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Journal of the International AIDS Society logoLink to Journal of the International AIDS Society
. 2024 Oct 7;27(10):e26359. doi: 10.1002/jia2.26359

Prevalence and co‐occurrence of symptoms of mental and substance use disorders among people with HIV age 40 and older in low‐ and middle‐income countries: a cross‐sectional study

Angela M Parcesepe 1,2,, Melissa Stockton 3, Charlotte Bernard 4, Tukiya Kanguya 5, Edith Kamaru Kwobah 6, Alvaro Lopez 7, Gad Murenzi 8, Jeremy Ross 9, Albert Minga 10, Fernanda Maruri 11, Mpho Tlali 12, Suzanne Goodrich 13, Hugo Perazzo 14, Françoise Musabyimana 8, Smita Nimkar 15, Kathryn Lancaster 16, IeDEA Consortium 1
PMCID: PMC11458263  PMID: 39375051

Abstract

Introduction

Due to the increased effectiveness of and access to antiretroviral therapy (ART), people with HIV (PWH) are living longer. As a result, the population of older PWH has increased. Mental and substance use disorders (MSDs) are common and frequently co‐occurring among PWH and are associated with poor HIV care outcomes. Research into the prevalence and co‐occurrence of MSDs among ageing PWH remains limited, particularly in low‐ and middle‐income countries (LMICs).

Methods

We analysed data collected between 2020 and 2022 from the International epidemiology Databases to Evaluate AIDS (IeDEA) Sentinel Research Network cohort of PWH aged 40 years or older on ART at 11 HIV clinics in Brazil, Côte d'Ivoire, India, Kenya, Mexico, Uganda, Rwanda, Togo, Vietnam, Zambia and Zimbabwe. We estimated the prevalence and co‐occurrence of unhealthy alcohol use (AUDIT‐C ≥3 for women, ≥4 for men), unhealthy drug use (ASSIST >3 for cannabis, cocaine, amphetamines, inhalants, sedatives, hallucinogens and/or opioids), and moderate to severe symptoms of depression (PHQ‐9 ≥10), anxiety (GAD‐7 ≥10) and post‐traumatic stress disorder (PTSD) (PCL‐5 ≥33). Psychiatric multimorbidity was defined as having symptoms of two or more disorders assessed. Log binomial models assessed the association between socio‐demographic and HIV care characteristics and symptoms of anxiety, depression, PTSD or unhealthy substance use.

Results

Of 2821 participants, the prevalence of unhealthy alcohol and drug use was 21% and 5%, respectively. The prevalence of moderate to severe symptoms of depression, anxiety and PTSD was 14%, 9% and 6%, respectively. Overall, the prevalence of psychiatric multimorbidity was 11%. Among those with symptoms of at least one mental health or substance use outcome assessed (n = 1036), the prevalence of psychiatric multimorbidity was 31%. In binomial models, the prevalence of symptoms of depression and anxiety was higher, while the prevalence of unhealthy alcohol and drug use was lower among women than men.

Conclusions

Unhealthy alcohol use and symptoms of depression were most commonly reported, among this cohort of PWH aged 40 or older across 11 LMICs. Integration of MSD screening and treatment into HIV care should be prioritized. The effectiveness and implementation of transdiagnostic or multi‐focus mental health treatment approaches in HIV care settings should be examined.

Keywords: mental health, substance use, HIV, LMICs, depression, anxiety

1. INTRODUCTION

Due to the increased effectiveness of and access to antiretroviral therapy (ART), people with HIV (PWH) are living longer [1]. With early ART initiation, continued ART adherence and sustained viral suppression, current ART treatment regimens can afford PWH a similar life expectancy to individuals without HIV. As a result, the life expectancy of PWH has increased over the past decades in high‐ and low‐ and middle‐income countries (LMICs) [2, 3, 4]. As HIV has become a chronic health condition, the population of older PWH (typically defined as individuals aged ≥50 years) has increased [5]. UNAIDS has estimated that the number of PWH aged 50 and older increased from approximately 5 million in 2015 to approximately 8 million in 2020 [6].

With a longer life expectancy, the risk for non‐communicable diseases (NCDs) among PWH has increased. Mental and substance use disorders (MSDs) are among the most common NCDs among PWH. It has been estimated that 28−62% of PWH have symptoms of one or more mental or substance use disorders [8]. MSDs have been associated with suboptimal HIV care continuum outcomes, including late HIV diagnosis, suboptimal ART adherence and virologic failure [9, 10, 11, 12]. Among the general population, psychiatric multimorbidity, the presence of two or more co‐occurring mental or substance use disorders, is common and has been associated with greater psychiatric symptom severity and worse mental health outcomes [14, 15, 16, 17, 18, 19]. Data on the prevalence, co‐occurrence and correlates of MSDs among older PWH in resource‐limited settings remain scarce. As the population of older PWH increases, greater understanding of the prevalence and co‐occurrence of MSD among ageing PWH can inform strategies to address mental health and substance use screening and treatment needs as PWH age across resource‐constrained settings.

The International epidemiology Databases to Evaluate AIDS (IeDEA) Consortium is an international research consortium funded by the U.S. National Institutes of Health that collects observational HIV care and treatment data across global settings [20, 21, 22]. IeDEA established the Sentinel Research Network (SRN), a longitudinal cohort of PWH to advance understanding of the prevalence and impact of NCDs including cardiovascular disease, MSDs and liver disease among ageing PWH in LMICs. Given the limited information about the incidence, prevalence and impact of these NCDs among PWH in LMICs, the IeDEA Consortium set the eligibility criteria for participation in the IeDEA SRN cohort as aged 40 or older. While age 50 and older is the typical definition of “older” PWH, most existing research on older PWH has been conducted with PHW in high‐income countries. Thus, it remains unclear what the optimal age‐related cut‐off should be when studying NCDs among PWH in LMICs.

The objectives of the current analysis are to (1) estimate the prevalence and co‐occurrence of symptoms of depression, anxiety and post‐traumatic stress disorder (PTSD), and unhealthy substance use and (2) assess the relationship between socio‐demographic and HIV care characteristics and symptoms and co‐occurrence of symptoms of anxiety, depression, PTSD or unhealthy substance use among PWH 40 years or older enrolled in the IeDEA SRN.

2. METHODS

2.1. Study design

This analysis uses baseline data from the IeDEA‐SRN cohort which collects longitudinal data on risk factors and prevalence of NCDs, including symptoms of MSDs. The SRN is a cohort nested in six geographic regions of the IeDEA Consortium: the Caribbean, Central, and South America (CCASAnet), the Asia‐Pacific, and West, East, Central, and Southern Africa [21, 23]. IeDEA‐SRN participants were recruited during routine clinical care visits. Participants in this analysis were enrolled in the IeDEA‐SRN between October 2020 and 2022.

2.2. Study sites and population

This analysis includes data from 11 IeDEA SRN research sites located in Brazil, Côte d'Ivoire, India, Kenya, Mexico, Rwanda, Togo, Uganda, Vietnam, Zambia and Zimbabwe. All SRN sites recruited PWH ≥40 years who had initiated ART ≥6 months prior to study enrolment. SRN study sites sought to recruit a representative sample of eligible PWH at their sites.

2.3. Measures

2.3.1. Unhealthy alcohol or drug use and moderate to severe symptoms of anxiety, depression and PTSD

Trained study staff screened IeDEA‐SRN participants for unhealthy alcohol or drug use and symptoms of anxiety, depression and PTSD. Depressive symptoms were assessed with the Patient Health Questionaire‐9 (PHQ‐9). Scores of ≥10 were categorized as moderate or severe depressive symptoms [24, 25, 26, 27, 28, 29, 30]. Anxiety symptoms were assessed with the General Anxiety Disorder‐7 (GAD‐7). Scores of ≥10 were categorized as moderate or severe anxiety symptoms [27, 31, 32]. PTSD was assessed with the PTSD Checklist for the DSM‐5 (PCL‐5). Scores of ≥33 were categorized as symptoms of probable PTSD [33]. Alcohol use was assessed with the Alcohol Use Disorders Identification Test‐C (AUDIT‐C). Scores of ≥3 for women and ≥4 for men were categorized as unhealthy alcohol use [34, 35]. Drug use was assessed with the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST). ASSIST‐specific substance involvement scores >3 for cannabis, cocaine, amphetamines, inhalants, sedatives, hallucinogens or opiates were categorized as unhealthy drug use [36, 37].

The PHQ‐9 has been previously validated in Brazil, Rwanda, India, Kenya, Mexico, Uganda and Zimbabwe [38, 39, 40, 41, 42, 43, 44]. The GAD‐7 has been previously validated in Brazil, Kenya and Zimbabwe [43, 45, 46]. The PCL‐5 has been previously validated in Brazil, Rwanda, Mexico and Zimbabwe [47, 48, 49, 50]. The AUDIT has been previously validated in Brazil, Mexico, Zambia, and Uganda [51, 52, 53, 54]. The ASSIST has been previously validated in Brazil, India, Mexico, Zambia and Zimbabwe [55, 56, 57, 58]. Screening tools that had been previously translated and validated in the relevant local languages were used without modification. If a screening tool had not been previously validated in the relevant local language, the tool was modified using the following process. First, a local translator with HIV, medical or public health experience completed an initial translation of the instrument. Following this initial translation, HIV clinic staff with relevant clinical or research experience reviewed the translated instruments. The local translator and site staff reviewed the translation and made any necessary adjustments by consensus. In addition, cognitive interviews were conducted at each SRN site. Reports from cognitive interviews were shared with the SRN investigators and study staff to ensure contextual modifications did not interfere with the replicability of instruments.

2.3.2. HIV care history

HIV care variables were ascertained through routinely collected IeDEA data. Years on ART was calculated as the total number of years between the date of IeDEA‐SRN enrolment and the date of first ART initiation. Having ever been diagnosed with AIDS was also captured in routinely collected IeDEA data which asked whether the participant had ever been given an AIDS diagnosis.

The following socio‐demographic information was collected at SRN enrolment: age, sex at birth, marital status, education and monthly household income.

2.4. Analysis

Univariate analyses were conducted to assess the prevalence of symptoms of moderate to severe depression, moderate to severe anxiety, probable PTSD, unhealthy alcohol use and unhealthy drug use, overall as well as by country and sex. Separate bivariable log binomial models were used to investigate the relationship between socio‐demographic or HIV care factors and the prevalence and co‐occurrence of mental health or substance use outcomes.

Missing mental health or substance use data were minimal. However, for each instance of missing mental health or substance use data, we assessed whether missing responses could potentially impact the categorization of the mental health or substance use outcome. Participants with missing response(s) that could not impact the categorization of the mental health or substance use outcome were included. Those with missing response(s) that could have impacted the categorization of the mental health or substance use outcome were excluded from the analysis. All IeDEA‐SRN data were captured and managed in REDCap [59, 60]. All analyses were completed using STATA 17.

2.5. Ethical considerations

The study protocol and data collection instruments were reviewed and approved by each SRN site, regional coordinating centre and regional data management centre IRB prior to study implementation. All participants provided written informed consent.

3. RESULTS

The 2821 participants ranged in age from 40 to 85, with nearly half (49%) between 40 and 49 years of age (Table 1). Over half (55%) of participants were women, 52% were married or living with a partner and 40% had not attained a secondary level of education. Overall, 42% lived on a monthly income of less than $80 USD. Participants had been on ART for an average of 11 years and 44% of participants had been previously diagnosed with AIDS.

Table 1.

Participant characteristics (N = 2821)

Characteristic Mean (Standard deviation) or n (%)
Age (Range: 40−85) 51 (8)
40−49 1375 (49)
50−59 1044 (37)
≥60 402 (14)
Sex
Male 1256 (45)
Female 1565 (55)
Marital status
Single 476 (17)
Married or living with partner 1472 (52)
Widowed, separated or divorced 869 (31)
Education
Primary or less 1119 (40)
Secondary 1271 (45)
Tertiary 409 (15)
Monthly income (USD)
< 80 1152 (42)
80−200 702 (26)
> 200 877 (32)
Country
India 200 (7)
Brazil 225 (8)
Rwanda 599 (21)
Kenya 200 (7)
Zambia 198 (7)
Cote D'Ivoire 300 (11)
Mexico 199 (7)
Uganda 100 (3)
Zimbabwe 300 (11)
Vietnam 200 (7)
Togo 300 (11)
HIV care characteristics  
Years on ART (Range: 0.5−30.3) 11.3 (5)
Ever diagnosed with AIDS 1031 (44)

Missingness by variable: Marital status n = 4; Education n = 22; Income n = 90; Years on ART n = 22; Ever diagnosed with AIDS n = 457.

3.1. Prevalence of symptoms of anxiety, depression, PTSD and unhealthy alcohol or drug use

The prevalence of moderate to severe symptoms of depression and anxiety was 14% and 9%, respectively (Table 2). Overall, 6% of participants screened positive for symptoms of probable PTSD. The prevalence of unhealthy alcohol use and unhealthy drug use was 21% and 5%, respectively. Overall, 37% of participants screened positive for symptoms of depression, anxiety, PTSD, or unhealthy alcohol or drug use. Among the entire sample (n = 2821), the prevalence of psychiatric multimorbidity—symptoms of more than one mental health or substance use outcome assessed was 11%. Among those with symptoms of at least one mental health or substance use outcome assessed (n = 1036), the prevalence of psychiatric multimorbidity was 31%. The prevalence of psychiatric multimorbidity was 28% and 58% among those with symptoms of unhealthy alcohol or drug use, respectively. The prevalence of psychiatric multimorbidity was 91% among those with symptoms of probable PTSD.

Table 2.

Prevalence and co‐occurrence of symptoms of depression, anxiety, PTSD and unhealthy alcohol or drug use

n (%) Total (N = 2821) Depression (n = 387) Anxiety (n = 262) PTSD (n = 159) Unhealthy alcohol use (n = 599) Unhealthy drug use (n = 132)
Symptoms of common mental disorders  
Depression 387 (14)   172 (66) 109 (69) 91 (15) 23 (17)
Anxiety 262 (9) 172 (44)   102 (64) 71 (12) 22 (17)
PTSD 159 (6) 109 (28) 102 (39)   57 (9) 20 (15)
Symptoms depression, anxiety or PTSD 512 (18)       131 (22) 39 (30)
Number of common mental disorders  
1 303 (11) 193 (50) 75 (29) 35 (22) 67 (11) 19 (14)
2 122 (4) 107 (28) 100 (38) 37 (23) 40 (7) 14 (11)
3 87 (3) 87 (22) 87 (33) 87 (55) 24 (4) 6 (4)
Substance use  
Unhealthy alcohol use 599 (21) 91 (24) 71 (27) 57 (36)   56 (42)
Unhealthy drug use 132 (5) 23 (6) 22 (8) 20 (13) 56 (9)  
Unhealthy alcohol or drug use 675 (24) 104 (27) 83 (32) 64 (40)    
Psychiatric multimorbidity 323 (11) 233 (60) 205 (78) 144 (91) 168 (28) 76 (58)

Missingness by variable Depression n = 3; Anxiety n = 4; PTSD n = 3; Unhealthy alcohol use n = 4; Unhealthy drug use n = 1; Symptoms of depression, anxiety or PTSD n = 1.

Abbreviation: PTSD, post‐traumatic stress disorder.

3.2. Associations between socio‐demographic and HIV care characteristics and symptoms of depression, anxiety, PTSD and unhealthy substance use

The prevalence of moderate to severe symptoms of anxiety, probable PTSD and unhealthy alcohol use was lower among those aged 60 or older as compared to those aged 40−49 (Tables 3 and 4) (anxiety: 6% vs. 10%, prevalence ratio [PR] 0.64 [95% CI 0.43−0.96]; PTSD 3% vs. 6%, PR 0.50 [95% CI 0.28−0.89]; unhealthy alcohol use: 13% vs. 23%, PR 0.58 [95% CI 0.44−0.75]). The prevalence of moderate to severe symptoms of depression and anxiety was higher among women than men (depression: 17% vs. 10%, PR 1.68 [95% CI: 1.37−2.05]; anxiety: 10% vs. 8%; PR 1.28 [95% CI: 1.01−1.62]), while the prevalence of unhealthy alcohol use (15% vs. 29%; PR 0.52 [95% CI: 0.45−0.60]) and unhealthy drug use (3% vs. 7%; PR 0.35 [95% CI: 0.24−0.50]) was lower among women compared to men. The prevalence of moderate to severe symptoms of depression (9% vs. 18%; PR 0.51 [95% CI: 0.42−0.61]), moderate to severe symptoms of anxiety (7% vs. 12%; PR 0.56 [95% CI: 0.44−0.72]), symptoms of probable PTSD (3% vs. 8%; PR 0.41 [95% CI: 0.29−0.57]), unhealthy drug use (4% vs. 6% PR 0.67 [95% CI 0.48, 0.94]) and psychiatric multimorbidity (8% vs. 15%, PR 0.58 [95% CI 0.47−0.71]) were all lower among those who were married or partnered compared to those who were not. The prevalence of symptoms of all MSDs assessed varied substantially by country. For example, the prevalence of moderate to severe symptoms of depression ranged from 2% among participants in Vietnam to 32% among participants in Brazil, while the prevalence of unhealthy drug use ranged from 1% among participants in India to 23% among participants in Mexico. The prevalence of symptoms of probable PTSD (5% vs. 7%; PR 0.70 [95% CI 0.52−0.95]) and unhealthy alcohol use (18% vs. 27%; PR 0.66 [95% CI 0.58, 0.77]) was lower among those who had been on ART for 10 years or more compared to those who had been on ART for less than 10 years. The prevalence of moderate to severe symptoms of anxiety was higher among those who had been previously diagnosed with AIDS compared to those who had never been diagnosed with AIDS (12% vs. 8%; PR 0.67 95% CI 0.52, 0.86). The prevalence and co‐occurrence of unhealthy substance use and moderate to severe symptoms of depression, anxiety and PTSD, stratified by gender, age, marital status and educational attainment are presented in the Supplementary Appendix.

Table 3.

Association between socio‐demographic characteristics or HIV care history and symptoms of mental health or substance use disorders

n (row%)

Total (N = 2821)

N (col %)

Depression (N = 387)

N (row %)

Anxiety (N = 262)

N (row %)

PTSD (N = 159)

N (row %)

Unhealthy alcohol use (N = 599)

N (row %)

Unhealthy drug use (N = 132)

N (row %)

Psychiatric multimorbidity

(N = 323)

N (row %)

Age (Range: 4085)
40−49 1375 (49) 193 (14) 139 (10) 88 (6) 321 (23) 72 (5) 177 (13)
50−59 1044 (37) 151 (14) 97 (9) 58 (6) 224 (21) 43 (4) 119 (11)
≥60 402 (14) 43 (11) 26 (6) 13 (3) 54 (13) 17 (4) 27 (7)
Sex
Men 1256 (45) 125 (10) 101 (8) 72 (6) 364 (29) 92 (7) 149 (12)
Women 1565 (55) 262 (17) 161 (10) 87 (6) 235 (15) 40 (3) 174 (11)
Marital status
Not married or living with partner 1345 (48) 249 (18) 162 (12) 110 (8) 278 (21) 76 (6) 198 (15)
Married or living with partner 1472 (52) 138 (9) 100 (7) 49 (3) 320 (22) 56 (4) 125 (8)
Education
Primary or less 1119 (40) 175 (16) 119 (11) 59 (5) 203 (18) 43 (4) 127 (11)
Secondary or greater 1680 (60) 209 (12) 140 (8) 99 (6) 391 (23) 89 (5) 193 (11)
Monthly income (USD)
< 80 1152 (42) 190 (16) 111 (10) 66 (6) 199 (17) 37 (3) 132 (11)
80−200 702 (26) 81 (12) 52 (7) 36 (5) 145 (21) 25 (4) 69 (10)
> 200 877 (32) 101 (12) 87 (10) 51 (6) 234 (27) 63 (7) 109 (12)
Country
India 200 (7) 9 (4) 7 (3) 1 (1) 5 (2) 1 (1) 4 (2)
Brazil 225 (8) 72 (32) 63 (28) 28 (12) 71 (32) 16 (7) 65 (29)
Rwanda 599 (21) 84 (14) 49 (8) 31 (5) 95 (16) 2 (0) 51 (8)
Kenya 200 (7) 8 (4) 2 (1) 3 (2) 17 (8) 0 (0) 3 (2)
Zambia 198 (7) 38 (19) 16 (8) 18 (9) 82 (41) 6 (3) 37 (19)
Cote D'Ivoire 300 (11) 48 (16) 50 (17) 22 (7) 78 (26) 3 (1) 38 (13)
Mexico 199 (7) 35 (18) 29 (15) 26 (13) 48 (24) 46 (23) 45 (23)
Uganda 100 (3) 13 (13) 17 (17) 0 (0) 24 (24) 1 (1) 12 (12)
Zimbabwe 300 (11) 37 (12) 13 (4) 10 (3) 42 (14) 8 (3) 21 (7)
Vietnam 200 (7) 3 (2) 0 (0) 0 (0) 46 (23) 2 (1) 1 (1)
Togo 300 (11) 40 (13) 16 (5) 20 (7) 91 (30) 47 (16) 46 (15)
Years on ART
< 10 Years 1072 (38) 162 (15) 107 (10) 74 (7) 285 (27) 60 (6) 154 (14)
≥ 10 Years 1727 (62) 222 (13) 154 (9) 84 (5) 305 (18) 69 (4) 166 (10)
Diagnosed with AIDS
Never 1333 (56) 179 (13) 104 (8) 71 (5) 250 (19) 49 (4) 139 (10)
Ever 1031 (44) 150 (15) 121 (12) 58 (6) 215 (21) 38 (4) 122 (12)

Missingness by variable: Marital status n = 4; Education n = 22; Income n = 90; Years on ART n = 22; Ever diagnosed with AIDS n = 457; Depression n = 3; Anxiety n = 4; PTSD n = 3; Unhealthy alcohol use n = 4; Unhealthy drug use n = 1.

Table 4.

Prevalence ratios of socio‐demographic or HIV care characteristics and symptoms of mental health or substance use disorders

Characteristic (referent) Prevalence ratios (95% CIs)
Depression Anxiety PTSD Alcohol use Drug use Psychiatric multimorbidity
Age
50−59 years (40−49) 1.03 (0.84−1.26) 0.91 (0.72−1.18) 0.87 (0.63−1.20) 0.92 (0.79−1.07) 0.79 (0.54−1.14) 0.78 (0.64−0.96)
60+ years (40−49) 0.76 (0.56−1.04) 0.64 (0.43−0.96) 0.50 (0.28−0.89) 0.58 (0.44−0.75) 0.81 (0.48−1.36) 0.55 (0.38−0.80)
Female (Male) 1.68 (1.37−2.05) 1.28 (1.01−1.62) 0.97 (0.72−1.31) 0.52 (0.45−0.60) 0.35 (0.24−0.50) 0.94 (0.76−1.15)
Married/partnered (Not married/partnered) 0.51 (0.42−0.61) 0.56 (0.44−0.72) 0.41 (0.29−0.57) 1.05 (0.91−1.21) 0.67 (0.48−0.94) 0.58 (0.47−0.71)
≥Secondary education (Primary or less) 0.79 (0.66−0.96) 0.78 (0.62−0.99) 1.12 (0.82−1.53) 1.29 (1.10−1.50) 1.38 (0.97−1.97) 1.01 (0.82−1.25)
Monthly income (USD)
80−200 (<80) 0.70 (0.55−0.89) 0.77 (0.56−1.06) 0.90 (0.60−1.33) 1.20 (0.99−1.45) 1.11 (0.67−1.83) 0.86 (0.65−1.13)
> 200 (<80) 0.70 (0.56−0.88) 1.03 (0.79−1.34) 1.01 (0.71−1.45) 1.55 (1.31−1.83) 2.24 (1.51−3.33) 1.08 (0.85−1.38)
10+ years on ART (<10 years) 0.85 (0.70−1.02) 0.89 (0.71−1.13) 0.70 (0.52−0.95) 0.66 (0.58−0.77) 0.71 (0.51−1.00) 0.88 (0.7−1.11)
Never diagnosed with AIDS (Ever) 0.92 (0.76−1.13) 0.67 (0.52−0.86) 0.95 (0.68−1.33) 0.90 (0.76−1.06) 1.00 (0.66−1.51) 0.67 (0.54−0.82)

4. DISCUSSION

This cross‐sectional analysis of data from PWH aged 40 and older across 11 LMICs enrolled in the IeDEA SRN assessed the prevalence and co‐occurrence of moderate to severe symptoms of depression, anxiety and PTSD, as well as unhealthy alcohol or drug use and their association with socio‐demographic and HIV care factors. Symptoms of mental or substance use disorders were frequently reported with over one‐third (37%) of participants screening positive for any of the mental or substance use outcomes assessed, 18% screening positive for moderate to severe symptoms of depression, anxiety or PTSD and 24% screening positive for unhealthy alcohol or drug use. Psychiatric multimorbidity was also common with 31% of individuals who screened positive for any mental health or substance use outcome assessed having screened positive for more than one.

Our findings are broadly consistent with previous estimates of symptoms of depression [10, 61], anxiety [62], PTSD [63], unhealthy alcohol use [61, 64] and unhealthy drug use [65] among adult PWH across resource‐constrained settings. However, prior estimates of the prevalence of symptoms of depression, anxiety, PTSD and unhealthy substance use specifically among PWH age 40 or older remain limited, particularly in resource‐constrained settings [66]. A review of PWH aged 50 and older in sub‐Saharan Africa found prevalence estimates of depression ranging from 6% to 59%, but study heterogeneity made characterizing mental health challenges among this group difficult [66]. A study among older PWH in Brazil estimated that 28% of participants screened positive for depression which is relatively similar to the 32% of participants in the current analysis from Brazil who screened positive for depressive symptoms [67]. A study conducted in Cote d'Ivoire and Senegal among PWH aged 50 and older found a prevalence of severe depressive symptoms of 18%, similar to the 16% of participants from Cote d'Ivoire in the current analysis who screened positive for depressive symptoms [68]. Caution is warranted when comparing current findings with previous research as the current study began enrolment in October of 2020, during the COVID‐19 pandemic. Previous research has found the burden of mental health disorders increased during the pandemic, including among PWH [69]. Our findings suggest that MSDs remain a significant concern among PWH aged 40 or older across resource‐constrained settings. As the population of older PWH continues to increase, screening and treatment of MSDs among ageing PWH in resource‐constrained settings should be prioritized. The integration of evidence‐based screening and treatment for MSDs into HIV care has the potential to improve access to and uptake of these services.

Psychiatric multimorbidity was also common among this study population, with a third of those who screened positive for one of the mental health or substance use outcomes assessed screening positive for more than one mental health or substance use outcome assessed. Indeed, more than half of individuals who screened positive for moderate to severe symptoms of depression, anxiety, PTSD or unhealthy drug use also screened positive for at least one other mental health or substance use outcome assessed. Prior research into the prevalence of psychiatric multimorbidity among PWH aged 40 or older in resource‐constrained settings remains limited. However, a study of depression, anxiety and stress in Malaysia among ageing PWH (aged ≥25, median age 43), similarly found that multiple conditions were common [70]. Our findings are consistent with prior research among PWH in sub‐Saharan Africa which has estimated the prevalence of psychiatric multimorbidity among PWH with symptoms of at least one mental disorder to be between 18% and 42% [19, 71, 72, 73]. Our findings are also aligned with syndemic‐focused research with PWH which has found that unmet mental health and substance use needs are commonly co‐occurring among PWH in LMICs [74, 75, 76]. Given the prevalence of psychiatric multimorbidity among this population, the implementation and integration of transdiagnostic treatment approaches into HIV care settings should be prioritized. Transdiagnostic treatment approaches may yield efficiencies in the delivery of mental healthcare critical for comprehensively meeting the mental healthcare needs of ageing PWH [77, 78, 79]. The effectiveness of such interventions among older PWH across global settings should be evaluated.

The prevalence of unhealthy alcohol and drug use and symptoms of depression differed meaningfully by gender. Specifically, the prevalence of moderate to severe symptoms of depression and anxiety was higher among women than men, while the prevalence of unhealthy alcohol use and unhealthy drug use was higher among men than women. This is consistent with previous research that has found depression to be more prevalent among women than men in the general population and among PWH and alcohol and drug use to be more prevalent among men than women among the general population and among PWH [10, 64, 80, 81]. Similarly, a study of older (aged 45 or older) individuals (with and without HIV) in Malawi found that depressive symptoms were more prevalent among women than men [82]. Additional research is needed to understand gender‐specific risk and protective factors for MSDs among ageing PWH across resource‐constrained settings.

Age was negatively associated with the prevalence of moderate to severe symptoms of anxiety, PTSD, unhealthy alcohol use and psychiatric multimorbidity in this study, particularly among those 60 years or older. Research in the general population has found that the prevalence of substance use decreases with age [83]. However, the relationship between age and symptoms of MSDs among older PWH remains unclear [10, 65, 84]. For example, in contrast to the current study, a study of older individuals in Malawi (with and without HIV) found that the prevalence of depression and anxiety increased with age [82]. Longitudinal research to examine whether the prevalence of MSDs changes with age among PWH is warranted.

Individuals who were married or partnered had lower prevalence of moderate to severe symptoms of depression, anxiety, PTSD and unhealthy drug use compared to people who were not married or partnered. Similar findings have been found among other populations of PWH [85]. Ageing PWH who were married or partnered may have more robust social support networks and were less socially isolated compared to their unmarried peers. Such greater social support could help explain their better mental health [86]. Research has found that older PWH experience greater social isolation and loss of social networks compared to their ageing peers without HIV [87]. Future research should examine factors that influence the association between relationship status and prevalence of depression, anxiety, PTSD and unhealthy drug use among older PWH in resource‐constrained settings.

The prevalence of symptoms of all MSDs assessed varied substantially by country. The prevalence of moderate to severe symptoms of depression or anxiety was less than 5% in India, Kenya and Vietnam and greater than 25% among participants in Brazil. Similarly, the prevalence of unhealthy alcohol use ranged from 2% in India to 32% in Brazil. It is important to note that data were collected from participants at a single HIV clinic per country. Thus, findings are not representative of the broader population of PWH aged 40 or older in each country. Additional research is needed to better understand the extent to which the prevalence of symptoms of MSDs varies by country among ageing PWH.

Our study's limitations include that the study sample was of PWH age 40 or older who had initiated ART at least 6 months prior to study enrolment. As such, our findings may not be generalizable to the general population of older PWH, including those not yet or newly diagnosed or newly engaged in or disengaged from HIV care. In addition, participants were recruited from a single HIV treatment site in each country. Thus, findings are not generalizable to the general population of PWH aged 40 or older in that country. In addition, mental and substance use screening measures, not diagnostic measures, were to assess mental and substance use symptoms. Screening positive on these measures should not be interpreted as evidence of a clinical disorder [88, 89]. Mental health and substance use assessment tools used in this study were selected because they have been widely used and validated across several populations, languages, countries and with PWH. However, some tools have not been validated in the languages and countries in which they were used.

Our analyses found a substantial burden of symptoms of common mental disorders and unhealthy substance use among PWH aged 40 or older across resource‐constrained settings. This work contributes to a growing understanding of the needs of a population ageing with HIV. Additional research is needed to identify the extent to which risk and protective factors of poor mental health and unhealthy substance use identified in other populations, including disclosure, social support, coping strategies, HIV‐related stigma and social isolation, are relevant among ageing PWH across global settings. In addition, future research should investigate the extent to which issues of particular concern to ageing PWH, including social isolation, co‐occurring NCDs such as diabetes and cardiovascular disease and neurocognitive disorders, influence the prevalence and persistence of symptoms of MSDs among ageing PWH in LMICs. Strategies to promote successful ageing among PWH should incorporate evidence‐based mental health and substance use screening and treatment.

5. CONCLUSIONS

In our global cohort of PWH aged 40 and older across LMICs, unhealthy alcohol use and symptoms of depression were most commonly reported. Integration of MSD screening and treatment into HIV care should be prioritized.

COMPETING INTERESTS

The authors declare no competing interests.

AUTHORS’ CONTRIBUTIONS

AMP, KL, FM and JR contributed to the design of the survey. AMP, MS and KL contributed to data analysis and interpretation. AMP and MS drafted the manuscript. AMP, MS, CB, TK, EKK, AL, GM, JR, AM, FM, MT, SG, HP, FM, SN and KL revised the manuscript. All authors read and approved the final manuscript.

FUNDING

The International Epidemiology Databases to Evaluate AIDS (IeDEA) is supported by the U.S. National Institutes of Health's National Institute of Allergy and Infectious Diseases, the Eunice Kennedy Shriver National Institute of Child Health and Human Development, the National Cancer Institute, the National Institute of Mental Health, the National Institute on Drug Abuse, the National Heart, Lung, and Blood Institute, the National Institute on Alcohol Abuse and Alcoholism, the National Institute of Diabetes and Digestive and Kidney Diseases, and the Fogarty International Center:  Asia‐Pacific , U01AI069907;  CCASAnet , U01AI069923;  Central Africa , U01AI096299;  East Africa , U01AI069911;  NA‐ACCORD , U01AI069918;  Southern Africa , U01AI069924;  West Africa , U01AI069919. Informatics resources are supported by the Harmonist project, R24AI24872.

DISCLAIMER

This work is solely the responsibility of the authors and does not necessarily represent the official views of any of the institutions mentioned above.

Supporting information

Table S1: Prevalence and co‐occurrence of symptoms of depression, anxiety, PTSD, or unhealthy alcohol or drug use, Women

Table S2: Prevalence and co‐occurrence of elevated symptoms of mental and substance use disorders, men

Table S3: Prevalence and co‐occurrence of symptoms of depression, anxiety, PTSD, or unhealthy alcohol or drug use, age 4049

Table S4: Prevalence and co‐occurrence of symptoms of depression, anxiety, PTSD, or unhealthy alcohol or drug use, age ≥ 50

Table S5: Prevalence and co‐occurrence of symptoms of depression, anxiety, PTSD, or unhealthy alcohol or drug use, <10 years on ART

Table S6: Prevalence and co‐occurrence of symptoms of depression, anxiety, PTSD, or unhealthy alcohol or drug use, >10 years on ART

Table S7: Prevalence and co‐occurrence of symptoms of depression, anxiety, PTSD, or unhealthy alcohol or drug use, single, divorced, separated, or widowed

Table S8: Prevalence and co‐occurrence of symptoms of depression, anxiety, PTSD, or unhealthy alcohol or drug use, married or living with a partner

Table S9: Prevalence and co‐occurrence of symptoms of depression, anxiety, PTSD, or unhealthy alcohol or drug use, primary or less education

Table S10: Prevalence and co‐occurrence of symptoms of depression, anxiety, PTSD, or unhealthy alcohol or drug use, secondary education or more

JIA2-27-e26359-s001.docx (52.9KB, docx)

ACKNOWLEDGEMENTS

Asia‐Pacific

IeDEA SRN Site investigators and study team:

RT Borse, V Mave, I Marbaniang, S Nimkar, BJ Government Medical College and Sassoon General Hospital, Pune, India; TN Pham, KV Nguyen, DTH Nguyen, DT Nguyen, National Hospital for Tropical Diseases, Hanoi, Vietnam; AH Sohn, JL Ross, T Chanyachukul, TREAT Asia, amfAR—The Foundation for AIDS Research, Bangkok, Thailand; MG Law, A Jiamsakul, D Rupasinghe, The Kirby Institute, UNSW Sydney, NSW, Australia.

IeDEA Caribbean, Central, and South America (CCASAnet)

Fundación Huésped, Argentina: Pedro Cahn, Carina Cesar, Valeria Fink, Zulma Ortiz, Florencia Cahn, Agustina Roldan, Ines Aristegui, Claudia Frola.

Instituto Nacional de Infectologia‐Fiocruz, Brazil: Beatriz Grinsztejn, Valdilea G. Veloso, Paula M. Luz, Sandra Cardoso Wagner, Ruth Friedman, Ronaldo I. Moreira, Lara Esteves Coelho, Monica Derrico Pedrosa, Guilherme Amaral Calvet, Hugo Perazzo, Rodrigo Moreira, Maria Pia Diniz Ribeiro, Mario Sergio Pereira, Emilia Moreira Jalil, Thiago Silva Torres Carolina Coutinho Mayara Secco Torres Silva.

Universidade Federal de Minas Gerais, Brazil: Jorge Pinto, Flavia Ferreira, Marcelle Maia.

Universidade Federal de São Paulo, Brazil: Regina Célia de Menezes Succi, Daisy Maria Machado, Aida de Fátima Barbosa Gouvêa, Fabiana Bononi do Carmo.

Fundación Arriarán, Chile: Claudia Cortes, Marcelo Wolff, Maria Fernanda Rodriguez, Gabriel Castillo, Gladys Allendes.

Les Centres GHESKIO, Haiti: Jean William Pape, Vanessa Rouzier, Adias Marcelin, Youry Macius, Stephano Saint Preux.

Hospital Escuela Universitario, Honduras: Marco Tulio Luque, Diana Varela, Magda Chavez, Ada Mailhot.

Instituto Hondureño de Seguridad Social, Honduras: Marco Tulio Luque.

Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico: Juan Sierra Madero, Brenda Crabtree Ramirez, Yanink Caro Vega, Alvaro López Iñiguez, Paola Alarcón Murra, Geovanna Coello, Guadalupe Muñuzuri Nájera, Lorena Guerrero Torres, Jessica Mejía, Atenea Álvarez, Sharon Ortiz.

Instituto de Medicina Tropical Alexander von Humboldt, Peru: Eduardo Gotuzzo, Fernando Mejia, Gabriela Carriquiry.

Vanderbilt University Medical Center, USA: Catherine C McGowan, Stephany N Duda, Bryan E Shepherd, Timothy Sterling, Anna K Person, Peter F Rebeiro, Jessica Castilho, William C Wester, Karu Jayathilake, Fernanda Maruri, Hilary Vansell Riley, Marina Cruvinel Figueiredo, Paridhi Ranadive, Megan Turner, Gustavo Amorim, Cody Staats, Cynthia Nochowicz, Vickie Myers, Heather Burgess, Amondrea Blackman, Shengxin Tu.

Vanderbilt University, USA: Kate Clouse, Ahra Kim.

Central Africa‐IeDEA Site investigators and cohorts

Nimbona Pélagie, Association Nationale de Soutien aux Séropositifs et Malade du Sida (ANSS), Burundi; Patrick Gateretse, Jeanine Munezero, Valentin Nitereka, Annabelle Niyongabo, Zacharie Ndizeye, Christella Twizere, Théodore Niyongabo, Centre National de Référence en Matière de VIH/SIDA, Burundi; Hélène Bukuru, Thierry Nahimana, Martin Manirakiza, Centre de Prise en Charge Ambulatoire et Multidisciplinaire des PVVIH/SIDA du Centre Hospitalo‐Universitaire de Kamenge (CPAMP‐CHUK), Burundi; Patrice Barasukana, Hélène Bukuru, Martin Manirakiza, Zacharie Ndizeye, CHUK/Burundi National University, Burundi; Jérémie Biziragusenyuka, Ella Ange Kazigamwa, Centre de Prise en Charge Ambulatoire et Multidisciplinaire des PVVIH/SIDA de l'Hôpital Prince Régent Charles (CPAMP‐HPRC), Burundi; Caroline Akoko, Ernestine Kesah, Esther Neba, Denis Nsame, Vera Veyieeneneng, Bamenda Regional Hospital, Cameroon; Bazil Ageh Ajeh, Rogers Ajeh, Dan Ebai Ashu, Eta Atangba, Christelle Tayomnou Deussom, Peter Vanes Ebasone, Ernestine Kendowo, Clarisse Lengouh, Gabriel Mabou, Sandra Mimou Mbunguet, Judith Nasah, Nicoline Ndiforkwah, Marc Lionel Ngamani, Eric Ngassam, George Njie Ngeke, Clenise Ngwa, Anyangwa Sidonie, Clinical Research Education and Consultancy (CRENC), Cameroon; Anastase Dzudie, CRENC and Douala General Hospital, Cameroon; Djenabou Amadou, Joseph Mendimi Nkodo, Eric, Pefura Yone, Jamot Hospital, Cameroon; Annereke Nyenti, Phyllis Fon, Mercy Ndobe, Priscilia Enow, Limbe Regional Hospital, Cameroon; Catherine Akele, Akili Clever, Faustin Kitetele, Patricia Lelo, Kalembelembe Pediatric Hospital, Democratic Republic of Congo; Nana Mbonze, Guy Koba, Martine Tabala, Cherubin Ekembe, Didine Kaba, Kinshasa School of Public Health, Democratic Republic of Congo; Jean Paul Nzungani, Simon Kombela, Dany Lukeba, Sangos plus/Bomoi, Democratic Republic of Congo; Mattieu Musiku, Clement Kabambayi, Job Nsoki, Hopital de Kabinda, Democratic Republic of Congo; Merlin Diafouka, Martin Herbas Ekat, Dominique Mahambou Nsonde, CTA Brazzaville, Republic of Congo; Ursula Koukha, Adolphe Mafoua, Massamba Ndala Christ, CTA Pointe‐Noire, Republic of Congo; Jules Igirimbabazi, Nicole Ayinkamiye, Bethsaida Health Center, Rwanda; Providance Uwineza, Emmanuel Ndamijimana, Busanza Health Center, Rwanda; Jean Marie Vianney Barinda, Marie Louise Nyiraneza, Gahanga Health Center, Rwanda; Marie Louise Nyiransabimana, Liliane Tuyisenge, Gikondo Health Center, Rwanda; Catherine Kankindi, Christian Shyaka, Kabuga Health Center, Rwanda; Bonheur Uwakijijwe, Marie Grace Ingabire, Kicukiro Health Center, Rwanda; Beltirde Uwamariya, Jules Ndumuhire, Masaka Health Center, Rwanda; Gerard Bunani, Fred Muyango, Nyagasambu Health Center, Rwanda; Yvette Ndoli, Oliver Uwamahoro, Nyarugunga Health Center, Rwanda; Eugenie Mukashyaka, Rosine Feza, Shyorongi Health Center, Rwanda; Chantal Benekigeri, Jacqueline Musaninyange, WE‐ACTx for Hope Clinic, Rwanda; Josephine Gasana, Charles Ingabire, Jocelyne Ingabire, Faustin Kanyabwisha, Gallican Kubwimana, Fabiola Mabano, Jean Paul Mivumbi, Benjamin Muhoza, Athanase Munyaneza, Gad Murenzi, Francoise Musabyimana, Allelluia Giovanni Ndabakuranye, Fabienne Shumbusho, Patrick Tuyisenge, Francine Umwiza, Research for Development (RD Rwanda) and Rwanda Military Hospital, Rwanda; Jules Kabahizi, Janviere Mutamuliza, Boniface Nsengiyumva, Ephrem Rurangwa, Rwanda Military Hospital, Rwanda; Eric Remera, Gallican Nshogoza Rwibasira, Rwanda Biomedical Center, Rwanda.

Coordinating and Data Centres:

Adebola Adedimeji, Kathryn Anastos, Jean Claude Dusingize, Lynn Murchison, Viraj Patel, Jonathan Ross, Marcel Yotebieng, Natalie Zotova, Albert Einstein College of Medicine, USA; Ryan Barthel, Ellen Brazier, Heidi Jones, Elizabeth Kelvin, Denis Nash, Saba Qasmieh, Chloe Teasdale, Institute for Implementation Science in Population Health, Graduate School of Public Health and Health Policy, City University of New York (CUNY), USA; Batya Elul, Columbia University, USA; Xiatao Cai, Don Hoover, Hae‐Young Kim, Chunshan Li, Qiuhu Shi, Data Solutions, USA; Kathryn Lancaster, The Ohio State University, USA; Mark Kuniholm, University at Albany, State University of New York, USA; Andrew Edmonds, Angela Parcesepe, Jess Edwards, University of North Carolina at Chapel Hill, USA; Olivia Keiser, University of Geneva; Stephany Duda; Vanderbilt University School of Medicine, USA; April Kimmel, Virginia Commonwealth University School of Medicine, USA.

East Africa IeDEA

Site investigators and cohorts:

Diero L, Sang E, MOI University, AMPATH Plus, Eldoret, Kenya; Bukusi E, Edwin Mulwa, George Nyanaro, KEMRI (Kenya Medical Research Institute), Kisumu, Kenya; Charles Kasozi, Mathew Ssemakadde, Masaka Regional Referral Hospital, Masaka, Uganda; Winnie Muyindike, Helen Byakwaga, Bob Ssekyanzi, Michael Kanyesigye, Mbarara University of Science and Technology (MUST), Mbarara, Uganda; Barbara Castelnuovo, Aggrey Semeere, John Michael Matovu, Marion Achieng, Infectious Diseases Institute (IDI), Mulago, Uganda; Fred Nalugoda, Francis X. Wasswa, Rakai Health Sciences Program, Kalisizo, Uganda; Paul Kazyoba, Mary Mayige, (NIMR), Dar es Salaam, Tanzania; Rita Elias Lyamuya, Francis Mayanga, Morogoro Regional Hospital, Morogoro, Tanzania; Happiness Edward Rutakulemberwa, Jerome Lwali, Tumbi Regional Hospital, Pwani, Tanzania; Denna Michael, Mark Urassa, Charles Nyaga, Richard Machemba, National Institute for Medical Research (NIMR), Kisesa HDSS, Mwanza, Tanzania; Kara Wools‐Kaloustian, Constantin Yiannoutsos, Beverly Musick, Suzanne Goodrich, Niharika Samala, Indiana University School of Medicine, Indiana University, Indianapolis, IN, USA; Batya Elul, Columbia University, New York City, NY, USA; Neelima Navuluri, Duke University, Durham, NC, USA; Rachel Vreeman, Mt. Sinai, New York, USA; Jeffrey Martin, Megan Wenger, Craig Cohen, Jayne Kulzer, University of California, San Francisco, CA, USA; Rena Patel, University of Washington, Seattle, WA, USA.

IeDEA Southern Africa

Site investigators and cohorts:

Gary Maartens, Aid for AIDS, South Africa; Michael Vinikoor/Carolyn Bolton, Centre for Infectious Disease Research in Zambia (CIDRZ), Zambia; Robin Wood, Gugulethu (Desmond Tutu HIV Centre), South Africa; Nosisa Sipambo, Harriet Shezi Children's Clinic, South Africa; Frank Tanser, Hlabisa (Africa Health Research Institute), South Africa; Andrew Boulle/Jonathan Euvrard, Khayelitsha ART Programme, South Africa; Geoffrey Fatti, Kheth'Impilo AIDS Free Living, South Africa; Safari Mbewe, Lighthouse Trust, Malawi; Mazvita Muchengeti, National Cancer Registry (National Health Laboratory Service), South Africa; Cleophas Chimbetete, Newlands Clinic (Ruedi Luethy Foundation Zimbabwe), Zimbabwe; Karl Technau, Rahima Moosa Mother and Child Hospital, South Africa; Brian Eley, Red Cross War Memorial Children's Hospital, South Africa; Irene Ayakaka, SolidarMed Lesotho; Idiovino Rafael, SolidarMed Mozambique; Cordelia Kunzekwenyika, SolidarMed Zimbabwe, Matthew P Fox, Themba Lethu Clinic, South Africa; Hans Prozesky, Tygerberg Hospital, South Africa; Andrew Boulle, Western Cape Provincial Health Data Centre.

Data centres:

John Andoh, Marie Ballif, Nicolas Banholzer, Cam Ha Dao Ostinelli, Christiane Didden, Orestis Efthimiou, Matthias Egger, Lukas Fenner, Nathalie Fernandez, Chiara Gastaldon, Andreas Haas, Leonie Heron, Nicola Low, Ardele Mandiriri, Adrià Ramírez, Julien Riou, Eliane Rohner, Carlotta Riebensam, Yann Ruffieux, Allison Scarlotta, Remo Schmutz, Tiana Schwab, Veronika W Skrivankova, Katayoun Taghavi, Per von Groote, Cristina Vieira, Gilles Wandeler, Elizabeth Zaniewski, Institute of Social and Preventive Medicine, University of Bern, Switzerland; Nanina Anderegg, Kim Anderson, Andrew Boulle, Chido Chinogurei, Morna Cornell, Mary‐Ann Davies, Leigh Johnson, Reshma Kassanjee, Amohelang Lehloa, Nicola Maxwell, Haroon Moolla, Patience Nyakato, Gem Patten, Mpho Tlali, Renee de Waal, Wendy Wiemers, Confidence Mothiba, Emma Kalk, Center for Infectious Disease Epidemiology and Research, School of Public Health, University of Cape Town, South Africa.

IeDEA West Africa

Site investigators and cohorts

Adult cohorts: Marcel Djimon Zannou, CNHU, Cotonou, Benin; Armel Poda, CHU Souro Sanou, Bobo Dioulasso, Burkina Faso; Oliver Ezechi, National Institute of Medical Research (NIMR), Lagos, Nigeria. Eugene Messou, ACONDA CePReF, Abidjan, Cote d'Ivoire; Henri Chenal, CIRBA, Abidjan, Cote d'Ivoire; Kla Albert Minga, CMSDS, Abidjan, Cote d'Ivoire; Aristophane Tanon, CHU Treichville, Cote d'Ivoire; Moussa Seydi, CHNU de Fann, Dakar, Senegal; Ephrem Mensah, Clinique EVT, Lomé, Togo.

Regional coordination

Antoine Jaquet (PI), Didier Koumavi Ekouevi (PI), François Dabis, Renaud Becquet, Charlotte Bernard, Karen Malateste, Olivier Marcy, Marie Kerbie Plaisy, Elodie Rabourdin, Thierry Tiendrebeogo. ADERA, University of Bordeaux, National Institute for Health and Medical Research (Inserm) UMR1219, Research Institute for Sustainable Development (IRD) EMR 271, Bordeaux Population Health Centre, Bordeaux, France.

Désiré Dahourou, Sophie Desmonde, Julie Jesson, Valeriane Leroy. CERPOP, Inserm UMR1295, Toulouse, France.

Raoul Moh, Jean‐Claude Azani, Kadidja Diarra, Jean Jacques Koffi, Maika Bengali, Abdoulaye Cissé, Guy Gnepa, Eric Komena, Apollinaire Horo, Séverin Lenaud, Simon Boni, Eulalie Kangah, Corinne Moh, Jeanne Eliam, PAC‐CI program, CHU Treichville, Abidjan, Côte d'Ivoire.

Partner institutions

Emory University: Igho Ofotokun (PI), Anandi Sheth, Cecile Delille Lahiri, Chris Martin, Washington University: Noëlle Benzekri, Geoffrey Gottlieb, Geneva University: Olivia Keiser.

DATA AVAILABILITY STATEMENT

Complete data for this study cannot be posted in a supplemental file or a public repository because of legal and ethical restrictions. The Principles of Collaboration under which the IeDEA multiregional collaboration was founded and the regulatory requirements of the different countries' IRBs require the submission of a project concept proposal and approval by the IeDEA Executive Committee. To request data, please review IeDEA guidance and complete the concept proposal template, available at: https://www.iedea.org/resources/multiregional‐research‐sops‐templates/. Signing of a data‐sharing agreement may also be required.

REFERENCES

  • 1. Rajasuriar R, Crane HM, Semeere AS. Growing older with HIV in the Treat‐All Era. J Int AIDS Soc. 2022;25(S4):e25997. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Wandeler G, Johnson LF, Egger M. Trends in life expectancy of HIV‐positive adults on antiretroviral therapy across the globe: comparisons with general population. Curr Opin HIV AIDS. 2016;11(5):492–500. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Smiley CL, Rebeiro PF, Cesar C, Belaunzaran‐Zamudio PF, Crabtree‐Ramirez B, Padgett D, et al. Estimated life expectancy gains with antiretroviral therapy among adults with HIV in Latin America and the Caribbean: a multisite retrospective cohort study. Lancet HIV. 2021;8(5):e266–e273. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Teeraananchai S, Kerr S, Amin J, Ruxrungtham K, Law M. Life expectancy of HIV‐positive people after starting combination antiretroviral therapy: a meta‐analysis. HIV Med. 2017;18(4):256–266. [DOI] [PubMed] [Google Scholar]
  • 5. Althoff KN, Smit M, Reiss P, Justice AC. HIV and ageing: improving quantity and quality of life. Curr Opin HIV AIDS. 2016;11(5):527–536. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. The Lancet Healthy Longevity . Ageing with HIV. Lancet Healthy Longev. 2022;3(3):e119. [DOI] [PubMed] [Google Scholar]
  • 7. Nyirenda M, Chatterji S, Rochat T, Mutevedzi P, Newell M‐L. Prevalence and correlates of depression among HIV‐infected and ‐affected older people in rural South Africa. J Affect Disord. 2013;151(1):31–38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Hoare J, Sevenoaks T, Mtukushe B, Williams T, Heany S, Phillips N. Global systematic review of common mental health disorders in adults living with HIV. Curr HIV/AIDS Rep. 2021;18(6):569–580. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Rane MS, Hong T, Govere S, Thulare H, Moosa M‐Y, Celum C, et al. Depression and anxiety as risk factors for delayed care‐seeking behavior in human immunodeficiency virus‐infected individuals in South Africa. Clin Infect Dis. 2018;67(9):1411–1418. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Bernard C, Dabis F, de Rekeneire N. Prevalence and factors associated with depression in people living with HIV in sub‐Saharan Africa: a systematic review and meta‐analysis. PLoS One. 2017;12(8):e0181960. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Velloza J, Celum C, Haberer JE, Ngure K, Irungu E, Mugo N, et al. Depression and ART initiation among HIV serodiscordant couples in Kenya and Uganda. AIDS Behav. 2017;21(8):2509–2518. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Wykowski J, Kemp CG, Velloza J, Rao D, Drain PK. Associations between anxiety and adherence to antiretroviral medications in low‐ and middle‐income countries: a systematic review and meta‐analysis. AIDS Behav. 2019;23(8):2059–2071. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Mathers CD, Loncar D. Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med. 2006;3(11):e442. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Kessler RC, Chiu WT, Demler O, Walters EE. Prevalence, severity, and comorbidity of 12‐month DSM‐IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62(6):617–627. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Plana‐Ripoll O, Pedersen CB, Holtz Y, Benros ME, Dalsgaard S, De Jonge P, et al. Exploring comorbidity within mental disorders among a Danish national population. JAMA Psychiatry. 2019;76(3):259–270. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Hasin DS, Sarvet AL, Meyers JL, Saha TD, Ruan WJ, Stohl M, et al. Epidemiology of adult DSM‐5 major depressive disorder and its specifiers in the United States. JAMA Psychiatry. 2018;75(4):336–346. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Cook JA, Burke‐Miller JK, Steigman PJ, Schwartz RM, Hessol NA, Milam J, et al. Prevalence, comorbidity, and correlates of psychiatric and substance use disorders and associations with HIV risk behaviors in a multisite cohort of women living with HIV. AIDS Behav. 2018;22(10):3141–3154. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Gaynes BN, Pence BW, Eron JJ, Miller WC. Prevalence and comorbidity of psychiatric diagnoses based on reference standard in an HIV+ patient population. Psychosom Med. 2008;70(4):505. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Belus JM, Cholera R, Miller WC, Bassett J, Gaynes BN. Psychiatric comorbidity of unipolar mood, anxiety, and trauma disorders prior to HIV testing and the effect on linkage to care among HIV‐infected adults in South Africa. AIDS Behav. 2019;23(12):3444–3451. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. IeDEA . IeDEA International epidemiology Databases to Evaluate AIDS—Who we are . 2021. [cited 2021 1 December]; Available from: https://www.iedea.org/home/who‐we‐are/.
  • 21. Egger M, Ekouevi DK, Williams C, Lyamuya RE, Mukumbi H, Braitstein P, et al. Cohort Profile: the International epidemiological databases to evaluate AIDS (IeDEA) in sub‐Saharan Africa. Int J Epidemiol. 2012;41(5):1256–1264. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Gange SJ, Kitahata MM, Saag MS, Bangsberg DR, Bosch RJ, Brooks JT, et al. Cohort Profile: the North American AIDS Cohort Collaboration on Research and Design (NA‐ACCORD). Int J Epidemiol. 2007;36(2):294–301. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Mcgowan CC, Cahn P, Gotuzzo E, Padgett D, Pape JW, Wolff M, et al. Cohort Profile: Caribbean, Central and South America Network for HIV research (CCASAnet) collaboration within the International Epidemiologic Databases to Evaluate AIDS (IeDEA) programme. Int J Epidemiol. 2007;36(5):969–976. [DOI] [PubMed] [Google Scholar]
  • 24. Kroenke K, Spitzer RL, Williams JB. The PHQ‐9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–613. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Levis B, Benedetti A, Thombs B. DEPRESsion Screening Data (DEPRESSD) Collaboration. Accuracy of Patient Health Questionnaire‐9 (PHQ‐9) for screening to detect major depression: individual participant data meta‐analysis. BMJ. 2019;365(l1476):1–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Manea L, Gilbody S, McMillan D. A diagnostic meta‐analysis of the Patient Health Questionnaire‐9 (PHQ‐9) algorithm scoring method as a screen for depression. Gen Hosp Psychiatry. 2015;37(1):67–75. [DOI] [PubMed] [Google Scholar]
  • 27. Filiatreau LM, Ebasone PV, Dzudie A, Ajeh R, Pence B, Wainberg M, et al. Correlates of self‐reported history of mental health help‐seeking: a cross‐sectional study among individuals with symptoms of a mental or substance use disorder initiating care for HIV in Cameroon. BMC Psychiatry. 2021;21(1):1–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Maclean SA, Lancaster KE, Lungu T, Mmodzi P, Hosseinipour MC, Pence BW, et al. Prevalence and correlates of probable depression and post‐traumatic stress disorder among female sex workers in Lilongwe, Malawi. Int J Ment Health Addict. 2018;16(1):150–163. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Malava JK. Prevalence and correlates of probable depression diagnosis and suicidal ideation among patients receiving HIV care in Lilongwe, Malawi. Malawi Med J. 2018;30(4):236–242. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Zeziulin O, Mollan KR, Shook‐Sa BE, Hanscom B, Lancaster KE, Dumchev K, et al. Depressive symptoms and use of HIV care and medication‐assisted treatment among people with HIV who inject drugs. AIDS. 2021;35(3):495–501. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Spitzer RL, Kroenke K, Williams JBW, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD‐7. Arch Intern Med. 2006;166(10):1092–1097. [DOI] [PubMed] [Google Scholar]
  • 32. Kroenke K, Spitzer RL, Williams JBW, Löwe B. The Patient Health Questionnaire Somatic, Anxiety, and Depressive Symptom Scales: a systematic review. Gen Hosp Psychiatry. 2010;32(4):345–359. [DOI] [PubMed] [Google Scholar]
  • 33. Verhey R, Chibanda D, Gibson L, Brakarsh J, Seedat S. Validation of the posttraumatic stress disorder checklist–5 (PCL‐5) in a primary care population with high HIV prevalence in Zimbabwe. BMC Psychiatry. 2018;18(1):1–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Bush K, Kivlahan DR, McDonell MB, Fihn SD, Bradley KA. The AUDIT alcohol consumption questions (AUDIT‐C): an effective brief screening test for problem drinking. Arch Intern Med. 1998;158(16):1789–1795. [DOI] [PubMed] [Google Scholar]
  • 35. Bradley KA, Debenedetti AF, Volk RJ, Williams EC, Frank D, Kivlahan DR. AUDIT‐C as a brief screen for alcohol misuse in primary care. Alcohol Clin Exp Res. 2007;31(7):1208–1217. [DOI] [PubMed] [Google Scholar]
  • 36. Humeniuk R, Henry‐Edwards S, Ali R, Poznyak V, Monteiro M. The Alcohol, Smoking and Substance Involvement Screening Test (ASSIST): manual for use in primary care . 2010.
  • 37. WHO ASSIST Working Group . The Alcohol, Smoking and Substance Involvement Screening Test (ASSIST): development, reliability and feasibility. Addiction. 2002;97(9):1183–1194. [DOI] [PubMed] [Google Scholar]
  • 38. Moreno‐Agostino D, Chua K‐C, Peters TJ, Scazufca M, Araya R. Psychometric properties of the PHQ‐9 measure of depression among Brazilian older adults. Aging Ment Health. 2022;26(11):2285–2290. [DOI] [PubMed] [Google Scholar]
  • 39. Sebera F, Vissoci JRN, Umwiringirwa J, Teuwen DE, Boon PE, Dedeken P. Validity, reliability and cut‐offs of the Patient Health Questionnaire‐9 as a screening tool for depression among patients living with epilepsy in Rwanda. PLoS One. 2020;15(6):e0234095. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Monahan PO, Shacham E, Reece M, Kroenke K, Ong'or WO, Omollo O, et al. Validity/reliability of PHQ‐9 and PHQ‐2 depression scales among adults living with HIV/AIDS in western Kenya. J Gen Intern Med. 2009;24(2):189–197. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Arrieta J, Aguerrebere M, Raviola G, Flores H, Elliott P, Espinosa A, et al. Validity and utility of the Patient Health Questionnaire (PHQ)‐2 and PHQ‐9 for screening and diagnosis of depression in rural Chiapas, Mexico: a cross‐sectional study. J Clin Psychol. 2017;73(9):1076–1090. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Akena D, Joska J, Obuku EA, Stein DJ. Sensitivity and specificity of clinician administered screening instruments in detecting depression among HIV‐positive individuals in Uganda. AIDS Care. 2013;25(10):1245–1252. [DOI] [PubMed] [Google Scholar]
  • 43. Chibanda D, Verhey R, Gibson LJ, Munetsi E, Machando D, Rusakaniko S, et al. Validation of screening tools for depression and anxiety disorders in a primary care population with high HIV prevalence in Zimbabwe. J Affect Disord. 2016;198:50–55. [DOI] [PubMed] [Google Scholar]
  • 44. Kochhar P, Rajadhyaksha S, Suvarna V. Translation and validation of brief patient health questionnaire against DSM IV as a tool to diagnose major depressive disorder in Indian patients. J Postgrad Med. 2007;53(2):102–107. [DOI] [PubMed] [Google Scholar]
  • 45. Nyongesa MK, Mwangi P, Koot HM, Cuijpers P, Newton CRJC, Abubakar A. The reliability, validity and factorial structure of the Swahili version of the 7‐item generalized anxiety disorder scale (GAD‐7) among adults living with HIV from Kilifi, Kenya. Ann Gen Psychiatry. 2020;19(1):62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Monteiro RP, Nascimento BS, Monteiro TMC, Da Silva PDG, Ferreira AJC. Psychometric evidence of the 7‐Item Generalized Anxiety Disorder Questionnaire in Brazil. Int J Ment Health Addict. 2022;20(2):1023–1034. [Google Scholar]
  • 47. Verhey R, Chibanda D, Gibson L, Brakarsh J, Seedat S. Validation of the posttraumatic stress disorder checklist ‐ 5 (PCL‐5) in a primary care population with high HIV prevalence in Zimbabwe. BMC Psychiatry. 2018;18(1):109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Pereira‐Lima K, Loureiro SR, Bolsoni LM, Apolinario Da Silva TD, Osório FL. Psychometric properties and diagnostic utility of a Brazilian version of the PCL‐5 (complete and abbreviated versions). Eur J Psychotraumatol. 2019;10(1):1581020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Martínez‐Levy GA, Bermúdez‐Gómez J, Merlín‐García I, Flores‐Torres RP, Nani A, Cruz‐Fuentes CS, et al. After a disaster: validation of PTSD checklist for DSM‐5 and the four‐ and eight‐item abbreviated versions in mental health service users. Psychiatry Res. 2021;305:114197. [DOI] [PubMed] [Google Scholar]
  • 50. Niyonsenga J, Sengesho DN, Mutabaruka J. Psychometric validation of post‐traumatic stress disorder checklist for DSM–5 (PCL‐5) among Rwandan undergraduate students. Int J Behav Sci. 2021;15(3):207–212. [Google Scholar]
  • 51. Moretti‐Pires RO, Corradi‐Webster CM. [Adaptation and validation of the Alcohol Use Disorders Identification Test (AUDIT) for a river population in the Brazilian Amazon]. Cad Saude Publica. 2011;27(3):497–509. [DOI] [PubMed] [Google Scholar]
  • 52. Inoue S, Chitambi C, Vinikoor MJ, Kanguya T, Murray LK, Sharma A, et al. Testing the validity of the AUDIT‐C and AUDIT‐3 to detect unhealthy alcohol use among high‐risk populations in Zambia: a secondary analysis from two randomized trials. Drug Alcohol Depend. 2021;229(Pt A):109156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Medina‐Mora E, Carreño S, De la Fuente JR. Experience with the alcohol use disorders identification test (AUDIT) in Mexico. Recent Dev Alcohol. 1998;14:383–396. [DOI] [PubMed] [Google Scholar]
  • 54. Kuteesa MO, Cook S, Weiss HA, Kamali A, Weinmann W, Seeley J, et al. Comparing Alcohol Use Disorders Identification Test (AUDIT) with Timeline Follow Back (TLFB), DSM‐5 and Phosphatidylethanol (PEth) for the assessment of alcohol misuse among young people in Ugandan fishing communities. Addict Behav Rep. 2019;10:100233. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Henrique IFS, De Micheli D, Lacerda RBD, Lacerda LAD, Formigoni MLODS. [Validation of the Brazilian version of Alcohol, Smoking and Substance Involvement Screening Test (ASSIST)]. Rev Assoc Med Bras. 2004;50(2):199–206. [DOI] [PubMed] [Google Scholar]
  • 56. Humeniuk R, Ali R, Babor TF, Farrell M, Formigoni ML, Jittiwutikarn J, et al. Validation of the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST). Addiction. 103(6):1039–1047. [DOI] [PubMed] [Google Scholar]
  • 57. Kane JC, Murray LK, Bass JK, Johnson RM, Bolton P. Validation of a substance and alcohol use assessment instrument among orphans and vulnerable children in Zambia using Audio Computer Assisted Self‐Interviewing (ACASI). Drug Alcohol Depend. 2016;166:85–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Tiburcio Sainz M, Rosete‐Mohedano MG, Natera Rey G, Martínez Vélez NA, Carreño García S, Pérez Cisneros D. Validity and reliability of the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) in university students. Adicciones. 2016;28(1):19–27. [DOI] [PubMed] [Google Scholar]
  • 59. Harris PA, Taylor R, Minor BL, Elliott V, Fernandez M, O'neal L, et al. The REDCap consortium: building an international community of software platform partners. J Biomed Inform. 2019;95:103208. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)–a metadata‐driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61. Chibanda D, Benjamin L, Weiss HA, Abas M. Mental, neurological, and substance use disorders in people living with HIV/AIDS in low‐ and middle‐income countries. J Acquir Immune Defic Syndr. 2014;67:S54–S67. [DOI] [PubMed] [Google Scholar]
  • 62. Rahmati J, Ahmadi S, Rezaei S, Hosseinifard H, Dehnad A, Shabaninejad H, et al. The worldwide prevalence of anxiety in acquired immune deficiency syndrome patients: a systematic review and meta‐analysis. Med J Islam Repub Iran. 2021;35:101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63. Ayano G, Duko B, Bedaso A. The prevalence of post‐traumatic stress disorder among people living with HIV/AIDS: a systematic review and meta‐analysis. Psychiatr Q. 2020;91(4):1317–1332. [DOI] [PubMed] [Google Scholar]
  • 64. Duko B, Ayalew M, Ayano G. The prevalence of alcohol use disorders among people living with HIV/AIDS: a systematic review and meta‐analysis. Subst Abuse Treat Prev Policy. 2019;14(1):1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Edelman EJ, Tetrault JM, Fiellin DA. Substance use in older HIV‐infected patients. Curr Opin HIV AIDS. 2014;9(4):317. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66. Mwangala PN, Mabrouk A, Wagner R, Newton CRJC, Abubakar AA. Mental health and well‐being of older adults living with HIV in sub‐Saharan Africa: a systematic review. BMJ Open. 2021;11(9):e052810. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. Carmo Filho AD, Fakoury MK, Eyer‐Silva WDA, Neves‐Motta R, Kalil RS, Ferry FRDA. Factors associated with a diagnosis of major depression among HIV‐infected elderly patients. Rev Soc Bras Med Trop. 2013;46(3):352–354. [DOI] [PubMed] [Google Scholar]
  • 68. Bernard C, Font H, Diallo Z, Ahonon R, Tine JM, N'guessan Abouo F, et al. Prevalence and factors associated with severe depressive symptoms in older west African people living with HIV. BMC Psychiatry. 2020;20(1):442. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69. Cooley SA, Nelson B, Doyle J, Rosenow A, Ances BM. Collateral damage: impact of SARS‐CoV‐2 pandemic in people living with HIV. J Neurovirol. 2021;27(1):168–170. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70. Li MC, Ying FJ, Raj D, Li WP, Kukreja A, Omar SFS, et al. A retrospective analysis of the care cascades for non‐communicable disease and mental health among people living with HIV at a tertiary‐care centre in Malaysia: opportunities to identify gaps and optimize care. J Int AIDS Soc. 2020;23(11):e25638. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71. Klis S, Velding K, Gidron Y, Peterson K. Posttraumatic stress and depressive symptoms among people living with HIV in the Gambia. AIDS Care. 2011;23(4):426–434. [DOI] [PubMed] [Google Scholar]
  • 72. Olley BO, Zeier MD, Seedat S, Stein DJ. Post‐traumatic stress disorder among recently diagnosed patients with HIV/AIDS in South Africa. AIDS Care. 2005;17(5):550–557. [DOI] [PubMed] [Google Scholar]
  • 73. Parcesepe AM, Filiatreau LM, Ebasone PV, Dzudie A, Pence BW, Wainberg M, et al. Psychiatric comorbidity and psychosocial stressors among people initiating HIV care in Cameroon. PLoS One. 2022;17(6):e0270042. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74. Lee JS, Bainter SA, Tsai AC, Andersen LS, Stanton AM, Magidson JF, et al. Intersecting relationships of psychosocial and structural syndemic problems among people with HIV in South Africa: using network analysis to identify influential problems. AIDS Behav. 2023;27(6):1741–1756. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75. Bhardwaj A, Comins CA, Guddera V, Mcingana M, Young K, Phetlhu R, et al. Prevalence of depression, syndemic factors and their impact on viral suppression among female sex workers living with HIV in eThekwini, South Africa. BMC Womens Health. 2023;23(1):232. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76. Peprah E, Myers B, Kengne A‐P, Peer N, El‐Shahawy O, Ojo T, et al. Using a syndemics framework to understand how substance use contributes to morbidity and mortality among people living with HIV in Africa: a call to action. Int J Environ Res Public Health. 2022;19(3):1097. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77. Bockting C, Williams AD, Carswell K, Grech AE. The potential of low‐intensity and online interventions for depression in low‐ and middle‐income countries. Glob Ment Health. 2016;3:e25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78. McHugh RK, Murray HW, Barlow DH. Balancing fidelity and adaptation in the dissemination of empirically‐supported treatments: the promise of transdiagnostic interventions. Behav Res Ther. 2009;47(11):946–953. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79. Mansell W, Harvey A, Watkins E, Shafran R. Conceptual foundations of the transdiagnostic approach to CBT. J Cogn Psychother. 2009;23(1):6–19. [Google Scholar]
  • 80. Chang GC, West CA, Kim E, Low AJ, Lancaster KE, Behel SS, et al. Hazardous alcohol use and HIV indicators in six African countries: results from the Population‐based HIV Impact Assessments, 2015–2017. J Int AIDS Soc. 2022;25(11):e26029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81. Necho M, Belete A, Getachew Y. The prevalence and factors associated with alcohol use disorder among people living with HIV/AIDS in Africa: a systematic review and meta‐analysis. Subst Abuse Treat Prev Policy. 2020;15:1–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82. Kohler IV, Payne CF, Bandawe C, Kohler H‐P. The demography of mental health among mature adults in a low‐income, high‐HIV‐prevalence context. Demography. 2017;54(4):1529–1558. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83. Ross JL, Jiamsakul A, Avihingsanon A, Lee MP, Ditangco R, Choi JY, et al. Prevalence and risks of depression and substance use among adults living with HIV in the Asia–Pacific region. AIDS Behav. 2022;26(12):3862–3877. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84. Kanmogne GD, Qiu F, Ntone FE, Fonsah JY, Njamnshi DM, Kuate CT, et al. Depressive symptoms in HIV‐infected and seronegative control subjects in Cameroon: effect of age, education and gender. PLoS One. 2017;12(2):e0171956. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85. Zewudie BT, Geze S, Mesfin Y, Argaw M, Abebe H, Mekonnen Z, 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;2021:1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86. Vaingankar JA, Abdin E, Chong SA, Shafie S, Sambasivam R, Zhang YJ, et al. The association of mental disorders with perceived social support, and the role of marital status: results from a national cross‐sectional survey. Arch Public Health. 2020;78(1):1–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87. Rueda S, Law S, Rourke SB. Psychosocial, mental health, and behavioral issues of aging with HIV. Curr Opin HIV AIDS. 2014;9(4):325–331. [DOI] [PubMed] [Google Scholar]
  • 88. Patel V, Araya R, Chowdhary N, King M, Kirkwood B, Nayak S, et al. Detecting common mental disorders in primary care in India: a comparison of five screening questionnaires. Psychol Med. 2008;38(2):221–228. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89. Andersen LS, Saal W, Joska JA, Safren SA, Bantjes J, O'cleirigh C, et al. Improving detection of depression in people living with HIV: psychometric properties of the South African Depression Scale (SADS). AIDS Behav. 2021;25(11):3630–3637. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Table S1: Prevalence and co‐occurrence of symptoms of depression, anxiety, PTSD, or unhealthy alcohol or drug use, Women

Table S2: Prevalence and co‐occurrence of elevated symptoms of mental and substance use disorders, men

Table S3: Prevalence and co‐occurrence of symptoms of depression, anxiety, PTSD, or unhealthy alcohol or drug use, age 4049

Table S4: Prevalence and co‐occurrence of symptoms of depression, anxiety, PTSD, or unhealthy alcohol or drug use, age ≥ 50

Table S5: Prevalence and co‐occurrence of symptoms of depression, anxiety, PTSD, or unhealthy alcohol or drug use, <10 years on ART

Table S6: Prevalence and co‐occurrence of symptoms of depression, anxiety, PTSD, or unhealthy alcohol or drug use, >10 years on ART

Table S7: Prevalence and co‐occurrence of symptoms of depression, anxiety, PTSD, or unhealthy alcohol or drug use, single, divorced, separated, or widowed

Table S8: Prevalence and co‐occurrence of symptoms of depression, anxiety, PTSD, or unhealthy alcohol or drug use, married or living with a partner

Table S9: Prevalence and co‐occurrence of symptoms of depression, anxiety, PTSD, or unhealthy alcohol or drug use, primary or less education

Table S10: Prevalence and co‐occurrence of symptoms of depression, anxiety, PTSD, or unhealthy alcohol or drug use, secondary education or more

JIA2-27-e26359-s001.docx (52.9KB, docx)

Data Availability Statement

Complete data for this study cannot be posted in a supplemental file or a public repository because of legal and ethical restrictions. The Principles of Collaboration under which the IeDEA multiregional collaboration was founded and the regulatory requirements of the different countries' IRBs require the submission of a project concept proposal and approval by the IeDEA Executive Committee. To request data, please review IeDEA guidance and complete the concept proposal template, available at: https://www.iedea.org/resources/multiregional‐research‐sops‐templates/. Signing of a data‐sharing agreement may also be required.


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