Children in poverty are at significantly greater risk of experiencing child maltreatment. Family economic security policies, such as minimum wage laws, offer a promising prevention strategy to support low-income families. This study utilized data from the Fragile Families and Child Wellbeing Study, a longitudinal birth cohort study, to examine the effect of changes in state-specific minimum wage laws on maternal self-reported child maltreatment and material hardship as it varies by developmental age of the child. A series of fixed effects models with an interaction between the minimum wage and the age of the focal child were used to estimate if there was variation by developmental period of the impact of minimum wage laws on the following outcome variables: all domains of child maltreatment, maternal work-related stress, reported material hardship, aggravation in parenting, and maternal depression. Results revealed significant effects of increased minimum wage on maternal self-reported child neglect and material hardship when children are 3 years of age, and this relationship became non-significant as children aged. No effect was observed by age for other forms of child maltreatment nor any other outcome variables. Study findings suggest minimum wage laws may have differential effects on child neglect depending on the developmental period in which they are received.
Objective: COVID-19 mitigation measures prompted many states to revise the administration of their welfare programs. States adopted policies that varied across the U.S. to respond to the difficulties in fulfilling program requirements, as well as increased financial need. This dataset captures the changes made to Temporary Assistance for Needy Families (TANF) programs during the COVID-19 pandemic, from March 2020 through December 2020. The authors created this dataset as part of a larger study that examined the health effects of TANF policy changes during the COVID-19 pandemic. Data description: TANF is the main cash assistance program for low-income families in the U.S., but benefits are often conditional on work requirements and can be revoked if an individual is deemed noncompliant. Structural factors during the COVID-19 pandemic made meeting these criteria more difficult, so some states relaxed their rules and increased their benefits. This dataset captures 24 types of policies that state TANF programs enacted, which of the states enacted each of them, when the policies went into effect, and when applicable, when the policies ended. These data can be used to study the effects of TANF policy changes on various health and programmatic outcomes.
Background: Opioid-related overdoses are a major cause of mortality in the US. Medicaid Expansion is posited to reduce opioid overdose-related mortality (OORM), and may have a particularly strong effect among people of lower socioeconomic status. This study assessed the association between state Medicaid Expansion and county-level OORM rates among individuals with low educational attainment. Methods: This quasi-experimental study used lagged multilevel difference-in-difference models to test the relationship of state Medicaid Expansion to county-level OORM rates among people with a high-school diploma or less. Longitudinal (2008–2018) OORM data on 2978 counties nested in 48 states and the District of Columbia (DC) were drawn from the National Center for Health Statistics. The state-level exposure was a time-varying binary-coded variable capturing pre- and post-Medicaid Expansion under the Affordable Care Act (an “on switch”-type variable). The main outcome was annual county-level OORM rates among low-education adults adjusted for potential underreporting of OORM. Findings: The adjusted county-level OORM rates per 100,000 among the study population rose on average from 10.26 (SD = 13.56) in 2008–14.51 (SD = 18.20) in 2018. In the 1-year lagged multivariable model that controlled for policy and sociodemographic covariates, the association between state Medicaid Expansion and county-level OORM rates was statistically insignificant. Conclusions: We found no evidence that expanding Medicaid eligibility reduced OORM rates among adults with lower educational attainment. Future work should seek to corroborate our findings and also identify – and repair – breakdowns in mechanisms that should link Medicaid Expansion to reduced overdoses.
Serogroup B meningococcal disease (MenB) causes almost 60% of meningitis cases among adolescents and young adults. Yet, MenB vaccine coverage among adolescents remains below 10%. Since parents are the primary medical decision makers for adolescents, we examined MenB vaccination rates and parent attitudes about meningitis and the MenB vaccine. In 2018, in conjunction with a county-wide, school-based immunization campaign, we conducted a mixed methods study among parents of 16- to 17-year-olds. We facilitated focus groups asking parents about their knowledge of meningitis and reactions to educational materials and sent behavioral surveys based on Health Belief Model constructs to parents through the county high school system. Parents in three focus groups (n = 8; participation rate = 13%) expressed confusion about their child’s need to receive the MenB vaccine in addition to the meningococcal conjugate vaccine (MenACWY), but conveyed strong trust in their physicians’ recommendation. Among survey participants (n = 170), 70 (41%) had heard of the MenB vaccine. Among those 70 parents, the most common barriers to vaccination were concerns about side effects (55%) and uncertainty of susceptibility due to receipt of the MenACWY vaccine (30%). The percentage of teens that received at least one dose of the MenB vaccine was 50% (n = 35) by parent report and 23% (n = 16) by state vaccination records. Parents demonstrated uncertainty and confusion about the MenB vaccine particularly due to the existence of another meningitis vaccine and limited health care provider recommendations. Confirmatory studies of parent confusion about the MenB vaccine are needed to develop interventions.
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.
Background: Adverse Childhood Experiences (ACEs) are potentially traumatic childhood events associated with negative health outcomes. Limited data on ACEs exists from low- and middle-income countries (LMICs). No ACEs studies have been done in Honduras. Objective: This study assessed the prevalence of ACEs in Honduras and associated health risks and risk behaviors among young adults. Participants and setting: Data from the 2017 Honduras Violence Against Children and Youth Survey (VACS) were used. Analyses were restricted to participants ages 18−24 years (n = 2701). Methods: This study uses nationally representative VACS data to estimate the weighted prevalence of ACEs (physical, emotional, and sexual violence; witnessing violence; parental migration). Logistic regression analyses assessed the relationship between individual ACEs, cumulative ACEs, and health risks and risk behaviors (psychological distress; suicide ideation or self-harm; binge drinking; smoking; drug use; STIs; early pregnancy). Chi-square tests examined differences by sex. Results: An estimated 77 % of 18−24 year olds in Honduras experienced at least 1 ACE and 39 % experienced 3+ ACEs. Women experienced significantly more sexual, emotional, and physical violence compared to men. Compared to youth with no ACEs, those with 1−2 ACEs and 3+ ACEs had 1.8 and 2.8 increased odds for psychological distress, 2.3 and 6.4 increased odds for suicidal ideation and self-harm, and 1.7 and 1.9 increased odds for smoking, respectively, adjusting for age, education, and food insecurity. Physical violence victimization and witnessing violence in the community were associated with increased odds of all health risks and risk behaviors. Conclusions: The high prevalence of ACEs and associated negative health risks and risk behaviors in this population support the need for prevention and early intervention for ACEs.
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.
Unemployment is a risk factor for suicide. Unemployment insurance is the primary policy tool in the United States for alleviating the burden of unemployment on individuals. Our objective was to estimate the effect of state unemployment insurance accessibility on suicide rates, and effect modification by sociodemographic factors and unemployment rate. We used quarterly data from all 50 U.S. states and Washington, DC from 2000 to 2015, for a total of 3264 state-quarter units of analysis. The exposure was the quarterly unemployment insurance recipiency rate, i.e. the percentage of unemployed persons who received unemployment insurance. The outcome was the state-quarterly suicide rate per 100,000 population. Linear regression models included state, year, and calendar quarter fixed effects, state time trends, and state-level economic covariates to account for state-specific time-varying confounding. We assessed effect modification by the state-level unemployment rate, educational attainment, age, gender, and race. Based on fully adjusted models, potential protective effects of higher unemployment insurance recipiency rates appear to be small and restricted to demographic groups at higher risk of suicide including men, non-Hispanic White Americans, and those 45–64 years of age. These groups also generally have higher UI recipiency rates, therefore differences in subgroup estimates may reflect variations in eligibility policies and accessibility of UI programs.
Background Social welfare policies such as the minimum wage can affect population health, though the impact may differ by the level of unemployment experienced by society at a given time. Methods We ran difference-in-differences models using monthly data from all 50 states and Washington, DC from 1990 to 2015. We used educational attainment to define treatment and control groups. The exposure was the difference between state and federal minimum wage in US2015, defined both by the date the state law became effective and lagged by 1 year. Models included state and year fixed effects, and additional state-level covariates to account for state-specific time-varying confounding. We assessed effect modification by the state-level unemployment rate, and estimated predicted suicide counts under different minimum wage scenarios. Results The effect of a US1 increase in the minimum wage ranged from a 3.4% decrease (95% CI 0.4 to 6.4) to a 5.9% decrease (95% CI 1.4 to 10.2) in the suicide rate among adults aged 18-64 years with a high school education or less. We detected significant effect modification by unemployment rate, with the largest effects of minimum wage on reducing suicides observed at higher unemployment levels. Conclusion Minimum wage increases appear to reduce the suicide rate among those with a high school education or less, and may reduce disparities between socioeconomic groups. Effects appear greatest during periods of high unemployment.
Purpose The U.S. federal Earned Income Tax Credit (EITC) is often considered the most effective antipoverty program for families in the U.S., leading to a variety of improved outcomes such as educational attainment, work incentives, economic activity, income, and health benefits for mothers, infants and children. State EITC supplements to the federal credit can significantly enhance the magnitude of this intervention. In this paper we advance EITC and health research by: 1) describing the diffusion of state EITC policies over 40 years, 2) presenting patterns in important EITC policy dimensions across space and time, and 3) disseminating a robust data set to advance future research by policy analysts and scientists. Methods We used current public health law research methods to systematically collect, conduct textual legal analysis, and numerically code all EITC legislative changes from 1980 through 2020 in the 50 states and Washington, D.C. Results First, the pattern of diffusion across states and time shows initial introductions during the 1990s in the Midwest, then spreading to the Northeast, with more recent expansions in the West and South. Second, differences by state and time of important policy dimensions are evident, including size of credit and refundability. Third, state EITC benefits vary considerably by household structure. Conclusion Continued research on health outcomes is warranted to capture the full range of potential beneficial effects of EITCs on family and child wellbeing. Lawyers and policy analysts can collaborate with epidemiologists and economists on other high-quality empirical studies to assess the many dimensions of policy and law that potentially affect the social determinants of health.