Socioeconomic Position Groups Research Articles

Differential effect of social mobility on tooth loss by race in adulthood: 1982 Pelotas Birth Cohort Study.

To examine the association between social mobility and tooth loss in adults from the 1982 Pelotas Birth Cohort Study and whether race modifies this association. The Oral Health Study used data from 541 individuals who were followed up to 31 years of age. Social mobility, composed of the participants' socioeconomic position (SEP) at birth and at age 30, was categorized as never poor, upwardly mobile, downwardly mobile and always poor. The outcome was the prevalence of at least one tooth lost due to dental caries when the participants were examined at 31 years of age. The effect modifier was race (Black/Brown versus white people). Log-binomial regression models were used to estimate crude and sex-adjusted prevalence ratios (PR) and to determine whether the association varied with race. Statistical interactions were tested using an additive scale. The prevalence of any tooth loss was 50.8% (n = 274). In social mobility groups, the prevalence of at least one tooth lost in the never-poor group was about 31% points higher for Black/Brown (68.2%) than for white people (37.4%). Antagonistic findings were found for the interaction between race and social mobility (Sinergy Index = 0.48; 95% CI 0.24, 0.99; and relative excess of risk due to the interaction = -1.38; 95% CI -2.34, -0.42), suggesting that the observed joint effect of race and social mobility on tooth loss was lower than the expected sum of these factors. The estimates for Black/Brown people were smaller for those who were always poor during their lives, relative to their white counterparts. The findings suggest a higher prevalence of at least one tooth lost among people in the downward mobile SEP group and Black/Brown people. Greater racial inequity was found among Black/Brown people who had never experienced episodes of poverty, with Black/Brown people having a greater prevalence of at least one tooth lost than their white counterparts.

‘That is because we are alone’: A relational qualitative study of socio-spatial inequities in maternal and newborn health programme coverage in rural Uttar Pradesh, India

ABSTRACT This qualitative study was conducted in Uttar Pradesh state, India to explore how interrelated socio-economic position and spatial characteristics of four diverse villages may have influenced equity in coverage of community-based maternal and newborn health (MNH) services. We conducted social mapping and three focus group discussions in each village, among women of lower and higher socio-economic position who recently gave birth, and with community health workers (n = 134). Data were analysed in NVivo 11.0 using thematic framework analysis. The extent of socio-economic hierarchies and spatial disparateness within the village, combined with distance to larger centers, together shaped villages’ level of socio-spatial remoteness. Disadvantaged socio-economic groups expressed being more often spatially isolated, with less access to infrastructure, resources or services, which was heightened if the village was physically distant from larger centers. In more socio-spatially remote villages, inequities in coverage of MNH services that disadvantaged lower socio-economic position groups were compounded as these groups more often experienced ASHA vacancies, as well as greater distance to and poorer perceived quality of health services nearest the village. The results inform a conceptual framework of ‘socio-spatial remoteness’ that can guide public health research and programmes to more comprehensively address health inequities within India and beyond.

Socioeconomic Position, Pre-Obesity and Obesity in Latin American Cities: A Systematic Review.

Currently the socioeconomic gradient of obesity it is not well understood in the urban population in Latin American. This study reviewed the literature assessing associations between pre-obesity, obesity, and socioeconomic position (SEP) in adults living in urban areas in Latin American countries. PubMed and SciELO databases were used. Data extraction was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We extracted data on the association between SEP (e.g., education, income), pre-obesity (body mass index [BMI] ≥ 25 and < 30 kg/m2) and obesity (BMI ≥ 30 kg/m2). Relative differences between low and high SEP groups were assessed and defined a priori as significant at p < 0.05. Thirty-one studies met our inclusion criteria and most were conducted in Brazil and Mexico (22 and 3 studies, respectively). One study presented nonsignificant associations. Forty-seven percent of associations between education or income and pre-obesity were negative. Regarding obesity, 80 percent were negative and 20 percent positive. Most negative associations were found in women while in men they varied depending on the indicator used. Pre-obesity and obesity by SEP did not follow the same pattern, revealing a reversal of the obesity social gradient by SEP, especially for women in Latin America, highlighting the need for articulated policies that target structural and agentic interventions.

Can Social Mobility Impact Frailty Trajectories of Chinese Adults in Later Life? A Nationwide Longitudinal Study.

Evidence remains unclear on the impact of life-course socioeconomic position (SEP) mobility on frailty trajectories in later life. We aim to examine the longitudinal effects of social mobility on frailty trajectories among Chinese middle-aged and older populations. A total of 13239 participants aged 45 and older from the 2011-2018 China Health and Retirement Longitudinal Study were analyzed. Based on changes in SEP from childhood to adulthood, 5 patterns of social mobility were established. A 32-item deficit cumulative frailty index (FI) was developed to evaluate frailty trajectories at each follow-up. Linear mixed-effects models were used to examine the longitudinal association of the 5 social mobility patterns with the frailty trajectory. The trajectory of late-life FI increased across all 5 social mobility groups during the follow-up. The FI trajectory had the largest disparity between stable high SEP and stable low SEP, with a faster increase in FI of 0.489 (95% confidence interval [CI]: 0.327-0.650, p < .001) in the stable low versus stable high SEP group. The FI trajectories of individuals in the upward and downward mobility groups fall between those in the stable high SEP and low SEP groups. Specifically, compared to the stable high SEP group, the increase in FI was 0.229 (95% CI: 0.098-0.360, p = .001) faster in the downward mobility group, and 0.145 (95% CI: 0.017-0.273, p = .03) faster in the upward mobility group. The impact of social mobility on frailty trajectories was more pronounced among middle-aged adults and women. These findings emphasize that policies to identify vulnerable populations and reduce frailty inequalities should focus on the socioeconomic environment across the life course, with particular attention paid to those with consistently low SEP and downward mobility.

Socio-economic differences in body mass index: the contribution of genetic factors

BackgroundHigher mean body mass index (BMI) among lower socioeconomic position (SEP) groups is well established in Western societies, but the influence of genetic factors on these differences is not well characterized.MethodsWe analyzed these associations using Finnish health surveys conducted between 1992 and 2017 (N = 33 523; 53% women) with information on measured weight and height, polygenic risk scores of BMI (PGS-BMI) and linked data from administrative registers to measure educational attainment, occupation-based social class and personal income.ResultsIn linear regressions, largest adjusted BMI differences were found between basic and tertiary educated men (1.4 kg/m2, 95% confidence interval [CI] 1.2; 1.6) and women (2.5 kg/m2, 95% CI 2.3; 2.8), and inverse BMI gradients were also found for social class and income. These SEP differences arose partly because mean PGS-BMI was higher and partly because PGS-BMI predicted BMI more strongly in lower SEP groups. The inverse SEP gradients of BMI were steeper in women than in men, but sex differences were not found in the genetic contributions to these differences.ConclusionsBetter understanding of the interplay between genes and environment provides insight into the mechanisms explaining SEP differences in BMI.

Socioeconomic Disparities in Neurodegenerative Disease Mortality: A Population-Based Study among Belgian Men and Women Aged 65 or Older.

This study investigates the association between socioeconomic position (SEP) - in terms of income and education - and mortality from neurodegenerative diseases, that is, dementia, parkinsonism, and motor neuron diseases (MNDs). We calculated age-standardized mortality rates and mortality rate ratios using log linear Poisson regression for different SEP groups, stratified by gender, age-group, and care home residency, utilizing the 2011 Belgian census linked to register data on cause-specific mortality for 2011 to 2016. Mortality was significantly higher in the lowest educational- and income groups. The largest disparities were found in dementia mortality. Income had a strong negative effect on parkinsonism mortality, education a positive effect. We found no significant association between SEP and MND. Our study provides evidence supporting the presence of socioeconomic disparities in mortality due to neurodegeneration. We found a strong negative association between SEP and NDD mortality, which varies between NDD, gender and care home residency.

Inequalities in adiposity trends between 1979 and 1999 in Guatemalan children.

Guatemala suffered from civil war and high levels of inequality and childhood stunting in the second half of the 20th century, but little is known about inequalities in secular trends in adiposity. To investigate differences in childhood body mass index (BMI) and skinfold thickness trajectories from 1979 to 1999 between three groups of children: High socioeconomic position (SEP) Ladino, Low SEP Ladino, and Low SEP Indigenous Maya. The sample comprised 19 346 children aged 7-17 years with 54 638 observations. The outcomes were height, BMI, triceps skinfold thickness (TST), and subscapular skinfold thickness (SST) Z-scores according to the Centers for Disease Control and Prevention (CDC) references. Sex-specific multilevel models were used to estimate and compare mean trajectories from 1979 to 1999 between the three groups. Mean Z-scores were always highest for High SEP Ladino children and lowest for Low SEP Maya children. Despite their very short stature, the Low SEP groups had SST trajectories that were above the 50th centile. The BMI trajectories were relatively flat and within one major centile band of the CDC median, with differences between the three groups that were small (0.2-0.3 Z-scores) and did not attenuate over time. Conversely, the TST Z-score trajectories demonstrated larger positive secular trends (e.g., from -1.25 in 1979 to -0.06 in 1999 for Low SEP Maya boys), with differences between the three groups that were large (0.5-1.2 Z-scores) and did attenuate over time (in boys). Secular trends and between-group difference in the SST Z-score trajectories were less pronounced, but again we found stronger evidence in boys that the estimated inequalities attenuated over time. Secular trends and inequalities in skinfolds differ from those for BMI in Guatemalan children. Differences between groups in skinfolds attenuated over time, at least in boys, but whether this is good news is questionable given the very short stature yet relatively large subscapular skinfolds of the Low SEP groups.

Determinants and inequality of recurrent aphthous stomatitis in an Indonesian population: a cross sectional study

IntroductionRecurrent Aphthous Stomatitis (RAS) is the most common type of ulceration in the oral cavity which can occur due to several factors.AimsTo determine the factors related to the incidence of RAS and examine the social class inequality in RAS among the Indonesian population using data from the fifth wave of the Indonesian Family Life Survey (IFLS5) in 2014.MethodsThis study is a descriptive study with a cross-sectional design using secondary data from IFLS5 data in 2014 (n = 28,410). Socio-economic position (SEP) was calculated by Adult Equivalent Scale and categorized into 4 classes. Outcome is RAS. Mediating factors were psychosocial (stress), eating behavioral (food consumption), and systemic diseases. Descriptive analysis, chi-square and a series of logistic regressions were performed to analyze the data. Odds ratio (OR) and 95% confidence interval (CI) were used to report the results.ResultsOnly 18.39% of IFLS5 respondents experienced the incidence of recurrent aphthous stomatitis in 2014. The bivariate (chi-square) results showed that there was a relationship between the incidence of RAS and the related independent variables. Logistic regression showed the highest possibility of RAS in respondents aged 18–34 years, female, unmarried, high school education level, living in the city, having frequent stress levels, having food habits that frequently drinking soda, sweet foods, chili sauce, fried food and has systemic diseases such as, asthma, cancer, rheumatism, and digestion. The lowest SEP group had the highest probability of occurrence of RAS over the other groups among the different models.ConclusionsThere are several factors that determine the incidence of RAS. There was a monotonic gradient of inequality in RAS according to SEP group. This study might be useful to provide information regarding the relationship of determinants factors with the incidence of RAS to prevent it and promote oral health in the future.

Longitudinal associations between socioeconomic position and overall health of children with chronic kidney disease and their carers.

Disadvantaged socioeconomic position (SEP) is an important predictor of poor health in children with chronic kidney disease (CKD). The time course over which SEP influences the health of children with CKD and their carers is unknown. This prospective longitudinal study included 377 children, aged 6-18years with CKD (stages I-V, dialysis, and transplant), and their primary carers. Mixed effects ordinal regression was performed to assess the association between SEP and carer-rated child health and carer self-rated health over a 4-year follow-up. Adjusted for CKD stage, higher family household income (adjusted odds ratio (OR) (95% CI) 3.3, 1.8-6.0), employed status of primary carers (1.7, 0.9-3.0), higher carer-perceived financial status (2.6, 1.4-4.8), and carer home ownership (2.2, 1.2-4.0) were associated with better carer-rated child health. Household income also had a differential effect on the carer's self-rated health over time (p = 0.005). The predicted probabilities for carers' overall health being 'very good' among lower income groups at 0, 2, and 4years were 0.43 (0.28-0.60), 0.34 (0.20-0.51), and 0.25 (0.12-0.44), respectively, and 0.81 (0.69-0.88), 0.84 (0.74-0.91), and 0.88 (0.76-0.94) for carers within the higher income group. Carers and their children with CKD in higher SEP report better overall child and carer health compared with those in lower SEP. Carers of children with CKD in low-income households had poorer self-rated health compared with carers in higher-income households at baseline, and this worsened over time. These cumulative effects may contribute to health inequities between higher and lower SEP groups over time. Graphical abstract A higher resolution version of the Graphical abstract is available as Supplementary information.

The Role of Socioeconomic Position in the Association Between Mental Disorders and Mortality

Studies are lacking summarizing how the association between mental disorders and mortality varies by socioeconomic position (SEP), particularly considering different aspects of SEP, specific types of mental disorders, and causes of death. To investigate the role of SEP in the association between mental disorders and mortality and the association between SEP and mortality among people with mental disorders. MEDLINE, Embase, PsycINFO, and Web of Science were searched from January 1, 1980, through April 3, 2023, and a snowball search of reference and citation lists was conducted. Inclusion criteria were observational studies estimating the associations between different types of mental disorders and mortality, stratified by SEP and between SEP and mortality in people with mental disorders. Pairs of reviewers independently extracted data using a predefined data extraction form and assessed the risk of bias using the adapted Newcastle-Ottawa scale. Graphical analyses of the dose-response associations and random-effects meta-analyses were performed. Heterogeneity was explored through meta-regressions and sensitivity analyses. All-cause and cause-specific mortality. Of 28 274 articles screened, 71 including more than 4 million people with mental disorders met the inclusion criteria (most of which were conducted in high-income countries). The relative associations between mental disorders and mortality were similar across SEP levels. Among people with mental disorders, belonging to the highest rather than the lowest SEP group was associated with lower all-cause mortality (pooled relative risk [RR], 0.79; 95% CI, 0.73-0.86) and mortality from natural causes (RR, 0.73; 95% CI, 0.62-0.85) and higher mortality from external causes (RR, 1.18; 95% CI, 0.99-1.41). Heterogeneity was high (I2 = 83% to 99%). Results from subgroup, sensitivity, and meta-regression analyses were consistent with those from the main analyses. Evidence on absolute scales, specific diagnoses, and specific causes of death was scarce. This study did not find a sufficient body of evidence that SEP moderated the relative association between mental disorders and mortality, but the underlying mortality rates may differ by SEP group, despite having scarcely been reported. This information gap, together with our findings related to SEP and a possible differential risk between natural and external causes of death in individuals with specific types of mental disorders, warrants further research.

Trends in the ability of socioeconomic position to predict individual body mass index: an analysis of repeated cross-sectional data, 1991-2019.

The widening of group-level socioeconomic differences in body mass index (BMI) has received considerable research attention. However, the predictive power of socioeconomic position (SEP) indicators at the individual level remains uncertain, as does the potential temporal variation in their predictive value. Examining this is important given the increasing incorporation of SEP indicators into predictive algorithms and calls to reduce social inequality to tackle the obesity epidemic. We thus investigated SEP differences in BMI over three decades of the obesity epidemic in England, comparing population-wide (SEP group differences in mean BMI) and individual-level (out-of-sample prediction of individuals' BMI) approaches to understanding social inequalities. We used repeated cross-sectional data from the Health Survey for England, 1991-2019. BMI (kg/m2) was measured objectively, and SEP was measured via educational attainment, occupational class, and neighbourhood index of deprivation. We ran random forest models for each survey year and measure of SEP adjusting for age and sex. The mean and variance of BMI increased within each SEP group over the study period. Mean differences in BMI by SEP group also increased: differences between lowest and highest education groups were 1.0kg/m2 (0.4, 1.6) in 1991 and 1.3kg/m2 (0.7, 1.8) in 2019. At the individual level, the predictive capacity of SEP was low, though increased in later years: including education in models improved predictive accuracy (mean absolute error) by 0.14% (- 0.9, 1.08) in 1991 and 1.05% (0.18, 1.82) in 2019. Similar patterns were obtained for occupational class and neighbourhood deprivation and when analysing obesity as an outcome. SEP has become increasingly important at the population (group difference) and individual (prediction) levels. However, predictive ability remains low, suggesting limited utility of including SEP in prediction algorithms. Assuming links are causal, abolishing SEP differences in BMI could have a large effect on population health but would neither reverse the obesity epidemic nor reduce much of the variation in BMI.

Socioeconomic position and the pre-diagnostic interval among patients diagnosed with head and neck squamous cell carcinoma - a population-based study from DAHANCA

Background The socioeconomic differences in survival are pronounced for patients diagnosed with head and neck cancer; disease stage at diagnosis is suggested to be a main driver of this association. This nationwide, population-based study investigates socioeconomic differences in the pre-diagnostic interval and disease stage at diagnosis. Material and Methods Information on patient-reported symptoms, symptom onset and disease-specific factors was obtained from the nationwide population-based Danish Head and Neck Cancer Group (DAHANCA) database for patients diagnosed with head and neck squamous cell carcinoma between 2008 and 2019 in Denmark. Socioeconomic position (SEP) was measured by individual-level education, income and cohabitation status obtained from administrative registers. Socioeconomic differences in the interval from symptom onset to diagnosis were investigated in general linear models with 95% confidence intervals (CIs); overall and by subsite, symptom and comorbidity score. Consultation patterns prior to diagnosis were examined using methods for change-point detection. Associations with advanced-stage disease were estimated in logistic regression models. Results Patients with low, medium and high SEP had a similar interval from patient-reported symptom onset to diagnosis of 10 weeks. Although this interval varied according to primary symptom and anatomical subsite, no apparent socioeconomic differences were observed within these subgroups. Aligned with the patient-reported symptom onset, a distinct increase in consultation rates was observed at 9 weeks (95% CI [7.3; 10.7]) for patients with low SEP and 7 weeks (95% CI [4.8; 9.2]) for patients with high SEP, with overlapping CIs. Patients with low compared to high SEP had increased odds for advanced-stage glottic and oral cavity squamous cell carcinoma. For the remaining subsites the association varied according to SEP-indicator and TNM-edition. Conclusion The interval from symptom onset to diagnosis and consultation patterns were similar across SEP groups. Still, socioeconomic differences in stage at diagnosis were observed for some – but not all – subsites.

Upstream Determinants of Overweight and Obesity in Europe.

To review the upstream determinants of overweight and obesity in Europe, including food and built environments, and political, commercial, and socioeconomic determinants. Overweight and obesity affect 60% of European adults, and one in three children, and are more common in individuals with low compared to high socioeconomic position (SEP). Individuals in low SEP groups are more exposed to unhealthy built and food environments, including higher exposure to unhealthy food marketing. Industries influencing the food system have much economic power, resulting in ignoring or silencing the role of ultra-processed foods and commercial practices in weight gain. Overall, effective policies to address overweight and obesity have been insufficiently implemented by governments. To accelerate implementation, strengthened political commitment is essential. Policies must also focus on the upstream, structural, and systemic drivers of overweight and obesity; be comprehensive; and target socioeconomic inequalities in diets and physical activity.

Social inequalities, stressful work and non-fatal cardiovascular disease: follow-up findings from the CONSTANCES Study

BackgroundStudies show that a disadvantaged socioeconomic position (SEP) and psychosocial stress at work are both independently associated with an increased risk of cardiovascular disease (CVD). But it is not clear...

The contribution of health behaviour to socioeconomic inequalities in alcohol harm: Analysis of the UK biobank, a large cohort study with linked health outcomes

This is the first study to use the UK Biobank database to: 1) test whether participants of a low socioeconomic position (SEP) are less likely to drink, but more likely to suffer alcohol-related harm, and 2) test the contribution of behavioural factors. The database contains health-related information from 500,000 UK residents that were recruited aged 40–69 between 2006 and 2010. Our analysis focuses on participants resident in England (86% of the total sample). We obtained baseline demographics, survey data regarding alcohol consumption and other behaviours, and linked death and hospital-admission records. The primary outcome was time from study entry to experiencing an alcohol-attributable event (hospital admission or death). The relationship between alcohol-attributable harm and five measures of SEP (area-level deprivation, housing tenure, employment status, household income and qualifications) was investigated using time-to-event analysis. Average weekly alcohol consumption, other drinking behaviours (drinking history and beverage preference), and lifestyle factors (BMI and smoking status) were added incrementally as covariates in nested regression models to investigate whether they could explain the relationship between harm and SEP. 432,722 participants (197,449 men and 235,273 women) were included in the analysis with 3,496,431 person-years of follow-up. Those of a low SEP were most likely to be never/former drinkers or high-risk drinkers. However, alcohol consumption could not explain experiences of alcohol-attributable harm between SEP groups (Hazard Ratio (HR) 1.48; 95% Confidence Interval 1.45–1.51, after adjusting for alcohol consumption). Drinking history, drinking mostly spirits, an unhealthy Body Mass Index and smoking all increased the risk of alcohol-attributable harm. However, these factors only partially explain SEP differences in alcohol harm as the HR for the most deprived vs the least deprived was still 1.28 after adjustment. This suggests that improving wider health behaviour of the most deprived could reduce alcohol-related inequalities. However, a substantial proportion of the variance in alcohol harm remains unexplained.

Long-term Risk of Epilepsy Following Invasive Group B Streptococcus Disease in Neonates in Denmark

The risk of epilepsy after neonatal invasive Group B Streptococcus (iGBS) disease, particularly iGBS sepsis, is poorly understood. To examine the association between neonatal iGBS (sepsis or meningitis) and long-term risk of epilepsy, stratified by sex, prematurity, and maternal socioeconomic position (SEP). This population-based cohort study was conducted in Denmark with an inclusion period from 1997 through 2017 and follow-up until the end of 2018. A general population comparison cohort was randomly sampled and matched up to 10:1 to the exposed cohort. Linkage between Danish national registers were applied for data collection. Participants were infants aged 0 to 89 days. The general population comparison cohort was matched by sex, the child's year and month of birth, and gestational age. SEP was defined by maternal income and education. Hospital-diagnosed iGBS (sepsis or meningitis) during the first 89 days after birth. Epilepsy was defined by International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes and/or prescription codes for antiepileptic drugs using Danish medical registry data. Cumulative risk (CR) of epilepsy was calculated by treating death as a competing event. Cox proportional hazards regression was used to estimate hazard ratios with 95% CIs. Effect modification by sex, prematurity, and maternal SEP was assessed on an additive scale. A total of 1432 children (792 [55.3%] boys; 1126 [78.6%] with gestational age ≥37 weeks) were identified with iGBS disease: 1264 with sepsis and 168 with meningitis. In the comparison cohort, there were 14 211 children (7869 [55.4%] boys; 11 260 [79.2%] with gestational age ≥37 weeks). The overall (0 to 22 years) CR of epilepsy was 3.6% (95% CI, 2.6%-5.0%) in children with iGBS disease and 2.3% (95% CI, 1.9%-2.7%) in the comparison cohort. The overall CR of epilepsy for iGBS meningitis was 15.1% (95% CI, 8.9%-22.8%) and 2.2% (95% CI, 1.4%-3.4%) for iGBS sepsis. The adjusted hazard ratio for epilepsy in children with iGBS disease was 2.04 (95% CI, 1.46-2.85). Being a boy, born premature, or born to a mother belonging to a low SEP group was associated with an increased risk of epilepsy in later childhood. In this population-based cohort study of 1432 neonates, iGBS disease was associated with a higher incidence of epilepsy in later childhood, notably after meningitis. Premature birth, sex, and low maternal SEP modified the association.

Modification of TSH-related genetic effects by indicators of socioeconomic position.

Thyroid-stimulating hormone (TSH) is influenced by genetic and environmental factors such as socioeconomic position (SEP). However, interactions between TSH-related genetic factors and indicators of SEP have not been investigated to date. The aim of the study was to determine whether education and income as SEP indicators may interact with TSH-related genetic effect allele sum scores (GESTSH_2013 and GESTSH_2020) based on two different GWAS meta-analyses that affect TSH values in a population-based study. In 4085 participants of the Heinz Nixdorf Recall Study associations between SEP indicators, GESTSH and TSH were quantified using sex- and age-adjusted linear regression models. Interactions between SEP indicators and GESTSH were assessed by GESTSH × SEP interaction terms, single reference joint effects and calculating genetic effects stratified by SEP group. Participants within the highest education group showed the strongest genetic effect with on average 1.109-fold (95% CI: 1.067-1.155) higher TSH values per GESTSH_2013 SD, while in the lowest education group, the genetic effect was less strong (1.061-fold (95% CI: 1.022-1.103)). In linear regression models including interaction terms, some weak indication for a positive GESTSH_2013 by education interaction was observed showing an interaction effect size estimate of 1.005 (95% CI: 1.000-1.010) per year of education and GESTSH_2013 SD. No indication for interaction was observed for using income as SEP indicator. Using the GESTSH_2020, similar results were observed. Our results gave some indication that education may affect the expression of TSH-related genetic effects. Stronger genetic effects in high-education groups may be explained by environmental factors that have an impact on gene expression and are more prevalent in high SEP groups.

Digital health interventions to improve eating behaviour of people with a lower socioeconomic position: a scoping review of behaviour change techniques.

Specific approaches are needed to reach and support people with a lower socioeconomic position (SEP) to achieve healthier eating behaviours.There is a growing body of evidence suggesting that digital health tools exhibit potential to address these needs because of its specific features that enable application of various behaviour change techniques (BCTs). The aim of this scoping review is to identify the BCTs that are used in diet-related digital interventions targeted at people with a low SEP, and which of these BCTs coincide with improved eating behaviour. The systematic search was performed in 3 databases, using terms related to e/m-health, diet quality and socioeconomic position. A total of 17 full text papers were included. The average number of BCTs per intervention was 6.9 (ranged 3-15). BCTs from the cluster 'Goals and planning' were applied most often (25x), followed by the clusters 'Shaping knowledge' (18x) and 'Natural consequences' (18x). Other frequently applied BCT clusters were 'Feedback and monitoring' (15x) and 'Comparison of behaviour' (13x). Whereas some BCTs were frequently applied, such as goal setting, others were rarely used, such as social support. Most studies (n = 13) observed a positive effect of the intervention on eating behaviour (e.g. having breakfast) in the low SEP group, but this was not clearly associated with the number or type of applied BCTs. In conclusion, more intervention studies focused on people with a low SEP are needed to draw firm conclusions as to which BCTs are effective in improving their diet quality. Also, further research should investigate combinations of BCTs, the intervention design and context, and the use of multicomponent approaches. We encourage intervention developers and researchers to describe interventions more thoroughly, following the systematics of a behaviour change taxonomy, and to select BCTs knowingly.

Social inequality and change in psychological distress during the Covid-19 pandemic in Norway

Abstract Background Emerging research findings suggest that the Covid-19 pandemic may have affected various social groups differently. Using follow-up health data from Norway, the aim of this study was to investigate whether change in psychological distress in adolescents during the Covid-19 pandemic differed across socioeconomic position (SEP). Methods Data consisted of 1254 Norwegian adolescents who participated in Young-HUNT4 (2017-19) and Young-HUNT COVID (spring 2021). Psychological distress (PD) was assessed by the Symptom Checklist-10, using a cut-off point of ≥ 1.85 to identify adolescents with high PD. Based on the adolescents PD score prior to and during the Covid-19 pandemic, four groups were identified: persistent low PD, improved PD, worsened PD, and persistent high PD. Adolescents reported their parents’ education level which was used as an indicator for SEP. SEP was dichotomized separating low and high SEP, where having at least one parent with a higher education was defined as high SEP. Multinomial logistic regression models were used to investigate if the likelihood of the outcome groups varied across SEP, adjusted for age and sex. Results Compared to the persistent low PD group, no statistically significant difference was found between low and high SEP in the improved PD and worsened PD group (RR 1.33 95% CI 0.77 - 2.31, RR 1.22 95% CI 0.82 - 1.81, respectively). However, adolescents of low SEP had a higher likelihood to be in the persistent high PD group compared with the high SEP group (RR 1.93 95% CI 1.30 - 2.87). Conclusions These preliminary findings suggest that the pandemic may not have led to greater social inequality in mental health among Norwegian adolescents. However, the results showed that social inequality that existed prior to the pandemic has persisted, as adolescents of lower SEP had a higher likelihood of reporting high PD that persisted from prior to and throughout the Covid-19 pandemic. Key messages • Social inequality in psychological distress among Norwegian adolescents has persisted prior to and during the Covid-19 pandemic. • The Covid-19 pandemic does not seem to have increased existing social inequalities in psychological distress among Norwegian adolescents.

Ethnic and socioeconomic inequalities in relation to air pollution exposure in the Netherlands

Abstract Background Air pollution (AP) contributes to a large disease burden and some populations are disproportionately exposed. It is unclear to what extent AP exposure differs across ethnic groups in the Netherlands and how this intersects with socioeconomic position (SEP). First, we identified differences in AP exposures between ethnic groups in the Netherlands. Second, we examined the interrelationships between ethnicity and SEP in relation to AP exposures. Methods We assessed AP exposures for residents of the Netherlands in 2019 (N = 17,251,511). Home address AP levels were estimated by dispersion models of the National Institute of Public Health and the Environment (RIVM). We linked exposure estimations of particulate matter &amp;lt;10 or &amp;lt; 2.5 μm (PM10, PM2.5), nitrogen dioxide (NO2), and elemental carbon (EC) to demographic data gathered by Statistics Netherlands. Absolute and relative differences in AP levels across ethnic groups were assessed. We conducted multivariable linear regression analyses and estimated marginal mean exposures to evaluate differences by ethnicity, SEP, age and sex within urban and rural areas. We tested for interactions and stratified accordingly. Results For the 40 largest minority ethnic groups (N &amp;gt; 18,314 per group), exposure to all pollutants was higher than for ethnic Dutch, with up to 1.5-fold differences for NO2. After stratification for urbanity and SEP, ethnic exposure inequalities persisted. For ethnic Dutch and some migrant groups, we found the lowest AP exposures in the middle SEP group (i.e. U-shaped trends), while we found linear patterns in other large migrant groups, with higher exposures at lower SEP. Conclusions Exposure to PM10, PM2.5, NO2, and EC was consistently higher in minority ethnic groups compared to ethnic Dutch. The association between SEP and AP levels showed different patterns between the majority ethnic Dutch and some of the largest minority ethnic groups. Further research is needed to define the equity and health implications. Key messages • Minority ethnic groups in the Netherlands are consistently exposed to higher levels of air pollution (PM10, PM2.5, NO2, and EC) than the ethnic Dutch population. • Depending on the ethnic group, the association between SEP and air pollution exposure was either linear (i.e. lower exposures at higher SEP) or U-shaped (i.e. lower exposures in the middle SEP group).