ABSTRACT
Background: Weight and waist gain are significant concerns in adulthood. Both weight and waist gain are particularly important among South Asians, known to have an increased risk of developing chronic cardiometabolic complications at any body mass index compared to other racial and ethnic groups. The aim of this study was to investigate factors predicting weight and waist gain in a longitudinal cohort of South Asians living in the US (United States). Methods: This was a prospective analysis using data from exam 1 (2010-2013) and exam 2 (2015-2018) of the Mediators of Atherosclerosis in South Asians Living in America (MASALA) study, a prospective cohort study of South Asians (recruited from San Francisco and Chicago), with a mean 4.8 years of follow-up. Results: Of 634 participants studied (42.7 % women, mean age 55 years, BMI 25.7 kg/m2, weight 70.4 kg at exam 1), 34.7 % had gained ≥5 % weight and 32.3 % gained ≥5 % waist at exam 2. In the adjusted models, older age, higher number of years of US residence, and having diabetes were associated with lower odds of weight gain; being female and having higher adiponectin were associated with higher odds of weight gain. Being female and being employed full/part time or being retired predicted lower likelihood of waist gain. Being single, separated/divorced, having a higher leptin and a higher C-reactive protein level predicted higher likelihood of waist gain. Conclusions: The current study identified several social, demographic, and clinical factors that can serve as targets for obesity interventions among US South Asians. In addition, this study also raises hypotheses about associations of adipokine levels with weight and waist gain.
ABSTRACT
Background: Weight and waist gain are significant concerns in adulthood. Both weight and waist gain are particularly important among South Asians, a high-risk group known to develop chronic cardiometabolic complications at any body mass index compared to other racial and ethnic groups. Objective: The aim of this study was to investigate factors predicting weight and waist gain in a longitudinal cohort of US South Asians, a high-risk group for developing obesity-related complications. Methods: We used data from Mediators of Atherosclerosis in South Asians Living in America study (MASALA) exam 1 (2010-2013) and exam 2 (2015-2018), with a mean 4.8 years of follow-up. Results: Of 634 participants studied (42.7% women, mean age 55 years, BMI 25.7 kg/m2, weight 70.4 kg at exam 1), 34.7% had gained ≥5% weight and 32.3% gained ≥5% waist at exam 2. In the adjusted models, older age, higher number of years of US residence, and having diabetes were associated with lower odds of weight gain; being female and having higher adiponectin were associated with higher odds of weight gain. Being female, employed full or part time, or retired were associated with lower odds of waist gain. Being single, separated/divorced, having a higher leptin and a higher C-reactive protein level were associated with higher odds of waist gain. Conclusions: South Asian subgroups with higher risk of weight and/or waist gain may benefit from targeted interventions to improve health outcomes.
ABSTRACT
OBJECTIVE: To evaluate the association of sleep problems with weight and waist size gain during four years of follow-up. METHODS: We investigated 13,030 participants (35-74 years) of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), a multicentric cohort conducted with civil servants from six academic institutions recruited between 2008 and 2010. Sleep problems were assessed at baseline by the Clinical Interview Schedule - Revised (CIS-R), designed to detect common mental disorders based on somatic, depressive and anxiety symptoms. Weight and waist size were measured at baseline and at follow-up (2012-2014). Large weight and waist size gain were defined as ≥ 90th percentile (≥1.65 kg/year and ≥2.41 cm/year, respectively). RESULTS: Sleep problems were associated with higher risk of a large weight gain (RR = 1.11; 95% CI 1.01-1.24) and large waist size gain (RR = 1.19; 95% CI 1.07-1.32), adjusted for age, sex, ethnicity, income, educational level, investigation center, smoking, alcohol intake, dietary energy intake, leisure-time physical activity and body mass index (BMI) or waist circumference at baseline. After additional adjustment for common mental disorders the associations became non-significant (RR = 0.99; 95% CI 0.88-1.12; RR = 1.08; 95% CI 0.97-1.22, respectively). CONCLUSION: Sleep problems are associated with increased risk of developing large weight and waist size gain, but are not independently associated with common mental disorders.