Objectives: This meta-analysis examines the strength of the link between substance use (e.g., alcohol use vs. drug use) and intimate partner violence (IPV) perpetration and victimization. Method: Data from 285 studies (yielding 983 effect sizes (ESs) and a combined sample size of 627,726) were analyzed using random effects. Moderator analyses compared the impact of overall substance abuse, alcohol use, and drug use on IPV perpetration and victimization for males and females. Results: Overall substance use, alcohol use, and drug use were significantly related to IPV perpetration and victimization, with mean ESs ranging from r ϭ .18 to .23. Results indicate that drug use is a significantly stronger correlate with victimization, compared with alcohol use. Problematic alcohol use measures (i.e., abuse, dependence, and drinking problems) were significantly stronger correlates than consumption measures (e.g., alcohol use or frequency) for IPV victimization, but statistically similar for IPV perpetration. Problematic drug use measures were significantly stronger correlates with perpetration than drug consumption measures. Surprisingly, there were no significant differences between the impact of different drug types, and no significant difference between the impact of stimulants versus nonstimulants on IPV perpetration and victimization. Conclusions: This study provides the most comprehensive analysis of the link between substance use and IPV to date. Even if certain drugs are regarded as a lower health risk, clinicians are encouraged to evaluate the impact on their clients' IPV. Future IPV researchers are encouraged to include specific drug types and frequencies of substance use.
Most contemporary studies of change in marital quality over time have used growth curve modeling to describe continuously declining mean curves. However, there is some evidence that different trajectories of marital quality exist for different subpopulations. Group-based trajectory modeling provides the opportunity to conduct an empirical investigation of the variance in marital quality trajectories. We applied this method to analyze data from continuously married individuals from the Marital Instability over the Life Course Study (N ϭ 706). Instead of a single continuously declining trajectory of marital happiness, we found 5 distinct trajectories. Nearly two thirds of participants reported high and stable levels of happiness over time, and the other one third showed either a pattern of continuous low happiness, low happiness that subsequently declined, or a curvilinear pattern of high happiness, decline, and recovery. Marital problems, time spent in shared activities, and (to a lesser degree) economic hardship were able to distinguish trajectory group membership. Our results suggest that marital happiness may have multiple distinct trajectories across reasonably diverse populations. Implications for theory, research, and practice are discussed.
This study examined the relations among family income, social support, parental depression, and parenting among 290 predominantly rural families with children at risk for disruptive or socially withdrawn behaviors. Structural equation modeling and multiple regression were used, and the results showed that low family income was related to high levels of parental depression, which in turn were associated with disruptive parenting. The findings also showed that social support mediated the adverse relationship between low family income and parental depression. Social support was directly related to positive parenting and indirectly related to parent-child relational
Using cross-sectional data from 117 married couples in which one member is diagnosed with type 2 diabetes, the current study sought to explore a possible indirect association between common dyadic coping and dietary and exercise adherence via the mechanism of patient and spouse reports of diabetes efficacy. Results from the structural equation model analysis indicated common dyadic coping was associated with higher levels of diabetes efficacy for both patients and spouses which, in turn, was then associated with better dietary and exercise adherence for the patient. This model proved a better fit to the data than three plausible alternative models. The bootstrap test of mediation revealed common dyadic coping was indirectly associated with dietary adherence via both patient and spouse diabetes efficacy, but spouse diabetes efficacy was the only mechanism linking common dyadic coping and exercise adherence. This study highlights the importance of exploring the indirect pathways through which general intimate relationship functioning might be associated with type 2 diabetes outcomes.
Background Personality has received some attention in the Type 2 diabetes literature, however research has not linked personality and diabetes adherence behaviors (diet and exercise), identified pathways through which they are associated, nor taken into consideration important contextual factors that influence behavior (the patient’s partner). Methods Dyadic data from 117 married, heterosexual couples in which one member is diagnosed with Type 2 diabetes was used to explore associations between each partner’s neuroticism and patient dietary and exercise adherence through the pathways of negative affect, depression symptoms, and couple-level diabetes efficacy (both patient and spouse report of confidence in the patient’s ability to adhere to diabetes management regimens). Results Results revealed that higher levels of neuroticism were associated with lower patient dietary and exercise adherence through (1) higher levels of depression symptoms (for patients’ neuroticism) and negative affect (for spouses’ neuroticism), and (2) lower levels of couple-level diabetes efficacy. Conclusions The results from this study provide evidence that both patient and spouse personality traits are associated with patient dietary and exercise adherence through increased emotional distress—albeit different emotional pathways for patients and spouses—and lower couple confidence in the patients’ ability to manage their diabetes.
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