Income is not an equalizer: health development inequities by ethnoracial backgrounds in California kindergartners.

BACKGROUND: Early childhood health development is positively associated with income, but the strength of this relationship with ethnoracial background remains unclear. This study examined the extent of health development inequities among California kindergarteners based on ethnoracial backgrounds and neighborhood-level income. METHODS: This cross-sectional study assessed health development inequities by analyzing neighborhood-level income, ethnoracial background, and health development data for California kindergarteners. Student-level data (n = 106,574) were collected through teacher report between 2010-2020 across 52 school districts and 964 schools. Student addresses were geocoded and linked to American Community Survey neighborhood income levels. Health development was measured using the Early Development Instrument, a population-level measure which includes physical health and well-being, social competence, emotional maturity, language and cognitive development, and communication skills and general knowledge domains. Outcomes included being "on-track" in each domain as well as overall health development. RESULTS: Using a Generalized Estimation Equation with a log-link function, while accounting for interactions between ethnoracial background, income, and income-squared, we found significant health development inequities by ethnoracial background and neighborhood-level income. Regarding overall health development, as well as the physical, social and emotional domains, Black students had a lower likelihood of being on-track compared to the weighted average across income levels, whereas Asian students surpassed the weighted average. White students exhibited the steepest slope, and at the lowest income levels, their health development scores were akin to their Black and Hispanic/Latino/a low-income counterparts but resembled their Asian counterparts at higher income levels. For the general knowledge and communication domain, white students consistently had the highest likelihood of being on-track, while Hispanic/Latino/a students had the lowest likelihood across all income levels. CONCLUSION: This study examines health development inequities among California kindergarteners in diverse communities. Our analysis shows that the relationship between neighborhood-level income and kindergartners' health development varies by domain and is weaker for students of color. Given the scarcity of population-level data on health development outcomes, these analyses offer valuable insights for identifying ecosystems necessitating support in promoting equitable early childhood health development.

The Kindergarten Early Development Instrument Predicts Third Grade Academic Proficiency.

School readiness skills predict later educational achievement, health, and social-emotional outcomes. Measures of school readiness can provide valuable information to assess both the impact of strategies and policies that prepare children for school as well as informing strategies for improving children's educational trajectories across their school years. The Early Development Instrument (EDI) is a measure of school readiness skills based on teacher-reported observational recall. It has been used extensively in Canada and Australia and is in the early stages of adoption in a number of U.S. cities. The current study uses data from roughly 3,000 children followed longitudinally from kindergarten through third grade from 7 school districts in Orange County, California. The study assesses whether EDI ratings in kindergarten predict third grade proficiency in mathematics and English Language Arts on state assessments. Ratings on the EDI were strongly associated with proficiency in both academic areas, even in the presence of controls for child-level factors and neighborhood fixed effects. Among its components, ratings on the language and cognitive development, communication skills and general knowledge, and social competence domains strongly differentiated children's likelihood of later proficiency in both academic areas. Implications for improving comprehensive early childhood education and schooling policies based on indicators of school readiness are discussed.

Early Child Development, Residential Crowding, and Commute Time in 8 US States, 2010-2017.

OBJECTIVES: To examine relationships of residential crowding and commute time with early child development. METHODS: We used the Early Development Instrument (EDI), a teacher-reported, population-health measure of child development. The sample included child-level observations spanning 8 US states from 2010 to 2017 (n = 185 012), aggregated to the census tract (n= 2793), stratified by percentage of households in poverty. To test the association of commute times, crowding, and child development, we tested overall readiness and 5 EDI domains by using adjusted census tract-level multivariate regression with fixed effects. RESULTS: In the full sample, a 1-standard-deviation increase in crowding was associated with 0.064- and 0.084-point decreases in mean score for cognitive development and communication skills, respectively. For the high-poverty subsample, a 1-standard deviation increase in commute time was associated with 0.081- and 0.066-point decreases in social competence and emotional maturity. CONCLUSIONS: In neighborhoods with increased crowding or commute time, early child development suffers. POLICY IMPLICATIONS: This study suggests a potential relationship between the changing urban landscape and child health. Children would benefit from more multisector collaboration between urban planning and public health.

Exploration of spatial patterns of congenital anomalies in Los Angeles County using the vital statistics birth master file.

Research has shown linkages between environmental exposures and population health metrics such as low birth weight and incidence of congenital anomalies. While the exact causal relationship between specific environmental teratogens and suspected corresponding congenital anomalies has largely not been established, spatial analysis of anomaly incidence can identify potential locations of increased risk. This study uses the Vital Statistics Birth Master File to map and analyze the rates of congenital anomalies of births from non-smoking mothers 15-35 years old within Los Angeles County. Hot spot analysis shows that the distribution of congenital anomalies is not randomly distributed throughout the county and identified the Antelope Valley and San Gabriel Foothills as two areas with elevated incidence rates. These results are not explained by potential confounders such as maternal age, race, smoking status, or socioeconomic status and seem to correlate well with the concentration of atmospheric ozone. This approach demonstrates the value of using spatial techniques to inform future research efforts and the need to establish and maintain a comprehensive reproductive health surveillance system.

Unveiling early childhood health inequities by age five through the national neighborhood equity index and the early development instrument.

There is growing public urgency to close equity gaps in health and development by addressing inequities at multiple levels of children's developmental ecosystems. Current measurement strategies obscure the dynamic structural and relational patterns of oppression, adversity, and disadvantage that children can experience in their local intimate developmental ecosystem, as well as the leverage points that are necessary to change them. The purpose of this study is to examine the relationship between a universally available measure of neighborhood socio-economic context, the National Neighborhood Equity Index (NNEI), and a population measure of early child development and well-being, the Early Development Instrument (EDI). Data from a convenience sample of 144,957 kindergarteners in neighborhoods across the US demonstrate that children living in neighborhoods with more equity barriers are more likely to be on vulnerable developmental trajectories than those who reside in neighborhoods without any equity barriers. A multi-dimensional measurement approach that incorporates both the EDI and the NNEI can be used to quantify ethnoracialized patterns of structural disadvantage during critical periods of health development. These measures can inform community action to intervene early in the lifecourse to optimize children's health development trajectories at a population level.

Feasibility and Acceptability of Mobile Phone Self-monitoring and Automated Feedback to Enhance Telephone Coaching for People With Risky Substance Use: The QUIT-Mobile Pilot Study.

OBJECTIVES: This study evaluates the feasibility, acceptability, and perceived benefits of mobile-phone delivered self-monitoring queries and feedback integrated into the evidence-based Quit Using Drugs Intervention Trial (QUIT) screening and brief telephone health coaching intervention to prevent progression from risky drug use to addiction as the QUIT-Mobile intervention. METHODS: Participants (n = 20) were primarily Black/African American and Latino men in Los Angeles with risky substance use. Self-monitoring surveys were sent by text-message twice-weekly for 6 weeks and once-weekly from 6 to 12-weeks. Surveys consisted of 10 questions regarding drug and alcohol use (ie, # days of use) and cravings, quality of life, and medication adherence. Feedback messages praised or encouraged drug use reductions. Coaches monitored patient responses and discussed them in QUIT's telephone coaching sessions. Participants' experiences were assessed qualitatively at 3-month follow-up. RESULTS: Nineteen out of 20 participants that completed the qualitative evaluation from the 12-week follow-up reported: (1) self-monitoring surveys helped them adhere to drug use reduction goals and reflect on associations between self-monitoring domains; (2) preference for higher frequency (twice-weekly) self-monitoring during the 6-week coaching period, and then weekly surveys thereafter but not monthly; and (3) self-monitoring and coaching were mutually reinforcing for their drug use reduction goals. CONCLUSIONS: Results are consistent with prior similar research suggesting that mobile phone self-monitoring of drug use and related factors is feasible and acceptable among diverse adults with risky drug use. Findings also suggest the potential benefits of integrating electronic self-monitoring and feedback into substance use reduction interventions such as QUIT to enhance patient self-management and coaching or counseling intervention components.

Measuring Equity From The Start: Disparities In The Health Development Of US Kindergartners.

Racialized disparities in health and well-being begin early in life and influence lifelong health outcomes. Using the Early Development Instrument-a population-level early childhood health measure-this article examines potential health inequities with regard to neighborhood income and race/ethnicity in a convenience sample of 183,717 kindergartners in ninety-eight US school districts from 2010 to 2017. Our findings demonstrate a distinct income-related outcome gradient. Thirty percent of children in the lowest-income neighborhoods were vulnerable in one or more domains of health development, compared with 17 percent of children in higher-income settings. Significantly higher rates of income-related Early Development Instrument vulnerability-defined as children falling below the tenth-percentile cutoff on any Early Development Instrument domain-were demonstrated for Black/African American and Hispanic/Latinx children. These findings underscore the utility of the Early Development Instrument as a way for communities to measure child health equity gaps and inform the design, implementation, and performance of multisector place-based child health initiatives. More broadly, results indicate that for the US to make significant headway in decreasing lifelong health inequities, it is important to achieve health equity by early childhood.