Supporting Stabilization: A Qualitative Evaluation of a Pilot Program to Integrate Personal Caregiving Services Into Housing Settings.

Three organizations in Clark County, WA, partnered together to implement a pilot program to expand access to personal caregiving services in the homeless crisis response system. The aim of this study is to describe staff and clients' experiences of the program and its impact on clients' daily living activities, health and wellbeing, and housing stability. Using a qualitative descriptive design, semi-structured, in-depth interviews were conducted with 12 clients and 5 pilot staff, representing 4 housing service providers. Interviews were analyzed descriptively to examine staff and clients' perspectives and experiences with the personal care services pilot program. Caregivers helped clients establish routines, find companionship, and connect to health and social services both logistically and socioemotionally, supporting clients' stabilization and reducing barriers to healthcare. Hiring and retaining caregivers remained difficult due to the challenging nature of the work. Staff interviews highlight the need for additional supports to better retain caregivers. Findings from the evaluation have important implications for addressing the needs of individuals exiting homelessness and suggest that personal caregivers can play an important role in supporting the stabilization process. However, employing strategies such as training and increasing wages and benefits that support the needs of the caregiving workforce is essential to sustain this type of service delivery model.

Mammogram perceptions, communication, and gaps in care among individuals with non-English language preference in Oregon and Washington states.

This study examined perceptions of and communication about mammography as drivers of gaps in screening among individuals with non-English language preference (NELP). A survey was fielded in fall 2021 in five languages (Cantonese, English, Russian, Spanish, or Vietnamese) to individuals identified using electronic medical records in Oregon and Washington. The analytic sample consisted of 420 respondents with a median age of 61; approximately 45% of respondents identified as Asian, 37% as Hispanic, Latino, or Spanish origin, and 18% as some other race, ethnicity, or origin. Logistic regression models examined associations between screening and perception and communication items. Individuals who believed mammograms are unnecessary when healthy (aRR = 0.72 [0.57, 0.91]) or absent symptoms (aRR = 0.85 [0.72, 1.00]) were less likely to report a mammogram within the past two years (i.e., be current). Having a provider recommend (aRR = 1.27 [1.09, 1.47]) and discuss mammography (aRR = 1.18 [1.05, 1.32]) were associated with a higher likelihood of being current. Few respondents received written or verbal information in their preferred language (35% and 28.3%, respectively). Financial and logistical support, including language services were most frequently identified as types of support needed to obtain a mammogram. Overall, misperceptions about mammography may act as a barrier but communication may act as a facilitator for individuals with NELP. Provider-patient communication could be an effective way to encourage mammography. Culturally-responsive health promotion materials and provider communication, available in patients' preferred language, are needed to combat misperceptions and support ongoing, on-time mammography for NELP patients.

Participant Perspectives on Community Health Workers' Critical Role in Their Experience of the Pathways Program to Address Complex Needs.

This study aimed to describe participants' experiences of Pathways, a community hub care coordination model, including its impact on their lives and their relationship with the Pathways community health worker (CHW). The research team conducted semistructured, in-depth interviews with Pathways participants (n = 13) and analyzed interviews using thematic analysis. Interviews reveal how Pathways helps individuals navigate systems more confidently, increases access to needed resources, and improves well-being. CHWs defined participants' experience, providing a safe, reliable setting to make progress toward goals. Our findings support the evidence base for Pathways as an effective model of care coordination for people with complex needs.

Impact of oral health integration training on children's receipt of oral assessment, fluoride varnish and dental services.

OBJECTIVES: To evaluate the impact of an oral health integration training program on children's receipt of oral health and dental services in Southern Oregon. METHODS: Children under 19 years with at least 6 months of Medicaid enrolment and at least one healthcare visit from 2014 to 2018 were included. The treatment group included children with at least one visit with a trained provider (n = 5541); children with no visits with trained providers (n = 8273) were the control group. The percentage of the treatment group who received oral health assessments was calculated, and regression models were developed to estimate the difference in likelihood of receiving fluoride varnish and dental services between treatment and control groups. RESULTS: The percentage of children receiving oral health assessments increased over time. Visiting a trained provider was consistently associated, each year, with a greater likelihood of receipt of fluoride varnish and preventive and diagnostic dental services but was not associated with treatment dental services or dental sealants. CONCLUSIONS: This study reports evidence for the overall impact of an oral health integration training on children's receipt of oral and dental services. Health systems implementing these types of training strategies should consider how to reach specific underserved subgroups, increase paediatric dentists, and expand efforts to include older children.

Social and Behavioral Pathways between Adverse Childhood Experiences and Poor Adult Physical Health: Mediation by Early Adulthood Experiences in a Low-Income Population.

Adverse childhood experiences (ACEs) increase the risk of poor health and wellbeing in adulthood. In this study, we tested whether experiences in early adulthood-intimate partner violence (IPV), substance use, social isolation, and work instability-mediate the relationship between ACEs and poor physical health in later adulthood. Using data from a large-scale survey of Medicaid enrollees in the Portland metropolitan area, four separate mediation models were constructed to assess the indirect effects of each early adulthood experience and the proportion of the total effect on physical health accounted for by the pathway. Experiencing four or more ACEs increased the risk of poor adult physical health by 50% (RR 1.50). Considered in separate models, mediation by IPV accounted for 14.4% of the total effect; substance use mediated a similar proportion (14.0%). Social isolation was a less substantial mediator (7.6%). Work instability did not mediate the relationship between ACEs and adult physical health in our population. These findings provide evidence that IPV, substance use, and social isolation in early adulthood are part of the pathway between high ACEs and poor adult physical health. Intervening to prevent negative early adult experiences may mitigate some of the long-term effects of childhood trauma on health.

Associations between Adverse Childhood Experiences and Emergency Department Utilization in an Adult Medicaid Population.

Adverse childhood experiences (ACEs) are widely prevalent but unevenly distributed in the United States, with disadvantaged groups, especially those with low socioeconomic status, being more likely to experience them. ACEs have been linked to poor health outcomes in adulthood. In this study, we examined the association between ACEs and emergency department (ED) utilization using a cross-sectional life-course survey of low-income adults matched to Medicaid enrollment and claims data. Surveys were obtained from 2348 Medicaid-enrolled adults in the Portland, OR metropolitan area; 1133 were used in this analysis. We used a two-part regression model to estimate the association between ACE score and both ever using the ED and frequency of ED use in the year after survey completion. We also evaluated a set of potentially protective factors to see if they impacted the relationship between ED use and ACE score. We found that participants with a higher ACE score were more likely to obtain any emergency services care (odds ratio (OR) = 1.11, p = 0.011), but ACE score did not predict how frequently they would utilize those services. Close social relationships were found to be protective against high ED utilization for those with high ACE scores. Upstream prevention efforts that identify places to intervene in childhood and incorporate trauma-informed strategies into ED care in adulthood have the potential to decrease ED use.

The Role of Community Health Workers in Developing Multidimensional Organizational Relationships.

Effective care coordination relies on organizations working collaboratively to meet medically and socially complex participants' needs. This study examines community health workers' (CHWs') roles in developing the organizational relationships on which care coordination efforts depend. Semistructured interviews (n = 13) were conducted with CHWs, CHWs' supervisors, and executive staff at organizations participating in a Washington State care coordination program. Interviewees described how CHWs developed and furthered multidimensional relationships in service of participants between and within participating organizations, as well as external organizations. Relationship-building challenges included COVID-19, geographic context, and staffing. The study concludes with considerations for care coordination efforts to support CHWs.

Differences in access to virtual and in-person primary care by race/ethnicity and community social vulnerability among adults diagnosed with COVID-19 in a large, multi-state health system.

BACKGROUND: Research exploring telehealth expansion during the COVID-19 pandemic has demonstrated that groups disproportionately impacted by COVID-19 also experience worse access to telehealth. However, this research has been cross-sectional or short in duration; geographically limited; has not accounted for pre-existing access disparities; and has not examined COVID-19 patients. We examined virtual primary care use by race/ethnicity and community social vulnerability among adults diagnosed with COVID-19 in a large, multi-state health system. We also assessed use of in-person primary care to understand whether disparities in virtual access may have been offset by improved in-person access. METHODS: Using a cohort design, electronic health records, and Centers for Disease Control and Prevention Social Vulnerability Index, we compared changes in virtual and in-person primary care use by race/ethnicity and community social vulnerability in the year before and after COVID-19 diagnosis. Our study population included 11,326 adult patients diagnosed with COVID-19 between March and July 2020. We estimated logistic regression models to examine likelihood of primary care use. In all regression models we computed robust standard errors; in adjusted models we controlled for demographic and health characteristics of patients. RESULTS: In a patient population of primarily Hispanic/Latino and non-Hispanic White individuals, and in which over half lived in socially vulnerable areas, likelihood of virtual primary care use increased from the year before to the year after COVID-19 diagnosis (3.6 to 10.3%); while in-person use remained stable (21.0 to 20.7%). In unadjusted and adjusted regression models, compared with White patients, Hispanic/Latino and other race/ethnicity patients were significantly less likely to use virtual care before and after COVID-19 diagnosis; Hispanic/Latino, Native Hawaiian/Pacific Islander, and other race/ethnicity patients, and patients living in socially vulnerable areas were also significantly less likely to use in-person care during these time periods. CONCLUSIONS: Newly expanded virtual primary care has not equitably benefited individuals from racialized groups diagnosed with COVID-19, and virtual access disparities have not been offset by improved in-person access. Health systems should employ evidence-based strategies to equitably provide care, including representative provider networks; targeted, empowering outreach; co-developed culturally and linguistically appropriate tools and technologies; and provision of enabling resources and services.

Differences in Outpatient Health Care Utilization 12 Months after COVID-19 Infection by Race/Ethnicity and Community Social Vulnerability.

Ensuring access to high-quality outpatient care is an important strategy to improve COVID-19 outcomes, reduce social inequities, and prevent potentially expensive complications of disease. This study assesses the equity of health care response to COVID-19 by examining outpatient care utilization by factors at the individual and community levels in the 12 months prior to and following COVID-19 diagnosis. Employing a retrospective, observational cohort design, we analyzed electronic health record data from a sample of 11,326 adults diagnosed with COVID-19 between March and July 2020. We used two-part models to estimate changes in use of primary and specialty care by race/ethnicity and community social vulnerability in the year before and after COVID-19 diagnosis. Our findings showed that while overall probability and counts of primary and specialty care visits increased following a positive COVID-19 diagnosis, disparities in care utilization by race/ethnicity and living in a socially vulnerable community persisted in the year that followed. These findings reiterate the need for strategic approaches to improve access to and utilization of care among those diagnosed with COVID-19, especially for individuals who are traditionally undeserved by the health system. Our findings also highlight the importance of systematic approaches for addressing social inequity in health care.

Local Housing Choice Voucher Distribution Policies Impact Healthcare Utilization: a Randomized Natural Experiment.

While associations between obtaining affordable housing and improved health care are well documented, insufficient funding often forces housing authorities to prioritize limited housing vouchers to specific populations. We assessed the impact of obtaining housing on health care utilization at two urban housing authorities with different distribution policies: Housing Authority A prioritized seniors and people with disabilities, while Housing Authority B prioritized medically complex individuals and families with school-aged children. Both housing authorities used random selection to distribute vouchers, allowing us to conduct a randomized natural experiment of cases and waitlisted controls. No significant demographic differences were present between those receiving vouchers and waitlisted controls. Housing Authority A vouchers were associated with increased outpatient visits (OR = 1.19; P = 0.051). Housing Authority B vouchers decreased the likelihood of emergency department visits (OR = 0.61; P = 0.042). This study provides evidence that, while obtaining housing can result in better health care outcomes overall, local prioritization policies can influence that impact.

Major disparities in COVID-19 test positivity for patients with non-English preferred language even after accounting for race and social factors in the United States in 2020.

BACKGROUND: The COVID-19 pandemic has further exposed inequities in our society, demonstrated by disproportionate COVID-19 infection rate and mortality in communities of color and low-income communities. One key area of inequity that has yet to be explored is disparities based on preferred language. METHODS: We conducted a retrospective cohort study of 164,368 adults tested for COVID-19 in a large healthcare system across Washington, Oregon, and California from March - July 2020. Using electronic health records, we constructed multi-level models that estimated the odds of testing positive for COVID-19 by preferred language, adjusting for age, race/ethnicity, and social factors. We further investigated interaction between preferred language and both race/ethnicity and state. Analysis was performed from October-December 2020. RESULTS: Those whose preferred language was not English had higher odds of having a COVID-19 positive test (OR 3.07, p < 0.001); this association remained significant after adjusting for age, race/ethnicity, and social factors. We found significant interaction between language and race/ethnicity and language and state, but the odds of COVID-19 test positivity remained greater for those whose preferred language was not English compared to those whose preferred language was English within each race/ethnicity and state. CONCLUSIONS: People whose preferred language is not English are at greater risk of testing positive for COVID-19 regardless of age, race/ethnicity, geography, or social factors - demonstrating a significant inequity. Research demonstrates that our public health and healthcare systems are centered on English speakers, creating structural and systemic barriers to health. Addressing these barriers are long overdue and urgent for COVID-19 prevention.

Characteristics and Factors Associated with COVID-19 Infection, Hospitalization, and Mortality Across Race and Ethnicity.

Background: Data on the characteristics of COVID-19 patients disaggregated by race/ethnicity remain limited. We evaluated the sociodemographic and clinical characteristics of patients across racial/ethnic groups and assessed their associations with COVID-19 outcomes. Methods: This retrospective cohort study examined 629,953 patients tested for SARS-CoV-2 in a large health system spanning California, Oregon, and Washington between March 1 and December 31, 2020. Sociodemographic and clinical characteristics were obtained from electronic health records. Odds of SARS-CoV-2 infection, COVID-19 hospitalization, and in-hospital death were assessed with multivariate logistic regression. Results: 570,298 patients with known race/ethnicity were tested for SARS-CoV-2, of whom 27.8% were non-White minorities. 54,645 individuals tested positive, with minorities representing 50.1%. Hispanics represented 34.3% of infections but only 13.4% of tests. While generally younger than White patients, Hispanics had higher rates of diabetes but fewer other comorbidities. 8,536 patients were hospitalized and 1,246 died, of whom 56.1% and 54.4% were non-White, respectively. Racial/ethnic distributions of outcomes across the health system tracked with state-level statistics. Increased odds of testing positive and hospitalization were associated with all minority races/ethnicities. Hispanic patients also exhibited increased morbidity, and Hispanic race/ethnicity was associated with in-hospital mortality (OR: 1.39 [95% CI: 1.14-1.70]). Conclusion: Major healthcare disparities were evident, especially among Hispanics who tested positive at a higher rate, required excess hospitalization and mechanical ventilation, and had higher odds of in-hospital mortality despite younger age. Targeted, culturally-responsive interventions and equitable vaccine development and distribution are needed to address the increased risk of poorer COVID-19 outcomes among minority populations.

Characteristics and Factors Associated With Coronavirus Disease 2019 Infection, Hospitalization, and Mortality Across Race and Ethnicity.

BACKGROUND: Data on the characteristics of coronavirus disease 2019 (COVID-19) patients disaggregated by race/ethnicity remains limited. We evaluated the sociodemographic and clinical characteristics of patients across racial/ethnic groups and assessed their associations with COVID-19 outcomes. METHODS: This retrospective cohort study examined 629 953 patients tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in a large health system spanning California, Oregon, and Washington between March 1 and December 31, 2020. Sociodemographic and clinical characteristics were obtained from electronic health records. Odds of SARS-CoV-2 infection, COVID-19 hospitalization, and in-hospital death were assessed with multivariate logistic regression. RESULTS: A total of 570 298 patients with known race/ethnicity were tested for SARS-CoV-2, of whom 27.8% were non-White minorities: 54 645 individuals tested positive, with minorities representing 50.1%. Hispanics represented 34.3% of infections but only 13.4% of tests. Although generally younger than White patients, Hispanics had higher rates of diabetes but fewer other comorbidities. A total of 8536 patients were hospitalized and 1246 died, of whom 56.1% and 54.4% were non-White, respectively. Racial/ethnic distributions of outcomes across the health system tracked with state-level statistics. Increased odds of testing positive and hospitalization were associated with all minority races/ethnicities. Hispanic patients also exhibited increased morbidity, and Hispanic race/ethnicity was associated with in-hospital mortality (odds ratio [OR], 1.39; 95% confidence interval [CI], 1.14-1.70). CONCLUSION: Major healthcare disparities were evident, especially among Hispanics who tested positive at a higher rate, required excess hospitalization and mechanical ventilation, and had higher odds of in-hospital mortality despite younger age. Targeted, culturally responsive interventions and equitable vaccine development and distribution are needed to address the increased risk of poorer COVID-19 outcomes among minority populations.

Life experiences associated with change in perpetration of domestic violence.

BACKGROUND: This study assessed whether several adult life experiences, including loss of support, loss of food security, loss of housing, and substance use cessation, are associated with change in domestic violence (DV) perpetration from early to later adulthood. Using 2015 to 2016 cross-sectional, self-report survey data from Medicaid enrollees in Oregon (N = 1620), we assessed change in DV perpetration from early adulthood (19-30 years) to later adulthood (≥ 31 years of age), cut points determined by existing survey questions. Multinomial logistic regression models were constructed to estimate the association between life experiences and physical DV perpetration using odds ratios (OR), adjusting for sociodemographic characteristics, DV victimization, and childhood abuse, bullying, and social support. FINDINGS: Of the 20% of participants who perpetrated DV, 36% perpetrated DV in both early and later adulthood (persisters), 42% discontinued (desisters) and 22% began (late-onsetters) perpetration in later adulthood. Loss of support and loss of food security were both associated with change in DV perpetration (i.e., desistance or late onset of perpetration or both). Loss of support was associated with 9.5 times higher odds of being a desister (OR = 9.5, 95% CI = 1.1, 84.1) and 54.2 times higher odds of being a late-onsetter (OR = 54.2, 95% CI = 6.5, 450.8) of DV perpetration compared to persisters. Loss of food security was associated with 10.3 times higher odds of being a late-onsetter (OR = 10.3, 95% CI = 1.9, 55.4) of DV perpetration compared to persisters. In addition, substance use cessation was associated with 10.3 times higher odds of being a desister (OR = 10.3, 95% CI = 1.9, 56.2) compared to persisters. CONCLUSIONS: Findings suggest that specific life experiences in adulthood, including loss of support, loss of food security, and substance use cessation, are associated with changes in DV perpetration.

Understanding the Socioeconomic and Health Challenges of the Medicaid Expansion Population in Oregon.

Following the Patient Protection and Affordable Care Act, Medicaid eligibility in the United States expanded to include low-income adults. One key challenge for organizations and providers serving the Medicaid population was predicting if and how this change would alter the composition of enrollees. This study characterized demographics, socioeconomic challenges, and health of the expansion and non-expansion Medicaid populations in a metropolitan area in Oregon using a survey and Medicaid claims. Results showed that the expansion population has more men and non-English speakers than the non-expansion population. They also have greater education and employment, but face similar socioeconomic challenges including struggling to meet basic needs and housing instability. This study also found comparable self-reported physical and mental health, but lower prevalence of physical or mental health diagnoses and several ambulatory care reactive conditions including hypertension, obesity, and type 2 diabetes. The authors concluded that expansion and non-expansion populations differ in sex, language, education, employment, and health, but they face similar socioeconomic challenges. This information is useful for organizations coordinating and providing care to Medicaid members so they can understand the needs of the population and set appropriate population health management strategies.

Probabilistic walking models using built environment and sociodemographic predictors.

BACKGROUND: Individual sociodemographic and home neighborhood built environment (BE) factors influence the probability of engaging in health-enhancing levels of walking or moderate-to-vigorous physical activity (MVPA). Methods are needed to parsimoniously model the associations. METHODS: Participants included 2392 adults drawn from a community-based twin registry living in the Seattle region. Objective BE measures from four domains (regional context, neighborhood composition, destinations, transportation) were taken for neighborhood sizes of 833 and 1666 road network meters from home. Hosmer and Lemeshow's methods served to fit logistic regression models of walking and MVPA outcomes using sociodemographic and BE predictors. Backward elimination identified variables included in final models, and comparison of receiver operating characteristic (ROC) curves determined model fit improvements. RESULTS: Built environment variables associated with physical activity were reduced from 86 to 5 or fewer. Sociodemographic and BE variables from all four BE domains were associated with activity outcomes but differed by activity type and neighborhood size. For the study population, ROC comparisons indicated that adding BE variables to a base model of sociodemographic factors did not improve the ability to predict walking or MVPA. CONCLUSIONS: Using sociodemographic and built environment factors, the proposed approach can guide the estimation of activity prediction models for different activity types, neighborhood sizes, and discrete BE characteristics. Variables associated with walking and MVPA are population and neighborhood BE-specific.

Identifying underlying constructs of childhood adversity in a low-income population.

BACKGROUND: Extensive research has documented the association between adverse childhood experiences (ACEs) and poor outcomes later in life, as well as the high prevalence of ACEs in the American population. Studies consistently find that over half of American adults have experienced at least one ACE. Despite this, research on the long-term impacts of ACEs is challenging due to the complex nature of adversity. OBJECTIVE: Our study aimed to define underlying constructs of adversity, and explore how they changed throughout childhood, in a low-income population. PARTICIPANTS AND SETTING: We fielded a survey to Medicaid-enrolled adults in the Portland, OR metropolitan area. METHODS: Our survey captured different experiences in childhood, including relationships and support, educational challenges, housing and employment stability, neighborhood environment, discrimination, abuse, neglect, and household dysfunction; questions were asked for 6-12 and 13-18 years of age. We then used factor analysis to identify underlying constructs of adversity in the two age ranges. RESULTS: We identified two factors - Inadequate Emotional Support and Instability - in each age range. Inadequate Emotional Support remained consistent in both time periods while the Instability factor changed, expanding from household-centric experiences in childhood to a wider variety of experiences in adolescence. Additionally, a number of variables did not load on either factor in either age range. CONCLUSIONS: These results underscore the importance of expanding how we think about instability specifically, and childhood adversity in general.

Associations between social capital and depression: A study of adult twins.

Social capital is associated with depression independently of individual-level risk factors. We used a sample of 1586 same-sex twin pairs to test the association between seven measures of social capital and two related measures of neighborhood characteristics with depressive symptoms accounting for uncontrolled selection factors (i.e., genetics and shared environment). All measures of cognitive social capital and neighborhood characteristics were associated with less depressive symptoms in between-twin analysis. However, only measures of cognitive social capital were significantly associated with less depressive symptoms within-pairs. These results demonstrate that cognitive social capital is associated with depressive symptoms free of confounding from genetic and environmental factors shared within twins.

Associations between neighbourhood characteristics and depression: a twin study.

BACKGROUND: Depression is an important contributor to the global burden of disease. Besides several known individual-level factors that contribute to depression, there is a growing recognition that neighbourhood environment can also profoundly affect mental health. This study assessed associations between three neighbourhood constructs-socioeconomic deprivation, residential instability and income inequality-and depression among adult twin pairs. The twin design is used to examine the association between neighbourhood constructs and depression, controlling for selection factors (ie, genetic and shared environmental factors) that have confounded purported associations. METHODS: We used multilevel random-intercept Poisson regression among 3738 same-sex twin pairs from a community-based twin registry to examine the association between neighbourhood constructs and depression. The within-pair association controls for confounding by genetic and environmental factors shared between twins within a pair, and is the main parameter of interest. Models were adjusted for individual-level income, education and marital status, and further by neighbourhood-level population density. RESULTS: When twins were analysed as individuals (phenotypic model), all neighbourhood constructs were significantly associated with depression. However, only neighbourhood socioeconomic deprivation showed a significant within-pair association with depression. A 10-unit within-pair difference in neighbourhood socioeconomic deprivation was associated with 6% greater depressive symptoms (1.06, 95% CI 1.01 to 1.11); the association did not substantially change in adjusted models. CONCLUSION: This study provides new evidence linking neighbourhood socioeconomic deprivation with greater depression. Future studies should employ longitudinal designs to better test social causation versus social selection.

Associations Between Fast-Food Consumption and Body Mass Index: A Cross-Sectional Study in Adult Twins.

Obesity is a substantial health problem in the United States, and is associated with many chronic diseases. Previous studies have linked poor dietary habits to obesity. This cross-sectional study aimed to identify the association between body mass index (BMI) and fast-food consumption among 669 same-sex adult twin pairs residing in the Puget Sound region around Seattle, Washington. We calculated twin-pair correlations for BMI and fast-food consumption. We next regressed BMI on fast-food consumption using generalized estimating equations (GEE), and finally estimated the within-pair difference in BMI associated with a difference in fast-food consumption, which controls for all potential genetic and environment characteristics shared between twins within a pair. Twin-pair correlations for fast-food consumption were similar for identical (monozygotic; MZ) and fraternal (dizygotic; DZ) twins, but were substantially higher in MZ than DZ twins for BMI. In the unadjusted GEE model, greater fast-food consumption was associated with larger BMI. For twin pairs overall, and for MZ twins, there was no association between within-pair differences in fast-food consumption and BMI in any model. In contrast, there was a significant association between within-pair differences in fast-food consumption and BMI among DZ twins, suggesting that genetic factors play a role in the observed association. Thus, although variance in fast-food consumption itself is largely driven by environmental factors, the overall association between this specific eating behavior and BMI is largely due to genetic factors.