4.7 Article

Maternal depression and child telomere length: The role of genetic sensitivity

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JOURNAL OF AFFECTIVE DISORDERS
卷 334, 期 -, 页码 77-82

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ELSEVIER
DOI: 10.1016/j.jad.2023.04.103

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Maternal depression; Allostatic load; Telomere; Genetic sensitivity

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The stress of a mother's depression may increase children's allostatic load and cause adverse child outcomes. However, in middle childhood, maternal depression does not significantly affect children's telomere length, and this effect is not moderated by the DRD2 gene.
Background: The stress of a mother's depression may increasingly tax psychobiological systems that help children with self-regulation, increasing children's allostatic load over time. Some evidence supports children exposed to maternal depression tend to have shorter telomeres and tend to have more somatic and psychological problems. Children having one or more A1 alleles of dopamine receptor 2 (DRD2, rs1800497), tend to have greater sensitivity to maternal depression and could experience more adverse child outcomes that contribute to greater allostatic load. Methods: Using the Future Families and Child Wellbeing dataset, secondary-data analyses were used to test the effect of repeated exposure to maternal depression during early childhood on children's telomere length during middle childhood moderated by children's DRD2 genotype (N = 2884). Results: Greater maternal depression was not significantly associated with shorter child telomere length and this association was not moderated by DRD2 genotypes while controlling for factors associated with child telomere length. Implications: The effect of maternal depression on children's TL may not be significant in populations from diverse racial-ethnic and family backgrounds during middle childhood. These findings could help further our current understanding psychobiological systems affected by maternal depression that result in adverse child outcomes. Limitations: Even though this study used a relatively large and diverse sample, replication of DRD2 moderation in even larger samples is an important next step.

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