Julio A. Poterico

The Association Between Socioeconomic Status and Obesity in Peruvian Women

Historically in developing countries, the prevalence of obesity has been greater in more advantaged socioeconomic groups. However, in recent years the association between socioeconomic status (SES) and obesity has changed and varies depending on the countrys development stage. This study examines the relationship between SES and obesity using two indicators of SES: education or possession assets. Using the cross‐sectional 2008 National Demographic and Family Health Survey of Peru (ENDES 2008), we investigated this relationship in women aged 15–49 years living in rural and urban settings. Descriptive, linear and logistic regressions analyses were conducted accounting for the multistage nature of the sampling design. The overall prevalence of obesity in this study was 14.1% (95% confidence interval (CI): 13.3–14.8); 8.4% (95% CI: 7.5–9.3) in rural areas and 16.2% (95% CI: 15.2–17.2) in urban areas. Wealthier women were more likely to be obese, and this association was stronger in rural areas. Conversely, more educated women were less likely to be obese, especially in urban areas. The distribution of obesity in Peruvian women is strongly related to socioeconomic position, and differs whether measured as possession assets or by level of education. These findings could have important implications for policy development in Peru.

Obesity risk in rural, urban and rural-to-urban migrants: prospective results of the PERU MIGRANT study

Background:Although migration and urbanization have been linked with higher obesity rates, especially in low-resource settings, prospective information about the magnitude of these effects is lacking. We estimated the risk of obesity and central obesity among rural subjects, rural-to-urban migrants and urban subjects.Methods:Prospective data from the PERU MIGRANT Study were analyzed. Baseline data were collected in 2007–2008 and participants re-contacted in 2012–2013. At follow-up, outcomes were obesity and central obesity measured by body mass index and waist circumference. At baseline, the primary exposure was demographic group: rural, rural-to-urban migrant and urban. Other exposures included an assets index and educational attainment. Cumulative incidence, incidence ratio (IR) and 95% confidence intervals (95% CI) for obesity and central obesity were estimated with Poisson regression models.Results:At baseline, mean age (±s.d.) was 47.9 (±12.0) years, and 53.0% were females. Rural subjects comprised 20.2% of the total sample, whereas 59.7% were rural-to-urban migrants and 20.1% were urban dwellers. A total of 3598 and 2174 person-years were analyzed for obesity and central obesity outcomes, respectively. At baseline, the prevalence of obesity and central obesity was 20.0 and 52.5%. In multivariable models, migrant and urban groups had an 8- to 9.5-fold higher IR of obesity compared with the rural group (IR migrants=8.19, 95% CI=2.72–24.67; IR urban=9.51, 95% CI=2.74–33.01). For central obesity, there was a higher IR only among the migrant group (IR=1.95; 95% CI=1.22–3.13). Assets index was associated with a higher IR of central obesity (IR top versus bottom tertile 1.45, 95% CI=1.03–2.06).Conclusions:Peruvian urban individuals and rural-to-urban migrants show a higher incidence of obesity compared with their rural counterparts. Given the ongoing urbanization occurring in middle-income countries, the rapid development of increased obesity risk by rural-to-urban migrants suggests that measures to reduce obesity should be a priority for this group.

Nutritional Transition in Children under Five Years and Women of Reproductive Age: A 15-Years Trend Analysis in Peru

Background Rapid urbanization, increase in food availability, and changes in diet and lifestyle patterns have been changing nutritional profiles in developing nations. We aimed to describe nutritional changes in children under 5 years and women of reproductive age in Peru, during a 15-year period of rapid economic development and social policy enhancement. Materials and Methods Trend analyses of anthropometric measures in children of preschool age and women between 15–49 years, using the Peruvian National Demographic and Family Health Surveys (DHS) from 1996 to 2011. WHO growth curves were used to define stunting, underweight, wasting and overweight in children <5y. We employed the WHO BMI-age standardized curves for teenagers between 15–19y. In women >19 years, body mass index (BMI) was analyzed both categorically and as a continuous variable. To statistically analyze the trends, we used regression models: Linear and Poisson for continuous and binary outcomes, respectively. Results We analyzed data from 123 642 women and 64 135 children, from 1996 to 2011. Decreases over time were evidenced for underweight (p<0.001), wasting (p<0.001), and stunting (p<0.001) in children under 5y. This effect was particularly noted in urban settings. Overweight levels in children reduced (p<0.001), however this reduction stopped, in urban settings, since 2005 (∼12%). Anemia decreased in children and women (p<0.001); with higher reduction in urban (↓43%) than in rural children (↓24%). BMI in women aged 15–19 years increased (p<0.001) across time, with noticeable BMI-curve shift in women older than 30 years. Moreover, obesity doubled during this period in women more than 19y. Conclusion Nutrition transition in Peru shows different patterns for urban and rural populations. Public policies should emphasize targeting both malnutrition conditions—undernutrition/stunting, overweight/obesity and anemia—considering age and place of residence in rapid developing societies like Peru.

Agreement Between Cardiovascular Disease Risk Scores in Resource-Limited Settings: Evidence from 5 Peruvian Sites.

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Asociación entre ver televisión y obesidad en mujeres peruanas

OBJETIVO: Evaluar la asociacion entre frecuencia de ver television, sobrepeso y obesidad en una muestra representativa de mujeres peruanas a nivel nacional. METODOS: Analisis secundario de la Encuesta Nacional Demografica y de Salud Familiar incluyendo mujeres de 15 a 49 anos. Las variables resultados fueron obesidad (indice de masa corporal >30 kg/m2) y sobrepeso (>25 peso <30 kg/m2); mientras que la exposicion fue la frecuencia de ver television (nunca, ocasionalmente, casi todos los dias). Se uso regresion logistica para analisis de muestras complejas segun el diseno de la encuesta ajustando por potenciales confusores. Los resultados fueron presentados como Odds Ratio ajustados (ORa) con sus respectivos intervalos de confianza al 95% (IC95%). RESULTADOS: Un total de 21.712 mujeres fueron incluidas en el analisis. La prevalencia de sobrepeso fue 34,7% (IC95% 33,8;35,7) y de obesidad fue 14,3% (IC95% 13,6;15,1). Las mujeres que veian television ocasionalmente y casi todos los dias tuvieron mayor probabilidad de tener obesidad: ORa 1,7 (IC95% 1,3;2,3) y ORa 2,6 (IC95% 2,0;3,5), respectivamente comparado con aquellas que nunca veian television. La magnitud de la asociacion fue menor para el caso de sobrepeso: ORa 1,2 (IC95% 1,3;2,3) y ORa 1,6 (IC95% 1,1;1,4), respectivamente. La fuerza de la asociacion fue mayor en el area urbana. CONCLUSIONES: En mujeres peruanas la frecuencia de ver television estuvo asociada con presentar obesidad y sobrepeso, y la fuerza de asociacion vario de acuerdo al area de residencia. Estos hallazgos deberian orientar las estrategias de prevencion de la obesidad en el contexto peruano.OBJECTIVE To assess the association between frequency of television viewing, overweight and obesity in a nationally representative sample of Peruvian women. METHODS Secondary analysis of the Demographic and Health Survey 2008 including women aged from 15 to 49 years old. The outcome variables were obesity (body mass index >30 kg/m²) and overweight (body mass index >25 but <30 kg/m²) whereas the exposure variable was frequency of television viewing (never, occasionally, almost every day). Logistic regression taking into account the multistage study design and adjusting for potential confounders was used. Results were presented as adjusted odds ratios (aOR) with 95% confidence intervals (95%CI). RESULTS A total of 21,712 women were included in the analysis. The prevalence of overweight was 34.7% (95%CI 33.8%;35.7%), and obesity prevalence was 14.3% (95%CI 13.6%;15.1%). Compared to women who never watched television, those who reported watching television occasionally and almost daily were more likely to be obese: aOR 1.7 (95%CI 1.3;-2.3) and aOR 2.6 (95%CI 2.0;3.5), respectively. The magnitude of this association was lower for overweight: aOR 1.2 (95CI 1.3;2.3) and aOR 1.6 (95%CI 1.1;1.4), respectively. The strength of the association was greater in urban areas. CONCLUSIONS Frequency of television viewing was associated with overweight and obesity in Peruvian women and the strength of this association varied by area of residence. These findings can provide input to strategies for obesity prevention in the Peruvian context.

Distribution of Short‐Term and Lifetime Predicted Risks of Cardiovascular Diseases in Peruvian Adults

Background Short-term risk assessment tools for prediction of cardiovascular disease events are widely recommended in clinical practice and are used largely for single time-point estimations; however, persons with low predicted short-term risk may have higher risks across longer time horizons. Methods and Results We estimated short-term and lifetime cardiovascular disease risk in a pooled population from 2 studies of Peruvian populations. Short-term risk was estimated using the atherosclerotic cardiovascular disease Pooled Cohort Risk Equations. Lifetime risk was evaluated using the algorithm derived from the Framingham Heart Study cohort. Using previously published thresholds, participants were classified into 3 categories: low short-term and low lifetime risk, low short-term and high lifetime risk, and high short-term predicted risk. We also compared the distribution of these risk profiles across educational level, wealth index, and place of residence. We included 2844 participants (50% men, mean age 55.9 years [SD 10.2 years]) in the analysis. Approximately 1 of every 3 participants (34% [95% CI 33 to 36]) had a high short-term estimated cardiovascular disease risk. Among those with a low short-term predicted risk, more than half (54% [95% CI 52 to 56]) had a high lifetime predicted risk. Short-term and lifetime predicted risks were higher for participants with lower versus higher wealth indexes and educational levels and for those living in urban versus rural areas (P<0.01). These results were consistent by sex. Conclusions These findings highlight potential shortcomings of using short-term risk tools for primary prevention strategies because a substantial proportion of Peruvian adults were classified as low short-term risk but high lifetime risk. Vulnerable adults, such as those from low socioeconomic status and those living in urban areas, may need greater attention regarding cardiovascular preventive strategies.

Rural-to-urban migration and risk of hypertension: longitudinal results of the PERU MIGRANT study.

Urbanization can be detrimental to health in populations due to changes in dietary and physical activity patterns. The aim of this study was to determine the effect of migration on the incidence of hypertension. Participants of the PERU MIGRANT study, that is, rural, urban and rural-to-urban migrants, were re-evaluated after 5 years after baseline assessment. The outcome was incidence of hypertension; and the exposures were study group and other well-known risk factors. Incidence rates, relative risks (RRs) and population attributable fractions (PAFs) were calculated. At baseline, 201 (20.4%), 589 (59.5%) and 199 (20.1%) participants were rural, rural-to-urban migrant and urban subjects, respectively. Overall mean age was 47.9 (s.d.±12.0) years, and 522 (52.9%) were female. Hypertension prevalence at baseline was 16.0% (95% confidence interval (CI) 13.7–18.3), being more common in urban group; whereas pre-hypertension was more prevalent in rural participants (P<0.001). Follow-up rate at 5 years was 94%, 895 participants were re-assessed and 33 (3.3%) deaths were recorded. Overall incidence of hypertension was 1.73 (95%CI 1.36–2.20) per 100 person-years. In multivariable model and compared with the urban group, rural group had a greater risk of developing hypertension (RR 3.58; 95%CI 1.42–9.06). PAFs showed high waist circumference as the leading risk factor for the hypertension development in rural (19.1%), migrant (27.9%) and urban (45.8%) participants. Subjects from rural areas are at higher risk of developing hypertension relative to rural–urban migrant or urban groups. Central obesity was the leading risk factor for hypertension incidence in the three population groups.

Association between television viewing and obesity in Peruvian women

OBJETIVO: Evaluar la asociacion entre frecuencia de ver television, sobrepeso y obesidad en una muestra representativa de mujeres peruanas a nivel nacional. METODOS: Analisis secundario de la Encuesta Nacional Demografica y de Salud Familiar incluyendo mujeres de 15 a 49 anos. Las variables resultados fueron obesidad (indice de masa corporal >30 kg/m2) y sobrepeso (>25 peso <30 kg/m2); mientras que la exposicion fue la frecuencia de ver television (nunca, ocasionalmente, casi todos los dias). Se uso regresion logistica para analisis de muestras complejas segun el diseno de la encuesta ajustando por potenciales confusores. Los resultados fueron presentados como Odds Ratio ajustados (ORa) con sus respectivos intervalos de confianza al 95% (IC95%). RESULTADOS: Un total de 21.712 mujeres fueron incluidas en el analisis. La prevalencia de sobrepeso fue 34,7% (IC95% 33,8;35,7) y de obesidad fue 14,3% (IC95% 13,6;15,1). Las mujeres que veian television ocasionalmente y casi todos los dias tuvieron mayor probabilidad de tener obesidad: ORa 1,7 (IC95% 1,3;2,3) y ORa 2,6 (IC95% 2,0;3,5), respectivamente comparado con aquellas que nunca veian television. La magnitud de la asociacion fue menor para el caso de sobrepeso: ORa 1,2 (IC95% 1,3;2,3) y ORa 1,6 (IC95% 1,1;1,4), respectivamente. La fuerza de la asociacion fue mayor en el area urbana. CONCLUSIONES: En mujeres peruanas la frecuencia de ver television estuvo asociada con presentar obesidad y sobrepeso, y la fuerza de asociacion vario de acuerdo al area de residencia. Estos hallazgos deberian orientar las estrategias de prevencion de la obesidad en el contexto peruano.OBJECTIVE To assess the association between frequency of television viewing, overweight and obesity in a nationally representative sample of Peruvian women. METHODS Secondary analysis of the Demographic and Health Survey 2008 including women aged from 15 to 49 years old. The outcome variables were obesity (body mass index >30 kg/m²) and overweight (body mass index >25 but <30 kg/m²) whereas the exposure variable was frequency of television viewing (never, occasionally, almost every day). Logistic regression taking into account the multistage study design and adjusting for potential confounders was used. Results were presented as adjusted odds ratios (aOR) with 95% confidence intervals (95%CI). RESULTS A total of 21,712 women were included in the analysis. The prevalence of overweight was 34.7% (95%CI 33.8%;35.7%), and obesity prevalence was 14.3% (95%CI 13.6%;15.1%). Compared to women who never watched television, those who reported watching television occasionally and almost daily were more likely to be obese: aOR 1.7 (95%CI 1.3;-2.3) and aOR 2.6 (95%CI 2.0;3.5), respectively. The magnitude of this association was lower for overweight: aOR 1.2 (95CI 1.3;2.3) and aOR 1.6 (95%CI 1.1;1.4), respectively. The strength of the association was greater in urban areas. CONCLUSIONS Frequency of television viewing was associated with overweight and obesity in Peruvian women and the strength of this association varied by area of residence. These findings can provide input to strategies for obesity prevention in the Peruvian context.

Parity and Overweight/Obesity in Peruvian Women

Introduction The rise in noncommunicable diseases and their risk factors in developing countries may have changed or intensified the effect of parity on obesity. We aimed to assess this association in Peruvian women using data from a nationally representative survey. Methods We used data from Peru’s Demographic and Health Survey, 2012. Parity was defined as the number of children ever born to a woman. We defined overweight as having a body mass index (BMI, kg/m2) of 25.0 to 29.9 and obesity as a BMI ≥30.0. Generalized linear models were used to evaluate the association between parity and BMI and BMI categories, by area of residence and age, adjusting for confounders. Results Data from 16,082 women were analyzed. Mean parity was 2.25 (95% confidence interval [CI], 2.17–2.33) among rural women and 1.40 (95% CI, 1.36–1.43) among urban women. Mean BMI was 26.0 (standard deviation, 4.6). We found evidence of an association between parity and BMI, particularly in younger women; BMI was up to 4 units higher in rural areas and 2 units higher in urban areas. An association between parity and BMI categories was observed in rural areas as a gradient, being highest in younger women. Conclusion We found a positive association between parity and overweight/obesity. This relationship was stronger in rural areas and among younger mothers.

La obesidad en el Perú: recomendaciones para un sistema de vigilancia

Sr. Editor, las enfermedades cronicas no transmisibles (ENT) constituyen la principal carga de enfermedad en el mundo, que afecta mas a paises de medianos y bajos ingresos. En la actualidad, las organizaciones internacionales exhortan la vigilancia de los factores de riesgo comunes a las ENT: la inactividad fisica, patrones de alimentacion, y consumo de tabaco y alcohol (1). El sobrepeso y la obesidad tambien forman parte de los pilares de la vigilancia de las ENT. La Organizacion Mundial de la Salud (OMS) sugiere el uso del indice de masa corporal (IMC) como un indicador de malnutricion en adultos, asi como otras referencias antropometricas para el caso de los ninos y adolescentes (1).