已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Diabetes-related metabolic risk factors in internal migrant workers in China: a national surveillance study

医学 糖尿病 环境卫生 梅德林 老年学 中国 内分泌学 法学 政治学
作者
Yufang Bi,Limin Wang,Yu Xu,Yong Jiang,Jiang He,Mei Zhang,Maigeng Zhou,Li Y,Min Xu,Jieli Lu,Tiange Wang,Lin Ding,Meng Dai,Di Zhang,Chung-Shiuan Chen,Shenghan Lai,Weiqing Wang,Tianpei Hong,Guang Ning
出处
期刊:The Lancet Diabetes & Endocrinology [Elsevier BV]
卷期号:4 (2): 125-135 被引量:40
标识
DOI:10.1016/s2213-8587(15)00366-6
摘要

Background Little is known about the cardiometabolic health of internal migrant workers in China. We aimed to examine the prevalence of diabetes-related cardiometabolic risk factors in this large, but little-studied population. Methods We did this national surveillance study within the Chinese Center for Disease Control and Prevention's National Disease Surveillance Point System, which includes a nationally representative sample of 170 study sites in all 31 provinces, autonomous regions, and municipalities in mainland China. We used a stratified multistage cluster sampling design to select a nationally representative sample of 48 704 Chinese internal migrant workers aged 18–59 years in 2012. We defined migrant workers as individuals whose residence at the time of the study differed from their permanent residence in the government household registration system. Medical history, information about lifestyle risk factors, and clinical measurements were collected from study participants at workplaces or local health centres by trained staff. Overnight fasting blood samples were collected in the morning and oral glucose tolerance tests were done in accordance with a standard protocol. All calculations were weighted to represent the overall Chinese migrant worker population aged 18–59 years by assigning each participant a weight coefficient. Weight coefficients were derived from the 2012 China population census data for migrant population according to the distributions of industry sector, age, and sex. Findings Among Chinese migrant workers aged 18–59 years, the weighted prevalence estimates were 26·8% (95% CI 26·4–27·3) for overweight, 4·7% (4·5–5·0) for obesity, 29·4% (28·9–29·9) for central obesity, 30·5% (30·0–31·0) for prediabetes, 5·1% (4·9–5·3) for diabetes, 16·3% (15·9–16·7) for hypertension, 34·5% (34·0–35·0) for dyslipidaemia, and 18·6% (18·2–19·0) for metabolic syndrome. 9·0% (8·7–9·3) of Chinese migrant workers had none of the following cardiometabolic risk factors, including current cigarette smoking, low fruit and vegetable intake, low physical activity, obesity or central obesity, diabetes, hypertension, and dyslipidaemia, 26·7% (26·2–27·2) had one, 30·2% (29·7–30·7) had two, 19·6% (19·1–20·0) had three, 9·9% (9·6–10·3) had four, 3·7% (3·5–3·9) had five, 0·8% (0·8–0·9) had six, and 0·1% (0·1–0·1) had seven. The proportions of individuals with three or more risk factors were 44·6% (43·9–45·3) in men and 20·2% (19·6–20·9) in women. Most metabolic risk factors were significantly less prevalent in migrant workers than in the general population in China (all p<0·001), although in women, the proportion with central obesity was similar (p=0·50), and in men, the proportion with metabolic syndrome was similar (p=0·07), and overweight (p<0·0001), obesity (p=0·0008), and central obesity (p<0·0001) were more prevalent in male migrant workers. Interpretation Compared with the general population in China, most cardiometabolic risk factors were less prevalent in migrant workers. However, overweight, obesity and central obesity were more prevalent in male migrant workers than among men in the general population. Cardiometabolic risk profiles for migrant workers are not optimal and effective national interventions that can reach this special population are needed. Funding Chinese Ministry of Finance, Ministry of Health, and Ministry of Science and Technology.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
yuxinli发布了新的文献求助10
1秒前
SciGPT应助朱先生采纳,获得10
2秒前
不二嘉发布了新的文献求助50
6秒前
沉默的阁发布了新的文献求助30
6秒前
9秒前
10秒前
10秒前
11秒前
11秒前
欢呼的纹应助persist采纳,获得10
11秒前
12秒前
朱先生发布了新的文献求助10
13秒前
13秒前
zzcres发布了新的文献求助10
14秒前
斐然发布了新的文献求助10
15秒前
欢呼的纹应助ayumi采纳,获得10
16秒前
Ann发布了新的文献求助10
16秒前
ding应助zzcres采纳,获得10
21秒前
21秒前
瘦瘦语蕊发布了新的文献求助10
23秒前
24秒前
28秒前
29秒前
29秒前
聪慧的凡灵应助WFLLL采纳,获得20
29秒前
无辜易绿完成签到 ,获得积分10
29秒前
31秒前
33秒前
青ZZZZ发布了新的文献求助10
37秒前
辞镜发布了新的文献求助10
37秒前
37秒前
顾矜应助科研通管家采纳,获得10
38秒前
ding应助科研通管家采纳,获得10
38秒前
38秒前
38秒前
罗龙生发布了新的文献求助10
38秒前
欢呼的纹应助persist采纳,获得10
39秒前
lmj717完成签到,获得积分10
43秒前
45秒前
高分求助中
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 2500
Future Approaches to Electrochemical Sensing of Neurotransmitters 1000
生物降解型栓塞微球市场(按产品类型、应用和最终用户)- 2030 年全球预测 1000
壮语核心名词的语言地图及解释 900
Finite Groups: An Introduction 800
盐环境来源微生物多相分类及嗜盐古菌基因 组适应性与演化研究 500
Thermal Expansion of Solids (CINDAS Data Series on Material Properties, v. I-4) 470
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3910225
求助须知:如何正确求助?哪些是违规求助? 3455855
关于积分的说明 10885823
捐赠科研通 3181834
什么是DOI,文献DOI怎么找? 1758252
邀请新用户注册赠送积分活动 850720
科研通“疑难数据库(出版商)”最低求助积分说明 792176