Using complementary methods to test whether marriage limits men's antisocial behavior

2013 ◽  
Vol 25 (1) ◽  
pp. 65-77 ◽  
Author(s):  
Sara R. Jaffee ◽  
Caitlin McPherran Lombardi ◽  
Rebekah Levine Coley

AbstractMarried men engage in significantly less antisocial behavior than unmarried men, but it is not clear whether this reflects a causal relationship. Instead, the relationship could reflect selection into marriage whereby the men who are most likely to marry (men in steady employment with high levels of education) are the least likely to engage in antisocial behavior. The relationship could also be the result of reverse causation, whereby high levels of antisocial behavior are a deterrent to marriage rather than the reverse. Both of these alternative processes are consistent with the possibility that some men have a genetically based proclivity to become married, known as an active genotype–environment correlation. Using four complementary methods, we tested the hypothesis that marriage limits men's antisocial behavior. These approaches have different strengths and weaknesses and collectively help to rule out alternative explanations, including active genotype–environment correlations, for a causal association between marriage and men's antisocial behavior. Data were drawn from the in-home interview sample of the National Longitudinal Study of Adolescent Health, a large, longitudinal survey study of a nationally representative sample of adolescents in the United States. Lagged negative binomial and logistic regression and propensity score matching models (n = 2,250), fixed-effects models of within-individual change (n = 3,061), and random-effects models of sibling differences (n = 618) all showed that married men engaged in significantly less antisocial behavior than unmarried men. Our findings replicate results from other quasiexperimental studies of marriage and men's antisocial behavior and extend the results to a nationally representative sample of young adults in the United States.

1998 ◽  
Vol 83 (1) ◽  
pp. 319-327 ◽  
Author(s):  
Walter R. Schumm ◽  
Farrell J. Webb ◽  
Stephan R. Bollman

In 1972, Bernard argued that marriage was good for men and bad for women. Subsequent research noted that wives, on average, reported lower marital satisfaction than husbands. Furthermore, when differences within couples existed on marital satisfaction, the wife was usually the less satisfied spouse; however, most previous studies of the gender/marital satisfaction relationship had not been based on nationally representative samples. A nationally representative sample from the 1988 Survey of Families and Households was used to assess the relationship of gender with marital satisfaction. Within-couple analyses indicated that wives were less satisfied with their marriages than husbands and that, when substantial within-couple differences occurred with respect to marital satisfaction, the wife was usually the less satisfied spouse. Results provide at least small support for feminist assertions about the relatively adverse nature of marriage for women in the United States.


Healthcare ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 341
Author(s):  
David R. Axon ◽  
Shannon Vaffis ◽  
Srujitha Marupuru

The prevalence of older adults with pain and comorbid cardiovascular conditions is increasing in the United States (U.S.). This retrospective, cross-sectional database study used 2017 Medical Expenditure Panel Survey data and hierarchical logistic regression models to identify predictive characteristics of opioid use among a nationally representative sample of older U.S. adults (aged ≥50 years) with pain in the past four weeks and comorbid hypertension (pain–hypertension group) or hypercholesterolemia (pain–hypercholesterolemia group). The pain–hypertension group included 2733 subjects (n = 803 opioid users) and the pain–hypercholesterolemia group included 2796 subjects (n = 795 opioid users). In both groups, predictors of opioid use included: White race versus others, Hispanic versus non-Hispanic ethnicity, 1 versus ≥5 chronic conditions, little/moderate versus quite a bit/extreme pain, good versus fair/poor perceived mental health, functional limitation versus no functional limitation, smoker versus non-smoker, and Northeast versus West census region. In addition, Midwest versus West census region was a predictor in the pain–hypertension group, and 4 versus ≥5 chronic conditions was a predictor in the pain–hypercholesterolemia group. In conclusion, several characteristics of older U.S. adults with pain and comorbid hypertension or hypercholesterolemia were predictive of opioid use. These characteristics could be addressed to optimize individuals’ pain management and help address the opioid overdose epidemic.


2020 ◽  
Vol 130 (4) ◽  
pp. 848-851 ◽  
Author(s):  
James H. Wilson ◽  
Spencer C. Payne ◽  
Cyrelle‐Elize R. Fermin ◽  
Ian Churnin ◽  
Jamiluddin Qazi ◽  
...  

2018 ◽  
Vol 23 (4) ◽  
pp. 425-449 ◽  
Author(s):  
Kraig Beyerlein ◽  
Peter Ryan ◽  
Aliyah Abu-Hazeem ◽  
Amity Pauley

On January 21, 2017, over four hundred cities across the United States organized sister marches in solidarity with the Women's March on Washington. In this paper, we first compare the size of these marches to that of several significant protest-event sources to show how extraordinary turnout was that day. Then, analyzing a nationally representative sample of sister marches, we present univariate statistics for both event-level characteristics (such as demographics of participants or types of speakers) and mobilization processes (such as composition of organizing teams or recruitment efforts). We situate the descriptive findings in the broader literature on protest events and the women's movement to identify how they converge or diverge from established patterns. In addition, our study shows that many event-level characteristics of the sister marches were distinct relative to a recent national study of protests. Also discussed are the ways in which our results contribute to understanding the sister marches' success in mobilizing millions of people to take to the streets.


Author(s):  
Yulia I. Raynik ◽  
Hans-Helmut König ◽  
André Hajek

Background: The question of whether employees’ sickness absence from the workplace depends on personality has been researched. Existing evidence mostly stems from cross-sectional studies, mainly showing that personality factors were not associated with the number of sick leave days, except for neuroticism, which was positively associated with sick leave days. Based on the above, it remains an under researched question whether intraindividual changes in personality factors are associated with changes in sick leave days. Thus, based on a nationally representative sample, the current study aimed to investigate the relationship between personality factors and sick leave days longitudinally based on a nationally representative sample of individuals in Germany. Methods: The present study used data from the German Socio-Economic Panel (GSOEP), a longitudinal survey of private households in Germany. Information from the years 2005, 2009, 2013 were used. The Big Five Inventory-GSOEP (BFI-S) was used to measure personality. Sick leave days in the preceding year were recorded. Poisson fixed effects regressions were used. Results: Adjusting for potential confounders, regressions showed that increases in neuroticism were associated with increased sick leave days. The longitudinal association between extraversion and sick leave days was marginally significant (p < 0.10). Other personality factors were not significantly associated with sick leave days. In addition, sick leave days increased with worsening self-rated health, presence of severe disability and increasing age. Conclusions: The findings of the current study highlight the association between neuroticism and sick leave days longitudinally. Further research is required to elucidate the underlying mechanisms.


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