ABSTRACT
There is growing need to distinguish between sex and gender. While sex is assigned at birth, gender is socially constructed and may not correspond to one's assigned sex. However, in most research studies, sex or gender is assessed in isolation or the terms are used interchangeably, which has implications for research accuracy and inclusivity. We used data from the UK Biobank to quantify the prevalence of disagreement between chromosomal and self-reported sex and identify potential reasons for discordance. Among approximately 200 individuals with sex discordance, 71% of discordances were potentially explained by the presence of intersex traits or transgender identity. The findings indicate that when describing sex- and/or gender-specific differences in health, researchers may be limited in their ability to draw conclusions regarding specific sex and/or gender health information.
Subject(s)
Disorders of Sex Development , Transgender Persons , Male , Female , Infant, Newborn , Humans , Self Report , Biological Specimen Banks , Data Collection , United Kingdom , Gender IdentityABSTRACT
As research documenting disparate impacts of COVID-19 by race and ethnicity grows, little attention has been given to dynamics in mortality disparities during the pandemic and whether changes in disparities persist. We estimate age-standardized monthly all-cause mortality in the United States from January 2018 through February 2022 for seven racial/ethnic populations. Using joinpoint regression, we quantify trends in race-specific rate ratios relative to non-Hispanic White mortality to examine the magnitude of pandemic-related shifts in mortality disparities. Prepandemic disparities were stable from January 2018 through February 2020. With the start of the pandemic, relative mortality disadvantages increased for American Indian or Alaska Native (AIAN), Native Hawaiian or other Pacific Islander (NHOPI), and Black individuals, and relative mortality advantages decreased for Asian and Hispanic groups. Rate ratios generally increased during COVID-19 surges, with different patterns in the summer 2021 and winter 2021/2022 surges, when disparities approached prepandemic levels for Asian and Black individuals. However, two populations below age 65 fared worse than White individuals during these surges. For AIAN people, the observed rate ratio reached 2.25 (95% CI = 2.14, 2.37) in October 2021 vs. a prepandemic mean of 1.74 (95% CI = 1.62, 1.86), and for NHOPI people, the observed rate ratio reached 2.12 (95% CI = 1.92, 2.33) in August 2021 vs. a prepandemic mean of 1.31 (95% CI = 1.13, 1.49). Our results highlight the dynamic nature of racial/ethnic disparities in mortality and raise alarm about the exacerbation of mortality inequities for Indigenous groups due to the pandemic.
Subject(s)
COVID-19 , Health Status Disparities , Mortality , Asian People , Black People , COVID-19/epidemiology , Ethnicity , Hispanic or Latino , Humans , Mortality/ethnology , Native Hawaiian or Other Pacific Islander , Pandemics , Racial Groups , United States/epidemiology , White People , American Indian or Alaska NativeABSTRACT
Polysocial risk scores were recently proposed as a strategy to improve clinical relevance of knowledge about social determinants of health. The objective of this paper was to assess if the polysocial risk score model improves prediction of cognition and all-cause mortality in middle-aged and older adults beyond simpler models including a smaller set of key social determinants of health. We used a sample of 13,773 individuals aged 50+ at baseline from the 2006 to 2018 waves of the Health and Retirement Study, a US population-based longitudinal cohort. Four linear mixed models were compared: two simple models including a priori selected covariates and two polysocial risk score models which used LASSO regularization to select covariates among 9 or 21 candidate social predictors. All models included age. Predictive accuracy was assessed via R-squared and root mean-squared prediction error (RMSPE) using training/test split and cross-validation. For predicting cognition, the simple model including age, race, gender, and education had an R-squared of 0.31 and an RMSPE of 0.880. Compared with this, the most complex polysocial risk score selected 12 predictors (R-squared=0.35 and RMSPE=0.858; 2.2% improvement). For all-cause mortality, the simple model including age, race, gender, and education had an AUROC of 0.747, while the most complex polysocial risk score did not demonstrate improved performance (AUROC = 0.745). Models built on a smaller set of key social determinants performed comparably to models built on a more complex set of social "risk factors".
ABSTRACT
Gentrification is associated with decreases in neighborhood poverty and crime, increases in amenities and services, among other benefits-all identified as structural determinants of health. However, gentrification is also associated with population-level replacement of the existing community, or threats thereof. Combining census data from the ten largest MSAs in the U.S. with tract-level estimates from the CDC-PLACES Project from 2013-14 to 2017-18, we explore how the changing socioeconomic conditions in gentrifying neighborhoods correlate with changes in neighborhood health. We find significant differences between gentrifying and non-gentrifying neighborhoods in their associations with neighborhood health. The sociodemographic changes occurring in gentrifying neighborhoods generally correspond with simultaneous decreases in aggregate health risk behaviors and negative health outcomes. However, these changes are heterogeneous and complex. Whether and how neighborhood health changes alongside other components of neighborhood change depends on whether gentrification occurs in majority Black, Hispanic, or White neighborhoods. Our findings provide preliminary evidence that the changes accompanying gentrification extend to neighborhood health, but the direction of influence varies by neighborhood composition, type of sociodemographic change, specific health outcome, and spatial spillover. We discuss theoretical implications for future work addressing the mechanisms driving changes in neighborhood health, and potential approaches that differentiate policy responses.
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Objectives. To project the range of excess deaths potentially associated with COVID-19-related unemployment in the United States and quantify inequities in these estimates by age, race/ethnicity, gender, and education.Methods. We used previously published meta-analyzed hazard ratios (HRs) for the unemployment-mortality association, unemployment data from the Bureau of Labor Statistics, and mortality data from the National Center for Health Statistics to estimate 1-year age-standardized deaths attributable to COVID-19-related unemployment for US workers aged 25 to 64 years. To accommodate uncertainty, we tested ranges of unemployment and HR scenarios.Results. Our best estimate is that there will be 30 231 excess deaths attributable to COVID-19-related unemployment between April 2020 and March 2021. Across scenarios, attributable deaths ranged from 8315 to 201 968. Attributable deaths were disproportionately high among Blacks, men, and those with low education.Conclusions. Deaths attributable to COVID-19-related unemployment will add to those directly associated with the virus and will disproportionately burden groups already experiencing incommensurate COVID-19 mortality.Public Health Implications. Supportive economic policies and interventions addressing long-standing harmful social structures are essential to mitigate the unequal health harms of COVID-19.
Subject(s)
COVID-19/mortality , Cause of Death , Ethnicity/statistics & numerical data , Unemployment/statistics & numerical data , Adult , Age Factors , Educational Status , Humans , Male , Middle Aged , Racial Groups , Sex Factors , United StatesABSTRACT
BACKGROUND: COVID-19 mortality occurred unevenly across U.S. demographic subgroups, leaving some communities harder hit than others. Black and Hispanic/Latino older adults are among those disproportionately affected by COVID-19 mortality, and in turn, COVID-19 bereavement. Because disparities in COVID-19 mortality may extend to COVID-19 bereavement, it is important to understand the incidence of COVID-19 bereavement among older adults at various degrees of relational closeness (e.g., spouse vs. household member vs. friend). METHODS: We used the National Social Health and Aging Project (NSHAP) COVID Study to evaluate disparities in loss of a social network member to COVID-19 among U.S. older adults by race/ethnicity, language, and relational closeness. Multiple logistic regression was used to estimate the likelihood of experiencing a COVID-19 death in one's social network. RESULTS: None of the English-speaking, non-Hispanic White respondents reported the loss of a household member or spouse to COVID-19. English-speaking, non-Hispanic Black and English-speaking, Hispanic older adults were overrepresented in reporting a death at every degree of relational closeness. However, close COVID-19 bereavement was most prevalent among Spanish-speaking older adults of any race. Although Spanish speakers comprised only 4.8% of the sample, half of the respondents who lost a spouse to COVID-19 were Spanish speakers. Language and ethnoracial group disparities persisted after controlling for age, sex, marital status, and education. CONCLUSIONS: Known ethnoracial disparities in COVID-19 mortality extend to COVID-19 bereavement among older adults. Because bereavement impacts health, Black, Latino, and Spanish-speaking communities need greater protection and investment to prevent disparities in bereavement from exacerbating disparities in later-life mental and physical health.
Subject(s)
Bereavement , COVID-19 , Humans , COVID-19/mortality , COVID-19/ethnology , Aged , Female , Male , United States/epidemiology , Hispanic or Latino/psychology , Hispanic or Latino/statistics & numerical data , Aged, 80 and over , SARS-CoV-2 , Black or African American/psychology , Black or African American/statistics & numerical dataABSTRACT
OBJECTIVES: In this study, we examine the measurement of cognition in different racial/ethnic groups to move towards a less biased and more inclusive set of measures for capturing cognitive change and decline in older adulthood. METHODS: We use data from Round 2 (N=3377) and Round 3 (N=4777) of the National Social Life, Health, and Aging Project (NSHAP) and examine the study's Survey Adjusted version of the Montreal Cognitive Assessment (MoCA-SA). We employ exploratory factor analyses to explore configural invariance by racial/ethnic group. Using modification indexes, two-parameter item response theory models, and split-sample testing, we identify items that seem robust to bias by race. We test the predictive validity of the full (18-item) and short (4-item) MoCA-SAs using self-reported dementia diagnosis, instrumental activities of daily living (IADLs), proxy reports of dementia, proxy reports of dementia-related death, and National Death Index reports of dementia-related death. RESULTS: We found that four measures out of the 18 used in NSHAP's MoCA-SA formed a scale that was more robust to racial bias. The shortened form predicted consequential outcomes as well as NSHAP's full MoCA-SA. The short form was also moderately correlated with the full form. DISCUSSION: Although sophisticated structural equation modeling techniques would be preferrable for assuaging measurement invariance by race in NSHAP, the shortened form of the MoCA-SA provides a quick way for researchers to carry out robustness checks and to see if the disparities and associations by race they document are "real" or the product of artifactual bias.
ABSTRACT
Importance: Adults with Alzheimer disease and related dementias (ADRD) are particularly vulnerable to the direct and indirect effects of the COVID-19 pandemic. Deaths associated with ADRD increased substantially in pandemic year 1. It is unclear whether mortality associated with ADRD declined when better prevention strategies, testing, and vaccines became widely available in year 2. Objective: To compare pandemic-era excess deaths associated with ADRD between year 1 and year 2 overall and by age, sex, race and ethnicity, and place of death. Design, Setting, and Participants: This time series analysis used all death certificates of US decedents 65 years and older with ADRD as an underlying or contributing cause of death from January 2014 through February 2022. Exposure: COVID-19 pandemic era. Main Outcomes and Measures: Pandemic-era excess deaths associated with ADRD were defined as the difference between deaths with ADRD as an underlying or contributing cause observed from March 2020 to February 2021 (year 1) and March 2021 to February 2022 (year 2) compared with expected deaths during this period. Expected deaths were estimated using data from January 2014 to February 2020 fitted with autoregressive integrated moving average models. Results: Overall, 2â¯334â¯101 death certificates were analyzed. A total of 94â¯688 (95% prediction interval [PI], 84â¯192-104â¯890) pandemic-era excess deaths with ADRD were estimated in year 1 and 21â¯586 (95% PI, 10â¯631-32â¯450) in year 2. Declines in ADRD-related deaths in year 2 were substantial for every age, sex, and racial and ethnic group evaluated. Pandemic-era ADRD-related excess deaths declined among nursing home/long-term care residents (from 34â¯259 [95% PI, 25â¯819-42â¯677] in year 1 to -22â¯050 [95% PI, -30â¯765 to -13â¯273] in year 2), but excess deaths at home remained high (from 34â¯487 [95% PI, 32â¯815-36â¯142] in year 1 to 28â¯804 [95% PI, 27â¯067-30â¯571] in year 2). Conclusions and Relevance: This study found that large increases in mortality with ADRD as an underlying or contributing cause of death occurred in COVID-19 pandemic year 1 but were largely mitigated in pandemic year 2. The most pronounced declines were observed for deaths in nursing home/long-term care settings. Conversely, excess deaths at home and in medical facilities remained high in year 2.
Subject(s)
Alzheimer Disease , COVID-19 , Adult , Humans , PandemicsABSTRACT
Importance: Prior research has established that Hispanic and non-Hispanic Black residents in the US experienced substantially higher COVID-19 mortality rates in 2020 than non-Hispanic White residents owing to structural racism. In 2021, these disparities decreased. Objective: To assess to what extent national decreases in racial and ethnic disparities in COVID-19 mortality between the initial pandemic wave and subsequent Omicron wave reflect reductions in mortality vs other factors, such as the pandemic's changing geography. Design, Setting, and Participants: This cross-sectional study was conducted using data from the US Centers for Disease Control and Prevention for COVID-19 deaths from March 1, 2020, through February 28, 2022, among adults aged 25 years and older residing in the US. Deaths were examined by race and ethnicity across metropolitan and nonmetropolitan areas, and the national decrease in racial and ethnic disparities between initial and Omicron waves was decomposed. Data were analyzed from June 2021 through March 2023. Exposures: Metropolitan vs nonmetropolitan areas and race and ethnicity. Main Outcomes and Measures: Age-standardized death rates. Results: There were death certificates for 977â¯018 US adults aged 25 years and older (mean [SD] age, 73.6 [14.6] years; 435â¯943 female [44.6%]; 156â¯948 Hispanic [16.1%], 140â¯513 non-Hispanic Black [14.4%], and 629â¯578 non-Hispanic White [64.4%]) that included a mention of COVID-19. The proportion of COVID-19 deaths among adults residing in nonmetropolitan areas increased from 5944 of 110â¯526 deaths (5.4%) during the initial wave to a peak of 40â¯360 of 172â¯515 deaths (23.4%) during the Delta wave; the proportion was 45â¯183 of 210â¯554 deaths (21.5%) during the Omicron wave. The national disparity in age-standardized COVID-19 death rates per 100â¯000 person-years for non-Hispanic Black compared with non-Hispanic White adults decreased from 339 to 45 deaths from the initial to Omicron wave, or by 293 deaths. After standardizing for age and racial and ethnic differences by metropolitan vs nonmetropolitan residence, increases in death rates among non-Hispanic White adults explained 120 deaths/100â¯000 person-years of the decrease (40.7%); 58 deaths/100â¯000 person-years in the decrease (19.6%) were explained by shifts in mortality to nonmetropolitan areas, where a disproportionate share of non-Hispanic White adults reside. The remaining 116 deaths/100â¯000 person-years in the decrease (39.6%) were explained by decreases in death rates in non-Hispanic Black adults. Conclusions and Relevance: This study found that most of the national decrease in racial and ethnic disparities in COVID-19 mortality between the initial and Omicron waves was explained by increased mortality among non-Hispanic White adults and changes in the geographic spread of the pandemic. These findings suggest that despite media reports of a decline in disparities, there is a continued need to prioritize racial health equity in the pandemic response.
Subject(s)
COVID-19 , Adult , Aged , Female , Humans , Black People/statistics & numerical data , COVID-19/epidemiology , COVID-19/ethnology , COVID-19/mortality , Cross-Sectional Studies , Ethnicity/statistics & numerical data , Hispanic or Latino/statistics & numerical data , Black or African American/statistics & numerical data , White/statistics & numerical data , United States/epidemiology , Health Status Disparities , Middle Aged , Aged, 80 and over , Male , Health Equity , Systemic Racism/ethnologyABSTRACT
COVID-19 mortality has disproportionately affected specific occupations and industries. The Occupational Safety and Health Administration (OSHA) protects the health and safety of workers by setting and enforcing standards for working conditions. Workers may file OSHA complaints about unsafe conditions. Complaints may indicate poor workplace safety during the pandemic. We evaluated COVID-19-related complaints filed with California (Cal)/OSHA between January 1, 2020 and December 14, 2020 across seven industries. To assess whether workers in occupations with high COVID-19-related mortality were also most likely to file Cal/OSHA complaints, we compared industry-specific per-capita COVID-19 confirmed deaths from the California Department of Public Health with COVID-19-related complaints. Although 7820 COVID-19-related complaints were deemed valid by Cal/OSHA, only 627 onsite inspections occurred, and 32 citations were issued. Agricultural workers had the highest per-capita COVID-19 death rates (402 per 100,000 workers) but were least represented among workplace complaints (44 per 100,000 workers). Health Care workers had the highest complaint rates (81 per 100,000 workers) but the second lowest COVID-19 death rate (81 per 100,000 workers). Industries with the highest inspection rates also had high COVID-19 mortality. Our findings suggest complaints are not proportional to COVID-19 risk. Instead, higher complaint rates may reflect worker groups with greater empowerment, resources, or capacity to advocate for better protections. This capacity to advocate for safe workplaces may account for relatively low mortality rates in potentially high-risk occupations. Future research should examine factors determining worker complaints and complaint systems to promote participation of those with the greatest need of protection.
ABSTRACT
Importance: Racial and ethnic inequities in COVID-19 mortality may be driven by occupation and education, but limited evidence has assessed these mechanisms. Objective: To estimate whether occupational characteristics or educational attainment explained the associations between race and ethnicity and COVID-19 mortality. Design, Setting, and Participants: This population-based retrospective cohort study of Californians aged 18 to 65 years linked COVID-19 deaths to population estimates within strata defined by race and ethnicity, gender, age, nativity in the US, region of residence, education, and occupation. Analysis was conducted from September 2020 to February 2022. Exposures: Education and occupational characteristics associated with COVID-19 exposure (essential sector, telework option, wages). Main Outcomes and Measures: All confirmed COVID-19 deaths in California through February 12, 2021. The study estimated what COVID-19 mortality would have been if each racial and ethnic group had (1) the COVID-19 mortality risk associated with the education and occupation distribution of White people and (2) the COVID-19 mortality risk associated with the lowest-risk educational and occupational positions. Results: Of 25â¯235â¯092 participants (mean [SD] age, 40 [14] years; 12â¯730â¯395 [50%] men), 14â¯783 died of COVID-19, 8â¯125â¯565 (32%) had a Bachelor's degree or higher, 13â¯345â¯829 (53%) worked in essential sectors, 11â¯783â¯017 (47%) could not telework, and 12â¯812â¯095 (51%) had annual wages under $51â¯700. COVID-19 mortality ranged from 15 deaths per 100â¯000 for White women and Asian women to 139 deaths per 100â¯000 for Latinx men. Accounting for differences in age, nativity, and region of residence, if all races and ethnicities had the COVID-19 mortality associated with the occupational characteristics of White people (sector, telework, wages), COVID-19 mortality would be reduced by 10% (95% CI, 6% to 14%) for Latinx men, but increased by 5% (95% CI, -8% to 17%) for Black men. If all working-age Californians had the COVID-19 mortality associated with the lowest-risk educational and occupational position (Bachelor's degree, nonessential, telework, and highest wage quintile), there would have been 43% fewer COVID-19 deaths among working-age adults (8441 fewer deaths; 95% CI, 32%-54%), with the largest absolute risk reductions for Latinx men (3755 deaths averted; 95% CI, 3304-4255 deaths) and Latinx women (2329 deaths averted; 95% CI, 2038-2621 deaths). Conclusions and Relevance: In this population-based cohort study of working-age California adults, occupational disadvantage was associated with excess COVID-19 mortality for Latinx men. For all racial and ethnic groups, excess risk associated with low-education, essential, on-site, and low-wage jobs accounted for a substantial fraction of COVID-19 mortality.
Subject(s)
COVID-19 , Adult , California/epidemiology , Cohort Studies , Ethnicity , Female , Humans , Male , Occupations , Retrospective StudiesABSTRACT
INTRODUCTION: Understanding educational patterns in excess mortality during the coronavirus disease 2019 (COVID-19) pandemic may help to identify strategies to reduce disparities. It is unclear whether educational inequalities in COVID-19 mortality have persisted throughout the pandemic, spanned the full range of educational attainment, or varied by other demographic indicators of COVID-19 risks, such as age or occupation. METHODS: This study analyzed individual-level California Department of Public Health data on deaths occurring between January 2016 and February 2021 among individuals aged ≥25 years (1,502,202 deaths). Authors applied ARIMA (autoregressive integrated moving average) models to subgroups defined by the highest level of education and other demographics (age, sex, race/ethnicity, U.S. nativity, occupational sector, and urbanicity). Authors estimated excess deaths (the number of observed deaths minus the number of deaths expected to occur under the counterfactual of no pandemic) and excess deaths per 100,000 individuals. RESULTS: Educational inequalities in excess mortality emerged early in the pandemic and persisted throughout the first year. The greatest per-capita excess occurred among people without high-school diplomas (533 excess deaths/100,000), followed by those with a high-school diploma but no college (466/100,000), some college (156/100,000), and bachelor's degrees (120/100,000), and smallest among people with graduate/professional degrees (101/100,000). Educational inequalities occurred within every subgroup examined. For example, per-capita excess mortality among Latinos with no college experience was 3.7 times higher than among Latinos with at least some college experience. CONCLUSIONS: Pervasive educational inequalities in excess mortality during the pandemic suggest multiple potential intervention points to reduce disparities.
Subject(s)
COVID-19 , Pandemics , Humans , Educational Status , Ethnicity , California/epidemiologyABSTRACT
BACKGROUND: During the first year of the COVID-19 pandemic, workers in essential sectors had higher rates of SARS-CoV-2 infection and COVID-19 mortality than those in non-essential sectors. It is unknown whether disparities in pandemic-related mortality across occupational sectors have continued to occur during the periods of SARS-CoV-2 variants and vaccine availability. METHODS: In this longitudinal cohort study, we obtained data from the California Department of Public Health on all deaths occurring in the state of California, USA, from Jan 1, 2016, to Dec 31, 2021. We restricted our analysis to residents of California who were aged 18-65 years at time of death and died of natural causes. We classified the occupational sector into nine essential sectors; non-essential; or unemployed or without an occupation provided on the death certificate. We calculated the number of COVID-19 deaths in total and per capita that occurred in each occupational sector. Separately, using autoregressive integrated moving average models, we estimated total, per-capita, and relative excess natural-cause mortality by week between March 1, 2020, and Nov 30, 2021, stratifying by occupational sector. We additionally stratified analyses of occupational risk into counties with high versus low vaccine uptake, categorising high-uptake regions as counties where at least 50% of the population were fully vaccinated according to US guidelines by Aug 1, 2021. FINDINGS: From March 1, 2020, to Nov 30, 2021, 24â799 COVID-19 deaths were reported in residents of California aged 18-65 years and an estimated 28â751 (95% prediction interval 27â853-29â653) excess deaths. People working in essential sectors were associated with higher COVID-19 deaths and excess deaths than were those working in non-essential sectors, with the highest per-capita COVID-19 mortality in the agriculture (131·8 per 100â000 people), transportation or logistics (107·1 per 100â000), manufacturing (103·3 per 100â000), facilities (101·1 per 100â000), and emergency (87·8 per 100â000) sectors. Disparities were wider during periods of increased infections, including during the Nov 29, 2020, to Feb 27, 2021, surge in infections, which was driven by the delta variant (B.1.617.2) and occurred during vaccine uptake. During the June 27 to Nov 27, 2021 surge, emergency workers had higher COVID-19 mortality (113·7 per 100â000) than workers from any other sector. Workers in essential sectors had the highest COVID-19 mortality in counties with low vaccination uptake, a difference that was more pronounced during the period of the delta infection surge during Nov 29, 2020, to Feb 27, 2021. INTERPRETATION: Workers in essential sectors have continued to bear the brunt of high COVID-19 and excess mortality throughout the pandemic, particularly in the agriculture, emergency, manufacturing, facilities, and transportation or logistics sectors. This high death toll has continued during periods of vaccine availability and the delta surge. In an ongoing pandemic without widespread vaccine coverage and with anticipated threats of new variants, the USA must actively adopt policies to more adequately protect workers in essential sectors. FUNDING: US National Institute on Aging, Swiss National Science Foundation, and US National Institute on Drug Abuse.
Subject(s)
COVID-19 , Vaccines , California/epidemiology , Cohort Studies , Humans , Longitudinal Studies , Pandemics , SARS-CoV-2ABSTRACT
Excess mortality has exceeded reported deaths from Covid-19 during the pandemic. This gap may be attributable to deaths that occurred among individuals with undiagnosed Covid-19 infections or indirect consequences of the pandemic response such as interruptions in medical care; distinguishing these possibilities has implications for public health responses. In the present study, we examined patterns of excess mortality over time and by setting (in-hospital or out-of-hospital) and cause of death using death certificate data from California. The estimated number of excess natural-cause deaths from 2020 March 1 to 2021 February 28 (69,182) exceeded the number of Covid-19 diagnosed deaths (53,667) by 29%. Nearly half, 47.4% (32,775), of excess natural-cause deaths occurred out of the hospital, where only 28.6% (9,366) of excess mortality was attributed to Covid-19. Over time, increases or decreases in excess natural non-Covid-19 mortality closely mirrored increases or decreases in Covid-19 mortality. The time series were positively correlated in out-of-hospital settings, particularly at time lags when excess natural-cause deaths preceded reported Covid-19 deaths; for example, when comparing Covid-19 deaths to excess natural-cause deaths in the week prior, the correlation was 0.73. The strong temporal association of reported Covid-19 deaths with excess out-of-hospital deaths from other reported natural-cause causes suggests Covid-19 deaths were undercounted during the first year of the pandemic.
ABSTRACT
OBJECTIVE: Retirement is a potential trigger for cognitive aging as it may be a stressful life event accompanied by changes in everyday activities. However, the consequences of retirement may differ across institutional contexts which shape retirement options. Comparing memory trajectories before and after retirement in 17 European countries, this study aims to identify cross-national differences in the association between retirement and memory decline. METHOD: Respondents to the longitudinal Survey of Health, Aging, and Retirement in Europe (SHARE; N = 8,646) aged 50+ who were in paid work at baseline and retired during the observation period completed up to 6 memory assessments (immediate and delayed word recall) over 13 years. Three-level (time points, individuals, and countries) linear mixed models with country-level random slopes for retirement were estimated to evaluate whether memory decline accelerated after retirement and if this association differed between countries. RESULTS: On average, retirement was associated with a moderate decrement in word recall (b = -0.273, 95% CI -0.441, -0.104) and memory decline accelerated after retirement (b = -0.044, 95% CI -0.070, -0.018). Significant between-country heterogeneity in memory decline after retirement existed (variance = 0.047, 95% CI (0.013, 0.168). Memory decline after retirement was more rapid in Italy, Greece, Czech Republic, Poland, Portugal, and Estonia compared to Northern and Central European countries. DISCUSSION: Memory decline postretirement was faster in Mediterranean and eastern European countries, which are characterized by less generous welfare systems with comparatively low pension benefits. Evaluation of resources that could protect retirees from memory decline would be valuable.
Subject(s)
Aging/psychology , Cognitive Aging/psychology , Memory Disorders , Retirement , Stress, Psychological , Aged , Cross-Cultural Comparison , Europe/epidemiology , Female , Health Status Disparities , Humans , Life Change Events , Longitudinal Studies , Male , Memory Disorders/diagnosis , Memory Disorders/epidemiology , Memory Disorders/psychology , Mental Status and Dementia Tests/statistics & numerical data , Middle Aged , Needs Assessment , Pensions/statistics & numerical data , Retirement/psychology , Retirement/statistics & numerical data , Stress, Psychological/epidemiology , Stress, Psychological/etiologyABSTRACT
OBJECTIVES: This study was aimed to describe the interviewer-assessed measures present in the 2015/2016 Round of National Social Life, Health, and Aging Project (NSHAP), outline strengths of interviewer-assessed measures, and explore how interviewer assessments in the domains of home environment and personal characteristics are associated with older adult health. METHOD: Data come from the 2015/2016 Round of the NSHAP. RESULTS: We provide descriptive results from the interviewer assessments of personal attributes, indoor home environment, and outdoor residential context. We present an illustrative analysis of reports of falls, a health outcome that might be predicted by characteristics assessed by the interviewer, and we suggest directions for further research. DISCUSSION: Interviewer assessments collected in NSHAP are useful as proxy measures and can be used in combination with respondent's reports and ecological measures to generate insights into healthy aging.
Subject(s)
Aging , Body Weights and Measures , Health Status , Health Surveys/methods , Home Environment , Neighborhood Characteristics , Physical Appearance, Body , Aged , Aged, 80 and over , Female , Humans , Independent Living , Longitudinal Studies , Male , Middle Aged , Psychometrics , United StatesABSTRACT
BACKGROUND: The current US context is marked by extreme right-left partisanship, which means that state policies tend to bundle together and are not experienced in isolation. While prior work has leveraged abrupt shifts in single policies to examine the effects of state policy on birth outcomes, we examined a holistic measure that captures political polarisation. METHODS: Data were drawn from national birth certificates for 2003-2017 (N=56 770 470). Outcomes included preterm birth, low birth weight, small-for-gestational age and other perinatal health measures. The primary exposure was a composite index of right-left state policy orientation, generated from historical data on 135 state policies. Multivariable regressions were used to estimate the association between state policy orientation and each outcome, adjusting for relevant covariates. RESULTS: Compared with infants born in states with right-leaning policy orientations, those born in left-leaning states had lower odds of adverse birth outcomes (eg, low birth weight: OR 0.95 (0.93, 0.97), preterm birth: OR 0.94 (0.92, 0.95)). Subgroup analyses revealed stronger associations for US-born and White mothers. With the inclusion of state fixed effects, left-leaning policy orientation was no longer associated with lower odds of adverse birth outcomes. Models were otherwise robust to alternative specifications. CONCLUSION: While left-leaning state policy orientation has protective associations with a range of birth outcomes, the associations may be explained by stable characteristics of states, at least during the study period. Future studies should examine state policy orientation in association with other health outcomes and study periods.