Importance Of Social Determinants Research Articles

Association of Health Literacy Among Nulliparous Individuals and Maternal and Neonatal Outcomes

Health literacy is considered an important social determinant of health that may underlie many health disparities, but it is unclear whether inadequate health literacy among pregnant individuals is associated with adverse maternal and neonatal outcomes. To assess the association between maternal health literacy and maternal and neonatal outcomes among nulliparous individuals. This was a secondary analysis of a large, multicenter cohort study of 10 038 nulliparous individuals in the US (2010-2013). Participants underwent 3 antenatal study visits and had detailed maternal and neonatal data abstracted. Data analysis was performed from July to December 2019. Between 16 and 21 weeks of gestation, health literacy was assessed using the Rapid Estimate of Adult Literacy in Medicine-Short Form, a validated 7-item word recognition test. In accordance with standard scoring, results were dichotomized as inadequate vs adequate health literacy. On the basis of theoretical causal pathways between health literacy and health outcomes, a priori maternal and neonatal outcomes (determined via medical records) were selected for this analysis. Multivariable Poisson regression models were constructed to estimate the associations between health literacy and outcomes. Sensitivity analyses in which education was removed from models and that excluded individuals who spoke English as a second language were performed. Of 9341 participants who completed the Rapid Estimate of Adult Literacy in Medicine-Short Form, the mean (SD) age was 27.0 (5.6) years, and 2540 (27.4%) had publicly funded prenatal care. Overall, 1638 participants (17.5%) had scores indicative of inadequate health literacy. Participants with inadequate health literacy were more likely to be younger (mean [SD] age, 22.9 [5.0] vs 27.9 [5.3] years), have less educational attainment (some college education or greater, 1149 participants [73.9%] vs 5279 participants [94.5%]), have publicly funded insurance (1008 participants [62.2%] vs 1532 participants [20.0%]), and report they were a member of an underrepresented racial or ethnic group (non-Hispanic Black, 506 participants [30.9%] vs 780 participants [10.1%]; Hispanic, 516 participants [31.5%] vs 948 participants [12.3%]) compared with those with adequate health literacy. Participants who had inadequate health literacy had greater risk of cesarean delivery (adjusted risk ratio [aRR], 1.11; 95% CI, 1.01-1.23) and major perineal laceration (aRR, 1.44; 95% CI, 1.03-2.01). The adjusted risks of small-for-gestational-age status (aRR, 1.34; 95% CI, 1.14-1.58), low birth weight (aRR, 1.33; 95% CI, 1.07-1.65), and 5-minute Apgar score less than 4 (aRR, 2.78; 95% CI, 1.16-6.65) were greater for neonates born to participants with inadequate health literacy. Sensitivity analyses confirmed these findings. These findings suggest that inadequate maternal health literacy is associated with a variety of adverse maternal and neonatal outcomes.

Importance of Social Determinants in Screening for Depression

ImportanceThe most common screening tool for depression is the Patient Health Questionnaire-9 (PHQ-9). Despite extensive research on the clinical and behavioral implications of the PHQ-9, data are limited on the relationship between PHQ-9 scores and social determinants of health and disease.ObjectiveTo assess the relationship between the PHQ-9 at intake and other measurements intended to assess social determinants of health.Design, Setting, and ParticipantsCross-sectional analyses of 2502 participants from the Baseline Health Study (BHS), a prospective cohort of adults selected to represent major demographic groups in the US; participants underwent deep phenotyping on demographic, socioeconomic, clinical, laboratory, functional, and imaging findings.InterventionsNone.Main Outcomes and MeasuresCross-sectional measures of clinical and socioeconomic status (SES).ResultsIn addition to a host of clinical and biological factors, higher PHQ-9 scores were associated with female sex, younger participants, people of color, and Hispanic ethnicity. Multiple measures of low SES, including less education, being unmarried, not currently working, and lack of insurance, were also associated with higher PHQ-9 scores across the entire spectrum of PHQ-9 scores. A summative score of SES, which was the 6th most predictive factor, was associated with higher PHQ-9 score after adjusting for 150 clinical, lab testing, and symptomatic characteristics.Conclusions and RelevanceOur findings underscore that depression should be considered a comorbidity when social determinants of health are addressed, and both elements should be considered when designing appropriate interventions.

Estimated Incidence and Factors Associated With Risk of Elder Mistreatment in New York State

IMPORTANCEElder mistreatment is associated with major health and psychosocial consequences and is recognized by clinicians, policy makers, and researchers as a pervasive problem affecting a rapidly aging global population.OBJECTIVETo estimate the incidence of elder mistreatment and identify factors associated with the risk of new cases.DESIGN, SETTING, AND PARTICIPANTSThis research is a 10-year, longitudinal, population-based, cohort study of the incidence of elder mistreatment in New York State households conducted between 2009 (wave 1) and 2019 (wave 2). At wave 1, random digit-dial (landline and cellular telephones) stratified sampling was done to recruit English-speaking and/or Spanish-speaking, cognitively intact, community-dwelling older adults (aged ≥60 years) across New York State. The current study conducted computer-assisted telephone interviews with older adults who participated in wave 1 and gave permission to be contacted again for wave 2 interviews (response rate, 60.7%). Data analysis was performed from October 2020 to January 2021.EXPOSURESPhysical factors (health status, functional capacity, and age), living arrangement (coresidence), and sociocultural characteristics (sex, race/ethnicity, geocultural context, and household income).MAIN OUTCOMES AND MEASURESTen-year incidence for overall elder mistreatment and subtypes (financial abuse, emotional or psychological abuse, physical abuse, and neglect) were measured using adapted versions of the Conflict Tactics Scale, the Duke Older Americans Resources and Services scale, and the New York State Elder Mistreatment Prevalence Study financial abuse tool.RESULTSThe analytical sample included 628 older adults (mean [SD] age at wave 1, 69.20 [6.95] years; age at wave 2, 79.40 [6.93] years; 504 non-Hispanic White individuals [80.9%]; 406 women [64.6%]). Ten-year incidence rates were 11.4% (95% CI, 8.8%−14.3%) for overall elder mistreatment, 8.5% (95% CI, 6.3%–10.9%) for financial abuse, 4.1% (95% CI, 2.6%–5.7%) for emotional abuse, 2.3% (95% CI, 1.2%–3.6%) for physical abuse, and 1.0% (95% CI, 0.3%–1.8%) for neglect. Poor self-rated health at wave 1 was associated with increased risk at wave 2 of new overall mistreatment (odds ratio [OR], 2.86; 95% CI, 1.35–5.84), emotional abuse (OR, 3.67; 95% CI, 1.15–11.15), physical abuse (OR, 4.21; 95% CI, 1.14–13.70), and financial abuse (OR, 2.80; 95% CI, 1.16–6.38). Compared with non-Hispanic White participants, Black participants were at heightened risk of overall mistreatment (OR, 2.61; 95% CI, 1.16–5.70) and financial abuse (OR, 2.80; 95% CI, 1.09–6.91). A change from coresidence to living alone was associated with increased risk of financial abuse (OR, 2.74; 95% CI, 1.01–7.21).CONCLUSIONS AND RELEVANCEThese findings suggest that health care visits may be important opportunities to detect older adults who are at risk of mistreatment. Race is highlighted as an important social determinant for elder mistreatment requiring urgent attention.

Impact of changes in housing tenure and affordability status on depressive symptoms: Evidence from a longitudinal study

IntroductionHousing is an important social determinant of health. We investigated effects of changes in housing tenure and affordability on depressive symptoms. MethodsData of 9,956 individuals aged >20 years from the Korea Welfare Panel Study (2015–2020) were analyzed. Housing tenure was categorized as homeowners or tenants. Individuals with housing-related expenditures exceeding 30% of household income were defined as having housing unaffordability. Analyses using generalized estimating equations were conducted to evaluate the relationship between changes in housing tenure and affordability on depressive symptoms measured with the Center for Epidemiologic Studies Depression Scale. ResultsIndividuals who became tenants (β = 0.326, p = 0.027) or were persistent tenants (β = 0.542, p<0.001) demonstrated significantly more severe depressive symptoms than persistent homeowners. Individuals with new (β = 0.562, p < 0.001) or consistent housing unaffordability (β = 1.032, p = 0.036) showed increased depressive symptoms compared with those with persistent housing affordability. Depressive symptoms were reduced in new homeowners and those who left housing unaffordability status (β = -0.807, p = 0.031). The interaction between housing tenure and affordability on depressive symptoms differed by age and household composition. Housing tenure at post-retirement age and single-person households were associated with a decrease in depressive symptoms, respectively. LimitationsAll housing-related factors, especially different domains of housing insecurity including unstable neighborhoods or reasons for moving, have not been identified. ConclusionsChanges in housing tenure, affordability, and the two combined were significantly associated with depressive symptoms. Furthermore, the degree of interactive effect varied among age groups and household composition. Housing welfare policies that can stabilize housing tenure and affordability might help prevent depression.

Energy, Data, and Decision-Making: a Scoping Review-the 3D Commission.

Access to energy is an important social determinant of health, and expanding the availability of affordable, clean energy is one of the Sustainable Development Goals. It has been argued that climate mitigation policies can, if well-designed in response to contextual factors, also achieve environmental, economic, and social progress, but otherwise pose risks to economic inequity generally and health inequity specifically. Decisions around such policies are hampered by data gaps, particularly in low- and middle-income countries (LMICs) and among vulnerable populations in high-income countries (HICs). The rise of "big data" offers the potential to address some of these gaps. This scoping review sought to explore the literature linking energy, big data, health, and decision-making.Literature searches in PubMed, Embase, and Web of Science were conducted. English language articles up to April 1, 2020, were included. Pre-agreed study characteristics including geographic location, data collected, and study design were extracted and presented descriptively, and a qualitative thematic analysis was performed on the articles using NVivo.Thirty-nine articles fulfilled eligibility criteria. These included a combination of review articles and research articles using primary or secondary data sources. The articles described health and economic effects of a wide range of energy types and uses, and attempted to model effects of a range of technological and policy innovations, in a variety of geographic contexts. Key themes identified in our analysis included the link between energy consumption and economic development, the role of inequality in understanding and predicting harms and benefits associated with energy production and use, the lack of available data on LMICs in general, and on the local contexts within them in particular. Examples of using "big data," and areas in which the articles themselves described challenges with data limitations, were identified.The findings of this scoping review demonstrate the challenges decision-makers face in achieving energy efficiency gains and reducing emissions, while avoiding the exacerbation of existing inequities. Understanding how to maximize gains in energy efficiency and uptake of new technologies requires a deeper understanding of how work and life is shaped by socioeconomic inequalities between and within countries. This is particularly the case for LMICs and in local contexts where few data are currently available, and for whom existing evidence may not be directly applicable. Big data approaches may offer some value in tracking the uptake of new approaches, provide greater data granularity, and help compensate for evidence gaps in low resource settings.

The Most Important Social Determinants of Slum Dwellers' Health: A Scoping Review.

ObjectivesGiven the importance of social determinants of health in promoting the health of slum residents, this study was conducted with the aim of identifying the main dimensions and components of these determinants.MethodsThis scoping review study was conducted according to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews). A comprehensive search was performed of PubMed, ProQuest, Scopus, and Web of Science for articles conducted from 2010 to the end of 2019. Studies were selected based on inclusion criteria, with a special focus on studies dealing with the social determinants of physical and mental health or illness.ResultsThirty-three articles were selected to extract information on the social determinants of health. After reviewing the articles, 7 main dimensions (housing, socioeconomic status of the family, nutrition, neighborhood characteristics, social support and social capital, occupational factors, and health behaviors) and 87 components were extracted as social determinants of health among slum dwellers.ConclusionsThis framework could be used by planners, managers, and policy-makers when making decisions affecting the health of these settlements’ residents due to the common characteristics of slums around the world, especially in developing countries.

Value-based chronic care model approach for vulnerable older patients with multiple chronic conditions.

"Old age, itself, is not a disease" (Suborne 2007). The rising rate of the global aging population is predicted to create a health care crisis within the next three decades. Vulnerable older adults suffer from multiple chronic conditions (MCCs) in addition to cognitive and physical decline during the process of aging resulting in an inability to optimally achieve self-management. In terms of resource utilization, complex inpatient, and outpatient care results in higher physician visits, polypharmacy, and higher prescription costs. Health literacy has become known as an important social determinant of health affecting the older population. Both reductions in health literacy and self-management are associated with poorer health outcomes. The patient activation measure (PAM) has been coined "a vital sign" to ascertain a patient activation level throughout the continuum of care with the introduction of an intervention's progress. In this review, we conceptualize a systematic approach of the development of a "tailored" integrated community and care team to develop a partnership in assisting senior adults with MCCs. Through this intervention the value-based chronic care model (CCM) and PAM allows for an adaptable integration between the activated patient, their caregivers, and the community. The Model for Improvement (MFI) serves as a well-recognized technique for developing and executing quality improvement strategies in this "tailored" engaged and activated individual and community care team approach in achieving health outcomes and quality of life among the vulnerable older adult population worldwide.

A Content Analysis Of US Sanctuary Immigration Policies: Implications For Research In Social Determinants Of Health.

Restrictive immigration policies are important social determinants of health, but less is known about the health implications and health-related content of protective immigration policies, which may also represent critical determinants of health. We conducted a content analysis of types, themes, and health-related language in 328 "sanctuary" policies enacted between 2009 and 2017 in the United States. Sanctuary policies were introduced in thirty-two states and Washington, D.C., most frequently in 2014 and 2017. More than two-thirds of policies (67.6percent) contained language related to health, including direct references to access to services. Health-related themes commonly co-occurred with language related to supporting immigrants in communities, including themes of antidiscrimination, inclusion, trust, and privacy. Our work provides foundational, nuanced data about the scope and nature of sanctuary policies that can inform future research exploring the impacts of these policies on health and health care.

Reemployment Needs and Barriers of Users of Workforce Development Programs: A Mixed-Methods Study.

Employment is an important social determinant of health, and supporting individuals' return to the workforce is likely to have robust impacts on their health and well-being. The aim of this study was to identify (a) the self-perceived employment needs and expectations of users of community employment services; (b) the assets, needs, and barriers to reemployment among users of community employment services; and (c) areas of priority for programmatic development, including implications for patient-worker needs assessment and care coordination in clinical settings. We conducted structured interviews with 71 adults recruited from three workforce development programs located in the Chicago metropolitan area serving vulnerable workers. Topics of discussion included job histories, financial and social assets, and the respondents' motivation and expectations for their return to the workforce. We used descriptive statistics to analyze quantitative responses and performed content analysis for qualitative data. Users reported discrimination, legal barriers, family responsibilities, physical or mental health concerns, and needs related to transportation and housing as common challenges to reemployment. Concerns regarding navigating complex social support programs to meet individual and family needs, as well as uncertainty regarding what would qualify as sufficient employment in order to not be reliant on these programs in the future, were expressed. Health care providers have opportunities to identify those that may benefit from comprehensive referrals to reemployment programs and social services. Occupational health providers are also in a unique position to enhance workforce development programs through collaborations to better educate and support workers.

Does comprehensive education reduce health inequalities?

This article analyses the impact of comprehensive education on health inequalities. Given that education is an important social determinant of health, it is hypothesised that a more equitable comprehensive system could reduce health inequalities in adulthood. To test this hypothesis, we exploited the change from a largely selective to a largely comprehensive system that occurred in the UK from the mid-1960s onwards and compare inequalities in health outcomes of two birth cohorts (1958 and 1970) who attended either system. We studied physical and mental health, health behaviours and life satisfaction in middle age as outcomes and absolute and relative inequalities by social class (of origin and destination) and education. Inverse probability weighting was used to control confounding by socio-economic and education background, and ability test score taken prior to secondary school entry. We did not find consistent evidence that health inequalities were smaller under the comprehensive compared to the selective system and the results were robust under different model specifications. Our study adds to the sparse but growing literature that assesses the impact of social policy on health inequalities.

586-P: Characteristics Associated with A1C at 18-Months after Diagnosis in Young Children with Type 1 Diabetes

Introduction: The incidence of T1D in young children is increasing, yet the majority of children do not achieve glycemic targets, and little is known about predictors of A1c in young children. This study examines demographic predictors of A1c among young children through 18 months post-diagnosis. Methods: Participants were 37 young children (age 1-6 years, Mage=4.53(1.64), MA1c at diagnosis= 10.47(1.93)) with T1D whose parents were randomized to the usual care condition of a multi-site behavioral intervention trial within 8 weeks of diagnosis. At baseline, parents self-reported on sociodemographic information, CGM use and depression symptoms; DKA status at diagnosis and A1c values at 18 months were obtained from medical records. Child A1c at 18-months post-diagnosis (MA1c= 8.05 (0.93)) was dichotomized into “below target” (≤7.5%; n=15; 40.5%) or “above target” (&amp;gt;7.5%; n=22; 59.5%). Results: Family income (two-tailed Fisher’s exact test, p=.019), parent race/ethnicity (χ2(1, N=37)=8.97 p=.003), and child sex (χ2(1, N=37)=3.96, p=.047) were all significantly associated with 18-month A1c. Post hoc analyses using Bonferroni corrections indicated families with higher income, parents who identified as non-Hispanic white, and male children were more likely to be in the “below target” group compared to families with lower income, parents who identify as a racial/ethnic minority and female children, respectively. The 18-month A1c was not associated with baseline CGM use or parent depressive symptoms, nor DKA at diagnosis (p&amp;gt;.05). Conclusions: There are limited prospective studies of early predictors of A1c in young children. Our results are consistent with findings regarding demographic correlates of A1c found in older children and highlight the importance of social determinants of health. Future research using larger samples should explore the role of additional potential correlates of later glycemic control. Disclosure J. S. Eng: None. K. Rooney: None. C. Henderson: None. B. E. Marks: None. C. Tully: None. M. Monaghan: None. M. E. Hilliard: None. R. Streisand: None. C. H. Wang: None. Funding National Institute of Diabetes and Digestive and Kidney Disease (R01DK102561)

830-P: The Development of a New Computer Adaptive Test of Illness Burden for Use in People with Type 2 Diabetes Mellitus (T2DM)

In recent years, a growing body of research has established that social determinants of health influence the health outcomes of patients, especially those with T2DM. We developed a new patient-reported outcome (PRO) measure of an important social determinant of behavior that is specific to persons with T2DM: illness burden. Qualitative and quantitative methods informed the development of this new PRO. A literature review and semi-structured key informant interviews guided the establishment of an initial item pool. Expert and patient review, reading level assessment (to ensure no item had &amp;gt;5th grade reading-level language), and a translatability review were all used to refine the original item pool to 47 items. The refined item pool was then tested in 225 patients with T2DM. No items had sparse response option cells or problems with monotonicity; two items were deleted due to low item-rest correlations. Factor analyses (exploratory and confirmatory) supported the retention of 29 items. With those 29 remaining items, a constrained (common slope) graded response model (GRM) fit assessment indicated that two items had misfit and were excluded. No items displayed differential item functioning by age, sex, education, or socio-economic status. Thus, the final item bank is comprised of 27 items. Psychometric considerations (based on item information values) were used, in conjunction with expert content review, to select a 6-item static short form. IRT-based item parameters were employed to make this new measure available as a computer adaptive test. Internal consistency of the new PRO was excellent (α ≥ .90 for all administration formats). The new Illness Burden item bank captures patients’ perceptions of the impact that having T2DM has on their daily lives. It can be used in conjunction with the broader measurement system, the Re-Engineered Discharge for Diabetes Computer Adaptive Test, to evaluate important social determinants of behavior in persons with T2DM. Disclosure S. Mitchell: Other Relationship; Self; See Yourself Health LLC, Speaker’s Bureau; Self; Merck Sharp &amp; Dohme Corp. M. A. Kallen: None. A. Bragg: None. I. Moldovan: None. J. M. Howard: None. B. W. Jack: None. J. A. Miner: None. C. M. Graves: None. N. Carlozzi: None. Funding National Institute of Diabetes and Digestive and Kidney Diseases (1R21DK121092)

831-P: The Development of a New Computer Adaptive Test of Medication Adherence for People with Type 2 Diabetes Mellitus: Medication Adherence Item Bank

Over 27 million Americans have type 2 diabetes mellitus (T2DM), accounting for &amp;gt;7.7 million hospital admissions. Social determinants of behavior, including medication adherence, play a critical role in their health outcomes. We developed a new patient-reported outcome (PRO) measure to evaluate medication adherence in people with T2DM, using established measurement development standards. An item pool was created that reflected important content related to medication adherence for people with T2DM. The item pool was then refined, using feedback from experts, a reading-level assessment (ensuring no &amp;gt;5th grade reading-level content was included), a translatability review (e.g., to allow future measure translation into Spanish), and feedback from T2DM patients. Next, 225 people with T2DM completed 58 self-report medication adherence items. Exploratory factor analysis supported the item pool’s essential unidimensionality. Five items were excluded due to low item-rest correlations. Confirmatory factor analysis supported retaining 27 items. All items fit the graded response model, and no items had meaningful differential item functioning for the factors age, sex, education, or socioeconomic status. The final item bank is comprised of 27 items and can be administered as a computer adaptive test or 6- item short form. Internal consistency reliability was excellent for all administration formats (α’s all ≥ .90). The new Medication Adherence item bank provides a reliable, content-relevant assessment of medication adherence for people with T2DM. It is part of the comprehensive Re-Engineered Discharge for Diabetes Computer Adaptive Test (REDD-CAT) measurement system, which is designed to capture important social determinants of behavior for people with T2DM. Work is underway to establish additional psychometric properties (e.g., test-retest reliability, validity) of this new measure. Disclosure S. Mitchell: Other Relationship; Self; See Yourself Health LLC, Speaker’s Bureau; Self; Merck Sharp &amp; Dohme Corp. M. A. Kallen: None. A. Bragg: None. I. Moldovan: None. J. M. Howard: None. B. W. Jack: None. J. A. Miner: None. C. M. Graves: None. N. Carlozzi: None. Funding National Institute of Diabetes and Digestive and Kidney Diseases (R21DK121092)

Economic and Social Aspects of Using Energy from PV and Solar Installations in Farmers’ Households in the Podkarpackie Region

The growing energy needs of agriculture, the need to reduce the burning of fossil fuels, and, on the other hand, the increasing technical efficiency are contributing to the wider use of solar energy technology in agriculture. The aim of the article is to identify factors determining farmers’ investments in solar photovoltaic and solar thermal installations for electricity and heat production, to establish the proportion between the consumption of such energy for the needs of the farmer’s family and for the needs of the farm, and to identify the drivers of solar energy use in agricultural production. Empirical materials were collected through surveys of farmers conducted at the end of 2020 in south-eastern Poland, in the Podkarpackie region. It is a region characterized by significant land fragmentation. Producing energy from renewable sources can be an opportunity for farmers not only to reduce household expenses, but also to increase agricultural income. As a result, it can be a driver of sustainable agricultural development in the region. The article presents the most important economic and social determinants that stimulate the adoption of solar photovoltaic and solar thermal technologies by farmers for the needs of their households as well as for agricultural production.

Housing instability is associated with failure to achieve virologic control among pregnant individuals with HIV

Homelessness and housing instability, which are on the rise nationally, are considered important social determinants of health. Among nonpregnant adults living with HIV, both have been associated with decreased linkage to medical care and virologic nonsuppression. This association may be particularly concerning in pregnancy, because virologic control is the primary determinant of HIV perinatal transmission. In addition, housing instability in pregnancy may be an independent risk factor for adverse perinatal outcomes, further amplifying perinatal risks in pregnant individuals living with HIV. However, the role of housing as a social determinant of health among such individuals is largely unstudied. The objective was to examine the association between housing instability and virologic control among pregnant individuals living with HIV. This was a retrospective cohort study of pregnant individuals seeking perinatal care in a specialty HIV clinic from 2007 to 2018. Markers of virologic control, including time from antiretroviral therapy initiation to virologic suppression, antiretroviral therapy adherence, and viral load at 36 weeks and at delivery, were assessed. All patients underwent assessment of housing status with a licensed clinical social worker and were classified as experiencing housing instability (ie, staying with family or friends, transitional housing, treatment program, shelter, outdoors or vehicle, hotel, or incarcerated) vs not experiencing instability (renting or owning). Multivariable regression models assessed the associations of housing instability with virologic control. Of 232 pregnant patients living with HIV with documented housing status, 41.4% (n=96) experienced housing instability. Patients with housing instability were younger and more likely to self-identify as non-Hispanic Black, have public or no insurance, and have a mental health or substance use disorder. They were less likely to be married, be employed, or have greater than a high school education. There were no differences in parity, number of prenatal visits, or timing of HIV diagnosis between groups. On adjusted analyses, patients with housing instability required an adjusted 2.45 weeks (95% confidence interval, 0.16-4.74) longer to achieve initial viral suppression and had greater odds of missing 5 or more doses of antiretroviral medications (adjusted odds ratio, 2.09; 95% confidence interval, 1.07-4.09) and having a detectable viral load at delivery (adjusted odds ratio, 2.13; 95% confidence interval, 1.02-4.47). Housing instability among pregnant individuals living with HIV is common and is associated with decreased virologic control during pregnancy. Given the association between virologic control and perinatal transmission, housing instability may be an important social determinant of HIV-related perinatal outcomes. Addressing housing instability during pregnancy may be a critical avenue to improve maternal and neonatal health and reduce the risk of perinatal transmission.

Abstract P207: Food Insecurity, Anxiety And Depression In An Underserved Heart Failure Population

Objective: The HRTSA (HeaRt -Failure Transitional Services for Adults) Clinic at the University of Alabama at Birmingham Hospital serves underinsured individuals with heart failure (HF). We examined the differences in sociodemographic, clinical characteristics, and depression and anxiety among food secure and insecure patients who established care in clinic. Methods: Between May 2018 and December 2019, 291 patients established care in the HRTSA Clinic post-hospitalization. Patients were adults ≥18 years of age with heart failure. At the first clinic visit, baseline sociodemographic and medical history were obtained. Additionally, each patient was screened for depression using the Patient Health Questionaire-9 (PHQ-9) and anxiety using the General Anxiety Disorder-7 (GAD-7) questionnaire. Patients were also screened for food insecurity (FI) using the Hunger Vital Signs screener, a validated 2-item tool created for clinical settings to rapidly identify FI. Using descriptive statistics and t-tests, we compared demographic and clinical characteristics of FI and FS clinic patients. Results: Of the 291 newly referred patients seen in the HRTSA Clinic and screened for food insecurity, the mean age was 50 years, 58% were African American and 29% were female. A total of 80 patients (27%) screened positive for food insecurity. FI patients tended to be female (37% vs 27%, p=0.108) and African American (68% vs. 58%, p=0.142), although not statistically significant. FI patients had statistically significant higher depression scores and had anxiety scores that trended to higher values. Conclusions: Food insecurity, an important social determinant of health, is associated with more depression and anxiety. Depression and anxiety are important contributors to patient-centered outcomes for heart failure patients, specifically in underserved populations. This has implications for health care providers to implement screening interventions to improve mental health in underserved populations.

Neighborhood Socioeconomic Status, Health Insurance, and CKD Prevalence: Findings From a Large Health Care System

Rational & ObjectiveNeighborhood socioeconomic status (SES) and health insurance status may be important upstream social determinants of chronic kidney disease (CKD), but their relationship remains unclear. The aim of this study was to determine whether neighborhood SES and individual-level health insurance status were independently associated with CKD prevalence.Study DesignObservational study using electronic health records (EHRs).Setting & ParticipantsEHRs of patients (n = 185,269) seen at a health care system in the 7-county Minneapolis/St Paul area (2017-2018).ExposuresCensus tract neighborhood SES measures (median value of owner-occupied housing units [wealth], percentage of residents aged >25 years with bachelor’s degree or higher [education]) and individual-level health insurance status (aged <65 years: Medicaid vs other insurance; ≥65 years: Medicare vs Medicare and supplemental insurance plan) were obtained from the American Community Survey and EHR data. Neighborhood SES was operationalized into quartiles, comparing low (first quartile) versus high (fourth quartile) neighborhood SES.OutcomesCKD prevalence: estimated glomerular filtration rate < 60 mL/min/1.73 m2 or proteinuria.Analytic ApproachMultilevel Poisson regression with robust error variance with a random intercept at the census-tract level, adjusted for demographic and clinical covariates, was used to estimate the association between neighborhood SES, insurance, and CKD.ResultsNeighborhood SES and insurance were independently associated with CKD prevalence. In covariate-adjusted models, patients living in low versus high neighborhood SES had a higher CKD prevalence among both younger and older patients. For example, the prevalence ratios of CKD in low versus high neighborhood SES as defined by education among patients younger than 65 and 65 years and older were 1.11 (95% CI, 1.05-1.18) and 1.08 (95% CI, 1.04-1.12), respectively. Patients younger than 65 years receiving Medicaid had higher CKD prevalence versus those with other insurance (1.51 [95% CI, 1.43-1.6]). For patients 65 years and older, insurance was not associated with prevalence of CKD in the fully adjusted model.LimitationsOne health care system and selection bias.ConclusionsLiving in low neighborhood SES as defined by wealth and education and having Medicaid for patients younger than 65 years were associated with higher CKD prevalence.

Food Insecurity Is Prevalent in Iowa’s Medicaid Expansion Population

BackgroundFood insecurity has been identified as an important social determinant of health and is associated with many health issues prevalent in Medicaid members. Despite this, little research has been done around food insecurity within Medicaid populations. ObjectiveOur objective was to estimate the prevalence of household food insecurity and identify factors associated with experiencing food insecurity in Iowa’s Medicaid expansion population. DesignWe conducted a cross-sectional telephone survey between March and May of 2019. ParticipantsOur sample was drawn from Medicaid members enrolled in Iowa’s expansion program at least 14 months, stratified by Federal Poverty Level (FPL) category. Members who did not have valid contact information were excluded. We selected one individual per household to reduce the interrelatedness of responses. We sampled 6,000 individuals and had 1,349 respondents in the analytic sample. Main outcome measureOur main outcome was whether a respondent’s household experienced food insecurity in the previous year, using the Hunger Vital Sign screening tool. Statistical analyses performedWe weighted responses to account for the sampling design and differential nonresponse between strata. We estimated the prevalence of food insecurity and used logistic regression to model food insecurity as a function of demographic (age, FPL category, gender, employment, education, race, rurality, and Supplemental Nutrition Assistance Program [SNAP] participation) and health-related (self-rated health, self-rated oral health, health literacy) factors. ResultsThe estimated prevalence of experiencing food insecurity was 51.3%. Race, gender, education, employment, health literacy, and self-rated health were all significantly associated with food insecurity. ConclusionsOur findings show that food insecurity is prevalent in Iowa’s Medicaid expansion population. Food insecurity should be more widely measured as a critical social determinant of health in Medicaid populations. Policymakers and clinicians should consider interventions that connect households experiencing food insecurity to food resources (eg, produce prescriptions and food pantry referrals) and policies that increase food access. AbbreviationsIowa Wellness Plan (IWP); Federal Poverty Level (FPL); Healthy Behavior Program (HBP); Supplemental Nutrition Assistance Program (SNAP)

Gender Differences in Psychological Well-Being in Emerging Adulthood

Gender is recognized as an important social determinant of health, but past research on gender differences in psychological well-being have not produced conclusive results. This study investigated gender differences in eudaimonic well-being and life satisfaction in emerging adulthood. A cross-sectional study with a sample of 1990 emerging adults (50% males) from the Spanish general population was conducted. Participants were assessed through five questionnaires. Results showed that women scored higher than men in purpose in life and personal growth. Hierarchical multiple regression analysis revealed that the most important predictors of emerging adult men’s and women’s eudaimonic well-being and life satisfaction were higher self-confidence and lower negative self-evaluation. Other significant variables in the eudaimonic well-being of both women and men were higher score in the masculine/instrumental trait, higher emotional social support, higher educational level, and higher score in the feminine/expressive trait. Furthermore, higher instrumental social support was associated with eudaimonic well-being in females. Other predictors of women’s and men’s life satisfaction were higher score in the feminine/expressive trait, less age, higher educational level and higher instrumental social support. In addition, higher emotional social support was associated with life satisfaction in males. The results suggest that gender is important in the psychological well-being of people in emerging adulthood, although self-esteem and instrumental social support are, in both emerging adult women and men, the most important predictors of psychological well-being.

Neighborhood characteristics and psychiatric disorders in the aftermath of mass trauma: A representative study of New York City public school 4th-12th graders after 9/11

Studies of the relationship between neighborhood characteristics and childhood/adolescent psychopathology in large samples examined one outcome only, and/or general (e.g., ‘psychological distress’) or aggregate (e.g., ‘any anxiety disorder’) measures of psychopathology. Thus, in the only representative sample of New York City public school 4th-12th graders (N = 8202) surveyed after the attacks of 9/11/2001, this study examined whether (1) indices of neighborhood Socioeconomic Status, Quality, and Safety and (2) neighborhood disadvantage (defined as multidimensional combinations of SES, Quality and Safety indicators) are associated with eight psychiatric disorders: posttraumatic stress disorder, separation anxiety disorder (SAD), agoraphobia, generalized anxiety disorder (GAD), panic disorder, major depression, conduct disorder, and alcohol use disorder (AUD). (1) The odds ratios (OR) of psychiatric disorders were between 0.55 (AUD) and 1.55 (agoraphobia), in low and intermediate-low SES neighborhoods, respectively, between 0.50 (AUD) and 2.54 (agoraphobia) in low Quality neighborhoods, and between 0.52 (agoraphobia) and 0.65 (SAD) in low Safety neighborhoods. (2) In neighborhoods characterized by high disadvantage, the OR were between 0.42 (AUD) and 1.36 (SAD). This study suggests that neighborhood factors are important social determinants of childhood/adolescent psychopathology, even in the aftermath of mass trauma. At the community level, interventions on modifiable neighborhood characteristics and targeted resources allocation to high-risk contexts could have a cost-effective broad impact on children's mental health. At the individual-level, increased knowledge of the living environment during psychiatric assessment and treatment could improve mental health outcomes; for example, specific questions about neighborhood factors could be incorporated in DSM-5's Cultural Formulation Interview.