Ageing with HIV: a longitudinal study of markers of resilience in young adults with perinatal exposure to HIV, with or without perinatally acquired HIV

Patricia A Sirois, Yanling Huo, Molly L Nozyce, Patricia A Garvie, Lynnette L Harris, Kathleen Malee, Robin McEvoy, Claude A Mellins, Sharon L Nichols, Renee Smith, Katherine Tassiopoulos, Pediatric HIV/AIDS Cohort Study, Patricia A Sirois, Yanling Huo, Molly L Nozyce, Patricia A Garvie, Lynnette L Harris, Kathleen Malee, Robin McEvoy, Claude A Mellins, Sharon L Nichols, Renee Smith, Katherine Tassiopoulos, Pediatric HIV/AIDS Cohort Study

Abstract

Introduction: Medical challenges, including perinatally acquired HIV (PHIV), can be considered adversity with the potential to compromise individuals' ability to meet societal expectations across the lifespan. Studies suggest that resilience, defined as positive adaptation in the context of adversity, helps individuals overcome challenges and improve their quality of life. Few longitudinal studies have examined resilience in young adults with perinatally acquired HIV (YAPHIV) or perinatal HIV exposure, uninfected (YAPHEU). We examined three young adult milestones, which can affect the life-long quality of life, as markers of resilience: high school graduation, postsecondary education and current employment.

Methods: Analyses included YAPHIV and YAPHEU, ages 19-27 years, followed in longitudinal cohort studies: Pediatric HIV/AIDS Cohort Study Adolescent Master Protocol (AMP) (7-17 years) and AMP Up (≥18 years). Factors known to influence the attainment of milestones (outcomes) were examined: executive function, cognitive efficiency (working memory and processing speed), behavioural/social-emotional functioning, parent/caregiver mental/physical health and cumulative risk. HIV disease markers for YAPHIV were examined. The most recent AMP assessment was used for each factor; outcomes were measured at AMP Up 1-year follow-up. Separate robust Poisson regression models were used to assess associations of each factor with each outcome; PHIV status was explored as an effect modifier of each association.

Results: Participants (N = 315; YAPHIV = 228): 58% female, 67% Black and 27% Hispanic. Compared to YAPHEU, YAPHIV were older and from families with higher median income and fewer symptoms of parent/caregiver mental health/substance use disorders. Proportions of YAPHIV and YAPHEU, respectively, who achieved each milestone were comparable: 82% versus 78% for high school graduation (p = 0.49), 45% versus 51% for postsecondary education (p = 0.35) and 48% versus 54% for current employment (p = 0.32). Higher cognitive efficiency was positively associated with postsecondary education and current employment. Higher executive function, age-appropriate behavioural/social-emotional functioning and lower cumulative risk were associated with academic milestones. Among YAPHIV, positive associations were: higher current CD4 with postsecondary education and lower nadir CD4 with current employment. PHIV status did not modify any association.

Conclusions: YAPHIV and YAPHEU demonstrated resilience, attaining at least one young adult milestone. Cognitive, behavioural and social resources to support resilience in childhood and adolescence may provide the foundation for continued achievement throughout adulthood.

Keywords: lifespan development; milestones; perinatal HIV infection; perinatal HIV-exposed uninfected; resilience; young adults.

© 2022 The Authors. Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of the International AIDS Society.

Figures

Figure 1
Figure 1
Compensatory (main effects) model of resilience in the AMP Up cohort of the Pediatric HIV/AIDS Cohort Study. Resilience was defined by participants’ attainment of one or more young adult milestones. A measure of cumulative risk developed for this study assessed the total number of risks present across all domains. All measures were collected during AMP except for the PHQ‐9 and CES‐D‐10 collected at entry into AMP Up. AMP, Adolescent Master Protocol; AMP Up, long‐term follow‐up of participants age 18 and older; BASC‐2, Behavior Assessment System for Children, Second Ed. [37]; BRIEF, Behavior Rating Inventory of Executive Function [36]; BRI, Behavioral Regulation Index; CDC, Centers for Disease Control and Prevention; CES‐D‐10, Center for Epidemiological Studies Depression Scale [42]; MCI, Metacognition Index; PHQ‐9, Patient Health Questionnaire [41]; Wechsler, Wechsler Intelligence Scale for Children, Fourth Ed. [34] or Wechsler Adult Intelligence Scale, Fourth Ed. [35]; YAPHIV, young adults with perinatally acquired HIV.
Figure 2
Figure 2
(a) Adjusted associations between predictors and attainment of young adult milestones. The association between each predictor and outcome is presented as follows: the solid diamond represents the prevalence ratio, and the horizontal line represents the 95% confidence interval. In addition, the dotted vertical line represents the null value (prevalence ratio = 1.0). The adjusted prevalence ratio for the attainment of a specific milestone compared participants with a specific predictor versus a reference group. Each model adjusted for sex, race/ethnicity, Wechsler FSIQ (except the model for cognitive efficiency due to potential overcorrection), family socio‐economic status (an index including annual income and household density) and age at the time of measurement of each predictor. aIndicates lower frequency or intensity of problems. (b) Adjusted associations between predictors and attainment of young adult milestones. The association between each predictor and outcome is presented as follows: the solid diamond represents the prevalence ratio, and the horizontal line represents the 95% confidence interval. In addition, the dotted vertical line represents the null value (prevalence ratio = 1.0). The adjusted prevalence ratio for the attainment of a specific milestone compared participants with a specific predictor versus a reference group. Each model adjusted for sex, race/ethnicity, Wechsler FSIQ, family socio‐economic status (an index including annual income and household density), and age at the time of measurement of each predictor. BASC‐2, Behavior Assessment System for Children, Second Ed. [37]; BRIEF, Behavior Rating Inventory of Executive Function [36]; Risk index, a study‐specific summary of risks; Wechsler FSIQ, Wechsler Intelligence Scale for Children, Fourth Ed. [34] or Wechsler Adult Intelligence Scale, Fourth Ed. [35] Full‐Scale Intelligence Quotient.
Figure 3
Figure 3
Adjusted associations between measures of HIV disease severity and attainment of young adult milestones in YAPHIV. The association between each predictor and outcome is presented as follows: the solid diamond represents the prevalence ratio, and the horizontal line represents the 95% confidence interval. In addition, the dotted vertical line represents the null value (prevalence ratio = 1.0). The adjusted prevalence ratio for the attainment of a specific milestone compared YAPHIV participants with a specific measure of HIV disease severity (predictor) versus a reference group. Each model adjusted for sex, race/ethnicity, Wechsler FSIQ (except the models for nadir CD4 and peak viral load), family socio‐economic status (an index including annual income and household density) and age at the time of measurement of each predictor. Wechsler FSIQ, Wechsler Intelligence Scale for Children, Fourth Ed. [34] or Wechsler Adult Intelligence Scale, Fourth Ed. [35] Full‐Scale Intelligence Quotient; YAPHIV, young adults with perinatally acquired HIV.

References

    1. Hilliard ME, McQuaid EL, Nabors L, Hood KK. Resilience in youth and families living with pediatric health and developmental conditions: introduction to the special issue on resilience. J Pediatr Psychol. 2015;40(9):835–9.
    1. Masten AS. Ordinary magic: resilience in development. New York: Guilford Press; 2014.
    1. IOM (Institute of Medicine) and NRC (National Research Council) . Investing in the health and well‐being of young adults. Washington, DC: National Academies Press; 2015.
    1. Betancourt TS, Meyers‐Ohki SE, Charrow A, Hansen N. Annual research review: mental health and resilience in HIV/AIDS‐affected children – a review of the literature and recommendations for future research. J Child Psychol Psychiatry. 2013;54(4):423–44.
    1. Li X, Chi P, Sherr L, Stanton B. Psychological resilience among children affected by parental HIV/AIDS: a conceptual framework. Health Psychol Behav Med. 2015;3(1):217–35.
    1. Funck‐Brentano I, Assoumou L, Veber F, Moshous D, Frange P, Blanche S. Resilience and life expectations of perinatally HIV‐1 infected adolescents in France. Open AIDS J. 2016;10:209–24.
    1. Harrison S, Li X. Toward an enhanced understanding of resilience for youth HIV populations. AIDS Care. 2018;30(SUP4):1–4.
    1. Laughton B, Cornell M, Boivin M, Van Rie A. Neurodevelopment in perinatally HIV‐infected children: a concern for adolescence. J Int AIDS Soc. 2013;16(1):18603.
    1. Smith R, Wilkins M. Perinatally acquired HIV infection: long‐term neuropsychological consequences and challenges ahead. Child Neuropsychol. 2015;21(2):234–68.
    1. Slogrove AL. It is a question of equity: time to talk about children who are HIV‐exposed and “HIV‐free.” J Int AIDS Soc. 2021;24(11):e25850.
    1. Smith R, Chernoff M, Williams PL, Malee KM, Sirois PA, Kammerer B, et al. Impact of HIV severity on cognitive and adaptive functioning during childhood and adolescence. Pediatr Infect Dis J. 2012;31(6):592–8.
    1. Garvie PA, Zeldow B, Malee K, Nichols SL, Smith RA, Wilkins ML, et al. Discordance of cognitive and academic achievement outcomes in youth with perinatal HIV exposure. Pediatr Infect Dis J. 2014;33(9):e232–8.
    1. Nozyce ML, Huo Y, Williams PL, Kapetanovic S, Hazra R, Nichols S, et al. Safety of in utero and neonatal antiretroviral exposure: cognitive and academic outcomes in HIV‐exposed, uninfected children 5–13 years of age. Pediatr Infect Dis J. 2014;33(11):1128–33.
    1. Rice ML, Buchanan AL, Siberry GK, Malee KM, Zeldow B, Frederick T, et al. Language impairment in children perinatally infected with HIV compared to children who were HIV‐exposed and uninfected. J Dev Behav Pediatr. 2012;33(2):112–23.
    1. Redmond SM, Yao T‐J, Russell JS, Rice ML, Hoffman HJ, Siberry GK, et al. Longitudinal evaluation of language impairment in youth with perinatally acquired human immunodeficiency virus (HIV) and youth with perinatal HIV exposure. J Pediatr Infect Dis Soc. 2016;5(suppl 1):S33–40.
    1. Nichols SL, Chernoff MC, Malee K, Sirois PA, Williams PL, Figueroa V, et al. Learning and memory in children and adolescents with perinatal HIV infection and perinatal HIV exposure. Pediatr Infect Dis J. 2016;35(6):649–54.
    1. Nichols SL, Chernoff MC, Malee KM, Sirois PA, Woods SP, Williams PL, et al. Executive functioning in children and adolescents with perinatal HIV infection and perinatal HIV exposure. J Pediatr Infect Dis Soc. 2016;5(suppl 1):S15–23.
    1. Sirois PA, Chernoff MC, Malee KM, Garvie PA, Harris LL, Williams PL, et al. Associations of memory and executive functioning with academic and adaptive functioning among youth with perinatal HIV exposure and/or infection. J Pediatr Infect Dis Soc. 2016;5(suppl 1):S24–32.
    1. Malee KM, Chernoff MC, Sirois PA, Williams PL, Garvie PA, Kammerer BL, et al. Impact of perinatally acquired HIV disease upon longitudinal changes in memory and executive functioning. J Acquir Immune Defic Syndr. 2017;75(4):455–64.
    1. Malee KM, Tassiopoulos K, Huo Y, Siberry G, Williams PL, Hazra R, et al. Mental health functioning among children and adolescents with perinatal HIV infection and perinatal HIV exposure. AIDS Care. 2011;23(12):1533–44.
    1. Mellins CA, Tassiopoulos K, Malee K, Moscicki AB, Patton D, Smith R, et al. Behavioral health risks in perinatally HIV‐exposed youth: co‐occurrence of sexual and drug use behavior, mental health problems, and nonadherence to antiretroviral treatment. AIDS Patient Care STDS. 2011;25(7):413–22.
    1. Smith R, Huo Y, Tassiopoulos K, Rutstein R, Kapetanovic S, Mellins C, et al. Mental health diagnoses, symptoms, and service utilization in US youth with perinatal HIV infection or HIV exposure. AIDS Patient Care STDS. 2019;33(1):1–13.
    1. Metzler M, Merrick MT, Klevens J, Ports KA, Ford DC. Adverse childhood experiences and life opportunities: shifting the narrative. Child Youth Serv Rev. 2017;72:141–49.
    1. Brown DW, Anda RF, Tiemeier H, Felitti VJ, Edwards VJ, Croft JB, et al. Adverse childhood experiences and the risk of premature mortality. Am J Prev Med. 2009;37(5):389–96.
    1. Hughes K, Bellis MA, Hardcastle KA, Sethi D, Butchart A, Mikton C, et al. The effect of multiple adverse childhood experiences on health: a systematic review and meta‐analysis. Lancet Public Health. 2017;2(8):e356–66.
    1. Meeker EC, O'Connor BC, Kelly LM, Hodgeman DD, Scheel‐Jones AH, Berbary C. The impact of adverse childhood experiences on adolescent health risk indicators in a community sample. Psychol Trauma. 2021;13(3):302–12.
    1. Balistreri KS, Alvira‐Hammond M. Adverse childhood experiences, family functioning and adolescent health and emotional well‐being. Public Health. 2016;132:72–8.
    1. Trent M, Dooley DG, Dougé J, SECTION ON ADOLESCENT HEALTH; COUNCIL ON COMMUNITY PEDIATRICS; COMMITTEE ON ADOLESCENCE . The impact of racism on child and adolescent health. Pediatrics. 2019;144(2):e20191765.
    1. Bradley RH, Corwyn RF. Socioeconomic status and child development. Annu Rev Psychol. 2002;53:371–99.
    1. Kalil A. Effects of the Great Recession on child development. Ann Am Acad Pol Soc Sci. 2013;650(1):232–50.
    1. Noble KG, Houston SM, Brito NH, Bartsch H, Kan E, Kuperman JM, et al. Family income, parental education and brain structure in children and adolescents. Nat Neurosci. 2015;18(5):773–8.
    1. Duncan GJ, Magnuson K, Votruba‐Drzal E. Moving beyond correlations in assessing the consequences of poverty. Annu Rev Psychol. 2017;68:413–34.
    1. Rutter M. Protective factors in children's responses to stress and disadvantage. Ann Acad Med Singap. 1979;8(3):324–38.
    1. Wechsler D. Wechsler Intelligence Scale for Children—Fourth Edition. San Antonio, TX: Harcourt Assessment Inc.; 2003.
    1. Wechsler D. Wechsler Adult Intelligence Scale—Fourth Edition. San Antonio, TX: Pearson; 2008.
    1. Gioia GA, Isquith PK, Guy SC, Kenworthy L. Behavior Rating Inventory of Executive Function. Lutz, FL: Psychological Assessment Resources Inc.; 2000.
    1. Reynolds CR, Kamphaus RW. Behavior Assessment System for Children, Second Edition. Circle Pines, MN: AGS Publishing; 2004.
    1. Sarason IG, Johnson JH, Siegel JM. Assessing the impact of life changes: development of the life experiences survey. J Consult Clin Psychol. 1978;46(5):932–46.
    1. Centers for Disease Control and Prevention . 1994 revised classification system for human immunodeficiency virus infection in children less than 13 years of age. MMWR. 1994;43(RR‐12):1–10.
    1. Aidala A, Havens J, Mellins CA, Dodds S, Whetten K, Martin D, et al. Development and validation of the Client Diagnostic Questionnaire (CDQ): a mental health screening tool for use in HIV/AIDS service settings. Psychol Health Med. 2004;9(3):362–79.
    1. Kroenke K, Spitzer RL, Williams JB. The PHQ‐9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–13.
    1. Andresen EM, Malmgren JA, Carter WB, Patrick DL. Screening for depression in well older adults: evaluation of a short form of the CES‐D (Center for Epidemiologic Studies Depression Scale). Am J Prev Med. 1994;10(2):77–84.
    1. U.S. Department of Education, Institute of Education Sciences, National Center for Education Statistics . Educational attainment of young adults—May 2020. [Cited 2022 January 16] Available at: .
    1. Villarroel MA, Terlizzi EP. Symptoms of depression among adults: United States, 2019. NCHS Data Brief, no 379. Hyattsville, MD: National Center for Health Statistics; 2020.
    1. Vuppula S, Tyungu D, Kaul A, Chandwani S, Rigaud M, Borkowsky W. Thirty‐year perspective of the long‐term survival, CD4 percentage and social achievements of perinatally HIV‐infected children as a function of their birth era. Pediatr Infect Dis J. 2017;36(2):198–201.
    1. Abrams EJ, Mellins CA, Bucek A, Dolezal C, Raymond J, Wiznia A, et al. Behavioral health and adult milestones in young adults with perinatal HIV infection or exposure. Pediatrics. 2018;142(3):e20180938.
    1. Collins LF, Armstrong WS. What it means to age with HIV infection: years gained are not comorbidity free. JAMA Netw Open. 2020;3(6):e208023.
    1. Patel K, Wang J, Jacobson DL, Lipshultz SE, Landy DC, Geffner ME, et al. Aggregate risk of cardiovascular disease among adolescents perinatally infected with the human immunodeficiency virus. Circulation. 2014;129(11):1204–12.

Source: PubMed

3
Subscribe