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BMJ Open Apr 2023Examine the association between country-level gender social norms and (1) cardiovascular disease mortality rates; (2) female to male cardiovascular disease mortality...
OBJECTIVE
Examine the association between country-level gender social norms and (1) cardiovascular disease mortality rates; (2) female to male cardiovascular disease mortality ratios; and (3) life expectancy.
DESIGN
Ecological study with the country as the unit of analysis.
SETTING
Global, country-level data.
PARTICIPANTS
Global population of countries with data available on gender social norms as measured by the Gender Social Norms Index (developed by the United Nations Development Programme).
MAIN OUTCOME MEASURES
Country-level female and male age-standardised cardiovascular disease mortality rates, population age-standardised cardiovascular disease mortality rates, female to male cardiovascular disease mortality ratios, female and male life expectancy at birth. Outcome measure data were retrieved from the WHO and the Institute for Health Metrics and Evaluation. Multivariable linear regression models were fitted to explore the relationship between gender social norms and the outcome variables.
RESULTS
Higher levels of biased gender social norms, as measured by the Gender Social Norms Index, were associated with higher female, male and population cardiovascular disease mortality rates in the multivariable models (β 4.86, 95% CIs 3.18 to 6.54; β 5.28, 95% CIs 3.42 to 7.15; β 4.89, 95% CIs 3.18 to 6.60), and lower female and male life expectancy (β -0.07, 95% CIs -0.11 to -0.03; β -0.05, 95% CIs -0.10 to -0.01). These results included adjustment within the models for potentially confounding country-level factors including gross domestic product per capita, population mean years of schooling, physicians per 1000 population, year of Gender Social Norms Index data collection and maternal mortality ratio.
CONCLUSIONS
Our analysis suggests that higher levels of biased gender social norms are associated with higher rates of population cardiovascular disease mortality and lower life expectancy for both sexes. Future research should explore this relationship further, to define its causal role and promote public health action.
Topics: Infant, Newborn; Humans; Male; Female; Cardiovascular Diseases; Social Norms; Life Expectancy; Educational Status; Maternal Mortality; Mortality
PubMed: 37105692
DOI: 10.1136/bmjopen-2022-065486 -
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 -
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 -
Science (New York, N.Y.) Feb 2022India’s national COVID death totals remain undetermined. Using an independent nationally representative survey of 0.14 million (M) adults, we compared COVID mortality...
India’s national COVID death totals remain undetermined. Using an independent nationally representative survey of 0.14 million (M) adults, we compared COVID mortality during the 2020 and 2021 viral waves to expected all-cause mortality. COVID constituted 29% (95%CI 28-31%) of deaths from June 2020-July 2021, corresponding to 3.2M (3.1-3.4) deaths, of which 2.7M (2.6-2.9) occurred in April-July 2021 (when COVID doubled all-cause mortality). A sub-survey of 57,000 adults showed similar temporal increases in mortality with COVID and non-COVID deaths peaking similarly. Two government data sources found that, when compared to pre-pandemic periods, all-cause mortality was 27% (23-32%) higher in 0.2M health facilities and 26% (21-31%) higher in civil registration deaths in ten states; both increases occurred mostly in 2021. The analyses find that India’s cumulative COVID deaths by September 2021 were 6-7 times higher than reported officially.
Topics: Adult; COVID-19; Cause of Death; Family Characteristics; Female; Health Facilities; Hospital Mortality; Humans; India; Male; Mortality
PubMed: 34990216
DOI: 10.1126/science.abm5154 -
BMJ Open Sep 2020This umbrella review summarises and critically appraises the evidence on the effects of regulated or high-volume perinatal care on outcome among very low birth...
OBJECTIVE
This umbrella review summarises and critically appraises the evidence on the effects of regulated or high-volume perinatal care on outcome among very low birth weight/very preterm infants born in countries with neonatal mortality <5/1000 births.
INTERVENTION/EXPOSITION
Perinatal regionalisation, centralisation, case-volume.
PRIMARY OUTCOMES
Death.
SECONDARY OUTCOMES
Disability, discomfort, disease, dissatisfaction.
METHODS
On 29 November 2019 a systematic search in MEDLINE and Embase was performed and supplemented by hand search. Relevant systematic reviews (SRs) were critically appraised with A MeaSurement Tool to Assess systematic Reviews 2.
RESULTS
The literature search revealed 508 hits and three SRs were included. Effects of perinatal regionalisation were assessed in three (34 studies) and case-volume in one SR (6 studies). Centralisation has not been evaluated. The included SRs reported effects on 'death' (eg, neonatal), 'disability' (eg, mental status), 'discomfort' (eg, maternal sensitivity) and 'disease' (eg, intraventricular haemorrhages). 'Dissatisfactions' were not reported. The critical appraisal showed a heterogeneous quality ranging from moderate to critically low. A pooled effect estimate was reported once and showed a significant favour of perinatal regionalisation in terms of neonatal mortality (OR 1.60, 95% CI 1.33-1.92). The qualitative evidence synthesis of the two SRs without pooled estimate suggests superiority of perinatal regionalisation in terms of different mortality and non-mortality outcomes. In one SR, contradictory results of lower neonatal mortality rates were reported in hospitals with higher birth volumes.
CONCLUSIONS
Regionalised perinatal care seems to be a crucial care strategy to improve the survival of very low birth weight and preterm births. To overcome the low and critically low methodological quality and to consider additional clinical and patient-reported results that were not addressed by the SRs included, we recommend an updated SR. In the long term, an international, uniformly conceived and defined perinatal database could help to provide evidence-based recommendations on optimal strategies to regionalise perinatal care.
PROSPERO REGISTRATION NUMBER
CRD42018094835.
Topics: Dietary Supplements; Female; Hospitals; Humans; Infant; Infant Mortality; Infant, Newborn; Infant, Premature; Perinatal Mortality; Pregnancy
PubMed: 32978190
DOI: 10.1136/bmjopen-2020-037135 -
Nursing Research 2020Although prior studies of inpatient maternal mortality in the United States provide data on the overall rate and trend in inpatient maternal mortality, there are no...
BACKGROUND
Although prior studies of inpatient maternal mortality in the United States provide data on the overall rate and trend in inpatient maternal mortality, there are no published reports of maternal mortality data stratified by timing of its occurrence across the pregnancy continuum (antepartum, intrapartum, and postpartum).
OBJECTIVE
The study objective was to determine whether the maternal mortality rate, trends over time, self-reported race/ethnicity, and associated factors vary based on the timing of the occurrence of death during pregnancy.
METHODS
We conducted a cross-sectional analysis of the Nationwide Inpatient Sample database to identify pregnancy-related inpatient stays stratified by timing. Among women in the sample, we determined in-hospital mortality and used International Classification of Diseases, Ninth Revision, Clinical Modification codes to identify comorbidities and behavioral characteristics associated with mortality, including alcohol, drug, and tobacco use. Joinpoint regression was used to calculate rates and trends of in-hospital maternal mortality.
RESULTS
During the study period, there were 7,411 inpatient maternal mortalities among an estimated 58,742,179 hospitalizations of women 15-49 years of age. In-hospital maternal mortality rate stratified by race showed that African Americans died at significantly higher rates during antepartum, intrapartum, and postpartum periods compared to hospitalizations for Whites or Hispanics during the same time period. Although the postpartum hospitalization represents only 2% of pregnancy-related hospitalizations among women aged 15-49 years, hospitalization during this time period accounted for 27.2% of all maternal deaths during pregnancy-related hospitalization.
DISCUSSION
Most in-hospital maternal mortalities occur after hospital discharge from child birth (postpartum period). Yet, the postpartum period continues to be the time period with the least maternal healthcare surveillance in the pregnancy continuum. African American women experience three times more in-hospital mortality when compared to their White counterparts.
Topics: Adolescent; Adult; Cross-Sectional Studies; Female; Forecasting; Hospital Mortality; Humans; Maternal Mortality; Middle Aged; Pregnancy; Pregnancy Complications; Time Factors; United States; Young Adult
PubMed: 31609900
DOI: 10.1097/NNR.0000000000000397 -
Internal and Emergency Medicine Jun 2022Studies exploring differences between comorbidity (i.e., the co-existence of additional diseases with reference to an index condition) and multimorbidity (i.e., the... (Observational Study)
Observational Study
Studies exploring differences between comorbidity (i.e., the co-existence of additional diseases with reference to an index condition) and multimorbidity (i.e., the presence of multiple diseases in which no one holds priority) are lacking. In this single-center, observational study conducted in an academic, internal medicine ward, we aimed to evaluate the prevalence of patients with two or more multiple chronic conditions (MCC), comorbidity, or multimorbidity, correlating them with other patients' characteristics. The three categories were compared to the Cumulative Illness Rating Scale (CIRS) comorbidity index, age, gender, polytherapy, 30-day readmission, in-hospital and 30-day mortalities. Overall, 1394 consecutive patients (median age 80 years, IQR 69-86; F:M ratio 1.16:1) were included. Of these, 1341 (96.2%; median age 78 years, IQR 65-84; F:M ratio 1.17:1) had MCC. Fifty-three patients (3.8%) had no MCC, 286 (20.5%) had comorbidity, and 1055 (75.7%) had multimorbidity, showing a statistically significant (p < 0.001) increasing age trend (median age 38 years vs 71 vs 82, respectively) and increasing mean CIRS comorbidity index (1.53 ± 0.95 vs 2.97 ± 1.43 vs 4.09 ± 1.70, respectively). The CIRS comorbidity index was always higher in multimorbid patients, but only in the subgroups 75-84 years and ≥ 85 years was a significant (p < 0.001) difference (1.24 and 1.36, respectively) noticed. At multivariable analysis, age was always independently associated with in-hospital mortality (p = 0.002), 30-day mortality (p < 0.001), and 30-day readmission (p = 0.037), while comorbidity and multimorbidity were not. We conclude that age determines the most important differences between comorbid and multimorbid patients, as well as major outcomes, in a hospital setting.
Topics: Adult; Aged; Aged, 80 and over; Aging; Comorbidity; Hospital Mortality; Humans; Multimorbidity; Severity of Illness Index
PubMed: 34993840
DOI: 10.1007/s11739-021-02899-2 -
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 -
Epidemiologia E Prevenzione 2020This Monograph aims to provide the scientific community and the Regional Healthcare Service an up-to-date Atlas of mortality for the Campania Region (Southern Italy).... (Review)
Review
OBJECTIVES
This Monograph aims to provide the scientific community and the Regional Healthcare Service an up-to-date Atlas of mortality for the Campania Region (Southern Italy). The Atlas shows an overview of mortality through comparisons with national data and with intraregional macroareas. Maps presenting risk measures with municipal details are also provided.
MATERIALS AND METHODS
Both overall and cause-specific mortality data for the period 2006-2014 referred to people residing in Campania Region are analysed in this Atlas. Twenty-nine death causes (major causes and specific cancers) are studied; for each of them, it has been provided: • direct standardised rates (standard population EU 2013) referred to Italy, Campania Region, and the seven regional Local Health Units (LHUs); • standardised mortality ratios (SMRs), estimated on a regional basis, referred to every LHU; • years of life lost (number and rate) both on a regional and on LHU basis; • mortality rate trends for the period 2006-2014, including annual percentage changes (APCs) for Italy, Campania Region, and every LHU; • for every death cause, regional maps are provided also with municipal details for Relative Risks (RRs) and risk posterior probabilities (PPs) estimated through a Bayesian hierarchical model. Risk estimates are presented both crude and adjusted by socioeconomic deprivation index resulted from the 2011 Census of the Italian National Institute fo Statistics.
RESULTS
In Campania Region, standardised mortality ratios (per 100,000; IC95%) higher than the national average have been recorded for the following causes: all causes of death: M: 1,233.3 (IC95% 1,227.9-1,238.9) vs 1,093.8 (IC95% 1,092.5-1,095.1); F: 826.1 (IC95% 822.6-829.7) vs 722.8 (IC95% 721.9-732.6); digestive system diseases: M: 51.2 (IC95% 50.2-52.3) vs 44.2 (IC95% 44.0-44.5); F: 35.8 (IC95% 35.1-36.6) vs 29,2 (IC95% 29.0-29.4); circulatory system diseases: M: 493.1 (IC95% 489.6-496.8) vs 404.3 (IC95% 403.5-405.1); F: 388.5 (IC95% 386.1-390.9) vs 296.5 (IC95% 295.9-297.0); genitourinary system diseases: M: 27.2 (IC95% 26.4-28.1) vs 21.9- (IC95% 21.7-22.1); F: 18.2 (IC95% 17.7-18.7) vs 13.7- (IC95% 13.5-13.8); endocrine and metabolic diseases: M: 60.0 (IC95% 58.8-61.2) vs 43.8 (IC95% 43.5-44.0); F: 60.7 (IC95% 59.8-61.7) vs 36.6 (IC95% 36.4-36.8); myocardial infarction: M: 71.1 (IC95% 69.8-72.4) vs 60.9 (IC95% 60.6-61.2); F: 38.2 (IC95% 37.4-39.0) vs 30.2-(IC95% 30.0-30.4); diabetes: M: 52.6 (IC95% 51.5-53.8) vs 35.1 (IC95% 34.9-35.3); F: 53.8 (IC95% 52.9-54.7) vs 28.6 (IC95% 28.4-28.8). On the other hand, mortality rates comparable to or lower than the national average are observed for the remaining causes of death, with different differences for gender. Mortality for cancer causes in Campania Region presents rates higher than the rates observed at national level in males for the following causes: all cancers: 380.4 (IC95% 377.5-383.3) vs 356.5 (IC95% 355.8-357.2); lung cancer: 112.5 (IC95% 110.9/114.0) vs 93.0 (IC95% 92.6-93.3);larynx cancer: 7.6 (IC95% 7.2-8.0) vs 5.5 (IC95% 5.4-5.6);bladder cancer: 25.1 (IC95% 24.4-25.9) vs 17.3 (IC95% 17.1-17.4); in females for the following causes: liver cancer: 3.8 (IC95% 3.6-4.1) vs 3.3 (IC95% 3.2-3.4);bladder cancer:: 3.5 (IC95% 3.3-3.7) vs 3.0 (IC95% 2.9-3.0). In Campania Region, mortality rates comparable to or lower than the national average are observed for the remaining cancer causes both in females and in males. For almost all the death causes, the highest mortality rates are observed in the three LHUs of Naples (Naples centre, Naples 2 North, Naples 3 South); for some death causes, also the Province of Caserta presents the highest mortality rates. It is worth noting that these areas are characterised by the highest urbanisation and regional population density, and by exposures to possible environmental risks. Time trend analyses highlight that regional and national trends are similar for almost all the examined death causes. In Campania Region, males present decreasing trends for all-cause mortality; for respiratory system, circulatory system, and digestive system diseases; for all malignant cancers; for lung, prostate, and stomach cancers; for leukaemias. On the other hand, an increasing trend is shown for liver cancer. Trends for genitourinary system and nervous system diseases are almost unchanged; the same is for blood diseases and haemolymphopoietic system cancers. In females, there is a decreasing mortality trend for all causes, for circulatory system and digestive system diseases; for haemolymphopoietic system and stomach cancers; on the contrary, an increasing trend is highlighted for communicable diseases and lung and liver cancer, mirroring the national situation. Trends for respiratory system, genitourinary system, nervous system diseases; blood diseases; all malignant cancers; kidney and breast cancers; leukaemias are almost unchanged. The analysis of mortality data on municipal basis reported that the most excesses in mortality risk occur in the municipalities included in the area with the highest urban development of Naples and, partly, in the municipalities of the Caserta Province. The distribution of the excesses at municipal level is not homogeneous in Campania Region, but there are relevant intermunicipal differences related to the considered causes of death. This heterogeneity in the distribution of excess risk is a characteristic also of the area called Terra di fuochi (Land of fires), both for overall mortality and for mortality by gender.
CONCLUSIONS
Mortality data are a valuable support to the analysis of the population health conditions. Excesses in general mortality and for some specific causes found in Campania Region vs Italy in 2006-2014 suggest that in this region there is a need to implement more strict intervention in terms both of primary prevention (for individuals and the environment) and of management of the whole care and clinical pathway of some pathologies, bearing in mind the burden of regional structural and economic factors on these excesses. The highest excesses in mortality in Campania Region have been found in the areas with the highest degree of urbanisation: this confirms the national data of a different distribution of diseases - and mortality - in the areas characterised by high urban development compared to rural areas. Finally, cause-specific mortality maps at municipal level, extended to the whole region, could enable to identify possible critical issues which may need epidemiological studies focused on possible local factors of environmental pressure.
Topics: Cause of Death; Cities; Humans; Italy; Mortality
PubMed: 33565290
DOI: 10.19191/EP20.1.S1.P001.003 -
Journal of Epidemiology and Global... Sep 2019Georgia has one of the highest perinatal mortality rates (i.e., stillbirths and early neonatal deaths combined) in Europe. The Georgian Birth Registry was started in...
Georgia has one of the highest perinatal mortality rates (i.e., stillbirths and early neonatal deaths combined) in Europe. The Georgian Birth Registry was started in 2016 to provide data for preventive measures of maternal and child health. In this study, we aim to determine the incidence of perinatal mortality, assess the distribution of stillbirths and early neonatal deaths, and to determine the major causes of perinatal mortality in Georgia. Data sources were the Georgian Birth Registry and the vital registration system for the year 2017. Causes of early neonatal deaths were assigned into five categories, using the Wigglesworth classification with the Neonatal and Intrauterine deaths Classification according to Etiology modification. The study used descriptive statistics only, specifically counts, means, proportions, and rates, using the statistical software STATA version 15.0. (StataCorp, College Station, TX, USA). In 2017, 489 stillbirths and 238 early neonatal deaths were recorded, resulting in a perinatal mortality rate of 13.6 per 1000 births. About 80% of stillbirths had an unknown cause of death. The majority of stillbirths occurred before the start of labor (85%), and almost one-third were delivered by caesarean section (28%). Prematurity (58%) and congenital malformations (23%) were the main causes of early neonatal deaths, and 70% of early neonatal deaths occurred after the first day of life. The perinatal mortality rate in Georgia remained high in 2017. The major causes of early neonatal deaths were comparable to those of many high-income countries. Contrary to global data, most early neonatal deaths occurred after the first day of life.
Topics: Cause of Death; Female; Georgia (Republic); Humans; Incidence; Infant; Infant Mortality; Infant, Newborn; Male; Perinatal Death; Perinatal Mortality; Stillbirth
PubMed: 31529933
DOI: 10.2991/jegh.k.190818.001