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Sex differences in childhood maltreatment, inflammation, and adulthood depression: A network analysis
BACKGROUND: Efforts to improve treatment for adults with major depression (MD) and childhood maltreatment (CM) have identified inflammation as a potential target to improve health. Network models have emerged as a new way to understand the relationship between depressive symptoms and inflammation. H...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10017358/ https://www.ncbi.nlm.nih.gov/pubmed/36937648 http://dx.doi.org/10.1016/j.bbih.2023.100611 |
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author | O'Shields, Jay D. Graves, Brian D. Mowbray, Orion P. |
author_facet | O'Shields, Jay D. Graves, Brian D. Mowbray, Orion P. |
author_sort | O'Shields, Jay D. |
collection | PubMed |
description | BACKGROUND: Efforts to improve treatment for adults with major depression (MD) and childhood maltreatment (CM) have identified inflammation as a potential target to improve health. Network models have emerged as a new way to understand the relationship between depressive symptoms and inflammation. However, none have accounted for the role of childhood maltreatment in the link between depressive symptoms and inflammation, or sex differences commonly found in these constructs. METHODS: Data from two waves of the Midlife Development in the United States study were used in this study (N = 1917). The Center for Epidemiological Studies Depression (CES-D) scale and Childhood Trauma Questionnaire, and six inflammation markers served as nodes in an undirected psychometric network analysis. Edges between nodes were calculated using partial Spearman's correlation. Separate networks were modeled for males and females. RESULTS: The total network revealed several associations between nodes of CM, MD, and inflammation, with emotional abuse having a strong association with somatic complaints. Network comparison testing revealed male-female network invariance, with several edge differences between male and female networks. Males and females showed differences in associations across inflammatory markers and depressive symptom clusters, particularly among somatic complaints and interpersonal difficulties. CONCLUSIONS: Specific associations between dimensions of inflammation, CM, and MD may represent important targets for treatment. Network models disaggregated by sex showed that males and females may have fundamentally different associations between these constructs, suggesting that future studies should consider sex-specific interventions. |
format | Online Article Text |
id | pubmed-10017358 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-100173582023-03-17 Sex differences in childhood maltreatment, inflammation, and adulthood depression: A network analysis O'Shields, Jay D. Graves, Brian D. Mowbray, Orion P. Brain Behav Immun Health Full Length Article BACKGROUND: Efforts to improve treatment for adults with major depression (MD) and childhood maltreatment (CM) have identified inflammation as a potential target to improve health. Network models have emerged as a new way to understand the relationship between depressive symptoms and inflammation. However, none have accounted for the role of childhood maltreatment in the link between depressive symptoms and inflammation, or sex differences commonly found in these constructs. METHODS: Data from two waves of the Midlife Development in the United States study were used in this study (N = 1917). The Center for Epidemiological Studies Depression (CES-D) scale and Childhood Trauma Questionnaire, and six inflammation markers served as nodes in an undirected psychometric network analysis. Edges between nodes were calculated using partial Spearman's correlation. Separate networks were modeled for males and females. RESULTS: The total network revealed several associations between nodes of CM, MD, and inflammation, with emotional abuse having a strong association with somatic complaints. Network comparison testing revealed male-female network invariance, with several edge differences between male and female networks. Males and females showed differences in associations across inflammatory markers and depressive symptom clusters, particularly among somatic complaints and interpersonal difficulties. CONCLUSIONS: Specific associations between dimensions of inflammation, CM, and MD may represent important targets for treatment. Network models disaggregated by sex showed that males and females may have fundamentally different associations between these constructs, suggesting that future studies should consider sex-specific interventions. Elsevier 2023-03-01 /pmc/articles/PMC10017358/ /pubmed/36937648 http://dx.doi.org/10.1016/j.bbih.2023.100611 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Full Length Article O'Shields, Jay D. Graves, Brian D. Mowbray, Orion P. Sex differences in childhood maltreatment, inflammation, and adulthood depression: A network analysis |
title | Sex differences in childhood maltreatment, inflammation, and adulthood depression: A network analysis |
title_full | Sex differences in childhood maltreatment, inflammation, and adulthood depression: A network analysis |
title_fullStr | Sex differences in childhood maltreatment, inflammation, and adulthood depression: A network analysis |
title_full_unstemmed | Sex differences in childhood maltreatment, inflammation, and adulthood depression: A network analysis |
title_short | Sex differences in childhood maltreatment, inflammation, and adulthood depression: A network analysis |
title_sort | sex differences in childhood maltreatment, inflammation, and adulthood depression: a network analysis |
topic | Full Length Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10017358/ https://www.ncbi.nlm.nih.gov/pubmed/36937648 http://dx.doi.org/10.1016/j.bbih.2023.100611 |
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