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151.
152.
Elizabeth McIngvale Patrick S. Bordnick John Hart 《Journal of Technology in Human Services》2015,33(2):191-203
The OCD Challenge is an interactive self-help website for obsessive compulsive disorder (OCD). OCD is often untreated and many barriers prohibit access to an evidence-based intervention including cost, lack of providers, and stigma. Analysis of 436 website participant's demographic data revealed that 63.1% were female, 80.5% were Caucasian, the mean age was 33.37 and the mean age of onset was 15.37. Results of the 436 website users showed a significant positive correlation between Yale-Brown Obsessive Compulsive Scale (YBOCS) assessment scores and disability as well as anxiety and stress scores. Future studies should examine the feasibility of the OCD Challenge at decreasing OCD, disability, depression, anxiety, and stress scores. 相似文献
153.
Kirsten L. Buist Savannah Boele Anne Bülow Ellen Reitz Marjolein Verhoeven Loes Keijsers 《Journal of research on adolescence》2023,33(4):1164-1178
This preregistered longitudinal study examined changes in adolescents' depressive and anxiety symptoms before and during the COVID-19 pandemic using latent additive piece-wise growth models. It also assessed whether support from and conflict with mothers, fathers, siblings, and best friends explained heterogeneity in change patterns. One hundred and ninety-two Dutch adolescents (Mean age: 14.3 years; 68.8% female) completed online biweekly questionnaires for a year (November 2019–October 2020), consisting of a prepandemic, lockdown, and reopening phase. Depressive symptoms increased following the lockdown and decreased upon reopening. Anxiety symptoms showed an immediate decrease followed by a gradual increase in the reopening phase. Prepandemic family and best friend support and conflict did not explain heterogeneity in depressive and anxiety symptoms during the COVID-19 pandemic. 相似文献
154.
Ma Y Hart JD Janicki R Carroll RJ 《Journal of the Royal Statistical Society. Series B, Statistical methodology》2011,73(1):81-98
We consider functional measurement error models, i.e. models where covariates are measured with error and yet no distributional assumptions are made about the mismeasured variable. We propose and study a score-type local test and an orthogonal series-based, omnibus goodness-of-fit test in this context, where no likelihood function is available or calculated-i.e. all the tests are proposed in the semiparametric model framework. We demonstrate that our tests have optimality properties and computational advantages that are similar to those of the classical score tests in the parametric model framework. The test procedures are applicable to several semiparametric extensions of measurement error models, including when the measurement error distribution is estimated non-parametrically as well as for generalized partially linear models. The performance of the local score-type and omnibus goodness-of-fit tests is demonstrated through simulation studies and analysis of a nutrition data set. 相似文献
155.