The National College Health Assessment Survey (NCHA), sponsored by the American College Health Association, measured depression, suicidal ideation, and suicide attempts among 15,977 college students in the academic year 1999-2000. Similar to the National College Health Risk Behavior Survey, conducted by the Centers for Disease Control and Prevention in 1995, 9.5% of students reported that they had seriously considered attempting suicide and 1.5% of students reported that they had attempted suicide within the last school year. The NCHA findings show a relationship between suicidal behavior and depressed mood. Depressed mood, difficulties of sexual identity, and problematic relationships all increase the likelihood of vulnerability to suicidal behavior. Less than 20% of students reporting suicidal ideation or attempts were receiving treatment.
Meta-analysis is used to combine results of primary data from 12 longitudinal studies to examine the consistency of results with respect to the role of changes on the individual level in marital status and employment status on changes in consumption of alcohol per typical occasion. The analyses control for the effects of Time 1 consumption per occasion and education. Not getting married and becoming unmarried are associated with increased consumption at follow-up and both variables are positively related to increased consumption among older men, but only becoming unmarried was related to increased consumption among older women. Becoming married is homogeneously and negatively associated with consumption at follow-up for younger and older persons of both sexes. Chronic unemployment is negatively related to consumption at follow-up among older males and younger females. Becoming unemployed between measurements is homogeneously and negatively related to consumption among older males and females, but positively related among younger males. Becoming employed is homogeneously and positively related to later consumption among all groups except young females.
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 quantity and depression among females illustrates the importance of controlling for age and sex. Methodological considerations are discussed.
Characteristics of two groups of abstainers, other than their non-use of alcohol, may confound the associations found between drinking and mortality risk.
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