A Role for Health Systems in Addressing Chronic Absenteeism.

This Viewpoint highlights opportunities for US pediatric health systems to address chronic absenteeism using school attendance data and collaborations between school and health systems.

What Explains Inequalities in Telehealth Utilization Among North Carolina Medicaid Beneficiaries?

Background: Increased availability of telehealth can improve access to health care. However, there is evidence of persistent disparities in telehealth usage, as well as among people from minoritized racial and ethnic groups and rural residents. The objective of our work was to explore the degree to which disparities in telehealth use for behavioral health (BH) and musculoskeletal (MSK) related services during the COVID-19 pandemic are explained by observed beneficiary- and area-level characteristics. Methods: Using North Carolina Medicaid claims data of Medicaid beneficiaries with BH or MSK conditions, we apply nonlinear regression-based decomposition analysis-based models developed by Kitagawa, Oaxaca, and Blinder to determine which observed variables are associated with racial, ethnic, and rural inequalities in telehealth usage. Results: In the BH cohort, we found statistically significant differences in telehealth usage by race in the adult population, and by race, Hispanic ethnicity, and rurality in the pediatric population. In the MSK cohort, we found significant inequities by Hispanic ethnicity and rurality among adults, and by race and rurality among children. Inequalities in telehealth use between groups were small, ranging from 0.7 percentage points between urban and rural adults with MSK conditions to 3.8 percentage points between white adults and people of color among those with BH conditions. Overall, we found that racial and ethnic inequalities in telehealth use are not well explained by the observed variables in our data. Rural disparities in telehealth use are better explained by observed variables, particularly area-level broadband internet use. Conclusions: For inequalities between rural and urban residents, our analysis provides observational evidence that infrastructure such as broadband internet access is an important driver of differences in telehealth use. For racial and ethnic inequalities, the pathways may be more complex and difficult to measure, particularly when relying on administrative data sources in place of more detailed data on individual-level socioeconomic factors.

Building Equitable Mental Health Care for Latino Children: Perspectives from Providers and Communities.

BACKGROUND: The current pediatric mental health crisis has disproportionately impacted Latino youth in the United States (US), as demonstrated by their elevated risks of depression, substance use disorder, and anxiety. Despite this, research suggests Latino youth receive inequitable mental health services. OBJECTIVE: To understand best practices, challenges, and priorities in providing accessible and equitable mental health care for Latino youth from the perspectives of front-line mental health providers and Latino community members. METHODS: A bicultural, bilingual researcher conducted semi-structured interviews with 20 participants with expertise in Latino mental health. Topics included barriers and facilitators to mental health care access and cultural tailoring of treatment for Latino youth. Rapid qualitative analysis was used to identify themes. RESULTS: Four themes were identified: (1) Navigating immigration concerns and acculturation, practitioners should consider immigration-related concerns and be trained to address acculturation-related stressors respectfully; (2) Adapting to the cultural needs and strengths of the communities, cultural humility education can allow providers to engage with both the strengths and needs of Latino families; (3) Engaging Latino caregivers as partners, it is critical to engage with Latino caregivers' cultural perspectives on parenting and mental health collaboratively; and (4) Addressing systemic barriers to promote access, providers must recognize and attempt to alleviate the systemic barriers that limit families from seeking care. CONCLUSIONS: Participants identified several practical strategies to improve the provision of mental health services for Latino children. Future directions, policy and practice implications, and limitations are discussed.

Families Benefit After Utilization of a Clinic-Based Food Pantry Irrespective of Food Insecurity Experiences in a Pediatric Obesity Treatment Program.

PURPOSE: To evaluate the congruence between food insecurity screening outcome and clinic-based food pantry utilization and to examine caregiver reported comfort, motivation, and benefits of utilization. DESIGN: Mixed-methods study. SETTING: Academic pediatric obesity treatment clinic. SUBJECTS: Convenience sample of caregivers. INTERVENTION: Clinic-based food pantry offered irrespective of food insecurity screening outcome. MEASURES: Food insecurity screening (Hunger Vital Sign) and severity, self-rated caregiver health, willingness to disclose food insecurity and receive food, and food-related stress. ANALYSIS: Chi-square and t-tests were utilized to examine associations and descriptive analysis explored benefits. Rapid qualitative analysis was utilized to identify themes. RESULTS: Caregivers of 120 children were included (child mean age 11.8; 56.7% female, 67.6% Non-Hispanic Black), with 47 of 59 eligible completing follow-up surveys and 14 completing in-depth interviews. Approximately half (N = 30/59, 50.8%) of families utilizing the food pantry screened negative for food insecurity. Families utilizing the food pantry were more likely to report severe food insecurity (N = 23/59; 38.9%) compared to those declining (N = 3/61; 4.9%, P < .001). Caregivers accepting food were able to meet a child health goal (N = 30/47, 63.8%). Caregivers reported feeling comfortable receiving food (N = 13/14) and felt utilizing the food pantry led to consumption of healthier foods (N = 7/14). CONCLUSIONS: Families who screened both positive and negative for food insecurity utilized and benefited from a clinic-based food pantry. Clinics should consider strategies offering food resources to all families irrespective of screening outcome.

Caregiver Perspectives on Barriers and Facilitators to Timely Well-Child Visits for Black Infants.

OBJECTIVES: Missed infant well-child visits (WCV) result in lost opportunities for critical preventive care. Black infants consistently receive less WCV care than other racial groups. We sought to understand barriers and facilitators to timely infant WCV for Black families in the context of COVID-19. METHODS: We conducted 21 semi-structured interviews with caregivers of Medicaid-insured Black children aged 15- to 24-months who attended six or fewer of eight recommended well-child visits within the first 15 months of life. Interviews focused on WCV value, barriers, and facilitators. After developing our initial coding structure through rapid qualitative analysis, we inductively derived the final codebook and themes through line-by-line content analysis. RESULTS: Caregivers attended a mean of 3.53 of eight infant visits. Structural (e.g., transportation) and psychological (e.g., maternal depression) barriers delayed Black infant WCV. Families most frequently valued monitoring development and addressing concerns. Caregivers perceived visits as less urgent when infants seemed healthy or more recently avoided visits due to fears around COVID-19. Long waits and feeling rushed/dismissed were linked to WCV delays; positive provider relationships encouraged WCV attendance. Most caregivers reported reluctance to vaccinate. Vaccine hesitancy contributed to delayed infant WCV. CONCLUSIONS: Caregivers described several factors that impacted WCV attendance for Black infants. Persistent structural and psychological barriers are compounded by perceptions that caregiver time is not respected and by notable vaccine hesitancy. To address these barriers, well-care can meet Black families in their communities, better address caregiver wellbeing, more efficiently use caregiver and provider time, and cultivate partnerships with Black caregivers.

Mandates and Incentives to Support Social Needs Screening-Challenges and Opportunities.

This Viewpoint describes 3 potential challenges associated with implementing regulatory mandates and insurer incentives for health-related social needs screening and suggests opportunities for innovation and improvement.

Promoting Health for Latino Immigrant Families-A Call for Improved Systems and Policies.

This Viewpoint examines existing systems affecting Latino immigrant families' access to health care and offers potential policy solutions to promote the health and well-being of Latino immigrant families.

Investing in Child Health Through Alternative Payment Models: Lessons From North Carolina Integrated Care for Kids.

Pediatric value-based payment reform has been hindered by limited return on investment (ROI) for child-focused measures and the accrual of financial benefits to non-health care sectors. States participating in the federally-funded Integrated Care for Kids (InCK) models are required to design child-centered alternative payment models (APMs) for Medicaid-enrolled children. The North Carolina InCK pediatric APM launched in January 2023 and includes innovative measures focused on school readiness and social needs. We interviewed experts at NC Medicaid managed care organizations, NC Medicaid, and actuaries with pediatric value-based payment experience to assess the NC InCK APM design process and develop strategies for future child-focused value-based payment reform. Key principles emerging from conversations included: accounting for payer priorities and readiness to implement measures; impact of data uncertainty on investment in novel measures; misalignment of a short-term ROI framework with whole child health measures; and state levers like mandates and financial incentives to promote implementation.

Promoting Latinx health equity through community-engaged policy and practice reforms in North Carolina.

Introduction: The Latinx Advocacy Team & Interdisciplinary Network for COVID-19 (LATIN-19) is a unique multi-sector coalition formed early in the COVID-19 pandemic to address the multi-level health inequities faced by Latinx communities in North Carolina. Methods: We utilized the National Institute on Minority Health and Health Disparities (NIMHD) Research Framework to conduct a directed content analysis of 58 LATIN-19 meeting minutes from April 2020 through October 2021. Application of the NIMHD Research Framework facilitated a comprehensive assessment of complex and multidimensional barriers and interventions contributing to Latinx health while centering on community voices and perspectives. Results: Community interventions focused on reducing language barriers and increasing community-level access to social supports while policy interventions focused on increasing services to slow the spread of COVID-19. Discussion: Our study adds to the literature by identifying community-based strategies to ensure the power of communities is accounted for in policy reforms that affect Latinx health outcomes across the U.S. Multisector coalitions, such as LATIN-19, can enable the improved understanding of underlying barriers and embed community priorities into policy solutions to address health inequities.

Telehealth Utilization Among Adult Medicaid Beneficiaries in North Carolina with Behavioral Health Conditions During the COVID-19 Pandemic.

OBJECTIVE: We examined factors associated with telehealth utilization during COVID-19 among adult Medicaid beneficiaries with behavioral health conditions. DATA SOURCES AND STUDY SETTING: NC Medicaid 2019-2021 beneficiary and claims data. STUDY DESIGN: This retrospective cohort study examined and compared behavioral health service use pre-COVID-19 (03/01/2019 to 02/28/2020) and during COVID-19 (04/01/2020 to 03/31/2021). Telehealth users included those with at least one behavioral health visit via telehealth during COVID-19. Descriptive statistics were calculated for overall sample and by telehealth status. Multilevel modified Poisson generalized estimating equation examined associations between telehealth use and patient- and area-level characteristics. DATA COLLECTION/EXTRACTION METHODS: We identified individuals ages ≥ 21-64, diagnosed with a behavioral health condition, and had at least one behavioral-health specific visit before COVID-19. PRINCIPAL FINDINGS: Almost two-thirds of the cohort received behavioral health services during COVID-19, with half of these beneficiaries using telehealth. Non-telehealth users had steeper declines in service use from pre- to during COVID-19 compared to telehealth users. Beneficiaries identifying as Black, multiracial or other were significantly less likely to use telehealth (ARR = 0.86; 95% CI: (0.83, 0.89)); (ARR = 0.92; 95% CI: (0.87, 0.96)) compared to White beneficiaries. Those eligible for Medicaid through the blind/disabled programs and who qualified for a state-specific specialized behavioral health plan were more likely to use telehealth (17% and 20%, respectively). CONCLUSIONS: During the pandemic, telehealth facilitated continuity of care for beneficiaries with behavioral health conditions. Future research should aim to investigate how to reduce the digital divide and ensure equitable access to telehealth.

Analysis of North Carolina Medicaid Claims Data to Simulate a Pediatric Accountable Care Organization.

Importance: Despite momentum for pediatric value-based payment models, little is known about tailoring design elements to account for the unique needs and utilization patterns of children and young adults. Objective: To simulate attribution to a hypothetical pediatric accountable care organization (ACO) and describe baseline demographic characteristics, expenditures, and utilization patterns over the subsequent year. Design, Setting, and Participants: This retrospective cohort study used Medicaid claims data for children and young adults aged 1 to 20 years enrolled in North Carolina Medicaid at any time during 2017. Children and young adults receiving at least 50% of their primary care at a large academic medical center (AMC) in 2017 were attributed to the ACO. Data were analyzed from April 2020 to March 2021. Main Outcomes and Measures: Primary outcomes were total cost of care and care utilization during the 2018 performance year. Results: Among 930 266 children and young adults (377 233 children [40.6%] aged 6-12 years; 470 612 [50.6%] female) enrolled in Medicare in North Carolina in 2017, 27 290 children and young adults were attributed to the ACO. A total of 12 306 Black non-Hispanic children and young adults (45.1%), 6308 Hispanic or Latinx children and young adults (23.1%), and 6531 White non-Hispanic children and young adults (23.9%) were included. Most attributed individuals (23 133 individuals [84.7%]) had at least 1 claim in the performance year. The median (IQR) total cost of care in 2018 was $347 ($107-$1123); 272 individuals (1.0%) accounted for nearly half of total costs. Compared with children and young adults in the lowest-cost quartile, those in the highest-cost quartile were more likely to have complex medical conditions (399 individuals [6.9%] vs 3442 individuals [59.5%]) and to live farther from the AMC (median [IQR distance, 6.0 [4.6-20.3] miles vs 13.9 [4.6-30.9] miles). Total cost of care was accrued in home (43%), outpatient specialty (19%), inpatient (14%) and primary (8%) care. More than half of attributed children and young adults received care outside of the ACO; the median (IQR) cost for leaked care was $349 ($130-$1326). The costliest leaked encounters included inpatient, ancillary, and home health care, while the most frequently leaked encounters included behavioral health, emergency, and primary care. Conclusions and Relevance: This cohort study found that while most children attributed to the hypothetical Medicaid pediatric ACO lived locally with few health care encounters, a small group of children with medical complexity traveled long distances for care and used frequent and costly home-based and outpatient specialty care. Leaked care was substantial for all attributed children, with the cost of leaked care being higher than the total cost of care. These pediatric-specific clinical and utilization profiles have implications for future pediatric ACO design choices related to attribution, accounting for children with high costs, and strategies to address leaked care.

Quantifying Associations Between Child Health and Neighborhood Social Vulnerability: Does the Choice of Index Matter?

Importance: Policymakers have increasingly utilized place-based social disadvantage indices to quantify the impacts of place on health and inform equitable resource allocation. Indices vary in design, content, and purpose but are often used interchangeably, potentially resulting in differential assignments of relative disadvantage depending on index choice. Objective: To compare associations between three commonly used disadvantage indices (Social Vulnerability Index (SVI), Area Deprivation Index (ADI), and Child Opportunity Index (COI)) and two epidemiologically distinct child health outcomes-infant well-child check (WCC) attendance and adolescent obesity. Design: Cross-sectional analysis of Duke University Health System electronic health record (EHR) data from January 2014 to December 2019. Participants: Children ≤18 years of age with outpatient encounters between January 2014 and December 2019, and who were Durham County residents were eligible. WCC attendance was assessed for infants ages 0-15 months; obesity was assessed for children ages 11-17 years. Exposures: 2014 Social Vulnerability Index (SVI), 2015 Area Deprivation Index (ADI), and 2015 Child Opportunity Index (COI) 2.0. Main Outcomes: 1) Infant WCC attendance: attending less than the minimum recommended six WCCs in the first 15 months of life, and 2) Adolescent obesity: BMI ≥ the 95th percentile at both the most recent encounter and an encounter within the prior 9-36 months. Results: Of 10175 patients in the WCC cohort, 20% (n = 2073) had less than six WCCs. Of 14961 patients in the obesity cohort, 20% (n = 2933) had obesity. All three indices were associated with both WCCs (OR for SVI 1.10, 95% CI 1.08-1.12; OR for ADI 1.10, 95% CI 1.08-1.12; OR for COI 1.12, 95% CI 1.10-1.14) and obesity (OR for SVI 1.05, 95% CI 1.04-1.08; OR for ADI 1.08, 95% CI 1.06-1.10; OR for COI 1.07, 95% CI 1.05-1.08). Conclusions and relevance: Higher social disadvantage as defined by all three indices was similarly associated with both adolescent obesity and decreased infant WCC attendance. While the COI incorporates a broader set of child-specific variables, the SVI and ADI may often be just as suitable for pediatric research. Users should consider population and outcome characteristics when selecting an index.

Immigration Policy and the Health of Latina Mothers and Their Infants.

Restrictive immigration policies may adversely affect the health of Latina mothers and their infants. We hypothesized that undocumented Latina mothers and their US born children would have worse birth outcomes and healthcare utilization following the November 2016 election. We used a controlled interrupted time series to estimate the impact of the 2016 presidential election on low birth weight (LBW), preterm birth, maternal depression, well child visit attendance, cancelled visits, and emergency department (ED) visits among infants born to Latina mothers on emergency Medicaid, a proxy for undocumented immigration status. There was a 5.8% (95% CI: -0.99%, 12.5%) increase in LBW and 4.6% (95% CI: -1.8%, 10.9%) increase in preterm births immediately after the 2016 election compared to controls. While these findings were not statistically significant at p < 0.05, the majority of our data suggest worsened birth outcomes among undocumented Latina mothers after the election, consistent with larger prior studies. There was no difference in well child or ED visits. While restrictive policies may have contributed to worse birth outcomes among undocumented Latina mothers, our findings suggest that Latino families still attend infants' scheduled visits.

Ethnicity and trends in pediatric specialty care clinic attendance at an academic medical center in the rural southeastern US.

Following the 2016 US Presidential election, immigration enforcement became more aggressive, with variation by state and region depending on local policies and sentiment. Increases in enforcement created an environment of risk for decreased use of health care services among especially among Latino families. of Hispanic ethnicity and/or from Latin American origin (as a group subsequently referred to as Latino). For Latino children with chronic health conditions, avoidance of routine health care can result in significant negative health consequences such as disease progression, avoidable use of acute health care services, and overall increased costs of care. To investigate for changes in visit attendance during the periods before and since increased immigration enforcement, we extracted data on children followed by subspecialty clinics of one healthcare system in the US state of North Carolina during 2015-2019. For each patient, we calculated the proportion of cancelled visits and no-show visits out of all scheduled visits during the 2016-2019 follow-up period. We compared patient characteristics (at the 2015 baseline) according to whether they cancelled or did not show to any visits in subsequent years by clinic and patient factors, including ethnicity. Data were analyzed using multinomial logistic regression of attendance at each visit, including an interaction between visit year and patient ethnicity. Among 852 children 1 to 17 years of age (111 of Latino ethnicity), visit no-show was more common among Latino patients, compared to non-Latino White patients; while visit cancellation was more common among non-Latino White patients, compared to Latino patients. There was no significant interaction between ethnicity and trends in visit no-show or cancellation. Although differences in pediatric specialty clinic visit attendance by patient ethnicity were seen at study baseline, changing immigration policy and negative rhetoric did not appear to impact use of pediatric subspecialty care.

Food Insecurity Was Associated With Greater Family Health Care Expenditures In The US, 2016-17.

Food insecurity has been associated with the health care expenditures of individuals, but it can affect the entire family. Evaluating the relationship between food insecurity and family expenditures provides a better understanding of the financial implications of food insecurity interventions. Our primary objective was to evaluate the association between food insecurity in one year (2016) and family health care expenditures-for all members, for children only, and for adults only-in the next year (2017). We also evaluated whether this association varied across types of insurance coverage within families: all private, all public, or mixed (including uninsured). Using nationally representative data, we found that food-insecure families had 20 percent greater total health care expenditures than food-secure families, for an annual difference of $2,456. Food insecurity was associated with greater expenditures across all family insurance patterns, including the 19.1 percent of families with mixed coverage. Our findings suggest that in families with mixed coverage, positive impacts of food insecurity interventions on health care use may accrue to family members other than the targeted beneficiaries and those who have different insurance, benefiting the entire family but potentially discouraging investments on the part of any one payer.

Documentation Status and Self-Rated Physical Health Among Latinx Young Adult Immigrants: the Mediating Roles of Immigration and Healthcare Stress.

Previous research has demonstrated that undocumented Latinx immigrants in the USA report worse physical health outcomes than documented immigrants. Some studies suggest that immigration-related stress and healthcare related-stress may explain this relationship, but none have tested it empirically. The purpose of this study was to determine if immigration-related stress and healthcare-related stress in the USA explain the relationship between documentation status and physical health among Latinx immigrants in North Carolina. The conceptual model was tested utilizing baseline data from a longitudinal, observational, community-engaged research study of young adult (18-44 years) Latinx immigrants residing in North Carolina (N = 391). Structural equation modeling was used to determine relationships among documentation status, healthcare, and immigration stress in the past six months, and self-rated physical health. Goodness-of-fit measures indicated that data fit the model well (RMSEA = .008; CFI = 1.0; TLI = .999; SRMR = .02; CD = .157). Undocumented individuals were more likely to experience immigration stress than their documented counterparts ([Formula: see text] = - 0.37, p < 0.001). Both immigration stress ([Formula: see text] = - 0.22, p < 0.01) and healthcare stress ([Formula: see text] = - 0.14, p < 0.05) were negatively related to physical health. Additionally, immigration stress was positively related to healthcare stress ([Formula: see text] = 0.72, p < 0.001). Results demonstrate that documentation status is an important social determinant of health. Passage of inclusive immigration and healthcare policies may lessen the stress experienced by Latinx immigrants and subsequently improve physical health.

Cross-Sector Intervention Strategies to Target Childhood Food Insecurity in North Carolina.

BACKGROUND: Childhood food insecurity increased considerably during the COVID-19 pandemic and is associated with compromised health. Health care systems are increasingly prioritizing food insecurity interventions to improve health, but it is unclear how health systems collaborate with other sectors that are addressing food insecurity. In this study, we aimed to evaluate existing collaborations and explore opportunities for further cross-sector engagement. METHODS: From December 2020 to March 2021, we conducted semi-structured interviews (N = 34) with informants involved in increasing child food access in North Carolina. Our informants represented different sectors, including community (e.g., food pantry), education (e.g., school lunch program), and government (e.g., Supplemental Nutrition Assistance Program). Rapid qualitative analysis was used to interpret the results and identify themes. RESULTS: Informants rarely mentioned the health care sector as a source of referrals or as a collaborator. Barriers limiting access to food insecurity programs were exacerbated by the COVID-19 pandemic, including lack of transportation, stigma deterring use, limited food choice, and burdensome enrollment processes. Stakeholders recommended mitigating barriers through the expansion of food delivery, colocalization of assistance programs in schools and health care settings, increased food choice, and supporting cross-program enrollment mechanisms. LIMITATIONS: The majority of the stakeholders represented programs from five counties in central North Carolina, with only a few representing statewide initiatives. CONCLUSIONS: The COVID-19 pandemic both highlighted the fragmented system of food insecurity organizations and accelerated development of cross-sector collaborations to reduce access barriers. Health care systems are siloed from school and community efforts but have the opportunity to leverage ongoing innovative policy initiatives to construct novel cross-sector models. Such models can better link food insecurity screening with community-based solutions to address family-level food access barriers.

Assessment of Population-Level Disadvantage Indices to Inform Equitable Health Policy.

Policy Points The rapid uptake of disadvantage indices during the pandemic highlights investment in implementing tools that address health equity to inform policy. Existing indices differ in their design, including data elements, social determinants of health domains, and geographic unit of analysis. These differences can lead to stark discrepancies in place-based social risk scores depending on the index utilized. Disadvantage indices are useful tools for identifying geographic patterns of social risk; however, indiscriminate use of indices can have varied policy implications and unintentionally worsen equity. Implementers should consider which indices are suitable for specific communities, objectives, potential interventions, and outcomes of interest. CONTEXT: There has been unprecedented uptake of disadvantage indices such as the Centers for Disease Control and Prevention Social Vulnerability Index (SVI) to identify place-based patterns of social risk and guide equitable health policy during the COVID-19 pandemic. However, limited evidence around data elements, interoperability, and implementation leaves unanswered questions regarding the utility of indices to prioritize health equity. METHODS: We identified disadvantage indices that were (a) used three or more times from 2018 to 2021, (b) designed using national-level data, and (c) available at the census-tract or block-group level. We used a network visualization to compare social determinants of health (SDOH) domains across indices. We then used geospatial analyses to compare disadvantage profiles across indices and geographic areas. FINDINGS: We identified 14 indices. All incorporated data from public sources, with half using only American Community Survey data (n = 7) and the other half combining multiple sources (n = 7). Indices differed in geographic granularity, with county level (n = 5) and census-tract level (n = 5) being the most common. Most states used the SVI during the pandemic. The SVI, the Area Deprivation Index (ADI), the COVID-19 Community Vulnerability Index (CCVI), and the Child Opportunity Index (COI) met criteria for further analysis. Selected indices shared five indicators (income, poverty, English proficiency, no high school diploma, unemployment) but varied in other metrics and construction method. While mapping of social risk scores in Durham County, North Carolina; Cook County, Illinois; and Orleans Parish, Louisiana, showed differing patterns within the same locations depending on choice of disadvantage index, risk scores across indices showed moderate to high correlation (rs 0.7-1). However, spatial autocorrelation analyses revealed clustering, with discrepant distributions of social risk scores between different indices. CONCLUSIONS: Existing disadvantage indices use varied metrics to represent place-based social risk. Within the same geographic area, different indices can provide differences in social risk values and interpretations, potentially leading to varied public health or policy responses.

Association between parenthood and cardiovascular disease risk: Analysis from NHANES 2011-2016.

The objective of this study was to examine the association between parenthood and cardiovascular disease (CVD) risk factors among a nationally representative sample of United States adults. A cross sectional analysis was conducted with adults aged 20-59 years from the National Health and Nutrition Examination Survey 2011-2016. Adults were classified as parents and non-parents based on the presence of children birth-17 years in the home. CVD risk factors assessed included: physical inactivity, obesity, blood pressure, HDL cholesterol, glycohemoglobin, and smoking status. Multivariable logistic regression models stratified by sex were used to examine the association between parenthood and each risk factor. 10,908 adults (5,329 [49%] male, weighted mean age 39.6 years) were included. In adjusted analyses, fathers had greater odds of obesity (OR: 1.22; 95% CI: 1.04-1.42) and lower odds of being a current smoker (OR: 0.82; 95% CI: 0.68-0.98) compared to non-fathers. Mothers had greater odds of physical inactivity (OR: 1.27; 95% CI: 1.03-1.56) and low HDL cholesterol (OR: 1.24; 95% CI: 1.06-1.45), and lower odds of being a current smoker (OR: 0.78; 95% CI: 0.63-0.96) compared to non-mothers. Parents with younger children in the household tended to have greater odds of CVD risk factors compared to non-parents. No clear patterns emerged in CVD factor risk based on the number of children in the household. Parents are at greater risk for several modifiable CVD risk factors. This illustrates the importance of including parental health promotion in settings that serve children and implementing policies that support parental health and wellbeing.