蔡乐,许传志,董峻,毕卫红.昆明市农村超重和肥胖患病率及影响因素分析[J].中华流行病学杂志,2008,29(7):676-678 |
昆明市农村超重和肥胖患病率及影响因素分析 |
Study on the determinants of prevalence in persons with overweight and obesity in rural areas of Kunming |
收稿日期:2007-11-01 出版日期:2014-09-15 |
DOI: |
中文关键词: 超重 肥胖 患病率 影响因素分析 |
英文关键词: Overweight Obesity Prevalence Influencing factors analysis |
基金项目:云南省自然科学基金资助项目(2003C0022Q) |
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中文摘要: |
目的 分析昆明地区农村超重和肥胖患病现状及村庄与个体间的影响因素。方法 选 择石林县作为农村的代表,采用PPS抽样方法对6006名45岁及以上村民通过问卷调查和体格检查 获取所需资料;并应用多水平logistic模型分析影响超重和肥胖患病的村庄与个体因素。结果 该地 区村民超重率为12.10%,其中男性13.60%,女性10.71%;村民肥胖率为2.15%,其中男性2.82%’ 女性1.52%;男性的超重率和肥胖率均高于女性。个体和村级因素均与肥胖有关,而超重仅与个体 因素有关。在影响超重的因素中,随着年龄的增长患超重的可能性变小(OR = 0.95,95%C7:0.83? 0.97),男性比女性更容易患超重(0尺=0.89,95%(:1:0.78~0.98)。在影响肥胖的因素中,随着年 龄增长患肥胖的可能性变小(Oi? = 0.93,95%(:/:0.82~0.96),男性比女性更容易患肥胖(0只= 0.87,95%C7:0.78~0.97),收人水平越低者和村庄整体收人水平越低者患肥胖的可能性越大(Oi? 值分别为0.81和0.92;95%CT分别为0.73~0.95和0.85~0.98)。结论 对肥胖的干预措施应同时 考虑个体和村级水平,肥胖的预防和干预工作应放在村庄整体收人水平较低的村民。 |
英文摘要: |
Objective This study was to explore the prevalence of overweight and obesity,and the effects of contextual and individual level determinants on them in the rural areas of Kunming city, China. Methods Shilin County was selected as the study site. Probability Proportional to Size (PPS) sampling method was used to select representative sample of 6006 residents aged 45 years and over from Shilin. Information was obtained from a cross-sectional survey on health. Data was analyzed using a multilevel logistic modeling. Results The prevalence rates of overweight and obesity were 12.10%and 2.15%in the study area. Males had a higher prevalence of overweight than females (13.60%vs ? 10.71%), Similar situation was seen in the prevalence of obesity (2.82%vs. 1.52 %). Both village level and individual level variables were associated with obesity,whereas only individual level variables were related to overweight. Elderly had lower probability of being overweight and obese than younger people with odds ratio (OR) as 0.95(95 %C/ :0.83-0.97) and 0.93(95%C/ :0.82-0.96),respectively. Males had higher probability of being overweight and obese than females: OR of 0.89(95%C/ :0.78-0.98) and OR of 0.87(95%Cl : 0.78-0. 97),respectively. Individuals with lower family income had increased probability of having obesity (OR=0.81,95%C/ :0.73-0.95). Factor as living in a higher income village was associated with lower prevalence of obesity (OR=0.92,95%C/: 0.85-0.98). Conclusion Interventions at village level on obesity in parallel with those at individual level were needed. Prevention and intervention on obesity should be emphasized in villages with higher income. |
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