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陈洁瑜, 邝柳燕, 邓蓉, 经媛, 孙晓敏, 于林, 罗仁, 赵晓山. 中学教师亚健康疲劳与健康促进生活方式[J]. 中国公共卫生, 2019, 35(11): 1492-1495. DOI: 10.11847/zgggws1113370
引用本文: 陈洁瑜, 邝柳燕, 邓蓉, 经媛, 孙晓敏, 于林, 罗仁, 赵晓山. 中学教师亚健康疲劳与健康促进生活方式[J]. 中国公共卫生, 2019, 35(11): 1492-1495. DOI: 10.11847/zgggws1113370
Jie-yu CHEN, Liu-yan KUANG, Rong DENG, . Associations between fatigue of suboptimal health and health-promoting lifestyle among middle school teachers[J]. Chinese Journal of Public Health, 2019, 35(11): 1492-1495. DOI: 10.11847/zgggws1113370
Citation: Jie-yu CHEN, Liu-yan KUANG, Rong DENG, . Associations between fatigue of suboptimal health and health-promoting lifestyle among middle school teachers[J]. Chinese Journal of Public Health, 2019, 35(11): 1492-1495. DOI: 10.11847/zgggws1113370

中学教师亚健康疲劳与健康促进生活方式

Associations between fatigue of suboptimal health and health-promoting lifestyle among middle school teachers

  • 摘要:
      目的  探讨健康促进生活方式对中学教师亚健康疲劳影响。
      方法  2013年4 — 5月采用横断面调查方法在广东省广州市采用简单随机抽样(随机数表法)随机抽取3个区的中学教师8 111名作为调查对象,在被调查者年度体检时进行现场调查。健康状况及疲劳的判定主要结合被调查者的体检报告及亚健康评定量表(SHMS V1.0),生活方式的评估使用健康促进生活方式量表(HPLP-II)。
      结果  共有1 586人发生疲劳,疲劳的现患率为19.55 %,其中,亚健康疲劳31.72 %(503人),疾病疲劳65.89 %(1 045人),远高于健康者疲劳2.39 %(38人)。回归分析发现健康促进生活方式对亚健康疲劳有明显影响(P < 0.05),在校正一般人口学资料的模型中,相对于优秀的促进健康生活方式(最小暴露者),差的生活方式(最高暴露者)发生亚健康疲劳的危险性高达70倍(OR = 69.63,95 % CI = 26.80~180.87),一般的生活方式(较高暴露者)发生亚健康疲劳的危险性高达16倍(OR = 15.87,95 % CI = 8.43~29.89),次优的生活方式发生亚健康疲劳的危险性为2倍(OR = 2.05,95 % CI = 1.07~3.93);而且进一步的回归分析显示HPLP-II6个维度处于差的、一般的及次优的等级时,处于亚健康疲劳的危险度也增加(P < 0.05),其中,差的、一般的压力管理、人际关系、心灵成长对亚健康疲劳发生的危险度较高。
      结论  亚健康疲劳与不良生活方式影响因素密切相关。

     

    Abstract:
      Objective  To investigate how health-promoting lifestyle affecting on the fatigue of suboptimal health (FSH) among middle school teachers.
      Methods  A cross-sectional survey was conducted among 8 111 middle school teachers randomly selected in three districts of Guangzhou city. The participants were asked to complete the Health-Promoting Lifestyle Profile (HPLP-II) and Sub-Health Measurement Scale V1.0 (SHMS V1.0) while taking routine physical examination between April and May 2013. Health status and fatigue of the participants were assessed based on physical examination reports and SHMS V1.0 and lifestyle was evaluated with HPLP-II.
      Results  Among the 8 111 participants, 1 586 reported fatigue status and the prevalence rate of fatigue was 19.55%. Of the participants reporting fatigue status, 31.72% (503) and 65.89% (1 045) were categorized as suboptimal health-related and disease-related fatigue, much higher than the ratio (2.39%, 38) of fatigue under normal health. Regression analyses revealed a significant association between suboptimal health-related fatigue and healthy lifestyle (P < 0.05). After adjusting for demographic variables, the participants with poor lifestyle were approximately 70 times (odds ratio OR: 69.63, 95% confidence interval 95% CI: 26.80 – 180.87) more likely to have FSH, while those with general and suboptimal lifestyle were about 16 times (OR: 15.87, 95% CI: 8.43 – 29.89) and 2 times (OR: 2.05, 95% CI: 1.07 – 3.93) more likely to have FSH compared to the participants with excellent health-promoting lifestyle. Further regression analyses demonstrated that the participants with poor, general and suboptimal status of six dimensional lifestyle defined in HPLP-II were also at higher risk of FSH (P < 0.05 for all), especially for those with unhealthy status for the dimensions of stress management, interpersonal relationship, and spiritual growth.
      Conclusions  Un-healthy lifestyles are significantly related to an increased risk of fatigue of suboptimal health among middle school teachers.

     

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