Search

Objective: To assess the association of sociodemographic and environmental factors with the obesity occurrence in Argentina from a sex- and age-comparative perspective and a multilevel approach. Design: Cross-sectional study based on secondary data from the National Survey of Chronic Diseases Risk Factors (CDRF) 2018, Argentina. Two-level logistic regression models stratified by sex and age were used. Setting: The nationwide probabilistic sample of the CDRF survey and twenty-four geographical units. Participants: 16 410 adult people, living in Argentine towns of at least 5000 people, nested into 24 geographical units. Sex and age groups were defined as young (aged 18–44 years), middle-aged (45–64 years) and older (65 years and older) men and women. Results: Single men (all age groups) and divorced/widowed men (aged 45 years or older) had a lower obesity risk compared to married ones. In the middle-aged group, men with higher education showed a lower risk than men with incomplete primary education. In young women, a marked social gradient by educational level was observed. A low-income level coupled with highly urbanised contexts represents an unfavourable scenario for young and middle-aged women. Having a multi-person household was a risk factor for obesity (OR = 1·26, P = 0·038) in middle-aged women. Contextual factors linked to the availability of socially constructed recreational resources and green spaces were associated with obesity among young adults. Conclusions: Socio-environmental determinants of obesity seem to operate differently according to sex and age in Argentina. This entails the need to address the obesity epidemic considering gender inequalities and the socio-environmental context at each stage of life. [ABSTRACT FROM AUTHOR]

Copyright of Revista Argentina de Antropología Biológica is the property of Revista Argentina de Antropologia Biologica and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Breast cancer (BC) is a multifactorial disease. Environmental factors, specifically, obesity and diet quality, have been linked with an increased risk of BC in women. This research was aimed at assessing the association of diet quality with BC risk, considering nutritional status, in Córdoba province (Argentina). A case-control study was conducted during the period 2008–2016 (346 cases/566 controls). A diet quality score was calculated for each woman based on fifteen dietary components related to low-grade inflammation. Dietary information was obtained through a validated questionnaire. A score (0, 0.5, or 1) was assigned to each variable depending on compliance with dietary recommendations. The higher the score, the higher the degree of adherence to a poor quality diet, which carries a potential inflammatory effect. A multiple logistic regression analysis was used to assess the association between BC occurrence and diet quality, adjusting by body mass index. The mean score of women was 6.86 (1.83). Of total women studied, 20% were obese. A 39% increase in BC risk was observed for each unit of increase in the score in this group (Odds Ratio: 1.39; 95% Confidence Interval: 1086–1796). Obese women with poorer quality diet have a greater risk of BC occurrence in Córdoba (Argentina). [ABSTRACT FROM AUTHOR]

The glycaemic index (GI) and glycaemic load (GL) are involved in the aetiology of different diseases, and they could be related to the development of colorectal cancer (CRC). The aim of this study was to evaluate the association between the quality and quantity indicators of carbohydrates consumed by the population of Córdoba (Argentina) and the odds of developing CRC in 2008–2016 period. A case–control study was conducted with 492 participants (161/331 cases/controls), interviewed through a validated FFQ. Multilevel logistic regression models were used to assess the effect of GI, GL and the quantity or weekly intake of high-GI foods on CRC occurrence, following adjustment for individual/first-level covariates, and using level of urbanisation as the contextual variable. The models were stratified by sex. Participants in the highest v. lowest tertile of dietary GL and weekly intake of high-GI foods had increased odds of CRC presence in the entire sample (OR 1·64, 95 % CI 1·16, 2·34 and OR 1·11, 95 % CI 1·09, 1·14, respectively) and in women (OR 1·98, 95 % CI 1·24, 3·18 and OR 1·41, 95 % CI 1·09, 1·83, respectively). In men, the second tertile of GL and weekly intake of high-GI foods were associated with CRC (OR 1·44, 95 % CI 1·04, 1·99 and OR 1·48, 95 % CI 1·32, 1·65, respectively). Also, GI was associated with CRC in women (highest v. lowest tertile OR 2·12, 95 % CI 1·38, 3·27). In addition to the quantity and quality of carbohydrates intake, it is important to consider the frequency of consumption of high-GI foods in CRC prevention. [ABSTRACT FROM AUTHOR]

Objective: The present study aimed to identify nutrition transition (NT) profiles in Argentina (2005-2013) and assess their association with obesity in the adult population.Design: A large cross-sectional study was performed considering data sets of nationally representative surveys. A multiple correspondence analysis coupled with hierarchical clustering was conducted to detect geographical clusters of association among sociodemographic and NT indicators. Multilevel logistic regression models were used to assess the effect of NT profile (proxy variable of contextual order) on obesity occurrence.Setting: First, we used geographically aggregated data about the adult and child populations in Argentina. Second, we defined the population of adults who participated in the National Survey of Chronic Disease Risk Factors (2013) as the study population.ParticipantsTwenty-four geographical units that make up the territory of Argentina and 32 365 individuals over 18 years old living in towns of at least 5000 people.Results: Three NT profiles were identified: 'Socionutritional lag' (characterized by undernutrition and socio-economically disadvantaged conditions; profile 1); 'Double burden of malnutrition' (undernutrition and overweight in highly urbanized scenarios; profile 2); and 'Incipient socionutritional improvement' (low prevalence of malnutrition and more favourable poverty indicator values; profile 3). Profiles 1 and 2 were significantly associated (OR; 95 % CI) with a higher risk of obesity occurrence in adults (1·17; 1·02, 1·32 and 1·44; 1·26, 1·64, respectively) compared with profile 3.Conclusions: Argentina is facing different NT processes, where sociodemographic factors play a major role in shaping diverse NT profiles. Most of the identified profiles were linked to obesity burden in adults. [ABSTRACT FROM AUTHOR]

Cancer occurrence is associated with Arsenic (As) in drinking water. In Argentina, there are high As concentrations in groundwater but there is no published evidence yet of an association between geographic patterns of cancer incidence and the distribution of As in groundwater supplies. The purpose of this study is to assess the association between cancer incidence patterns and As in Córdoba province's aquifers. Age standardized incidence rates (ASIRs) were obtained from Córdoba Cancer Registry (CCR), and As data from official reports of monitoring wells. A multilevel model was applied. Total ASIRs by aquifers for males/females were 191.01/249.22 (Rioja plain); 215.03/225.37 (Pampa hills); and 239.42/188.93 (Chaco-Pampa plain). As was associated with increased risk of colon cancer in women, and lung and bladder cancers in both sexes. It had no association with breast cancer. ASIRs were related to As, controlling for unobserved heterogeneity. An overlapping pattern of higher As and higher risks was evident for lung, bladder and female colon cancers. [ABSTRACT FROM AUTHOR]

Background There are significant differences in cancer mortality burden along time and between regions, related to changes in individual and contextual conditions. We aimed to analyze the geographic pattern and temporal trend of cancer mortality in Argentina, simultaneously, by using mapping techniques. Methods Age-standardized mortality rates (ASMR, direct method) and average annual percent change (APC, joinpoint regression method) in 1996-2015 were estimated for breast, lung, prostate, colon, cervix, stomach and total cancer in Argentina. Mortality maps were constructed (provincial level, n = 24) for the 2013-2015 period, overlapping temporal trend information (1996-2015), using ascending or decreasing arrows for rising (positive) or decreasing (negative) APC, respectively; the arrow size was proportional to the APC magnitude. Results Both sexes show a similar geographical pattern in cancer ASMR characterized by higher rates in the central and southern Argentinian provinces, and lower rates in the northern provinces. However, men present higher rates than women (ASMRs between 85-158/100,000 deaths/year, and between 67-99/100,000, respectively). Most of tumour sites presented negative APC in most provinces, with geographical disparities on their magnitude. Nevertheless, lung cancer in women (mean APC=1.4%) and colon cancer (1.5% in men and 2.1% in women) showed increasing mortality trends. Conclusions Overall, cancer shows favorable mortality temporal trends, with heterogeneity between provinces in the APC magnitude. Maps suggest that geographical disparities may be linked to social inequalities. Key messages Geographical pattern in cancer ASMR was similar by sex, although with higher rates in men. Cancer sites show decreasing mortality trends, except female lung cancer and colon cancer. [ABSTRACT FROM AUTHOR]

Background Health outcomes are often related to the conditions in which people live. Previous studies indicated that cancer mortality is non-randomly distributed between social groups and regions in Argentina. We aimed to analyze geographical pattern of mortality due to the most prevalent cancers in Argentina (2013-2015), from a quality of life approach. Methods Age-standardized mortality rates (ASMR) for specific cancer types (breast, lung, prostate, colon, cervix, stomach) was estimated by direct method (2013-2015 period). Mortality maps at a departmental scale (n = 511) were constructed by using a Getis-Ord Hot Spot spatial analysis. A Quality of Life Index (QLI, continuous score) for Argentina 2010 was used. Poisson mixed models with a random intercept were performed to estimate IRRs (relative risk) as measures of association. Results Breast, lung, and colon cancers show the most clear ASMR geographical patterns, which locate an extensive cold spot (lower and correlated rates) in the northwestern region of Argentina and a hot spot (higher and correlated rates) in the Pampeana (center-east) region. Particularly, breast and cervix cancers showed confronting mortality geographic patterns and opposite relationships with the departmental QLI (IRR 1.23 and 0.78, respectively). A direct association was found for lung (IRR 1.46/1.15 for women/men) and colon cancer (IRR 1.57/1.49 for women/men). Conclusions Results evidence geographic disparities in cancer mortality burden linked to the quality of life of populations at departmental scale in Argentina. Key messages Geographic disparities in cancer mortality are linked to the quality of life in Argentina. Mortality-QLI relationship varies according the cancer type. [ABSTRACT FROM AUTHOR]

Background In Argentina, there is evidence suggesting the obesity prevalence follows a social gradient. We analyze geographical differentials and trends in obesity burden according to socio-demographic conditions in Argentina (2005-2013). Methods The geographical distribution (n = 24 provinces) of the obesity burden in adult population of Argentina in 2005, 2009, and 2013 was analyzed by using mapping techniques. The National Survey of Chronic Diseases Risk Factors datasets were used to estimate and map the age-standardized prevalence of obesity (ASPO) and group-specific prevalence (% obesity) by province and year. Population groups were defined according to socio-demographic factors: age, sex, income level, education, and poverty level (by unsatisfied basic needs –UBN). Results Most of the provinces had an increasing ASPO between 2005 and 2013. In 2013, 75% of the provinces showed an ASPO above 20% in men, while 50% of the provinces exceed this ASPO value in women. In both sexes, the middle-aged group presented the most unfavorable situation. Overall, all the socio-demographic groups considered showed growing trends in obesity prevalence, although there were geographical disparities. Among the middle-income level population, a marked rising change was observed from 2009 to 2013. The population with incomplete primary education presented higher prevalence for all the years studied compared to the population with university education. Conclusions Since 2005, there was an overall increase in obesity prevalence in Argentina, with persistence of geographical disparities according to socio-demographical conditions. Key messages An overall rising trend in obesity prevalence was observed in Argentina. Geographical disparities by social groups were observed. [ABSTRACT FROM AUTHOR]