Indicators of socioeconomic position (part 2)

Educational attainment, body mass index, and smoking as mediators in kidney disease risk: a two-step Mendelian randomization study

BACKGROUND

Educational attainment (EA) has been linked to various health outcomes, including kidney disease (KD). However, the underlying mechanisms remain unclear. This study aims to assess the causal relationship between EA and KD and quantify the mediation effects of modifiable risk factors using a Mendelian randomization (MR) approach.

METHODS

We performed a two-sample MR analysis utilizing summary statistics from large-scale European genome-wide association studies (GWAS). EA (NGWAS = 766,345) was used as the exposure, and KD (Ncase/Ncontrol= 5,951/212,871) was the outcome. A two-step MR method was applied to identify and quantify the mediation effects of 24 candidate risk factors.

RESULTS

Each additional 4.2 years of genetically predicted EA was associated with a 32% reduced risk of KD (odds ratio [OR] 0.68; 95% confidence interval [CI] 0.56, 0.83). Among the 24 candidate risk factors, body mass index (BMI) mediated 21.8% of this protective effect, while smoking heaviness mediated 18.7%.

CONCLUSIONS

This study provides robust evidence that EA exerts a protective effect against KD, partially mediated by BMI and smoking. These findings highlight the potential for targeted public health interventions aimed at mitigating obesity and smoking-related risks to reduce KD incidence, particularly among individuals with lower educational attainment.

Multi-level socioeconomic modifiers of the comorbidity of post-traumatic stress and tobacco, alcohol, and cannabis use: the importance of income

PURPOSE

Post-traumatic stress (PTS) symptoms are highly comorbid with substance use (i.e., alcohol, tobacco, and cannabis). Few studies have investigated potential individual-, household-, and neighborhood-level socioeconomic effect modifiers of this comorbidity in longitudinal analyses. We aim to examine interactions between this multi-level environment and PTS symptoms on future substance use behaviors.

METHODS

Data were drawn from the Advancing Understanding of RecOvery afteR traumA (AURORA) study, including 2943 individuals who presented to the emergency department (ED) within 72 h of a traumatic event. Frequency of tobacco, alcohol, cannabis use, and PTS symptoms were reported at 6 timepoints. Mixed effect Poisson models, clustered by state, were used to generate incidence rate ratios (IRRs) substance use, both cross-sectionally and prospectively. Moderation analysis of PTS and substance use, stratified by household income and area deprivation index (ADI), was conducted using mixed effect models and parallel process growth curves.

RESULTS

Significant associations were observed between PTS with tobacco, alcohol, and cannabis use frequency cross-sectionally, and for tobacco and alcohol and PTS exposure prospectively. Lower income (P < 0.001) and higher deprivation (P < 0.001) were associated with tobacco use, while higher income (P < 0.001) and less deprivation (P = 0.01) were associated with increased alcohol use. We found modest modification by household income for alcohol and tobacco, and little evidence of modification by neighborhood ADI.

CONCLUSIONS

Household income had greater evidence of effect modification for substance use, compared to neighborhood-level ADI. Our findings demonstrate that household indicators of socioeconomic status likely modify the relationship between PTS and substance use.

Persistent socioeconomic disparities in childhood vaccination coverage in Tanzania: Insights from multiple rounds of demographic and health surveys

OBJECTIVES

This study examined the trends, disparities, and factors associated with childhood vaccination coverage in Tanzania between 2010 and 2022.

METHODS

We used data from three recent Tanzania Demographic and Health Surveys. We included a total of 5637 children aged 12-23 months and their mothers. Socioeconomic disparities in childhood vaccination coverage were evaluated using concentration curves and indices, and decomposition analysis was performed to identify the contributing factors. Poisson regression analysis was conducted to determine the factors associated with childhood vaccination uptake in Tanzania.

RESULTS

Full vaccination coverage remained stable at approximately 75.6 % from 2010 to 2015 but declined to 70.5 % by 2022. Throughout all three survey rounds, children from households with a lower socioeconomic position consistently had lower full vaccination coverage than those from families with a higher socioeconomic position. The concentration index for full vaccination coverage was 0.1531 in 2010 (p < 0.001), 0.1466 in 2015 (p < 0.001), and 0.1314 in 2022 (p < 0.001), indicating persistent but slightly decreasing inequality favoring upper-class children (F-stat = 3.27, p = 0.038). The key contributors to these inequalities were maternal illiteracy, poverty, and lack of exposure to mass media. Factors that increased childhood vaccination uptake included higher socioeconomic position, facility-based childbirth, antenatal care utilization, proximity to healthcare facilities, and having fewer children under the age of five in the household.

CONCLUSION

Despite Tanzania's considerable overall childhood vaccination coverage, the findings indicated significant socioeconomic disparities. Urgent action is needed to close these gaps and ensure that every child in Tanzania receives life-saving protection regardless of their background or circumstances.

Financial resilience: a scoping review, conceptual synthesis and theoretical framework

Purpose

Financial resilience is becoming increasingly important in socioeconomic environments, yet research on the topic remains in its early stages and is subject to debate. This study aims to provide an overview of the existing literature on financial resilience and develop a heuristic map.

Design/methodology/approach

A four-step scoping review was conducted to extract data on research features, measures, determinants, outcomes and definitions from 44 empirical studies on financial resilience across five academic databases.

Findings

Most studies have examined financial resilience over the past five years, utilizing cross-sectional secondary data from specific countries. The included studies have used various resources to assess financial resilience and investigate its determinants and outcomes across socioeconomic, psychological and situational domains. Financial resilience is newly defined as a financial coping capability that encompasses both static performances and dynamic processes within human agency and environmental structure, enabling people to respond to and recover from adverse situations. This coping capability definition provides a comprehensive and positive perspective, addressing limitations in previous resource-based, behavior-based and vulnerability-oriented definitions. The long-term process of financial resilience consists of three dynamic stages leading to positive adaptation. An integrative framework is proposed to outline several propositions and pathways relevant to proximal dynamics, distal mechanisms and evidence-based interventions for financial resilience. Four priority areas are suggested to enhance theories, topics, contexts and methods in future financial resilience research.

Originality/value

This study provides an original synthesis of financial resilience and theoretical insights for researchers across various disciplines. Financial service providers, practitioners and consumers may benefit from this study for promoting sustainable wealth management and overall well-being.

Socioeconomic Determinants and Health Outcomes of Financial Resilience Patterns: A Latent Profile Analysis

BACKGROUND AND OBJECTIVES

Financial resilience describes an actionable financial capability to cope with emergencies and adversities. However, little is known about whether financial resilience patterns impact holistic health outcomes.

METHODS

This study conducted a 3-step latent profile analysis using an urban community sample (n = 3710) from a nationally representative database in China. A multinomial logistic regression model and multiple linear regression models were estimated to examine the proposed argument guided by social determinants of health and resilience theory.

RESULTS

Three latent subgroups were identified to differentiate population heterogeneity with high, moderate, and low financial resilience. Younger generations with lower employment participation, education, income, and assets were significantly less likely to be in moderate and high financial resilience subgroups. After controlling demographics and conventional socioeconomic covariates, financial resilience patterns were significantly negatively associated with mental illness, while positively associated with physical health, subjective happiness, and life satisfaction.

CONCLUSION

Financial resilience could be a strength-based and actionable socioeconomic determinant of health. Research and practical implications are provided for addressing health inequalities. A new target in community health and social welfare is to enhance financial resilience among marginalized populations through family asset-building, financial inclusion policy, financial literacy education, and social capital investment.

Changes in marital and health status as risk factors for a subsequent negative wealth shock: A population-based longitudinal study in the United States, 1995-2020

OBJECTIVES

A negative wealth shock, defined as a loss of ≥75% in equivalized household total wealth over a short period, may cause adverse health outcomes for older adults. The individual-level risk factors for experiencing a negative wealth shock in later adulthood are unclear.

METHODS

Data were from 25,072 adults aged ≥55 in the longitudinal, population-based US Health and Retirement Study from 1995 to 2020 (n = 123,651 observations across all study respondents). We performed multivariable-adjusted Poisson mixed effects models to examine the association of each of the four risk factors, 1) separation from or loss of a spouse/partner; 2) transition from better to worse self-reported general health; 3) transition from low to high depressive symptoms; and 4) transition from normal cognition to cognitive impairment without dementia (CIND) or dementia, with the subsequent experience of a negative wealth shock in mid-to-later life.

RESULTS

All four risk factors increased the likelihood of newly experiencing a negative wealth shock: separation from or loss of a spouse/partner (incidence rate ratio (IRR) = 1.59; 95% CI: 1.41, 1.78), transition from excellent/good to fair/poor self-reported general health (IRR = 1.14; 95% CI: 1.06, 1.23), transition from low to high depressive symptoms (IRR = 1.10; 95% CI: 1.02, 1.19), and transition from normal to CIND or dementia (IRR = 1.14; 95% CI: 1.06, 1.22).

DISCUSSION

This long-timespan, population-based study suggests that adverse changes in marital or health status in mid-to-later life may signal risks for a future negative wealth shock. Public policy interventions to support aging adults at risk of a negative wealth shock may be warranted.

Interpersonal violence-related physical injury in low- and middle-income countries and its association with markers of socioeconomic status: a systematic review

BACKGROUND

Interpersonal violence-related physical injury (IPVRPI) is a leading cause of death in low- and middle-income countries (LMICs), yet reliable data relating socioeconomic status (SES) and IPVRPI in these settings are lacking. We analyzed existing literature on associations between SES and IPVRPI in LMICs to understand how SES is measured in these contexts and synthesize data relating markers of SES to IPVRPI at the individual-level in order to inform future hospital-based IPVRPI prevention efforts.

METHODS

We searched Ovid MEDLINE, EMBASE, and Global Health databases in January 2022 for analytical studies from LMICs that explored individual-level associations between IPVRPI and markers of SES. Studies about intimate partner violence, suicide, or children < 12 years old were excluded, as were population-level studies. Markers of SES considered were educational attainment, employment, and household wealth. Collated data relating these SES indicators with IPVRPI were presented in forest plots.

RESULTS

A total of 34 studies from 20 LMICs were included. Brazil, Mexico, and South Africa were the most represented countries. Studies were mostly cross-sectional (n = 23), and data were typically from patient hospital records (n = 17) or population surveys (n = 12). Included studies explored associations between IPVRPI and education (n = 26), employment (n = 26), and household wealth (n = 19). Categorizations, particularly for employment and wealth, were highly variable between studies. Among the studies that performed multivariable analyses, IPVRPI was found to be significantly associated with lower educational attainment (n = 6), unemployment (n = 4), and lower household wealth (n = 6).

CONCLUSIONS

Numerous studies have explored individual-level associations between IPVRPI and markers of SES among LMIC populations. Across a variety of LMIC contexts, we found that IPVRPI tended to be associated with markers of lower SES. Further conclusions were limited by the heterogeneity of SES measure categorizations, varied IPVRPI case definitions, and lack of adjusted analyses. Future research should ensure SES measures utilized in LMICs are comprehensive and comparable, focus more specifically on IPVRPI from community violence, and consider hospital-based interventions to reduce risk of IPVRPI in LMIC settings.

Socioeconomic inequalities in mortality among Italian and immigrant residents: A longitudinal population-based study

Background

A socioeconomic mortality gradient, favourable to the most advantaged social groups, has been documented in high migratory pressure (HMPCs) and highly developed countries, including Italy. However, little is known about how this association differs between natives and immigrants. This study aimed to evaluate the association between education level, occupational class and mortality among Italian and immigrant residents.

Methods

Using a longitudinal design, the 2011 Italian Census population was followed up to 2019. All-cause mortality was retrieved by record linkage with the Causes of Death register. The association between education/occupational class and mortality was evaluated in subjects aged 30-64, separately by sex, citizenship/macro area of origin. Mortality rate ratios (MRR) and 95 % confidence intervals were estimated using negative binomial regression models.

Results

Of the 23,572,516 subjects analysed, 7 % were immigrants from HMPCs; of the 410,746 deaths, 3 % were from HMPCs. Among Italians, a mortality gradient by education was observed (low/high adjMRR: 2.37 [2.16-2.60] males; 1.79 [1.64-1.96] females), whereas a weaker association with no trend was found for HMPC immigrants (adjMRR: 1.12 [1.00-1.25] males; 1.12 [1.00-1.26] females). Regarding occupational class, for immigrants from HMPCs, a higher mortality was observed in male "farmers" and "inactives" compared to "non-manual workers" (adjMRR = 1.31 [1.06-1.61] and adjMRR = 1.67 [1.50-1.85], respectively); and in females for "inactive" subjects (adjMRR = 1.48 [1.35-1.62]).A higher mortality for the less educated was observed for males from Romania, India and China, and for females from Central-Eastern Europe, Sub-Saharan Africa and Central and South America. A lower mortality was found for the least educated from Morocco.

Conclusions

The higher mortality among less educated subjects was confirmed among Italians, while it was less evident among immigrants from HMPCs. However, differences observed between citizenships, macro-areas of origin and sex highlight the need for social policies accounting for specific risk factors and cultural specificities affecting correct lifestyles and health service access.

Associations Between Social Economic Determinants and Long-Term Outcomes of Critically Ill Patients

OBJECTIVE

Differences in socioeconomic status (SES) may influence long-term physical, psychological, and cognitive health outcomes of ICU survivors. However, the relationship between SES and these three long-term health outcomes is rarely studied. The aim of this study was to investigate associations between SES and the occurrence of long-term outcomes 1-year post-ICU.

DESIGN

Prospective cohort study.

SETTING

Seven Dutch ICUs.

PATIENTS

Patients 16 years old or older and admitted for greater than or equal to 12 hours to the ICU between July 2016 and March 2020 completed questionnaires, or relatives if patients could not complete them themselves, at ICU admission and 1 year after ICU admission.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Validated scales were used for the outcomes: physical problems (fatigue or ≥ 3 new physical symptoms), psychological problems (anxiety, depression, or post-traumatic stress), cognitive impairment, and a composite score. Occurrence of outcomes were calculated for: origin, education level, employment status, income, and household structure. Adjusted odds ratios (aORs) were calculated with covariates age, gender, admission type, severity-of-illness, and pre-ICU health status. Of the 6555 patients included, 3246 (49.5%) completed the questionnaires at admission and after 1 year. Low education level increased the risk of having health problems in the composite score 1-year post-ICU (aOR 1.84; 95% CI, 1.39-2.44; p < 0.001). Pre-ICU unemployment increased the risk of having physical problems (aOR 1.98; 95% CI, 1.31-3.01; p = 0.001). Migrants and low income was associated with more psychological problems (aOR 2.03; 95% CI, 1.25-3.24; p < 0.01; aOR 1.54; 95% CI, 1.10-2.16; p = 0.01, respectively), and unpaid work with less psychological (aOR 0.26; 95% CI, 0.08-0.73; p = 0.02) and cognitive (aOR 0.11; 95% CI, 0.01-0.59; p = 0.04) problems.

CONCLUSIONS

Indicators of lower SES, including low education level, low income, unemployment and migrants were associated with an increased risk of post-ICU health problems. Gaining insight into the complex relationship between SES and long-term health problems is necessary to decrease disparities in healthcare.

Trajectories of social class and adult self-perceived oral health

OBJECTIVES

To determine the effect of social mobility on self-perceived oral health (SPOH) by: (i)characterizing patterns of social mobility from birth to adulthood and (ii)assessing their influence on SPOH among British adults.

METHODS

A secondary data analysis of the 1970 British Cohort Study. Data were collected at birth and at 5, 10, 16, 26, 30, 34, 38, 42 and 46 years of age. Social class (SC) was indicated by parental SC from birth to age 16 and own SC from ages 26 to 42. At age 46, SPOH was measured using a single question. Sex, ethnicity, country and residence area were included as potential confounders. Latent class growth analysis (LCGA) was used to identify trajectories of exposure to non-manual SC over time, instead of predetermined categories.

RESULTS

LCGA identified four social mobility patterns: stable high, stable low, upwardly mobile and downwardly mobile; the time for the change in SC happening between 16 and 26 years. A total of 9657 participants were included. In the crude model, stable high had lower odds (OR: 0.67, 95% CI: 0.59-0.76), while downward mobility and stable low had higher odds (OR: 1.36, 95% CI: 1.15-1.61 and OR: 1.57, 95% CI: 1.40-1.77) of poor SPOH than upward mobility. These results were corroborated in the fully adjusted model; being female and living in rural areas was also associated with lower odds (OR: 0.64, 95% CI: 0.59-0.71 and OR: 0.90, 95%CI: 0.80-1.00) of poor SPOH.

CONCLUSION

Social mobility significantly affects SPOH in British adults. Those in non-manual SC have better SPOH than those in manual SC. When compared to upward mobility, downwardly mobile individuals report bad SPOH more frequently, evidencing that current SC influences oral health in a slightly greater measure than early years SC.

Big data analysis: examination of the relationship between candidates' sociodemographic characteristics and performance in the UK's Membership of the Royal College of Physicians Part 1 examination

Big datasets and data analytics enable granular analyses examining group differences in performance. Our focus is on differential attainment (DA) in postgraduate College (Board) examinations. We asked: Are candidates' sociodemographic characteristics associated with performance on the UK's Membership of the Royal College of Physicians (MRCP) Part 1 after adjusting for medical school performance (MSP) and type of medical programme? This was a retrospective longitudinal cohort study of 6040 medical graduates with linked sociodemographic data in the UK Medical Education Database qualifying from a UK medical school (2012-2014) and sitting MRCP Part 1 before October 2019. Chi-squared tests established univariable associations with MRCP performance (pass/fail first sitting MRCP Part 1). Multivariable mixed-effects logistic regression identified independent explanatory factors of success, adjusted for medical school. The odds (95% CI) of passing MRCP Part 1 exams on first sitting were greater for men (OR = 1.61, CI 1.42-1.81, p < 0.001) and those on a graduate entry programme (OR = 1.44, 1.05-1.99, p < 0.001). The odds of passing were lower as age increases (OR = 0.87, 0.85-0.90, p < 0.001), for minority ethnic (OR = 0.61, CI 0.53-0.7, p < 0.001), and gateway to medicine (OR = 0.49, CI 0.27-0.90, p = 0.02) candidates. After adjusting for MSP, odds were greater for passing in men (OR = 1.62, CI 1.24-2.11, p < 0.001) and candidates with higher MSP (OR = 4.12, CI 3.40-4.96, p < 0.001). Our findings illustrate how performance on MRCP part 1 is associated with group-level social and educational factors. This DA may be due to aspects of the assessment itself, and/or the persistent nature of social and educational disadvantage.

Evaluating the association between the introduction of mandatory calorie labelling and energy consumed using observational data from the out-of-home food sector in England

In April 2022, mandatory kilocalorie (kcal) labelling in the out-of-home food sector was introduced as a policy to reduce obesity in England. Here we examined whether the implementation of this policy was associated with a consumer behaviour change. Large out-of-home food sector outlets subject to kcal labelling legislation were visited pre- and post-implementation, and customer exit surveys were conducted with 6,578 customers from 330 outlets. Kcals purchased and consumed, knowledge of purchased kcals and reported noticing and use of kcal labelling were examined. The results suggested that the introduction of the mandatory kcal labelling policy in England was not associated with a significant decrease in self-reported kcals purchased (B = 11.31, P = 0.564, 95% confidence interval (CI) -27.15 to 49.77) or consumed (B = 18.51, P = 0.279, 95% CI -15.01 to 38 52.03). Post-implementation, participants underestimated the energy content of their purchased meal less (B = 61.21, P = 0.002, 95% CI 21.57 to 100.86) and were more likely to report noticing (odds ratio 2.25, P < 0.001, 95% CI 1.84 to 2.73) and using (odds ratio 2.15, P < 0.001, 95% CI 1.62 to 2.85) kcal labelling, which may have wider public health implications.

Differences in the effectiveness of individual-level smoking cessation interventions by socioeconomic status

BACKGROUND

People from lower socioeconomic groups are more likely to smoke and less likely to succeed in achieving abstinence, making tobacco smoking a leading driver of health inequalities. Contextual factors affecting subpopulations may moderate the efficacy of individual-level smoking cessation interventions. It is not known whether any intervention performs differently across socioeconomically-diverse populations and contexts.

OBJECTIVES

To assess whether the effects of individual-level smoking cessation interventions on combustible tobacco cigarette use differ by socioeconomic groups, and their potential impact on health equalities.

SEARCH METHODS

We searched the Cochrane Database of Systematic Reviews from inception to 1 May 2023 for Cochrane reviews investigating individual-level smoking cessation interventions. We selected studies included in these reviews that met our criteria. We contacted study authors to identify further eligible studies.

SELECTION CRITERIA

We included parallel, cluster or factorial randomised controlled trials (RCTs) investigating any individual-level smoking cessation intervention which encouraged complete cessation of combustible tobacco cigarette use compared to no intervention, placebo, or another intervention in adults. Studies must have assessed or reported smoking quit rates, split by any measure of socioeconomic status (SES) at longest follow-up (≥ six months), and been published in 2000 or later.

DATA COLLECTION AND ANALYSIS

We followed standard Cochrane methods for screening, data extraction, and risk of bias assessment. We assessed the availability of smoking abstinence data by SES in lieu of selective reporting. The primary outcome was smoking cessation quit rates, split by lower and higher SES, at the longest follow-up (≥ six months). Where possible, we calculated ratios of odds ratios (ROR) with 95% confidence intervals (CIs) for each study, comparing lower to higher SES. We pooled RORs by intervention type in random-effects meta-analyses, using the generic inverse-variance method. We subgrouped by type of SES indicator and economic classification of the study country. We summarised all evidence in effect direction plots and categorised the intervention impact on health equality as: positive (evidence that the relative effect of the intervention on quit rates was greater in lower rather than higher SES groups), possibly positive, neutral, possibly neutral, possibly negative, negative, no reported statistically significant difference, or unclear. We evaluated certainty using GRADE.

MAIN RESULTS

We included 77 studies (73 from high-income countries), representing 127,791 participants. We deemed 12 studies at low overall risk of bias, 13 at unclear risk, and the remaining 52 at high risk. Included studies investigated a range of pharmacological interventions, behavioural support, or combinations of these. Pharmacological interventions We found very low-certainty evidence for all the main pharmacological interventions compared to control. Evidence on cytisine (ROR 1.13, 95% CI 0.73 to 1.74; 1 study, 2472 participants) and nicotine electronic cigarettes (ROR 4.57, 95% CI 0.88 to 23.72; 1 study, 989 participants) compared to control indicated a greater relative effect of these interventions on quit rates in lower compared to higher SES groups, suggesting a possibly positive impact on health equality. CIs for both estimates included the possibility of no clinically important difference and of favouring higher SES groups. There was a lower relative effect of bupropion versus placebo on quit rates in lower compared to higher SES groups, indicating a possibly negative impact on health equality (ROR 0.05, 95% CI 0.00 to 1.00; from 1 of 2 studies, 354 participants; 1 study reported no difference); however, the CI included the possibility of no clinically important difference. We could not determine the intervention impact of combination or single-form nicotine replacement therapy on relative quit rates by SES. No studies on varenicline versus control were included. Behavioural interventions We found low-certainty evidence of lower quit rates in lower compared to higher SES groups for print-based self-help (ROR 0.85, 95% CI 0.52 to 1.38; 3 studies, 4440 participants) and text-messaging (ROR 0.76, 95% CI 0.47 to 1.23; from 3 of 4 studies, 5339 participants; 1 study reported no difference) versus control, indicating a possibly negative impact on health equality. CIs for both estimates included the possibility of no clinically important difference and of favouring lower SES groups. There was very low-certainty evidence of quit rates favouring higher SES groups for financial incentives compared to balanced intervention components. However, the CI included the possibility of no clinically important difference and of favouring lower SES groups (ROR 0.91, 95% CI 0.45 to 1.85; from 5 of 6 studies, 3018 participants; 1 study reported no difference). This indicates a possibly negative impact on health equality. There was very low-certainty evidence of no difference in quit rates by SES for face-to-face counselling compared to less intensive counselling, balanced components, or usual care. However, the CI included the possibility of favouring lower and higher SES groups (ROR 1.26, 95% CI 0.18 to 8.93; from 1 of 6 studies, 294 participants; 5 studies reported no difference), indicating a possibly neutral impact. We found very low-certainty evidence of a greater relative effect of telephone counselling (ROR 4.31, 95% CI 1.28 to 14.51; from 1 of 7 studies, 903 participants; 5 studies reported no difference, 1 unclear) and internet interventions (ROR 1.49, 95% CI 0.99 to 2.25; from 1 of 5 studies, 4613 participants; 4 studies reported no difference) versus control on quit rates in lower versus higher SES groups, suggesting a possibly positive impact on health equality. The CI for the internet intervention estimate included the possibility of no difference. Although the CI for the telephone counselling estimate only favoured lower SES groups, most studies narratively reported no clear evidence of interaction effects.

AUTHORS' CONCLUSIONS

Currently, there is no clear evidence to support the use of differential individual-level smoking cessation interventions for people from lower or higher SES groups, or that any one intervention would have an effect on health inequalities. This conclusion may change as further data become available. Many studies did not report sufficient data to be included in a meta-analysis, despite having tested the association of interest. Further RCTs should collect, analyse, and report quit rates by measures of SES, to inform intervention development and ensure recommended interventions do not exacerbate but help reduce health inequalities caused by smoking.

Quantifying work-related social inequalities in life expectancy: a methodological proof of concept

Employment and working conditions are strong social determinants of health, yet many epidemiologic studies fail to account for their impact on life expectancy calculations. Integration of working conditions into health estimates requires both valid methodology and data sources. Using the French national Health and Career Path Survey and French life tables, we quantified the impact of 4 major work-related factors (lack of job control, job insecurity, unemployment, and occupational physical activity) in explaining socio-occupational inequalities in life expectancy. Using a formula-based approach, we computed work-related loss in life expectancy according to socio-occupational group, separately by sex. Based on life expectancy at age 35 years, we estimated that 1.3-3.3 years of life lost for men and 0.5-1.8 years for women are attributable to a combination of these 4 key factors. Although subject to sources of under- and overestimation, the differential life expectancy at age 35 years between senior executives and manual workers would substantially decrease if these exposures were set at the theoretical minimum level. This proof-of-concept analysis demonstrates the utility of accounting for occupational factors and the potential to quantify improvements in life expectancy that would occur by modifying working and employment conditions.

A Nationwide Exploration of Social Inequalities in Cancer Mortality Amidst the COVID-19 Pandemic in Belgium

BACKGROUND

The COVID-19 pandemic disrupted global health systems, impacting cancer care and potentially increasing cancer mortality, especially among socioeconomically disadvantaged individuals. We aimed to assess changes in cancer mortality from March 1 to December 31, 2020 relative to the same period in 2019, and to examine potential shifts in cancer mortality's social disparities during the same time frame.

METHODS

We used nationwide individually linked cancer mortality data from the Belgian National Register, the Census 2011, and the tax register. Analyses were stratified by age group (45-59 years, 60-74 years, 75+ years) and sex across all cancer types, including breast, colorectal, lung, pancreatic, and prostate. Direct age-standardized mortality rates were calculated in 2019 and 2020 to calculate absolute and relative changes in cancer mortality by social indicators. Relative inequalities in cancer mortality by social groups were calculated for both time frames using Poisson regression. Sensitivity analysis considered any mention of specified cancer groups on the Belgian death certificate.

RESULTS

For both overall and site-specific cancers, our study found decreases in cancer mortality during the pandemic's early stages, particularly among individuals aged 75 and older. These changes did not significantly alter established socioeconomic patterns in cancer mortality.

CONCLUSIONS

Reductions in reported cancer deaths in 2020 may reflect COVID-19 prioritization in cause-of-death coding and its role as a competing risk, rather than true declines. Persistent educational disparities emphasize the need for continued policy and healthcare collaboration, with future research focused on the pandemic's long-term effects on cancer mortality and social inequalities.

Childhood socioeconomic position and healthy ageing: results from five harmonised cohort studies in the ATHLOS consortium

Introduction

Childhood socioeconomic position (SEP) has been identified as a key determinant of health. However, earlier literature is largely from high-income countries and provides limited evidence on the prolonging impacts of childhood disadvantage on healthy ageing across diverse settings and populations. The aim of this study is to investigate the associations between childhood SEP and healthy ageing across multiple countries and the mediation effects of adult SEP, individual education and wealth, on these associations.

Methods

Using the harmonised dataset of five cohort studies in the Ageing Trajectories of Health-Longitudinal Opportunities and Synergies (ATHLOS) project, this study was based on 57 956 people aged ≥50 years (women: 53.3%) living in China, Finland, UK, Poland, South Africa and Mexico. The associations between childhood SEP (parental education and occupation) and healthy ageing scores were examined using linear regression modelling. Causal mediation analysis was carried out to estimate the percentage of indirect effects via adult SEP (individual education and wealth).

Results

Higher levels of childhood SEP were associated with higher healthy ageing scores by up to five points and similar patterns were observed across populations from different countries. The associations were mediated by adult SEP and the range of mediation effects was between 21% and 78%.

Conclusions

This study found childhood SEP was associated with poor health in later life across high-income, middle-income and low-income countries. Addressing socioeconomic disadvantage, such as improving education attainment, may moderate the impacts of adversity in early life and support health and functioning in later life.

Experiences and Needs of Swiss Cancer Survivors in the Domains of Health-Related Information and the Healthcare System

Background/Objectives: In recent years, the number of cancer survivors has rapidly increased in Switzerland, as well as worldwide. As cancer increasingly becomes a chronic condition, numerous bio-psycho-social and spiritual challenges emerge, leading to significant needs for this population. The aims of this study were to determine the experiences of Swiss cancer survivors with two domains, i.e., health-related information and healthcare systems, and their risk factors, and to see whether these experiences align with the needs identified in the literature. Methods: Data from the cross-sectional multicentred survey Swiss Cancer Patient Experiences were analysed. A total of 1870 adult Swiss cancer survivors were included in the analysis. For each domain, an overall score ranging between 0 (poor experience) and 10 (excellent experience) was constructed including 11 and 10 questions, respectively. The questions that highlighted non-positive experiences by patients were grouped to calculate so-called "problematic" scores for each domain; linear and logistic regressions were conducted to identify the variables influencing these problematic scores needs. Results: The mean overall and "problematic" scores were 7.5 (SD 2.6) and 6.8 (SD 3.2), respectively, for health-related information, and 8.0 (SD 2.4) and 7.0 (SD 3.6), respectively, for the healthcare system. Four variables were found to be associated with the problematic scores: geographical location, foregoing care, self-assessed health, and level of health literacy. Conclusions: Swiss cancer survivors reported problematic experiences in the domains of information and healthcare systems which could lead to unmet needs. The systematic assessment of these needs is recommended to improve patients' experiences and provide more effective and supportive follow-up care.

Socioeconomic status across the early life course predicts gene expression signatures of disease and senescence

BACKGROUND

Socioeconomic status (SES) is associated with many chronic diseases, indicators of senescence and mortality. However, the changing salience of SES in the prediction of adult health is not well understood. Using mRNA-seq abundance data from wave V of the National Longitudinal Study of Adolescent to Adult Health (Add Health), we examine the extent to which SES across the early life course is related to gene expression-based signatures for chronic diseases, senescence and inflammation in the late 30s.

METHODS

We use Bayesian methods to identify the most likely model of life course epidemiology (critical, sensitive and accumulation models) that characterises the changing importance of parental SES and SES during young (ages 27-30) and mid-adulthood (ages 36-39) in the prediction of the signatures.

RESULTS

For most signatures, SES is an important predictor in all periods, although parental SES or SES during young adulthood are often the most predictive. For three signatures (components of diabetes, inflammation and ageing), critical period models involving the exclusive salience of SES in young adulthood (for diabetes) or parental SES (for inflammation and ageing) are most probable. The observed associations are likely mediated by body mass index.

CONCLUSION

Models of life course patterns of SES may inform efforts to identify age-specific mechanisms by which SES is associated with health at different points in life and they also suggest an enhanced approach to prediction models that recognise the changing salience of risk factors.

Mediating pathways between attention deficit hyperactivity disorder and type 2 diabetes mellitus: evidence from a two-step and multivariable Mendelian randomization study

AIMS

Type 2 diabetes (T2D) is a global health burden, more prevalent among individuals with attention deficit hyperactivity disorder (ADHD) compared to the general population. To extend the knowledge base on how ADHD links to T2D, this study aimed to estimate causal effects of ADHD on T2D and to explore mediating pathways.

METHODS

We applied a two-step, two-sample Mendelian randomization (MR) design, using single nucleotide polymorphisms to genetically predict ADHD and a range of potential mediators. First, a wide range of univariable MR methods was used to investigate associations between genetically predicted ADHD and T2D, and between ADHD and the purported mediators: body mass index (BMI), childhood obesity, childhood BMI, sedentary behaviour (daily hours of TV watching), blood pressure (systolic blood pressure, diastolic blood pressure), C-reactive protein and educational attainment (EA). A mixture-of-experts method was then applied to select the MR method most likely to return a reliable estimate. We used estimates derived from multivariable MR to estimate indirect effects of ADHD on T2D through mediators.

RESULTS

Genetically predicted ADHD liability associated with 10% higher odds of T2D (OR: 1.10; 95% CI: 1.02, 1.18). From nine purported mediators studied, three showed significant individual mediation effects: EA (39.44% mediation; 95% CI: 29.00%, 49.73%), BMI (44.23% mediation; 95% CI: 34.34%, 52.03%) and TV watching (44.10% mediation; 95% CI: 30.76%, 57.80%). The combination of BMI and EA explained the largest mediating effect (53.31%, 95% CI: -1.99%, 110.38%) of the ADHD-T2D association.

CONCLUSIONS

These findings suggest a potentially causal, positive relationship between ADHD liability and T2D, with mediation through higher BMI, more TV watching and lower EA. Intervention on these factors may thus have beneficial effects on T2D risk in individuals with ADHD.

Is social disadvantage a chronic stressor? Socioeconomic position and HPA axis activity among older adults living in England

INTRODUCTION

Living in socioeconomic disadvantage has been conceptualised as a chronic stressor, although this contradicts evidence from studies using hair cortisol and cortisone as a measure of hypothalamus-pituitary-adrenal (HPA)1 axis activity. These studies used complete case analyses, ignoring the impact of missing data for inference, despite the high proportion of missing biomarker data. The methodological limitations of studies investigating the association between socioeconomic position (SEP)2 defined as education, wealth, and social class and hair cortisol and cortisone are considered in this study by comparing three common methods to deal with missing data: (1) Complete Case Analysis (CCA),3 (2) Inverse Probability Weighting (IPW) 4and (3) weighted Multiple Imputation (MI).5 This study examines if socioeconomic disadvantage is associated with higher levels of HPA axis activity as measured by hair cortisol and cortisone among older adults using three approaches for compensating for missing data.

METHOD

Cortisol and cortisone levels in hair samples from 4573 participants in the 6th wave (2012-2013) of the English Longitudinal Study of Ageing (ELSA)6 were examined, in relation to education, wealth, and social class. We compared linear regression models with CCA, weighted and multiple imputed weighted linear regression models.

RESULTS

Social groups with certain characteristics (i.e., ethnic minorities, in routine and manual occupations, physically inactive, with poorer health, and smokers) were less likely to have hair cortisol and hair cortisone data compared to the most advantaged groups. We found a consistent pattern of higher levels of hair cortisol and cortisone among the most socioeconomically disadvantaged groups compared to the most advantaged groups. Complete case approaches to missing data underestimated the levels of hair cortisol in education and social class and the levels of hair cortisone in education, wealth, and social class in the most disadvantaged groups.

CONCLUSION

This study demonstrates that social disadvantage as measured by disadvantaged SEP is associated with increased HPA axis activity. The conceptualisation of social disadvantage as a chronic stressor may be valid and previous studies reporting no associations between SEP and hair cortisol may be biased due to their lack of consideration of missing data cases which showed the underrepresentation of disadvantaged social groups in the analyses. Future analyses using biosocial data may need to consider and adjust for missing data.

Social Characteristics and Adherence to Adjuvant Endocrine Therapy in Premenopausal Women With Breast Cancer

PURPOSESocial characteristics, including cohabitation/marital status and socioeconomic position (SEP)-education level, employment status, and income-influence breast cancer prognosis. We investigated the impact of these social characteristics on adherence to adjuvant endocrine therapy (AET) from treatment initiation to 5 years after diagnosis.METHODSWe assembled a nationwide, population-based cohort of premenopausal women diagnosed in Denmark with stage I-III, estrogen receptor-positive breast cancer during 2002-2011. We ascertained prediagnostic social characteristics from national registries. AET adherence was based on information from the Danish Breast Cancer Group and operationalized as (1) adherence trajectories (from group-based trajectory modeling) and (2) early discontinuation. We computed odds ratios (ORs) and associated 95% CI to estimate the association of cohabitation and SEP with AET adherence using multinomial and logistic regression models adjusted according to directed acyclic graphs.RESULTSAmong 4,353 patients, we identified three adherence trajectories-high adherence (57%), slow decline (36%), and rapid decline (6.9%). Compared with cohabiting women, those living alone had higher ORs of slow (1.26 [95% CI, 1.08 to 1.46]) or rapid decline (1.66 [95% CI, 1.27 to 2.18]) versus high adherence. The corresponding ORs for women not working versus employed women were 1.22 (95% CI, 1.02 to 1.45) and 1.76 (95% CI, 1.30 to 2.38). For early discontinuation (17%), the ORs were 1.48 (95% CI, 1.23 to 1.78) for living alone and 1.44 (95% CI, 1.17 to 1.78) for women not working.CONCLUSIONAdherence to AET was lower among women living alone or unemployed than cohabiting or employed women, respectively. These women may benefit from support programs to enhance AET adherence.

Adverse health outcomes in offspring of parents with alcohol-related liver disease: Nationwide Danish cohort study

BACKGROUND

Parental drinking can cause harm to the offspring. A parent's diagnosis of alcohol-related liver disease (ALD) might be an opportunity to reach offspring with preventive interventions. We investigated offspring risk of adverse health outcomes throughout life, their association with their parent's educational level and diagnosis of ALD.

METHODS AND FINDINGS

We used nationwide health registries to identify offspring of parents diagnosed with ALD in Denmark 1996 to 2018 and age- and sex-matched comparators (20:1). We estimated the incidence rate ratios (IRRs) of hospital contacts with adverse health outcomes, overall and in socioeconomic strata. We used a self-controlled design to examine whether health outcomes were more likely to occur during the first year after the parent's ALD diagnosis. The 60,804 offspring of parents with ALD had a higher incidence rate of hospital contacts from age 15 to 60 years for psychiatric disease, poisoning, fracture or injury, alcohol-specific diagnoses, other substance abuse, and of death than comparators. Associations were stronger for offspring with low compared to high socioeconomic position: The IRR for admission due to poisoning was 2.2 versus 1.0 for offspring of an ALD parent with a primary level versus a highly educated ALD parent. Offspring had an increased risk for admission with psychiatric disease and poisoning in the year after their parent's ALD diagnosis. For example, among offspring whose first hospital contact with psychiatric disease was at age 13 to 25 years, the IRR in the first year after their parent's ALD diagnosis versus at another time was 1.29 (95% CI 1.13, 1.47). Main limitation was inability to include adverse health outcomes not involving hospital contact.

CONCLUSIONS

Offspring of parents with ALD had a long-lasting higher rate of health outcomes associated with poor mental health and self-harm that increased shortly after their parent's diagnosis of ALD. Offspring of parents of low educational level were particularly vulnerable. This study highlights an opportunity to reach out to offspring in connection with their parent's hospitalization with ALD.

Prognosis and risk factor assessment of patients with advanced lung cancer with low socioeconomic status: model development and validation

BACKGROUND

Lung cancer, a major global health concern, disproportionately impacts low socioeconomic status (SES) patients, who face suboptimal care and reduced survival. This study aimed to evaluate the prognostic performance of traditional Cox proportional hazards (CoxPH) regression and machine learning models, specifically Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGBoost), in patients with advanced lung cancer with low SES.

DESIGN

A retrospective study.

METHOD

The 949 patients with advanced lung cancer with low SES who entered the hospice ward of a tertiary hospital in Wuhan, China, from January 2012 to December 2021 were randomized into training and testing groups in a 3:1 ratio. CoxPH regression methods and four machine learning algorithms (DT, RF, SVM, and XGBoost) were used to construct prognostic risk prediction models.

RESULTS

The CoxPH regression-based nomogram demonstrated reliable predictive accuracy for survival at 60, 90, and 120 days. Among the machine learning models, XGBoost showed the best performance, whereas RF had the lowest accuracy at 60 days, DT at 90 days, and SVM at 120 days. Key predictors across all models included Karnofsky Performance Status (KPS) score, quality of life (QOL) score, and cough symptoms.

CONCLUSIONS

CoxPH, DT, RF, SVM, and XGBoost models are effective in predicting mortality risk over 60-120 days in patients with advanced lung cancer with low SES. Monitoring KPS, QOL, and cough symptoms is crucial for identifying high-risk patients who may require intensified care. Clinicians should select models tailored to individual patient needs and preferences due to varying prediction accuracies.

REPORTING METHOD

This study was reported in strict compliance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guideline.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

The Relationship Between Neighborhood Disadvantage and Markers of Chronic Pain Risk: Findings From the Oklahoma Study of Native American Pain Risk (OK-SNAP)

Socioeconomic disadvantage contributes to health inequities, including chronic pain. Yet, research examining socioeconomic disadvantage and pain risk in Native Americans (NAs) is scant. This exploratory analysis assessed relationships between socioeconomic position (SEP), ethnicity, and neighborhood disadvantage on pronociceptive processes in 272 healthy, chronic pain-free NAs (n = 139) and non-Hispanic Whites (NHWs, n = 133) from the Oklahoma Study of Native American Pain Risk (OK-SNAP). Neighborhood disadvantage was quantified using the Area Deprivation Index (ADI). Regression models tested whether ADI predicted pain-promoting outcomes (ie, peripheral fiber functionality, pain sensitivity, pain and nociceptive amplification, and endogenous pain inhibition) above-and-beyond SEP and ethnicity. The Ethnicity × ADI interaction was also tested. Of the 11 outcomes tested, 9 were not statistically significant. Of the significant findings, neighborhood disadvantage predicted impaired inhibition of the nociceptive flexion reflex above-and-beyond SEP and ethnicity. Additionally, ethnicity moderated the relationship between ADI and warm detection threshold; disadvantage was associated with higher thresholds for NAs, but not for NHWs. Together, the results suggest neighborhood disadvantage is associated with reduced C-fiber function and impaired spinal inhibition, thus pointing to a role of neighborhood disadvantage in the relationship between the environment and pain inequities. PERSPECTIVE: This study assessed neighborhood socioeconomic disadvantage and pronociceptive processes in chronic pain-free Native Americans (NAs) and non-Hispanic Whites (NHWs). Irrespective of ethnicity, greater neighborhood disadvantage predicted less descending inhibition of spinal nociception. Neighborhood disadvantage was associated with a marker of C-fiber impairment (higher warm detection threshold) in NAs only.

Investigating the impact of poverty on mental illness in the UK Biobank using Mendelian randomization

It is unclear whether poverty and mental illness are causally related. Using UK Biobank and Psychiatric Genomic Consortium data, we examined evidence of causal links between poverty and nine mental illnesses (attention deficit and hyperactivity disorder (ADHD), anorexia nervosa, anxiety disorder, autism spectrum disorder, bipolar disorder, major depressive disorder, obsessive-compulsive disorder, post-traumatic stress disorder and schizophrenia). We applied genomic structural equation modelling to derive a poverty common factor from household income, occupational income and social deprivation. Then, using Mendelian randomization, we found evidence that schizophrenia and ADHD causally contribute to poverty, while poverty contributes to major depressive disorder and schizophrenia but decreases the risk of anorexia nervosa. Poverty may also contribute to ADHD, albeit with uncertainty due to unbalanced pleiotropy. The effects of poverty were reduced by approximately 30% when we adjusted for cognitive ability. Further investigations of the bidirectional relationships between poverty and mental illness are warranted, as they may inform efforts to improve mental health for all.

Access to community-based eye services in Meru, Kenya: a cross-sectional equity analysis

BACKGROUND

Over 80% of blindness in Kenya is due to curable or preventable causes and 7.5 m Kenyans currently need eye services. Embedding sociodemographic data collection into screening programmes could help identify the groups facing systematic barriers to care. We aimed to determine the sociodemographic characteristics that were associated with access among patients diagnosed with an eye problem and referred for treatment in the Vision Impact Programme, currently operating in Meru County.

METHOD

We used an embedded, pragmatic, cross-sectional design. A list of sociodemographic questions was developed with input from key stakeholders. The final question set included the following domains: age, gender, religion, marital status, disability, education, occupation, income, housing, assets, and health insurance. These were integrated into an app that is used to screen, refer, and check-in (register) participants within a major eye screening programme. We gathered data from 4,240 people who screened positive and were referred to their local outreach treatment clinic. We used logistic regression to identify which groups were facing the greatest barriers to accessing care.

RESULTS

A quarter of those screened between April - July 2023 were found to have an eye problem and were referred, however only 46% of these people were able to access care. In our fully adjusted model, at the 0.05 level there were no statistically significant differences in the odds of attendance within the domains of disability, health insurance, housing, income, or religion. Strong evidence (p < 0.001) was found of an association between access and age, gender, and occupation; with males, younger adults, and those working in sales, services and manual jobs the least likely to receive care.

CONCLUSIONS

Access to essential eye services is low and unequal in Meru, with less than a third of those aged 18-44 receiving the care they need. Future work should explore the specific barriers faced by this group.

Mapping the costs and socioeconomic characteristics involved in traumatic brain injuries: a scoping review

OBJECTIVE

To identify the articles in the existing literature that analyse healthcare costs according to the socioeconomic position (pre- or post-injury) for traumatic brain injury survivors. Secondary aims were to describe the types of costs and socioeconomic characteristics and to determine whether socioeconomic characteristics affect the risk of traumatic brain injury or whether the consequences of trauma alter living conditions post-injury.

METHODS

This scoping review followed the methods proposed by Arksey and O'Malley. The literature search was performed in 5 databases.

RESULTS

Twenty-two articles were included, published between 1988 and 2023. Only 2 articles (9%) followed the guidelines for economic evaluation of healthcare programmes and 2 articles (9%) evaluated socioeconomic position "completely" with 3 main individual measures of socioeconomic characteristics (i.e., education, income, and occupation). The relationship between costs and socioeconomic characteristics could vary in 2 ways in traumatic brain injury: socioeconomic disadvantage was mostly associated with higher healthcare costs, and the cost of healthcare reduced the survivors' living conditions.

CONCLUSION

This work highlights the need for a detailed and methodologically sound assessment of the relationship between socioeconomic characteristics and the costs associated with trauma. Modelling the care pathways of traumatic brain injury would make it possible to identify populations at risk of poor recovery or deterioration following a TBI, and to develop specific care pathways. The aim is to build more appropriate, effective, and equitable care programmes.

Potentially inappropriate prescribing (PIP) in older people and its association with socioeconomic deprivation-a systematic review and narrative synthesis

BACKGROUND

Potentially inappropriate prescribing (PIP) refers to the prescription of medications that carry a higher risk of adverse outcomes, such as drug interactions, falls, and cognitive impairment. PIP is of particular concern in older adults, and is associated with increased morbidity, mortality, and healthcare costs. Socioeconomic deprivation has been identified as a potential risk factor for PIP. However, the extent of this relationship remains unclear. This review aimed to synthesize the current literature on the association between PIP and socioeconomic status (SES) in older adults.

METHODS

A literature search was conducted using the databases Medline, Embase and CINAHL. A search strategy was developed to capture papers examining three key concepts: PIP, socioeconomic deprivation and older/elderly populations. Peer-reviewed quantitative research published between 1/1/2000 and 31/12/2022 was eligible for inclusion.

RESULTS

Twenty articles from 3,966 hits met the inclusion criteria. The sample size of included studies ranged from 668 to 16.5million individuals, with the majority from Europe (n = 8) and North America (n = 8). Most defined older patients as being 65 or over (n = 12) and used income (n = 7) or subsidy eligibility (n = 5) to assess SES. In all, twelve studies reported a statistically significant association between socioeconomic deprivation and an increased likelihood of experiencing PIP. Several of these reported some association after adjusting for number of drugs taken, or the presence of polypharmacy. The underlying reasons for the association are unclear, although one study found that the association between deprivation and higher PIP prevalence could not be explained by poorer access to healthcare facilities or practitioners.

CONCLUSION

The findings suggest some association between an older person's SES and their likelihood of being exposed to PIP. SES appears to be one of several factors that act independently and in concert to influence an older person's likelihood of experiencing PIP. This review highlights that prioritising older people living in socioeconomically-deprived circumstances may be an efficient strategy when carrying out medication reviews.

Deciphering the environmental chemical basis of muscle quality decline by interpretable machine learning models

BACKGROUND

Sarcopenia is known as a decline in skeletal muscle quality and function that is associated with age. Sarcopenia is linked to diverse health problems, including endocrine-related diseases. Environmental chemicals (ECs), a broad class of chemicals released from industry, may influence muscle quality decline.

OBJECTIVES

In this work, we aimed to simultaneously elucidate the associations between muscle quality decline and diverse EC exposures based on the data from the 2011-2012 and 2013-2014 survey cycles in the National Health and Nutrition Examination Survey (NHANES) project using machine learning models.

METHODS

Six machine learning models were trained based on the EC and non-EC exposures from NHANES to distinguish low from normal muscle quality index status. Different machine learning metrics were evaluated for these models. The Shapley additive explanations (SHAP) approach was used to provide explainability for machine learning models.

RESULTS

Random forest (RF) performed best on the independent testing data set. Based on the testing data set, ECs can independently predict the binary muscle quality status with good performance by RF (area under the receiver operating characteristic curve = 0.793; area under the precision-recall curve = 0.808). The SHAP ranked the importance of ECs for the RF model. As a result, several metals and chemicals in urine, including 3-phenoxybenzoic acid and cobalt, were more associated with the muscle quality decline.

CONCLUSIONS

Altogether, our analyses suggest that ECs can independently predict muscle quality decline with a good performance by RF, and the SHAP-identified ECs can be closely related to muscle quality decline and sarcopenia. Our analyses may provide valuable insights into ECs that may be the important basis of sarcopenia and endocrine-related diseases in United States populations.

Impact of socioeconomic status on healthy immune responses in humans

Individuals with low socioeconomic status (SES) are at greater risk of contracting and developing severe disease compared with people with higher SES. Age, sex, host genetics, smoking and cytomegalovirus (CMV) serostatus are known to have a major impact on human immune responses and thus susceptibility to infection. However, the impact of SES on immune variability is not well understood or explored. Here, we used data from the Milieu Intérieur project, a study of 1000 healthy volunteers with extensive demographic and biological data, to examine the effect of SES on immune variability. We developed an Elo-rating system using socioeconomic features such as education, income and home ownership status to objectively rank SES in the 1000 donors. We observed sex-specific SES associations, such as females with a low SES having a significantly higher frequency of CMV seropositivity compared with females with high SES, and males with a low SES having a significantly higher frequency of active smoking compared with males with a high SES. Using random forest models, we identified specific immune genes which were significantly associated with SES in both baseline and immune challenge conditions. Interestingly, many of the SES associations were sex stimuli specific, highlighting the complexity of these interactions. Our study provides a new way of computing SES in human populations that can help identify novel SES associations and reinforces biological evidence for SES-dependent susceptibility to infection. This should serve as a basis for further understanding the molecular mechanisms behind SES effects on immune responses and ultimately disease.

Risk of alcohol-associated liver disease in the offspring of parents with alcohol-associated liver disease: A nationwide cohort study

BACKGROUND AND AIMS

Offspring of patients with alcohol-associated liver disease (ALD) may have a higher risk of ALD. We examined their risk of ALD and survival with ALD.

APPROACH AND RESULTS

We used Danish nationwide registries to identify the offspring of patients diagnosed with ALD in 1996-2018 and 20:1 matched comparators from the general population. They were followed for ALD diagnosis through 2018. We used landmark competing risk analysis to estimate the age-specific absolute and relative 10-year risks of ALD. ALD was diagnosed in 385 of 60,707 offspring and 2842 of 1,213,357 comparators during 0.7 and 14.0 million person-years of follow-up, respectively, yielding an incidence rate ratio of 2.73 (95% CI: 2.44-3.03). The risk of being diagnosed with ALD within the next 10 years peaked at age 55 years for offspring and age 57 years for comparators with 10-year risks of 1.66% (95% CI: 1.16-2.30) in offspring and 0.81% (95% CI: 0.68-0.97) in comparators at these ages. Offspring were younger at ALD diagnosis than comparators (median age of 47.4 vs. 48.9 years), yet slightly more of them had developed cirrhosis (60.3% vs. 58.7%). Survival after ALD diagnosis was similar in offspring and comparators, adjusted hazard ratio=1.03 (95% CI: 0.88-1.21), so on average offspring died younger due to their younger age at diagnosis.

CONCLUSIONS

Offspring of patients with ALD had a low but increased risk of ALD. Screening offspring for chronic liver disease may be unnecessary, but other interventions to mitigate alcohol-associated harm should be considered.

Depressive symptoms in adolescence and adult educational and employment outcomes: a structured life course analysis

BACKGROUND

Depression is a common mental health disorder that often starts during adolescence, with potentially important future consequences including 'Not in Education, Employment or Training' (NEET) status.

METHODS

We took a structured life course modeling approach to examine how depressive symptoms during adolescence might be associated with later NEET status, using a high-quality longitudinal data resource. We considered four plausible life course models: (1) an early adolescent sensitive period model where depressive symptoms in early adolescence are more associated with later NEET status relative to exposure at other stages; (2) a mid adolescent sensitive period model where depressive symptoms during the transition from compulsory education to adult life might be more deleterious regarding NEET status; (3) a late adolescent sensitive period model, meaning that depressive symptoms around the time when most adults have completed their education and started their careers are the most strongly associated with NEET status; and (4) an accumulation of risk model which highlights the importance of chronicity of symptoms.

RESULTS

Our analysis sample included participants with full information on NEET status (N = 3951), and the results supported the accumulation of risk model, showing that the odds of NEET increase by 1.015 (95% CI 1.012-1.019) for an increase of 1 unit in depression at any age between 11 and 24 years.

CONCLUSIONS

Given the adverse implications of NEET status, our results emphasize the importance of supporting mental health during adolescence and early adulthood, as well as considering specific needs of young people with re-occurring depressed mood.

Associations between socioeconomic status and rates of blood pressure changes among Chinese older adults: a longitudinal community-based cohort study

OBJECTIVES

The relationships between socioeconomic status (SES) and blood pressure changes among older adults in China remain unclear. This study aimed to examine the associations between SES and rates of blood pressure changes among Chinese older adults.

STUDY DESIGN

Community-based, prospective, longitudinal cohort study.

METHODS

This study included 13,541 participants aged ≥65 years from the Chinese Longitudinal Healthy Longevity Survey between 2002 and 2018. SES was assessed by educational level, occupation, household yearly per capita income, and financial support. The estimated annual changes (EACs) of blood pressure were computed as the difference in blood pressure levels between any two adjacent surveys divided by the time interval. Associations between SES and EACs of blood pressure were evaluated using generalised estimating equations.

RESULTS

Lower SES was significantly associated with greater annual increases of blood pressure among Chinese older adults. The effect of SES on EACs of blood pressure was more pronounced among non-hypertensive participants. Compared to EACs among non-hypertensive participants with high SES, multivariable-adjusted EACs among those with low SES increased by 0.57 mmHg (95% confidence interval [CI]: 0.16, 0.99), 0.32 mmHg (95% CI: 0.07, 0.57), and 0.40 mmHg (95% CI: 0.13, 0.66) for systolic blood pressure, diastolic blood pressure, and mean arterial pressure, respectively.

CONCLUSIONS

This study revealed strong associations between SES and EACs of blood pressure among Chinese older adults, especially in the non-hypertensive population. Findings suggest that prevention strategies for hypertension should pay more attention to the older population with low SES.

Optimizing Interventions for Equitability: Some Initial Ideas

Interventions (including behavioral, biobehavioral, biomedical, and social-structural interventions) hold tremendous potential not only to improve public health overall but also to reduce health disparities and promote health equity. In this study, we introduce one way in which interventions can be optimized for health equity in a principled fashion using the multiphase optimization strategy (MOST). Specifically, we define intervention equitability as the extent to which the health benefits provided by an intervention are distributed evenly versus concentrated among those who are already advantaged, and we suggest that, if intervention equitability is acknowledged to be a priority, then equitability should be a key criterion that is balanced with other criteria (effectiveness overall, as well as affordability, scalability, and/or efficiency) in intervention optimization. Using a hypothetical case study and simulated data, we show how MOST can be applied to achieve a strategic balance that incorporates equitability. We also show how the composition of an optimized intervention can differ when equitability is considered versus when it is not. We conclude with a vision for next steps to build on this initial foray into optimizing interventions for equitability.

Changes in prevalence and socioeconomic inequalities in secondhand smoke exposure in Spanish children, 2016-2019

INTRODUCTION

Children are vulnerable to secondhand smoke (SHS) exposure, especially those with lower socioeconomic status. This study assesses the changes in prevalence and socioeconomic inequalities in SHS exposure in children younger than 12 years old in Spain between 2016 and 2019.

METHODS

We conducted two cross-sectional studies among representative samples of households with children aged <12 years in Spain, in 2016 (n=2411) and 2019 (n=2412). Families were interviewed to assess children's SHS exposure in private settings and outdoor public venues and their adoption of home and car smoke-free rules. We used the education level of the home main earner as a proxy for socioeconomic position. Changes over time in the prevalence and socioeconomic inequalities of SHS exposure and smoke-free rules were estimated through adjusted Poisson regression models with robust variance according to sociodemographic covariates (adjusted prevalence ratios, APRs).

RESULTS

In 2019, 70.5% of children were exposed to SHS in Spain. No changes between 2016 and 2019 were found for overall SHS exposure, exposure at home, and at school entrances. SHS exposure increased at public transport stations (APR=1.24; 95% CI: 1.03-1.49) and outdoor hospitality venues (APR=1.17; 95% CI: 1.07-1.29) while it decreased in cars (APR=0.74; 95% CI: 0.56-0.98) and parks (APR=0.87; 95% CI: 0.77-0.98). Households with lower education level had higher prevalence of SHS exposure at home in 2019 compared with those with university studies (primary: APR=1.30; 95% CI: 1.11-1.51; secondary: APR=1.12; 95% CI: 1.00-1.25) and were less likely to adopt home indoor smoke-free rules (primary: APR=0.88; 95% CI: 0.79-0.99; secondary: APR=0.95; 95% CI: 0.89-1.02). Socioeconomic inequalities in SHS exposure at home persisted between 2016 and 2019 (p>0.05), while decreased in smoke-free rules in cars (p=0.039).

CONCLUSIONS

Reported SHS exposure among children in Spain remained high between 2016 and 2019. Inequalities persisted at home, highlighting the need for measures to reduce such exposure with an equity perspective.

Early mortality in children with cancer in Denmark and Sweden: The role of social background in a setting with universal healthcare

Socioeconomic differences in overall survival from childhood cancer have been shown previously, but the underlying mechanisms remain unclear. We aimed to investigate if social inequalities were seen already for early mortality in settings with universal healthcare. From national registers, all children diagnosed with cancer at ages 0-19 years, during 1991-2014, in Sweden and Denmark, were identified, and information on parental social characteristics was collected. We estimated odds ratios (OR) and 95% confidence intervals (CI) of early mortality (death within 90 days after cancer diagnosis) by parental education, income, employment, cohabitation, and country of birth using logistic regression. For children with acute lymphoblastic leukaemia (ALL), clinical characteristics were obtained. Among 13,926 included children, 355 (2.5%) died within 90 days after diagnosis. Indications of higher early mortality were seen among the disadvantaged groups, with the most pronounced associations observed for maternal education (ORadj_Low_vs_High 1.65 [95% CI 1.22-2.23]) and income (ORadj_Q1(lowest)_vs_Q4(highest) 1.77 [1.25-2.49]). We found attenuated or null associations between social characteristics and later mortality (deaths occurring 1-5 years after cancer diagnosis). In children with ALL, the associations between social factors and early mortality remained unchanged when adjusting for potential mediation by clinical characteristics. In conclusion, this population-based cohort study indicated differences in early mortality after childhood cancer by social background, also in countries with universal healthcare. Social differences occurring this early in the disease course requires further investigation, also regarding the timing of diagnosis.

Socioeconomic Position and Health Among Children and Adolescents With CKD Across the Life-Course

Children and adolescents in families of lower socioeconomic position (SEP) experience an inequitable burden of reduced access to healthcare and poorer health. For children living with chronic kidney disease (CKD), disadvantaged SEP may exacerbate their considerable disease burden. Across the life-course, CKD may also compromise the SEP of families and young people, leading to accumulating health and socioeconomic disadvantage. This narrative review summarizes the current evidence on relationships of SEP with kidney care and health among children and adolescents with CKD from a life-course approach, including impacts of family SEP on kidney care and health, and bidirectional impacts of CKD on SEP. It highlights relevant conceptual models from social epidemiology, current evidence, clinical and policy implications, and provides directions for future research. Reflecting the balance of available evidence, we focus primarily on high-income countries (HICs), with an overview of key issues in low- and middle-income countries (LMICs). Overall, a growing body of evidence indicates sobering socioeconomic inequities in health and kidney care among children and adolescents with CKD, and adverse socioeconomic impacts of CKD. Dedicated efforts to tackle inequities are critical to ensuring that all young people with CKD have the opportunity to live long and flourishing lives. To prevent accumulating disadvantage, the global nephrology community must advocate for local government action on upstream social determinants of health; and adopt a life-course approach to kidney care that proactively identifies and addresses unmet social needs, targets intervening factors between SEP and health, and minimizes adverse socioeconomic outcomes across financial, educational and vocational domains.

Social inequalities in pregnancy metabolic profile: findings from the multi-ethnic Born in Bradford cohort study

BACKGROUND

Lower socioeconomic position (SEP) associates with adverse pregnancy and perinatal outcomes and with less favourable metabolic profile in nonpregnant adults. Socioeconomic differences in pregnancy metabolic profile are unknown. We investigated association between a composite measure of SEP and pregnancy metabolic profile in White European (WE) and South Asian (SA) women.

METHODS

We included 3,905 WE and 4,404 SA pregnant women from a population-based UK cohort. Latent class analysis was applied to nineteen individual, household, and area-based SEP indicators (collected by questionnaires or linkage to residential address) to derive a composite SEP latent variable. Targeted nuclear magnetic resonance spectroscopy was used to determine 148 metabolic traits from mid-pregnancy serum samples. Associations between SEP and metabolic traits were examined using linear regressions adjusted for gestational age and weighted by latent class probabilities.

RESULTS

Five SEP sub-groups were identified and labelled 'Highest SEP' (48% WE and 52% SA), 'High-Medium SEP' (77% and 23%), 'Medium SEP' (56% and 44%) 'Low-Medium SEP' (21% and 79%), and 'Lowest SEP' (52% and 48%). Lower SEP was associated with more adverse levels of 113 metabolic traits, including lower high-density lipoprotein (HDL) and higher triglycerides and very low-density lipoprotein (VLDL) traits. For example, mean standardized difference (95%CI) in concentration of small VLDL particles (vs. Highest SEP) was 0.12 standard deviation (SD) units (0.05 to 0.20) for 'Medium SEP' and 0.25SD (0.18 to 0.32) for 'Lowest SEP'. There was statistical evidence of ethnic differences in associations of SEP with 31 traits, primarily characterised by stronger associations in WE women e.g., mean difference in HDL cholesterol in WE and SA women respectively (vs. Highest-SEP) was -0.30SD (-0.41 to -0.20) and -0.16SD (-0.27 to -0.05) for 'Medium SEP', and -0.62SD (-0.72 to -0.52) and -0.29SD (-0.40 to -0.20) for 'Lowest SEP'.

CONCLUSIONS

We found widespread socioeconomic differences in metabolic traits in pregnant WE and SA women residing in the UK. Further research is needed to understand whether the socioeconomic differences we observe here reflect pre-conception differences or differences in the metabolic pregnancy response. If replicated, it would be important to explore if these differences contribute to socioeconomic differences in pregnancy outcomes.

Occupational inequalities and gender differences: work accidents, Brazil, 2019

OBJECTIVE

To analyze the distribution and association of sociodemographic and occupational factors with self-reported work accidents (WA) in a representative sample of the Brazilian population, with emphasis on occupational class, and to examine gender differences in this distribution.

METHODS

A population-based cross-sectional study, using data from the 2019 National Health Survey (PNS), analyzed the responses of a sample of adults aged 18 or over. Factors associated with WA were investigated using binary logistic regression and hierarchical analysis using blocks (sociodemographic and occupational variables). The final model was adjusted by variables from all blocks, adopting a significance level of 5%. The values of odds ratios (OR) and respective confidence intervals were obtained.

RESULTS

Among the participants, 2.69% reported having suffered a WA, with a higher prevalence in men (3.37%; 95%CI 2.97-3.82%) than in women (1.86%; 95%CI 1.55-2.23%). The analysis identified that age group, night work, working hours, and exposure to occupational risks were associated with WA, with emphasis on gender differences. The class of manual workers, both qualified (ORwomen = 2.87; 95%CI 1.33-6.21 and ORmen = 2.46; 95%CI 1.37-4.40) and unskilled (ORwomen = 2.55; 95%CI 1.44-4.50 and ORmen = 3.70; 95%CI 1.95-7.03), had a higher chance of WA than the class of managers/professionals.

CONCLUSION

Occupational factors contributed significantly to the increase in the probability of WA for men and women, with greater magnitude among those positioned in the lower strata of the occupational structure. The results obtained are clues for working out WA prevention actions.

Public acceptability of proposals to manage new takeaway food outlets near schools: cross-sectional analysis of the 2021 International Food Policy Study

Global trends indicate that takeaway food is commonly accessible in neighbourhood food environments. Local governments in England can use spatial planning to manage the opening of new takeaway outlets in 'takeaway management zones around schools' (known sometimes as 'exclusion zones'). We analysed data from the 2021 International Food Policy Study to investigate public acceptability of takeaway management zones around schools. Among adults living in Great Britain (n = 3323), 50.8% supported, 8.9% opposed, and 37.3% were neutral about the adoption of these zones. Almost three-quarters (70.4%) believed that these zones would help young people to eat better. Among 16-17 year olds (n = 354), 33.3% agreed that young people would consume takeaway food less often if there were fewer takeaways near schools. Using adjusted logistic regression, we identified multiple correlates of public support for and perceived effectiveness of takeaway management zones. Odds of support were strongest among adults reporting that there were currently too many takeaways in their neighbourhood food environment (odds ratio: 2.32; 95% confidence intervals: 1.61, 3.35). High levels of support alongside limited opposition indicate that proposals for takeaway management zones around schools would not receive substantial public disapproval. Policy makers should not, therefore, use limited public support to rationalise policy inertia.

The role of lifestyle factors in the association between education and self-reported fibromyalgia: a mediation analysis

BACKGROUND

Socioeconomic status as measured by education, income, or occupation, has been associated with fibromyalgia but the underlying mechanism and the role of lifestyle factors are unclear. Thus, we examine the role of modifiable lifestyle factors (body mass index, physical activity, alcohol consumption and smoking) in the association between education and self-reported fibromyalgia.

METHODS

We used data from 74,157 participants in the population-based prospective Norwegian Women and Cancer (NOWAC) study. Socioeconomic position, operationalized as years of educational attainment, and lifestyle factors were assessed via self-reported questionnaires. Multiple mediation analysis was used to decompose total effects into direct and indirect effects. Estimates were reported as hazard ratios (HRs) with 95% confidence intervals (CIs).

RESULTS

The cumulative incidence of fibromyalgia was 3.2% after a median follow up time of 13 years. Fibromyalgia was inversely associated with years of educational attainment for ≤ 9 years (HR = 2.56; 95% CI 2.32-2.91) and for 10-12 years (HR = 1.84; 95% CI 1.72-2.02), compared with ≥ 13 years of education. Overall, all lifestyle factors together jointly mediated 17.3% (95% CI 14.3-21.6) and 14.1% (95% CI 11.3-18.9) of the total effect for ≤ 9 years and 10-12 years of education, respectively. Smoking and alcohol consumption contributed the most to the proportion mediated, for ≤ 9 years (5.0% and 7.0%) and 10-12 years (5.6% and 4.5%) of education.

CONCLUSION

The association between education and self-reported fibromyalgia was partly explained through lifestyle factors, mainly smoking and alcohol consumption.

The Factor Structure and Generalizability of the Iranian Socioeconomic Status (SES) Questionnaire Administered in a Nationally Divergent Population

Background

Measuring socioeconomic status (SES) as an independent variable is challenging, especially in epidemiological and social studies. This issue is more critical in large-scale studies on the national level. The present study aimed to extensively evaluate the validity and reliability of the Iranian SES questionnaire.

Methods

This psychometric, cross-sectional study was conducted on 3000 households, selected via random cluster sampling from various areas in East Azerbaijan province and Tehran, Iran. Moreover, 250 students from Tabriz University of Medical Sciences were selected as interviewers to collect data from 40 districts in Iran. The construct validity and internal consistency of the SES questionnaire were assessed using exploratory and confirmatory factor analyses and the Cronbach's alpha. Data analysis was performed in SPSS and AMOS.

Results

The complete Iranian version of the SES questionnaire consists of 5 factors. The Cronbach's alpha was calculated to be 0.79, 0.94, 0.66, 0.69, and 0.48 for the occupation, self-evaluation of economic capacity, house and furniture, wealth, and health expenditure, respectively. In addition, the confirmatory factor analysis results indicated the data's compatibility with the 5-factor model (comparative fit index = 0.96; goodness of fit index = 0.95; incremental fit index = 0.96; root mean square error of approximation = 0.05).

Conclusion

According to the results, the confirmed validity and reliability of the tool indicated that the Iranian version of the SES questionnaire could be utilized with the same structure on an extensive level and could be applicable for measuring the SES in a broader range of populations.

Worldwide cohort studies to support healthy ageing research: data availabilities and gaps

BACKGROUND

Population ageing is a transforming demographic force. To support evidence-based efforts for promoting healthy ageing, a summary of data availabilities and gaps to study ageing is needed.

METHOD

Through a multifaceted search strategy, we identified relevant cohort studies worldwide to studying ageing and provided a summary of available pertinent measurements. Following the World Health Organization's definition of healthy ageing, we extracted information on intrinsic capacity domains and sociodemographic, social, and environmental factors.

RESULTS

We identified 287 cohort studies. South America, the Middle East, and Africa had a limited number of cohort studies to study ageing compared to Europe, Oceania, Asia, and North America. Data availabilities of different measures varied substantially by location and study aim. Using the information collected, we developed a web-based Healthy Ageing Toolkit to facilitate healthy ageing research.

CONCLUSIONS

The comprehensive summary of data availability enables timely evidence to contribute to the United Nations Decades of Healthy Ageing goals of promoting healthy ageing for all. Highlighted gaps guide strategies for increased data collection in regions with limited cohort studies. Comprehensive data, encompassing intrinsic capacity and various sociodemographic, social, and environmental factors, is crucial for advancing our understanding of healthy ageing and its underlying pathways.

Socioeconomic inequalities in cardiovascular disease: a causal perspective

Socioeconomic inequalities in cardiovascular disease (CVD) persist in high-income countries despite marked overall declines in CVD-related morbidity and mortality. After decades of research, the field has struggled to unequivocally answer a crucial question: is the association between low socioeconomic position (SEP) and the development of CVD causal? We review relevant evidence from various study designs and disciplinary perspectives. Traditional observational, family-based and Mendelian randomization studies support the widely accepted view that low SEP causally influences CVD. However, results from quasi-experimental and experimental studies are both limited and equivocal. While more experimental and quasi-experimental studies are needed to aid causal understanding and inform policy, high-quality descriptive studies are also required to document inequalities, investigate their contextual dependence and consider SEP throughout the lifespan; no simple hierarchy of evidence exists for an exposure as complex as SEP. The COVID-19 pandemic illustrates the context-dependent nature of CVD inequalities, with the generation of potentially new causal pathways linking SEP and CVD. The linked goals of understanding the causal nature of SEP and CVD associations, their contextual dependence, and their remediation by policy interventions necessitate a detailed understanding of society, its change over time and the phenotypes of CVD. Interdisciplinary research is therefore key to advancing both causal understanding and policy translation.

Health inequalities in the geographic distribution of dental practitioners in Costa Rica: An ecological study

OBJECTIVE

The uneven distribution of dental health services in a territory can cause an imbalance in accessibility, increasing health inequalities. This study aimed to describe the geographical distribution of dental health practitioners according to urbanicity and area-level socio-economic status in Costa Rica.

METHODS

A National Dentist Survey was developed to identify employment status, number of working hours, address and list of the working clinics. Data was completed using information from the national College of Surgeons, including all Costa Rican dentists. The Minimal Geographic Units (MGU) allowed for aggregating the population's individual level socio-economic position. Local Potential Accessibility (LPA) calculated the density of full-time hour's equivalents around each MGU using floating sectors. Clinics were geocoded using Geographic Information Systems, creating 2853 clinical points. Distance between each MGU and the nearest accessible clinics considering full-time working hours equivalents was estimated. MGU were divided into six categories: 'No accessibility', 'Very low accessibility', 'Low accessibility', 'Good accessibility' 'High accessibility' and 'Very high accessibility'.

RESULTS

Mean national LPA was 6.5 full-time equivalents per 10 000 inhabitants, 3.4% of the Costa Rican population had no access to dentist; 12.9% had very low accessibility, 22.7% had low accessibility, 35.0% had good accessibility, 16.2% had high accessibility, and 9.8% had very high accessibility. Overall, 39% of the population has a rather low accessibility. LPA was higher in urban districts compared to rural districts and in wealthiest districts compared to most disadvantaged districts. Within districts, after adjustment for district's characteristics, LPA was higher in urban MGU compared to rural MGU and in wealthiest MGU compared to most disadvantaged MGU.

CONCLUSIONS

This study found that despite having a high number of dentists, their numbers are small in many areas, increasing inequalities in access to health care. The dentist's free establishment, where they can decide to provide private services within a community, creates zones with very high densities, in particular in the wealthiest urban areas, and others with very low densities, in particular the poorest rural areas. The lack of territorial planning has been one of the reasons that has encouraged an imbalance in the availability of dental human resources. To achieve effective universal health coverage, public institutions should focus their efforts on improving access to dental services in underserved areas.

Exploring avoidance of dental care due to dental fear and economic burden -A cross-sectional study in a national sample of younger adults in Norway

AIM

To assess the prevalence of dental avoidance due to dental fear and economic burden and its distribution by utilization of dental care and socio-behavioural characteristics.

METHOD

A sample of 9052 Norwegian adults aged 25-35 years was invited to participate, and 2551 completed electronic questionnaires regarding lifetime prevalence of dental avoidance due to fear and last year prevalence of dental avoidance due to economic burden.

RESULTS

Cancelled- and avoided ordering appointments due to fear amounted to 14.7% and 30.5%, respectively. Avoidance of dental visits due to cost was 37.7%. Frequency of cancelled appointments due to fear was 30% and 16.6% among participants attending dental care several times annually and seldom, respectively. Multiple logistic regression revealed that avoiding dental visits due to cost was less likely among participants with higher household income (OR 0.4, 95% CI 0.3-0.5) and more likely among participants with dental care need (OR 1.8, 95% CI 1.2-2.7). Cancelled and avoided appointments due to fear was most likely among those with need for dental care and lower education. Early unpleasant experience with dental care remained a covariate of avoidance behaviour due to fear.

CONCLUSION

14.7%, 30.5%, and 37.7% confirmed cancelled appointments due to fear, avoided ordering appointments due to fear, and avoided visiting the dentist due to cost. Avoiding dental care due to fear and economic burden was more and less common among participants with respectively, frequent and seldom use of dental care. Dental avoidance behaviours were highest among socially disadvantaged groups, indicating a hole in the welfare state model that needs political consideration.

Appropriate Categorization of Inequality to Inform Policy Decisions: Estimating Distribution of Lifetime Health Using Alternative Approaches to Socioeconomic Stratification

OBJECTIVES

Estimation of gradients in lifetime health, notably quality-adjusted life expectancy (QALE), has largely focused on index of multiple deprivation to categorize the population by socioeconomic position. In this article, we estimate QALE using alternate, individual- rather than area-level, indicators of socioeconomic position.

METHODS

Building on previous research methods, the distribution of QALE is estimated across education and income groups based on data from the Health Survey for England and the Office for National Statistics. QALE is estimated for each group by combining multivariate mortality rates and health-related quality of life (HRQL) weights using life tables. HRQL weights were estimated using ordinary least squares and missing data were handled using multiple imputation.

RESULTS

The estimated lifetime HRQL weights decreased with increased age, lower educational attainment, and lower income. For example, the QALE at birth for males in the lowest educational attainment group was 61.69 quality-adjusted life-years (QALYs), 1.54 QALYs lower than females in the same group. This is in contrast to 76.58 and 75.89 QALYs for males and females in the highest educational attainment group, respectively. A similar trend was observed across income quintiles albeit the gap was less pronounced.

CONCLUSIONS

The use of index of multiple deprivation to assess health inequalities may be masking important information about individual-level variation. Decisions makers should consider this alongside the merits of using area-level approaches to categorizing the population if individual-level approaches are preferable.

Functional limitation in the older Brazilian adults: Association with multimorbidity and socioeconomic conditions

The aim of this study was to assess the association between multimorbidity and the presence of functional limitation in basic (BADL) and instrumental activities of daily living (IADL) among Brazilian older adults and to verify whether this association is moderated by socioeconomic conditions. Cross-sectional study with data from the Brazilian National Health Survey (PNS) (2019) for the Brazilian population aged 60 years and over. The dependent variables were functional limitation, based on self-reported difficulty in performing one or more activities of daily living, including six BADL (feeding, bathing, using the toilet, dressing, crossing a room on the same floor and getting out of bed) and four IADL (shopping, managing money, taking medication and using transportation). The independent variables were multimorbidity (presence of two or more self-reported chronic diseases) and socioeconomic measures (per capita household income, asset score, and education level). The association between multimorbidity and outcomes was assessed using adjusted logistic regression models. The moderating effect of socioeconomic conditions on the association between multimorbidity and functional limitations was assessed by including an interaction term. The final sample consisted of 22,725 individuals. The prevalence of functional limitation was 8.5% (95%CI: 7.9-9.2) and 18.6% (95%CI: 17.8-19.5) in BADL and IADL, respectively. Multimorbidity was associated with BADL [OR: 2.30 (95%CI: 1.93-2.74)] and IADL [OR: 2.26 (95%CI: 1.98-2.57)]. The odds of functional limitation were higher among individuals with lower levels of education and income, but there was no interaction between multimorbidity and socioeconomic position measures. Multimorbidity was associated with functional limitation (BADL and IADL) and socioeconomic conditions, and this association was constant across socioeconomic position levels.

Sociodemographic characteristics of community eye screening participants: protocol for cross-sectional equity analyses in Botswana, India, Kenya, and Nepal

Background

Attendance rates for eye clinics are low across low- and middle-income countries (LMICs) and exhibit marked sociodemographic inequalities. We aimed to quantify the association between a range of sociodemographic domains and attendance rates from vision screening in programmes launching in Botswana, India, Kenya and Nepal.

Methods

We performed a literature review of international guidance on sociodemographic data collection. Once we had identified 13 core candidate domains (age, gender, place of residence, language, ethnicity/tribe/caste, religion, marital status, parent/guardian status, place of birth, education, occupation, income, wealth) we held workshops with researchers, academics, programme implementers, and programme designers in each country to tailor the domains and response options to the national context, basing our survey development on the USAID Demographic and Health Survey model questionnaire and the RAAB7 eye health survey methodology. The draft surveys were reviewed by health economists and piloted with laypeople before being finalised, translated, and back-translated for use in Botswana, Kenya, India, and Nepal. These surveys will be used to assess the distribution of eye disease among different sociodemographic groups, and to track attendance rates between groups in four major eye screening programmes. We gather data from 3,850 people in each country and use logistic regression to identify the groups that experience the worst access to community-based eye care services in each setting. We will use a secure, password protected android-based app to gather sociodemographic information. These data will be stored using state-of-the art security measures, complying with each country's data management legislation and UK law.

Discussion

This low-risk, embedded, pragmatic, observational data collection will enable eye screening programme managers to accurately identify which sociodemographic groups are facing the highest systematic barriers to accessing care at any point in time. This information will be used to inform the development of service improvements to improve equity.

Occupation as a measure of life course socioeconomic position and the risk of oral cancers in India

OBJECTIVES

Evidence suggests that different indicators of socioeconomic position (SEP) contribute to oral cancer risk. Occupational status, as a measure of SEP, may be able to capture aspects of social hierarchy in societies in which employment is highly correlated with other social structures such as caste systems. Often in such societies, the life course of an individual is also influenced by this hierarchy. However, the influence of life course occupational status on the risk of oral cancer is not well understood. This study aims to identify the life course model that is best supported by the data using life course SEP-as represented by occupation-on oral cancer risk in a population in the South of India.

METHODS

Data from the HeNCe Life study, Indian site were used. Incident oral cancer cases (N = 350) were recruited from two major referral hospitals in Kozhikode, Kerala, South India, from 2008 to 2012. Controls (N = 371), frequency-matched by age (5 years) and sex were recruited from the outpatient clinics at the same hospitals as the cases. Life grid-based structured interviews collected information on an array of exposures throughout the life course of the participant. Occupation was coded with the 1988 International Standard Classification of Occupations, transformed to the simplified European Socioeconomic Classification, and further dichotomized into advantageous and disadvantageous SEP at three different life periods (childhood, early adulthood and late adulthood). The analysis was conducted using the Bayesian relevant life course exposure model with a Dirichlet noninformative prior and a weakly informative Cauchy prior to the overall lifetime effect and confounders.

RESULTS

Participants in disadvantaged SEP throughout their life had 3.6 times higher risk of oral cancer than those in advantaged SEP (OR = 3.6; 95% CrI = 1.6-7.2), after adjusting for potential confounders. While the crude and sex- and age-adjusted models showed a clear childhood sensitive period for this risk, the model further adjusted for behavioural factors could not distinguish the specific life course period best explained by data.

CONCLUSION

Occupation status alone could provide a similar overarching risk estimate for oral cancer to those obtained from more complex measures of SEP.