The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Prospective associations between marital discord and depressive symptoms in middle-aged and older adults
Abstract
Data from both spouses in a population-based sample of middle-aged and older adults (N = 1,869 couples) were used to evaluate the 2-year prospective association between marital discord and depressive symptoms. Nested path analyses indicated that (a) baseline marital discord predicted one's own depressive symptoms at follow-up, (b) baseline depressive symptoms predicted one's own marital discord at follow-up, (c) baseline depressive symptoms predicted partners' marital discord at follow-up, and (d) there were no gender differences in the magnitudes of the pathways between one's own baseline depressive symptoms and one's own marital discord at follow-up or between one's own baseline marital discord and one's own depressive symptoms at follow-up. These results suggest a bidirectional longitudinal association between marital discord and depressive symptoms in middle-aged and older adults.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“It has long been known that marital dissatisfaction and discord are strongly related to depressive symptoms (e.g.,35, 36), with an average correlation between marital dissatisfaction and depressive symptoms of approximately r = .4 across studies and very similar patterns for men and women.37 Longitudinal studies show that the association is bidirectional,38, 39 but with a stronger time-lagged”
From The Costs of Depression (2012) · cites this paper as [38]
In the citing paper
“Meta-analytic evidence 209 indicates that the risk of suicidal behaviour in persons with depression is significantly associated with previous suicide attempt, severe depression, anxiety, hopelessness, family history of psychiatric disorder, comorbid substance abuse disorder, personality disorder, 210 and sleep disorders, particularly nightmares and insomnia. 211”
From Time for united action on depression: a Lancet–World Psychiatric Association Commission (2022) · cites this paper as [210]
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
(1998) · Cited by 36,049
Alternative Ways of Assessing Model Fit
Browne, M. W., & Cudeck, R. (1992) · Sociological Methods & Research · doi:10.1177/0049124192021002005 · Cited by 27,200
Testing Structural Equation Models.
Clogg, C. C., Bollen, K. A., & Long, J. S. (1995) · Social Forces · doi:10.2307/2580595 · Cited by 8,246
Taking time seriously: A theory of socioemotional selectivity.
Carstensen, L. L., Isaacowitz, D. M., & Charles, S. T. (1999) · American Psychologist · doi:10.1037//0003-066x.54.3.165 · Cited by 5,377
Depression in Late Life: Review and Commentary
Blazer, D. G. (2003) · The Journals of Gerontology Series A · doi:10.1093/gerona/58.3.m249 · Cited by 2,383
Toward an Interactional Description of Depression
Coyne, J. C. (1976) · Psychiatry · doi:10.1080/00332747.1976.11023874 · Cited by 1,506
Depression and the response of others.
Coyne, J. C. (1976) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.85.2.186 · Cited by 1,464
Models of Non-Independence in Dyadic Research
Kenny, D. A. (1996) · Journal of Social and Personal Relationships · doi:10.1177/0265407596132007 · Cited by 973
Walen, H. R., & Lachman, M. E. (2000) · Journal of Social and Personal Relationships · doi:10.1177/0265407500171001 · Cited by 941
Flagged first, then by citations
Cited by
Sorted by citations
The Epidemiology of Depression Across Cultures
Kessler, R. C., & Bromet, E. J. (2013) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-031912-114409 · Cited by 2,657
Time for united action on depression: a Lancet–World Psychiatric Association Commission
Herrman, H., Patel, V., Kieling, C., Berk, M., Buchweitz, C., Cuijpers, P., Furukawa, T. A., Kessler, R. C., Kohrt, B. A., Maj, M., et al. (2022) · The Lancet · doi:10.1016/s0140-6736(21)02141-3 · Cited by 1,104
Kessler, R. C. (2012) · Psychiatric Clinics of North America · doi:10.1016/j.psc.2011.11.005 · Cited by 871
Marx, W., Penninx, B. W. J. H., Solmi, M., Furukawa, T. A., Firth, J., Carvalho, A. F., & Berk, M. (2023) · Nature Reviews Disease Primers · doi:10.1038/s41572-023-00454-1 · Cited by 910
Lovesick: How Couples’ Relationships Influence Health
Kiecolt‐Glaser, J. K., & Wilson, S. J. (2017) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032816-045111 · Cited by 550
Metadata
- Authors
- Whisman, M. A., & Uebelacker, L. A.
- Affiliations
- University of Colorado Boulder (US)
- Brown University (US)
- Venue
- Psychology and Aging
- Published
- 2009
- Volume
- 24
- Issue
- 1
- Pages
- 184-189
- ISSN
- 0882-7974 (ISSN-L)
- 1939-1498
- OpenAlex
- W1987008817
- Cited by
- 260
- References
- 36
- Citations by year
- 2026: 7 · 2025: 10 · 2024: 12 · 2023: 17 · 2022: 14 · 2021: 27 · 2020: 17 · 2019: 17 · 2018: 15 · 2017: 22 · 2016: 10 · 2015: 17 · 2014: 22 · 2013: 15 · 2012: 15
- FWCI
- 16.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychology and Aging (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Attachment and Relationship Dynamics
- Social Sciences › Health › Health disparities and outcomes
- Social Sciences › Demography › Family Dynamics and Relationships
- Keywords
- marital conflict, depressive symptoms, middle-aged adults, older adults, couples, bidirectional relationship, marital relationships, gender differences
- MeSH terms
- Age Factors, Aged, Depressive Disorder, Female, Humans, Longitudinal Studies, Male, Middle Aged, Models, Psychological, Personality Inventory, Prospective Studies, Psychometrics, Sex Factors, Family Conflict
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review