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3.
Sci Rep ; 14(1): 12740, 2024 Jun 03.
Article in English | MEDLINE | ID: mdl-38830945

ABSTRACT

Testicular cancer (TCa) is a rare but impactful malignancy that primarily affects young men. Understanding the mortality rate of TCa is crucial for improving prevention and treatment strategies to reduce the risk of death among patients. We obtained TCa mortality data by place (5 countries), age (20-79 years), and year (1990-2019) from the Global Burden of Disease Study 2019. Age-period-cohort model was used to estimate the net drift, local drift, age effects, period and cohort effects. In 2019, the global mortality of TCa increased to 10842 (95% UI 9961, 11902), with an increase of 50.08% compared to 1990.The all-age mortality rate for TCa in 2019 increased from 0.17/100,000 (95% UI 0.13, 0.20) in China to 0.48/100,000 (95% UI 0.38, 0.59) in Russian Federation, whereas the age-standardized mortality rate in 2019 was highest in the South Africa 0.47/100,000 (95% UI 0.42, 0.53) and lowest in the China 0.16/100,000 (95% UI 0.13, 0.19). China's aging population shifts mortality patterns towards the elderly, while in Russian Federation, young individuals are primarily affected by the distribution of deaths. To address divergent TCa mortality advancements in BRICS countries, we propose a contextually adaptive and resource-conscious approach to prioritize TCa prevention. Tailoring strategies to contextual diversity, including policy frameworks, human resources, and financial capacities, will enhance targeted interventions and effectiveness in reducing TCa mortality.


Subject(s)
Testicular Neoplasms , Humans , Male , Middle Aged , Testicular Neoplasms/mortality , Testicular Neoplasms/epidemiology , Adult , Aged , Young Adult , Russia/epidemiology , China/epidemiology , Cohort Studies , Global Burden of Disease/trends , Mortality/trends , South Africa/epidemiology , Age Factors
4.
Rev Prat ; 74(5): 481-484, 2024 May.
Article in French | MEDLINE | ID: mdl-38833222

ABSTRACT

POLLUTION ATTRIBUTABLE MORTALITY. Pollution is estimated to be responsible for 9 million premature deaths per year in the world. For each cause of death with a risk increased by a pollutant, the number of deaths attributable to it is computed by comparison with the number of deaths expected under a reference pollution level, which is 10 µg/m3 for ambient particulate matter pollution. Only 8% of the deaths attributable to pollution occur in high income countries, because of the large effects of water and indoor air pollution (caused by traditional cooking methods) in low and middle-income countries. In France, by this method, one estimates that 13.200 deaths a year are attributable to ambient particulate matter pollution and 1.100 to ozone. Santé publique France, which has concluded that 48.000 deaths a year were attributable to air pollution in France, overvalues the risk by a factor of nearly 4 by overestimating the risks associated with air pollution and taking a utopian reference scenario.


MORTALITÉ ATTRIBUABLE À LA POLLUTION. On estime que la pollution est responsable de 9 millions de décès prématurés par an dans le monde. Pour chaque cause de décès dont le risque est augmenté par la pollution, un nombre de décès attribuable à la pollution est calculé par comparaison avec le nombre attendu pour un niveau de pollution de référence qui est de 10 µg/m3 pour la pollution particulaire de l'air extérieur. Seulement 8 % des décès attribuables à la pollution surviennent dans les pays à revenu élevé (effets importants des pollutions de l'eau et de l'air intérieur par des modes de cuisson traditionnels dans les pays à revenus bas ou moyens). En France, par cette méthode, on estime que 13 200 décès par an sont liés à la pollution particulaire de l'air extérieur et 1 100 à l'ozone. Santé publique France, qui conclut que 48 000 décès par an sont attribuables à la pollution de l'air en France, surévalue donc le risque d'un facteur proche de 4 en surestimant l'effet de la pollution et en prenant une pollution de référence utopique.


Subject(s)
Air Pollution , Humans , Air Pollution/adverse effects , Air Pollution/analysis , France/epidemiology , Particulate Matter/analysis , Particulate Matter/adverse effects , Mortality/trends , Cause of Death , Air Pollutants/adverse effects , Air Pollutants/analysis
5.
Washington, D.C.; OPAS; 2024-05-29. (OPAS/NMH/RF/21-0031).
Non-conventional in Portuguese | PAHO-IRIS | ID: phr-60082

ABSTRACT

O consumo de ácidos graxos trans é uma das principais causas de morbidade e mortalidade em todo o mundo. Os ácidos graxos trans não têm benefícios conhecidos para a saúde e são uma das principais causas de doenças cardíacas em todo o mundo. Estima-se que os ácidos graxos trans causem cerca de 260.000 mortes a cada ano. Para reduzir efetivamente o consumo de ácidos graxos trans, a Organização Pan-Americana da Saúde/Organização Mundial da Saúde recomenda que todos os países eliminem os ácidos graxos trans produzidos industrialmente (IP-TFA) de seu abastecimento alimentar nacional, que constituem a principal fonte de ácidos graxos trans em Nutrição humana. Esta publicação foi elaborada para auxiliar agências governamentais e ministérios no desenvolvimento ou alteração de legislação ou regulamentação nacional com o objetivo de eliminar o IP-TFA do abastecimento de alimentos em seu país. Embora útil para leitores com formação jurídica, esta publicação também se destina a um público não jurídico que deseja promover a eliminação do AGT-IP por meio de regulamentação. As perguntas da árvore de decisão são usadas para ajudar os usuários desta ferramenta a preencher um regulamento de remoção de TFA-IP específico do contexto que seja consistente com as melhores práticas da OPAS/OMS. Abrange disposições importantes que devem ser consideradas no texto do regulamento, como as que dão autoridade legal para adotar um regulamento sobre ácidos graxos trans, a definição do escopo do regulamento, a criação de um quadro de fiscalização e o cumprimento de o regulamento. , e o estabelecimento de uma data de vigência. Esta publicação inclui um modelo de regulamento e oferece uma visão prática dos principais aspectos legais da remoção do AGT-IP, com foco em abordagens comprovadas, eficazes e baseadas em evidências. Ele orienta os leitores sobre como redigir regulamentos para implementar as políticas de remoção de TFA-IP recomendadas pela OPAS/OMS, bem como disposições complementares que se mostraram eficazes.


Subject(s)
Fatty Acids , Heart Disease Risk Factors , Mortality , Food Supply , Diet, Food, and Nutrition
6.
Rev Med Suisse ; 20(872): 886-891, 2024 May 01.
Article in French | MEDLINE | ID: mdl-38693802

ABSTRACT

Measuring the health impact of an epidemic using appropriate indicators is necessarily complex. Mortality does not sum up all the issues, but at least it seems to be an objective indicator. There are, however, a number of different mortality indicators, which do not all convey the same message. During the Covid-19 epidemic in Switzerland, the mortality rate rose by 10.2% in 2020, while life expectancy fell by "only" 0.8%, or 8.3 months, a decline described as "modest" or "complete freefall" depending on when it was published. In reality, the population living in Switzerland in 2020 lost an average of "only" 2.4 days, as the epidemic did not last their entire lives. The use of such an indicator, in comparison with losses due to other factors, would enable us to better estimate the real impact of an epidemic.


Mesurer l'impact sanitaire d'une épidémie à l'aide d'indicateurs appropriés est forcément complexe. La mortalité ne résume pas tous les enjeux mais semble au moins être un indicateur objectif. Il existe cependant différents indicateurs de mortalité ne donnant pas tous le même message. Lors de l'épidémie de Covid-19 en Suisse, le taux de mortalité a augmenté de 10,2 % en 2020, alors que l'espérance de vie n'a diminué « que ¼ de 0,8 %, ou 8,3 mois, recul par ailleurs qualifié de « modeste ¼ ou de « chute libre ¼ selon quand il a été publié. En réalité, la population vivant en Suisse en 2020 n'a perdu en moyenne « que ¼ 2,4 jours car l'épidémie n'a pas duré toute sa vie. L'utilisation d'un tel indicateur, en comparaison avec les pertes dues à d'autres facteurs, permettrait une meilleure estimation de l'impact réel d'une épidémie.


Subject(s)
COVID-19 , Life Expectancy , COVID-19/epidemiology , COVID-19/mortality , Switzerland/epidemiology , Humans , Life Expectancy/trends , Mortality/trends , Epidemics
8.
Lancet Public Health ; 9(5): e306-e315, 2024 May.
Article in English | MEDLINE | ID: mdl-38702095

ABSTRACT

BACKGROUND: Globally, 1·3 billion people have a disability and are more likely to experience poor health than the general population. However, little is known about the mortality or life expectancy gaps experienced by people with disabilities. We aimed to undertake a systematic review and meta-analysis of the association between disability and mortality, compare these findings to the evidence on the association of impairment types and mortality, and model the estimated life expectancy gap experienced by people with disabilities. METHODS: We did a mixed-methods study, which included a systematic review and meta-analysis, umbrella review, and life expectancy modelling. For the systematic review and meta-analysis, we searched MEDLINE, Global Health, PsycINFO, and Embase for studies published in English between Jan 1, 2007, and June 7, 2023, investigating the association of mortality and disability. We included prospective and retrospective cohort studies and randomised controlled trials with a baseline assessment of disability and a longitudinal assessment of all-cause mortality or cause-specific mortality. Two reviewers independently assessed study eligibility, extracted the data, and assessed risk of bias. We did a random-effects meta-analysis to calculate a pooled estimate of the mortality rate ratio for people with disabilities compared with those without disabilities. We did an umbrella review of meta-analyses examining the association between different impairment types and mortality. We used life table modelling to translate the mortality rate ratio into an estimate of the life expectancy gap between people with disabilities and the general population. The systematic review and meta-analysis is registered with PROSPERO, CRD42023433374. FINDINGS: Our search identified 3731 articles, of which 42 studies were included in the systematic review. The meta-analysis included 31 studies. Pooled estimates showed that all-cause mortality was 2·24 times (95% CI 1·84-2·72) higher in people with disabilities than among people without disabilities, although heterogeneity between the studies was high (τ2=0·28, I2=100%). Modelling indicated a median gap in life expectancy of 13·8 years (95% CI 13·1-14·5) by disability status. Cause-specific mortality was also higher for people with disabilities, including for cancer, COVID-19, cardiovascular disease, and suicide. The umbrella review identified nine meta-analyses, which showed consistently elevated mortality rates among people with different impairment types. INTERPRETATION: Mortality inequities experienced by people with disabilities necessitate health system changes and efforts to address inclusion and the social determinants of health. FUNDING: National Institute for Health and Care Research, Rhodes Scholarship, Indonesia Endowment Funds for Education, Foreign, Commonwealth and Development Office (Programme for Evidence to Inform Disability Action), and the Arts and Humanities Research Council.


Subject(s)
Disabled Persons , Life Expectancy , Mortality , Humans , Disabled Persons/statistics & numerical data , Mortality/trends
9.
J Health Popul Nutr ; 43(1): 59, 2024 May 06.
Article in English | MEDLINE | ID: mdl-38711145

ABSTRACT

BACKGROUND: Choline, an indispensable nutrient, plays a pivotal role in various physiological processes. The available evidence regarding the nexus between dietary choline intake and health outcomes, encompassing cardiovascular disease (CVD), cancer, and all-cause mortality, is limited and inconclusive. This study aimed to comprehensively explore the relationship between dietary choline intake and the aforementioned health outcomes in adults aged > 20 years in the U.S. METHODS: This study utilized data from the National Health and Nutrition Examination Survey between 2011 and 2018. Dietary choline intake was evaluated using two 24-h dietary recall interviews. CVD and cancer status were determined through a combination of standardized medical status questionnaires and self-reported physician diagnoses. Mortality data were gathered from publicly available longitudinal Medicare and mortality records. The study utilized survey-weighted logistic and Cox regression analyses to explore the associations between choline consumption and health outcomes. Restricted cubic spline (RCS) analysis was used for dose‒response estimation and for testing for nonlinear associations. RESULTS: In our study of 14,289 participants (mean age 48.08 years, 47.71% male), compared with those in the lowest quintile (Q1), the adjusted odds ratios (ORs) of CVD risk in the fourth (Q4) and fifth (Q5) quintiles of choline intake were 0.70 (95% CI 0.52, 0.95) and 0.65 (95% CI 0.47, 0.90), respectively (p for trend = 0.017). Each 100 mg increase in choline intake was associated with a 9% reduced risk of CVD. RCS analysis revealed a linear correlation between choline intake and CVD risk. Moderate choline intake (Q3) was associated with a reduced risk of mortality, with an HR of 0.75 (95% CI 0.60-0.94) compared with Q1. RCS analysis demonstrated a significant nonlinear association between choline intake and all-cause mortality (P for nonlinearity = 0.025). The overall cancer prevalence association was nonsignificant, except for colon cancer, where each 100 mg increase in choline intake indicated a 23% reduced risk. CONCLUSION: Elevated choline intake demonstrates an inverse association with CVD and colon cancer, while moderate consumption exhibits a correlated reduction in mortality. Additional comprehensive investigations are warranted to elucidate the broader health implications of choline.


Subject(s)
Cardiovascular Diseases , Choline , Diet , Neoplasms , Nutrition Surveys , Humans , Choline/administration & dosage , Male , Female , Cardiovascular Diseases/mortality , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/prevention & control , Middle Aged , United States/epidemiology , Neoplasms/mortality , Neoplasms/epidemiology , Adult , Prevalence , Diet/statistics & numerical data , Aged , Mortality , Cause of Death
11.
BMC Public Health ; 24(1): 1266, 2024 May 08.
Article in English | MEDLINE | ID: mdl-38720292

ABSTRACT

BACKGROUND: Long-term exposure to PM2.5 has been linked to increased mortality risk. However, limited studies have examined the potential modifying effect of community-level characteristics on this association, particularly in Asian contexts. This study aimed to estimate the effects of long-term exposure to PM2.5 on mortality in South Korea and to examine whether community-level deprivation, medical infrastructure, and greenness modify these associations. METHODS: We conducted a nationwide cohort study using the National Health Insurance Service-National Sample Cohort. A total of 394,701 participants aged 30 years or older in 2006 were followed until 2019. Based on modelled PM2.5 concentrations, 1 to 3-year and 5-year moving averages of PM2.5 concentrations were assigned to each participant at the district level. Time-varying Cox proportional-hazards models were used to estimate the association between PM2.5 and non-accidental, circulatory, and respiratory mortality. We further conducted stratified analysis by community-level deprivation index, medical index, and normalized difference vegetation index to represent greenness. RESULTS: PM2.5 exposure, based on 5-year moving averages, was positively associated with non-accidental (Hazard ratio, HR: 1.10, 95% Confidence Interval, CI: 1.01, 1.20, per 10 µg/m3 increase) and circulatory mortality (HR: 1.22, 95% CI: 1.01, 1.47). The 1-year moving average of PM2.5 was associated with respiratory mortality (HR: 1.33, 95% CI: 1.05, 1.67). We observed higher associations between PM2.5 and mortality in communities with higher deprivation and limited medical infrastructure. Communities with higher greenness showed lower risk for circulatory mortality but higher risk for respiratory mortality in association with PM2.5. CONCLUSIONS: Our study found mortality effects of long-term PM2.5 exposure and underlined the role of community-level factors in modifying these association. These findings highlight the importance of considering socio-environmental contexts in the design of air quality policies to reduce health disparities and enhance overall public health outcomes.


Subject(s)
Environmental Exposure , Particulate Matter , Humans , Republic of Korea/epidemiology , Particulate Matter/analysis , Particulate Matter/adverse effects , Male , Female , Middle Aged , Adult , Aged , Environmental Exposure/adverse effects , Cohort Studies , Mortality/trends , Air Pollution/adverse effects , Air Pollution/analysis , Air Pollutants/analysis , Air Pollutants/adverse effects , Proportional Hazards Models , Cardiovascular Diseases/mortality
12.
BMC Public Health ; 24(1): 1251, 2024 May 07.
Article in English | MEDLINE | ID: mdl-38714971

ABSTRACT

BACKGROUND: Lockdowns have been implemented to limit the number of hospitalisations and deaths during the first wave of 2019 coronavirus disease. These measures may have affected differently death characteristics, such age and sex. France was one of the hardest hit countries in Europe with a decreasing east-west gradient in excess mortality. This study aimed at describing the evolution of age at death quantiles during the lockdown in spring 2020 (17 March-11 May 2020) in the French metropolitan regions focusing on 3 representatives of the epidemic variations in the country: Bretagne, Ile-de-France (IDF) and Bourgogne-Franche-Comté (BFC). METHODS: Data were extracted from the French public mortality database from 1 January 2011 to 31 August 2020. The age distribution of mortality observed during the lockdown period (based on each decile, plus quantiles 1, 5, 95 and 99) was compared with the expected one using Bayesian non-parametric quantile regression. RESULTS: During the lockdown, 5457, 5917 and 22 346 deaths were reported in Bretagne, BFC and IDF, respectively. An excess mortality from + 3% in Bretagne to + 102% in IDF was observed during lockdown compared to the 3 previous years. Lockdown led to an important increase in the first quantiles of age at death, irrespective of the region, while the increase was more gradual for older age groups. It corresponded to fewer young people, mainly males, dying during the lockdown, with an increase in the age at death in the first quantile of about 7 years across regions. In females, a less significant shift in the first quantiles and a greater heterogeneity between regions were shown. A greater shift was observed in eastern region and IDF, which may also represent excess mortality among the elderly. CONCLUSIONS: This study focused on the innovative outcome of the age distribution at death. It shows the first quantiles of age at death increased differentially according to sex during the lockdown period, overall shift seems to depend on prior epidemic intensity before lockdown and complements studies on excess mortality during lockdowns.


Subject(s)
COVID-19 , Humans , COVID-19/mortality , COVID-19/epidemiology , France/epidemiology , Male , Female , Aged , Middle Aged , Adult , Adolescent , Young Adult , Aged, 80 and over , Infant , Child , Child, Preschool , Quarantine , Age Distribution , Mortality/trends , Infant, Newborn , Age Factors , Bayes Theorem , Communicable Disease Control/methods , SARS-CoV-2
13.
Disaster Med Public Health Prep ; 18: e89, 2024 May 09.
Article in English | MEDLINE | ID: mdl-38721660

ABSTRACT

OBJECTIVES: To quantify the burden of communicable diseases and characterize the most reported infections during public health emergency of floods in Pakistan. METHODS: The study's design is a descriptive trend analysis. The study utilized the disease data reported to District Health Information System (DHIS2) for the 12 most frequently reported priority diseases under the Integrated Disease Surveillance and Response (IDSR) system in Pakistan. RESULTS: In total, there were 1,532,963 suspected cases during August to December 2022 in flood-affected districts (n = 75) across Pakistan; Sindh Province reported the highest number of cases (n = 692,673) from 23 districts, followed by Khyber Pakhtunkhwa (KP) (n = 568,682) from 17 districts, Balochistan (n = 167,215) from 32 districts, and Punjab (n = 104,393) from 3 districts. High positivity was reported for malaria (79,622/201,901; 39.4%), followed by acute diarrhea (non-cholera) (23/62; 37.1%), hepatitis A and E (47/252; 18.7%), and dengue (603/3245; 18.6%). The crude mortality rate was 11.9 per 10 000 population (1824/1,532,963 [deaths/cases]). CONCLUSION: The study identified acute respiratory infection, acute diarrhea, malaria, and skin diseases as the most prevalent diseases. This suggests that preparedness efforts and interventions targeting these diseases should be prioritized in future flood response plans. The study highlights the importance of strengthening the IDSR as a Disease Early Warning System through the implementation of the DHIS2.


Subject(s)
Floods , Health Information Systems , Pakistan/epidemiology , Humans , Floods/statistics & numerical data , Health Information Systems/statistics & numerical data , Health Information Systems/trends , Mortality/trends , Communicable Diseases/mortality , Communicable Diseases/epidemiology
14.
J Affect Disord ; 358: 458-465, 2024 Aug 01.
Article in English | MEDLINE | ID: mdl-38750801

ABSTRACT

BACKGROUND: Regular physical activity (PA) offers numerous benefits, decreasing all-cause mortality (ACM) among the general population. However, its impact on individuals with depression remains unknown. The present study aimed to investigate the correlation between various PA levels and ACM among adult patients with depression in the United States. METHODS: Data from the National Health and Nutrition Examination Survey from 2007 to 2018, as well as relevant mortality data up to December 31, 2018 were extracted. 4850 adults with depression were incorporated into this cohort study. PA level was quantified based on weekly metabolic equivalent of task (MET-min/week) and categorized into four groups according to the Physical Activity Guidelines for Americans. Weighted Cox proportional-hazards models were leveraged to assess the association of different PA levels with ACM among adults with depression, and adjustments were made for various sociodemographic and health factors. RESULTS: Among the 4850 patients with depression, 503 deaths were noted over a median follow-up of 6.6 years. The weighted Cox regression analysis showed that participants with high-level PA (>1200 MET-min/week) had a markedly lower risk of ACM (HR = 0.48, 95 % CI 0.33 to 0.68) compared to those with no PA (0 MET-min/week). The benefit conferred by the high-level PA group (HR = 0.65, 95CI 0.45 to 0.94) remained significant (p < 0.05) after adjustment for other confounders. LIMITATIONS: PA and some covariates were assessed through self-reported questionnaires. CONCLUSION: High-level PA has the most pronounced effect on reducing ACM among adult patients with depression, which should be recognized in clinical and public health guidelines.


Subject(s)
Depression , Exercise , Nutrition Surveys , Humans , Male , Female , United States/epidemiology , Middle Aged , Adult , Mortality , Proportional Hazards Models , Aged , Cohort Studies , Cause of Death
15.
BMC Geriatr ; 24(1): 420, 2024 May 11.
Article in English | MEDLINE | ID: mdl-38734596

ABSTRACT

BACKGROUND: Sarcopenia and cognitive impairment have been linked in prior research, and both are linked to an increased risk of mortality in the general population. Muscle mass is a key factor in the diagnosis of sarcopenia. The relationship between low muscle mass and cognitive function in the aged population, and their combined impact on the risk of death in older adults, is currently unknown. This study aimed to explore the correlation between low muscle mass and cognitive function in the older population, and the relationship between the two and mortality in older people. METHODS: Data were from the National Health and Nutrition Examination Survey 1999-2002. A total of 2540 older adults aged 60 and older with body composition measures were included. Specifically, 17-21 years of follow-up were conducted on every participant. Low muscle mass was defined using the Foundation for the National Institute of Health and the Asian Working Group for Sarcopenia definitions: appendicular lean mass (ALM) (< 19.75 kg for males; <15.02 kg for females); or ALM divided by body mass index (BMI) (ALM: BMI, < 0.789 for males; <0.512 for females); or appendicular skeletal muscle mass index (ASMI) (< 7.0 kg/m2 for males; <5.4 kg/m2 for females). Cognitive functioning was assessed by the Digit Symbol Substitution Test (DSST). The follow-up period was calculated from the NHANES interview date to the date of death or censoring (December 31, 2019). RESULTS: We identified 2540 subjects. The mean age was 70.43 years (43.3% male). Age-related declines in DSST scores were observed. People with low muscle mass showed lower DSST scores than people with normal muscle mass across all age groups, especially in the group with low muscle mass characterized by ALM: BMI (60-69 years: p < 0.001; 70-79 years: p < 0.001; 80 + years: p = 0.009). Low muscle mass was significantly associated with lower DSST scores after adjusting for covariates (ALM: 43.56 ± 18.36 vs. 47.56 ± 17.44, p < 0.001; ALM: BMI: 39.88 ± 17.51 vs. 47.70 ± 17.51, p < 0.001; ASMI: 41.07 ± 17.89 vs. 47.42 ± 17.55, p < 0.001). At a mean long-term follow-up of 157.8 months, those with low muscle mass were associated with higher all-cause mortality (ALM: OR 1.460, 95% CI 1.456-1.463; ALM: BMI: OR 1.452, 95% CI 1.448-1.457); ASMI: OR 3.075, 95% CI 3.063-3.088). In the ALM: BMI and ASMI-defined low muscle mass groups, participants with low muscle mass and lower DSST scores were more likely to incur all-cause mortality ( ALM: BMI: OR 0.972, 95% CI 0.972-0.972; ASMI: OR 0.957, 95% CI 0.956-0.957). CONCLUSIONS: Low muscle mass and cognitive function impairment are significantly correlated in the older population. Additionally, low muscle mass and low DSST score, alone or in combination, could be risk factors for mortality in older adults.


Subject(s)
Cognition , Nutrition Surveys , Sarcopenia , Humans , Male , Female , Sarcopenia/epidemiology , Sarcopenia/mortality , Aged , United States/epidemiology , Middle Aged , Cognition/physiology , Aged, 80 and over , Muscle, Skeletal/pathology , Mortality/trends , Cognitive Dysfunction/epidemiology , Body Composition/physiology , Body Mass Index , Follow-Up Studies
16.
Cien Saude Colet ; 29(5): e00532023, 2024 May.
Article in Portuguese | MEDLINE | ID: mdl-38747757

ABSTRACT

The scope of this article is to analyze the trend of the standardized mortality rate (SMR) for tuberculosis and its correlation with the developmental status in Brazil. An ecological time series study was conducted to analyze data of deaths from tuberculosis reported between 2005 and 2019 in all states. Data were extracted from the Mortality Information System, the Brazilian Institute of Geography and Statistics, and the Global Burden of Disease study. The temporal trend was analyzed using Prais-Winsten regression. Spearman's correlation analysis between SMR and Socio-Demographic Index (SDI) was also performed. From 2005 to 2019, 68,879 deaths from tuberculosis were recorded in Brazil. The average mortality rate was 2.3 deaths per 100,000 inhabitants. The decreasing trend of SMR due to tuberculosis was observed in Brazil and in all regions. There was a significant negative correlation between SDI and TMP. TMP due to tuberculosis revealed a decreasing trend in Brazil and in all regions. Most states showed a decreasing trend and none of them had an increasing trend. An inverse relationship was found between developmental status and mortality due to tuberculosis.


O objetivo do artigo é analisar a tendência da taxa de mortalidade padronizada (TMP) por tuberculose e sua correlação com o status de desenvolvimento no Brasil. Estudo ecológico de séries temporais que analisou dados de óbitos por tuberculose notificados entre 2005 e 2019 de todos os estados. Os dados foram extraídos do Sistema de Informação sobre Mortalidade, do Instituto Brasileiro de Geografia e Estatística e do estudo da Carga Global de Doenças. A tendência temporal foi analisada pela regressão de Prais-Winsten. A análise da correlação de Spearman entre a TMP e o índice sociodemográfico (socio-demographic index - SDI) também foi realizada. De 2005 a 2019, foram registrados 68.879 óbitos por tuberculose no Brasil. A taxa média de mortalidade foi de 2,3 óbitos por 100.000 habitantes. A tendência decrescente da TMP por tuberculose foi observada no Brasil e em todas as regiões. Verificou-se correlação negativa significativa entre o SDI e a TMP. A maioria dos estados apresentou tendência decrescente e nenhum deles teve tendência crescente. Uma relação inversa foi verificada entre o SDI e a mortalidade por tuberculose.


Subject(s)
Socioeconomic Factors , Tuberculosis , Brazil/epidemiology , Humans , Tuberculosis/mortality , Tuberculosis/epidemiology , Mortality/trends
17.
BMC Public Health ; 24(1): 1269, 2024 May 09.
Article in English | MEDLINE | ID: mdl-38725017

ABSTRACT

BACKGROUND: Over the past three decades, China has experienced significant changes in urban-rural, gender, and age-specific suicide mortality patterns. This study aimed to investigate the long-term trends in suicide mortality in China from 1987 to 2020. METHODS: Suicide mortality data were obtained from China's National Health Commission. Joinpoint regression analysis was used to examine changes in trends and age-period-cohort modeling to estimate age, period, and cohort effects on suicide mortality from 1987 to 2020. Net drift, local drift, longitudinal age curves, and period relative risks were also calculated. RESULTS: Crude and age-standardized suicide mortality in China showed continuing downward trends from 1987 to 2020, with a more pronounced decrease in rural areas (net drift = -7.07%, p<0.01) compared to urban areas (net drift = -3.41%, p<0.01). The decline curve of urban areas could be divided into three substages. Period and cohort effects were more prominent in rural areas. Suicide risk was highest among individuals aged 20-24 and gradually increased after age 60. Females, particularly those of childbearing age, had higher suicide risk than males, with a reversal observed after age 50. This gender reversal showed distinct patterns in urban and rural areas, with a widening gap in urban areas and a relatively stable gap in rural areas. CONCLUSIONS: Suicide mortality in China has consistently declined over the past three decades. However, disparities in age, gender, and urban-rural settings persist, with new patterns emerging. Targeted suicide prevention programs are urgently needed for high-risk groups, including females of childbearing age and the elderly, and to address the slower decrease and reversing urban-rural gender trends.


Subject(s)
Rural Population , Suicide , Urban Population , Humans , China/epidemiology , Male , Female , Middle Aged , Adult , Suicide/trends , Suicide/statistics & numerical data , Young Adult , Rural Population/statistics & numerical data , Urban Population/statistics & numerical data , Adolescent , Aged , Mortality/trends , Health Status Disparities
18.
Int J Epidemiol ; 53(3)2024 Apr 11.
Article in English | MEDLINE | ID: mdl-38725299

ABSTRACT

BACKGROUND: Model-estimated air pollution exposure products have been widely used in epidemiological studies to assess the health risks of particulate matter with diameters of ≤2.5 µm (PM2.5). However, few studies have assessed the disparities in health effects between model-estimated and station-observed PM2.5 exposures. METHODS: We collected daily all-cause, respiratory and cardiovascular mortality data in 347 cities across 15 countries and regions worldwide based on the Multi-City Multi-Country collaborative research network. The station-observed PM2.5 data were obtained from official monitoring stations. The model-estimated global PM2.5 product was developed using a machine-learning approach. The associations between daily exposure to PM2.5 and mortality were evaluated using a two-stage analytical approach. RESULTS: We included 15.8 million all-cause, 1.5 million respiratory and 4.5 million cardiovascular deaths from 2000 to 2018. Short-term exposure to PM2.5 was associated with a relative risk increase (RRI) of mortality from both station-observed and model-estimated exposures. Every 10-µg/m3 increase in the 2-day moving average PM2.5 was associated with overall RRIs of 0.67% (95% CI: 0.49 to 0.85), 0.68% (95% CI: -0.03 to 1.39) and 0.45% (95% CI: 0.08 to 0.82) for all-cause, respiratory, and cardiovascular mortality based on station-observed PM2.5 and RRIs of 0.87% (95% CI: 0.68 to 1.06), 0.81% (95% CI: 0.08 to 1.55) and 0.71% (95% CI: 0.32 to 1.09) based on model-estimated exposure, respectively. CONCLUSIONS: Mortality risks associated with daily PM2.5 exposure were consistent for both station-observed and model-estimated exposures, suggesting the reliability and potential applicability of the global PM2.5 product in epidemiological studies.


Subject(s)
Air Pollutants , Air Pollution , Cardiovascular Diseases , Cities , Environmental Exposure , Particulate Matter , Humans , Particulate Matter/adverse effects , Particulate Matter/analysis , Cardiovascular Diseases/mortality , Cities/epidemiology , Environmental Exposure/adverse effects , Air Pollution/adverse effects , Air Pollution/analysis , Air Pollutants/adverse effects , Air Pollutants/analysis , Respiratory Tract Diseases/mortality , Male , Mortality/trends , Female , Middle Aged , Aged , Environmental Monitoring/methods , Adult , Machine Learning
19.
PLoS Med ; 21(5): e1004364, 2024 May.
Article in English | MEDLINE | ID: mdl-38743771

ABSTRACT

BACKGROUND: The regional disparity of heatwave-related mortality over a long period has not been sufficiently assessed across the globe, impeding the localisation of adaptation planning and risk management towards climate change. We quantified the global mortality burden associated with heatwaves at a spatial resolution of 0.5°×0.5° and the temporal change from 1990 to 2019. METHODS AND FINDINGS: We collected data on daily deaths and temperature from 750 locations of 43 countries or regions, and 5 meta-predictors in 0.5°×0.5° resolution across the world. Heatwaves were defined as location-specific daily mean temperature ≥95th percentiles of year-round temperature range with duration ≥2 days. We first estimated the location-specific heatwave-mortality association. Secondly, a multivariate meta-regression was fitted between location-specific associations and 5 meta-predictors, which was in the third stage used with grid cell-specific meta-predictors to predict grid cell-specific association. Heatwave-related excess deaths were calculated for each grid and aggregated. During 1990 to 2019, 0.94% (95% CI: 0.68-1.19) of deaths [i.e., 153,078 cases (95% eCI: 109,950-194,227)] per warm season were estimated to be from heatwaves, accounting for 236 (95% eCI: 170-300) deaths per 10 million residents. The ratio between heatwave-related excess deaths and all premature deaths per warm season remained relatively unchanged over the 30 years, while the number of heatwave-related excess deaths per 10 million residents per warm season declined by 7.2% per decade in comparison to the 30-year average. Locations with the highest heatwave-related death ratio and rate were in Southern and Eastern Europe or areas had polar and alpine climates, and/or their residents had high incomes. The temporal change of heatwave-related mortality burden showed geographic disparities, such that locations with tropical climate or low incomes were observed with the greatest decline. The main limitation of this study was the lack of data from certain regions, e.g., Arabian Peninsula and South Asia. CONCLUSIONS: Heatwaves were associated with substantial mortality burden that varied spatiotemporally over the globe in the past 30 years. The findings indicate the potential benefit of governmental actions to enhance health sector adaptation and resilience, accounting for inequalities across communities.


Subject(s)
Climate Change , Extreme Heat , Humans , Extreme Heat/adverse effects , Global Health/trends , Hot Temperature/adverse effects , Mortality/trends , Seasons
20.
Rev Saude Publica ; 58: 20, 2024.
Article in English | MEDLINE | ID: mdl-38747868

ABSTRACT

OBJECTIVE: To assess regional and national mortality and years of life lost (YLL) related to adverse drug events in Brazil. METHODS: This is an ecological study in which death records from 2009 to 2018 from the Mortality Information System were analyzed. Codes from the International Classification of Diseases 10th revision (ICD-10) that indicated drugs as the cause of death were identified. The number of deaths and the YLL due to adverse drug events were obtained. Crude, age- and gender-specific, and age-adjusted mortality rates and YLL rates per 100,000 inhabitants were formed by year, age group, gender, and Brazilian Federative Unit. Rate ratios were calculated by comparing rates from 2009 to 2018. A joinpoint regression model was applied for temporal analysis. RESULTS: For the selected ICD-10 codes, a total of 95,231 deaths and 2,843,413 YLL were recorded. Mortality rates from adverse drug events increased by a mean of 2.5% per year, and YLL rates increased by 3.7%. Increases in rates were observed in almost all age groups for both genders. Variations in rates were found between Federative Units, with the highest age-adjusted mortality and YLL rates occurring in the Distrito Federal. CONCLUSIONS: The numbers and rates of deaths and YLL increased during the study period, and variations in rates of deaths and YLL were observed between Brazilian Federative Units. Information on multiple causes of death from death certificates can be useful for quantifying adverse drug events and analyzing them geographically, by age and by gender.


Subject(s)
Cause of Death , Drug-Related Side Effects and Adverse Reactions , Humans , Brazil/epidemiology , Male , Female , Drug-Related Side Effects and Adverse Reactions/mortality , Drug-Related Side Effects and Adverse Reactions/epidemiology , Adult , Middle Aged , Adolescent , Young Adult , Aged , Child, Preschool , Child , Infant , Sex Distribution , Age Distribution , Life Expectancy , Infant, Newborn , Mortality/trends
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