Association Between Depressive Symptoms and Insulin Resistance and the Impact of the Menopausal Transition.
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| Title: | Association Between Depressive Symptoms and Insulin Resistance and the Impact of the Menopausal Transition. |
|---|---|
| Authors: | Chen, Yuqing (AUTHOR), Brooks, Maria M. (AUTHOR), El Khoudary, Samar R. (AUTHOR), Thurston, Rebecca C. (AUTHOR), Colvin, Alicia B. (AUTHOR) |
| Source: | Journal of Women's Health (15409996). Jan2026, Vol. 35 Issue 2, p152-162. 11p. |
| Subjects: | Risk assessment, Research funding, Center for Epidemiologic Studies Depression Scale, Menopause, Descriptive statistics, Multivariate analysis, Age distribution, Insulin resistance, Longitudinal method, Race, Data analysis software, Confidence intervals, Mental depression, Disease risk factors |
| Abstract: | Context: Recent meta-analyses and cross-sectional studies propose that insulin resistance (IR) is not a lasting feature of depression. However, longitudinal evidence is lacking, particularly in midlife women across menopause and ethnically diverse cohorts. Objective: To assess the longitudinal association between depressive symptoms and IR among midlife women and determine if this association varies by menopausal status and ethnicity. Methods: The study population comprised 2,829 White, Black, Hispanic, Chinese, and Japanese women from the Study of Women's Health Across the Nation followed for approximately 20 years. Depressive symptoms were assessed with the Center for Epidemiologic Studies Depression (CES-D) scale, and IR was obtained from the Homeostatic Model Assessment for Insulin Resistance (HOMA-IR). Linear mixed-effects modeling was used to estimate the association between depressive symptoms (CES-D score ≥16, indicating risk for clinical depression) and HOMA-IR, adjusting for important confounders. Results: In multivariable analyses simultaneously including current depressive symptoms and depressive symptoms from the prior visit in the model, the estimated effect of current CES-D score ≥16, but not prior CES-D score ≥16, was statistically significantly associated with higher log-HOMA-IR levels (β = 0.03, 95% confidence interval [CI]: 0.01, 0.06). The relationship between current depressive symptoms and IR was strongest among Hispanic women (interaction p = 0.005; β = 0.18, 95% CI: 0.08, 0.27). Conclusion: Current reporting of CES-D score ≥16, but not prior reporting, was associated with elevated IR over time among midlife women. This study provides longitudinal evidence in support of IR as a temporary feature of depression. Moreover, the results suggest that Hispanic women with higher depressive symptoms may be particularly susceptible to IR. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Women's Health (15409996) is the property of Mary Ann Liebert, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 191331089 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Association Between Depressive Symptoms and Insulin Resistance and the Impact of the Menopausal Transition. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chen%2C+Yuqing%22">Chen, Yuqing</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Brooks%2C+Maria+M%2E%22">Brooks, Maria M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22El+Khoudary%2C+Samar+R%2E%22">El Khoudary, Samar R.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Thurston%2C+Rebecca+C%2E%22">Thurston, Rebecca C.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Colvin%2C+Alicia+B%2E%22">Colvin, Alicia B.</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Women's+Health+%2815409996%29%22">Journal of Women's Health (15409996)</searchLink>. Jan2026, Vol. 35 Issue 2, p152-162. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Center+for+Epidemiologic+Studies+Depression+Scale%22">Center for Epidemiologic Studies Depression Scale</searchLink><br /><searchLink fieldCode="DE" term="%22Menopause%22">Menopause</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Age+distribution%22">Age distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Insulin+resistance%22">Insulin resistance</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br /><searchLink fieldCode="DE" term="%22Race%22">Race</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+risk+factors%22">Disease risk factors</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Context: Recent meta-analyses and cross-sectional studies propose that insulin resistance (IR) is not a lasting feature of depression. However, longitudinal evidence is lacking, particularly in midlife women across menopause and ethnically diverse cohorts. Objective: To assess the longitudinal association between depressive symptoms and IR among midlife women and determine if this association varies by menopausal status and ethnicity. Methods: The study population comprised 2,829 White, Black, Hispanic, Chinese, and Japanese women from the Study of Women's Health Across the Nation followed for approximately 20 years. Depressive symptoms were assessed with the Center for Epidemiologic Studies Depression (CES-D) scale, and IR was obtained from the Homeostatic Model Assessment for Insulin Resistance (HOMA-IR). Linear mixed-effects modeling was used to estimate the association between depressive symptoms (CES-D score ≥16, indicating risk for clinical depression) and HOMA-IR, adjusting for important confounders. Results: In multivariable analyses simultaneously including current depressive symptoms and depressive symptoms from the prior visit in the model, the estimated effect of current CES-D score ≥16, but not prior CES-D score ≥16, was statistically significantly associated with higher log-HOMA-IR levels (β = 0.03, 95% confidence interval [CI]: 0.01, 0.06). The relationship between current depressive symptoms and IR was strongest among Hispanic women (interaction p = 0.005; β = 0.18, 95% CI: 0.08, 0.27). Conclusion: Current reporting of CES-D score ≥16, but not prior reporting, was associated with elevated IR over time among midlife women. This study provides longitudinal evidence in support of IR as a temporary feature of depression. Moreover, the results suggest that Hispanic women with higher depressive symptoms may be particularly susceptible to IR. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Women's Health (15409996) is the property of Mary Ann Liebert, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/15409996251379406 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 152 Subjects: – SubjectFull: Risk assessment Type: general – SubjectFull: Research funding Type: general – SubjectFull: Center for Epidemiologic Studies Depression Scale Type: general – SubjectFull: Menopause Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Multivariate analysis Type: general – SubjectFull: Age distribution Type: general – SubjectFull: Insulin resistance Type: general – SubjectFull: Longitudinal method Type: general – SubjectFull: Race Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Confidence intervals Type: general – SubjectFull: Mental depression Type: general – SubjectFull: Disease risk factors Type: general Titles: – TitleFull: Association Between Depressive Symptoms and Insulin Resistance and the Impact of the Menopausal Transition. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chen, Yuqing – PersonEntity: Name: NameFull: Brooks, Maria M. – PersonEntity: Name: NameFull: El Khoudary, Samar R. – PersonEntity: Name: NameFull: Thurston, Rebecca C. – PersonEntity: Name: NameFull: Colvin, Alicia B. IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 01 Text: Jan2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 15409996 Numbering: – Type: volume Value: 35 – Type: issue Value: 2 Titles: – TitleFull: Journal of Women's Health (15409996) Type: main |
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