Prevalence and early-life predictors of adverse childhood experiences: Longitudinal insights from a low-income country.

Rachel Kidman, Etienne Breton, Jere Behrman, Yang Tingting Rui, Hans-Peter Kohler
Author Information
  1. Rachel Kidman: Program in Public Health and Department of Family, Population and Preventive Medicine, Stony Brook University (State University of New York), Stony Brook, NY 11794, United States of America. Electronic address: rachel.kidman@stonybrookmedicine.edu.
  2. Etienne Breton: Population Aging Research Center, University of Pennsylvania, Philadelphia, PA 19104-6298, United States of America. Electronic address: ebreton@sas.upenn.edu.
  3. Jere Behrman: Population Aging Research Center, University of Pennsylvania, Philadelphia, PA 19104-6298, United States of America; Department of Economics, University of Pennsylvania, Philadelphia, PA 19104-6298, United States of America; Department of Sociology, University of Pennsylvania, Philadelphia, PA 19104-6298, United States of America. Electronic address: jbehrman@sas.upenn.edu.
  4. Yang Tingting Rui: Population Aging Research Center, University of Pennsylvania, Philadelphia, PA 19104-6298, United States of America.
  5. Hans-Peter Kohler: Population Aging Research Center, University of Pennsylvania, Philadelphia, PA 19104-6298, United States of America; Department of Sociology, University of Pennsylvania, Philadelphia, PA 19104-6298, United States of America. Electronic address: hpkohler@pop.upenn.edu.

Abstract

BACKGROUND: A sizeable literature shows that adverse childhood experiences (ACEs) are associated with poor health outcomes in later life. However, most studies on the prevalence and predictors of ACEs have been carried out in high-income countries using cross-sectional approaches.
OBJECTIVE: The present study explores the prevalence and predictors of ACEs in Malawi, a low-income country, using prospective longitudinal data collected on adolescents.
PARTICIPANTS: We use data on 1375 adolescents and their biological mothers from the Malawi Longitudinal Study of Families and Health (MLSFH). ACEs were reported by adolescents over two survey waves, in 2017-18 and 2021. Predictors were reported by mothers in 2008 and 2010.
METHODS: Multivariate ordinary least square and logistic regression analyses of ACEs exposure reported by adolescents on indicators of family arrangements and resources.
RESULTS: Adolescents report having been exposed to nearly seven ACEs on average. Among indicators of family arrangements and resources, the only significant predictors of cumulative ACEs exposure are polygyny (linked to parental absence) and mother's SF-12 mental health score (linked to physical abuse and witnessing domestic violence).
CONCLUSIONS: ACEs are much more prevalent in the low-income country under study than in middle- and high-income countries surveyed in prior research. Despite adversity being widespread, most indicators of family arrangements and resources highlighted in prior studies are not associated with adolescents' cumulative ACEs exposure in this context. Mothers' mental health in childhood nevertheless emerges as a significant predictor of adolescents' self-reported ACEs. These findings inform efforts aimed at preventing ACEs in high-adversity contexts.

Keywords

References

  1. Br Med Bull. 2012;101:57-79 [PMID: 22130907]
  2. J Am Assoc Nurse Pract. 2015 Aug;27(8):457-65 [PMID: 25755161]
  3. SSM Popul Health. 2022 Aug 23;19:101205 [PMID: 36091299]
  4. JAMA Psychiatry. 2019 Jun 1;76(6):584-593 [PMID: 30892562]
  5. Child Abuse Negl. 2019 Dec;98:104185 [PMID: 31557674]
  6. Lancet. 2014 Nov 15;384(9956):1800-19 [PMID: 25455250]
  7. Child Abuse Negl. 2016 Jan;51:21-30 [PMID: 26707919]
  8. Res Dev Disabil. 2013 Mar;34(3):1059-68 [PMID: 23306002]
  9. Ann N Y Acad Sci. 2008;1136:86-100 [PMID: 17954677]
  10. Subst Use Misuse. 2018 Jun 7;53(7):1212-1220 [PMID: 29185846]
  11. Am J Prev Med. 2022 Mar;62(3):427-432 [PMID: 34635382]
  12. Child Abuse Negl. 2019 Nov;97:104127 [PMID: 31454589]
  13. Child Abuse Negl. 2014 Apr;38(4):706-22 [PMID: 24075569]
  14. Child Abuse Negl. 2019 Jun;92:139-145 [PMID: 30974257]
  15. Health Qual Life Outcomes. 2020 Mar 18;18(1):78 [PMID: 32188461]
  16. Child Abuse Negl. 2006 May;30(5):497-522 [PMID: 16701895]
  17. Child Abuse Negl. 2022 Jun;128:105628 [PMID: 35413548]
  18. J Child Psychol Psychiatry. 2020 Mar;61(3):236-250 [PMID: 31762042]
  19. Rev Bras Epidemiol. 2022 Nov 14;25:e220035 [PMID: 36383845]
  20. J Epidemiol Community Health. 2016 Feb;70(2):168-73 [PMID: 26359503]
  21. Lancet Psychiatry. 2016 Oct;3(10):973-982 [PMID: 27650773]
  22. BMJ Open. 2024 May 8;14(5):e079631 [PMID: 38719291]
  23. BMC Public Health. 2020 Sep 10;20(1):1327 [PMID: 32907569]
  24. BMC Public Health. 2018 Oct 10;18(1):1164 [PMID: 30305071]
  25. Int J Epidemiol. 2015 Apr;44(2):394-404 [PMID: 24639448]
  26. Heliyon. 2019 Dec 12;5(12):e03003 [PMID: 31890957]
  27. Epidemiol Psychiatr Sci. 2020 Oct 19;29:e174 [PMID: 33070789]
  28. J Adolesc Health. 2014 Jan;54(1):88-93 [PMID: 24060574]
  29. BMJ Open. 2020 Oct 16;10(10):e038232 [PMID: 33067285]
  30. Med Sci Law. 2015 Oct;55(4):259-77 [PMID: 25107943]
  31. J Epidemiol Community Health. 2019 Dec;73(12):1087-1093 [PMID: 31563897]
  32. Child Abuse Negl. 1998 Nov;22(11):1065-78 [PMID: 9827312]
  33. Lancet Public Health. 2017 Aug;2(8):e356-e366 [PMID: 29253477]
  34. Psychoneuroendocrinology. 2022 Feb;136:105602 [PMID: 34861465]
  35. Psychol Med. 2016 Feb;46(3):543-9 [PMID: 26511669]

Grants

  1. P2C HD041023/NICHD NIH HHS
  2. R01 HD090988/NICHD NIH HHS

MeSH Term

Humans
Adverse Childhood Experiences
Adolescent
Malawi
Female
Male
Longitudinal Studies
Prevalence
Developing Countries
Child
Poverty
Mothers
Prospective Studies
Adult
Risk Factors
Child Abuse

Word Cloud

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