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与警察肥胖相关的行为变量。

Behavioral variables associated with obesity in police officers.

作者信息

Can S Hakan, Hendy Helen M

机构信息

Administration of Justice Program, Penn State University, USA.

出版信息

Ind Health. 2014;52(3):240-7. doi: 10.2486/indhealth.2013-0237. Epub 2014 Apr 2.

DOI:10.2486/indhealth.2013-0237
PMID:24694574
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4209580/
Abstract

Past research has documented that non-behavioral variables (such as long work hours, exposure to police stressors) are associated with obesity risk in police officers, but limited research has examined behavioral variables that might be targeted by Employee Assistance Programs for police weight management. The present study compared non-obese and obese officers for behavioral variables found associated with obesity in other adult samples: physical activity (cardiovascular, strength-training, stretching), sleep duration, and consumption of alcohol, fruit and vegetables, and snack foods. Participants included 172 male police officers who completed questionnaires to report height and weight, used to calculate body mass index (BMI = kg/m(2)) and to divide them into "non-obese" and "obese" groups. They also reported the above behaviors and six non-behavioral variables found associated with obesity risk: age, health problems, family support, police work hours, police stressors, police support. ANCOVAs compared each behavioral variable across obesity status (non-obese, obese), with the six non-behavioral variables used as covariates. Results revealed that cardiovascular and strength-training physical activity were the only behavioral variables that differed significantly between non-obese and obese police officers. The use of self-reported height and weight values may provide Employee Assistance Program with improved cost, time, and officer participation.

摘要

过去的研究表明,非行为变量(如工作时间长、接触警察压力源)与警察的肥胖风险有关,但针对员工援助计划可能针对警察体重管理的行为变量的研究有限。本研究比较了非肥胖和肥胖警察在其他成年样本中与肥胖相关的行为变量:身体活动(心血管、力量训练、伸展)、睡眠时间以及酒精、水果和蔬菜、休闲食品的摄入量。参与者包括172名男性警察,他们完成了问卷以报告身高和体重,用于计算体重指数(BMI = 千克/米²)并将他们分为“非肥胖”和“肥胖”组。他们还报告了上述行为以及六个与肥胖风险相关的非行为变量:年龄、健康问题、家庭支持、警察工作时间、警察压力源、警察支持。协方差分析比较了肥胖状态(非肥胖、肥胖)下的每个行为变量,并将六个非行为变量用作协变量。结果显示,心血管和力量训练身体活动是唯一在非肥胖和肥胖警察之间存在显著差异的行为变量。使用自我报告的身高和体重值可能会为员工援助计划带来成本、时间和警察参与度方面的改善。

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