[1]李文龙,李慧君,吴 辉,等.正常体质量指数成年农村居民患中心性肥胖影响因素及其相互关系[J].新乡医学院学报,2020,37(8):724-728.[doi:10.7683/xxyxyxb.2020.08.005]
 LI Wenlong,LI Huijun,WU Hui,et al.Influencing factors of central obesity in adult rural residents with normal body mass index and their relationship[J].Journal of Xinxiang Medical University,2020,37(8):724-728.[doi:10.7683/xxyxyxb.2020.08.005]
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正常体质量指数成年农村居民患中心性肥胖影响因素及其相互关系
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《新乡医学院学报》[ISSN:1004-7239/CN:41-1186/R]

卷:
37
期数:
2020年8
页码:
724-728
栏目:
临床研究
出版日期:
2020-08-05

文章信息/Info

Title:
Influencing factors of central obesity in adult rural residents with normal body mass index and their relationship
作者:
李文龙李慧君吴 辉李海斌张丰泉姜 静吴卫东
(新乡医学院公共卫生学院 河南省空气污染健康效应与干预国际联合实验室,河南 新乡 453003)
Author(s):
LI WenlongLI HuijunWU HuiLI HaibinZHANG FengquanJIANG JingWU Weidong
(School of Public Health,Xinxiang Medical University;Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution,Xinxiang 453003,Henan Province,China)
关键词:
体质量指数中心性肥胖影响因素农村居民贝叶斯网络
Keywords:
body mass indexcentral obesityinfluencing factorrural residentbayesian network
分类号:
R195;R723.14
DOI:
10.7683/xxyxyxb.2020.08.005
文献标志码:
A
摘要:
目的 探讨正常体质量指数(BMI)成年农村居民患中心性肥胖的影响因素及各因素之间的相互关系。方法 本研究基于河南省农村常见慢性非传染性疾病前瞻性队列研究中新乡县横断面调查数据,于2017年4~6月采用随机整群抽样方法在河南省新乡县抽取17个村的10 645名≥18岁农村常住居民进行问卷调查、体格检查和实验室检测。选择BMI正常(18.5 kg·m-2≤BMI<24.0 kg·m-2)的3 604人作为研究对象,统计正常体质量中心性肥胖(NWCO)总患病率及各人口学特征人群患病率,并比较NWCO和非NWCO人群体格检查及生物化学指标检查结果;采用Logistic回归模型和贝叶斯网络模型分析NWCO的影响因素及各因素间相互关系。结果 3 604名成年农村居民中,NWCO患病率为31.41%(1 132/3 604),年龄标准化患病率为24.05%。不同运动情况人群的NWCO患病率比较差异无统计学意义(P>0.05),其余各人口学特征人群NWCO患病率比较差异均有统计学意义(P<0.05)。NWCO和非NWCO人群体格检查结果及生物化学指标检测结果比较差异均有统计学意义(P<0.05)。多因素非条件Logistic回归分析结果显示,年龄≥50岁、女性、有饮酒史以及职业为农民是新乡县成年农村居民患NWCO的危险因素(P<0.05),文化程度较高、未婚是新乡县成年农村居民患NWCO的保护因素(P<0.05)。贝叶斯网络分析结果发现,年龄、性别与NWCO直接相关,文化程度、婚姻状况、职业、饮酒史与NWCO间接相关。结论 河南省新乡县成年农村居民NWCO患病率较高,各影响因素之间存在复杂的网络依赖关系。
Abstract:
Objective To explore the influencing factors of central obesity in adult rural residents with normal body mass index(BMI) and their relationship.Methods This study based on the database of cross-sectional survey of Xinxiang county,which was part of prospective cohort study on the common chronic non-communicable diseases in rural areas of Henan province.From April to June 2017,a total of 10 645 rural residents adults (≥18 years old) from 17 rural villages of Xinxiang county were selected by random cluster sampling to perform the questionnaires survey,physical examination and laboratory test.Among the 10 645 individuals,3 604 people with normal BMI (18.5 kg·m-2≤BMI<24.0 kg·m-2) were selected as study objects,and the total prevalence rate of normal-weight central obesity(NWCO) and the prevalence rate of NWCO of population with different demographic characteristics were statistically analyzed.The results of physical examination and biochemical indexes between NWCO and non NWCO population were compared.The influencing factors of NWCO and the relationship among the factors were analyzed by Logistic regression model and Bayesian network model.Results Among 3 604 adult rural residents,the prevalence of NWCO was 31.41% (1 132/3 604),and the age-standardized prevalence rate was 24.05%.There was no significant difference in the prevalence of NWCO among people with different sports situations (P>0.05);there were significant differences in the prevalence of NWCO among the other demographic characteristics people(P<0.05).There were significant differences in physical examination results and biochemical indexes between NWCO and non NWCO populations (P<0.05).Multivariate Logistic regression analysis results showed that the age ≥50 years,female,drinking history and farmer were the risk factors of NWCO in the rural adults of Xinxiang county(P<0.05),while the higher education level and unmarried were the protective factors of NWCO(P<0.05).Bayesian network analysis showed that the age,gender directly related to NWCO;the education,marital status,occupation and drinking history were indirectly related to NWCO.Conclusion The prevalence of NWCO in adult rural residents in Xinxiang county of Henan Province is higher,and there is a complex network dependency among those influencing factors.

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更新日期/Last Update: 2020-08-05