A meta-analysis of depressive symptomatology and alcohol consumption over time

Meta‐analysis (eight general population longitudinal studies) describes the relationships (regressions) between quantity per occasion and depressive symptomatology over time. Quantity and depression are the strongest and most consistent predictors of final levels of themselves in all data sets. Age...

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Bibliographic Details
Published in:British Journal of Addiction 1991-10, Vol.86 (10), p.1283-1298
Main Authors: HARTKA, ELIZABETH, JOHNSTONE, BRYAN, LEINO, E. VICTOR, MOTOYOSHI, MICHELLE, TEMPLE, MARK T., FILLMORE, KAYE MIDDLETON
Format: Article
Language:English
Subjects:
Adult
Age Differences
Alcohol
Alcohol Drinking - adverse effects
Alcohol Drinking - epidemiology
Alcohol Use
Alcoholism - complications
Alcoholism - epidemiology
Biological and medical sciences
Cross-Cultural Comparison
Cross-Sectional Studies
Crosscultural Analysis
Depression (Psychology)
Depression - epidemiology
Depression - etiology
Female
Humans
Incidence
Longitudinal Studies
Male
Medical sciences
Meta-Analysis as Topic
Metasociology
Methodology. Experimentation
Psychology. Psychoanalysis. Psychiatry
Psychopathology. Psychiatry
Sex Differences
Sex Factors
Techniques and methods
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Summary:Meta‐analysis (eight general population longitudinal studies) describes the relationships (regressions) between quantity per occasion and depressive symptomatology over time. Quantity and depression are the strongest and most consistent predictors of final levels of themselves in all data sets. Age significantly and consistently predicts quantity for both sexes combined (the general pattern is replicated among males only). Depression significantly predicts quantity and quantity significantly predicts depression for females. Controlling for interval between measurements produces stronger prediction (more consistent over shorter intervals) for males. Depression only predicts quantity over longer intervals and quantity only predicts depression over shorter intervals for females. Explicit control for age found stronger relationships between initial and final measurement quantity, and depression for males. Quantity and depression significantly predict quantity and depression among young females. The relationship between quantify and depression among females illustrates the importance of controlling for age and sex. Methodological considerations are discussed.
ISSN:0952-0481
0965-2140
2056-5178
DOI:10.1111/j.1360-0443.1991.tb01704.x