The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Association of Interleukin‐6 and Other Biologic Variables with Depression in Older People Living in the Community
Abstract
OBJECTIVES: The prevalence of depression increases with age, as does the prevalence of higher levels of the cytokine interleukin‐6 (IL‐6). This analysis was performed to determine the association between increased levels of this cytokine and depression in a population‐based sample. DESIGN: Cross‐sectional cohort study. SETTING: Rural and urban counties in North Carolina. PARTICIPANTS: Community‐dwelling older people. MEASUREMENTS: The association between IL‐6 and other biologic variables with self‐report depression was examined in 1686 persons aged 70 years and older in the third in‐person survey wave (1991) of the Duke Established Population for Epidemiologic Studies of the Elderly (EPESE). Bivariate associations were established by the Spearman correlation, adjusted for age. A stepwise linear logistic regression model was used to derive a final model to assess multivariable effects on CES‐D scores. RESULTS: Depression was correlated with IL‐6 ( P = .011), D‐Dimer ( P = .017), alpha‐l‐globulin ( P = .023), alphas‐2‐globulin ( P = .002), and beta globulin ( P = .012). After controlling for age, race, and gender, IL‐6 levels remained the only biologic variable significantly associated with depression ( P = .035). CONCLUSION: These data suggest that the inflammatory marker, IL‐6, is associated with depression in older people in this cross‐sectional study. These results are compatible with the hypothesis of cytokine (IL‐6) stimulation in geriatric depression as part of an overall immunoendocrine dysregulation.
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“Production of IL-6 and other proinflammatory cytokines can be directly stimulated by depression and other negative emotions and stressful experiences (16-20).”
From Chronic stress and age-related increases in the proinflammatory cytokine IL-6. (2003) · cites this paper as [16]
Citations
Cites
The CES-D Scale: A Self-Report Depression Scale for Research in the General Population
Radloff, L. S. (1977) · Applied Psychological Measurement · doi:10.1177/014662167700100306 · Cited by 53,267
Pfeiffer, E. A. (1975) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1975.tb00927.x · Cited by 5,320
Statistical Methods for Meta-Analysis.
Freeman, P. R., Hedges, L. V., & Olkin, I. (1986) · Biometrics · doi:10.2307/2531069 · Cited by 4,840
Evidence for an immune response in major depression: A review and hypothesis
Maes, M. (1995) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/0278-5846(94)00101-m · Cited by 1,003
The Association of Age and Depression Among the Elderly: An Epidemiologic Exploration
Blazer, D. G., Burchett, B. M., Service, C., & George, L. K. (1991) · Journal of Gerontology · doi:10.1093/geronj/46.6.m210 · Cited by 688
Self-citationLang, C. H., Dobrescu, C., & Bagby, G. J. (1992) · Endocrinology · doi:10.1210/endo.130.1.1727716 · Cited by 535
The Association of Plasma IL-6 Levels With Functional Disability in Community-Dwelling Elderly
Cohen, H. J., Pieper, C. F., Harris, T., Rao, K. M. K., & Currie, M. S. (1997) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/52a.4.m201 · Cited by 476
Self-citationInterleukin‐6: A Cytokine for Gerontolgists
Ershler, W. B. (1993) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1993.tb02054.x · Cited by 475
Maes, M. H. J., Scharpé, S., Meltzer, H. Y., Bosmans, E., Suy, E., Calabrese, J. R., & Cosyns, P. R. (1993) · Psychiatry Research · doi:10.1016/0165-1781(93)90027-e · Cited by 441
Naitoh, Y., Fukata, J., Tominaga, T., Nakai, Y., Tamai, S., Mori, K., & Imura, H. (1988) · Biochemical and Biophysical Research Communications · doi:10.1016/s0006-291x(88)81305-6 · Cited by 421
Research works printed but not linked: 9
- Blazer DG, 1981, Depression in Late Life
- Grunfeld C, 1990, Tumor necrosis factor: Immunologic, antitumor, metabolic and cardiovascular activities (rev), Adv Intern Med, 35, 45
- Cornoni‐Huntley J, 1990, Established Populations for Epidemiologic Studies of the Elderly, Vol. II: Resource Data Book
- Williams TF, 1990, Established Populations for Epidemiologic Studies of the Elderly, Vol. II: Resource Data Book
- Cornoni‐Huntley J, 1990, Established Populations for Epidemiologic Studies of the Elderly, Vol. II: Resource Data Book
- Cornoni‐Huntley J, 1990, Established Populations for Epidemiologic Studies of the Elderly, Vol. II: Resource Data Book
- SAS Institute, 1990, SAS/STAT User's Guide
- Dentino AN, 1996, A positive feedback model of immune‐endocrine dysregulation in major depression: Cytokines, the HPA axis and aging, Proc Am Assoc Geriatr Psychiatry, 43
- 1994, Diagnostic and Statistical Manual, 193
Cited by
Sorted by citations
A Meta-Analysis of Cytokines in Major Depression
Dowlati, Y., Herrmann, N., Swardfager, W., Liu, H., Sham, L., Reim, E. K., & Lanctôt, K. L. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.09.033 · Cited by 4,729
Hasin, D. S., Goodwin, R. D., Stinson, F. S., & Grant, B. F. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.10.1097 · Cited by 1,645
Chronic stress and age-related increases in the proinflammatory cytokine IL-6.
Kiecolt-Glaser, J. K., Preacher, K. J., MacCallum, R. C., Atkinson, C., Malarkey, W. B., & Glaser, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1531903100 · Cited by 1,267
Emotions, morbidity, and mortality: new perspectives from psychoneuroimmunology.
Kiecolt-Glaser, J. K., McGuire, L., Robles, T. F., & Glaser, R. (2002) · Annual Review of Psychology · doi:10.1146/annurev.psych.53.100901.135217 · Cited by 1,176
Depression as a risk factor for the onset of type 2 diabetes mellitus. A meta-analysis
Knol, M. J., Twisk, J. W. R., Beekman, A. T. F., Heine, R. J., Snoek, F. J., & Pouwer, F. (2006) · Diabetologia · doi:10.1007/s00125-006-0159-x · Cited by 974
Metadata
- Authors
- Dentino, A. N., Pieper, C. F., Rao, K. M. K., Currie, M. S., Harris, T., Blazer, D. G., & Cohen, H. J.
- Affiliations
- Duke University (US)
- National Institutes of Health (US)
- Corresponding author
- Cohen, Harvey Jay
- Venue
- Journal of the American Geriatrics Society
- Publisher
- Wiley
- Published
- 1999-01
- Volume
- 47
- Issue
- 1
- Pages
- 6-11
- ISSN
- 0002-8614 (ISSN-L)
- 1532-5415
- OpenAlex
- W2010664010
- Cited by
- 287
- References
- 36
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 2 · 2022: 7 · 2021: 3 · 2020: 9 · 2019: 7 · 2018: 4 · 2017: 7 · 2016: 7 · 2015: 10 · 2014: 12 · 2013: 16 · 2012: 14
- FWCI
- 4.17
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the American Geriatrics Society (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Aging (5P60-AG11268, N01‐AG12102, P60AG011268)
- Topics
- Life Sciences › Neuroscience › Biological Psychiatry › Tryptophan and brain disorders
- Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
- Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
- Keywords
- interleukin-6, depression, older adults, community-dwelling older adults, cytokines, inflammation, D-dimer, serum globulin, geriatric depression
- MeSH terms
- Aged, Alpha-Globulins, Analysis of Variance, Beta-Globulins, Cross-Sectional Studies, Depression, Female, Fibrin Fibrinogen Degradation Products, Follow-Up Studies, Health Surveys, Humans, Male, North Carolina, Biomarkers, Interleukin-6, Prevalence, Linear Models, Age Distribution, Statistics, Nonparametric
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