A prospective health economic evaluation to determine the productivity loss due to premature mortality from oral cancer in India.

INTRODUCTION: India contributes two-thirds of the global mortality due to oral cancer and has a younger population at risk. The societal costs of this premature mortality are barely discussed. METHODS: Using the human capital approach, we aimed to estimate the productivity lost due to premature mortality, valued using individual socioeconomic data, related to oral cancer in India. A bottom-up approach was used to prospectively collect data of 100 consecutive patients with oral cancer treated between 2019 and 2020, with a follow-up of 36 months. RESULTS: The disease-specific survival for early and advanced stage was 85% and 70%, with a median age of 47 years. With 671 years lost prematurely, the loss of productivity was $41 900/early and $96 044/advanced stage. Based on population level rates, the total cost of premature mortality was $5.6 billion, representing 0.18% of GDP. CONCLUSION: India needs to implement tailored strategies to reduce the economic burden from premature mortality.

Disparities in Mortality by Sexual Orientation in a Large, Prospective Cohort of Female Nurses.

Importance: Extensive evidence documents health disparities for lesbian, gay, and bisexual (LGB) women, including worse physical, mental, and behavioral health than heterosexual women. These factors have been linked to premature mortality, yet few studies have investigated premature mortality disparities among LGB women and whether they differ by lesbian or bisexual identity. Objective: To examine differences in mortality by sexual orientation. Design, Setting, and Participants: This prospective cohort study examined differences in time to mortality across sexual orientation, adjusting for birth cohort. Participants were female nurses born between 1945 and 1964, initially recruited in the US in 1989 for the Nurses' Health Study II, and followed up through April 2022. Exposures: Sexual orientation (lesbian, bisexual, or heterosexual) assessed in 1995. Main Outcome and Measure: Time to all-cause mortality from assessment of exposure analyzed using accelerated failure time models. Results: Among 116 149 eligible participants, 90 833 (78%) had valid sexual orientation data. Of these 90 833 participants, 89 821 (98.9%) identified as heterosexual, 694 (0.8%) identified as lesbian, and 318 (0.4%) identified as bisexual. Of the 4227 deaths reported, the majority were among heterosexual participants (n = 4146; cumulative mortality of 4.6%), followed by lesbian participants (n = 49; cumulative mortality of 7.0%) and bisexual participants (n = 32; cumulative mortality of 10.1%). Compared with heterosexual participants, LGB participants had earlier mortality (adjusted acceleration factor, 0.74 [95% CI, 0.64-0.84]). These differences were greatest among bisexual participants (adjusted acceleration factor, 0.63 [95% CI, 0.51-0.78]) followed by lesbian participants (adjusted acceleration factor, 0.80 [95% CI, 0.68-0.95]). Conclusions and Relevance: In an otherwise largely homogeneous sample of female nurses, participants identifying as lesbian or bisexual had markedly earlier mortality during the study period compared with heterosexual women. These differences in mortality timing highlight the urgency of addressing modifiable risks and upstream social forces that propagate and perpetuate disparities.

Socio-economic factors related to premature death from colorectal cancer in Santiago de Chile, 2014-2018: a cross-sectional study.

OBJECTIVES: In Chile, colorectal cancer (CRC) is the fourth cause of death by cancer. Few studies have evaluated the role of contextual and individual socio-economic variables associated with premature death by CRC (<70 years). We analyzed the association between socio-economic factors (at individual and contextual levels) and premature death from CRC in Santiago de Chile. STUDY DESIGN: This was a cross-sectional study. METHODS: We analyzed deaths from CRC between 2014 and 2018 using data published by the Ministry of Health. Individual predictors were sex, marital status, and educational level. Contextual variable included the Social Priority Index (SPI) of the commune where the deceased lived. The association was assessed through multilevel logistic regression models. RESULTS: During the period, 4762 deaths occurred (51.7% women); 39.3% were premature. At the individual level, male sex (odds ratio [OR] 1.36; 95% confidence interval [CI] 1.20-1.53) and single marital status (OR 1.45; 95% CI 1.24-1.68) were associated with premature death from CRC. Primary or lower education was a protective factor (OR 0.53; 95% CI 0.47-0.60). At the contextual level, communes with a higher SPI were three times more at risk than those with a lower SPI (OR 3.13; 95% CI 2.15-4.57). CONCLUSIONS: This study showed that individual and contextual socio-economic variables are related to premature death from CRC. Residing in communes with greater socio-economic vulnerability was associated with greater risk. To reduce this gap, it is urgent to design and implement structural policies to reduce social inequities and improve access to health care.

[Socioeconomic deprivation and premature mortality in Germany, 1998-2021 : An ecological study with what-if scenarios of inequality reduction]. / Sozioökonomische Deprivation und vorzeitige Sterblichkeit in Deutschland 1998­2021 : Eine ökologische Studie mit What-if-Szenarien der Ungleichheitsreduktion.

BACKGROUND: Earlier mortality in socioeconomically disadvantaged population groups represents an extreme manifestation of health inequity. This study examines the extent, time trends, and mitigation potentials of area-level socioeconomic inequalities in premature mortality in Germany. METHODS: Nationwide data from official cause-of-death statistics were linked at the district level with official population data and the German Index of Socioeconomic Deprivation (GISD). Age-standardized mortality rates before the age of 75 were calculated stratified by sex and deprivation quintile. A what-if analysis with counterfactual scenarios was applied to calculate how much lower premature mortality would be overall if socioeconomic mortality inequalities were reduced. RESULTS: Men and women in the highest deprivation quintile had a 43% and 33% higher risk of premature death, respectively, than those in the lowest deprivation quintile of the same age. Higher mortality rates with increasing deprivation were found for cardiovascular and cancer mortality, but also for other causes of death. Socioeconomic mortality inequalities had started to increase before the COVID-19 pandemic and further exacerbated in the first years of the pandemic. If all regions had the same mortality rate as those in the lowest deprivation quintile, premature mortality would be 13% lower overall. DISCUSSION: The widening gap in premature mortality between deprived and affluent regions emphasizes that creating equivalent living conditions across Germany is also an important field of action for reducing health inequity.

Household air pollution and attributable burden of disease in rural China: A literature review and a modelling study.

Household air pollution prevails in rural residences across China, yet a comprehensive nationwide comprehending of pollution levels and the attributable disease burdens remains lacking. This study conducted a systematic review focusing on elucidating the indoor concentrations of prevalent household air pollutants-specifically, PM2.5, PAHs, CO, SO2, and formaldehyde-in rural Chinese households. Subsequently, the premature deaths and economic losses attributable to household air pollution among the rural population of China were quantified through dose-response relationships and the value of statistical life. The findings reveal that rural indoor air pollution levels frequently exceed China's national standards, exhibiting notable spatial disparities. The estimated annual premature mortality attributable to household air pollution in rural China amounts to 966 thousand (95% CI: 714-1226) deaths between 2000 and 2022, representing approximately 22.2% (95% CI: 16.4%-28.1%) of total mortality among rural Chinese residents. Furthermore, the economic toll associated with these premature deaths is estimated at 486 billion CNY (95% CI: 358-616) per annum, constituting 0.92% (95% CI: 0.68%-1.16%) of China's GDP. The findings quantitatively demonstrate the substantial disease burden attributable to household air pollution in rural China, which highlights the pressing imperative for targeted, region-specific interventions to ameliorate this pressing public health concern.

Tendencias en la mortalidad por accidentes de tránsito en motocicleta en Colombia, 2008-2021 / Trends in motorcycle road deaths in Colombia, 2008-2021 / Tendências de mortalidade por acidentes de motocicleta na Colômbia, 2008–2021

[RESUMEN]. Objetivo. Identificar las tendencias de mortalidad por accidentes de tránsito en motocicleta en Colombia entre los años 2008 y 2021. Métodos. Se realizó un estudio observacional y descriptivo de tendencias de la mortalidad por accidentes de tránsito en motocicleta a partir de los registros oficiales de defunciones entre 2008 y 2021. Se efectuó un análisis de regresión Jointpoint Poisson para detectar los puntos de inflexión en las tasas de mortalidad espe- cíficas por edad, sexo y área de residencia. Resultados. Se identificaron 28 200 muertes por accidentes de tránsito en motocicleta en todo el período; fallecieron 24 271 hombres y 3 929 mujeres. El 74,1% de las defunciones ocurrió en el área urbana y el 25,9% en el área rural. En esta área se observó una tendencia creciente en la mortalidad en adultos jóvenes de ambos sexos a lo largo de todo el período. Lo mismo ocurrió en hombres de más de 65 años. En el área urbana, se identificó una tendencia al aumento de la mortalidad en las edades entre 45 a 64 años para ambos sexos durante todo el período. Solo se detectó un punto de inflexión en el año 2015, que mostró una disminución en la tendencia, en mujeres adolescentes. Conclusión. La tendencia en la mortalidad por accidentes de tránsito en motocicleta en Colombia se mantuvo en aumento durante todo el período (2008-2021) tanto en áreas rurales para adultos jóvenes como en áreas urbanas para personas de mediana edad.

[ABSTRACT]. Objective. To identify trends in motorcycle road deaths in Colombia between 2008 and 2021. Methods. An observational and descriptive study of trends in motorcycle road deaths was conducted using official death records from 2008 to 2021. Jointpoint Poisson regression analysis was performed to detect inflection points in mortality rates specific to age, sex, and area of residence. Results. A total of 28 200 motorcycle road deaths were identified during the period; 24 271 men and 3 929 women died. Of the deaths, 74.1% occurred in urban areas and 25.9% in rural areas. In rural areas, there was an increasing trend in fatalities in young adults of both sexes during the period. The same occurred in men over 65 years of age. In urban areas, there was an upward trend in fatalities in the age group from 45-64 for both sexes during the period. Only one inflection point was detected, in 2015, showing a downward trend in adolescent females. Conclusion. The trend in motorcycle road deaths in Colombia continued to rise during the 2008-2021 period, both in rural areas for young adults and in urban areas for middle-aged adults.

[RESUMO]. Objetivo. Identificar tendências de mortalidade por acidentes de motocicleta na Colômbia entre 2008 e 2021. Métodos. Realizou-se um estudo observacional e descritivo das tendências de mortalidade por acidentes de motocicleta com base em registros oficiais de óbitos entre 2008 e 2021. Conduziu-se uma análise baseada na regressão de Poisson (Joinpoint) para detectar pontos de inflexão em taxas de mortalidade específicas por idade, sexo e área de residência. Resultados. Foram identificadas 28 200 mortes por acidentes de motocicleta durante todo o período, corres- pondendo a 24 271 homens e 3 929 mulheres. As mortes ocorreram tanto na área urbana (74,1%) quanto rural (25,9%). Na área rural, observou-se uma tendência crescente na mortalidade de adultos jovens de ambos os sexos ao longo de todo o período. O mesmo ocorreu em relação a homens com mais de 65 anos. Na área urbana, identificou-se uma tendência de aumento da mortalidade na faixa etária de 45 a 64 anos, em ambos os sexos, durante todo o período. Apenas um ponto de inflexão foi detectado em 2015, mostrando uma redução na tendência em adolescentes do sexo feminino. Conclusão. A tendência de mortalidade por acidentes de motocicleta na Colômbia continuou a aumentar durante todo o período (2008 a 2021), tanto na área rural, para jovens adultos, quanto na área urbana, para pessoas de meia-idade.

The burden of premature adult mortality associated with lack of access to electricity in India.

BACKGROUND: The impact of electricity access on all-cause premature mortality is unknown. METHODS: We use a national dataset from India to compare districts with high access to electricity (>90% of households) to districts with middle (50-90%) and low (<50%) access to electricity and estimate the effect of lack of electricity access on all-cause premature mortality. RESULTS: In 2014, out of 597 districts in India, 174 districts had high access, 228 had middle access, and 195 had low access to electricity. When compared to districts with high access, districts with low access had higher rates of age-standardized premature mortality in both women (2.09, 95% CI: 1.43-2.74) and men (0.99, 0.10-1.87). Similarly, these districts had higher rates of conditional probability of premature death in both women (9.16, 6.19-12.13) and men (4.04, 0.77-7.30). Middle access districts had higher rates of age-standardized premature mortality and premature death in women, but not men. The total excess deaths attributable to reduced electricity access were 444,225 (45,195 in middle access districts and 399,030 in low access districts). In low access districts, the proportion of premature adult deaths attributable to low electricity access was 21.3% (14.4%- 28.1%) in women and 7.9% (1.5%- 14.3%) in men. CONCLUSION: Poor access to electricity is associated with nearly half a million premature adult deaths. One out of five premature deaths in adult women were linked to low electricity access making it a major social determinant of health.

Diabetes mellitus as a cause of premature death in small areas of Spain by socioeconomic level from 2016 to 2020: A multiple-cause approach.

OBJECTIVE: This study aimed to assess premature mortality due to Diabetes in small areas of Spain between 2016 and 2020, and its relationship with socioeconomic level and the immediate cause of death. As a secondary objective, we evaluated the effect of the Covid 19 pandemic. METHODS: This was an ecological study of premature mortality due to Diabetes from 2016 to 2020, with a focus on small areas. All deaths in people under 75 years of age due to Diabetes as the underlying cause were included RESULTS: The final sample comprised 7382 premature deaths in 5967 census tracts. Women living in census tracts with an high level of deprivation(RR=2.40) were at a significantly higher risk. Mortality from Diabetes increased with deprivation, especially people aged 0-54(RR=2.40). People with an immediate cause of death related to a circulatory disease, living in census tracts with an high level of deprivation(RR=3.86) was associated with a significantly greater risk of death with underlying Diabetes. When a disease of the circulatory system was recorded as the immediate cause of death, being 65-74 years (RR=71.01) was associated with a significantly higher risk of premature mortality. CONCLUSIONS: Living in geographic areas with higher levels of socioeconomic deprivation is associated with a higher risk of premature death from Diabetes in Spain. This relationship has a greater impact on women, people under 54 years, and people at risk of death caused directly by diseases of the circulatory system. Premature mortality due to diabetes saw a modest increase in 2020.

Severe housing cost burden and premature mortality from cancer.

Unaffordable housing has been associated with poor health. We investigated the relationship between severe housing cost burden and premature cancer mortality (death before 65 years of age) overall and by Medicaid expansion status. County-level severe housing cost burden was measured by the percentage of households that spend 50% or more of their income on housing. States were classified on the basis of Medicaid expansion status (expanded, late-expanded, nonexpanded). Mortality-adjusted rate ratios were estimated by cancer type across severe housing cost burden quintiles. Compared with the lowest quintile of severe housing cost burden, counties in the highest quintile had a 5% greater cancer mortality rate (mortality-adjusted rate ratio = 1.05, 95% confidence interval = 1.01 to 1.08). Within each severe housing cost burden quintile, cancer mortality rates were greater in states that did not expand Medicaid, though this association was significant only in the fourth quintile (mortality-adjusted rate ratio = 1.08, 95% confidence interval = 1.03 to 1.13). Our findings demonstrate that counties with greater severe housing cost burden had higher premature cancer death rates, and rates are potentially greater in non-Medicaid-expanded states than Medicaid-expanded states.

Trends in socioeconomic inequalities in cause-specific premature mortality in Belgium, 1998-2019.

BACKGROUND: Higher levels of socioeconomic deprivation have been consistently associated with increased risk of premature mortality, but a detailed analysis by causes of death is lacking in Belgium. We aim to investigate the association between area deprivation and all-cause and cause-specific premature mortality in Belgium over the period 1998-2019. METHODS: We used the 2001 and 2011 Belgian Indices of Multiple Deprivation to assign statistical sectors, the smallest geographical units in the country, into deprivation deciles. All-cause and cause-specific premature mortality rates, population attributable fraction, and potential years of life lost due to inequality were estimated by period, sex, and deprivation deciles. RESULTS: Men and women living in the most deprived areas were 1.96 and 1.78 times more likely to die prematurely compared to those living in the least deprived areas over the period under study (1998-2019). About 28% of all premature deaths could be attributed to socioeconomic inequality and about 30% of potential years of life lost would be averted if the whole population of Belgium faced the premature mortality rates of the least deprived areas. CONCLUSION: Premature mortality rates have declined over time, but inequality has increased due to a faster pace of decrease in the least deprived areas compared to the most deprived areas. As the causes of death related to poor lifestyle choices contribute the most to the inequality gap, more effective, country-level interventions should be put in place to target segments of the population living in the most deprived areas as they are facing disproportionately high risks of dying.

Food Insecurity and Premature Mortality and Life Expectancy in the US.

Importance: Food insecurity has been linked to multiple causes of disease and premature mortality; however, its association with mortality by sex and across racial and ethnic groups remains unknown in the US. Objective: To investigate the associations of the entire range of food security with all-cause premature mortality and life expectancy across racial and ethnic and sex groups in US adults. Design, Setting, and Participants: This cohort study included adults (aged ≥18 years) who participated in the National Health and Nutrition Examination Survey from 1999 to 2018, with linkage to the National Death Index through December 31, 2019. Data analysis was performed from August to November 2023. Exposures: Levels of food security were assessed with the US Department of Agriculture Adult Food Security Survey Module (full, marginal, low, and very low). Main Outcomes and Measures: All-cause premature mortality (death that occurs before age 80 years) and life expectancy. Results: The study included 57 404 adults (weighted mean [SE] age, 46.0 [0.19] years; 51.8% female; 12 281 Black individuals [21.4%]; 10 421 Mexican individuals [18.2%]; 4627 Other Hispanic individuals [8.1%]; 24 817 White individuals [43.2%]; and 5258 individuals of other races, including multiracial [9.2%]). During a median (IQR) of 9.3 (5.0-14.3) years of follow-up, 4263 premature deaths were documented. Compared with the full food security group, the adjusted hazard ratios were 1.50 (95% CI, 1.31-1.71), 1.44 (95% CI, 1.24-1.68), and 1.81 (95% CI, 1.56-2.10) across marginal, low, and very low food security groups, respectively (P < .001 for trend). The corresponding life expectancy at age 50 years in each group was 32.5 (95% CI, 32.4-32.6), 29.9 (95% CI, 28.9-30.9), 30.0 (95% CI, 28.9-31.0), and 28.0 (95% CI, 26.8-29.2) years. Equivalently, adults with marginal, low, or very low food security lived on average 2.6 (95% CI, 1.5-3.7), 2.5 (95% CI, 1.4-3.7), or 4.5 (95% CI, 3.2-5.8) fewer years at age 50 years, respectively, compared with those with full food security. The associations appeared to be stronger in women than in men (hazard ratios comparing very low food security with full food security, 2.29 [95% CI, 1.83-2.86] in women and 1.46 [95% CI, 1.19-1.78] in men; P = .009 for interaction) and stronger in White adults than in Black adults (hazard ratios comparing very low food security with full food security, 2.07 [95% CI, 1.70-2.53] in White adults and 1.33 [95% CI, 1.01-1.75] in Black adults; P < .001 for interaction) or in Hispanic adults (hazard ratios comparing very low food security with full food security, 1.06 [95% CI, 0.71-1.58]; P < .001 for interaction). Conclusions and Relevance: In this cohort study, although the association of food security and life expectancy varied across sex and racial and ethnic groups, overall, lower levels of food security were associated with a higher risk of premature mortality and a shorter life expectancy. The findings of this study highlight the potential importance of improving food security in promoting population health and health equity.

Towards closing socio-economic status disparities in COVID-19 premature mortality: a nationwide and trend analysis in Chile.

BACKGROUND: Socio-economic status (SES) disparities in coronavirus disease 2019 (COVID-19) mortality have been reported but complete information and time trends are scarce. In this study, we analysed the years of life lost (YLL) due to COVID-19 premature mortality during the pandemic in Chile and its evolution according to SES and sex compared with a counterfactual scenario [cerebrovascular accidents (stroke)]. METHOD: We used Chile's national mortality databases from 2020 to 2022. YLL and age-standardized YLL and mortality rates by sex and by epidemic waves were determined. The 346 communes were stratified into SES groups according to their poverty index quintile. Negative binomial regression models were used to test trends. RESULTS: In >2 years of the pandemic, the COVID-19 YLL was 975 937, corresponding to 61 174 deaths. The YLL rate per 100 000 inhabitants was 1027 for males and 594 for females. There was a heterogeneous distribution of YLL rates and the regional level. Communes in the most advantaged SES quintile (Q5) had the highest YLL during the first wave compared with those in the lowest SES quintile (Q1) (P < 0.001) but the opposite was true during the second wave. COVID-19 YLL trends declined and differences between Q1 and Q2 vs Q5 converged from the second to the fourth waves (0.33 and 0.15, Ptrend < 0.001 and Ptrend = 0.024). YLL declined but differences persisted in stroke (-0.002, Ptrend = 0.979). CONCLUSIONS: COVID-19 deaths resulted in a higher impact on premature death in Chile, especially in men, with a heterogeneous geographic distribution along the territory. SES and sex disparities in COVID-19 premature mortality had narrowed by the end of the pandemic.

Using a systems thinking approach to explore the complex relationships between schizophrenia and premature mortality.

BACKGROUND: People with schizophrenia have a higher risk of mortality compared to the general population, which has not improved over time. The majority of premature deaths are due to comorbid physical diseases, driven by interrelated factors operating at the individual level, through health systems and influenced by social determinants of health. A holistic understanding of this problem and the causal pathways linking these factors together is lacking. AIMS: This study aims to understand why the mortality gap between people with schizophrenia and the general population is not improving by developing a causal loop diagram (CLD), a systems thinking approach which enables empirical research and theoretical knowledge to be combined into a visual representation of causal relationships and feedback loops. METHOD: The CLD was constructed using published literature, including both quantitative and qualitative studies, to identify key variables and relationships, and refined through consultation with experts in the topic area. RESULTS: A total of 21 variables and 68 connections were included in the CLD, with 23 distinct feedback loops identified. Stigma and social support had the most connections, while unemployment was involved in the greatest number of feedback loops. Most feedback mechanisms served to reinforce behavioural risk factors, inadequate healthcare and social disadvantage. CONCLUSIONS: The CLD has created a holistic and dynamic understanding of the causal pathways driving the mortality gap between people with schizophrenia and the general population, providing insights into why it has persisted over time. One of the key findings was the critical role of social determinants in shaping health outcomes, highlighting the need for person-centred models of care and multisectoral government action.

Temporal Trends in Obesity-Related Mortality Rates: An Analysis of Gender, Race/Ethnicity, and Geographic Disparities in the United States.

Obesity is a global public health concern linked to premature death and an increased burden of noncommunicable diseases. This study aims to assess obesity-related mortality rates and temporal trends in the United States. We investigate variations by gender, ethnicity, and state-level demographics using data from the Centers for Disease Control and Prevention WONDER database spanning 1999 to 2021. We identified 124,076 obesity-related deaths, with a mean age-adjusted mortality rate (AAMR) of 2.7 per 100,000 population. AAMRs increased over time, with the highest rises observed in non-Hispanic Black/African American and American Indian/Alaska Native populations, and among males. Certain states showed higher AAMRs. These findings underscore racial disparities in obesity-related mortality and the need for further research to address these disparities.

Estimation of health-related and economic impacts of PM2.5 in Arak, Iran, using BenMAP-CE.

Ambient air quality is one of the most critical threats to human health. In this study, the health and economic benefits of reducing PM2.5 were estimated in the city of Arak during the period of 2017-2019. The concentration data were obtained from the Environmental Protection Organization of Central Province, while the demographic data were obtained from the website of the Iran Statistics Center. The number of premature deaths from all causes, ischemic heart disease, chronic obstructive pulmonary disease, and lung cancer, attributable to PM2.5 pollution was estimated using the Environmental Benefits Mapping and Analysis Program-Comprehensive Version (BenMAP_CE) to limit the guidelines of the World Health Organization. The results showed that improving air quality in 2017, 2018, and 2019 in Arak could prevent the deaths of 729, 654, and 460 people, respectively. The number of years of life lost (YLL) in 2017, 2018, and 2019 was 11383, 10362, and 7260 years, respectively. The total annual economic benefits of reducing the PM2.5 concentration in Arak under the proposed scenarios in 2017, 2018, and 2019 were estimated to be 309,225,507, 262,868,727, and 182,224,053 USD, respectively, using the statistical life method (VSL). Based on the results of this study, there are significant health and economic benefits to reducing PM2.5 concentrations in Arak City. Therefore, planning and adopting control policies to reduce air pollution in this city are necessary.

Computational and experimental assessment of health risks of fine particulate matter in Nanjing and Yangzhou, China.

Fine particulate matter (PM2.5) is a major air pollutant in most cities of China, and poses great health risks to local residents. In this study, the health effects of PM2.5 in Nanjing and Yangzhou were compared using computational and experimental methods. The global exposure mortality model (GEMM), including the results of a cohort study in China, was used to estimate the disease-related risks. Premature mortality attributable to PM2.5 exposure were markedly higher in Nanjing than that in Yangzhou at comparable levels of PM2.5 (8191 95% CI, 6975-9994 vs. 6548 95% CI, 5599-8049 in 2015). However, the baseline mortality rate was on a country-level and the age distribution was on a province-level, traditional estimation method could not accurately represent the health burdens of PM2.5 on a city-level. We proposed a refined calculation method which based on the actual deaths of each city and the disease death rates. Conversely, similar concentrations of PM2.5 exposure resulted in higher actual deaths per million population in Yangzhou (1466 95% CI, 1266-1746) than that in Nanjing (1271 95% CI, 1098-1514). Health risks of PM2.5 are associated with the generation of reactive oxygen species, among which hydroxyl radial (·OH) is the most reactive one. We then collected these PM2.5 samples and quantified the induced ·OH. Consistently, average ·OH concentration in 2015 was higher in Yangzhou than that in Nanjing, again indicating that PM2.5 in Yangzhou was more toxic. The combination of computational and experimental methods demonstrated the complex relationship between health risks and PM2.5 concentrations. The refined estimation method could help us better estimate and interpret the risks caused by PM2.5 exposure on a city-level.

Legislating Inequity: Structural Racism In Groups Of State Laws And Associations With Premature Mortality Rates.

Most evaluations of health equity policy have focused on the effects of individual laws. However, multiple laws' combined effects better reflect the crosscutting nature of structurally racist legal regimes. To measure the combined effects of multiple laws, we used latent class analysis, a method for detecting unobserved "subgroups" in a population, to identify clusters of US states based on thirteen structural racism-related legal domains in 2013. We identified three classes of states: one with predominantly harmful laws ([Formula: see text]), another with predominantly protective laws ([Formula: see text]), and a third with a mix of both ([Formula: see text]). Premature mortality rates overall-defined as deaths before age seventy-five per 100,000 population-were highest in states with predominantly harmful laws, which included eighteen states with past Jim Crow laws. This study offers a new method for measuring structural racism on the basis of how groups of laws are associated with premature mortality rates.

Assessment of variability in PM2.5 and its impact on human health in a West African country.

PM2.5 has become a global challenge threatening human health, climate, and the environment. PM2.5 is ranked as the most common cause of premature mortality and morbidity. Therefore, the current study endeavors to probe the spatiodynamic characteristics of PM2.5 in the Republic of Niger and its impacts on human health from 1998 to 2019. Based on remotely sensed satellite datasets, the study found that the concentration of PM2.5 continued to rise in Niger from 68.85 µg/m3 in 1998 to 70.47 µg/m3 in 2019. During the study period, the annual average PM2.5 concentration is far above the WHO guidelines and the interim target-1 (35 µg/m3). The overall annual growth rate of PM2.5 concentration in Niger is 0.02 µg/m3/year. The health risk (HR) due to PM2.5 exposure is also escalated in Niger, particularly, in Southern Niger. The extent of the extremely high-risk areas corresponding to 1 × 104-9.4 × 105 µg.persons/m3 is increased from 0.9% (2000) to 2.8% (2019). Niamey, southern Dakoro, Mayahi, Tessaoua, Mirriah, Magaria, Matameye, Aguié, Madarounfa, Groumdji, Madaoua, Bouza, Keita, eastern Tahoua, eastern Illéla, Bkomnni, southern Dogon-Doutchi, Gaya, eastern Boboye, central Kollo, and western Tillabéry are experienced high HR due to long-term exposure to PM2.5. These findings indicate that PM2.5 causes a serious health risk across Niger. There is an immediate need to carry out its regional control. Therefore, policymakers and the Nigerien government should make conscious efforts to identify the priority target areas with radically innovative appropriate mitigation interventions.