Socioeconomic Inequalities In Health Research Articles

Better off by risk adjustment? Socioeconomic disparities in care utilization in Sweden following a payment reform

AbstractReducing socioeconomic health inequalities is a key goal of most health systems. A challenge in this regard is that healthcare providers may have incentives to avoid or undertreat patients who are relatively costly to treat. Due to the socioeconomic gradient in health, individuals with low socioeconomic status (SES) are especially likely to be negatively affected by such attempts. To counter these incentives, payments are often risk adjusted based on patient characteristics. However, empirical evidence is lacking on how, or if, risk adjustment affects care utilization. We examine if a novel risk adjustment model in primary care affected socioeconomic differences in care utilization among individuals with a chronic condition. The new risk adjustment model implied that the capitation—the monthly reimbursement paid by the health authority to care providers for each enrolled patient—increased substantially for chronically ill low‐SES patients. Yet, we do not find any robust evidence that their access to primary care improved relative to patients with high SES, and we find no effects on adverse health events (hospitalizations). These results suggest that the new risk adjustment model did not reduce existing health inequalities, indicating the need for more targeted incentives and interventions to reach low‐SES groups.

Carry that weight: Parental separation and children’s Body Mass Index from childhood to young adulthood

Research has shown that parental separation is associated with worse physical health and unhealthy weight gains during childhood. However, limited empirical attention has been given to the evolution of child health before, upon and following parental union dissolution. Drawing on data from the Child Development Supplement and the Transition to Adulthood Supplement of the Panel Study of Income Dynamics (1997-2017), I investigate whether parental union dissolution during childhood is associated with children’s Body Mass Index (BMI) and the risk of developing overweight/obesity in the short and long run (n=2,675 children aged 0-12 in 1997). The results from a combination of propensity score matching and fixed-effects linear regression models show that union dissolution is associated with increases in child BMI and an increased risk of developing overweight/obesity. These changes in children’s weight status persist for at least ten years after parental separation. Unhealthy weight gains following parental separation are more pronounced among female children and those with lower-educated and non-White parents. The findings suggest that in the United States parental union dissolution contributes to increase socioeconomic inequalities in child health. Therefore, children with separated parents and lower socioeconomic backgrounds have greater risks of developing overweight/obesity and other obesity-related morbidities over their life courses.

Correction: Wilderink et al. A Theoretical Perspective on Why Socioeconomic Health Inequalities Are Persistent: Building the Case for an Effective Approach. Int. J. Environ. Res. Public Health 2022, 19, 8384

Correction: Wilderink et al. A Theoretical Perspective on Why Socioeconomic Health Inequalities Are Persistent: Building the Case for an Effective Approach. Int. J. Environ. Res. Public Health 2022, 19, 8384

Health and health behaviours in adolescence as predictors of education and socioeconomic status in adulthood – a longitudinal study

BackgroundThe positive association of health with education level and socioeconomic status (SES) is well-established. Two theoretical frameworks have been delineated to understand main mechanisms leading to socioeconomic health inequalities: social causation and health selection but how these work in adolescence is poorly known. We studied if adolescent health and health behaviours predict higher education and higher SES in adulthood and if family background and school performance in adolescence explain these associations.MethodsSurveys on health and health behaviours were sent to representative samples of 12–18-year-old Finns in 1981–1997 every second year (response rate 77.8%, N = 55,682). The survey data were linked with the respondents’ and their parents’ socioeconomic data from the Finnish national registries. Both latent variables, namely, health (perceived health, health complaints, chronic disease), health-compromising behaviours (smoking status, drunkenness frequency), and family background (parents’ occupation-based SES, education, family type) and variables directly measuring health-enhancing behaviours (toothbrushing, physical activity) and school performance were used to predict higher education and higher occupation-based SES at age 34. Logistic regression analysis and structural equation models (SEM) were used.ResultsIn logistic regression analyses, good health, health-enhancing behaviours, and lack of health-compromising behaviours were related to higher education and SES, also after controlling for family background and school performance. In the SEM analyses, good health, health-enhancing behaviours, and lack of health-compromising behaviours directly predicted higher SES and higher education, although the standardised coefficients were low (from 0.034 to 0.12). In all models, health, lack of health-compromising behaviours, and health-enhancing behaviours predicted school performance, which in turn, predicted the outcomes, suggesting indirect routes to these. Good socioeconomic prospects in terms of family background predicted good health, healthy behaviours, and good school performance in adolescence and higher SES and higher education in adulthood.ConclusionHealth and health behaviours in adolescence predicted education and SES in adulthood. Even though the relationships were modest, they support the health selection hypotheses and emphasise the importance of adolescence for health inequalities during the life-course. Health and health behaviours were strongly associated with school performance and family background which together modified the paths from health and health behaviours to the outcomes.

Socio-economic inequities in mental health problems and wellbeing among women working in the apparel and floriculture sectors: testing the mediating role of psychological capital, social support and tangible assets

BackgroundIt is still unknown whether the mechanisms proposed by the Reserve Capacity Model (RCM) explaining socio-economic health and wellbeing inequities in high income countries can be applied to low-income countries. This study investigates whether different reserve capacities (intra-, inter-personal, and tangible) can explain the association between relative socio-economic position (SEP) and wellbeing outcome measures among Ethiopian women working in Foreign Direct Investment (FDI).MethodUsing a cross-sectional design, we collected quantitative survey data among 2,515 women working in the apparel and floriculture sectors in Ethiopia, measuring GHQ-12 mental health problems, multi-dimensional wellbeing, relative SEP, psychological capital (PsyCap), social support (emotional and financial social support network), and tangible assets (e.g., owning mobile phone, having access to toilet facilities). We used cluster-adjusted structural equation modelling to test whether PsyCap, social support, and/or tangible assets mediate the association between relative SEP (IV) and GHQ-12 mental health problems and multi-dimensional wellbeing (DVs).ResultsPsyCap and the size of the financial support network significantly mediate the socio-economic gradient in both wellbeing outcomes. The size of the emotional social support network shows no association with multi-dimensional wellbeing and shows an unexpected negative association with GHQ-12 mental health problems scores, including a significant mediation effect. Tangible assets show no association with the wellbeing outcome measures and do not mediate socio-economic mental health problems and wellbeing inequities.ConclusionsThe RCM can be applied in low-income countries, although in unexpected ways. Similar to findings from high-income countries, PsyCap and size of the financial social support network show significant mediation effects in explaining mental health problems and wellbeing inequities in Ethiopia. These reserves could therefore serve as a buffer for socio-economic inequities in mental health and wellbeing and can therefore assist in decreasing these inequities for women working in FDI sectors in Ethiopia.

Country-level sociocultural context and socioeconomic inequalities in adolescent dietary behaviours: A multilevel analysis in 21 European countries

Studies to date have predominantly focused on countries' socioeconomic conditions (e.g., income inequality) to explain cross-national differences in socioeconomic inequalities in adolescent health (behaviours). However, the potential explanatory role of sociocultural contexts at country-level remains underexamined. This study examined whether the country-level sociocultural context and changes thereof were associated with adolescent socioeconomic inequalities in dietary behaviours. International comparative data of 344,352 adolescents living in 21 countries participating in 2002, 2006, 2010 and 2014 waves of the Health Behaviour in School-aged Children (HBSC) survey were combined with aggregated levels of openness-to-change from the European Social Survey (ESS). Four dietary behaviours (i.e., fruit, vegetable, sweets and soft drink consumption) and two measures of socioeconomic status (SES) on the individual level (i.e., family affluence scale [FAS] and occupational social class [OSC]) were studied. Multilevel logistic regression analyses returned contrasting results for the two SES measures used. In countries with higher levels of openness-to-change, smaller FAS inequalities in daily fruit, sweets and soft drink consumption were observed, but no such inequalities were found for vegetable consumption. Conversely, in these countries, larger OSC inequalities in soft drink consumption were found. Country-specific changes in openness-to-change over time were not associated with the magnitude of adolescent dietary inequalities. Findings underscore the importance of including country-level sociocultural contexts to improve the understanding of cross-national differences in socioeconomic inequalities in adolescents’ diets. Future studies, spanning a longer timeframe, are required to examine whether such associations exist within countries over time since our timeframe might have been too small to capture these long-term trends.

Measuring spatial inequality of urban park accessibility and utilisation: A case study of public housing developments in Auckland, New Zealand

Poor spatial accessibility of urban green spaces affects disadvantaged populations, who are at greater risk of socioeconomic related health inequalities. We analyse mobile phone locational data from the Auckland Region of New Zealand to connect a user's 'home' location to nearby urban parks, specifically focusing on public housing tenants - a highly vulnerable group at greater risk of health inequalities.We use a number of traditional accessibility measures and four new park utilisation analyses to explore the relationship between accessibility to urban parks, neighbourhood area deprivation, and user's patterns of actual park usage. We develop four new metrics to assist in understanding the actual utilisation of green spaces available to residents: distance between closest park available and visited (DAT), used park opportunities (UPO), locality of park visits (LPV), and nearest park visitation rate (NPVR).We found that neighbourhoods with the most public housing tend to have a lower number of parks accessible, and those that are accessible are smaller in size. Additionally, people living in these areas tend to travel farther to access urban parks compared to areas with no public housing. More deprived neighbourhoods were revealed to have lower accessibility to urban greens in Auckland, highlighting the urgency to address the emerging divisions in accessibility and opportunities for these neighbourhoods. Our findings have important implications for policy-makers and urban planners. Furthermore, the use of mobile phone locational data can reveal insights into the mobility behaviour of users and can be applied to other locations and population groups.

A qualitative exploration of the barriers and facilitators to self-managing multiple long-term conditions amongst people experiencing socioeconomic deprivation.

Globally, it is estimated that one in three adults live with two or more long-term conditions (multiple long-term conditions, MLTCs), that require self-management. People who experience socioeconomic deprivation face significant health inequalities due to a range of interrelated characteristics that lead to a lack of resources and opportunities. Previous research with underserved populations indicate low levels of trust towards primary care providers and potential barriers for developing patient-healthcare professional relationships. The purpose of this paper is to explore the barriers and facilitators to self-managing MLTCs, amongst people who experience socioeconomic deprivation. Semistructured one-to-one interviews with adults (n = 28) living in London and Sheffield, United Kingdom with MLTCs who are experiencing socioeconomic deprivation. Participants were recruited through general practices, community channels and social media. Data were analysed in NVivo using reflexive thematic analysis methods. Four analytical themes were developed: (1) challenges in accessing healthcare services, financial assistance, and cultural awareness; (2) empowerment and disempowerment through technology, including digital exclusion, and use of technology; (3) impact and causes of exclusion on self-management, including social isolation, area-based and economic exclusion, and health-related stigma and (4) adapting self-management strategies, including cost-effective, and culturally/lifestyle appropriate strategies. Future health interventions and services need to be developed with consideration of the combined complexities of managing MLTCs while experiencing socioeconomic deprivation. Increased awareness in practitioners and commissioners of the complexities surrounding the lives of people experiencing socioeconomic deprivation, and the need for targeted strategies to promote self-management of MLTCs are of great importa. A patient advisory group contributed to all stages of the study, including providing important feedback on study documents (topic guides and recruitment materials), as well as providing critical insights surrounding the interpretation of interview data.

Socioeconomic mental health disparities and income mobility in Australia: A longitudinal factor decomposition analysis

In recent years mental health disparity has been rising in Australia. The contributing factors to this rising disparity are not well understood. We investigated this by measuring and decomposing socioeconomic mental health inequality in Australia using the Household, Income and Labour Dynamics in Australia (HILDA) panel survey datasets between 2009 and 2017 employing the longitudinal factor decomposition method. In this research, we decompose the Income-Related Health Mobility (IRHM) and the Health-Related Income Mobility (HRIM) index. The IRHM index reflects the effect of the relationship between relative health changes at a constant income level, and the HRIM index represents changes in income ranking or income mobility with a fixed health outcome over time. Our findings suggest that poorer individuals cannot procure private health insurance, experience more long-term health conditions and have larger exposure to life shocks than richer individuals. Thus, long-term health conditions, private health insurance coverage, and number of life disruptions are the primary factors that negatively impact the IRHM index, thereby contributing to an increase in socioeconomic inequality in mental health in Australia. Moreover, the HRIM index exhibits a more pronounced adverse impact from labour force status compared to the relatively weaker positive effects observed in the IRHM index, resulting in a net negative effect from labour force status in this period. To address this, Australian governments should focus on implementing cost-effective intervention policies targeting disadvantaged populations to maximise health system resources and minimise mental health disparity by addressing the socioeconomic determinants of mental health.

Intrinsic capacity trajectories and socioeconomic inequalities in health: the contributions of wealth, education, gender, and ethnicity

BackgroundLife-long health inequalities exert enduring impacts and are governed by social determinants crucial for achieving healthy aging. A fundamental aspect of healthy aging, intrinsic capacity, is the primary focus of this study. Our objective is to evaluate the social inequalities connected with the trajectories of intrinsic capacity, shedding light on the impacts of socioeconomic position, gender, and ethnicity.MethodsOur dynamic cohort study was rooted in three waves (2009, 2014, 2017) of the World Health Organization’s Study on Global AGEing and Adult Health in Mexico. We incorporated a nationally representative sample comprising 2722 older Mexican adults aged 50 years and over. Baseline measurements of socioeconomic position, gender, and ethnicity acted as the exposure variables. We evaluated intrinsic capacity across five domains: cognition, psychological, sensory, vitality, and locomotion. The Relative Index of Inequality and Slope Index of Inequality were used to quantify socioeconomic disparities.ResultsWe discerned three distinct intrinsic capacity trajectories: steep decline, moderate decline, and slight increase. Significant disparities based on wealth, educational level, gender, and ethnicity were observed. Older adults with higher wealth and education typically exhibited a trajectory of moderate decrease or slight increase in intrinsic capacity. In stark contrast, women and indigenous individuals were more likely to experience a steeply declining trajectory.ConclusionsThese findings underscore the pressing need to address social determinants, minimize gender and ethnic discrimination to ensure equal access to resources and opportunities across the lifespan. It is imperative for policies and interventions to prioritize these social determinants in order to promote healthy aging and alleviate health disparities. This approach will ensure that specific demographic groups receive customized support to sustain their intrinsic capacity during their elder years.

Widening Disparities in COVID-19 Mortality and Life Expectancy Among 15 Major Racial and Ethnic Groups in the United States, 2020-2021.

Persistent and often widening racial/ethnic and socioeconomic inequalities in health have long existed in the US. Although racial/ethnic disparities in COVID-19 mortality are well documented, COVID-19 mortality risks and resultant reductions in life expectancy during the pandemic for detailed racial and ethnic groups in the US, including Asian and Hispanic subgroups, are not known. We used 2020-2021 US mortality data to estimate age-adjusted COVID-19 mortality rates, life expectancy, and the consequent declines in life expectancy due to COVID-19 overall and for the 15 largest racial/ethnic groups. We used standard life table methodology, cause-elimination life tables, and inequality indices to analyze trends in racial/ethnic disparities. The number of COVID-19 deaths increased from 350,827 in 2020 to 416,890 in 2021. COVID-19 death rates varied 7-fold among the racial/ethnic groups; Japanese and Chinese had the lowest mortality rates and Mexicans and American Indians/Alaska Natives (AIANs) had the highest rates. In 2021, life expectancy ranged from 70.3 years for Blacks and 70.6 years for AIANs to 85.2 years for Japanese and 87.7 years for Chinese. The life-expectancy gap was wide- 22.4 years in 2020 and 23.2 years in 2021. COVID-19 mortality had the greatest impact in reducing the life expectancy of Mexicans (3.53 years in 2020 and 3.78 years in 2021), Central/South Americans (4.86 years in 2020 and 3.50 years in 2021), and AIANs (2.51 years in 2020 and 2.38 years in 2021). Racial/ethnic inequalities in COVID-19 mortality, life expectancy, and resultant reductions in life expectancy during the pandemic widened between 2020 and 2021.

Trends in health inequalities in childhood and adolescence in Germany: Results of the HBSC study 2009/10 - 2022.

Many studies have identified health inequalities in childhood and adolescence. However, it is unclear how these have developed in recent years, particularly since the COVID-19 pandemic. Analyses are based on the German data from the international Health Behaviour in School-aged Children (HBSC) study from 2009/10 (n = 5,005), 2013/14 (n = 5,961), 2017/18 (n = 4,347), and 2022 (n = 6,475). A total of 21,788 students aged approximately between 11 and 15 years were included. Socioeconomic status (SES) was assessed using the Family Affluence Scale (FAS). Several health indicators were analysed stratified by gender using bivariate and multivariate analysis methods. In 2022, there are clear socioeconomic inequalities in life satisfaction, self-rated health, fruit and vegetable consumption, and physical activity. These inequalities remained largely constant or increased between 2009/10 and 2022. Between 2017/18 and 2022, no significant changes in inequalities were found. Health inequalities are persistent and reduce the chances of growing up healthy. There is no evidence that inequalities in the analysed outcomes have changed during the pandemic period (between 2017/18 and 2022). Rather, the changes in the health indicators seem to affect all adolescents in a similar way.

Patient-planetary health co-benefit prescribing in a circumpolar health region: a qualitative study of physician voices from the Northwest Territories, Canada

BackgroundDespite climate change being described as a code red for humanity, health systems have been particularly slow in both climate mitigation and adaptation responses. The effects of climate change on...

Socioeconomic inequalities in child and adolescent mental health in Australia: the role of parenting style and parents' relationships.

Socioeconomic inequalities in health and their determinants have been studied extensively over the past few decades. However, the role of parenting style and parents' couple relationships in explaining mental health inequalities is limited. Therefore, this study aims to investigate the distributional impact of parenting style (angry parenting, consistent parenting, and inductive parenting) and parents' couple relationships (e.g., argumentative, happy relationships) on socioeconomic inequalities and by extension on mental health status of Australian children and adolescents. This study utilized data from the Longitudinal Study of Australian Children (Waves 1-7), specifically focusing on intact biological parent families, while excluding single-parent and blended-family households. We applied the decomposition index and the Blinder Oaxaca method to investigate the extent of the contribution and temporal impact of parenting style and parents' couple relationships on the mental health status of Australian children and adolescents. This study revealed that poor parenting style is the single most important factor that leads to developing mental health difficulties in children and adolescents, especially from low socioeconomic status, and it contributes almost 52% to socioeconomic inequalities in mental health status. Conversely, household income, maternal education, employment status, and parents' couple relationships contributed 28.04%, 10.67%, 9.28%, and 3.34%, respectively, to mental health inequalities in children and adolescents. Overall, this study underscores the importance of parenting style and parents' couple relationships as significant predictors of mental health outcomes in children and adolescents. These results highlight the need for targeted interventions to support families from low socioeconomic backgrounds to address the significant mental health inequalities observed in the study population.

Examining socioeconomic factors influencing maternal health in pregnancy

ABSTRACT Maternal health outcomes are profoundly influenced by socioeconomic determinants, posing significant challenges to achieving equitable care for pregnant women worldwide. This research examines the impact of socioeconomic factors on maternal health, aiming to assess the extent of inequality among expectant mothers. Employing diverse research methodologies and data analysis techniques, this study investigates the multifaceted relationship between socioeconomic status and maternal health outcomes. Findings reveal distinct disparities in access to healthcare, influenced by income, education, employment, and housing conditions. These disparities contribute to varying maternal health outcomes, emphasizing the critical need for targeted interventions. The study recommends tailored strategies, encompassing improved healthcare access, educational initiatives, workplace support, and policy enhancements to address socioeconomic inequalities in maternal health effectively. This research underscores the urgency of comprehensive interventions to ensure equitable maternal healthcare for all pregnant women, irrespective of their socioeconomic backgrounds.

Socioeconomic inequalities in adolescent mental health in the Nordic countries in the 2000s - A study using cross-sectional data from the Health Behaviour in School-aged Children study

BackgroundAdolescents in Sweden experience more mental health problems and lower mental well-being than adolescents in other Nordic countries. According to the literature, one possible explanation may be differences in income inequality. The at-risk-of-poverty rate varies significantly across the Nordic countries, and the highest rate is found in Sweden. The aims of the study were to examine socioeconomic inequalities in subjective health complaints and life satisfaction among adolescents in the Nordic countries during 2002 − 2018 and to explore whether subjective health complaints and life satisfaction were related to income inequality in terms of the at-risk-of-poverty rate at the country level.MethodsData regarding 15-year-olds from the Health Behaviour in School-aged Children study from five survey rounds (2002 − 2018) were used (n = 41,148). The HBSC Symptoms Checklist and Cantril’s ladder were used as measures of subjective health complaints and life satisfaction, respectively. The Family Affluence Scale, the Perceived Family Wealth item and the at-risk-of-poverty rate in each country were used as measures of individual-level socioeconomic conditions and country-level income inequality. Statistical methods involved ANOVA, multiple linear regressions and multilevel regression analyses.ResultsAbsolute and relative socioeconomic inequalities in both subjective health complaints and life satisfaction were found in all countries. Sweden showed average socioeconomic inequalities, Iceland the largest and Denmark the smallest. Country-level income inequality in terms of the at-risk-of-poverty rate was associated with a higher prevalence of subjective health complaints and lower levels of life satisfaction in all countries.ConclusionSocioeconomic inequalities in adolescent mental health and well-being persisted in Nordic countries in the 2000s. Increasing income inequality may have contributed to higher levels of SHC and lower LS in Sweden compared to the other Nordic countries. Policies improving families’ socioeconomic conditions and reducing income inequality at the country level are needed to improve and reduce inequalities in mental health and well-being among adolescents.

The Impact of Socioeconomic Factors on Pediatric Oral Health: A Review.

This narrative review examines the impact of socioeconomic status (SES) on pediatric oral health, emphasizing disparities in dental caries prevalence and oral health-related quality of life (OHRQoL) among children from different socioeconomic backgrounds. Utilizing an extensive literature search through PubMed, Google Scholar, and the chat.consensus.app plugin, we synthesized findings from studies published up to December 2023. The review highlights a consistent association between lower SES and adverse pediatric oral health outcomes, influenced by parental education, household income, food security, and neighborhood conditions. It also underscores the importance of the life-course perspective, showing how early-life socioeconomic disadvantages can have long-lasting effects on oral health. Furthermore, the review points to the critical role of school-based oral health education programs and the complex interplay between mental health, SES, and pediatric oral health. By examining the impact of socioeconomic factors across different childhood stages and the effectiveness of educational interventions, this review calls for targeted interventions and policy initiatives aimed at reducing socioeconomic inequalities in pediatric oral health. The findings advocate for a multifaceted approach to improve oral health outcomes for children across socioeconomic backgrounds, ensuring equitable access to oral health care and promoting overall well-being.

Neighbourhood characteristics and socioeconomic inequalities in child mental health: Cross-sectional and longitudinal findings from the Growing Up in Ireland study

This study examined the role of neighbourhood characteristics in explaining socioeconomic inequalities in child mental health (the total difficulties score from the Strengths and Difficulties Questionnaire) using data from Cohort ’08 of Growing Up in Ireland Waves 3 (age 5; baseline) and 5 (age 9; follow-up). Twenty neighbourhood items were grouped into neighbourhood safety, built environments, cohesion, interaction, and disorder. Data were analysed using regression, single and multiple mediation, and network psychometric analyses. We found that neighbourhood safety, cohesion, interaction, and disorder were associated with child mental health. These four domains separately (by up to 18 %) or in concert (by up to 23 %) partially explained socioeconomic inequalities in child mental health. Built environments may explain socioeconomic inequalities in mental health in urban children only. Findings from network analysis indicated that specific concerns over “people being drunk or taking drugs in public” and “this is a safe neighbourhood” had the strongest connections with child mental health. Improving neighbourhood characteristics may be important to reduce socioeconomic inequalities in child mental health in Ireland.

81. Trends and Socioeconomic Inequalities in Youth Mental Health, 2019 to 2022: Evidence from the Gallup World Poll

81. Trends and Socioeconomic Inequalities in Youth Mental Health, 2019 to 2022: Evidence from the Gallup World Poll

Investigating the individual and joint effects of socioeconomic status and lifestyle factors on mild cognitive impairment in older Italians living independently in the community: results from the NutBrain study

ObjectivesDespite extensive research, a clear understanding of the role of the interaction between lifestyle and socioeconomic status (SES) on cognitive health is still lacking. We investigated the joint association of socioeconomic factors in early to midlife and lifestyle in later life and Mild Cognitive Impairment (MCI). DesignObservational cross-sectional study. SettingNutBrain study in northern Italy. Participants773 community-dwelling adults aged 65 years and older (73.2 ± 6.0 SD, 58.6% females) participating in the NutBrain study (2019–2023). MeasurementsThree SES indicators (home ownership, educational level, occupation) and five lifestyle factors (adherence to Mediterranean diet, physical activity, smoking habits, social network, leisure activities) were selected. Each factor was scored and summed to calculate SES and healthy lifestyle scores; their joint effect was also examined. The association with MCI was assessed by logistic regression controlling for potential confounders. Sex-stratified analysis was performed. ResultsIn total, 24% of the subjects had MCI. The multivariable logistic model showed that a high SES and a high lifestyle score were associated with 81.8% (OR0.182; 95%CI 0.095−0.351), and 44.1% (OR0.559; 95%CI 0.323−0.968) lower odds of having MCI, respectively. When examining the joint effect of SES and lifestyle factors, the cognitive benefits of a healthy lifestyle were most pronounced in participants with low SES. A healthier lifestyle score was found to be significantly associated with lower odds of MCI, only in females. ConclusionsAccording to our findings, SES was positively associated with preserved cognitive function, highlighting the importance of active lifestyles in reducing socioeconomic health inequalities, particularly among those with a relatively low SES. Trial registrationTrial registration number NCT04461951, date of registration July 7, 2020 (retrospectively registered, ClinicalTrials.gov).