Yamazaki Shin, Fukuhara Shunichi, Suzukamo Yoshimi, Morita Satoshi, Okamura Tomonori, Tanaka Taichiro, Ueshima Hirotsugu
Department of Epidemiology and Healthcare Research, Graduate School of Medicine and Public Health, Kyoto University, Yoshida-Konoecho, Sakyo-ku, Kyoto 606-8501, Japan.
Occup Med (Lond). 2007 Jun;57(4):262-9. doi: 10.1093/occmed/kqm006. Epub 2007 Feb 23.
Fatigue is one of the most common symptoms encountered in medical practice. However, little is known about the causal relationship between change in lifestyle and fatigue.
To help prevent fatigue-related disorders, we investigated the association between changes in lifestyle and fatigue among employees.
We studied data sets from the High-risk and Population Strategy for Occupational Health Promotion study for employees at 10 workplaces in Japan. The baseline survey was done in 1999 and the follow-up survey in 2003 via a questionnaire which examined lifestyle and fatigue variables using the vitality domain scale of the SF-36 Health Survey. The lifestyle factors focused on were diet, smoking and alcohol habits and working conditions. Four-year changes in lifestyle that predicted the vitality domain score in the follow-up survey were examined by analysis of covariance
Of the 6284 participants in the baseline survey, 4507 replied to the follow-up survey, of whom 3498, with a mean age of 37 (SD 18) years, returned valid responses. A low vitality score at follow-up was predicted by a change in lifestyle factors such as an increase in overtime work, change to non-sedentary work and increased frequency of eating between meals (P < 0.01, P < 0.01 and P = 0.02, respectively).
Fatigue in salaried workers as measured by the vitality domain of the SF-36 is predicted by an increase in overtime work, change to non-sedentary work and an increase in the frequency of eating between meals.
疲劳是医疗实践中最常见的症状之一。然而,关于生活方式改变与疲劳之间的因果关系,人们知之甚少。
为了帮助预防与疲劳相关的疾病,我们调查了员工生活方式改变与疲劳之间的关联。
我们研究了日本10个工作场所员工的职业健康促进高风险与人群策略研究的数据集。1999年进行了基线调查,2003年通过问卷调查进行了随访调查,该问卷使用SF-36健康调查的活力领域量表来检查生活方式和疲劳变量。所关注的生活方式因素包括饮食、吸烟和饮酒习惯以及工作条件。通过协方差分析检查了预测随访调查中活力领域得分的四年生活方式变化。
在基线调查的6284名参与者中,4507人回复了随访调查,其中3498人(平均年龄37岁,标准差18岁)给出了有效回复。加班工作增加、转为非久坐工作以及餐间进食频率增加等生活方式因素的变化可预测随访时的低活力得分(分别为P < 0.01、P < 0.01和P = 0.02)。
用SF-36的活力领域衡量的上班族疲劳可通过加班工作增加、转为非久坐工作以及餐间进食频率增加来预测。