职业与健康 ›› 2023, Vol. 39 ›› Issue (16): 2218-2224.

• 论著 • 上一篇    下一篇

天津市银行职工慢性病患病调查及影响因素分析

夏春燕1,2, 谢金丽1,2, 张予弦2, 毕珣3, 姚站馨2, 刘颖1   

  1. 1.内蒙古医科大学公共卫生学院,内蒙古 呼和浩特 010059;
    2.军事科学院军事医学研究院环境医学与作业医学研究所军事营养学与食品卫生学研究室,天津 300050;
    3.武警特色医学中心体检鉴定科,天津 300000
  • 收稿日期:2022-09-06 修回日期:2023-01-03 发布日期:2026-03-24
  • 通信作者: 姚站馨,副研究员,E-mail:yaozhanxin@126.com;刘颖,教授,E-mail:yingruru@sina.com
  • 作者简介:夏春燕,女,在读硕士研究生,研究方向为营养流行病学。
  • 基金资助:
    国家自然科学基金项目(81903307); 内蒙古自治区自然科学基金项目(2019MS08026); 军队后勤科研项目(BWJ19J003)

Investigation on prevalence of chronic diseases among bank employees in Tianjin and analysis on influencing factors

XIA Chunyan1,2, XIE Jinli1,2, ZHANG Yuxian2, BI Xun3, YAO Zhanxin2, LIU Ying1   

  1. 1. School of Public Health,Inner Mongolia Medical University,Inner Mongolia Hohhot 010059,China;
    2. Department of Military Nutrition and Food Hygiene,Institute of Environmental and Operational Medicine,Academy of Military Medical Sciences,Academy of Military Sciences,Tianjin 300050,China;
    3. Department of Physical Examination and Identification,Special Medical Center of Armed Police,Tianjin 300000,China
  • Received:2022-09-06 Revised:2023-01-03 Published:2026-03-24
  • Contact: YAO Zhanxin,Associate research fellow,E-mail:yaozhanxin@126.com;LIU Ying,Professor,E-mail:yingruru@sina.com

摘要: 目的 了解银行职工慢性病流行现状及影响因素,为慢性病防控提供理论依据。方法 2021年7—12月,采用2阶段分层整群抽样方法,抽取天津市6家银行1 736名职工为调查对象。通过问卷调查、体格检查、影像学检查、实验室生化检测了解银行职工慢性病患病现状;采用多因素logistic回归模型分析主要慢性病的影响因素。结果 天津市银行职工慢性病患病率为75.75%,患≥2种慢性病共病率为50.58%,慢性病患病率前2位依次为血脂异常(33.64%)、脂肪肝(32.26%)。Logistic回归结果显示,血脂异常患病危险因素为男性、50~60岁、肥胖、抑郁(OR=1.557、2.449、1.992、1.449,均P<0.05);保护因素为硕士及以上、中等体力活动(OR=0.520、0.742,均P<0.05)。脂肪肝患病危险因素为已婚、超重、肥胖、口味偏咸(OR=1.618、2.373、7.412、1.613,均P<0.05);保护因素为大专/本科、硕士及以上、中等体力活动(OR=0.479、0.449、0.686,均P<0.05)。结论 天津市银行职工慢性病患病以血脂异常和脂肪肝为主;抑郁、口味偏咸、低学历、吸烟导致职工罹患慢性病的风险升高。低体力活动、超重/肥胖为血脂异常及脂肪肝的共同危险因素。应关注职工心理健康问题,倡导低盐饮食,且适当增加体育锻炼,养成良好的生活习惯,预防控制职工慢性病的发生发展。

关键词: 银行职工, 慢性病, 患病率, 影响因素

Abstract: Objective To understand the prevalence of chronic diseases in bank employees and its influencing factors,provide a theoretical basis for the prevention and control of chronic diseases. Methods A two-stage stratified cluster sampling method was used to select 1 736 employees of six banks in Tianjin as the research object from July to December 2021.The questionnaire survey,physical examination,imaging examination,and laboratory biochemical index detection were used to understand the prevalence of chronic diseases.The multivariate logistic regression model was used to analyze the influencing factors of major chronic diseases. Results The prevalence of chronic diseases was 75.75%,of which 50.58% of bank employees in Tianjin had two or more chronic diseases. The top two in the prevalence of chronic diseases were dyslipidemia(33.64%) and fatty liver(32.26%). The logistic regression analysis showed that the risk factors for dyslipidemia were male,50-60 years old,obesity and depression(OR=1.557,2.449,1.992,1.449,all P<0.05),and the protective factors for dyslipidemia were master's degree or above and moderate physical activity(OR=0.520,0.742,both P<0.05). The risk factors for fatty liver disease were being married,overweight,obese,and salty taste(OR=1.618,2.373,7.412,1.613,all P<0.05),and the protective factors for fatty liver disease were college or undergraduate education,master's degree or above,and moderate physical activity(OR=0.479,0.449,0.686,all P<0.05). Conclusions The chronic diseases of bank employees are mainly dyslipidemia and fatty liver in Tianjin. Depression,salty taste,low education,and smoking increase the risk of chronic diseases among bank employees. Low physical activity,overweight/obesity are common risk factors for dyslipidemia and fatty liver. It is necessary to pay attention to the psychological health problems of employees,advocate a low salt diet,appropriately increase physical exercise,develop good living habits,and prevent and control the occurrence and development of chronic diseases among employees.

Key words: Bank employees, Chronic diseases, Prevalence, Influencing factors

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