Abstract

The dimensionality of coping, as measured by 65 items from 3 commonly used instruments, and the relation of coping and stress to concurrent and future depression were studied in a community sample of 742 older (greater than or equal to 50 years old) adults. Measures of coping, stress, and depression were obtained at 2 time points over a 2-year period. Depression was assessed by symptom checklist and by diagnostic interview. Three coping factors--Cognitive Self-Control, Ineffective Escapism, and Solace Seeking--that had adequate psychometric properties and accounted for 25% of the total item variance were identified. Ineffective Escapism was associated with current depression and had a direct and interactive effect on future depression, exacerbating the negative impact of stress rather than acting as a buffer. Although Cognitive Self-Control was unrelated to either concurrent or future depression, Solace Seeking significantly buffered the effect of stress in predicting a future diagnosis of depression. Stress and initial depression level predicted both measures of future depression. Gender (being female) predicted the future diagnosis of depression but not the increase of depressive symptoms.

Keywords

PsychologyCurse of dimensionalityCoping (psychology)Relation (database)Social psychologyClinical psychologyStatisticsData miningMathematics

MeSH Terms

AdaptationPsychologicalAgedAged80 and overDepressive DisorderFemaleHumansLongitudinal StudiesMaleMiddle AgedPersonality TestsProspective StudiesRisk Factors

Related Publications

Publication Info

Year
1990
Type
article
Volume
58
Issue
3
Pages
499-511
Citations
162
Access
Closed

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Social media, news, blog, policy document mentions

Citation Metrics

162
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147
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Cite This

Paul Rohde, Peter M. Lewinsohn, Mark Tilson et al. (1990). Dimensionality of coping and its relation to depression.. Journal of Personality and Social Psychology , 58 (3) , 499-511. https://doi.org/10.1037/0022-3514.58.3.499

Identifiers

DOI
10.1037/0022-3514.58.3.499
PMID
2324939

Data Quality

Data completeness: 81%