Risk Factors for Depression Among Middle-Aged to Older People Living With HIV in Lima,Peru

Abstract

Introduction

Depression is prevalent among aging people living with HIV (PLWH) worldwide. We sought to identify depression risk factors among a group of middle-aged and older PLWH in Lima, Peru.

Materials and Methods

We assessed risk factors for depression among PLWH over age 40 receiving care in an HIV clinic in Lima, Peru. The Patient Health Questionnaire-9 (PHQ-9) was administered. We performed descriptive statistics and logistic regression analyses.

Results

Mean age was 51.7 ± 7.7 years with 15.3% females. One-quarter of participants had depression with higher frequency in females. Risk factors that significantly increased the risk of depression included female sex (adjusted prevalence ratio [aPR] = 2.19 [95%CI 1.07-4.49]), currently smoking (aPR = 2.25 [95%CI 1.15-4.43]), and prior opportunistic infection (aPR = 2.24 [95%CI 1.05-4.76]).

Discussion

Our study demonstrates that PLWH who are female, current smokers, or had an opportunistic infection have higher risk of depression. Identifying PLWH at-risk for depression is key to early mental health interventions.

Plain Language Summary

Factors affecting depression in older people with HIV in Peru

Introduction

Depression is common in older people living with HIV (PLWH) worldwide. We identified depression risk factors among a group of middle-aged and older PLWH in Lima, Peru.

Materials and Methods

We assessed risk factors for depression among PLWH over age 40 receiving care in an HIV clinic in Lima, Peru. The Patient Health Questionnaire-9 (PHQ-9) was administered.

Results

Discussion

Keywords

depression people living with HIV Peru Latin America risk factors Patient Health Questionnaire-9

Introduction

Depression is one of the most prevalent and disabling mental health disorders with 280 million people estimated to live with depression worldwide, making depression the second leading cause of morbidity globally.¹ Studies have shown that depression is prevalent, yet under-characterized, in low-to-middle-income countries (LMICs).^2-4 Known risk factors associated with depression globally, include female sex, lower educational level, and unemployed status.^5,6 Depression is also associated with T-lymphocyte activation,⁷ increase in cytokine production^8-10 and HIV receptor expression,¹¹ which may also play a role in modulating HIV disease in people living with HIV (PLWH).

In 2022, more than 38 million people worldwide were living with HIV,¹² a number expected to increase over time, particularly in LMICs. Depressive disorder can be 2 to 3 times higher among PLWH (22%-45%),¹³ compared with people who do not have HIV (3%-17%).³ One systematic review of PLWH in east Africa estimated the frequency of depression to be between 30% and 48%, varying by country and individual characteristics.¹⁴ Among PLWH, factors that increase the risk of depression include social stigma, lower absolute CD4 counts and a prior history of opportunistic infections.^15,16 Moreover, depression in PLWH interferes with patients’ social, work, and family life, further exacerbating depressive symptoms in PLWH.¹⁷ Several factors related to HIV, including social stigma, fear of persecution, or social isolation that may contribute to depression in HIV, yet the effect of risk factors for depression among aging PLWH in many LMICs, including in Peru, has not been studied.

According to The Joint United Nations Programme on HIV/AIDS (UNAIDS), approximately 110 000 individuals in Peru are estimated to live with HIV as of 2022 with 5800 new infections in the year 2022.¹⁸ There are few studies from Peru which have addressed depression in PLWH, mostly focused on young PLWH and lacking information regarding risk factors. Depression was diagnosed in 42% of men who have sex with men and transgender women seeking HIV preventative care in Peru.¹⁹ One qualitative study of PLWH in Lima found that PLWH often sent text messages describing depressive symptoms and sought mental health services particularly during the initial stage of establishing HIV care.²⁰

Our prior study²¹ reported a depression prevalence of 25% among PLWH age≥40 years receiving care at a large nonprofit clinic in central Lima, Peru. This prevalence is comparable to prior studies among older PLWH in Latin America, ranging from 21.3% to 34.6% in Brazil^22-24 and 15.9% in Mexico.²⁵ Determining risk factors for depression among PLWH within a particular country is fundamental to prioritizing and targeting therapies to avoid adverse health outcomes, including suicidal ideation, poor adherence to antiretroviral treatment (ART), HIV disease progression, treatment failure, and poor quality of life.^26,27 However, risk factors for depression among middle-aged and older PLWH in Peru are currently unknown. Therefore, we sought to identify sociodemographic and medical risk factors for depression in this group.

Methods and Materials

Study Participants and Procedures in the Original Study

This is a secondary analysis of data from participants previously enrolled in a cross-sectional study on PLWH in Lima, Peru between September 2019 until March 2020.²¹ We estimated that the 1145 PLWH over age 40 who seek care at the HIV clinic where enrollment occurred were representative of PLWH living in Peru based on Ministry of Health statistics.²⁸ Using an expected prevalence of 20% neurocognitive impairment as described in prior studies,²⁹ we expected 80% power with an enrollment goal of 140 participants with neurocognitive impairment.

The inclusion criteria of the parent study included: men and women aged 40 years or older, record of a positive enzyme-linked immunoassay and western blot tests in their medical chart who had been receiving ART therapy for at least 1 month, Peruvian-born, native Spanish speakers, at least 6 years of schooling (primary school), and the ability and willingness to participate in the study and provide informed consent were recruited from a large HIV clinic in Lima, Peru. Exclusion criteria included: self-reported history of non-HIV-related neuromedical comorbidities that may cause neurocognitive impairment (ie, non-HIV-related neurological disorder that led to neurocognitive impairment [eg, epilepsy or stroke], psychotic disorders [schizophrenia or bipolar disorder], brain injury with loss of consciousness for more than 30 minutes without return to premorbid baseline, current, and lifetime substance use disorder according to the Diagnostic and Statistical Manual of Mental Disorders-5 [DSM-5]). For the current secondary analysis of the parent study data, we included all participants who were enrolled in the parent study and who met the inclusion/exclusion criteria as described.

All participants completed the Patient Health Questionnaire (PHQ)-9 to screen for depression. The PHQ-9 Spanish version used in this study had been previously validated in Spanish for use in Peru (Supplemental File).^30,31 The standard cutoff score to identify any depression (mild, moderate, or severe) is 5 or above.³¹ Other study participant and procedures from the original study are described in detail elsewhere.²¹

Statistical Analyses

Descriptive statistics were computed with means (standard deviations [SD]) or medians (interquartile ranges [IQRs]) for all continuous variables. Frequencies and percentages were computed for categorical data. The frequency of depressive symptoms was defined based on previously determined cutoff scores for depression using the PHQ-9 (5 or above vs <5).³⁰ Two-by-two comparisons between depression status groups (depression vs no depression) were completed using t-test or Pearson correlation. Univariable (without adjustment for covariates) and multivariable regression analyses were performed using generalized linear model with link log and family Poisson to obtain unadjusted and adjusted prevalence ratios (PR). Multivariable analyses were adjusted for the following covariates: sex, age, current alcohol use, current smoker, years with HIV diagnosis, current absolute CD4 count, plasma HIV viral load, prior opportunistic infection, current efavirenz use, and adherence to ART. Collinearity between the covariates for the final model was assessed using the regression collinearity diagnostics, which calculates condition indices and variance decomposition proportions. A P < .05 was considered statistically significant. All statistical analyses were performed using the STATA (College Station, TX, USA).

Results

We included data from 139 PLWH. The large majority were male (84.7%) with a mean age of 51.7 years. Nearly 70% of participants had more than 12 years of education, and 6.6% were currently unemployed. One-quarter of PLWH had depression (Table 1). Current smokers had a statistically significantly higher frequency of depression compared with nonsmokers. No differences were found in depression frequency by demographic variables, current alcohol use, nor HIV characteristic variables, including current efavirenz use, time with HIV diagnosis, HIV viral load, nor current CD4 count.

Table 1.

General Characteristics of PLWH Evaluated in a Single Center in Lima, Peru (N = 139).

	PLWH (N = 139)
	N, Mean	%, SD
Demographics
Age (years)	51.7	7.7
Female sex	22	15.3
Educational level, <12 years	60	41.7
Employment type
Currently working	120	87.0
Retired	9	6.5
Unemployed	9	6.6
Civil Status
Single	93	66.9
Married or domestic partnership	46	33.1
Social or Psychiatric Factors
Depression (PHQ-9≥5)	35	25.2
Current alcohol use	68	47.2
Current smoker	24	16.7
HIV Disease Characteristics
HIV Duration (years)	8.87	12.7
CD4 count, current	553.5	346.5
CD4 count, <500 copies/ml	55	42.9
Plasma HIV viral load detectable⁺	18	14.3
Prior non-CNS opportunistic infection^a	43	29.9
Efavirenz, current use	91	63.2
Not currently on ART	14	9.7

⁺

Mean and SD.

Prior opportunistic infection included any history of: candidiasis, Kaposi's sarcoma, cytomegalovirus, or pneumocystis pneumonia.

Abbreviations: ART, antiretroviral treatment; CNS, central nervous system; IQR, interquartile range; OR, odds ratio; PHQ-9, Patient Health Questionnaire-9; PLWH, people living with HIV; SD, standard deviation.

In an unadjusted regression analysis, female sex was associated with depression (PR: 1.84; 95% CI: 1.01-3.38). Those who were retired had a higher likelihood of depression compared to those who were currently employed (PR: 2.36; 95% CI: 1.15-4.82). In addition, those who were current smokers were nearly twice as likely to be depressed as those who did not smoke (PR: 1.92; 95% CI: 1.06-3.45). Adherence to ART was associated with 50% less depression compared to those with poor adherence (defined as taking ART <95% of the time) (Table 2).

Table 2.

Unadjusted and Adjusted PR for Depression Risk Factors Among People Living With HIV in a Single Center in Lima, Peru (N = 139).

	Unadjusted PR	95% CI	P-value	AdjustedPR^a	95% CI	P-value
Demographics
Sex
Male	Ref.			Ref.
Female	1.84	1.01-3.38	.049	2.19	1.07-4.49	.030
Age (years)
40-49	Ref.			Ref.
50-59	1.01	0.53-1.89	.997	1.24	0.58-2.68	.580
≥60	1.16	0.51-2.64	.717	1.58	0.66-3.78	.308
Educational level (years)
≥12	Ref.			NA
<12	1.61	0.91-2.86	.105
Current employment type
Employed	Ref.			NA
Retired	2.36	1.15-4.82	.019
Unemployed	1.49	0.76-2.89	.242
Civil status
Single	Ref.			NA
Married or domestic partnership	0.71	0.36-1.38	.313
Social factors
Alcohol use
No	Ref.			Ref.
Yes	1.30	0.70-2.21	.466	0.96	0.47-1.94	.898
Current smoker
No	Ref.			Ref.
Yes	1.92	1.06-3.45	.030	2.25	1.15-4.43	.018
HIV characteristics
Year of HIV diagnosis	1.02	0.98-1.06	.438	0.96	0.89-1.03	.209
CD4 count
<500 copies/mL	Ref.			Ref.
≥500 copies/mL	1.80	0.90-3.57	.099	1.69	0.82-3.50	.155
Plasma HIV viral load
Undetectable	Ref.			Ref.
Detectable	1.22	0.54-2.76	.628	1.76	0.66-4.70	.258
Prior non-CNS opportunistic infection^b
No	Ref.			Ref.
Yes	1.73	0.98-3.05	.057	2.24	1.05-4.76	.037
Efavirenz, current use
No	Ref.			Ref.
Yes	0.63	0.36-1.11	.115	0.38	0.16-090	.027
Adherence to ART
No	Ref.			Ref.
Yes	0.55	0.31-0.99	.050	0.79	0.36-1.72	.547

Multivariable analyses were adjusted for the following covariates: sex, age, current alcohol use, current smoker, years with HIV diagnosis, current absolute CD4 count, plasma HIV viral load, prior opportunistic infection, current efavirenz use, adherence to ART.

Prior opportunistic infection included any history of: candidiasis, Kaposi's sarcoma, cytomegalovirus, or pneumocystis pneumonia.

Abbreviations: 95% CI, 95% confidence interval; ART, antiretroviral treatment; CNS, central nervous system; PR, prevalence ratio; Ref., reference; SD, standard deviation.

Bold text, P < .05 (significant).

In the adjusted model, factors that remained statistically significantly associated with depression included: female sex (adjusted PR [aPR]: 2.19; 95% CI: 1.07-4.49), current smoker (aPR: 2.25; 95% CI: 1.15-4.43), and a history of any non-central nervous system (CNS) opportunistic infection (aPR: 2.24; 95% CI: 1.05-4.76). Current efavirenz use was associated with a lower prevalence of depression (aPR: 0.38; 95% CI: 0.16-0.90). No association was observed for CD4 count >500 copies/mL nor detectable HIV viral plasma (Table 2).

Discussion

We present the first study of depression risk factors among a middle-aged and older group of PLWH in Peru and one of the few in Latin America. We found that female sex, currently smoking and having had a prior opportunistic infections were associated with an increased frequency of depression among middle-aged and older PLWH in our study. We also found that current efavirenz use was associated with a lower depression frequency.

In our study, women living with HIV had higher rates of depression than men living with HIV (41% compared with 22% in men). Global trends similarly reflect these sex inequalities with a preponderance of female adults having depression (odds ratio [OR] 1.95) throughout adulthood with a peak depression incidence in adolescence (OR 3.02).³² Factors that influence this higher depression risk in women in the general population are multifactorial with an intersecting effect of literacy and poverty rates, intimate-partner violence, contraception use, perinatal depression, and comorbid medical conditions.³² South American countries carry the highest depression prevalence in the world with women being disproportionately burdened too.^2,33

In Latin America, few studies have focused on sex disparities in mental health outcomes among PLWH. One study from Mexico,²⁵ and another from Brazil²⁴ reported female sex as a risk factor for depression, similar to our findings. We found one study from 2008 of 78 young Peruvian women living with HIV reported 68% had depression, and identified that food insecurity, missing an appointment with their healthcare provider in the past 30 days, high HIV-associated stigma and low social support were risk factors for depression.³⁴ Literature from other LMICs has elucidated factors that may increase depression among females with HIV. For example, one study from Tanzania of pregnant women with HIV found that being single, food insecurity and shame associated with having HIV were factors that increased risk of depression.³⁵ In Zimbabwe, intimate partner violence was identified as a risk factor for depression among pregnant women with HIV.³⁶ Although we did not measure any of these factors in our study, similar risk factors may impact older women with HIV increasing depression risk in Peru that should be evaluated.

Being a current smoker was associated with a higher frequency of depression in our study, as has been reported in other studies. In one study across 7 US sites, depression was common among PLWH who smoke cigarettes (22%).³⁷ Those with depression were less likely to have ceased smoking after 4 years.³⁸ Another study in Vietnam found that the prevalence of depression among smokers with HIV was 38.3%, and those who had higher levels of tobacco dependence were more likely to have depression.³⁹ The results of our study and those of other studies highlight the association between smoking and depression in PLWH and that PLWH who currently smoke may need screening for depression.

Our study found an association between a prior non-CNS opportunistic infection and depression in adjusted regression analyses, including a history of candidiasis, Kaposi's sarcoma, cytomegalovirus, or pneumocystis pneumonia, similar to findings of other studies worldwide. For example, one meta-analysis of studies of PLWH in Ethiopia found opportunistic infections increased the risk of depression by an adjusted odds ratio of 3.0 (2.182, 4.151).⁴⁰ One of the studies in Ethiopia found that those with a prior history of opportunistic infections, controlling for CD4 count, found a significant association with depressive symptoms.⁴¹ In another study in Somalia, having a current opportunistic infection was associated with depressive symptoms as well.¹³ Having a history of or current non-CNS opportunistic infection may be an indicator to clinicians to screen PLWH for depression, in addition to the other factors identified in our study.

Unlike results from many studies on efavirenz, we found that current efavirenz use was associated with lower depression frequency. Neuropsychiatric side effects of efavirenz have been widely reported. A prospective study of PLWH with neuropsychiatric symptoms found that efavirenz was associated with sleep disturbances (75%), anxiety (65%), depression (39%), and attention disturbances (31%).⁴² In Tanzania, depression scores were higher for those on efavirenz (Cohen's D: 0.38; P = .02).⁴³ A similar study in Ecuador of PLWH on efavirenz found that 40% had mild depression after 8-12 weeks of treatment initiation with efavirenz-based ART, but on a second depression assessment (median 69 days after ART initiation), depression prevalence had decreased to 22%.⁴⁴ which may have attenuated the effect of efavirenz on depression.

Our study has limitations that are difficult to address. First, this is a secondary analysis of cross-sectional data, therefore we can calculate associations but not causality. Also, there were several possible risk factors that were not collected in the parent study and so couldn’t be analyzed. Next, this is a single-center study in a large urban city, thus results cannot be generalized across Peru. Next, we used a brief validated depression screening and did not perform a comprehensive psychiatric evaluation of enrolled participants. Despite this, most of the studies regarding depression in PLWH have used the same instrument and the PHQ-9 has been validated for in Peru and has high sensitivity and specificity for depression.³⁰ Despite these limitations, our study offers valuable insight into risk factors for depression in aging PLWH in Peru.

Conclusions

We identified significant associations between female sex, current smoker and prior opportunistic infection with higher risk of depression in older PLWH. These risk factors may identify PLWH who may be considered for depression screening by primary care providers. Public health strategies should focus on prevention and early intervention of mental health services into HIV care. In Peru, identifying those at highest risk for depression based on the risk factors identified in our study and offering early mental health services is crucial for improving quality of life and adherence to ART.

Supplemental Material

sj-docx-1-jia-10.1177_23259582241273452 - Supplemental material for Risk Factors for Depression Among Middle-Aged to Older People Living With HIV in Lima, Peru

Supplemental material, sj-docx-1-jia-10.1177_23259582241273452 for Risk Factors for Depression Among Middle-Aged to Older People Living With HIV in Lima, Peru by Virgilio E Failoc-Rojas, Dan Tong Jia, Marcela Gil-Zacarias, Alana Latorre, Robinson Cabello, Patricia J Garcia and Monica M Diaz in Journal of the International Association of Providers of AIDS Care (JIAPAC)

Footnotes

Acknowledgments

We would like to acknowledge staff and patients of Via Libre in Lima, Peru. We would like to thank the biostatisticians at UNC, Dr Quefeng Li and Mr Longfei Zhang for reviewing the statistical analyses in this study.

Author Contributions

VEF-R was involved in drafting of the manuscript and statistical analyses; DJJ and AL in drafting of the manuscript; MG-Z in data collection and drafting of the manuscript; RC and PJG in conceptualization and critical revision; and MMMD in data collection, drafting of the manuscript, conceptualization, and critical revision.

Declaration of Conflicting Interests

The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This project was supported by the Fogarty International Center of the National Institutes of Health (NIH) under Award Number D43TW009343 and the University of California Global Health Institute (UCGHI). Dr Diaz is currently funded by the NIMH, Alzheimer's Association and the American Academy of Neurology.

Ethical Approval

All participants had provided written informed consent prior to being enrolled in the parent study which was approved by the institutional review boards of Universidad Peruana Cayetano Heredia (Lima, Peru) and Via Libre (Lima, Peru). No additional ethical approval was needed for analysis of the de-identified dataset utilized for this study.

ORCID iD

Monica M Diaz

Supplemental Material

Supplemental material for this article is available online.

References

World Health Organization. Depressive disorder (depression). Fact Sheet. https://www.who.int/news-room/fact-sheets/detail/depression.

Lim

Tam

Zhang

. Prevalence of depression in the community from 30 countries between 1994 and 2014. Sci Rep. 2018;8:2861.

Silva

Galvao

Martins

Pereira

. Prevalence of depression morbidity among Brazilian adults: a systematic review and meta-analysis. Braz J Psychiatry. 2014;36(3):262-270.

Thibaut

Mwamuka

Nyamayaro

, et al. Cognitive performance in depression in low- and middle-income countries: a systematic review with meta-analytic components. J Affect Disord. 2023;342:16-32.

Buckman

JEJ

Saunders

Stott

, et al. Socioeconomic indicators of treatment prognosis for adults with depression: a systematic review and individual patient data meta-analysis. JAMA Psychiatry. 2022;79(5):406-416.

Gascón

MRP

Vidal

Mazzaro

, et al. Neuropsychological assessment of 412 HIV-infected individuals in São Paulo, Brazil. AIDS Patient Care STDS. 2018;32(1):1-8.

Alvarez-Mon

Gomez-Lahoz

Orozco

, et al. Blunted expansion of regulatory T lymphocytes is associated with increased bacterial translocation in patients with major depressive disorder. Front Psychiatry. 2021;11:591962.

Yen

Chen

Huang

Liang

. Changes in cytokine and chemokine expression distinguish dysthymic disorder from major depression and healthy controls. Psychiatry Res. 2017;248:20-27.

Cavaleri

Bartoli

Capogrosso

, et al. Blood concentrations of neopterin and biopterin in subjects with depression: a systematic review and meta-analysis. Prog Neuropsychopharmacol Biol Psychiatry. 2023;120:110633.

10.

Lorenz

Misra

Gabuzda

. Transcriptomic analysis of monocytes from HIV-positive men on antiretroviral therapy reveals effects of tobacco smoking on interferon and stress response systems associated with depressive symptoms. Hum Genomics. 2019;13(1):59.

11.

Greeson

Gettes

Spitsin

, et al. The selective serotonin reuptake inhibitor citalopram decreases human immunodeficiency virus receptor and coreceptor expression in immune cells. Biol Psychiatry. 2016;80(1):33-39.

12.

Global HIV & AIDS statistics—Fact sheet. UNAIDS. https://www.unaids.org/en/resources/fact-sheet.

13.

Mohamud

Ahmed

Mohamud

Dirie

. Prevalence of and factors associated with depression among adult patients living with HIV/AIDs undergoing ART unit in Banadir Hospital, Mogadishu Somalia. BMC Psychiatry. 2023;23(1):232.

14.

Ayano

Solomon

Abraha

. A systematic review and meta-analysis of epidemiology of depression in people living with HIV in east Africa. BMC Psychiatry. 2018;18(1):254.

15.

Rivera-Rivera

Vázquez-Santiago

Albino

Sánchez

Rivera-Amill

. Impact of depression and inflammation on the progression of HIV disease. J Clin Cell Immunol. 2016;7(3):423.

16.

Tran

RCM

CSH

, et al. Depression among patients with HIV/AIDS: research development and effective interventions (GAPRESEARCH). Int J Environ Res Public Health. 2019;16(10):1772.

17.

Mudra Rakshasa-Loots

Whalley

Vera

Cox

. Neuroinflammation in HIV-associated depression: evidence and future perspectives. Mol Psychiatry. 2022;27(9):3619-3632.

18.

UNAIDS. Peru, 2022. HIV and AIDS Estimates. https://www.unaids.org/en/regionscountries/countries/peru.

19.

Galea

Marhefka

León

, et al. High levels of mild to moderate depression among men who have sex with men and transgender women in Lima, Peru: implications for integrated depression and HIV care. AIDS Care. 2022;34(12):1534-1539.

20.

Bayona

Menacho

Segura

, et al. The experiences of newly diagnosed men who have sex with men entering the HIV care cascade in Lima, Peru, 2015-2016: a qualitative analysis of counselor-participant text message exchanges. Cyberpsychol Behav Soc Netw. 2017;20(6):389-396.

21.

Diaz

Zacarías

Sotolongo

, et al. Characterization of HIV-associated neurocognitive impairment in middle-aged and older persons with HIV in Lima, Peru. Front Neurol. 2021;12:629257.

22.

Pinheiro

Souza

Motta

, et al. Depression and diagnosis of neurocognitive impairment in HIV-positive patients. Braz J Med Biol Res. 2016;49(10):e5344.

23.

Fernandes Filho

de Melo

. Frequency and risk factors for HIV-associated neurocognitive disorder and depression in older individuals with HIV in northeastern Brazil. Int Psychogeriatr. 2012;24(10):1648-1655.

24.

Carmo

Filho Ad

Fakoury

Eyer-Silva

WdA

Neves-Motta

Kalil

Ferry

. Factors associated with a diagnosis of major depression among HIV-infected elderly patients. Rev Soc Bras Med Trop. 2013;46(3):352-354.

25.

Avila-Funes

Zamudio-Rodríguez

Muñoz-Nevárez

, et al. Correlates of depressive symptoms among older adults living with HIV. Int J Geriatr Psychiatry. 2018.

26.

Kamat

Morgan

Marcotte

, et al. Implications of apathy and depression for everyday functioning in HIV/AIDS in Brazil. J Affect Disord. 2013;150(3):1069-1075.

27.

Uthman

Magidson

Safren

Nachega

. Depression and adherence to antiretroviral therapy in low-, middle- and high-income countries: a systematic review and meta-analysis. Curr HIV/AIDS Rep. 2014;11(3):291-307.

28.

Boletín VIH, Centro Nacional de Epidemiología, Prevención y Control de Enfermedades. Perú Ministerio de Salud. https://www.dge.gob.pe/portal/index.php?option=com_content&view=article&id=362&Itemid=362. Publicado el 2018. Accedido el 15 de mayo de 2019.

29.

Heaton

Franklin

Ellis

, et al. HIV-associated neurocognitive disorders before and during the era of combination antiretroviral therapy: differences in rates, nature, and predictors. J Neurovirol. 2011;17(1):3-16.

30.

Smith

Sanchez

Rondon

Gradus

Gelaye

. Validation of the Patient Health Questionnaire-9 (PHQ-9) for detecting depression among pregnant women in Lima, Peru. Curr Psychol. 2022;41(6):3797-3805.

31.

Villarreal-Zegarra

Copez-Lonzoy

Bernabe-Ortiz

Melendez-Torres

Bazo-Alvarez

. Valid group comparisons can be made with the Patient Health Questionnaire (PHQ-9): a measurement invariance study across groups by demographic characteristics. PLoS ONE. 2019;14(9):e0221717.

32.

Salk

Hyde

Abramson

. Gender differences in depression in representative national samples: meta-analyses of diagnoses and symptoms. Psychol Bull. 2017;143(8):783-822.

33.

Corcoran

Marinescu

Vogelsang

Kim

Morgan

. Prevalence of depression in women with low income living in developed countries. Depress Anxiety. 2021;38(10):1046-1053.

34.

Munoz

Espiritu

, et al. Burden of depression among impoverished HIV-positive women in Peru. J Acquir Immune Defic Syndr. 2008;48(4):500-504.

35.

Ngocho

Watt

Minja

, et al. Depression and anxiety among pregnant women living with HIV in Kilimanjaro region, Tanzania. PLoS ONE. 2019;14(10):e0224515.

36.

Nyamukoho

Mangezi

Marimbe

Verhey

Chibanda

. Depression among HIV positive pregnant women in Zimbabwe: a primary health care based cross-sectional study. BMC Pregnancy Childbirth. 2019;19(1):53.

37.

Hahn

Ruderman

Nance

, et al. Vaporized nicotine (E-cigarette) and tobacco smoking among people with HIV: use patterns and associations with depression and panic symptoms. J Acquir Immune Defic Syndr. 2023;92(3):197-203.

38.

Lam

Levine-Hall

Hood

, et al. Smoking and cessation treatment among persons with and without HIV in a U.S. integrated health system. Drug Alcohol Depend. 2020;213:108128.

39.

Nguyen

, et al. Depression and associated factors among HIV-positive smokers receiving care at HIV outpatient clinics in Vietnam: a cross-sectional analysis. BMJ Open. 2024;14(2):e077015.

40.

Zewudie

Geze

Mesfin

, et al. A systematic review and meta-analysis on depression and associated factors among adult HIV/AIDS-positive patients attending ART clinics of Ethiopia: 2021. Depress Res Treat. 2021;2021:8545934.

41.

Damtie

Kefale

Yalew

, et al. Depressive symptoms and associated factors among HIV positive patients attending public health facilities of Dessie town: a cross-sectional study. PLoS ONE. 2021;16(8):e0255824.

42.

Pedrol

Llibre

Tasias

, et al. Outcome of neuropsychiatric symptoms related to an antiretroviral drug following its substitution by nevirapine: the RELAX study. HIV Med. 2015;16(10):628-634.

43.

Sumari-de Boer

Schellekens

Duinmaijer

, et al. Efavirenz is related to neuropsychiatric symptoms among adults, but not among adolescents living with human immunodeficiency virus in Kilimanjaro, Tanzania. Trop Med Int Health. 2018;23(2):164-172.

44.

Checa

Castillo

Camacho

Tapia

Hernandez

Teran

. Depression is associated with efavirenz-containing treatments in newly antiretroviral therapy initiated HIV patients in Ecuador. AIDS Res Ther. 2020;17(1):47.

Supplementary Material

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