Personality and compliance with COVID-19 protective measures among older Americans: Moderating effects of age, gender, and race/ethnicity.
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ABSTRACT:
SUBMITTER: Choi SL
PROVIDER: S-EPMC8743447 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BACKGROUND:Very few studies with nationally representative samples have investigated the combined effects of race/ethnicity and socioeconomic position (SEP) on polypharmacy (PP) among older Americans. For instance, we do not know if prevalence of PP differs between African Americans (AA) and white older adults, whether this difference is due to a racial gap in SEP, or whether racial and ethnic differences exist in the effects of SEP indicators on PP. Aims: We investigated joint effects of race/ethnicity and SEP on PP in a national household sample of American older adults. Methods: The first wave of the University of Michigan National Poll on Healthy Aging included a total of 906 older adults who were 65 years or older (80 AA and 826 white). Race/ethnicity, SEP (income, education attainment, marital status, and employment), age, gender, and PP (using 5+ medications) were measured. Logistic regression was applied for data analysis. Results: Race/ethnicity, age, marital status, and employment did not correlate with PP; however, female gender, low education attainment, and low income were associated with higher odds of PP among participants. Race/ethnicity interacted with low income on odds of PP, suggesting that low income might be more strongly associated with PP in AA than white older adults. Conclusions: While SEP indicators influence the risk of PP, such effects may not be identical across diverse racial and ethnic groups. That is, race/ethnicity and SEP have combined/interdependent rather than separate/independent effects on PP. Low-income AA older adults particularly need to be evaluated for PP. Given that race and SEP have intertwined effects on PP, racially and ethnically tailored interventions that address PP among low-income AA older adults may be superior to universal interventions and programs that ignore the specific needs of diverse populations. The results are preliminary and require replication in larger sample sizes, with PP measured directly without relying on individuals' self-reports, and with joint data collected on chronic disease.
| S-EPMC6631748 | biostudies-literature
Project description:Despite concerns about recent trends in the health and functioning of older Americans, little is known about dynamics of depression among recent cohorts of U.S. older adults and how these dynamics differ across sociodemographic groups. This study examined sociodemographic differences in mid- and late-life depressive symptoms over age, as well as changes over time. Using nationally representative data from the Health and Retirement Study (1994-2014), we estimated mixed effects models to generate depressive symptoms over age by gender, race/ethnicity, education, and birth cohort in 33,280 adults ages 51-90 years. Depressive symptoms were measured using the 8-item Center for Epidemiological Studies Depression scale. Women compared to men, low compared to high education groups, and racial/ethnic minorities compared to whites exhibited higher depressive symptoms. The largest disparity resulted from education, with those without high school degrees exhibiting over two more predicted depressive symptoms in midlife compared to those with college degrees. Importantly, war babies and baby boomers (born 1942-1959) exhibited slightly higher depressive symptoms with more decreasing symptoms over age than their predecessors (born 1931-1941) at ages 51-65. We additionally observed an age-as-leveler pattern by gender, whereby females compared to males had higher depressive symptomology from ages 51-85, but not at ages 86-90. Our findings have implication for gauging the aging population's overall well-being, for public health policies aimed at reducing health disparities, and for anticipating demand on an array of health and social services.
| S-EPMC6476127 | biostudies-literature
Project description:Purpose of the studyA destandardization of labor-force patterns revolving around retirement has been observed in recent literature. It is unclear, however, to which degree and of which kind. This study looked at sequences rather than individual statuses or transitions and argued that differentiating older Americans' retirement sequences by type, order, and timing and considering gender, class, and race differences yields a less destandardized picture.Design and methodsSequence analysis was employed to analyze panel data from the Health and Retirement Study (HRS) for 7,881 individuals observed 6 consecutive times between ages 60-61 and 70-71.ResultsAs expected, types of retirement sequences were identified that cannot be subsumed under the conventional model of complete retirement from full-time employment around age 65. However, these retirement sequences were not entirely destandardized, as some irreversibility and age-grading persisted. Further, the degree of destandardization varied along gender, class, and race. Unconventional sequences were archetypal for middle-level educated individuals and Blacks. Also, sequences for women and individuals with lower education showed more unemployment and part-time jobs, and less age-grading.ImplicationsA sequence-analytic approach that models group differences uncovers misjudgments about the degree of destandardization of retirement sequences. When a continuous process is represented as individual transitions, the overall pattern of retirement sequences gets lost and appears destandardized. These patterns get further complicated by differences in social structures by gender, class, and race in ways that seem to reproduce advantages that men, more highly educated individuals, and Whites enjoy in numerous areas over the life course.
| S-EPMC7594171 | biostudies-literature
Project description:Large-scale representative surveys of 8th-, 10th-, and 12th-grade students in the United States show high self-esteem scores for all groups. African-American students score highest, Whites score slightly higher than Hispanics, and Asian Americans score lowest. Males score slightly higher than females. Multivariate controls for grades and college plans actually heighten these race/ethnic/gender differences. A truncated scoring method, designed to counter race/ethnic differences in extreme response style, reduced but did not eliminate the subgroup differences. Age differences in self-esteem are modest, with 12th graders reporting the highest scores. The findings are highly consistent across 18 annual surveys from 1991 through 2008, and self-esteem scores show little overall change during that period.
| S-EPMC3263756 | biostudies-literature
Project description:Increasing biomedical workforce diversity remains a persistent challenge. Recent reports have shown that biomedical sciences (BMS) graduate students become less interested in faculty careers as training progresses; however, it is unclear whether or how the career preferences of women and underrepresented minority (URM) scientists change in manners distinct from their better-represented peers. We report results from a survey of 1500 recent American BMS Ph.D. graduates (including 276 URMs) that examined career preferences over the course of their graduate training experiences. On average, scientists from all social backgrounds showed significantly decreased interest in faculty careers at research universities, and significantly increased interest in non-research careers at Ph.D. completion relative to entry. However, group differences emerged in overall levels of interest (at Ph.D. entry and completion), and the magnitude of change in interest in these careers. Multiple logistic regression showed that when controlling for career pathway interest at Ph.D. entry, first-author publication rate, faculty support, research self-efficacy, and graduate training experiences, differences in career pathway interest between social identity groups persisted. All groups were less likely than men from well-represented (WR) racial/ethnic backgrounds to report high interest in faculty careers at research-intensive universities (URM men: OR 0.60, 95% CI: 0.36-0.98, p = 0.04; WR women: OR: 0.64, 95% CI: 0.47-0.89, p = 0.008; URM women: OR: 0.46, 95% CI: 0.30-0.71, p<0.001), and URM women were more likely than all other groups to report high interest in non-research careers (OR: 1.93, 95% CI: 1.28-2.90, p = 0.002). The persistence of disparities in the career interests of Ph.D. recipients suggests that a supply-side (or "pipeline") framing of biomedical workforce diversity challenges may limit the effectiveness of efforts to attract and retain the best and most diverse workforce. We propose incorporation of an ecological perspective of career development when considering strategies to enhance the biomedical workforce and professoriate through diversity.
| S-EPMC4262437 | biostudies-literature
Project description:BackgroundFamily history and African-American race are important risk factors for both prostate cancer (CaP) incidence and aggressiveness. When studying complex diseases such as CaP that have a heritable component, chances of finding true disease susceptibility alleles can be increased by accounting for genetic ancestry within the population investigated. Race, ethnicity and ancestry were studied in a geographically diverse cohort of men with newly diagnosed CaP.MethodsIndividual ancestry (IA) was estimated in the population-based North Carolina and Louisiana Prostate Cancer Project (PCaP), a cohort of 2,106 incident CaP cases (2063 with complete ethnicity information) comprising roughly equal numbers of research subjects reporting as Black/African American (AA) or European American/Caucasian/Caucasian American/White (EA) from North Carolina or Louisiana. Mean genome wide individual ancestry estimates of percent African, European and Asian were obtained and tested for differences by state and ethnicity (Cajun and/or Creole and Hispanic/Latino) using multivariate analysis of variance models. Principal components (PC) were compared to assess differences in genetic composition by self-reported race and ethnicity between and within states.ResultsMean individual ancestries differed by state for self-reporting AA (p = 0.03) and EA (p = 0.001). This geographic difference attenuated for AAs who answered "no" to all ethnicity membership questions (non-ethnic research subjects; p = 0.78) but not EA research subjects, p = 0.002. Mean ancestry estimates of self-identified AA Louisiana research subjects for each ethnic group; Cajun only, Creole only and both Cajun and Creole differed significantly from self-identified non-ethnic AA Louisiana research subjects. These ethnicity differences were not seen in those who self-identified as EA.ConclusionsMean IA differed by race between states, elucidating a potential contributing factor to these differences in AA research participants: self-reported ethnicity. Accurately accounting for genetic admixture in this cohort is essential for future analyses of the genetic and environmental contributions to CaP.
| S-EPMC3313995 | biostudies-literature
Project description:BackgroundAlthough psychoses and ethnicity are well researched, the importance of culture, race and ethnicity has been overlooked in Personality Disorders (PD) research. This study aimed to review the published literature on ethnic variations of prevalence, aetiology and treatment of PD.MethodA systematic review of studies of PD and race, culture and ethnicity including a narrative synthesis of observational data and meta-analyses of prevalence data with tests for heterogeneity.ResultsThere were few studies with original data on personality disorder and ethnicity. Studies varied in their classification of ethnic group, and few studies defined a specific type of personality disorder. Overall, meta-analyses revealed significant differences in prevalence between black and white groups (OR 0.476, CIs 0.248 - 0.915, p = 0.026) but no differences between Asian or Hispanic groups compared with white groups. Meta-regression analyses found that heterogeneity was explained by some study characteristics: a lower prevalence of PD was reported among black compared with white patients in UK studies, studies using case-note diagnoses rather than structured diagnostic interviews, studies of borderline PD compared with the other PD, studies in secure and inpatient compared with community settings, and among subjects with co-morbid disorders compared to the rest. The evidence base on aetiology and treatment was small.ConclusionThere is some evidence of ethnic variations in prevalence of personality disorder but methodological characteristics are likely to account for some of the variation. The findings may indicate neglect of PD diagnosis among ethnic groups, or a true lower prevalence amongst black patients. Further studies are required using more precise cultural and ethnic groups.
| S-EPMC2882360 | biostudies-literature
Project description:We examine four life course models as they relate to adolescent SES, adult SES, and cardiovascular risk--the sensitive period, pathways, accumulation, and social mobility models. Accounting for race/ethnic and gender differences in life course processes, we analyzed Waves I and IV of the National Longitudinal Study of Adolescent to Adult Health, a nationally representative sample of individuals enrolled in grades 7-12 when they were first interviewed in 1994/5. We restricted our sample to whites, blacks, and Latinos who were interviewed in Waves I and IV and provided biomarker data (n = 11,397). The cardiovascular risk score at Wave IV combined waist circumference, blood pressure, hemoglobin A1c, and C-reactive protein. We found evidence for each of the four life course models for white women, whereas the sensitive period was indicated for white men. Upward mobility was also associated with higher CVD risk among white men as compared to those who were socio-economically advantaged at both time points. The pathway model was significant for Latino women. No life course models were significant for black men or women or Latino men. Our findings demonstrate the importance of applying an intersectional lens to understanding CVD risk over the life course.
| S-EPMC4792096 | biostudies-literature
Project description:ObjectivesWe provide the first nationally representative longitudinal study of cognitive impairment in relation to parental death from childhood through early adulthood, midlife, and later adulthood, with attention to heterogeneity in the experience of parental death.MethodsWe analyzed data from the Health and Retirement Study (2000-2016). The sample included 13,392 respondents, contributing 72,860 person-periods. Cognitive impairment was assessed using the modified version of the Telephone Interview for Cognitive Status. Discrete-time hazard regression models were estimated to predict the odds of cognitive impairment.ResultsBoth exposure and timing of parental death were related to the risk of cognitive impairment in late life and associations vary by gender. The detrimental effect of a father's death was comparable for daughters and sons although exposure to a mother's death had stronger effects on daughter's than son's risk of cognitive impairment. Father's death at younger ages had the strongest effect on sons' late-life risk of cognitive impairment, whereas mother's death in middle adulthood had the strongest effect on daughters' risk. We found no significant racial-ethnic variation in the association between parental death and cognitive impairment.DiscussionIt is important to explore the gender-specific pathways through which parental death leads to increased risk of cognitive impairment so that effective interventions can be implemented to reduce risk.
| S-EPMC9159058 | biostudies-literature
Project description:BackgroundObesity and multimorbidity are more prevalent among U.S. racial/ethnic minority groups. Evaluating racial/ethnic disparities in disease accumulation according to body mass index (BMI) may guide interventions to reduce multimorbidity burden in vulnerable racial/ethnic groups.MethodWe used data from the 1998-2016 Health and Retirement Study on 8 106 participants aged 51-55 at baseline. Disease burden and multimorbidity (≥2 co-occurring diseases) were assessed using 7 chronic diseases: arthritis, cancer, heart disease, diabetes, hypertension, lung disease, and stroke. Four BMI categories were defined per convention: normal, overweight, obese class 1, and obese class 2/3. Generalized estimating equations models with inverse probability weights estimated the accumulation of chronic diseases.ResultsOverweight and obesity were more prevalent in non-Hispanic Black (82.3%) and Hispanic (78.9%) than non-Hispanic White (70.9 %) participants at baseline. The baseline burden of disease was similar across BMI categories, but disease accumulation was faster in the obese class 2/3 and marginally in the obese class 1 categories compared with normal BMI. Black participants across BMI categories had a higher initial burden and faster accumulation of disease over time, while Hispanics had a lower initial burden and similar rate of accumulation, compared with Whites. Black participants, including those with normal BMI, reach the multimorbidity threshold 5-6 years earlier compared with White participants.ConclusionsControlling weight and reducing obesity early in the lifecourse may slow the progression of multimorbidity in later life. Further investigations are needed to identify the factors responsible for the early and progressing nature of multimorbidity in Blacks of nonobese weight.
| S-EPMC8824553 | biostudies-literature