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Differential effects of unemployment on depression in people living with HIV/AIDS: a quantile regression approach
Authors:Chengbo Zeng  Y. Alicia Hong  Shelene Gentz  Jinxin Zhang  Hanxi Zhang
Affiliation:1. Department of Biostatistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, People’s Republic of China"ORCIDhttps://orcid.org/0000-0002-3512-1115;2. School of Public Health, Texas A&3. M University, College Station, TX, USA;4. Department of Human Science, University of Namibia, Windhoek, Namibia"ORCIDhttps://orcid.org/0000-0002-3394-0897;5. Department of Biostatistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, People’s Republic of China;6. Department of Biostatistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, People’s Republic of China"ORCIDhttps://orcid.org/0000-0002-2193-9581
Abstract:ABSTRACT

Unemployment is associated with depression in people living with HIV (PLWH). However, few studies have examined the effects of unemployment on PLWH with different levels of depression. The current study explores the plausible differential effects of unemployment on the different percentiles of depression in PLWH employing a quantile regression (QR) approach, based on a recent survey of 411 PLWH in China. Among participants, 47.7% had elevated depressive symptoms, and 23.8% were unemployed. The effects of unemployment on depression were statistically significant with a trend of initial increase followed by a decline at the quantile levels of 0.51–0.90 of depression. The maximum effect of unemployment status on depression was statistically significant at the 70th and 75th percentiles of depression (coefficient?=?7.0, p?
Keywords:HIV  unemployment  depression  quantile regression  China
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