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Objectives: Child health is a social and economic development indicator. Pakistan is one of the countries with a high rate of under-five mortality. This research aims to examine several demographic, geographical, socioeconomic, health-related, and environmental factors related to under-five mortality in both rural and urban areas of Punjab, Pakistan., Study Design: This is a cross-sectional study., Methods: We used data from the Multiple Indicator Cluster Survey 2017-18 of children aged between 0 and 59 months (n = 39,024), steered by the Punjab Bureau of Statistics. Children who died before reaching the age of five were considered as outcome variables. The bivariate relationship of the outcome variable with each socio-economic, demographic, health-seeking, and environmental variable is estimated with a P-value of <0.01. We used logistic regression analysis separately. Inclusive descriptive statistics were used for the detailed analysis, i.e., compare means, cross-tabulations, independent sample t-tests, and comparison across rural-urban areas., Results: Results showed that in the mother-level variables, mother education plays a substantial role in reducing mortality; the higher the level of education, the lower the mortality rate., Conclusion: The study revealed that improving drinking water sources, such as tap and bottled water, can reduce the incidence of mortality, particularly in low-income households. Therefore, interventions targeting children are likely to be most effective for reducing the under-five mortality rate in Pakistan., (Copyright © 2024 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.)

Objectives: During COVID-19, sexual minority groups may have experienced heightened mental health challenges, amplified by unique stressors and the effects of pandemic-related restrictions. This study investigates the differential impact of the pandemic on mental health across sexual orientations, leveraging population-representative data to explore these disparities., Study Design: Prospective cohort design., Methods: Data from the United Kingdom Household Longitudinal Study (waves 8-12) was used. Monthly COVID-19 incidence rates at the regional level were used to indicate pandemic severity. Mental health outcomes were evaluated using the Mental Component Score of the Short Form-12 (MCS-12) survey. To examine whether COVID-19 led to differential impacts across sexual orientation, fixed-effect longitudinal models were employed, controlling for individual and time-variant covariates., Results: Lesbian women experienced a significant mental health decline during the COVID-19 pandemic, with a 3.10 MCS-12 score decrease (95 % confidence interval (CI): -5.77 to -0.43) and an 11.0 % higher likelihood of depression (95%CI: -0.3 % to 22.3 %, p = 0.057) compared to heterosexual women. Conversely, the impact on the mental health of heterosexual women was negative but not significant (-0.22; 95%CI: -0.47 to -0.04). Bisexual individuals and other women showed non-significant mental health declines. For men, COVID-19's effect on heterosexuals was similarly non-significant (-0.21; 95%CI: -0.48 to 0.1), with no significant differences observed in gay, bisexual, and other men., Conclusions: Sexual minority individuals, especially lesbian women, faced heightened mental health challenges during COVID-19, emphasizing the urgency for targeted interventions., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Objective: We investigated the association between self-rated poor physical health (srPPH), a validated proxy measure of health-related quality of life, and age-adjusted cardiovascular mortality (AACVM) rates across overall U.S. counties and within various demographics., Study Design: Nationwide county-level analysis., Methods: We analyzed county-level data spanning 2010-2019 from the Behavioral Risk Factors Surveillance System (BRFSS) and the Centers for Disease Control and Prevention (CDC). This analysis included data from 2892 counties with complete records on srPPH and AACVM. srPPH was defined as the age-adjusted average number of days respondents reported being in poor physical health over the past 30 days. To estimate the average srPPH per resident in each county, the CDC utilized validated statistical models applied to BRFSS data. To assess the association between srPPH and AACVM, we employed Poisson Generalized Linear Mixed Models, generating incident rate ratios (IRRs)., Results: Out of the 307,045,647 residents living in 2892 U S. counties in 2010, 8,157,571 (2.7 %) cardiovascular deaths were recorded during the study period. Counties where residents reported the greatest number of physically unhealthy days-indicative of higher srPPH-experienced the highest AACVM rates, despite significant decreases in overall AACVM rates from 2010 to 2019. Moreover, srPPH was independently associated with higher AACVM rates (IRR: 1.018; 95 % CI: 1.011 to 1.025) across most demographic groups, except Hispanics. This association was particularly strong among middle-aged (45-64 years old) women and elderly (≥65 years old) non-Hispanic Black individuals., Conclusion: srPPH may serve as a valuable community health marker that can help identify populations at risk for cardiovascular mortality, independent of other social determinants of health. When used in combination with objective measures of cardiovascular health, this metric can enhance targeted screening and intervention efforts in high-risk populations., (Copyright © 2024 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.)

Objective: The objective of this study was to provide novel comparative insights on the contributions of injury deaths to the changes in sex gaps in life expectancy (SGLE) and sex gaps in life disparity (SGLD) across Nordic countries., Study Design: Retrospective demographic analysis of aggregated mortality data., Methods: To compute life expectancy (LE)/life disparity (LD), annual data on age- and sex-specific causes of death from the World Health Organization mortality database were used to construct abridged life tables for two periods: 2000-2002 and 2016-2018 (2014-2016 for Norway). The contributions of injury deaths to the changes in the SGLE and SGLD between these two periods were decomposed by age and cause using a continuous-change model., Results: Females' LE and LD advantages due to injury deaths narrowed by 0.16-0.44 (0.06-0.35) years for LE (LD) over time. While self-inflicted injuries consistently played a predominant role in contributing to the SGLE/SGLD in all countries in both periods, in all countries but Finland, transport accidents had the greatest contributions to the narrowing SGLE/SGLD. Widening SGLE due to self-inflicted injuries in Iceland and due to falls in Sweden were unique to these countries. Accounting for >20% of total contributions of injury deaths, the age group of 20-24 years had the greatest contributions to the narrowing SGLE/SGLD. Deaths due to falls in older ages and assault in younger ages generally contributed to the widening SGLE/SGLD., Conclusions: Injury deaths, particularly transport accidents, contributed significantly to the narrowing SGLE and SGLD across Nordic countries, with cross-country variations in age- and cause-specific patterns. The results suggest the need for injury prevention policies targeting self-inflicted injuries in younger and falls in older males., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Objectives: This study assessed associations of three theoretically different occupational class schemes with all-cause and cardiovascular mortality in Norwegian men and women., Study Design: Pooled survey and register data from four Norwegian cohort studies., Methods: We pooled survey data from four general population cohorts (N = 97,469) linked to national mortality registries with follow-up over 45 years. Survival was modelled using accelerated failure time models stratified by sex for three class schemes: The European Socio-Economic Classification (ESeC), The Oslo Register Data Class scheme (ORDC) and The International Socio-Economic Index (ISEI). Main analyses were adjusted for age, birth cohort, and study. Secondary analyses included smoking behaviour as a mediator., Results: During median 27.6 years of observation, 37,488 participants had died (13,243 from cardiovascular disease). Hazard ratios for male all-cause mortality were lowest in the highest occupational class categories ORDC 2: 0.68 (0.65-0.72), ESeC 1: 0.76 (0.73-0.79) and ISEI 5th quintile: 0.80 (0.77-0.82) compared to working class reference categories. Female mortality risks were lowest for Cultural Lower Middle class ORDC 7: 0.84 (0.72-0.98), Small Employers and Self-employed ESeC4: 0.70 (0.50-0.97) and ISEI 5th quintile: 0.79 (0.70-0.90). Patterns for cardiovascular mortality were similar to all-cause mortality. Including smoking behaviour as a mediator attenuated associations, but overall mortality patterns according to occupational class remained unchanged., Conclusion: The results underline that mortality inequalities do not simply consist of higher risks in the most disadvantaged groups. The association of occupational class with mortality is found across different categories of occupational class schemes, illustrating their continued relevance for studying social determinants of health., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Objectives: The aim of this study was to explore sex-specific disparities in rates of deaths of despair across 183 countries from 2000 to 2019., Study Design: Secondary analysis of cross-sectional population-level data., Methods: Data were obtained from the World Health Organization Health Inequality Data Repository. We analysed data on mortality due to alcohol, drug-use disorders, and self-harm (as a proxy for suicide). We calculated the average rate of deaths of despair by year and sex, trends in these rates, and cause-specific mortality trends. We then fitted mixed-effect generalised linear models to compare mortality rates by sex and country., Results: Analyses revealed significant disparities by sex, with a 3.3-fold higher rate among men than among women globally (95% confidence interval: 3.1-3.5, P < 0.001). There was a significant decline in deaths of despair globally and among both sexes during the assessed period (5% per 5 years). Lesotho, Belarus, the US, the Russian Federation, Guyana, and Slovenia ranked among the top 10 countries out of 183 with the highest mortality rates for both sexes. Canada, the Republic of Korea, Belgium, and Finland were countries with the highest mortality rates among women, whereas Ukraine, Lithuania, Mongolia, and Eswatini have the highest rates among men. In the US, 5-year mortality rates increased by 35% for women and 21% for men: drug-use mortality showed a significant increase over time, whereas suicide rates decreased for both sexes in the given country. Additionally, mortality rates from alcohol use decreased among women., Conclusions: This global analysis shed light on health disparities by sex in deaths of despair, especially concerning trends in the US. It identified countries and groups in need of targeted mental health and substance-use programs. Moreover, the disparities by sex revealed in this analysis suggest that mental health and substance-use interventions and programs may need to be more attentive to sex and/or gender, such as inequitable social norms and restrictive forms of masculinities, which have been shown to be contributing factors to deaths of despair., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Objectives: Adolescence is a crucial life stage that can lead to excess weight and body dissatisfaction. Social inequalities in these issues may have been exacerbated by the COVID-19 pandemic. We aimed to analyze the presence of socioeconomic inequalities and their changes in these inequalities stratified by sex in 13- to 19-year-olds in a large Mediterranean city (Barcelona, Spain)., Study Design: Cross-sectional population-based study., Methods: We used data from the 2016 and 2021 editions of the FRESC survey, which is a representative citywide survey that captures various aspects of adolescent health. Excess weight was determined by objective body mass index measurements. Body dissatisfaction was defined as the discrepancy between perceived and desired body shape. Socioeconomic status was divided into five pseudo-quintiles by using the Family Affluence Scale. We calculated the corresponding prevalence estimates and fitted robust Poisson regression models to estimate both simple and complex measures of inequality, including relative and absolute differences between the two survey years., Results: The overall prevalence of excess weight increased from 25.3% [23.9-26.6] to 29.8% [28.2-31.4] between 2016 and 2021. Similarly, body dissatisfaction increased from 44.2% [42.6-45.8] to 60.4% [58.7-62]. Socioeconomic inequalities in excess weight significantly increased in girls (adjusted ratio of the relative index of inequalities = 1.72 [1.08; 2.74] but not in boys. No significant changes were detected in body dissatisfaction in either girls or boys., Conclusions: Our findings highlight the presence of a sex-specific change in socioeconomic inequalities in adolescent well-being regarding excess weight and body dissatisfaction. These results underscore the need for local public policies to improve social equity in adolescent health., (Copyright © 2024 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.)

Objectives: Despite extensive public health initiatives, Bulgaria still has the lowest life expectancy at birth (LE) in the European Union. Sex and ethnic differences in LE and mortality are also exceptionally large. We aimed to identify what causes of death drive these wide disparities and thus provide clear targets for future public health interventions., Design and Methods: We conducted a retrospective analysis of mortality rates from 2010 to 2022 to assess sex disparities in LE by age and cause of death. Combining mortality data with the 2021 Bulgarian census also allowed us to study LE disparities among the three main ethnic groups (Bulgarians, Turks, and Roma). We implemented standard demographic decomposition methods to quantify the role of seven major causes of death on LE disparities., Results: We found that the difference between male and female LE has persisted for around seven years. Circulatory diseases contribute 3.66 years, or around 50% of the male-female gap. Ethnic LE disparities are larger for women than for men. Circulatory diseases account for more than 60% of these ethnic LE gaps. COVID-19 mortality explained between 0.5 and 1.1 years of the male-female gap. We found minimal differences in COVID-19 mortality across ethnic groups in Bulgaria., Conclusion: In Bulgaria, circulatory diseases contributed more to both the sex and ethnic LE gaps than in any other previously studied country. Our findings suggest that future public health policy initiatives should focus on circulatory diseases to narrow the Bulgarian LE disparities. One possible target for such a policy would be to reduce excessive smoking and alcohol consumption., (Published by Elsevier Ltd.)

Objectives: The aim of this study was to estimate the global burden, trends and health inequality of childhood nutritional deficiencies (CND) from 1990 to 2019., Study Design: This was an epidemiological study., Methods: Data were extracted from the 2019 Global Burden of Disease study. Estimates and 95% uncertainty intervals (UIs) for the rates and numbers were used to evaluate the global burden of CND. Temporal trends in the burden of CND were examined using Joinpoint analysis and average annual percentage changes. To assess health inequality, the slope index was used., Results: In 2019, 52 million new cases of CND and 105,000 deaths related to CND were recorded. Additionally, 435 million prevalence cases and 26 million disability-adjusted life years (DALYs) were recorded in the same year. From 1990 to 2019, the incidence rate of CND generally increased globally, except for the years 2010-2017; conversely, the prevalence, death and DALY rates exhibited decreasing trends over the study period. Half of the analysed regions and countries/territories demonstrated decreasing trends in the incidence, prevalence, death and DALY rates associated with CND. The incidence and prevalence of CND remained high in low-middle sociodemographic index (SDI) and low-SDI regions; however, they exhibited decreasing trends over the 30-year study period. The slope indexes showed that there were no significant changes in SDI-related inequality over 30 years., Conclusions: Despite decreasing trends in the prevalence, death and DALY rates associated with CND over the three decades, the degree of inequality related to SDI in the burden of nutritional deficiencies has not shown a significant decline. In summary, CND remain a major public health burden in middle-SDI and low-SDI countries., (Copyright © 2024 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.)

Objectives: Artificial intelligence (AI) is reshaping health and medicine, especially through its potential to address health disparities in low- and middle-income countries (LMICs). However, there are several issues associated with the use of AI that may reduce its impact and potentially exacerbate global health disparities. This study presents the key issues in AI deployment faced by LMICs., Study Design: Thematic analysis., Methods: PubMed, Scopus, Embase and the Web of Science databases were searched, from the date of their inception until September 2023, using the terms "artificial intelligence", "LMICs", "ethic∗" and "global health". Additional searches were conducted by snowballing references before and after the primary search. The final studies were chosen based on their relevance to the topic of this article., Results: After reviewing 378 articles, 14 studies were included in the final analysis. A concept named the 'AI Deployment Paradox' was introduced to focus on the challenges of using AI to address health disparities in LMICs, and the following three categories were identified: (1) data poverty and contextual shifts; (2) cost-effectiveness and health equity; and (3) new technological colonisation and potential exploitation., Conclusions: The relationship between global health, AI and ethical considerations is an area that requires systematic investigation. Relying on health data inherent with structural biases and deploying AI without systematic ethical considerations may exacerbate global health inequalities. Addressing these challenges requires nuanced socio-political comprehension, localised stakeholder engagement, and well-considered ethical and regulatory frameworks., (Copyright © 2024 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.)

Objectives: Racial disparity in physical activity in people with diabetes in Brazil remains scarcely investigated. We examined the association between physical activity and diabetes-related complications according to race in the Brazilian population., Study Design: Cross-sectional., Methods: We analyzed data from the 2019 National Health Survey, a population-based survey of Brazilian adults. We used a self-reported questionnaire to assess physical activity during commuting, leisure-time, domestic, and occupational activities. Diabetes-related complications included vision, kidney, and circulatory impairment, foot ulcers, diabetic coma, and all-cause complications. We used robust Poisson regression models with restricted cubic splines to examine the association between physical activity and diabetes-related complications., Results: We included 2529 adults with diabetes (48.9% women; mean age: 53.5 ± 11.9 years). One-third experienced diabetes-related complications. Black adults performed less leisure-time and more occupational and commuting physical activity than White participants. Black participants showed a higher probability of all-cause (1.61; 95%CI: 1.29, 2.02) and vision complications (1.58; 95%CI: 1.23, 2.04) compared to White participants independent of physical activity status. Only leisure-time physical activity was associated with a reduced probability of all-cause complications (PR: 0.78; 0.71, 0.86) whereas commuting and occupational physical activity were not associated with any diabetes-related complications. Physically inactive, Brown adults showed a higher probability of kidney, circulatory, vision, and all-cause complications than active, White adults. However, physical activity attenuated the probability of these complications in Brown participants., Conclusion: The association between physical activity and diabetes-related complications is domain-specific. We revealed a racial disparity in physical activity in people with diabetes in Brazil., (Copyright © 2024 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.)

Objectives: Overweight and obesity (OWOB) starts in childhood, influences adult cardiovascular risk, and is not equally distributed across ethnic groups. It is unclear which effects can be expected from reductions in OWOB across the life course on inequalities in cardio-metabolic diseases in a multi-ethnic population. This study aims to estimate the effects of three scenarios of changes in OWOB (the Normal-Weight-for-All scenario, the No-Ethnic-Difference-over-the-Life-Course scenario, the and No-Ethnic-Differences-in-Childhood scenario)., Study Design: A simulation study., Methods: We combine data from multiple data sources and use the Dynamic Modeling for Health Impact Assessment (DYNAMO-HIA) model to estimate the effects of three scenarios on the cumulative incidence of diabetes mellitus, ischaemic heart disease (IHD) and stroke between 18 and 70 years in the five largest ethnic groups in the Netherlands., Results: In the scenario where all individuals have normal weight, the cumulative incidence decreased in all ethnic minority groups for all diseases, with largest decreases among South-Asian Surinamese, where the reduction of diabetes incidence exceeded 50%. In the scenario where the prevalence of OWOB in each ethnic-minority group was reduced to the current level among the Dutch-origin population, ethnic inequalities in cardio-metabolic diseases were substantially reduced, particularly when lowered prevalence of OWOB persisted across the lifespan. Reductions were the largest for diabetes and for the Asian Surinamese population., Conclusions: A substantial part of the well-known ethnic inequalities in incidence of diabetes, IHD, and stroke can be attributed to OWOB. Interventions aimed at reducing OWOB have clear potential to reduce the health inequalities in these outcomes, especially for diabetes, in particular when they have an impact across the lifespan., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Objectives: Studies on sedentary behavior among adolescents in Africa are limited, hindering public health initiatives. The aim of this study was to examine the prevalence, age, gender, country's income level, and sub-regional disparities of sedentary behavior among adolescents in Africa., Study Design: Cross sectional., Methods: Adolescents who participated in the Global School-based Student Health Survey from the 23 participating African countries were included in the study. Sedentary behavior was assessed with a self-reported questionnaire. A meta-analysis using random effect modeling was used to estimate the prevalence, age, gender, country's income level, and sub-regional disparities of sedentary behavior., Results: Sixty three thousand six hundred thirty five adolescents (12-17 years) were included in the analysis. The prevalence of sedentary behavior was 30% (95% CI: 27%-34%) and significantly higher among adolescents in Southern Africa and East Africa compared to adolescents in West Africa and North Africa (Q = 25.15; P < 0.001). No disparities were found for age (Q =1.51; P = 0.22), gender (Q = 0.10; P = 0.75), country's income level (Q = 4.37; P = 0.11), and survey year (Q = 1.03; P = 0.31). The results were heterogeneous between countries., Conclusions: The results suggest that a significant proportion of adolescents in Africa engage in sedentary behavior, with the highest prevalence found in Southern Africa and East Africa. This highlights the need for context-specific policy design and interventions to increase physical activity engagement and limit sedentary behavior among adolescents in Africa., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Objectives: This paper aims to examine the psychometric properties of social capital indicators, comparing Black and White respondents to identify the extent of measurement invariance in social capital by race., Study Design: We used data from the longitudinal study Midlife in the United States (MIDUS), waves 1 through 3 (1995-2016)., Methods: Data were from 6513 respondents (5604 White and 909 Black respondents). Social capital indicators were social cohesion, contributions to community, and community involvement. We used Structural Equation Modeling and Item Response Theory methods to test for measurement invariance in social capital by race., Results: We observed violations of longitudinal and multi-group measurement invariance (MI) at configural and metric levels on two scales. Factor structures and indicator loadings were inconsistent over time. In IRT analysis, 'Many people come for advice' exhibited Differential Item Functioning (DIF), indicating a consistent advantage for White respondents on the contributions to community scale. Despite similar social capital levels (P(χ2,2) = 0.00), DIF was found in all contributions to community items and some community involvement items when examining race and education interaction., Conclusions: Invariance issues in social capital items suggest potential biases in comparing Black and White respondents. Recognizing these biases is essential. Future social capital research should assess existing data assumptions and involve stakeholders from diverse communities in creating new items., (Copyright © 2024 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.)

Objectives: We estimated COVID-19 mortality indicators in 2020-2021 to show the epidemic's impact at subnational levels and to analyze educational attainment-related inequalities in COVID-19 mortality in Brazil., Study Design: This was an ecological study with secondary mortality information., Methods: Crude and age-standardized COVID-19 mortality rates were calculated by gender, major regions, and states. The COVID-19 proportional mortality (percentage) was estimated by gender and age in each region. Measures of education-related inequalities in COVID-19 mortality were calculated per state, in each of which the COVID-19 maternal mortality rate (MMR) was estimated by the number of COVID-19 maternal deaths per 100,000 live births (LBs)., Results: The analysis of mortality rates at subnational levels showed critical regional differences. The North region proved to be the most affected by the pandemic, followed by the Center-West, with age-standardized COVID-19 mortality rates above 2 per 1000 inhabitants. The peak of COVID-19 mortality occurred in mid-March/April 2021 in all regions. Great inequality by educational level was found, with the illiterate population being the most negatively impacted in all states. The proportional mortality showed that males and females aged 50-69 years were the most affected. The MMR reached critical values (>100/100,000 LB) in several states of the North, Northeast, Southeast, and Center-West regions., Conclusions: This study highlights stark regional and educational disparities in COVID-19 mortality in Brazil. Exacerbated by the pandemic, these inequalities reveal potential areas for intervention to reduce disparities. The results also revealed high MMRs in certain states, underscoring pre-existing healthcare access challenges that worsened during the pandemic., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Objectives: Protein-energy malnutrition poses a serious medical problem worldwide. This study aims to describe the global burden, trends, and health inequalities of protein-energy malnutrition and forecasts for future prevalence., Study Design: This was a comprehensive analysis based on data provided by the Global Burden of Disease Study 2019., Methods: Data were obtained from the Global Health Data Exchange query tool, including prevalence, deaths, disability-adjusted life years (DALYs) and sociodemographic index (SDI). The estimated annual percentage changes were calculated to evaluate temporal trends. We quantified cross-country inequalities in protein-energy malnutrition burden and predicted the prevalence number and rate to 2044., Results: Globally, there were 147,672,757 (130,405,923 to 167,471,359) cases of protein-energy malnutrition in 2019, with 212,242 (185,403 to 246,217) deaths. Eastern Sub-Saharan Africa had the highest age-standardised death and DALY rates in 2019. From 1990 to 2019, the global age-standardised prevalence rate of protein-energy malnutrition showed an upward trend, while the age-standardised death rate showed a downward trend. A significant decline occurred in SDI-related health inequality, from 2126.1 DALYs per 100,000 persons between the poorest and richest countries in 1990 to 357.9 DALYs per 100,000 persons in 2019. There was a trend of decreasing age-standardised death and DALY rates along with increases in the SDI. Frontier analyses showed that there is much room for improving the current situation of protein-energy malnutrition in some countries. In the next 35 years, the prevalence of protein-energy malnutrition will continue to increase., Conclusion: Although the disease burden of protein-energy malnutrition has greatly decreased since 1990 and health inequalities between countries are shrinking, the prevalence in Asian and African countries may continue to increase. Focussing on regional differences and strengthening the nutritional intake of people in underdeveloped areas are necessary to reduce future burdens., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Objective: The objective of this study was to describe non-communicable disease (NCD) mortality attributable to diets low in whole grains, fruits, and vegetables in Brazil in 2019., Study Design: Ecological study., Methods: Data from the Global Burden of Disease 2019 for adults aged ≥25 years of both sexes in Brazil and its 27 states were used to estimate the intake of fruits, vegetables, and whole grains; the NCD mortality attributable to these dietary risk factors; and the correlation between socio-demographic index (SDI), the age-standardised mortality rate (ASMR) per 100,000 population, and intake., Results: The Brazilian population had suboptimal consumption of fruits, vegetables, and whole grains, and 62,439 NCD deaths were attributable to these three dietary risk factors in 2019. The highest ASMRs were found for diets low in whole grains (14.4, 95% uncertainty interval [95% UI]: 7.8-18.4), followed by diets low in vegetables (7.6, 95% UI: 4.8-10.3) and fruits (5.0, 95% UI: 3.2-7.0). A similar ranking was observed for all Brazilian states. The SDI was negatively correlated with ASMRs and was positively correlated with the investigated dietary risks. The population from the Northeast and North states presented the lowest SDI and the highest NCD ASMRs attributable to diets low in fruits, vegetables, and whole grains and consumed less of all three health foods., Conclusion: Diets low in fruits, vegetables, and mainly whole grains substantially contributed to NCD mortality in Brazil, especially in states with low SDI. Our findings support the need to target food interventions to reduce regional health inequalities within the country., (Copyright © 2023 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.)

Objectives: To evaluate how educational, economic, and racial residential segregation may impact congenital heart disease infant mortality (CHD-IM)., Study Design: This is a population-based US ecological study., Methods: This study evaluated linked live birth-infant death files from the National Center for Health Statistics for live births from 2006 to 2018 with cause of death attributed to CHD. Maternal race and education data were obtained from the live birth-infant death files, and income data were obtained from the American Community Survey. A spatial social polarization measure termed the Index of Concentration at the Extremes (ICE) was calculated and split by quintiles for maternal education, household income, and race for all US counties (n = 3142). The lowest quintile represents counties with highest concentration of disadvantaged groups (income < $25K, non-Hispanic Black, no high school degree). Proximity to a pediatric cardiac center (PCC) was also analyzed in a categorical manner based on whether each county was in a metropolitan area with a US News and World Report top 50 ranked PCC, a lower ranked PCC, or not proximal to any PCC., Results: Between 2006 and 2018, 17,489 infant deaths were due to CHD, an unadjusted CHD-IM of 0.33 deaths per 1000 live births. The risk of CHD-IM was 1.5 times greater among those in the lowest ICE-education quintile (0.41 [0.39-0.44] vs 0.28 deaths/1000 live births [0.27-0.29], P < 0.0001) and the lowest ICE-income quintile (0.44 [0.41-0.47] vs 0.29 [0.28-0.30], P < 0.0001) in comparison to those in the highest quintiles. CHD-IM increases with higher ICE-race value (counties with a higher concentration of non-Hispanic White mothers). However, after adjusting for proximity to a US News and World Report top 50 ranked PCC in the multivariable models, CHD-IM decreases with higher ICE-race value., Conclusions: Counties with the highest concentration of lower-educated mothers and the highest concentration of low-income households were associated with higher rates of CHD-IM. Mortality as a function of race is more complicated and requires further investigation., (Published by Elsevier Ltd.)

Objectives: The study aimed to analyze the global burden of occupational neoplasms from various epidemiological perspectives., Study Design: In this cross-sectional study, secondary analyses were conducted to assess the burden of neoplasms attributable to occupational carcinogens and their distribution characteristics using data from GBD 2019 and the World Bank database., Methods: Based on the GBD 2019 and the World Bank database, we analyzed the global burden of occupational neoplasms including the age-period-cohort model, decomposition analysis, health inequality analysis, and panel model. All analyses were conducted in R (version 4.0.3) and Joinpoint (version 4.9.1)., Results: The absolute number of neoplasms burden attributable to occupational carcinogens has continued to rise over 30 years. In 2019, occupational neoplasms caused 333,867 [95% uncertainty interval (UI): 263,491 to 404,641] mortalities and 6,964,775 (95% UI: 5,467,884 to 8,580,431) disability-adjusted life years (DALYs) globally. Greenland, Monaco, the Netherlands, and Andorra suffered the highest burden. The burden was higher in countries with a higher sociodemographic index. The age effect was prominent in the elderly, and the 1925 birth cohort had the highest cohort effect. Population growth was the most significant driver of the mortalities (89%) and DALYs (111%) change. Moreover, the proportion of urban population was significantly positively associated with the disease burden, while GDP per capita was negatively correlated with the disease burden., Conclusions: The burden of occupational neoplasms was unevenly distributed across locations and populations. The need for rational allocation of healthcare resources was urgent., (Copyright © 2023 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.)

Objective: Although social disparities in morbidity and mortality are well-documented, little is known how socioeconomic status (SES) shapes diabetes-concordant comorbidity (DCC). This study examines socioeconomic inequalities in DCC among adults with diabetes in the United States., Study Design: The study incorporated a cross-sectional nationally representative household health survey., Methods: This study used data from the National Health Interview Survey, 1997-2018. The analysis included 56,192 adults aged 30 or above with diabetes. Multinomial logistic regression was used to obtain relative risk ratios in gender-stratified models after adjusting for sociodemographic covariates., Results: The multivariable-adjusted analyses suggest that across all SES indicators and in both men and women, individuals with lower SES had greater odds of DCC than individuals with higher SES. The associations of SES indicators with DCC were larger in magnitude among women than in men. For example, compared to individuals with a college or higher degree, men with less than a high school degree were 2.06 times (95% confidence interval = 1.76-2.41) and women with less than a high school degree were 3.19 times (95% confidence interval = 2.67-3.82) more likely to have 3 or more DCCs. Similar associations were observed for other indicators of SES., Conclusion: Study findings suggest strong social status and gender-based patterns in DCC. Identifying population groups with poor social status may be useful for informing interventions aiming to improve healthcare services of diabetes-related complications., (Copyright © 2023 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.)

Objectives: Attempts to reduce health inequities in England frequently prioritise some equity dimensions over others. Intersectionality highlights how different dimensions of inequity interconnect and are underpinned by historic and institutionalised power imbalances. We aimed to explore whether intersectionality could help us shed light on young adults' understanding of health inequities., Study Design: The study incorporatedqualitative thematic analysis of primary data., Methods: Online focus groups with young adults (n = 25) aged 18-30 living in three English regions (Greater London; South Yorkshire/Midlands; North-East England) between July 2020 and March 2021. Online semistructured interviews (n = 2) and text-based communication was conducted for participants unable to attend online groups., Results: Young adults described experiencing discrimination, privilege, and power imbalances driving health inequity and suggested ways to address this. Forms of inequity included cumulative, within group, interacting, and the experience of privilege alongside marginalisation. Young adults described discrimination occurring in settings relevant to social determinants of health and said it adversely affected health and well-being., Conclusion: Intersectionality, with its focus on discrimination and identity, can help public health stakeholders engage with young adults on health equity. An upstream approach to improving health equity should consider multiple and intersecting forms of discrimination along with their cultural and institutional drivers., (Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Objectives: This study aimed to quantify the difference in mortality inequalities using the Scottish Index of Multiple Deprivation (SIMD) and the Income and Employment Index (IEI; a subindex of SIMD, which excludes health) as ranking measures in Scotland., Study Design: This ecological study was a cross-sectional analysis of routine administrative data., Methods: Data from the 2020 SIMD and the subindex using data from only the Income and Employment domains, the IEI, were obtained. The correlation between data zones, percentage of data zones that changed deprivation tenth and differences in the Slope Index of Inequality (SII) and Relative Index of Inequality (RII) for Standardised Mortality Ratios (SMRs) across tenths were compared when data zones were ranked by SIMD and IEI., Results: There was a close correlation between data zones ranked by SIMD and IEI (R 2  = 0.96). When data zones were ranked by IEI, 18.7% of data zones moved to a lower deprivation tenth, and 20.8% of data zones moved to a higher deprivation tenth, compared with SIMD. However, only a negligible number of data zones moved two or more tenths. The SMRs across deprivation tenths were very similar between the SIMD and IEI, as were the summary health inequality measures of SII (87.3 compared with 85.7) and RII (0.88 and 0.86)., Conclusion: Although there is a logical problem in using deprivation indices that include health outcomes to rank areas to calculate the scale of health inequalities, the impact of using an alternative subindex containing only data from the income and employment domains is minimal. For population-wide analyses of health inequalities in Scotland, the SIMD does not introduce a substantial bias in the health inequalities summary measures despite substantial movement of small areas between ranked population tenths. Although not examined here, this is likely to be relevant to other similar indices across the United Kingdom., (Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Objectives: This study aimed to explore socio-economic inequalities in the health status of older people in China using the most recent data available., Study Design: This was a cross-sectional study., Methods: Data for this study were obtained from the 2018 China Health and Retirement Longitudinal Study, which included 9831 subjects aged 60 years and older. We assessed differences in the prevalence of self-reported health, functional limitations, and chronic conditions by education level and household income level, and then estimated the Slope of Inequality Index (SII) and the Relative Inequality Index (RII) - indexes of the relative magnitude of socio-economic inequalities in health., Results: We found inequalities in all dimensions of health (self-assessed health status, reported chronic conditions, and physical functional limitations) at the household income level. Physical functional limitations, particularly the ability to perform instrumental activities of daily living, produced greater inequality than other domains, with an adjusted SII of 0.495 (95% CI, 0.467-0.524) and an adjusted RII of 2.129 (95% CI, 1.604-2.653). ADL limitations (adjusted SII, 0.524, 95% CI, 0.473-0.575, adjusted RII, 1.527, 95% CI, 1.027-2.027) and self-measured health (adjusted SII, 0.523, 95% CI, 0.258-0.789, adjusted RII, 1.531, 95% CI, 0.551-2.512) were also clearly different. Inequalities were also found across all health domains in terms of educational attainment. Consistent with inequalities in household income, inequalities were greatest for limitations in the ability to perform instrumental activities of daily living (adjusted SII, 0.581, 95% CI, 0.424-0.739, adjusted RII, 3.699, 95% CI, 3.642-3.757). Relative inequalities in limitations in activities of daily living (adjusted SII, 0.676, 95% CI, 0.560-0.792, adjusted RII, 2.587, 95% CI, 2.392-2.784) and self-rated health (poor/very poor) (adjusted SII, 0.647, 95% CI, 0.617-0.677, adjusted RII, 2.406, 95% CI, 2.224-2.587) were also higher., Conclusion: Our study shows significant socio-economic differences in the areas of self-rated health, functional limitations, and reported chronic diseases, particularly in the area of IADL limitations. These inequalities need to be explicitly addressed and vulnerable subgroups should be targeted to reduce the socio-economic disparities., (Copyright © 2022 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.)

Objectives: This study aimed at evaluating territorial inequalities in avoidable mortality in children under 5 years of age in Colombia between 2000 and 2019., Study Design: This was an ecological study., Methods: An ecological, longitudinal, multigroup study was conducted using secondary sources. Because of the hierarchical structure of the data, the effect of territorial characteristics on the count of avoidable under-five deaths was estimated using a three-level negative binomial regression model with random intercepts for municipality and fixed intercepts for time and departments., Results: Between 2000 and 2019, there were 216,809 avoidable under-five deaths in Colombia (91.3% of all registered deaths of children under 5 years of age). A total of 1117 municipalities located in 33 departments were analyzed over five 4-year periods. Ecological relationships were found between avoidable under-five mortality and the percentage of adolescent births, female illiteracy, and multidimensional poverty at the municipal level (standardized mortality ratio: 1.43 95% confidence interval: 1.33-1.54 for the group with the highest level vs the group with the lowest level of poverty). Furthermore, multidimensional poverty was a confounding factor for the association between the percentage of the population living in rural areas and avoidable child mortality., Conclusions: Systematic and avoidable gaps were observed in mortality in children aged under 5 years in Colombia, where the territory constitutes an axis of inequality. Implementing strategies and programs that contribute to improving the conditions of women and socio-economic conditions in the territories should be a priority., (Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.)