The objectives of this study were to assess the nutritional status of rural workers from a municipality in Southeastern Brazil and estimate the association of sociodemographic, labor, lifestyle, and dietary pattern factors with obesity and abdominal obesity of men and women of this rural area. This is a cross-sectional, epidemiological study of 740 farmers (51.5%, n = 381 males; 48.5%, n = 359 females). The sociodemographic, labor, lifestyle and dietary patterns determinants were assessed. Food intake data were obtained by applying three 24-hour recalls and dietary patterns were determined by Principal Component Analysis with Varimax orthogonal rotation. Poisson regression with robust variance stratified by sex was applied. The general prevalence of overweight status was 31.5% (95% CI 28.2–34.8%), 19.7% of obesity (95% CI 16.8–22.6%) and 31.5% of abdominal obesity (95% CI 28.2–34.8%), with higher rates in women (P < 0.001). Men of higher socioeconomic class had a 2.3 times higher prevalence of obesity (95% CI 1.08–4.90). In addition, the shorter travel time to purchase food increased the prevalence of abdominal obesity in males. For women, the older the age group, the greater the general and central obesity. A lower adherence to traditional dietary patterns (approximately PR [prevalence ratio] 1.6 for general obesity and PR 1.3 for abdominal obesity) and a greater number of places to buy food were associated with higher rates of obesity in women. Finally, women farmers with a higher workload had a 20% lower prevalence of central obesity (PR 0.80; 95% CI 0.65–0.97). Such findings demonstrate that obesity must be an issue in the health care of remote and rural populations. There is a need to promote healthier environments that respect traditional food culture through multiple approaches that consider the heterogeneity of rural areas and the differences between sexes.

Summary This study aimed to review and quantify the association between overweight and obesity in the risk of multimorbidity among the general population. We conducted a systematic review and meta‐analysis in the databases of Pubmed, Lilacs, Web of Science, Scopus, and Embase. We included cohort studies that assessed the association between overweight and/or obesity with the risk of multimorbidity. The Newcastle‐Ottawa assessed the studies' individual quality. A random‐effect model meta‐analysis was performed to evaluate the association between overweight and obesity with the relative risk (RR) of multimorbidity; the I2 test evaluated heterogeneity. After excluding duplicates, we found 1.655 manuscripts, of which eight met the inclusion criteria. Of these, seven (87.5%) evidenced an increased risk of multimorbidity among subjects with overweight and/or obesity. Overall, we observed an increased risk of multimorbidity among subjects with overweight (RR: 1.26; CI95%: 1.12; 1.40, I2 = 98%) and obesity (RR: 1.99; CI95%: 1.45;2.72, I2 = 99%) compared to normal weight. According to the I2 test, the heterogeneities of the meta‐analyses were high. The Newcastle‐Ottawa scale showed that all studies were classified as high quality. Further longitudinal studies are needed, including different populations and stratifications by sex, age, and other variables.

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Introduction: The individuals with chronic kidney disease show low adherence to a diet rich in vegetables. Objective: To evaluate the association of minimally processed and ultra-processed food consumption with socioeconomic factors, lifestyle habits, and clinical characteristics of hemodialysis service users in southeastern Brazilian. Methods: Cross-sectional study with 1,024 individuals on hemodialysis from southeastern Brazil. The individuals answered a questionnaire of sociodemographic data, lifestyle habits, and food consumption. After stipulating the frequency of consumption, we classified the foods as minimally processed and ultra-processed. We investigated the association between independent variables and the consumption of minimally processed and ultra-processed foods through the binary logistic regression model with Odds Ratio (OR) and their confidence intervals (95%CI). Results: Users with less than eight years of education (OR=1.706; 95%CI1.125–2.589) and with income less than two minimum wages (OR=1.349; 95%CI1.007–1.806) had lower consumption of minimally processed foods. However, individuals aged 19 to 29 years (OR=2,857, 95%CI1.464–5.576), smokers (OR=2.349; 95%CI1.237–4.462), drinkers (OR=1.835; 95%CI1.122–3.001), and with more than 6 years on hemodialysis (OR=1.975; 95%CI1.227–3.180) were more likely to have higher consumption of ultra-processed foods. Individuals that did not practice physical activity were less likely to this consumption (OR=0.638; 95%CI0.459–0.888). Conclusion: Being younger, smoking, consuming alcohol, and having been on hemodialysis for more than 6 years increased the chances of greater consumption of ultra-processed foods. In addition, we associated less education and lower income with a lower consumption of minimally processed foods.

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