Socioeconomic disparities in health change in a longitudinal study of US adults: the role of health-risk behaviors

Exploring Cervical Cancer Screening Uptake among Women in the United States: Impact of Social Determinants of Health and Psychosocial Determinants

Several non-medical factors, such as income, education, and access to care, directly or indirectly affect adherence to cancer screening guidelines. We examined the impact of social determinants of health (SDOH) and psychosocial factors on screening behavior in a nationally representative sample of women in the US. A retrospective population-level cross-sectional sample was extracted from the 2022 Health Information National Trends Survey. The dependent variables were the interest in cervical cancer screening and the screening behavior. The independent variables included SDOH and psychosocial factors. Descriptive statistics were calculated for demographics and covariates, and population-based estimates with 95% confidence intervals (CI) were produced for Pap testing behaviors. Logistic regression models assessed differences in Pap testing based on SDOH and psychosocial factors, adjusting for covariates. The study included 2224 women with a mean age of 46.96. Results showed that 90% of women were interested in cervical cancer screening, with an 80% screening rate. Screening rates varied by age and rurality. SDOH and psychosocial factors influenced both interest and actual screening, with 3% and 1% impacts, respectively. These findings suggest that SDOH and psychosocial factors are associated with cervical cancer screening uptake, highlighting the need for policies to address these disparities. Policies must be directed at bridging the gap created by these SDOHs. Public health professionals and researchers can design interventions using the SDOH and psychosocial frameworks to increase cervical cancer screening uptake.

Income, aging, and the gendered patterns of wellness: Physical health and subjective well-being in China

This article investigates the impact of demographic and socioeconomic inequalities on wellness, composed of both physical health and subjective well-being. We examine how gender inequality moderates the joint effects of aging and income on wellness in China. Utilizing generalized linear mixed model (GLMM), we analyze data from the Chinese General Social Survey (CGSS) spanning from 2003 to 2021. Our results reveal that income inequality disproportionately affects physical health among older, underweight, lower-class females; males are more susceptible to negative impacts on subjective well-being, particularly among lower-class, middle-aged males. These gendered patterns are situated in the contemporary Chinese society and are explained in relation to intra-household distributional inequality and the gender role expectations in the Confucian culture. We also discussed the policy implications of how to reduce the gaps in wellness across social classes, age cohorts, and genders.

Cognitive Dissonance in the Self-assessed Health in Brazil: A CUB Model Analysis Using 2013 National Health Survey Data

This study ai ms to verify and analyze the existence of cognitive dissonance in the self-assessment of health by individuals in Brazil, that is, the difference between self-rated health and the health status of individuals. To accomplish this, we use data from the 2013 National Health Survey, which collected the self-assessments that individuals made of their health and information about their health status. This information was used to build indices that seek to represent a person's health status in relation to chronic illnesses, physical and mental well-being, eating habits and lifestyle. To identify the presence of cognitive dissonance, the CUB (Combination of a discrete Uniform and shifted Binomial distributions) model was used, which relates self-assessed health with the developed indices. Cognitive dissonance was identified in self-assessed health in relation to eating habits and lifestyle, and this dissonance may be associated with a present bias in the self-assessment of health in Brazil.

Racial Context and Health Behaviors Among Black Immigrants

Testing the Racial Context Hypothesis (Read and Emerson 2005), we examine the relationship between racial context of origin and three health behaviors (smoking, drinking, and physical activity) among Black immigrants in the USA. We conduct multinomial logistic regression analyses using data from the 2000-2018 National Health Interview Survey (N = 248,401) to determine if racial context of origin is a mechanism of health differential between Black immigrants and US-born Black Americans. Supporting the Racial Context Hypothesis, we find that Black immigrants from racially mixed (Mexico, Central America, the Caribbean, South America) and majority-Black contexts (Africa) are significantly less likely to be current or former smokers and drinkers than US-born Black Americans. Black immigrants from majority-white (Europe) contexts, on the other hand, look more similar to US-born Black Americans - again supporting the premise that racial context of origin is consequential for health. After controlling for a host of covariates, Black immigrants do not significantly differ from US-born Black Americans in exercise status. Together, these findings suggest that the impacts of racism and white supremacy have lasting effects on people of color, where Black immigrants from majority-white contexts exhibit worse health behaviors than their counterparts from majority-Black and racially mixed regions.

Evaluating a Campus Food Pantry's Potential Impact on Nutrition Security using the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) Framework

Background

Campus food pantries are uniquely positioned to promote health equity with the foods they make accessible to food-insecure students.

Objectives

This study assessed the implementation and effectiveness of a client-choice campus food pantry to understand its potential impact on nutrition security and to inform future implementation.

Methods

This observational study was designed using the reach, effectiveness, adoption, implementation, and maintenance framework, leveraging administrative data collected from a client-choice campus food pantry at a large Midwest university from August 2020 to May 2022. Pantry staff tracked student usage and item inventory. Items were analyzed for specific nutrients using the Nutrition Data System for Research. The mean nutrients and servings per food group distributed per visit were calculated and compared with dietary recommendations (effectiveness). Characteristics of pantry operation and setup were detailed (adoption). The percentage of openings with adequate stock to meet distribution guidelines was determined (implementation). Descriptive statistics were calculated, and multiple linear regressions determined whether significant changes in nutrients and food were distributed based on distribution guidelines and stock available.

Results

Effectiveness: Vitamin D, fruits, vegetables, and whole grains were below 3 d of the recommended intake for all students, and energy, fiber, potassium, vitamin A, and grains were low for male students. Adoption: The pantry was established through a collaboration with a pre-existing community food pantry and operates as a 501(c) and is managed by campus recreation staff. Implementation: The pantry supplied enough produce for 72% of openings to meet distribution guidelines and enough dairy for 63% of openings.

Conclusions

The food and nutrients distributed in limited amounts are consistent with those underconsumed according to the Dietary Guidelines for Americans. More research is needed to understand how pantry implementation can best support nutrition security through the adequate distribution of key nutrients and food groups.

Effects of multimorbidity patterns and socioeconomic status on catastrophic health expenditure of widowed older adults in China

Background

The high multimorbidity and lower socioeconomic status (SES) of older adults, can lead to catastrophic health expenditures (CHEs) for older adults' households. However, whether widowed older adults will bear such a financial burden has yet to be explored. The aim of this study was to investigate the influence of multimorbidity patterns and SES on CHE in Chinese widowed older adults.

Methods

Data was obtained from the 2018 China Health and Retirement Longitudinal Study (CHARLS). This is a cross-sectional study. A total of 1,721 widowed participants aged 60 years and older were enrolled in the study. Latent class analysis was performed based on 14 self-reported chronic diseases to identify multimorbidity patterns. The logistic model and Tobit model were used to analyze the influence of multimorbidity patterns and SES on the incidence and intensity of CHE, respectively.

Results

About 36.72% of widowed older adults generated CHE. The incidence and intensity of CHE were significantly higher in the cardiovascular class and multisystem class than in the minimal disease class in multimorbidity patterns (cardiovascular class, multisystem class, and minimal disease class). Among SES-related indicators (education, occupation and household per capita income), respondents with a middle school and above education level were more likely to generate CHE compared to those who were illiterate. Respondents who were in the unemployed group were more likely to generate CHE compared to agricultural workers. In addition, respondents aged 70-79 years old, geographically located in the east, having other medical insurance, or having fewer family members are more likely to generate CHE and have higher CHE intensity.

Conclusion

Widowed older adults are at high risk for CHE, especially those in the cardiovascular and multisystem disease classes, and those with low SES. Several mainstream health insurances do not provide significant relief. In addition, attention should be paid to the high-risk characteristics associated with CHE. It is necessary to carry out the popularization of chronic disease knowledge, improve the medical insurance system and medical service level, and provide more policy preferences and social support to widowed older adults.

Socio-economic inequalities in health among older adults in China

OBJECTIVES

This study aimed to explore socio-economic inequalities in the health status of older people in China using the most recent data available.

STUDY DESIGN

This was a cross-sectional study.

METHODS

Data for this study were obtained from the 2018 China Health and Retirement Longitudinal Study, which included 9831 subjects aged 60 years and older. We assessed differences in the prevalence of self-reported health, functional limitations, and chronic conditions by education level and household income level, and then estimated the Slope of Inequality Index (SII) and the Relative Inequality Index (RII) - indexes of the relative magnitude of socio-economic inequalities in health.

RESULTS

We found inequalities in all dimensions of health (self-assessed health status, reported chronic conditions, and physical functional limitations) at the household income level. Physical functional limitations, particularly the ability to perform instrumental activities of daily living, produced greater inequality than other domains, with an adjusted SII of 0.495 (95% CI, 0.467-0.524) and an adjusted RII of 2.129 (95% CI, 1.604-2.653). ADL limitations (adjusted SII, 0.524, 95% CI, 0.473-0.575, adjusted RII, 1.527, 95% CI, 1.027-2.027) and self-measured health (adjusted SII, 0.523, 95% CI, 0.258-0.789, adjusted RII, 1.531, 95% CI, 0.551-2.512) were also clearly different. Inequalities were also found across all health domains in terms of educational attainment. Consistent with inequalities in household income, inequalities were greatest for limitations in the ability to perform instrumental activities of daily living (adjusted SII, 0.581, 95% CI, 0.424-0.739, adjusted RII, 3.699, 95% CI, 3.642-3.757). Relative inequalities in limitations in activities of daily living (adjusted SII, 0.676, 95% CI, 0.560-0.792, adjusted RII, 2.587, 95% CI, 2.392-2.784) and self-rated health (poor/very poor) (adjusted SII, 0.647, 95% CI, 0.617-0.677, adjusted RII, 2.406, 95% CI, 2.224-2.587) were also higher.

CONCLUSION

Our study shows significant socio-economic differences in the areas of self-rated health, functional limitations, and reported chronic diseases, particularly in the area of IADL limitations. These inequalities need to be explicitly addressed and vulnerable subgroups should be targeted to reduce the socio-economic disparities.

Impact of socioeconomic status on the clinical outcomes in hospitalised patients with SARS-CoV-2 infection: a retrospective analysis

Aim

A disadvantaged socioeconomic status (SES) was previously associated with higher incidence and poor outcomes both of non-communicable diseases (NCDs) and infectious diseases. Inequalities in health services also have a negative effect on the coronavirus disease 2019 (COVID-19) morbidity and mortality.

Subject and methods

The study analysed the role of SES measured by the educational level (EL) in hospitalised patients with COVID-19 between 9 March 2020 and 20 September 2021 at our centre of infectious diseases. Clinical outcomes were: length of hospitalisation, in-hospital mortality and the need of intensive-care-unit (ICU) support.

Results

There were 566 patients included in this retrospective analysis. Baseline EL was: illiterate (5, 0.9%), primary school (99, 17.5%), secondary school (228, 40.3%), high school (211, 37.3%), degree (23, 4.1%); median age was higher in low EL (72.5 years vs 61 years, p = 0.003), comorbidity (56% in low EL, 34.6% in high EL, p < 0.001), time from the symptoms and PCR diagnosis (8.5 days in low EL, 6.5 days in high EL, p < 0.001), hospitalisation length (11.5 days in low EL, 9.5 days in high EL, p = 0.011), mortality rate (24.7% in low EL, 13.2% in high EL, p < 0.001). In the multivariate analysis there were predictors of mortality: age (OR = 4.981; 95%CI 2.172-11.427; p < 0.001), comorbidities (OR = 3.227; 95%CI 2.515-11.919; p = 0.007), ICU admission (OR = 6.997; 95%CI 2.334-31.404; p = 0.011), high vs low EL (OR = 0.761; 95%CI 0.213-0.990; p = 0.021). In survival analysis, higher EL was associated with a decreased risk of mortality up to 23.9%.

Conclusion

Even though the EL is mainly related to the age of patients, in our analysis, it resulted as an independent predictor of in-hospital mortality and hospitalisation time. Unfortunately, this is a study focused only on hospitalised patients, and we did not examine the possible effect of EL in outpatients. Further analyses are required to confirm this suggestion and provide novel information.

Contextual influence on poor self-rated health in patients with Chagas disease: multilevel study

Chagas disease (CD) is recognized by the World Health Organization as one of the thirteen most neglected tropical diseases in the world. Self-perceived health is considered a better predictor of mortality than objective measures of health status, and the context in which one lives influences this predictor. This study aimed to evaluate the prevalence and individual and contextual factors associated with poor self-rated health among CD patients from an endemic region in Brazil. It is a multilevel cross-sectional study. The individual data come from a cross-section of a cohort study named SaMi-Trop. Contextual data was collected from publicly accessible institutional information systems and platforms. The dependent variable was self-perceived health. The analysis was performed using multilevel binary logistic regression. The study included 1,513 patients with CD, where 335 (22.1%) had Poor self-rated health. This study revealed the influence of the organization/offer of the Brazilian public health service and of individual characteristics on the self-perceived health of patients with CD.

Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index

OBJECTIVE

Artificial intelligence (AI) models may propagate harmful biases in performance and hence negatively affect the underserved. We aimed to assess the degree to which data quality of electronic health records (EHRs) affected by inequities related to low socioeconomic status (SES), results in differential performance of AI models across SES.

MATERIALS AND METHODS

This study utilized existing machine learning models for predicting asthma exacerbation in children with asthma. We compared balanced error rate (BER) against different SES levels measured by HOUsing-based SocioEconomic Status measure (HOUSES) index. As a possible mechanism for differential performance, we also compared incompleteness of EHR information relevant to asthma care by SES.

RESULTS

Asthmatic children with lower SES had larger BER than those with higher SES (eg, ratio = 1.35 for HOUSES Q1 vs Q2-Q4) and had a higher proportion of missing information relevant to asthma care (eg, 41% vs 24% for missing asthma severity and 12% vs 9.8% for undiagnosed asthma despite meeting asthma criteria).

DISCUSSION

Our study suggests that lower SES is associated with worse predictive model performance. It also highlights the potential role of incomplete EHR data in this differential performance and suggests a way to mitigate this bias.

CONCLUSION

The HOUSES index allows AI researchers to assess bias in predictive model performance by SES. Although our case study was based on a small sample size and a single-site study, the study results highlight a potential strategy for identifying bias by using an innovative SES measure.

Parental preference for boys in childhood and the health of the elderly: Evidence from China

OBJECTIVE

This study analyzed the relationship between parents' son preference in a person's childhood and their health when they become older, and tested whether childhood educational opportunities, health level, and care resources play mediating roles in this relationship.

BACKGROUND

China has entered a stage of aging population. The health of the elderly determines whether the government can successfully cope with the challenges brought about by the aging of the population. Chinese people are deeply influenced by Confucianism. The concept of "son preference" is related to residents' parenting strategies. Then, if one's parents exhibit a son preference in their childhood, will it affect one's health in old age?

METHOD

Based on the data of China Health and Retirement Longitudinal Study collected in 2014, this paper uses the least square method to analyze the impact of parents' preference in childhood for boys on the health of the elderly, and uses Karlson-Holm-Breen (KHB) to analyze the mediating effects of childhood educational opportunities, health level and care resources.

RESULTS

This study found that parents' preference for boys had a positive impact on the health of male children when they became elderly but had a negative impact on the health of female children when they became elderly. Childhood educational opportunities, health level, and care resources mediated this relationship.

CONCLUSION

It is necessary to analyze the impact of parents' preference for sons in one's childhood on the health of elderly, and intervene the adverse factors affecting the health, to improve the health level and quality of life of the elderly.

The Impact of Harsh Parenting on the Development of Obesity in Adulthood: An Examination of Epigenetic/Gene Expression Mediators Among African American Youth

Objective: We examined the association of prospectively assessed harsh parenting during adolescence with body mass index (BMI) in young adulthood among African American youth. We also assessed the role of methylation of obesity-related genes and gene expression markers of obesity as mediators of this association, providing a pathway for the biological embedding of early harsh parenting and its long-term impact on young adult health.

Methods: Hypotheses were tested with a sample of 362 African American youth for whom harsh parenting was assessed at ages 10–15, BMI was assessed at age 10 and 29, and both DNA methylation (DNAm) and gene expression of obesity genes were assessed at age 29. Mediational analyses were conducted using bootstrap methods to generate confidence intervals.

Results: Controlling for genetic risk for obesity and health-related covariates, harsh parenting across childhood and adolescence was associated with change in BMI (Δ BMI) from ages 10–29. In addition, we found that the indirect effect of harsh parenting on Δ BMI was mediated through obesity-related DNAm and accounted for 45.3% of the total effect. Further, obesity-related DNAm mediated the effect of harsh parenting on gene expression of obesity-related genes (GEOG), and GEOG, in turn, mediated the impact of obesity-related DNAm on ΔBMI. This pathway accounted for 3.4% of the total effect. There were no gender differences in the magnitude of this indirect effect.

Conclusions: The results suggest that alterations in methylation and gene expression mediate the impact of harsh parenting on change in obesity from childhood to young adulthood, illustrating plausible biological pathways from harsh parenting to obesity and bolstering the hypothesis that harsh parenting in childhood and adolescence can become biologically embedded and contribute to obesity.

Is Loneliness an Undervalued Pathway between Socio-Economic Disadvantage and Health?

Loneliness is a growing public health issue. It is more common in disadvantaged groups and has been associated with a range of poor health outcomes. Loneliness may also form an independent pathway between socio-economic disadvantage and poor health. Therefore, the aim of this study was to explore the contribution of loneliness to socio-economic health inequalities. These contributions were studied in a Dutch national sample (n = 445,748 adults (≥19 y.o.)) in Poisson and logistic regression models, controlling for age, gender, marital status, migration background, BMI, alcohol consumption, smoking, and physical activity. Loneliness explained 21% of socioeconomic health inequalities between the lowest and highest socio-economic groups in self-reported chronic disease prevalence, 27% in poorer self-rated health, and 51% in psychological distress. Subgroup analyses revealed that for young adults, loneliness had a larger contribution to socioeconomic gaps in self-rated health (37%) than in 80+-year-olds (16%). Our findings suggest that loneliness may be a social determinant of health, contributing to the socioeconomic health gap independently of well-documented factors such as lifestyles and demographics, in particular for young adults. Public health policies targeting socioeconomic health inequalities could benefit from integrating loneliness into their policies, especially for young adults.

Predicting nonrecovery in adults with incident traffic injuries including post-traumatic headache

IMPORTANCE

The management of traffic injuries is challenging for clinicians. Knowledge about predictors of nonrecovery from traffic injuries may help to improve patient care.

OBJECTIVE

To develop a prediction model for self-reported overall nonrecovery from traffic injuries six months post-collision in adults with incident traffic injuries including post-traumatic headache (PTH).

DESIGN

Inception cohort studies of adults with incident traffic injuries (including PTH) injured in traffic collisions between November 1997 and December 1999 in Saskatchewan, Canada; and between January 2004 and January 2005 in Sweden.

METHODS

Prediction model development and geographical external validation.

SETTING

The Saskatchewan cohort (development) was population-based (N = 4,162). The Swedish cohort (validation) (N = 379) were claimants from two insurance companies covering 20% of cars driven in Sweden in 2004.

PARTICIPANTS

All adults injured in traffic collisions who completed a baseline questionnaire within 30 days of collision. Excluded were those hospitalized > 2 days, lost consciousness > 30 min, or reported headache < 3/10 on the numerical rating scale. Follow-up rates for both cohorts were approximately 80%.

PREDICTORS

Baseline sociodemographic, pre-injury, and injury factors.

OUTCOME

Self-reported nonrecovery from all injuries (not "all better (cured)" on the self-perceived recovery scale) six months after traffic collision.

RESULTS

Both cohorts were predominantly female (69.8% in Saskatchewan, 65.2% in Sweden), with median ages 35.9 years (Saskatchewan), and 38.0 years (Sweden). Predictors were age, low back pain, symptoms in arms or hands, hearing problems, sleeping problems, pre-existing headache, and lower recovery expectations. With a positive score (i.e., ≥0.85 probability), the model can rule in the presence of self-reported nonrecovery from all injuries at six months (development: specificity = 91.3%, 95% CI 89.2%-93.0%; sensitivity = 27.8%, 95% CI 26.0%-29.7%; positive likelihood ratio (LR + ) = 3.2, 95% CI 2.5-4.0; negative likelihood ratio (LR-) = 0.79, 95% CI 0.76-0.82; validation: specificity = 72.6%, 95% CI 61.4%-81.5%; sensitivity = 60.5%, 95% CI 53.9%-66.7%); LR+ = 2.2, 95% CI 1.5-3.3; LR- = 0.5, 95% CI 0.4-0.7).

CONCLUSIONS AND RELEVANCE

In adults with incident traffic injuries including PTH, predictors other than those related to baseline head and neck pain drive overall nonrecovery. Developing and testing interventions targeted at the modifiable predictors may help to improve outcomes for adults after traffic collision.

The Impact of Socioeconomic Status on the Clinical Outcomes of COVID-19; a Retrospective Cohort Study

There have been limited data assessing the influence of disadvantaged socioeconomic status (SES) on the incidence and clinical outcomes of COVID-19 patients within the diverse communities of the United States. Here, we aim to investigate the association between poverty level, as an indicator of SES, and COVID-19 related clinical outcomes including hospitalization and all-cause mortality. This retrospective cohort study included 3528 patients with laboratory confirmed COVID-19 seen at a large New York City health system between March 1, 2020 and April 1, 2020. Data for neighborhood level poverty was acquired from the American Community Survey 2014-2018 and defined as the percent of residents in each ZIP code whose household income was below the federal poverty threshold (FPT): 0% to < 20% below FPT (low poverty) and > 20% below FPT (high poverty). COVID-19 positive patients who resided in high poverty areas were significantly younger, had a higher prevalence of comorbidities and were more likely to be of female gender or a racial minority when compared to individuals living in low poverty areas. Residence in a high poverty area was not associated with an increased risk of COVID-19 related hospitalization and was found to be associated with a decreased risk of in-hospital mortality. This study suggests the existence of an unequal socioeconomic gradient in the demographic and clinical presentation of COVID-19 patients including differences in age, gender and race between poverty groups. Further studies are needed to fully assess the intersectionality of SES with the COVID-19 pandemic.

Multidimensional healthy life expectancy of the older population in China

Research on healthy life expectancy (HLE) that considers cognitive impairment has been inadequate, particularly in the context of less developed countries. Using data from the China Health and Retirement Longitudinal Study, our study fills this research gap by computing active life expectancy (ALE), cognitive-impairment-free life expectancy (CIFLE), and active and cognitive-impairment-free life expectancy (ACIFLE) for China's older population, using multistate life tables. Results show that at age 60, the three life expectancies were 19.4 years (ALE), 9.5 years (CIFLE), and 8.8 years (ACIFLE) during the period 2011-13. HLE exhibits significant differentials by sex, urban/rural residence, educational level, marital status, and health status at age 60. Among China's older people, males and those living in urban areas experience higher CIFLE, and those who live with a spouse, are more educated, and are healthy at age 60 expect more years in good health according to all three HLE measures.Supplementary material for this article is available at: https://doi.org/10.1080/00324728.2021.1914854.

Ranking populations in terms of inequality of health opportunity: A flexible latent type approach

We offer a flexible latent type approach to rank populations according to unequal health opportunities. Building upon the latent-class method, an approch increasingly adopted to estimate health inequalities, our contribution is to let the number of socioeconomic groups considered vary to obtain an opportunity-inequality curve for a population that gives how the between-type inequality varies with the number of types. A population A is said to have less inequality of opportunity than population B if its curve is statistically below that of population B. This version of the latent class approach allows for a robust ranking of 31 European countries regarding inequality of opportunity in health.

Self-Reported ADHD and Adult Health in the United States

Objective: Informed by a social determinants of health framework, we investigate the relationship between self-reported ADHD diagnosis status and adult health, and whether observed associations are attenuated by biomedical and socioeconomic factors. Method: Using 2007 National Health Interview Survey data (N = 19,104), we present multivariate logistic regression analyses of associations between self-reported ADHD diagnosis status and five adult health outcomes. Results: ADHD diagnosis was significantly associated with higher odds of injury, physical health conditions, functional limitations, fair/poor health, and psychological distress in fully specified models (adjusted odds ratios [AORs] = 1.62-2.36). Inclusion of controls for exogenous demographic characteristics, psychiatric comorbidities and health behaviors, and adult social and economic statuses attenuated but did not eliminate observed associations between ADHD and poorer adult health. Conclusion: Research on adult health outcomes for those with ADHD should include consideration of the mechanisms by which a diagnosis of ADHD leads to cumulative social disadvantages that independently contribute to poorer health outcomes.

Food Insecurity and Pediatric Obesity: a Double Whammy in the Era of COVID-19

PURPOSE OF REVIEW

This review examines the current evidence about the ways in which food insecurity relates to obesity in children and adolescents, examining diet and diet-related behaviors, and taking into consideration the role of stress.

RECENT FINDINGS

While living with food insecurity impacts stress and diet-related behaviors in children and adolescents, it is not clear whether food insecurity is associated with obesity above and beyond the influence of poverty. However, strategies to mitigate food insecurity and obesity are inherently connected, and recent examples from clinical practice (e.g., screening for food insecurity among patients) and advocacy (e.g., policy considerations regarding federal food programs such as the Supplemental Nutrition Assistance Program, or SNAP) are discussed. Food insecurity and obesity coexist in low-income children and adolescents in the USA. The COVID-19 pandemic exerts disproportionate burden on low-income children and families, magnifying their vulnerability to both food insecurity and pediatric obesity.

Association of Family Income with Health Indices and Healthcare Utilization in a Large Sample of Residents in Northern Greece

Objective:To describe the impact of subjects' family income, which was used as a proxy for socioeconomic status, with health characteristics and healthcare utilization of a large representative sample of population in Northern Greece, taking into account several socio-demographic characteristics and health behaviors of the participants. Material and method:Eight hundred and twelve participants (43.7% males) with a mean age of 49.±14.8 years (range 19-83 years), from the area of Thrace, Greece, were enrolled in this cross-sectional populational study. A two-stage stratified sampling scheme was used and subjects were classified, according to the net mean monthly household income, into three financial levels: low .1000 Euro; medium 1001-2000 Euro; and high >2000 Euro. Self-reported questionnaires for socio-demographic, lifestyle and health related characteristics were collected. Sleep characteristics, utilizing Epworth Sleepiness Scale, Athens Insomnia Scale, Pittsburgh Sleep Quality Index and Berlin Questionnaire, and mental health, using Zung Self-rating Anxiety Scale and Beck Depression Inventory have been also assessed. Results:The majority of participants belonged to the lower income level (476 subjects, 58.6%). Lower income level was associated with a higher prevalence of high alcohol consumption (p=0.030), low adherence to Mediterranean diet (p=0.016), low physical activity (p<0.001) and either short or long nocturnal sleep duration (p<0.001). After adjusting for all socio-demographic and lifestyle characteristics, subjects with low income had a higher risk for anxiety (aOR=1.97, p=0.017), depression (aOR=4.88, p<0.001), dyslipidemia (aOR=2.50, p=0.007), diabetes (aOR=3.58, p<0.001), obesity (aOR=1.97, p=0.038), cardiovascular disease (aOR=3.04, p=0.015) and sleep disorders, as well as for primary (aOR=3.56, p=0.017) and secondary (aOR=2.49, p=0.010) healthcare utilization compared to subjects with high income. Conclusion:Low income is an important factor, which adversely affects the health of individuals via different pathways such as adaptation of harmful everyday habits. Large-scale prospective cohort studies are necessary to verify these associations in a methodologically more robust way.

Racial-ethnic differences in prevalence of social determinants of health and social risks among middle-aged and older adults in a Northern California health plan

BACKGROUND

Social determinants of health (SDoHs) and social risks (SRs) have been associated with adverse health and healthcare utilization and racial/ethnic disparities. However, there is limited information about the prevalence of SRs in non-"safety net" adult populations and how SRs differ by race/ethnicity, age, education, and income.

METHODS

We analyzed weighted survey data for 16,247 White, 1861 Black, 2895 Latino, 1554 Filipino, and 1289 Chinese adults aged 35 to 79 who responded to the 2011 or 2014/2015 Kaiser Permanente Northern California Member Health Survey. We compared age-standardized prevalence estimates of SDoHs (education, household income, marital status) and SRs (financial worry, cost-related reduced medication use and fruit/vegetable consumption, chronic stress, harassment/discrimination, health-related beliefs) across racial/ethnic groups for ages 35 to 64 and 65 to 79.

RESULTS

SDoHs and SRs differed by race/ethnicity and age group, and SRs differed by levels of education and income. In both age groups, Blacks, Latinos, and Filipinos were more likely than Whites to be in the lower income category and be worried about their financial situation. Compared to Whites, cost-related reduced medication use was higher among Blacks, and cost-related reduced fruit/vegetable consumption was higher among Blacks and Latinos. Younger adults were more likely than older adults to experience chronic stress and financial worry. Racial/ethnic disparities in income were observed within similar levels of education. Differences in prevalence of SRs by levels of education and income were wider within than across racial/ethnic groups.

CONCLUSIONS

In this non-"safety net" adult health plan population, Blacks, Latinos, and Filipinos had a higher prevalence of social risks than Whites and Chinese, and prevalence of social risks differed by age group. Our results support the assessment and EHR documentation of SDoHs and social risks and use of this information to understand and address drivers of racial/ethnic disparities in health and healthcare use.

Educational Differences in Decline in Maximum Gait Speed in Older Adults Over an 11-Year Follow-up

Background

This study examined educational differences in decline in maximum gait speed over an 11-year follow-up in the general Finnish population aged 55 years and older and assessed the contribution of lifestyle factors, body mass index, physical workload, and chronic conditions on the association.

Method

Data from the nationally representative Health 2000 Survey and its 11-year follow-up were used. Participants aged 55 years and older with maximum gait speed measured at both time points were included (n = 1128). Information on education, age, sex, lifestyle factors, body mass index, physical workload, and chronic conditions was collected at baseline. General linear model was used to examine differences in decline in maximum gait speed between education groups. Mediation analyses using the product method was conducted to partition the total effect of education on decline in maximum gait speed into direct effect and indirect effect acting through mediators.

Results

Decline in maximum gait speed was greater in low and intermediate education groups in comparison to the high education group (0.24 m/s [95% confidence interval 0.21–0.26], 0.24 m/s [0.21–0.28], 0.10 m/s [0.07–0.14], respectively]. The most important mediators were higher body mass index and lifetime exposure to physical workload among the less educated, accounting for 10% and 11% of the total effect, respectively.

Conclusions

Education-based disparities in objectively measured mobility increase with age as lower education is associated with greater decline in gait speed. Higher body mass index and physical workload among less educated contributed most to the educational disparities in age-related decline in maximum gait speed.

Development and validation of a model predicting post-traumatic headache six months after a motor vehicle collision in adults

IMPORTANCE

The prognosis of post-traumatic headache is poorly understood.

OBJECTIVE

To develop and validate a prognostic model to predict the presence of post-traumatic headache six months after a traffic collision in adults with incident post-traumatic headache.

DESIGN

Secondary analyses of adults with incident post-traumatic headache injured in traffic collisions between November 1997 and December 1999 in Saskatchewan, Canada (development cohort); and between January 2004 and January 2005 in Sweden (validation cohort).

SETTING

The Saskatchewan cohort (development) was population-based (N = 4162). The Swedish cohort (validation) (N = 379) were claimants from two insurance companies covering 20 % of cars driven in Sweden in 2004.

PARTICIPANTS

All adults injured in traffic collisions who completed a baseline questionnaire within 30 days of collision. Excluded were those hospitalized >2 days, lost consciousness >30 min, or reported headache <3/10 on the numerical rating scale. Follow-up rates for both cohorts were approximately 80 %.

PREDICTORS

Baseline sociodemographic, pre-injury, and injury factors.

OUTCOME

Self-reported headache pain intensity ≥3 (numerical rating scale) six months after injury.

RESULTS

Both cohorts were predominantly female (69.7 % in Saskatchewan, 65.2 % in Sweden), with median ages 35.9 years (Saskatchewan), and 38.0 years (Sweden). Predictors were age, work status, headache pain intensity, symptoms in arms or hands, dizziness or unsteadiness, stiffness in neck, pre-existing headache, and lower recovery expectations. With a positive score (i.e., ≥0.75 probability), the model can rule in the presence of post-traumatic headache at six months (development: specificity = 99.8 %, 95 % CI 99.5 %-99.9 %; sensitivity = 1.6 %, 95 % CI 1.0 %-2.6 %; positive likelihood ratio (LR+) = 8.0, 95 % CI 2.7-24.1; negative likelihood ratio (LR-) = 1.0, 95 % CI 1.0-1.0; validation: specificity = 95.5 %, 95 % CI 91.1 %-97.8 %; sensitivity = 27.2 %, 95 % CI 20.4 %-35.2 %); LR+ = 6.0, 95 % CI 2.8-13.2; LR- = 0.8, 95 % CI 0.7-0.8).

CONCLUSIONS AND RELEVANCE

Clinicians can collect patient information on the eight predictors of our model to identify patients that will report ongoing post-traumatic headache six months after a traffic collision. Future research should focus on selecting patients at high risk of poor outcomes (using our model) for inclusion in intervention studies, and determining effective interventions for these patients.

Distinct trajectories of moderate to vigorous physical activity and sedentary behavior following a breast cancer diagnosis: the Pathways Study

PURPOSE

To identify distinct trajectories of total moderate-to-vigorous physical activity (MVPA) and sedentary behavior following a breast cancer diagnosis and their correlates.

METHODS

The analysis examined 3000 female breast cancer survivors within Kaiser Permanente Northern California between 2006 and 2013. Self-reported time spent on total MVPA and sedentary behaviors were assessed at baseline (mean = 1.8 months post-diagnosis) and at 6 and 24 months follow up. Trajectory groups were identified using group-based trajectory modeling and K-means for longitudinal data analysis. Trajectory groups were named by baseline activity level (high, medium, or low) and direction of change (increaser, decreaser, or maintainer).

RESULTS

Trajectory analyses identified three MVPA trajectories [high decreaser (7%), medium decreaser (35%), low maintainer (58%)] and four sedentary behavior trajectories [high maintainer (18%), high decreaser (27%), low increaser (24%), and low maintainer (31%)]. Women with higher education (ORs: 1.63-4.37), income (OR: 1.37), dispositional optimism (ORs: 1.60-1.86), and social support (OR: 1.33) were more likely to be high or medium decreasers of MVPA (all P < 0.05). High maintainers and high decreasers of sedentary behavior were more likely to have higher education (OR: 1.84) and social support (ORs: 1.42-1.86), but lower income (OR: 0.66; all P < 0.05).

CONCLUSIONS

In the 24 months following breast cancer diagnosis, 42% of survivors decreased MVPA and 73% maintained or increased time on sedentary behavior. Socioeconomic status and stress coping at diagnosis predicted subsequent PA trajectory.

IMPLICATIONS FOR CANCER SURVIVORS

It is important to prioritize exercise intervention and counseling during early stage of breast cancer survivorship, especially in survivors who are at high risk of becoming physically inactive post-diagnosis.

Psychological Well-Being as an Independent Predictor of Exercise Capacity in Cardiac Rehabilitation Patients With Obesity

Objective: Exercise capacity (EC) is a well-established predictor of cardiovascular health. It is notoriously influenced by several factors, but the independent effect of psychological well-being (PWB) on EC has not yet been explored. The present study aims to investigate (1) whether PWB is an independent predictor of EC over and above selected demographic, behavioral, and biomedical parameters in a sample of CR patients with obesity and (2) whether PWB is a stronger predictor of EC than the other variables.

Methods: Data from 1968 patients were collected at the time of their inclusion in a cardiac rehabilitation (CR) program and retrospectively analyzed in a cross-sectional study. Since cardiorespiratory parameters defined in normal weight populations differ from those of their obese counterparts, an ad hoc validated formula taking body mass index (BMI) into consideration was used to predict EC.

Results: A multiple regression analysis revealed left ventricular eject fraction (LVEF) to be the strongest predictor of EC, followed by PWB, type 2 diabetes (DM), smoking status, atrial fibrillation (AF), and education. Bayesian evaluation of informative hypotheses corroborated LVEF as the best predictor of EC, and confirmed the superiority of PWB over and above DM and smoking status in influencing EC.

Conclusion: These findings strengthen the link between psychological and physical health, suggesting a better PWB is associated with greater EC. Prompt screening of a patient’s mood and readiness to perform an active lifestyle would therefore enhance the long-term health benefits of CR.

The Pathway From Social Status to Physical Health: Taking a Closer Look at Stress as a Mediator

Stress is often invoked as a potential contributor to disparities in physical health as a function of social status. Although there is good reason to believe that stress exposure and stress responses may be an important pathway linking lower social status to poor health, direct evidence is lacking. We summarize the evidence for this pathway and limitations of that evidence, focusing particularly on how stress is conceptualized and measured. We argue that in addition to more direct tests of mediation, the measurement of the mediator—stress—could also be improved. We also propose that measuring theory-specific stress exposures may be more fruitful than assessing general stress exposures (e.g., life events, global perceived stress) by increasing theoretical clarity and predictive utility of stress in this context.

Race/Ethnic and Educational Disparities in the Association Between Pathogen Burden and a Laboratory-Based Cumulative Deficits Index

BACKGROUND

Disparities in adult morbidity and mortality may be rooted in patterns of biological dysfunction in early life. We sought to examine the association between pathogen burden and a cumulative deficits index (CDI), conceptualized as a pre-clinical marker of an unhealthy biomarker profile, specifically focusing on patterns across levels of social disadvantage.

METHODS

Using the data from the National Health and Nutrition Examination Survey 2003-2004 wave (aged 20-49 years), we examined the association of pathogen burden, composed of seven pathogens, with the CDI. The CDI comprised 28 biomarkers corresponding to available clinical laboratory measures. Models were stratified by race/ethnicity and education level.

RESULTS

The CDI ranged from 0.04 to 0.78. Nearly half of Blacks were classified in the high burden pathogen class compared with 8% of Whites. Among both Mexican Americans and other Hispanic groups, the largest proportion of individuals were classified in the common pathogens class. Among educational classes, 19% of those with less than a high school education were classified in the high burden class compared with 7% of those with at least a college education. Blacks in the high burden pathogen class had a CDI 0.05 greater than those in the low burden class (P < 0.05). Whites in the high burden class had a CDI only 0.03 greater than those in the low burden class (P < 0.01).

DISCUSSION

Our findings suggest there are significant social disparities in the distribution of pathogen burden across race/ethnic groups, and the effects of pathogen burden may be more significant for socially disadvantaged individuals.

Assessing Physical Activity Behavior of Cancer Survivors by Race and Social Determinants of Health

Introduction:

Black cancer survivors remain at a higher risk for secondary cancers, cancer recurrence, and comorbid conditions than non-Hispanic White survivors. Physical activity may help improve health outcomes and overall quality of life. We assessed cancer survivors’ physical activity by race/ethnicity and the effect of social determinants of health (SDH) constructs (i.e., economic stability, education, and access to health care) on physical activity.

Methods:

This was a cross-sectional analysis of data from the 2016 Behavioral Risk Factor Surveillance System. The outcome variable was physical activity after cancer diagnosis and the predictor variables were SDH and race. Multivariable logistic regressions were used to examine associations between race and physical activity and the effect of SDH on physical activity.

Results:

Among 3,787 cancer survivors, 91.6% self-identified as White and 8.4% as Black. Blacks were more likely than Whites to report low economic stability, low access to health care, and low health literacy (all p s < .01). Blacks were less likely than Whites to engage in physical activity after controlling for demographic and clinical factors (adjusted odds ratio [ORAdj] = 0.71; 95% confidence interval [CI] = 0.56–0.91; p = .01) and after additional adjustment of SDH (ORAdj = 0.77; 95% CI = 0.60–0.99; p = .04).

Conclusions:

The findings suggest that though Black cancer survivors are less than White to engage in physical activity, and SDH partially explained the racial difference in physical activity behaviors. These findings highlight the need to address barriers to health-care access, economic stability, and educational attainment.

Embracing Causal Complexity in Health Disparities: Metabolic Syndemics and Structural Prevention in Rural Minority Communities

Chronic discrimination and associated socioeconomic inequalities have shaped the health and well-being of Black Americans. As a consequence of the intersection of these factors with rural deprivation, rural Black Americans live and work in particularly pathogenic environments that generate disproportionate and interacting chronic comorbidities (syndemics) compared to their White and/or urban counterparts. Traditional prevention research has been unable to fully capture the underlying complexity of rural minority health and has generated mostly low-leverage interventions that have failed to reverse adverse metabolic outcomes among rural Black Americans. In contrast, novel research approaches-such as system dynamics modeling-that seek to understand holistic system structure and determine complex health outcomes over time provide a robust framework to develop a more accurate understanding of the key factors contributing to type 2 diabetes. This framework can then be used to establish more efficacious interventions to address disparities among minorities in rural areas. This paper advocates for a unified complex systems epistemology and methodology in advancing rural minority health disparities research. Toward this goal, we (1) provide an overview of rural Black American metabolic health research, (2) introduce a complex systems framework in rural minority health disparities research, and (3) demonstrate how community-based system dynamics modeling and simulation can help us plow new ground in rural minority health disparities research and action. We anticipate that this paper can serve as a catalyst for a long-overdue discourse on the relevance of complex systems approaches in minority health research, with practical benefits for numerous disproportionately burdened communities.

Socioeconomic status as the strongest predictor of self-rated health in Iranian population; a population-based cross-sectional study

BACKGROUND

There is little evidence comparing the role of subjective versus objective indicators of socioeconomic status (SES) on individuals' self-rated health (SRH) in Iran.

OBJECTIVES

We aimed to investigate underlying predictors of SRH including subjective and objective SES in Tehran, a multi-ethnic city.

METHOD

This is an analysis of cross-sectional survey data on subjective and objective SES from a population-based case-control study conducted in Tehran, Iran (2015). We used random digit dialing for study sample recruitment. Linear regression models were used for estimating crude and adjusted coefficients (95% confidence intervals). Age, gender, SES as well as cigarette smoking were included as confounders.

RESULTS

15-50 years old residents of Tehran were recruited in the study (n = 1057). High reported objective and subjective SES was consistently associated with a better SRH. Subjective current SES (p < .001), subjective adolescence SES (p = .018), change in subjective SES (current vs. adolescent) (p = .034) and participants' education years (p < .001). Improvements over time in current SES in comparison to SES rated during adolescence increased the participants' SRH after adjustment for potential confounders (coefficient = 0.170, 95% CI: (0.015, 0.325)). Female participants (coefficient = -0.305, 95% CI: (-0.418, -0.192)) and smokers (high category vs. never smokers) (coefficient = -0.456, 95% CI: (-0.714, -0.197)) reported significantly worse SRH. Increasing age - 0.008 (95% CI: -0.014, -0.002) was associated with decreased SRH.

CONCLUSION

High subjective and objective SES consistently was the most important predictor of high SRH.

Correlates of self-rated health in Southern Europe: evidences from national representative samples in Italy and Serbia

Background

Self-rated health (SRH) is a widely adopted tool to compare health across countries. Our aim was to examine SRH differences between Italy and Serbia and to observe the role of predictors of SRH referring to health behaviors within and between both countries.

Methods

We used cross-sectional population-based data from Italian and Serbian national health surveys carried out in 2013. Post hoc cross-standardization was undertaken to ensure that the information from both data sets was comparable.

Results

Univariate and multivariate multinomial logistic regressions showed that Serbians reported bad-SRH significantly more often than Italians. Moreover, consistently across national groups, younger participants, males, higher educated participants and participants with lower body mass index (BMI) had more chances than older, lower educated and higher BMI participants, respectively, to report better SRH. Finally, smoking and drinking behaviors did not correlate with SRH, while the frequency of fruits and vegetables intake was differently associated with SRH across countries.

Conclusion

Health assessments based on SRH in Italian and Serbian national surveys are directly comparable and show similar relationships with socio-demographic correlates and BMI. However, the effect of health behaviors on SRH may differ according to national and cultural contexts.

Self-rated health among multiracial young adults in the United States: findings from the add health study

OBJECTIVE

The multiracial adult population is one of the fastest growing segments of the U.S. population, yet much remains to be learned about multiracial health. Considerable research finds racial/ethnic disparities in self-rated health, however subgroups within the multiracial population have not been consistently described.

DESIGN

We use data from the National Longitudinal Survey of Adolescent Health (Add Health) and multivariate logistic regression analyses to compare self-rated health of multiracial and monoracial young adults (n = 7880).

RESULTS

Overall, there were no significant differences in poor self-rated health status of multiracial adults as a single group odds ratio 0.84 (95% CI: 0.52-1.36) compared to monoracial White adults. Analyses further revealed important variations in health-status by specific subgroups and show that some multiracial subgroups may not fit existing patterns of health disparities. For instance, Asian-White multiracial adults do not fit documented patterns of health disparities and report better health than monoracial Asian and monoracial White adults.

CONCLUSION

This study illustrates that the inclusion of specific multiracial categories provides evidence to enhance understanding of the pathways that are linked to health outcomes and the implications for health disparities.

Models and theories of health behavior and clinical interventions in aging: a contemporary, integrative approach

Background: Historically, influential models and theories of health behavior employed in aging research view human behavior as determined by conscious processes that involve intentional motives and beliefs. We examine the evolution, strengths, and weaknesses of this approach; then offer a contemporary definition of the mind, provide support for it, and discuss the implications it has for the design of behavioral interventions in research on aging. Methods: A narrative review was conducted. Results: Traditionally, models and theories used to either predict or change health behaviors in aging have not viewed the mind as encompassing embodied and relational processes nor have they given adequate attention to multi-level, in-the-moment determinants of health behavior. Discussion: Future theory and research in aging would benefit from a broader integrative model of health behavior. The effects of adverse life experience and changes in biological systems with aging and chronic disease on health behavior warrant increased attention.

Neighborhood-level and individual-level socioeconomic status and self-reported management of ischaemic heart disease: cross-sectional results from the Korea Health Examinees Study

OBJECTIVE

Several studies identified neighbourhood context as a predictor of prognosis in ischaemic heart disease (IHD). The present study investigates the relationships of neighborhood-level and individual-level socioeconomic status with the odds of ongoing management of IHD, using baseline survey data from the Korea Health Examinees-Gem study.

DESIGN

In this cross-sectional study, we estimated the association of the odds of self-reported ongoing management with the neighborhood-level income status and percentage of college graduates after controlling for individual-level covariates using two-level multilevel logistic regression models based on the Markov Chain Monte Carlo function.

SETTING

A survey conducted at 17 large general hospitals in major Korean cities and metropolitan areas during 2005-2013.

PARTICIPANTS

2932 adult men and women.

OUTCOME MEASURE

The self-reported status of management after incident angina or myocardial infarction.

RESULTS

At the neighbourhood level, residence in a higher-income neighbourhood was associated with the self-reported ongoing management of IHD, after controlling for individual-level covariates [OR: 1.22, 95% credible interval (CI): 1.01 to 1.61). At the individual level, higher education was associated with the ongoing IHD management (high school graduation, OR: 1.33, 95% CI: 1.08 to 1.65); college or higher, OR: 1.63, 95% CI: 1.22 to 2.12; reference, middle school graduation or below).

CONCLUSIONS

Our study suggests that policies or interventions aimed at improving the quality and availability of medical resources in low-income areas may associate with ongoing IHD management. Moreover, patient-centred education is essential for ongoing IHD management, especially when targeted to patients with IHD with a low education level.

Socioeconomic Status and Morbidity Rate Inequality in China: Based on NHSS and CHARLS Data

Previous studies have shown there are no consistent and robust associations between socioeconomic status and morbidity rates. This study focuses on the relationship between the socioeconomic status and the morbidity rates in China, which helps to add new evidence for the fragmentary relationship between socioeconomic status and morbidity rates. The National Health Services Survey (NHSS) and China Health and Retirement Longitudinal Study (CHARLS) data are used to examine whether the association holds in both all-age cohorts and in older only cohorts. Three morbidity outcomes (two-week incidence rate, the prevalence of chronic diseases, and the number of sick days per thousand people) and two socioeconomic status indicators (income and education) are mainly examined. The results indicate that there are quadratic relationships between income per capita and morbidities. This non-linear correlation is similar to the patterns in European countries. Meanwhile, there is no association between education years and the morbidity in China, i.e., either two-week incidence rate or prevalence rate of chronic diseases has no statistically significant relationship with the education level in China.

Associations of socioeconomic and religious factors with health: a population-based, comparison study between China and Korea using the 2010 East Asian social survey

Background

Cross-national comparisons of the associations of socioeconomic and religious factors with health can facilitate our understanding of differences in health determinants between countries and the development of policies to reduce health differentials appropriate to each country. However, very few such studies have been conducted in East Asia.

Methods

This study set out to compare the associations of socioeconomic and religious factors with health in China and Korea using the 2010 East Asian Social Survey, which was based on nationally representative samples. The study participants included 4980 individuals, 3629 in China and 1351 in Korea, aged ≥20 years. The dependent variable, individuals’ self-rated health, was categorized into poor, good, and excellent. Socioeconomic (education, employment, household income, and self-assessed social class) and religious factors (affiliation) were used as independent variables of interest. A multinomial logistic regression was performed with and without adjustments for factors such as demographics, health-related risks, the health system, and social capital.

Results

According to the results, China had a higher proportion of individuals who reported excellent health than did Korea (57.4% vs. 52.0%). After adjusting for all studied confounders, we found that the employment, household income, and social class gradient in health were significant in China, whereas the education and religion gradients in health were significant in Korea. For example, the odds ratio for poor health versus excellent health among those in the highest social class was 0.47 (95% CI, 0.27–0.84), compared to that of people in the lowest social class in China; and this odds ratio in people with college education or higher was 0.28 (95% CI, 0.14–0.59) compared to that of people with elementary school education or lower in Korea.

Conclusions

These findings demonstrate the important role of socioeconomic and religious factors in health in China and Korea as well as clear differences in this regard. Further cross-national studies are needed to provide a better understanding of the relationship between socioeconomic and religious factors and health and to draft appropriate health improvement policies in both countries.

Electronic supplementary material

The online version of this article (10.1186/s12889-018-6380-y) contains supplementary material, which is available to authorized users.

The Association Between the Number of Natural Remaining Teeth and Appendicular Skeletal Muscle Mass in Korean Older Adults

Background

The aim of this study was to examine the correlation between the number of remaining natural teeth (NRT) and the appendicular skeletal muscle mass index (SMI) in older adults.

Methods

This study was based on data from the 2008–2010 Korea National Health and Nutritional Examination Surveys. The participants were 2,378 older participants (984 men and 1,394 women) aged over 65 years. Survey dentists conducted oral health examinations, and ASM was measured using dual-energy X-ray absorptiometry.

Results

The participants with NRT≥20 had more ASM and SMI than those with NRT<20 in both sexes. SMI was correlated with NRT in men (r=0.018, p<0.001) and in women (r=−0.007, p<0.001). The positive correlation between the NRT and SMI remained significant in men even after adjusting for age, marital status, income, smoking, drinking, physical activity, protein intake, energy intake, calcium intake, body mass index, fasting blood glucose level, medications, and prostheses (β=0.011, p=0.001). In women, the correlation disappeared after adjustment for smoking, alcohol, physical activity, protein intake, energy intake, calcium intake, marital status, income, fasting basal glucose, medication administration, and prostheses.

Conclusion

This study showed a correlation between NRT and SMI in those ≥65 years of age in Korea. The relationship persisted in men, but not in women, even after adjusting for confounders.

Limited contribution of health behaviours to expanding income-related chronic disease disparities based on a nationwide cross-sectional study in China

This study estimated the association of income and prevalence of cardiovascular diseases (CVD) and hypertension, and then quantified the contribution of health behaviors to the association in China. Using the 2013 survey of the China Health and Retirement Longitudinal Study (CHARLS), a logit model was applied to examine income-related health disparities in relation to CVD and hypertension. A four-step regression method was then constructed to measure the role of health behaviors in income-related health disparities. Using indirect effects, mediation by health behaviors was examined. Income-related health disparities in chronic diseases were found to exist in China. Specifically, individuals in the high-income group had a 14% (OR = 0.86; 95% CI 0.73-1.02) and 14% (OR = 0.86; 95% CI 0.76-0.97) lower odds of suffering from CVD and hypertension than those in the low-income group. However, limited evidence shows this association was mediated by health behaviors. The Heaviness of Smoking Index (HSI), heavy drinking, irregular eating, and nap time did not significantly mediate the association of income and prevalence of CVD and hypertension. To curb the rising prevalence of CVD and hypertension in China, policies should focus on the low-income subpopulation. However, healthy behaviors interventions targeting smoking, heavy drinking, unhealthy napping and irregular eating habits among low-income people may be ineffective in reduction of income-related disparities in prevalence of CVD and hypertension.

Positive organizational behavior: Longitudinal effects on subjective well-being

Increasing individual subjective well-being has various positive outcomes, knowledge about its antecedents and the mediators of this relationship can therefore help to increase subjective well-being and the accompanying positive effects. The more future oriented facets of psychological capital, i.e. optimism, hope and self-efficacy have been shown in several studies to be positively related to subjective well-being and negatively to ill-being. Furthermore, recent studies suggest coping strategies as mediators for these relationships. In our study, we examined the longitudinal relation of optimism, hope and self-efficacy with subjective well-being and ill-being in a German panel dataset and tested the mediating effect of flexible goal adjustment in a path model. Our results show a statistically significant positive effect of self-efficacy and optimism on subjective well-being as well as a statistically significant negative effect of optimism on depression over three years. All three predictors show a statistically significant relation with flexible goal adjustment, but flexible goal adjustment did not mediate the effect on subjective well-being or depression.

Association of socioeconomic status with financial burden of disease among elderly patients with cardiovascular disease: evidence from the China Health and Retirement Longitudinal Survey

OBJECTIVES

The prevalence of cardiovascular diseases (CVD) within low-income and middle-income countries has reached epidemic proportions. However, the association between out-of-pocket (OOP) payment and socioeconomic status (SES) of patients with CVD is not well studied. We aimed to understand the financial burden among Chinese middle-aged and older patients with CVD, and whether there was an association with SES.

SETTINGS

A nationally representative survey-The China Health and Retirement Longitudinal Survey (CHARLS)-was conducted in 28 provinces of mainland China in 2011 and 2013.

PARTICIPANTS

Of the over 18 000 CHARLS respondents, eligible participants were those aged 45 years and over who had been previously diagnosed with CVD.

OUTCOME MEASURES

Financial burden was measured by individual OOP payment and household catastrophic health expenditure (CHE) occurrence (ie, the annual household health expenditure was 40% or more of the total non-food household expenditure). Multilevel regression models were used to explore the association between financial burden and SES.

RESULTS

Among CHARLS respondents, CVD prevalence increased from 14.7% in 2011 to 16.6% in 2013. Average annual CVD OOP payment increased from 5000 RMB (770 USD) to 6120 RMB (970 USD). Furthermore, CHE occurrence increased from 44.2% to 48.1%. Patients spent almost twice on outpatient as on inpatient services. Two of the three SES indicators (total household expenditure, occupation type) were found to be associated with CVD OOP payment amount, and the likelihood of CHE. Unemployed patients had a higher likelihood of CHE compared with agricultural workers. Rural-urban difference was associated with the likelihood of CHE in 2011 alone.

CONCLUSION

The Chinese health system should use this health expenditure pattern among patients with CVD to create more equitable health insurance schemes that financially balance between outpatient and inpatient care, and provide better financial risk protection to patients with low SES.

Psychosocial risk predicts high readmission rates for hematopoietic cell transplant recipients

Hematopoietic cell transplantation (HCT) is an intensive treatment resulting in disease control however subsequent psychosocial distress is common. Screening for psychosocial risk factors that contribute to morbidity is underutilized; moreover, the value in screening is uncertain. We performed a retrospective study of 395 HCT patients who were screened for psychosocial risk using the Transplant Evaluation Rating Scale (TERS). Patients were classified by psychosocial risk as no-risk (TERS = 26.5, 52%) vs. at-risk (TERS > 26.5, 48%), with at-risk patients stratified by cumulative deficits into mild risk (TERS = 27-35.5, 39%) and moderate risk (TERS > 35.5, 9%). At-risk patients were more likely to be readmitted within 90 days (mild risk HR = 1.62, p = 0.02; moderate risk HR = 2.50, p = 0.002). Prior psychiatric history (HR = 1.81, p = 0.002) and poor coping skills (HR = 1.64, p = 0.04) also influenced readmission. At-risk patients were more likely to be readmitted for infection (no-risk = 12% vs. at-risk = 25%, p = 0.002). Pre-HCT screening with the TERS did not predict survival or length of stay although at-risk patients are at a heighted risk of readmission. Implementing strategies to reduce readmission in higher risk patients is warranted.

Insurance Type and Major Complications After Hysterectomy

OBJECTIVES

The aim of this study was to investigate the relationship between primary insurance type and major complications after hysterectomy.

METHODS

A retrospective analysis was performed on women with Medicaid, Medicare, and private insurance who underwent hysterectomy from January 1, 2012, to July 1, 2014, and were included in the Michigan Surgical Quality Collaborative. Major complications within 30 days of surgery included the following: deep/organ space surgical site infection, deep venous and pulmonary thromboembolism, myocardial infarction or stroke, pneumonia or sepsis, blood transfusion, readmission, and death. Multivariable logistic regression was used to identify factors associated with major complications and characteristics associated with the Medicaid and Medicare groups.

RESULTS

A total of 1577 women had Medicaid, 2103 had Medicare, and 11,611 had private insurance. The Medicaid and Medicare groups had a similar rate of major complications, nearly double that of the private insurance group (6.85% vs 7.85% vs 3.79%; P < .001). Compared with private insurance, women with Medicaid and Medicare had increased odds of major complications (Medicaid: odds ratio [OR], 1.60; 95% confidence interval [CI], 1.26-2.04; P < .001; Medicare: OR, 1.34; 95% CI, 1.04-1.73; P = .03). Women with Medicaid were more likely to be nonwhite, have a higher body mass index (BMI), report tobacco use in the last year and undergo an abdominal hysterectomy. Those with Medicare were more likely to be white, to have gynecologic cancer, and to be functionally dependent. Both groups had increased odds of American Society of Anesthesiology class 3 or higher and decreased odds of undergoing hysterectomy at large hospitals (≥500 beds).

CONCLUSIONS

Women with Medicaid and Medicare insurance have increased odds of major complications after hysterectomy. Abdominal hysterectomy, BMI, and smoking are potentially modifiable risk factors for women with Medicaid.

Neighborhood socioeconomic disadvantage and body mass index among residentially stable mid-older aged adults: Findings from the HABITAT multilevel longitudinal study

Despite a body of evidence on the relationship between neighborhood socioeconomic disadvantage and body mass index (BMI), few studies have examined this relationship over time among ageing populations. This study examined associations between level of neighborhood socioeconomic disadvantage and the rate of change in BMI over time. The sample included 11,035 participants aged between 40 and 65years at baseline from the HABITAT study, residing in 200 neighborhoods in Brisbane, Australia. Data were collected biennially over four waves from 2007 to 2013. Self-reported height and weight were used to calculate BMI, while neighborhood disadvantage was measured using a census-based composite index. All models were adjusted for age, education, occupation, and household income. Analyses were conducted using multilevel linear regression models. BMI increased over time at a rate of 0.08kg/m² (95% CI 0.02, 0.13) and 0.17kg/m² (95% CI 0.11, 0.29) per wave for men and women respectively. Both men and women residing in the most disadvantaged neighborhoods had a higher average BMI than their counterparts living in the least disadvantaged neighborhoods. There were no evident differences in the rate of BMI change over time by level of neighborhood disadvantage. The findings suggest that by mid-older age, the influence of neighborhood socioeconomic conditions over time on BMI may have already played out. Future research should endeavor to identify the genesis of neighborhood socioeconomic inequalities in BMI, the determinants of these inequalities, and then suitable approaches to intervening.

Socio-Economic Status in Relation to Risk Factors Associated with Cardiovascular Disease, in Healthy Individuals from the ATTICA Study

Background

Social status has been related with the prevalence and incidence of cardiovascular disease. The aim of this study is to investigate the relationships between socio-economic status (SES) and clinical and biochemical factors related to coronary heart disease, in a sample of cardiovascular disease-free men and women.

Design

Cross-sectional survey.

Methods

During 2001-2002, 1514 men (20-87 years old) and 1528 women (20-89 years old) from the Attica region (Greece) were randomly enrolled into the study. Trends in established and emerging cardiovascular risk factors were examined across the participants' socio-economic status. A special index was developed (years of school by annual income) and three socio-economic classes were created.

Results

An inverse relationship was found regarding all lipids and glucose levels across the tertiles of the SES index. An inverse association was observed between body mass index, waist-to-hip ratio and SES in men, but not in women. Furthermore, compared to the lowest tertile, individuals who were classified in the highest SES tertile had lower levels of C-reactive protein, fibrinogen, homocysteine, tumour necrosis factor-α, interleukin-6 levels and white blood cell counts, even after adjusting for various potential confounders. Finally, a considerable proportion of men and women reported lack of health knowledge and education.

Conclusions

An inverse association between SES and factors related to cardiovascular risk exists, but the causal pathway itself requires more detailed explanation before the social status can have explanatory power.

Age and Socioeconomic Gradients of Health of Indian Adults: An Assessment of Self-Reported and Biological Measures of Health

This paper describes overall socioeconomic gradients and the age patterns of socioeconomic gradients of health of Indian adults for multiple health indicators encompassing the multiple aspects of health. Cross-sectional data on 11,230 Indians aged 18 years and older from the WHO-SAGE India Wave 1, 2007 were analyzed. Multivariate logit models were estimated to examine effects of socioeconomic status (education and household wealth) and age on four health domains: self-rated health, self-reported functioning, chronic diseases, and biological health measures. Results show that socioeconomic status (SES) was negatively associated with prevalence of each health measure but with considerable heterogeneity across age groups. Results for hypertension and COPD were inconclusive. SES effects are significant while adjusting for background characteristics and health risk factors. The age patterns of SES gradient of health depict divergence with age, however, no conclusive age pattern emerged for biological markers. Overall, results in this paper dispelled the conclusion of negative SES-health association found in some previous Indian studies and reinforced the hypothesis of positive association of SES with health for Indian adults. Higher prevalence of negative health outcomes and SES disparities of health outcomes among older age-groups highlight need for inclusive and focused health care interventions for older adults across socioeconomic spectrum.

Subjective social status, social network and health disparities: empirical evidence from Greece

Background

Several studies suggest that socioeconomic status affects (SES) affects self-rated health (SRH), both in Greece and internationally. However, prior research mainly uses objective measures of SES, instead of subjective evaluations of individuals’ social status. Based on this, this paper aims to examine (a) the impact of the economic dowturn on SRH in Greece and (b) the relationship between subjective social status (SSS), social network and SRH.

Methods

The descriptive analysis is based on four cross-sectional surveys conducted by the National School of Public Health, Athens, Greece (2002, 2006, 2011, 2015), while the data for the empirical investigation were derived from the 2015 survey (Health + Welfare Survey GR). The empirical strategy is based on an ordinal logistic regression model, aiming to examine how several variables affect SRH. Size of social network and SSS are among the independent variables employed for the empirical analysis

Results

According to our findings, average SRH has deteriorated, and the percentage of the population that reports very good/good SRH has also decreased. Moreover, our empirical analysis suggests that age, existence of a chronic disease, size of social network and SSS affect SRH in Greece.

Conclusion

Our findings are consistent with the existing literature and confirm a social gradient in health. According to our analysis, health disparities can be largely attributed to socioeconomic inequalities. The adverse economic climate has impact on socioeconomic differences which in turn affect health disparities. Based on these, policy initiatives are necessasy in order to mitigate the negative impact on health and the disparities caused by economic dowturn and the occuring socioeconomic inequalities.