首页> 外文期刊>International journal of occupational medicine and environmental health. >The introduction of health behavior profiles in the Hungarian Defense Forces: a cluster analysis of lifestyle factors according to the health screening tests performed in 2011–2015
【24h】

The introduction of health behavior profiles in the Hungarian Defense Forces: a cluster analysis of lifestyle factors according to the health screening tests performed in 2011–2015

机译:在匈牙利国防军中引入健康行为概况:根据2011-2015年进行的健康筛查测试,对生活方式因素进行聚类分析

获取原文
           

摘要

Objectives: The main aim of this study was to examine the health behavior patterns of soldiers in the Hungarian Defense Forces and to introduce health behavior profiles according to the cluster analysis of lifestyle factors. Material and Methods: The soldiers (N = 5475) who underwent health tests in 2011–2015 participated in this cross-sectional study. The factors included in the analysis are the following: age, sex, diseases diagnosed, the body mass index, eating habits, the smoking status, daily physical activity, sporting habits, the presence of psychosomatic symptoms, mental toughness and sleep apnea. The response options for each factor were scored on a linear scale; the minimum number of points available was –47.5 pts and the maximum number was 48.5 pts according to the 24 factors. Finally, the authors created health profiles typical of the pattern with the cluster analysis of the data. Results: As a result of the cluster analysis, 16 distinct profiles were found, 10 of which differed significantly (p Conclusions: The significance of the health profiles obtained during this examination with the Hungarian Defense Forces is that the health promotion intervention opportunities may be determined by clusters, the health behavior factor with which the authors can reach higher health benefits can be chosen and the effectiveness of the interventions carried out can be traced easily.
机译:目的:本研究的主要目的是检查匈牙利国防军士兵的健康行为模式,并根据生活方式因素的聚类分析介绍健康行为概况。材料和方法:2011-2015年接受健康检查的士兵(N = 5475)参加了这项横断面研究。分析中包括以下因素:年龄,性别,诊断出的疾病,体重指数,饮食习惯,吸烟状况,日常体育活动,运动习惯,心身症状,心理韧性和睡眠呼吸暂停。每个因素的反应选项均以线性量表评分;根据24个因素,可用的最小点数为–47.5分,最大的点数为48.5分。最后,作者通过数据的聚类分析创建了典型模式的运行状况配置文件。结果:通过聚类分析,发现了16个不同的概况,其中10个差异显着(p结论:在匈牙利国防军进行的这次检查中获得的健康概况的意义在于,可以确定健康促进干预机会通过聚类,可以选择作者能够获得更高健康益处的健康行为因素,并且可以轻松追踪所采取干预措施的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号