刘俊阳, 李晓军, 戴俊明, 范春如, 高俊岭, 徐翠, 傅华. 某市三城区生活环境对居民抑郁症状的影响[J]. 环境与职业医学, 2014, 31(11): 841-845. DOI: 10.13213/j.cnki.jeom.2014.0204
引用本文: 刘俊阳, 李晓军, 戴俊明, 范春如, 高俊岭, 徐翠, 傅华. 某市三城区生活环境对居民抑郁症状的影响[J]. 环境与职业医学, 2014, 31(11): 841-845. DOI: 10.13213/j.cnki.jeom.2014.0204
LIU Jun-yang , LI Xiao-jun , DAI Jun-ming , FAN Chun-ru , GAO Jun-ling , XU Cui , FU Hua . Influence of Living Environment on Depressive Symptoms among Residents of Three Districts in a City[J]. Journal of Environmental and Occupational Medicine, 2014, 31(11): 841-845. DOI: 10.13213/j.cnki.jeom.2014.0204
Citation: LIU Jun-yang , LI Xiao-jun , DAI Jun-ming , FAN Chun-ru , GAO Jun-ling , XU Cui , FU Hua . Influence of Living Environment on Depressive Symptoms among Residents of Three Districts in a City[J]. Journal of Environmental and Occupational Medicine, 2014, 31(11): 841-845. DOI: 10.13213/j.cnki.jeom.2014.0204

某市三城区生活环境对居民抑郁症状的影响

Influence of Living Environment on Depressive Symptoms among Residents of Three Districts in a City

  • 摘要: 目的 了解攀枝花市居民抑郁症状,探索当地生活环境对居民抑郁症状的影响。

    方法 采用分层多阶段随机抽样的方法,在攀枝花市居民中进行抽样,由研究对象自主完成自拟调查问卷《攀枝花市居民健康评估调查表》,共回收有效问卷1 762 份。问卷包括一般人口学特征、抑郁测量工具以及生活环境评估工具等。调查表中的抑郁测量工具采用病人健康问卷(PHQ-9)中文版,分别检测过去两周抑郁症状发生的频率、社会功能受损情况。生活环境评估包括周边公共场所便利程度、当地公共服务水平、社区公共安全、社区环境质量4 个子量表。运用卡方检验与多因素logistic 回归分析人口学特征和生活环境对抑郁症状的影响。

    结果 共调查居民1 762 人,调查对象年龄为(37.4& #177;15.8)岁,男性占42.4%,女性占57.6%。当地居民抑郁症状检出率为52.4%。多因素分析结果显示,在调整人口学特征后,以公共场所便利程度较差组为对照,较好组抑郁症状阳性的OR为0.56(95% CI:0.43~0.72);以公共安全问题较大组为对照,无问题组抑郁症状阳性的OR为0.53(95% CI:0.39~0.71);以社区环境质量较差组为对照,较好组抑郁症状阳性的OR为0.48(95% CI:0.35~0.65)。

    结论 当地居民抑郁症状检出率较高;生活环境会影响居民抑郁症状,良好的生活环境可能是抑郁症状的保护因素。

     

    Abstract: Objective To estimate the prevalence of depressive symptoms among residents in Panzhihua City and explore the influence of living environment on local residents' depressive symptoms.

    Methods A total of 1 762 valid self-administered health assessment questionnaires were collected from residents selected by stratified multi-stage random sampling techniques in Panzhihua City. The questionnaires included demographic characteristics, depression measurement, and living environment assessment. The depressive symptoms were assessed with Patient Health Questionnaire (PHQ-9) which was used to detect the frequency of depressive symptoms and social function damage in the past two weeks. The assessment of living environment included four parts: accessibility to public places, level of public service, security of community, and quality of community environment. Chi-square test and logistic regression were used to analyze the influence of demographic characteristics and living environment on depressive symptoms.

    Results Of the 1 762 residents surveyed, the average age was (37.4& #177;15.8) years; men accounted for 42.4% and women accounted for 57.6%. The detection rate of depressive symptoms was 52.4%. The results of multi-factor analysis showed that after adjusted for demographic characteristics, those with better accessibility to public places had lower odds of depressive symptoms compared with those with worse accessibility odds ratio (OR)=0.56, 95% CI: 0.43-0.72; those without security problems had lower odds of depressive symptoms compared with those having seurity problems (OR=0.53, 95% CI: 0.39-0.71); those living in better community environment had lower odds of depressive symptoms compared with those living in worse community environment (OR=0.48, 95% CI: 0.35-0.65).

    Conclusion The detection rate of depressive symptoms among the local residents is relatively high. Living environment shows influence on depressive symptoms, and good living environment could be a protection factor of depressive symptoms.

     

/

返回文章
返回