华南预防医学 ›› 2024, Vol. 50 ›› Issue (11): 1011-1015.doi: 10.12183/j.scjpm.2024.1011

• 论著 • 上一篇    下一篇

荆门地区社区居民亚健康现状及影响因素分析

王婷婷1, 曾真1, 彭丹2, 吕琢3, 薛晓英1, 杨艳丽1, 黄娟1   

  1. 1.荆门市中心医院,湖北 荆门 448000;
    2.荆州市中医医院;
    3.武汉市长江航运总医院
  • 收稿日期:2024-03-14 出版日期:2024-11-20 发布日期:2024-12-04
  • 作者简介:王婷婷(1984—),女,大学本科,主治医师,主要从事内科工作
  • 基金资助:
    荆门市科学技术研究与开发计划项目(2022YDKYO51)

Sub-health status and influencing factors of community residents in Jingmen City

WANG Tingting1, ZENG Zhen1, PENG Dan2, LYU Zhuo3, XUE Xiaoying1, YANG Yanli1, HUANG Juan1   

  1. 1. Jingmen Central Hospital, Jingmen, Hubei 448000, China;
    2. Jingzhou Traditional Chinese Medicine Hospital;
    3. Wuhan Yangtze River Shipping General Hospital
  • Received:2024-03-14 Online:2024-11-20 Published:2024-12-04

摘要: 目的 调查荆门市社区居民的亚健康状态,并分析相关影响因素。方法 于2023年6—12月采用多阶段随机抽样法在荆门市随机抽取3个区/县,每个区/县随机抽取3个街道/镇,每个街道/镇随机抽取3个社区,每个社区中随机选取100名成年居民进行问卷调查。采用亚健康评定量表(SHMSV1.0)对社区居民亚健康状态进行评估,并采用单、多因素分析方法对社区居民亚健康状态的影响因素进行分析。结果 本研究共发放调查问卷2 700份,收回有效问卷2 656份,有效率98.37%,包括女性1 230名,男性1 426名。荆门市社区居民总体亚健康检出1 649例,检出率62.08%,其中生理亚健康、心理亚健康和社会亚健康检出率分别为59.63%、52.03%和53.77%。多因素logistic回归分析结果显示,年龄(OR=2.117)、BMI(<18.5 kg/m2 OR=2.233,≥28.0 kg/m2 OR=2.361)、在职(OR=1.582)、每周工作时间≥60 h(OR=1.494)、平均月收入<2 000元(OR=1.628)、吸烟(OR=1.980)、饮酒(OR=1.884)、睡眠时间<8 h(OR=1.668)、经常熬夜(OR=1.910)、不良饮食习惯(OR=1.668)、自我健康关注度低(OR=1.558)、体育锻炼(OR=0.667)、压力感受程度(大OR=1.976,中OR=1.232)、挫商程度(OR=2.041)、社会低支持度(OR=1.316)、近半年有应激事件(OR=1.697)是荆门市社区居民亚健康的影响因素。结论 荆门地区社区居民亚健康检出率较高,其影响因素复杂,与年龄、健康行为习惯及工作生活压力等因素有关。需采取多种针对性干预措施,改善居民的亚健康状态,提高健康水平。

关键词: 亚健康状态, 居民, 影响因素, 健康干预

Abstract: Objective To investigate the sub-health status of community residents in Jingmen City and analyze the related influencing factors. Methods From June to December 2023, a multi-stage random sampling approach was employed to select community residents in Jingmen as the survey subjects. Specifically, three districts/counties were randomly chosen in Jingmen City, three streets/towns were randomly selected within each district/county, and three communities were randomly picked in each street/town. One hundred adult residents from each community were randomly selected to receive questionnaires. The Sub-health Rating Scale (SHMSV1.0) was utilized to assess the sub-health status of community residents, and both univariate and multivariate analyses were conducted to analyze the influencing factors of the sub-health status of community residents. Results In this study, 2 700 questionnaires were distributed and 2 656 valid questionnaires were retrieved, with an effective rate of 98.37%, including 1 230 women and 1 426 men. There were 1 649 people with sub-health in Jingmen, and the detection rate was 62.08%. The detection rates of physical sub-health, mental sub-health, and social sub-health were 59.63%, 52.03%, and 53.77%, respectively. Multivariate logistic regression analysis showed that age (OR = 2.117), BMI index (<18.5 kg/m2 OR = 2.233, ≥ 28.0 kg/m2 OR = 2.361), being on the job (OR= 1.582), weekly working hours ≥ 60 h (OR = 1.494), average monthly income <2 000 yuan (OR= 1.628), smoking (OR= 1.980), drinking (OR = 1.884), sleep time <8 h (OR= 1.668), often staying up late (OR= 1.910), bad eating habits (OR= 1.668), low self-care regarding health (OR= 1.558), physical exercise (OR= 0.667), stress perception (large OR=1.976, medium OR=1.232), degree of frustration (OR=2.041), low social support (OR= 1.316), and experiencing stress events in the past six months (OR =1.697) were the influencing factors of sub-health among residents in Jingmen City. Conclusions The prevalence of sub-health among community residents in Jingmen City is high, and its influencing factors are complex, which are related to age, health behavior, and work and life pressure. It is necessary to take a variety of targeted intervention measures to improve the sub-health status of residents and improve their health level.

Key words: Sub-health status, Community residents, Influencing factor, Health intervention

中图分类号: 

  • R195