Night work is related to higher global and central adiposity in Brazil: National Health Survey, 2013.

BACKGROUND: Night work can disturb the natural circadian rhythm, leading to disruptions in metabolic rate and subsequent overall gain weight or even more harmful abdominal adiposity. Our aims were to investigate the associations between night work frequency and markers of overall and central obesity. METHODS: We conducted a cross-sectional analysis of data from the Brazilian National Health Survey on over 35 500 current workers. Exposure to current night work was composed of three categories: daytime work (reference category), less than one night per week, and more than two nights per week. The body mass index and waist circumference were used as adiposity markers. Logistic and multinomial regression models were used, with adjustment for demographic characteristics, work conditions, self-related health, and health-related behaviors. RESULTS: After complete adjustment, individuals who worked two or more nights a week had higher odds of overweight (odds ratio [OR]: 1.20, 95% CI: 1.04-1.38), obesity (OR: 1.38, 95% CI: 1.17-1.64) and increased waist circumference (OR: 1.27, 95% CI: 1.10-1.46) than daytime workers. CONCLUSIONS: Night work was significantly associated with measures of adiposity. Changes in working conditions, such as controlling the numbers of nights worked per week or promoting workplaces with healthy meals and the opportunity to perform physical exercise at work, could be suggested.

Environmental Exposure to Pesticides and Breast Cancer in a Region of Intensive Agribusiness Activity in Brazil: A Case-Control Study.

Background: Breast cancer is a serious public health problem and is the second most prevalent cancer type in the world. The purpose of this article is to evaluate the association between pesticide use and breast cancer in a region of intense agribusiness activity in the state of Mato Grosso, Brazil. Methods: A case-control study was conducted on women living in the city of Rondonópolis, in the south of Mato Grosso state. There were 85 cases of women with confirmed breast cancer and 266 controls who were randomly selected from primary health care users. Bivariate and stratified analyses were performed. Multiple logistic regression was then performed, keeping in the final model the factors with a significance level lower than or equal to 0.05 or considered important according to apriori biological criteria. Results: In the final model, living near cropland with pesticides (OR: 2.37; CI: 95% 1.78-3.16) and women aged over 50 years who experienced early menarche (OR: 2.08; CI: 95% 1.06-4.12) had a higher risk of developing breast cancer compared to control subjects. Conclusion: This study highlights the importance of exposure to pesticides as an environmental risk factor for the development of breast cancer among women.