Depression and Alcohol Use in a National Sample of Hispanic Adolescents.

BACKGROUND: Underage alcohol use and depression remain public health concerns for Hispanic adolescents nationwide. OBJECTIVES: The study purpose was to identify the profiles of depression among Hispanic adolescents who reported experiencing depressive symptoms in their lifetime and classify them into groups based on their symptoms. Based on classifications, we examined the relationship between past year alcohol use and severity of depressive symptoms while controlling for sex and age. METHODS: A secondary analysis of the 2013 NSDUH was conducted among Hispanic adolescents from 12 to 17 years of age (n = 585) who reported experiencing depressive symptoms. Latent class analysis was used to identify latent classes of depressive symptoms among Hispanic adolescents. A zero-inflated negative-binomial regression model was used to examine the relationship between alcohol use and depressive symptoms. RESULTS: "High depressive" and "moderate depressive" classes were formed. The items that highly differentiated among the groups were felt worthless nearly every day, others noticed they were restless or lethargic, and had changes in appetite or weight. There was a significant difference (p = 0.03) between the classes based on alcohol use; those in the moderate depressive class were 1.71 times more likely to be identified as not reporting past alcohol use. Results indicated the high depressive class was estimated to have 1.62 more days of past year alcohol use than those in the moderate depressive class for adolescents who used alcohol (p < 0.001). Conclusions/Importance: Study findings can be used to address these significant public health issues impacting Hispanic adolescents. Recommendations are included.

Exploring associations between state education initiatives and teachers' sleep: A social-ecological approach.

Social policies that are not specifically aimed at impacting health can still have health consequences. State education reforms, such as standardized testing and stringent accountability for schools and teachers, may affect teacher health by changing their working conditions. This study explores associations between state education initiatives and teachers' sleep, an important predictor of productivity and chronic health conditions. The Behavioral Risk Factor Surveillance System 2013 and 2014 data sets provided sleep and demographic data for 7836 teachers in 29 states in the United States. We linked the teacher data to state education reform data from the U.S. Department of Education. Logistic regression was used to estimate odds ratios (ORs) of reporting inadequate sleep (i.e., <6.5 h and <5.5 h) associated with state education policies after adjusting for demographic characteristics. Teachers had significantly higher odds of reporting inadequate sleep if their state financed professional development, sanctioned or rewarded schools based on student performance, and regulated classroom materials for state-wide common core standards (ORs ranging from 1.25 to 1.84). More strictly defined inadequate sleep (<5.5 h) had generally higher ORs than less strict definition (<6.5 h). The Race-to-the-Top award, a US federal grant designed to encourage states to implement reforms through regulations and legislations, was also associated with inadequate sleep (OR = 1.41, p < 0.01, for <6.5 h; OR = 1.55, p < 0.01, for <5.5 h). Although this exploratory study did not have district- and school-level implementation data, the results suggest that some state education policies may have impacts on teacher sleep. Consequences of education reform for teacher health deserve more attention.

Hidden item variance in multiple mini-interview scores.

The extant literature has largely ignored a potentially significant source of variance in multiple mini-interview (MMI) scores by "hiding" the variance attributable to the sample of attributes used on an evaluation form. This potential source of hidden variance can be defined as rating items, which typically comprise an MMI evaluation form. Due to its multi-faceted, repeated measures format, reliability for the MMI has been primarily evaluated using generalizability (G) theory. A key assumption of G theory is that G studies model the most important sources of variance to which a researcher plans to generalize. Because G studies can only attribute variance to the facets that are modeled in a G study, failure to model potentially substantial sources of variation in MMI scores can result in biased estimates of variance components. This study demonstrates the implications of hiding the item facet in MMI studies when true item-level effects exist. An extensive Monte Carlo simulation study was conducted to examine whether a commonly used hidden item, person-by-station (p × s|i) G study design results in biased estimated variance components. Estimates from this hidden item model were compared with estimates from a more complete person-by-station-by-item (p × s × i) model. Results suggest that when true item-level effects exist, the hidden item model (p × s|i) will result in biased variance components which can bias reliability estimates; therefore, researchers should consider using the more complete person-by-station-by-item model (p × s × i) when evaluating generalizability of MMI scores.

Life history strategy and young adult substance use.

This study tested whether life history strategy (LHS) and its intergenerational transmission could explain young adult use of common psychoactive substances. We tested a sequential structural equation model using data from the National Longitudinal Survey of Youth. During young adulthood, fast LHS explained 61% of the variance in overall liability for substance use. Faster parent LHS predicted poorer health and lesser alcohol use, greater neuroticism and cigarette smoking, but did not predict fast LHS or overall liability for substance use among young adults. Young adult neuroticism was independent of substance use controlling for fast LHS. The surprising finding of independence between parent and child LHS casts some uncertainty upon the identity of the parent and child LHS variables. Fast LHS may be the primary driver of young adult use of common psychoactive substances. However, it is possible that the young adult fast LHS variable is better defined as young adult mating competition. We discuss our findings in depth, chart out some intriguing new directions for life history research that may clarify the dimensionality of LHS and its mediation of the intergenerational transmission of substance use, and discuss implications for substance abuse prevention and treatment.

Children's Learning and Goal-Setting at a Diabetes Camp.

Objective. This study provides information about children's learning and goal attainment related to change in their self-management skills during a diabetes camp. Design and methods. One hundred and thirty-one children completed an evaluation for the first year (year 1), and 68 children completed an evaluation for the second year (year 2). All of the children had type 1 diabetes. During both years, parents provided information about goals for their child before camp started. Children's learning about diabetes self-management, as well as their satisfaction with camp, was assessed at the end of the camp session. In the evaluation for year 2, a goal-setting intervention was also developed, and its effectiveness was assessed through both physicians' and children's reports. Results. Children learned new information during camp about recognizing and managing the signs of hypo- and hyperglycemia and about counting carbohydrates and rotating insulin pump sites. Children were better able to recall their self-management goals in year 2. In terms of benefiting from camp, boys reported learning more than girls about diabetes management, whereas girls were more likely than boys to report that greater opportunities to express feelings were of value. Conclusions. Goal-setting was successful in improving children's recall of their self-management goals. Children benefited from the supportive and educational camp atmosphere. Future research should assess the benefits of camp across multiple camp settings and determine whether educational benefits have long-term effects on children's goal-setting and knowledge and whether these benefits lead to psychosocial improvements.

Optimizing eHealth breast cancer interventions: which types of eHealth services are effective?

Little is known about the effective elements of Interactive Cancer Communication Systems (ICCSs). A randomized trial explored which types of services of a multifaceted ICCS benefited patients and the nature of the benefit. Women with breast cancer (N=450) were randomized to different types of ICCS services or to a control condition that provided internet access. The Comprehensive Health Enhancement Support System (CHESS), served as the ICCS. ICCS services providing information and support, but not coaching such as cognitive behavior therapy, produced significant benefits in health information competence and emotional processing. Provision of Information and Support ICCS services significantly benefited women with breast cancer. More complex and interactive services designed to train the user had negligible effects.