Effects of state-level Earned Income Tax Credit laws in the U.S. on maternal health behaviors and infant health outcomes

The purpose of this paper is to investigate the effects of state-level Earned Income Tax Credit (EITC) laws in the U.S. on maternal health behaviors and infant health outcomes. Using multi-state, multi-year difference-in-differences analyses, we estimated effects of state EITC generosity on maternal health behaviors, birth weight and gestation weeks. We find little difference in maternal health behaviors associated with state-level EITC. In contrast, results for key infant health outcomes of birth weight and gestation weeks show small improvements in states with EITCs, with larger effects seen among states with more generous EITCs. Our results provide evidence for important health benefits of state-level EITC policies

Real longitudinal data analysis for real people: Building a good enough mixed model

Mixed effect models have become very popular, especially for the analysis of longitudinal data. One challenge is how to build a good enough mixed effects model. In this paper, we suggest a systematic strategy for addressing this challenge and introduce easily implemented practical advice to build mixed effect models. A general discussion of scientific strategies motivates the recommended five step procedure for model fitting. The need to model both the mean structure (the fixed effects) and the covariance structure (the random effects and residual error) creates the fundamental flexibility and complexity. Some very practical recommendations help conquer the complexity. Centering, scaling, and full-rank coding all predictor variables radically improves the chances of convergence, computing speed, and numerical accuracy. Applying computational and assumption diagnostics from univariate linear models to mixed model data greatly helps detect and solve related computational problems. Applying computational and assumption diagnostics from univariate linear models to mixed model data can radically improve the chances of convergence, computing speed, and numerical accuracy. The approach helps fit more general covariance models, a crucial step in selecting a credible covariance model needed for defensible inference. A detailed demonstration of the recommended strategy is based on data from a published study of a randomized trial of a multicomponent intervention to prevent young adolescents' alcohol use. The discussion highlights a need for additional covariance and inference tools for mixed models. The discussion also highlights the need for improving how scientists and statisticians teach and review the process of finding a good enough mixed model

Effects of State-Level Earned Income Tax Credit Laws on Birth Outcomes by Race and Ethnicity

Purpose: Health disparities persist in birth outcomes by mother's income, education, and race in the United States. Disadvantaged mothers may experience benefit from supplements to family income, such as the earned income tax credit (EITC). We examined the effects of state-level EITCs on birth outcomes among women with a high school education or less, stratified by race and ethnicity. Methods: A quasi-experimental multistate and multiyear difference-in-differences design is used to assess effects of the presence and generosity of 23 state-level EITC laws on birth outcomes from 1994 to 2013. The methods utilized the U.S. National Vital Statistics System birth data for the outcomes: birth weight, probability of low birth weight (LBW; <2500 g), and gestation weeks. Results: Across all subgroups, any level of state EITC is associated with better birth outcomes with the largest effects seen among states with more generous EITCs. Black mothers experience larger percentage point reductions in the probability of LBW and increases in gestation duration. Among mothers with a high school education or less, results translate into 3760 fewer LBW babies with black mothers and 8364 fewer LBW babies with white mothers per year at the most generous state EITC level (i.e., 10% or more of federal and refundable). Hispanic and non-Hispanic mothers display relatively similar effects. Conclusions: The EITC at the federal and state level is an effective policy tool to reduce poverty and improve birth outcomes across racial and ethnic subgroups. Given the historically higher risk among black mothers, state-level EITC expansions offer one policy option to address this persistent health disparity

Contemporary options for longitudinal follow-up: Lessons learned from a cohort of urban adolescents

Volume four of the report of the Board of Commissioners of the District of Columbia to Congress about government operations for the fiscal year ending June 30, 1918. Volume includes the Report of the Board of Education.

Contemporary options for longitudinal follow-up: Lessons learned from a cohort of urban adolescents

This study reports efforts to locate and survey participants in Project Northland Chicago (PNC), a longitudinal, group-randomized trial of an alcohol preventive intervention for racial/ethnic minority, urban, early-adolescents, 3-4 years following the end of the intervention. Data were collected annually among students from 6th-8th grade and then at age 17-18. Tracking procedures were used to maintain contact with participants and data collection consisted of three phases: (1) Internet- and mail-based surveys; (2) in-school survey administration; and (3) courier service delivery. Contact was lost with 11% of this urban cohort from the end of the PNC intervention activities through these longterm follow-up efforts, as indicated by returned locating postcards. Fifty-three percent of the cohort responded to the survey, the majority completing in Phase 1 of our data collection. Additional school-based and courier-delivery efforts increased our response rate by 11.5%. Costs per completed survey were $118 in Phase 1,$166 in Phase 2, and $440 in Phase 3. This study illustrates that it is possible to track and follow-up a high-risk cohort as they progress through adolescence, even with minimal efforts in intervening years. Lessons learned from this study may inform future efforts to track and collect longitudinal data among high-risk populations.Tracking Data collection Longitudinal Urban Adolescents

Prospective association between dieting and smoking initiation among adolescents

To examine the relation between dieting and smoking initiation among adolescents. Prospective data from a nationally representative study were used. Two waves (1994 to 1996) of the National Longitudinal Study of Adolescent Health. The sample included 7795 non-Latino Caucasian and non-Latino African-American adolescents. Dieting status was the independent variable and trying smoking and initiation of regular smoking were the dependent variables. Covariates included age, ethnicity, overweight status, false self-perception about being overweight, and availability of cigarettes at home. Logistic regression and latent transition analyses were used. Females had a higher prevalence of dieting (55%) when compared with males (25%). Dieting initiation was a significant predictor for initiation of regular smoking among females (OR = 1.94, p = .010), but not among males. Inactive dieting was a significant predictor among males (OR = 1.74, p = .031), but not among females. Compared to nondieters, initiating and consistent female dieters reported a higher probability of transitioning to having tried regular smoking, although results from logistic regression suggested that the association between consistent dieting and initiation of regular smoking was not significant. There is a positive relation between initiating dieting and initiating regular smoking among females, but among males it is the inactive dieters who show a positive relationship. Results illustrate the importance of examining the association between dieting and the initiation of regular smoking

Women’s Lived Experiences with Temporary Assistance for Needy Families (TANF): How TANF Can Better Support Women’s Wellbeing and Reduce Intimate Partner Violence

Women experiencing poverty are more likely to face intimate partner violence (IPV), poor health, and stigma. IPV survivors are overrepresented among those who receive Temporary Assistance for Needy Families (TANF), a conditional cash program serving families experiencing poverty. More generous TANF policies may be protective against IPV, but a greater insight into TANF’s effect could be gleaned through a contemporaneous study that examines intersecting determinants of wellbeing and engages community interpretation of findings. Using an adapted Family Stress Model framework and analyzing data through an intersectional and community-based lens, we explore the impact of TANF on women’s wellbeing through in-depth, semi-structured interviews during the COVID-19 pandemic with 13 women who had TANF experience in three U.S. states. Data were analyzed using thematic analysis in MAXQDA and researchers facilitated three member-checking events to enhance validity of result interpretation. Four themes emerged: (1) Low cash and conditional benefits provided limited short-term “relief” but contributed to poverty and hard choices; (2) TANF benefit levels and conditions increased women’s dependence on others, straining relationships; (3) Women undertook extraordinary measures to access TANF, largely to fulfill their roles as mothers; and (4) TANF stigma creates psychological stress, differentially experienced by African Americans. Increasing TANF cash benefits and other cash transfers for those experiencing poverty, adopting solely state funded TANF programs, increasing funding for TANF administration, addressing TANF stigma and racialized narratives, and allowing optional child support participation or a larger “pass-through” of child support are important steps toward making TANF more protective against IPV