Structural inequality modifies midlife outcomes of a multisystemic early childhood program.

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).

The nexus between poverty and maternal healthcare utilization with a focus on antenatal care visits and choice of place of birth in Somaliland.

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.

Crisis-Related Measles Outbreaks in Low-Income Countries and the Need for Increased Health Systems Resilience.

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.

Death from COVID-19 in contexts of social deprivation in Mexico.

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.

Trends and key disparities of obesity among US adolescents: The NHANES from 2007 to 2020.

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.

Lifestyle and Cardiometabolic Risk Factors Associated with Impoverishment Due to Out-of-Pocket Health Expenditure in São Paulo City, Brazil.

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.

Inequality in Mortality and Cardiovascular Risk Among Young, Low-Income, Self-Employed Workers: Nationwide Retrospective Cohort Study.

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.

The COVID-19 pandemic and associated declines in cancer incidence by race/ethnicity and census-tract level SES, rurality, and persistent poverty status.

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.

Maternal mortality in Brazil: an analysis of temporal trends and spatial clustering. / Mortalidade materna no Brasil: análise de tendências temporais e agrupamentos espaciais.

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.

O objetivo do artigo é analisar o padrão espacial e temporal e identificar indicadores socioeconômicos relacionados à razão de mortalidade materna (RMM) no Brasil de 2010 a 2020. Estudo ecológico que analisou a RMM nos municípios do Brasil, utilizando dados secundários. Para análise temporal, utilizou-se o método joinpoint. Para a identificação de aglomerados espaciais, utilizou-se estatística bayesiana, autocorrelação espacial, a técnica Getis Ord Gi* e a varredura scan. Para a identificação dos fatores associados à RMM, foram adotados modelos múltiplos de regressão não espacial e espacial. Observou-se aumento da RMM de 2019 para 2020. Houve crescimento de óbitos nas regiões Norte e Sudeste. Os clusters foram encontrados no Amazonas, Tocantins, Piauí, Maranhão, Bahia e Mato Grosso do Sul. Estão negativamente relacionados à RMM os seguintes indicadores: taxa de parto cesáreo, índice de desenvolvimento humano municipal e renda domiciliar per capita dos vulneráveis à pobreza. Embora a tendência temporal tenha se mostrado constante até 2019, a RMM apresentou crescimento no ano de início da pandemia de COVID-19 no país. A redução da MM no Brasil vai além da promoção de melhorias na assistência gravídico-puerperal, sendo fundamental focar também nos determinantes sociais do problema.

The association between poverty and longitudinal patterns of adverse childhood experiences across childhood and adolescence: Findings from a prospective population-based cohort study in the UK.

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.

Using Text Messaging Surveys in General Practice Research to Engage With People From Low-Income Groups: Multi-Methods Study.

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.

The impact of energy poverty on the health and welfare of the middle-aged and older adults.

Drawing upon data from the 2018 CHARLS, this paper utilizes MEPI and a 10% threshold indicator to, respectively, assess the energy poverty (EP) status among middle-aged and older adults in China, focusing on the unavailability and unaffordability of energy services. Additionally, an econometric model is constructed to investigate the effects of EP on the health and welfare of middle-aged and older adults. Regression results indicate that EP exerts a significant negative impact on the health and welfare of middle-aged and older adults. This conclusion remains robust after conducting endogeneity and robustness tests, demonstrating its validity. Finally, based on the calculation results, we propose relevant policy recommendations including enhancing energy services for older adults in rural areas, integrating household energy alternatives with targeted poverty alleviation, enhancing monitoring mechanisms, and conducting energy education activities to alleviate EP and improve the quality of life of middle-aged and older adults.

Exploring the association between multidimensional poverty and antenatal care utilization in two provinces of Papua New Guinea: a cross-sectional study.

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.

Underweight and associated factors among children under age of five in low and lower-middle income African countries: hierarchical analysis of demographic and health survey data.

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.

Open defecation among Kenyan households: an analysis of demographic and health survey 2022 and census report of 2019.

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.

A scoping review of early childhood caries, poverty and the first sustainable development goal.

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.

Analysis of the health status and its influencing factors of the low-income populations in Wuxi, China.

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.

Incidence of associated anomalies in children with anorectal malformation: A 1-year prospective observational study in a low-income setting.

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.

Trajectories of Breastfeeding-Related Thoughts and Attitudes Among Low-Income Smoke-Exposed Pregnant Women: A Latent Class Growth Analysis.

BACKGROUND: Psychosocial predictors of breastfeeding and changes in those factors during pregnancy, along with the relationship of those changes with both breastfeeding and smoke use and exposure, are not well explored. RESEARCH AIM: The aim of this study was to identify distinct trajectories of psychosocial determinants of breastfeeding and smoking in pregnant women. METHODS: We used a longitudinal study design and data from a randomized controlled trial conducted among smoke-exposed pregnant women and their infants. Participants were recruited early in pregnancy and were surveyed at ≤ 16 and 32 weeks gestation, delivery, 3 and 6 months postpartum for breastfeeding intentions, initiation, continuation, and smoke use and exposure. Psychosocial variables associated with breastfeeding were measured at baseline and 32 weeks gestation using the Mitra index, a structured questionnaire that assesses barriers and facilitators of breastfeeding intentions. Latent class growth analysis was performed using Mitra scores to identify distinct subgroups of participants with different trajectories. Sociodemographic characteristics, breastfeeding, and tobacco smoke use and exposure were compared across classes. RESULTS: Three or four trajectories were identified for each of the six Mitra scores. Trajectories for all Mitra scores were associated with breastfeeding intention and initiation. Overall, Mitra, knowledge, self-efficacy, social support, and time barrier classes all differed by tobacco smoke use or exposure. CONCLUSION: Trajectories of breastfeeding knowledge, self-efficacy, social support, and time to breastfeed/social barriers are associated with tobacco smoke use and exposure during pregnancy. Encouragement to breastfeed and to cease and avoid tobacco smoke should start early in pregnancy, focusing on these determinants to improve health outcomes.

Exploring the associations of food and financial insecurity and food assistance with breastfeeding practices among first-time mothers.

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.