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1.
Chinese Journal of Endocrinology and Metabolism ; (12): 488-493, 2016.
Artigo em Chinês | WPRIM | ID: wpr-494810

RESUMO

_ Objective_ To examine the association between sleep duration, TV watching time, and the incidence of metabolic syndrome in people aged 40 or older in Guiyang city. Methods Data were obtained at the baseline examination ofThe epidemiological study on the risk of cancer in patients with type 2 diabetes in China in 2011. Follow-up study was conducted in 2014 to 2015. A total of 4 392(female 2 987, male 1 405)were included in the analysis. Results According to diagnostic criteria of International Diabetes Federation(IDF)in 2005, 1 035(812 women, 223 men) of the cohort developed metabolic syndrome during an average follow up for 3 years. Sleep duration was classified as≤7 h/d, 7-9 h/d,≥9 h/d, the incidence of metabolic syndrome was 24. 46%, 22. 43%, 23. 65%, respectively. TV watching time was divided into 0-1 h/d, 1. 1-2 h/d, 2. 1-4 h/d,>4 h/d, the incidence rates were 20. 67%, 22. 91%, 24. 61%, 25. 76%, respectively. In multivariate logistics regression analysis, compared with 0-1 h/d, the RR values of women with TV watching time during 1. 1-2 h/d, 2. 1-4 h/d,>4 h/d were 1. 098(95%CI 0. 789-1. 528), 141. 6(95% CI 1. 052-1. 906), 1. 559(95% CI 1. 090-2. 233), respectively. Conclusion The standardized incidence rate of metabolic syndrome in the general population was 23. 12%, the crude rate was 23. 57%. The incidence of metabolic syndrome was unrelated to the sleep duration and TV watching time as a whole or in men. TV watching time more than 2 hours a day may increase the risk of the metabolic syndrome in women.

2.
The Korean Journal of Nutrition ; : 769-776, 2003.
Artigo em Coreano | WPRIM | ID: wpr-646233

RESUMO

This study has analyzed the association of physical activity and television watching time with obesity in 30-50 aged women from middle income town in Busan city area. Data were obtained using a questionnaire, including information about physical activity, TV watching time and health habit; social data regarding educational level and monthly income; family history of chronic condition. Height and weight were measured. Outcome variable was obesity, defined as a body mass index 25 kg/m2 or greater. Odds ratios (OR) for obesity were estimated by multivariate logistic regression, and interpreted as a relative risk of obesity. The prevalence of obesity was 11.8%. The mean BMI of obese women was 26.9 kg/m2. The OR of obesity was higher in subject of 40s than 30s. Subjects who had higher educational level presented lower OR than those of elementary or middle school education. Family income was not associated with obesity. Women having a family history of chronic condition had higher risk of obesity than those who did not have it. The OR was lower in active people at work (OR = 0.51; 95% CI = 0.26 - 0.98) than in inactive ones, and the ORs associated with regular exercise or activity at leisure time were not statistically different. However, subjects watching TV > or = 3.5 hr/day showed higher OR (OR = 2.34; 95% CI = 1.16 - 4.74), compared with those watching TV > or = 1.5 hr/day. Association of the joint classification of physical activity variables with obesity was estimated. The highest relative risk of 5.99 was in women in physically inactive at work and high category of TV watching (> or = 3.5 hr/day). Even in women in active at work, the watching TV > or = 3.5 hr/day made them have the high OR (OR = 2.44; 95% CI = 1.03 - 5.77). And at each time level of TV watching, the increasing activity level at work was associated with lower OR for obesity. These findings suggest that both TV watching time and physical activity at work were related to obesity in adult female, each with independent effects on obesity. TV watching time seems to be a significant factor that could partly evaluate the energy expenditure.


Assuntos
Adulto , Feminino , Humanos , Índice de Massa Corporal , Classificação , Educação , Metabolismo Energético , Articulações , Atividades de Lazer , Modelos Logísticos , Atividade Motora , Obesidade , Razão de Chances , Prevalência , Inquéritos e Questionários , Televisão
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