Markers Of Socioeconomic Position Research Articles

Trends in social inequality and how mental wellbeing vary and covary among Norwegian adolescents and their families: the Young-HUNT Study.

The study had two aims: first, to investigate trends in socioeconomic inequalities in psychological distress and loneliness among Norwegian adolescents, and second, to study variation and covariation of psychological distress and loneliness within adolescents and between siblings within families. Multivariate mixed models were used to investigate trends in socioeconomic inequality in psychological distress and loneliness using three separate cohorts of Norwegian adolescents from the Young-HUNT study conducted in 1995-1997 (Young-HUNT1, n = 8980), 2006-2008 (Young-HUNT3, n = 8199) and 2017-2019 (Young-HUNT4, n = 8066). Register data on parental education level was used as a marker of socioeconomic position (SEP), and a unique family number was used to identify adolescents belonging to the same family. A three-level multivariate mixed model was created, consisting of the outcomes at level 1, adolescents at level 2 and families at level 3. No statistically significant difference in scores on loneliness and psychological distress was observed between low and high parental education level in Young-HUNT1, whereas in Young-HUNT4, low parental education level was associated with a higher score on both psychological distress (β = 0.09; 95% confidence interval (CI), 0.03-0.14) and loneliness (β = 0.12; 95% CI 0.07-0.17). Analyses of covariation between psychological distress and loneliness showed that they were correlated within adolescents and strongly correlated within families across all timepoints. Increasing socioeconomic inequalities in psychological distress and loneliness among Norwegian adolescents is worrisome. Further, the family seems to be an important arena for potential prevention of psychological distress and loneliness among adolescents, regardless of parental education level.

Associations between measures of socio-economic position and sustainable dietary patterns in the NutriNet-Santé study.

We aimed to explore the relationship between socio-economic characteristics and sustainable dietary patterns. Dietary data were derived from a web-based FFQ. Diet sustainability was evaluated using a modified Sustainable Diet Index, comprising nutritional, environmental and cultural components (higher scores expressing higher sustainability). The socio-economic position markers were education, household income and occupation status. Multi-adjusted linear and Poisson regression models were used to assess the cross-sectional association of the markers of socio-economic status with a sustainable diet and sustainability subcomponents, respectively. France. 29 119 NutriNet-Santé participants. Individuals with a more sustainable diet had slightly higher diet monetary cost, lower total energy intake and consumed less animal-based foods than their counterparts. Lower education level was associated with lower overall diet sustainability (βprimary v. postgraduate = -0·62, 95 % CI (-0·72, -0·51)) and nutrition, socio-cultural and environmental subscores. Manual workers and employees had a lower modified Sustainable Diet Index than intermediate professionals (βmanual workers v. intermediate professionals = -0·43, 95 % CI (-0·52, -0·33) and βemployees v. intermediate professionals = -0·56, 95 % CI (-0·64, -0·48)). Participants with the lowest v. highest incomes had a higher environmental subscore but a lower socio-cultural subscore, whereas the results were less marked for occupational status. Overall, our results documented associations between socio-economic status and the level of diet sustainability, arguing for the implementation of appropriate food policies to promote sustainable diets at lower cost.

Socioeconomic Disadvantage is Associated with Probable Sarcopenia in Community-Dwelling Older Adults: Findings from the English Longitudinal Study of Ageing

BackgroundSarcopenia is characterized by the accelerated loss of muscle strength, mass, and function in aging. The disease is a major public health issue with emerging evidence of a disproportionate burden in areas of socioeconomic disadvantage.ObjectivesTo estimate the prevalence of probable sarcopenia overall, and according to Socioeconomic Position (SEP). To explore the association between markers of SEP and probable sarcopenia.DesignCross-sectional analysis of the English Longitudinal Study of Ageing data.SettingEngland, United Kingdom (UK).ParticipantsThis study comprised 6,052 older adult participants from Wave 6 of the English Longitudinal Study of Ageing (ELSA) aged 60 years and older.MeasurementsProbable sarcopenia was identified by the EWGSOP2 guidelines as low hand grip strength (females <16kg and males <27kg) or poor chair rise test performance (completion of 5 chair rises >15 seconds). Socioeconomic position was defined by educational attainment and subjective social status (SSS). Weighted multivariable regression analysis was employed to identify determinants of probable sarcopenia.ResultsOver one-third of older adults met the criteria for probable sarcopenia (33.7%; weighted, 36.1%) in the study population of mean age 70.7 (SD 7.7) years. When examined by SEP, the prevalence of probable sarcopenia was over 2-fold higher in adults in the most vs the least disadvantaged SEP groups (47.0% vs 20.6%, respectively, p<0.001). Multivariable regression analysis identified disadvantaged SEP, as measured by educational attainment and SSS, as independent predictors of probable sarcopenia, along with older age, physical inactivity, underweight BMI, chronic conditions, osteoarthritis, and minority group ethnicity.ConclusionsDisadvantaged SEP was associated with an increased likelihood of probable sarcopenia when controlled for other known risk factors. The findings suggest a need and opportunity for sarcopenia prevention and treatment strategies to address socioeconomic disadvantage in policies and practice.

Socioeconomic risk markers of arthropod-borne virus (arbovirus) infections: a systematic literature review and meta-analysis

IntroductionArthropod-borne viruses (arboviruses) are of notable public health importance worldwide, owing to their potential to cause explosive outbreaks and induce debilitating and potentially life-threatening disease manifestations. This systematic review and...

The Role of Socioeconomic Inequalities In Transitioning to Neurocognitive Disorders in English Population

The association between socioeconomic position (SEP) and dementia is well studied. However, scant attention has been given to the relationship with mild cognitive impairment (MCI), often considered a transient state between normal cognition and dementia. The purpose of this study was to determine the role of various SEP markers such as education and wealth on transitioning to MCI and dementia over a four-year period using data from the English Longitudinal Study of Ageing, a national representative sample of the English population aged 50+. We ascertained MCI and dementia over four years, using a validated algorithm based on physician diagnosis and lower cognitive performance (1 standard deviation below the mean) on multiple standardised tests adjusted for age and education. A Multistate Markov survival model was utilised to investigate whether different SEP markers increased the risk of specific transitions between normal cognitive performance and MCI or dementia, with the latter being considered an absorbing state. During the study period, a quarter of participants progressed to MCI from the normal state. Being in the lowest quintile of wealth was associated with a lower probability of transitioning back to a normal cognitive state from MCI, compared with those in the highest quintile. Greater wealth was weakly associated with a lower risk of transitioning from normal cognitive state to MCI and from MCI to dementia. The overall results imply that socioeconomic advantage might be protective against rapid progression from mild to more severe neurocognitive disorders such as dementia in later life.

Trends and socioeconomic factors associated with overweight/obesity among three reproductive age groups of women in Nepal

AbstractIntroductionOverweight/obesity represents a major and increasing burden in Nepal where women in reproductive‐aged groups are highly affected. We aimed to explore the trends and association of overweight by socioeconomic position among the different reproductive‐aged women in Nepal.MethodsWe used datasets from five nationally representative surveys, Nepal Demographic and Health Survey conducted between 1996 and 2016. A sample of 33,503 nonpregnant women aged 15–49 was included. Markers of socioeconomic position were education level, occupation, and household wealth. Descriptive analysis, crude and adjusted prevalence trends, and multiple logistic regression models were carried out.ResultsThe prevalence of overweight/obesity increased fivefold (7.5–35.2%) among women of reproductive age between 1996 and 2016 in Nepal. The prevalence increase of overweight was higher among women aged 25 to &lt; 35 and 35–49. The overweight prevalence increased from 5.2% to 42.3% among women involved in manual work. Women aged 35–49 from the richest households were more likely overweight (adjusted odds ratio 5.68; 95% CI 4.62–6.99). Women with higher education had higher body weight irrespective of reproductive age.ConclusionIn Nepal, women aged 35–49 from the richest households and women with higher education were the highest risk groups for being overweight in Nepal. To improve the situation of overweight in Nepal, strategies prioritizing the vulnerable groups should be incorporated into the National Nutrition Policy and Strategies.

Genetic propensity for obesity, socioeconomic position, and trajectories of body mass index in older adults

Identifying how socioeconomic positioning and genetic factors interact in the development of obesity is imperative for population-level obesity prevention strategies. The current study investigated whether social positioning, either independently or through interaction with a polygenic score for Body Mass Index (BMI-PGS), influences BMI trajectories across older adulthood. Data were analysed from 7,183 individuals from the English Longitudinal Study of Aging (ELSA). Interactions between the BMI-PGS and; lower educational attainment, self-perceived social status (SSS), and income, on BMI trajectories over 12 years across older adulthood were investigated through linear mixed effects models. Lower educational attainment, SSS and income were each associated with a higher baseline BMI for women, but not for men. There were interaction effects between BMI-PGS and social positioning such that men aged > 65 with a lower educational attainment (β = 0.62; 95%CI 0.00 – 1.24, p < 0.05), men aged ≤ 65 of a lower income (β = − 0.72, 95%CI − 1.21 - − 0.23, p < 0.01) and women aged ≤ 65 of lower SSS (β = − 1.41; 95%CI − 2.46 – 0.36, p < 0.01) showed stronger associations between the BMI-PGS and baseline BMI. There were few associations between markers of socioeconomic position and rate of change in BMI over the follow-up period. In sum, lower socioeconomic positioning showed adverse associations with women’s BMI in older adulthood. Moreover, the expression of the BMI-PGS, or extent to which it translates to a higher BMI, was subtly influenced by socioeconomic standing in both women and in men.

Socioeconomic position and mental health during the COVID-19 pandemic: a cross-sectional analysis of the CovidLife study

Background: The coronavirus disease 2019 (COVID-19) pandemic has been linked to an increase in mental health problems. This study examined their association with socioeconomic position (SEP), as well as potential confounding and mediating factors. Methods: We analysed data from the CovidLife study (N=14,387; 66.4% female; mean [SD] age, 57.4 [13.9] years). Data were collected in an online survey of UK adults (aged 18 years or over) between 17 April and 7 June 2020. SEP measures included area deprivation (the Scottish Index of Multiple Deprivation [SIMD]), education level, household income, and employment status. Mental health was measured using the Patient Health Questionnaire-9 (PHQ-9) and the Generalised Anxiety Disorder-7 (GAD-7) scale. Worry indices were derived using principal component analysis. Logistic regression was used to estimate the associations between SEP and mental health. Results: Low SEP was associated with increased odds of depression and anxiety (odds ratio [OR] range 1.18-2.69). These associations remained significant after adjusting for age, sex, relationship status, and psychiatric history. Multivariable adjustment for medical worry and isolation during the pandemic had the largest attenuating effects (ranges 18-60% and 4-46%, respectively) on mental health outcomes. When adding further adjustment for the remaining SEP markers and all potential confounding and mediating factors, depression was associated with high area deprivation and low education level and income, whilst anxiety was only associated with low education level. No dose-response relationship was observed. Conclusions: SEP was inversely associated with mental health, which was mostly explained by medical worry and isolation during the COVID-19 pandemic. Mental health interventions might target these factors to prevent widening inequalities in mental health. Future studies should use longitudinal data to investigate the association.

Socioeconomic Position Across the Life Course and Trends in Disability-Free Life Expectancy in Australia

There has been little investigation of how life-course social mobility is linked to Disability-Free Life Expectancy (DFLE). We report novel analysis of the HILDA survey examining how DFLE trends differs by three markers of socio-economic position (SEP): early-life (educational attainment), midlife (occupational level), and late-life (area-disadvantage). All women, irrespective of their educational level, gained years with disability (Age 65: Low education=1.5 and High education=2.5 years). Similar results were obtained by level of occupation, but women with low occupation showed small declines in LE (-0.8 years), all being losses in DFLE. Only women in the most advantaged areas gained DFLE. For men, higher levels of any marker of SEP were associated with DFLE gains that were larger than, or comparable to, gains in years lived with disability, although lower education was associated only with gains in years lived with disability. DFLE trends differ by SEP marker more in women than men.

Parental income as a marker for socioeconomic position during childhood and later risk of developing a secondary care-diagnosed mental disorder examined across the full diagnostic spectrum: a national cohort study

BackgroundLinks between parental socioeconomic position during childhood and subsequent risks of developing mental disorders have rarely been examined across the diagnostic spectrum. We conducted a comprehensive analysis of parental income level, including income mobility, during childhood and risks for developing mental disorders diagnosed in secondary care in young adulthood.MethodsNational cohort study of persons born in Denmark 1980–2000 (N = 1,051,265). Parental income was measured during birth year and at ages 5, 10 and 15. Follow-up began from 15th birthday until mental disorder diagnosis or 31 December 2016, whichever occurred first. Hazard ratios and cumulative incidence were estimated.ResultsA quarter (25.2%; 95% CI 24.8–25.6%) of children born in the lowest income quintile families will have a secondary care-diagnosed mental disorder by age 37, versus 13.5% (13.2–13.9%) of those born in the highest income quintile. Longer time spent living in low-income families was associated with higher risks of developing mental disorders. Associations were strongest for substance misuse and personality disorders and weaker for mood disorders and anxiety/somatoform disorders. An exception was eating disorders, with low parental income being associated with attenuated risk. For all diagnostic categories examined except for eating disorders, downward socioeconomic mobility was linked with higher subsequent risk and upward socioeconomic mobility with lower subsequent risk of developing mental disorders.ConclusionsExcept for eating disorders, low parental income during childhood is associated with subsequent increased risk of mental disorders diagnosed in secondary care across the diagnostic spectrum. Early interventions to mitigate the disadvantages linked with low income, and better opportunities for upward socioeconomic mobility could reduce social and mental health inequalities.

Mortality by education, occupational class and income in Finland in the 1990s and 2000s

Differences in mortality by socio-economic position (SEP) are well established, but there is uncertainty as to which dimension of SEP is most important in what context. This study compares the relationship between three SEP dimensions and mortality in Finland, during the periods 1990–97 and 2000–07, and to existing results for Sweden. We use an 11% random sample from the Finnish population with information on education, occupational class, individual income and mortality (age groups 35–59 and 60–84) (n = 810,902; 274,316 deaths). Cox proportional hazard models produce hazard ratios (HR) for categories of SEP variables in bivariate and multivariate models. Multivariate HRs are smaller than bivariate HRs, but all dimensions have a net effect on mortality. Overall, income shows the steepest mortality gradient: HR = 2.49 among men in the lowest income quintile aged 35–59 in the 1990s. The importance of the various SEP dimensions is modified by gender and age group, reflecting the significance of gendered life course differences in analyses of health inequality. Except for the declining disadvantage of poor men aged 35–59, inequalities are very stable over time and similar between Finland and Sweden. In such studies, the use of only one SEP indicator functions well as a broad marker of SEP. However, only analyses of multiple dimensions allow for comprehensive measurements of SEP, take into account the fact that some SEP dimensions are mediated by others, and provide insights into the social mechanisms underlying the stable structure of inequalities in mortality.

The impact of socioeconomic position (SEP) on women's health over the lifetime

The “social gradient of health” refers to the steep inverse associations between socioeconomic position (SEP) and the risk of premature mortality and morbidity. In many societies, due to cultural and structural factors, women and girls have reduced access to the socioeconomic resources that ensure good health and wellbeing when compared with their male counterparts. Thus, the objective of this paper is to review how SEP - a construct at the heart of the Social Determinants of Health (SDoH) theory - shapes the health and longevity of women and girls at all stages of the lifespan. Using literature identified from PubMed, Cochrane, CINAHL and EMBASE databases, we first describe the SDoH theory. We then use examples from each stage of the life course to demonstrate how SEP can differentially shape girls’ and women’s health outcomes compared with boys’ and men’s, as well as between sub-groups of girls and women when other axes of inequalities are considered, including ethnicity, race and residential setting. We also explore the key consideration of whether conventional SEP markers are appropriate for understanding the social determinants of women’s health. We conclude by making key recommendations in the context of clinical, research and policy development.

Socioeconomic and migration status as predictors of emergency caesarean section: a birth cohort study

BackgroundWomen with a migration background are reportedly at a higher risk of emergency caesarean section. There is evidence that this is due in part to suboptimal antenatal care use and quality of care. Despite the fact that migrant women and descendants of migrants are often at risk of socioeconomic disadvantage, there is, in comparison, scarce and incomplete evidence on the role of socioeconomic position as an independent risk factor for emergency caesarean delivery. We therefore investigate whether and how migration background and two markers of socioeconomic position affect the risk of an emergency caesarean section and whether they interact with each other.MethodsIn 2013–2016, we recruited women during the perinatal period in Bielefeld, Germany, collecting data on health and socioeconomic and migration background, as well as routine perinatal data. We studied associations between migration background (1st generation migrant, 2nd/3rd generation woman, no migration background), socioeconomic status (educational attainment and net monthly household income), and the outcome emergency caesarean section.ResultsOf the 881 participants, 21% (n = 185) had an emergency caesarean section. Analyses showed no association between having an emergency caesarean section and migration status or education. Women in the lowest (< 800€/month) and second lowest (between 800 and 1750€/month) income categories were more likely (aOR: 1.96, CI: 1.01–3.81; and aOR: 2.36, CI: 1.27–4.40, respectively) to undergo an emergency caesarean section than women in the higher income groups.ConclusionsMigration status and education did not explain heterogeneity in mode of birth. Having a low household income, however, increased the chances of emergency caesarean section and thereby contributed towards producing health disadvantages. Awareness of these findings and measures to correct these inequalities could help to improve the quality of obstetric care.

State inequality, socioeconomic position and subjective cognitive decline in the United States

BackgroundSocial gradients in health have been observed for many health conditions and are suggested to operate through the effects of status anxiety. However, the gradient between education and Alzheimer’s disease is presumed to operate through cognitive stimulation. We examined the possible role of status anxiety through testing for state-level income inequality and social gradients in markers of socioeconomic position (SEP) for Alzheimer’s disease risk. MethodsUsing data from the cross-sectional 2015 and 2016 Behavioral Risk Factor Surveillance System (BRFSS) and the U.S. Census Bureau’s American Community Survey, we tested for the association between U.S. state-level income inequality and individual SEP on subjective cognitive decline (SCD) – a marker of dementia risk – using a generalized estimating equation and clustering by state. ResultsState income inequality was not significantly associated with SCD in our multivariable model (OR 1.2; 95% CI: 0.9, 1.6; p=0.49). We observed a clear linear relationship between household income and SCD where those with an annual household income of 50k to 75k had 1.4 (95% CI: 1.3, 1.6) times the odds and those with household incomes of less than $10,000 had 4.7 (95% CI: 3.8, 5.7) times the odds of SCD compared to those with household income of more than $75,000. We also found that college graduates (ref.) and those who completed high school (OR: 1.1; 95% CI 1.04, 1.2) fared better than those with some college (OR: 1.3, 95% CI 1.2, 1.4) or less than a high school degree (OR: 1.5; 95% CI: 1.4, 1.7). ConclusionsIncome inequality does not play a dominant role in SCD, though a social gradient in individual income for SCD suggests the relationship may operate in part via status anxiety.

A qualitative study of the drivers of socioeconomic inequalities in men\u2019s eating behaviours

BackgroundMen of low socioeconomic position (SEP) are less likely than those of higher SEP to consume fruits and vegetables, and more likely to eat processed discretionary foods. Education level is a widely used marker of SEP. Few studies have explored determinants of socioeconomic inequalities in men’s eating behaviours. The present study aimed to explore intrapersonal, social and environmental factors potentially contributing to educational inequalities in men’s eating behaviour.MethodsThirty Australian men aged 18–60 years (15 each with tertiary or non-tertiary education) from two large metropolitan sites (Melbourne, Victoria; and Newcastle, New South Wales) participated in qualitative, semi-structured, one-on-one telephone interviews about their perceptions of influences on their and other men’s eating behaviours. The social ecological model informed interview question development, and data were examined using abductive thematic analysis.ResultsThemes equally salient across tertiary and non-tertiary educated groups included attitudes about masculinity; nutrition knowledge and awareness; ‘moralising’ consumption of certain foods; the influence of children on eating; availability of healthy foods; convenience; and the interplay between cost, convenience, taste and healthfulness when choosing foods. More prominent influences among tertiary educated men included using advanced cooking skills but having relatively infrequent involvement in other food-related tasks; the influence of partner/spouse support on eating; access to healthy food; and cost. More predominant influences among non-tertiary educated men included having fewer cooking skills but frequent involvement in food-related tasks; identifying that ‘no-one’ influenced their diet; having mobile worksites; and adhering to food budgets.ConclusionsThis study identified key similarities and differences in perceived influences on eating behaviours among men with lower and higher education levels. Further research is needed to determine the extent to which such influences explain socioeconomic variations in men’s dietary intakes, and to identify feasible strategies that might support healthy eating among men in different socioeconomic groups.

Consumer credit scores as a novel tool for identifying health in urban U.S. neighborhoods

PurposeCredit scores may operate as a socioeconomic indicator of health: they represent cumulative financial history that directly influences ability to access financial and nonfinancial resources related to health. Yet, little is known about the relationship of credit score and health or to traditional measures of socioeconomic position (SEP). Our objectives were to (1) evaluate the association between area-level credit score and individual self-rated health and (2) compare credit score to traditional markers of area-level SEP in predicting self-rated health. MethodsEquifax estimates of average household credit score in 2015 among nine-digit zip code regions were combined with a representative survey of 2083 residents of Philadelphia to estimate the correlation with income, housing value, education, and occupational status and then predict the odds of self-rated health for credit score and each SEP measure. ResultsCredit score was moderately correlated with SEP markers (r = −0.78 to 0.49). After adjusting for area- and individual-level SEP and demographic factors, each SD increase in credit score is associated with 26% greater odds of better self-rated health (odds ratio = 1.26, 95% confidence interval: 1.09–1.46). Credit score had a larger effect size than other SEP markers. ConclusionsCredit score may be a useful complement to traditional measures of SEP in assessing health outcomes.

Examining the interaction of fast-food outlet exposure and income on diet and obesity: evidence from 51,361 UK Biobank participants

BackgroundHousehold income (as a marker of socioeconomic position) and neighbourhood fast-food outlet exposure may be related to diet and body weight, which are key risk factors for non-communicable diseases. However, the research evidence is equivocal. Moreover, understanding the double burden of these factors is a matter of public health importance. The purpose of this study was to test associations of neighbourhood fast-food outlet exposure and household income, in relation to frequency of consumption of processed meat and multiple measures of adiposity, and to examine possible interactions.MethodsWe employed an observational, cross-sectional study design. In a cohort of 51,361 adults aged 38–72 years in Greater London, UK, we jointly classified participants based on household income (£/year, four groups) and GIS-derived neighbourhood fast-food outlet proportion (counts of fast-food outlets as a percentage of all food outlets, quartiles). Multivariable regression models estimated main effects and interactions (additive and multiplicative) of household income and fast-food outlet proportion on odds of self-reported frequent processed meat consumption (> 1/week), measured BMI (kg/m2), body fat (%), and odds of obesity (BMI ≥ 30).ResultsIncome and fast-food proportion were independently, systematically associated with BMI, body fat, obesity and frequent processed meat consumption. Odds of obesity were greater for lowest income participants compared to highest (OR = 1.54, 95% CI: 1.41, 1.69) and for those most-exposed to fast-food outlets compared to least-exposed (OR = 1.51, 95% CI: 1.40, 1.64). In jointly classified models, lowest income and highest fast-food outlet proportion in combination were associated with greater odds of obesity (OR = 2.43, 95% CI: 2.09, 2.84), with relative excess risk due to interaction (RERI = 0.03). Results were similar for frequent processed meat consumption models. There was no evidence of interaction on a multiplicative scale between fast-food outlet proportion and household income on each of BMI (P = 0.230), obesity (P = 0.054) and frequent processed meat consumption (P = 0.725).ConclusionsOur study demonstrated independent associations of neighbourhood fast-food outlet exposure and household income, in relation to diet and multiple objective measures of adiposity, in a large sample of UK adults. Moreover, we provide evidence of the double burden of low income and an unhealthy neighbourhood food environment, furthering our understanding of how these factors contribute jointly to social inequalities in health.

Socioeconomic Position Across the Life Course and Cognitive Ability Later in Life: The Importance of Considering Early Cognitive Ability.

Objective: Investigate direct and indirect associations between markers of socioeconomic position (SEP) across the life course and midlife cognitive ability while addressing methodological limitations in prior work. Method: Longitudinal data from the Danish Metropolit cohort of men born in 1953 (N = 2,479) who completed ability tests at age 12, 18, and 56-58 linked to register-based information on paternal occupational class, educational attainment, and occupational level. Associations were assessed using structural equation models, and different models were estimated to examine the importance of accounting for childhood ability and measurement error. Results: Associations between adult SEP measures and midlife ability decreased significantly when adjusting for childhood ability and measurement error. The association between childhood and midlife ability was by far the strongest. Discussion: The impact of adult SEP on later life ability may be exaggerated when not accounting for the stability of individual differences in cognitive ability and measurement error in test scores.

Socio-economic inequalities in C-reactive protein and fibrinogen across the adult age span: Findings from Understanding Society

Systemic inflammation has been proposed as a physiological process linking socio-economic position (SEP) to health. We examined how SEP inequalities in inflammation –assessed using C-reactive protein (CRP) and fibrinogen– varied across the adult age span. Current (household income) and distal (education) markers of SEP were used. Data from 7,943 participants (aged 25+) of Understanding Society (wave 2, 1/2010-3/2012) were employed. We found that SEP inequalities in inflammation followed heterogeneous patterns by age, which differed by the inflammatory marker examined rather than by SEP measures. SEP inequalities in CRP emerged in 30s, increased up to mid-50s or early 60 s when they peaked and then decreased with age. SEP inequalities in fibrinogen decreased with age. Body mass index (BMI), smoking, physical activity and healthy diet explained part, but not all, of the SEP inequalities in inflammation; in general, BMI exerted the largest attenuation. Cumulative advantage theories and those considering age as a leveler for the accumulation of health and economic advantages across the life-span should be dynamically integrated to better understand the observed heterogeneity in SEP differences in health across the lifespan. The attenuating roles of health-related lifestyle indicators suggest that targeting health promotion policies may help reduce SEP inequalities in health.

Traumatic dental injuries and socioeconomic position – findings from the Children's Dental Health Survey 2013

The aim of this study was to assess whether traumatic dental injuries (TDI) were socially graded among children and adolescents in England, Wales and Northern Ireland, using nationally representative data from the Children's Dental Health Survey (CDHS) 2013. This cross-sectional study used data from the Children's Dental Health Survey 2013 which was conducted among a nationally representative sample of schoolchildren in England, Wales and Northern Ireland. Children's family socioeconomic position (SEP) was measured through free school meal eligibility and relative area deprivation using the Indices of Multiple Deprivation. The analytical sample included 6707 schoolchildren aged 8, 12 and 15. Multiple logistic regression was used to model the associations between experience of TDI and the two markers of SEP, after adjusting for sex and age. The overall prevalence of traumatic dental injuries to permanent incisors was 9% (n = 590). There were no statistically significant associations between TDI and either SEP measure. Further subgroup analyses (n = 2650) showed also no significant associations between TDI and additional SEP markers (parental education and social class). The odds of having sustained a traumatic dental injury were higher for boys than for girls and were greater in older age groups. This study found no significant relationships between the experience of traumatic dental injuries and two markers of family socioeconomic position among children living in England, Wales and Northern Ireland. This implies that rather than specifically targeting the more deprived sectors of society, TDI prevention policies should use upstream public health strategies incorporating a whole-population approach.