2010
DOI: 10.1001/archgenpsychiatry.2010.159
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Does Marriage Inhibit Antisocial Behavior?

Abstract: Context Prior studies have indicated that marriage is negatively associated with male antisocial behavior. Although often interpreted as a causal association, marriage is not a random event. As such, the association may stem from selection processes, whereby men less inclined towards antisocial behavior are more likely to marry. Objective To evaluate selection versus causation explanations of the association between marriage and desistence from antisocial behavior. Design Co-twin control analyses in a pros… Show more

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Cited by 72 publications
(23 citation statements)
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“…We considered three: socioeconomic status, early criminal behavior or drug abuse, and a family history of alcohol use disorder. There is evidence in some studies that antisocial individuals are less likely to be or become married (19, 36, 37); however, other studies have found no association between some forms of antisocial behavior and marital status (38) and an increased likelihood of early marriage among those with antisocial personality disorder (39). When good measures of these three constructs were added to the statistical model, no attenuation was seen in the relationship between marital status and alcohol use disorder.…”
Section: Discussionmentioning
confidence: 99%
“…We considered three: socioeconomic status, early criminal behavior or drug abuse, and a family history of alcohol use disorder. There is evidence in some studies that antisocial individuals are less likely to be or become married (19, 36, 37); however, other studies have found no association between some forms of antisocial behavior and marital status (38) and an increased likelihood of early marriage among those with antisocial personality disorder (39). When good measures of these three constructs were added to the statistical model, no attenuation was seen in the relationship between marital status and alcohol use disorder.…”
Section: Discussionmentioning
confidence: 99%
“…The co-twin control analyses used regression-based models within a multilevel model (MLM) framework (Burt et al, 2010; McGue et al, 2010). MLM accounts for the non-independence of the twin data within a pair by nesting a level-1 variable (individual twin) within a level-2 variable (the twin pair).…”
Section: Methodsmentioning
confidence: 99%
“…Fortunately, there are methods to examine the role of socialization and selection effects indirectly using cross sectional data; most notably, the co-twin control design (McGue, Osler, & Christensen, 2010). Co-twin control studies compare outcomes in reared-together co-twins discordant on level of exposure to an environmental risk factor (Burt et al, 2010; McGue et al, 2010; Rubin, 2007). In order to infer the role of selection and/or socialization effects, the co-twin control model capitalizes on the common environmental and genetic background within twin pairs.…”
mentioning
confidence: 99%
“…This analysis yields the individual-level effect of exposure (i.e., education) on outcome (i.e., allostatic load), without controlling for genetic or other familial confounding. Next, we applied a co-twin control (CTC) design that has been previously employed to strengthen causal inference in observational twin research (e.g., Burt et al, 2010; Huibregtse et al, 2011; Irons et al, 2015; McGue et al, 2010). This design investigates if differences in education within twin pairs predict allostatic load.…”
Section: Analytic Planmentioning
confidence: 99%