The association between ownership of common householddevices and obesity and diabetes in high, middle and lowincome countries
Lear, Scott A; Teo, Koon; Zhang, Xiaohe; Rangarajan, Sumathy; Anand, Sonia S; Yusuf, Salim; Gasevic, Danijela; Poirier, Paul P; Seron, Pamela; Kelishadi, Roya; Tamil, Azmi Mohd; Kruger, Annamarie; Iqbal, Romaina; Swidan, Hani; Arbeláez, Diego Gómez; Yusuf, Rita; Chifamba, Jephat; Kutty, V Raman; Karsıdag, Kubilay; Kumar, Rajesh; Li, Wei; Szuba, Andrzej; Avezum, Alvaro; Diaz, Rafael; Rosengren, Annika.
CMJA
; 186(04): 258-266, 2014. ilus
Artículo
en Inglés
| SES-SP, SESSP-IDPCPROD, SES-SP | ID: biblio-1061712
Household devices (e.g., television,car, computer) are common in highincome 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.We performed a cross sectional analysis using data from the Prospective UrbanRural 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.Ownership of a household deviceincreased 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 indexand waist circumference. There was anincreased 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] 1.321.55;diabetes OR 1.38, 95% CI 1.281.50). Ownership of a second device increased the odds further but ownership of a third device did not. Subsequentadjustment for lifestyle factors modestlyattenuated these associations. Of the 3 devices, ownership of a television had the strongest association with obesity (OR 1.39, 95% CI 1.291.49) and diabetes (OR 1.33, 95% CI 1.231.44).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 OR1.97, 95% CI 1.532.53) and ecreased through country income levels such that we did not detect an association in high income countries...
Biblioteca responsable:
BR79.1
Ubicación: BR79.1
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