Publications by authors named "Yujiao Mai"

Objective: Nocturnal enuresis is more prevalent in youth with sickle cell disease (SCD) compared to the general population. The purpose of this study is to estimate prevalence of nocturnal enuresis using diagnostic criteria and identify associated sociodemographic, medical, and health-related quality of life (HRQOL) factors.

Methods: Youth with SCD (N = 248; ages 6.

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We discuss the most recent changes in smoking policies and support for smoking cessation offered to smokers at US workplaces. We used reports of employed adults ( = 112,008) regarding smoking restrictions and support for smoking cessation offered at their indoor workplaces from the 2010-11 and 2014-15 Tobacco Use Supplement-Current Population Survey. The percentage of adults who reported having workplace smoking restrictions was 94% in 2010-11 and 93% in 2014-15 ( = 0.

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We propose a method suitable for analysis of cross-sectional studies with complex sampling and continuous variables. The method consists of R+4 steps, where R denotes the number of replications. In the first R+1 steps, the main and R replicate weights are used (one at a time) to estimate the product of coefficients for all mediation effects using a structural equation model.

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The study investigated the over-time changes and racial/ethnic disparities in the quality of health care services for cigarette smoking cessation in the U.S. from 2007 to 2015.

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We assessed differences in the rates of smoke-free homes among single-parent households with regard to parental race/ethnicity and smoking status. We identified two cohorts representative of the U.S.

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Measurement invariance (MI) entails that measurements in different groups are comparable, and is a logical prerequisite when studying difference or change across groups. MI is commonly evaluated using multi-group structural equation modeling through a sequence of chi-square and chi-square-difference tests. However, under the conventional null hypothesis testing (NHT) one can never be confident enough to claim MI even when all test statistics are not significant.

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