UNASSIGNED: - Coal mining areas in the UK continue to suffer worse health outcomes despite the industry disappearing by the early 1990s. Unemployment and deprivation are cited as key explanations. However, as the health effects of hazardous working environments continue after the industry\'s closure, it is unclear to what extent this ongoing health deficit is due to the legacy health effect of coal mining versus socioeconomic factors, including unemployment and deprivation.
UNASSIGNED: - I isolate the legacy health effect of coal mining using a matching research design. Coal mining areas are paired with non-mining areas using propensity score matching. This creates a sample of socioeconomically similar local authority districts in England and Wales. I estimate the effect of coal mining on male and female age-standardised period mortality rates for 1981-2019, analysing temporal dynamics and testing for convergence.
UNASSIGNED: - I find an initial coal mining effect in 1981 on male (female) mortality rates of 122.6 (66.5) deaths per 100,000. This effect decreases by 91% (70%) during this period, indicating convergence in mortality rates. The timing of this convergence is consistent with that of the industry\'s closure, with higher convergence rates observed during the 1990s.
UNASSIGNED: - These results provide evidence for a legacy health effect on mortality from coal mining and convergence in mortality rates between 1981 and 2019. This effect is important when explaining the health deficit experienced by coal mining areas. Furthermore, as coal mining areas tend to be more deprived, these results also shed light on relevant mechanisms driving recent health inequality in the UK.

UNASSIGNED: Socio-economic background is often an important determinant for health with low income households having higher exposure to risk factors and diminished access to healthcare and prevention, in a way that is specific to each country.
UNASSIGNED: Here, we perform a comparative analysis of the relations between health and income inequality in two developed countries, USA and Italy, using longitudinal and cross-sectional data from surveys.
UNASSIGNED: We show that the income class determines the incidence of chronic pathologies, associated risk-factors and psychiatric conditions, but find striking differences in health inequality between the two countries. We then focus our attention on a fraction of very disadvantaged households in the USA whose income in persistently at the bottom of the distribution over a span of 20 years and which is shown to display particularly dire health conditions. Low income people in the USA also display comorbidity patterns that are not found in higher income people, while in Italy income appears to be less relevant for comorbidity. Taken together our findings illustrate how differences in lifestyle and the healthcare systems affect health inequality.

BACKGROUND: Since 2020, China has piloted an innovative payment method known as the Diagnosis-Intervention Packet (DIP). This study aimed to assess the impact of the DIP on inpatient volume and bed allocation and their regional distribution. This study investigated whether the DIP affects the efficiency of regional health resource utilization and contributes to disparities in health equity among regions.
METHODS: We collected data from a central province in China from 2019 to 2022. The treatment group included 508 hospitals in the pilot area (Region A, where the DIP was implemented in 2021), whereas the control group consisted of 3,728 hospitals from non-pilot areas within the same province. We employed the difference-in-differences method to analyze inpatient volume and bed resources. Additionally, we conducted a stratified analysis to examine whether the effects of DIP implementation varied across urban and rural areas or hospitals of different levels.
RESULTS: Compared with the non-pilot regions, Region A experienced a statistically significant reduction in inpatient volume of 14.3% (95% CI 0.061-0.224) and a notable decrease of 9.1% in actual available bed days (95% CI 0.041-0.141) after DIP implementation. The study revealed no evidence of patient consultations shifting from inpatient to outpatient services due to the reduction in hospital admissions in Region A after DIP implementation. Stratified analysis revealed that inpatient volume decreased by 12.4% (95% CI 0.006-0.243) in the urban areas and 14.7% in the rural areas of Region A (95% CI 0.051-0.243). At the hospital level, primary hospitals experienced the greatest impact, with a 19.0% (95% CI 0.093-0.287) decline in inpatient volume. Furthermore, primary and tertiary hospitals experienced significant reductions of 11.0% (95% CI 0.052-0.169) and 8.2% (95% CI 0.002-0.161), respectively, in actual available bed days.
CONCLUSIONS: Despite efforts to curb excessive medical service expansion in the region following DIP implementation, large hospitals continue to attract a large number of patients from primary hospitals. This weakening of primary hospitals and the subsequent influx of patients to urban areas may further limit rural patients\' access to medical services. The implementation of the DIP may raise concerns about its impact on health care equality and accessibility, particularly for underserved rural populations.

UNASSIGNED: Migration-related factors, such as language barriers, can be relevant to the risk, healthcare and complications of type 2 diabetes in people with a history of migration. Diabetes-related data from people with selected citizenships were analysed on the basis of the nationwide survey German Health Update: Fokus (GEDA Fokus).
UNASSIGNED: The diabetes risk of persons without diabetes (n = 4,698, 18 - 79 years), key figures on healthcare and secondary diseases of persons with type 2 diabetes (n = 326, 45 - 79 years) and on concomitant diseases (n = 326 with type 2 diabetes compared to n = 2,018 without diabetes, 45 - 79 years) were stratified according to sociodemographic and migration-related characteristics.
UNASSIGNED: Better German language proficiency is associated with a lower risk of diabetes. Diabetes-related organ complications are observed more frequently in persons who report experiences of discrimination in the health or care sector. Both persons with and without diabetes are more likely to have depressive symptoms when they reported experiences of discrimination. A stronger sense of belonging to the society in Germany is associated with reporting depressive symptoms less often in people without diabetes, but not in people with type 2 diabetes.
UNASSIGNED: The differences according to migration-related characteristics indicate a need for improvement in the prevention and care of type 2 diabetes. Migration-sensitive indicators should be integrated into the surveillance of diabetes.

BACKGROUND: Obstructed labor (OL) and uterine rupture (UR) are common obstetric complications. This study explored the burden, risk factors, decomposition, and health inequalities associated with OL and UR to improve global maternal health.
METHODS: This was a cross-sectional analysis study including data on OL and UR from the Global Burden of Diseases, and Risk Factors Study (GBD) 2019. The main outcome measures included the number and age-standardized rate (ASR) of incidence, disability-adjusted life years (DALYs), prevalence, and deaths.
RESULTS: The global burden of OL and UR has declined, with a decrease in incidence (number in 2019: 9,410,500.87, 95%UI 11,730,030.94 to 7,564,568.91; ASR in 2019: 119.64 per 100,000, 95%UI 149.15 to 96.21; estimated annual percentage change [EAPC] from 1990 to 2019: -1.34, 95% CI -1.41 to -1.27) and prevalence over time. However, DALYs (number in 2019: 999,540.67, 95%UI 1,209,749.35 to 817,352.49; ASR in 2019: 12.92, 95%UI 15.63 to 10.56; EAPC from 1990 to 2019: -0.91, 95% CI -1.26 to -0.57) and deaths remain significant. ASR of DALYs increased for the 10-14 year-old age group (2.01, 95% CI 1.53 to 2.5), the 15-19 year-old age group (0.07, 95% CI -0.47 to 0.61), Andean Latin America (3.47, 95% CI 3.05 to 3.89), and Caribbean (4.16, 95% CI 6 to 4.76). Iron deficiency was identified as a risk factor for OL and UR, and its impact varied across different socio-demographic indices (SDIs). Decomposition analysis showed that population growth primarily contributed to the burden, especially in low SDI regions. Health inequalities were evident, the slope and intercept for DALYs were - 47.95 (95% CI -52.87 to -43.02) and - 29.29 (95% CI -32.95 to -25.63) in 1990, 39.37 (95%CI 36.29 to 42.45) and 24.87 (95%CI 22.56 to 27.18) in 2019. Concentration indices of ASR-DALYs were - 0.2908 in 1990 and - 0.2922 in 2019.
CONCLUSIONS: This study highlights the significant burden of OL and UR and emphasizes the need for continuous efforts to reduce maternal mortality and morbidity. Understanding risk factors and addressing health inequalities are crucial for the development of effective interventions and policies to improve maternal health outcomes globally.

The aim of this study was to examine the association between health vulnerability and food consumption according to the NOVA classification within primary care in a major Brazilian city. A cross-sectional study was conducted among adults over 20 years old. These participants were part of a representative sample from the Health Academy Program (PAS) in Belo Horizonte, Brazil. We evaluated socio-demographic variables, self-reported illnesses, perceived health and quality of life, and the length of participation in PAS. Health vulnerability was gauged through the Health Vulnerability Index (HVI), which is calculated for each census sector and classified as low, medium, and high/very high. On the other hand, food consumption was determined by evaluating the average consumption described in a 24 h diet recall (24HR) and categorizing it under the NOVA classification: culinary preparations, processed foods, and ultra-processed foods (UPFs). The average calorie intake was 1429.7 kcal, primarily from culinary preparations (61.6%) and UPFs (27.4%). After adjustments, individuals residing in high/very high-HVI areas consumed more culinary preparations (β = 2.7; 95%CI: 4.7; 0.7) and fewer UPFs (β = -2.7; 95%CI: -4.7; -0.7) compared to those from low-vulnerability areas. PAS participants residing in more vulnerable areas reported healthier dietary habits, consuming more homecooked meals and fewer UPFs. These findings underscore the importance of concentrating efforts on promoting and preserving healthy eating habits and emphasizing the value of home cooking in the most vulnerable regions.

BACKGROUND: During the COVID-19 pandemic, single parents and their children were particularly exposed to stress due to the containment measures and to limited resources. We analyzed differences in the social and health situation of children and adolescents in one-parent households and two-parent households at the end of the pandemic.
METHODS: The analysis is based on data from the KIDA study, in which parents of 3‑ to 15-year-old children as well as 16- to 17-year-old adolescents were surveyed in 2022/2023 (telephone: n = 6992; online: n = 2896). Prevalences stratified by family type were calculated for the indicators psychosocial stress, social support, health, and health behavior. Poisson regressions were adjusted for gender, age, level of education, and household income.
RESULTS: Children and adolescents from one-parent households are more likely to be burdened by financial restrictions, family conflicts, and poor living conditions and receive less school support than peers from two-parent households. They are more likely to have impairments in health as well as increased healthcare needs, and they use psychosocial services more frequently. Furthermore, they are less likely to be active in sports clubs, but they take part in sporting activities at schools as often as minors from two-parent households. The differences are also evident when controlling for income and education.
CONCLUSIONS: Children and adolescents from one-parent households can be reached well through exercise programs in a school setting. Low-threshold offers in daycare centers, schools, and the community should therefore be further expanded. Furthermore, interventions are needed to improve the socioeconomic situation of single parents and their children.
UNASSIGNED: EINLEITUNG: In der COVID-19-Pandemie waren Alleinerziehende und ihre Kinder durch die Eindämmungsmaßnahmen und aufgrund oftmals geringer Ressourcen in besonderem Maße Belastungen ausgesetzt. Es wird analysiert, inwieweit sich zum Ende der Pandemie Unterschiede in der sozialen und gesundheitlichen Lage von Kindern und Jugendlichen in Ein-Eltern- und Zwei‑Eltern-Haushalten zeigen.
METHODS: Die Analyse basiert auf Daten der KIDA-Studie, in der 2022/2023 Eltern von 3‑ bis 15-Jährigen und 16- bis 17-Jährige befragt wurden (telefonisch: n = 6992; online: n = 2896). Für die Indikatoren psychosoziale Belastungen, soziale Unterstützung, Gesundheit und Gesundheitsverhalten wurden nach Familienform stratifizierte Prävalenzen berechnet. In Poisson-Regressionen wurde für Geschlecht, Alter, Bildung und Haushaltseinkommen adjustiert.
UNASSIGNED: Heranwachsende aus Ein-Eltern-Haushalten sind häufiger durch finanzielle Einschränkungen, familiäre Konflikte und beengte Wohnverhältnisse belastet und erfahren weniger schulische Unterstützung als Gleichaltrige aus Zwei‑Eltern-Haushalten. Sie haben häufiger gesundheitliche Beeinträchtigungen sowie einen erhöhten Versorgungsbedarf und nehmen häufiger psychosoziale Angebote in Anspruch. Sie sind zwar seltener in Sportvereinen aktiv, nehmen jedoch gleich häufig an Sport-AGs in Schulen teil wie Gleichaltrige aus Zwei-Eltern-Haushalten. Die Unterschiede zeigen sich auch bei Kontrolle für Einkommen und Bildung.
CONCLUSIONS: Kinder und Jugendliche aus Ein-Eltern-Haushalten können über Bewegungsangebote im schulischen Setting gut erreicht werden. Niedrigschwellige Angebote in Kita, Schule und Kommune sollten daher weiter ausgebaut werden. Weiterhin bedarf es Maßnahmen zur Verbesserung der sozioökonomischen Lage von Alleinerziehenden und ihren Kindern.

METHODS: The Global Burden of Diseases, Injuries, and Risk Factors study (GBD) 2019.
BACKGROUND: To describe burden, and to explore cross-country inequalities according to socio-demographic index (SDI) for stroke and subtypes attributable to diet.
METHODS: Death and years lived with disability (YLDs) data and corresponding estimated annual percentage changes (EAPCs) were estimated by year, age, gender, location and SDI. Pearson correlation analysis was performed to evaluate the connections between age-standardized rates (ASRs) of death, YLDs, their EAPCs and SDI. We used ARIMA model to predict the trend. Slope index of inequality (SII) and relative concentration index (RCI) were utilized to quantify the distributive inequalities in the burden of stroke.
RESULTS: A total of 1.74 million deaths (56.17% male) and 5.52 million YLDs (55.27% female) attributable to diet were included in the analysis in 2019.Between 1990 and 2019, the number of global stroke deaths and YLDs related to poor diet increased by 25.96% and 74.76% while ASRs for death and YLDs decreased by 42.29% and 11.34% respectively. The disease burden generally increased with age. The trends varied among stroke subtypes, with ischemic stroke (IS) being the primary cause of YLDs and intracerebral hemorrhage (ICH) being the leading cause of death. Mortality is inversely proportional to SDI (R = -0.45, p < 0.001). In terms of YLDs, countries with different SDIs exhibited no significant difference (p = 0.15), but the SII changed from 38.35 in 1990 to 45.18 in 2019 and the RCI showed 18.27 in 1990 and 24.98 in 2019 for stroke. The highest ASRs for death and YLDs appeared in Mongolia and Vanuatu while the lowest of them appeared in Israel and Belize, respectively. High sodium diets, high red meat consumption, and low fruit diets were the top three contributors to stroke YLDs in 2019.
CONCLUSIONS: The burden of diet-related stroke and subtypes varied significantly concerning year, age, gender, location and SDI. Countries with higher SDIs exhibited a disproportionately greater burden of stroke and its subtypes in terms of YLDs, and these disparities were found to intensify over time. To reduce disease burden, it is critical to enforce improved dietary practices, with a special emphasis on mortality drop in lower SDI countries and incidence decline in higher SDI countries.

UNASSIGNED: In 2017, China launched a comprehensive reform of public hospitals and eliminated drug markups, aiming to solve the problem of expensive medical treatment and allow poor and low-income people to enjoy basic health opportunities. This study attempts to evaluate the policy impact of public hospital reform on the health inequality of Chinese residents and analyze its micro-level mechanism from the perspective of household consumption structure. Studying the inherent causal connection between public hospital reform and health inequality is of paramount significance for strengthening China\'s healthcare policies, system design, raising the average health level of Chinese residents, and achieving the goal of ensuring a healthy life for individuals of all age groups.
UNASSIGNED: Based on the five waves of data from the China Family Panel Studies (CFPS) conducted in 2012-2020, We incorporates macro-level statistical indicators such as the time of public hospital reforms, health insurance surplus, and aging, generating 121,447 unbalanced panel data covering 27 provinces in China for five periods. This data was used to explore the impact of public hospital reform on health inequality. Logical and empirical tests were conducted to determine whether the reform, by altering family medical care and healthy leisure consumption expenditures, affects the micro-pathways of health inequality improvement. We constructed a two-way fixed model based on the re-centralized influence function (RIF_CI_OLS) and a chained mediation effects model to verify the hypotheses mentioned above.
UNASSIGNED: Public hospital reform can effectively improve the health inequality situation among Chinese residents. The reform significantly reduces household medical expenses, increases healthy leisure consumption, promotes the upgrading of family health consumption structure, and lowers the health inequality index. In terms of indirect effects, the contribution of the increase in healthy leisure consumption is relatively greater.
UNASSIGNED: Public hospital reform significantly alleviates health inequality in China, with household health consumption serving as an effective intermediary pathway in the aforementioned impact. In the dual context of global digitization and exacerbated population aging, enhancing higher education levels and vigorously developing the health industry may be two key factors contributing to this effect.

UNASSIGNED: We evaluated the long-term effects of air pollution controls on health and health inequity among Chinese >45 years of age.
UNASSIGNED: Data were derived from the China Health Aging and Retirement Longitudinal Survey and the China National Environmental Monitoring Centre. Decreases in PM2.5 and PM10 were scaled to measure air quality controls. We used a quasi-experimental design to estimate the impact of air quality controls on self-reported health and health inequity. Health disparities were estimated using the concentration index and the horizontal index.
UNASSIGNED: Air pollution controls significantly improved self-reported health by 20% (OR 1.20, 95% CI, 1.02-1.42). The poorest group had a 40% (OR 1.41, 95% CI, 0.96-2.08) higher probability of having excellent self-reported health after air pollution controls. A pro-rich health inequity was observed, and the horizontal index decreased after air pollution controls.
UNASSIGNED: Air pollution controls have a long-term positive effect on health and health equity. The poorest population are the main beneficiaries of air pollution controls, which suggests policymakers should make efforts to reduce health inequity in air pollution controls.