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Acta Psychiatrica Scandinavica Jun 2015To review and complete meta-analysis of studies estimating standardised mortality ratios (SMRs) in bipolar affective disorder (BPAD) for all-cause and cause-specific... (Meta-Analysis)
Meta-Analysis Review
OBJECTIVE
To review and complete meta-analysis of studies estimating standardised mortality ratios (SMRs) in bipolar affective disorder (BPAD) for all-cause and cause-specific mortalities.
METHOD
Cause-specific mortality was grouped into natural and unnatural causes. These subgroups were further divided into circulatory, respiratory, neoplastic and infectious causes, and suicide and other violent deaths. Summary SMRs were calculated using random-effects meta-analysis. Heterogeneity was examined via subgroup analysis and meta-regression.
RESULTS
Systematic searching found 31 studies meeting inclusion criteria. Summary SMR for all-cause mortality = 2.05 (95% CI 1.89-2.23), but heterogeneity was high (I(2) = 96.2%). This heterogeneity could not be accounted for by date of publication, cohort size, mid-decade of data collection, population type or geographical region. Unnatural death summary SMR = 7.42 (95% CI 6.43-8.55) and natural death = 1.64 (95% CI 1.47-1.83). Specifically, suicide SMR = 14.44 (95% CI 12.43-16.78), other violent death SMR = 3.68 (95% CI 2.77-4.90), deaths from circulatory disease = 1.73 (95% CI 1.54-1.94), respiratory disease = 2.92 (95% CI 2.00-4.23), infection = 2.25 (95% CI 1.70-3.00) and neoplasm = 1.14 (95% CI 1.10-1.21).
CONCLUSION
Despite considerable heterogeneity, all summary SMR estimates and a large majority of individual studies showed elevated mortality in BPAD compared to the general population. This was true for all causes of mortality studied.
Topics: Age Factors; Bipolar Disorder; Cause of Death; Humans; Mortality, Premature; Suicide
PubMed: 25735195
DOI: 10.1111/acps.12408 -
Journal of Alzheimer's Disease : JAD 2021It remains unclear whether the increased focus on improving healthcare and providing appropriate care for people with dementia has affected mortality.
BACKGROUND
It remains unclear whether the increased focus on improving healthcare and providing appropriate care for people with dementia has affected mortality.
OBJECTIVE
To assess survival and to conduct a time trend analysis of annual mortality rate ratios (MRR) of dementia based on healthcare data from an entire national population.
METHODS
We assessed survival and annual MRR in all residents of Denmark ≥65 years from 1996-2015 using longitudinal registry data on dementia status and demographics. For comparison, mortality and survival were calculated for acute ischemic heart disease (IHD) and cancer.
RESULTS
The population comprised 1,999,366 people (17,541,315 person years). There were 165,716 people (529,629 person years) registered with dementia, 131,321 of whom died. From 1996-2015, the age-adjusted MRR for dementia declined (women: 2.76 to 2.05; men: 3.10 to 1.99) at a similar rate to elderly people without dementia. The sex-, age-, and calendar-year-adjusted MRR was 2.91 (95%CI: 2.90-2.93) for people with dementia. MRR declined significantly more for acute IHD and cancer. In people with dementia, the five-year survival for most age-groups was at a similar level or lower as that for acute IHD and cancer.
CONCLUSION
Although mortality rates declined over the 20-year period, MRR stayed higher for people with dementia, while the MRR gap, compared with elderly people without dementia, remained unchanged. For the comparison, during the same period, the MRR gap narrowed between people with and without acute IHD and cancer. Consequently, initiatives for improving health and decreasing mortality in dementia are still highly relevant.
Topics: Aged; Aged, 80 and over; Cause of Death; Cohort Studies; Dementia; Denmark; Female; Humans; Male; Mortality; Myocardial Ischemia; Neoplasms; Registries
PubMed: 33252077
DOI: 10.3233/JAD-200823 -
The Lancet. Public Health Jan 2022The expansion of the Medicaid public health insurance programme has varied by state in the USA. Longer-term mortality and factors associated with variability in outcomes... (Observational Study)
Observational Study
BACKGROUND
The expansion of the Medicaid public health insurance programme has varied by state in the USA. Longer-term mortality and factors associated with variability in outcomes after Medicaid expansion are under-studied. We aimed to investigate the association of state Medicaid expansion with all-cause mortality.
METHODS
This was a population-based, national, observational cohort study capturing all reported deaths among adults aged 25-64 years via death certificate data in the Centers for Disease Control and Prevention's Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) database in the USA from Jan 1, 2010, to Dec 31, 2018. We obtained national demographic and mortality data for adults aged 25-64 years, and state-level demographics and 2010-18 mortality estimates for the overall population by linking federally maintained registries (CDC WONDER, Behavioral Risk Factor Surveillance System, Health Resources and Services Administration, US Census Bureau, and Bureau of Labor Statistics). States were categorised as Medicaid expansion or non-expansion states as classified by the Kaiser Family Foundation. Multivariable difference-in-differences analysis assessed the absolute difference in the annual, state-level, all-cause mortality per 100 000 adults after Medicaid expansion.
FINDINGS
Among 32 expansion states and 17 non-expansion states, Medicaid expansion was associated with reductions in all-cause mortality (-11·8 deaths per 100 000 adults [95% CI -21·3 to -2·2]). There was variability in changes in all-cause mortality associated with Medicaid expansion by state (ranging from -63·8 deaths per 100 000 adults [95% CI -134·1 to -42·9] in Delaware to 30·4 deaths per 100 000 adults [-39·8 to 51·4] in New Mexico). State-level proportions of women (-17·8 deaths per 100 000 adults [95% CI -26·7 to -8·8] for each percentage point increase in women residents) and non-Hispanic Black residents (-1·4 deaths per 100 000 adults [-2·4 to -0·3] for each percentage point increase in non-Hispanic Black residents) were associated with greater adjusted reductions in all-cause mortality among expansion states.
INTERPRETATION
After 4 years of implementation, Medicaid expansion remains associated with significant reductions in all-cause mortality, but reductions are variable by state characteristics. These results could inform policy makers to provide broad-based equitable improvements in health outcomes.
FUNDING
University of Southern California Research Center for Liver Diseases.
Topics: Adult; Behavioral Risk Factor Surveillance System; Female; Humans; Male; Medicaid; Middle Aged; Mortality; Residence Characteristics; Sex Distribution; Sociodemographic Factors; United States
PubMed: 34863364
DOI: 10.1016/S2468-2667(21)00252-8 -
PloS One 2021Identifying high risk geographical clusters for neonatal mortality is important for guiding policy and targeted interventions. However, limited studies have been...
INTRODUCTION
Identifying high risk geographical clusters for neonatal mortality is important for guiding policy and targeted interventions. However, limited studies have been conducted in Ghana to identify such clusters.
OBJECTIVE
This study aimed to identify high-risk clusters for all-cause and cause-specific neonatal mortality in the Kintampo Districts.
MATERIALS AND METHODS
Secondary data, comprising of 30,132 singleton neonates between January 2005 and December 2014, from the Kintampo Health and Demographic Surveillance System (KHDSS) database were used. Verbal autopsies were used to determine probable causes of neonatal deaths. Purely spatial analysis was ran to scan for high-risk clusters using Poisson and Bernoulli models for all-cause and cause-specific neonatal mortality in the Kintampo Districts respectively with village as the unit of analysis.
RESULTS
The study revealed significantly high risk of village-clusters for neonatal deaths due to asphyxia (RR = 1.98, p = 0.012) and prematurity (RR = 5.47, p = 0.025) in the southern part of Kintampo Districts. Clusters (emerging clusters) which have the potential to be significant in future, for all-cause neonatal mortality was also identified in the south-western part of the Kintampo Districts.
CONCLUSIONS
Study findings showed cause-specific neonatal mortality clustering in the southern part of the Kintampo Districts. Emerging cluster was also identified for all-cause neonatal mortality. More attention is needed on prematurity and asphyxia in the identified cause-specific neonatal mortality clusters. The emerging cluster for all-cause neonatal mortality also needs more attention to forestall any formation of significant mortality cluster in the future. Further research is also required to understand the high concentration of prematurity and asphyxiated deaths in the identified clusters.
Topics: Asphyxia Neonatorum; Cause of Death; Female; Ghana; Humans; Infant; Infant Mortality; Infant, Low Birth Weight; Infant, Newborn; Infant, Premature; Male; Risk Factors
PubMed: 34170957
DOI: 10.1371/journal.pone.0253573 -
Global Health, Science and Practice Jun 2020As with the Ebola outbreak, global under-5 mortality and morbidity should be considered a public health emergency of international concern.
As with the Ebola outbreak, global under-5 mortality and morbidity should be considered a public health emergency of international concern.
Topics: Cause of Death; Child; Child Health; Child Mortality; Child, Preschool; Democratic Republic of the Congo; Disease Outbreaks; Emergencies; Global Health; Hemorrhagic Fever, Ebola; Humans; Infant; Infant Health; Infant Mortality
PubMed: 32430358
DOI: 10.9745/GHSP-D-19-00422 -
The Lancet. Public Health Dec 2021Since 2013, Hong Kong has sustained the world's highest life expectancy at birth-a key indicator of population health. The reasons behind this achievement remain poorly... (Comparative Study)
Comparative Study
BACKGROUND
Since 2013, Hong Kong has sustained the world's highest life expectancy at birth-a key indicator of population health. The reasons behind this achievement remain poorly understood but are of great relevance to both rapidly developing and high-income regions. Here, we aim to compare factors behind Hong Kong's survival advantage over long-living, high-income countries.
METHODS
Life expectancy data from 1960-2020 were obtained for 18 high-income countries in the Organisation for Economic Co-operation and Development from the Human Mortality Database and for Hong Kong from Hong Kong's Census and Statistics Department. Causes of death data from 1950-2016 were obtained from WHO's Mortality Database. We used truncated cross-sectional average length of life (TCAL) to identify the contributions to survival differences based on 263 million deaths overall. As smoking is the leading cause of premature death, we also compared smoking-attributable mortality between Hong Kong and the high-income countries.
FINDINGS
From 1979-2016, Hong Kong accumulated a substantial survival advantage over high-income countries, with a difference of 1·86 years (95% CI 1·83-1·89) for males and 2·50 years (2·47-2·53) for females. As mortality from infectious diseases declined, the main contributors to Hong Kong's survival advantage were lower mortality from cardiovascular diseases for both males (TCAL difference 1·22 years, 95% CI 1·21-1·23) and females (1·19 years, 1·18-1·21), cancer for females (0·47 years, 0·45-0·48), and transport accidents for males (0·27 years, 0·27-0·28). Among high-income populations, Hong Kong recorded the lowest cardiovascular mortality and one of the lowest cancer mortalities in women. These findings were underpinned by the lowest absolute smoking-attributable mortality in high-income regions (39·7 per 100 000 in 2016, 95% CI 34·4-45·0). Reduced smoking-attributable mortality contributed to 50·5% (0·94 years, 0·93-0·95) of Hong Kong's survival advantage over males in high-income countries and 34·8% (0·87 years, 0·87-0·88) of it in females.
INTERPRETATION
Hong Kong's leading longevity is the result of fewer diseases of poverty while suppressing the diseases of affluence. A unique combination of economic prosperity and low levels of smoking with development contributed to this achievement. As such, it offers a framework that could be replicated through deliberate policies in developing and developed populations globally.
FUNDING
Early Career Scheme (RGC ECS Grant #27602415), Research Grants Council, University Grants Committee of Hong Kong.
Topics: Accidents, Traffic; Cardiovascular Diseases; Cause of Death; Databases, Factual; Developed Countries; Female; Hong Kong; Humans; Life Expectancy; Longevity; Male; Mortality; Neoplasms; Organisation for Economic Co-Operation and Development; Population Dynamics; Smoking
PubMed: 34774201
DOI: 10.1016/S2468-2667(21)00208-5 -
JAMA Network Open Jan 2021To address elevated mortality rates and historically entrenched racial inequities in mortality rates, the United States needs targeted efforts at all levels of... (Comparative Study)
Comparative Study
IMPORTANCE
To address elevated mortality rates and historically entrenched racial inequities in mortality rates, the United States needs targeted efforts at all levels of government. However, few or no all-cause mortality data are available at the local level to motivate and guide city-level actions for health equity within the country's biggest cities.
OBJECTIVES
To provide city-level data on all-cause mortality rates and racial inequities within cities and to determine whether these measures changed during the past decade.
DESIGN, SETTING, AND PARTICIPANTS
This cross-sectional study used mortality data from the National Vital Statistics System and American Community Survey population estimates to calculate city-level mortality rates for the non-Hispanic Black (Black) population, non-Hispanic White (White) population, and total population from January 2016 to December 2018. Changes from January 2009 to December 2018 were examined with joinpoint regression. Data were analyzed for the United States and the 30 most populous US cities. Data analysis was conducted from February to November 2020.
EXPOSURE
City of residence.
MAIN OUTCOMES AND MEASURES
Total population and race-specific age-standardized mortality rates using 3-year averages, mortality rate ratios between Black and White populations, excess Black deaths, and annual average percentage change in mortality rates and rate ratios.
RESULTS
The study included 26 295 827 death records. In 2016 to 2018, all-cause mortality rates ranged from 537 per 100 000 population in San Francisco to 1342 per 100 000 in Las Vegas compared with the overall US rate of 759 per 100 000. The all-cause mortality rate among Black populations was 24% higher than among White populations nationally (rate ratio, 1.236; 95% CI, 1.233 to 1.238), resulting in 74 402 excess Black deaths annually. At the city level, this ranged from 6 excess Black deaths in El Paso to 3804 excess Black deaths every year in Chicago. The US rate remained constant during the study period (average annual percentage change, -0.10%; 95% CI, -0.34% to 0.14%; P = .42). The racial inequities in rates for the US decreased between 2008 and 2019 (annual average percentage change, -0.51%; 95% CI, -0.92% to -0.09%; P =0.02). Only 14 of 30 cities (46.7%) experienced improvements in overall mortality rates during the past decade. Racial inequities increased in more cities (6 [20.0%]) than in which it decreased (2 [6.7%]).
CONCLUSIONS AND RELEVANCE
In this study, mortality rates and inequities between Black and White populations varied substantially among the largest US cities. City leaders and other health advocates can use these types of local data on the burden of death and health inequities in their jurisdictions to increase awareness and advocacy related to racial health inequities, to guide the allocation of local resources, to monitor trends over time, and to highlight effective population health strategies.
Topics: Black or African American; Cause of Death; Cross-Sectional Studies; Female; Humans; Male; Mortality; Mortality, Premature; United States; White People
PubMed: 33471116
DOI: 10.1001/jamanetworkopen.2020.32086 -
Nutrients Jan 2022Little is known about the effect of milk intake on all-cause mortality among Chinese adults. The present study aimed to explore the association between milk intake and...
BACKGROUND
Little is known about the effect of milk intake on all-cause mortality among Chinese adults. The present study aimed to explore the association between milk intake and all-cause mortality in the Chinese population.
METHODS
Data from 1997 to 2015 of the China Health and Nutrition Survey (CHNS) were used. A total of 14,738 participants enrolled in the study. Dietary data were obtained by three day 24-h dietary recall. All-cause mortality was assessed according to information reported. The association between milk intake and all-cause mortality were explored using Cox regression and further stratified with different levels of dietary diversity score (DDS) and energy intake.
RESULTS
11,975 (81.25%) did not consume milk, 1341 (9.10%) and 1422 (9.65%) consumed 0.1-2 portions/week and >2 portions/week, respectively. Milk consumption of 0.1-2 portions/week was related to the decreased all-cause mortality (HR: 0.59, 95% CI: 0.41-0.85). In stratified analysis, consuming 0.1-2 portions/week was associated with decreased all-cause mortality among people with high DDS and energy intake.
CONCLUSIONS
Milk intake is low among Chinese adults. Consuming 0.1-2 portions of milk/week might be associated with the reduced risk of death among Chinese adults by advocating health education. Further research is required to investigate the relationships between specific dairy products and cause-specific mortality.
Topics: Adult; Animals; Cause of Death; China; Diet; Female; Humans; Male; Middle Aged; Milk; Mortality; Nutrition Surveys; Proportional Hazards Models; Prospective Studies
PubMed: 35057475
DOI: 10.3390/nu14020292 -
BMC Cancer Dec 2020Breast cancer (BC) is the most common malignancy in Latin American women, but with a wide variability with respect to their mortality. This study aims to estimate the...
BACKGROUND
Breast cancer (BC) is the most common malignancy in Latin American women, but with a wide variability with respect to their mortality. This study aims to estimate the mortality rates from BC in Peruvian women and to assess mortality trends over 15 years.
METHODS
We calculated BC age-standardized mortality rate (ASMR) per 100,000 women-years using the world standard SEGI population. We estimated joinpoint regression models for BC in Peru and its geographical areas. The spatial analysis was performed using the Moran's I statistic.
RESULTS
In a 15-year period, Peru had a mortality rate of 9.97 per 100,000 women-years. The coastal region had the highest mortality rate (12.15 per 100,000 women-years), followed by the highlands region (4.71 per 100,000 women-years). In 2003, the highest ASMR for BC were in the provinces of Lima, Arequipa, and La Libertad (above 8.0 per 100,000 women-years), whereas in 2017, the highest ASMR were in Tumbes, Callao, and Moquegua (above 13.0 per women-years). The mortality trend for BC has been declining in the coastal region since 2005 (APC = - 1.35, p < 0.05), whereas the highlands region experienced an upward trend throughout the study period (APC = 4.26, p < 0.05). The rainforest region had a stable trend. Spatial analysis showed a Local Indicator of Spatial Association of 0.26 (p < 0.05).
CONCLUSION
We found regional differences in the mortality trends over 15 years. Although the coastal region experienced a downward trend, the highlands had an upward mortality trend in the entire study period. It is necessary to implement tailored public health interventions to reduce BC mortality in Peru.
Topics: Breast Neoplasms; Female; Humans; Mortality; Peru
PubMed: 33261561
DOI: 10.1186/s12885-020-07671-x -
PloS One 2015Body Mass Index (BMI) is known to be associated with cancer mortality, but little is known about the link between lifetime changes in BMI and cancer mortality in both...
Body Mass Index (BMI) is known to be associated with cancer mortality, but little is known about the link between lifetime changes in BMI and cancer mortality in both males and females. We studied the association of BMI measurements (at baseline, highest and lowest BMI during the study-period) and lifetime changes in BMI (calculated over different time periods (i.e. short time period: annual change in BMI between successive surveys, long time period: annual change in BMI over the entire study period) with mortality from any cancer, and lung, colorectal, prostate and breast cancer in a large cohort study (n=8,645. Vlagtwedde-Vlaardingen, 1965-1990) with a follow-up on mortality status on December 31st 2008. We used multivariate Cox regression models with adjustments for age, smoking, sex, and place of residence. Being overweight at baseline was associated with a higher risk of prostate cancer mortality (hazard ratio (HR) =2.22; 95% CI 1.19-4.17). Obesity at baseline was associated with a higher risk of any cancer mortality [all subjects (1.23 (1.01-1.50)), and females (1.40 (1.07-1.84))]. Chronically obese females (females who were obese during the entire study-period) had a higher risk of mortality from any cancer (2.16 (1.47-3.18), lung (3.22 (1.06-9.76)), colorectal (4.32 (1.53-12.20)), and breast cancer (2.52 (1.15-5.54)). We found no significant association between long-term annual change in BMI and cancer mortality risk. Both short-term annual increase and decrease in BMI were associated with a lower mortality risk from any cancer [all subjects: (0.67 (0.47-0.94)) and (0.73 (0.55-0.97)), respectively]. In conclusion, a higher BMI is associated with a higher cancer mortality risk. This study is the first to show that short-term annual changes in BMI were associated with lower mortality from any type of cancer.
Topics: Adult; Aged; Body Mass Index; Female; Humans; Male; Middle Aged; Mortality; Neoplasms; Obesity; Prognosis; Risk Factors; Survival Rate; Time Factors; Young Adult
PubMed: 25881129
DOI: 10.1371/journal.pone.0125261