Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality.

Importance: Area-based measures of social risk are increasingly being used in policy applications in the US. While several have been demonstrated to be predictive of health and mortality in the general population, there is a need to identify area-based measures that are most reliable for policy applications, including measures that are associated with health and mortality consistently across subpopulations.

Objective: To compare the relative strength with which area and individual social risk measures are correlated with health outcomes and mortality, and the extent to which these associations are consistent across race, ethnicity, rurality, age, and gender.

Race and Ethnicity Data in the Electronic Health Records: New Insights Through Comparison with American Community Survey Microdata.

The collection of race and ethnicity information varies across data sources which impacts our ability to conduct high quality research focused on population health, generally, and racial and ethnic disparities in health, specifically. This research examines concordance in racial/ethnic identification between two sources by linking individual-level electronic health record (EHR) data (2017-2019) from a public integrated health delivery system in North Carolina to American Community Survey (ACS) microdata (2001-2017). We find that concordance is high for individuals who identify as non-Hispanic Black, non-Hispanic White, and Hispanic but considerably lower for other non-White, non-Hispanic individuals, particularly for American Indian and Alaska Native patients.

Linking national primary care electronic health records to individual records from the U.S. Census Bureau's American Community Survey: evaluating the likelihood of linkage based on patient health.

Objectives: To evaluate the likelihood of linking electronic health records (EHRs) to restricted individual-level American Community Survey (ACS) data based on patient health condition.

Materials And Methods: Electronic health records (2019-2021) are derived from a primary care registry collected by the American Board of Family Medicine. These data were assigned anonymized person-level identifiers (Protected Identification Keys [PIKs]) at the U.

Assessing Electronic Health Records for Describing Racial and Ethnic Health Disparities: A Research Note.

The use of data derived from electronic health records (EHRs) to describe racial and ethnic health disparities is increasingly common, but there are challenges. While the number of patients covered by EHRs can be quite large, such patients may not be representative of a source population. One way to evaluate the extent of this limitation is by linking EHRs to an external source, in this case with the American Community Survey (ACS).

Family Socioeconomic Status and Children's Screen Time.

Objective: This mixed-methods study examined whether higher-SES children's digital technology use adhered to contemporaneous pediatric guidelines, how it compared to lower-SES children, and why, as analyses showed, higher-SES children's technology use far exceeded pediatric recommendations.

Background: 2013 American Academy of Pediatrics (AAP) guidelines recommended limited "screen time" for children. Higher socioeconomic status (SES) families tend to follow guidelines, but digital technology use-simultaneously a health behavior and a pathway for building human capital-has complex implications.

Mothers' Sexual Identity and Children's Health.

Sexual minority women face a plethora of structural, socioeconomic, and interpersonal disadvantages and stressors. Research has established negative associations between women's sexual minority identities and both their own health and their infants' birth outcomes. Yet a separate body of scholarship has documented similarities in the development and well-being of children living with same-sex couples relative to those living with similarly situated different-sex couples.

State-Level Regulations Regarding the Protection of Sexual Minorities and Birth Outcomes: Results From a Population-Based Cohort Study.

Objective: We leverage state-level variability in social policies that confer legal protections for sexual minorities (e.g., employment nondiscrimination acts) and examine their association with birth outcomes among sexual minority women.

Structural Heteropatriarchy and Birth Outcomes in the United States.

Emerging evidence links structural sexism and structural discrimination against lesbian, gay, and bisexual (LGB) populations to poor health outcomes, but studies have yet to examine the combined effects of these mutually reinforcing systems of inequality. Therefore, we developed a composite measure of structural heteropatriarchy-which includes state-level LGB policies, family planning policies, and indicators of structural sexism (e.g.

Racial/Ethnic Differences in Unwanted Pregnancy: Moderation by Sexual Orientation.

Objective: To explore sexual orientation disparities in unwanted pregnancy by race/ethnicity.

Background: Previous research has documented that sexual-minority women (SMW) are more likely to report unplanned pregnancy than heterosexual women, and that Black and Latina women are more likely to report unplanned pregnancy than White women. No research has examined how pregnancy intention varies at the intersection of these two identities.

Sexual Identity and Birth Outcomes: A Focus on the Moderating Role of Race-ethnicity.

Race-ethnic disparities in birth outcomes are well established, and new research suggests that there may also be important sexual identity disparities in birth weight and preterm birth. This study uses the National Longitudinal Study of Adolescent to Adult Health and is the first to examine disparities in birth outcomes at the intersection of race-ethnicity and sexual identity. We use ordinary least sqaures and logistic regression models with live births (n = 10,318) as the unit of analysis clustered on mother ID (n = 5,105), allowing us to adjust for preconception and pregnancy-specific perinatal risk factors as well as neighborhood characteristics.

Sexual Orientation Disparities in Preconception Health.

In the United States, there have been very few improvements in adverse birth outcomes, such as infant mortality, low birthweight, and preterm birth in recent years. Health promotion before pregnancy (, preconception care) has been increasingly recognized as an important strategy by which to improve these reproductive outcomes. As of yet, no research has examined sexual orientation disparities in preconception health which has important implications for birth outcomes in the United States, since sexual minority women (SMW) are more likely to report stillbirths, low birthweight, and preterm infants than heterosexual women.