Dataset Information

The Relationship of Lifestyle Factors with the Prevalence of Major Depressive Disorder by Ecological Factors.

ABSTRACT:

Objective

The association between ecological/lifestyle factors and major depressive disorder (MDD) have been provided but was inconsistent as characteristics of population including race, gender, etc.

Methods

Data were extracted from the Korean National Health and Nutrition Examination Survey and consisted of 35,839 adults including 1,537 with MDD. Ecological factors included age, sex, married status, education, family income, residence, occupation, BMI, self-recognition stress, and history of non-communicable disease. Smoking, drinking, regular exercise, total energy intake, and sleep was consisted for lifestyle factors. The relationship between MDD and ecological/lifestyle factors, was evaluated using the multiple logistic regression model after adjustment for covariates.

Results

The increased prevalence of MDD in men was related aged, unmarried, low educated, unoccupied, high BMI, and high self-recognition stress. To women, MDD prevalence was increased as aged, low educated and family income, resided in urban, unoccupied, high self-recognition stress and history of non-communicable disease. Current smoking/drinking and lack of sleep was positively related with prevalence of MDD in women. The relationship between lifestyle factors and MDD prevalence was influenced by ecological status, predominantly in women.

Conclusion

The relationship of lifestyle factors with MDD prevalence were observed and could be attenuated by various ecological factors, in women.

SUBMITTER: Kim YJ

PROVIDER: S-EPMC8103019 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature

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Publications

The Relationship of Lifestyle Factors with the Prevalence of Major Depressive Disorder by Ecological Factors.

Kim Yeon-Jin YJ Lee Sang-Ah SA

Psychiatry investigation 20210425 4

<h4>Objective</h4>The association between ecological/lifestyle factors and major depressive disorder (MDD) have been provided but was inconsistent as characteristics of population including race, gender, etc.<h4>Methods</h4>Data were extracted from the Korean National Health and Nutrition Examination Survey and consisted of 35,839 adults including 1,537 with MDD. Ecological factors included age, sex, married status, education, family income, residence, occupation, BMI, self-recognition stress, a ...[more]

PMID: 33951780

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Project description:Background: Major Depressive Disorder (MDD) is a moderately heritable disorder with a high lifetime prevalence. At present, laboratory blood tests to support MDD diagnosis are not available. Methods: We used a classifier approach on blood gene expression profiles of a unique set of non-medicated subjects (MDD patients and controls) to select genes of which expression is predictive for disease status. To reveal blood gene expression changes related to MDD disease, we applied a powerful ex vivo stimulus to the blood, i.e. incubation with lipopolysaccharide (LPS; 10 ng/ml blood). Results: Based on LPS-stimulated blood gene expression using whole-genome microarrays in 42 subjects (primary cohort; 21 MDD patients (mean age 42.3 years), 21 healthy controls (mean age 41.9 years)), we identified a set of genes (CAPRIN1, CLEC4A, KRT23, MLC1, PLSCR1, PROK2, ZBTB16) that serves as a molecular signature of MDD. These findings were validated for the primary cohort using an independent quantitative PCR method (P = 0.007). The difference between depressive patients and controls was confirmed (P = 0.019) in a replication cohort of 13 patients with MDD (mean age 42.8 years) and 14 controls (mean age 45.6 years). The MDD-signature score comprised of expression levels of 7 genes could discriminate depressive patients from controls with sensitivity of 76.9% and specificity of 71.8%. Conclusions: We show for the first time that molecular analysis of stimulated blood cells can be used as an endophenotype for MDD diagnosis, which is a milestone in establishing biomarkers for neuropsychiatric disorders with moderate heritability in general. Our results may provide a new entry point for following and predicting treatment outcome, as well as prediction of severity and recurrence of MDD. In total, 33 MDD patients and 34 healthy controls were analyzed using basal gene expression in whole blood, and gene expression from whole blood that was stimulated with LPS for 5-6 h, using microarrays. Patients were arbitrarily selected from all patients to serve as primary cohort (nMDD = 21 (MDD01-MDD21); nControls = 21 (Con01-Con21)), or replication cohort (nMDD = 12 (MDD22-MDD35); nControls = 13 (Con22-Con37)) using microarrays. This submission does not include Samples CON21_LPS or CON30_LPS.

Dataset Information

The Relationship of Lifestyle Factors with the Prevalence of Major Depressive Disorder by Ecological Factors.

Objective

Methods

Results

Conclusion

Publications

The Relationship of Lifestyle Factors with the Prevalence of Major Depressive Disorder by Ecological Factors.

Similar Datasets

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