Structural validation of The Patient Health Questionnaire-9 (PHQ-9) among Filipina and Indonesian female migrant domestic workers in Macao STRUCTURAL VALIDATION OF PHQ-9
Structural validation of The Patient Health Questionnaire-9 (PHQ-9) among Filipina and Indonesian female migrant domestic workers in Macao STRUCTURAL VALIDATION OF PHQ-9
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DOI：
10.1016/j.psychres.2020.113575
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发表时间：
2021-01-01
影响因子：
11.3
通讯作者：
Tjipto, Susana
中科院分区：
文献类型：
--
作者：
Hall, Brian J.;Patel, Anushka;Tjipto, Susana
在全球不同的人群中，需要有效的工具来评估常见的精神障碍。患者健康问卷-9 （PHQ-9）是最常用的抑郁症筛查工具之一。然而，PHQ-9尚未在女性流动家庭佣工（mdw）中得到结构验证。女性伤残妇女的人数为1150万，她们通常报告患有抑郁症。本研究旨在对中国澳门特别行政区菲律宾籍和印尼籍女性佣工的PHQ-9进行结构验证。参与者采用受访者驱动的抽样方式招募。参与者为在澳门合法工作的菲律宾（N=1375）或印尼（N=367）成年女性佣工。我们使用验证性因子分析（CFA）对菲律宾和印度尼西亚样本的所有PHQ-9项目进行抑郁的五种结构模型检验。我们应用多组CFA来检验样本间的测量不变性。双因素（认知/情感，躯体）模型在两个样本中产生最佳拟合，多组CFA在样本中表现出不变性。双因子模型最能反映菲律宾和印尼女性佣工PHQ-9的因子结构。
Within diverse global populations, validated tools are needed to assess common mental disorders. The Patient Health Questionnaire-9 (PHQ-9) is one of the most commonly used depression screeners. However, the PHQ-9 has not been structurally validated among female migrant domestic workers (MDWs). Female MDWs constitute a population numbering 11.5 million, and commonly report depression. This study aimed to structurally validate the PHQ-9 among Filipina and Indonesian female MDWs in Macao Special Administrative Region of China. Participants were recruited using respondent driven sampling. Participants were adult female MDWs from The Philippines (N=1375) or Indonesia (N=367) and legally working in Macao. We used confirmatory factor analysis (CFA) to test five structural models of depression using all PHQ-9 items with the Filipina and Indonesian samples. We applied multi-group CFA to test measurement invariance across samples. A two-factor (cognitive/ affective, somatic) model yielded the best fit within both samples, and the multi-group CFA demonstrated invariance across samples. The two-factor model best represents the factor structure of the PHQ-9 among Filipina and Indonesian female MDWs.