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Mental health and adherence to antiretroviral therapy among Mexican people living with HIV during the COVID-19 pandemic

Abstract

Background

The mental health and medical follow-up of people living with HIV (PLWH) have been disrupted by the COVID-19 pandemic. The objectives of this study were to assess anxiety, depression and substance use in Mexican PLWH during the pandemic; to explore the association of these symptoms with adherence to antiretroviral therapy (ART), and to compare patients with and without vulnerability factors (low socioeconomic level, previous psychological and/or psychiatric treatment).

Methods

We studied 1259 participants in a cross-sectional study, PLWH receiving care at the HIV clinic in Mexico City were contacted by telephone and invited to participate in the study. We included PLWH were receiving ART; answered a structured interview on sociodemographic data and adherence to ART; and completed the psychological instruments to assess depressive and anxiety symptoms and substance use risk. Data collection was performed from June 2020 to October 2021.

Results

84.7% were men, 8% had inadequate ART adherence, 11% had moderate-severe symptoms of depression, and 13% had moderate-severe symptoms of anxiety. Adherence was related to psychological symptoms (p < 0.001). Vulnerable patients were more likely to be women, with low educational level and unemployed (p < 0.001).

Conclusions

It is important to address mental health of PLWH during the COVID-19 pandemic, with special attention to the most vulnerable individuals. Future studies are needed to understand the relationship between mental health and ART adherence.

Background

The COVID-19 pandemic has imposed significant burden of disease worldwide, as more than 500 million cases and more than 6 million deaths have been recorded worldwide [1]. In Mexico, more than 6 million cases and nearly 300.000 deaths had been recorded by July 2022 [2]. Safety measures have included isolation, use of facemasks, social distancing, and confinement. Paradoxically, these measures have promoted health mental issues in the population [3, 4]. Anxiety, depression, post-traumatic stress symptoms, sleep problems, irrational anger, and even suicidal behavior have been reported as consequences of the pandemic [5,6,7]. Some factors associated with mental health problems during the COVID-19 pandemic included comorbid physical and mental health problems, coping styles, stigma, psychosocial support, confidence in health services, risk of contracting COVID-19 or perceived likelihood of survival [5].

People living with HIV (PLWH) have been particularly affected by the COVID-19 pandemic due to the limited access to medical care, prevention measures, and treatment [8, 9]. During the pandemic, clinical follow-up could not be face-to-face in many cases [10] and health personnel have been overwhelmed with COVID-19 patients [11]. Also, economic problems have led to unemployment and increased poverty, making it difficult for vulnerable patients to transport themselves to collect their medications [12,13,14].

Similarly, the approach to mental health problems has been difficult during the pandemic due to the increased workload of health professionals [15, 16], but also due to the difficulty of providing face-to-face care [9, 17] as well as the economic and employment problems caused by the pandemic [12]. For the aforementioned reasons, alternative strategies of providing mental health care have included the use of technologies like telephone calls or video calls to evaluate and treat patients remotely [18,19,20,21]. In this sense, it has been demonstrated that these type of interventions improve outreach, allow to be performed remotely, with greater comfort and flexibility, and are also effective for psychological assessment and treatment [22, 23].

In these context of the pandemic, it became particularly important to closely monitor the development of mental health problems in vulnerable populations with preexisting high prevalence of these symptoms. PLWH are more likely to present anxiety and depressive symptoms than the general population [24, 25]. This is derived from circumstances surrounding their condition such as stigma and discrimination [26,27,28]. Comorbid psychiatric disorders can affect the quality of life of PLWH by increasing the likelihood of hopelessness, lack of interest in well-being, substance use, and risk behaviors [29]. In addition, these problems have been closely related to inadequate adherence to antiretroviral therapy (ART) and loss of clinical follow-up [30,31,32,33], which can lead to poorer health, progression to AIDS, development of resistance to ART and increased transmission of the virus [34,35,36]. Therefore, it is imperative to evaluate and address mental health problems in this population, especially in the most vulnerable individuals [37], to allow their adequate follow-up and adherence to ART. Therefore, the objectives of this study were to assess anxiety, depression and substance use in Mexican PLWH during the pandemic; to explore the association of these symptoms with adherence to ART, and to compare patients with and without vulnerability to mental health problems (low socioeconomic level, previous psychological and/or psychiatric treatment).

Methods

Setting and participants

The study was conducted in an adult HIV clinic at the National Institute of Respiratory Diseases in Mexico City. This hospital is the largest third-level national referral center for COVID-19 in Mexico. From early March 2020 the institution was repurposed for the treatment of patients with COVID-19 exclusively. The face-to-face care for HIV patients was canceled, medical appointments were provided through telemedicine (phone calls) and an organized system of appointments was implemented for ART refill and laboratory tests.

All patients receiving care at the HIV clinic (n = 1455) were contacted by telephone and invited to participate in the study. We included all patients who had a diagnosis of HIV; were receiving ART; answered a structured interview on sociodemographic data and adherence to ART; and completed the psychological instruments to assess depressive and anxiety symptoms and substance use risk. The duration of the evaluation phone call was between 20 and 40 min. Data collection was performed from June 2020 to October 2021.

The group of participants with vulnerability to mental health problems was compared vs. the group of participants without vulnerability. Participants with vulnerability were those who had psychological treatment at the institution during the 12 months prior to the pandemic, psychiatric treatment at the institution during the 12 months prior to the pandemic or those who had the lowest socioeconomic level. Patients in this group could meet one, two or three vulnerability criteria. Patients without vulnerability were those who did not meet any of these criteria. We established vulnerability criteria ad hoc for this study considering the association between poverty and mental health problems [38, 39] and due to the greater probability that PLWH has mental health problems especially if they had previous diagnosis [24, 25].

Design

Cross-sectional study which evaluated mental health and adherence variables in a group of Mexican people living with HIV by telephone. The STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) guidelines were followed when reporting the findings of the study.

Procedure

PLWH were contacted via telephone by five trained health psychologists inviting them to participate in the study. Priority was given to calling patients who met any of the vulnerability criteria described above. Those giving verbal consent to participate answered a structured interview, previously reviewed and discussed by psychologists, to collect sociodemographic information and data about the number of ART doses taken in the last thirty days. In addition, the General Anxiety Disorder Scale (GAD-7) [40], the Patient Health Questionnaire (PHQ-9) [41, 42] and the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) [43] were applied. Psychologists gave feedback to the participants, according to their anxiety, depression, and substance use scores. Participants with inadequate ART adherence, with moderate or severe levels of anxiety or depression, and those who obtained moderate or high risk of substance use were invited to receive psychological intervention via telephone. In this sense, users participated voluntarily and without receiving compensation beyond knowing their results and receiving attention if they needed it.

Measures

Sociodemographic data were collected through a structured questionnaire including age, gender, civil status, educational level, occupation, sexual orientation, and city of residence. We searched the socioeconomic level assigned by the social work department of the institution, and data about previous psychological or psychiatric treatment and last viral load count available were obtained from clinical records.

The percentage of ART adherence on the last thirty days, based on a patient's self-report of missed doses, was used as an indirect method proposed by the Pan-American Health Organization to assess ART adherence [44], this taking into account that it is a simple measurement that has been shown to have the same biases as other types of more complex measurements [45]. The percentage was calculated by subtracting the number of missed doses from the number of doses prescribed in the last thirty days, divided by the number of doses prescribed multiplied by 100. A percentage ≤ 95% was considered inadequate. Also, questions about doses taken after hours and incomplete doses were asked, in order to later provide an adequate intervention.

Anxiety symptoms were measured by using the culturally-adapted Spanish version of GAD-7 [40] which was validated in Mexican population living with HIV. The GAD-7 is a self-report scale based on the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) criteria for generalized anxiety disorder, including seven items scored from “0” (not at all) to “3” (nearly every day). Scale scores ranged from 0 to 21 and cut-off scores were defined as 0–4 (no anxiety symptoms); 5–9 (mild anxiety symptoms); 10–14 (moderate anxiety symptoms); and 15–21 (severe anxiety symptoms).

Depression symptoms were assessed by using the culturally-adapted Spanish version of the PHQ-9 [41, 42] which was validated in Mexican population living with HIV. This is a self-applicable scale including 9 items based on the diagnostic criteria of the DSM-IV for depressive disorder. Answers ranged from “0” (not at all) to “3” (nearly every day). Scale scores ranged from 0 to 27. Cut-off scores were defined as 0–4 (no depression symptoms); 5–9 (mild depression symptoms); 10–14 (moderate depression symptoms); 15–19 (moderately severe depression symptoms); and 20–27 (severe depression symptoms).

Substance use risk was evaluated with the Spanish version of ASSIST V3.1, which is an 8-item questionnaire designed to be administered by a health worker to a patient, developed to be culturally neutral and useable across a variety of cultures and populations for the screening of risk of use of the following substances: tobacco products, alcohol, cannabis, cocaine, amphetamine-type stimulants, sedatives and sleeping pills (benzodiazepines), hallucinogens, inhalants, opioids, and other drugs. The ASSIST determines a risk score for each substance. The score obtained for each substance falls into a ‘lower’, ‘moderate’, or ‘high’ risk category. The ASSIST obtains information from individuals about lifetime use of substances, and use of substances and associated problems over the last three months [43].

Data analysis

Sociodemographic variables, percentage of ART adherence, the severity level of anxiety and depression symptoms, and the risk of substance use were described by frequencies, percentages, means, and standard deviations (SD). The t-Student test and chi-square test were used to compare sociodemographic variables, ART adherence, and mental health variables between individuals with vulnerability vs. those without vulnerability. To calculate the sample size, the GPower statistical program was used [46], because the means of two groups were to be compared, and the ratio between the groups was 3–1, to find a mean effect size, with a probability of error of 0.05 a sample of at least 280 participants is needed, 70 participants in the vulnerability group and 210 participants in the non-vulnerability group. We used Pearson's correlation coefficients to explore possible associations between ART adherence and mental health variables between both groups (with and without vulnerability). Finally, a multiple linear regression analysis was performed on the outcome variable adherence to ART. Vulnerability, mental health problems (anxiety, depression, and substance use) and sociodemographic variables were introduced into the model to control for their effects. Collinearity diagnostics were performed with the tolerance and VIF indices, expecting them to be less than 2. Analyses were performed with IBM SPSS Statistics version 25 software and values were considered significant if p < 0.05.

Ethical considerations

The Institutional Research Board of the Instituto Nacional de Enfermedades Respiratorias (INER) reviewed and approved the study (Protocol Number: C31-20). Given restrictions imposed by the COVID-19 pandemic, and the minimal risk of the study, and as allowed by Council of International Organizations of Medical Sciences under these circumstances [47], the Institutional Research Board authorized the participants were invited by telephone and to give their verbal informed consent to participate in this study after having read the informed consent form to them and sent it by mail if they requested it.

Results

Sociodemographic and clinical data of participants

Of the 1,455 patients receiving care at our clinic, 1259 were included in the study. A total of 196 patients were not included: 46 did not agree to participate; 12 could not answer the interview due to medical conditions such as cognitive impairment or medical devices that prevented them from speaking (e.g. tracheostomy); 112 could not be located in attempted phone calls; and 26 were being treated at another clinic. The mean age was 42 years (SD = 10.11). Most participants were male (84.7%), single (69.6%), and residents of Mexico City (68.3%). Seventy percent of the participants were employed (either formally or informally), and most of them identified themselves as homosexual (61.8%). Concerning vulnerability criteria, 9% had required psychological treatment in the 12 months prior to the pandemic, and 7% had psychiatric treatment. Slightly more than 20% of the participants met at least one vulnerability criteria (previous psychiatric or psychological treatment or having the lowest socioeconomic level). Also, according to the last collected viral load count, at least 94% of the participants had undetectable viral load and only around 6% had detectable viral loads (the mean log viral load was 2.3 copies/ml, S.D. = 0.97). Sociodemographic characteristics of study participants and comparison between groups with and without vulnerability are shown in Table 1.

Table 1 Sociodemographic characteristics of study participants and comparison between groups with and without vulnerability

When comparing sociodemographic characteristics between people with (21.9% n = 276) and without (78.1% n = 983) vulnerability criteria, significant differences were found in gender, marital status, educational level, occupation, and sexual orientation. Specifically, in the group with vulnerability, there were more women (p < 0.001), more divorced and widowed people (p < 0.001), more people with low educational levels (p < 0.001), more unemployed (p < 0.001), and more heterosexuals (p < 0.001). Table 1 shows the comparison of sociodemographic variables between people with and without vulnerability.

Psychological variables and ART adherence

Regarding psychological and adherence variables, 7.7% of participants had inadequate adherence to ART (< 95%), 11.5% had moderate to severe symptoms of depression, 13% had moderate to severe symptoms of anxiety; and 8.3% had comorbidity of anxiety and depression symptoms. Also, 21% had moderate to high risk of tobacco use, 3% had moderate to high risk of alcohol or cannabis use, and 1% had moderate to high risk of cocaine use. When comparing people with and without vulnerability, statistically significant differences were found in depressive and anxious symptomatology and risk of cocaine use. Specifically, in the group with vulnerability, scores on depression and anxiety scale were higher (p < 0.001) and a higher proportion of participants presented a moderate risk of cocaine use (p < 0.001). Table 2 shows the psychological variables in both groups and the total population, as well as their comparison.

Table 2 Comparison of psychological variables between groups with and without vulnerability

Adherence had a low but significant correlation with all psychological variables. Anxiety and depression symptoms were highly correlated (r = 0.781, p < 0.001), and these had a low but significant correlation with the risk of use of all substances. Finally, the risk of using one substance was related to the risk of using other substances (Table 3).

Table 3 Correlation of ART adherence with psychological variables and risk of substance use

Multiple regression analysis on ART adherence was significant F(14,1240) = 4.786, p < 0.001, and although the adjusted R2 was very small (0.041), some variables were found to predict adherence to ART. Specifically, higher educational levels, both high school (B = 1.367, 95 CI 0.632 to 2.103, p = 0.001), and university (B = 1.474, 95 CI 0.727 to 2.221, p = . 001) increased adherence to ART; on the other hand, higher scores on the depression instrument (B = -0.109, 95 CI − 0.209 to − 0.009, p = 0.032) and higher risk of alcohol consumption (B = -0.81, 95 CI − 0.159 to − 0.003, p = 0.042) were related to reduced reported adherence to ART. Table 4 shows the coefficients, confidence intervals and p-values of all the variables in the model.

Table 4 Multiple regression model of ART adherence (n = 1259)

Discussion

The main objective of this study was to describe mental health problems in Mexican people living with HIV during the COVID-19 pandemic. We found that 13% of the population studied had moderate-severe symptoms of anxiety, and 11% had moderate-severe symptoms of depression. These percentages may seem low, compared to other studies conducted in PLWH during the same period. In a cohort in New York, anxious symptomatology was reported in 43% of the participants and depressive symptomatology in 45%, although measurements were performed with the PHQ-2 and GAD-2 instruments, which may be less specific [48]. In other studies, conducted with PLWH in the United States, around 30% of participants presented moderate-severe symptoms of depression [49, 50]. A possible explanation for the lower levels of mental health problems found in our study could be that patients attending our institution are well-controlled, most with undetectable viral load. Therefore, it is a population that have high levels of adherence and are generally in good health, so they may perceive fewer risks and may not suffer as much anxiety as other uncontrolled populations. The risk of substance use, except for tobacco, was also lower in our population, compared to other studies conducted during the pandemic where up to 13% of initiation and increase in substance use has been reported [49].

Seven percent of the population studied reported inadequate adherence (< 95%) to ART, which was similar to other studies conducted in Latin America, reporting values of 5–12% [51, 52], and this was found to be related to educational level, the level of depression and alcohol consumption. Monitoring self-reported adherence to ART during the COVID-19 pandemic is especially relevant, as other studies have reported up to 14% of PLWH considered that the pandemic had decreased their adherence [53]. The reported causes of decreased ART adherence during the pandemic include the lack of life structure derived from the mandatory stay-at-home and the limited access to medication [54]. One possible explanation for the relatively high reported adherence in this study could be the belief that ART could work against COVID-19 infection, so many people with HIV became very adherent [55].

In our study, people with greater vulnerability to mental health problems (previous psychological/psychiatric treatment and low educational level) were more likely to be women, unemployed, and with low educational levels. This is consistent with the fact that women, during the pandemic, have reported more mental health problems and difficulties in maintaining adequate ART adherence during the pandemic [52, 56, 57]. Besides, being female has been recognized as a psychosocial vulnerability factor, both in the general population [58] and in PLWH [39, 59]. On the other hand, patients with previous vulnerability in this study presented greater problems of anxiety, depression, and substance use, consistent with other studies reporting a greater likelihood of emotional symptoms in patients with a history of mood disorder [48, 55]. With this in mind, it is important to monitor closely those individuals who are more likely to have mental health problems, considering the impact that these diagnoses can have on ART adherence and other risk behaviors, such as attendance at appointments, and their close relationship with health outcomes [30, 34, 35].

Throughout the study period, Mexico experienced different COVID waves that increased the number of cases and deaths, with 200,000 confirmed cases of COVID-19 at the beginning of the study and more than 3 million confirmed cases by the end of the study. This, combined with the implementation of isolation and social distancing measures, could have affected the results of this study across the different evaluation time points [60]. However, to account for this, the levels of mental health and adherence to ART were compared depending on the time of evaluation and we found that there were no significant differences between the distinct waves.

Although the study provides important results, there are some limitations that should be taken into account. First, the definition of vulnerability may include biases, as there may be vulnerable individuals who were not assessed or treated within the established time period. This could be due to stigma about receiving care, lack of access to health services, or even poor recording of health information. For this reason, caution should be taken when generalizing the results and keep in mind that these biases could be present. On the other hand, ART adherence information was obtained by self-report. Although this is a common way to measure adherence behaviors, it may represent a recall bias or social desirability bias in patients interviewed, therefore, this possible bias, which has also been reported in other more complex measurements such as psychometric scales, must be taken into account [45]. Related to this, the time that the participants had been on antiretroviral treatment was not measured, it is a variable important to take into account, since this may affect adherence, it will not be the same if a patient is starting to use antiretroviral treatment and is adapting to a new medication routine, or if it has been under treatment for years. For this reason, we consider it important to carry out future studies that include the measurement of time under antiretroviral treatment. Another potential limitation of the study was the use of telephone interviews, as this method could lead to loss of non-verbal data, loss of contextual data or distortion of verbal data, in addition to the fact that people without access to a telephone could have been left out of the study, for that reason it is proposed that in future studies, an exhaustive search for people with limited resources and who cannot access communication channels such as the telephone, was made. Finally, the study was cross-sectional and performed in only one center, so it would be important to perform multi-center longitudinal studies to assess the impact of the pandemic on PLWH mental health and ART adherence in the long term and with higher representativeness.

Conclusions

This study found that people with previous psychological vulnerability were more likely to present current mental health problems, such as anxiety, depression and substance use. In addition, adherence to antiretroviral treatment was found to be related to mental health problems as depression and alcohol consumption, and with educational level. Considering the difficulties in maintaining ART adherence and the increased risk of developing mental health problems during the pandemic, it is essential to monitor the mental health of PLWH, especially of those with a history of mental health problems. It is important to pay special attention to women, people with scarce resources and educational level, since they are at greater risk of presenting psychological vulnerability. Prevention strategies and effective psychological interventions to address these mental health symptoms in PLWH should be designed.

Availability of data and materials

The current article includes the complete raw data set collected in the study including the participants' data set. The data file was uploaded to the Figshare repository https://0-doi-org.brum.beds.ac.uk/10.6084/m9.figshare.20383728.

References

  1. WHO. WHO Coronavirus (COVID-19) Dashboard. 2021. https://covid19.who.int. 5 Oct 2021.

  2. WHO. WHO Coronavirus (COVID-19) Dashboard. Mexico. 2021. https://covid19.who.int/region/amro/country/mx. 5 Oct 2021.

  3. Galea S, Merchant RM, Lurie N. The mental health consequences of COVID-19 and physical distancing: the need for prevention and early intervention. JAMA Intern Med. 2020;180(6):817–8.

    Article  CAS  PubMed  Google Scholar 

  4. Mengin A, Allé MC, Rolling J, Ligier F, Schroder C, Lalanne L, et al. Psychopathological consequences of confinement. L’Encephale. 2020;46(3S):S43-52.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Hossain MM, Tasnim S, Sultana A, Faizah F, Mazumder H, Zou L, et al. Epidemiology of mental health problems in COVID-19: a review. F1000Research. 2020;9:636.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Kumar A, Nayar KR. COVID 19 and its mental health consequences. J Ment Health. 2021;30(1):1–2.

    Article  PubMed  Google Scholar 

  7. The Lancet Psychiatry. COVID-19 and mental health. Lancet Psychiatry. 2021;8(2):87–87.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Jiang H, Zhou Y, Tang W. Maintaining HIV care during the COVID-19 pandemic. Lancet HIV. 2020;7(5):e308–9.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Ridgway JP, Schmitt J, Friedman E, Taylor M, Devlin S, McNulty M, et al. HIV care continuum and COVID-19 outcomes among people living with HIV during the COVID-19 Pandemic, Chicago. IL AIDS Behav. 2020;24(10):2770–2.

    Article  PubMed  Google Scholar 

  10. Wootton AR, McCuistian C, Legnitto Packard DA, Gruber VA, Saberi P. Overcoming technological challenges: lessons learned from a telehealth counseling study. Telemed J E-Health Off J Am Telemed Assoc. 2020;26(10):1278–83.

    Google Scholar 

  11. Shiau S, Krause KD, Valera P, Swaminathan S, Halkitis PN. The burden of COVID-19 in people living with HIV: a syndemic perspective. AIDS Behav. 2020;24(8):2244–9.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Ayittey FK, Ayittey MK, Chiwero NB, Kamasah JS, Dzuvor C. Economic impacts of Wuhan 2019-nCoV on China and the world. J Med Virol. 2020;92(5):473–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Kalichman SC, Eaton LA, Berman M, Kalichman MO, Katner H, Sam SS, et al. Intersecting pandemics: impact of SARS-CoV-2 (COVID-19) protective behaviors on people living with HIV, Atlanta. Georgia J Acquir Immune Defic Syndr. 2020;85(1):66–72.

    Article  CAS  PubMed  Google Scholar 

  14. McLinden T, Stover S, Hogg RS. HIV and food insecurity: a syndemic amid the COVID-19 Pandemic. AIDS Behav. 2020;24(10):2766–9.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Brooks SK, Webster RK, Smith LE, Woodland L, Wessely S, Greenberg N, et al. The psychological impact of quarantine and how to reduce it: rapid review of the evidence. Lancet Lond Engl. 2020;395(10227):912–20.

    Article  CAS  Google Scholar 

  16. Dosil-Santamaría M, Ozamiz-Etxebarria N, Redondo Rodríguez I, Jaureguizar Albondiga-Mayor J, Picaza GM. Psychological impact of COVID-19 on a sample of Spanish health professionals. Rev Psiquiatr Salud Ment Engl Ed. 2021;14(2):106–12.

    PubMed  PubMed Central  Google Scholar 

  17. Jácome C, Pereira AM, Amaral R, Alves-Correia M, Almeida R, Mendes S, et al. The use of remote care during the coronavirus disease 2019 pandemic - a perspective of Portuguese and Spanish physicians. Eur Ann Allergy Clin Immunol. 2020 Dec 23;

  18. Adhanom GT. Addressing mental health needs: an integral part of COVID-19 response. World Psychiatry Off J World Psychiatr Assoc WPA. 2020;19(2):129–30.

    Google Scholar 

  19. Doraiswamy S, Abraham A, Mamtani R, Cheema S. Use of telehealth during the COVID-19 Pandemic: scoping review. J Med Internet Res. 2020;22(12):e24087–e24087.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Goldman ML, Druss BG, Horvitz-Lennon M, Norquist GS, Kroeger Ptakowski K, Brinkley A, et al. Mental health policy in the era of COVID-19. Psychiatr Serv Wash DC. 2020;71(11):1158–62.

    Article  Google Scholar 

  21. Moreno C, Wykes T, Galderisi S, Nordentoft M, Crossley N, Jones N, et al. How mental health care should change as a consequence of the COVID-19 pandemic. Lancet Psychiatry. 2020;7(9):813–24.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Alqahtani MMJ, Alkhamees HA, Alkhalaf AM, Alarjan SS, Alzahrani HS, AlSaad GF, et al. Toward establishing telepsychology guideline. Turning the challenges of COVID-19 into opportunity. Ethics Med Public Health. 2021;16:100612.

    Article  CAS  PubMed  Google Scholar 

  23. Coughtrey AE, Pistrang N. The effectiveness of telephone-delivered psychological therapies for depression and anxiety: a systematic review. J Telemed Telecare. 2018;24(2):65–74.

    Article  PubMed  Google Scholar 

  24. Kagee A, Saal W, De Villiers L, Sefatsa M, Bantjes J. The prevalence of common mental disorders among South Africans seeking HIV testing. AIDS Behav. 2017;21(6):1511–7.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Sullivan LE, Goulet JL, Justice AC, Fiellin DA. Alcohol consumption and depressive symptoms over time: a longitudinal study of patients with and without HIV infection. Drug Alcohol Depend. 2011;117(2–3):158–63.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Duko B, Geja E, Zewude M, Mekonen S. Prevalence and associated factors of depression among patients with HIV/AIDS in Hawassa, Ethiopia, cross-sectional study. Ann Gen Psychiatry. 2018;30(17):45–45.

    Article  Google Scholar 

  27. Logie C, James L, Tharao W, Loutfy M. Associations between HIV-related stigma, racial discrimination, gender discrimination, and depression among HIV-positive African, Caribbean, and Black women in Ontario. Canada AIDS Patient Care STDs. 2013;27(2):114–22.

    Article  PubMed  Google Scholar 

  28. Turan B, Budhwani H, Fazeli PL, Browning WR, Raper JL, Mugavero MJ, et al. How does stigma affect people living with HIV? The mediating roles of internalized and anticipated HIV stigma in the effects of perceived community stigma on health and psychosocial outcomes. AIDS Behav. 2017;21(1):283–91.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Nanni MG, Caruso R, Mitchell AJ, Meggiolaro E, Grassi L. Depression in HIV infected patients: a review. Curr Psychiatry Rep. 2015. https://0-doi-org.brum.beds.ac.uk/10.1007/s11920-014-0530-4.

    Article  PubMed  Google Scholar 

  30. Cichowitz C, Maraba N, Hamilton R, Charalambous S, Hoffmann CJ. Depression and alcohol use disorder at antiretroviral therapy initiation led to disengagement from care in South Africa. PLoS ONE. 2017;12(12):e0189820.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Yehia BR, Stewart L, Momplaisir F, Mody A, Holtzman CW, Jacobs LM, et al. Barriers and facilitators to patient retention in HIV care. BMC Infect Dis. 2015;15(1):246.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Yu Y, Luo D, Chen X, Huang Z, Wang M, Xiao S. Medication adherence to antiretroviral therapy among newly treated people living with HIV. BMC Public Health. 2018;18(1):825.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Gutiérrez-Velilla E, Piñeirúa-Menéndez A, Ávila-Ríos S, Caballero-Suárez NP. Clinical follow-up in people living with HIV during the COVID-19 pandemic in Mexico. AIDS Behav. 2022;26(8):2798–812.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Carriquiry G, Fink V, Koethe JR, Giganti MJ, Jayathilake K, Blevins M, et al. Mortality and loss to follow-up among HIV-infected persons on long-term antiretroviral therapy in Latin America and the Caribbean. J Int AIDS Soc. 2015;18(1):20016.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Gebrezgabher BB, Kebede Y, Kindie M, Tetemke D, Abay M, Gelaw YA. Determinants to antiretroviral treatment non-adherence among adult HIV/AIDS patients in northern Ethiopia. AIDS Res Ther. 2017;14:16.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Skarbinski J, Rosenberg E, Paz-Bailey G, Hall HI, Rose CE, Viall AH, et al. Human immunodeficiency virus transmission at each step of the care continuum in the United States. JAMA Intern Med. 2015;175(4):588–96.

    Article  PubMed  Google Scholar 

  37. Iversen J, Sabin K, Chang J, Morgan Thomas R, Prestage G, Strathdee SA, et al. COVID-19, HIV and key populations: cross-cutting issues and the need for population-specific responses. J Int AIDS Soc. 2020;23(10):e25632–e25632.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Knifton L, Inglis G. Poverty and mental health: policy, practice and research implications. BJPsych Bull. 2020;44(5):193–6.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Solomon D, Tariq S, Alldis J, Burns F, Gilson R, Sabin C, et al. Ethnic inequalities in mental health and socioeconomic status among older women living with HIV: results from the PRIME Study. Sex Transm Infect. 2022. https://0-doi-org.brum.beds.ac.uk/10.1136/sextrans-2020-054788.

    Article  PubMed  Google Scholar 

  40. Gutiérrez-Velilla E, Barrientos-Casarrubias V, Cruz-Maycott R, Perrusquia-Ortiz LE, Alvarado-de la Barrera C, Ávila-Ríos S, et al. Assessment of anxiety in Mexican persons living with HIV using a culturally-adapted version of the GAD-7 test. J Health Psychol. 2022. https://0-doi-org.brum.beds.ac.uk/10.1177/13591053211072687.

    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):1076–90.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Familiar I, Ortiz-Panozo E, Hall B, Vieitez I, Romieu I, Lopez-Ridaura R, et al. Factor structure of the Spanish version of the patient health questionnaire-9 in Mexican women. Int J Methods Psychiatr Res. 2015;24(1):74–82.

    Article  PubMed  Google Scholar 

  43. 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). Addict Abingdon Engl. 2008;103(6):1039–47.

    Article  Google Scholar 

  44. Organización Panamericana de la Salud. Experiencias Exitosas en el Manejo de la Adherencia al Tratamiento Antirretroviral en Latinoamérica. Área de salud familiar y comunitaria. Proyecto VIH/SIDA. Washington, D. C.: OPS. 2011. ISBN 978-92-75-33217-7. https://www.paho.org/es/node/50480

  45. Smith R, Villanueva G, Probyn K, Sguassero Y, Ford N, Orrell C, et al. Accuracy of measures for antiretroviral adherence in people living with HIV. Cochrane Database Syst Rev. 2022;7:CD013080.

    PubMed  Google Scholar 

  46. Erdfelder E, Faul F, Buchner A. GPOWER: a general power analysis program. Behav Res Methods Instrum Comput. 1996;28(1):1–11.

    Article  Google Scholar 

  47. Organización Panamericana de la Salud y Consejo de Organizaciones Internacionales de las Ciencias Médica. Pautas éticas internacionales para la investigación relacionada con la salud con seres humanos, Cuarta Edición. Ginebra: Consejo de Organizaciones Internacionales de las Ciencias Médicas (CIOMS); 2016. ISBN: 978-929036090-2. https://iris.paho.org/handle/10665.2/34457. https://iris.paho.org/bitstream/handle/10665.2/34457/9789290360902-spa.pdf?sequence=5&isAllowed=y.

  48. Pizzirusso M, Carrion-Park C, Clark US, Gonzalez J, Byrd D, Morgello S. Physical and mental health screening in a New York City HIV cohort during the COVID-19 pandemic: a preliminary report. J Acquir Immune Defic Syndr. 2021;86(3):e54-60.

    Article  CAS  PubMed  Google Scholar 

  49. Czeisler MÉ, Marynak K, Clarke KEN, Salah Z, Shakya I, Thierry JM, et al. Delay or avoidance of medical care because of COVID-19-related concerns—United States, June 2020. MMWR Morb Mortal Wkly Rep. 2020;69(36):1250–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Parisi CE, Varma DS, Wang Y, Vaddiparti K, Ibañez GE, Cruz L, et al. Changes in mental health among people with HIV during the COVID-19 pandemic: qualitative and quantitative perspectives. AIDS Behav. 2022;26(6):1980–91.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Ballivian J, Alcaide ML, Cecchini D, Jones DL, Abbamonte JM, Cassetti I. Impact of COVID-19-related stress and lockdown on mental health among people living with HIV in Argentina. J Acquir Immune Defic Syndr. 2020;85(4):475–82.

    Article  CAS  PubMed  Google Scholar 

  52. da Cunha GH, Lima MAC, Siqueira LR, Fontenele MSM, Ramalho AKL, de Almeida PC. Lifestyle and adherence to antiretrovirals in people with HIV in the COVID-19 pandemic. Rev Bras Enferm. 2022;18:75.

    Google Scholar 

  53. Linnemayr S, Jennings Mayo-Wilson L, Saya U, Wagner Z, MacCarthy S, Walukaga S, et al. HIV care experiences during the COVID-19 pandemic: mixed-methods telephone interviews with clinic-enrolled HIV-infected adults in Uganda. AIDS Behav. 2021;25(1):28–39.

    Article  PubMed  Google Scholar 

  54. Petrova M, Miller-Perusse M, Hirshfield S, Carrico A, Horvath K. Effect of the COVID-19 pandemic on stimulant use and antiretroviral therapy adherence among men who have sex with men living with HIV: qualitative focus group study. JMIR Form Res. 2022;6(5):e30897.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Kuman-Tunçel Ö, Pullukçu H, Erdem HA, Kurtaran B, Taşbakan SE, Taşbakan M. COVID-19-related anxiety in people living with HIV: an online cross-sectional study. Turk J Med Sci. 2020;50(8):1792–800.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Jones DL, Rodriguez VJ, Salazar AS, Montgomerie E, Raccamarich PD, Uribe Starita C, et al. Sex differences in the association between stress, loneliness, and COVID-19 burden among people with HIV in the United States. AIDS Res Hum Retroviruses. 2021;37(4):314–21.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Devlin SA, Johnson AK, McNulty MC, Joseph OL, Hall A, Ridgway JP. “Even if I’m undetectable, I just feel like I would die”: a qualitative study to understand the psychological and socioeconomic impacts of the COVID-19 pandemic on women living with HIV (WLWH) in Chicago, IL. BMC Womens Health. 2022;22(1):218.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Kiely KM, Brady B, Byles J. Gender, mental health and ageing. Maturitas. 2019;129:76–84.

    Article  CAS  PubMed  Google Scholar 

  59. Reed E, West BS, Frost E, Salazar M, Silverman JG, McIntosh CT, et al. Economic vulnerability, violence, and sexual risk factors for HIV among female sex workers in Tijuana, Mexico. AIDS Behav. 2022. https://0-doi-org.brum.beds.ac.uk/10.1007/s10461-022-03670-0.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Secretaria de Salud. Informe integral de COVID-19 en México. Ciudad de Mexico: Secretaria de Salud; 2022.

    Google Scholar 

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Acknowledgements

Authors are gratefully indebted to the study participants. We thank social workers Graciela Guzman Valdéz, Uriel Contreras Osorio and psychologists Luis Daniel Pérez López and Roberto Adrián Barriguete Rodríguez, for the support provided during data collection.

Funding

This study was supported by the Consejo Nacional de Ciencia y Tecnología (CONACyT, Research Grant No. 312872) and the Mexican Government (Programa Presupuestal P016, Anexo 13 del Decreto del Presupuesto de Egresos de la Federación).

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Contributions

EG-V collected and analyzed data and wrote the manuscript. VB-C designed and supervised the study, collected data and wrote the manuscript. MG-PS collected data and edited the manuscript. LEP-O collected data and edited the manuscript. RC-M collected data and edited the manuscript. CA-de la B edited the manuscript. SÁ-R provided access to collected data, supervised the study and edited the manuscript. NPC-S designed and supervised the study, collected data and wrote the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Nancy Patricia Caballero-Suárez.

Ethics declarations

Ethics approval and consent to participate

The Institutional Research Board of the Instituto Nacional de Enfermedades Respiratorias (INER) approved the study (Research Number C31-20) and verbal consent was allowed due to institutional and national lockdown recommendations to preserve safety during the pandemic. Given restrictions imposed by the Severe Acute Respiratory Syndrome Coronavirus 2 pandemic, participants were invited by telephone and asked to give their verbal informed consent to participate in this study.

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Not applicable.

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No potential competing interests was reported by the authors.

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Gutiérrez-Velilla, E., Barrientos-Casarrubias, V., Gómez-Palacio Schjetnan, M. et al. Mental health and adherence to antiretroviral therapy among Mexican people living with HIV during the COVID-19 pandemic. AIDS Res Ther 20, 34 (2023). https://0-doi-org.brum.beds.ac.uk/10.1186/s12981-023-00532-0

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