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Although a number of studies examined the implications of marital disruption for adolescent well-being, few studied the implications of marital relationship quality on health outcomes for children in married-couple families. The present study examines how parent marital quality among intact families interacts with the quality of parent–adolescent relationships to predict physical health, mental health, and substance use in middle adolescence and early adulthood. The study uses data from the NLSY97 cohort, a nationally representative sample of adolescents who are being followed into adulthood. Predictors include the quality of the parent marital relationship, the quality of the parent–adolescent relationship, marital structure, and a number of contextual covariates and control variables. Combined parent marital quality and parent–adolescent relationship groups were developed using latent class analyses and were used to predict positive and negative health behaviors during the teen and early adult years. Results indicate that adolescents in families experiencing poor marital quality fared worse on physical health, mental health, and substance use outcomes. In addition, adolescents who reported poor relationships with at least one of their parents fared worse on outcomes. Adolescents whose parents have low-quality relationships and also have poor parent–adolescent relationships tended to fare least well across health measures. Adolescents whose parents have a high-quality relationship and who have a good parent–adolescent relationship with both parents consistently had the best outcomes. Overall, poor relationships consistently undermine mental health, physical health, and substance use. Family religious activities also consistently predict better health outcomes.  相似文献   
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Urban Ecosystems - Tram and railway tracks represent specific urban habitats, which host a specific type of flora. This study aims to compile the information about species composition of flora of...  相似文献   
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Rigorous studies repeatedly have demonstrated the negative effects of parental divorce on outcomes for families. However, very few studies have examined the quality of the marital relationship within intact families or how the quality of the marital relationship interacts with the quality of the parent–adolescent relationship. The present study examines how aspects of parent marital quality, such as marital support and conflict between the couple, existed within married families and examines how patterns of mother–adolescent and father–adolescent relationships quality varied longitudinally from 1997 to 1999. The study uses data from the NLSY97 cohort, a nationally representative sample of adolescents who are being followed into adulthood. Four profiles of parent marital quality were developed using latent class analyses. Four growth profiles for the mother–adolescent relationship and for the father–adolescent relationship were created using latent growth class analysis in Mplus. To examine how the parent marital quality profiles and the parent–adolescent relationship quality interact, we examined how they overlapped. Six distinct groups were evident from this examination: (1) high marital quality and good relationships with both parents, (2) high marital quality and a good relationship with only one parent, (3) high support and high conflict marital quality and a good relationship with at least one parent, (4) low marital quality and a good relationship with at least one parent, (5) high marital quality and bad relationships with both parents, and (6) low marital quality and bad relationships with both parents.  相似文献   
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Let (X, Y) be a bivariate random vector whose distribution function H(x, y) belongs to the class of bivariate extreme-value distributions. If F1 and F2 are the marginals of X and Y, then H(x, y) = C{F1(x),F2(y)}, where C is a bivariate extreme-value dependence function. This paper gives the joint distribution of the random variables Z = {log F1(X)}/{log F1(X)F2(Y)} and W = C{F1{(X),F2(Y)}. Using this distribution, an algorithm to generate random variables having bivariate extreme-value distribution is présentés. Furthermore, it is shown that for any bivariate extreme-value dependence function C, the distribution of the random variable W = C{F1(X),F2(Y)} belongs to a monoparametric family of distributions. This property is used to derive goodness-of-fit statistics to determine whether a copula belongs to an extreme-value family.  相似文献   
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