Matthew R. Lee

The effect of marriage on young adult heavy drinking and its mediators: results from two methods of adjusting for selection into marriage.

This study tested the effect of marriage on young adult heavy drinking and tested whether this effect was mediated by involvement in social activities, religiosity, and self-control reasons for limiting drinking. The sample of 508 young adults was taken from an ongoing longitudinal study of familial alcoholism that over-sampled children of alcoholics (Chassin, Rogosch, & Barrera, 1991). In order to distinguish role socialization effects of marriage from confounding effects of role selection into marriage, analyses used both the analysis of covariance (ANCOVA) method and the change score method of adjusting for pre-marriage levels of heavy drinking and the mediators. Results showed role socialization effects of marriage on post-marriage declines in heavy drinking. This effect was mediated by involvement in social activities such that marriage predicted decreased involvement in social activities, which in turn predicted decreased heavy drinking. There were no statistically significant mediated effects of religiosity. The mediated effect of self-control reasons for limiting drinking was supported by the ANCOVA method only, and further investigation suggested that this result was detected erroneously due to violation of an assumption of the ANCOVA method that is not shared by the change score method. Findings from this study offer an explanation for the maturing out of heavy drinking that takes place for some individuals over the course of young adulthood. Methodologically, results suggest that the ANCOVA method should be employed with caution, and that the change score method is a viable approach to confirming results from the ANCOVA method.

Two Alternative Approaches to Conventional Person-Mean Imputation Scoring of the Self-Rating of the Effects of Alcohol Scale (SRE)

A low level of response to alcohol is considered a significant risk factor for alcohol use disorder. Survey measures of this construct assess the number of drinks required to experience various alcohol effects, so data will be missing for effects participants have not experienced. Furthermore, missingness will likely be more common for items with higher means, as more severe effects are likely experienced both less commonly and at higher consumption levels. We explored whether these atypical characteristics of response-to-alcohol survey data cause problems when using conventional person-mean imputation scoring. This scoring approach involves averaging across nonmissing items for each participant, implicitly assuming that missing items have similar distributional properties (e.g., means) as nonmissing items. Analyses used data from the most commonly utilized response-to-alcohol survey measure: The Self-Rating of the Effects of Alcohol Scale (SRE). Results (a) revealed a strong relationship between higher item means and greater item missingness, (b) established that this relation causes person-mean imputation to produce more downwardly biased response-to-alcohol summary scores for participants with more missing data, (c) established that this induced a spurious relationship between higher response-to-alcohol summary scores and higher alcohol-effect endorsement (i.e., the number of SRE alcohol effects experienced), and (d) found that these biases can be reduced with 2 alternative scoring approaches. We discuss these and other potential problems with person-mean imputation, and common and unique advantages of the 2 alternative approaches. We consider generalizability, including how the problems shown here may vary in practical significance across different populations and measures. (PsycINFO Database Record

Desistance and Severity of Alcohol Use Disorder: A Lifespan-Developmental Investigation

Key to an understanding of alcohol use disorder (AUD) are the drinking-related reductions that begin in young adulthood and continue throughout the adult lifespan. Research is needed to precisely characterize the form of these reductions, including possible developmental differences across the lifespan. Using U.S.-representative data, we estimated multiple-group Markov models characterizing longitudinal transitions among five drinking statuses and differences in transition patterns across six adult age periods. While past research indicates relative developmental stability in overall AUD-desistance rates, we found far higher rates of Severe AUD desistance in young adulthood relative to later ages. Especially considering the dramatic change reflected by Severe AUD desistance (from 6+ symptoms to 0–1 symptoms), this result indicates a substantial developmental shift, with Severe AUD desistance rates peaking at 43% to 50% across ages 25 to 34 and then dropping to 22% to 24% across ages 35 to 55. We discuss implications regarding practical significance of young-adult “maturing out” and predictions regarding lifespan variability in desistance mechanisms.