Life events and chronic physical conditions among left-behind farmers in rural China a cross-sectional study.

Life events and chronic physical conditions among left-behind farmers in rural China a cross-sectional study.
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中国农村留守农民生活事件与慢性身体状况的横断面研究

DOI:
10.1186/s12889-015-1877-0
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发表时间:
2015-07-01
期刊:
影响因子:
4.5
通讯作者:
Wang D
Wang D
中科院分区:
医学2区
文献类型:
--
作者:
Chai J;Chen P;Feng R;Liang H;Shen X;Tong G;Cheng J;Li K;Xie S;Shi Y;Wang D

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背景:本研究旨在探讨留守农民这一中国广大农村新兴的弱势群体的生活事件与慢性身体疾病之间的关系。方法收集2013年11月初至12月底在中国安徽六安18个村随机抽取的4681名农民的生活事件、慢性身体状况、血压和空腹血糖等信息。比较不同亚组的风险和优势比(rr /ORs),这些亚组的风险和优势比分别由基于多变量logistic回归系数的未加权评分和加权评分相加得出。结果共4040名农户完成调查,合格率为86.3%。生活事件指数得分低于前1/15百分位和生活事件指数得分较高的农民的相对危险度分别为:慢性胃炎1.43-5.79、前列腺炎0.42-9.07、宫颈炎/阴道炎1.01-4.97、心脑血管疾病1.45-3.28、高血压1.12-1.58、糖尿病1.00-1.66、糖尿病前期1.07-3.35、“其他慢性躯体疾病”5.00-55.00。结论生活事件与大多数慢性躯体疾病存在独立的剂量-效关系。使用逻辑回归模型编制的生活事件指数的给定百分位截断点划分的亚组之间的rr明显高于通过汇总所有研究事件的未加权Likert评分得出的相同生活事件指数截断点划分的亚组之间的rr。
BackgroundThis study investigates the relationships between life events and chronic physical conditions among left behind farmers, a newly emerged weak group in vast rural China.MethodsThe study collected information about life events, chronic physical conditions, blood pressure and fasting blood glucose from 4681 famers living in 18 randomly selected villages (Lu’an, Anhui, China) from early November 2013 to the end of December 2013. It compared the risk and odds ratios (RRs/ORs) among different subgroups divided according two life event indices derived by adding up un-weighted-ratings and weighted-ratings based on multivariate logistic regression coefficients respectively.ResultsA total of 4040 (86.3 % eligible) farmers completed the survey. RRs between farmers with lower than the first 1/15-percentile of life event index and with higher life event index scores ranged 1.43–5.79 for chronic gastritis and 0.42–9.07 for prostatitis, 1.01–4.97 for cervicitis/vaginitis, 1.45–3.28 for cardio-cerebrovascular diseases, 1.12–1.58 for hypertension, 1.00–1.66 for diabetes, 1.07–3.35 for pre-diabetes and 5.00–55.00 for “other chronic physical conditions”.ConclusionsLife events were independently linked with most of the chronic physical conditions in a dose-effectiveness way. RRs between subgroups divided by given percentile cutoff points of life event index compiled using logistic regression models turned out to be substantially higher than that between subgroups divided by same cutoff points of life event index produced via summing up the un-weighted Likert ratings of all the events studied.
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