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李相荣, 汤榕. 宁夏居民生命质量现状及影响因素分析[J]. 中国公共卫生, 2018, 34(5): 693-695. DOI: 10.11847/zgggws1115779
引用本文: 李相荣, 汤榕. 宁夏居民生命质量现状及影响因素分析[J]. 中国公共卫生, 2018, 34(5): 693-695. DOI: 10.11847/zgggws1115779
Xiang-rong LI, Rong TANG. Health related quality of life and its influencing factors among residents in Ningxia[J]. Chinese Journal of Public Health, 2018, 34(5): 693-695. DOI: 10.11847/zgggws1115779
Citation: Xiang-rong LI, Rong TANG. Health related quality of life and its influencing factors among residents in Ningxia[J]. Chinese Journal of Public Health, 2018, 34(5): 693-695. DOI: 10.11847/zgggws1115779

宁夏居民生命质量现状及影响因素分析

Health related quality of life and its influencing factors among residents in Ningxia

  • 摘要:
      目的  了解宁夏当地居民生命质量现状,找出影响生命质量的主要因素,为增进宁夏地区人群生命质量提供参考依据。
      方法  于2015年9 — 11月,采用分层整群抽样方法对4 465名年龄 ≥ 18岁宁夏居民进行居民生活质量状况及影响因素问卷调查。
      结果  宁夏居民在生理维度(64.28 ± 13.28)、心理维度(57.29 ± 9.91)、独立性维度(62.37 ± 10.90)、社会关系维度(67.48 ± 11.20)、环境维度(55.20 ± 7.86)、精神维度(46.27 ± 18.12)得分与全国一般水平生命质量维度的常模进行比较差异均有统计学意义(P < 0.01)。单因素分析时,年龄、性别、民族、受教育程度、婚姻状况、家庭月收入均与生命质量总得分间有关系。进一步多因素分析,在排除了各影响因素的共同作用后,对生命质量各维度及总得分主要影响因素有年龄、文化程度、家庭月收入以及婚姻状况(均P < 0.05)。
      结论  宁夏居民总体生命质量状况良好,其主要影响因素为年龄、婚姻状况、受教育程度、家庭月收入。

     

    Abstract:
      Objective  To examine the status of quality of life (QoL) and explore main influencing factors of QoL among residents of Ningxia Hui Autonomous Region (Ningxia) and to provide evidences for promoting QoL in the population.
      Methods  We recruited 4 465 residents aged ≥ 18 years in three municipalities of Ningxia with stratified random cluster sampling and conducted a questionnaire survey on QoL and its influencing factors from September to November 2015. World Health Organization Quality of Life Scale was adopted in the study.
      Results  For all the participants, the scores of physical, psychological, independence, social, environment, and spiritual domain were 64.28 ± 13.28, 57.29 ± 9.91, 62.37 ± 10.90, 67.48 ± 11.20, 55.20 ± 7.86, and 46.27 ± 18.12, respectively, and all the domain scores were significantly different form those the national norm (all P < 0.01). Univariate analyses showed that age, gender, nationality, education level, marital status, and household monthly income were closely related to total QoL score; further multivariate analyses revealed that all the QoL domain scores and total score were influenced significantly by age, education level, household monthly income, and marital status after adjusting for other confounding factors (P < 0.05 for all).
      Conclusion  The overall quality of life is at a good level and mainly influenced by age, marital status, education, and household monthly income among adult residents in Ningxia.

     

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