Factors and age-related drivers that influence self-rated bad health in police officers: A cross-sectional study

影响警察自评健康状况不佳的因素和年龄相关驱动因素:一项横断面研究

阅读:1

Abstract

OBJECTIVE: Although some previous studies have investigated health in police officers, investigations of related factors have been limited to work-related associations or those affecting certain police officers. To address this gap, this study investigated relationships between sociodemographic factors, work-related factors, health behaviors, health conditions, and self-rated bad health (SRBH) in Korean police officers. METHODS: In 2021, we conducted a cross-sectional survey in cooperation with the Korean National Police Agency (KNPA). The respondents were 6,591 police officers aged 21-60 years, all of whom agreed to complete the survey online using the police agency's intranet. After collecting data, we conducted a multiple logistic regression analysis to examine factors that were associated with SRBH, with calculations for adjusted odds ratios (ORs) and 95 % confidence intervals (CIs). The study model included a range of individual socioeconomic characteristics, work-related variables, health behaviors, and health conditions. RESULTS: Although the associated factors varied according to age group, several factors generally related to SRBH, including the lack of exercise, stress, having one or more chronic diseases, and work-related pain. By contrast, neither sex nor sleep duration were associated with SRBH of respondents. Monthly night work, smoking, and alcohol consumption were only associated with SRBH of certain age groups. CONCLUSIONS: Several variables clearly related to SRBH of police officers. In this context, health-related associations, especially stress and chronic diseases, tended to differ according to age, including those that should be considered to improve health. These findings have important implications for relevant healthcare programs and interventions.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。