A marginal structural model analysis for the effect modification by education on the association between cancer diagnosis history and major depressive symptoms: Findings from Midlife Development in the U.S. (MIDUS).


Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
15 11 2023
Historique:
received: 07 06 2023
revised: 23 08 2023
accepted: 24 08 2023
medline: 22 9 2023
pubmed: 29 8 2023
entrez: 28 8 2023
Statut: ppublish

Résumé

Limited research has employed a longitudinal approach to investigate the role of education level as an effect modifier on the relationship between cancer diagnosis history and the experience of major depressive disorder (MDD) with a nationally representative sample. We harnessed data from three installments of the MIDUS Longitudinal study (n = 7108). A Marginal Structural Model facilitated the investigation of associations between a history of cancer diagnosis, MDD, and potential modifying effects of education level. Inverse probability weighting helped manage confounding factors. Findings indicated that a cancer diagnosis made one year prior was linked with 3.741 times greater odds of experiencing MDD (95 % CI: 1.411-9.918, p < 0.01). This connection was absent for diagnoses made two years earlier. Among individuals with education up to high school, a recent cancer diagnosis significantly increased the likelihood of MDD in the subsequent wave by 3.45 times (95 % CI: 1.31-9.08, p < 0.05). This pattern was not apparent among better-educated individuals. As the exposure variable was dependent on self-reported questionnaires, recall bias could be a potential limitation. Moreover, unaccounted variables like genetic factors could introduce confounding. A recent cancer diagnosis, particularly among less educated individuals, correlated with an increased probability of MDD, while the impact was not observed for older diagnoses. These findings emphasize that the timing of a cancer diagnosis and education level need consideration in the mental health assessment of cancer survivors.

Sections du résumé

BACKGROUND
Limited research has employed a longitudinal approach to investigate the role of education level as an effect modifier on the relationship between cancer diagnosis history and the experience of major depressive disorder (MDD) with a nationally representative sample.
METHODS
We harnessed data from three installments of the MIDUS Longitudinal study (n = 7108). A Marginal Structural Model facilitated the investigation of associations between a history of cancer diagnosis, MDD, and potential modifying effects of education level. Inverse probability weighting helped manage confounding factors.
RESULTS
Findings indicated that a cancer diagnosis made one year prior was linked with 3.741 times greater odds of experiencing MDD (95 % CI: 1.411-9.918, p < 0.01). This connection was absent for diagnoses made two years earlier. Among individuals with education up to high school, a recent cancer diagnosis significantly increased the likelihood of MDD in the subsequent wave by 3.45 times (95 % CI: 1.31-9.08, p < 0.05). This pattern was not apparent among better-educated individuals.
LIMITATIONS
As the exposure variable was dependent on self-reported questionnaires, recall bias could be a potential limitation. Moreover, unaccounted variables like genetic factors could introduce confounding.
CONCLUSIONS
A recent cancer diagnosis, particularly among less educated individuals, correlated with an increased probability of MDD, while the impact was not observed for older diagnoses. These findings emphasize that the timing of a cancer diagnosis and education level need consideration in the mental health assessment of cancer survivors.

Identifiants

pubmed: 37640112
pii: S0165-0327(23)01102-3
doi: 10.1016/j.jad.2023.08.123
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

202-210

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare no competing interests.

Auteurs

Lumin Liu (L)

LongHua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China.

Junjie Lu (J)

Department of Social and Behavioral Sciences, Harvard University T.H. Chan School of Public Health, Boston, USA. Electronic address: junjielu@hsph.harvard.edu.

Jiarui Yang (J)

Department of Biomedical Engineering, Boston University, Boston, USA. Electronic address: jryang@bu.edu.

Yiyue Dong (Y)

LongHua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China.

Ping Yin (P)

LongHua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China. Electronic address: bingxue616@163.com.

Yuelai Chen (Y)

LongHua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China. Electronic address: chenyuelai@163.com.

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