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Background There is limited evidence on the determinants of childhood stunting across urban India or specifically in slum settlements. This study aims to assess the extent of stunting among children under 2 years of age and examine its determinants in informal settlements of Mumbai. Methods Data were collected in 2014–2015 in a post intervention census of a cluster randomized controlled trial to improve the health of women and children. Census covered 40 slum settlements of around 600 households each. A total of 3578 children were included in the study. Mixed effects logistic regression models were used to identify factors associated with stunting. Results The prevalence of stunting among children aged 0–23 months was 38%. In the adjusted model, higher maternal education (AOR 0.59; 95% CI 0.42, 0.82), birth interval of at least 2 years (AOR 0.71; 95% CI 0.58, 0.87) and intended conception of the child (AOR 0.80; 95% CI 0.64, 0.99) were associated with lower odds of stunting. Maternal exposure to physical violence (AOR 1.83; 95% CI 1.21, 2.77) was associated with higher odds of being stunted. A child aged 18–23 months had 5.04 times greater odds (95% CI 3.91, 6.5) of being stunted than a child less than 6 months of age. Male child had higher odds of being stunted (AOR 1.33; 95% CI 1.14, 1.54). Conclusions Our findings support a multidimensional aetiology for stunting. The results of the study emphasize the importance of women’s status and decision-making power in urban India, along with access to and uptake of family planning and services to provide support for survivors of domestic violence. Ultimately, a multilateral effort is needed to ensure the success of nutrition-specific interventions by focusing on the underlying health and social status of women living in urban slums. Trial registration ISRCTN Register: ISRCTN56183183 , and Clinical Trials Registry of India: CTRI/2012/09/003004

Addressing social determinants of tuberculosis (TB) is essential to achieve elimination, including in low-incidence settings. We measured the association between socio-economic status and intermediate social determinants of health (SDHs, including drug misuse, tobacco smoking and alcohol), and TB, taking into account their clustering in individuals. We conducted a case-control study in 23–38 years old UK-born White adults with first tuberculosis episode, and randomly selected age and sex frequency-matched community controls. Data was collected on education, household overcrowding, tobacco smoking, alcohol and drugs use, and history of homelessness and prison. Analyses were done using logistic regression models, informed by a formal theoretical causal framework (Directed Acyclic Graph). 681 TB cases and 1183 controls were recruited. Tuberculosis odds were four times higher in subjects with education below GCSE O-levels, compared to higher education (OR = 3.94; 95%CI: 2.74, 5.67), after adjusting for other TB risk factors (age, sex, BCG-vaccination and stays ≥3 months in Africa/Asia). When simultaneously accounting for respective SDHs, higher tuberculosis risk was independently associated with tobacco smoking, drugs use (especially injectable drugs OR = 5.67; 95%CI: 2.68, 11.98), homelessness and area-level deprivation. Population Attributable Fraction estimates suggested that tobacco and class-A drug use were, respectively, responsible for 18% and 15% of TB cases in this group. Our findings suggest that socio-economic deprivation remains a driver of tuberculosis in England, including through drugs misuse, tobacco smoking, and homelessness. These findings further support the integration of health and social services in high-risk young adults to improve TB control efforts.

PurposeSocial determinants may influence health-related quality of life (HRQOL) among women with ovarian cancer, potentially creating disparities in clinical outcomes. We investigated the relationship between HRQOL and social determinants of health, including travel distance to access cancer care and health insurance type, among women participating in a randomized trial of primary adjuvant treatment for advanced ovarian cancer.MethodsThe Functional Assessment of Cancer Therapy-Ovarian (FACT-O) questionnaire captured HRQOL (physical well-being, functional well-being, ovarian-specific, and trial outcome index [TOI]) prior to chemotherapy (baseline), during the trial, and 84 weeks after initiation of chemotherapy for women with advanced epithelial ovarian, primary peritoneal, or fallopian tube cancer. We constructed bivariate and multivariable linear mixed effects models examining the associations of social determinants of health (individual-level and contextual factors) with HRQOL scores at 84 weeks, clustering participants (n = 993) within treatment centers, and Census regions and controlling for baseline HRQOL.ResultsMost individual-level (race, age, cancer stage, adverse events) and contextual (travel distance to treatment center, community socioeconomic status) factors were not statistically significantly associated with HRQOL. Compared to participants with private health insurance, other participants had lower mean HRQOL (physical well-being: public insurance, − 1.00 (standard error[SE] = 0.49) points, uninsured, − 1.93 (SE = 0.63) points; functional well-being: public, − 1.29 (SE = 0.59), uninsured, − 1.98 (SE = 0.76); ovarian cancer-specific: public, − 1.60 (SE = 0.59), uninsured, − 1.66 (SE = 0.75); TOI: public, − 3.81 (SE = 1.46), uninsured, − 5.51 (SE = 1.86); all p < .05).ConclusionsPrivate health insurance was associated with improved HRQOL at the completion of treatment for advanced stage ovarian cancer. Implications of health insurance on HRQOL should be further investigated, particularly among women with ovarian cancer who receive standard of care treatment.

Background: Underprivileged youth in the Dominican Republic (DR) are at high risk of acquiring the human immunodeficiency virus (HIV). Protective parenting practices may inhibit sexual risk-taking. Objective: We investigated whether parental involvement in a sports-based HIV prevention program increased self-efficacy to prevent HIV and safe sex behavior among Dominican youth. Method: The study had a quasi-experimental design with repeated measures. N = 90 participants between 13 and 24 years of age participated in the program through two different trainings, UNICA and A Ganar, both of which had an experimental (i.e., program with parental component) and a control (i.e., program without parental component) condition. Results: Self-efficacy to prevent HIV significantly increased among participants in the experimental condition of UNICA. Self-efficacy for safe sex increased among sexually active participants in the experimental condition of A Ganar. Implications for Impact: These findings are important to meet the United Nations’ Sustainable Development Goal of good health and wellbeing, as they suggest that parental involvement in sports-based HIV prevention programs can enhance their positive effects for increasing youth’s self-efficacy to practice HIV-preventive behaviors. Randomized control trials and longitudinal studies are needed.

Lauren Paremoer and colleagues call for action to create a fairer and more sustainable post-covid world

Objective. There are significant socioeconomic and racial disparities in glycemic control among children with type 1 diabetes (T1D). Community health workers (CHWs) have been shown to improve outcomes in marginalized, high-risk populations. The purpose of this qualitative study was to describe the prevalence and the impact of adverse social determinants of health (SDOH) on diabetes care soon after a diagnosis of pediatric T1D, and investigate the potential supportive role of a CHW. Research Design and Methods. Caregivers of youth <17-year old, with new onset T1D, and government insurance at the time of diagnosis were enrolled. Baseline demographic and SDOH questionnaires were administered at the time of enrollment. Semistructured interviews were performed at 3 months after diagnosis to explore the effect of SDOH on diabetes care and the impact of a CHW. Results. Seventeen caregivers were enrolled, 10 were randomly assigned to a CHW. Two-thirds of caregivers identified at least one SDOH need at enrollment; 35% of caregivers identified two SDOH needs. Interviews revealed that the two major themes identified as barriers to diabetes care were caregivers’ employment and financial issues. Social support was identified as a facilitator. The transition from hospital to home after the diagnosis of T1D was improved for families working with a CHW, and the CHW was identified as a strong source of support. Conclusions. There is a high prevalence of adverse SDOH in families from lower socioeconomic status at the time of diagnosis of pediatric T1D. These SDOH have a significant impact on families’ abilities to care for their children. Preliminary data suggest that CHWs can be a facilitator to the diabetes care. This trial is registered with NCT04238949.

Abstract Context Minority young adults (YA) currently represent the largest growing population with type 1 diabetes (T1D) and experience very poor outcomes. Modifiable drivers of disparities need to be identified, but are not well-studied. Objective To describe racial-ethnic disparities among YA with T1D and identify drivers of glycemic disparity other than socioeconomic status (SES). Design Cross-sectional multicenter collection of patient and chart-reported variables, including SES, social determinants of health, and diabetes-specific factors, with comparison between non-Hispanic White, non-Hispanic Black, and Hispanic YA and multilevel modeling to identify variables that account for glycemic disparity apart from SES. Setting Six diabetes centers across the United States. Participants A total of 300 YA with T1D (18-28 years: 33% non-Hispanic White, 32% non-Hispanic Black, and 34% Hispanic). Main Outcome Racial-ethnic disparity in HbA1c levels. Results Non-Hispanic Black and Hispanic YA had lower SES, higher HbA1c levels, and much lower diabetes technology use than non-Hispanic White YA (P < 0.001). Non-Hispanic Black YA differed from Hispanic, reporting higher diabetes distress and lower self-management (P < 0.001). After accounting for SES, differences in HbA1c levels disappeared between non-Hispanic White and Hispanic YA, whereas they remained for non-Hispanic Black YA (+ 2.26% [24 mmol/mol], P < 0.001). Diabetes technology use, diabetes distress, and disease self-management accounted for a significant portion of the remaining non-Hispanic Black–White glycemic disparity. Conclusion This study demonstrated large racial-ethnic inequity in YA with T1D, especially among non-Hispanic Black participants. Our findings reveal key opportunities for clinicians to potentially mitigate glycemic disparity in minority YA by promoting diabetes technology use, connecting with social programs, and tailoring support for disease self-management and diabetes distress to account for social contextual factors.

BACKGROUND:Social determinants affect health, yet there are few systematic clinical strategies in primary care that leverage electronic health record (EHR) automation to facilitate screening for social needs and resource referrals. An EHR-based social determinants of health (SDOH) screening and referral model, adapted from the WE CARE model for pediatrics, was implemented in urban adult primary care. OBJECTIVES:This study aimed to(1) understand the burden of SDOH among patients at Boston Medical Center; and (2) evaluate the feasibility of implementing a systematic clinical strategy to screen new primary care patients for SDOH, use EHR technology to add these needs to the patient’s chart through autogenerated ICD-10 codes, and print patient language-congruent referrals to available resources upon patient request. RESEARCH DESIGN:This observational study assessed the number of patients who were screened to be positive and requested resources for social needs. In addition, we evaluated the feasibility of implementing our SDOH strategy by determining the proportion ofeligible patients screened, providers signing orders for positive patient screenings, and provider orders for resource referral guides among patients requesting resource connections. RESULTS:In total, 1696 of 2420 (70%) eligible patients were screened. Employment (12%), food insecurity (11%), and problems affording medications (11%) were the most prevalent concerns among respondents. In total, 367 of 445 (82%) patients with ≥1 identified needs (excluding education) had the appropriate ICD-10 codes added to their visit diagnoses. In total, 325 of 376 (86%) patients who requested resources received a relevant resource referral guide. CONCLUSIONS:Implementing a systematic clinical strategy in primary care using EHR workflows was successful in identifying and providing resource information to patients with SDOH needs.

Relieving adult poverty, paying a living wage, reduction in fuel poverty, improving working conditions, improving neighbourhoods, and taking steps to reduce social isolation in elderly people can save lives.1 The health gradient to which these life course influences give rise is dramatic.

Non-medical interventions are increasingly being proposed to address wider determinants of health and to help patients improve health behaviours and better manage their conditions. 1 2 This is known as social prescribing. In England, the NHS Long Term Plan states that nearly one million people will qualify for referral to social prescribing schemes by 2023-24.3 Primary care networks, announced as part of the 2019 GP contract, will be funded to employ one social prescriber each from 2019.4 The social prescribing approach is also attracting interest in North America, 3 5 Australia, 6 and Scandinavia. 7 This clinical update outlines what social prescribing is, the evidence behind it, and offers some tips for embedding social prescribing within healthcare systems.