Existing evidence on the relationship between parity and women's later-life depression was inconsistent. We aimed to examine the association of parity with depression in women's mid-late life, and to evaluate whether such association differs by socioeconomic status (SES). We used data of 9508 women from two nationally representative cohort studies: China Health and Retirement Longitudinal Study and US Health and Retirement Study. Participants were followed up from 2011 or 2012 (baseline) to 2018. Parity was the number of biological children; depression symptoms were measured using Center for Epidemiologic Studies Depression Scale. Logistic regression models were used to assess the association between parity status and depression. A total of 4291 women had depression at baseline, and 1804 women developed depression during follow-up. Compared to women with one child, those with no children had higher odds of baseline depression (odds ratio [OR] = 1.25, 95 % confidence interval [CI] = 1.00-1.56) and developing depression (OR = 1.98, 95 % CI = 1.41-2.79) during follow-up. For multiparous women, a higher parity was associated with higher prevalence and incidence of depression, with the odds of incident depression ranging from 1.49 (95 % CI = 1.22-1.82) to 1.86 (95 % CI = 1.47-2.34) for having two children to ≥4 children. Such associations were more evident among women with high and upper-middle SES, with the odds of incident depression increasing from 1.91 (95 % CI = 1.45-2.51) for women with two children to 2.65 (95 % CI = 1.87-3.78) for women with ≥4 children. However, these associations were not observed among women in low and lower-middle SES group. Our findings underscore that healthcare practice should consider reproductive histories and social context when addressing women's mental health issues.

Previous research has shown poor oral health and neighborhood environment are both risk factors for cognitive decline among older adults. Little research has assessed the synergistic effects of poor oral health and neighborhood environment on cognitive health. This study examined whether neighborhood environment moderates the relationship between edentulism and cognitive function over time.

Using data from the Health and Retirement Study, we analyzed 9,994 adults aged 60 and older with 39,976 person-wave observations over 14 years (2006-2020). Cognitive function was measured using the modified Telephone Interview for Cognitive Status. Edentulism status was self-reported complete tooth loss. Neighborhood environment included perceived neighborhood cohesion and disorder. We used linear mixed-effect models to examine the moderation effect of neighborhood environment on the association between edentulism and cognitive function over time.

Edentulous participants (22.4 %) showed an accelerated decline over time in cognitive function compared to dentate participants (β = -0.57, 95 % CI: -0.98, -0.16). The analysis revealed that neighborhood cohesion moderated the relationship between edentulism and cognitive function over time (β = 0.08, 95 % CI: 0.01, 0.15). Specifically, among individuals reporting higher neighborhood cohesion, the negative effect of edentulism on cognitive decline was attenuated. Neighborhood disorder had no significant associations with cognitive function.

This study demonstrates the relationship between edentulism and cognitive function varies by levels of neighborhood cohesion. The findings highlight the significance of neighborhood context in understanding the relationship between oral health and cognitive aging and suggest interventions addressing community environment may be particularly relevant for older adults with oral health challenges.

BackgroundSimulation modeling is a promising tool to help policy makers and providers make evidence-based decisions when evaluating integrated care programs. The functionality of such models, however, depends on 2 prerequisites: 1) the analytical segmentation of populations to capture both health and health-related social service (HASS) needs and 2) the precise estimation of transition probabilities among the various states of need.MethodsWe took a validated instrument for segmenting the population by HASS needs and adapted it to the Health and Retirement Study, a nationally representative survey dataset from the US population older than 50 y. We then estimated the transition probabilities across all 10 need states and death using multistate modeling. A need state was defined as a combination of any of the 5 ordinal global impression segments and a complicating factor status.ResultsKaplan-Meier survival curves, log-rank tests, and c-indices were used to assess predictive validity in relation to mortality. The Markov traces, using the estimated transition probability to replicate 2 closed cohorts, resembled the proportion of individuals per health state across subsequent waves well enough to indicate adequate fit of the estimated transition probabilities.ConclusionsThis article provides a population segmentation approach that incorporates HASS needs for the US population and 1-y transition probabilities across HASS need states and death. This is the first application of HASS segmentation that can estimate transitions between all 10 HASS need states, facilitating novel analysis of policy decisions related to integrated care.ImplicationsOur results will be used as input for a simulation model that performs scenario analysis on the long-term effects of various integrated care policies on population health.HighlightsWe took a validated tool for segmenting the population according to health and health-related social service (HASS) needs and adapted it to the Health and Retirement Study, a nationally representative survey dataset from the US population over the age of 50 y.We estimated the 1-y transition probabilities across all 10 HASS segments and death.This is the first application of a version of this HASS segmentation tool that includes HASSs in the various need states when estimating transition probabilities.Our results will be used as input for a simulation model that performs scenario analysis on the long-term effects of various integrated care policies on population health.

A negative wealth shock, defined as a loss of ≥75% in equivalized household total wealth over a short period, may cause adverse health outcomes for older adults. The individual-level risk factors for experiencing a negative wealth shock in later adulthood are unclear.

Data were from 25,072 adults aged ≥55 in the longitudinal, population-based US Health and Retirement Study from 1995 to 2020 (n = 123,651 observations across all study respondents). We performed multivariable-adjusted Poisson mixed effects models to examine the association of each of the four risk factors, 1) separation from or loss of a spouse/partner; 2) transition from better to worse self-reported general health; 3) transition from low to high depressive symptoms; and 4) transition from normal cognition to cognitive impairment without dementia (CIND) or dementia, with the subsequent experience of a negative wealth shock in mid-to-later life.

All four risk factors increased the likelihood of newly experiencing a negative wealth shock: separation from or loss of a spouse/partner (incidence rate ratio (IRR) = 1.59; 95% CI: 1.41, 1.78), transition from excellent/good to fair/poor self-reported general health (IRR = 1.14; 95% CI: 1.06, 1.23), transition from low to high depressive symptoms (IRR = 1.10; 95% CI: 1.02, 1.19), and transition from normal to CIND or dementia (IRR = 1.14; 95% CI: 1.06, 1.22).

This long-timespan, population-based study suggests that adverse changes in marital or health status in mid-to-later life may signal risks for a future negative wealth shock. Public policy interventions to support aging adults at risk of a negative wealth shock may be warranted.

Persistently poor sleep quality in young adults is linked to a higher risk of depression. However, the impact of changes in sleep quality on depression risk in middle-aged and older adults remain unclear. This study investigates the association between sleep quality, its changes, and the risk of depression in middle-aged and elderly people.

We included 4007 participants (mean age 63.0 ± 7.6 years, 53.0 % women) from the English Longitudinal Study of Ageing. Sleep quality was assessed using the Jenkins Sleep Problems Scale and a global sleep quality question. Depression was evaluated with the Center for Epidemiological Studies Depression Scale and self-reported doctor-diagnosed depression. Multivariable logistic regression, restricted cubic spline curve, and mediation analysis was employed.

After 10 years of follow-up, 777 individuals developed depression. Sleep quality scores positively correlated with depression risk. Among those with good sleep quality, worsening sleep quality increased depression risk (OR = 1.67, 95 % CI: 1.21-2.31). For those with intermediate sleep quality, improved sleep quality reduced depression risk (OR = 0.70, 95 % CI: 0.50-0.98). Conversely, worsening sleep quality increased depression risk (OR = 2.11, 95 % CI: 1.47-3.02). Pain and functional disability partially mediated the association between intermediate/poor sleep quality and depression (9.8 % and 4.2 %, respectively).

Sleep quality is based on self-reported.

Intermediate, poor, and worsening sleep quality are linked to higher depression risk. Improving sleep quality mitigates depression risk in those with intermediate sleep quality. Sleep quality may influence depression indirectly through pain and functional disability.

To improve interventions for people with cancer who experience clinically relevant distress, it is important to understand how distress evolves over time and why. This review synthesizes the literature on trajectories of distress in adult patients with cancer. Databases were searched for longitudinal studies using a validated clinical tool to group patients into distress trajectories. Twelve studies were identified reporting trajectories of depression, anxiety, adjustment disorder or post-traumatic stress disorder. Heterogeneity between studies was high, including the timing of baseline assessments and follow-up intervals. Up to 1 in 5 people experienced persistent depression or anxiety. Eight studies examined predictors of trajectories; the most consistent predictor was physical symptoms or functioning. Due to study methodology and heterogeneity, limited conclusions could be drawn about why distress is maintained or emerges for some patients. Future research should use valid clinical measures and assess theoretically driven predictors amendable to interventions.

Socioeconomic factors play a critical role in influencing mental health outcomes, particularly during periods of crisis such as the COVID-19 pandemic. In Hawai'i, working adults face unique challenges related to employment, food security, and trust in community safety measures, which may exacerbate risks for depression, low self-esteem, and suicidal ideation. Understanding the interplay of these factors is crucial to addressing mental health disparities and informing targeted policy interventions.

This study analyzed data from 2,270 adults aged 18 to 65 residing in Hawai'i, collected in 2022. Using probit regression models and conditional inference decision trees, the study assessed the impact of 15 socioeconomic and demographic factors on mental health outcomes, specifically symptoms of depression, low self-esteem, and suicidal ideation. Key variables of interest included food security status, employment, marital status, pre-existing health conditions, and perceptions of COVID-19-related community safety.

The findings revealed significant mental health challenges among the participants, with 39.6% reporting symptoms of depression, 14.7% experiencing low self-esteem, and 4.2% expressing suicidal ideation. Food insecurity emerged as the most significant predictor of poor mental health, particularly for depression and suicidal ideation. Within the food-insecure group, individuals with pre-existing health conditions faced worsened mental health outcomes, while marital status served as a protective factor. Employment reduced the likelihood of depression by 2.8%, and perceptions of community safety during the COVID-19 pandemic were associated with a 9.9% reduction in depression risk.

Food insecurity, particularly when coupled with pre-existing health vulnerabilities, is a critical risk factor for adverse mental health outcomes among working adults in Hawai'i. Employment and positive perceptions of community safety were identified as key protective factors. These findings highlight the urgent need for targeted interventions to improve food security and foster community trust and safety.

English language systematic reviews with samples from high-income countries have found an inverse relationship between loneliness and cognitive function. Considering that cultural and contextual resources influence the experience of loneliness and cognitive health, we conducted a systematic review analyzing quantitative studies exploring the relationship between loneliness and cognitive function in older adults in Latin America. Following PRISMA guidelines, we used five databases (PubMed, PsycInfo, Scopus, LILACS, and SciELO). Inclusion criteria were: a) quantitative research examining the relationship between loneliness and cognitive health, b) descriptions of loneliness and measures of cognitive function, c) English or Spanish language peer-reviewed articles, and d) a sample of older adults in Latin America (≥60 years). We assessed bias using the Risk of Bias Instrument for Cross-Sectional Surveys of Attitudes and Practices. Seven of the 1,887 studies (all cross-sectional) met the inclusion criteria, comprising 26,440 participants from Brazil or Mexico. Most, but not all, found a significant inverse association between loneliness and cognitive function after controlling for salient health and psychosocial factors. Measures and conceptualizations of loneliness and cognitive function, as well as theoretical explanations linking these concepts, varied. Two studies had a high risk of bias. Current evidence suggests a possible cross-sectional association between loneliness and cognitive function in older adults in these countries. Further research is needed to examine the possible bidirectional relationship using representative samples and longitudinal designs; test pathways linking dimensions of loneliness (e.g., chronicity) to cognitive function (e.g., Alzheimer's disease continuum), and explore Latin American diversity (e.g., countries, indigenous peoples, sexual minorities).

The combined effects of physical activity and sleep duration on depressive symptoms trajectories, and age and gender disparities remain inadequately understood. The objective of this study was to identify the joint relationship of physical activity and sleep duration with depressive symptoms trajectories in Chinese middle-aged and older adults, and explored disparities in the joint associations.

This longitudinal analysis draws upon data from the China Health and Retirement Longitudinal Study. The analysis comprised 35063 observations. Linear mixed-effect models were employed to discern independent and joint correlation of physical activity and sleep duration with depressive symptoms trajectories.

Chinese middle-aged and older adults showed increasing depressive symptoms trajectory. Physical activity and sleep duration interplayed to impact depressive symptoms trajectory in different ways. Compared to participants engaged in lower physical activity and short sleep, depressive symptom trajectories of those with higher physical activity and optimal sleep, and higher physical activity and short sleep increased less rapidly among group aged 60-70 years, as well as in women group.

This study emphasized the importance of combining interventions targeting habits of physical activity and sleep for middle-aged and older adults to improve their mental health, especially for women and those aged 60-70 years.

Urban-rural differences in depression are evident among older adults in China but not in the United States. By comparing the two countries, this study aims to explore strategies for promoting regional equality in depression in China.

Data from the China Health and Retirement Longitudinal Study (CHARLS) and the Health and Retirement Study (HRS) were utilized. Longitudinal data were used to describe urban-rural differences in depression prevalence among older adults in China (2011-2020) and the United States (2010-2020). Cross-sectional data from 2018 (CHARLS: 9840 participants; HRS: 10,381 participants) were used to identify key modifiable factors. A random forest algorithm was employed to determine the most important factors influencing depression, and comparisons between the two countries were made to identify modifiable factors. Multivariate logistic regression was used to analyze the relationship between these key modifiable factors and depression. A mediation model was applied to assess the mediating role of key modifiable factors in the relationship between residence and depression.

1) From 2011 to 2020, Urban-rural differences in depression prevalence among older adults were observed in China, but not in the United States. 2) In both China and the U.S., the top five factors ranked by importance were activities of daily living disability (ADLs), instrumental activities of daily living disability (IADLs), pain levels, self-reported health (SRH), and age. However, Urban-Rural Differences in ADLs, IADLs, and SRH were present in China but not in the United States. 3) ADLs, IADLs, and SRH collectively mediated 31.6 % (95 % CI: 0.268 - 0.360) of the relationship between residence and depression scores among older adults in China.

Urban-rural differences in physical health status (ADLs, IADLs, and self-reported health) among older adults in China are associated with Urban-Rural Differences in depression. The absence of such inequalities in the U.S. may offer insights for developing policies to promote regional equality in depression among older adults in China.

In recent years, relative deprivation related to consumption has sparked intense debate, particularly as the COVID-19 pandemic caused incalculable economic losses worldwide. However, the relationship between relative deprivation related to consumption and mental health remains largely unexplored. This study investigates how both vertical (household-level) and horizontal (household-to-household) relative deprivation related to consumption affect mental health, with a focus on hedonic consumption, and identifies underlying channels and moderating factors.

We analyze data from the China Family Panel Studies (CFPS) covering 88,144 observations from 2010 to 2018. Hedonic consumption is measured through expenditure on items such as jewelry, antiques, and entertainment, while consumption inequality is assessed using the Kakwani index. Mental health is evaluated using the CES-D and Kessler 6 scales. Ordinary least squares (OLS) and two-stage least squares (2SLS) methods are employed.

Our findings show that reductions in hedonic consumption negatively impact mental health, with involuntary and sudden declines resulting in more pronounced deterioration. Furthermore, greater consumption inequality exacerbates mental health issues, and perceived unfair treatment amplifies this effect. Additionally, self-perception and trust levels are identified as key channels through which these effects. Furthermore, cultural variations and social capital are moderating roles to diminish the adverse mental health.

This study advances our understanding of how relative deprivation related to consumption affects mental health and offers valuable insights for policymakers and practitioners aiming to address these challenges.

A deeper understanding of the molecular processes involved in psychological wellbeing in older adults is essential for advancing knowledge of underlying biological mechanisms. Leveraging proteomics data from 3,262 older adults (mean age=63.5 years, 55% female) of the English Longitudinal Study of Ageing (ELSA), we investigated the cross-sectional and longitudinal associations (before and after protein measurement) between 276 proteins and eudaimonic wellbeing, hedonic wellbeing, life satisfaction, and depressive symptoms, over 20-year span. For positive wellbeing, two proteins (DEFB4A and ECE1) were longitudinally associated with subsequent eudaimonic wellbeing trajectory. We further identified higher concentrations of 7, 8, and 2 proteins were linked to subsequent lower eudaimonic wellbeing, hedonic wellbeing, and life satisfaction, respectively. Sex differences in XCL1 and SLAMF7 were observed, associated with lower eudaimonic and hedonic wellbeing in males. These findings link human psychological wellbeing to regulation of several biological pathways, particularly involving cytokine regulation, neurotrophic signaling, inflammatory and immune systems.

This study examines whether age-related cognitive decline varies by race/ethnicity and how edentulism moderates these effects. Data from the Health and Retirement Study (2006-2020), including 23,669 respondents aged 51 and above across 189,352 person-wave observations were analyzed. Of all respondents, 13.4% were edentulous at baseline, with 65.4% identified as non-Hispanic White, 20.5% non-Hispanic Black, and 14.18% Hispanic. Results from linear mixed-effect models indicated that compared to non-Hispanic Whites, Hispanic and non-Hispanic Black participants exhibited lower baseline cognition scores but slower cognitive decline with age. For edentulous Hispanic participants, this slower rate of decline was attenuated by 0.03 units per year (95% CI: -0.06, -0.01, p = .049). The findings highlighted the need for targeted interventions and policies to improve oral health, particularly for Hispanic populations. Addressing oral health disparities could help mitigate cognitive decline in this group and reduce cognitive health disparities across racial/ethnic groups.

Depression co-occurs with diabetes at twice the rate, relative to the general population without diabetes but it is unknown whether depression is longitudinally associated with diabetes control in the general population.

To characterize the longitudinal association between depressive symptoms and joint achievement of glycemic, blood pressure (BP), and cholesterol control (ABC control) among middle-aged and older adults (≥50 years) with diabetes in United States.

Data of the nationally representative Health and Retirement Study 2006-2017 were pooled across study waves conducted every 2 years. Center for Epidemiological Studies Depression (CES-D8) scale was used to assess baseline depressive symptoms (≥3 points). Joint ABC control 4 years later was ascertained using HbA1c (<7.0% [53 mmol/mol] if <65 years, <7.5% [58 mmol/mol] if ≥65 years or <8.0% [64 mmol/mol] with comorbidities), BP (systolic < 140 and diastolic < 90 mm Hg), and non-HDL cholesterol (<130 mg/dL). Survey-weighted modified Poisson regressions were used to study the association (risk ratios [RR]) of depressive symptoms with ABC control.

The study sample consisted of 3 332 observations from 2 531 individuals (mean age: 64.4 years [SD: 8.8], 55.4% women). Depressive symptoms were neither associated with the achievement of joint ABC control (RR: 0.91 [95% CI, 0.76-1.09]) nor achievement of glycemic, BP or cholesterol control after adjusting for covariates. Findings were consistent across various subgroups defined by age, gender, baseline ABC control, medication use, and duration of diabetes.

Baseline depressive symptoms do not compromise future diabetes management. Care models should focus on both conditions independently to potentially improve overall health.

The intersection of race/ethnicity with disability is a critical dimension of mental health outcomes in later ages that remains under-investigated.

We examined the role of race-ethnicity in moderating the associations between functional disabilities and subsequent depression among Americans 51 and older and stratified into the two age-groups of midlife (51-64) and older adults (≥65).

Using a nationally representative sample of community-dwelling Americans (≥51; n = 7475) in the 2016-2018 Health and Retirement Study, we conducted bivariate and multivariable regression analyses. Racial-ethnic groups included non-Hispanic (NH) Black, Hispanic, and NH White and a binary (0/1) outcome defined subsequent depression in 2018. The total number of difficulties on the Nagi, Lawton, and Katz disability scales represented baseline (2016) functional disabilities with a secondary four-level (no/mild/severe with assistance/severe without assistance) disability indicator incorporated to examine the role of assistance with daily living.

Across age-groups, subsequent depression was significantly more prevalent among NH Whites with functional disabilities compared to counterparts reporting no disabilities. Compared to NH Black and Hispanic counterparts, midlife NH Whites were three times more likely to report subsequent depression with each unit increase in the functional disability score, after adjusting for covariates. However, we observed no such racial-ethnic differences among older adults. Among the 51+ severe with no assistance group, adjusted odds of subsequent depression among NH Whites was 2.5 times higher than minority counterparts.

Health programs and environmental adaptations supporting functional care needs in later ages could be beneficial for improving mental health of adults with disabilities.

About 10%-30% of individuals with obesity are metabolically healthy, but the specific characteristics of the metabolically healthy obesity (MHO) phenotype remain unclear. We aimed to examine how physical activity, education, depressive symptoms and genetic predisposition to obesity differ between individuals with MHO and those with metabolically unhealthy obesity (MUO), and whether these factors predict stability in MHO or conversion to a metabolically unhealthy state.

We retrieved data on 9809 individuals with obesity from the Health and Retirement Study collected between 2006 and 2016. We compared how physical activity, education, depressive symptoms and a polygenic score for higher body mass index (BMI) (PGSBMI) differed cross-sectionally between MHO and MUO using logistic regression. We then examined if the same factors predict conversion to a metabolically unhealthy state over 4 years in individuals with MHO.

Individuals with MHO had higher physical activity (odds ratio [OR] = 0.81), higher education (OR = 0.83) and lower depressive symptoms (OR = 1.14) compared to those with MUO but did not differ in the PGSBMI. The associations were slightly attenuated in mutually adjusted models. None of the factors were associated with conversion from MHO to a metabolically unhealthy state. However, a higher PGSBMI indicated 24% lower risk of conversion to a metabolically unhealthy state (p = 0.07).

Physical activity, education and depressive symptoms differed between MHO and MUO, even when mutually adjusted for, but did not predict conversion from a metabolically healthy to unhealthy state. Although not statistically significant, the results indicated that those with genetically predicted high BMI are more likely to maintain MHO and not convert to a metabolically unhealthy state.

Older adults are at increased risk of severe illness and mortality from Coronavirus disease of 2019 (COVID-19) infection. However, public health strategies aimed at reducing spread of COVID-19 may have resulted in increased mental health symptoms, particularly among older adults. Currently, little is known about whether older Veterans were more likely to experience persistent mental health symptoms during the COVID-19 pandemic than non-Veterans. The objectives of the current study were to (1) compare differences in persistent symptoms of anxiety, depression, and loneliness among a sample of Canadian Armed Forces Veterans and non-Veterans ≥55 years of age and (2) to evaluate potential sex-specific differences in persistent mental health symptoms.

The data for this study are drawn from a longitudinal survey of Canadian adults (55 years and older) during the COVID-19 pandemic. Ethical approval was received from the Women's College Hospital Research Ethics Board. Participants completed a baseline survey of sociodemographic, mental health-related, and COVID-19-related variables in May 2020 and 8 follow-up surveys monthly between May 2020 and January 2021. Modified Poisson regression models with robust standard errors were used to estimate risk of persistent symptoms of anxiety, depression, and loneliness.

Eight hundred twenty-nine participants (13.7% [n = 114] Veterans) were included in the analysis of persistent depressive symptoms, 859 participants (14.0% [n = 120] Veterans) were included in the analysis of persistent anxiety symptoms, and 862 (13.9% [n = 120] Veterans) were included in the analysis of persistent symptoms of loneliness. When comparing male Veterans and non-Veterans, there were small but statistically insignificant differences in persistent symptoms of anxiety (adjusted relative risk [aRR], 0.59; 95% confidence interval [CI], 0.24-1.46), depression (aRR, 1.54; 95% CI, 0.63-3.77), or loneliness (aRR, 0.79; 95% CI, 0.36-1.75); similar small but statistically insignificant differences were observed in persistent symptoms of anxiety (aRR, 1.26; 95% CI, 0.51-3.09), depression (aRR, 1.16; 95% CI, 0.49-2.73), and loneliness (aRR, 1.33; 95% CI, 0.61-2.90) when comparing female Veterans to female non-Veterans.

Qualitative, but statistically nonsignificant sex-specific differences in persistent symptoms of anxiety, depression, and loneliness during the early months of the COVID-19 pandemic were observed in this study comparing Veterans and non-Veterans. Additional sex-stratified analyses using larger samples or qualitative interviews may be useful in understanding the unique mental health experiences of older men, women, and gender diverse Veterans during the COVID-19 pandemic.

Arts engagement is a positive health behaviour that could support the mental and social well-being of ageing populations globally. However, research is predominantly from Western countries, leaving it unclear whether arts engagement can support well-being in Japan, where arts are differently valued and engaged with. The social gradient in arts engagement and well-being may also have led to an overestimation of the impact of participation on well-being in Western countries. We therefore tested whether participation in community arts and cultural groups was associated with subjective well-being and social support after removing confounding by demographic, socioeconomic and health-related factors in Japan and England.

We harmonised longitudinal data from the Japan Gerontological Evaluation Study (JAGES) 2016 and 2019 waves and the English Longitudinal Study of Ageing (ELSA) 2014 and 2018 waves to enable cross-country comparisons. We included 9511 adults aged ≥65 years from JAGES and 3133 participants aged ≥65 years from ELSA. Using inverse probability-weighted regression adjustment, we estimated the effect of arts and cultural groups on subsequent life satisfaction, happiness and depressive symptoms (subjective well-being) as well as social support.

In JAGES, arts and cultural group participation was associated with higher odds of life satisfaction and higher social support scores. In ELSA participants aged ≥65 years, group participation was only associated with higher depressive symptoms. But, in a sensitivity analysis with the full ELSA sample aged ≥50 years (n=5128), this association was no longer present. Instead, group participation was associated with higher social support scores.

Our findings indicate that arts and cultural group participation can enhance life satisfaction and social support in Japan, with small but more consistent benefits than in England. Facilitating participation in arts and cultural groups could help older adults to maintain a healthy social support network, which may further support their health as they age.

There exist significant age disparities in mental health (MH) utilization, such that older adults, including older veterans, are much less likely to use MH services. In-home caregivers represent a novel, yet understudied, pathway to increase appropriate utilization. We sought to examine the association between receiving caregiving assistance and MH utilization and test moderation effects of cognitive status and depression severity in a sample of older veterans.

Cross-sectional, mixed effects logistic regression with moderation analyses was used with a unique data resource combining survey data from the 2000-2012 U.S. Health and Retirement Study with Veterans Affairs (VA) healthcare administrative records. The analytic sample included N=1,957 Community-dwelling veterans (mean age 68.2 [9.7]), primarily male (96.5%) and non-Hispanic white (77.0%). Measures included MH utilization extracted from VA records or self-report; CESD-8 for depressive symptoms; and the Langa-Weir cognitive status classification using the modified TICS.

After accounting for demographics, spousal caregiver availability, health factors, and socioeconomic status, caregiving receipt was associated with two-fold odds of MH utilization, compared to receiving no assistance (8,839 person-year observations; OR = 2.02; 95% CI 1.54-2.65) and remained similar following VA policy changes to enhance MH access. Exploratory analyses revealed that categories of cognition and depressive symptoms may moderate the association.

Receipt of any in-home caregiving is associated with increased likelihood of MH use by older adults. Caregivers may represent an underutilized resource to reduce age-related mental health access disparities.

Neurodiverse students frequently encounter distinct challenges that can adversely affect their mental well-being. This research aimed to investigate emotional distress, depression, and anxiety among neurodiverse students, examine the interrelationships among these factors, and assess the impact of participant characteristics.

To address the problem of lack of data pointed out in the neurodiversity research in Nigeria, this study aims to examine the emotional distress, depression, and anxiety in neurodiverse students.

A cross-sectional study was carried out involving 200 neurodiverse students in Nigeria. Participants filled out self-report questionnaires that measured emotional distress (Brief Emotional Distress Scale for Youth), depression (Center for Epidemiologic Studies Depression Scale Revised), and anxiety (State-Trait Anxiety Inventory). The data were analyzed using descriptive statistics, correlation analyses, Bayesian Mann-Whitney U tests, two-way ANOVAs, and Kruskal-Wallis tests.

Anxiety was found to have the highest prevalence (mean = 68.8), followed by depression (mean = 34.2) and emotional distress (mean = 26.3). Significant positive correlations were identified among all three mental health factors, with the strongest correlation observed between depression and anxiety (rho = 0.492, P < 0.001). Moderate evidence indicated gender differences in emotional distress (BF10 = 2.448). The interaction between educational environment and diagnosis had a significant effect on emotional distress (F = 3.106, P = 0.017). Kruskal-Wallis tests indicated significant variations in anxiety levels across different educational settings (P = 0.002), although post-hoc comparisons did not reveal significant differences among specific settings.

This research emphasizes the prevalence of mental health challenges among neurodiverse students, particularly concerning anxiety. The intricate relationships among emotional distress, depression, and anxiety highlight the necessity for thorough mental health support. The impact of educational settings and diagnoses on mental health outcomes stresses the importance of customized interventions. These findings are significant for educators, mental health professionals, and policymakers in formulating targeted support strategies for neurodiverse students.

To evaluate cross-sectional (CMI), longitudinal (LMI), and cross-measurement invariance (C-LMI) of the Chinese version of the 8-item Center for Epidemiologic Studies Depression Scale (CES-D 8) and reconfirm other properties for measuring depression construct.

11,479 Chinese adults from China Family Panel Studies were enrolled and randomly split into two halves. The exploratory half was used to reidentify the structures of the CES-D 8 by bootstrap exploratory graph analysis (bootEGA) and the confirmatory half was used to compare and choose the structure by confirmatory factor analysis (CFA).

The original two-factor model was found satisfactory as the solution for the Chinese CES-D 8 because of the relatively best fit. The CMI, LMI, and C-LMI were supported within groups of gender, age, marital status, and time with indices that have met the expectations. The Chinese CES-D 8 also showed sufficient internal consistencies with Cronbach's alpha valuing 0.795-0.868 and McDonald's omega valuing 0.850-0.870.

The CES-D 8 presents sufficient psychometric syntheses for assessing depressive symptoms to adulthood. These results demonstrate adequate measurement invariances and can be reliably used at different genders, ages, and long-term time points in Chinese cultural backgrounds.

The association between negative wealth shocks and depression among middle-aged and older individuals remains unclear. Our study aimed to assess the association between negative wealth shocks and depression and its trajectories, and to explore cross-national differences in these associations.

Our sample included 21 999 participants, of which 9519 were from the Health and Retirement Study (2012-2020), 4936 from the English Longitudinal Study of Ageing (2012-2020), 2520 from the China Health and Retirement Longitudinal Study (2011-2020), and 5024 from the Mexican Health and Aging Study (2012-2021). We used latent class trajectory models to identify depressive trajectories, alongside mixed-model logistic regression and multinomial logistic regression to evaluate associations.

In the USA (OR 1.73, 95% CI 1.40-2.16), England (OR 1.71, 95% CI 1.09-2.70), and China (OR 1.38, 95% CI 1.09-1.75), negative wealth shocks were associated with subsequent depressive symptoms, but not in Mexico (OR 1.06, 95% CI 0.86-1.29). Additionally, negative wealth shocks were associated with several depressive trajectories in the USA and China. This association occurred only in increasing-decreasing trajectory in England, while no significant association was found across any trajectory in Mexico.

Negative wealth shocks were associated with subsequent depressive symptoms, with significant associations observed in some specific depressive trajectories. These associations exhibited cross-national differences, underscoring the importance of considering country-specific contexts when addressing the mental health impacts of wealth shocks.

To explore the longitudinal associations between eight-year trajectories of loneliness, social isolation and healthcare utilisation (i.e. inpatient, outpatient, and nursing home care) in US older adults.

The study used data from the Health and Retirement Study in 2006-2018, which included a nationally representative sample of American adults aged 50 and above (N = 6,832). We conducted latent growth curve models to assess the associations between trajectories of loneliness and isolation and healthcare utilisation over 8 years.

Independent of sociodemographic and health-related confounders, social deficits were associated with a lower likelihood of baseline physician visits (loneliness β= -0.15, SE = 0.08; social isolation β= -0.19, SE = 0.08), but there was a positive association between loneliness and number of physician visits (β = 0.06, SE = 0.03), while social isolation was associated with extended hospital (β = 0.07, SE = 0.04) and nursing home stays (β = 0.05, SE = 0.02). Longer nursing home stays also predicted better trajectories of loneliness and isolation over time.

Loneliness and social isolation are cross-sectionally related to complex patterns of different types of healthcare. There was no clear evidence that social deficits led to specific trajectories of healthcare utilisation, but nursing home stays may over time help provide social contact, supporting trajectories of isolation and potentially loneliness. Non-clinical services such as social prescribing could have the potential to address unmet social needs and further promote patients' health-seeking profiles for improving healthcare equity.

Guided by a life course perspective and fundamental cause theory, this study aims to visualize co-trajectories of health between partners and examine how changes in one spouse's cognitive status can cohesively impact the health of the other spouse along three dimensions (functional, mental, and cognitive).

Drawing longitudinal data from the Health and Retirement Study 2000-2016 (N = 3582), we measure women's health profiles by functional limitation (physical health), depression (mental health), and cognitive function (cognitive health). We use multivariate linear mixed models to summarize these paths in the same visual representation.

The approach provides a visualization tool that depicts data and model in the same spatial representation allowing assessment of model fit and comparison. This study advances the traditional life course studies by representing underlying processes as a multidimensional time vector of health outcomes.

The described approach provides a blueprint for studying complex health profiles or trajectories.

Cognitive impairment poses considerable challenges among older adults, with the role of family support becoming increasingly crucial. This study examines the association of children's residential proximity and spousal presence with key modifiable risk factors for dementia in cognitively impaired older adults.

We analyzed 14,600 individuals (35,165 observations) aged 50 and older with cognitive impairment from the Health and Retirement Study (1995-2018). Family support was categorized by spousal presence and children's residential proximity. Modifiable risk factors, including smoking, depressive symptoms, and social isolation, were assessed. Associations between family support and the modifiable risk factors were determined using mixed-effects logistic regressions.

A significant proportion of older adults with cognitive impairment lacked access to family support, with either no spouse (46.9%) or all children living over 10 miles away (25.3%). Those with less available family support, characterized by distant-residing children and the absence of a spouse, had a significantly higher percentage of smoking, depressive symptoms, and social isolation. Moreover, we revealed a consistent gradient in the percentage of the risk factors by the degree of family support. Relative to older adults with a spouse and co-resident children, those without a spouse and with all children residing further than 10 miles displayed the highest percentage of the risk factors. These findings were robust to various sensitivity analyses.

Family support from spouses and nearby children serves as a protective factor against modifiable dementia risk factors in cognitively impaired older adults. Policies that strengthen family and social support may benefit this population.

Sexual orientation has been measured in a wide variety of ways which reflect both theoretical and practical considerations. However, choice of sexual orientation measure and recoding strategy can impact analytic sample, as well as demographic and health profiles, in analyses of sexual minority populations. We aimed to examine how choice of sexual orientation dimension and recoding decisions impact estimates in the sexual minority population in two population-based studies in the UK.

We used data collected at age 17 (2018) in the UK Millennium Cohort Study and at sweep six (2012-13) and eight (2017-18) of the English Longitudinal Study of Ageing. Descriptive statistics were used to examine the impact of choice of sexual orientation dimension (i.e. identity, attraction and experience) and recoding decisions on achieved analytic sample and composition by selected demographic and health measures within and between datasets.

Dimension choice and recoding decisions resulted in variation in analytic sample. For example, more respondents reported some same-sex sexual attraction than reported a non-heterosexual identity (adolescents: 20.77% vs 8.97%, older adults: 4.77% vs 1.04%). Demographic distributions varied, but not substantially by dimension choice or recoding strategy. Overall, in both datasets sexual minority respondents were more likely to be White and in the highest quintiles for income and education than heterosexual respondents. Health status did not vary substantially by dimension choice or recoding strategy, however sexual minority respondents reported worse health than their heterosexual peers.

This study explores a range of practical and theoretical considerations when analysing sexual minority respondents using survey data. We highlight the impact recoding decisions may have on the numbers of sexual minority respondents identified within a dataset and demographic and health distributions in this understudied population. We also demonstrate the benefits of including multiple dimensions for capturing mechanisms of interest in elucidating ambiguous responses and exploring sexual diversity.

The relationship between preserved ratio impaired spirometry (PRISm) and depression remains unclear. This study aimed to assess the bidirectional relationship between PRISm and depression using data from a national cohort.

Data from wave 2 (2004-2005) to wave 4 (2008-2009) of the English Longitudinal Study of Ageing (ELSA) were analyzed. Lung function and depressive symptoms were measured at baseline and follow-up. Cox proportional hazard models were used to calculate the hazard ratio (HR) of PRISm with depression (study 1) and depression with PRISm (study 2).

Studies 1 and 2 included 2,934 and 2,277 participants, respectively. The follow-up period extended from wave 2 to wave 4. In univariate analyses, a bidirectional association between PRISm and depression was observed, with unadjusted HRs of 1.49 (95% confidence interval [CI], 1.12-1.99; p = 0.007) in study 1 and 1.69 (95% CI, 1.13-2.52; p = 0.010) in study 2. However, in multivariable Cox models, baseline PRISm was not associated with subsequent depression development (adjusted HR 1.26; 95% CI, 0.94-1.69; p = 0.128). Conversely, participants with depression had a significantly higher risk of developing PRISm compared to those without depression (adjusted HR 1.54; 95% CI, 1.03-2.32; p = 0.038). These findings were consistent with z-score-based interpretive strategies, with an adjusted HR of 1.30 (95% CI, 0.95-1.77; p = 0.105) in study 1 and 1.59 (95% CI, 1.03-2.47; p = 0.038) in study 2.

Depression was associated with an increased risk of developing PRISm, whereas PRISm did not increase the risk of developing depression. Physicians should be vigilant for potential PRISm development in patients with depression.

Children are more likely to develop depressive symptoms in families where parents have depressive symptoms. By conceptualizing the individual depressive symptom network of each family member as a whole, this study proposes a family symptom network model, and explored the mechanisms of transmission of depression within nuclear families at the symptom level. This study used four waves (2012, 2016, 2018, 2020) of data from the China Family Panel Studies (CFPS), which in wave one contained a representative sample of 1963 children (1038 boys; age = 12.60), 4763 mothers and 4614 fathers from China. Children with their parents completed the Center for Epidemiology Studies Depression Scale at each wave. Individual depressive symptom networks among children, fathers, and mothers were highly similar and stable across time. When considering depressive symptoms of all family members as a whole, there was a wide range of associations between child, father, and mother depressive symptom networks. The results of the cross-lagged network model suggest the bidirectional relationships between couples and parent-child depression. The current study provides preliminary validation of the family symptom network model. The model represents a further integration and extension of network theory of mental disorders and family systems theory, and points out the limitations of studying the intergenerational transmission of depression from a latent variable perspective. Thus, the family symptom network model proposed in this study could provide valuable new insights into understanding the intergenerational transmission of depression.

The bidirectional relationship between physical health (PH) and depressive symptoms (DS) remains unclear.

Data were extracted from the Health and Retirement Study in the United States. PH was measured with a composite of chronic diseases, functional limitations and difficulties in basic and instrumental activities of daily living, and DS with a modified Center for Epidemiological Studies of Depression. Latent growth curve models (LGCM) were employed to examine how the change in PH or DS affected their mutual trajectories in later life. In addition, multilevel models were utilized.

There were 6144 participants included, with an average age of 69.82 ± 6.85 years at baseline, of whom 3686 (59.99 %) were women. PH scores increased from 5.65 in 2010 to 7.72 in 2018, while depression scores increased from 1.14 to 1.31. LGCM results showed that the initial levels of PH and DS were associated (β = 0.558, P < .001), and the initial level of PH could predict the trajectory of DS (β = 0.089, P < .001). Likewise, the initial level of DS was also related to initial PH (β = -0.563, P < .001) but couldn't predict the trajectory of PH. Furthermore, the slopes of PH and DS were predicted bidirectionally by each other. Two-level logistic models further demonstrated the bidirectional association between PH and DS.

There was a bidirectional association between physical health and depressive symptoms, which highlights the necessity of comprehensive health management for older adults with poor physical health or depression symptoms.

The triple digital divide refers to the lack of internet access, use and knowledge among specific populations. In China, middle-aged and older adults and those living in rural areas or various regions of the country are more likely to have limited internet access and skills and, thus, have less accessibility to internet services. Few longitudinal studies have explored the association between the digital divide and the progression of depressive symptoms among middle-aged and older Chinese adults. Significantly, none of the existing studies have estimated this long-term relationship from a disparity perspective.

This study investigates the association between the triple digital divide and depressive symptom trajectories among middle-aged and older adults in China during a 10-year follow-up period from 2011 to 2020.

The sample for this secondary analysis comprises 3019 urban and 10 427 rural respondents selected from the China Health and Retirement Longitudinal Study baseline survey in 2011. Depressive symptoms were measured using the Center for Epidemiologic Studies Depression Scale. Employing longitudinal mixed-effects models, this study explored the association between the triple digital divide and depressive symptom trajectories among middle-aged and older Chinese adults by examining gender, rural-urban and regional disparities in this relationship.

Our findings revealed a significant association between the triple digital divide and increasing trajectories of depressive symptoms, showing significant disparities based on gender, rural-urban dwelling and regional location. Notably, for both male and female participants who resided in urban areas or the central region of the country, their ability to use the internet, coupled with enhanced internet skills and greater access to internet services, was found to have a mitigating effect on the increasing trajectories of depressive symptoms.

To alleviate some of the confounding influences on the trajectory of depression in middle-aged and older adults, policymakers in China should continue to prioritise the development of internet technology, foster easy access to the internet to ensure it is 'elder-friendly', provide internet skill training platforms for this population and broaden access to various internet services appropriate for them. Additionally, the implementation of tailored interventions to address depression, especially targeting the more vulnerable cohorts, such as middle-aged and older women, those residing in rural areas and the western regions, is crucial. Such tailored approaches are essential for addressing the disparities and challenges associated with the triple digital divide.

Older adults in care homes experienced some of the highest rates of mortality from SARS-CoV-2 globally and were subjected to strict and lengthy non-pharmaceutical interventions, which severely impacted their daily lives. The VIVALDI ASCOT and Ethnography Study aims to assess the impact of respiratory outbreaks on care home residents' quality of life, psychological well-being, loneliness, functional ability and use of space. This study is linked to the VIVALDI-CT, a randomised controlled trial of staff's asymptomatic testing and sickness payment support in care homes (ISRCTN13296529).

This is a mixed-methods, longitudinal study of care home residents (65+) in Southeast England. Group 1-exposed includes residents from care homes with a recent COVID-19 or other respiratory infection outbreak. Group 2-non-exposed includes residents from care homes without a recent outbreak. The study has two components: (a) a mixed-methods longitudinal face-to-face interviews with 100 residents (n=50 from group 1 and n=50 from group 2) to assess the impact of outbreaks on residents' quality of life, psychological well-being, loneliness, functional ability and use of space at time 1 (study baseline) and time 2 (at 3-4 weeks after the first visit); (b) ethnographic observations in communal spaces of up to 10 care homes to understand how outbreaks and related restrictions to the use of space and social activities impact residents' well-being. The study will interview only care home residents who have the mental capacity to consent. Data will be compared and integrated to gain a more comprehensive understanding of the impact of outbreaks on residents' quality of life and well-being.

The VIVALDI ASCOT and Ethnography Study obtained ethical approval from the Health Research Authority (HRA) Social Care REC (24/IEC08/0001). Only residents with the capacity to consent will be included in the study. Findings will be published in scientific journals.

The COVID-19 pandemic negatively impacted mental health in the general population in Britain. Ethnic minority people suffered disproportionately, in terms of health and economic outcomes, which may contribute to poorer mental health. We compare the prevalence of depression and anxiety across 18 ethnic groups in Britain during the COVID-19 pandemic.

Secondary analysis of cross-sectional data (February-November 2021) from 12,161 participants aged 18-60 years old (N with data on outcomes = 11,540 for depression & 11,825 for anxiety), obtained from the Evidence for Equality National Survey (EVENS). Data were weighted to account for selection bias and coverage bias. Weighted regression models examined ethnic differences in depression (Centre for Epidemiologic Studies Depression Scale) and anxiety (Generalised Anxiety Disorder-7). Effect modification analyses explored whether ethnic differences in outcomes were consistent within age and sex sub-groups.

Compared to White British people, greater odds of anxiety caseness (and greater anxiety symptoms) were observed for Arab (OR = 2.57; 95 % CI = 1.35-4.91), Mixed White and Black Caribbean (1.57; 1.07-2.30), any other Black (2.22, 1.28-3.87) and any other Mixed (1.58; 1.08-2.31) ethnic groups. Lower odds of depression caseness (and lower depressive symptoms) were identified for Chinese (0.63; 0.46-0.85), Black African (0.60; 0.46-0.79), and any other Asian (0.55; 0.42-0.72) ethnic groups.

Cross-sectional data limits the opportunity to identify changes in ethnic inequalities in mental health over time.

We have identified certain ethnic groups who may require more targeted mental health support to ensure equitable recovery post-pandemic. Despite finding lower levels of depression for some ethnic groups, approximately one third of people within each ethnic group met criteria for depression.

The purpose of this study was to evaluate the associations of (1) individual absolute and body size normalized weakness cut-points, and (2) the collective weakness classifications on time to diabetes in Americans.

We analyzed data from 9577 adults aged at least 50-years from the Health and Retirement Study. Diabetes diagnosis was self-reported. A handgrip dynamometer measured handgrip strength (HGS). Males with HGS <35.5 kg (absolute), <0.45 kg/kg (normalized to body weight), or <1.05 kg/kg/m2 (normalized to BMI) were categorized as weak. Females were classified as weak if their HGS was <20.0 kg, <0.337 kg/kg, or <0.79 kg/kg/m2. Compounding weakness included falling below 1, 2, or all 3 cut-points.

Persons below the body weight normalized weakness cut-points had a 1.29 (95% confidence interval (CI): 1.15-1.47) higher hazard for incident diabetes, while those below the BMI normalized cut-points had a 1.30 (CI: 1.13-1.51) higher hazard. The association between absolute weakness and incident diabetes was insignificant (hazard ratio: 1.06; CI: 0.91-1.24). Americans below 1, 2, or all 3 collective weakness categories had a 1.28 (CI: 1.10-1.50), 1.29 (CI: 1.08-1.52), and 1.33 (CI: 1.09-1.63) higher hazard for the incidence of diabetes, respectively.

Our findings indicate that while absolute weakness, which is confounded by body size, was not associated with time to diabetes, adjusting for the influence of body size by normalizing HGS to body weight and BMI was significantly associated with time to diabetes. This suggests that muscle strength, not body size, may be driving such associations with time to diabetes.

Visual impairment (VI) is associated with dementia and other neuropsychiatric outcomes, but previous studies have not considered genetic sources of confounding or effect modification.

We analysed data from the Health and Retirement Study, an ongoing nationally representative survey of older US adults, a subset of whom underwent genetic testing from 2006 to 2012 (n = 13 465). Using discrete time proportional hazards models and generalised estimating equations, we measured the association between VI and dementia, depression and hallucinations adjusting for demographics and comorbidities, ancestry-specific principal components and polygenic risk scores (PRS) for Alzheimer's disease, major depressive disorder or schizophrenia. Effect modification was assessed using VI-PRS interaction terms and stratified analyses.

VI was associated with dementia, depression and hallucinations after adjusting polygenic risk and other confounders. There was no VI-PRS interaction for dementia or depression. However, the association between VI and hallucinations varied by genetic risk of schizophrenia. Within the bottom four quintiles of schizophrenia PRS, VI was not associated with hallucinations among White (OR 1.16, 95% CI: 0.87-1.55) or Black participants (OR 0.96, 95% CI: 0.49-1.89). In contrast, VI was strongly associated with hallucinations among White (OR 2.08, 95% CI: 1.17-3.71) and Black (OR 10.63, 95% CI: 1.74-65.03) participants in the top quintile of schizophrenia PRS.

The association between VI and neuropsychiatric outcomes is not explained by shared genetic risk factors, and there is a significant interaction between VI and polygenic risk of hallucinations in older adults.

Social psychoneuroimmunology suggests an interplay between social deficits (loneliness and isolation) and chronic inflammation, but the direction of these relationships remains unclear. We estimated the reciprocal associations of social deficits and social engagement with levels of C-reactive protein (CRP), compared the consistency of the findings depending on the biological sampling method used, and examined the modifying role of phenotypic and genotypic depression.

We used longitudinal nationally representative data from the US (Health and Retirement Study, 3 waves, 2006-16) and England (English Longitudinal Study of Ageing, 4 waves, 2004-18). Loneliness, social isolation, and social engagement were self-reported. CRP was measured using dried blood spots (US) and venous blood samples (England). Cross-lagged panel models were fitted and tested interactions with phenotypic depression (above-threshold depressive symptom scores) and genotypic depression (polygenic score for major depressive disorder).

We included 15,066 participants (mean age = 66.1 years, SD = 9.8) in the US and 10,290 (66.9 years, SD = 10.5) in England. We found reciprocal associations between loneliness and CRP using dried blood spots and venous blood samples. Higher CRP predicted higher subsequent loneliness and higher loneliness predicted elevated CRP. Both phenotypic and genotypic depression modified this reciprocal association. There were also reciprocal associations for social engagement in venous blood samples: higher CRP predicted lower social engagement and greater social engagement predicted lower subsequent CRP. Associations between social isolation and CRP were inconsistent and unidirectional.

Loneliness may increase chronic inflammation, whereas social engagement may reduce inflammation. As these relationships were reciprocal, there may be a loop between inflammation, loneliness, and social engagement. This loop was stronger in those with depression or at high genetic risk for major depressive disorder. This relationship for loneliness was present in both blood sampling methods despite contrasting methods of CRP measurement, indicating that the finding is not attributable to measurement bias in biomarkers.

Depression and insomnia are common co-occurring psychiatric problems among older adults who have had strokes. Nevertheless, symptom-level relationships between these disorders remain unclear.

In this study, we compared inter-relationships of depression and insomnia symptoms with life satisfaction among older stroke patients and stroke-free peers in the United States.

The study included 1026 older adults with a history of stroke and 3074 matched controls. Data were derived from the US Health and Retirement Study. Depression, insomnia and life satisfaction were assessed. Propensity score matching was employed to identify demographically-similar groups of stroke patients and controls. Central and bridge symptoms were assessed using Expected influence (EI) and bridge EI, respectively.

The prevalence of depression in the stroke group (25.0 %) was higher than that of controls (14.3 %, P < 0.001). In stroke group, "Feeling depressed" (CESD1; EI: 5.80), "Feeling sad" (CESD7; EI: 4.67) and "Not enjoying life" (CESD6; EI: 4.51) were the most central symptoms, while "Feeling tired in the morning" (JSS4; BEI: 1.60), "Everything was an effort" (CESD2; BEI: 1.21) and "Waking up during the night" (JSS2; BEI: 0.98) were key bridge symptoms. In controls, the most central symptoms were "Lack of happiness" (CESD4; EI: 6.45), "Feeling depressed" (CESD1; EI: 6.17), and "Feeling sad" (CESD7; EI: 6.12). Furthermore, "Feeling tired in the morning" (JSS4; BEI: 1.93), "Everything was an effort" (CESD2; BEI: 1.30), and "Waking up too early" (JSS3; BEI: 1.12) were key bridge symptoms. Life satisfaction had the most direct associations with "Not enjoying life" (CESD6) and "Feeling lonely" (CESD5) in the two groups, respectively.

Older adults with stroke exhibited more severe depression and insomnia symptoms. Interventions targeting central and bridge symptoms may help to mitigate the co-occurrence of these symptoms.

Evidence shows that higher depressive symptoms are associated with mortality among people living with and beyond cancer (LWBC). However, prior studies have not accounted for a wider range of potential confounders, and no study has explored whether socioeconomic position (SEP) moderates the association. This study aimed to examine the association between depressive symptoms and mortality among people LWBC, and moderation by SEP.

Participants from the English Longitudinal Study of Aging, diagnosed with cancer and with a measure of depressive symptoms within 4 years after their diagnosis, were included. Elevated depressive symptoms were indicated by a score of ≥3 on the eight-item Center for Epidemiologic Studies Depression Scale. Cox regression models examined associations with all-cause mortality. Competing risk regression examined associations with cancer mortality.

In 1352 people LWBC (mean age = 69.6 years), elevated depressive symptoms were associated with a 93% increased risk of all-cause mortality (95% confidence interval = 1.52-2.45) within the first 4 years of follow-up and a 48% increased risk within a 4- to 8-year follow-up (95% confidence interval = 1.02-2.13) after multivariable adjustment. Elevated depressive symptoms were associated with a 38% increased risk of cancer mortality, but not after excluding people who died within 1 year after baseline assessments. There were no interactions between depressive symptoms and SEP.

Elevated depressive symptoms are associated with a greater risk of all-cause mortality among people LWBC within an 8-year follow-up period. Associations between depressive symptoms and cancer mortality might be due to reverse causality.

Social isolation has been recognized as a social problem with negative health consequences. Using data from 3 waves of the Health and Retirement Study, this study aimed to examine the long-term impact of social isolation on loneliness and depressive symptoms and to explore the moderating effect of resilience.

This study comprised 3,681 U.S. adults aged 60 and older at the baseline wave. Social isolation index was constructed using 5 indicators, including not married or cohabitating with a partner, no social participation, and less than monthly contacts with children, family members, or friends. Loneliness was measured by the University of California Los Angeles (UCLA) Loneliness Scale and depressive symptoms were measured by the Center for Epidemiological Studies-Depression scale. The moderator of resilience was assessed by the simplified resilience score. Latent growth curve models with robust standard errors were estimated.

The results of latent growth curve models showed that social isolation was significantly associated with more initial loneliness and depressive symptoms. However, social isolation was associated with a slower increasing rate of loneliness, but no significant relationship with the change rate of depressive symptoms. Furthermore, resilience significantly buffered the negative effect of social isolation on the initial level of depressive symptoms.

The findings underscore the importance of enacting strategies and interventions targeting resilience to address social isolation and its negative consequences among older adults.

McGrath, R, McGrath, BM, Jurivich, D, Knutson, P, Mastrud, M, Singh, B, and Tomkinson, GR. Collective weakness is associated with time to mortality in Americans. J Strength Cond Res 38(7): e398-e404, 2024-Using new weakness cutpoints individually may help estimate time to mortality, but their collective use could improve value. We sought to determine the associations of (a) each absolute and body size normalized cut point and (b) collective weakness on time to mortality in Americans. The analytic sample included 14,178 subjects aged ≥50 years from the 2006-2018 waves of the Health and Retirement Study. Date of death was confirmed from the National Death Index. Handgrip dynamometry measured handgrip strength (HGS). Men were categorized as weak if their HGS was <35.5 kg (absolute), <0.45 kg·kg -1 (body mass normalized), or <1.05 kg·kg -1 ·m -2 (body mass index [BMI] normalized). Women were classified as weak if their HGS was <20.0 kg, <0.337 kg·kg -1 , or <0.79 kg·kg -1 ·m -2 . Collective weakness categorized persons as below 1, 2, or all 3 cutpoints. Cox proportional hazard regression models were used for analyses. Subject values below each absolute and normalized cutpoint for the 3 weakness parameters had a higher hazard ratio for early all-cause mortality: 1.45 (95% confidence interval [CI]: 1.36-1.55) for absolute weakness, 1.39 (CI: 1.30-1.49) for BMI normalized weakness, and 1.33 (CI: 1.24-1.43) for body mass normalized weakness. Those below 1, 2, or all 3 weakness cut points had a 1.37 (CI: 1.26-1.50), 1.47 (CI: 1.35-1.61), and 1.69 (CI: 1.55-1.84) higher hazard for mortality, respectively. Weakness determined by a composite measure of absolute and body size adjusted strength capacity provides robust prediction of time to mortality, thus potentially informing sports medicine and health practitioner discussions about the importance of muscle strength during aging.

To examine lifetime experiences of employment discrimination and their association with Black older adults' employment status and well-being.

We use data from the Health and Retirement Study's leave-behind questionnaire to characterize lifetime experiences of being unfairly fired, not hired, or not promoted among Black older adults (N = 2331) and test associations with labor force status at age 62, job satisfaction among those working, and depressive symptoms.

Employment discrimination was commonly reported by Black older adults, especially among men and those with college educations. Employment discrimination was not associated with employment status at age 62 but was associated with job dissatisfaction (OR = 2.25, p = 0.016) and depressive symptoms (Beta = 0.13, p = 0.021).

Findings suggest a negative association between employment discrimination at any point in the life course and Black older adults' well-being. Employment discrimination is an obstacle to healthy aging, yet improved discrimination survey items are needed to fully capture its impact on Black Americans.

To examine the associations of 1) absolute and normalized weakness cut-points, 2) collective weakness categories, and 3) changes in weakness status on future activities of daily living (ADL) limitations in older Americans.

The analytic sample included 11,656 participants aged ≥65-years from the 2006-2018 waves of the Health and Retirement Study. ADL were self-reported. A handgrip dynamometer measured handgrip strength (HGS). Males were classified as weak if their HGS was <35.5-kg (absolute), <0.45-kg/kg (body mass normalized), or <1.05-kg/kg/m2 (body mass index (BMI) normalized); females were considered weak if their HGS was <20.0-kg, <0.337-kg/kg, or <0.79-kg/kg/m2. Collective weakness categorized those below 1, 2, or all 3 absolute and normalized cut-points. These collective categories were also used to classify observed changes in weakness status over time (onset, persistent, progressive, recovery).

Older Americans below absolute and normalized weakness cut-points had greater future ADL limitations odds: 1.34 (95% confidence interval (CI): 1.22-1.47) for absolute, 1.36 (CI: 1.24-1.50) for BMI normalized, and 1.56 (CI: 1.41-1.73) for body mass normalized. Persons below 1, 2, or 3 cut-points had 1.36 (CI: 1.19-1.55), 1.60 (CI: 1.41-1.80), and 1.70 (CI: 1.50-1.92) greater odds for future ADL limitations, respectively. Those in each changing weakness classification had greater future ADL limitation odds: 1.28 (CI: 1.01-1.62) for onset, 1.53 (CI: 1.22-1.92) for persistent, 1.72 (CI: 1.36-2.19) for progressive, and 1.34 (CI: 1.08-1.66) for recovery.

The presence of weakness, regardless of cut-point and change in status over time, was associated with greater odds for future ADL limitations.

Single measures of adiposity markers, such as body mass index (BMI) and waist circumference (WC), are associated with adverse mental health outcomes; however, long-term patterns of adiposity and their health effects remain unclear. The current study assessed adiposity trajectories during a 14-year span beyond middle age and their relevance to mental well-being in late life, and the contribution of genetic and lifestyle factors to the trajectories. Based on a nationally representative sample with longitudinal anthropometric measures, adiposity trajectories were identified by latent mixture modeling, and logistic regression model was used to estimate their associations with mental well-being, with adjustment for confounders. Of the 3491 eligible participants included (mean [SD] age, 69.5 [8.9] years), five discrete BMI and four WC trajectory patterns were identified over 14 years. Compared with the low-stable BMI group (range, 22.8 to 22.9 kg/m²; representing stable healthy body weight), the high-stable group (range, 34.3 to 35.4 kg/m²; stable obese) was associated with increased risk of depression (odds ratio [OR], 1.63; 95 % CI, 1.28-2.07) and low subjective well-being (OR, 1.35; 95 % CI, 1.02-1.79). Compared with the low-stable WC group (range, 75 to 79 cm healthy WC), the high-increasing group (range, 114 to 121 cm) was associated with increased risk of depression (odds ratio [OR], 1.64; 95 % CI, 1.19-2.25) and low well-being (OR, 1.48; 95 % CI, 1.01-2.16). The adiposity trajectories, especially the high-stable/increasing groups, were driven by genetic factors in a dose-response manner, whereas the high/moderate-increasing groups were also behaviorally related. This longitudinal cohort study reveals that stably high trajectory patterns of central and general adiposity during middle age were associated with higher risk of depression and low well-being in late life. The findings indicate the importance of weight management beyond middle age, such as adherence to a healthy lifestyle, in promoting mental health and well-being.