Death rates in England and Wales and the United States: variation with age, sex, and race.
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ABSTRACT:
SUBMITTER: Jarman B
PROVIDER: S-EPMC535447 | biostudies-literature | 2004 Dec
REPOSITORIES: biostudies-literature
Publications
Death rates in England and Wales and the United States: variation with age, sex, and race.
BMJ (Clinical research ed.) 20041201 7479
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Project description:PurposeAIDs may disproportionately impact specific racial groups, but autoimmune (AID) prevalence information by minority racial group is sparse for many AIDs. The objective of this analysis was to supplement previously published AID prevalence rates by providing information on race rate ratios (minority race populations compared to Caucasian populations) in the United States. Preliminary to estimating race rate ratios, contemporary US-specific, health care utilization-based AID prevalence rates and female-to-male ratios were estimated and compared to previously published AID prevalence rates.MethodsWe used a large national electronic medical record database of 52 million individuals to estimate age-adjusted direct standardized rates for 22 AIDs for 2010 through 2016 by gender, race, and US census division. These were compared to previously published estimates.ResultsFemale-to-male ratios were comparable with published studies. Almost all observed Multiracial AID rates were significantly higher than Caucasian rates, as well as 9 of 22 AID rates observed among Native Americans and 8 of 22 AID rates estimated among African-American patients. Regional variation was noted: highest African-American systemic lupus erythematosus rates were observed in the West North Central and South Atlantic divisions, highest African-American multiple sclerosis rates in the South Atlantic and Pacific divisions, and highest Native American rheumatoid arthritis rates in the West North Central, Mountain, and Pacific divisions.ConclusionsSubstantial AID heterogeneity exists by race and by geographic area. An important research area is further exploring factors related to heterogeneity such as potential interactions between genetic susceptibility and environmental factors.
| S-EPMC6925958 | biostudies-literature
Project description:Given recent slowing of declines in national all-cause, heart disease, and stroke mortality, examining spatiotemporal distributions of coronary heart disease (CHD) death rates and trends can provide data critical to improving the cardiovascular health of populations. This paper documents county-level CHD death rates and trends by age group, race, and gender from 1979 through 2017. Using data from the National Vital Statistics System and a Bayesian multivariate space-time conditional autoregressive model, we estimated county-level age-standardized annual CHD death rates for 1979 through 2017 by age group (35-64 years, 65 years and older), race (white, black, other), and gender (men, women). We then estimated county-level total percent change in CHD death rates during four intervals (1979-1990, 1990-2000, 2000-2010, 2010-2017) using log-linear regression models. For all intervals, national CHD death rates declined for all groups. Prior to 2010, although most counties across age, race, and gender experienced declines, pockets of increasing CHD death rates were observed in the Mississippi Delta, Oklahoma, East Texas, and New Mexico across age groups and gender, and were more prominent among non-white populations than whites. Since 2010, across age, race, and gender, county-level declines in CHD death rates have slowed, with a marked increase in the percent of counties with increasing CHD death rates (e.g. 4.4% and 19.9% for ages 35 and older during 1979-1990 and 2010-2017, respectively). Recent increases were especially prevalent and geographically widespread among ages 35-64 years, with 40.5% of counties (95% CI: 38.4, 43.1) experiencing increases. Spatiotemporal differences in these long term, county-level results can inform responses by the public health community, medical providers, researchers, and communities to address troubling recent trends.
| S-EPMC7340306 | biostudies-literature
Project description:The role of sex, race, and suicide method on recent increases in suicide mortality in the United States remains unclear. Estimating the age, period, and cohort effects underlying suicide mortality trends can provide important insights for the causal hypothesis generating process. We generated updated age-period-cohort effect estimates of recent suicide mortality rates in the US, examining the putative roles of sex, race, and method for suicide, using data from all death certificates in the US between 1999 and 2018. After designating deaths as attributable to suicide according to ICD-10 underlying cause of death codes X60-X84, Y87.0, and U03, we (i) used hexagonal grids to describe rates of suicide by age, period, and cohort visually and (ii) modeled sex-, race-, and suicide method-specific age, period, and cohort effects. We found that, while suicide mortality increased in the US between 1999 and 2018 across age, sex, race, and suicide method, there was substantial heterogeneity in age and cohort effects by method, sex, and race, with a first peak of suicide risk in youth, a second peak in older ages-specific to male firearm suicide, and increased rates among younger cohorts of non-White individuals. Our findings should prompt discussion regarding age-specific clinical firearm safety interventions, drivers of minoritized populations' adverse early-life experiences, and racial differences in access to and quality of mental healthcare.
| S-EPMC8670065 | biostudies-literature
Project description:Although low neighborhood social cohesion (nSC) has been linked with poor sleep, studies of racially/ethnically diverse participants using multiple sleep dimensions remain sparse. Using National Health Interview Survey data, we examined overall, age, sex/gender, and racial/ethnic-specific associations between nSC and sleep health among 167,153 adults. Self-reported nSC was categorized into low, medium, and high. Very short sleep duration was defined as <6 hours; short as <7 h, recommended as 7-9 h, and long as ?9 h. Sleep disturbances were assessed based on trouble falling and staying asleep, waking up feeling unrested, and using sleep medication (all ?3 days/times in the previous week). Adjusting for sociodemographics and other confounders, we used Poisson regression with robust variance to estimate prevalence ratios (PRs) and 95% confidence intervals (CIs) for sleep dimensions by low and medium vs. high nSC. The mean age of the sample was 47 ± 0.1 years, 52% of those included were women, and 69% were Non-Hispanic (NH)-White. Low vs. high nSC was associated with a higher prevalence of very short sleep (PR = 1.29; (95% CI = 1.23-1.36)). After adjustment, low vs. high nSC was associated with very short sleep duration among NH-White (PR = 1.34 (95% CI = 1.26-1.43)) and NH-Black (PR = 1.14 (95% CI = 1.02-1.28)) adults. Low nSC was associated with shorter sleep duration and sleep disturbances.
| S-EPMC7767208 | biostudies-literature
Project description:The relevance of race and ethnicity to genetics and medicine has long been a matter of debate. An emerging consensus holds that race and ethnicity are social constructs and thus poor proxies for genetic diversity. The goal of this study was to evaluate the relationship between race, ethnicity, and clinically relevant pharmacogenomic variation in cosmopolitan populations. We studied racially and ethnically diverse cohorts of 65,120 participants from the United States All of Us Research Program (All of Us) and 31,396 participants from the United Kingdom Biobank (UKB). Genome-wide patterns of pharmacogenomic variation-6311 drug response-associated variants for All of Us and 5966 variants for UKB-were analyzed with machine learning classifiers to predict participants' self-identified race and ethnicity. Pharmacogenomic variation predicts race/ethnicity with averages of 92.1% accuracy for All of Us and 94.3% accuracy for UKB. Group-specific prediction accuracies range from 99.0% for the White group in UKB to 92.9% for the Hispanic group in All of Us. Prediction accuracies are substantially lower for individuals who identified with more than one group in All of Us (16.7%) or as Mixed in UKB (70.7%). There are numerous individual pharmacogenomic variants with large allele frequency differences between race/ethnicity groups in both cohorts. Frequency differences for toxicity-associated variants predict hundreds of adverse drug reactions per 1000 treated participants for minority groups in All of Us. Our results indicate that race and ethnicity can be used to stratify pharmacogenomic risk in the US and UK populations and should not be discounted when making treatment decisions. We resolve the contradiction between the results reported here and the orthodoxy of race and ethnicity as non-genetic, social constructs by emphasizing the distinction between global and local patterns of human genetic diversity, and we stress the current and future limitations of race and ethnicity as proxies for pharmacogenomic variation.
| S-EPMC10383154 | biostudies-literature
Project description:ImportanceDefining which populations are affected by basal cell carcinoma (BCC) vs cutaneous squamous cell carcinoma (cSCC) may inform targeted public health strategies. Incidence of BCC and cSCC is not reported to national cancer registries, but claims data for the treatment of BCC and cSCC provide insights into the epidemiology of keratinocyte carcinoma.ObjectiveTo define differences in the ratio of BCC to cSCC in adults (age, ≥18 years) in a large database of patients with commercial insurance and Medicare Advantage coverage.Design, setting, and participantsThis cross-sectional analysis used deidentified data derived from the Optum Clinformatics Data Mart to perform a retrospective evaluation of a large commercially insured cohort based on treatment claims from January 1, 2012, to December 31, 2016. Patients with a diagnosed and treated BCC or cSCC as determined by codes from the International Classification of Diseases, Ninth Revision, International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, and Current Procedural Terminology were included. Data were analyzed from November 30, 2019, to March 20, 2020.ExposureDiagnosis and treatment of BCC or cSCC.Main outcomes and measuresThe ratio of BCC to cSCC based on age, sex, race, and geographic location. Multivariable logistic regression was used to assess how demographics were associated with the odds of a treated keratinocyte carcinoma being a BCC.ResultsAmong the 985 317 claims for patients included in the analysis (61.59% for men; mean [SD] age, 69.82 [12.58] years), BCCs were 1.69 (95% CI, 1.6899-1.6901) times more likely than cSCCs to be treated in the United States from 2012 to 2016. Basal cell carcinomas were significantly more prevalent than cSCCs in younger patients (18-39 years, 9.63 [95% CI, 9.6088-9.6574] BCCs per cSCC; 40-64 years, 2.92 [95% CI, 2.9171-2.9187] BCCs per cSCC; and ≥65 years, 1.33 [95% CI, 1.3289-1.3291] BCCs per cSCC; P < .001). Basal cell carcinomas were significantly more prevalent than cSCCs in women vs men, except in adults 65 years or older (odds ratios [ORs], 0.98 [95% CI, 0.97-0.99] vs 1.67 [95% CI, 1.47-1.88] for those aged 18-39 and 1.15 [95% CI, 1.12-1.19] for those aged 40-64 years; P < .001). The difference in BCC:cSCC ratios between men and women diminished with increasing age (OR, 1.67 for 18-39 years, 1.15 for 40-64 years, and 0.98 for 65 years or older). Basal cell carcinoma was more prevalent than cSCC in all races, including Black patients (BCC:SCC ratios, 1.60 for Asian patients, 1.45 for Black patients, 2.00 for Hispanic patients, and 1.69 for White patients of all ages). The BCC:cSCC ratio varied based on geography, with the highest ratio in the West North Central census division (2.12) and the lowest ratio in the South Atlantic census division (1.35).Conclusions and relevanceIn the absence of a national registry, claims data can improve our understanding of the epidemiology of keratinocyte carcinomas. In this cross-sectional study, basal cell carcinomas were more common than cSCCs for all demographics, including in Black patients. In populations younger than 40 years, BCCs were 12.6 times more likely for women and 7.2 times more likely for men. These demographic groups may benefit from public health education focused on the presentation and management of BCCs.
| S-EPMC7450404 | biostudies-literature
Project description:ObjectiveTo address the issue of limited national data on the prevalence and distribution of underlying conditions among COVID-19 deaths between sexes and across age groups.Patients and methodsAll adult (≥18 years) deaths recorded in England and Wales (March 1, 2020, to May 12, 2020) were analyzed retrospectively. We compared the prevalence of underlying health conditions between COVID and non-COVID-related deaths during the COVID-19 pandemic and the age-standardized mortality rate (ASMR) of COVID-19 compared with other primary causes of death, stratified by sex and age group.ResultsOf 144,279 adult deaths recorded during the study period, 36,438 (25.3%) were confirmed COVID deaths. Women represented 43.2% (n=15,731) of COVID deaths compared with 51.9% (n=55,980) in non-COVID deaths. Overall, COVID deaths were younger than non-COVID deaths (82 vs 83 years). ASMR of COVID-19 was higher than all other common primary causes of death, across age groups and sexes, except for cancers in women between the ages of 30 and 79 years. A linear relationship was observed between ASMR and age among COVID-19 deaths, with persistently higher rates in men than women across all age groups. The most prevalent reported conditions were hypertension, dementia, chronic lung disease, and diabetes, and these were higher among COVID deaths. Pre-existing ischemic heart disease was similar in COVID (11.4%) and non-COVID (12%) deaths.ConclusionIn a nationwide analysis, COVID-19 infection was associated with higher age-standardized mortality than other primary causes of death, except cancer in women of select age groups. COVID-19 mortality was persistently higher in men and increased with advanced age.
| S-EPMC7377724 | biostudies-literature
Project description:We use data on police-involved deaths to estimate how the risk of being killed by police use of force in the United States varies across social groups. We estimate the lifetime and age-specific risks of being killed by police by race and sex. We also provide estimates of the proportion of all deaths accounted for by police use of force. We find that African American men and women, American Indian/Alaska Native men and women, and Latino men face higher lifetime risk of being killed by police than do their white peers. We find that Latina women and Asian/Pacific Islander men and women face lower risk of being killed by police than do their white peers. Risk is highest for black men, who (at current levels of risk) face about a 1 in 1,000 chance of being killed by police over the life course. The average lifetime odds of being killed by police are about 1 in 2,000 for men and about 1 in 33,000 for women. Risk peaks between the ages of 20 y and 35 y for all groups. For young men of color, police use of force is among the leading causes of death.
| S-EPMC6708348 | biostudies-literature
Project description:BackgroundCOVID-19 quickly overwhelmed the world, but disproportionately affects certain communities, particularly minority groups. Despite overrepresentation among COVID-19 cases and death, minority groups were underrepresented in some of the early COVID-19 clinical trials.ObjectiveTo assess and compare the demographic characteristics of COVID-19 clinical trial participants to national COVID-19 data.MethodsPubMed was searched from December 1, 2019 to November 24, 2020, for randomized controlled trials evaluating a pharmacologic treatment for COVID-19 patients from one or more U.S. sites written in the English language following the PRISMA checklist. Descriptive statistics were calculated to characterize patient demographics enrolled in the included clinical trials, as well as for comparison with national COVID-19 data.ResultsA total of 4472 records were identified, of which 16 studies were included. The median number of participants was higher in studies of nonhospitalized patients compared to those of hospitalized patients (n = 452 [range 20-1062] vs n = 243 [152-2795]). Ten (63%) studies reported mean or median ages of 50 years or older among all study arms. Males comprised more than half of the study cohort in ten (63%) studies. Race and ethnicity were reported separately in four (25%) studies but were combined when reported in five (31%) studies, while six (38%) reported only race or ethnicity. Proportional representation based on age, sex, race, and ethnicity was evident in some trials, but not in others, when compared to national data.ConclusionOverall, participants often did not reflect the actual population with COVID-19 and demographic characteristics were inconsistently reported.
| S-EPMC9642036 | biostudies-literature
Project description:BackgroundWilson (1987) argued that race differences in the frequency of marriage from the 1960s to the 1980s resulted from a shortage of marriageable men in the Black community. A large literature used spatially defined measures of male marriageability to predict marriage rates of women. These studies concluded that the availability of marriageable men can explain only a fraction of race differences in marriage. I argue that this finding may reflect errors in the measurement of the availability of marriageable spouses.MethodsMy analysis assesses marriage rates from the perspective of men instead of women, allowing direct assessment of men's economic positions without resorting to fuzzy spatial indicators. I develop new measures of first marriage rates for the 1960-1980 censuses and combine them with survey-based measures for 2008-2019. I use classic decomposition methods to assess the changing relationship of economic composition to race differences in male first marriage rates over the 1960-2019 period.ResultsThe analysis shows that in the mid- to late 20th century, race differences in economic composition were sufficiently large to account for most race differences in first marriage rates, but the size of the economic component declined dramatically over time.ConclusionsWith the decline of male-breadwinner families since the late 20th century, the role of male economic circumstances for race differences in marriage rates has diminished, but it remains substantial.ContributionLeveraging a new research strategy and a new measure of first marriage, this analysis provides a consistent decomposition of race differences in first marriage rates over six decades.
| S-EPMC9980877 | biostudies-literature