TY - JOUR
T1 - A longitudinal study of predictors of depression among people living with HIV in Malang, Indonesia
AU - Wardojo, Sri Sunaringsih Ika
AU - Chuang, Kun Yang
AU - Rosadi, Rakhmad
N1 - Publisher Copyright:
© 2022, Pakistan Medical Association. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Objective: To analyze the correlation between predictors (social support, resilience, and stigma) and depression among people living with HIV/AIDS (PLHIV) in Malang over one year of study. Methodology: Initially, 634 persons consented to participate. After one year of follow-up, there were 496 remained (June 2020 to September 2021). Baseline questions measured were sociodemographic characteristics, medications, social support, resilience, stigma and depression. After one-year of follow-up, multivariate logistic regression models were used to analyze the correlation between predictors and depression. Results: The multivariate logistic regression showed that social support, resilience, and stigma were significant predictors of depression (p < 0.05). Patients with higher levels of social support and resilience were 0.92 and 0.91 less likely to be depressed, respectively. Participants with a higher stigma were 1.04 times more likely to suffer from depression. Conclusion: Worsening depressing within one-year of follow-up might significantly be correlated with increasing stigma, less resilience, and less of social support. Therefore, this study’s results might give a significantrecommendation for the Government for developing HIV policy, which also addressing their mental health issue through maintaining their social support and resilience, and minimalizing stigma against PLHIV.
AB - Objective: To analyze the correlation between predictors (social support, resilience, and stigma) and depression among people living with HIV/AIDS (PLHIV) in Malang over one year of study. Methodology: Initially, 634 persons consented to participate. After one year of follow-up, there were 496 remained (June 2020 to September 2021). Baseline questions measured were sociodemographic characteristics, medications, social support, resilience, stigma and depression. After one-year of follow-up, multivariate logistic regression models were used to analyze the correlation between predictors and depression. Results: The multivariate logistic regression showed that social support, resilience, and stigma were significant predictors of depression (p < 0.05). Patients with higher levels of social support and resilience were 0.92 and 0.91 less likely to be depressed, respectively. Participants with a higher stigma were 1.04 times more likely to suffer from depression. Conclusion: Worsening depressing within one-year of follow-up might significantly be correlated with increasing stigma, less resilience, and less of social support. Therefore, this study’s results might give a significantrecommendation for the Government for developing HIV policy, which also addressing their mental health issue through maintaining their social support and resilience, and minimalizing stigma against PLHIV.
KW - AIDS
KW - Depression
KW - HIV
KW - social support
KW - stigma
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U2 - 10.5455/rmj.129848.20221115121408
DO - 10.5455/rmj.129848.20221115121408
M3 - Article
AN - SCOPUS:85143908189
SN - 0303-5212
VL - 47
SP - 796
EP - 802
JO - Rawal Medical Journal
JF - Rawal Medical Journal
IS - 4
ER -