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Background: Physical activity implies different patterns, but many studies have focused on physical inactivity and sedentary behaviors. This study aimed to estimate the prevalence of different physical activity patterns among adolescents in Latin America and the Caribbean region. Methods: Pooled analysis of the most updated data of the Global School-based Student Health surveys. Age-standardized prevalence of 4 outcomes was estimated using information from the last 7 days: physical inactivity (0 d of at least 60 min/d), insufficient physical activity (<5 d of at least 60 min/d), commuting physical activity (≥5 d of walking or biking to school), and sedentary behavior (≥3 h/d of sitting time). Results: A total of 132,071 records (33 countries) were analyzed, mean age 14.6 years, 51.2% girls. Pooled age-standardized prevalence of physical inactivity was 22.3%, greater among girls (25.4%) than boys (19.1%); insufficient physical activity was present in 67.7%, greater in girls (73.6%) than boys (61.5%); commuting physical activity was seen in 43.7%, similar between girls (43.3%) and boys (44.1%); and sedentary behavior was present in 43.4%, greater among girls (45.4%) than boys (41.3%). Conclusions: In Latin America and the Caribbean region, almost two-thirds of adolescents are insufficiently physically active, ≥40% are sedentary, and ≥20% are physically inactive, and these behaviors are more frequent among girls than boys. [ABSTRACT FROM AUTHOR]

Background: Point-of-care testing (POCT) devices are diagnostic tools that can provide quick and accurate results within minutes, making them suitable for diagnosing non-communicable diseases (NCDs). However, these devices are not widely implemented in healthcare systems and for this reason is relevant to understand the implementation process. Aim: To describe the process and define a strategy to implement a multiparameter POCT device for diagnosing and managing NCDs in one region of Peru. Methods: A descriptive and non-experimental study, using the participatory methodologies of co-creation process. It was conducted in one region of Peru (Tumbes) to design an intervention for implementing a multiparameter POCT device. Two co-creation sessions were conducted involving five groups: community members, primary healthcare workers, these groups in both rural and urban settings, and regional decision-makers. These sessions included activities to understand patient journeys in receiving care for NCDs, identify facilitators and barriers to POCT devices usage, and define an implementation strategy for POCT devices in both rural and urban settings of Tumbes. The research team analysed the data and summarized key topics for discussion after each session. Results: A total of 78 participants were enrolled across the five groups. Among community members: 22.2% had only diabetes, 24.1% had only hypertension, and 18.5% had both diagnoses. In the patient journey, community members mentioned that it took at least three days to receive a diagnosis and treatment for an NCD. Most of the participants agreed that the POCT devices would be beneficial for their communities, but they also identified some concerns. The strategy for POCT devices implementation included healthcare workers training, POCT devices must be placed in the laboratory area and must be able to perform tests for glucose, glycated haemoglobin, cholesterol, and creatinine. Advertising about POCT devices should be displayed at the healthcare centres and the municipality using billboards and flyers. Conclusions: The co-creation process was useful to develop strategies for the implementation of multiparameter POCT devices for NCDs, involving the participation of different groups of stakeholders guided by moderators in both, rural and urban, settings in Peru. [ABSTRACT FROM AUTHOR]

Background: The long-term health association of the leisure-time and transport-related physical activity domains of the International Physical Activity Questionnaire have not been established in Latin American settings. The authors aimed to quantify the 7-year all-cause mortality risk associated with levels of leisure-time and transport-related physical activity. Methods: Ongoing prospective cohort study conducted in 4 sites in Peru. People ≥35 years were randomly selected from the general population in each study site. The exposures were leisure-time and transport-related physical activity (International Physical Activity Questionnaire) at baseline. The outcome was all-cause mortality based on information retrieved from national records. Cox regression and sensitivity analyses were conducted. Results: There were 3601 people (mean age 55.8 y, 51.5% women). Greater levels of physical activity were associated with lower risk of all-cause mortality, an observation confirmed in sensitivity analyses. Compared with those with low levels of physical activity, leisure-time (≥500 metabolic equivalent of task minutes per week) and transport-related (500–1499 and ≥1500 metabolic equivalent of task minutes per week) physical activity were associated with 70% (95% confidence interval, 3%–90%), 43% (95% confidence interval, 18%–61%), and 42% (95% confidence interval, 8%–63%) lower all-cause mortality, respectively. Conclusions: Greater levels of leisure-time and transport-related physical activity were associated with a strong reduction in the risk of all-cause mortality across different geographical sites. [ABSTRACT FROM AUTHOR]

Background: Screening for type 2 diabetes mellitus (T2DM) targets people aged 35+ years and those with overweight/obesity. With mounting evidence on young‐onset T2DM and T2DM patients with lean phenotypes, it is worth revising the screening criteria to include younger and leaner adults. We quantified the mean age and body mass index (BMI; kg/m2) at T2DM diagnosis in 56 countries. Methods: Descriptive cross‐sectional analysis of WHO STEPS surveys. We analysed adults (25–69 years) with new T2DM diagnosis (not necessarily T2DM onset) as per fasting plasma glucose ≥126 mg/dL measured during the survey. For people with new T2DM diagnosis, we summarized the mean age and the proportion of each five‐year age group; also, we summarized the mean BMI and the proportion of mutually exclusive BMI categories. Results: There were 8695 new T2DM patients. Overall, the mean age at T2DM diagnosis was 45.1 years in men and 45.0 years in women; and the mean BMI at T2DM diagnosis was 25.2 in men and 26.9 in women. Overall, in men, 10.3% were 25–29 years and 8.5% were 30–34 years old; in women, 8.6% and 12.5% were 25–29 years and 30–34 years old, respectively. 48.5% of men and 37.3% of women were in the normal BMI category. Conclusions: A non‐negligible proportion of new T2DM patients were younger than 35 years. Many new T2DM patients were in the normal weight range. Guidelines for T2DM screening may consider revising the age and BMI criteria to incorporate young and lean adults. [ABSTRACT FROM AUTHOR]

Aims: The use of continuous glucose monitors (CGMs) has been shown to have positive impact on diabetes management for people with type 1 diabetes (T1DM), type 2 diabetes (T2DM) and gestational diabetes (GDM) in high‐income countries. However, as useful as CGMs are, the experience in low‐ and middle‐income countries (LMICs) is limited and has not been summarized. Methods: A scoping review of the scientific literature was conducted. Medline, Embase, Global Health and Scopus were used to seek original research conducted in LMICs. The search results were screened by two reviewers independently. We included studies assessing health outcomes following the use of CGMs at the individual level (e.g. glycaemic control or complications) and at the health system level (e.g. barriers, facilitators and cost‐effectiveness) in English, Portuguese, Spanish and French. Results were summarized narratively. Results: From 4772 records found in database search, 27 reports were included; most of them from China (n = 7), Colombia (n = 5) and India (n = 4). Thirteen reports studied T1DM, five T2DM, seven both T1DM and T2DM and two GDM. Seven reports presented results of experimental studies (five randomized trials and two quasi‐experimental); two on cost‐effective analysis and the remaining 18 were observational. Studies showed that CGMs improved surrogate glycaemic outcomes (HbA1c reduction), hard endpoints (lower hospitalization rates and diabetes complications) and patient‐oriented outcomes (quality of life). However, several caveats were identified: mostly observational studies, few participants in trials, short follow‐up and focused on surrogate outcomes. Conclusions: The scoping review identified that studies about CGMs in LMICs have several limitations. Stronger study designs, appropriate sample sizes and the inclusion of patient‐important outcomes should be considered to inform the evidence about CGMs for the management of people with diabetes in LMICs. [ABSTRACT FROM AUTHOR]

Summary: Objective: Launching priority actions demand a comprehensive appraisal of the size effect that risk factors have on the burden of overweight and obesity. This study aimed to estimate the incidence of overweight and obesity among children and adolescents, with special emphasis on the role of specific risk factors. Materials and Methods: Secondary analysis of data from the younger cohort of the Young Lives Study in Peru (2002–2017). The outcomes were: overweight and obesity, defined by the World Health Organization standards; whereas the exposures included caesarean birth, physical activity levels, sodas and sugar‐sweetened beverages consumption, snacks consumption, and maternal body mass index (BMI). We used multilevel Poisson regression models, considering the repetitive nature of data, to estimate incidence rate ratios (IRRs) and population attributable fractions (PAFs). Results: A total of 2052 children, mean age 1 (SD 0.4) year, and 50% girls, were enrolled at baseline. After 14 (SD 0.5) years of follow‐up, the incidence of overweight and obesity were 7.9 (95% CI 7.6–8.2) and 2.2 (95% CI 2.0–2.4) per 100 person‐year, respectively. Maternal BMI (IRRs 3.51; PAF 31.8%), low physical activity (IRR 1.64; PAF 27.4%), caesarean birth (IRR 1.63; PAF 11.4%), almost daily snack consumption (IRR 1.60; PAF 32.1%), and almost daily consumption of sweetened beverages (IRR 1.47; PAF 26.0%) increased the risk of developing obesity. Conclusions: This study provides evidence on the risk of overweight and obesity attributable to diet habits, physical activity and the obesogenic niche among children and adolescents in Peru, which may guide the implementation of evidence‐based interventions. [ABSTRACT FROM AUTHOR]

Objective: We aimed (1) to evaluate the agreement between two methods (equation and bio‐impedance analysis [BIA]) to estimate skeletal muscle mass (SMM), and (2) to assess if SMM was associated with all‐cause mortality risk in individuals across different geographical sites in Peru. Methods: We used data from the CRONICAS Cohort Study (2010–2018), a population‐based longitudinal study in Peru to assess cardiopulmonary risk factors from different geographical settings. SMM was computed as a function of weight, height, sex and age (Lee equation) and by BIA. All‐cause mortality was retrieved from national vital records. Cox proportional‐hazard models were developed and results presented as hazard ratios (HRs) with 95% confidence intervals (95% CIs). Results: At baseline, 3216 subjects, 51.5% women, mean age 55.7 years, were analysed. The mean SMM was 23.1 kg (standard deviation [SD]: 6.0) by Lee equation, and 22.7 (SD: 5.6) by BIA. Correlation between SMM estimations was strong (Pearson's ρ coefficient = 0.89, p < 0.001); whereas Bland–Altman analysis showed a small mean difference. Mean follow‐up was 7.0 (SD: 1.0) years, and there were 172 deaths. In the multivariable model, each additional kg in SMM was associated with a 19% reduction in mortality risk (HR = 0.81; 95% CI: 0.75–0.88) using the Lee equation, but such estimate was not significant when using BIA (HR = 0.98; 95% CI: 0.94–1.03). Compared to the lowest tertile, subjects at the highest SMM tertile had a 56% reduction in risk of mortality using the Lee equation, but there was no such association when using BIA estimations. Conclusion: There is a strong correlation and agreement between SMM estimates obtained by the Lee equation and BIA. However, an association between SMM and all‐cause mortality exists only when the Lee equation is used. Our findings call for appropriate use of approaches to estimate SMM, and there should be a focus on muscle mass in promoting healthier ageing. [ABSTRACT FROM AUTHOR]

The political and economic crisis in Venezuela has originated an unprecedented migration. As of November 2020, 1.04 million Venezuelans have moved to Peru. Understanding their health profile is needed to identify their needs, provide care and secure resources without affecting the healthcare of nationals. We quantified the burden of multimorbidity and disability in the Venezuelan population in Peru. We analyzed the 2018 Survey of Venezuelan Population Living in Peru; population-based with random sampling survey in six cities in Peru. Participants were asked about the presence of 12 chronic conditions (self-reported); this information was grouped into 0, 1 and ≥ 2 conditions (i.e., multimorbidity). Disability was also ascertained with a self-reported questionnaire adapted from the short version of the Washington Group on Disability Statistics. Socioeconomic variables were analyzed as potential determinants. Variables were described with frequencies and 95% confidence interval (95% CI), compared with Chi2 test, and association estimates were derived with a Poisson regression reporting prevalence ratio and 95% CI. Results accounted for the complex survey design. The analysis included 7554 migrants, mean age 31.8 (SD: 10.2), 46.6% were women, 31.7% migrated alone and 5.6% had refugee status. The prevalence of multimorbidity was 0.6% (95% CI 0.4–0.9%), and was often present in women (p < 0.001), people ≥ 50 years (p < 0.001) and those without recent job (p < 0.001). The prevalence of disability was 2.0% (95% CI 1.5–2.7%), and was common among people ≥ 50 years (p < 0.001) and those without recent job (p < 0.001). Migration alone and refugee status were not associated with multimorbidity or disability. The self-reported prevalence of multimorbidity and disability in Venezuelan migrants in Peru was low, and were not strongly influenced by migration status. While these results could suggest a healthy migrant effect, the healthcare system should be prepared to deliver acute and preventive care for these migrants, while also securing primary prevention to delay the onset of chronic conditions in this population. [ABSTRACT FROM AUTHOR]

Aims: The focus of health system interventions for noncommunicable diseases and diabetes focus mainly on primary health care responses. However, existing interventions are not necessarily adapted for the complex management of type 1 diabetes (T1DM). We aimed to identify and describe health system interventions which have been developed to improve the management of T1DM globally. Methods: We conducted a scoping review by searching MEDLINE, Embase, and Global Health using OVID for peer‐review articles published in either English, Spanish, Portuguese or French in the last 10 years. We classified the intervention strategies according to the Effective Practice and Organization of Care (EPOC) taxonomy for health system interventions and the World Health Organization (WHO) health system building blocks. Results: This review identified 159 health system interventions to improve T1DM management. Over half of the studies focused only on children or adolescents with type 1 diabetes. Only a small fraction of the studies were conducted in low‐and‐middle income countries (LMICs). According to the EPOC taxonomy, the most frequently studied category was delivery arrangement interventions, while implementation strategies and financial arrangements were less frequently studied. Also, governance arrangements domains were not studied. The most common combination of intervention strategies included self‐management with either telemedicine, use of information and smart home technologies. Conclusions: There is a need to expand potential interventions to other EPOC strategies to assess their potential effect on health outcomes in people with T1DM, as well as to involve more LMIC settings as the impact may be greater in these settings. [ABSTRACT FROM AUTHOR]

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Objective: To estimate the association between the aggregation and pair-wise combination of selected cardiovascular risk factors (CVRF) and 10-year all-cause mortality.Methods: Secondary data analysis of the PERU MIGRANT study, a prospective population-based cohort. Ten-year all-cause mortality was determined for participants originally enrolled in the PERU MIGRANT Study (baseline in 2007) through the National Registry of Identification and Civil Status. The CVRF included hypertension, type 2 diabetes mellitus, hypercholesterolemia, and overweight/obesity. Exposures were composed of both the aggregation of the selected CVRF (one, two, and three or more CVRF) and pair-wise combinations of CVRF. Cox regression models were used to calculate hazard ratios (HR) and 95% confidence intervals (95% CI).Findings: Of the 989 participants evaluated at baseline, 976 (98.8%) had information about vital status at 10 years of follow-up (9992.63 person-years), and 63 deaths were recorded. In the multivariable model, adjusting for sociodemographic and lifestyle variables, participants with two CVRF (HR: 2.48, 95% CI: 1.03-5.99), and those with three or more CVRF (HR: 3.93, 95% CI: 1.21-12.74) had higher all-cause mortality risk, compared to those without any CVRF. The pair-wise combinations associated with the highest risk of all-cause mortality, compared to those without such comorbidities, were hypertension with type 2 diabetes (HR: 11.67, 95% CI: 3.67-37.10), and hypertension with overweight/obesity (HR: 2.76, 95% CI: 1.18-6.71).Conclusions: The aggregation of two or more CVRF and the combination of hypertension with type 2 diabetes or overweight/obesity were associated with an increased risk of 10-year all-cause mortality. These risk profiles will inform primary and secondary prevention strategies to delay mortality from cardiovascular risk factors. [ABSTRACT FROM AUTHOR]

Background: Second-hand smoking has not been detailedly studied in Peru, where smoking is prohibited in all indoor workplaces, public places, and public transportation. Second-hand smoke exposure may occur at home or any other places. This study aimed to estimate the prevalence of second-hand smoking and assess its association with hypertension and cardiovascular risk in Peru.Materials and Methods: Secondary analysis of a nationally-representative population-based survey including individuals aged 18-59 years. There were two outcomes: hypertension and 10-year cardiovascular risk using the Framingham and the 2019 World Health Organization (WHO) risk scores. The exposure was self-reported second-hand smoking during the 7 days before the survey. The association between second-hand smoking and hypertension was quantified with Poisson models reporting prevalence ratio (PR) and 95% confidence interval (95% CI); the association between second-hand smoking and cardiovascular risk was quantified with linear regressions reporting coefficients and their 95% CI.Results: Data from 897 individuals, mean age: 38.2 (SD: 11.8) years, and 499 (55.7%) females, were analyzed, with 8.7% subjects reporting second-hand smoking at home and 8.3% at work or any other place. Thus, 144 (15.5%; 95% CI: 12.8%-18.6%) subjects reported any second-hand smoking. In multivariable model second-hand smoking was associated with hypertension (PR = 2.42; 95% CI: 1.25-4.67), and with 1.2% higher Framingham cardiovascular risk, and 0.2% higher 2019 WHO risk score.Conclusions: There is an association between second-hand smoking and hypertension as well as with cardiovascular risk, and 15% of adults reported second-hand smoke exposure overall with half of them exposed at home. There is a need to guarantee smoking-free places to reduce cardiovascular risk. [ABSTRACT FROM AUTHOR]

Background: Physical inactivity and sedentary behaviors have been linked with impaired health outcomes. Establishing the physical inactivity profiles of a given population is needed to establish program targets and to contribute to international monitoring efforts. We report the prevalence of, and explore sociodemographical and built environment factors associated with physical inactivity in 4 resource-limited settings in Peru: rural Puno, urban Puno, Pampas de San Juan de Mirafores (urban), and Tumbes (semiurban). Methods: Cross-sectional analysis of the CRONICAS Cohort Study's baseline assessment. Outcomes of interest were physical inactivity of leisure time (<600 MET-min/week) and transport-related physical activity (not reporting walking or cycling trips) domains of the IPAQ, as well as watching TV, as a proxy of sedentarism (≥2 hours per day). Exposures included demographic factors and perceptions about neighborhood's safety. Associations were explored using Poisson regression models with robust standard errors. Prevalence ratios (PR) and 95% confidence intervals (95% CI) are presented. Results: Data from 3593 individuals were included: 48.5% males, mean age 55.1 (SD: 12.7) years. Physical inactivity was present at rates of 93.7% (95% CI 93.0%-94.5%) and 9.3% (95% CI 8.3%-10.2%) within the leisure time and transport domains, respectively. In addition, 41.7% (95% CI 40.1%-43.3%) of participants reported watching TV for more than 2 hours per day. Rates varied according to study settings (P < .001). In multivariable analysis, being from rural settings was associated with 3% higher prevalence of leisure time physical inactivity relative to highly urban Lima. The pattern was different for transport-related physical inactivity: both Puno sites had around 75% to 50% lower prevalence of physical inactivity. Too much traffic was associated with higher levels of transport-related physical inactivity (PR = 1.24; 95% CI 1.01-1.54). Conclusion: Our study showed high levels of inactivity and marked contrasting patterns by rural/urban sites. These findings highlight the need to generate synergies to expand nationwide physical activity surveillance systems. [ABSTRACT FROM AUTHOR]

Background: At the population level we would expect that people with obesity undergo diabetes screening tests more often than people with overweight and much more often than people with normal weight. We described the trends of diabetes screening according to body mass index (BMI) and waist circumference (WC) in Peru. Methods: Pooled analysis of health national surveys (2015–2019); men and women aged 35–70 years. We used relative frequencies to study: among those who have had a glucose test in the last year, how many there were in each BMI and WC category. We fitted a Poisson model to study whether people with high BMI or WC were more likely to have had a glucose test. Results: People with overweight (PR = 1.34; 95% CI: 1.29–1.38), obesity (PR = 1.57; 95% CI: 1.51–1.63) and central obesity (PR = 1.63; 95% CI: 1.35–1.96) were more likely to have had a glucose test. At the sub-national level, there was one (of twenty-five) region in which men with obesity were more often screened for diabetes than men with overweight and much more than men with normal weight. There were seven regions in which women with obesity were the most often screened for diabetes. Conclusions: Consistent with a risk-based prevention approach, people with obesity would be screened for diabetes more often than those with overweight and those with normal weight. This ideal profile was only observed in few regions. Diabetes screening strategies should be strengthened and homogenised, so that they reach those at high risk of diabetes. [ABSTRACT FROM AUTHOR]

Objective: This study assessed the relationship between urbanization and the double burden of malnutrition (DBM) in Peru. Methods: A cross‐sectional analysis of the Demographic and Health Survey (2009 to 2016) was conducted. A DBM "case" comprised a child with undernutrition and a mother with overweight/obesity. For urbanization, three indicators were used: an eight‐category variable based on district‐level population density (inhabitants/km2), a dichotomous urban/rural variable, and place of residence (countryside, towns, small cities, or capital/large cities). Results: The prevalence of DBM was lower in urban than in rural areas (prevalence ratio [PR] 0.70; 95% CI: 0.65‐0.75), and compared with the countryside, DBM was less prevalent in towns (PR 0.75; 95% CI: 0.69‐0.82), small cities (PR 0.73; 95% CI: 0.67‐0.79), and capital/large cities (PR 0.53; 95% CI: 0.46‐0.61). Using population density, the adjusted prevalence of DBM was 9.7% (95% CI: 9.4%‐10.1%) in low‐density settings (1 to 500 inhabitants/km2), 5.9% (95% CI: 4.9%‐6.8%) in mid‐urbanized settings (1,001 to 2,500 inhabitants/km2), 5.8% (95% CI: 4.5%‐7.1%) in more densely populated settings (7,501 to 10,000 inhabitants/km2), and 5.5% (95% CI: 4.1%‐7.0%) in high‐density settings (>15,000 inhabitants/km2). Conclusions: The prevalence of DBM is higher in the least‐urbanized settings such as rural and peri‐urban areas, particularly those under 2,500 inhabitants/km2. [ABSTRACT FROM AUTHOR]

Background: Understanding the relationship between BMI and blood pressure requires assessing whether this association is similar or differs across population groups. This study aimed to assess the association between body mass index (BMI) and blood pressure levels, and how these associations vary between socioeconomic groups and geographical settings. Methods: Data from the National Demographic Health Survey of Peru from 2014 to 2019 was analyzed considering the complex survey design. The outcomes were levels of systolic (SBP) and diastolic blood pressure (DBP), and the exposure was BMI. Exposure and outcomes were fitted as continuous variables in a non-linear quadratic regression model. We explored effect modification by six socioeconomic and geographical variables (sex, age, education level, socioeconomic position, study area, and altitude), fitting an interaction term between each of these variables and BMI. Results: Data from 159, 940 subjects, mean age 44.4 (SD: 17.1), 54.6% females, was analyzed. A third (34.0%) of individuals had =12 years of education, 24.7% were from rural areas, and 23.7% lived in areas located over 2,500 m above sea level. In the overall sample mean BMI was 27.1 (SD: 4.6) kg/m2, and mean SBP and DBP were 122.5 (SD: 17.2) and 72.3 (SD: 9.8) mmHg, respectively. In the multivariable models, greater BMI levels were associated with higher SBP (p-value < 0.001) and DBP (p-value < 0.001). There was strong evidence that sex, age, education level, and altitude were effect modifiers of the association between BMI and both SBP and DBP. In addition to these socio-demographic variables, socioeconomic position and study area were also effect modifiers of the association between BMI and DBP, but not SBP. Conclusions: The association between BMI and levels of blood pressure is not uniform on a range of socio-demographic and geographical population groups. This characterization can inform the understanding of the epidemiology and rise of blood pressure in a diversity of low-resource settings. [ABSTRACT FROM AUTHOR]

Background: Non-communicable diseases (NCDs) have received political attention and commitment, yet surveillance is needed to measure progress and set priorities. Building on global estimates suggesting that Peru is not on target to meet the Sustainable Development Goal 3.4, we estimated the contribution of various NCDs to the change in unconditional probability of dying from NCDs in 25 regions in Peru. Methods: Using national death registries and census data, we estimated the unconditional probability of dying between ages 30 and 69 from any and from each of the following NCDs: cardiovascular, cancer, diabetes, chronic respiratory diseases and chronic kidney disease. We estimated the contribution of each NCD to the change in the unconditional probability of dying from any of these NCDs between 2006 and 2016. Results: The overall unconditional probability of dying improved for men (21.4%) and women (23.3%). Cancer accounted for 10.9% in men and 13.7% in women of the overall reduction; cardiovascular diseases also contributed substantially: 11.3% in men) and 9.8% in women. Consistently in men and women and across regions, diabetes moved in the opposite direction of the overall reduction in the unconditional probability of dying from any selected NCD. Diabetes contributed a rise in the unconditional probability of 3.6% in men and 2.1% in women. Conclusions: Although the unconditional probability of dying from any selected NCD has decreased, diabetes would prevent Peru from meeting international targets. Policies are needed to prevent diabetes and to strengthen healthcare to avoid diabetes-related complications and delay mortality. [ABSTRACT FROM AUTHOR]

Objectives: This study aimed to estimate the trends in the prevalence and treatment of depressive symptoms using nationally representative surveys in Peru from 2014 to 2018. Design: A secondary analysis was conducted using five nationally representative surveys carried out consecutively in the years between 2014 and 2018. Setting: The study was conducted in Peru. Participants: Individuals, men and women, aged ≥15 years who participated in the selected surveys. Sampling was probabilistic using a two-stage approach. Main outcome measures: Two versions of the Patient Health Questionnaire (PHQ-9) that focused on the presence of depressive symptoms were administered (one in the last 2 weeks and other in the last year). Scores ≥15 were used as the cut-off point in both versions of the PHQ-9 to define the presence of depressive symptoms. Also, the treatment rate was based on the proportion of individuals who had experienced depressive symptoms in the last year and who had self-reported having received specific treatment for these symptoms. The age-standardised prevalence was estimated. Results: A total of 161 061 participants were included. There was no evidence of a change in age-standardised prevalence rates of depressive symptoms at the 2 weeks prior to the point of data collection (2.6% in 2014 to 2.3% in 2018), or in the last year (6.3% in 2014 to 6.2% in 2018). Furthermore, no change was found in the proportion of depressive cases treated in the last year (14.6% in 2014 to 14.4% in 2018). Rural areas and individuals with low-level of wealth had lower proportion of depressive cases treated. Conclusions: No changes in trends of rates of depressive symptoms or in the proportion of depressive cases treated were observed. This suggests the need to reduce the treatment gap considering social determinants associated with inequality in access to adequate therapy. [ABSTRACT FROM AUTHOR]

Background: Indoor air pollution is an important risk factor for health in low- and middle-income countries.Methods: We measured indoor fine particulate matter (PM2.5) and carbon monoxide (CO) concentrations in 617 houses across four settings with varying urbanisation, altitude, and biomass cookstove use in Peru, between 2010 and 2016. We assessed the associations between indoor pollutant concentrations and blood pressure (BP), exhaled carbon monoxide (eCO), C-reactive protein (CRP), and haemoglobin A1c (HbA1c) using multivariable linear regression among all participants and stratifying by use of biomass cookstoves.Results: We found high concentrations of indoor PM2.5 across all four settings (geometric mean ± geometric standard deviation of PM2.5 daily average in μg/m3): Lima 41.1 ± 1.3, Tumbes 35.8 ± 1.4, urban Puno 14.1 ± 1.7, and rural Puno 58.8 ± 3.1. High indoor CO concentrations were common in rural households (geometric mean ± geometric standard deviation of CO daily average in ppm): rural Puno 4.9 ± 4.3. Higher indoor PM2.5 was associated with having a higher systolic BP (1.51 mmHg per interquartile range (IQR) increase, 95% CI 0.16 to 2.86), a higher diastolic BP (1.39 mmHg higher DBP per IQR increase, 95% CI 0.52 to 2.25), and a higher eCO (2.05 ppm higher per IQR increase, 95% CI 0.52 to 3.57). When stratifying by biomass cookstove use, our results were consistent with effect measure modification in the association between PM2.5 and eCO: among biomass users eCO was 0.20 ppm higher per IQR increase in PM2.5 (95% CI - 2.05 to 2.46), and among non-biomass users eCO was 5.00 ppm higher per IQR increase in PM2.5 (95% CI 1.58 to 8.41). We did not find associations between indoor air concentrations and CRP or HbA1c outcomes.Conclusions: Excessive indoor concentrations of PM2.5 are widespread in homes across varying levels of urbanisation, altitude, and biomass cookstove use in Peru and are associated with worse BP and higher eCO. [ABSTRACT FROM AUTHOR]

Introduction: Approximately 350 million people have depression. The presence of arterial hypertension is a major risk factor for mental health. However, several studies on the association between arterial hypertension and depressive symptoms present controversial evidence. We aimed at identifying whether there is an association between arterial hypertension and depressive symptoms, taking into account the time since hypertension diagnosis. Methods: A secondary analysis of the Demographic and Health Survey in Peru (2014‐2016) was conducted. The outcome was depressive symptoms, while hypertension and time since hypertension diagnosis were the exposure of interest. Poisson regression models were created, reporting prevalence ratios (PR) and 95% confidence intervals (95% CI). Results: Data from 87 253 participants were analyzed. A total of 2633 (3.0%; 95% CI: 2.8%‐3.2%) individuals had depressive symptoms, whereas hypertension was present in 15 681 (19.6%; 95% CI: 19.1%‐20.1%) subjects. In the multivariable model, people with less than a year since diagnosis were more than twice as likely to have depressive symptoms (PR = 2.08, 95% CI 1.65‐2.63) compared to the group of people without hypertension. This probability decreased for individuals with 1 to 4 years since diagnosis (PR = 1.42, 95% CI 1.13‐1.80), and for people with ≥5 years since diagnosis (PR = 1.29, 95% CI 1.01‐1.64). Conclusions: There is an association between hypertension and depressive symptoms, but this varies depending on time since diagnosis. Thus, individuals with <1 year since diagnosis had the highest probability of having depressive symptoms; after that, that probability decreased as the time since diagnosis increased. [ABSTRACT FROM AUTHOR]

Background: Latin America ranks among the regions with the highest level of intake of sugary beverages in the world. Innovative strategies to reduce the consumption of sugary drinks are necessary.Purpose: Evaluate the effect of a one-off priest-led intervention on the choice and preference of soda beverages.Methods: We conducted a pragmatic cluster-randomized trial in Catholic parishes, paired by number of attendees, in Chimbote, Peru between March and June of 2017. The priest-led intervention, a short message about the importance of protecting one's health, was delivered during the mass. The primary outcome was the proportion of individuals that choose a bottle of soda instead of a bottle of water immediately after the service. Cluster-level estimates were used to compare primary and secondary outcomes between intervention and control groups utilizing nonparametric tests.Results: Six parishes were allocated to control and six to the intervention group. The proportion of soda selection at baseline was ~60% in the intervention and control groups, and ranged from 56.3% to 63.8% in Week 1, and from 62.7% to 68.2% in Week 3. The proportion of mass attendees choosing water over soda was better in the priest-led intervention group: 8.2% higher at Week 1 (95% confidence interval 1.7%-14.6%, p = .03), and 6.2% higher at 3 weeks after baseline (p = .15).Conclusions: This study supports the proof-of-concept that a brief priest-led intervention can decrease sugary drink choice.Clinical Trial Information: ISRCTN, ISRCTN24676734. Registered 25 April 2017, https://www.isrctn.com/ISRCTN24676734. [ABSTRACT FROM AUTHOR]

Aim: To assess if there is an association between sitting time and obesity among adult Peruvian population, using three different anthropometric measurements. Methods: A secondary analysis using data from a population‐based study, the National Household Survey (ENAHO, in Spanish), was conducted enrolling adults aged ≥18 years from the 25 regions of Peru using a multistage random sampling technique. The outcome of interest was obesity, determined by body mass index (BMI > 30 kg/m2), waist circumference (WC > 80 and >90 cm in women and men, respectively) and waist to height ratio (WHR > 0.5); while the exposure was sitting time, measured using the last domain of the International Physical Activity Questionnaire and then categorised in <4 hours/day, 4 to <8 hours/day and 8+ hours/day. Associations were estimated using Poisson regression models, reporting prevalence ratios (PRs) and their respective 95% CI. Results: Data from 8587 subjects were analysed; mean age was 38.4 (SD: 13.5) and 53.6% were females. The prevalence of obesity was 16.3% (95% CI: 15.2–17.5%) by BMI, 58.5% (95% CI: 56.9–60.0%) by WC, and 78.0% (95% CI: 76.5–79.3%) by WHR. In the multivariable model, subjects reporting a sitting time of 8+ hours/day were more likely to be obese than those reporting <4 hours/day according to BMI (PR: 1.38; 95% CI: 1.15–1.65), WC (PR: 1.20; 95% CI: 1.12–1.28) and WHR (PR: 1.05; 95% CI: 1.01–1.10). Conclusions: Subjects with greater sitting time were more likely to be obese, and this association was evident with three different anthropometric indicators. Findings suggest the need of generating public health actions to reduce sedentary behaviour. [ABSTRACT FROM AUTHOR]

Objectives: In the last decade, Latin American (LA) countries, like Peru, have undergone an epidemiological transition that has changed the pattern of oncological cases. Given that Peru's oncological pattern could illustrate those of other LA countries, we aimed at determining trends and changes in cancer-related mortality by age and sex in Peru between 2003 and 2016. Methods and results: A secondary data analysis using national deaths registries was conducted. Categories were created according to the 27 most frequent sites of presentation of cancer. We found that deaths attributed to cancer increased from 15.4% of all deaths in 2003 to 18.1% in 2016 (p<0.001). According to the cancer site, stomach cancer (19.1%) and lung cancer (11.5%) were the most frequent causes of death overall. In childhood (0 to 14 years), the two most frequent fatal cancers were leukemia (54.6% for boys and 53.5% for girls) and brain and nervous system tumors (19.4% for boys and 20.3% for girls). For teenagers and young male adults (15–49 years), stomach cancer (18.1%) and brain cancer (17.4%) were the leading causes of death; in their female counterparts, cervix uteri (20.0%) and breast cancer (16.1%) were the most mortal cancers. In adults (≥50 years), stomach (20.9% for men and 18.6% for women) and lung (12.7% for men and 10.4% for women) were the leading contributors to the burden of cancer deaths. Conclusions: Between the years 2003 and 2016, almost one fifth of deaths were attributed to cancer in Peru. Absolute and relative number of deaths due to cancer has increased in this period for both men and women; however, standardized mortality rates due to cancer have declined. [ABSTRACT FROM AUTHOR]

Context: Observational studies investigating household air pollution (HAP) exposure to biomass fuel smoke as a risk factor for pulmonary tuberculosis have reported inconsistent results. Objective: To evaluate the association between HAP exposure and the prevalence of self-reported previous pulmonary tuberculosis. Design: We analyzed pooled data including 12,592 individuals from five population-based studies conducted in Latin America, East Africa, and Southeast Asia from 2010 to 2015. We used multivariable logistic regression to model the association between HAP exposure and self-reported previous pulmonary tuberculosis adjusted for age, sex, tobacco smoking, body mass index, secondary education, site and country of residence. Results: Mean age was 54.6 years (range of mean age across settings 43.8–59.6 years) and 48.6% were women (range of % women 38.3–54.5%). The proportion of participants reporting HAP exposure was 38.8% (range in % HAP exposure 0.48–99.4%). Prevalence of previous pulmonary tuberculosis was 2.7% (range of prevalence 0.6–6.9%). While participants with previous pulmonary tuberculosis had a lower pre-bronchodilator FEV1 (mean − 0.7 SDs, 95% CI − 0.92 to − 0.57), FVC (− 0.52 SDs, 95% CI − 0.69 to − 0.33) and FEV1/FVC (− 0.59 SDs, 95% CI − 0.76 to − 0.43) as compared to those who did not, we did not find an association between HAP exposure and previous pulmonary tuberculosis (adjusted odds ratio = 0.86; 95% CI 0.56–1.32). Conclusions: There was no association between HAP exposure and self-reported previous pulmonary tuberculosis in five population-based studies conducted worldwide. [ABSTRACT FROM AUTHOR]

Objective: To characterize the prevalence and clustering of multimorbidity in four diverse geographical settings in Peru. Methods: Multimorbidity, defined as having ≤2 chronic conditions, was studied in adults aged ≤35 years in four diverse settings in Peru: Lima, Tumbes, and urban and rural Puno. Six of these conditions (alcohol disorder, asthma, chronic obstructive pulmonary disease, depression, diabetes, and hypertension) were cataloged as objectively ascertained chronic conditions and paired in dyads to explore clusters of multimorbidity. Results: We analyzed data from 2890 adults, mean age 55.2 years, 49% males. Overall, 19.1% of participants had multimorbidity, ranging from 14.7% in semi-urban Tumbes to 22.8% in Lima. The dyads with the highest coexistence (approximately 20%) were observed in hypertension and diabetes in Tumbes, whereas the dyads with lowest coexistence (approximately 1%) were those involving asthma in all study sites. In terms of clusters, Tumbes showed a predominance of hypertension and diabetes, urban and rural Puno a predominance of depression and alcohol disorders, and Lima a higher degree of coexistence of all of the six conditions than in the other clusters. Conclusion: Multimorbidity is common and the pattern of clusters is highly heterogeneous. The conditions to prioritize will vary in each setting. [ABSTRACT FROM AUTHOR]

Objective. To synthetize the scientific evidence on the association between serum lipids and premature mortality in Latin America (LA). Methods. Five data bases were searched from inception without language restrictions: Embase, Medline, Global Health, Scopus and LILACS. Population-based studies following random sampling methods were identified. The exposure variable was lipid biomarkers (e.g., total, LDL- or HDL- cholesterol). The outcome was all-cause and cause-specific mortality. The risk of bias was assessed following the Newcastle-Ottawa criteria. Results were summarized qualitatively. Results. The initial search resulted in 264 abstracts, five (N = 27,903) were included for the synthesis. Three papers reported on the same study from Puerto Rico (baseline in 1965), one was from Brazil (1996) and one from Peru (2007). All reports analysed different exposure variables and used different risk estimates (relative risks, hazard ratios or odds ratios). None of the reviewed reports showed strong association between individual lipid biomarkers and all-cause or cardiovascular mortality. Conclusion. The available evidence is outdated, inconsistently reported on several lipid biomarker definitions and used different methods to study the long-term mortality risk. These findings strongly support the need to better ascertain the mortality risk associated with lipid biomarkers in LA. [ABSTRACT FROM AUTHOR]

The relationship of body mass index (BMI) with lung function and COPD has been previously described in several high-income settings. However, few studies have examined this relationship in resource-limited settings where being underweight is more common. We evaluated the association between BMI and lung function outcomes across 14 diverse low- and middle-income countries. We included data from 12,396 participants aged 35–95 years and used multivariable regressions to assess the relationship between BMI with either COPD and lung function while adjusting for known risk factors. An inflection point was observed at a BMI of 19.8 kg/m2. Participants with BMI < 19.8 kg/m2 had a 2.28 greater odds (95% CI 1.83–2.86) of having COPD and had a 0.21 (0.13–0.30) lower FEV1 and 0.34 (0.27–0.41) lower FEV1/FVC z-score compared to those with BMI ≥ 19.8 kg/m2. The association with lung function remained even after excluding participants with COPD. Individuals with lower BMI were more likely to have COPD and had lower lung function compared to those in higher BMI. The association with lung function remained positive even after excluding participants with COPD, suggesting that being underweight may also play a role in having worse lung function. [ABSTRACT FROM AUTHOR]

Aims. Prognostic thresholds to identify new type 2 diabetes mellitus (T2DM) cases using the HOMA-IR have not been defined. We studied the HOMA-IR performance to identify incident T2DM cases and to assess if the thresholds varied according to urbanization and altitude in Peru. Methods. Longitudinal analysis. The outcome was incident T2DM cases: self-report diagnosis and fasting glucose. The exposure was the HOMA-IR. Receiver operating characteristic (ROC) curves were plotted, and the area under the ROC curve (AUC) was estimated with 95% confidence intervals (95% CIs). Results are presented overall and stratified by study site (Lima, Tumbes, urban Puno, and rural Puno), rurality (urban, semiurban, and rural), and altitude (low and high). Results. A total of 3120 participants (mean age: 55.6 years, 51.2% females) contributed data to this analysis. The median baseline HOMA-IR was 1.7 (IQR 1.0–2.9), with median values ranging from 1.1 in rural Puno to 2.0 in Lima and Tumbes (p<0.001). Overall for incident T2DM, the AUC was 0.69 (95% CI: 0.64–0.74) with an empirical threshold of 2.8 yielding a positive likelihood ratio of 2.30 and a negative one of 0.61; the positive and negative predictive values were 14.6% and 95.7%, respectively. The empirical thresholds varied within the variables of interest, for example, from 0.9 in urban Puno to 2.9 in Lima. Conclusions. Using the HOMA-IR to identify incident T2DM cases seems to yield moderate accuracy. The HOMA-IR could help improve identifying people at high risk of T2DM. [ABSTRACT FROM AUTHOR]

Background: Chronic lung disease is a leading contributor to the global disease burden; however, beyond tobacco smoke, we do not fully understand what risk factors contribute to lung function decline in low-income and middle-income countries.Methods: We collected sociodemographic and clinical data in a randomly selected, age-stratified, sex-stratified and site-stratified population-based sample of 3048 adults aged ≥35 years from four resource-poor settings in Peru. We assessed baseline and annual pre-bronchodilator and post-bronchodilator lung function over 3 years. We used linear mixed-effects models to assess biological, socioeconomic and environmental risk factors associated with accelerated lung function decline.Results: Mean±SD enrolment age was 55.4±12.5 years, 49.2% were male and mean follow-up time was 2.36 (SD 0.61) years. Mean annual pre-bronchodilator FEV1 decline was 30.3 mL/year (95% CI 28.6 to 32.0) and pre-bronchodilator FVC decline was 32.2 mL/year (30.0 to 34.4). Using multivariable linear mixed-effects regression, we found that urban living, high-altitude dwelling and having hypertension accounted for 25.9% (95% CI 15.7% to 36.1%), 21.3% (11.1% to 31.5%) and 15.7% (3.7% to 26.9%) of the overall mean annual decline in pre-bronchodilator FEV1/height2, respectively. Corresponding estimates for pre-bronchodilator FVC/height2 were 42.1% (95% CI% 29.8% to 54.4%), 36.0% (23.7% to 48.2%) and 15.8% (2.6% to 28.9%) of the overall mean annual decline, respectively.Conclusion: Urbanisation, living at high altitude and hypertension were associated with accelerated lung function decline in a population with low daily smoking prevalence. [ABSTRACT FROM AUTHOR]

Background: The underlying cause of death is used to study country and global mortality trends and profiles. The final cause of death could also inform the ultimately cause of death in individuals with underlying conditions. Whether there is a pattern between the underlying and final cause of death has not been explored using national death registries. We studied what final causes of death were most common among selected underlying causes using national death registries in Peru, 2015. Methods: Underlying and final causes of death were classified according to their ICD-10 codes. Underlying causes included chronic kidney disease (CKD), chronic obstructive pulmonary disease (COPD), hypertension (HTN), diabetes, and selected cancers (cervix, breast, stomach, prostate, and lung). Final causes were categorized as: communicable, cardiovascular, and cancers. Descriptive statistics were used. Results: A total of 77,065 death registries were analyzed; cases had a mean age of 69.4 (SD: 19.3) years at death and were mostly men (53.9%). When the underlying cause was HTN, the most frequent final cause was cardiovascular diseases (82.3%). For all the other underlying causes, the most frequent final cause was communicable diseases: COPD (86.4%), CKD (79.3%), cancer (76.5%), and diabetes (68.3%). Conclusions: In four selected underlying causes of death there was a divergence with respect to the final cause, suggesting there was a shift from non-communicable to communicable causes. Although efforts should be deployed to prevent underlying non-communicable diseases, potential communicable complications should not be neglected. [ABSTRACT FROM AUTHOR]

Background: The prevalence of and factors associated with ideal cardiovascular health (ICH) by sociodemographic characteristics in Peru is not well known.Methods: The American Heart Association's ICH score comprised 3 ideal health factors (blood pressure, untreated total cholesterol and glucose) and 4 ideal health behaviours (smoking, body mass index, high physical activity and fruit and vegetable consumption). ICH was having 5 to 7 of the ideal health metrics. Baseline data from the Center of Excellence in Chronic Diseases, a prospective cohort study in adults aged ≥35 years in 4 Peruvian settings, was used (n=3058).Results: No one met all 7 of ICH metrics while 322 (10.5%) had ≤1 metric. Fasting plasma glucose was the most prevalent health factor (72%). Overall, compared with ages 35-44 years, the 55-64 years age group was associated with a lower prevalence of ICH (prevalence ratio 0.54, 95% CI 0.40 to 0.74, P<0.001). Compared with those in the lowest tertile of socioeconomic status, those in the middle and highest tertiles were less likely to have ICH after adjusting for sex, age and education (P<0.001).Conclusion: There is a low prevalence of ICH. This is a benchmark for the prevalence of ICH factors and behaviours in a resource-poor setting. [ABSTRACT FROM AUTHOR]

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Purpose: Body composition is known to influence the development and progression of chronic respiratory diseases (CRDs). We sought to characterize the unique anthropometric phenotypes that present with asthma, chronic obstructive pulmonary disease (COPD), and chronic bronchitis across four distinct settings in Peru.Methods: We collected sociodemographic, clinical history, and spirometry data from 2959 participants from Lima, Tumbes, and rural and urban Puno. We compared the prevalence of CRDs among different study sites and described disease phenotypes. We used single and multivariable linear regression to model the influence of CRD status on various descriptors of body composition.Results: Overall prevalence of CRDs varied across sites with the highest prevalence of asthma in Lima (14.5%) and the highest prevalence of COPD in rural Puno (9.9%). Measures of body composition also varied across sites, with highest mean body mass index (BMI) in Lima (28.4 kg/m2) and the lowest mean BMI in rural Puno (25.2 kg/m2). Participants with COPD had the lowest mean fat mass index (FMI) (10.5 kg/m2) and waist circumference (88.3 cm), whereas participants with asthma had the highest mean FMI (14.5 kg/m2), and waist circumference (94.8 cm). In multivariable analysis, participants with COPD had a lower waist circumference (adjusted mean − 2.97 cm, 95% CI 4.62 to − 1.32 cm) when compared to non-CRD participants.Conclusions: Our findings provide evidence that asthma and chronic bronchitis are more likely to be associated with obesity and higher fat mass, while COPD is associated with being underweight and having less lean mass. [ABSTRACT FROM AUTHOR]

Objectives: This study aimed to assess the association between perceived social support and induced abortion among young women in Lima, Peru. In addition, prevalence and incidence of induced abortion was estimated. Methods/Principal findings: A cross-sectional study enrolling women aged 18–25 years from maternal health centers in Southern Lima, Peru, was conducted. Induced abortion was defined as the difference between the total number of pregnancies ended in abortion and the number of spontaneous abortions; whereas perceived social support was assessed using the DUKE-UNC scale. Prevalence and incidence of induced abortion (per 100 person-years risk) was estimated, and the association of interest was evaluated using Poisson regression models with robust variance. A total of 298 women were enrolled, mean age 21.7 (± 2.2) years. Low levels of social support were found in 43.6% (95%CI 38.0%–49.3%), and 17.4% (95%CI: 13.1%– 21.8%) women reported at least one induced abortion. The incidence of induced abortion was 2.37 (95%CI: 1.81–3.11) per 100 person-years risk. The multivariable model showed evidence of the association between low perceived social support and induced abortion (RR = 1.94; 95%CI: 1.14–3.30) after controlling for confounders. Conclusions: There was evidence of an association between low perceived social support and induced abortion among women aged 18 to 25 years. Incidence of induced abortion was similar or even greater than rates of countries where abortion is legal. Strategies to increase social support and reduce induced abortion rates are needed. [ABSTRACT FROM AUTHOR]

Objectives: Different studies have reported the association between perceived stress and unhealthy diet choices. We aimed to determine whether there is a relationship between perceived stress and fat intake among undergraduate medical students. Methods/Principal findings: A cross-sectional study was performed including first-year medical students. The outcome of interest was the self-report of fat intake assessed using the Block Screening Questionnaire for Fat Intake (high vs. low intake), whereas the exposure was perceived stress (low/normal vs. high levels). The prevalence of high fat intake was estimated and the association of interest was determined using prevalence ratios (PR) and 95% confidence intervals (95%CI). Models were created utilizing Poisson regression with robust standard errors. Data from 523 students were analyzed, 52.0% female, mean age 19.0 (SD 1.7) years. The prevalence of high fat intake was 42.4% (CI: 38.2%–46.7%). In multivariate model and compared with those with lowest levels of stress, those in the middle (PR = 1.59; 95%CI: 1.20–2.12) and highest (PR = 1.92; 95%CI: 1.46–2.53) categories of perceived stress had greater prevalence of fat intake. Gender was an effect modifier of this association (p = 0.008). Conclusions: Greater levels of perceived stress were associated with higher fat intake, and this association was stronger among males. More than 40% of students reported having high fat consumption. Our results suggest the need to implement strategies that promote decreased fat intake. [ABSTRACT FROM AUTHOR]

Rationale: Forty percent of households worldwide burn biomass fuels for energy, which may be the most important contributor to household air pollution.Objectives: To examine the association between household air pollution exposure and chronic obstructive pulmonary disease (COPD) outcomes in 13 resource-poor settings.Methods: We analyzed data from 12,396 adult participants living in 13 resource-poor, population-based settings. Household air pollution exposure was defined as using biomass materials as the primary fuel source in the home. We used multivariable regressions to assess the relationship between household air pollution exposure and COPD outcomes, evaluated for interactions, and conducted sensitivity analyses to test the robustness of our findings.Measurements and Main Results: Average age was 54.9 years (44.2-59.6 yr across settings), 48.5% were women (38.3-54.5%), prevalence of household air pollution exposure was 38% (0.5-99.6%), and 8.8% (1.7-15.5%) had COPD. Participants with household air pollution exposure were 41% more likely to have COPD (adjusted odds ratio, 1.41; 95% confidence interval, 1.18-1.68) than those without the exposure, and 13.5% (6.4-20.6%) of COPD prevalence may be caused by household air pollution exposure, compared with 12.4% caused by cigarette smoking. The association between household air pollution exposure and COPD was stronger in women (1.70; 1.24-2.32) than in men (1.21; 0.92-1.58).Conclusions: Household air pollution exposure was associated with a higher prevalence of COPD, particularly among women, and it is likely a leading population-attributable risk factor for COPD in resource-poor settings. [ABSTRACT FROM AUTHOR]

Despite the negative effects of high sodium and low potassium consumption on cardiovascular health, their consumption has not been quantified in sites undergoing urbanization. We aimed to determine the sodium and potassium consumption in a semi-urban area in Peru with a cross-sectional study. 24-h urine samples were collected. The outcomes were mean consumption of sodium and potassium, as well as adherence to their consumption recommendation: <2 g/day and ≥3.51 g/day, respectively. Bivariate analyses were conducted to identify socio-economic and clinical variables associated with the consumption recommendations of 602 participants, complete urine samples were found in 409: mean age of participants was 45.7 (standard deviation (SD): 16.2) years and 56% were women. The mean sodium and potassium consumption was 4.4 (SD: 2.1) and 2.0 (SD: 1.2) g/day. The sodium and potassium recommendation was met by 7.1% and 13.7% of the study sample; none of the participants met both recommendations. People not adherent to the sodium recommendation had higher diastolic (73.1 mmHg vs. 68.2 mmHg, p = 0.015) and systolic (113.1 mmHg vs. 106.3 mmHg, p = 0.047) blood pressure than those who comply with the recommendation. Public health actions ought to be implemented in areas undergoing urbanization to improve sodium and potassium consumption at the population level. [ABSTRACT FROM AUTHOR]

Purpose: To evaluate the role of urbanization as an effect modifier for the association between specific chronic conditions and number of conditions with health-related quality of life (QOL).Methods: We analyzed cross-sectional data from the CRONICAS Cohort Study conducted in Lima (highly urbanized), Tumbes (semi-urban), as well as rural and urban sites in Puno. Exposures of interest were chronic bronchitis, depressive mood, hypertension, type 2 diabetes, and a composite variable aggregating the number of chronic conditions (the four exposures plus heart disease and stroke). QOL outcomes were assessed with EuroQol's EQ-5D visual analogue scale (EQ-VAS). We fitted linear regressions with robust variance to evaluate the associations of interest. Study site was assessed as a potential effect modifier using the likelihood-ratio (LR) test.Results: We evaluated data on 2433 subjects: 51.3% were female, mean age was 57.2 years. Study site was found to be an effect modifier only for the association between depressive mood and EQ-VAS score (LR test p < 0.001). Compared to those without depressive mood, participants with depressive mood scored -13.7 points on the EQ-VAS in Lima, -7.9 in urban Puno, -11.0 in semi-urban Tumbes, and -2.7 in rural Puno. Study site was not found to be an effect modifier for the association between the number of chronic conditions and EQ-VAS (LR test p = 0.64).Conclusion: The impact of depressive mood on EQ-VAS was larger in urban than in rural sites, while site was not an effect modifier for the remaining associations. [ABSTRACT FROM AUTHOR]

Background: Chronic Kidney Disease (CKD) represents a great burden for the patient and the health system, particularly if diagnosed at late stages. Consequently, tools to identify patients at high risk of having CKD are needed, particularly in limited-resources settings where laboratory facilities are scarce. This study aimed to develop a risk score for prevalent undiagnosed CKD using data from four settings in Peru: a complete risk score including all associated risk factors and another excluding laboratory-based variables.Methods: Cross-sectional study. We used two population-based studies: one for developing and internal validation (CRONICAS), and another (PREVENCION) for external validation. Risk factors included clinical- and laboratory-based variables, among others: sex, age, hypertension and obesity; and lipid profile, anemia and glucose metabolism. The outcome was undiagnosed CKD: eGFR < 60 ml/min/1.73m2. We tested the performance of the risk scores using the area under the receiver operating characteristic (ROC) curve, sensitivity, specificity, positive/negative predictive values and positive/negative likelihood ratios.Results: Participants in both studies averaged 57.7 years old, and over 50% were females. Age, hypertension and anemia were strongly associated with undiagnosed CKD. In the external validation, at a cut-off point of 2, the complete and laboratory-free risk scores performed similarly well with a ROC area of 76.2% and 76.0%, respectively (P = 0.784). The best assessment parameter of these risk scores was their negative predictive value: 99.1% and 99.0% for the complete and laboratory-free, respectively.Conclusions: The developed risk scores showed a moderate performance as a screening test. People with a score of ≥ 2 points should undergo further testing to rule out CKD. Using the laboratory-free risk score is a practical approach in developing countries where laboratories are not readily available and undiagnosed CKD has significant morbidity and mortality. [ABSTRACT FROM AUTHOR]

Objectives: The EZSCAN is a non-invasive device that, by evaluating sweat gland function, may detect subjects with type 2 diabetes mellitus (T2DM). The aim of the study was to conduct a systematic review and meta-analysis including studies assessing the performance of the EZSCAN for detecting cases of undiagnosed T2DM. Methodology/Principal findings: We searched for observational studies including diagnostic accuracy and performance results assessing EZSCAN for detecting cases of undiagnosed T2DM. OVID (Medline, Embase, Global Health), CINAHL and SCOPUS databases, plus secondary resources, were searched until March 29, 2017. The following keywords were utilized for the systematic searching: type 2 diabetes mellitus, hyperglycemia, EZSCAN, SUDOSCAN, and sudomotor function. Two investigators extracted the information for meta-analysis and assessed the quality of the data using the Revised Version of the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) checklist. Pooled estimates were obtained by fitting the logistic-normal random-effects model without covariates but random intercepts and using the Freeman-Tukey Arcsine Transformation to stabilize variances. Heterogeneity was also assessed using the I2 measure. Four studies (n = 7,720) were included, three of them used oral glucose tolerance test as the gold standard. Using Hierarchical Summary Receiver Operating Characteristic model, summary sensitivity was 72.0% (95%CI: 60.0%– 83.0%), whereas specificity was 56.0% (95%CI: 38.0%– 74.0%). Studies were very heterogeneous (I2 for sensitivity: 79.2% and for specificity: 99.1%) regarding the inclusion criteria and bias was present mainly due to participants selection. Conclusions: The sensitivity of EZSCAN for detecting cases of undiagnosed T2DM seems to be acceptable, but evidence of high heterogeneity and participant selection bias was detected in most of the studies included. More studies are needed to evaluate the performance of the EZSCAN for undiagnosed T2DM screening, especially at the population level. [ABSTRACT FROM AUTHOR]

Objectives: Among different factors, diet patterns seem to be related to depression. The aim of this study was to evaluate the association between the consumption of fruits and/or vegetables and depressive symptoms. Methodology/Principal findings: A secondary data analysis was conducted using information from a population-based survey from 25 regions from Peru. The outcome was the presence of depressive symptoms according to the Patient Health Questionnaire (cutoff ≥15 to define major depressive syndrome); whereas the exposure was the self-reported consumption of fruits and/or vegetables (in tertiles and using WHO recommendation ≥5 servings/day). The association of interest was evaluated using Poisson regression models controlling for the complex-sample survey design and potential confounders. Data from 25,901 participants were analyzed, mean age 44.2 (SD: 17.7) and 13,944 (54.0%) women. Only 910 (3.8%; 95%CI: 3.5%–4.2%) individuals reported consuming ≥5 servings of fruits and/or vegetables/day; whereas 819 (2.8%; 95%CI: 2.5%–3.1%) had depressive symptoms. Those in the lowest tertile of fruits and/or vegetables consumption had greater prevalence of depressive symptoms (PR = 1.88; 95%CI: 1.39–2.55) than those in the highest tertile. This association was stronger with fruits (PR = 1.92; 95%CI: 1.46–2.53) than vegetables (PR = 1.42; 95%CI: 1.05–1.93) alone. Conclusions: An inverse relationship between consumption of fruits and/or vegetables and depressive symptoms is reported. Less than 5% of subjects reported consuming the amount of fruits and vegetables recommended by the WHO. There is a need to implement strategies to promote better diet patterns with potential impact on mental health. [ABSTRACT FROM AUTHOR]

Plagiarism is a serious, yet widespread type of research misconduct, and is often neglected in developing countries. Despite its far-reaching implications, plagiarism is poorly acknowledged and discussed in the academic setting, and insufficient evidence exists in Latin America and developing countries to inform the development of preventive strategies. In this context, we present a longitudinal case study of seven instances of plagiarism and cheating arising in four consecutive classes (2011-2014) of an Epidemiology Masters program in Lima, Peru, and describes the implementation and outcomes of a multifaceted, 'zero-tolerance' policy aimed at introducing research integrity. Two cases involved cheating in graded assignments, and five cases correspond to plagiarism in the thesis protocol. Cases revealed poor awareness of high tolerance to plagiarism, poor academic performance, and widespread writing deficiencies, compensated with patchwriting and copy-pasting. Depending on the events' severity, penalties included course failure (6/7) and separation from the program (3/7). Students at fault did not engage in further plagiarism. Between 2011 and 2013, the Masters program sequentially introduced a preventive policy consisting of: (i) intensified research integrity and scientific writing education, (ii) a stepwise, cumulative writing process; (iii) honor codes; (iv) active search for plagiarism in all academic products; and (v) a 'zero-tolerance' policy in response to documented cases. No cases were detected in 2014. In conclusion, plagiarism seems to be widespread in resource-limited settings and a greater response with educational and zero-tolerance components is needed to prevent it. [ABSTRACT FROM AUTHOR]

Background: A recent study found lower self-reported prevalence of tobacco smoking in a peri-urban area of Lima, Peru than previously reported in urban samples. These regions encompass substantial proportions of Peru's population -- ones at greater risk of disease due to reduced healthcare access -- but have been less often studied. We validate low smoking prevalence with urine cotinine and characterize chronic disease and lung function outcomes between non-, occasional, and daily smokers. Methods: Data are from the CRONICAS Cohort Study, a population-based longitudinal study in four low-resource Peruvian settings, which began in 2010. Of a baseline cohort of 2978 adults, we prospectively followed 2583 (87%) to determine prevalence of chronic illness. Results: In a baseline sub-sample of 382 participants, median adjusted cotinine was 0.0 mcg/mg (IQR 0-0) for both self-reported non-smokers and occasional smokers compared to 172.3 mcg/mg (IQR 0-709.2) for daily smokers. Creatinine-adjusted cotinine validated daily smoking prevalence of 4.7% at a cutoff of 100 mcg/mg. Kappa statistic for daily smoking and creatinine- adjusted cotinine ≥100 mcg/mg was 0.65 (95% CI 0.47, 0.83), indicating substantial agreement. At baseline, we found 3.3% daily and 8.9% occasional smoking by self-report for the full cohort. Follow-up indicated little difference in chronic disease prevalence between groups. Daily smokers trended toward having a greater decline in FVC (-1%; 95% CI -2.9, 0.8) and FEV1 (-1.3%; 95% CI -3.2, 0.6) over 40 months when compared to non-smokers, whereas the decline in lung function for occasional smokers was similar compared to non-smokers (-0.2% FVC; 95% CI -1.5, 1.0) and (0% FEV1; 95% CI -1.3, 1.3). Conclusions: Our data places Peru within a previously-described pattern of smoking found in much of Latin America, favoring occasional over daily smoking and low cigarette consumption. We determine that there are not significant differences between smoking groups concerning chronic disease outcomes. We favor distinguishing between daily and occasional smokers in order to accurately characterize these low-use populations. [ABSTRACT FROM AUTHOR]