In this meta-analysis we found that the consumption of soy protein rather than animal protein significantly decreased serum concentrations of total cholesterol, LDL cholesterol, and triglycerides without significantly affecting serum HDL cholesterol concentrations.

This meta-analysis indicated that, after adjustment for appropriate key cofactors, breast-feeding was associated with significantly higher scores for cognitive development than was formula feeding.

No abstract

No abstract

No abstract

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.

Meta-analysis combines results from multiple longitudinal studies to describe life course variation by age and sex for quantity of drinking per typical occasion (20 studies) and frequency of drinking during one month (27 studies). There is cross-study heterogeneity for the Time 1 means of the drinking variables blocking for age and sex. Age distributions for the Time 1 means are similar by gender within nations; in the aggregate, males exceed females in the magnitude of drinking. Dramatic shifts in the standardized mean difference (M2-M1) occur among the young; greater homogeneity and moderate change (declines) occur later in life. Implicated in improving cross-study homogeneity for M2-M1 among the young are interval between measurements, nation, Time 1 per capita consumption (PCC), difference in PCC and the Time 1 mean. Lower unstandardized regression coefficients are found for quantity among youth, but are not consistently homogeneous within nations; the association for frequency becomes increasingly stable with increasing age. Nation and interval are implicated in improving homogeneity. Decline in quantity occurs among the old. M2-M1 produces homogeneously higher regressions for groups of the young who increase quantity v. those who do not. Linkage of the group-level and individual-level findings is discussed.