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Prospective Bidirectional Relations Between Depression and Metabolic Health: 30 Year Follow-up from the NHLBI CARDIA Study

OBJECTIVE: This study investigated prospective bidirectional relationships between depression and metabolic syndrome (MetS), and the moderating effects of race, sex, and health behaviors in a diverse cohort followed for 30 years. METHODS: Data were analyzed from the NHLBI CARDIA study, a 30 year-pro...

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Autores principales: Moorehead, Nicholas R., Goodie, Jeffrey L., Krantz, David S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029061/
https://www.ncbi.nlm.nih.gov/pubmed/36945452
http://dx.doi.org/10.1101/2023.03.08.23286983
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author Moorehead, Nicholas R.
Goodie, Jeffrey L.
Krantz, David S.
author_facet Moorehead, Nicholas R.
Goodie, Jeffrey L.
Krantz, David S.
author_sort Moorehead, Nicholas R.
collection PubMed
description OBJECTIVE: This study investigated prospective bidirectional relationships between depression and metabolic syndrome (MetS), and the moderating effects of race, sex, and health behaviors in a diverse cohort followed for 30 years. METHODS: Data were analyzed from the NHLBI CARDIA study, a 30 year-prospective study of young adults (N = 5113; M age = 24.76 (SD = 3.63) at baseline; 45% male) who were tested every 5 years between 1985–2015. Measures included biological assessments of MetS components, and self-reported depressive symptoms based on the Center for Epidemiologic Studies Depression (CESD) scale. Data analyses included bi-directional general estimating equations analyses of time-lagged associations between depressive symptoms and MetS. RESULTS: There was a consistent, bi-directional relationship between depressive symptoms and MetS over time. Individuals with more CESD depressive symptoms were more likely to develop MetS over time compared to those reporting fewer symptoms (Wald Chi-Square = 7.09 (1), p < 0.008), and MetS was similarly predictive of CESD. MetS more consistently predicted depressive symptoms at each 5-year exam than depressive symptoms predicted MetS. Race and sex moderated relationships between depression and MetS, with White females, White individuals overall, and females overall demonstrating significant relationships. Health behaviors were not related to depression-MetS associations. CONCLUSION: In a diverse young adult population prospectively followed into late middle age, MetS more consistently predicted depression over time than depression predicted MetS. The relation between MetS and depressive symptoms was moderated by race and sex, but not health behaviors.
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spelling pubmed-100290612023-03-22 Prospective Bidirectional Relations Between Depression and Metabolic Health: 30 Year Follow-up from the NHLBI CARDIA Study Moorehead, Nicholas R. Goodie, Jeffrey L. Krantz, David S. medRxiv Article OBJECTIVE: This study investigated prospective bidirectional relationships between depression and metabolic syndrome (MetS), and the moderating effects of race, sex, and health behaviors in a diverse cohort followed for 30 years. METHODS: Data were analyzed from the NHLBI CARDIA study, a 30 year-prospective study of young adults (N = 5113; M age = 24.76 (SD = 3.63) at baseline; 45% male) who were tested every 5 years between 1985–2015. Measures included biological assessments of MetS components, and self-reported depressive symptoms based on the Center for Epidemiologic Studies Depression (CESD) scale. Data analyses included bi-directional general estimating equations analyses of time-lagged associations between depressive symptoms and MetS. RESULTS: There was a consistent, bi-directional relationship between depressive symptoms and MetS over time. Individuals with more CESD depressive symptoms were more likely to develop MetS over time compared to those reporting fewer symptoms (Wald Chi-Square = 7.09 (1), p < 0.008), and MetS was similarly predictive of CESD. MetS more consistently predicted depressive symptoms at each 5-year exam than depressive symptoms predicted MetS. Race and sex moderated relationships between depression and MetS, with White females, White individuals overall, and females overall demonstrating significant relationships. Health behaviors were not related to depression-MetS associations. CONCLUSION: In a diverse young adult population prospectively followed into late middle age, MetS more consistently predicted depression over time than depression predicted MetS. The relation between MetS and depressive symptoms was moderated by race and sex, but not health behaviors. Cold Spring Harbor Laboratory 2023-03-10 /pmc/articles/PMC10029061/ /pubmed/36945452 http://dx.doi.org/10.1101/2023.03.08.23286983 Text en https://creativecommons.org/publicdomain/zero/1.0/This article is a US Government work. It is not subject to copyright under 17 USC 105 and is also made available for use under a CC0 license (https://creativecommons.org/publicdomain/zero/1.0/) .
spellingShingle Article
Moorehead, Nicholas R.
Goodie, Jeffrey L.
Krantz, David S.
Prospective Bidirectional Relations Between Depression and Metabolic Health: 30 Year Follow-up from the NHLBI CARDIA Study
title Prospective Bidirectional Relations Between Depression and Metabolic Health: 30 Year Follow-up from the NHLBI CARDIA Study
title_full Prospective Bidirectional Relations Between Depression and Metabolic Health: 30 Year Follow-up from the NHLBI CARDIA Study
title_fullStr Prospective Bidirectional Relations Between Depression and Metabolic Health: 30 Year Follow-up from the NHLBI CARDIA Study
title_full_unstemmed Prospective Bidirectional Relations Between Depression and Metabolic Health: 30 Year Follow-up from the NHLBI CARDIA Study
title_short Prospective Bidirectional Relations Between Depression and Metabolic Health: 30 Year Follow-up from the NHLBI CARDIA Study
title_sort prospective bidirectional relations between depression and metabolic health: 30 year follow-up from the nhlbi cardia study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029061/
https://www.ncbi.nlm.nih.gov/pubmed/36945452
http://dx.doi.org/10.1101/2023.03.08.23286983
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