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天津地区不同年龄组人群代谢综合征患病情况及其影响因素分析

Prevalence and influencing factors of metabolic syndrome among different age groups in Tianjin

摘要目的:探讨天津地区不同年龄组人群代谢综合征(MS)患病情况及其相关影响因素。方法:本研究以2015年9—11月开展的中国成人慢性病与营养监测天津地区调查人群为研究对象,采用多阶段整群随机抽样方法抽取天津市7个区42个监测点中18岁及以上常住居民1 753例,对其进行MS与各影响因素关系的描述性流行病学分析,采用 χ2检验、单因素logistic回归和决策树模型进行分析。 结果:天津市MS患病率为30.6%,标化患病率为24.5%,MS患病率随年龄增长而升高,老年组(≥60岁)最高,为38.9%。决策树模型显示,青年组(18~44岁)MS影响因素为性别、吸烟、主观健康感觉、年收入、睡眠时间,标准化重要性分别为100%、95.59%、22.55%、20.94%、9.89%。中年组(45~59岁)MS影响因素为二手烟暴露、主观健康感觉、睡眠时间、膳食宝塔得分、地区,标准化重要性分别为100%、98.08%、91.04%、45.74%、20.15%。老年组(≥60岁)MS影响因素为睡眠时间、二手烟暴露、性别、膳食宝塔得分、地区,标准化重要性分别为100%、46.75%、41.87%、41.82%、7.60%。结论:天津地区调查人群MS患病率较高,烟草危害(吸烟、二手烟暴露)和睡眠时间是各年龄组居民MS的共同影响因素,3个年龄组人群不同影响因素分布各有侧重,应采取针对性的干预措施。

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abstractsObjective:To investigate the prevalence the influencing factors of metabolic syndrome among different age groups in Tianjin district.Methods:According to the ‘2015 Chinese Adult Chronic Disease and Nutrition Surveillance Program’, multi-stage cluster random sampling method was used to extract 42 communities from 7 districts in Tianjin. A total of 1 753 adult residents in the 42 communities were selected as the research subjects to analyze the relationship between the influencing factors and metabolic syndrome with descriptive epidemiological analysis. The χ2 test, non-conditional logistic regression and classification tree models were used to analyze the data. Results:The prevalence rate of metabolic syndrome in Tianjin was 30.6%, and the standardized rate was 24.5%. The prevalence rate of metabolic syndrome in Tianjin was increased with age, which was the highest in elderly people (38.9%, ≥60 years). According to the classification tree model, in youth group (18―44 years old), gender, smoking, subjective feeling of health, annual household income and sleep duration were important influencing factors of metabolic syndrome, And the standardized importance was 100%, 95.59%, 22.55%, 20.94% and 9.89%, respectively. In the middle-aged group (45―59 years old), secondhand smoke exposure, subjective feeling of health, sleep duration, the Chinese Food Pagoda (CHFP) score and living region were important influencing factors of metabolic syndrome, and the standardized importance was 100%, 98.08%, 91.04%, 45.74% and 20.15%, respectively. In the elderly group (≥60 years old), sleep duration, secondhand smoke exposure, gender, the CHFP score and living region were important influencing factors of metabolic syndrome, and the standardized importance was 100%, 46.75%, 41.87%, 41.82% and 7.60%, respectively.Conclusions:The prevalence rate of metabolic syndrome is quite high in Tianjin. Tobacco hazard (smoking and secondhand smoke exposure) and sleep duration are the common influencing factors of metabolic syndrome in all age groups. There are different emphases among different age groups in the distributions of those influencing factors, so pointed interventions should be adopted accordingly.

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