Nocturnal Enuresis in Sickle Cell: Sociodemographic, Medical, and Quality of Life Factors.

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 6.00-17.99 years) and their caregivers completed semi-structured interviews and questionnaires. HRQOL was measured using the Pediatric Quality of Life (PedsQL) Inventory. Medical information was abstracted from medical record. We generated multivariable logistic regression models to examine associations between factors and current nocturnal enuresis and nocturnal enuresis occurring any time in the past (lifetime). RESULTS: Among participants (mean age, 11.3 ± 3.6 years; 50.8% male), 21.4% reported current nocturnal enuresis and 46% reported lifetime nocturnal enuresis. Male sex [odds ratio (OR), 2.57; p = .001], difficulty arousing from sleep (OR, 3.57; p < .001), higher school functioning HRQOL (OR, 1.02; p = .014), and higher fetal hemoglobin levels (OR, 1.03; p = .048) were associated with lifetime nocturnal enuresis. Younger age (OR, 1.16; p = .005), higher youth-reported fatigue (OR, 1.01; p = .045), difficulty arousing from sleep (OR, 4.92; p < .001), and higher lactate dehydrogenase levels (OR, 1.00; p = .042) were associated with current nocturnal enuresis. CONCLUSIONS: Nocturnal enuresis is prevalent in youth with SCD and is associated with HRQOL, diminished sleep, greater fatigue, and disease severity markers. Routine assessment of sleep behaviors and fatigue are necessary when treating patients with SCD to understand the impact of nocturnal enuresis on HRQOL.

Multimediation Method With Balanced Repeated Replications For Analysis Of Complex Surveys.

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. In step R+2, the standard errors of these estimates are computed via balanced repeated replications. In step R+3, the raw p-values corresponding to mediation effects are computed based on the generalized Sobel's tests. In the final step, R+4, the p-values are adjusted for multiplicity and statistical inferences regarding mediation effects are drawn. To illustrate the approach we examined significance of attitudes toward smoking bans as mediators in the association between smoking restrictions at work and nicotine dependence among male daily smokers.

Workplace smoking restrictions and support for smoking cessation in the USA: state, region, and overall trends from 2010-11 to 2014-15.

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 (n = 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 (P = 0.001). There was a decrease in the Northeastern region (P < 0.001) and no significant changes in the other three US regions. The percentages decreased in Hawaii, New York, Oregon, Pennsylvania, and Tennessee and increased in Indiana, Nebraska, and Wyoming. The percentage of employees who reported having workplace support for smoking cessation increased from 24% to 29% (P < 0.001), which was uniform across all US regions but differed across the US states. The percentages decreased in Hawaii and increased in the majority of states. Analysis of smokers' reports (versus all reports) resulted in lower percentages of workplaces with smoking restrictions and support for smoking cessation. It is essential to further enhance support for smoking cessation offered to smokers at US workplaces.

Smoke-free homes among single-parent families: Differences associated with parental race/ethnicity and smoking behaviors.

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. single-parent households with underage children (children under the age of 18) based on the Tobacco Use Supplement to the Current Population Survey: 2010-11 (n = 6474) and 2014-15 (n = 6114). The interviews were conducted by phone and in-person. Statistical analysis was performed in 2017. The overall rate of smoke-free homes was 82% in 2010-11 and 86% in 2014-15. The rate of a smoke-free home was highest for Non-Hispanic (NH) Asian (94%) and Hispanic (92%) parents and lowest for NH Multiracial (77% in 2010-11 and 82% in 2014-15) in both survey periods. However, 2014-15 model-based comparisons relative to NH Whites indicated only one significant difference: the rate was lower for NH Blacks (OR = 0.46, 99% CI = 0.32:0.66). The smoke-free homes were least prevalent among daily smokers, followed by occasional smokers, followed by former smokers, and most prevalent among never smokers in each survey period. The 2010-11 and 2014-15 rates were 45% and 54% for daily, 64% and 72% for occasional, 89% and 91% for former, and 93% and 94% for never smokers. The gap in the rates of smoke-free homes for diverse parental racial/ethnic groups observed in 2010-11 decreased by 2014-15. While smoke-free homes became more prevalent in 2014-15, the rates remain drastically different among families with different parental smoking behaviors. Exposure to secondhand smoke at home remains common among single-parent households where the parent smokes.

Retrospective reports of former smokers: Receiving doctor's advice to quit smoking and using behavioral interventions for smoking cessation in the United States.

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. The primary measures included receiving a doctor's advice to quit smoking in the year before smoking cessation and using behavioral interventions for smoking cessation (telephone helplines and web-based interventions) while trying to quit smoking. The study was conducted from January to July 2018. We used merged data from the 2010-11 and 2014-15 Tobacco Use Supplement to the Current Population Survey. The sample sizes were 7011 and 12,025, respectively, for the analyses corresponding to two primary measures. The rate of receiving a doctor's advice to quit increased significantly from 66% (SE = 2%) in 2007 to 73% (SE = 4%) in 2015. The rate of usage of telephone helplines or web-based interventions for smoking cessation increased only from 3% (SE = 1%) in 2007 to 5% (SE = 1%) in 2015. These positive trends remained even after adjusting for several important factors. For both measures, the rates were consistently lower among Hispanic smokers than Non-Hispanic Black/African American and White smokers. Despite the availability of states' behavioral interventions for cessation of tobacco use, utilization of these interventions remains very low, indicating that smokers may not be aware of these free resources, may have misconceptions about these interventions being evidence-based, or there are barriers for using these interventions.

Advances in Measurement Invariance and Mean Comparison of Latent Variables: Equivalence Testing and A Projection-Based Approach.

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. Equivalence testing (ET) has been recently proposed to replace NHT for studying MI. ET informs researchers a size of possible misspecification and allows them to claim that measurements are practically equivalent across groups if the size of misspecification is smaller than a tolerable value. Another recent advancement in studying MI is a projection-based method under which testing the cross-group equality of means of latent traits does not require the intercepts equal across groups. The purpose of this article is to introduce the key ideas of the two advancements in MI and present a newly developed R package equaltestMI for researchers to easily apply the two methods. A real data example is provided to illustrate the use of the package. It is advocated that researchers should always consider using the two methods whenever MI needs to be examined.