Socioeconomic status and biological markers of health: an examination of adults in the United States and Taiwan.
Ontology highlight
ABSTRACT:
SUBMITTER: Cornman JC
PROVIDER: S-EPMC4284140 | biostudies-literature | 2015 Feb
REPOSITORIES: biostudies-literature
Publications
Socioeconomic status and biological markers of health: an examination of adults in the United States and Taiwan.
Cornman Jennifer C JC Glei Dana A DA Goldman Noreen N Ryff Carol D CD Weinstein Maxine M
Journal of aging and health 20140627 1
<h4>Objective</h4>The study documents whether socioeconomic status (SES) differentials in biological risk are more widely observed and larger in the United States than Taiwan.<h4>Method</h4>Data come from the Social Environment and Biomarkers of Aging Study in Taiwan and the Midlife in the United States study. We use regression analyses to test whether four summary measures of biological risk are significantly related to categorical measures of education, income, and subjective social status amo ...[more]
Similar Datasets
Project description:The goal of this exploratory study was to delineate health differences among transgender subpopulations (transgender women/TW, transgender men/TM, gender nonbinary/GNB adults). 2015 Behavioral Risk Factor Surveillance System data were analyzed to compare the health of three groups (TW:N = 369; TM:N = 239; GNB:N = 156). Logistic regression and adjusted odds ratios were used to determine whether health outcomes (fair/poor health, frequent physical and mental unhealthy days, chronic health conditions, and health problems/impairments) are related to group and its interaction with personal characteristics and socioeconomic position. Group was a significant predictor of fair/poor health and frequent mental unhealthy days, revealing significant health differences between the transgender groups. The odds of poor/fair health were approximately 2.5 times higher in TM and GNB adults relative to TW. The odds of frequent mental unhealthy days for TM were approximately 1.5-2 times greater than TW and GNB adults. Among those with health insurance, the odds of fair/poor health for GNB adults was more than 1.5-2 times higher that of TM and TW. Among those without health insurance, TM had over 7 times greater odds of fair/poor health than TW. This study underscores the importance of classifying and examining the health of the transgender population as unique subpopulations, as notable health differences were discovered. TM and GNB adults have significant health concerns, requiring the attention of clinical interventions aimed at promoting health and preventing illness.
| S-EPMC7034836 | biostudies-literature
Project description:The authors assessed the extent to which socioeconomic status (SES) and the personality factors termed the "big 5" (neuroticism, extraversion, openness to experience, agreeableness, conscientiousness) represented confounded or independent risks for all-cause mortality over a 10-year follow-up in the Midlife Development in the United States (MIDUS) cohort between 1995 and 2004. Adjusted for demographics, the 25th versus 75th percentile of SES was associated with an odds ratio of 1.43 (95% confidence interval (CI): 1.11, 1.83). Demographic-adjusted odds ratios for the 75th versus 25th percentile of neuroticism were 1.38 (95% CI: 1.10, 1.73) and 0.63 (95% CI: 0.47, 0.84) for conscientiousness, the latter evaluated at high levels of agreeableness. Modest associations were observed between SES and the big 5. Adjusting each for the other revealed that personality explained roughly 20% of the SES gradient in mortality, while SES explained 8% of personality risk. Portions of SES and personality risk were explained by health behaviors, although some residual risk remained unexplained. Personality appears to explain some between-SES strata differences in mortality risk, as well as some individual risk heterogeneity within SES strata. Findings suggest that both sociostructural inequalities and individual disposition hold public health implications. Future research and prevention aimed at ameliorating SES health disparities may benefit from considering the risk clustering of social disadvantage and dispositional factors.
| S-EPMC2800299 | biostudies-literature
Project description:Background:Education, employment, and marital status are among the main socioeconomic status (SES) indicators that are associated with subjective health and happiness. The effects of these SES indicators may, however, be different for various demographic groups. Aims:To understand if SES indicators differently impact men and women, we tested gender differences in the effects of education, employment, and marital status on the subjective health and happiness of American adults. Methods:This cross-sectional study used data of the General Social Survey (GSS), a series of nationally representative surveys between 1972 and 2018 in the US. Our analytical sample included 65,814 adults. The main independent variables were education attainment, marital status, and employment. Outcomes were self-rated health (SRH) and happiness measured using single items. Age and year of the study were covariates. Gender was the moderator. Results:Overall, high education, being employed, and being married were associated with better SRH and happiness. We, however, found significant interactions between gender and educational attainment, marital status, and employment on the outcomes, which suggested that the effect of high education and marital status were stronger for women. In comparison, the effect of employment was stronger for men. Some inconsistencies in the results were observed for SRH compared to happiness. Conclusions:In the United States, while education, employment, and marital status are critical social determinants of subjective health and happiness, these effects vary between women and men. Men's outcomes seem to be more strongly shaped by employment, while women's outcomes are more strongly shaped by education and marital status.
| S-EPMC7304555 | biostudies-literature
Project description:Adolescents and young adults not employed or in education/training (NEET) could be at higher risk of adverse health outcomes. Approximately 4.6 million Americans aged between 16 and 24 fall in this group. However, differences in health between NEET and non-NEET population remain unaddressed. This study examines the association of NEET status and poor/fair self-reported health status (SRH), among adolescents and young adults in the United States. Data for this study come from the 2016-2018 National Survey on Drug Use and Health (NSDUH). Our analytical sample consisted of 53,690 respondents. We used logistic regression models to investigate the association between NEET and health status in the United States, while controlling for potential covariates. Approximately 14% of our analytical sample was classified as NEET. NEET report poor/fair health status at higher rates than their counterparts who remained in school and/or had a job (11.30% vs. 5.62%). The NEET population was older, had a higher proportion of non-Hispanic Blacks, engaged in more smoking but in less alcohol drinking than non-NEET. In our initial model, NEET were more likely report poor/fair SRH than their non-NEET counterparts (OR = 2.14; p < 0.001). This difference remains strong when demographic and socioeconomic characteristics are accounted for in our empirical models (OR = 1.93, p < 0.001). In our fully specified model, which accounts for health behaviors, NEET continue to have higher odds of reporting poor/fair SRH (OR = 1.77, p < 0.001). Our analyses suggest that NEET populations report worse health than non-NEETs. The health of this population may improve if interventions to reinsert them into either education or employment are effectively deployed.
| S-EPMC8134726 | biostudies-literature
Project description:OBJECTIVES:We examined whether the risk of premature mortality associated with living in socioeconomically deprived neighborhoods varies according to the health status of individuals. METHODS:Community-dwelling adults (n = 566,402; age = 50-71 years) in 6 US states and 2 metropolitan areas participated in the ongoing prospective National Institutes of Health-AARP Diet and Health Study, which began in 1995. We used baseline data for 565,679 participants on health behaviors, self-rated health status, and medical history, collected by mailed questionnaires. Participants were linked to 2000 census data for an index of census tract socioeconomic deprivation. The main outcome was all-cause mortality ascertained through 2006. RESULTS:In adjusted survival analyses of persons in good-to-excellent health at baseline, risk of mortality increased with increasing levels of census tract socioeconomic deprivation. Neighborhood socioeconomic mortality disparities among persons in fair-to-poor health were not statistically significant after adjustment for demographic characteristics, educational achievement, lifestyle, and medical conditions. CONCLUSIONS:Neighborhood socioeconomic inequalities lead to large disparities in risk of premature mortality among healthy US adults but not among those in poor health.
| S-EPMC3489366 | biostudies-literature
Project description:ObjectiveThis study aimed to identify temporal time trends and risk factors associated with mortality for hospitalized older adults with status epilepticus (SE).DesignA retrospective study was performed.SettingHospitalized patients were identified utilizing an administrative database-The Nationwide Inpatient Sample database from 1998 through September 2015.PatientsPatients were older adults 65 years and older with SE.InterventionsNo interventions were undertaken.Measurements and main resultsDemographic, temporal trends, clinical characteristics, and outcome data were abstracted. The results indicated that hospitalized elderly Americans with SE increased over the 11-year study period. Univariate and multivariate analyses were performed to evaluate risk factors associated with mortality in the study cohort. From the weighted sample, 130,109 subjects were included. Overall mortality was 19%. For age subgroups, the mortality was highest for the >85 years age group (24.1%) compared to the 65-75 years (19%) and 75-85 years (23%) age groups. Among investigated etiologies, the three most common causes of SE were acute ischemic stroke (11.2% of total) followed by non-traumatic brain hemorrhage (5.4%) and malignant brain lesions (4.9%). The highest mortality by etiology was noted for acute traumatic brain injury (TBI) (31.5%), non-traumatic brain hemorrhage (31%), and acute ischemic stroke (AIS) (30.1%). Multivariate analysis indicated that non-survivors when compared to survivors were more like to have the following characteristics: older age group, acute TBI, brain neoplasms, non-traumatic brain hemorrhage, AIS and central nervous system (CNS) infections, and utilization of mechanical ventilation. Associated conditions significantly increasing risk of mortality were sodium imbalance, cardiac arrest, anoxic brain injury, pneumonia, and sepsis. Comorbidities associated with increased risk of mortality included valvular heart disease, renal failure, liver disease, and neoplasms.ConclusionsThe number of hospitalized elderly Americans with SE increased over the 11-year study period. Overall mortality was 19%, with even higher mortality among various patient subsets. Several demographic and co-morbid factors are associated with increased mortality in this age group.
| S-EPMC6787625 | biostudies-literature
Project description:ImportanceHousing insecurity induced by evictions may increase the risk of contracting COVID-19.ObjectiveTo estimate the association of lifting state-level eviction moratoria, which increased housing insecurity during the COVID-19 pandemic, with the risk of being diagnosed with COVID-19.Design, setting, and participantsThis retrospective cohort study included individuals with commercial insurance or Medicare Advantage who lived in a state that issued an eviction moratorium and were diagnosed with COVID-19 as well as a control group comprising an equal number of randomly selected individuals in these states who were not diagnosed with COVID-19. Data were collected from OptumLabs Data Warehouse, a database of deidentified administrative claims. The study used a difference-in-differences analysis among states that implemented an eviction moratorium between March 13, 2020, and September 4, 2020.ExposuresTime since state-level eviction moratoria were lifted.Main outcomes and measuresThe primary outcome measure was a binary variable indicating whether an individual was diagnosed with COVID-19 for the first time in a given week with International Statistical Classification of Diseases and Related Health Problems, Tenth Revision code U07.1. The study analyzed changes in COVID-19 diagnosis before vs after a state lifted its moratorium compared with changes in states that did not lift it. For sensitivity analyses, models were reestimated on a 2% random sample of all individuals in the claims database during this period in these states.ResultsThe cohort consisted of 509 694 individuals (254 847 [50.0%] diagnosed with COVID-19; mean [SD] age, 47.0 [23.6] years; 239 056 [53.3%] men). During the study period, 43 states and the District of Columbia implemented an eviction moratorium and 7 did not. Among the states that implemented a moratorium, 26 (59.1%) lifted their moratorium before the US Centers for Disease Control and Prevention issued their national moratorium, while 18 (40.1%) maintained theirs. In a Cox difference-in-differences regression model, individuals living in a state that lifted its eviction moratorium experienced higher hazards of a COVID-19 diagnosis beginning 5 weeks after the moratorium was lifted (hazard ratio [HR], 1.39; 95% CI, 1.11-1.76; P = .004), reaching an HR of 1.83 (95% CI, 1.36-2.46; P < .001) 12 weeks after. Hazards increased in magnitude among individuals with preexisting comorbidities and those living in nonaffluent and rent-burdened areas. Individuals with a Charlson Comorbidity Index score of 3 or greater had an HR of 2.37 (95% CI, 1.67-3.36; P < .001) at the end of the study period. Those living in nonaffluent areas had an HR of 2.14 (95% CI, 1.51-3.05; P < .001), while those living in areas with a high rent burden had an HR of 2.31 (95% CI, 1.64-3.26; P < .001).Conclusions and relevanceThe findings of this difference-in-differences analysis suggest that eviction-led housing insecurity may have exacerbated the COVID-19 pandemic.
| S-EPMC8406080 | biostudies-literature
Project description:BackgroundChlamydia trachomatis is the most common nationally notifiable sexually transmitted infection in the United States; however, the seroprevalence of C. trachomatis infection is unknown.MethodsThis cross-sectional study was conducted among 1725 females aged 18 to 39 years who provided serum and urine samples in the 2013 through 2016 National Health and Nutrition Examination Surveys. Presence of anti-C. trachomatis Pgp3 immunoglobulin G (IgG) was determined using both an enzyme-linked immunosorbent assay (ELISA) and multiplex bead array (MBA). Weighted seroprevalence estimates were calculated. Correlates of seroprevalence were examined by multivariable Poisson regression.ResultsIn 2013 through 2016, overall seroprevalence of C. trachomatis Pgp3 IgG was 30.0% (95% confidence interval [CI], 25.5-35.0) as measured by ELISA and 29.4% (95% CI, 25.8-33.0) as measured by the MBA assay. Overall agreement between tests was 87.1% (1503/1725). There was a high positive agreement by the MBA assay with current detection of chlamydia in urine (86% [36/42]), a past-year diagnosis of chlamydia (81.8% [27/33]), and a history of treatment for pelvic inflammatory disease (60.7% [37/61]). Seroprevalence of C. trachomatis Pgp3 IgG, as measured by MBA, was significantly higher among non-Hispanic Blacks (68.0%; adjusted prevalence ratio (aPR) = 2.7 [95% CI, 2.3-3.3]), Mexican Americans (30.9%; aPR = 1.5 [95% CI, 1.2-1.9]), and other Hispanics (35.0%; aPR = 1.9 [95% CI, 1.4-2.5]) compared with non-Hispanic Whites (21.4%). A higher lifetime number of sexual partners and a younger age at sexual debut was also associated with higher seroprevalence.ConclusionBoth the ELISA and MBA serologic assays revealed a high prevalence of antibodies to C. trachomatis Pgp3 in young adult females in the US household population. There were major racial/ethnic disparities in exposure to C. trachomatis, with increased vulnerability among non-Hispanic Black females.
| S-EPMC8326542 | biostudies-literature
Project description:Human mobility has always been associated with the spread of infection, and mobility of nonimmigrant visitors and temporary residents to the United States is increasing, from approximately 12 million in 1987 to approximately 37 million in 2007. Lack of information about the health status of these populations upon arrival and their need for and use of medical services in the United States hinders development of public health policy, education, and provision of adequate clinical care. After these issues and needs are clarified, intervention programs should be developed to increase access and decrease the disparities of care experienced by these populations.
| S-EPMC2857256 | biostudies-literature
Project description:Using data collected from 9,823 participants in the 2007-2008 and 2009-2010 cycles of the National Health and Nutrition Examination Survey, we formally investigated potentially modifiable factors linking low socioeconomic status (SES) to chronic kidney disease (CKD) for their presence and magnitude of mediation. SES was defined using the poverty income ratio. The main outcome was CKD, defined as estimated glomerular filtration rate <60 mL/minute/1.73 m(2) (using the Chronic Kidney Disease Epidemiology Collaboration equation) and/or urinary albumin:creatinine ratio ?30 mg/g. In mediation analyses, we tested the contributions of health-related behaviors (smoking, alcohol intake, diet, physical activity, and sedentary time), comorbid conditions (diabetes, hypertension, obesity, abdominal obesity, and hypercholesterolemia), and access to health care (health insurance and routine health-care visits) to this association. Except for sedentary time and diet, all examined health-related behaviors, comorbid conditions, and factors related to health-care access mediated the low SES-CKD association and contributed 20%, 32%, and 11%, respectively, to this association. In race/ethnicity-specific analyses, identified mediators tended to explain more of the association between low SES and CKD in non-Hispanic blacks than in other racial/ethnic groups. In conclusion, potentially modifiable factors like health-related behaviors, comorbid conditions, and health-care access contribute substantially to the association between low SES and CKD in the United States, especially among non-Hispanic blacks.
| S-EPMC4425833 | biostudies-other