OBJECTIVE: To analyse the association of time watching television (TV) and physical activity with obesity in the Mediterranean area of Spain with the highest prevalence of obesity. DESIGN: Cross-sectional study. SETTING: Valencia Region in Spain. PARTICIPANTS: A representative sample of 814 men and 958 women, aged 15 y and older, participating in a Health and Nutrition Survey conducted in 1994. MEASUREMENTS: Height and weight were directly measured during home interviews. The outcome measure was obesity, de®ned as a body mass index !30 kgam 2 . Covariates were self-reported hours of TV viewing, physical activity habits, sleeping duration, age, gender, educational level, smoking and marital status. Prevalence odds ratios (POR) estimated by logistic regression were used as effect measures. RESULTS: Obese people reported to spend more time watching TV (mean AE s.d.: 3.6 AE 1.5 haday) than non-obese ones (3.0 AE 1.4 haday), and less sleeping time. In multivariate analysis, obesity was associated with TV viewing, sleeping time and physical activity at work. People watching TV !4 haday showed a higher adjusted prevalence odds ratio of obesity, POR 2.38 (95% con®dence interval, 1.54 ± 3. 69), compared with those watching TV 1 haday. People who reported to sleep !9 haday presented a lower POR of obesity than those sleeping 6 haday, POR 0.43 (0.27 ± 0.67). Statistically signi®cant dose ± responses were observed for both associations, so that the prevalence odds ratio of obesity was 30% higher for each hour of increased TV viewing and 24% lower for each additional hour of sleeping time. In addition, the prevalence of obesity was lowest among single people, those more physically active at work, and those with a high educational level. CONCLUSION: Time spent watching television and a low physical activity at work were related to obesity in adults. The inverse association between obesity and sleep duration deserves further research.
We examined 1-y weight and height gains among 238 rural Bangladeshi children aged 3-11 y old to address the hypothesis that dietary protein composition is associated with growth velocity. Energy-adjusted total protein and energy-adjusted protein from sources other than cereal (animal, pulses, and vegetables) were associated with higher weight gains, after adjustment for age, sex, land ownership, diarrhea, acute respiratory infections, other fevers, nutritional status at the beginning of the study, and average body mass index of the mother [daily intake of energy-adjusted noncereal protein (beta +/- SE): 14.2 +/- 6.4 g.y-1.g-1, P = 0.03; total protein: 13.1 +/- 6.3 g.y-1.g-1, P = 0.04; and protein as percent of energy intake: 39.5 +/- 20.2 g.y-1.% of energy from protein-1, P = 0.05]. These findings are compatible with the hypotheses that protein intake may be a limiting factor for weight gain in this population, or that higher protein intake from animal sources (mostly fish) and legumes (lentils and peas) may be accompanied by higher intakes of limiting micronutrients.
The immigrant population has lived in this area for a long time, despite living in adverse conditions in administrative and health terms. The public health service through INSALUD is the principal provider of health services to immigrants.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.