Browsing by Author "Rosengren, A"
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Item Psychosocial factors and obesity in 17 high-, middle- and low-income countries: the Prospective Urban Rural Epidemiologic study(INTERNATIONAL JOURNAL OF OBESITY, 2015) Rosengren, A; Teo, K; Rangarajan, S; Kabali, C; Khumalo, I; Kutty, VR; Gupta, R; Yusuf, R; Iqbal, R; Ismail, N; Altuntas, Y; Kelishadi, R; Diaz, R; Avezum, A; Chifamba, J; Zatonska, K; Wei, L; Liao, X; Lopez-Jaramillo, P; Yusufali, A; Seron, P; Lear, SA; Yusuf, SBACKGROUND/OBJECTIVES: Psychosocial stress has been proposed to contribute to obesity, particularly abdominal, or central obesity, through chronic activation of the neuroendocrine systems. However, these putative relationships are complex and dependent on country and cultural context. We investigated the association between psychosocial factors and general and abdominal obesity in the Prospective Urban Rural Epidemiologic study. SUBJECTS/METHODS: This observational, cross-sectional study enrolled 151 966 individuals aged 35-70 years from 628 urban and rural communities in 17 high-, middle- and low-income countries. Data were collected for 125 290 individuals regarding education, anthropometrics, hypertension/diabetes, tobacco/alcohol use, diet and psychosocial factors (self-perceived stress and depression). RESULTS: After standardization for age, sex, country income and urban/rural location, the proportion with obesity (body mass index. 30 kg m(-2)) increased from 15.7% in 40 831 individuals with no stress to 20.5% in 7720 individuals with permanent stress, with corresponding proportions for ethnicity-and sex-specific central obesity of 48.6% and 53.5%, respectively (P<0.0001 for both). Associations between stress and hypertension/diabetes tended to be inverse. Estimating the total effect of permanent stress with age, sex, physical activity, education and region as confounders, no relationship between stress and obesity persisted (adjusted prevalence ratio (PR) for obesity 1.04 (95% confidence interval: 0.99-1.10)). There was no relationship between ethnicity- and sex-specific central obesity (adjusted PR 1.00 (0.97-1.02)). Stratification by region yielded inconsistent associations. Depression was weakly but independently linked to obesity (PR 1.08 (1.04-1.12)), and very marginally to abdominal obesity (PR 1.01 (1.00-1.03)). CONCLUSIONS: Although individuals with permanent stress tended to be slightly more obese, there was no overall independent effect and no evidence that abdominal obesity or its consequences (hypertension, diabetes) increased with higher levels of stress or depression. This study does not support a causal link between psychosocial factors and abdominal obesity.Item The association between ownership of common household devices and obesity and diabetes in high, middle and low income countries(CANADIAN MEDICAL ASSOCIATION JOURNAL, 2014) Lear, SA; Teo, K; Gasevic, D; Zhang, XH; Poirier, PP; Rangarajan, S; Seron, P; Kelishadi, R; Tamil, AM; Kruger, A; Iqbal, R; Swidan, H; Gomez-Arbelaez, D; Yusuf, R; Chifamba, J; Kutty, VR; Karsidag, K; Kumar, R; Li, W; Szuba, A; Avezum, A; Diaz, R; Anand, SS; Rosengren, A; Yusuf, SBackground: Household devices (e.g., television, car, computer) are common in high income countries, and their use has been linked to obesity and type 2 diabetes mellitus. We hypothesized that device ownership is associated with obesity and diabetes and that these effects are explained through reduced physical activity, increased sitting time and increased energy intake. Methods: We performed a cross-sectional analysis using data from the Prospective Urban Rural Epidemiology study involving 153 996 adults from high, upper-middle, lower-middle and low income countries. We used multilevel regression models to account for clustering at the community and country levels. Results: Ownership of a household device increased from low to high income countries (4% to 83% for all 3 devices) and was associated with decreased physical activity and increased sitting, dietary energy intake, body mass index and waist circumference. There was an increased odds of obesity and diabetes with the ownership of any 1 household device compared to no device ownership (obesity: odds ratio [OR] 1.43, 95% confidence interval [CI] 1.32-1.55; diabetes: OR 1.38, 95% CI 1.28-1.50). Ownership of a second device increased the odds further but ownership of a third device did not. Subsequent adjustment for lifestyle factors modestly attenuated these associations. Of the 3 devices, ownership of a television had the strongest association with obesity (OR 1.39, 95% CI 1.29-1.49) and diabetes (OR 1.33, 95% CI 1.23-1.44). When stratified by country income level, the odds of obesity and diabetes when owning all 3 devices was greatest in low income countries (obesity: OR 3.15, 95% CI 2.33-4.25; diabetes: OR 1.97, 95% CI 1.53-2.53) and decreased through country income levels such that we did not detect an association in high income countries. Interpretation: The ownership of household devices increased the likelihood of obesity and diabetes, and this was mediated in part by effects on physical activity, sitting time and dietary energy intake. With increasing ownership of household devices in developing countries, societal interventions are needed to mitigate their effects on poor health.