张红杰, 董玉平, 刘辉. 保定市354名女性进城务工者生存质量调查[J]. 环境与职业医学, 2013, 30(7): 548-550.
引用本文: 张红杰, 董玉平, 刘辉. 保定市354名女性进城务工者生存质量调查[J]. 环境与职业医学, 2013, 30(7): 548-550.
ZHANG Hong-jie , DONG Yu-ping , LIU Hui . Quality of Life among 354 Female Migrant Workers in Baoding[J]. Journal of Environmental and Occupational Medicine, 2013, 30(7): 548-550.
Citation: ZHANG Hong-jie , DONG Yu-ping , LIU Hui . Quality of Life among 354 Female Migrant Workers in Baoding[J]. Journal of Environmental and Occupational Medicine, 2013, 30(7): 548-550.

保定市354名女性进城务工者生存质量调查

Quality of Life among 354 Female Migrant Workers in Baoding

  • 摘要: 目的 了解女性进城务工者的生存质量及其影响因素,为制定相关政策提供依据。

    方法 采用分层-整群抽样法,首先按照女性进城务工者相对集中的行业分层,于每层中随机抽取不同规模的单位,对抽中单位的女性进城务工者全部进行调查。共调查354 名在保定市从业的女性进城务工者,利用世界卫生组织生命质量测量简表(WHOQOL-BREF)对其生存质量进行调查,并对年龄、文化程度、来源地、收入等影响因素进行分析。采用EpiData 3.0建立数据库,用SPSS 16.0 统计软件包进行数据分析。

    结果 女性进城务工者生理领域得分(14.92& #177;2.05),与常模比较差别无统计学意义(P>0.05)。心理领域得分(13.01& #177;1.75)和环境领域得分(10.88& #177;2.72)却显著低于常模(均为P<0.01),社会领域得分(14.88& #177;2.14)高于常模(P< 0.01)。多元回归分析显示,每周没有休息时间、月收入较低、在外省务工以及文化程度较低的女性进城务工者生存质量较低。

    结论 女性进城务工者生存质量较低,受到每周休息时间、月收入水平、是否在外省务工以及文化程度的影响。

     

    Abstract: Objective To investigate the quality of life and its influencing factors among female migrant workers and to provide basis for making relevant policies.

    Methods A total of 354 female migrant workers were selected from enterprises of various sizes and industries in Baoding using stratified and cluster sampling strategy. The WHO Quality of Life-BREF (WHOQOL-BREF) questionnaire was adopted to the investigation. The potential influencing factors included age, education, provenance, and income. EpiData 3.0 was used to establish a database and SPSS 16.0 was used to perform data analysis.

    Results The female migrant workers scored an average of 14.92& #177;2.05 in physical health domain, and there was no significant difference in comparison with the norms (P>0.05). The average scores of psychological health domain (13.01& #177;1.75) and environment domain (10.88& #177;2.72) were remarkably lower than the corresponding norms respectively (P< 0.01), and that of social relationship domain (14.88& #177;2.14) was statistically higher (P< 0.01). The results of multinomial regression analysis revealed that influencing factors of quality of life were no off-work days, low monthly income, not working in native province, and low education level.

    Conclusion The low quality of life among the female migrant workers is affected by weekly off-work days, monthly income, whether or not working in native province, and education level.

     

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