Associations between Social Adversity and Biomarkers of Inflammation, Stress, and Aging in Children.

BACKGROUND: Prior work has found relationships between childhood social adversity and biomarkers of stress, but knowledge gaps remain. To help address these gaps, we explored associations between social adversity and biomarkers of inflammation (interleukin-1ß [IL-1ß], IL-6, IL-8, tumor necrosis factor-alpha [TNF-α], and salivary cytokine hierarchical "clusters" based on the three interleukins), neuroendocrine function (cortisol, cortisone, dehydroepiandrosterone, testosterone, and progesterone), neuromodulation (N-arachidonoylethanolamine, stearoylethanolamine, oleoylethanolamide, and palmitoylethanolamide), and epigenetic aging (Pediatric-Buccal-Epigenetic clock). METHODS: We collected biomarker samples of children ages 0-17 recruited from an acute care pediatrics clinic and examined their associations with caregiver-endorsed education, income, social risk factors, and cumulative adversity. We calculated regression-adjusted means for each biomarker and compared associations with social factors using Wald tests. We used logistic regression to predict being in the highest cytokine cluster based on social predictors. RESULTS: Our final sample included 537 children but varied based on each biomarker. Cumulative social adversity was significantly associated with having higher levels of all inflammatory markers and with cortisol, displaying a U-shaped distribution. There were no significant relationships between cumulative social adversity and cortisone, neuromodulation biomarkers or epigenetic aging. CONCLUSION: Our findings support prior work suggesting that social stress exposures contribute to increased inflammation in children. IMPACT: Our study is one of the largest studies examining associations between childhood social adversity and biomarkers of inflammation, neuroendocrine function, neuromodulation, and epigenetic aging. It is one of the largest studies to link childhood social adversity to biomarkers of inflammation, and the first of which we are aware to link cumulative social adversity to cytokine clusters. It is also one of the largest studies to examine associations between steroids and epigenetic aging among children, and one of the only studies of which we are aware to examine associations between social adversity and endocannabinoids among children. CLINICAL TRIAL REGISTRATION: NCT02746393.

Stakeholder perspectives on social screening in US healthcare settings.

BACKGROUND: Evidence on the health impacts of social conditions has led US healthcare systems to consider identifying and addressing social adversity-e.g. food, housing, and transportation insecurity-in care delivery settings. Social screening is one strategy being used to gather patient information about social circumstances at the point of care. While several recent studies describe the rapid proliferation of social screening activities, little work has explored either why or how to implement social screening in clinical settings. Our study objectives were to assess diverse healthcare stakeholder perspectives on both the rationale for social screening and evidence needed to inform practice and policy-relevant implementation decisions. METHODS: We convened five focus groups with US experts representing different stakeholder groups: patient advocates, community-based organizations, healthcare professionals, payers, and policymakers. In total, 39 experts participated in approximately 90-minute long focus groups conducted between January-March 2021. A inductive thematic analysis approach was used to analyze discussions. RESULTS: Three themes emerged from focus groups, each reflecting the tension between the national enthusiasm for screening and existing evidence on the effectiveness and implementation of screening in clinical settings: (1) ambiguity about the rationale for social screening; (2) concerns about the relavence of screening tools and approaches, particularly for historically marginalized populations; (3) lack of clarity around the resources needed for implementation and scaling. CONCLUSION: While participants across groups described potential benefits of social screening, they also highlighted knowledge gaps that interfered with realizing these benefits. Efforts to minimize and ideally resolve these knowledge gaps will advance future social screening practice and policy.

Pandemic-related socioeconomic disruptions and adverse health outcomes: a cross-sectional study of female caregivers.

BACKGROUND: The COVID-19 pandemic and efforts to mitigate transmission resulted in sudden and widespread socioeconomic disruptions including school and child care closures, unemployment and underemployment, and housing precarity. Understanding the extent to which these disruptions may have contributed to adverse health outcomes is critical for establishing policy priorities that can mitigate further harm. METHODS: We explored the associations between pandemic-related child care, employment, and housing disruptions with depressive symptoms, self-rated health, and food security status among a sample of economically disadvantaged and racially diverse female caregivers of young children (n=464). Data were derived from the Assessing California Communities' Experiences with Safety Net Supports (ACCESS) study, which conducted survey-based interviews with California caregivers with low-income from August 2020 - May 2021. We implemented a series of multivariable Poisson regressions with robust standard errors to assess the potency of each exposure, independently and within the context of one another. RESULTS: Most caregivers experienced disruptions to child care (70%) and employment (63%); few experienced major housing disruptions (8%). Women that experienced child care and housing disruptions had greater depressive symptoms, lower self-rated health, and greater food insecurity, although the relationships for housing and depressive symptoms were modified by the timing of participants' interviews. Employment disruptions were not associated with any of the examined adverse health outcomes. CONCLUSION: In the wake of socioeconomic stressors brought about by the COVID-19 pandemic, attending to structural deficits in the child care system and increasing housing supports may be critical for protecting the health of caregivers.

Money speaks: Reductions in severe food insecurity follow the Canada Child Benefit.

Food insecurity is a pervasive public health problem in high income countries, disproportionately affecting households with children. Though it has been strongly linked with socioeconomic status and investments in social protection programs, less is known about its sensitivity to specific policy interventions, particularly among families. We implemented a difference-in-difference (DID) design to assess whether Canadian households with children experienced reductions in food insecurity compared to those without following the roll-out of a new country-wide income transfer program: the Canada Child Benefit (CCB). Data were derived from the 2015-2018 cycles of Canadian Community Health Survey. We used multinomial logistic regressions to test the association between CCB and food insecurity among three samples: households reporting any income (N = 41,455), the median income or less (N = 18,191) and the Low Income Measure (LIM) or less (N = 7579). The prevalence and severity of food insecurity increased with economic vulnerability, and were both consistently higher among households with children. However, they also experienced significantly greater drops in the likelihood of experiencing severe food insecurity following CCB; most dramatically among those reporting the LIM or less (DID: -4.7%, 95% CI: -8.6, -0.7). These results suggest that CCB disproportionately benefited families most susceptible to food insecurity. Furthermore, our findings also indicate that food insecurity may be impacted by even modest changes to economic circumstance, speaking to the potential of income transfers to help people meet their basic needs.

Adverse Childhood Experiences and BMI: Lifecourse Associations in a Black-White U.S. Women Cohort.

INTRODUCTION: Although adverse childhood experiences (ACEs) have been positively associated with adiposity, few studies have examined long-term race-specific ACE-BMI relationships. METHODS: A Black and White all-women cohort (N=611; 48.6% Black) was followed between 1987 and 1997 from childhood (ages 9-10 years) through adolescence (ages 19-20 years) to midlife (ages 36-43 years, between 2015 and 2019). In these 2020-2022 analyses, the interaction between race and individual ACE exposures (physical abuse, sexual abuse, household substance abuse, multiple ACEs) on continuous BMI at ages 19-20 years and midlife was evaluated individually through multivariable linear regression models. Stratification by race followed as warranted at α=0.15. RESULTS: Race only modified ACE-BMI associations for sexual abuse. Among Black women, sexual abuse was significantly associated with BMI (Badjusted=3.24, 95% CI=0.92, 5.57) at ages 19-20 years and marginally associated at midlife (Badjusted=2.37, 95% CI= -0.62, 5.35); among White women, corresponding associations were null. Overall, having ≥2 ACEs was significantly associated with adolescent BMI (Badjusted=1.47, 95% CI=0.13, 2.80) and was marginally associated at midlife (Badjusted=1.45, 95% CI= -0.31, 3.22). This was similarly observed for physical abuse (adolescent BMI: Badjusted=1.23, 95% CI= -0.08, 2.54; midlife BMI: Badjusted=1.03, 95% CI= -0.71, 2.78), but not for substance abuse. CONCLUSIONS: Direct exposure to certain severe ACEs is associated with increased BMI among Black and White women. It is important to consider race, ACE type, and life stage to gain a more sophisticated understanding of ACE-BMI relationships. This knowledge can help strengthen intervention, prevention, and policy efforts aiming to mitigate the impacts of social adversities and trauma on persistent cardiometabolic health disparities over the lifecourse.

Patient and Patient Caregiver Perspectives on Social Screening: A Review of the Literature.

BACKGROUND: Health care policy and practice-level enthusiasm around social screening has emerged in the absence of a clear appreciation for how patients feel about these activities. Yet patient and caregiver perspectives should be used to establish the rationale and inform the design and implementation of social screening initiatives. METHODS: We conducted a systematic scoping review to better understand patient and patient caregiver perspectives regarding multidomain social screening in US health care settings. RESULTS: We identified 16 articles. Thirteen studies assessed the perspectives of patients; a partially overlapping 9 studies assessed the perspectives of adult patient caregivers. Most articles assessing the acceptability of social screening reported that patients and patient caregivers generally found it to be acceptable. Notably, there was some variation by screening approach and prior experiences in health care settings, as well as mixed findings by race/ethnicity and gender. Participants from several articles raised concerns regarding data documentation and sharing, highlighting the potential for social data to contribute to provider bias. CONCLUSION: The themes emerging in this diverse set of largely descriptive studies warrant deeper and more rigorous exploration as social screening initiatives expand in health care settings across the United States.

Eviction filings during bans on enforcement throughout the COVID-19 pandemic: an interrupted time series analysis.

OBJECTIVE: Bans on evictions were implemented to reduce the spread of COVID-19 and to protect vulnerable populations during a public health crisis. Our objective was to examine how three bans on eviction enforcement impacted eviction filings from March 2020 through January 2022 in Ontario, Canada. METHODS: Data were derived from eviction application records kept by the Ontario Landlord and Tenant Board. We used segmented regression analysis to model changes in the average weekly filing rates for evictions due to non-payment of rent (L1 filings) and reasons other than non-payment of rent (L2 filings). RESULTS: The average number of weekly L1 and L2 applications dropped by 67.5 (95% CI: 55.2, 79.9) and 31.7 (95% CI: 26.7, 36.6) filings per 100,000 rental dwellings, respectively, following the first ban on eviction enforcement (p < 0.0001). Notably, they did not fall to zero. Level changes during the second and third bans were insubstantial and slope changes for L2 applications varied throughout the study period. The L1 filing rate appeared to increase towards the end of the study period (slope change: 1.3; 95% CI: 0.1, 2.6; p = 0.0387). CONCLUSION: Our findings suggest that while the first ban on eviction enforcement appeared to substantially reduce filing rates, subsequent bans were less effective and none of them eliminated eviction filings altogether. Enacting upstream policies that tackle the root causes of displacement would better equip jurisdictions during future public health emergencies.

RéSUMé: OBJECTIF: Les ordonnances d'expulsion résidentielles ont été suspendues pour réduire la propagation de la COVID-19 et pour protéger les populations vulnérables pendant une crise de santé publique. Notre objectif était d'examiner l'impact de trois interdictions d'exécution d'ordonnance d'éviction sur les requêtes d'expulsion de mars 2020 à janvier 2022 en Ontario, au Canada. MéTHODES: Les données ont été tirées des dossiers de requêtes d'expulsion conservés par la Commission de la location immobilière de l'Ontario. Nous avons utilisé une analyse de régression segmenté pour modéliser les changements dans les taux hebdomadaires moyens de requêtes d'expulsion pour non-paiement du loyer (requêtes L1) et pour des raisons autres que le non-paiement du loyer (requêtes L2). RéSULTATS: Le nombre moyen de demandes hebdomadaires de dépôts de requêtes L1 et L2 a chuté de 67,5 % (IC à 95% : 55,2, 79,9) et de 31,7 % (IC à 95% : 26,7, 36,6) pour 100 000 logements locatifs, respectivement, suite à la première interdiction d'exécution des expulsions. Il est à noter qu'elles ne sont pas tombées à zéro. Les changements du taux de requêtes au cours de la deuxième et la troisième interdictions n'étaient pas substantiels et les changements de pente pour les applications L2 ont varié tout au long de la période d'étude. Le taux de dépôt de L1 a semblé augmenter vers la fin de la période d'étude (changement de pente : 1,3; IC à 95% : 0,1, 2,6; p = 0,0387). CONCLUSION: Nos résultats suggèrent qu'alors que la première interdiction d'exécution des expulsions a semblé réduire considérablement les taux de dépôt d'expulsion, les interdictions ultérieures ont été moins efficaces et aucune d'entre elles n'a complètement éliminé les dépôts d'expulsion. L'adoption de politiques en amont qui s'attaquent plutôt aux causes profondes des expulsions permettrait de mieux équiper les juridictions lors de futures urgences de santé publique.

Assessing Implementation of Social Screening Within US Health Care Settings: A Systematic Scoping Review.

PURPOSE: Though a growing crop of health care reforms aims to encourage health care-based social screening, no literature has synthesized existing social screening implementation research to inform screening practice and policymaking. METHODS: Systematic scoping review of peer-reviewed literature on social screening implementation published 1/1/2011-2/17/2022. We applied a 2-concept search (health care-based screening; social risk factors) to PubMed and Embase. Studies had to explore the implementation of health care-based multi-domain social screening and describe 1+ outcome related to the reach, adoption, implementation, and/or maintenance of screening. Two reviewers extracted data related to key study elements, including sample, setting, and implementation outcomes. RESULTS: Forty-two articles met inclusion criteria. Reach (n = 7): We found differences in screening rates by patient race/ethnicity; findings varied across studies. Patients who preferred Spanish had lower screening rates than English-preferring patients. Adoption (n = 13): Workforce education and dedicated quality improvement projects increased screening adoption. Implementation (n = 32): Time was the most cited barrier to screening; administration time differed by tool/workforce/modality. Use of standardized screening tools/workflows improved screening integration. Use of community health workers and/or technology improved risk disclosure and facilitated screening in resource-limited settings. Maintenance (n = 1): Only 1 study reported on maintenance; results showed a drop in screening over 21 months. CONCLUSIONS: Critical evidence gaps in social screening implementation persist. These include gaps in knowledge about effective strategies for integrating social screening into clinical workflows and ways to maximize screening equity. Future research should leverage the rapidly increasing number of screening initiatives to elevate and scale best practices.

Assessing Area-Level Deprivation as a Proxy for Individual-Level Social Risks.

INTRODUCTION: Concerns about the opportunity costs of social screening initiatives have led some healthcare organizations to consider using social deprivation indices (area-level social risks) as proxies for self-reported needs (individual-level social risks). Yet, little is known about the effectiveness of such substitutions across different populations. METHODS: This analysis explores how well the highest quartile (cold spot) of three different area-level social risk measures-the Social Deprivation Index, Area Deprivation Index, and Neighborhood Stress Score-corresponds with six individual-level social risks and three risk combinations among a national sample of Medicare Advantage members (N=77,503). Data were derived from area-level measures and cross-sectional survey data collected between October 2019 and February 2020. Agreement between individual and individual-level social risks, sensitivity values, specificity values, positive predictive values, and negative predictive values was calculated for all measures in summer/fall 2022. RESULTS: Agreement between area and individual-level social risks ranged from 53% to 77%. Sensitivity for each risk and risk category never exceeded 42%; specificity values ranged from 62% to 87%. Positive predictive values ranged from 8% to 70%, and negative predictive values ranged from 48% to 93%. There were modest performance discrepancies across area-level measures. CONCLUSIONS: These findings provide additional evidence that area-level deprivation indices may be inconsistent indicators of individual-level social risks, supporting policy efforts to promote individual-level social screening programs in healthcare settings.

Unmet Social Needs and Patterns of Hair Cortisol Concentration in Mother-Child Dyads.

Background: Mothers and their children demonstrate dyadic synchrony of hypothalamic-pituitary-adrenal (HPA) axis function, likely influenced by shared genetic or environmental factors. Although evidence has shown that chronic stress exposure has physiologic consequences for individuals-including on the HPA axis-minimal research has explored how unmet social needs such as food and housing instability may be associated with chronic stress and HPA axis synchrony in mother-child dyads. Methods: We conducted a secondary analysis of data from 364 mother-child dyads with low-income recruited during a randomized trial conducted in an urban pediatric clinic. We used latent profile analysis (LPA) to identify subgroups based on naturally occurring patterns of within-dyad hair cortisol concentration (HCC). A logistic regression model predicted dyadic HCC profile membership as a function of summative count of survey-reported unmet social needs, controlling for demographic and health covariates. Results: LPA of HCC data from dyads revealed a 2-profile model as the best fit. Comparisons of log HCC for mothers and children in each profile group resulted in significantly "higher dyadic HCC" versus "lower dyadic HCC" profiles (median log HCC for mothers: 4.64 vs 1.58; children: 5.92 vs 2.79, respectively; P < .001). In the fully adjusted model, each one-unit increase in number of unmet social needs predicted significantly higher odds of membership in the higher dyadic HCC profile when compared to the lower dyadic HCC profile (odds ratio = 1.13; 95% confidence interval [1.04-1.23]; P = .01). Conclusion: Mother-child dyads experience synchronous patterns of physiologic stress, and an increasing number of unmet social needs is associated with a profile of higher dyadic HCC. Interventions aimed at decreasing family-level unmet social needs or maternal stress are, therefore, likely to affect pediatric stress and related health inequities; efforts to address pediatric stress similarly may affect maternal stress and related health inequities. Future research should explore the measures and methods needed to understand the impact of unmet social needs and stress on family dyads.

Understanding Take-Up Of The Earned Income Tax Credit Among Californians With Low Income.

The Earned Income Tax Credit (EITC) is the largest poverty alleviation program for families with children in the US, and it has well-documented health effects. However, not all eligible families receive benefits. The Assessing California Communities' Experiences with Safety Net Supports (ACCESS) Study interviewed 411 EITC-eligible Californians with young children to understand low take-up of the federal EITC and California's supplemental CalEITC. Interviews were conducted in English and Spanish in 2020 and 2021 to gather information on sociodemographic characteristics, tax filing, and EITC receipt (verified via tax forms). Among those eligible for the EITC or CalEITC, 9 percent of participants did not file taxes; among those who did file taxes, about 84 percent received the EITC, and 83 percent received the CalEITC. Lower likelihood of federal EITC receipt among those eligible and filing taxes was associated with being younger, not speaking English, and not having prior knowledge of the EITC. Lower likelihood of CalEITC receipt among those eligible and filing taxes was associated with not speaking English. These findings can inform policies and community interventions to increase EITC take-up and thereby help address health equity.

DMARD non-use in low-income, elderly rheumatoid arthritis patients: results of 86 structured interviews.

INTRODUCTION: Disease-modifying antirheumatic drugs (DMARDs) have become the treatment standard for patients with rheumatoid arthritis (RA). Although several general-population studies document that a large population of patients diagnosed with RA do not use DMARDs, little is known about this group. We explored the characteristics, experiences, and knowledge of a low-income, elderly RA population not currently using DMARDs, or receiving care from a rheumatologist. METHODS: We administered structured telephone interviews to participants enrolled in a large pharmacy benefits program for the elderly who had two diagnoses of RA ≥7 days apart and no DMARD prescriptions or rheumatologist visits in the prior year. The interview contained questions concerning each participant's sociodemographic information, disease activity, DMARD experiences, and the Modified Health Assessment Questionnaire (MHAQ). We described responses and compared prior users with never users. RESULTS: A total of 86 people completed the interview. The mean age was 80 years and 89% were female. On average, disease duration was 20 years. Mean MHAQ score was 0.55 (SD = 0.55). Of 86 participants, 19 had previously used DMARDs, 10 of whom discontinued them because of side effects or safety concerns. Among 67 never-users, 35 (52.2%) reported that their physicians had never offered them DMARDs, 13 (19.4%) described fear of side effects, and 49 (73.1%) knew nothing about them. Prior-users reported experiencing more-severe RA symptoms than never-users. CONCLUSIONS: We found that side effects or safety concerns were the primary cause for DMARD cessation among prior-users. Among never-users, most reported never discussing or being offered DMARDs, suggesting that an educational gap may deter patients with RA from using them.