The role of social deprivation and depression in dementia risk: findings from the longitudinal survey of health, ageing and retirement in Europe

Associations of Socioeconomic Status and Phenotypic Frailty With Incident COPD: Findings From UK Biobank Participants

BACKGROUND

The independent, mediation, interaction, and joint effects of socioeconomic status (SES) and phenotypic frailty on the incidence of COPD are unclear.

RESEARCH QUESTION

Do SES and frailty increase the risk of COPD independently or jointly? Is there an interaction between the 2 factors in incident COPD? Does frailty play a mediating role between SES and COPD?

STUDY DESIGN AND METHODS

This study included 396,106 UK Biobank participants without COPD at baseline. Latent class analysis was used to define the SES of participants. Frailty was defined by the frailty phenotypes according to 5 factors. Cox regression models were used to examine the associations and calculate hazard ratios (HRs) and 95% CIs. Mediation and interaction analyses were used to explain the associations between SES and frailty on COPD risk.

RESULTS

During a median follow-up period of 13.5 years, 12,626 individuals were diagnosed with COPD. Compared with high SES or robust individuals, low SES (HR, 2.69; 95% CI, 2.48-2.92) or frailty (HR, 2.75; 95% CI, 2.58-2.93) increased the risk of COPD, respectively; 11.80% of the association between SES and COPD was mediated by frailty. In addition, there was a statistically significant additive interaction of low SES and frailty with COPD incidence (relative risk due to interaction, 3.591; 95% CI, 2.189-4.992; attributable proportion due to the interaction, 0.433; 95% CI, 0.276-0.589). Compared with robust individuals with high SES, frail individuals with low SES have the highest risk of COPD (HR, 7.85; 95% CI, 6.96-8.86).

INTERPRETATION

Our findings indicate that low SES and frailty are independent risk factors for COPD, and these 2 factors also have synergistic interaction in COPD. Frailty partially mediated the association between SES and COPD. Thus, the early identification and reversal of frailty may minimize the risk of COPD, especially in individuals with low SES.

Social determinants of health and risk of dementia among older men and women: A 12-year cohort study in Australia

INTRODUCTION

Social determinants of health (SDH) are recognized as contributing factors to cognitive disorders, but their collective influence on dementia risk remains unclear.

METHODS

A gender-disaggregated analysis was conducted on 12,896 community-dwelling older Australians (mean ± SD age: 75.2 ± 4.3 years; 54% women) without major cognitive impairment upon enrollment. Latent class analysis identified clusters from 72 SDH (70 individual-level and 2 neighborhood-level), while Cox proportional hazards regression estimated dementia risk over 12 years (median: 8.4) follow-up.

RESULTS

Four clusters were identified: least disadvantaged (Class 1: 31.5% men; 30.6% women), most disadvantaged (Class 2: 20.2% men; 19.4% women), high social support with Class 1 features (Class 3: 22.2% men; 24.1% women), and high social support with Class 2 features (Class 4: 26.1% men; 25.7% women). Compared to Class 1, men (HR: 1.49, 95% CI: 1.12-1.98) and women (HR: 1.56, 95% CI: 1.17-2.07) in Class 2, and women in Class 4 (HR: 1.66, 95% CI: 1.28-2.16) had a higher dementia risk.

DISCUSSION

Socioeconomic disadvantage was associated with incident dementia. Despite stronger social support, women's cognitive capacity appeared to be disproportionately impacted by adverse SDH.

HIGHLIGHTS

Four distinct multidimensional clusters were identified from a wide range of 72 social determinants of health. These clusters were associated with dementia risk differently in men and women. In both men and women, the most socioeconomically disadvantaged group had a higher risk of dementia. Despite stronger interpersonal social support, women had a greater risk of dementia. The addition of known dementia risk factors in cluster analysis did not change the findings, suggesting that social determinants of health independently predict dementia risk.

Dementia diagnosis rates and the impact of ethnicity, rurality and deprivation

OBJECTIVES

NHS England publishes monthly national and regional estimated dementia diagnosis rates (DDR) to assess the healthcare system's effectiveness in identifying dementia cases. Previous research indicates that sociodemographic factors, such as ethnic minority status, socioeconomic deprivation, and rurality, influence both healthcare quality and dementia risk. This study aimed to examine the association between these sociodemographic factors and DDR, and to estimate an ethnicity-adjusted DDR using available ethnic group data.

METHOD

We analysed NHS Digital Primary Care Dementia Data electronic health records for July 2023. We used a linear regression model to determine the association between DDR and ethnicity, deprivation, and rurality factors using local authority region level data. We also adjusted the DDR at the level of sub-integrated care boards based on previously published odds ratios of dementia diagnosis by ethnic group.

RESULTS

Regression modelling revealed that areas with higher proportions of minority ethnic groups and greater rurality had lower DDRs. Conversely, higher levels of deprivation were linked to higher DDRs. After adjusting for different odds ratios for dementia in minority ethnic groups, the national DDR decreased by 1%, with regional diagnosis rates dropping by up to 5.4%.

CONCLUSION

Higher regional proportional ethnic minority population and greater rurality were associated with a lower DDR which might reflect poorer access to diagnostic services. Higher deprivation levels were associated with a higher DDR which might reflect higher rates of dementia in more deprived populations. We discuss measures to improve the accuracy and utility of the DDR, with a specific focus on ethnicity.

The Mediating Role of Lifestyle Activities in the Association Between Social Deprivation and Cognition in Older Adulthood: Results From the Health and Retirement (HRS) Study

Objectives: We aimed to investigate the mediating role of lifestyle activities in the association between social deprivation and cognition. Methods: To investigate, we analysed data of 3867 respondents (Mean Age: 73.37, SD: 5.57) in the U.S. Health and Retirement Study (HRS) using growth curve and path analysis, adjusted for demographic and health covariates. Results: Being in the high (vs. moderate) Social Deprivation Index group was associated with lower cognition scores (β = -2.63, [95 % CI: -2.90, -2.36]). Conversely, higher (vs. lower) Lifestyle Index scores were associated with higher cognition scores (β = 1.17, [95 % CI: 0.72, 1.63]). In mediation analysis, the Lifestyle Index score explained 27 % of the association of So Dep Index group on cognition at the final follow-up. Discussion: While lifestyle activities did mediate the association between social deprivation and cognition, factors not investigated accounted for the majority of the variation. These may include systemic disadvantages.

Comorbidity and household income as mediators of gender inequalities in dementia risk: a real-world data population study

BACKGROUND

Low household income (HI), comorbidities and female sex are associated with an increased risk of dementia. The aim of this study was to measure the mediating effect of comorbidity and HI on the excess risk due to gender in relation to the incidence and prevalence of dementia in the general population.

METHODS

A retrospective and observational study using real-world data analysed all people over 60 who were registered with the Basque Health Service in Gipuzkoa. The study measured HI level, the Charlson comorbidity index (CCI), age and sex. The prevalence and incidence of dementia were analysed using logistic regression and Poisson regression models, respectively, adjusted by HI, sex, comorbidity and age. We estimated the combined mediation effect of HI and comorbidity on the prevalence of dementia associated with gender.

RESULTS

Of the 221,777 individuals, 3.85% (8,549) had a diagnosis of dementia as of 31 December 2021. Classification by the CCI showed a gradient with 2.90% in CCI 0-1, 10.60% in CCI 2-3 and 18.01% in CCI > 3. Both low HI and gender were associated with a higher crude prevalence of dementia. However, in the CCI-adjusted model, women had an increased risk of dementia, while HI was no longer statistically significant. The incidence analysis produced similar results, although HI was not significant in any model. The CCI was significantly higher for men and for people with low HI. The mediation was statistically significant, and the CCI and HI explained 79% of the gender effect.

CONCLUSIONS

Comorbidity and low HI act as mediators in the increased risk of dementia associated with female sex. Given the difference in the prevalence of comorbidities by HI, individual interventions to control comorbidities could not only prevent dementia but also reduce inequalities, as the risk is greater in the most disadvantaged population.

Cognition in vestibular disorders: state of the field, challenges, and priorities for the future

Vestibular disorders are prevalent and debilitating conditions of the inner ear and brain which affect balance, coordination, and the integration of multisensory inputs. A growing body of research has linked vestibular disorders to cognitive problems, most notably attention, visuospatial perception, spatial memory, and executive function. However, the mechanistic bases of these cognitive sequelae remain poorly defined, and there is a gap between our theoretical understanding of vestibular cognitive dysfunction, and how best to identify and manage this within clinical practice. This article takes stock of these shortcomings and provides recommendations and priorities for healthcare professionals who assess and treat vestibular disorders, and for researchers developing cognitive models and rehabilitation interventions. We highlight the importance of multidisciplinary collaboration for developing and evaluating clinically relevant theoretical models of vestibular cognition, to advance research and treatment.

Dementia Prevention Guidelines Should Explicitly Mention Deprivation

The brain requires sustained interaction with a rich physical and social environment to stay healthy. Individuals without access to such enabling environments and who instead live and grow in disabling environments tend to have greater risk of developing dementia. But research and policymaking as regards dementia risk reduction have so far focused almost exclusively on the role of how individuals' health behaviors change their risk profile. This exclusive focus on "lifestyle" is both ethically problematic and therapeutically inadequate. I highlight a growing literature on three different kinds of deprivation, an independent and overlooked risk factor for dementia that invites upstream action against inequalities. Future prevention guidelines should include explicit mention of deprivation as a risk factor and be developed around the need to make society fairer. Meanwhile, interventions and discourse based on lifestyle modification should respect the principle of "no ought without support."

The iceberg of dementia risk: empirical and conceptual arguments in favor of structural interventions for brain health

While pharmacological interventions for dementia struggle to demonstrate improved outcomes for patients and at-risk populations, non-pharmacological lifestyle interventions have been proposed as a tool to achieve dementia risk reduction. In this review, it is argued that lifestyle modification alone is a surface-level intervention from the point of view of fair and far-reaching dementia prevention. Below the tip of this "iceberg of dementia risk," there are living conditions and social structures that represent deeper contributions to risk in the population. It is argued that alongside lifestyle modification, activist research and structural interventions are needed to make our society fairer and more dementia-resilient.

Estimating the prevalence of diagnosed Alzheimer disease in England across deprivation groups using electronic health records: a clinical practice research datalink study

OBJECTIVE

Estimate the prevalence of diagnosed Alzheimer's disease (AD) and early Alzheimer's disease (eAD) overall and stratified by age, sex and deprivation and combinations thereof in England on 1 January 2020.

DESIGN

Cross-sectional.

SETTING

Primary care electronic health record data, the Clinical Practice Research database linked with secondary care data, Hospital Episode Statistics (HES) and patient-level deprivation data, Index of Multiple Deprivation (IMD).

OUTCOME MEASURES

The prevalence per 100 000 of the population and corresponding 95% CIs for both diagnosed AD and eAD overall and stratified by covariates. Sensitivity analyses were conducted to assess the sensitivity of the population definition and look-back period.

RESULTS

There were 448 797 patients identified in the Clinical Practice Research Datalink that satisfied the study inclusion criteria and were eligible for HES and IMD linkage. For the main analysis of AD and eAD, 379 763 patients are eligible for inclusion in the denominator. This resulted in an estimated prevalence of diagnosed AD of 378.39 (95% CI, 359.36 to 398.44) per 100 000 and eAD of 292.81 (95% CI, 276.12 to 310.52) per 100 000. Prevalence estimates across main and sensitivity analyses for the entire AD study population were found to vary widely with estimates ranging from 137.48 (95% CI, 127.05 to 148.76) to 796.55 (95% CI, 768.77 to 825.33). There was significant variation in prevalence of diagnosed eAD when assessing the sensitivity with the look-back periods, as low as 120.54 (95% CI, 110.80 to 131.14) per 100 000, and as high as 519.01 (95% CI, 496.64 to 542.37) per 100 000.

CONCLUSIONS

The study found relatively consistent patterns of prevalence across both AD and eAD populations. Generally, the prevalence of diagnosed AD increased with age and increased with deprivation for each age category. Women had a higher prevalence than men. More granular levels of stratification reduced patient numbers and increased the uncertainty of point prevalence estimates. Despite this, the study found a relationship between deprivation and prevalence of AD.

Epidemiology of neurocognitive disorders in adults from urban-marginalized areas: a door-to-door population-based study in Puente Piedra, Lima, Peru

Background

In Latin America (LA), the prevalence of dementia is expected to triple to 150 million people by 2050. The 2020 Lancet Commission report identified several modifiable dementia risk factors, yet few social and environmental factors, most relevant to vulnerable regions of LA, were highlighted in this report. We sought to assess the epidemiology of neurocognitive disorders (NCD) in Puente Piedra, one of the most socially and economically vulnerable districts of Lima, the capital of Peru.

Methodology

This was a cross-sectional door-to-door observational study that used two-stage household sampling. One young adult (30-59 years) and one older adult (>60 years) per household were enrolled. We collected demographic, clinical, and neurocognitive data. Addenbrooke's Cognitive Examination (young adults) and the RUDAS-PE (older adults) were used, classifying participants as cognitively normal, possible mild NCD, or possible major NCD.

Results

We enrolled 247 participants (median age 46 years; 67% female). One-fourth had not completed secondary school and more than 50% completed only secondary school. Most participants were housewives (46%) and 21% did not have health insurance. The overall prevalence of possible NCD was 30% (25.6 and 41.8% among younger adults and older adults, respectively). Among younger adults, those ages 55-59 years more frequently had NCD (70%) compared to younger age ranges. Among older adults, only 3 subjects (4.5%) had major NCD.

Conclusion

We found a high frequency of possible NCDs in a socially and economically vulnerable community in Lima, Peru, with younger adults showing levels of NCD higher than expected. Our findings support the need for health systems to incorporate cognitive screenings programs for NCD in younger ages. Future research on NCD would include younger populations, particularly in vulnerable communities.

Has COVID-19 affected dementia diagnosis rates in England?

BACKGROUND

The COVID-19 pandemic impacted on the provision of care and routine activity of all National Health Service (NHS) services. While General Practitioner referrals to memory services in England have returned to pre-pandemic levels, the estimated dementia diagnosis rate (DDR) fell by 5.4% between March 2020 and February 2023.

METHODS

In this paper we explore whether this reduction is accurate or is an artefact of the way the NHS collects data.

RESULTS

We explore the processes that may have affected national dementia diagnosis rates during and following the COVID-19 pandemic.

CONCLUSIONS

We discuss what action could be taken to improve the DDR in the future.