Health And Retirement Study Research Articles

Personality and cardiovascular mortality risk: a multi-cohort analysis in individuals with and without pre-existing cardiovascular disease

AbstractThis study investigated the associations between personality traits of the Five Factor Model and cardiovascular mortality, with a specific focus on whether pre-existing cardiovascular conditions modified these associations. We used data from 43,027 participants across five cohort studies: Health and Retirement Study (HRS); Wisconsin Longitudinal Study (WLS); National Social Life, Health, and Aging Project (NSHAP); Midlife in the United States (MIDUS); Household, Income, and Labour Dynamics in Australia (HILDA) with a mean age 55.9 years and 6493 individuals with pre-existing cardiovascular disease. We conducted meta-analyses examining conscientiousness, emotional stability, agreeableness, openness to experience, and extraversion in relation to mortality due to coronary heart disease and stroke. During a mean follow-up of 12.1 years, 1620 participants died from coronary heart disease and 454 from stroke. Lower conscientiousness was associated with higher mortality risk from both coronary heart disease (hazard ratio per 1SD = 0.82, 95%CI = 0.75–0.90) and stroke (HR = 0.84, CI = 0.72–0.99). Lower emotional stability predicted increased coronary heart disease mortality (HR = 0.91, CI = 0.85–0.97). The association between conscientiousness and cardiovascular mortality did not differ between individuals with or without baseline cardiovascular conditions. In addition, adjustments for health behaviors and other covariates only slightly attenuated this association. Other personality traits were not associated with cardiovascular disease mortality. Our findings highlight the role of low conscientiousness, and to a lesser extent low emotional stability, in the development and progression of fatal cardiovascular disease through pathways that may extend beyond established health behaviors.

Analyzing Potential Non-Ignorable Selection Bias in an Off-Wave Mail Survey Implemented in a Long-Standing Panel Study

Abstract Typical design-based methods for weighting probability samples rely on several assumptions, including the random selection of sampled units according to known probabilities of selection and ignorable unit nonresponse. If any of these assumptions are not met, weighting methods that account for the probabilities of selection, nonresponse, and calibration may not fully account for the potential selection bias in a given sample, which could produce misleading population estimates. This analysis investigates possible selection bias in the 2019 Health Survey Mailer (HSM), a sub-study of the longitudinal Health and Retirement Study (HRS). The primary HRS data collection has occurred in “even” years since 1992, but additional survey data collections take place in the “off-wave” odd years via mailed invitations sent to selected participants. While the HSM achieved a high response rate (83 percent), the assumption of ignorable probability-based selection of HRS panel members may not hold due to the eligibility criteria that were imposed. To investigate this possible non-ignorable selection bias, our analysis utilizes a novel analysis method for estimating measures of unadjusted bias for proportions (MUBP), introduced by Andridge et al. in 2019. This method incorporates aggregate information from the larger HRS target population, including means, variances, and covariances for key covariates related to the HSM variables, to inform estimates of proportions. We explore potential non-ignorable selection bias by comparing proportions calculated from the HSM under three conditions: ignoring HRS weights, weighting based on the usual design-based approach for HRS “off-wave” mail surveys, and using the MUBP adjustment. We find examples of differences between the weighted and MUBP-adjusted estimates in four out of ten outcomes we analyzed. However, these differences are modest, and while this result gives some evidence of non-ignorable selection bias, typical design-based weighting methods are sufficient for correcting for it and their use is appropriate in this case.

Association between healthy lifestyle on life course and multimorbidity in adults: results from two national prospective cohort studies

ObjectivesTo examine the correlation between healthy lifestyle patterns, their change trajectories, and the risk of multimorbidity in adults.MethodsBased on two representative national cohorts, the English Longitudinal Study of Aging (ELSA) and the Health and Retirement Study (HRS) including adults aged 50 years and over. We employed Cox regression, lifestyle change trajectories, and restricted mean survival times to explore the relationship between lifestyle (assessed by SCORE2, LE’8, and HLS scores) and multimorbidity. We also conducted mediation analysis to investigate the underlying mechanisms.ResultsA healthy lifestyle (higher LE’8, higher HLS, or lower SCORE2) can reduce the risk of multimorbidity. 2-10% lower multimorbidity risk per one-point increase in LE’8 and HLS. The hazard ratio of multimorbidity for improvements in unhealthy lifestyles or deterioration in healthy lifestyles compared to always healthy lifestyles ranged from 1.598 to 5.602. Besides, for LE’8 and HLS, participants with higher scores had a slower decrease in survival probability in ELSA. Triglyceride, C-reaction protein, fibrinogen, and cystatin C partly mediate the association between lifestyle and multimorbidity.ConclusionsKeeping a healthy lifestyle over time can help reduce the risk of multimorbidity.

Retirement Transition Sequences and Well-Being Among Older Workers Focusing on Gender Differences

ABSTRACT This study examines retirement transition patterns and well-being in later life, focusing on gender differences using data from the 2004–2016 Health and Retirement Study (HRS) with 1,653 older workers. Sequence analysis identifies key retirement patterns, showing that men predominantly transitioned from full-time to mid-time voluntary retirement, while women experienced more gradual involuntary retirement. Involuntary retirees, both men and women, had precarious work histories and poorer mental health. The findings highlight gender-specific implications for social policy and emphasize the need for support in promoting successful aging and reducing social inequities among involuntary retirees.

Sex-specific dementia risk in known or suspected obstructive sleep apnea: A 10-year longitudinal population-based study

Abstract Study Objective To evaluate sex-specific associations between known or suspected OSA and dementia risk over 10-years among older women and men. Methods This study included 18,815 women and men age 50+ years (dementia-free at baseline) who participated in the Health and Retirement Study (HRS), a nationally representative cohort of US adults. Presence of OSA was defined by self-reported diagnosis or key HRS items that correspond to elements of a validated OSA screening tool (STOP-Bang). Incident dementia cases were identified using a validated, HRS-based algorithm derived from objective cognitive assessments. Survey-weighted regression models based on pseudo-values were utilized to estimate sex- and age-specific differences in cumulative incidence of dementia by OSA status. Results Data from 18,815 adults were analyzed, of which 9% of women and 8% of men (weighted proportions) met criteria for incident dementia. Known/suspected OSA was more prevalent in men than in women (weighted proportions 68% vs. 31%). Unadjusted sex-stratified analyses showed that known/suspected OSA was associated with higher cumulative incidence of dementia across ages 60–84 years for women and men. By age 80, relative to adults without known/suspected OSA, the cumulative incidence of dementia was 4.7% higher (CI 2.8%,6.7%) for women with known/suspected OSA, and 2.5% (CI 0.5%,4.5%) for men with known/suspected OSA, respectively. Adjusted associations between age-specific OSA and cumulative incidence of dementia attenuated for both women and men but remained statistically significant. Discussion OSA contributes to dementia risk in older adults, particularly women. This study illuminates the impact of a potentially modifiable yet frequently overlooked risk factor for dementia onset.

Neighborhood Stressors and Epigenetic Age Acceleration among Older Americans.

Exposure to stressful neighborhood environments is a well-established risk factor for health deterioration and premature death. However, the biological underpinnings are not fully understood. Epigenetic aging may function as a key molecular pathway to adverse health outcomes among residents of high-stress neighborhoods. This study examines the associations between neighborhood social stressors (socioeconomic deprivation, observed and perceived disorder, and low social cohesion) and epigenetic age (DunedinPACE and Principal component adjusted (PC) PCHorvath, PCHannum, PCPhenoAge, PCGrimAge). Further, we identify sub-populations most vulnerable to neighborhood stressors. Respondent data are from the 2016 Health and Retirement Study (HRS) DNA Methylation subsample. Neighborhood data come from respondent reports (2014/2016) and the census (2012-2016 ACS). The analytic sample included 3,146 adults ages 56 and older (mean age=68.8), of whom 54.9% were women and 19.3% were non-white. In multilevel regression models adjusting for sociodemographic covariates, all neighborhood stressors were associated with faster DunedinPACE (B=0.008 to 0.017). Neighborhood deprivation, perceived disorder, and low cohesion were associated with PCPhenoAge (B=0.27 to 0.40) or PCGrimAge acceleration (B= 0.23). Health behaviors explained these associations to some degree. However, no significant associations were found with PCHorvath and PCHannum. In interaction analyses, adverse associations with deprivation, observed disorder, and low cohesion were more pronounced for women. No consistent interactions were found for race/ethnic and education groups. Our findings indicate that neighborhood stressors can accelerate epigenetic aging, with older women particularly vulnerable to their effects. These findings provide insights into the biological foundations of health disparities rooted in neighborhood environments.

Associations between Loneliness, Epigenetic Aging, and Multimorbidity through Older Adulthood.

Loneliness is a pressing public health concern, but the mechanisms by which it leads to declining physical health are uncertain. Prior work has begun to explore epigenetic pathways, with some evidence suggesting a link between loneliness and DNA methylation, though it is unclear whether epigenetic variation can help explain loneliness-health associations. Associations between loneliness and epigenetic age acceleration (EAA) were estimated, as well as the degree to which EAA mediated and moderated the association between loneliness and the development of chronic physical health conditions (multimorbidity) in older adulthood. The sample consisted of Health and Retirement Study (HRS) participants who provided blood draws and consented to methylation profiling (n=4,018). Baseline loneliness was associated with greater EAA in the GrimAge measure net of demographic and behavioral covariates (β=0.07, p=.003). Loneliness and GrimAge each predicted increasing condition counts, but there was no evidence of an interactive effect. The association between loneliness and increasing condition counts was, however, significantly mediated by GrimAge (indirect path β=0.020, p=.003). These results suggest that the impact of loneliness on multimorbidity may, in part, operate through DNA methylation. The specific intermediary, physiological mechanisms that are involved will require further research, but EAA measures like GrimAge are promising in helping to understand the health impacts of loneliness.

Projecting the Likely Impact of COVID-19 Infections on the Prevalence of Dementia in the United States.

The association between COVID-19 infection and the onset of dementia among adults 65 years and older has the potential to increase the burden of dementia worldwide significantly. Our research, which focuses on understanding the likely increase in the burden of dementia due to COVID-19 infection in the USA, has crucial public policy implications. By providing these insights, we aim to empower policymakers, healthcare professionals, researchers, and public health officials to make informed decisions and plan for the future. Project the prevalence of dementia in the United States while accounting for the impact of COVID-19 infection on the onset of dementia. A dynamic multi-state population model was developed. The model was initialized with USA demographic data and estimates of age, gender, and race-specific transition rates from the Health and Retirement Study (HRS). The projected increase in the burden of dementia among Americans 65 years and older is a staggering 14.838 million by 2050. However, due to the COVID-19 pandemic, we anticipate an additional 265,000 to 677,000 older adults 65 years and older will be affected by dementia. This will escalate the burden of dementia to a potential 15.103 million to 15.515 million by 2050, a significant human toll that we must be prepared for. The projected dementia numbers underscore the urgent need for policy and intervention in social care services and healthcare needs planning. This includes providing robust support systems for caregivers and ensuring the healthcare staff is adequately trained to meet the healthcare needs of dementia patients and their families.

Target trial emulation using cohort studies: estimating the effect of antihypertensive medication initiation on incident dementia.

Observational studies link high midlife systolic blood pressure to increased dementia risk. However, synthesis of evidence from randomized controlled trials has not definitively demonstrated that antihypertensive medication use reduces dementia risk. Here, we emulate target trials of antihypertensive medication initiation on incident dementia using three cohort studies, with attention to potential violations of necessary assumptions. We emulated trials of antihypertensive medication initiation on incident dementia using data from the Atherosclerosis Risk in Communities (ARIC) study, Cardiovascular Health Study (CHS), and Health and Retirement Study (HRS). We used data-driven methods to restrict participants to initiators and non-initiators with overlap in propensity scores and positive control outcomes to look for violations of positivity and exchangeability assumptions. Analyses were limited by the small number of cohort participants who met eligibility criteria. Associations between antihypertensive medication initiation and incident dementia were inconsistent and imprecise (ARIC: HR = 0.30 [0.05, 1.93]; CHS: HR = 0.66 [0.27, 1.64]; HRS: HR = 1.09 [0.75, 1.59]). More stringent propensity score restriction had little effect on findings. Sensitivity analyses using a positive control outcome unexpectedly suggested antihypertensive medication initiation increased risk of coronary heart disease in all three samples. Positive control outcome analyses suggested substantial residual confounding in effect estimates from our target trials, precluding conclusions about the impact of antihypertensive medication initiation on dementia risk through target trial emulation. Formalized processes for identifying violations of necessary assumptions will strengthen confidence in target trial emulation and avoid inappropriate confidence in emulated trial results.

Associations of socioeconomic status and healthy lifestyle with incident dementia and cognitive decline: two prospective cohort studies

Little is known about the complex associations of socioeconomic status (SES) and healthy lifestyle with cognitive dysfunction. Using data from the Health and Retirement Study (HRS) [2008-2020] and the English Longitudinal Study of Ageing (ELSA) [2004-2018], SES was constructed by latent class analysis using education level, total household income and wealth. Overall healthy lifestyle was derived using information on never smoking, low to moderate alcohol consumption (drinks/day: (0, 1] for women and (0, 2] for men), top tertile of physical activity, and active social contact. A total of 12,437 and 6565 participants from the HRS and ELSA were included (40.8% and 46.0% men and mean age 69.3 years and 65.1 years, respectively). Compared with participants of high SES, those of low SES had higher risk of incident dementia (hazard ratio 3.17, 95% confidence interval 2.72-3.69 in the HRS; 1.43, 1.09-1.86 in the ELSA), and the proportions mediated by overall lifestyle were 10.4% (7.3%-14.6%) and 2.7% (0.5%-14.0%), respectively. Compared with participants of high SES and favorable lifestyle, those with low SES and unfavorable lifestyle had a higher risk of incident dementia (4.27, 3.40-5.38 in the HRS; 2.02, 1.25-3.27 in the ELSA) and accelerated rate of global cognitive decline (β=-0.058 SD/year; 95% CI:-0.073,-0.043 in the HRS; β=-0.049 SD/year; 95% CI:-0.063,-0.035 in the ELSA). Unhealthy lifestyle only mediated a small proportion of the socioeconomic inequality in dementia risk in both US and UK older adults. This work was supported by grants from the National Natural Science Foundation of China (82088102 and 82370819), the National Key R&D Program of China (2023YFC2506700), the Shanghai Municipal Government (22Y31900300), the Shanghai Clinical Research Center for Metabolic Diseases (19MC1910100), the Innovative Research Team of High-Level Local Universities in Shanghai, the Special Project for Clinical Research in Health Industry of Shanghai Municipal Health Commission (202340084), and Ruijin Hospital Youth Incubation Project (KY20240805). Y.X. is supported by the National Top Young Talents program.

Socioeconomic inequalities in frailty distribution: A cross-national comparison of the United States and England.

To examine differences in socioeconomic gradients (i.e., education, income, and wealth) in frailty by gender in the US and England. We used harmonized data from the Health and Retirement Study (HRS) and the English Longitudinal Study of Ageing (ELSA) in 2016. Frailty status was determined from measured and self-reported signs and symptoms in five domains: unintentional weight loss, exhaustion, low physical activity, slow walking speed, and weakness. Respondents were classified as robust (no signs or symptoms of frailty), pre-frail (signs or symptoms in 1-2 domains), or frail (signs or symptoms in 3 or more domains). Gender-stratified multinomial logistic regression models were used to assess the relationship between educational attainment, household income, and household wealth with the risk of frailty and pre-frailty, with and without covariates. We also calculated the slope index of inequalities on the predicted probabilities of frailty by income and wealth quintiles. We found socioeconomic gradients in pre-frailty and frailty by education, income, and wealth. Furthermore, the educational gradient in frailty was significantly steeper for US women compared to English women, and the income gradient was steeper for US men and women compared to English men and women. The between-country differences were not accounted for by adjusting for race/ethnicity and behavioral factors. Socioeconomic gradients in pre-frailty and frailty differ by country setting and gender, suggesting contextual factors such as cultural norms, healthcare access and quality, and economic policy may contribute to the effect of different measures of socioeconomic status on pre-frailty and frailty risk.

The associations of socioeconomic status, social activities, and loneliness with depressive symptoms in adults aged 50 years and older across 24 countries: findings from five prospective cohort studies

Depression is the leading cause of mortality among mental health disorders. Evidence about the associations of socioeconomic status, social activities, and loneliness with depression is scarce. We aimed to identify whether social activities and loneliness mediate the association between socioeconomic status and depression, and the extent of interactive or joint relationships between social activities, loneliness, and socioeconomic status on depression. In this population-based, cross-national cohort study we used data from five nationally representative surveysacross 24countries between Feb 15, 2008, and Feb 27, 2019: the Health and Retirement Study (HRS); theEnglish Longitudinal Study of Ageing (ELSA); the Survey of Health, Ageing and Retirement in Europe (SHARE); theChina Health and Retirement Longitudinal Study (CHARLS); and the Mexican Health and Ageing Study (MHAS). We included participants who were aged 50years and older with reported information on socioeconomic status, social activities, and loneliness at baseline, and who had been assessed at least twice. We excluded participants with depressive symptoms at baseline; those with missing data on depressive symptoms and covariates; and those lost to follow-up. We defined socioeconomic status as high and low using latent class analysis based on family income, education, and employment status. Depression was assessed using the Center for Epidemiological Studies Depression Scale (CES-D) or EURO-D. We applied Cox proportional hazard models to estimate the association of socioeconomic status with depression. We used random-effects models to obtain pooled results. Joint and interactive effects of socioeconomic status, social activities, and loneliness on depression were explored, and the mediating roles of social activities and loneliness in the association between socioeconomic status and depression were explored using causal mediation analysis. A total of 69 160participants were included in our study and, during a median follow-up of 5years, a total of 20 237participants developed depression with a pooled incidence of 7·2 (95% CI 4·4-10·0) per 100 person-years. Compared with participants with high socioeconomic status, those with low socioeconomic status had a higher risk of depression (pooled hazard ratio [HR] 1·34; 95% CI 1·23-1·44). The proportion of the associations between socioeconomic status and depression mediated by social activities and loneliness were 6·12% (1·14-28·45) and 5·54% (0·71-27·62), respectively. We only observed a significant multiplicative interaction of socioeconomic status and loneliness with depression (pooled HR 0·84; 0·79-0·90). Compared with participants with high socioeconomic status and who were socially active and not lonely, those with low socioeconomic status and who were socially inactive and lonely had a higher risk of depression (pooled HR 2·45; 2·08-2·82). Social inactivity and loneliness positively mediated a small proportion of the association between socioeconomic status and depression, indicating that other approaches in addition to interventions targeting social isolation and loneliness are required to mitigate the risk of depression in older adults. Additionally, the joint effects of socioeconomic status, social activities, and loneliness highlight the benefits of simultaneous and integrated interventions to reduce the global burden of depression. National Natural Science Foundation of China.

Grandparenting and Physical Activity.

Objective: The aim of this study was to examine a continuum of grandparenting intensity and its association with physical activity using three perspectives: grandparents are active, the more constraints perspective, and the selection bias perspective. Method: We use 2014 data from the Health and Retirement Study (HRS), a nationally-representative panel study of the US population over the age of 50 and their spouses (n = 17,851). Results: We found that greater grandparenting intensity was inversely associated with physical activity, providing support for both the more constraints perspective and the selection bias perspective. Discussion: We discuss the implications of inequality in which the most advantaged with physical activity are those who were either not grandparents, or grandparents who provided less care.

Perceived Financial Vulnerability, Wealth, and Wealth Change: The Health and Retirement Study

ABSTRACT Objectives The 6-item Perceived Financial Vulnerability (PFV) scale assesses awareness and psychological vulnerability regarding finances. Prior findings using the Health and Retirement Study (HRS) identified significant associations of PFV with wealth, demographics, and health status. This study examines the relationship between wealth, changes in wealth, and PFV. Methods Data from HRS respondents were analyzed (N = 1,056). Total assets at baseline (2016) and changes in total assets over two waves (2016 to 2018) were stratified into deciles and used as primary predictors of PFV in 2018. Multiple linear regression models examined the influence of demographics, wealth change (linearly and curvilinearly), and baseline wealth on PFV. Results Wealth change and baseline wealth were associated with PFV. When controlled for baseline wealth, wealth loss linearly predicted increased PFV. Conclusions These findings support the utility of the PFV. Findings underscore the importance of integrating multifaceted financial and demographic information when conceptualizing subjective financial welfare. Clinical Implications Financial wellbeing is crucial in older clients and should be assessed over time. The 6-item PFV effectively evaluates contextual aspects of financial decision-making across socioeconomic statuses, making it valuable for clinical assessments.

Marital Status and Advance Care Planning Among Older Adults: Do Gendered Patterns Vary by Age?

Advance care planning (ACP), which comprises a living will, durable power of attorney for healthcare (DPAHC), and end-of-life discussions, is an inherently relational process. However, it is unclear how marital status affects men's and women's ACP over the life course. Drawing on social control and gender-as-relational frameworks, we examine marital status differences in ACP and how these patterns differ by gender and age. Data are from the 2020 Health and Retirement Study (HRS), a representative sample of U.S. older adults (N = 7,074). We estimate logistic regression models to evaluate whether marital status differences in ACP are moderated by age and gender, and multinomial logistic regressions to examine age and gender differences in DPAHC designations among married parents. Analyses are adjusted for sociodemographic and health covariates. Multivariable analyses revealed significant moderation effects for discussions only. Among married/cohabiting persons, women are more likely than men to have end-of-life discussions, with genderdifferences diminishing slightly at oldest ages. Among divorced persons in their 60s and 70s, women are much more likely than men to have had discussions, although this gap converges among the oldest-old. Conversely, young-old widowed men and women are equally likely to have discussions, although women are increasingly likely to do so with advancing age. Men are more likely than women to name their spouse as DPAHC, yet this gap diminishes with age. Healthcare providers can better guide end-of-life consultations if they understand how men's and women's family relationships change with advancing age.

Association between depressive duration and cognitive decline in middle-aged and older adults: Evidence from the Health and Retirement Study 2010–2018

BackgroundDepression has been found to be associated with cognitive decline, but whether longer depressive durations lead to more severe cognitive declines has not been investigated. We aimed to estimate the association between depressive duration and cognitive decline in middle-aged and older Americans based on a large-scale representative population study. MethodsWe included 27,886 participants from the Health and Retirement Study (HRS) in 2010–2018. Four datasets with 2-, 4-, 6-, and 8-year consecutive interviews were further derived which involving persistent depressed and persistent depression-free individuals. Multiple linear regressions were constructed to estimate the effects of each depressive duration on the decline in global cognition, memory and mental status. Meta-regressions were performed to test the linear trends and to explore the heterogeneity between sex, age and baseline cognitive function along with subgroup analyses. ResultsDepressive durations of 2, 4, 6, and 8 years were associated with reductions in global cognitive scores of 0.62 points (95% CI: 0.51–0.73), 0.77 points (95% CI: 0.60–0.94), 0.83 points (95% CI: 0.55–1.10), and 1.09 points (95% CI: 0.63–1.55), respectively, indicating a linear trend (P = 0.016). More pronounced associations were observed in middle-aged adults and females. Similar patterns were found in the associations between depressive duration and two subdomains, i.e., memory and mental health. LimitationsThis study is essentially a cross-sectional study and therefore cannot provide causal associations. ConclusionsLonger depressive durations were linearly related to more severe cognitive declines. Timely intervention for depression targeted middle-aged adults can more effectively alleviate cognition-related burdens.

Unraveling the dynamics of loneliness and cognition in late life: a cross-lagged panel model.

Loneliness and cognitive decline are pressing concerns among older adults, yet little research has explored cognition as a predictor of loneliness. This study investigates the dynamic relationship between loneliness and cognitive function in older adults using the random intercept cross-lagged panel model (RI-CLPM). Data were drawn from Waves 9-14 of the Health and Retirement Study (HRS), encompassing 8,473 individuals aged 65 years and older. Loneliness was assessed using the UCLA Loneliness Scale, and cognitive function was measured using immediate and delayed word recall and serial 7s from the HRS RAND file. Age, gender, education, marital status, self-health report, and depression were included as covariates. Using Mplus, we computed RI-CLPMs. The first three models were conducted on loneliness and cognitive functions. Then unconditional RI-CLPMs with no exogenous predictors were computed. Three conditional model results showed that age, gender, marital status, self-health report, and depression were significantly associated with loneliness in the first wave, but only age and self-health report were significantly associated with immediate and delayed word recall at the first wave, not with serial 7s. For carry-over effects, loneliness showed significant positive associations across consecutive waves, but cognitive functions showed significant positive associations just in the last two waves. Some spill-over effects were found between loneliness and cognitive functions. For within-person effects, although initially non-significant, a negative association between loneliness and immediate and delayed word recall emerged in later waves (11-12 and 13-14). The conditional models indicated that older age, not being married, male gender, low self-reported health, and high depression levels were positively associated with loneliness. However, only older age and lower self-reported health were positively linked to cognitive functions. This study underscores the link between loneliness and cognitive function decline in older adults, emphasizing the need to address loneliness to potentially reduce cognitive decline. Insights into demographic predictors of loneliness and cognitive function could inform targeted interventions for promoting successful aging.

Trajectories of pain and their associations with long-term cognitive decline in older adults: evidence from two longitudinal cohorts.

Pain is a dynamic experience that varies over time, but it remains unknown whether trajectories of pain are associated with subsequent cognitive decline. The purpose of this study was to identify distinct trajectories of pain presence and activity-limiting pain and investigate their longitudinal associations with the rate of subsequent cognitive decline in older adults. A total of 5685 participants from the English Longitudinal Study of Ageing (ELSA) and 7619 participants from the Health and Retirement Study (HRS) were included. Pain presence trajectories were identified over eightyears in the ELSA and 10years in the HRS, while trajectories of activity-limiting pain were identified over 10years in the HRS. We utilised linear mixed-effects models to investigate the long-term relationship between pain trajectories and the rate of cognitive decline across various domains, including memory, orientation, executive function and global cognition. Three pain presence trajectories were identified. Moderate-increasing and high-stable groups exhibited steeper declines in global cognition than the low-stable group. Furthermore, individuals in the moderate-increasing group experienced a more rapid decline in executive function, while the high-stable group showed a faster decline in orientation function. Two trajectories of activity-limiting pain were identified, with the moderate-increasing group experiencing a faster decline in orientation function and global cognition. The trajectories of both pain presence and activity-limiting pain are linked to the rate of subsequent cognitive decline among older people. Interventions for specific pain trajectories might help to delay the decline rate of cognition in specific domains.

Association between days spent at home and functional status and health among persons living with dementia.

Many persons living with dementias (PLWD) prefer to remain at home as long as possible, and days spent at home (DAH)-defined as the time an individual spends outside of healthcare facilities-has emerged as a person-centred outcome measure in this population. We examined the association between DAH and functional status and health among PLWD. Utilizing a nationally representative cohort of individuals age 65 and older in the United States with dementia from the 2010-2018 Health and Retirement Study (HRS), we assessed the relationship between an ordinal categorical DAH variable and number of activities of daily living (ADLs) (range 0-10; 10 being independent), mobility (0-5; 5 being mobile), and self-rated health (SRH) (0-4; 4 being excellent), controlling for patient characteristics. DAH was defined as the number of self-reported days spent outside a hospital or nursing home in the time between survey waves, typically 730days. We identified 3002 participants (4192 observations, average 1.4 observations per participant). The mean DAH was 704.4days (SD 10.8days) and 64.9% spent all days at home (i.e. 730days). A 2-week decrease in DAH was associated with a lower ADL score by 0.32 points (95% confidence internal [CI]: 0.24-0.40, P-for-trend<0.001), a lower mobility score by 0.18 points (95% CI: 0.13-0.22, P-for-trend<0.001), and a lower SRH by 0.05 points (95% CI: 0.02-0.08, P-for-trend<0.001). We demonstrate that DAH is positively associated with important patient-reported outcomes among the dementia population, strengthening the argument for considering DAH as a meaningful outcome measure for PLWD.

Evaluating the health outcomes of aging in place: the role of medicaid aging waiver program on U.S. older adults

The Medicaid Aging Waiver program (MAW) subsidizes the cost of long-term care (LTC) at home or in communities to satisfy older people’s increasing desire to age in place. The MAW program might be health improving for older people by allowing them to age at home. However, less quality and quantity of home-based care comparing to nursing home care could offset some of the potential benefits. I use policy expenditure across states over time linked with detailed health information from the Health and Retirement Study (HRS) to identify the associated effects of MAWs on health outcomes of older adults who are at risk of needing LTC and who are resources constrained to be potentially eligible for Medicaid. Overall, the findings suggest that the MAW program is beneficial to health: a $1,000 increase in MAW spending for each older person results is associated with a 1.4 percent improvement in self-reported health status, a 1.5 percent reduction in functional mobility limitations, a 1.6 percent decrease in Instrumental Activities of Daily Living (IADL) limitations, and a 1.7 percent improvement in negative psychological feelings. For older people who are most likely not eligible for MAWs, such as those who are wealthy or in good health and do not require LTC, these health-improving effects have not been observed.