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Depression in Youths with Early Life Adversity: a Systematic Review and Meta-analysis

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Specialty Psychiatry
Date 2024 Sep 27
PMID 39328345
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Abstract

Background: Globally, early-life adversity (ELA) is linked to an increased risk of developing depression in adulthood; however, only a few studies have examined the specific effects of various types of ELA on depression in children and adolescents. This meta-analysis explores the association between the subtypes of ELA and the risk for youth-onset depression.

Methods: We searched three electronic databases for reporting types of ELA, namely, emotional abuse, physical abuse, sexual abuse, emotional neglect, physical neglect, family conflict/violence, divorce, low socioeconomic status, and left-behind experience, associated with depression before the age of 18 years. Our meta-analysis utilized the odds ratio (OR) and relied on a random effects model. Large heterogeneous effects were detected. Some factors moderated the association between ELA and depression in youths. The homogeneity of variance test and meta-regression analysis were used to detect these relationships.

Results: A total of 87 studies with 213,006 participants were ultimately identified via several strategies in this meta-analysis. Individuals who experienced ELA were more likely to develop depression before the age of 18 years old than those without a history of ELA (OR=2.14; 95% CI [1.93, 2.37]). The results of the subgroup analysis revealed a strong association between ELA and depression in youth, both in terms of specific types and dimensions. Specifically, emotional abuse (OR = 4.25, 95% CI [3.04, 5.94]) was more strongly related to depression in children and adolescents than other forms of ELA were. For both dimensions, threat (OR = 2.60, 95% CI [2.23, 3.02]) was more closely related to depression than deprivation was (OR = 1.76, 95% CI [1.55, 1.99]).

Conclusion: This meta-analysis revealed that the adverse effects of a broader consideration of ELA on the risk of youth-onset depression vary according to the subtypes of ELA.

Systematic Review Registation: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023405803, identifier 42023405803.

References
1.
Guo J, Chen L, Wang X, Liu Y, Chui C, He H . The relationship between Internet addiction and depression among migrant children and left-behind children in China. Cyberpsychol Behav Soc Netw. 2012; 15(11):585-90. DOI: 10.1089/cyber.2012.0261. View

2.
Gilman S, Kawachi I, Fitzmaurice G, Buka L . Socio-economic status, family disruption and residential stability in childhood: relation to onset, recurrence and remission of major depression. Psychol Med. 2003; 33(8):1341-55. DOI: 10.1017/s0033291703008377. View

3.
Guessoum S, Lachal J, Radjack R, Carretier E, Minassian S, Benoit L . Adolescent psychiatric disorders during the COVID-19 pandemic and lockdown. Psychiatry Res. 2020; 291:113264. PMC: 7323662. DOI: 10.1016/j.psychres.2020.113264. View

4.
Brown J, Cohen P, Johnson J, Smailes E . Childhood abuse and neglect: specificity of effects on adolescent and young adult depression and suicidality. J Am Acad Child Adolesc Psychiatry. 1999; 38(12):1490-6. DOI: 10.1097/00004583-199912000-00009. View

5.
Spinhoven P, Elzinga B, van Hemert A, de Rooij M, Penninx B . Childhood maltreatment, maladaptive personality types and level and course of psychological distress: A six-year longitudinal study. J Affect Disord. 2015; 191:100-8. DOI: 10.1016/j.jad.2015.11.036. View