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Weather and climate patterns play an intrinsic role in societal health, yet a comprehensive synthesis of specific hazard-mortality causes does not currently exist. Country-level health burdens are thus highly uncertain, but harnessing collective expert knowledge can reduce this uncertainty, and help assess diverse mortality causes beyond what is explicitly quantified. Here, surveying 30 experts, we provide the first structured expert judgement of how weather and climate directly impact mortality, using the UK as an example. Current weather-related mortality is dominated by short-term exposure to hot and cold temperatures leading to cardiovascular and respiratory failure. We find additional underappreciated health outcomes, especially related to long-exposure hazards, including heat-related renal disease, cold-related musculoskeletal health, and infectious diseases from compound hazards. We show potential future worsening of cause-specific mortality, including mental health from flooding or heat, and changes in infectious diseases. Ultimately, this work could serve to develop an expert-based understanding of the climate-related health burden in other countries.

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Step cadence-based and machine-learning (ML) methods have been used to classify physical activity (PA) intensity in health-related research. This study examined the association of intensity-specific PA duration with all-cause (ACM) and CVD mortality using the cadence-based and ML methods in 68 561 UK Biobank participants wearing wrist-worn accelerometers. The two-stage-ML method categorized activity type and then intensity. The one-level-cadence-method (1LC) derived intensity-specific duration using all detected steps (including standing utilitarian steps) and cadence thresholds of ≥100 steps/min (moderate intensity) and ≥130 steps/min (vigorous intensity). The two-level-cadence-method (2LC) detected ambulatory steps (i.e., walking and running) and then applied the same cadence thresholds. The 2LC exhibited the most pronounced association at the lower end of duration spectrum. For example, the 2LC showed the smallest minimum moderate-to-vigorous-PA (MVPA) duration (amount associated with 50% of optimal risk reduction) with similar corresponding ACM hazard ratio (HR) to other methods (2LC: 2.8 min/day [95% CI: 2.6, 2.8], HR: 0.83 [95% CI: 0.78, 0.88]; 1LC, 11.1[10.8, 11.4], 0.80 [0.76, 0.85]; ML, 14.9 [14.6, 15.2], 0.82 [0.76, 0.87]). The ML elicited the greatest mortality risk reduction. For example, the medians and corresponding HR in VPA-ACM association: 2LC, 2.0 min/day [95% CI: 2.0, 2.0], HR, 0.69 [95% CI: 0.61, 0.79]; 1LC, 6.9 [6.9, 7.0], 0.68 [0.60, 0.77]; ML, 3.2 [3.2, 3.2], 0.53 [0.44, 0.64]. After standardizing durations, the ML exhibited the most pronounced associations. For example, the standardized minimum durations in MPA-CVD mortality association were: 2LC, -0.77; 1LC, -0.85; ML, -0.94; with corresponding HR of 0.82 [0.72, 0.92], 0.79 [0.69, 0.90], and 0.77 [0.69, 0.85], respectively. The 2LC exhibited the most pronounced association with all-cause and CVD mortality at the lower end of the duration spectrum. The ML method provided the most pronounced association with all-cause and CVD mortality, thus might be appropriate for estimating health benefits of moderate and vigorous intensity PA in observational studies.

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BACKGROUND: Psychological resilience refers to an individual's ability to cope with and adapt to challenging life circumstances and events. OBJECTIVE: This study aims to explore the association between psychological resilience and all-cause mortality in a national cohort of US older adults by a cross-sectional study. METHODS: The Health and Retirement Study (2006-2008) included 10 569 participants aged ≥50. Mortality outcomes were determined using records up to May 2021. Multivariable Cox proportional hazards models were used to analyse the associations between psychological resilience and all-cause mortality. Restricted cubic splines were applied to examine the association between psychological resilience and mortality risk. FINDINGS: During the follow-up period, 3489 all-cause deaths were recorded. The analysis revealed an almost linear association between psychological resilience and mortality risk. Higher levels of psychological resilience were associated with a reduced risk of all-cause mortality in models adjusting for attained age, sex, race and body mass index (HR=0.750 per 1 SD increase in psychological resilience; 95% CI 0.726, 0.775). This association remained statistically significant after further adjustment for self-reported diabetes, heart disease, stroke, cancer and hypertension (HR=0.786; 95% CI 0.760, 0.813). The relationship persisted even after accounting for smoking and other health-related behaviours (HR=0.813; 95% CI 0.802, 0.860). CONCLUSIONS: This cohort study highlights the association between psychological resilience and all-cause mortality in older adults in the USA. CLINICAL IMPLICATIONS: Psychological resilience emerges as a protective factor against mortality, emphasising its importance in maintaining health and well-being.

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Future climate change may bring local benefits or penalties to surface air pollution, resulting from changing temperature, precipitation, and transport patterns, as well as changes in climate-sensitive natural precursor emissions. Here, we estimate the climate penalties and benefits at the end of this century with regard to surface ozone and fine particulate matter (PM[Formula: see text]; excluding dust and smoke) using a one-way offline coupling between a general circulation model and a global 3-D chemical-transport model. We archive meteorology for the present day (2005 to 2014) and end of this century (2090 to 2099) for seven future scenarios developed for Phase 6 of the Coupled Model Intercomparison Project. The model isolates the impact of forecasted anthropogenic precursor emission changes versus that of climate-only driven changes on surface ozone and PM[Formula: see text] for scenarios ranging from extreme mitigation to extreme warming. We then relate these changes to impacts on human mortality and crop production. We find ozone penalties over nearly all land areas with increasing warming. We find net benefits due to climate-driven changes in PM[Formula: see text] in the Northern Extratropics, but net penalties in the Tropics and Southern Hemisphere, where most population growth is forecast for the coming century.

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BACKGROUND: Human reproductive dynamics in the post-industrial world are typically explained by economic, technological, and social factors including the prevalence of contraception and increasing numbers of women in higher education and the workforce. These factors have been targeted by multiple world governments as part of family policies, yet those policies have had limited success. The current work adopts a life history perspective from evolutionary biology: like most species, human populations may respond to safer environments marked by lower morbidity and mortality by slowing their reproduction and reducing their number of offspring. We test this association on three levels of analysis using global, local, and individual data from publicly available databases. RESULTS: Data from over 200 world nations, 3,000 U.S. counties and 2,800 individuals confirm an association between human reproductive outcomes and local mortality risk. Lower local mortality risk predicts "slower" reproduction in humans (lower adolescent fertility, lower total fertility rates, later age of childbearing) on all levels of analyses, even while controlling for socioeconomic variables (female employment, education, contraception). CONCLUSIONS: The association between extrinsic mortality risk and reproductive outcomes, suggested by life history theory and previously supported by both animal and human data, is now supported by novel evidence in humans. Social and health policies governing human reproduction, whether they seek to boost or constrain fertility, may benefit from incorporating a focus on mortality risk.

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BACKGROUND: Primary liver cancer is the third leading cause of cancer deaths worldwide and has one of the worst 5-year survival rates. This study examines US primary liver cancer incidence and incidence-based mortality trends over four decades. RESEARCH DESIGN AND METHODS: The SEER-9 registry was used to study primary liver cancer cases from 1978 to 2018. The incidence and mortality rates were calculated based on gender, age, race, and stage of diagnosis. Joinpoint regression software was used to calculate the annual percent change. RESULTS: The overall incidence rate of primary liver cancer from 1978 to 2018 increased by 2.71%/year (p<0.001). Rates in patients <50 years old began to fall in 2002 at a rate of -3.62%/year (p<0.001). Similarly, the incidence-based mortality rates for primary liver cancer increased by 2.15%/year (p<0.001). Whereas Whites incidence-based mortality rates began to plateau in 2012 (0.18%/year; p = 0.84), Blacks rates have declined since 2010 (-2.93%/year; p = 0.03), and Asian rates have declined since 1999 (-1.30%/year; p<0.001). CONCLUSION: While the overall primary liver cancer incidence and incidence-based mortality have been increasing over the last four decades, there was an observed decline in incidence and incidence-based mortality in recent years, especially among at-risk subgroups.

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Objectives: No study has reported secular trends in dementia prevalence, all-cause mortality, and survival status in rural China. Methods: We established two cohorts (XRRCC1 and XRRCC2) in the same region of China, 17 years apart, to compare dementia prevalence, all-cause mortality, and survival status, and performed regression analysis to identify associated factors. Results: Dementia prevalence was 3.49% in XRRCC1 and 4.25% in XRRCC2, with XRRCC2 showing a significantly higher prevalence (OR = 1.79, 95%CI: 1.2-2.65). All-cause mortality rates for dementia patients were 62.0% in XRRCC1 and 35.7% in XRRCC2. Mortality in the normal population of XRRCC2 decreased by 66% compared to XRRCC1, mainly due to improved survival rates in women with dementia. Dementia prevalence was positively associated with age >65, spouse-absent status, and stroke, and negatively associated with ≥6 years of education. Conclusion: Dementia prevalence in rural China increased over 17 years, while mortality decreased. Major risk factors include aging, no spouse, and stroke, with higher education offering some protection.

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BACKGROUND: Chronic kidney disease (CKD) is an important public health problem worldwide; therefore, forecasting CKD mortality rates and death numbers globally is vital for planning CKD prevention programs. This study aimed to characterize the temporal trends in CKD mortality at the international level from 1990 to 2019 and predict CKD mortality rates and numbers until 2030. METHODS: Data were obtained from the Global Burden of Disease 2019 Study. A joinpoint regression model was used to estimate the average annual percentage change in CKD mortality rates and numbers. Finally, we used a generalized additive model to predict CKD mortality through 2030. RESULTS: The number of CKD-related deaths worldwide increased from 591.80 thousand in 1990 to 1425.67 thousand in 2019. The CKD age-adjusted mortality rate increased from 15.95 per 100,000 people to 18.35 per 100,000 people during the same period. Between 2020 and 2030, the number of CKD deaths is forecasted to increase further to 1812.85 thousand by 2030. The CKD age-adjusted mortality rate is expected to decrease slightly to 17.76 per 100,000 people (95% credible interval (CrI): 13.84 to 21.68). Globally, it is predicted that in the next decade, the CKD mortality rate will decrease in men, women, all subgroups of disease etiology except glomerulonephritis, people younger than 40 years old, and all groupings of countries based on the sociodemographic index (SDI) except high-middle-SDI countries. CONCLUSIONS: The CKD mortality rate is predicted to decrease in the next decade. However, more attention should be given to people with glomerulonephritis, people over 40 years old, and people in high- to middle-income countries because the mortality rate due to CKD in these subgroups is expected to increase until 2030.

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This study challenges historical paradigms using a large-scale integrated bioarchaeological approach, focusing on the female experience over the last 2,000 years in Milan, Italy. Specifically, 492 skeletons from the osteological collection of Milan were used to elucidate female survivorship and mortality by integrating bioarchaeological and paleopathological data, paleoepidemiological analyses, and historical contextualization. Findings revealed changes in female longevity, with a notable increase from Roman to contemporary eras, albeit plateauing in the Middle Ages/modern period. Significant sex-specific differences in mortality risk and survivorship were observed: females had higher mortality risk and lower survivorship in the Roman (first-fifth century AD) and Modern (16th-18th century AD) eras, but this trend reversed in the contemporary period (19th-20th century AD). Cultural and social factors negatively impacted female mortality in Roman and modern Milan, while others buffered it during the Middle Ages (sixth-15th century AD). This study underscored the importance of bioarchaeological inquiries in reconstructing the past, providing answers that may challenge historical assumptions and shedding light on how the interplay of cultural, social, and biological factors shaped the female experience across millennia.

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BACKGROUND: Evaluating outcome reliability is critical in real-world evidence studies. Overall survival is a common outcome in these studies; however, its capture in real-world data (RWD) sources is often incomplete and supplemented with linked mortality information from external sources. Conflicting recommendations exist for censoring overall survival in real-world evidence studies. This simulation study aimed to understand the impact of different censoring methods on estimating median survival and log hazard ratios when external mortality information is partially captured. METHODS: We used Monte Carlo simulation to emulate a non-randomized comparative effectiveness study of two treatments with RWD from electronic health records and linked external mortality data. We simulated the time to death, the time to last database activity, and the time to data cutoff. Death events after the last database activity were attributed to linked external mortality data and randomly set to missing to reflect the sensitivity of contemporary real-world data sources. Two censoring schemes were evaluated: (1) censoring at the last activity date and (2) censoring at the end of data availability (data cutoff) without an observed death. We assessed the performance of each method in estimating median survival and log hazard ratios using bias, coverage, variance, and rejection rate under varying amounts of incomplete mortality information and varying treatment effects, length of follow-up, and sample size. RESULTS: When mortality information was fully captured, median survival estimates were unbiased when censoring at data cutoff and underestimated when censoring at the last activity. When linked mortality information was missing, censoring at the last activity date underestimated the median survival, while censoring at the data cutoff overestimated it. As missing linked mortality information increased, bias decreased when censoring at the last activity date and increased when censoring at data cutoff. CONCLUSIONS: Researchers should consider the completeness of linked external mortality information when choosing how to censor the analysis of overall survival using RWD. Substantial bias in median survival estimates can occur if an inappropriate censoring scheme is selected. We advocate for RWD providers to perform validation studies of their mortality data and publish their findings to inform methodological decisions better.

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OBJECTIVES: Flavonoids exhibit antioxidative, anti-inflammatory, and anticancer properties, yet the relationship between flavonoid intake and all-cause mortality in the obese population remains unclear. METHODS: This study included NHANES participants from 2007 to 2010 and 2017 to 2018. Cox regression analysis evaluated the impact of total flavonoid intake on all-cause mortality among participants with varying comorbidity profiles. Subgroup analysis was conducted by separately analyzing the six sub-classes of total flavonoids (anthocyanidins, flavan-3-ols, flavanones, flavones, flavonols, and isoflavones). Sensitivity analysis was used to investigate the impact of total flavonoid intake on all-cause mortality among patients with different comorbidities. RESULTS: During a median follow-up period of 9.92 years (interquartile range (IQR), 5.54-14.29 years), a total of 639 participants died. COX regression analysis revealed a positive impact of flavonoid intake on all-cause mortality among participants with chronic kidney disease, with greater benefits observed in obese participants [hazard ratio (HR): 0.22, 95% CI: 0.11-0.44). In metabolically healthy obese participants (HR: 0.15, 95% CI: 0.07-0.35), obese individuals with diabetes (HR: 0.51, 95% CI: 0.29-0.88), and obese individuals with comorbid cardiovascular disease (HR: 0.37, 95% CI: 0.17-0.83), flavonoid intake was associated with a reduced risk of all-cause mortality. Restricted cubic spline (RCS) analysis indicated a non-linear relationship in obese participants, with optimal intake levels ranging from 319.4978 to 448.6907 mg/day, varying based on different comorbidity profiles. Subgroup analysis revealed varying effects of total flavonoid components in different health conditions, with hazard ratios ranging from 0.06 for higher levels of flavonol to 0.59 for higher levels of anthocyanidins in the Cox model. Sensitivity analyses further indicated that individuals with obesity and comorbid diabetes or CKD see the greatest benefit from flavonoid intake. CONCLUSIONS: The consumption of flavonoids may be associated with a decreased risk of all-cause mortality. Consumption of flavonoids is particularly beneficial for individuals with obesity and comorbidities.

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Introduction: Data on the increase in mortality during the COVID-19 pandemic based on individuals' socioeconomic positions are limited. This study examines this increase in mortality in Spain during the epidemic waves of 2020 and 2021. Methods: We calculated the overall and cause-specific mortality rates during the 2017-2019 pre-pandemic period and four epidemic periods in 2020 and 2021 (first, second, third-fourth, and fifth-sixth waves). Mortality rates were analyzed based on educational levels (low, medium, and high) and across various age groups (25-64, 65-74, and 75+). The increase in mortality during each epidemic period compared to the pre-pandemic period was estimated using mortality rate ratios (MRR) derived from Poisson regression models. Results: An inverse educational gradient in overall mortality was observed across all periods; however, this pattern was not consistent for COVID-19 mortality in some age groups. Among those aged 75 years and older, highly educated individuals showed higher COVID-19 mortality during the first wave. In the 25-64 age group, individuals with low education experienced the highest overall mortality increase, while those with high education had the lowest increase. The MRRs were 1.21 and 1.06 during the first wave and 1.12 and 0.97 during the last epidemic period. In the 65-74 age group, highly educated individuals showed the highest overall mortality increase during the first wave, whereas medium-educated individuals had the highest increase during the subsequent epidemic periods. Among those aged 75 and older, highly educated individuals exhibited the highest overall mortality increase while the individuals with low education showed the lowest overall mortality increment, except during the last epidemic period. Conclusion: The varying educational patterns of COVID-19 mortality across different age groups contributed to the disparities of findings in increased overall mortality by education levels during the COVID-19 pandemic.

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BACKGROUND: Little is known about post-hospital health care resource use (HRU) of patients admitted for severe COVID-19, specifically for the care of patients with postacute COVID-19 syndrome (PACS). OBJECTIVE: A list of HRU domains and items potentially related to PACS was defined, and potential PACS-related HRU (PPRH) was compared between the pre- and post-COVID-19 periods, to identify new outpatient care likely related to PACS. METHODS: A retrospective cohort study was conducted with the French National Health System claims data (SNDS). All patients hospitalized for COVID-19 between February 1, 2020, and June 30, 2020 were described and investigated for 6 months, using discharge date as index date. Patients who died during index stay or within 30 days after discharge were excluded. PPRH was assessed over the 5 months from day 31 after index date to end of follow-up, that is, for the post-COVID-19 period. For each patient, a pre-COVID-19 period was defined that covered the same calendar time in 2019, and pre-COVID-19 PPRH was assessed. Post- or pre- ratios (PP ratios) of the percentage of users were computed with their 95% CIs, and PP ratios>1.2 were considered as "major HRU change." RESULTS: The final study population included 68,822 patients (median age 64.8 years, 47% women, median follow-up duration 179.3 days). Altogether, 23% of the patients admitted due to severe COVID-19 died during the hospital stay or within the 6 months following discharge. A total of 8 HRU domains were selected to study PPRH: medical visits, technical procedures, dispensed medications, biological analyses, oxygen therapy, rehabilitation, rehospitalizations, and nurse visits. PPRs showed novel outpatient care in all domains and in most items, without specificity, with the highest ratios observed for the care of thoracic conditions. CONCLUSIONS: Patients hospitalized for severe COVID-19 during the initial pandemic wave had high morbi-mortality. The analysis of HRU domains and items most likely to be related to PACS showed that new care was commonly initiated after discharge but with no specificity, potentially suggesting that any impact of PACS was part of the overall high HRU of this population after hospital discharge. These purely descriptive results need to be completed with methods for controlling for confusion bias through subgroup analyses. TRIAL REGISTRATION: ClinicalTrials.gov NCT05073328; https://clinicaltrials.gov/ct2/show/NCT05073328.

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BACKGROUND: The association between ambient temperature and mortality has yielded inconclusive results with previous studies relying on in-patient data to assess the health effects of temperature. Therefore, we aimed to estimate the effect of ambient temperature on non-accidental mortality among elderly hypertensive patients through a prospective cohort study conducted in northeastern China. METHODS: A total of 9634 elderly hypertensive patients from the Kailuan research who participated in the baseline survey and follow-up from January 1, 2006 to December 31, 2017, were included in the study. We employed a Poisson generalized linear regression model to estimate the effects of monthly ambient temperature and temperature variations on non-accidental mortality. RESULTS: After adjusting for meteorological parameters, the monthly mean temperature (RR = 0.989, 95% CI: 0.984-0.993, p < 0.001), minimum temperature (RR = 0.987, 95% CI: 0.983-0.992, p < 0.001) and maximum temperature (RR = 0.989, 95% CI: 0.985-0.994, p < 0.001) exhibited a negative association with an increased risk of non-accidental mortality. The presence of higher monthly temperature variation was significantly associated with an elevated risk of mortality (RR = 1.097, 95% CI:1.051-1.146, p < 0.001). Further stratified analysis revealed that these associations were more pronounced during colder months as well as among male and older individuals. CONCLUSIONS: Decreased temperature and greater variations in ambient temperature were observed to be linked with non-accidental mortality among elderly hypertensive patients, particularly notable within aging populations and males. These understanding regarding the effects of ambient temperature on mortality holds clinical significance for appropriate treatment strategies targeting these individuals while also serving as an indicator for heightened risk of death.

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OBJECTIVE: Air pollution is a global public health issue, with particulate matter (PM) being the pollutant with the greatest impact on health. The main objective of this article was to estimate the impact of mortality attributable to particulate pollution in the city of Valencia during the period 2015-2017. METHODS: The Health Impact Assessment (HIA) methodology from the Aphekom project was used. Scenarios of a 5 µg/m3 reduction in the annual mean concentration of PM10 and PM2.5 were employed, along with the assumption of meeting the World Health Organization (WHO) recommendations in effect during the study period, to estimate both short- and long-term impacts. RESULTS: The estimated average concentrations for 2015-2017 were 18.4 µg/m3 for PM10 and 12.3 µg/m3 for PM2.5. The short-term HIA, assuming a reduction of 5 µg/m3 in the averages, resulted in a total of 65.4 premature deaths that could be postponed during that period (21.8 annually), corresponding to a rate of 2.8 deaths per 100,000 inhabitants. In the long term, if PM2.5 concentrations had been reduced by 5 µg/m3, 124 premature deaths could have been postponed annually. CONCLUSIONS: The annual average concentrations of these pollutants meet the limits set by European regulations. However, compared to WHO recommendations, PM2.5 levels are higher by 2.3 µg/m3. An air quality scenario in line with WHO recommendations would have resulted in a reduction of 122 premature deaths annually.

OBJETIVO: La contaminación del aire es un problema de Salud Pública de importancia global, siendo las partículas en suspensión (PM) el contaminante con mayor impacto en la salud. El objetivo principal de este artículo fue estimar el impacto en mortalidad atribuible a la contaminación por partículas en la ciudad de València en el periodo 2015-2017. METODOS: Se utilizó la metodología para la Evaluación del Impacto en Salud (EIS) del proyecto Aphekom. Se realizó un estudio descriptivo y para la correlación se emplearon los escenarios de reducción de la media anual de 5 µg/m3 en la concentración de PM10 y de PM2,5 y el supuesto de cumplir las recomendaciones de la Organización Mundial de la Salud (OMS) vigentes en el periodo a estudio para estimar el impacto a corto y largo plazo. RESULTADOS: Las concentraciones estimadas del promedio 2015-2017 para PM10 y PM2,5 fueron de 18,4 µg/m3 y 12,3 µg/m3, respectivamente. La EIS a corto plazo, en el supuesto de reducir en 5 µg/m3 las medias, tuvo como resultado un total de 65,4 muertes prematuras que se podrían posponer en ese periodo (21,8 anuales), correspondiendo con una tasa de 2,8 defunciones por cada 100.000 habitantes. A largo plazo, si se hubiesen reducido las concentraciones de PM2,5 en 5 µg/m3, se hubieran podido posponer 124 muertes prematuras anuales. CONCLUSIONES: Las concentraciones medias anuales de estos contaminantes se ajustan a los límites marcados por la normativa europea. Sin embargo, respecto a las recomendaciones de la OMS, los niveles de PM2,5 son superiores en 2,3 µg/m3. Un escenario de calidad del aire conforme a las recomendaciones de la OMS se hubiera traducido en una reducción de 122 defunciones prematuras anuales.

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INTRODUCTION: Cardiovascular disease (CVD) is a major health concern worldwide, particularly in low- and middle-income countries. The COVID-19 pandemic that emerged in late 2019 may have had an impact on the trend of CVD mortality. This study aimed to investigate the trend and changes in CVD mortality rates in Malaysia, using age-standardized mortality rates (ASMR) from 2010 to 2021. METHODS: The Malaysian population and mortality data from 2010 to 2021 were obtained from the Department of Statistics Malaysia (DOSM). ASMRs from CVD per 100,000 population were calculated based on the World Health Organization (2000-2025) standard population using the direct method. The ASMRs were computed based on sex, age groups (including premature mortality age, 30-69 years), and CVD types. The annual percent change (APC) and average annual percent change (AAPC) of the ASMR with corresponding 95% confidence intervals (95% CI) were estimated from joinpoint regression model using the Joinpoint Regression Program, Version 4.9.1.0. RESULTS: Throughout the study period (2010-2021), ASMRs for CVD exhibited an increase from 93.1 to 147.0 per 100,000, with an AAPC of 3.6% (95% CI: 2.1 to 5.2). The substantial increase was observed between 2015 and 2018 (APC 12.6%, 95% CI: 5.4%, 20.3%), with significant changes in both sexes, and age groups 50-69, 70 years and over, and 30-69 (premature mortality age). Notably, the ASMR trend remained consistently high in the premature mortality age group across other age groups, with males experiencing higher rates than females. No significant changes were detected before or after the COVID-19 pandemic (between 2019 and 2021), except for females who died from IHD (10.3% increase) and those aged 0-4 (25.2% decrease). CONCLUSION: Overall, our analysis highlights the persistently high burden of CVD mortality in Malaysia, particularly among the premature mortality age group. These findings underscore the importance of continued efforts to address CVD risk factors and implement effective prevention and management strategies. Further research is needed to fully understand the impact of the COVID-19 pandemic on CVD mortality rates and to inform targeted interventions to reduce the burden of CVD in Malaysia.

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Importance: The widowhood effect, in which mortality increases and function decreases in the period following spousal death, may be heightened in older adults with functional impairment and serious illnesses, such as cancer, dementia, or organ failure, who are highly reliant on others, particularly spouses, for support. Yet there are limited data on widowhood among people with these conditions. Objective: To determine the association of widowhood with function and mortality among older adults with dementia, cancer, or organ failure. Design, Setting, and Participants: This longitudinal cohort study used population-based, nationally representative data from the Health and Retirement Study database linked to Medicare claims from 2008 to 2018. Participants were married or partnered community-dwelling adults aged 65 years and older with and without cancer, organ failure, or dementia and functional impairment (function score <9 of 11 points), matched on widowhood event and with follow-up until death or disenrollment. Analyses were conducted from September 2021 to May 2024. Exposure: Widowhood. Main Outcomes and Measures: Function score (range 0-11 points; 1 point for independence with each activity of daily living [ADL] or instrumental activity of daily living [IADL]; higher score indicates better function) and 1-year mortality. Results: Among 13 824 participants (mean [SD] age, 70.1 [5.5] years; 6416 [46.4%] female; mean [SD] baseline function score, 10.2 [1.6] points; 1-year mortality: 0.4%) included, 5732 experienced widowhood. There were 319 matched pairs of people with dementia, 1738 matched pairs without dementia, 95 matched pairs with cancer, 2637 matched pairs without cancer, 85 matched pairs with organ failure, and 2705 matched pairs without organ failure. Compared with participants without these illnesses, widowhood was associated with a decline in function immediately following widowhood for people with cancer (change, -1.17 [95% CI, -2.10 to -0.23] points) or dementia (change, -1.00 [95% CI, -1.52 to -0.48] points) but not organ failure (change, -0.84 [95% CI, -1.69 to 0.00] points). Widowhood was also associated with increased 1-year mortality among people with cancer (hazard ratio [HR], 1.08 [95% CI, 1.04 to 1.13]) or dementia (HR, 1.14 [95% CI, 1.02 to 1.27]) but not organ failure (HR, 1.02 [95% CI, 0.98 to 1.06]). Conclusions and Relevance: This cohort study found that widowhood was associated with increased functional decline and increased mortality in older adults with functional impairment and dementia or cancer. These findings suggest that persons with these conditions with high caregiver burden may experience a greater widowhood effect.

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OBJECTIVES: Understanding the burden of disease of sepsis is essential for monitoring the effectiveness of international strategies to improve sepsis care. Our objective was to describe the multinational trend of sepsis-related mortality for the period 1985-2019 from the WHO Mortality Database. DESIGN: Retrospective analysis of the WHO Mortality Database. SETTING: We included data from all countries defined by the WHO as having 'high usability data' and at least 10 years of total available data. PARTICIPANTS: From the WHO list of 50 countries with high usability data, 14 (28%) were excluded due to excessive missingness. We included and analysed data separately for male and female. PRIMARY AND SECONDARY OUTCOME MEASURES: We analysed age-standardised mortality rates (ASMR) (weighted average of the age-specific mortality rates per 100 000 people, where the weights are the proportions of people in the corresponding age groups of the WHO standard population). RESULTS: We included 1104 country-years worth of data from 36 countries with high usability data, accounting for around 15% of the world's population. The median ASMR for men decreased from 37.8 deaths/100 000 (IQR 28.4-46.7) in 1985-1987 to 25.8 deaths/100 000 (IQR 19.2-37) in 2017-2019, an approximately 12% absolute (31.8% relative) decrease. For women, the overall ASMR decreased from 22.9 deaths/100 000 (IQR 17.7-32.2) to 16.2 deaths/100 000 (IQR 12.6-21.6), an approximately 6.7% absolute decrease (29.3% relative decrease). The analysis of country-level data revealed wide variations in estimates and trends. CONCLUSIONS: We observed a decrease in reported sepsis-related mortality across the majority of analysed nations between 1985 and 2019. However, significant variability remains between gender and health systems. System-level and population-level factors may contribute to these differences, and additional investigations are necessary to further explain these trends.

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