When Did Old Age Stop Being Depressing? Depression Trajectories of Older Americans and Britons 2002-2012

The non-linear association between depression scores and all-cause mortality: a cohort study based on NHANES 2005-2018 data

Depression is an important public health problem and its association with mortality has been studied extensively. However, the relationship between different levels of depression and death in adults is not well understood. This study aimed to explore the association between depression scores and all-cause mortality in US adults. We conducted a retrospective cohort study using data from 2005 to 2018 National Health and Nutrition Examination Survey (NHANES). Depression was assessed using the Patient Health Questionnaire-9 (PHQ-9), and all-cause mortality was the primary outcome. Cox proportional hazards models were used to examine the association between depression scores and mortality. A two-piece wise linear regression model was used to examine the threshold effect. A total of 36,393 participants with a mean age of 47.9 years (SD = 18.8) were included. The median follow-up time was 89 months, during which time 3,644 (10.01%) deaths occurred. When the depression score was below 7, each unit increase in the score was associated with a 6% increased in the risk of all-cause mortality (HR = 1.06, 95% CI: 1.05-1.08, P < 0.0001). The results of this study show a non-linear association between depression scores and all-cause mortality among adults in the United States. Increased depression scores were associated with increased mortality. However, these findings need to be further validated by further research.

Depressive symptoms among the oldest-old in China: a study on rural-urban differences

BACKGROUND

In China, In China, depression among the oldest-old (aged 80 + years) is a major public health issue. As the gap in development between urban and rural China widens, the aim of this study was to demonstrated whether there are disparities in the incidence of depressive symptoms between the urban and rural oldest-old (aged 80+) in China and to quantify the contribution of relevant influencing factors.

METHODS

The study evaluated data on 5,116 oldest adults (female, 55.88%; male, 44.12%) from the 2018 Chinese Longitudinal Healthy Longevity Survey. A chi-square test analyzed the distribution characteristics of related indicators among the oldest-old adults in the two areas. Multiple linear regression was applied to exploring the influencing factors of depressive symptoms in the oldest-old (aged 80+) adults in different regions. The Blinder-Oaxaca decomposition method quantified the four categories of influencing factors (demographic characteristics, sociological characteristics, personal lifestyle, personal lifestyle) of the differences in depressive symptoms and estimated their contributions among urban and rural oldest-old (aged 80+) adults.

RESULTS

14.60% of oldest-old (aged 80+) adults reported having depressed symptoms, with rural oldest-old (aged 80+) adults reporting more of these symptoms (15.70%) than urban oldest-old (aged 80+) adults (12.25%). In urban areas, age (90-99: β = -0.583, 95%CI = -1.008 to -0.158), annual income (rich: β = -0.699, 95%CI = -1.368 to -0.029), smoking (yes: β = -0.752, 95%CI = -1.376 to -0.127), exercise (yes: β = -1.447, 95%CI = -1.828 to -1.065), self-rated health status (good: β = -2.994, 95% CI = -3.362 to -2.625) were protective factors against depressive symptoms, and married status (other: β = 1.222, 95%CI = 0.564 to 1.880) were risk factors. In rural areas, education level (1-6: β = -0.374, 95%CI =  -0.686 to -0.062), annual income (poor: β = -0.374, 95%CI = -0.721 to -0.026; rich: β = -0.781, 95%CI = -1.115 to -0.447), exercise (yes: β = -0.844, 95%CI = -1.143 to -0.545) and SRH status (good: β = -3.023, 95%CI = -3.274 to -2.772) were protective factors, whereas body mass index (BMI) (< 18.5: β = 0.532, 95%CI = 0.221 to 0.842) and married status (widowed: β = 0.630, 95%CI = 0.283 to 0.978) were risk factors. The Blinder-Oaxaca decomposition showed that 90.47% of the factors, such as age (90-99, 1.90%), living status (living in an institution, -12.35%), annual income (rich, 42.69%), smoking (yes, -5.56%), exercise (yes, 37.45%), and SRH (good, 19.09%) could significantly explain the depressive symptoms differences between the two populations (p < 0.05).

CONCLUSIONS

The oldest-old (aged 80+) adults in rural areas had a higher prevalence of depressive symptoms than that in urban areas, mostly attributed to variations in income, marital status, physical activity, and health status. These findings can help government agencies design targeted and precise intervention strategies (e.g., health education, improving medical security, and providing sports venues and equipment) to improve mental health and lower the risk of depression among the oldest population.

Are depressive symptoms associated with biological aging in a cross-sectional analysis of adults over age 50 in the United States

Major depressive disorder accelerates DNA methylation age, a biological aging marker. Subclinical depressive symptoms are common, but their link to DNA methylation aging in older adults remains unexplored. This study analyzed the cross-sectional relationship between depressive symptoms and accelerated DNA methylation aging, considering gender and race/ethnicity in U.S. adults aged over 50. We used data from 3,882 diverse participants in the 2016 Health and Retirement Study wave, measuring blood DNA methylation age against chronologic age for acceleration. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression (CES-D) scale. Multiple linear regression evaluated the association between depressive symptoms and DNA methylation age acceleration, adjusting for sociodemographic factors, blood cell proportions, and health behaviors (physical activity, alcohol use, smoking, and chronic conditions). Gender and race/ethnicity modifications were also tested. Depressive symptoms, measured by continuous CES-D score, high depressive symptoms (CES-D ≥ 4), or any symptoms (CES-D ≥ 1), significantly correlated with increased GrimAge DNA methylation age acceleration (all p ≤ .001) in unadjusted and sociodemographic-adjusted models but were nonsignificant in fully adjusted models. No significant gender or race/ethnicity effect modifications were found in fully adjusted models. Health behaviors significantly influence DNA methylation age acceleration and depressive phenotypes, underscoring the need to understand their roles in assessing psychological factors related to DNA methylation age acceleration. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Identifying potentially depressed older Chinese adults in the community: Hong Kong's Elderly Health Service cohort

BACKGROUND

Depression is common at older ages, but is under-recognized due to stigma, misperception, and under-diagnosis; its manifestations may vary by setting. Identifying older adults at risk of depression in the community is urgently needed for timely support and early interventions. We assessed the performance of an existing risk prediction model developed in a European setting (i.e., Depression Risk Assessment Tool (DRAT-up)), and developed a new model (i.e., EHS-Depress model) to predict 2-year risk of the onset of later life depressive symptoms in older Chinese adults.

METHODS

Among 185,538 participants aged ≥65 years from Hong Kong's Elderly Health Service (EHS) cohort, 174,806 without depressive symptoms at baseline were included. Two-thirds were randomly sampled for recalibration and new model development using Cox proportional-hazards models with backward elimination. Overall predictive performance, discrimination, and calibration were assessed using the remaining.

RESULTS

The original DRAT-up model underestimated the risk of developing depressive symptoms in older Chinese adults; recalibrating it improved calibration. The new EHS-Depress model had better discrimination (Harrell's C statistic 0.68 and D statistic 2.74) and similarly good calibration (calibration slope 1.18 and intercept -0.002) probably due to the inclusion of more specific health measures, socio-demographics, lifestyle factors, and regular social contact as predictors.

LIMITATIONS

Predictors of depressive symptoms included in our models depend on the data availability.

CONCLUSIONS

The EHS-Depress model predicted 2-year risk of developing depressive symptoms better than the original and recalibrated DRAT-up models. The setting-specific risk prediction model is more applicable to older Chinese adults in primary care settings.

Physical Activity Is Associated with the Incidence of Depression in United States Adults from the NHANES 2013-18: A Cross-Sectional Study

The number of depression sufferers is rising globally. In the United States, 8% of adults over 20 years of age suffer from it, making it the most prevalent mental disorder in the country. Some lifestyle habits have been shown to favor or prevent the onset of depression; for instance, physical inactivity is associated with an increased likelihood of suffering depression, whilst multiple benefits have been attributed to performing physical activity (PA). This study aims to test whether there is a dependence between the prevalence of depression and PA, age, gender and educational level. The secondary objective was to identify the differentiating variables for depression and non-depression. This cross-sectional study is based on data from the NHANES 2013-2014, 2015-2016 and 2017-2018 editions. Some of the items in this survey were taken from preexisting questionnaires: the Patient Health Questionnaire-9 for depression screening and the Global Physical Activity Questionnaire (GPAQ) for the PA groups. The final sample was formed of 15,574 United States residents over 18 years old. After testing the data normality (p < 0.001), a descriptive analysis and the non-parametric chi-square test was conducted, as well as discriminant analysis. The results showed that there was an association between depression prevalence and PA (p < 0.001) in the general population and for both genders. Inactive participants had the highest prevalence of major depression and other depressive disorders. The discriminant analysis identified PA group (0.527), education level (0.761) and gender (-0.505) as significant variables that differentiate between participants with and without depression. The results of this research confirmed that a dependency relationship between PA group according to the GPAQ and depression prevalence according to the PHQ-9 existed in the United States adult population, and that PA group is a relevant variable to differentiate between depression sufferers and non-sufferers.

Study on the trajectory of depression among middle-aged and elderly disabled people in China: Based on group-based trajectory model

Background

Previous studies have shown that middle-aged and elderly adults with disabilities are at higher risk for depressive symptoms. However, there are few studies on the long-term trajectories of depressive symptoms in the Chinese middle-aged and elderly disabled population.

Objective

This study aimed to identify the different development trajectories of depressive symptoms and their influencing factors in middle-aged and elderly people with disabilities in China.

Methods

Using data from the China Health and Retirement Longitudinal Study (CHARLS) in 2011, 2013, 2015, and 2018, a longitudinal cohort was formed for the study. A total of 2053 participants underwent at least two measures of depressive symptoms, assessed using the Center for Epidemiological Studies Depression Scale (CES-D10), a depression symptom assessment scale. We constructed a Group-Based Trajectory Model (GBTM) to identify the development trajectory of depressive symptoms in 2053 middle-aged and elderly disabled individuals, screened the potential predictors using lasso regression, and analyzed the factors affecting the development trajectory of depression through multivariate logistic regression.

Results

We identified four depression symptom trajectories throughout the follow-up process: "low depressive symptom group", "worsening depressive symptom group", "relieved depressive symptom group", and "high depressive symptom group". We found that there were differences in basic characteristics among different subgroups of depression trajectory. However, middle-aged and elderly disabled women living in rural areas, with limited ADL or IADL, physical pain, poor self-reported health and self-reported memory, short sleep time, and no relatives and friends to take care of them were the key groups for the prevention and treatment of depressive symptoms.

Conclusion

There is heterogeneity in the trajectories of depressive symptoms in the Chinese middle-aged and elderly disabled population, it is necessary to focus on the characteristics of the trajectories of different subgroups.

The Trajectory of Depressive Symptoms Across Years of Community Care Utilization Among Older Adults: A 14-Year Follow-up Study Using the 'Korean Welfare Panel Survey'

OBJECTIVES

While older adults using community care services are known to be vulnerable for depression, community care utilization (CCU) may help to improve the mental health of these elderly. To date, however, it is much less clear how CCU affects depressive symptoms in the elderly population. This study focuses on the trajectory of depressive symptoms across years of CCU among older adults in Korea.

METHODS

Using the 2006-2019 Korean Welfare Panel Survey, this study is focused on elderly born in 1940 or earlier and selected 3281 persons for baseline interviews in 2006. This consisted of 35 800 person-year observations during a period of 14 years. Panel data analysis were employed to construct years of CCU.

RESULTS

After controlling for covariates, linear term of years using community care was negatively associated with depressive symptoms, but a quadratic term was positively significant. The trajectory of depressive symptoms across the years of CCU follows a U-shaped curve. Older adults in the first year of using community care reported the highest level of depressive symptoms. However, a significant and steady decrease in depressive symptoms was observed during the following 9 years of CCU, which then gradually increased. The level of depressive symptoms at the 14th year of using community care remains significantly lower than the level at the outset of its utilization.

CONCLUSIONS

This finding implies that CCU could be beneficial for improving mental health among older adults.

Psychological distress from early adulthood to early old age: evidence from the 1946, 1958 and 1970 British birth cohorts

BACKGROUND

Existing evidence on profiles of psychological distress across adulthood uses cross-sectional or longitudinal studies with short observation periods. The objective of this research was to study the profile of psychological distress within the same individuals from early adulthood to early old age across three British birth cohorts.

METHODS

We used data from three British birth cohorts: born in 1946 (n = 3093), 1958 (n = 13 250) and 1970 (n = 12 019). The profile of psychological distress - expressed both as probability of being a clinical case or a count of symptoms based on comparable items within and across cohorts - was modelled using the multilevel regression framework.

RESULTS

In both 1958 and 1970 cohorts, there was an initial drop in the probability of being a case between ages 23-26 and 33-34. Subsequently, the predicted probability of being a case increased from 12.5% at age 36 to 19.5% at age 53 in the 1946 cohort; from 8.0% at age 33 to 13.7% at age 42 in the 1958 cohort and from 15.7% at age 34 to 19.7% at age 42 in the 1970 cohort. In the 1946 cohort, there was a drop in the probability of caseness between ages 60-64 and 69 (19.5% v. 15.2%). Consistent results were obtained with the continuous version of the outcome.

CONCLUSIONS

Across three post-war British birth cohorts midlife appears to be a particularly vulnerable phase for experiencing psychological distress. Understanding the reasons for this will be important for the prevention and management of mental health problems.

The Effect of Physical Limitations on Depressive Symptoms over the Life Course: Is Optimism a Protective Buffer?

OBJECTIVES

We examined the extent to which optimism buffers the effects of physical limitations on depressive symptoms, across four mid- and later-life age groups (ages 40-49, 50-64, 65-74, 75+ at baseline). Analyses are motivated by stress theories, which hold that the protective effects of coping resources are evidenced only at high levels of stress. We further explore whether these purportedly protective effects diminish with age, as health-related stressor(s) intensify and become irreversible.

METHODS

We use data from two waves (2004-06 and 2013-14) of the Health and Retirement Study (HRS, n = 4,515) and Midlife in the United States (MIDUS, n = 2,138). We estimate OLS regression models with three-way interaction terms to examine prospectively the benefits of optimism as a coping resource for persons with physical limitations across four age groups. Physical limitations are assessed with a composite measure encompassing mobility and activity of daily living (ADL) limitations.

RESULTS

In HRS and MIDUS, persons with 3+ limitations reported significantly more depressive symptoms than persons with 0-2 limitations, yet these disparities diminished at higher levels of optimism. Buffering effects of optimism vary by age. For midlife and young-old persons with 3+ limitations, optimism is strongly and inversely related to depressive symptoms at follow-up. Comparable protective effects are not evident among oldest sample members.

DISCUSSION

Stress and coping models should consider more fully factors that limit older adults' capacity to deploy purportedly protective personal resources. Investments in structural or institutional supports may be more effective than interventions to enhance positive thinking.

Depression trajectories among older community dwelling adults: Results from the Irish Longitudinal Study on Ageing (TILDA)

BACKGROUND

This study investigated the role of a large range psychological, attitudinal and health related variables as predictors of depression trajectories amongst older adults over a 4-year time period.

METHODS

Data from three consecutive waves of the TILDA survey of older community dwelling adults aged 50+ in Ireland were combined for analysis. Depression symptom scores were assessed using the Center for Epidemiological Studies- Depression scale (CES-D). Changes in depression scores over three time points were modelled as distinct trajectory classes using group-based trajectory modelling, whilst simultaneously controlling for demographic, attitudinal and health related predictors of these trajectory classes using multinomial regression.

RESULTS

Four distinct depression trajectories were identified as (1) a stable low symptom level group (79%), (2) a moderate but deteriorating symptoms group (7.6%), (3) a moderate but improving group (10.1%) and (4) a vulnerable group with consistently high symptoms (3.1%). Multinomial logistic regression indicated that limiting pain, mobility impairments, perceived stress and loneliness predicted membership of the moderate and higher depressive symptom classes. Retirement status and higher reported levels of worry were associated with a greater likelihood of membership of the moderate symptom classes only.

LIMITATIONS

Use of the CES-D is open to bias due to subjective nature of respondent reporting.

CONCLUSIONS

Results concur with previous studies on the development of depression among older people and highlight the key health related and psychological variables that may inform interventions aimed at mitigating risks of developing depression among older adults.

Loneliness and depression among adults living on MS Gulf Coast: Individual, interpersonal and community predictors

Loneliness and depression are mental health problems prevailing in United States as well as the world. The primary goal of this study was to identify risk and protective factors associated with loneliness and depression at the individual, interpersonal and community levels among adults living on Mississippi Gulf Coast. Survey data on 310 adults from three coastal counties was analysed. Bivariate analyses and multiple logistic regression analyses were performed to determine correlates and predictors of loneliness and depression. Bivariate analyses showed that loneliness was correlated with marital status, insurance, income, perceived social support and community resilience. Depression was found to be correlated with marital status, insurance, education, income, perceived social support and community resilience. As expected, a significant correlation was found between loneliness and depression. Multiple logistic regression analyses revealed that race, marital status, income, perceived social support and community resilience predicted loneliness, while income and perceived social support served as predictors of depression. Results make it clear that in addition to addressing individual and interpersonal factors, community is important in reducing the incidence of loneliness.

Sex differences in mental health among older adults: investigating time trends and possible risk groups with regard to age, educational level and ethnicity

OBJECTIVES

Older women report lower mental health compared to men, yet little is known about the nature of this sex difference. Therefore, this study investigates time trends and possible risk groups.

METHOD

Data from the Doetinchem Cohort Study (DCS) and the Longitudinal Aging Study Amsterdam (LASA) were used. General mental health was assessed every 5 years, from 1995 to 1998 onwards (DCS, n = 1412, 20-year follow-up, baseline age 55-64 years). Depressive and anxiety symptoms were assessed for two birth cohorts, from 1992/1993 onwards (LASA cohort 1, n = 967, 24-year follow-up, age 55-65 years,) and 2002/2003 onwards (LASA cohort 2, n = 1002, 12-year follow-up, age 55-65 years) with follow-up measurements every 3-4 years.

RESULTS

Mixed model analyses showed that older women had a worse general mental health (-6.95; -8.36 to 5.53; range 0-100, ∼10% lower), more depressive symptoms (2.09; 1.53-2.63; range 0-60, ∼30% more) and more anxiety symptoms (0.86; 0.54-1.18; range 0-11, ∼30% more) compared to men. These sex differences remained stable until the age of 75 years, where after they decreased due to an accelerated decline in mental health for men compared to women. Sex differences and their course by age were consistent over successive birth cohorts, educational levels and ethnic groups (Caucasian vs. Turkish/Moroccan).

CONCLUSION

There is a consistent female disadvantage in mental health across different sociodemographic groups and over decennia (1992 vs. 2002) with no specific risk groups.

Inequalities in the prevalence of major depressive disorder in Brazilian slum populations: a cross-sectional analysis

AIMS

The mental health of slum residents is under-researched globally, and depression is a significant source of worldwide morbidity. Brazil's large slum-dwelling population is often considered part of a general urban-poor demographic. This study aims to identify the prevalence and distribution of depression in Brazil and compare mental health inequalities between slum and non-slum populations.

METHODS

Data were obtained from Brazil's 2019 National Health Survey. Slum residence was defined based on the UN-Habitat definition for slums and estimated from survey responses. Doctor-diagnosed depression, Patient Health Questionnaire (PHQ-9)-screened depression and presence of undiagnosed depression (PHQ-9-screened depression in the absence of a doctor's diagnosis) were analysed as primary outcomes, alongside depressive symptom severity as a secondary outcome. Prevalence estimates for all outcomes were calculated. Multivariable logistic regression models were used to investigate the association of socioeconomic characteristics, including slum residence, with primary outcomes. Depressive symptom severity was analysed using generalised ordinal logistic regression.

RESULTS

Nationally, the prevalence of doctor diagnosed, PHQ-9 screened and undiagnosed depression were 9.9% (95% confidence interval (CI): 9.5-10.3), 10.8% (95% CI: 10.4-11.2) and 6.9% (95% CI: 6.6-7.2), respectively. Slum residents exhibited lower levels of doctor-diagnosed depression than non-slum urban residents (8.6%; 95% CI: 7.9-9.3 v. 10.7%; 95% CI: 10.2-11.2), while reporting similar levels of PHQ-9-screened depression (11.3%; 95% CI: 10.4-12.1 v. 11.3%; 95% CI: 10.8-11.8). In adjusted regression models, slum residence was associated with a lower likelihood of doctor diagnosed (adjusted odds ratio (adjusted OR): 0.87; 95% CI: 0.77-0.97) and PHQ-9-screened depression (adjusted OR: 0.87; 95% CI: 0.78-0.97). Slum residents showed a greater likelihood of reporting less severe depressive symptoms. There were significant ethnic/racial disparities in the likelihood of reporting doctor-diagnosed depression. Black individuals were less likely to report doctor-diagnosed depression (adjusted OR: 0.66; 95% CI: 0.57-0.75) than white individuals. A similar pattern was observed in Mixed Black (adjusted OR: 0.72; 95% CI: 0.66-0.79) and other (adjusted OR: 0.63; 95% CI: 0.45-0.88) ethnic/racial groups. Slum residents self-reporting a diagnosis of one or more chronic non-communicable diseases had greater odds of exhibiting all three primary depression outcomes.

CONCLUSIONS

Substantial inequalities characterise the distribution of depression in Brazil including in slum settings. People living in slums may have lower diagnosed rates of depression than non-slum urban residents. Understanding the mechanisms behind the discrepancy in depression diagnosis between slum and non-slum populations is important to inform health policy in Brazil, including in addressing potential gaps in access to mental healthcare.

Trajectories of depression in aging veterans and former prisoners-of-war: The role of social support and hardiness

OBJECTIVES

Depression is a prevalent outcome of traumatic experiences, such as combat and war captivity. This study explores the heterogeneity of changes over time and assesses the contribution of trauma exposure (combat vs. war captivity), hardiness, and social support for depression trajectories.

METHODS

Two groups of Israeli veterans were assessed in 1991, 2003, 2008, and 2015: 149 former prisoners-of-war (ex-POWs) and 107 combat veterans. Protective factors were evaluated in 1991. Group-based trajectory modeling was conducted to identify latent trajectories of change.

RESULTS

Four trajectories of "resiliency" (62.8%), "delayed onset" (25.1%), "exacerbation" (6.2%), and "chronicity" (5.9%) were found. The majority of the resilient group were combat veterans whereas the clinical groups consisted primarily of ex-POWs. Lower hardiness and social support were related to more deleterious trajectories.

CONCLUSIONS

Spirals of loss involving hardiness and social support, normative experiences, and contextual factors may present explanations for the various depression trajectories.

"Age-Related Positivity Effect" in the Relationship Between Pain and Depression Among Chinese Community-Dwelling Older Adults: Sex Differences

PURPOSE

To examine the "age-related positivity effect" and its sex differences in the pain-depression relationship among Chinese community-dwelling older adults.

DESIGN

Cross-sectional design.

METHODS

The study was conducted with a sample of 1,913 older adults in Jinan, China. Data were collected on pain intensity, age, sex, depressive symptoms, and potential covariates.

RESULTS

The hierarchical linear regression analyses revealed that pain intensity was significantly related to depressive symptoms, there was a significant two-way interaction between age and pain intensity, and there was a significant three-way interaction between sex, age, and pain intensity. The Johnson-Neyman plot revealed that the relationship between pain and depressive symptoms decreased with advancing age, indicating an "age-related positivity effect." And the age-related positivity effect in the pain-depression relationship was significant only in men, but not in women.

CONCLUSIONS

The study suggests that all older women and "young-old" men (younger senior citizens aged 60-79) in China are more likely to experience depressive symptoms from pain. Interventions on cognitive psychology should particularly target all older women and young-old men to reduce the detrimental effect of pain on emotional well-being.

Recovery from past suicide attempts: Correlates of time since the last attempt in a national sample of US adults

BACKGROUND

This study takes a lifetime perspective on suicide attempts and examines correlates of years since the last attempt as a potential proxy for recovery from suicidality.

METHODS

Data from 36,309 adults in the National Epidemiologic Survey on Alcohol and Related Conditions-III were used to identify 1,924 respondents (5.3%) who reported a lifetime suicide attempt. Measures included socio-demographics, behavioral factors, and DSM-5 diagnoses, as well as the age at first attempt. Bivariate and multivariate analyses were used to adjust for potentially confounding effects of age and to identify independent factors associated with not attempting suicide for >1-5 years or >5 years.

RESULTS

Of those who reported a lifetime suicide attempt, 7.9% reported their most recent attempt in the past year, 18.6% within 1 to 5 years, and 73.5% in greater than 5 years. While absence of lifetime substance use disorder and past year psychiatric disorder prominently characterized those with no attempt in the past 1 to 5 years, many more sociodemographic advantages additionally characterized those whose last attempt was >5 years ago, including being older, married, employed, higher incomes, no recent homelessness or criminal justice involvement, more social contacts, as well as having less past year substance use or psychiatric disorders.

LIMITATIONS

The retrospective, self-report design introduces the possibility of recall bias.

CONCLUSIONS

Almost three-fourths of people with lifetime suicide attempts have not attempted for more than 5 years. Recovery involves not only psychiatric and substance use disorders but improvements in key socio-demographics and social connectedness over many years.

Prevalence of Major Depressive Disorder Among Adults in China: A Systematic Review and Meta-Analysis

Background: Prevalence estimates of major depressive disorder (MDD) among adults in China have varied widely between studies. In this systematic review and meta-analysis, the overall prevalence of MDD in the Chinese population was estimated from published epidemiological studies and potential moderators that account for variability in estimates were assessed. Methods: A systematic literature search was conducted in PubMed, EMBASE, Web of Science, PsycINFO, China National Knowledge Internet (CNKI), and WanFang databases to identify relevant studies. Data analyses were conducted using the Comprehensive Meta-Analysis Version 2.0. Results: Forty studies comprising 1,024,087 subjects were included. The pooled point, 12-month, and lifetime prevalence rates of MDD in China were 1.1% (95% CI: 0.9-1.4%), 1.6% (95% CI: 1.0-2.5%), and 1.8% (95% CI: 1.5-2.2%), respectively. Subgroup and meta-regression analyses revealed gender, marital status, survey year, being published in English language, use of the Diagnostic and Statistical Manual of Mental Disorders (DSM) diagnostic systems and age as significant moderators of MDD prevalence. Conclusion: The overall prevalence of MDD in the Chinese population appears to be lower than that of most countries, but the rates have been increasing over time and are elevated in particular demographic subgroups. Due to the negative consequences of MDD, effective preventive measures, early identification, and timely treatments are still important and should be offered to those in need.

Adverse childhood experiences and depressive symptoms in later life: Longitudinal mediation effects of inflammation

BACKGROUND

Adverse childhood experiences (ACEs) have been associated with both inflammation and depression. However, few studies have examined the role of inflammation as a possible biological mechanism underlying the association of ACEs with depression in later life using longitudinal data. This study investigated the longitudinal mediation effects of inflammation in the relationship between ACEs and depressive symptoms in older adults.

METHODS

We utilised data from the English Longitudinal Study of Ageing (N = 4382). ACEs (i.e. threat, family dysfunction, low parental bonding, loss experiences) were assessed retrospectively at wave 3 (2006/07). C-reactive protein (CRP), an inflammatory marker, was measured at waves 2 (2004/05), 4 (2008/09), and 6 (2012/13). Depressive symptoms were ascertained from wave 6 to 8 (2016/17). The mediation analysis was conducted using parallel process latent growth curve modelling.

RESULTS

Greater ACEs cumulative exposure was associated with higher CRP and depressive symptoms at baseline (β_CRPi = 0.066[0.030-0.102]; β_DEPi = 0.149[0.115-0.183]) and with their increase over time (β_CRPs = 0.205[0.095-0.315]; β_DEPs = 0.355[0.184-0.526]). Baseline CRP levels were positively associated with baseline depressive symptoms (β_DEPi = 0.145[0.104-0.186]) and their trajectory (β_DEPs = 0.215[0.124-0.306]). The mediation analysis indicated that higher baseline CRP levels mediated respectively 7% and 5% of the total effect of ACEs cumulative exposure on the baseline value and change in depressive symptoms. These mediation effects were larger for Loss experiences (i.e. 20% and 12% respectively) than for other types of ACEs. In addition, they were independent of possible confounders and additional mediators including adult socioeconomic position and lifestyle factors.

CONCLUSION

ACEs were related to higher depressive symptoms partly via elevated CRP levels. Inflammation might be one of the psychobiological mechanisms underlying the link between ACEs and depression. Psychosocial and behavioural interventions to prevent and reduce the negative impact of ACEs might help to lower the risk of inflammation and depression in the population.

Perceived Discrimination Trajectories and Depressive Symptoms Among Middle-Aged and Older Black Adults

BACKGROUND AND OBJECTIVES

Perceived discrimination is a risk factor for poor mental health. However, most studies measure discrimination at one time point, which does not account for heterogeneity in the cumulative patterning of exposure to discrimination. To address this gap, we examine the association between discrimination trajectories and depressive symptoms among black middle-aged and older adults.

RESEARCH DESIGN AND METHODS

Data were analyzed from a subsample of black Health and Retirement Study respondents (2006-2018, N = 2926, older than 50 years). General discrimination and racial discrimination trajectories were constructed based on the Everyday Discrimination Scale using repeated measures latent profile analyses. We examined the extent to which the association between discrimination trajectories are differentially associated with depressive symptoms (8-item Center for Epidemiological Studies-Depression scale) using negative binomial regression models adjusted for potential confounders. Effect modification by age and gender was tested.

RESULTS

Individuals in the persistently high (incident rate ratio [IRR]: 1.70; 95% confidence interval [CI]: 1.49-1.95) and moderate general discrimination trajectories (IRR: 1.19; 95% CI: 1.06-1.33) were more likely to have elevated depressive symptoms in comparison to those in the persistently low trajectory. This relationship was strongest among older adults aged older than 65 years. Respondents in the persistently high racial discrimination trajectory (IRR: 1.50; 95% CI: 1.29-1.73) had a higher risk of elevated depressive symptoms in comparison to respondents in the persistently low trajectory. Sensitivity analyses indicated that there was an independent association between persistently high racial discrimination trajectory class and elevated depressive symptoms, after adjusting for racial discrimination measured at a single time point.

DISCUSSION AND IMPLICATIONS

Characterizing longitudinal patterns of perceived discrimination may facilitate the stratification of mental health risk and vulnerability among black middle-aged and older adults. Trajectories of racial discrimination may inform risk of worse depressive symptoms more accurately than a single assessment of discrimination.

Trajectories of major depression in middle-aged and older adults: A population-based study

OBJECTIVES

This study aimed to examine depression trajectories and correlates in a nationally representative sample of middle-aged and older adults in the United States.

METHODS

The study sample consisted of 15 661 participants aged over 50 years from the US Health and Retirement Study. Major depression was assessed using the Composite International Diagnostic Interview (CIDI-SF). Depression trajectories were identified using a group-based trajectory modeling enhanced to account for nonrandom attrition. Multinomial logistic regression was conducted to investigate predictors of depression trajectories.

RESULTS

Four depression trajectory groups were identified: "never" (85.8%), "increasing" (6.3%), "decreasing" (3.2%), and "persistently moderate/high" (4.7%). Baseline depressive symptom severity was a strong predictor of depression trajectories. Older age, male sex, and non-Hispanic African American race were associated with a lower risk of the three trajectories with small to high depression burden, whereas chronic disease count was associated with a higher risk of these trajectories. The risk of being on the increasing trajectory increased with mobility difficulties. Difficulties in household activities predicted membership in the persistently moderate/high group.

CONCLUSIONS

A small but nonignorable proportion of middle-aged and older adults have chronic major depression. Initial symptom severity and chronic disease burden are consistent risk factors for unfavorable depression trajectories and potential targets for screening and intervention.

Seven-Year Trajectories of Depressive Symptoms and Their Predictors Among Older Americans

Objective: This study examined the trajectories of depressive symptoms and associated factors in older adults using an enhanced group-based trajectory modeling. Method: The study sample consisted of 7,573 adults aged ≥65 years from the National Health and Aging Trends Study (Rounds 1-7). Depressive trajectories were estimated using a group-based trajectory modeling accounting for nonrandom attrition. Results: A four-trajectory model including "persistently low" (77.7%), "increasing" (7.9%), "declining," (5.5%), and "persistently high" (8.9%) was the best fit using methods accounting for nonrandom attrition. In comparison, methods not accounting for attrition estimated that only 3.2% of older adults were on the "persistently high" trajectory. There were significant differences in depressive trajectories by age, race/ethnicity, sex, physical, and cognitive functioning, and social connections. Discussion: Persistently high depressive symptoms affected a larger proportion of older adults than previously estimated. Depression had a more long-term and increasing course in the oldest-old.

Associations Between Self-Reported Sensory Impairment and Risk of Cognitive Decline and Impairment in the Health and Retirement Study Cohort

Objectives

We aimed to determine whether self-assessed single (hearing or visual) and dual sensory (hearing and visual) impairments are associated with cognitive decline and incident possible cognitive impairment, no dementia (CIND) and probable dementia.

Method

Data were drawn from the 1996–2014 surveys of the Health and Retirement Study (HRS), involving 19,618 respondents who had no probable dementia and who were aged 50 years or older at the baseline. We used linear mixed models to test the association between self-assessed sensory impairment and cognitive decline followed by a Cox proportional hazard model to estimate the relative risk of incident possible CIND and probable dementia associated with the presence of sensory impairment.

Results

Respondents with self-assessed single and dual sensory impairment performed worse in cognitive tests than those without sensory impairment. The fully adjusted incidence of developing possible CIND was 17% higher for respondents with hearing impairment than those without hearing impairment. Respondents with visual impairment had 35% and 25% higher risk for developing possible CIND and probable dementia, respectively, than those without visual impairment. Respondents with dual sensory impairment at baseline were 38% and 26% more likely to develop possible CIND and probable dementia, respectively, than those with no sensory impairment.

Discussion

Self-assessed sensory impairment is independently associated with cognitive decline and incident possible CIND and probable dementia. Further studies are needed to identify the mechanism underlying this association and to determine whether treatment of sensory impairment could ameliorate cognitive decline and delay the onset of dementia among older adults.

Changes in depressive symptoms over age among older Americans: Differences by gender, race/ethnicity, education, and birth cohort

Despite concerns about recent trends in the health and functioning of older Americans, little is known about dynamics of depression among recent cohorts of U.S. older adults and how these dynamics differ across sociodemographic groups. This study examined sociodemographic differences in mid- and late-life depressive symptoms over age, as well as changes over time. Using nationally representative data from the Health and Retirement Study (1994–2014), we estimated mixed effects models to generate depressive symptoms over age by gender, race/ethnicity, education, and birth cohort in 33,280 adults ages 51–90 years. Depressive symptoms were measured using the 8-item Center for Epidemiological Studies Depression scale. Women compared to men, low compared to high education groups, and racial/ethnic minorities compared to whites exhibited higher depressive symptoms. The largest disparity resulted from education, with those without high school degrees exhibiting over two more predicted depressive symptoms in midlife compared to those with college degrees. Importantly, war babies and baby boomers (born 1942–1959) exhibited slightly higher depressive symptoms with more decreasing symptoms over age than their predecessors (born 1931–1941) at ages 51–65. We additionally observed an age-as-leveler pattern by gender, whereby females compared to males had higher depressive symptomology from ages 51–85, but not at ages 86–90. Our findings have implication for gauging the aging population's overall well-being, for public health policies aimed at reducing health disparities, and for anticipating demand on an array of health and social services.

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Depressive symptoms in mid- and late-life are higher among socially disadvantaged groups.

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Education levels generated the largest sociodemographic disparity, especially in mid-life.

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Recent birth cohorts had higher symptoms with more declining curves than predecessors ages 51-65.

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Trajectories of depressive symptoms in sociodemographic subgroups converged at higher ages.

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Depressed mood and somatic complaints both rose in late life but men reported lower depressed mood.

Trajectories of allostatic load among older Americans and Britons: longitudinal cohort studies

BACKGROUND

Difference in life expectancy between males and females has been suggested to rest on sex difference in physiological dysregulation. But allostatic load, a physiological index, has not been carefully examined for an extended period beyond middle age. We aim to draw longitudinal trajectories of allostatic load in a national sample of older Americans and Britons; also to examine sex-based trajectories and factors behind their differences.

METHODS

We studied men and women aged ≥50 years participating in the Health and Retirement Study Waves 8-11, 2006-2012 (N = 15,583 person-years) and the English Longitudinal Study of Ageing Waves 2, 4 and 6, 2004-2012 (N = 14,765 person-years). Because of the difference in provenance, we included different number of biomarkers to calculate allostatic load in HRS and ELSA. In HRS we used 8 biomarkers (systolic and diastolic blood pressure, haemoglobin A1c, high-density lipoprotein, total cholesterol, waist circumference, cystatin C, and C-reactive protein), while ELSA allostatic load was constructed from 10 biomarkers (systolic and diastolic blood pressure, haemoglobin A1c, high-density lipoprotein, total cholesterol, waist circumference, BMI, triglyceride, fibrinogen and C-reactive protein). A growth curve model was fitted to repeated observations of allostatic load, demographic characteristics, socioeconomic position, comorbidities and health behaviours (smoking, drinking, and physical exercise). To account for attrition, a joint model was applied.

RESULTS

The analysis showed that allostatic load increases linearly with age in the U.S. However, there are different levels for males and females. In England allostatic load follows such different paths that their trajectories cross in later life.

CONCLUSIONS

Sex-based trajectories of allostatic load showed distinct female advantage and are mostly consistent with female advantage in life expectancy.

Latent Profile Analyses of Depressive Symptoms in Younger and Older Oncology Patients

The aging of America will include a significant increase in the number of older patients with cancer, many of whom will experience significant depressive symptoms. Although geriatric depression is a well-studied construct, its symptom presentation in the context of cancer is less clear. Latent profile analysis was conducted on depressive symptoms in younger (40-64 years) and older (≥65 years) patients with cancer (N = 636). The sample was clinically heterogeneous (i.e., included all stages, dominated by advanced stage disease). Participants completed questionnaires including the Center for Epidemiological Studies Depression Scale, which was used for the latent profile analysis. A four-class pattern was supported for each age group. However, the four-class pattern was significantly different between the younger and older groups in terms of the item means within each corresponding latent class; differences were primarily driven by severity such that across classes, older adults endorsed milder symptoms. An unexpected measurement issue was uncovered regarding reverse-coded items, suggesting that they may generate unreliable scores on the Center for Epidemiological Studies Depression Scale for a significant subset of patients. The results indicate that cancer clinicians can expect to see depressive symptoms along a continuum of severity for patients of any age, with less severe symptoms among older patients.

Longitudinal Association of Amyloid Beta and Anxious-Depressive Symptoms in Cognitively Normal Older Adults

OBJECTIVE

To understand the role of depressive symptoms in preclinical Alzheimer's disease, it is essential to define their temporal relationship to Alzheimer's proteinopathies in cognitively normal older adults. The study objective was to examine associations of brain amyloid beta and longitudinal measures of depression and depressive symptom clusters in a cognitively normal sample of older adults.

METHOD

A total of 270 community-dwelling, cognitively normal elderly individuals underwent baseline Pittsburgh compound B (PiB) positron emission tomography (PET) measures of cortical aggregate amyloid beta and annual assessments with the 30-item Geriatric Depression Scale (GDS). The authors evaluated continuous PiB binding as a predictor of GDS score or GDS cluster, calculated as total scores and mean scores for three GDS item clusters (apathy-anhedonia, dysphoria, and anxiety-concentration), across time (1-5 years; mean=3.8 years) in separate mixed-effects models with backward elimination. Initial predictors included PiB binding, age, sex, Hollingshead score, American National Adult Reading Test (AMNART) score, apolipoprotein E ε4 status, depression history, and their interactions with time.

RESULTS

Higher PiB binding predicted accelerated rates of increase in GDS score over time, adjusting for depression history. Higher PiB binding also predicted steeper rates of increase for anxiety-concentration scores, adjusting for depression history and the AMNART score-by-time interaction. In a post hoc model estimating anxiety scores without concentration disturbance items, the PiB binding-by-time interaction remained significant.

CONCLUSIONS

Higher amyloid beta burden was associated with increasing anxious-depressive symptoms over time in cognitively normal older individuals. Prior depression history was related to higher but not worsening symptom ratings. These results suggest a direct or indirect association of elevated amyloid beta levels with worsening anxious-depressive symptoms and support the hypothesis that emerging neuropsychiatric symptoms represent an early manifestation of preclinical Alzheimer's disease.