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The measles is a highly contagious disease that can be prevented by vaccination. During and after crises, vaccination against measles decreases in low-income countries, leading to outbreaks. It is possible for developed countries to be at risk from these outbreaks through travel. Low-income countries' health systems are not resilient to crises. Lack of capacity among these countries causes a decrease in vaccinations. As a result, we provide some recommendations for increasing the resilience of the health system in low-income countries in this letter.

Background: Adults with cancer have higher rates of comorbidity compared to those without cancer, with excess burden in people from lower socioeconomic status (SES). Social deprivation, based on geographic indices, broadens the focus of SES to include the importance of "place" and its association with health. Further, social support is a modifiable resource found to have direct and indirect effects on health in adults with cancer, with less known about its impact on comorbidity., Purpose: We prospectively examined associations between social deprivation and comorbidity burden and the potential buffering role of social support., Methods: Our longitudinal sample of 420 adults (Mage = 59.6, SD = 11.6; 75% Non-Hispanic White) diagnosed with cancer completed measures at baseline (~6 months post-diagnosis) and four subsequent 3-month intervals for 1 year., Results: Adjusting for age, cancer type, and race/ethnicity, we found a statistically significant interaction between social support and the effect of social deprivation on comorbidity burden (β = -0.11, p = 0.012), such that greater social support buffered the negative effect of social deprivation on comorbidity burden., Conclusion: Implementing routine screening for social deprivation in cancer care settings can help identify patients at risk of excess comorbidity burden. Clinician recognition of these findings could trigger a referral to social support resources for individuals high on social deprivation., (© Society of Behavioral Medicine 2024. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Introduction: Poverty is one of the macro factors that has been little studied in terms of its effect on death from COVID-19 since most studies have focused only on investigating whether the pandemic increased poverty or not. With that on mind, the present study aims to analyze how the social deprivations that comprise the measurement of municipal poverty in interaction with health comorbidities and sociodemographic characteristics, increased the probability of death from COVID-19., Methods: The study is cross-sectional and covers daily reports on the conditions of COVID-19 in the Mexican population for almost 2 years. Using data from the National Epidemiological Surveillance System and the National Council for Evaluation of the Social Development Policy ( N  = 5,387,981), we employ a Generalized Linear Mixed Model (GLMM), specifically a binomial generalized linear mixed model., Results: The findings indicate that, besides comorbidities, sociodemographic traits, and clinical aspects, living in a municipality where one or more of the social deprivations exist increases the probability of death. Specifically, in those municipalities where there is deprivation in education, social security, and food, as well as deprivation due to access to health services and deprivation in household services, the probability of death was greater., Discussion: Living in a municipality with one or more of the social deprivations that compose poverty generated a greater probability of death. Each one of them or together, shows that poverty is a substantial factor for a pandemic like COVID-19 to worsen contagion and death, becoming a circle from which it is difficult to escape., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Martínez-Martínez, Ramírez-López, Coutiñho and Reyes-Martínez.)

This study aimed to estimate the trends in the body mass index (BMI) and prevalence of obesity among United States (U.S.) adolescents (10-19 years) and to examine the associations between sociodemographic factors and both BMI and obesity prevalence. The 2007-2020 National Health and Nutrition Examination Survey (NHANES), a nationally representative repeated cross-sectional survey data (n = 9,826) were used. Outcomes included: 1) Mean BMI and 2) obesity (yes/no; defined as BMI ≥95% percentile). Sociodemographic variables included age, sex, race/ethnicity, and poverty income ratio (PIR; low-income <1.3, middle-income ≥1.3 and <3.5, high-income ≥3.5). By accounting for the complex survey design, weighted generalized linear/Poisson models were used to conduct the analyses. Girls constituted 49% of the sample. From 2007-2008 to 2017-2020, there was an increase in BMI and obesity prevalence, particularly among Black and Hispanic adolescents, and those from low- and middle-income families. Additionally, there was an increase in obesity prevalence among both boys and girls. However, there were no significant changes in BMI and obesity prevalence in the other race and ethnic adolescents. Girls had a 12% (Adjusted Prevalence Ratio [APR] = 0.88; 95% CI, 0.81-0.96) lower likelihood of being obese than boys. Compared to White adolescents, Black and Hispanic adolescents had 22% (APR = 1.22; 95% CI, 1.06-1.40) and 19% (APR = 1.19; 95% CI, 1.05-1.36) greater risk of being obese. Compared to high-income families, adolescents from low- and middle-income families had 62% (APR = 1.62; 95% CI, 1.39-1.90) and 47% (APR = 1.47; 95% CI, 1.24-1.76) greater risk of being obese, respectively. The results indicated persistent disparities in obesity prevalence among different race/ethnic and sociodemographic groups. Future obesity intervention should address key disparities by targeting specific race/ethnic adolescents from low-income families and promoting health equality., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Deng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Poor diet quality is a key modifiable risk factor for hypertension and disproportionately impacts low-income women. Analyzing diet-driven hypertensive outcomes in this demographic is challenging due to the complexity of dietary data and selection bias when the data come from surveys, a main data source for understanding diet-disease relationships in understudied populations. Supervised Bayesian model-based clustering methods summarize dietary data into latent patterns that holistically capture relationships among foods and a known health outcome but do not sufficiently account for complex survey design. This leads to biased estimation and inference and lack of generalizability of the patterns. To address this, we propose a supervised weighted overfitted latent class analysis (SWOLCA) based on a Bayesian pseudo-likelihood approach that integrates sampling weights into an exposure-outcome model for discrete data. Our model adjusts for stratification, clustering, and informative sampling, and handles modifying effects via interaction terms within a Markov chain Monte Carlo Gibbs sampling algorithm. Simulation studies confirm that the SWOLCA model exhibits good performance in terms of bias, precision, and coverage. Using data from the National Health and Nutrition Examination Survey (2015-2018), we demonstrate the utility of our model by characterizing dietary patterns associated with hypertensive outcomes among low-income women in the United States., (© The Author(s) 2024. Published by Oxford University Press on behalf of The International Biometric Society.)

This article aims to analyze spatial and temporal patterns of maternal mortality in Brazil during the period 2010-2020 and identify related socioeconomic indicators. We conducted an ecological study of the maternal mortality ratio (MMR) in Brazil's municipalities using secondary data. Temporal analysis was performed using the joinpoint method. Bayesian statistics, spatial autocorrelation, the Getis Ord Gi* technique and the scan statistic were used to identify spatial clusters, and multiple non-spatial and spatial regression models were used to assess the association between factors and the MMR. There was an increase in the MMR in 2020 and an increase in deaths in the North and Southeast. Clusters were found in Amazonas, Tocantins, Piauí, Maranhão, Bahia and Mato Grosso do Sul. The following indicators were negatively associated with the MMR: cesarean section rate, Municipal Human Development Index, and per capita household income of people who are vulnerable to poverty. The MMR was stable up to 2019, followed by a sharp rise in 2020 coinciding with the onset of the Covid-19 pandemic in the country. It is essential that efforts to reduce maternal mortality in Brazil extend beyond the promotion of improvements in antenatal, childbirth and postpartum care to address the social determinants of the problem.

Background: Adverse childhood experiences (ACEs) affect up to half the general population, they are known to co-occur, and are particularly common among those experiencing poverty. Yet, there are limited studies examining specific patterns of ACE co-occurrence considering their developmental timing., Objective: To examine the longitudinal co-occurrence patterns of ACEs across childhood and adolescence, and to examine the role of poverty in predicting these., Participants and Setting: The sample was 8859 children from the Avon Longitudinal Study of Parents and Children, a longitudinal prospective population-based UK birth cohort., Methods: Repeated measures of ten ACEs were available, occurring in early childhood (birth-5 years), mid-childhood (6-10 years), and adolescence (11-16 years). Latent class analysis was used to identify groups of children with similar developmental patterns of ACEs. Multinomial regression was used to examine the association between poverty during pregnancy and ACE classes., Results: Sixteen percent of parents experienced poverty. A five-class latent model was selected: "Low ACEs" (72·0 %), "Early and mid-childhood household disharmony" (10·6 %), "Persistent parental mental health problems" (9·7 %), "Early childhood abuse and parental mental health problems" (5·0 %), and "Mid-childhood and adolescence ACEs" (2·6 %). Poverty was associated with a higher likelihood of being in each of the ACE classes compared to the low ACEs reference class. The largest effect size was seen for the "Early and mid-childhood household disharmony" class (OR 4·70, 95 % CI 3·68-6·00)., Conclusions: A multifactorial approach to preventing ACEs is needed - including support for parents facing financial and material hardship, at-risk families, and timely interventions for those experiencing ACEs., Competing Interests: Declaration of competing interest None., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Sugar-sweetened beverage (SSB) consumption is strongly associated with obesity. Autonomous motivation and self-efficacy, key concepts of self-determination theory, may influence SSB consumption. Low-income mothers of young children experience disproportionate rates of obesity. Whether autonomous motivation and self-efficacy are associated with SSB consumption in low-income mothers of young children is unknown. This exploratory secondary data analysis explored whether autonomous motivation or self-efficacy were associated with SBB consumption using data from a lifestyle intervention for low-income, overweight or obese mothers with young children. Participants (N = 311) completed surveys assessing autonomous motivation, self-efficacy, and SSB consumption at baseline, after the 16-week intervention, and at 3-month follow-up. Using baseline data, we performed linear regression models to explore associations of self-efficacy and autonomous motivation with SSB consumption. We also performed mixed effects models to explore whether autonomous motivation or self-efficacy were associated with SSB consumption over time. At baseline, a one-point increase in autonomous motivation and self-efficacy were associated with 4.36 (p < 0.001) and 6.43 (p = 0.025) fewer ounces of SSB consumption per day, respectively. In longitudinal models, SSB consumption decreased over time. Change in SSB consumption was associated with self-efficacy (B = -4.88; p = 0.015) and autonomous motivation (B = -2.29; p = 0.008). Our findings suggest self-efficacy and autonomous motivation may influence SSB consumption among mothers of young children with overweight and obesity. Further investigation should explore if self-efficacy and autonomous motivation have long-term effects on SSB consumption., (© 2024 The Author(s). Research in Nursing & Health published by Wiley Periodicals LLC.)

Background: Children living in poverty and those of marginalized race or ethnicity experience inferior disease outcomes across many cancers. Whether survival disparities exist in osteosarcoma is poorly defined. We investigated the association between race, ethnicity, and proxied poverty exposures and event-free and overall survival for children with nonmetastatic osteosarcoma receiving care on a cooperative group trial., Methods: We conducted a retrospective cohort study of US patients with nonmetastatic, osteosarcoma aged 5-21 years enrolled on the Children's Oncology Group trial AOST0331. Race and ethnicity were categorized to reflect historically marginalized populations, as Hispanic, non-Hispanic Black, non-Hispanic Other, and non-Hispanic White. Poverty was proxied at the household and neighborhood levels. Overall survival and event-free survival functions of time from trial enrollment were estimated using the Kaplan-Meier method. Hypotheses of associations between risks for event-free survival, death, and postrelapse death with race and ethnicity were assessed using log-rank tests., Results: Among 758 patients, 25.6% were household-poverty and 28.5% neighborhood-poverty exposed. Of the patients, 21% of children identified as Hispanic, 15.4% non-Hispanic Black, 5.3% non-Hispanic Other, and 54.0% non-Hispanic White. Neither household or neighborhood poverty nor race and ethnicity were statistically significantly associated with risks for event-free survival or death. Postrelapse risk for death differed statistically significantly across race and ethnicity with non-Hispanic Black patients at greatest risk (4-year postrelapse survival 35.7% Hispanic vs 13.0% non-Hispanic Black vs 43.8% non-Hispanic Other vs 38.9% non-Hispanic White; P = .0046)., Conclusions: Neither proxied poverty exposures or race and ethnicity were associated with event-free survival or overall survival, suggesting equitable outcomes following frontline osteosarcoma trial-delivered therapy. Non-Hispanic Black children experienced statistically significant inferior postrelapse survival. Investigation of mechanisms underlying postrelapse disparities are paramount., (© The Author(s) 2024. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Increasing numbers of underserved people with chronic diseases and decreasing providers in rural areas have contributed to the care shortage in the United States. Nurse-led telehealth/mobile care models have potential benefits for this population. However, there is a substantial gap in the literature regarding this topic., Purpose: To examine the available literature on nurse-led telehealth/mobile health care models with a particular focus on care model settings, nursing roles, care components, achieved outcomes, and the identification of both facilitative factors and encountered challenges. The ultimate goal is to offer recommendations based on these findings, thereby aiding the development or refinement of evidence-based care models that meet to the unique needs of low-income populations., Methodology: Literature published from 2010 to 2023 was searched in six electronic databases (Cumulative Index to Nursing and Allied Health Literature, Communication and Mass Media Complete, Medline, APA PsycINFO, Social Sciences Index, and Web of Science databases)., Results: Commonalities identified among included studies with significant improvements were the provision of home monitors and education to participants, multiple engagements, and extensive community and/or family involvement., Conclusions: Nurse-led telehealth/mobile health care models for chronic diseases are an emerging approach. Nurse educators must ensure that future nurses are adept in diverse telehealth modes, collaborating across disciplines. Leveraging advanced practice registered nurses and interdisciplinary teams provides holistic care., Implications: Our review outlined recent research findings that suggest enhanced patient outcomes through technology, communication, and community support. In addition, we offered suggestions for future research and practice, emphasizing the importance of exploring the requirements of diverse and underserved communities., Competing Interests: Competing interests: The authors report no conflicts of interest., (Copyright © 2024 American Association of Nurse Practitioners.)

Background: The Supplemental Nutrition Assistance Program (SNAP) has been established to reduce food insecurity. Limited evidence is available on SNAP participation status over time and depressive symptoms. We aimed to examine the associations of SNAP status over time among low-income individuals, with depressive symptoms in the U.S., Methods: NHANES participants aged ≥20 years of low family income from 2011 to 2018 with information available on depressive symptoms and SNAP use were included in analysis. Depressive symptoms were assessed using 9-item Patient Health Questionnaire (PHQ-9), and PHQ-9 score ≥ 10 is indicative of significant depressive symptoms. Multivariable linear and logistic regressions models were conducted to examine the associations of SNAP participation status over time (never receiving SNAP, receiving SNAP prior to >12 months ago, current receiving SNAP, receiving SNAP in the last 12 months but not currently) with depressive symptoms and significant depressive symptoms., Results: Currently receiving SNAP (beta (β) = 0.17, 95 % CI: 0.10, 0.25; odds ratio (OR) = 1.52, 95 % confidence interval (CI): 1.16, 2.00) and receiving SNAP in the last 12 months but not currently (β = 0.24, 95 % CI: 0.04, 0.43; OR = 1.83, 95 % CI: 1.16, 2.89) were associated with higher depressive symptoms and higher prevalence of significant depressive symptoms., Limitations: The cross-sectional design precludes causal interpretation, and key variables were measured with self-report., Conclusion: Receiving SNAP in the last 12 months was associated with higher levels of depressive symptoms among individuals with low family income. Improvement on diet quality may be important for reducing depressive symptoms among SNAP users., Competing Interests: Declaration of competing interest The authors had no conflict of interest., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Objectives: To identify (1) who experiences food insecurity of differing severity and (2) who uses food banks in England, Wales and Northern Ireland; (3) whether the same groups experience food insecurity and use food banks; and (4) to explore country- and region-level differences in food insecurity and food bank use., Design: This pooled cross-sectional study analysed the characteristics of adults experiencing food insecurity of differing severity using generalised ordinal logistic regression models and the characteristics of adults using food banks using logistic regression models, using data from three waves of the Food and You 2 surveys, 2021-2023., Setting: England, Wales and Northern Ireland., Participants: 18 557 adults., Results: 20·8 % of respondents experienced food insecurity in the past 12 months, and 3·6 % had used a food bank. Food insecurity was associated with income, working status, respondent age, family type, ethnicity, country, long-term health conditions, food hypersensitivity, urban-rural status and area-level deprivation. Severe food insecurity was concentrated among respondents with long-term health conditions and food hypersensitivities. Food bank use was more prevalent among food insecure respondents and unemployed and low-income respondents. Neither outcome showed clear geographical variation. Certain groups experienced an elevated likelihood of food insecurity but did not report correspondingly greater food bank use., Conclusions: Food insecurity is unevenly distributed, and its nutrition and health-related consequences demonstrate that food insecurity will intensify health inequalities. The divergence between the scale of food insecurity and food bank use strengthens calls for adequate policy responses.

Introduction: Smoking households in Indonesia diverted a significant share of their budget to tobacco. Tobacco expenditure is deemed unproductive, as it crowds out resources from essential commodities and increases health care expenditure driven by tobacco-induced diseases. Therefore, despite having adequate resources, some smoking families in Indonesia may spend less on basic needs, which inadvertently puts their standard of living below the poverty line., Aims and Methods: Employing data from 2021 (March) Indonesia's Socioeconomic Survey (SUSENAS), this research aims to quantify the impoverishing effect of tobacco consumption in Indonesia, considering spending on tobacco and tobacco-attributable health care costs as unproductive expenditure. The de facto headcount poverty rate and poverty gap index are calculated by removing tobacco expenditures and tobacco-attributable health care expenditures from the household's total spending., Results: Accounting for unproductive spending related to tobacco use, Indonesia's headcount poverty ratio in March 2021 would rise by 3.22 percentage points, equivalent to an additional 8.75 million people living below the poverty line. In addition, the poverty gap index would increase by 0.77 percentage points. The impoverishment effect of tobacco is larger among rural populations than their urban counterparts. Moreover, the impoverishment is mainly driven by direct tobacco spending rather than tobacco-attributable health care expenditure., Conclusions: Significant portions of Indonesia's population are exposed to secondary poverty because of tobacco use. A high level of cigarette spending among smoking households is the major source of the impoverishing effect of tobacco use., Implications: The study provides quantitative evidence of the true cost of smoking in Indonesia, where the de facto number of the poor population after accounting for tobacco-related spending is higher than what is published in the official statistics. The findings of this study support tobacco control policies in Indonesia, particularly to effectively reduce tobacco use and mitigate the impoverishing impact of tobacco use on low-income households., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

The rise in obesity and related chronic noncommunicable diseases (NCDs) during recent decades in Brazil has been associated with increases in the financial burden and risk of impoverishment due to out-of-pocket (OOP) health expenditure. Thus, this study investigated trends and predictors associated with impoverishment due to health expenditure, in the population of São Paulo city, Brazil, between 2003 and 2015. Household data from the São Paulo Health Survey (n = 5475) were used to estimate impoverishment linked to OOP health expenses, using the three thresholds of International Poverty Lines (IPLs) defined by the World Bank at 1.90, 3.20, and 5.50 dollars per capita per day purchasing power parity (PPP) in 2011. The results indicated a high incidence of impoverishment due to OOP disbursements for health care throughout the period, predominantly concentrated among low-income individuals. Lifestyle choices referring to leisure-time physical activity (OR = 0.766 at $3.20 IPL, and OR = 0.789 at $5.50 IPL) were linked to reduction in the risk for impoverishment due to OOP health expenditures whilst there were increases in the probability of impoverishment due to cardiometabolic risk factors referring to obesity (OR = 1.588 at $3.20 IPL, and OR = 1.633 at $5.50 IPL), and diagnosis of cardiovascular diseases (OR = 2.268 at $1.90 IPL, OR = 1.967 at $3.20 IPL, and OR = 1.936 at $5.50 IPL). Diagnosis of type 2 diabetes mellitus was associated with an increase in the probability of impoverishment at only the $1.90 IPL (OR = 2.506), whilst coefficients for high blood pressure presented lack of significance in the models. Health policies should focus on interventions for prevention of obesity to ensure the financial protection of the population in São Paulo city, Brazil, especially targeting modifiable lifestyle choices like promotion of physical activity and reduction of tobacco use.

Anorectal malformations (ARMs) consist of a range of anomalies that are often associated with other anomalies The purpose of the study is to assess the incidence of associated congenital anomalies that are seen in patients with ARMs. An observational prospective study was conducted on 162 cases with ARM from February 2019 to January 2020, and data were collected on patient demographics, type of ARM, and associated anomalies using a prestructured questionnaire and analysis done using SPSS (IBM), version 23, software. Relevant statistical analysis was done, and the results are presented in tables and charts. Of 162 cases studied, 70 of them were males and 92 were females with a male-to-female ratio of 0.76:1. The majority of male patients (45%) had rectourethral fistulas, whereas 63% of the females had rectovestibular fistula. While 76 (47%) patients presented with isolated ARM, 86 (53%) had ≥1 associated congenital malformations. Forty-eight (30%) patients presented with a single associated anomaly, whereas 20 (12%) patients had≥3 associated anomalies. The commonest associated anomalies were urologic 26.5% followed by genital (22.8%), cardiac 20.4%, and musculoskeletal 16.6%, and 12.3% of them had vertebral; anorectal; cardiac; tracheoesophageal fistula; renal; limb association. More than half of the children have other associated abnormalities. We found urogenital anomalies to be the most common associated congenital defects. A lower incidence of cardiac and spinal cord anomalies was noted suggesting a need for active workup to be in line with the latest standards of care., Competing Interests: The authors have no funding and conflicts of interest to disclose., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)

Background: Self-employment is a significant component of South Korea's labor force; yet, it remains relatively understudied in the context of occupational safety and health. Owing to different guidelines for health checkup participation among economically active individuals, disparities in health maintenance may occur across varying employment statuses., Objective: This study aims to address such disparities by comparing the risk of all-cause mortality and comorbidities between the self-employed and employee populations in South Korea, using nationwide data. We sought to provide insights relevant to other countries with similar cultural, social, and economic contexts., Methods: This nationwide retrospective study used data from the Korean National Health Insurance Service database. Participants (aged 20-59 y) who maintained the same insurance type (self-employed or employee insurance) for ≥3 years (at least 2008-2010) were recruited for this study and monitored until death or December 2021-whichever occurred first. The primary outcome was all-cause mortality. The secondary outcomes were ischemic heart disease, ischemic stroke, cancer, and hospitalization with a mental illness. Age-standardized cumulative incidence rates were estimated through an indirect method involving 5-unit age standardization. A multivariable Cox proportional hazards model was used to estimate the adjusted hazard ratio (HR) and 95% CI for each sex stratum. Subgroup analyses and an analysis of the effect modification of health checkup participation were also performed., Results: A total of 11,652,716 participants were analyzed (follow-up: median 10.92, IQR 10.92-10.92 y; age: median 42, IQR 35-50 y; male: n=7,975,116, 68.44%); all-cause mortality occurred in 1.27% (99,542/7,851,282) of employees and 3.29% (124,963/3,801,434) of self-employed individuals (P<.001). The 10-year cumulative incidence rates of all-cause mortality differed significantly by employment status (1.1% for employees and 2.8% for self-employed individuals; P<.001). The risk of all-cause mortality was significantly higher among the self-employed individuals when compared with that among employees, especially among female individuals, according to the final model (male: adjusted HR 1.44, 95% CI 1.42-1.45; female: adjusted HR 1.89, 95% CI 1.84-1.94; P<.001). The risk of the secondary outcomes, except all types of malignancies, was significantly higher among the self-employed individuals (all P values were <.001). According to subgroup analyses, this association was prominent in younger individuals with lower incomes who formed a part of the nonparticipation groups. Furthermore, health checkup participation acted as an effect modifier for the association between employment status and all-cause mortality in both sexes (male: relative excess risk due to interaction [RERI] 0.76, 95% CI 0.74-0.79; female: RERI 1.13, 95% CI 1.05-1.21)., Conclusions: This study revealed that self-employed individuals face higher risks of all-cause mortality, cardio-cerebrovascular diseases, and mental illnesses when compared to employees. The mortality risk is particularly elevated in younger, lower-income individuals who do not engage in health checkups, with health checkup nonparticipation acting as an effect modifier for this association., (© Byungyoon Yun, Heejoo Park, Jaesung Choi, Juyeon Oh, Juho Sim, Yangwook Kim, Jongmin Lee, Jin-Ha Yoon. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org).)

Background: Open defecation (OD) is the disposal of human excreta in the fields, bushes, water bodies and other open spaces. It poses a public health risk as it can lead to the spread of diarrhoea, cholera, soil-transmitted helminths and trachoma. Kenya aims to achieve 100% open defecation free status by 2030 in line with Sustainable development goal number 6. This study sought to determine factors influencing OD at the household level as well as quantify the number of households practicing OD in each of the 47 Kenyan counties., Methods: Data from the household questionnaire of the Kenya Demographic and Health Survey, 2022 was analysed. Bivariate logistic regression was done with open defecation status as the dependent variable. Independent variables were poverty status, place of residence, ownership of farm animals, gender and educational level of household head. The number of households practicing OD per county were determined using the Kenya Census report of 2019., Results: Poverty was the strongest predictor of a household practicing OD (OR 43.8 95% CI 26.1-73.8) followed by educational status of the household head (OR 3.3 95% CI 2.3-4.6 ) and the household not owning livestock ( OR 0.7 95% CI 0.6-0.9). An estimated 7.4% of households practice OD. These are estimated to be 814,223 households. Out of these, 686,051 households (84.3%) are found in the 15 counties ranked as having a high population practicing OD. Five counties have managed to eliminate OD and another nine have OD rates of less than 0.5%., Conclusion: Kenya has made commendable progress in eliminating OD. Poverty is a significant predictor of OD at the household level. To eliminate OD, it is advised that more efforts be targeted towards poor households as well as the 15 counties having a high number of OD-practicing households., (© 2024. The Author(s).)

Introduction: Poverty poses a significant barrier to accessing healthcare globally, particularly in relation to antenatal care (ANC) visits and the use of childbirth facilities, both of which are crucial for women's health and fetal well-being. In Somaliland, only 47% of pregnant women attend healthcare facilities for ANC, with a mere 33% receiving care from skilled birth attendants. Despite this, no previous studies have examined the relationship between poverty and maternal healthcare utilization in Somaliland. This study aims to investigate the effect of poverty on maternal healthcare utilization with focus on ANC visits and the choice of place of birth in Somaliland., Method: Utilizing data from the 2020 Somaliland Demographic Health Survey, a cross-sectional study design was employed, analyzing a nationally representative sample. The sample size used in this study was 3,183 women of reproductive age. Descriptive analysis, negative binomial regression, and multinomial logistic regression were conducted using Stata version 18.0. Diagnostic tests, including Chi-square - 2log likelihood statistic, Akaike Information Criterion, and Bayesian Information Criterion, were employed to evaluate model fit., Results: Poverty, as indicated by wealth quintile, was associated with reduced ANC visits (adjusted incidence rate ratio (aIRR) = 0.884, 95% CI: 0.791-0.987) among women in poorer households compared to those in richer households. Women in Togdheer, Sool, and Sanaag regions had lower ANC visit rates compared to Maroodi Jeex region (aIRR = 0.803, 95% CI: 0.687-0.939; aIRR = 0.710, 95% CI: 0.601-0.839; aIRR = 0.654, 95% CI: 0.558-0.768, respectively). Women from poorer households had lower probabilities of opting for public health facilities (adjusted relative risk ratio (aRRR) = 0.457, 95% CI: 0.352-0.593) and private health facilities (aRRR = 0.195, 95% CI: 0.111-0.341) over home births compared to women in richer households. Women in Togdheer, Sool, and Sanaag regions had lower probabilities of choosing public (aRRR range: 0.331-0.175) and private (aRRR range: 0.350-0.084) health facilities for delivery over home births compared to women in Maroodi Jeex region., Conclusion: Poverty significantly impedes maternal healthcare utilization, contributing to lower ANC attendance and preference for home births over public or private health facility births. Addressing these disparities requires initiatives to eliminate financial barriers, such as user fees, and enhance equitable access through community-based health insurance and improved healthcare infrastructure., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Abdi, MK and Adem.)

Objective: To describe the prevalence of food poverty according to dimensions of socio-economic inequality and the food groups consumed by Brazilian children., Design: Dietary data from a structured qualitative questionnaire collected by the Brazilian National Survey on Child Nutrition (ENANI-2019) were used. The new UNICEF indicator classified children who consumed 3-4 and <3 out of the eight food groups as living in moderate and severe food poverty, respectively. The prevalence of consumption of each food group and ultra-processed foods (UPF) was estimated by level of food poverty according to age categories (6-23; 24-59 months). The most frequent combinations of food groups consumed by children living in severe food poverty were calculated. Prevalence of levels of food poverty were explored according to socio-economic variables., Setting: 123 municipalities of the five Brazilian macro-regions., Participants: 12 582 children aged 6-59 months., Results: The prevalence of moderate and severe food poverty was 32·5 % (95 % CI 30·1, 34·9) and 6·0 % (95 % CI 5·0, 6·9), respectively. Children whose mother/caregiver had lower education (<8 years) and income levels (per capita minimum wage <¼) had the highest severe food poverty prevalence of 8·3 % (95 % CI 6·2, 10·4) and 7·5 % (95 % CI 5·6, 9·4), respectively. The most consumed food groups among children living in food poverty in all age categories were 'dairy products', 'grains, roots, tubers, and plantains' and 'ultra-processed foods'., Conclusion: Food poverty prevalence was high among Brazilian children. A significant occurrence of milk consumption associated with grains and a considerable prevalence of UPF consumption were found among those living in severe food poverty.

Objective: To understand the physical health condition and its influencing factors among the low-income population., Method: Low-income residents who visited or consulted at our Hospital during 2022 were selected for this study. Through telephone or face-to-face interviews, a self-made basic information questionnaire was used for data collection. The physical health level of the low-income population was analyzed, and a logistic regression model was applied to study its influencing factors., Results: A total of 2,307 people were included in this study, of which 2,069 had various types of diseases, indicating a disease rate of 89.68%. Multivariate logistic regression analysis showed that age ≥ 60 years old (OR = 1.567, 95%CI: 1.122-2.188), poor mental health status (OR = 2.450, 95%CI: 1.203-3.678), smoking (OR = 1.752, 95%CI: 1.269-2.206), pulse pressure difference ≥ 60 (OR = 1.485, 95%CI: 1.164-1.787), and poor hearing (OR = 1.268, 95%CI: 1.026-1.324) were risk factors for disease, whereas being female (OR = 0.729, 95%CI: 0.540-0.984) was a protective factor for physical health., Conclusion: As a developing country with a large population, we should particularly focus on the physical health issues of the low-income population, take targeted measures for disease situations, and improve the quality of life of the low-income population., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Li, Jiang, Wu, Ji, Tian, Yang and Zhu.)

Introduction: Globally, nearly half of all deaths among children under the age of five are linked to undernutrition. These tragic outcomes are most prevalent in low- and middle-income countries. The far-reaching impact of malnutrition affects not only individuals but also their families, communities, and entire nations. By examining underweight, we gain valuable insights into the intricate network of factors influencing child health. Therefore, this study aims to assess underweight prevalence and its associated factors among under-five children in low and lower-middle-income African countries., Method: We conducted a secondary analysis of standard demographic and health surveys in 30 low and lower-middle-income African countries spanning from 2012 to 2022. Our analysis included a total sample of 200,655 children under the age of 5 years. We employed a three-level hierarchical model to assess the determinants of underweight among children in this age group. Measures of association were evaluated using adjusted odds ratios with a 95% confidence interval. Explanatory variables with a p -value less than the level of significance (0.05) were considered statistically significant., Result: The pooled prevalence of underweight among children under the age of five in low and lower-middle income African countries was estimated at 17.60%, with a 95% confidence interval (CI) ranging from 17.44 to 17.77%. The hierarchical analysis identified several factors significantly associated with underweight, including male gender, birth size, maternal body mass index, maternal educational level, household wealth index, antenatal care (ANC) visits, community poverty level, and income level of countries., Conclusion: The high prevalence of underweight among children under the age of five in low and lower-middle income African countries underscores the need for targeted interventions. By addressing individual, community, and country-level factors, we can work toward improving child nutrition and well-being., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Tamir, Zegeye, Workneh and Mekonen.)

Objective: Social determinants of health (SDoH), such as food and financial insecurity and food assistance, are potentially modifiable factors that may influence breastfeeding initiation and duration. Knowledge gaps exist regarding the relationship between these SDoH and infant feeding practices. We explored the relationships of food and financial insecurity and food assistance with the continuation of breastfeeding at four months postpartum among mothers and whether race and ethnicity modified these associations., Design: Mothers retrospectively reported food and financial insecurity and receipt of food assistance (e.g. Women, Infants and Children and Supplemental Nutrition Assistance Program) during pregnancy with their first child and infant feeding practices (exclusive/mostly breastfeeding v . exclusive/mostly formula feeding) following the birth of their first child. Sociodemographic-adjusted modified Poisson regressions estimated prevalence ratios and 95 % CI., Setting: Minneapolis-St. Paul, Minnesota., Participants: Mothers who participated in the Life-course Experiences And Pregnancy study (LEAP) ( n 486)., Results: Ten percent of mothers reported food insecurity, 43 % financial insecurity and 22 % food assistance during their pregnancies. At four months postpartum, 63 % exclusively/mostly breastfed and 37 % exclusively/mostly formula-fed. We found a lower adjusted prevalence of breastfeeding at four months postpartum for mothers who reported experiencing food insecurity (0·65; 0·43-0·98) and receiving food assistance (0·66; 0·94-0·88) relative to those who did not. For financial insecurity (aPR 0·92; 0·78, 1·08), adjusted estimates showed little evidence of an association., Conclusions: We found a lower level of breastfeeding among mothers experiencing food insecurity and using food assistance. Resources to support longer breastfeeding duration for mothers are needed. Moreover, facilitators, barriers and mechanisms of breastfeeding initiation and duration must be identified.

Background: SMS text messages through mobile phones are a common means of interpersonal communication. SMS text message surveys are gaining traction in health care and research due to their feasibility and patient acceptability. However, challenges arise in implementing SMS text message surveys, especially when targeting marginalized populations, because of barriers to accessing phones and data as well as communication difficulties. In primary care, traditional surveys (paper-based and online) often face low response rates that are particularly pronounced among disadvantaged groups due to financial limitations, language barriers, and time constraints., Objective: This study aimed to investigate the potential of SMS text message-based patient recruitment and surveys within general practices situated in lower socioeconomic areas. This study was nested within the Reducing Alcohol-Harm in General Practice project that aimed to reduce alcohol-related harm through screening in Australian general practice., Methods: This study follows a 2-step SMS text message data collection process. An initial SMS text message with an online survey link was sent to patients, followed by subsequent surveys every 3 months for consenting participants. Interviews were conducted with the local primary health network organization staff, the participating practice staff, and the clinicians. The qualitative data were analyzed using constructs from the Consolidated Framework for Implementation Research., Results: Out of 6 general practices, 4 were able to send SMS text messages to their patients. The initial SMS text message was sent to 8333 patients and 702 responses (8.2%) were received, most of which were not from a low-income group. This low initial response was in contrast to the improved response rate to the ongoing 3-month SMS text message surveys (55/107, 51.4% at 3 months; 29/67, 43.3% at 6 months; and 44/102, 43.1% at 9 months). We interviewed 4 general practitioners, 4 nurses, and 4 administrative staff from 5 of the different practices. Qualitative data uncovered barriers to engaging marginalized groups including limited smartphone access, limited financial capacity (telephone, internet, and Wi-Fi credit), language barriers, literacy issues, mental health conditions, and physical limitations such as manual dexterity and vision issues. Practice managers and clinicians suggested strategies to overcome these barriers, including using paper-based surveys in trusted spaces, offering assistance during survey completion, and offering honoraria to support participation., Conclusions: While SMS text message surveys for primary care research may be useful for the broader population, additional efforts are required to ensure the representation and involvement of marginalized groups. More intensive methods such as in-person data collection may be more appropriate to capture the voice of low-income groups in primary care research., International Registered Report Identifier (irrid): RR2-10.3399/BJGPO.2021.0037., (©Elizabeth Sturgiss, Jenny Advocat, Christopher Barton, Emma N Walker, Suzanne Nielsen, Annemarie Wright, Tina Lam, Nilakshi Gunatillaka, Symrin Oad, Christopher Wood. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 05.09.2024.)

Background: Poverty is a well-known risk factor for poor health. This scoping review (ScR) mapped research linking early childhood caries (ECC) and poverty using the targets and indicators of the Sustainable Development Goal 1 (SDG1)., Methods: We searched PubMed, Web of Science, and Scopus in December 2023 using search terms derived from SDG1. Studies were included if they addressed clinically assessed or reported ECC, used indicators of monetary or multidimensional poverty or both, and were published in English with no date restriction. We excluded books and studies where data of children under 6 years of age could not be extracted. We charted the publication year, study location (categorized into income levels and continents), children age, sample size, study design, measures of ECC, types and levels of poverty indicators and adjusted analysis. The publications were also classified based on how the relation between poverty and ECC was conceptualized., Results: In total, 193 publications were included with 3.4 million children. The studies were published from 1989 to 2023. Europe and North America produced the highest number of publications, predominantly from the UK and the US, respectively. Age-wise, 3-5-year-olds were the most studied (62.2%). Primary studies (83.9%) were the majority, primarily of cross-sectional design (69.8%). Non-primary studies (16.1%) included reviews and systematic reviews. ECC was mainly measured using the dmf indices (79.3%), while poverty indicators varied, with the most common used indicator being income (46.1%). Most studies measured poverty at family (48.7%) and individual (30.1%) levels. The greatest percentage of publications addressed poverty as an exposure or confounder (53.4%), with some studies using poverty to describe groups (11.9%) or report policies or programs addressing ECC in disadvantaged communities (11.4%). In addition, 24.1% of studies requiring adjusted analysis lacked it. Only 13% of publications aligned with SDG1 indicators and targets., Conclusion: The ScR highlight the need for studies to use indicators that provide a comprehensive understanding of poverty and thoroughly examine the social, political, and economic determinants and impact of ECC. More studies in low and middle-income countries and country-level studies may help design interventions that are setting- and economic context-relevant., (© 2024. The Author(s).)

Background: Although global poverty rates have declined in the last decade, the fall in the Asia-Pacific region has been slow relative to the rest of the world. Poverty continues to be a major cause of poor maternal and newborn health, and a barrier to accessing timely antenatal care. Papua New Guinea has one of the highest poverty rates and some of the worst maternal and neonatal outcomes in the Asia-Pacific region. Few studies have investigated equity in antenatal care utilization in this setting. We explored equity in antenatal care utilization and the determinants of service utilization, which include a measure of multidimensional poverty in Papua New Guinea., Methods: To explore the association between poverty and antenatal care utilization this study uses data from a ten-cluster randomized controlled trial. The poverty headcount, average poverty gap, adjusted poverty headcount, and multidimensional poverty index of antenatal clinic attendees are derived using the Alkire-Foster method. The distribution of service utilization is explored using the multidimensional poverty index, followed by multivariate regression analyses to evaluate the determinants of service utilization., Results: The poverty headcount was 61.06%, the average poverty gap 47.71%, the adjusted poverty headcount 29.13% and the average multidimensional poverty index was 0.363. Further, antenatal care utilization was regressive with respect to poverty. The regression analyses indicated that older women; being a widow (small number of widows (n = 3) asserts interpreting result with caution); or formally employed increase the likelihood of accessing antenatal care more often in pregnancy. Travelling for over an hour to receive care was negatively associated with utilization., Conclusion: This study indicated high levels of multidimensional poverty in PNG and that ANC utilization was regressive; highlighting the need to encourage pregnant women, especially those who are economically more vulnerable to visit clinics regularly throughout pregnancy., (© 2024. The Author(s).)

Introduction: The role of structural inequalities in the long-term benefits of early childhood programs has not been assessed. Previous findings in the Chicago Longitudinal Study, an early childhood cohort investigation with low-income families, indicate that Child-Parent Center (CPC) participation beginning in preschool was associated with a variety of positive health behaviors. In this secondary analysis, we assessed if structural inequalities (neighborhood poverty, history of discrimination) modified the magnitude of associations between CPC and health and education outcomes (cardiovascular health, body mass index, educational attainment) 30 years later., Method: The Chicago Longitudinal Study cohort of 1,539 children (93% Black, 7% Hispanic) grew up in high-poverty neighborhoods and attended CPCs or the usual district programs. At midlife (ages 32-37, M = 34.9 years, 2012-2017), 1,073 participants completed telephone interviews on structural inequalities, health, and education. Regression analyses were conducted with inverse propensity score weighting., Results: After accounting for structural inequality, CPC participation was significantly associated with outcomes. Mean differences on Framingham risk scores, for example, were significant for CPC preschool at ages 3 and 4 (coefficient = -2.15, p = .004, standardized difference = -0.20). Neighborhood poverty moderated (reduced) the association between CPC and cardiovascular health. Neighborhood poverty and perceived discrimination had independent contributions with outcomes., Discussion: Findings show that structural inequalities, especially poverty, directly influence and/or moderate long-term effects of CPC participation. Increasing neighborhood resources and socioeconomic status may help comprehensive programs sustain their impacts. Early childhood and sociostructural influences reflect the increasing importance of community contexts to health promotion. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Background: The COVID-19 pandemic had a significant impact on cancer screening and treatment, particularly in 2020. However, no single study has comprehensively analyzed its effects on cancer incidence and disparities among groups such as race/ethnicity, socioeconomic status (SES), persistent poverty (PP), and rurality., Methods: Utilizing the recent data from the United States National Cancer Institute's Surveillance, Epidemiology, and End Results Program, we calculated delay- and age-adjusted incidence rates for 13 cancer sites in 2020 and 2015-2019. Percent changes (PCs) of rates in 2020 compared to 2015-2019 were measured and compared across race/ethnic, census tract-level SES, PP, and rurality groups., Results: Overall, incidence rates decreased from 2015-2019 to 2020, with varying PCs by cancer sites and population groups. Notably, NH Blacks showed significantly larger PCs than NH Whites in female lung, prostate, and colon cancers (e.g., prostate cancer: NH Blacks -7.3, 95% CI: [-9.0, -5.5]; NH Whites: -3.1, 95% CI: [-3.9, -2.2]). Significantly larger PCs were observed for the lowest versus highest SES groups (prostate cancer), PP versus non-PP groups (prostate and female breast cancer), and all urban versus rural areas (prostate, female breast, female and male lung, colon, cervix, melanoma, liver, bladder, and kidney cancer)., Conclusions: The COVID-19 pandemic coincided with reduction in incidence rates in the U.S. in 2020 and was associated with worsening disparities among groups, including race/ethnicity, SES, rurality, and PP groups, across most cancer sites. Further investigation is needed to understand the specific effects of COVID-19 on different population groups of interest., (© 2024 Information Management Services, Inc. Cancer Medicine published by John Wiley & Sons Ltd. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.)

Purpose: The Veterans Health Administration (VHA) is the largest integrated healthcare system in the U.S. While preventive healthcare services are high priority in the VHA, low-income U.S. Veterans experience adverse life circumstances that may negatively impact their access to these services. This study examined lifetime prevalence as well as demographic, socioeconomic, military-specific, and clinical correlates of colorectal cancer (CRC) screening among low-income U.S. Veterans ≥ 50 years of age., Methods: Cross-sectional data on 862 participants were analyzed from the 2021-2022 National Veteran Homeless and Other Poverty Experiences study., Results: Overall, 55.3% (95% confidence interval [CI] 51.3-59.3%) reported ever-receiving CRC-screening services. In a multivariable logistic regression model, never-receivers of CRC screening were twice as likely to reside outside of the Northeast, and more likely to be married (odds ratio [OR] = 1.86, 95% CI 1.02, 3.37), have BMI < 25 kg/m 2 [vs. 25- < 30 kg/m 2 ] (OR = 1.75, 95% CI 1.19, 2.58), or ≥ 1 chronic condition (OR = 1.46, 95% CI 1.06, 2.02). Never-receivers of CRC screening were less likely to be female (OR = 0.53, 95% CI 0.29, 0.96), aged 65-79y [vs. ≥ 80y] (OR = 0.61, 95% CI 0.40, 0.92), live in 5 + member households (OR = 0.33, 95% CI 0.13, 0.86), disabled (OR = 0.45, 0.22, 0.92), with purchased health insurance (OR = 0.56, 95% CI 0.33, 0.98), or report alcohol-use disorder (OR = 0.10, 95% CI 0.02, 0.49) and/or HIV/AIDS (OR = 0.28, 95% CI 0.12, 0.68)., Conclusion: Nearly 55% of low-income U.S. Veterans reported ever screening for CRC. Variations in CRC-screening behaviors according to veteran characteristics highlight potential disparities as well as opportunities for targeted behavioral interventions., (© 2024. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Objectives: This study aimed to determine whether family poverty over the early childhood, adolescent, and adult periods of the life course independently predicts experiences of intimate partner violence (IPV) in adulthood., Study Design: This was a birth cohort study in Brisbane, Australia, with pregnant women recruited at their first booking-in visit and their children, followed up to 30 and 40 years of age., Methods: Family income was obtained from the mother when the child was 6 months, 5 and 14 years of age. Offspring reported their own family income at 21, 30, and 40 years of age. The offspring completed the Composite Abuse Scale at 30 and 40 years. Adjusted logistic regression models are used to predict experiences of IPV at 30 (n = 2157) and 40 (n = 1438) years., Results: The findings at 30 and 40 years of age are consistent. Only poverty experienced concurrently with the assessment of IPV is strongly associated. At the 40-year follow-up, family poverty predicts higher ratios of all four forms of IPV; severe combined abuse (odds ratio [OR] = 2.24, 95% confidence interval [CI] = 1.24, 4.05), physical abuse (OR = 3.37, 95% CI = 1.95, 5.82), emotional abuse (OR = 2.09, 95% CI = 2.58, 8.57) and harassment (OR = 4.70, 95% CI = 2.58, 8.57)., Conclusion: Concurrent family poverty is strongly and consistently associated with patterns of IPV. These associations are for cross-sectionally collected data with the prospectively collected data not replicating these findings. Although it is not possible to identify a specific causal pathway, the findings suggest that the immediate consequences of poverty are strongly associated with IPV. Programmes that address poverty reduction provide the best prospect for reducing societal levels of IPV., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Background: The aim of the authors was to determine whether socioeconomic vulnerability is associated with community water fluoridation (CWF)., Methods: The authors used US Census Bureau data to create 4 county-level vulnerability markers (percentages non-White, Hispanic or Latino, below the federal poverty threshold, education below high school), obtained county-level CWF data from the Washington State Department of Health, and evaluated associations using Spearman rank correlation coefficient and the Kruskal-Wallis rank sum test. The authors then interviewed 122 community members in Washington (December 2022-March 2023) and analyzed the interview data inductively., Results: A higher percentage of non-White people at the county level was associated with a significantly higher level of CWF (Spearman rank correlation coefficient, 0.55; 95% CI, 0.29 to 0.82; P < .001), whereas county-level poverty was associated with significantly lower CWF (Spearman rank correlation coefficient, -0.36; 95% CI, -0.70 to -0.03; P = .02). High school completion was not associated with county-level CWF. Significantly larger proportions of Hispanics and Latinos lived in counties with higher CWF (P < .05). From the interviews, more participants thought tap water was healthy than unhealthy, but 41% had mixed feelings. Similarly, more participants thought CWF was acceptable than unacceptable, with 35% reporting mixed feelings. Negative views about tap water and CWF were more common among non-White participants., Conclusions: People in racially and ethnically diverse communities in Washington appear to have greater access to CWF, whereas those in lower-income communities have poorer access., Practical Implications: CWF is an important population-level strategy to prevent caries. Additional work is needed to improve access to CWF, especially for people from low-income communities., Competing Interests: Disclosures None of the authors reported any disclosures., (Copyright © 2024 American Dental Association. Published by Elsevier Inc. All rights reserved.)

It is unclear whether poverty and mental illness are causally related. Using UK Biobank and Psychiatric Genomic Consortium data, we examined evidence of causal links between poverty and nine mental illnesses (attention deficit and hyperactivity disorder (ADHD), anorexia nervosa, anxiety disorder, autism spectrum disorder, bipolar disorder, major depressive disorder, obsessive-compulsive disorder, post-traumatic stress disorder and schizophrenia). We applied genomic structural equation modelling to derive a poverty common factor from household income, occupational income and social deprivation. Then, using Mendelian randomization, we found evidence that schizophrenia and ADHD causally contribute to poverty, while poverty contributes to major depressive disorder and schizophrenia but decreases the risk of anorexia nervosa. Poverty may also contribute to ADHD, albeit with uncertainty due to unbalanced pleiotropy. The effects of poverty were reduced by approximately 30% when we adjusted for cognitive ability. Further investigations of the bidirectional relationships between poverty and mental illness are warranted, as they may inform efforts to improve mental health for all., (© 2024. The Author(s).)

China implemented the Targeted Poverty Alleviation (TPA) policy in 2015 to fight against poverty. In order to assess the health performance of the TPA policy, this study aims to evaluate the impact of the TPA policy on healthcare utilization among older adults who normally have higher vulnerability to poverty and diseases. Drawing on data from four waves of the China Health and Retirement Longitudinal Study (CHARLS), we investigated the impact of the TPA policy on older individuals' outpatient and inpatient utilization using the difference-in-differences (DID) approach. In total, 5285 older respondents were incorporated into a final sample. The results indicated that the implementation of the TPA policy had a significantly positive impact on increasing inpatient care utilization for poor older adults. However, its impact on outpatient service utilization was not significant. To ensure that the increased level of inpatient care utilization was not caused by deteriorating health status, we further analyzed the impact of the TPA policy on poor older adults' health outcomes. Results indicated that the TPA policy improved self-rated health and reduced the number of ADL limitations among older adults in registered poor households. The positive impact of the TPA policy on inpatient care utilization was found to be most beneficial for older adults in poor households who were female, coupled, and aged 70 years and above. The TPA policy in China improved healthcare access for economically disadvantaged older adults and contributed to the enhancement of their health outcomes. This evidence may have broad implications for other low- and middle-income countries aiming to reduce poverty and achieve health equity., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Background: Street children are poverty-stricken and have insufficient money to meet their daily nutritional requirements. They do not have a proper place to sleep and defecate. They sleep at traffic signals, in religious places, and on footpaths. This exposes them to pollution, dirt, and other pathogens., Objectives: This study aimed to measure the nutritional status of street children in Delhi using Z-scores and Composite Index of Anthropometric Failure (CIAF)., Methods: Anthropometric measurements are direct methods of measuring the nutritional status of humans. Anthropometric indicators such as underweight (weight-for-age), stunting (height-for-age) and BMI/wasting (weight-for-height) are used to measure the nutritional status of street children. Z-scores and CIAF are calculated for street children based on the WHO 2009 reference., Results: According to Z-scores, stunting (56%) is the most common anthropometric failure among street children followed by underweight (31%) and wasting (19%). According to the CIAF, 63% of street children are malnourished, where stunting (37%) is the highest single burden of anthropometric failure, followed by wasting (3%) and underweight (1%); children suffering from the double burden of anthropometric failure are 9%, and children suffering from the triple burden of anthropometric failure (i.e., wasting, stunting, and underweight) are 13%., Conclusion: A high incidence of stunting points to poor quality of food and suggests prolonged nutrition deficiency among street children. The Z-score or conventional measures of anthropometry underestimate the total burden of malnutrition among street children, while CIAF provides an estimation of children with single-burden, double-burden, and triple-burden malnutrition or total burden of malnutrition., Competing Interests: Declaration of competing interest The author declares the following financial interests/personal relationships which may be considered as potential competing interests: I certify that the submission is original work and is not under review at any other publication., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Importance: Complex biological, socioeconomic, and psychological variables combine to cause mental illnesses, with mounting evidence that early-life experiences are associated with adulthood mental health., Objective: To evaluate whether changing neighborhood income deprivation and residential moves during childhood are associated with the risk of receiving a diagnosis of depression in adulthood., Design, Setting, and Participants: This cohort study included the whole population of 1 096 916 people born in Denmark from January 1, 1982, to December 31, 2003, who resided in the country during their first 15 years of life. Individuals were followed up from 15 years of age until either death, emigration, depression diagnosis, or December 31, 2018. Longitudinal data on residential location was obtained by linking all individuals to the Danish longitudinal population register. Statistical analysis was performed from June 2022 to January 2024., Exposures: Exposures included a neighborhood income deprivation index at place of residence for each year from birth to 15 years of age and a mean income deprivation index for the entire childhood (aged ≤15 years). Residential moves were considered by defining "stayers" as individuals who lived in the same data zone during their entire childhood and "movers" as those who did not., Main Outcomes and Measures: Multilevel survival analysis determined associations between neighborhood-level income deprivation and depression incidence rates after adjustment for individual factors. Results were reported as incidence rate ratios (IRRs) with 95% credible intervals (95% CrIs). The hypotheses were formulated before data collection., Results: A total of 1 096 916 individuals (563 864 male participants [51.4%]) were followed up from 15 years of age. During follow-up, 35 098 individuals (23 728 female participants [67.6%]) received a diagnosis of depression. People living in deprived areas during childhood had an increased risk of depression (IRR, 1.10 [95% CrI, 1.08-1.12]). After full individual-level adjustment, the risk was attenuated (IRR, 1.02 [95% CrI, 1.01-1.04]), indicating an increase of 2% in depression incidence for each 1-SD increase in income deprivation. Moving during childhood, independent of neighborhood deprivation status, was associated with significantly higher rates of depression in adulthood compared with not moving (IRR, 1.61 [95% CrI, 1.52-1.70] for 2 or more moves after full adjustment)., Conclusions and Relevance: This study suggests that, rather than just high or changing neighborhood income deprivation trajectories in childhood being associated with adulthood depression, a settled home environment in childhood may have a protective association against depression. Policies that enable and support settled childhoods should be promoted.

Objectives: Adult child socioeconomic status (SES) has been identified as a predictor of older parents' cognitive aging. However, studies have primarily relied on educational attainment as the sole measure of adult child SES. We evaluated the relationship between adult children's financial disadvantage and cognitive outcomes of older parents in the United States., Methods: We used data from U.S. Health and Retirement Study (2000-2014, n = 15,053 respondents ≥51 years with at least 1 adult child). Adult child financial disadvantage was measured with 3 indicators of extremely low income, unemployment, and lack of homeownership. We used linear mixed models to estimate the association between adult child financial disadvantage and the rate of decline in verbal memory scores, controlling for respondents' sociodemographic characteristics., Results: Having at least 1 adult child (vs no adult children) with extremely low income was found to be associated with lower verbal memory (b = -0.041, 95% confidence interval [CI]: -0.043, -0.039) at baseline. There was a small but significant association with the rate of decline in verbal memory z-scores (b = 0.004, 95% CI: 0.000, 0.008) and some evidence of heterogeneity by parent gender, marital status, and SES., Discussion: Offspring financial disadvantage may be influential for older parents' initial level of memory function, although evidence of associations with memory decline was weak. Public policy interventions aimed at improving the economic conditions of adult children may indirectly benefit the cognitive performance of disadvantaged parents in their later life., (© The Author(s) 2024. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Background: Despite many efforts to provide children with legal existence over the last decades, 1 in 4 children under the age of 5 (166 million) do not officially exist, with limited possibility to enjoy their human rights. In Latin America and the Caribbean, Haiti has one of the highest rates of undocumented births. This study aimed to analyze the prevalence and the determinant factors of undocumented childhood in Haiti., Methods: For analysis of undocumented childhood and related socioeconomic determinants, data from the 2016/17 Haiti demographic and health survey were used. The prevalence and the associated factors were analyzed using descriptive statistics and the binary logistic regression model., Results: The prevalence of undocumented childhood in Haiti was 23% (95% CI: 21.9-24.0) among children under-five. Among the drivers of undocumented births, mothers with no formal education (aOR = 3.88; 95% CI 2.21-6.81), children aged less than 1 year (aOR = 20.47; 95% CI 16.83-24.89), children adopted or in foster care (aOR = 2.66; 95% CI 1.67-4.24), children from the poorest regions like "Artibonite" (aOR = 2.19; 95% CI 1.63-2.94) or "Centre" (aOR = 1.51; 95% CI 1.09-2.10) or "Nord-Ouest" (aOR = 1.61; 95% CI 1.11-2.34), children from poorest households (aOR = 6.25; 95% CI 4.37-8.93), and children whose mothers were dead (aOR = 2.45; 95% CI 1.33-4.49) had higher odds to be undocumented., Conclusion: According to our findings, there is an institutional necessity to bring birth documentation to underprivileged households, particularly those in the poorest regions where socioeconomic development programs are also needed. Interventions should focus on uneducated mothers who are reknown for giving birth outside of medical facilities. Therefore, an awareness campaign should be implemented to influence the children late-registering behavior., (© 2024. The Author(s).)

Introduction: Studies examining profit suggest that former tobacco farmers do as well or better than current tobacco farmers. Research has yet to examine the relationship among current and former tobacco farmers, poverty, and receipt of government social assistance. This type of research is critical to understanding the direct and indirect subsidization of tobacco growing. This study analyzed tobacco farmers' poverty levels and receipt of government social assistance programs., Aims and Methods: We designed and conducted an original four-wave economic survey of current and former tobacco farming households in Indonesia between 2016 and 2022. We then used descriptive analysis and probit regression for panel data to estimate the relationship between tobacco farming and poverty status., Results: Tobacco farmers' per capita income and poverty rates vary across years. The poverty rate was significantly higher in the year with a higher-than-normal rainfall as it negatively affected farming outcomes. During this year, the poverty rate among current tobacco farmers was also higher than that of former tobacco farmers. Regression estimates from the panel data confirm the association between tobacco farming and the likelihood of being poor. We also found a high share of current tobacco farmers who receive government social assistance programs, such as cash transfer programs and a universal healthcare program., Conclusions: Our findings show high poverty rates-particularly during bad farming years-and high rates of government social assistance among tobacco farmers. The high rates of government assistance among tobacco farmers living in poverty show that the government is indirectly subsidizing the tobacco industry., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Background: The COVID-19 pandemic caused massive disruptions globally, with food insecurity a primary concern amongst vulnerable communities. As one of the most marginalized and vulnerable groups in Israeli society asylum seekers and undocumented populations were amongst the first to be affected by the pandemic and the economic crisis that followed. The objective of the study was to evaluate the severity and causes of food insecurity among asylum seekers and other undocumented communities because of COVID-19., Methods: A multi method approach was used. The quantitative component included an online questionnaire regarding access to food, aid and choices, and the 6 item Household Food Security Survey Module (HFSSM) The qualitative component included 4 focus groups and thematic analysis. The study was conducted in November 2020, by the Ministry of Health's Nutrition Division and the Tel Aviv Municipality's foreign community assistance and information center (Mesila). The convenience sample was drawn from the low-income neighborhood population of South Tel Aviv. Logistic regression, multivariate analysis and content analysis, were performed., Results: Four hundred eighty-five people completed the quantitative survey, with average age 33.2 ± 5.4 years and 349 (72.0%) experienced food insecurity. In the multivariate analysis, being older (p = 0.04, Odds Ratio OR 1.1, Confidence Interval CI 1.05-1.15) and being single (unmarried) (p = 0.03, OR 2.1, CI 1.2, 3.5) predicted food insecurity. Qualitative findings identified three main themes: children preferring Israeli/ Western foods to traditional foods; financial stresses were compounded; a preference for receiving assistance with purchasing food (vouchers), rather than food handouts., Conclusion: In conclusion, vulnerable populations (asylum seekers and other undocumented communities) were severely affected and are in danger of food insecurity. Culturally relevant and contextualized solutions are needed to address the acute hunger within the community. These include establishment of a cross-ministerial forum, a social grocery store, increased liaison with food rescue bodies, complete nutritional support for children in educational settings and increased guidance regarding food choices and budgeting., (© 2024. The Author(s).)

Background: Air pollution affects residents' health to varying extents according to differences in socioeconomic status. However, there has been a lack of research on whether air pollution contributes to unfair health costs., Methods: In this research, data from the China Labour Force Dynamics Survey are matched with data on PM2.5 average concentration and precipitation, and the influence of air pollution on the health expenditures of residents is analysed with econometric methods involving a two-part model, instrument variables and moderating effects., Results: The findings reveal that air pollution significantly impacts Chinese residents' health costs and leads to low-income people face health inequality. Specifcally, the empirical evidence shows that air pollution has no significant influence on the probability of residents' health costs (β = 0.021, p = 0.770) but that it increases the amount of residents' total outpatient costs (β = 0.379, p < 0.006), reimbursed outpatient cost (β = 0.453, p < 0.044) and out-of-pocket outpatient cost (β = 0.362, p < 0.048). The heterogeneity analysis of income indicates that low-income people face inequality due to health cost inflation caused by air pollution, their total and out-of-pocket outpatient cost significantly increase with PM2.5 (β = 0.417, p = 0.013; β = 0.491, p = 0.020). Further analysis reveals that social basic medical insurance does not have a remarkable positive moderating effect on the influence of air pollution on individual health inflation (β = 0.021, p = 0.292), but supplementary medical insurance for employees could reduce the effect of air pollution on low-income residents' reimbursed and out-of-pocket outpatient cost (β=-1.331, p = 0.096; β=-2.211, p = 0.014)., Conclusion: The study concludes that air pollution increases the amount of Chinese residents' outpatient cost and has no significant effect on the incidence of outpatient cost. However, air pollution has more significant impact on the low-income residents than the high-income residents, which indicates that air pollution leads to the inequity of medical cost. Additionally, the supplementary medical insurance reduces the inequity of medical cost caused by air pollution for the low-income employees., (© 2024. The Author(s).)

Importance: Patients with breast cancer residing in socioeconomically disadvantaged communities often face poorer outcomes (eg, mortality) compared with individuals living in neighborhoods without persistent poverty., Objective: To examine persistent neighborhood poverty and breast tumor characteristics, surgical treatment, and mortality., Design, Setting, and Participants: A retrospective cohort analysis of women aged 18 years or older diagnosed with stage I to III breast cancer between January 1, 2010, and December 31, 2018, and followed up until December 31, 2020, was conducted. Data were obtained from the Surveillance, Epidemiology, and End Results Program, and data analysis was performed from August 2023 to March 2024., Exposure: Residence in areas affected by persistent poverty is defined as a condition where 20% or more of the population has lived below the poverty level for approximately 30 years., Main Outcome and Measures: All-cause and breast cancer-specific mortality., Results: Among 312 145 patients (mean [SD] age, 61.9 [13.3] years), 20 007 (6.4%) lived in a CT with persistent poverty. Compared with individuals living in areas without persistent poverty, patients residing in persistently impoverished CTs were more likely to identify as Black (8735 of 20 007 [43.7%] vs 29 588 of 292 138 [10.1%]; P < .001) or Hispanic (2605 of 20 007 [13.0%] vs 23 792 of 292 138 [8.1%]; P < .001), and present with more-aggressive tumor characteristics, including higher grade disease, triple-negative breast cancer, and advanced stage. A higher proportion of patients residing in areas with persistent poverty underwent mastectomy and axillary lymph node dissection. Living in a persistently impoverished CT was associated with a higher risk of breast cancer-specific (adjusted hazard ratio [AHR], 1.10; 95% CI, 1.03-1.17) and all-cause (AHR, 1.13; 95% CI, 1.08-1.18) mortality. As early as 3 years following diagnosis, mortality risks diverged for both breast cancer-specific (rate ratio [RR], 1.80; 95% CI, 1.68-1.92) and all-cause (RR, 1.62; 95% CI, 1.56-1.70) mortality., Conclusions and Relevance: In this cohort study of women aged 18 years or older diagnosed with stage I to III breast cancer between 2010 and 2018, living in neighborhoods characterized by persistent poverty had implications on tumor characteristics, surgical management, and mortality.

Competing Interests: I declare no competing interests.

Background: A sizeable literature shows that adverse childhood experiences (ACEs) are associated with poor health outcomes in later life. However, most studies on the prevalence and predictors of ACEs have been carried out in high-income countries using cross-sectional approaches., Objective: The present study explores the prevalence and predictors of ACEs in Malawi, a low-income country, using prospective longitudinal data collected on adolescents., Participants: We use data on 1375 adolescents and their biological mothers from the Malawi Longitudinal Study of Families and Health (MLSFH). ACEs were reported by adolescents over two survey waves, in 2017-18 and 2021. Predictors were reported by mothers in 2008 and 2010., Methods: Multivariate ordinary least square and logistic regression analyses of ACEs exposure reported by adolescents on indicators of family arrangements and resources., Results: Adolescents report having been exposed to nearly seven ACEs on average. Among indicators of family arrangements and resources, the only significant predictors of cumulative ACEs exposure are polygyny (linked to parental absence) and mother's SF-12 mental health score (linked to physical abuse and witnessing domestic violence)., Conclusions: ACEs are much more prevalent in the low-income country under study than in middle- and high-income countries surveyed in prior research. Despite adversity being widespread, most indicators of family arrangements and resources highlighted in prior studies are not associated with adolescents' cumulative ACEs exposure in this context. Mothers' mental health in childhood nevertheless emerges as a significant predictor of adolescents' self-reported ACEs. These findings inform efforts aimed at preventing ACEs in high-adversity contexts., Competing Interests: Declaration of competing interest The authors declare no conflict of interest., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Background: Disparities in cancer incidence, stage at diagnosis, and mortality persist by race, ethnicity, and many other social determinants, such as census-tract-level socioeconomic status (SES), poverty, and rurality. Census-tract-level measures of these determinants are useful for analyzing trends in cancer disparities., Methods: The purpose of this paper was to demonstrate the availability of the Surveillance, Epidemiology, and End Results Program's specialized census-tract-level dataset and provide basic descriptive cancer incidence, stage at diagnosis, and survival for 8 cancer sites, which can be screened regularly or associated with infectious agents. We present these analyses according to several census-tract-level measures, including the newly available persistent poverty as well as SES quintile, rurality, and race and ethnicity., Results: Census tracts with persistent poverty and low SES had higher cancer incidence rates (except for breast and prostate cancer), higher percentages of cases diagnosed with regional or distant-stage disease, and lower survival than non-persistent-poverty and higher-SES tracts. Outcomes varied by cancer site when analyzing based on rurality as well as race and ethnicity. Analyses stratified by multiple determinants showed unique patterns of outcomes, which bear further investigation., Conclusions: This article introduces the Surveillance, Epidemiology, and End Results specialized dataset, which contains census-tract-level social determinants measures, including persistent poverty, rurality, SES quintile, and race and ethnicity. We demonstrate the capacity of these variables for use in producing trends and analyses focusing on cancer health disparities. Analyses may inform interventions and policy changes that improve cancer outcomes among populations living in disadvantaged areas, such as persistent-poverty tracts., (Published by Oxford University Press 2024.)

Background: About 6 % of US children enter foster care (FC) at some point before age 18. Children living in poverty enter more frequently than non-poor children. Still, it is less clear if specific dimensions of poverty place a child at risk of FC entry., Objective: This study aids our understanding of the relationships between poverty and FC entry., Participants and Setting: Data were drawn from a large linked administrative data study following low-income and/or children with maltreatment reports at baseline and followed them through 2010 (n = 9382)., Methods: Separate analyses compared low-income children and children reported for maltreatment. Cox regression analyses were used to account for clustering at the tract level. Poverty was measured at birth, receipt of income maintenance (IM) during the study period, and census tract poverty at baseline., Results: The results showed that within a low-income sample, both family poverty and community poverty measures were significant factors in predicting later FC entry. However, when analyses were run comparing children with maltreatment reports with and without baseline AFDC use, the various measures of poverty diminished in impact once the type of maltreatment and report dispositions were controlled. Furthermore, we found that children living in families with more spells on income maintenance were less likely to enter FC., Conclusions: Results indicate that specific dimensions of poverty during childhood are associated with later FC entry. The lowered risk associated with a number of spells suggests connections between time limits for income assistance and the risk of entering FC., Competing Interests: Declaration of competing interest None., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Access to safe and stable housing is important for child and adult well-being. Yet many low-income households face severe challenges in maintaining stable housing. In this article, we examine the impact of the 2021 temporary expansion to the Child Tax Credit (CTC) on housing affordability and the living arrangements of families with low incomes. We employ a parameterized difference-in-differences method and leverage national data from a sample of parents who are receiving or recently received Supplemental Nutrition Assistance Program benefits (N = ∼20,500), many of whom became newly eligible for the CTC. We find that the monthly CTC reduced parents' past-due rent/mortgages (both amounts and incidence) and their reports of potential moves due to difficulties affording rent/mortgages. The CTC increased the likelihood that parents reported a change in their living arrangements and reduced their household size, both effects driven by fewer mothers living with a partner (and not a reduction in doubling up). We find some differences in effects by race and ethnicity and earnings. Our findings illustrate that the monthly credit improved low-income parents' ability to afford housing, gain residential independence from partners, and reduce the number of people residing in their household., (Copyright © 2024 The Authors.)

Background: The highly variable occurrence of primary liver cancers across the United States emphasize the relevance of location-based factors. Social determinants such as income, educational attainment, housing, and other factors may contribute to regional variations in outcomes. To evaluate their impact, this study identified and analyzed clusters of high mortality from primary liver cancers and the association of location-based determinants with mortality across the contiguous United States., Methods: A geospatial analysis of age-adjusted incidence and standardized mortality rates from primary liver cancers from 2000 to 2020 was performed. Local indicators of spatial association identified hot-spots, clusters of counties with significantly higher mortality. Temporal analysis of locations with persistent poverty, defined as high (>20%) poverty for at least 30 years, was performed. Social determinants were analyzed individually or globally using composite measures such as the social vulnerability index or social deprivation index. Disparities in county level social determinants between hot-spots and non-hot-spots were analyzed by univariate and multivariate logistic regression., Results: There are distinct clusters of liver cancer incidence and mortality, with hotspots in east Texas and Louisiana. The percentage of people living below the poverty line or Hispanics had a significantly higher odds ratio for being in the top quintile for mortality rates in comparison to other quintiles and were highly connected with mortality rates. Current and persistent poverty were both associated with an evolution from non-hotspots to new hotspots of mortality. Hotspots were predominantly associated with locations with significant levels of socioeconomic vulnerability or deprivation., Conclusions: Poverty at a county level is associated with mortality from primary liver cancer and clusters of higher mortality. These findings emphasize the importance of addressing poverty and related socio-economic determinants as modifiable factors in public health policies and interventions aimed at reducing mortality from primary liver cancers., (© 2024 The Author(s). Cancer Medicine published by John Wiley & Sons Ltd.)

Importance: Households with children and minoritized racial and ethnic groups experience a disproportionate burden of food hardship. During the COVID-19 pandemic, the US federal government implemented emergency allotments in the Supplemental Nutrition Assistance Program (SNAP), increasing the amount of food purchasing assistance received by many participating households., Objective: To examine the association of implementing emergency allotments in SNAP with food hardship among households with children overall and for households with Black, Hispanic, and White children by comparing income-eligible households that did and did not participate in SNAP., Design, Setting, and Participants: This ecologic cross-sectional study used 2016-2022 National Survey of Children's Health data and a difference-in-differences approach to compare changes in the risk of food hardship from before implementation of emergency allotments in SNAP (2016-2019) to during implementation (2020-2022). Households with children younger than 18 years and incomes 130% or less of the federal poverty level (FPL) in all 50 states and Washington, DC, were included., Exposure: Implementation of emergency allotments in SNAP., Main Outcome and Measures: The primary outcome was caregiver report of household food hardship during the past 12 months., Results: Of 44 753 households with incomes 130% or less of the FPL, a weighted 23.4% had Black children, 56.7% had White children, and 19.9% had children of other races. More than one-third of households (37.8%) had Hispanic children, and 31.8% had young children aged 0 to 5 years. The percentage of households that experienced food hardship decreased from 2016 to 2021 (from 62.9% to 48.2% among SNAP-participating households and from 44.3% to 38.9% among income-eligible nonparticipating households) but increased in 2022 (to 58.0% among SNAP-participating households and to 47.5% among nonparticipating households). Adjusting for confounders, implementing emergency allotments in SNAP was associated with a decreased risk of food hardship among SNAP-participating compared with nonparticipating households (risk ratio [RR], 0.88; 95% CI, 0.81-0.96). Implementing emergency allotments in SNAP was associated with a decreased risk of food hardship among SNAP-participating households with Hispanic (RR, 0.86; 95% CI, 0.72-1.02) and White (RR, 0.85; 95% CI, 0.76-0.94) children compared with nonparticipating households but not among households with Black children (RR, 1.04; 95% CI, 0.87-1.23)., Conclusions and Relevance: In this ecologic cross-sectional study, implementing emergency allotments in SNAP was associated with a decreased risk of food hardship among households with children. Efforts are needed to ensure that all populations benefit from economic policies.

Objectives: To examine US in-hospital exclusive breastfeeding (EBF) and the associations with Baby-Friendly designation and neighborhood sociodemographic factors., Methods: Hospital data from the 2018 Maternity Practices in Infant Nutrition and Care survey were linked to hospital zip code tabulation area (ZCTA) sociodemographic data from the 2014-2018 American Community Survey (n = 2,024). The percentages of residents in the hospital ZCTA were dichotomized based on the relative mean percentage of the hospital's metropolitan area, which were exposure variables (high/low Black hospitals, high/low poverty hospitals, high/low educational attainment hospitals) along with Baby-Friendly designation. Using linear regression, we examined the associations and effect measure modification between Baby-Friendly designation and hospital sociodemographic factors with in-hospital EBF prevalence., Results: US mean in-hospital EBF prevalence was 55.1%. Baby-Friendly designation was associated with 9.1% points higher in-hospital EBF prevalence compared to non-designated hospitals [95% confidence interval (CI): 7.0, 11.2]. High Black hospitals and high poverty hospitals were associated with lower EBF prevalence (difference= -3.3; 95% CI: -5.1, -1.4 and - 3.8; 95% CI: -5.7, -1.8). High educational attainment hospitals were associated with higher EBF prevalence (difference = 6.7; 95% CI: 4.1, 9.4). Baby-Friendly designation was associated with significant effect measure modification of the in-hospital EBF disparity attributed to neighborhood level poverty (4.0% points higher in high poverty/Baby-Friendly designated hospitals than high poverty/non-Baby-Friendly designated hospitals)., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)