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1. Classical Cardiovascular Risk Factors and HIV are Associated With Carotid Intima-Media Thickness in Adults From Sub-Saharan Africa: Findings From H3Africa AWI-Gen Study.

Author: Nonterah EA, Boua PR, Klipstein-Grobusch K, Asiki G, Micklesfield LK, Agongo G, Ali SA, Mashinya F, Sorgho H, Nakanabo-Diallo S, Debpuur C, Kyobutungi C, Alberts M, Norris S, Tollman S, Tinto H, Soo CC, Mukomana F, Hazelhurst S, Wade AN, Kahn K, Oduro AR, Grobbee DE, Sankoh O, Ramsay M, Bots ML, and Crowther NJ
Subjects: Adult, Age Factors, Blood Pressure, Body Mass Index, Burkina Faso epidemiology, Cardiovascular Diseases blood, Cholesterol, HDL blood, Cholesterol, LDL blood, Dyslipidemias blood, Female, Ghana epidemiology, Humans, Kenya epidemiology, Linear Models, Male, Middle Aged, Multilevel Analysis, Risk Factors, Sex Factors, South Africa epidemiology, Alcohol Drinking epidemiology, Cardiovascular Diseases epidemiology, Carotid Intima-Media Thickness, Dyslipidemias epidemiology, HIV Infections epidemiology, Hypertension epidemiology, Obesity epidemiology, Smoking epidemiology
Abstract: Background Studies on the determinants of carotid intima-media thickness ( CIMT ), a marker of sub-clinical atherosclerosis, mostly come from white, Asian, and diasporan black populations. We present CIMT data from sub-Saharan Africa, which is experiencing a rising burden of cardiovascular diseases and infectious diseases. Methods and Results The H3 (Human Hereditary and Health) in Africa's AWI-Gen (African-Wits-INDEPTH partnership for Genomic) study is a cross-sectional study conducted in adults aged 40 to 60 years from Burkina Faso, Kenya, Ghana, and South Africa. Cardiovascular disease risk and ultrasonography of the CIMT of right and left common carotids were measured. Multivariable linear and mixed-effect multilevel regression modeling was applied to determine factors related to CIMT. Data included 8872 adults (50.8% men), mean age of 50±6 years with age- and sex-adjusted mean (±SE) CIMT of 640±123μm. Participants from Ghana and Burkina Faso had higher CIMT compared with other sites. Age (β = 6.77, 95%CI [6.34-7.19]), body mass index (17.6[12.5-22.8]), systolic blood pressure (7.52[6.21-8.83]), low-density lipoprotein cholesterol (5.08[2.10-8.06]) and men (10.3[4.75- 15.9]) were associated with higher CIMT. Smoking was associated with higher CIMT in men. High-density lipoprotein cholesterol (-12.2 [-17.9- -6.41]), alcohol consumption (-13.5 [-19.1--7.91]) and HIV (-8.86 [-15.7--2.03]) were inversely associated with CIMT. Conclusions Given the rising prevalence of cardiovascular diseases risk factors in sub-Saharan Africa, atherosclerotic diseases may become a major pan-African epidemic unless preventive measures are taken particularly for prevention of hypertension, obesity, and smoking. HIV -specific studies are needed to fully understand the association between HIV and CIMT in sub-Saharan Africa.
Published: 2019
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2. Correlates of the double burden of malnutrition among women: an analysis of cross sectional survey data from sub-Saharan Africa.

Author: Amugsi DA, Dimbuene ZT, and Kyobutungi C
Subjects: Adolescent, Adult, Africa South of the Sahara epidemiology, Body Mass Index, Cross-Sectional Studies, Demography, Female, Humans, Logistic Models, Middle Aged, Prevalence, Risk Factors, Socioeconomic Factors, Young Adult, Health Surveys, Malnutrition epidemiology, Obesity epidemiology, Overweight epidemiology, Thinness epidemiology
Abstract: Objective: To investigate the correlates of the double burden of malnutrition (DBM) among women in five sub-Saharan African countries., Design: Secondary analysis of Demographic and Health Surveys (DHS). The outcome variable was body mass index (BMI), a measure of DBM. The BMI was classified into underweight (BMI <18.50 kg/m 2 ), normal weight (18.50-24.99 kg/m 2 ), overweight (25.0-29.9 kg/m 2 ) and obesity (≥30.0 kg/m 2 )., Settings: Ghana, Nigeria, Kenya, Mozambique and Democratic Republic of Congo (DRC)., Subjects: Women aged 15-49 years (n=64698)., Results: Compared with normal weight women, number of years of formal education was associated with the likelihood of being overweight and obese in Ghana, Mozambique and Nigeria, while associated with the likelihood of being underweight in Kenya and Nigeria. Older age was associated with the likelihood of being underweight, overweight and obese in all countries. Positive associations were also observed between living in better-off households and overweight and obesity, while a negative association was observed for underweight. Breastfeeding was associated with less likelihood of underweight in DRC and Nigeria, obesity in DRC and Ghana, overweight in Kenya and overweight and obesity in Mozambique and Nigeria relative to normal weight., Conclusions: Our analysis reveals that in all the countries, women who are breastfeeding are less likely to be underweight, overweight and obese. Education, age and household wealth index tend to associate with a higher likelihood of DBM among women. Interventions to address DBM should take into account the variations in the effects of these correlates., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
Published: 2019
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3. Understanding of and perceptions towards cardiovascular diseases and their risk factors: a qualitative study among residents of urban informal settings in Nairobi.

Author: Wekesah FM, Kyobutungi C, Grobbee DE, and Klipstein-Grobusch K
Subjects: Cardiovascular Diseases etiology, Cardiovascular Diseases prevention & control, Female, Focus Groups, Health Behavior, Health Knowledge, Attitudes, Practice, Health Promotion, Humans, Hypertension etiology, Kenya epidemiology, Male, Middle Aged, Obesity complications, Poverty, Preventive Health Services, Qualitative Research, Risk Factors, Urban Population, Alcohol Drinking adverse effects, Cardiovascular Diseases epidemiology, Diabetes Mellitus epidemiology, Hypertension epidemiology, Obesity epidemiology, Smoking adverse effects
Abstract: Objectives: The study explored the understanding of and perception towards cardiovascular disease (CVD) and risk factors, and how they influence prevention and development of the conditions, care-seeking and adhering to treatment., Setting: Informal settlements of Nairobi., Participants: Nine focus group discussions consisting of between six and eight purposively sampled participants were conducted among healthy individuals aged 20 years or older. A total of 65 participants (41 female) were involved., Results: Poverty, ignorance and illiteracy promoted behaviours like smoking, (harmful) alcohol consumption, physical inactivity and unhealthy diet, implicated in the development of obesity, diabetes and hypertension. Some respondents could not see the link between behavioural risk factors with diabetes, hypertension and stroke and heart attacks. Contaminated food items consumed by the residents and familial inheritance were factors that caused CVD, whereas emotional stress from constant worry was linked to hypertension, stroke and heart attacks. Few and inadequately equipped public health facilities were hindrances to treatment seeking and adherence to treatment for CVD conditions. Lack of medication in public health facilities was considered to be the single most important barrier to adherence to treatment next to lack of family support among older patients., Conclusion: Interventions to prevent and manage CVD in low-resource and urban poor settings should consider perceptions and understanding of risk factors for CVD, and the interrelationships among them while accounting for cultural and contextual issues for example, stigma and disregard for conventional medicine. Programmes should be informed by locally generated evidence on awareness and opportunities for CVD care, coupled with effective risk communication through healthcare providers. Screening for and treatment of CVD must address perceptions such as prohibitive cost of healthcare. Finally, social determinants of disease and health, mainly poverty and illiteracy, which are implicated in addressing CVD in low-resource settings, should be addressed., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
Published: 2019
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4. Regional and sex-specific variation in BMI distribution in four sub-Saharan African countries: The H3Africa AWI-Gen study.

Author: Ramsay M, Crowther NJ, Agongo G, Ali SA, Asiki G, Boua RP, Gómez-Olivé FX, Kahn K, Khayeka-Wandabwa C, Mashinya F, Micklesfield L, Mukomana F, Nonterah EA, Soo C, Sorgho H, Wade AN, Wagner RG, Alberts M, Hazelhurst S, Kyobutungi C, Norris SA, Oduro AR, Sankoh O, Tinto H, and Tollman S
Subjects: Adolescent, Adult, Africa South of the Sahara epidemiology, Aged, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Prevalence, Risk Factors, Black People statistics & numerical data, Body Mass Index, Geography, Obesity epidemiology, Overweight epidemiology, Sex Distribution, Social Class
Abstract: Background: African populations are characterised by diversity at many levels including: demographic history, genetic ancestry, language, wealth, socio-political landscape, culture and behaviour. Several of these have a profound impact on body fat mass. Obesity, a key risk factor for cardiovascular and metabolic diseases, in the wake of the epidemiological and health transitions across the continent, requires detailed analysis together with other major risk factors., Objective: To compare regional and sex-specific body mass index (BMI) distributions, using a cross-sectional study design, in adults aged 40-60 years across six study sites in four sub-Saharan African (SSA) countries and to compare the determinants of BMI at each., Methods: Anthropometric measurements were standardised across sites and BMI calculated. Median BMI and prevalence of underweight, lean, overweight and obesity were compared between the sexes and across sites. Data from multivariable linear regression models for the principal determinants of BMI were summarised from the site-specific studies., Results: BMI was calculated in 10,702 participants (55% female) and was significantly higher in women than men at nearly all sites. The highest prevalence of obesity was observed at the three South African sites (42.3-66.6% in women and 2.81-17.5% in men) and the lowest in West Africa (1.25-4.22% in women and 1.19-2.20% in men). Across sites, higher socio-economic status and educational level were associated with higher BMI. Being married and increased dietary intake were associated with higher BMI in some communities, whilst smoking and alcohol intake were associated with lower BMI, as was HIV infection in the regions where it was prevalent., Conclusion: In SSA there is a marked variation in the prevalence of obesity both regionally and between men and women. Our data suggest that the drive for social upliftment within Africa will be associated with rising levels of obesity, which will require the initiation of targeted sex-specific intervention programmes across specific African communities.
Published: 2018
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5. Interlinkage among cardio-metabolic disease markers in an urban poor setting in Nairobi, Kenya.

Author: Haregu TN, Oti S, Ngomi N, Khayeka-Wandabwa C, Egondi T, and Kyobutungi C
Subjects: Adult, Aged, Blood Glucose metabolism, Blood Pressure physiology, Cardiovascular Diseases blood, Comorbidity, Cross-Sectional Studies, Female, Humans, Hyperlipidemias epidemiology, Kenya epidemiology, Male, Middle Aged, Obesity blood, Poverty Areas, Prevalence, Risk Factors, Urban Population, Waist Circumference, Biomarkers blood, Cardiovascular Diseases epidemiology, Hypertension epidemiology, Obesity epidemiology
Abstract: Introduction: The main cardio-metabolic diseases - mostly cardiovascular diseases such as stroke and ischemic heart disease - share common clinical markers such as raised blood pressure and blood glucose. The pathways of development of many of these conditions are also interlinked. In this regard, a higher level of co-occurrence of the main cardio-metabolic disease markers is expected. Evidence about the patterns of occurrence of cardio-metabolic markers and their interlinkage in the sub-Saharan African setting is inadequate., Objective: The goal of the study was to describe the interlinkage among common cardio-metabolic disease markers in an African setting., Design: We used data collected in a cross-sectional study from 5,190 study participants as part of cardiovascular disease risk assessment in the urban slums of Nairobi, Kenya. Five commonly used clinical markers of cardio-metabolic conditions were considered in this analysis. These markers were waist circumference, blood pressure, random blood glucose, total blood cholesterol, and triglyceride levels. Patterns of these markers were described using means, standard deviations, and proportions. The associations between the markers were determined using odds ratios., Results: The weighted prevalence of central obesity, hypertension, hyperglycemia, hypercholesterolemia, and hypertriglyceridemia were 12.3%, 7.0%, 2.5%, 10.3%, and 17.3%, respectively. Women had a higher prevalence of central obesity and hypercholesterolemia as compared to men. Blood glucose was strongly associated with central obesity, blood pressure, and triglyceride levels, whereas the association between blood glucose and total blood cholesterol was not statistically significant., Conclusions: This study shows that most of the common cardio-metabolic markers are interlinked, suggesting a higher probability of comorbidity due to cardio-metabolic conditions and thus the need for integrated approaches.
Published: 2016
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6. Evidence of a Double Burden of Malnutrition in Urban Poor Settings in Nairobi, Kenya.

Author: Kimani-Murage EW, Muthuri SK, Oti SO, Mutua MK, van de Vijver S, and Kyobutungi C
Subjects: Adolescent, Adult, Body Mass Index, Child, Child, Preschool, Female, Humans, Infant, Kenya epidemiology, Male, Malnutrition diagnosis, Nutritional Status physiology, Poverty, Risk Factors, Socioeconomic Factors, Young Adult, Malnutrition epidemiology, Obesity epidemiology, Poverty Areas, Thinness epidemiology, Urban Population
Abstract: Background: Many low- and middle-income countries are undergoing a nutrition transition associated with rapid social and economic transitions. We explore the coexistence of over and under- nutrition at the neighborhood and household level, in an urban poor setting in Nairobi, Kenya., Methods: Data were collected in 2010 on a cohort of children aged under five years born between 2006 and 2010. Anthropometric measurements of the children and their mothers were taken. Additionally, dietary intake, physical activity, and anthropometric measurements were collected from a stratified random sample of adults aged 18 years and older through a separate cross-sectional study conducted between 2008 and 2009 in the same setting. Proportions of stunting, underweight, wasting and overweight/obesity were dettermined in children, while proportions of underweight and overweight/obesity were determined in adults., Results: Of the 3335 children included in the analyses with a total of 6750 visits, 46% (51% boys, 40% girls) were stunted, 11% (13% boys, 9% girls) were underweight, 2.5% (3% boys, 2% girls) were wasted, while 9% of boys and girls were overweight/obese respectively. Among their mothers, 7.5% were underweight while 32% were overweight/obese. A large proportion (43% and 37%%) of overweight and obese mothers respectively had stunted children. Among the 5190 adults included in the analyses, 9% (6% female, 11% male) were underweight, and 22% (35% female, 13% male) were overweight/obese., Conclusion: The findings confirm an existing double burden of malnutrition in this setting, characterized by a high prevalence of undernutrition particularly stunting early in life, with high levels of overweight/obesity in adulthood, particularly among women. In the context of a rapid increase in urban population, particularly in urban poor settings, this calls for urgent action. Multisectoral action may work best given the complex nature of prevailing circumstances in urban poor settings. Further research is needed to understand the pathways to this coexistence, and to test feasibility and effectiveness of context-specific interventions to curb associated health risks.
Published: 2015
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7. Overweight, obesity, and perception of body image among slum residents in Nairobi, Kenya, 2008-2009.

Author: Ettarh R, Van de Vijver S, Oti S, and Kyobutungi C
Subjects: Adolescent, Adult, Body Mass Index, Cardiovascular Diseases prevention & control, Cross-Sectional Studies, Female, Humans, Kenya epidemiology, Logistic Models, Male, Middle Aged, Population Surveillance, Risk Factors, Sex Distribution, Socioeconomic Factors, Young Adult, Body Image psychology, Health Behavior, Obesity epidemiology, Overweight epidemiology, Poverty Areas
Abstract: Introduction: The increase in cardiovascular diseases in sub-Saharan Africa has been attributed in part to the changes in lifestyle, and the prevalence of risk factors for cardiovascular disease is higher among urban populations than among nonurban populations. The objective of this study was to determine the prevalence of overweight and obesity and examine perceptions of body size differentiated by sex and other determinants among slum dwellers in Nairobi, Kenya., Methods: Analysis included 4,934 adults randomly selected from the Korogocho and Viwandani slums of Nairobi. Height and weight were measured during interviews; body mass index (BMI) was calculated. Perceptions of current and ideal body image were determined by using 18 silhouette drawings of body sizes ranging from very thin to very obese. We used multivariate logistic regression analysis to determine predictors of underestimation of body weight among overweight and obese respondents., Results: Overall, 43.4% of women and 17.3% of men in the study population were overweight or obese. More than half (53%) of those who were overweight or obese underestimated their weight; 34.6% of women and 16.9% of men did so. In all BMI categories, more than one-third of women and men preferred body sizes classified as overweight or obese., Conclusion: This study highlights the prevalence of overweight and obesity and the strong preference for larger body size among adults in the slums of Nairobi. Interventions to educate residents on the health risks associated with excess body weight are necessary as a part of strategies to reduce the prevalence of risk factors for cardiovascular disease in these settlements.
Published: 2013
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8. The magnitude of diabetes and its association with obesity in the slums of Nairobi, Kenya: results from a cross-sectional survey.

Author: Oti SO, van de Vijver SJ, Agyemang C, and Kyobutungi C
Subjects: Adolescent, Adult, Age Factors, Blood Glucose analysis, Cross-Sectional Studies, Diabetes Mellitus etiology, Diabetes Mellitus therapy, Female, Humans, Kenya epidemiology, Male, Middle Aged, Obesity complications, Prevalence, Risk Factors, Sex Factors, Young Adult, Diabetes Mellitus epidemiology, Obesity epidemiology, Poverty Areas
Abstract: Objectives: To assess the prevalence, awareness, treatment and control of diabetes and to examine the relationship of obesity with raised blood glucose in the slums of Nairobi, Kenya., Methods: We used data from a cross-sectional population-based survey, conducted in 2008-2009, involving a random sample of 5190 (2794 men and 2396 women) adults aged ≥18 years living in two slums - Korogocho and Viwandani - in Nairobi., Results: The prevalence (weighted by sampling and response rates) of diabetes was 4.8% (95%CI 4.0-5.7) in women and 4.0% (95%CI 3.3-4.7) in men. Less than a quarter of those found to have diabetes were aware of their condition among which just over half of men and three-quarters of women reported being on any treatment in the 12 months preceding the survey. Overall, fewer than 5% of all people with diabetes had their blood sugar under control. Obesity and overweight were significantly associated with increased odds (1.7, 95%CI 1.1-2.6) of raised blood glucose only among women while adjusting for important covariates., Conclusion: The prevalence of diabetes in this impoverished population is moderately high, while the levels of awareness, treatment and control are quite low. In this population, obesity is an important risk factor for raised blood glucose particularly among women. Prevention and control strategies that target modifiable risk factors for diabetes and increase access to treatment and control in such disadvantaged settings are urgently needed., (© 2013 John Wiley & Sons Ltd.)
Published: 2013
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9. Trends in obesity and diabetes across Africa from 1980 to 2014: an analysis of pooled population-based studies

Author: Kengne, Andre Pascal, Bentham, James, Zhou, Bin, Peer, Nasheeta, Matsha, Tandi E, Bixby, Honor, Di Cesare, Mariachiara, Hajifathalian, Kaveh, Lu, Yuan, Taddei, Cristina, Bovet, Pascal, Kyobutungi, Catherine, Agyemang, Charles, Aounallah-Skhiri, Hajer, Assah, Felix K, Barkat, Amina, Romdhane, Habiba Ben, Chan, Queenie, Chaturvedi, Nishi, Damasceno, Albertino, Delisle, Hélène, Delpeuch, Francis, Doua, Kouamelan, Egbagbe, Eruke E, Ati, Jalila El, Elliott, Paul, Engle-Stone, Reina, Erasmus, Rajiv T, Fouad, Heba M, Gareta, Dickman, Gureje, Oye, Hendriks, Marleen Elisabeth, Houti, Leila, Ibrahim, Mohsen M, Kemper, Han CG, Killewo, Japhet, Kowlessur, Sudhir, Kruger, Herculina S, Laamiri, Fatima Zahra, Laid, Youcef, Levitt, Naomi S, Lunet, Nuno, Magliano, Dianna J, Maire, Bernard, Martin-Prevel, Yves, Mediene-Benchekor, Sounnia, Mohamed, Mostafa K, Mondo, Charles K, Monyeki, Kotsedi Daniel, Mostafa, Aya, Nankap, Martin, Owusu-Dabo, Ellis, de Wit, Tobias F Rinke, Saidi, Olfa, Schultsz, Constance, Schutte, Aletta E, Senbanjo, Idowu O, Shaw, Jonathan E, Smeeth, Liam, Sobngwi, Eugène, Jérome, Charles Sossa, Stronks, Karien, Tanser, Frank, Tchibindat, Félicité, Traissac, Pierre, Tshepo, Lechaba, Tullu, Fikru, Ukoli, Flora AM, Viswanathan, Bharathi, Wade, Alisha N, Danaei, Goodarz, Stevens, Gretchen A, Riley, Leanne M, Ezzati, Majid, and Mbanya, Jean Claude N
Subjects: Nutrition, Diabetes, Obesity, Clinical Research, Prevention, Metabolic and endocrine, Good Health and Well Being, Adolescent, Adult, Africa, Age Distribution, Aged, Aged, 80 and over, Bayes Theorem, Body Mass Index, Cost of Illness, Diabetes Mellitus, Female, Global Health, Health Surveys, Humans, Male, Middle Aged, Prevalence, Sex Distribution, Young Adult, adiposity, body mass index, prevalence, trends, NCD Risk Factor Collaboration (NCD-RisC) – Africa Working Group, Statistics, Public Health and Health Services, Epidemiology
Abstract: BackgroundThe 2016 Dar Es Salaam Call to Action on Diabetes and Other non-communicable diseases (NCDs) advocates national multi-sectoral NCD strategies and action plans based on available data and information from countries of sub-Saharan Africa and beyond. We estimated trends from 1980 to 2014 in age-standardized mean body mass index (BMI) and diabetes prevalence in these countries, in order to assess the co-progression and assist policy formulation.MethodsWe pooled data from African and worldwide population-based studies which measured height, weight and biomarkers to assess diabetes status in adults aged ≥ 18 years. A Bayesian hierarchical model was used to estimate trends by sex for 200 countries and territories including 53 countries across five African regions (central, eastern, northern, southern and western), in mean BMI and diabetes prevalence (defined as either fasting plasma glucose of ≥ 7.0 mmol/l, history of diabetes diagnosis, or use of insulin or oral glucose control agents).ResultsAfrican data came from 245 population-based surveys (1.2 million participants) for BMI and 76 surveys (182 000 participants) for diabetes prevalence estimates. Countries with the highest number of data sources for BMI were South Africa (n = 17), Nigeria (n = 15) and Egypt (n = 13); and for diabetes estimates, Tanzania (n = 8), Tunisia (n = 7), and Cameroon, Egypt and South Africa (all n = 6). The age-standardized mean BMI increased from 21.0 kg/m2 (95% credible interval: 20.3-21.7) to 23.0 kg/m2 (22.7-23.3) in men, and from 21.9 kg/m2 (21.3-22.5) to 24.9 kg/m2 (24.6-25.1) in women. The age-standardized prevalence of diabetes increased from 3.4% (1.5-6.3) to 8.5% (6.5-10.8) in men, and from 4.1% (2.0-7.5) to 8.9% (6.9-11.2) in women. Estimates in northern and southern regions were mostly higher than the global average; those in central, eastern and western regions were lower than global averages. A positive association (correlation coefficient ≃ 0.9) was observed between mean BMI and diabetes prevalence in both sexes in 1980 and 2014.ConclusionsThese estimates, based on limited data sources, confirm the rapidly increasing burden of diabetes in Africa. This rise is being driven, at least in part, by increasing adiposity, with regional variations in observed trends. African countries' efforts to prevent and control diabetes and obesity should integrate the setting up of reliable monitoring systems, consistent with the World Health Organization's Global Monitoring System Framework.
Published: 2017

10. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults

Author: Abarca-GÃ³mez, Leandra, Abdeen, Ziad A, Hamid, Zargar Abdul, Abu-Rmeileh, Niveen M, Acosta-Cazares, Benjamin, Acuin, Cecilia, Adams, Robert J, Aekplakorn, Wichai, Afsana, Kaosar, Aguilar-Salinas, Carlos A, Agyemang, Charles, Ahmadvand, Alireza, Ahrens, Wolfgang, Ajlouni, Kamel, Akhtaeva, Nazgul, Al-Hazzaa, Hazzaa M, Al-Othman, Amani Rashed, Al-Raddadi, Rajaa, Al Buhairan, Fadia, Al Dhukair, Shahla, Ali, Mohamed M, Ali, Osman, Alkerwi, Ala'a, Alvarez-Pedrerol, Mar, Aly, Eman, Amarapurkar, Deepak N, Amouyel, Philippe, Amuzu, Antoinette, Andersen, Lars Bo, Anderssen, Sigmund A, Andrade, Dolores S, Ã„ngquist, Lars H, Anjana, Ranjit Mohan, Aounallah-Skhiri, Hajer, AraÃºjo, Joana, Ariansen, Inger, Aris, Tahir, Arlappa, Nimmathota, Arveiler, Dominique, Aryal, Krishna K, Aspelund, Thor, Assah, Felix K, AssunÃ§Ã£o, Maria CecÃlia F, Aung, May Soe, AvdicovÃ¡, MÃ¡ria, Azevedo, Ana, Azizi, Fereidoun, Babu, Bontha V, Bahijri, Suhad, Baker, Jennifer L, Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, JosÃ© R, Barbagallo, Carlo M, BarcelÃ³, Alberto, Barkat, Amina, Barros, Aluisio JD, Barros, Mauro VG, Bata, Iqbal, Batieha, Anwar M, Batista, Rosangela L, Batyrbek, Assembekov, Baur, Louise A, Beaglehole, Robert, Romdhane, Habiba Ben, Benedics, Judith, Benet, Mikhail, Bennett, James E, Bernabe-Ortiz, Antonio, Bernotiene, Gailute, Bettiol, Heloisa, Bhagyalaxmi, Aroor, Bharadwaj, Sumit, Bhargava, Santosh K, Bhatti, Zaid, Bhutta, Zulfiqar A, Bi, Hongsheng, Bi, Yufang, Biehl, Anna, Bikbov, Mukharram, Bista, Bihungum, Bjelica, Dusko J, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B, BjÃ¶rkelund, Cecilia, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boddy, Lynne M, Boehm, Bernhard O, Boeing, Heiner, Boggia, Jose G, Boissonnet, Carlos P, Bonaccio, Marialaura, Bongard, Vanina, Bovet, Pascal, Braeckevelt, Lien, Braeckman, Lutgart, Bragt, Marjolijn CE, Brajkovich, Imperia, Branca, Francesco, Breckenkamp, Juergen, Breda, JoÃ£o, Brenner, Hermann, Brewster, Lizzy M, Brian, Garry R, Brinduse, Lacramioara, Bruno, Graziella, Bueno-de-Mesquita, H B(as), Bugge, Anna, Buoncristiano, Marta, Burazeri, Genc, Burns, Con, de LeÃ³n, Antonio Cabrera, Cacciottolo, Joseph, Cai, Hui, Cama, Tilema, Cameron, Christine, Camolas, JosÃ©, Can, GÃ¼nay, CÃ¢ndido, Ana Paula C, Capanzana, Mario, Capuano, Vincenzo, Cardoso, Viviane C, Carlsson, Axel C, Carvalho, Maria J, Casanueva, Felipe F, Casas, Juan-Pablo, Caserta, Carmelo A, Chamukuttan, Snehalatha, Chan, Angelique W, Chan, Queenie, Chaturvedi, Himanshu K, Chaturvedi, Nishi, Chen, Chien-Jen, Chen, Fangfang, Chen, Huashuai, Chen, Shuohua, Chen, Zhengming, Cheng, Ching-Yu, Chetrit, Angela, Chikova-Iscener, Ekaterina, Chiolero, Arnaud, Chiou, Shu-Ti, Chirita-Emandi, Adela, Chirlaque, MarÃa-Dolores, Cho, Belong, Cho, Yumi, Christensen, Kaare, Christofaro, Diego G, Chudek, Jerzy, Cifkova, Renata, Cinteza, Eliza, Claessens, Frank, Clays, Els, Concin, Hans, Confortin, Susana C, Cooper, Cyrus, Cooper, Rachel, Coppinger, Tara C, Costanzo, Simona, Cottel, Dominique, Cowell, Chris, Craig, Cora L, Crujeiras, Ana B, CUCU, ALEXANDRA, D'Arrigo, Graziella, d'Orsi, Eleonora, Dallongeville, Jean, Damasceno, Albertino, Damsgaard, Camilla T, Danaei, Goodarz, Dankner, Rachel, Dantoft, Thomas M, Dastgiri, Saeed, Dauchet, Luc, Davletov, Kairat, De Backer, Guy, De Bacquer, Dirk, De Curtis, Amalia, de Gaetano, Giovanni, De Henauw, Stefaan, de Oliveira, Paula Duarte, De Ridder, Karin, De Smedt, Delphine, Deepa, Mohan, Deev, Alexander D, Dehghan, Abbas, Delisle, HÃ©lÃne, Delpeuch, Francis, Deschamps, ValÃ©rie, Dhana, Klodian, Di Castelnuovo, Augusto F, Dias-da-Costa, Juvenal Soares, Diaz, Alejandro, Dika, Zivka, Djalalinia, Shirin, Do, Ha TP, Dobson, Annette J, Donati, Maria Benedetta, Donfrancesco, Chiara, Donoso, Silvana P, DÃ¶ring, Angela, Dorobantu, Maria, Dorosty, Ahmad Reza, Doua, Kouamelan, Drygas, Wojciech, Duan, Jia Li, Duante, Charmaine, Duleva, Vesselka, Dulskiene, Virginija, Dzerve, Vilnis, Dziankowska-Zaborszczyk, Elzbieta, Egbagbe, Eruke E, Eggertsen, Robert, Eiben, Gabriele, Ekelund, Ulf, El Ati, Jalila, Elliott, Paul, Engle-Stone, Reina, Erasmus, Rajiv T, Erem, Cihangir, Eriksen, Louise, Eriksson, Johan G, la PeÃ±a, Jorge Escobedo-de, Evans, Alun, Faeh, David, Fall, Caroline H, Sant'Angelo, Victoria Farrugia, Farzadfar, Farshad, Felix-Redondo, Francisco J, Ferguson, Trevor S, Fernandes, Romulo A, FernÃ¡ndez-BergÃ©s, Daniel, Ferrante, Daniel, Ferrari, Marika, Ferreccio, Catterina, Ferrieres, Jean, Finn, Joseph D, Fischer, Krista, Flores, Eric Monterubio, FÃ¶ger, Bernhard, Foo, Leng Huat, Forslund, Ann-Sofie, Forsner, Maria, Fouad, Heba M, Francis, Damian K, Franco, Maria do Carmo, Franco, Oscar H, Frontera, Guillermo, Fuchs, Flavio D, Fuchs, Sandra C, Fujita, Yuki, Furusawa, Takuro, Gaciong, Zbigniew, Gafencu, Mihai, Galeone, Daniela, Galvano, Fabio, Garcia de la Hera, Manoli, Gareta, Dickman, Garnett, Sarah P, Gaspoz, Jean-Michel, Gasull, Magda, Gates, 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León-Muñoz, Luz M, Li, Yanping, Lozano, José Eugenio, Ma, Guansheng, Ma, Jun, McFarlane, Shelly R, McGarvey, Stephen T, McKee, Martin, McLachlan, Stela, McLean, Rachael M, McLean, Scott B, McNulty, Breige A, Meisfjord, Jørgen, Mi, Jie, Minderico, Cláudia S, Mišigoj-Durakovic, Marjeta, Møllehave, Line T, Møller, Niels C, Molnár, Déne, Mu, Thet Thet, Müller-Nurasyid, Martina, Námešná, Jana, Navarrete-Muñoz, Eva Maria, Nieto-Martínez, Ramfis E, Oh, Kyungwon, Olafsson, Örn, Pérez, Cynthia M, Plans-Rubió, Pedro, Rodríguez-Artalejo, Fernando, del Cristo Rodriguez-Perez, María, Rodríguez-Villamizar, Laura A, Rühli, Frank J, Salmerón, Diego, Sánchez-Abanto, Jose, Sandjaja, null, Sjöberg, Agneta, Sjöström, Michael, So, Hung-Kwan, Sobngwi, Eugène, Söderberg, Stefan, Sørensen, Thorkild IA, Jérome, Charles Sossa, Stöckl, Dori, Suárez-Medina, Ramón, Sundström, Johan, Sy, Rody G, Braunerová, Radka Taxová, Tchibindat, Félicité, Topór-Madry, Roman, Tormo, María José, Völzke, Henry, Waldhör, Thoma, Wu, Frederick C, Wu, Jianfeng, Wu, Shouling, Xu, Haiquan, Xu, Liang, Ye, Xingwang, Zamrazilová, Hana, Cisneros, Julio Zuñiga, and Lu, Yuan
Subjects: Male, obesity, Pediatric Obesity, Settore MED/09 - Medicina Interna, age distribution, Bayes theorem, Niue, [SDV]Life Sciences [q-bio], global health, preschool child, Body Mass Index, underweight, Prevalence, statistics and numerical data, Child, ComputingMilieux_MISCELLANEOUS, Medicine (all), adult, Age Factors, American Samoa, female, priority journal, Child, Preschool, body height, young adult, Cook Islands, Nauru, childhood obesity, Adolescent, Palau, sex difference, Eastern Europe, adolescent obesity, Article, Polynesia, South and Central America, body weight, Federated States of Micronesia, Sex Factors, Thinness, geographic distribution, Humans, controlled study, human, Caribbean, Overweight, North Africa, major clinical study, body mass, United States, purl.org/pe-repo/ocde/ford#3.02.00 [https], age, sex factor, trend study
Abstract: © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licenseBackground Underweight, overweight, and obesity in childhood and adolescence are associated with adverse health consequences throughout the life-course. Our aim was to estimate worldwide trends in mean body-mass index (BMI) and a comprehensive set of BMI categories that cover underweight to obesity in children and adolescents, and to compare trends with those of adults. Methods We pooled 2416 population-based studies with measurements of height and weight on 128·9 million participants aged 5 years and older, including 31·5 million aged 5–19 years. We used a Bayesian hierarchical model to estimate trends from 1975 to 2016 in 200 countries for mean BMI and for prevalence of BMI in the following categories for children and adolescents aged 5–19 years: more than 2 SD below the median of the WHO growth reference for children and adolescents (referred to as moderate and severe underweight hereafter), 2 SD to more than 1 SD below the median (mild underweight), 1 SD below the median to 1 SD above the median (healthy weight), more than 1 SD to 2 SD above the median (overweight but not obese), and more than 2 SD above the median (obesity). Findings Regional change in age-standardised mean BMI in girls from 1975 to 2016 ranged from virtually no change (−0·01 kg/m2 per decade; 95% credible interval −0·42 to 0·39, posterior probability [PP] of the observed decrease being a true decrease=0·5098) in eastern Europe to an increase of 1·00 kg/m2 per decade (0·69–1·35, PP>0·9999) in central Latin America and an increase of 0·95 kg/m2 per decade (0·64–1·25, PP>0·9999) in Polynesia and Micronesia. The range for boys was from a non-significant increase of 0·09 kg/m2 per decade (−0·33 to 0·49, PP=0·6926) in eastern Europe to an increase of 0·77 kg/m2 per decade (0·50–1·06, PP>0·9999) in Polynesia and Micronesia. Trends in mean BMI have recently flattened in northwestern Europe and the high-income English-speaking and Asia-Pacific regions for both sexes, southwestern Europe for boys, and central and Andean Latin America for girls. By contrast, the rise in BMI has accelerated in east and south Asia for both sexes, and southeast Asia for boys. Global age-standardised prevalence of obesity increased from 0·7% (0·4–1·2) in 1975 to 5·6% (4·8–6·5) in 2016 in girls, and from 0·9% (0·5–1·3) in 1975 to 7·8% (6·7–9·1) in 2016 in boys; the prevalence of moderate and severe underweight decreased from 9·2% (6·0–12·9) in 1975 to 8·4% (6·8–10·1) in 2016 in girls and from 14·8% (10·4–19·5) in 1975 to 12·4% (10·3–14·5) in 2016 in boys. Prevalence of moderate and severe underweight was highest in India, at 22·7% (16·7–29·6) among girls and 30·7% (23·5–38·0) among boys. Prevalence of obesity was more than 30% in girls in Nauru, the Cook Islands, and Palau; and boys in the Cook Islands, Nauru, Palau, Niue, and American Samoa in 2016. Prevalence of obesity was about 20% or more in several countries in Polynesia and Micronesia, the Middle East and north Africa, the Caribbean, and the USA. In 2016, 75 (44–117) million girls and 117 (70–178) million boys worldwide were moderately or severely underweight. In the same year, 50 (24–89) million girls and 74 (39–125) million boys worldwide were obese. Interpretation The rising trends in children's and adolescents' BMI have plateaued in many high-income countries, albeit at high levels, but have accelerated in parts of Asia, with trends no longer correlated with those of adults. Funding Wellcome Trust, AstraZeneca Young Health Programme.
Published: 2017

11. Rising rural body-mass index is the main driver of the global obesity epidemic in adults

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C., Solomon, Bethlehem D., Cowan, Melanie J., Riley, Leanne M., Danaei, Goodarz, Bovet, Pascal, Chirita-Emandi, Adela, Hambleton, Ian R., Hayes, Alison J., Ikeda, Nayu, Kengne, Andre P., Laxmaiah, Avula, Li, Yanping, McGarvey, Stephen T., Mostafa, Aya, Neovius, Martin, Starc, Gregor, Zainuddin, Ahmad A., Abarca-Gomez, Leandra, Abdeen, Ziad A., Abdrakhmanova, Shynar, Ghaffar, Suhaila Abdul, Hamid, Zargar Abdul, Garba, Jamila Abubakar, Abu-Rmeileh, Niveen M., Acosta-Cazares, Benjamin, Adams, Robert J., Aekplakorn, Wichai, Afsana, Kaosar, Agdeppa, Imelda A., Aguilar-Salinas, Carlos A., Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmad, Noor Ani, Ahmadi, Naser, Ahmadvand, Alireza, Ahrens, Wolfgang, Ajlouni, Kamel, AlBuhairan, Fadia, AlDhukair, Shahla, Al-Hazzaa, Hazzaa M., Ali, Mohamed M., Ali, Osman, Alkerwi, Ala'a, Al-Othman, Amani Rashed, Al-Raddadi, Rajaa, Alvarez-Pedrerol, Mar, Aly, Eman, Amarapurkar, Deepak N., Amouyel, Philippe, Amuzu, Antoinette, Bo, Lars, Anderssen, Sigmund A., Angquist, Lars H., Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Aounallah-Skhiri, Hajer, Araujo, Joana, Ariansen, Inger, Aris, Tahir, Arku, Raphael E., Arlappa, Nimmathota, Aryal, Krishna K., Aspelund, Thor, Assah, Felix K., Assuncao, Maria Cecilia F., Aung, May Soe, Auvinen, Juha, Avdicova, Maria, Azevedo, Ana, Azizi, Fereidoun, Azmin, Mehrdad, Babu, Bontha V., Baharudin, Azli, Bahijri, Suhad, Baker, Jennifer L., Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, Jose R., Barbagallo, Carlo M., Barcelo, Alberto, Barkat, Amina, Barros, Aluisio J. 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A, Plans-Rubió P, Poh BK, Pohlabeln H, Pop RM, Popovic SR, Porta M, Portegies MLP, Posch G, Poulimeneas D, Pouraram H, Pourshams A, Poustchi H, Pradeepa R, Price AJ, Price JF, Puder JJ, Pudule I, Puhakka SE, Puiu M, Punab M, Qasrawi RF, Qorbani M, Quoc Bao T, Radhika MS, Radic I, Radisauskas R, Rahman M, Raitakari O, Raj M, Rajkumar H, Rakhmatulloev S, Ramachandra Rao S, Ramachandran A, Ramke J, Ramos E, Ramos R, Rampal L, Rampal S, Rao KM, Rascon-Pacheco RA, Rasmussen M, Redon J, Reganit PFM, Regecová V, Revilla L, Ribas-Barba L, Ribeiro R, Riboli E, Rigo F, Rinaldo N, Rinke de Wit TF, Rito A, Ritti-Dias RM, Rivera JA, Robitaille C, Rodrigues D, Rodríguez-Artalejo F, Rodriguez-Perez MC, Rodríguez-Villamizar LA, Rojas-Martinez R, Rojroongwasinkul N, Romaguera D, Rosengren A, Rouse I, Roy JGR, Rubinstein A, Rühli FJ, Ruidavets J-B, Ruiz Moreno E, Ruiz-Betancourt BS, Russo P, Rust P, Rutkowski M, Sabanayagam C, Sachdev HS, Safiri S, Saidi O, Salanave B, Salazar-Martinez E, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Sánchez-Abanto J, Sandjaja, Sans S, Santa-Marina L, Santos DA, Santos IS, Santos O, Santos R, Sanz SS, Saramies JL, Sardinha LB, Sarrafzadegan N, Saum K-U, Savva S, Savy M, Scazufca M, Schaffrath Rosario A, Schargrodsky H, Schienkiewitz A, Schindler K, Schipf S, Schmidt CO, Schmidt IM, Schöttker B, Schultsz C, Schutte AE, Sebert S, Sein AA, Selamat R, Sember V, Sen A, Senbanjo IO, Sepanlou SG, Sequera V, Serra-Majem L, Servais J, Shalnova SA, Sharma SK, Shaw JE, Shengelia L, Shibuya K, Shimizu-Furusawa H, Shin DW, Shin Y, Siani A, Siantar R, Sibai AM, Silva AM, Silva DAS, Simon M, Simons J, Simons LA, Si-Ramlee K, Sjöberg A, Sjöström M, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, Snijder MB, So H-K, Sobngwi E, Söderberg S, Soekatri MYE, Soemantri A, Solfrizzi V, Sonestedt E, Song Y, Sørensen TIA, Sossa Jérome C, Soumaré A, Spinelli A, Spiroski I, Staessen JA, Stamm H, Stathopoulou MG, Staub K, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, 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H, Zapata ME, Zaw KK, Zdrojewski T, Zeljkovic Vrkic T, Zeng Y, Zhao D, Zhao W, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zhussupov B, Zimmermann E, Zuñiga Cisneros J, Ezzati M, Yiallouros, Panayiotis K. [0000-0002-8339-9285], APH - Societal Participation & Health, APH - Aging & Later Life, Epidemiology and Data Science, Public and occupational health, APH - Health Behaviors & Chronic Diseases, and APH - Personalized Medicine
Subjects: Male, Rural Population, obesity, Obesity, body mass index, Settore MED/09 - Medicina Interna, Letter, Urban Population, Epidemiology, [SDV]Life Sciences [q-bio], humanos, body-mass index, adolescente, Geographic Mapping, Sex Factor, países desarrollados, Rural Health, purl.org/pe-repo/ocde/ford#3.03.09 [https], systematic analysis, Body Mass Index, países en desarrollo, 80 and over, risk factors, Age Factor, physical-activity, mediana edad, mapeo geográfico, Aged, 80 and over, anciano, purl.org/pe-repo/ocde/ford#3.02.18 [https], dieta, Age Factors, health, adulto, Middle Aged, Multidisciplinary Sciences, adulto joven, [SDV] Life Sciences [q-bio], estado nutricional, nutrition, Science & Technology - Other Topics, NUTRITION, Female, HEALTH, pooled analysis, Diet, Healthy, worldwide trends, Human, Developed Countrie, Adult, Adolescent, purl.org/pe-repo/ocde/ford#3.03.04 [https], FOOD SYSTEM, Socio-culturale, Nutritional Status, URBAN, Aged, Developed Countries, Developing Countries, Humans, Obesity, Sex Factors, Urban Health, Young Adult, POOLED ANALYSIS, Developing Countrie, MIDDLE-INCOME COUNTRIES, SYSTEMATIC ANALYSIS, Urban rural Obesity Body-Mass-Index, obesidad, Middle-income countries, food system, urban, weight, Healthy, Science & Technology, índice de masa corporal, Diet, PHYSICAL-ACTIVITY, WORLDWIDE TRENDS, Risk factors, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, WEIGHT
Abstract: Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities(.)(1,2) This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity(3-6). Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55% of the global rise in mean BMI from 1985 to 2017-and more than 80% in some low- and middle-income regions-was due to increases in BMI in rural areas. This large contribution stems from the fact that, with the exception of women in sub-Saharan Africa, BMI is increasing at the same rate or faster in rural areas than in cities in low- and middle-income regions. These trends have in turn resulted in a closing-and in some countries reversal-of the gap in BMI between urban and rural areas in low- and middle-income countries, especially for women. In high-income and industrialized countries, we noted a persistently higher rural BMI, especially for women. There is an urgent need for an integrated approach to rural nutrition that enhances financial and physical access to healthy foods, to avoid replacing the rural undernutrition disadvantage in poor countries with a more general malnutrition disadvantage that entails excessive consumption of low-quality calories., This study was funded by the Wellcome Trust. H.B. was supported by a Medical Research Council Doctoral Training Partnership Studentship, J.B. by a Royal Society Research Grant, and M.D.C. by an Academy of Medical Sciences Springboard Award. We thank L. Jaacks, B. Popkin, S. Sundberg and W. Willett for recommendations of relevant citations. The authors are responsible for the views expressed in this Letter and they do not necessarily represent the views, decisions, or policies of the institutions with which they are affiliated.
Published: 2019

12. Adiposity Phenotypes and Subclinical Atherosclerosis in Adults from Sub-Saharan Africa: An H3Africa AWI-Gen Study.

Author: Nonterah, Engelbert A., Bots, Michiel L., Oduro, Abraham, Agongo, Godfred, Soo, Cassandra C., Micklesfield, Lisa K., Mashinya, Felistas, Boua, Palwendé R., Mohamed, Shukri F., Wade, Alisha N., Kyobutungi, Catherine, Tinto, Halidou, Norris, Shane A., Tollman, Stephen M., Ramsay, Michèle, Grobbee, Diederick E., Klipstein-Grobusch, Kerstin, and Crowther, Nigel J.
Abstract: Background: Obesity and adipose tissue distribution contribute to an increased risk of cardiovascular disease (CVD) by promoting atherosclerosis. This association has been poorly studied in sub-Saharan Africa (SSA) despite the rising prevalence of cardiovascular disease. Objectives: We determined the association between various adiposity phenotypes and carotid intima-media thickness (CIMT), a proxy of subclinical atherosclerosis, in a large SSA population. Methods: A population-based cross-sectional study was performed from 2013-2016 in Burkina Faso, Ghana, Kenya and South Africa. Body mass index (BMI), waist (WC), hip circumferences (HC), visceral (VAT) and subcutaneous adipose tissue (SCAT) using B-mode ultrasound were measured. Ultrasonography of left and right far wall CIMT of the common carotid artery was used as an indicator of subclinical atherosclerosis. Individual participant data meta-analyses were used to determine the associations between adiposity phenotypes and CIMT in the pooled sample while adjusted multivariable linear regression analyses were used for site specific analyses. Results: Data were obtained from 9,010 adults (50.3% women and a mean age of 50± 6years). Men had higher levels of visceral fat than women while women had higher BMI, waist and hip circumference and subcutaneous fat than men at all sites except Burkina Faso. In the pooled analyses, BMI (ß-value [95% CIs]: 19.5 [16.8, 22.3] µm) showed the strongest relationship with CIMT followed by VAT (5.86 [4.65, 7.07] µm), SCAT (5.00 [2.85, 7.15] µm), WC (1.27 [1.09, 1.44] µm) and HC (1.23 [1.04, 1.42] µm). Stronger associations were observed in men than in women. Conclusion: Obesity within SSA will likely result in higher levels of atherosclerosis and promote the occurrence of cardio- and cerebrovascular events, especially in males, unless addressed through primary prevention of obesity in both rural and urban communities across Africa. The inverse association of VAT with CIMT in Burkina Faso and Ghana requires further investigation. Highlights • All adiposity phenotypes were positively associated with common carotid intima-media thickness (CIMT) in the entire cohort (pooled analyses). • BMI had the strongest association with CIMT compared to other phenotypes. • The magnitude of association between adiposity phenotypes and CIMT was higher in men than in women. • Subcutaneous adipose tissue was inversely associated with CIMT only in women. • An unexpected finding was the inverse association of visceral adipose tissue with CIMT in Burkina Faso and Ghana. [ABSTRACT FROM AUTHOR]
Published: 2021
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13. Magnitude and predictors of normal-weight central obesity– the AWI-Gen study findings

Author: Mohamed, Shukri F., Haregu, Tilahun Nigatu, Khayeka-Wandabwa, Christopher, Muthuri, Stella Kagwiria, and Kyobutungi, Catherine
Subjects: Adult, Male, Waist, slums, Informal settlements, Body Mass Index, normal-weight, 03 medical and health sciences, Sex Factors, 0302 clinical medicine, Waist–hip ratio, Prevalence, medicine, Humans, Body Weights and Measures, Obesity, 030212 general & internal medicine, informal settlement, 2. Zero hunger, business.industry, lcsh:Public aspects of medicine, 030503 health policy & services, Health Policy, Age Factors, Public Health, Environmental and Occupational Health, lcsh:RA1-1270, Middle Aged, Circumference, medicine.disease, Kenya, 3. Good health, Cross-Sectional Studies, Socioeconomic Factors, Normal weight, Central obesity, Obesity, Abdominal, Africa, Population study, Original Article, Female, 0305 other medical science, business, Body mass index, Demography
Abstract: Background: Normal-weight central obesity is associated with higher mortality than general obesity as defined by body mass index, particularly in the absence of central fat distribution. Objective: The aim of this study was to examine the magnitude and predictors of normal-weight central obesity in an urban informal settlement setting in Kenya. Methods: We used data from the AWI-Gen study, a cross-sectional survey targeting randomly selected consenting adults between the ages of 40–60 in two urban informal settlements of Nairobi between 2014 and 2016. Central obesity was determined using waist circumference, waist to hip ratio, visceral fat thickness, and subcutaneous fat thickness. General obesity was determined using body mass index (BMI). Results: About 20.0% of participants in the study had general obesity. The prevalence of central obesity as measured by waist circumference was 52.0%, by waist-to-hip ratio was 53.5%, by visceral fat thickness was 32.4% and by subcutaneous fat thickness was 49.2%. The prevalence of normal-weight central obesity in the study population was highest when measured by waist to hip ratio (38.1%) and lowest when measured by visceral fat thickness (18.1%). Factors associated with normal-weight central obesity as assesses by waist circumference were being female, of older age, and in full-time employment. Older age was associated with normal-weight central obesity as assessed by waist to hip ratio. Conclusion: The findings highlight a significant prevalence of normal-weight central obesity among adults in a poor urban setting in Kenya, pointing to women as a key target group for focused interventions. Longitudinal studies are needed to establish whether there is a link between normal-weight central obesity and mortality in such settings as has been found in other settings.
Published: 2019

14. Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million participants

Author: Cesare, Mariachiara Di, Bentham, James, Stevens, Gretchen A., Zhou, Bin, Danaei, Goodarz, Lu, Yuan, Bixby, Honor, Cowan, Melanie J., Riley, Leanne M., Hajifathalian, Kaveh, Fortunato, Lea, Taddei, C., Bennett, James E., Ikeda, Nayu, Khang, Young-Ho, Kyobutungi, Catherine, Laxmaiah, Avula, Li, Yanping, Lin, Hsien-Ho, Miranda, J. Jaime, Mostafa, Aya, Turley, Maria L., Paciorek, Christopher J., Gunter, Marc, Ezzati, Majid, Abdeen, Ziad A., Hamid, Zargar Abdul, Abu-Rmeileh, Niveen M., Acosta-Cazares, Benjamin, Adams, Robert, Aekplakorn, Wichai, Aguilar-Salinas, Carlos A., Agyemang, Charles, Ahrens, Wolfgang, Ali, Farhan, Alkerwi, Ala'a, Alvarez-Pedrerol, Mar, Aly, Eman, Amouyel, Philippe, Amuzu, Antoinette, Andersen, Lars Bo, Anderssen, Sigmund A., Andrade, Dolores S., Anjana, Ranjit Mohan, Aounallah-Skhiri, Hajer, Ariansen, Inger, Aris, Tahir, Arlappa, Nimmathota, Arveiler, Dominique, Assah, Felix K., Avdicova, Maria, Azizi, Fereidoun, Babu, Bontha V., Balakrishna, Nagalla, Bandosz, Piotr, Banegas, Jose R., Barbagallo, Carlo M., Barcelo, Alberto, Barkat, Amina, Barros, Mauro V., Bata, Iqbal, Batieha, Anwar M., Batista, Rosangela L., Baur, Louise A., Beaglehole, Robert, Romdhane, H. B., Benet, Mikhail, Bernabe-Ortiz, Antonio, Bernotine, Gailute, Bettiol, Heloisa, Bhagyalaxmi, Aroor, Bharadwaj, Sumit, Bhargava, Santosh K., Bhatti, Zaid, Bhutta, Zulfiqar A., Bi, HongSheng, Bi, Yufang, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B., Bjorkelund, Cecilia, Blake, Margaret, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boddy, Lynne M., Boehm, Bernhard O., Boeing, Heiner, Boissonnet, Carlos P., Bongard, Vanina, Bovet, Pascal, Bradbury, Mark, Bragt, Marjolijn C. E., Brajkovich, Imperia, Branca, Francesco, Breckenkamp, Juergen, Brenner, Hermann, Brewster, Lizzy M., Brian, Garry R., Bruno, Graziella, Bueno-de-Mesquita, H. B., Bugge, Anna, Burns, C., Leon, Antonio Cabrera de, Cacciottolo, Joseph, Cama, Tilema, Cameron, Christine, Camolas, Jose, Can, Gunay, Candido, Ana Paula C., Capuano, Vincenzo, Cardoso, Viviane C., Carvalho, Maria J., Casanueva, Felipe F., Casas, Juan-Pablo, Caserta, Carmelo A., Castetbon, Katia, Chamukuttan, Snehalatha, Chan, Angelique W., Chan, Queenie, Chaturvedi, Himanshu K., Chaturvedi, Nishi, Chen, Chien-Jen, Chen, Fangfang, Chen, Shuohua, Chen, Y. Z., Cheng, Ching-Yu, Chetrit, Angela, Chiolero, Arnaud, Chiou, Shu-Ti, Chirita-Emandi, Adela, Cho, Yumi, Christensen, Kaare, Chudek, Jerzy, Cifkova, Renata, Claessens, Frank, Clays, Els, Concin, Hans, Cooper, Cyrus, Cooper, Rachel, Coppinger, Tara C., Costanzo, Simona, Cottel, Dominique, Cowell, Chris, Craig, Cora L., Crujeiras, Ana B., D'Arrigo, Graziella, d'Orsi, Eleonora, Dallongeville, Jean, Damasceno, Albertino, Damsgaard, Camilla T., Dankner, Rachel, Dauchet, Luc, Backer, Guy De, Bacquer, Dirk De, Gaetano, Giovanni de, Hanauw, Stefaan De, Smedt, Delphine De, Deepa, Mohan, Deev, Alexander D., Dehghan, Abbas, Delisle, Helene, Delpeuch, Francis, Dhana, Klodian, Castelnuovo, Augusto F. Di, Dias-da-Costa, Juvenal Soares, Diaz, Alejandro, Djalalinia, Shirin, Do, Ha T. P., Dobson, Annette J., Donfrancesco, Chiara, Döring, A., Doua, Kouamelan, Drygas, Wojciech, Egbagbe, Eruke E., Eggertsen, Robert, Ekelund, Ulf, Ati, Jalila El, Elliott, Paul, Engle-Stone, Reina, Erasmus, Rajiv T., Erem, Cihangir, Eriksen, Louise, Peña, J. E. De La, Evans, Alun, Faeh, David, Fall, Caroline H., Farzadfar, Farshad, Felix-Redondo, Francisco J., Ferguson, Trevor S., Fernandez-Berges, Daniel, Ferrante, Daniel, Ferrari, Marika, Ferreccio, Catterina, Ferrieres, Jean, Finn, Joseph D., Fischer, Krista, Flores, E. M., Foeger, Bernhard, Foo, Leng Huat, Forslund, Ann-Sofie, Fortmann, Stephen P., Fouad, Heba M., Francis, Damian K., Franco, M. Do Carmo, Franco, Oscar H., Frontera, Guillermo, Fuchs, Flavio D., Fuchs, Sandra C., Fujita, Yuki, Furusawa, Takuro, Gaciong, Zbigniew, Gafencu, Mihai, Gareta, Dickman, Garnett, Sarah P., Gaspoz, Jean-Michel, Gasull, Magda, Gates, Louise, Geleijnse, Johanna M., Ghasemian, Anoosheh, Giampaoli, Simona, Gianfagna, Francesco, Giovannelli, Jonathan, Giwercman, Aleksander, Goldsmith, Rebecca A., Gross, M. G., Rivas, J. P. G., Gorbea, M. B., Gottrand, Frederic, Graff-Iversen, Sidsel, Grafnetter, Dusan, Grajda, Aneta, Grammatikopoulou, Maria G., Gregor, Ronald D., Grodzicki, Tomasz, Grontved, Anders, Gruden, Grabriella, Grujic, Vera, Gu, Dongfeng, Guan, Ong Peng, Gudnason, Vilmundur, Guerrero, Ramiro, Guessous, Idris, Guimaraes, Andre L., Gulliford, Martin C., Gunnlaugsdottir, Johanna, Guo, Xiu H., Guo, Yin, Gupta, Prakash C., Gureje, Oye, Gurzkowska, Beata, Gutierrez, Laura, Gutzwiller, Felix, Halkjaer, Jytte, Hardy, Rebecca, Kumar, Rachakulla Hari, Hayes, Alison J., He, Jiang, Hendriks, Marleen Elisabeth, Cadena, L. H., Heshmat, Ramin, Hihtaniemi, Ilpo Tapani, Ho, Sai Yin, Ho, Suzanne C., Hobbs, Michael, Hofman, Albert, Hormiga, Claudia M., Horta, Bernardo L., Houti, Leila, Htay, Thein Thein, Htet, Aung Soe, Htike, Maung Maung Than, Hu, Yonghua, Hussieni, Abdullatif S., Huu, C. N., Huybrechts, Inge, Hwalla, Nahla, Iacoviello, Licia, Iannone, Anna G., Ibrahim, Mohsen M., Ikram, M. Arfan, Irazola, Vilma E., Islam, Muhammad, Iwasaki, Masanori, Jackson, Rod T., Jacobs, Jeremy M., Jafar, Tazeen, Jamil, Kazi M., Jamrozik, Konrad, Jasienska, Grazyna, Jiang, Chao Qiang, Joffres, Michel, Johansson, Mattias, Jonas, Jost B., Jorgensen, Torben, Joshi, Pradeep, Juolevi, Anne, Jurak, Gregor, Juresa, Vesna, Kaaks, Rudolf, Kafatos, Anthony, Kalter-Leibovici, Ofra, Kapantais, Efthymios, Kasaeian, Amir, Katz, Joanne, Kaur, Prabhdeep, Kavousi, Maryam, Keil, Ulrich, Boker, Lital Keinan, Kelishadi, Roya, Kemper, Han C. G., Kengne, Andre Pascal, Kersting, Mathilde, Key, Timothy, Khader, Yousef Saleh, Khalili, Davood, Khaw, Kay-Tee H., Khouw, Ilse M. S. L., Kiechl, Stefan, Killewo, Japhet, Kim, Jeongseon, Kiyohara, Yutaka, Klimont, Jeannette, Kolle, Elin, Kolsteren, Patrick, Korrovits, Paul, Koskinen, Seppo, Kouda, Katsuyasu, Koziel, Slawomir, Kratzer, Wolfgang, Krokstad, Steinar, Kromhout, Daan, Kruger, Herculina S., Kula, Krzysztof, Kulaga, Zbigniew, Kumar, R. Krishna, Kusuma, Yadlapalli S., Kuulasmaa, Kari, Laamiri, Fatima Zahra, Laatikainen, Tiina, Lachat, Carl, Laid, Youcef, Lam, Tai Hing, Landrove, Orlando, Lanska, Vera, Lappas, Georg, Laugsand, Lars E., Bao, K. Le Nguyen, Le, Tuyen D., Leclercq, Catherine, Lee, Jeannette, Lehtimaki, Terho, Lekhraj, Rampal, Leon-Munoz, Luz M., Lim, Wei-Yen, Lima-Costa, M. F., Lin, Xu, Linneberg, Allan, Lissner, Lauren, Litwin, Mieczyslaw, Liu, Jing, Lorbeer, Roberto, Lotufo, Paulo A., Lozano, J. E., Luksiene, Dalia, Lundqvist, Annamari, Lunet, Nuno, Lytsy, Per, Ma, Guansheng, Machi, Suka, Maggi, Stefania, Magliano, Dianna J., Makdisse, Marcia, Malekzadeh, Reza, Malhotra, Rahul, Rao, Kodavanti Mallikharjuna, Manios, Yannis, Mann, Jim I., Manzato, Enzo, Margozzini, Paula, Markey, Oonagh, Marques-Vidal, Pedro, Marrugat, Jaume, Martin-Prevel, Yves, Martorell, Reynaldo, Masoodi, Shariq R., Matsha, Tandi E., Mazur, Artur, Mbanya, Jean Claude N., McFarlane, Shelly R., McGarvey, Stephen T., McKee, Martin, McLachlan, Stela, McLean, Rachael M., McNulty, Breige A., Yusof, S. Md, Mediene-Benchekor, Sounnia, Meirhaeghe, Aline, Meisinger, Christa, Mendes, Larissa L., Menezes, Ana Maria B., Mensink, Gert B. M., Meshram, Indrapal I., Metspalu, Andres, Mi, Jie, Michaelsen, Kim F., Mikkel, Kairit, Miller, Jody C., Miquel, J. F., Misigoj-Durakovic, Marjeta, Mohamed, Mostafa K., Mohammad, Kazem, Mohammadifard, Noushin, Mohan, Viswanathan, Yusoff, Muhammad Fadhli Mohd, Molbo, Drude, Moller, Niels C., Molnar, Denes, Mondo, Charles K., Monterrubio, Eric A., Monyeki, Kotsedi Daniel K., Moreira, Leila B., Morejon, Alain, Moreno, Luis A., Morgan, Karen, Mortensen, Erik Lykke, Moschonis, George, Mossakowska, Malgorzata, Mota, Jorge, Motlagh, Mohammad Esmaeel, Motta, Jorge, Mu, Thet Thet, Muiesan, Maria Lorenza, Mueller-Nurasyid, Martina, Murphy, Neil, Mursu, Jaakko, Murtagh, Elaine M., Musa, Kamarul Imran, Musil, Vera, Nagel, Gabriele, Nakamura, Harunobu, Namesna, Jana, Nang, E. E. K., Nangia, Vinay B., Nankap, Martin, Narake, Sameer, Navarrete-Muñoz, E. 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T., Pigeot, Iris, Pikhart, Hynek, Pilav, Aida, Pilotto, Lorenza, Pistelli, Francesco, Pitakaka, Freda, Piwonska, Aleksandra, Piwonski, J., Plans-Rubio, Pedro, Poh, Bee Koon, Porta, Miquel, Portegies, Marileen L. P., Poulimeneas, Dimitrios, Pradeepa, Rajendra, Prashant, Mathur, Price, Jacqueline F., Puiu, Maria, Punab, Margus, Qasrawi, Radwan F., Qorbani, Mostafa, Bao, T. Q., Radic, Ivana, Radisauskas, Ricardas, Rahman, Mahmudur, Raitakari, Olli, Raj, Manu, Rao, Sudha Ramachandra, Ramachandran, Ambady, Ramke, Jacqueline, Ramos, Rafel, Rampal, Sanjay, Rasmussen, Finn, Redon, Josep, Reganit, Paul Ferdinand M., Ribeiro, Robespierre, Riboli, Elio, Rigo, Fernando, Wit, Tobias Floris Rinke de, Ritti-Dias, Raphael M., Rivera, Juan A., Robinson, Sian M., Robitaille, Cynthia, Rodriguez-Artalejo, Fernando, Rodriguez-Perez, Maria del Cristo, Rodriguez-Villamizar, Laura A., Rojas-Martinez, Rosalba, Rojroongwasinkul, Nipa, Romaguera, Dora, Ronkainen, Kimmo, Rosengren, Annika, Rouse, Ian, Rubinstein, Adolfo, Ruhli, Frank J., Rui, Ornelas, Ruiz-Betancourt, B. S., Horimoto, Andrea R. V. Russo, Rutkowski, Marcin, Sabanayagam, Charumathi, Sachdev, Harshpal S., Saidi, Olfa, Salanave, Benoit, Martinez, E. 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H., Trivedi, Atul, Tshepo, Lechaba, Tulloch-Reid, Marshall K., Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Tynelius, Per, Tzotzas, Themistoklis, Tzourio, Christophe, Ueda, Peter, Ukoli, Flora A. M., Ulmer, Hanno, Unal, Belgin, Valdivia, Gonzalo, Vale, Susana, Valvi, Damaskini, Schouw, Yvonne T. van der, Herck, Koen Van, Minh, H. Van, Valkengoed, Irene G. M. van, Vanderschueren, Dirk, Vanuzzo, Diego, Vatten, Lars, Vega, Tomas, Velasquez-Melendez, Gustavo, Veronesi, Giovanni, Verschuren, W. M. Monique, Viegi, Giovanni, Viet, Lucie, Viikari-Juntura, Eira, Vineis, Paolo, Vioque, Jesus, Virtanen, Jyrki K., Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vollenweider, Peter, Voutilainen, Sari, Vrijheid, Martine, Wade, Alisha N., Wagner, A. Fink, Walton, Janette, Mohamud, Wan Nazaimoon Wan, Wang, Ming-Dong, Wang, Qian, Wang, Ya Xing, Wannamethee, S. Goya, Wareham, Nicholas, Weerasekera, Deepa, Whincup, Peter H., Widhalm, Kurt, Widyahening, Indah S., Wiecek, Andrzej, Wilks, Rainford J., Willeit, Johann, Wojtyniak, Bogdan, Wong, Jyh Eiin, Wong, Tien Yin, Woo, Jean, Woodward, Mark, Wu, Frederick C., Wu, Jianfeng, Wu, Shou Ling, Xu, Haiquan, Xu, Liang, Yamborisut, Uruwan, Yan, Weili, Yang, Xiaoguang, Yardim, Nazan, Ye, Xingwang, Yiallouros, Panayiotis K., Yoshihara, Akihiro, You, Qi Sheng, Younger-Coleman, Novie O., Yusoff, Ahmad F., Zainuddin, Ahmad A., Zambon, Sabina, Zdrojewski, Tomasz, Zeng, Yi, Zhao, Dong, Zhao, Wenhua, Zheng, Yingfeng, Zhou, Maigeng, Zhu, Dan, Zimmermann, Esther, Cisneros, Julio Zuniga, NCD Risk Factor Collaboration (NCD-RisC), Di Cesare, M., Bentham, J., Stevens, G.A., Zhou, B., Danaei, G., Lu, Y., Bixby, H., Cowan, M.J., Riley, L.M., Hajifathalian, K., Fortunato, L., Taddei, C., Bennett, J.E., Ikeda, N., Khang, Y.H., Kyobutungi, C., Laxmaiah, A., Li, Y., Lin, H.H., Miranda, J.J., Mostafa, A., Turley, M.L., 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Subjects: Male, Obesidad, CHILDREN, Salud, Review, países desarrollados, Global Health, Body Mass Index, Body mass index, population study, 0302 clinical medicine, Models, Factores de riesgo cardiovascular, Medicine, body mass index, underweight, overweight, obesity, Young adult, Human Nutrition & Health, education.field_of_study, Humane Voeding & Gezondheid, General Medicine, ASSOCIATION, 11 Medical And Health Sciences, adulto, predicción, adulto joven, CARDIOVASCULAR-DISEASE, thinness/epidemiology, NONCOMMUNICABLE DISEASES, NCD Risk Factor Collaboration (NCD-RisC), Enfermedades cardiovasculares, Developed country, teorema de Bayes, Medical sciences, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Thinness, Humans, education, Developing Countries, obesidad, VLAG, Science & Technology, Models, Statistical, CAUSE-SPECIFIC MORTALITY, Bayes Theorem, medicine.disease, QP, Obesity, adult body-mass, Indice de masa corporal (IMC), RISK-FACTORS, Adolescent, Adult, Developed Countries, Female, Forecasting, Obesity/epidemiology, Prevalence, Thinness/epidemiology, Young Adult, RA, Body mass index, Demography, Meta-Analysis, Gerontology, Settore MED/09 - Medicina Interna, Nutrition and Disease, humanos, adolescente, Overweight, países en desarrollo, Voeding en Ziekte, Medicine and Health Sciences, Global health, 030212 general & internal medicine, Non-U.S. Gov't, Medicine (all), Research Support, Non-U.S. Gov't, prevalencia, Public Health, Global Health, Social Medicine and Epidemiology, Statistical, Underweight, medicine.symptom, pooled analysis, Life Sciences & Biomedicine, obesity/*epidemiology, Population, 030209 endocrinology & metabolism, Research Support, Medicine, General & Internal, EPIDEMIC, General & Internal Medicine, Journal Article, Life Science, ddc:610, Obesidad morbida, OBESITY PREVENTION, OVERWEIGHT, business.industry, índice de masa corporal, COHORTS, purl.org/pe-repo/ocde/ford#3.02.00 [https], Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Ciencias socio biomédicas, business, delgadez
Abstract: Copyright © NCD Risk Factor Collaboration. Open Access article distributed under the terms of CC BY., Background: Underweight and severe and morbid obesity are associated with highly elevated risks of adverse health outcomes. We estimated trends in mean body-mass index (BMI), which characterises its population distribution, and in the prevalences of a complete set of BMI categories for adults in all countries. Methods: We analysed, with use of a consistent protocol, population-based studies that had measured height and weight in adults aged 18 years and older. We applied a Bayesian hierarchical model to these data to estimate trends from 1975 to 2014 in mean BMI and in the prevalences of BMI categories (, Wellcome Trust, Grand Challenges Canada
Published: 2016

15. Measurement of overweight and obesity an urban slum setting in sub-Saharan Africa: a comparison of four anthropometric indices.

Author: Haregu, Tilahun Nigatu, Oti, Samuel, Egondi, Thaddaeus, and Kyobutungi, Catherine
Subjects: OBESITY, ANTHROPOMETRY, HUMAN body composition, CARDIOVASCULAR diseases, SLUMS, BIOMARKERS, DIAGNOSIS
Abstract: Background: As a result of both genetic and environmental factors, the body composition and topography of African populations are presumed to be different from western populations. Accordingly, globally accepted anthropometric markers may perform differently in African populations. In the era of rapid emergence of cardio-vascular diseases in sub-Saharan Africa, evidence about the performance of these markers in African settings is essential. The aim of this study was to investigate the inter-relationships among the four main anthropometric indices in measuring overweight and obesity in an urban poor African setting. Methods: Data from a cardiovascular disease risk factor assessment study in urban slums of Nairobi were analyzed. In the major study, data were collected from 5190 study participants. We considered four anthropometric markers of overweight and obesity: Body Mass Index, Waist Circumference, Waist to Hip Ratio, and Waist to Height Ratio. Pairwise correlations and kappa statistics were used to assess the relationship and agreement among these markers, respectively. Discordances between the indices were also analyzed. Results: The weighted prevalence of above normal body composition was 21.6% by body mass index, 28.9% by waist circumference, 45.5% by waist to hip ratio, and 38.9% by waist to height ratio. The overall inter-index correlation was +0.44. Waist to hip ratio generally had lower correlation with the other anthropometric indices. High level of discordance exists between body mass index and waist to hip ratio. Combining the four indices shows that 791 (16.1%) respondents had above normal body composition in all four indices. Waist circumference better predicted hypertension and hyperglycemia while waist to height ratio better predicted hypercholesterolemia. Conclusions: There exists a moderate level of correlation and a remarkable level of discordance among the four anthropometric indices with regard to the ascertainment of abnormal body composition in an urban slum setting in Africa. Waist circumference is a better predictor of cardio-metabolic risk. [ABSTRACT FROM AUTHOR]
Published: 2016
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16. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

Author: NCD Risk Factor Collaboration (NCD-RisC), Iurilli, Maria LC, Zhou, Bin, Bennett, James E, Carrillo-Larco, Rodrigo M, Sophiea, Marisa K, Rodriguez-Martinez, Andrea, Bixby, Honor, Solomon, Bethlehem D, Taddei, Cristina, Danaei, Goodarz, Di Cesare, Mariachiara, Stevens, Gretchen A, Riley, Leanne M, Savin, Stefan, Cowan, Melanie J, Bovet, Pascal, Damasceno, Albertino, Chirita-Emandi, Adela, Hayes, Alison J, Ikeda, Nayu, Jackson, Rod T, Khang, Young-Ho, Laxmaiah, Avula, Liu, Jing, Miranda, J Jaime, Saidi, Olfa, Sebert, Sylvain, Sorić, Maroje, Starc, Gregor, Gregg, Edward W, Abarca-Gómez, Leandra, Abdeen, Ziad A, Abdrakhmanova, Shynar, Ghaffar, Suhaila Abdul, Rahim, Hanan F Abdul, Abu-Rmeileh, Niveen M, Garba, Jamila Abubakar, Acosta-Cazares, Benjamin, Adams, Robert J, Aekplakorn, Wichai, Afsana, Kaosar, Afzal, Shoaib, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Aguilar-Salinas, Carlos A, Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmad, Noor Ani, Ahmadi, Ali, Ahmadi, Naser, Ahmed, 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Subjects: 2. Zero hunger, obesity, BMI, Epidemiology and Global Health, underweight, None, 1. No poverty, 3. Good health, Research Article
Abstract: Funder: Wellcome Trust; FundRef: http://dx.doi.org/10.13039/100004440, Funder: Medical Research Council; FundRef: http://dx.doi.org/10.13039/501100000265, From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions.

17. Sociodemographic and behavioural factors associated with body mass index among men and women in Nairobi slums: AWI-Gen Project.

Author: Asiki, Gershim, Mohamed, Shukri F., Wambui, David, Wainana, Caroline, Muthuri, Stella, Ramsay, Michèle, and Kyobutungi, Catherine
Subjects: BEHAVIORAL assessment, DIAGNOSIS of diabetes, POVERTY areas, FOOD habits, METROPOLITAN areas, OBESITY, RESEARCH funding, SMOKING, MULTIPLE regression analysis, SOCIOECONOMIC factors, BODY mass index, CROSS-sectional method, SEDENTARY lifestyles, DESCRIPTIVE statistics
Abstract: Background: Body mass index (BMI) is rising globally with a faster increase in urban areas in low- and middle-income countries. It is critical to identify modifiable risk factors for BMI to prevent the occurrence of associated health consequences. Objective: To investigate socio-demographic, behavioural and biological factors associated with BMI in Nairobi slums. Methods: In 2014-2015, a cross sectional study of men and women aged 40–60 years in Nairobi slums (Korogocho and Viwandani) was conducted. Data were collected on socio-demographic, behavioural and biological characteristics. Mean BMI, overweight and obesity were computed. Hierarchical multiple linear regression analysis was conducted separately for men and women to explore factors associated with BMI. Results: In total, 1942 study participants (54.4%, women) with a mean age (SD) of 48.3 (5.3) years and 48.8(5.6) years for women and men respectively were recruited. Mean BMI was higher among women than men (27.6 versus 22.8; p < 0.001). More women were overweight (30.9% versus 19.6%; p < 0.001) and obese (32.1% versus 5.1%; p < 0.001) than men. Among men, BMI was independently associated with wealth index, bread consumption and self-reported diabetes and was negatively associated with current tobacco smoking, HIV and TB infections. Among women, BMI was independently associated with wealth, current non-problematic drinking, and sedentary time, but was lower among other ethnicities compared to Kikuyu, among current smokers, women with longer sleep, and those with HIV infection and tuberculosis. Wealth index contributed the most variance in BMI among women and men (10.4%, 7.5%, respectively), but behavioural factors (7.4%) among men and biological factors (6.5%) among women accounted for most of the additional BMI variance. Conclusions: Adults aged 40–60 years in the urban slums of Nairobi have a high BMI associated with wealth. Bread consumption by men and sedentary life among women are the main risky behaviours that need urgent targeted interventions. [ABSTRACT FROM AUTHOR]
Published: 2018
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18. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

Author: Maryam Sharafkhah, Emanuel Zitt, Majid Ezzati, Luxia Zhang, Young-Ho Khang, Ellina Rakhimova, Kairit Mikkel, Tiina Vlasoff, Eruke E. Egbagbe, Sidsel Graff-Iversen, Ilona Nenko, Magdalena Klimek, Mathilde Savy, Sanjib Kumar Sharma, Alfonso Siani, Luís Lopes, Vanina Bongard, Gregor Jurak, Jacqueline F. Price, Christina-Paulina Lambrinou, Maria Lc Iurilli, Rainford J. Wilks, Bontha V. Babu, Fereidoun Azizi, Harunobu Nakamura, Marialaura Bonaccio, Angela Döring, Zhenyu Zhang, Naser Ahmadi, Jolanta Słowikowska-Hilczer, Ana Paula Carlos Cândido, Clive Osmond, Thirunavukkarasu Sathish, Robert J. Adams, Themistoklis Tzotzas, Reina Engle-Stone, Atul Trivedi, Shoichiro Tsugane, Niels Møller, Jorge Bezerra, Dénes Molnár, Muhammad Fadhli Mohd Yusoff, Badreya Al-Lahou, J. Jaime Miranda, Bahram Mohajer, Sigmund A. Anderssen, Lital Keinan Boker, Eero Kajantie, Martin Gulliford, Maties Torrent, Sumit Bharadwaj, Toshiharu Ninomiya, Zbigniew Gaciong, Nayu Ikeda, Li Juan Wu, Adrian Richter, Licia Iacoviello, Marc J. Gunter, Wenbin Wei, Norsyamlina Che Abdul Rahim, Eman Aly, Ambady Ramachandran, Nils Lehmann, Soile E. Puhakka, Giovanni Veronesi, Hongsheng Bi, Eiji Oda, Jia Li Duan, Per Tynelius, José María Huerta, Janne Schurmann Tolstrup, Rodrigo M. Carrillo-Larco, Rosangela Fernandes Lucena Batista, Victoria E Soto-Rojas, Hanno Ulmer, Shukri F. Mohamed, Anthony Kafatos, Suyeon Park, Mohsen Ibrahim, Hamed Pouraram, Bin Zhou, May Soe Aung, Lars Bo Andersen, Erfan Ghasemi, René Charles Sylva, Himanshu K. Chaturvedi, Luc Dauchet, Ahmad Ali Zainuddin, Angela Chetrit, Dan Zhu, Valérie Deschamps, Ko Ko Zaw, Peter Vollenweider, Tomas Vega, Yves Martin-Prével, Mahfuzar Rahman, Dorja Vočanec, Roman Topor-Madry, Vinay Nangia, Herculina S. 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Pérez, Ilse Khouw, Manoli Garcia-de-la-Hera, Dong Wook Shin, Genc Burazeri, Ausra Petrauskiene, Charles Sossa Jérome, Kenisha Russell Jonsson, José Boggia, Daniela Galeone, Alice Bonilla-Vargas, Han Cg Kemper, Rahman Shiri, Stefaan Demarest, Else Karin Grøholt, San-Lin You, Adelheid Weber, Juha Auvinen, Aida Pilav, Sibel Gogen, Suzanne N Morin, Wan Mohamad Wan Bebakar, Viviane Cunha Cardoso, Kavumpurathu Raman Thankappan, Hana Zamrazilová, Frank Claessens, Karien Stronks, Helen Gonçalves, Tahir Aris, Luis Revilla, Sérgio Viana Peixoto, Zhamilya Battakova, Jing Liu, Eliza Markidou Ioannidou, Leticia Hernandez Cadena, Priscilla Duboz, Sandjaja, Tiina Laatikainen, Rafel Ramos, Sareh Eghtesad, Judith Simons, Orn Olafsson, E. Shyong Tai, Louise A. Baur, Nihal Thomas, Aung Soe Htet, Bente Sparboe-Nilsen, Paul Elliott, Soon-Woo Park, Angel R. Gonzalez, Ying-Wei Wang, Rob M. van Dam, Ryutaro Ohtsuka, Ludmila Sevcikova, Suhaila Abdul Ghaffar, Lynell V Maniego, Fariborz Mansour-Ghanaei, Maria Dorobantu, Giovanni Viegi, Xiaoguang Yang, Honor Bixby, Prakash C. Gupta, Ofra Kalter-Leibovici, Eugene Sobngwi, Ričardas Radišauskas, Jurate Medzioniene, Roy A Wong-McClure, Kim F. Michaelsen, Antonia Trichopoulou, Tania Tello, Francesco Branca, Johanna Gunnlaugsdottir, Els Clays, Wei-Yen Lim, Suzanne C. Ho, Toomas Veidebaum, Rebecca Goldsmith, Margot González-León, Matthias Nauck, Alibek Mereke, Marta Buoncristiano, Jakob Tarp, Rosalba Rojas-Martínez, Maya Tanrygulyyeva, Reza Malekzadeh, Abdonas Tamosiunas, Dimitrios Poulimeneas, Pedro Ordunez, Isabelle Herter-Aeberli, Khanh Le Nguyen Bao, Anne Juolevi, Vassilis Zafiropulos, Emanuela Gualdi-Russo, Jordi Sunyer, Manu Raj, Chaoqiang Jiang, Sofia Malyutina, Efthymios Kapantais, Maria Lazo-Porras, Maung Maung Than Htike, Michael Hobbs, Ranjit Mohan Anjana, Merike Liivak, Johan G. Eriksson, Margarita Samoutian, Andreia N. Pizarro, Mohammed Rasoul Tarawneh, Jean Woo, Kaspar Staub, Maria Teresa Menzano, Mojtaba Farjam, Adroaldo Cesar Araujo Gaya, Mohammad El-khateeb, Zulfiqar A Bhutta, Mukharram M. Bikbov, Hsien-Ho Lin, Oscar Noboa, Thomas Waldhör, Garry Brian, Simona Costanzo, Frank Tanser, Nor Azwany Yaacob, Michelle Cilia, Ivo Rakovac, Bill Stavreski, Ioannis Pagkalos, Ivan Pećin, Carlo M. Barbagallo, Abla M. Sibai, Yuna He, Matsuda Fumihiko, Bharathi Viswanathan, Ali Reza Safarpour, Wei Cheng Lo, Abdullatif Husseini, Jiang He, Liv Elin Torheim, Nipa Rojroongwasinkul, Aicha Soumare, Astrid Petersmann, Tomasz Grodzicki, Davide Noto, Panayiotis K. Yiallouros, Kelias P. Msyamboza, William R. Tebar, Yingfeng Zheng, Eha Nurk, Bhawesh Koirala, Ana Jelakovic, Suhad Bahijri, Freja B Kampmann, Qi Sheng You, Marika Ferrari, María-Elena González-Villalpando, Aline Wagner, Olfa Saidi, Anwar Batieha, Eduardo Capuano, Coimbatore Subramaniam Shanthirani, Dong Wook Kim, Albina A Fakhretdinova, Tom Wilsgaard, Maria Avdicova, Moesijanti Soekatri, Chiara Donfrancesco, Salim Mohanna, Paola Russo, Uruwan Yamborisut, Rafael dos Santos Henrique, Martin Nankap, Allan Linneberg, Khairil Si-Ramlee, Kirsten Mehlig, Christina Mavrogianni, Raluca Pop, Lèlita Santos, Graziella Bruno, Valentina Peterkova, Iná S. Santos, Georg Lappas, Alberto Palloni, Malay K. Mridha, Andrzej Pajak, Marta García-Solano, Stefaan De Henauw, Daniel Ferrante, Rute Santos, Anders Grøntved, Lucjan Szponar, Mihaela Vladulescu, Chien-An Sun, Jan A. Staessen, Paula Duarte de Oliveira, Norazizah Ibrahim Wong, Maria Nordendahl, Elaine M. Dennison, Jeonghee Lee, Diego Salmerón, Ida Maria Schmidt, Gao Pei, Noushin Mohammadifard, Igor Spiroski, Fernando Rodríguez-Artalejo, Xu Ma, Elin Pettersen Sørgjerd, Valéria Regecová, Cláudia S. Minderico, Johanna A. Otero, Jamila Abubakar Garba, Vesselka Duleva, Rui Ornelas, Ilpo Huhtaniemi, Cesar G. Victora, Lijuan Liu, Rody G. Sy, Mahmood Moosazadeh, Ali Ahmadi, Antonio Pedro Graça, Natalia Nowak-Szczepanska, Miao Li Chee, Michael Sjöström, Charles Agyemang, Shiqi Zhen, Xiu-Hua Guo, Pawel Kurjata, Jardena J. Puder, Mehrdad Azmin, Neil Murphy, Kaosar Afsana, Alireza Sadjadi, Johanna M. Geleijnse, Prashant Mathur, Elysée Claude Bika Lele, Raphael Mendes Ritti-Dias, Yannis Manios, Majid Shirani, Rosemary B. Duda, Liis Nelis, Jurate Klumbiene, Zhengming Chen, Wichai Aekplakorn, Alun Evans, Andrzej Wiecek, Lars Lind, Denise Eldemire-Shearer, Bernardo L. Horta, Macia Enguerran, Seyed Rasoul Zakavi, Daniel Fernández-Bergés, Kumiko Ohara, Ursula Kiechl-Kohlendorfer, Hermann Brenner, Przemyslaw Slusarczyk, Espen Bjertness, Jutta Stieber, Augusto Di Castelnuovo, Joel G. R. Roy, Aryeh D. Stein, Ruth Frikke-Schmidt, Vera Musil, Amaneh Shayanrad, Marcel Goldberg, Ramon O. Jimenez, Mohammad Reza Fattahi, Jolanda Hyska, Amir Houshang Mehrparvar, Elin Kolle, Mohamed Bamoshmoosh, Michelle Holdsworth, Felipe F. Casanueva, Børge G. Nordestgaard, Niels Wedderkopp, Eva Corpeleijn, Elias F. Gudmundsson, Antonio Mistretta, Daniel Lemogoum, Larissa Pruner Marques, Slavica Sović, Olli T. Raitakari, Marco Aurélio Peres, Alexandra Cucu, Gregorio Varela-Moreiras, Janine Clarke, Andrea Gazzinelli, Mieczysław Litwin, Sara Schramm, Xenophon Theodoridis, Harshpal Singh Sachdev, Mohammad Reza Mirjalili, Dimitrios Papandreou, Peter T. Katzmarzyk, Benjamin Acosta-Cazares, Ben Schöttker, Prabhdeep Kaur, Norlaila Mustafa, Shariq Rashid Masoodi, Sadaf G. Sepanlou, Adolfo Rubinstein, Francis Delpeuch, Julianne Williams, Abbas Dehghan, Leanne M. Riley, Heloisa Bettiol, Gabriele Nagel, Ellisiv B. Mathiesen, Ekaterina Stoyanova, Alisha N. Wade, Zhamyila Usupova, Arnaud Chiolero, Oonagh Markey, Jacqueline Ramke, Elena Bogova, Niveen M E Abu-Rmeileh, Nguyen D Nguyen, Tomasz Zdrojewski, Marjo-Riitta Järvelin, Jose Sanchez-Abanto, Rômulo Araújo Fernandes, Lourdes Ribas-Barba, Nalan Uysal, Mohamad Hasnan Ahmad, Krista Fischer, Maria Wany Louzada Strufaldi, Ramiro Guerrero, Farnam Mohebi, Tran Quoc Bao, Flávio Danni Fuchs, Salim Berkinbayev, Enisa Kujundzic, Sari Voutilainen, Farzad Hadaegh, Robert Lundqvist, Saeid Safiri, Iraj Mohebbi, George Luiz Lins Machado-Coelho, Annette Peters, Gonzalo Valdivia, Magdalena Korzycka, Rajiv T Erasmus, Masanori Iwasaki, Charmaine A. Duante, Sheikh Mohammed Shariful Islam, Quang Ngoc La, Ricky Eddie, Petra Rust, Daniela Rodrigues, Dirk De Bacquer, Karen Sparrenberger, Agneta Sjöberg, Thet Thet Mu, Katarzyna Dereń, Cora L. Craig, Jorge Motta, Janina Petkeviciene, Boyd Swinburn, Paibul Suriyawongpaisal, Visnja Djordjic, Ramón Alberto Rascón-Pacheco, Pradeep Joshi, Daan Kromhout, Marius B. Bjertness, Stefano Marventano, Juel Jarani, Alireza Khosravi, Eva Martos, David De Ridder, Lizzy M. Brewster, Nico Dragano, Liam Smeeth, Kenji Shibuya, Emma Ruiz Moreno, Hashem Jaddou, Grzegorz Sobek, Dimitrios Trichopoulos, Marvin Cervantes-Loaiza, Abu Am Hanif, Elaine M. Murtagh, Carlos A. Aguilar-Salinas, Graziella D'Arrigo, Kyungwon Oh, Heiner Boeing, Regina Heidinger-Felso, André Luiz Sena Guimarães, Balkish M. Naidu, Avula Laxmaiah, Ana M. B. Menezes, Marie Eliasen, Francesco Pistelli, Yuan He, Dusko Bjelica, José A. Casajús, Guang Ning, Lutgart Braeckman, Dirk Vanderschueren, Jochanan Stessman, Ivana Radic, Yi Zeng, Hans Concin, Damaskini Valvi, Sari Hantunen, Catherine Kyobutungi, Diego Augusto Santos Silva, Wenhua Zhao, Sok King Ong, Anne W. Taylor, Iraj Nabipour, Justyna Godos, Cyrus Cooper, Mattias Johansson, Samuel C. Dumith, Magdalena Muc, Sabine Schipf, Idowu O Senbanjo, Jim Mann, Rajaa Al-Raddadi, Yih Chung Tham, Kay-Tee Khaw, Joseph Cacciottolo, Ana Henriques, Sahar Saeedi Moghaddam, Reza Mohammadpourhodki, Bernhard O. Boehm, Songhomitra Panda-Jonas, Iveta Pudule, Elisabete Ramos, Lacramioara Aurelia Brinduse, Paul H. Lee, Terence W O'Neill, Javad Aghazadeh-Attari, Margus Punab, Bojan Jelaković, Camilla T. Damsgaard, Takafumi Ishida, Ekaterina Chikova-Iscener, Mirjam M. Heinen, Tazeen H. Jafar, Semánová Csilla, Constance Schultsz, Santiago F. Gomez, Raija Korpelainen, Edward W. Gregg, Laura Gutierrez, Pierre Traissac, Victor M. Herrera, Aristides M. Machado-Rodrigues, Fatemeh Malekzadeh, Shouling Wu, Jennifer L. Baker, Clicerio González-Villalpando, Eleonora d'Orsi, Irene G. M. van Valkengoed, Anna Fijałkowska, Wen-Harn Pan, Gregor Starc, Meghnath Dhimal, Murat Topbaş, George Moschonis, Robert Eggertsen, Abdullah Alkandari, Quang Ngoc Nguyen, Janette Walton, Elnaz Faramarzi, Saeed Dastgiri, Lien Braeckevelt, Nasheeta Peer, Radka Taxová Braunerová, Mohamed M. Ali, Steiner Krokstad, Harald Geiger, Morteza Shamshirgaran, Lela Shengelia, María Ángeles Dal Re Saavedra, Silvana Donoso, Khem Bahadur Karki, Timothy J. Key, Maria G. Grammatikopoulou, Susana Vale, Felix K. Assah, Juan A Rivera, Peter H. Whincup, Oana-Florentina Gheorghe-Fronea, Cassiano Ricardo Rech, Paul Ferdinand M. Reganit, Rachakulla Hari Kumar, Jaakko Mursu, Luis A. Moreno, Glen Gironella, Jelena Kos, Tilema Cama, Haakon E. Meyer, Jun Ma, Raphael E. Arku, Ziad Abdeen, Dianna J. Magliano, Jitendra Jonnagaddala, Konstantinos Gkiouras, Paola Nardone, Alberto Barceló, Tomi-Pekka Tuomainen, Francesco Gianfagna, Stefania Maggi, Mohammad Hossein Somi, Behrooz Hamzeh, Miquel Porta, Vesna Jureša, Alexander D. Deev, David Faeh, Antonio Bernabe-Ortiz, Sirkka Keinänen-Kiukaanniemi, Ian Hambleton, Stefan Savin, Andre Pascal Kengne, R. Krishna Kumar, Kurt Widhalm, Marco M Ferrario, Parisa Amiri, Anjani Kumar Jha, Thamara Hubler Figueiró, Jana Kratenova, Claudia M. Hormiga, Maria Tsigga, Zivka Dika, Indrapal I. Meshram, Ei Ei K. Nang, Ian Rouse, Rusidah Selamat, Paul Korrovits, Grethe S. Tell, Julie Taylor, Anabela Mota-Pinto, Paolo Vineis, Kotsedi D Monyeki, Khuong Quynh Long, Frank J Rühli, Shelly R. McFarlane, Sara Santos Sanz, Edyta Łuszczki, Maria G. Stathopoulou, Tara Coppinger, Karin De Ridder, Lucie Viet, Anna Bugge, Mehdi Yaseri, Safiah Md Yusof, Sandra C. Fuchs, Muhammad Islam, Irfan Nuhoglu, Rui Providência, Bernard Maire, Leandra Abarca-Gómez, Sinead Brophy, Maria Ruiz-Castell, Daniela Pierannunzio, Cristina Taddei, Gowri Mahasampath, Gustavo Velasquez-Melendez, Hanna Tolonen, Sudhir Kowlessur, Bagher Larijani, Laura Torres-Collado, Susi Kriemler, Ali Akbar Shayesteh, Cynthia Robitaille, Jorge Escobedo-de la Peña, Yufang Bi, Chinh Nguyen Huu, Line Tang Møllehave, Vincent Jr DeGennaro, Noor Ani Ahmad, Anar Dushpanova, Agustinus Soemantri, Susana Sans, Ionela Pascanu, Gwenaëlle Le Coroller, Inger Ariansen, Kodanda R Kanala, Gert B. M. Mensink, Abhijit Sen, Sergej M. Ostojic, Hanan F. Abdul Rahim, Hélène Delisle, Francisco J. Félix-Redondo, Yadlapalli S. Kusuma, Michael Knoflach, Moein Yoosefi, Tanja G. M. Vrijkotte, Wolfgang Ahrens, Osvaldo Santos, Bethlehem D. Solomon, Erik Lykke Mortensen, Nikhil D. Patel, Reynaldo Martorell, Ching-Yu Cheng, Stine Schramm, Hana Shimizu-Furusawa, Jacek Jóźwiak, Radwan Qasrawi, Herman Borghs, Zhanna Kalmatayeva, Heidi Klakk, Akram Pourshams, Naomi S. Levitt, Son Thai Pham, Simona Giampaoli, Dong Zhao, Indah Suci Widyahening, Merete Osler, Paula Margozzini, Silvia Bel-Serrat, Dora Romaguera, Monira Alarouj, Winsome R. Parnell, Marloes Cardol, Giota Touloumi, Janice Luisa Lukrafka, Adela Chirita-Emandi, Maryam Kavousi, Sanja Musić Milanović, Jean-Michel Gaspoz, Jalila El Ati, Sauli Herrala, Liang Xu, Pilar Guallar-Castillón, Bee Koon Poh, Luis Serra-Majem, Jonathan E. Shaw, Belong Cho, Daphne Mirkopoulou, Salvador Villalpando, Yuki Fujita, Tiffany K. Gill, Nish Chaturvedi, Erkin M. Mirrakhimov, Günay Can, Mark Woodward, Esther Lopez-Garcia, Mauro Virgílio Gomes de Barros, Ahmed A. Madar, Shoaib Afzal, Melanie J. Cowan, Gareth Stratton, Eduardo Salazar Martinez, Sameer Narake, Norie Sawada, Deepak Amarapurkar, Deepa Weerasekera, Diana A. 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Chan School of Public Health, Middlesex University [London], Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Montpellier Interdisciplinary center on Sustainable Agri-food systems (Social and nutritional sciences) (UMR MoISA), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire (IGE-PCV), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Wellcome TrustEuropean Commission, Clinical Developmental Psychology, APH - Mental Health, Sociology, The Social Context of Aging (SoCA), Nutrition and Health, Iurilli, Maria LC [0000-0003-0409-1635], Zhou, Bin [0000-0002-1741-8628], Ezzati, Majid [0000-0002-2109-8081], Apollo - University of Cambridge Repository, Epidemiology and Data Science, APH - Aging & Later Life, APH - Societal Participation & Health, Public and occupational health, APH - Health Behaviors & Chronic Diseases, VU University medical center, APH 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Ltd, Orebro University, University of London, Universitas Indonesia, Institute of Food and Nutrition Development of Ministry of Agriculture and Rural Affairs, Children’s Hospital of Fudan University, University of Cyprus, Niigata University, International Medical University, Iran University of Medical Sciences, Center for Diabetes and Endocrine Care, Peking University First Hospital, Jiangsu Provincial Center for Disease Control and Prevention, Sun Yat-sen University, West Kazakhstan Medical University, Inner Mongolia Medical University, University of Ghana, Maria Lc Iurilli , Bin Zhou , James E Bennett , Rodrigo M Carrillo-Larco , Marisa K Sophiea , Andrea Rodriguez-Martinez , Honor Bixby , Bethlehem D Solomon , Cristina Taddei , Goodarz Danaei , Mariachiara Di Cesare , Gretchen A Stevens , Leanne M Riley , Stefan Savin , Melanie J Cowan , Pascal Bovet , Albertino Damasceno , Adela Chirita-Emandi , Alison J Hayes , Nayu Ikeda , Rod T Jackson , Young-Ho Khang , Avula Laxmaiah , Jing 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, Yves Martin-Prevel , Rosemarie Martin , Reynaldo Martorell , Eva Martos , Katharina Maruszczak , Stefano Marventano , Luis P Mascarenhas , Shariq R Masoodi , Ellisiv B Mathiesen , Prashant Mathur , Alicia Matijasevich , Tandi E Matsha , Christina Mavrogianni , Artur Mazur , Jean Claude N Mbanya , Shelly R McFarlane , Stephen T McGarvey , Martin McKee , Stela McLachlan , Rachael M McLean , Scott B McLean , Breige A McNulty , Sounnia Mediene Benchekor , Jurate Medzioniene , Parinaz Mehdipour , Kirsten Mehlig , Amir Houshang Mehrparvar , Aline Meirhaeghe , Jørgen Meisfjord , Christa Meisinger , Ana Maria B Menezes , Geetha R Menon , Gert Bm Mensink , Maria Teresa Menzano , Alibek Mereke , Indrapal I Meshram , Andres Metspalu , Haakon E Meyer , Jie Mi , Kim F Michaelsen , Nathalie Michels , Kairit Mikkel , Karolina Milkowska , Jody C Miller , Cláudia S Minderico , G K Mini , Juan Francisco Miquel , Mohammad Reza Mirjalili , Daphne Mirkopoulou , Erkin Mirrakhimov , Marjeta 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, Jaakko Mursu , Elaine M Murtagh , Kamarul Imran Musa , Sanja Music Milanovic , Vera Musil , Norlaila Mustafa , Iraj Nabipour , Shohreh Naderimagham , Gabriele Nagel , Balkish M Naidu , Farid Najafi , Harunobu Nakamura , Jana Námešná , Ei Ei K Nang , Vinay B Nangia , Martin Nankap , Sameer Narake , Paola Nardone , Matthias Nauck , William A Neal , Azim Nejatizadeh , Chandini Nekkantti , Keiu Nelis , Liis Nelis , Ilona Nenko , Martin Neovius , Flavio Nervi , Chung T Nguyen , Nguyen D Nguyen , Quang Ngoc Nguyen , Ramfis E Nieto-Martínez , Yury P Nikitin , Guang Ning , Toshiharu Ninomiya , Sania Nishtar , Marianna Noale , Oscar A Noboa , Helena Nogueira , Teresa Norat , Maria Nordendahl , Børge G Nordestgaard , Davide Noto , Natalia Nowak-Szczepanska , Mohannad Al Nsour , Irfan Nuhoglu , Eha Nurk , Terence W O'Neill , Dermot O'Reilly , Galina Obreja , Caleb Ochimana , Angélica M Ochoa-Avilés , Eiji Oda , Kyungwon Oh , Kumiko Ohara , Claes Ohlsson , Ryutaro Ohtsuka , Örn Olafsson , Maria 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Paola, Nauck, Matthia, Neal, William A, Nejatizadeh, Azim, Nekkantti, Chandini, Nelis, Keiu, Nelis, Lii, Nenko, Ilona, Neovius, Martin, Nervi, Flavio, Nguyen, Chung T, Nguyen, Nguyen D, Nguyen, Quang Ngoc, Nieto-Martínez, Ramfis E, Nikitin, Yury P, Ning, Guang, Ninomiya, Toshiharu, Nishtar, Sania, Noale, Marianna, Noboa, Oscar A, Nogueira, Helena, Norat, Teresa, Nordendahl, Maria, Nordestgaard, Børge G, Noto, Davide, Nowak-Szczepanska, Natalia, Al Nsour, Mohannad, Nuhoglu, Irfan, Nurk, Eha, O'Neill, Terence W, O'Reilly, Dermot, Obreja, Galina, Ochimana, Caleb, Ochoa-Avilés, Angélica M, Oda, Eiji, Oh, Kyungwon, Ohara, Kumiko, Ohlsson, Clae, Ohtsuka, Ryutaro, Olafsson, Örn, Olinto, Maria Teresa A, Oliveira, Isabel O, Omar, Mohd Azahadi, Onat, Altan, Ong, Sok King, Ono, Lariane M, Ordunez, Pedro, Ornelas, Rui, Ortiz, Ana P, Ortiz, Pedro J, Osler, Merete, Osmond, Clive, Ostojic, Sergej M, Ostovar, Afshin, Otero, Johanna A, Overvad, Kim, Owusu-Dabo, Elli, Paccaud, Fred Michel, Padez, 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Salvador, Vineis, Paolo, Vioque, Jesu, Virtanen, Jyrki K, Visser, Marjolein, Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vladulescu, Mihaela, Vlasoff, Tiina, Vocanec, Dorja, Vollenweider, Peter, Völzke, Henry, Voutilainen, Ari, Voutilainen, Sari, Vrijheid, Martine, Vrijkotte, Tanja GM, Wade, Alisha N, Wagner, Aline, Waldhör, Thoma, Walton, Janette, Wambiya, Elvis OA, Bebakar, Wan Mohamad Wan, Mohamud, Wan Nazaimoon Wan, de Souza Wanderley Júnior, Rildo, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S Goya, Wareham, Nichola, Weber, Adelheid, Wedderkopp, Niel, Weerasekera, Deepa, Weghuber, Daniel, Wei, Wenbin, Weres, Aneta, Werner, Bo, Whincup, Peter H, Widhalm, Kurt, Widyahening, Indah S, Wiecek, Andrzej, Wilks, Rainford J, Willeit, Johann, Willeit, Peter, Williams, Julianne, Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A, Wong, Andrew, Wong, Jyh Eiin, Wong, Tien Yin, Woo, Jean, Woodward, Mark, Wu, Frederick C, Wu, Jianfeng, Wu, Li Juan, Wu, Shouling, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yamborisut, Uruwan, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yardim, Nazan, Yaseri, Mehdi, Yasuharu, Tabara, Ye, Xingwang, Yiallouros, Panayiotis K, Yoosefi, Moein, Yoshihara, Akihiro, You, Qi Sheng, You, San-Lin, Younger-Coleman, Novie O, Md Yusof, Safiah, Yusoff, Ahmad Faudzi, Zaccagni, Luciana, Zafiropulos, Vassili, Zainuddin, Ahmad A, Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antoni, Zamrazilová, Hana, Zapata, Maria Elisa, Zargar, Abdul Hamid, Ko Zaw, Ko, Zdrojewski, Tomasz, Zejglicova, Kristyna, Vrkic, Tajana Zeljkovic, Zeng, Yi, Zhang, Luxia, Zhang, Zhen-Yu, Zhao, Dong, Zhao, Ming-Hui, Zhao, Wenhua, Zhen, Shiqi, Zheng, Wei, Zheng, Yingfeng, Zholdin, Bekbolat, Zhou, Maigeng, Zhu, Dan, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Cisneros, Julio Zuñiga, Zuziak, Monika, Ezzati, Majid, Filippi, Sarah, Cohortes épidémiologiques en population (CONSTANCES), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Université Paris Cité (UPCité), Université Paris Cité (UPCité), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
Subjects: Population -- Health aspects, Leanness, Baixo peso/Underweight, none, Double burden, alipainoisuus, tulotaso, global health, systematic analysis, Sedentary behaviors, RC1200, Prospective associations, 0302 clinical medicine, underweight, nälänhätä, Biology (General), skin and connective tissue diseases, Children, ComputingMilieux_MISCELLANEOUS, Body mass index, Human Nutrition & Health, education.field_of_study, Humane Voeding & Gezondheid, ylipaino, General Medicine, kansainvälinen vertailu, 3. Good health, World health, Medicine, A100 Pre-clinical Medicine, Population distribution, medicine.medical_specialty, QH301-705.5, Science, Socio-culturale, Nursing, Social sciences, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Thinness, SDG 3 - Good Health and Well-being, BMI, epidemiology, obesity, None, Humans, Obesidade/Obesity, SDG 2 - Zero Hunger, education, VLAG, US adults, Omvårdnad, body mass index, malnutrition, obesity, underweight, nutritional and metabolic diseases, medicine.disease, terveellisyys, Obesity, Faculdade de Ciências Sociais, Body Mass Index, Prevalence, Risk Factors, General Biochemistry, WIAS, lihavuus, RA, Demography, N.A, double burden, Settore MED/09 - Medicina Interna, alueelliset erot, Nutrition and Disease, Animal Nutrition, [SDV]Life Sciences [q-bio], Medizin, 030204 cardiovascular system & hematology, 0601 Biochemistry and Cell Biology, Change distribution of body mass index, RA0421, Voeding en Ziekte, Epidemiology, Medicine and Health Sciences, Global health, Índice de massa corporal/Body Mass Index, 030212 general & internal medicine, Underweight, painoindeksi, 2. Zero hunger, General Neuroscience, aliravitsemus, elintarvikkeet, health, Public Health, Global Health, Social Medicine and Epidemiology, Diervoeding, 3142 Public health care science, environmental and occupational health, purl.org/pe-repo/ocde/ford#3.01.03 [https], Chinese adults, pooled analysis, medicine.symptom, Diet quality, B120 Physiology, Research Article, trends, purl.org/pe-repo/ocde/ford#1.06.03 [https], prevalence, Population, Mothers, Genetics and Molecular Biology, 3121 Internal medicine, medicine, Life Science, ddc:610, 3125 Otorhinolaryngology, ophthalmology, kehonkoostumus, Nutrition, Australian adults, General Immunology and Microbiology, purl.org/pe-repo/ocde/ford#3.01.04 [https], Ciências sociais, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Malnutrition, Epidemiology and Global Health, sense organs, Estilos de Vida e Impacto na Saúde
Abstract: From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions., Wellcome Trust, Medical Research Council, peer-reviewed
Published: 2021

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18 results on '"Kyobutungi, Catherine"'

1. Classical Cardiovascular Risk Factors and HIV are Associated With Carotid Intima-Media Thickness in Adults From Sub-Saharan Africa: Findings From H3Africa AWI-Gen Study.

2. Correlates of the double burden of malnutrition among women: an analysis of cross sectional survey data from sub-Saharan Africa.

3. Understanding of and perceptions towards cardiovascular diseases and their risk factors: a qualitative study among residents of urban informal settings in Nairobi.

4. Regional and sex-specific variation in BMI distribution in four sub-Saharan African countries: The H3Africa AWI-Gen study.

5. Interlinkage among cardio-metabolic disease markers in an urban poor setting in Nairobi, Kenya.

6. Evidence of a Double Burden of Malnutrition in Urban Poor Settings in Nairobi, Kenya.

7. Overweight, obesity, and perception of body image among slum residents in Nairobi, Kenya, 2008-2009.

8. The magnitude of diabetes and its association with obesity in the slums of Nairobi, Kenya: results from a cross-sectional survey.

9. Trends in obesity and diabetes across Africa from 1980 to 2014: an analysis of pooled population-based studies

10. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults

11. Rising rural body-mass index is the main driver of the global obesity epidemic in adults

12. Adiposity Phenotypes and Subclinical Atherosclerosis in Adults from Sub-Saharan Africa: An H3Africa AWI-Gen Study.

13. Magnitude and predictors of normal-weight central obesity– the AWI-Gen study findings

14. Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million participants

15. Measurement of overweight and obesity an urban slum setting in sub-Saharan Africa: a comparison of four anthropometric indices.

16. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

17. Sociodemographic and behavioural factors associated with body mass index among men and women in Nairobi slums: AWI-Gen Project.

18. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

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