SES Indicators Research Articles

Health behaviour and wellbeing trends among Australian adults before and during the COVID-19 pandemic (2017–2022): An interrupted time-series analysis

ObjectiveTo explore population-level trends in health behaviours and wellbeing indicators from before (2017–2019) to during (2020–2022) the COVID-19 pandemic in Australia. MethodsUsing cross-sectional data from New South Wales Adult Population Health Surveys (2017–2022, n = 73,680 responses), we calculated weighted prevalence estimates and interrupted time-series logit models to investigate trends in health behavioural risk factors (vegetable and fruit intake, physical activity, alcohol consumption, smoking, e-cigarette use), Body Mass Index (BMI) (overweight and obesity), and wellbeing indicators (psychological distress, self-rated health) among adults aged ≥ 16 years before and during the pandemic. ResultsFrom 2017 to 2022, the behavioural risk factors and BMI trends were mostly unchanged. Similarly, wellbeing indicator trends showed only minor variations according to age. The interrupted time-series models found marked changes from before to during the COVID-19 pandemic for e-cigarette use and self-rated health. E-cigarette use showed an overall increasing trend, with significant increases from 2017 to 2022 (OR 8.25, 95 %CI 6.10–11.16). Poor self-rated health showed a stable trend before COVID-19, but decreased in 2020 (OR 0.68, 95 %CI 0.58–0.80) and 2021 (OR 0.70, 95 %CI 0.60–0.81), returning to pre-COVID levels in 2022 (OR 1.23, 95 %CI 1.07–1.41). During the pandemic (2020–2022), there were few statistically significant observed changes in prevalence trends according to SES indicators. ConclusionAmong Australian adults, relatively small population-level impacts of the COVID-19 pandemic on health behaviours and wellbeing trends were observed. Continued surveillance and sub-group analyses are essential for investigating potential time-lagged effects and regional or sociodemographic differences in health behaviours and wellbeing.

Associations of family socioeconomic indicators and physical activity of primary school-aged children: a systematic review

BackgroundFamily socioeconomic indicators (education, occupation, and household income) are key determinants influencing children’s physical activity (PA). This study aims to systematically review the current research about the association between family socioeconomic indicators and PA among primary school-aged children and to quantify the distribution of reported associations by childs’ and parents’ sex and according to analysis and assessment methods.MethodsA systematic literature research in multiple scientific databases (MEDLINE via PubMed, Web of Science, ScienceDirect, SPORTDiscus and ERIC) was performed for literature published between 1st January 2010 and 31st March 2022. Only studies reporting statistical associations between an SES indicator of at least one parent (education, occupation, income, or an SES index) and different types and intensities of PA in primary school-aged children (6 to 12 years) were included in the analysis. The distributions of the reported associations were evaluated across and differentiated by sub-group analysis of assessment methods (objectively measured vs. self-reported PA) and analysis methods (univariate vs. multivariate models).ResultsOverall, 93 studies reported in 77 publications were included in this review. Most of the studies were conducted in Europe and used self-reports (questionnaires) to assess PA. Most studies used only a single SES indicator (commonly maternal education), and only two studies calculated an SES index. The majority of the studies focused on moderate-to-vigorous physical activity (MVPA), total physical activity (TPA), and organized physical activity (OPA). Results showed predominantly positive associations between SES indicators and OPA. In contrast, results regarding different intensities of daily PA (TPA, LPA, MPA, MVPA, VPA, LTPA) were heterogeneous, with overwhelmingly no associations.ConclusionOverall, the results expand the knowledge about the association between family socioeconomic indicators and children’s PA and disprove the hypothesis of a clear positive association. However, large multicenter studies are lacking using a real SES index as a predictor and analyzing gender-specific multivariate models.

A critical evaluation of the validity of socioeconomic measures used in PISA

PurposeGiven the scientific and practical difficulties inherent in measuring and comparing socioeconomic deprivation (SED), and the further complexity added in cross national measurements, the main aim of this paper was to check the validity of SED measures used in PISA 2018 dataset. The SED measure used in PISA 2018 was the PISA index of economic, social and cultural status abbreviated as the ESCS index. This assessment was important as PISA analysis is based on variables derived from this instrument and the ESCS index and these reports influence and reflect international and comparative education policies and practice.Design/methodology/approachThis study critically evaluates the socioeconomic status measures in the PISA 2018 dataset, focusing on their convergent validity and cross-national comparability. Using responses from over 600,000 students in 73 countries, it examines the validity of SES indicators and their comparability across countries. The study employs principal component analysis to construct local SES measures and compares them with the existing Economic, Social, and Cultural Status (ESCS) index. It explores the relationship between these SES measures and academic achievement in reading, science, and mathematics, aiming to understand their predictive validity in diverse educational settings. Statistical analyses were conducted using the IEA’s IDB Analyser and SPSS, ensuring robustness and generalisability across the diverse participant countries.FindingsOur research findings challenge the assumed superiority of local measures over broader constructs like the Economic, Social, and Cultural Status (ESCS). It suggests that standardised measures like ESCS may provide more reliable predictions of academic achievement across various educational contexts, underscoring the complex relationship between SES measures and academic performance.Originality/valueOur novel analysis shows that local and cross-national SED measures are poorly correlated. Our findings raise questions about the measures' validity while acknowledging the methodological challenges. We provide empirical evidence to support ongoing debates on the topic.

Cumulative Exposures to Environmental and Socioeconomic Risk Factors in Milwaukee County, Wisconsin.

The environmental justice literature demonstrates consistently that low-income and minority communities are disproportionately exposed to environmental hazards. In this case study, we examined cumulative multipollutant, multidomain, and multimatrix environmental exposures in Milwaukee County, Wisconsin for the year 2015. We identified spatial hot spots in Milwaukee County both individually (using local Moran's I) and through clusters (using K-means clustering) across a profile of environmental pollutants that span regulatory domains and matrices of exposure, as well as socioeconomic indicators. The cluster with the highest exposures within the urban area was largely characterized by low socioeconomic status and an overrepresentation of the Non-Hispanic Black population relative to the county as a whole. In this cluster, average pollutant concentrations were equivalent to the 78th percentile in county-level blood lead levels, 67th percentile in county-level NO2, 79th percentile in county-level CO, and 78th percentile in county-level air toxics. Simultaneously, this cluster had an average equivalent to the 62nd percentile in county-level unemployment, 70th percentile in county-level population rate lacking a high school diploma, 73rd percentile in county-level poverty rate, and 28th percentile in county-level median household income. The spatial patterns of pollutant exposure and SES indicators suggested that these disparities were not random but were instead structured by socioeconomic and racial factors. Our case study, which combines environmental pollutant exposures, sociodemographic data, and clustering analysis, provides a roadmap to identify and target overburdened communities for interventions that reduce environmental exposures and consequently improve public health.

Greater attention to socioeconomic status in developmental research can improve the external validity, generalizability, and replicability of developmental science.

Psychological researchers have been criticized for making broad presumptions about human behavior based on limited sampling. In part, presumptive generalizability is reflected in the limited representation of sociodemographic variation in research reports. In this analysis, we examine time-trends in reporting of a key sociodemographic construct relevant to many aspects of child development-socioeconomic status (SES)-across six mainstream developmental journals (Infancy, Child Development, Developmental Science, Developmental Psychology, Infant and Child Development, and Infant Behavior & Development) between 2016 and 2022. Findings point to limited reporting of SES across developmental journals and across time. Reporting rates varied significantly by region and by topic of development. In terms of specific indicators of SES, there was consistent use of income and caregiver education as SES indicators. The epistemic costs of the lack of integration of socio-economic factors in developmental research are addressed. Pathways to greater integration of SES are proposed. RESEARCH HIGHLIGHTS: We analyzed reporting and representation of socioeconomic status in published studies on early child development. A large proportion of published studies did not report any socio-economic information. Suggestions for greater attention to socioeconomic status are proposed.

Socioeconomic disadvantage and long-term survival duration in out-of-hospital cardiac arrest patients: A population-based cohort study

BackgroundSocioeconomic status (SES) is a well-established determinant of cardiovascular health. However, the relationship between SES and clinical outcomes in long-term out-of-hospital cardiac arrest (OHCA) is less well-understood. The Singapore Housing Index (SHI) is a validated building-level SES indicator. We investigated whether SES as measured by SHI is associated with long-term OHCA survival in Singapore. MethodsWe conducted an open cohort study with linked data from the Singapore Pan-Asian Resuscitation Outcomes Study (PAROS), and the Singapore Registry of Births and Deaths (SRBD) from 2010 to 2020. We fitted generalized structural equation models, calculating hazard ratios (HRs) using a Weibull model. We constructed Kaplan–Meier survival curves and calculated the predicted marginal probability for each SHI category. ResultsWe included 659 cases. In both univariable and multivariable analyses, SHI did not have a significant association with survival. Indirect pathways of SHI mediated through covariates such as Emergency Medical Services (EMS) response time (HR of low-medium, high-medium and high SHI when compared to low SHI: 0.98 (0.88–1.10), 1.01 (0.93–1.11), 1.02 (0.93–1.12) respectively), and age of arrest (HR of low-medium, high-medium and high SHI when compared to low SHI: 1.02 (0.75–1.38), 1.08 (0.84–1.38), 1.18 (0.91–1.54) respectively) had no significant association with OHCA survival. There was no clear trend in the predicted marginal probability of survival among the different SHI categories. ConclusionsWe did not find a significant association between SES and OHCA survival outcomes in residential areas in Singapore. Among other reasons, this could be due to affordable healthcare across different socioeconomic classes.

Modifiable risk factors of inequalities in hypertension: analysis of 100 million health checkups recipients.

Inequalities in health behaviors are thought to contribute to inequalities in hypertension. This study examined the extent to which modifiable mediating factors explain income inequalities in hypertension. This repeated cross-sectional study used data from National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB) from 2009 to 2015. Those aged between 40 and 74 were enrollees in the Specific Health Checkups. Hypertension was defined as systolic blood pressure ≥140 mmHg or diastolic blood pressure ≥90, or the use of antihypertensive medication. The mediating effects of exercise, obesity, smoking, and alcohol drinking on the association between income, as an indicator of SES, and hypertension were determined by the Karlson-Holm-Breen (KHB) method. The mean age of the 68,684,025 men and 59,118,221 women was 54.7 (SD = 9.6) and 56.7 (SD = 10.0) years, respectively. Prevalence of hypertension was higher in the lowest income group (48.6% for men, 40.2% for women) than in the highest income group (33.3% for men, 21.5% for women). Inequalities tended to increase over time. Inequalities were larger among those who did not use antihypertensive medication. Modifiable risks explained 10.6% of the association between income and hypertension for men and 15.1% for women. In men, drinking and obesity explained 8.8% and 5.5% of the inequalities in hypertension, respectively. In women, obesity explained 18.8%. Exercise increased the proportion mediated over time. Smoking explained 5.5% among women taking antihypertensive medication. There were health inequalities in hypertension among Japanese adults, and the modifiable risk factors partially explained the inequalities.

WITHIN TWIN PAIR DIFFERENCES INDICATE GENETIC EFFECTS OF SES INDICATORS ON LONGITUDINAL CHANGES IN PHYSICAL AGING

Abstract Socioeconomic status (SES) predicts change in health status over age, even after accounting for measured confounders such as environmental and biological risk factors. Nonetheless, the source of SES-health associations continues to be heavily debated. Twin studies offer a method for testing causal hypotheses by incorporating within and between twin pair differences in longitudinal latent growth curve models (LGCM) of physical aging on both level of functioning and rate of change with age. Three longitudinal twin studies of aging from the Swedish Twin Registry (N = 2059) included up to 27 years of follow-up on a Functional Aging Index (FAI) consisting of lung function, grip strength, walking speed, and self-report sensory functioning. SES indicators included education, financial strain, and occupation. Pair means (between family effect) and within pair differences (within family effect) were included as covariates of both intercept and slopes in a two-slope LGCM (intercept at age 75); models were corrected for sex and parental SES. LGCM results were compared across full sample, monozygotic twins, and dizygotic twins. For the FAI intercept, MZ within pair effects in all SES variables were strongly attenuated, indicating genetic confounding. For slope 1, only MZ within pair effect for education was attenuated, and no SES indicators were related to rate of change in FAI after age 75. Thus, results suggest shared genetic factors explain the association between education and change in physical aging in early aging processes. In other words, genes that impact educational achievement may also influence health behaviors and physical aging.

Financial Hardship and Age-Related Decrements in Kidney Function Among Black and White Adults in the Midlife in the United States Study.

This analysis examined if financial hardship was associated with age-related decrements in kidney function using a material-psychosocial-behavioral framework. We also tested if this association was mediated by comorbidity of cardiometabolic risk factors (obesity, elevated blood pressure, and insulin resistance). Data from 1361 non-Hispanic Black and White adults (ages 26-94 years; non-Hispanic Black = 258) were obtained from the Wave 3 and Refresher phases of the Midlife in the United States project. Kidney function was based on serum creatinine-based estimated glomerular filtration rate (eGFR; Chronic Kidney Disease Epidemiology Collaboration formula without race adjustment). Financial hardship was evaluated in three domains: material (income to poverty line ratio, health insurance coverage, and public/government financial assistance), psychological (perceived financial status, control over financial status, and perceived financial strains), and behavioral responses (financial adjustment/coping such as sold possessions and cutting back on spending). More severe financial hardship (overall score and in each domain) was associated with age-related decrements in eGFR, even after adjusting for sociodemographic, education, and health-related covariates. The association between financial hardship and age-related decrements in eGFR was conditional on sex but not race. Finally, cardiometabolic risk factors mediated the association between financial hardship and age-related decrements in eGFR. These findings affirm the negative effects of financial hardship on age-related decrements in renal clearance. In addition to incorporating traditionally used indicators of SES, such as education and income, future research on social hallmarks of aging should also consider the role of financial hardship on the aging process and age-related diseases.

Association and potential mediators between socioeconomic status and childhood obesity in China: findings from a national cohort study

ObjectiveSocioeconomic status (SES) is associated with childhood obesity, but the underlying factors remain unknown. This study aimed to identify mediators that may explain SES disparities in childhood obesity in China. MethodsNationally representative longitudinal data from the China Education Panel Survey of 11 019 children (13.03 ± 0.79) collected from 2013‒2014 to 2016‒2017 academic years. Overweight/obesity was defined using Chinese national body mass index cut-points. Principal component analysis was used to convert the four SES indicators (maternal and paternal education, and occupation) into one comprehensive variable. Mediation analysis for SES disparities in childhood obesity was conducted using structure equation models. ResultsThe prevalence of overweight/obesity was 12.8%, and was higher in boys than in girls (17.8% vs. 7.6%, P < 0.001) at baseline. Among boys, relative risk (RR) of obesity was 1.23 (95% CI: 1.09 to 1.40, P < 0.001) for per unit change in SES. There was no significant association between obesity and SES among girls. Mediation analyses showed that among boys, birth weight, being the only child in the family and children's self-perceived weight status mediated 70.0% of the effects of SES on obesity. No mediation effect was detected in girls. ConclusionsChinese boys are more likely to be overweight or obese than girls. SES may impact childhood obesity through birth weight, being the only child in the family and children's self-perceived body weight status in boys, but not in girls. More attention should be made to address childhood obesity in high SES families among boys. Interventions targeting at these mediators are needed.

218-OR: Predictors of Young Adults’ (YAs) Engagement in a Type 1 Diabetes (T1D) Self-Management Intervention—The Resilient, Empowered, Active Living–Telehealth (REAL-T) Diabetes Study

Background: YAs with T1D have more complications and mental health challenges, and are less engaged in care, than other age groups. Few studies have examined factors predicting engagement in self-management interventions, which may support YAs’ T1D care and overall well-being. Methods: Using data from a T1D self-management RCT, we analyzed predictors of engagement among those randomized to the intervention who had reached the 6 month endpoint. Engagement was defined as the number of completed intervention sessions. Control variables were measured at baseline. Ordinary least-squares regression was used, entering categories of predictors in separate steps: 1) demographics: age, gender, race/ethnicity, insurance status, parental education; 2) clinical: A1c, duration of T1D, device use; 3) behavioral: medication adherence, diabetes self-management (DSMQ); 4) psychosocial: diabetes distress (DDS), self-efficacy (DES-SF), and autonomous motivation (TSRQ). Results: Participants (n=87) were 24 (±4) yrs old, 60% female, 49% Hispanic/Latinx and 43% White, and completed a mean of 9.5 intervention sessions (range: 0-24). In the final model (p=0.0003), engagement was associated with low parental education (parameter estimate -4.1 visits), being uninsured (+3.6 visits), and higher glucose monitoring (-1.1 visits) and physical activity (-0.6 visits) on the DSMQ. Discussion: Clinical and psychosocial variables were unrelated to OT visits; to an extent, poorer self-management predicted more visits. Indicators of SES were most predictive: low parental education decreased, and uninsured status increased, number of OT visits. Given that the factors most associated with engagement were indicators of SES, clinicians are encouraged to assess barriers and external factors that may impact access and participation as soon as possible in the therapeutic process, to facilitate engagement in services. Disclosure E.Pyatak: Research Support; Abbott Diabetes. J.Sideris: None. D.Fox: None. G.Granados: None. J.Diaz: None. J.Blanchard: None. A.R.Khurana: None. E.Salcedo-rodriguez: None. J.Raymond: None.

A-26 Area Deprivation Index and Clinical Outcome Following Concussion in Adolescents

Abstract Purpose The purpose of this study was to assess whether socioeconomic status is associated with clinical recovery time following concussion in adolescents. Methods Participants included adolescent student athletes (N=130; age M=16.6, SD=1.2; 60.8% boys, 39.2% girls) who attended one of nine selected high schools in Maine, USA. Schools were identified as either higher or lower SES based on the Area of Deprivation Index (ADI), and indicator of neighborhood disadvantage, associated with their address and the percent of students receiving free and reduced lunches. Athletic trainers entered injury and recovery dates into an online surveillance application between September 2014 and January 2020. Chi-square analyses and Kaplan-Meier survival analyses were used to compare the groups on two clinical outcomes: time to return to school and sports. Results Results of chi-square tests did not reveal between group differences in time to return to school at 21 or 28 days; however, groups differed in the percentage of adolescents who had returned to sports by 21 days (lower SES, 62.5%, higher SES 82.0%, χ2=4.96, p=.03, OR=2.73, 95% CI, 1.11-6.74) and 28 days (lower SES, 78.6%, higher SES 94.0%, χ2=5.18, p=.02, OR=4.27, 95% CI, 1.13-16.16) following concussion. Conclusions The adolescents attending lower SES schools took longer to reach medical clearance for return to sports. Further research is needed to better characterize factors underlying group differences in time to return to sports and examine a broader array of SES indicators. These results may reflect disparities in health care resources between schools serving higher versus lower SES areas.

Are “bad” jobs bad for democracy? Precarious work and electoral participation in Europe

IntroductionWhile socioeconomic inequality in voting has been central for research on electoral participation, recent years have seen radical changes in labor relations. The key issue is increasing prevalence of precarious work, involving dimensions as non-indefinite tenure and limited control over work activities. While occupations traditionally were the locus of political socialization, there is scarce research connecting occupational uncertainty to electoral participation. To fill this void, we develop a framework that connects the multiple dimensions of precarious work to electoral participation.MethodsWe test these ideas using data from 32 countries from the European Social Survey (2008–2018).Results and discussionResults indicate that work precarity is both strongly connected to traditional indicators of SES and has large, independent effects on probability of voting. We corroborate these results with heterogeneity analyses across countries. Findings show how precarious work heightens socio-economic stratification in electoral participation, undermining the universality of the right to vote and the health of democracies.

Does gender moderate the association between socioeconomic status and health? Results from an observational study in persons with spinal cord injury living in Morocco.

Socioeconomic status (SES) and gender are well-known social determinants of health. However, their impact on health in populations with physical disabilities in low-resource countries is still lacking. Therefore, the objective of this study was to investigate associations of individual SES with health and the moderating effect of gender on this association in a Moroccan population with a physical disability, namely spinal cord injury. Cross-sectional survey data from 385 participants with spinal cord injury living in Morocco were analyzed. SES was operationalized by education level, household income, financial hardship, and subjective social status. Health indicators included secondary conditions, pain, vitality, quality of life, and general health. Associations between SES and health indicators were investigated using linear and logistic regressions. To test the potential moderation of gender, interaction terms between SES and gender were introduced in regression models. Financial hardship and lower subjective social status were associated with poorer health outcomes in four out of five indicators in the total sample. In contrast, education and income were inconsistently associated with health. Overall, gender did not moderate the association between SES and health, except that educational inequalities in general health were more pronounced in women, and the observation of a trend for a stronger negative effect of subjective social status on men's than woman's health (p > 0.05). This study revealed that subjective indicators of SES negatively impact on health, whereas evidence for the moderating role of gender in this association was weak. These findings underline the importance to reduce social marginalization and poverty in populations with disabilities in low-resource countries to reduce their double burden of living with a disability and encountering social disadvantages through low SES.

Associations between socioeconomic status and screen time among children and adolescents in China: A cross-sectional study.

Socioeconomic status (SES) is an important determinant of screen time (ST) in children and adolescents, however, the association between SES and ST is not fully understood in China. This study aimed to investigate the association between SES and ST (operationalized as meeting the ST guidelines; no more than 2 hours per day) in Chinese children and adolescents. Cross-sectional data of 2,955 Chinese children and adolescents aged 8 to 17(53.4% girls) were used. SES was measured using indicators of parental education and perceived family wealth. ST was assessed with detailed items from the Health Behaviour School-aged Children survey questionnaires. Descriptive statistics and a Chi-square test were used to report the sample characteristics and analyse ST differences across different sociodemographic groups. A binary logistic regression was then applied to analyse the association of SES indicators with ST in children and adolescents. Overall, 25.3% of children and adolescents met the ST guidelines. Children and adolescents with higher parental education levels were 1.84 [95% CI 1.31-2.57; father] and 1.42 [95% CI 1.02-1.98; mother] times more likely to meet the ST guidelines than those with lower parental education levels. Associations between SES and ST varied across sex and grade groups. Moreover, the associations of SES with ST on weekdays and weekends were different. This study demonstrated the association between SES and ST in children and adolescents, highlighting the importance of targeting children and adolescents with low SES levels as an intervention priority. Based on our findings, specific interventions can be tailored to effectively reduce ST. Future studies are encouraged to use longitudinal or interventional designs to further determine the association between SES and ST.

Associations between socioeconomic status and risk of obesity and overweight among Chinese children and adolescents

BackgroundIn China, the threat of obesity and overweight in children and adolescents is developing quickly. It may be possible to lower the risk of obesity and overweight in children and adolescents by understanding the factors that drive these conditions. Therefore, this study aimed to investigate the association between SES and risk of obesity and overweight among children and adolesecnts in China’s provinces of Jiangsu, Anhui, Zhejiang, and Shanghai.MethodsChinese children and adolescents (n = 2,746; 46.3% boys) were recruited using multistage sampling. SES was measured using self-reported questionnaires, the specific indicators were parental education, perceived family wealth, and Family Affluence Scale II. Height and weight were measured and used to calculate body mass index (BMI, categorized into obesity or overweight). The definition of obesity or overweight was based on the Chinese standard "Screening for obesity and overweight among school-age children and adolescents". Descriptive statistics, independent sample t-tests, and a Chi-square test were used to report the sample characteristics and analyse BMI differences across different sociodemographic groups. A binary logistic regression was then applied to analyse the association of SES indicators with BMI in children and adolescents.ResultsOverall, 22.5% of children and adolescents were obese or overweight. Participants with medium and high maternal education levels were 1.48 [95% CI 1.15–1.91] and 1.47 [95% CI 1.03–2.11] times more likely to be obese/overweight. Girls with medium maternal education levels were 1.70[95% CI 1.21–2.40] times more likely to be obese/overweight. For boys, no association was observed. Junior middle school students with medium maternal education levels were 1.51[95% CI 1.10–2.07] times more likely to be obese/overweight. Participants with medium or high FAS, perceived family wealth, or paternal education levels were not associated with obesity/overweight.ConclusionsThe findings of this study indicated a positive association between SES and risk of overweight/obesity in girls, suggesting that maternal education level may have a substantial impact on future prevention efforts for these conditions in girls. To increase the effectiveness of interventions, longitudinal studies are necessary to better understand the causal association between SES and obesity/overweight.

Construction and validation of CAPSES scale as a composite indicator of SES for health research: an application to modeling social determinants of cardiovascular diseases

BackgroundThe main objective of this study was to construct and validate a composite socioeconomic status indicator containing material capital, human capital, and social capital (CAPSES scale) and also appropriate it for CVDs in a large population-based study.MethodsThis cross-sectional study, the Urban HEART-2 project, was conducted in Tehran, Iran, in 2011. A total of 34,116 households covering 118,542 individuals were assessed in this study. A 14-parts questionnaire was completed for all selected households. All the gathered data were based on the participants’ self-reports. Literacy, wealth index, expenditure, skill level, and Townsend index were used as SES indexes. CVDs, including Hypertension, Myocardial infarction, and stroke, were considered the main outcomes. A structural equation model (SEM) was used to construct a CAPSES scale and a composition index of SES. Criterion validity and Construct validity were used to assess this scale.ResultsA total of 91,830 subjects consisting of 33,884 (49%) men were included in this analysis. The mean age of the participants was 41.5 ± 11.37 years. Among the assessed participants, 5904(6.4%) reported hypertension, 1507(1.6%) myocardial infarction, and 407(0.4%) strokes. The overall weighted prevalence of self-reported cardiovascular events (hypertension, stroke, and MI) was 8.03% (95%CI: 7.8–8.2). Inverse associations were seen between the CAPSES scale and its domains with CVDs, adjusted for sex, age, BMI, smoking, and diabetes by a multiple logistic regression model.ConclusionThe CAPSES scale was significantly associated with stroke and hypertension. Our findings showed that the CAPSES index could be useful for public health research.

Gender-Specific Associations between Late-Life Disability and Socioeconomic Status: Findings from the International Mobility and Aging Study (IMIAS)

Disability is a dynamic process and can be influenced by a sociocultural environment. This study aimed to determine whether the associations between socioeconomic status and late-life disability differ by gender in a multi-sociocultural sample from different countries. A cross-sectional study was developed with 1362 older adults from The International Mobility in Aging Study. Late-life disability was measured through the disability component of the Late-Life Function Disability Instrument. Level of education, income sufficiency and lifelong occupation were used as indicators of SES. The results indicated that a low education level β = -3.11 [95% CI -4.70; -1.53] and manual occupation β = -1.79 [95% -3.40; -0.18] were associated with frequency decrease for men, while insufficient income β = -3.55 [95% CI -5.57; -1.52] and manual occupation β = -2.25 [95% CI -3.89; -0.61] played a negative role in frequency for women. For both men β = -2.39 [95% -4.68; -0.10] and women β = -3.39 [95% -5.77; -1.02], insufficient income was the only factor associated with greater perceived limitation during life tasks. This study suggested that men and women had different late-life disability experiences. For men, occupation and education were associated with a decrease in the frequency of participation, while for women this was associated with income and occupation. Income was associated with perceived limitation during daily life tasks for both genders.

Direct and indirect effects of socioeconomic status on sepsis risk and mortality: a mediation analysis of the HUNT Study

BackgroundSocioeconomic status (SES) may influence risk of sepsis and sepsis-related mortality, but to what extent lifestyle and health-related factors mediate this effect is not known.MethodsThe study included 65 227 participants...

The relationship between urban locality, socioeconomic status and school achievement in Stockholm county, Sweden: evidence from an intra-urban model

The current article examines geographical location–academic achievement relationships in the Stockholm region, Sweden. The results suggest that there is a substantial association between the distance to the Stockholm city center and the intake ratings among 373 programs that were selected for analysis in the present study. This relationship became slightly more distinct when the top ten and bottom ten programs were compared. However, a socioeconomic control variable explained most of the variance in a consecutive regression model. Moreover, while non-native background was negatively related to intake ratings, this effect decreased virtually to zero when this variable was tested in the regression model which also included a SES indicator. Some educational policy implications are discussed.