多水平模型在中国人群肥胖的省级社会影响因素分析中的应用

何柳; 吴静; 王丽敏; 李镒冲; 张梅; 梁晓峰

doi:10.16462/j.cnki.zhjbkz.2016.06.021

多水平模型在中国人群肥胖的省级社会影响因素分析中的应用

doi: 10.16462/j.cnki.zhjbkz.2016.06.021

何柳¹,
吴静¹,
王丽敏²,
李镒冲²,
张梅²,
梁晓峰^3, ,

1. 中国疾病预防控制中心慢性病防治与社区卫生处, 北京 102206;
2. 中国疾病预防控制中心慢性非传染性疾病预防控制中心, 北京 100050;
3. 中国疾病预防控制中心, 北京 102206

详细信息

作者简介:
何柳(1984-),女,四川成都人,助理研究员,博士。主要研究方向:慢性病流行病学。

中图分类号: R589.25;R181
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- 被引次数: 0
出版历程
- 收稿日期: 2015-12-30
- 修回日期: 2016-03-03

Application of multilevel models in analyzing on province-level social determinants of obesity in China

1. Division of Non-Communicable Disease Control & Community Health, Chinese Center for Disease Control and Prevention, Beijing 102206, China;
2. The National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China;
3. Chinese Center for Disease Control and Prevention, Beijing 102206, China

摘要

摘要: 目的采用多水平模型的方法探索中国人群省级水平社会因素对个体肥胖患病的影响。方法采用多水平建模的方法，利用2007年慢性病与危险因素监测18~69岁人群数据作为研究结局和个体水平因素，收集国家统计局2007年分省年度数据，通过因子分析方法获得省级社会发展综合指标，分析其与个体体质指数（body mass index，BMI）、肥胖和中心性肥胖的关联关系。结果 2007年，全国范围内18～69岁人群的BMI平均值为（23.27±3.37）kg/m²，肥胖率为8.49%，中心性肥胖率为30.92%。从7个与社会经济、医疗卫生资源、生活环境有关的省级社会因素提取出2个省级水平因子作为各省社会发展综合指标，发现代表居民消费水平和医疗卫生资源充足程度的省级因子与个体BMI、肥胖、中心性肥胖的关联均无统计学意义（均有P>0.05），而代表社会经济综合发展程度的省级因子与个体BMI（OR=1.09，95% CI：1.04～1.10）、肥胖（OR=1.17，95% CI：1.07～1.28）、中心性肥胖（OR=1.19，95% CI：1.10～1.30）有正向的关联关系。结论在中国，社会经济综合发展程度较好的地区，个体发生肥胖的风险可能较大。利用多水平模型探索影响个体肥胖等慢性病的地区社会因素，可为卫生政策制定者提供科学证据，引导卫生资源合理分配，具有重要公共卫生意义。
- 模型,统计学 /
- 肥胖症 /
- 因素分析,统计学
Abstract: Objective To explore province-level social determinants of obesity in Chinese population, using multilevel analysis. Methods Information of individual outcomes and individual-level variables was acquired from data of Chronic Disease Risk Factor Surveillance in China, 2007, while province-level factors were extracted from 7 social indicators, which were obtained from data of National Bureau of Statistics, using factor analysis method. Then, multilevel models were built to calculate the correlations of province-level factors with body mass index (BMI), obesity and central obesity. Results Among the nationwide population aged 18-69 years in 2007, mean BMI level was (23.27±3.37) kg/m², rate of obesity and central obesity was 8.49% and 30.92%, respectively. Two province-level factors were extracted from 7 social indicators, and factor 2, which represented the provincial social and economic comprehensive development level, was found positively correlated with BMI (OR=1.09, 95% CI:1.04-1.10), obesity (OR=1.17, 95% CI:1.07-1.28) and central obesity (OR=1.19, 95% CI:1.10-1.30), while factor 1, which represented the provincial level of residents' consumption and health service, wasn't found statistically correlated with these three outcomes(all P>0.05). Conclusions In China, higher provincial social-economic comprehensive development level might be a risk factor for individual obesity, especially central obesity, which indicated that limited resources for obesity prevention and control may need to be allocated to provinces or regions with higher economic development level. In conclusion, in order to provide more evidence on improving the efficiency of non-communicable diseases (NCDs) prevention and control and help the Chinese policy makers to allocate health resources more reasonably, multilevel models could be used to perform researches on area-level social-economic influencers of NCDs.
- Models,statistical /
- Obesity /
- Factor analysis,statistical

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参考文献(13)

何柳,施小明,胡永华. 地区社会经济水平与心血管疾病研究进展 [J]. 中国公共卫生, 2014,30(7):936-939.

王济川,谢海义,姜法宝. 多层统计分析模型:方法与应用 [M]. 北京:高等教育出版社, 2008:10-12.

Young R, Hinnant A, Leshner G. Individual and social determinants of obesity in strategic health messages: Interaction with political ideology [J]. Health Commun, 2015,23:1-8.[Epub ahead of print]

Honjo K, Iso H, Fukuda Y, et al. Influence of municipal- and individual-level socioeconomic conditions on mortality in Japan [J]. Int J Behav Med, 2014, 21(5):737-749.

Kim ES, Hawes AM, Smith J. Perceived neighborhood social cohesion and myocardial infarction [J]. J Epidemiol Community Health, 2014,68(11):1020-1026.

中国疾病预防控制中心. 中国慢性病及其危险因素监测报告2007 [M]. 北京:人民卫生出版社, 2010.

徐龙,马颖,胡志,等. 中国四省市社区老年人超重及肥胖影响因素分析 [J]. 中华疾病控制杂志, 2014,18(8):732-735.

Grundmann N, Mielck A, Siegel M, et al. Area deprivation and the prevalence of type 2 diabetes and obesity: analysis at the municipality level in Germany [J]. BMC Public Health, 2014,14:1264.

Mujahid MS, Diez RAV, Borrell LN, et al. Cross-sectional and longitudinal associations of BMI with socioeconomic characteristics [J]. Obes Res, 2005, 13(8):1412-1421.

Tang X, Laskowitz DT, He L, et al. Neighborhood socioeconomic status and the prevalence of stroke and coronary heart disease in rural China: A population-based study [J]. Int J Stroke, 2015,10(3):388-395.

Chen TJ, Modin B, Ji CY, et al. Regional, socioeconomic and urban-rural disparities in child and adolescent obesity in China: a multilevel analysis [J]. Acta Paediatr, 2011,100(12):1583-1589.

Chen DR, Wen TH. Socio-spatial patterns of neighborhood effects on adult obesity in Taiwan: a multi-level model [J]. Soc Sci Med, 2010,70(6):823-833.

Hu Y, He L, Wu Y, et al. Familial correlation and aggregation of body mass index and blood pressure in Chinese Han population [J]. BMC Public Health, 2013,13:686.

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