Twenty-year depressive trajectories among older women

Long-Term Depressive Symptom Trajectories and Midlife Cognition: The CARDIA Study

BACKGROUND AND OBJECTIVES

The nature of associations between depressive symptoms and cognition early in the life course remains unclear, and racial differences in these associations are not well characterized. The aim of this study was to examine the relationship between trajectories of depressive symptom over 20 years, beginning in young adulthood, and cognitive functions in middle-age among Black and White adults.

METHODS

We used prospective data from participants of the Coronary Artery Risk Development in Young Adults Study. Depressive symptoms were measured at 5 study visits between 1990 and 2010 using the Center for Epidemiologic Studies Depression scale. We used latent class group-based modeling to identify 4 trajectories: "persistently low," "persistently medium," "medium decreasing," and "high increasing" depressive symptoms. In 2015, cognitive function was measured using the Digit Symbol Substitution Test (DSST), Stroop test (reverse coded), and Rey Auditory-Verbal Learning Test (RAVLT).We excluded participants who missed the cognitive battery or had no depressive symptoms measurements, resulting in a total of 3,117 participants. All cognitive tests were standardized, and linear regression was used to relate depressive trajectories with 2015 cognitive functions.

RESULTS

The mean [SD] baseline age was 30.1 [3.6] years, and 57% were female. The associations between depressive symptoms and cognition significantly differed by race (p < 0.05). Among Black individuals, compared with having "persistently low," having "medium decreasing," "persistently medium," or "high increasing" depressive symptoms were associated with worse verbal memory, processing speed, and executive function scores (RAVLT persistently medium vs low: β = -0.30, 95% CI -0.48 to -0.12; and high increasing vs low: β = -0.49, 95% CI -0.70 to -0.27; DSST persistently medium vs low: β = -0.28, 95% CI -0.47 to -0.09; and high increasing vs low: β = -0.64, 95% CI -0.87 to -0.42; Stroop persistently medium vs low: β = -0.46, 95% CI -0.70 to -0.23; and high increasing vs low: β = -0.76, 95% CI -1.04 to -0.47). Associations were slightly weaker among White individuals, but we still found that having 'high increasing' depressive symptoms was associated with worse verbal memory and processing speed scores (high increasing vs low: β = -0.38, 95% CI -0.61 to -0.15; and β = -0.40, 95% CI -0.63 to -0.18, respectively).

DISCUSSION

Prolonged exposure to elevated depressive symptoms beginning in young adulthood may result in worse cognitive function over midlife. This association was stronger among Black adults.

Life-Course Associations Between Smoking and Depressive Symptoms. A 30-Year Finnish Follow-up Study

INTRODUCTION

Relatively little is known about whether the association between smoking and depressive symptoms changes with age and how the trajectories of smoking and depressive symptoms are intertwined during the life course. In this population-based study, these associations were examined from young adulthood to middle age.

METHODS

Participants of a Finnish cohort study (N = 1955) were assessed at the ages of 22, 32, 42, and 52 using questionnaires covering daily smoking (yes/no) and the short 13-item Beck Depression Inventory. Longitudinal latent class and longitudinal latent profile analyses were used to identify life course trajectories of smoking and depressive symptoms.

RESULTS

The proportions of daily smokers decreased, while levels of depressive symptoms increased among both females and males from age 22 to 52 years. Smoking was associated with higher levels of depressive symptoms from age 22 to 42 years, while not at 52. Associations among males prevailed when adjusting for education, marital status, and alcohol use. Four life course classes of daily smoking (nonsmokers, decreasing prevalence of smoking, persistent smokers, and increasing prevalence of smoking) and four trajectories of depressive symptoms (low, increasing/moderate, decreasing/moderate, and high) were identified. In males, persistent daily smokers (relative risk ratio (RRR) = 4.5, 95% confidence interval (CI): 2.2 to 9.2) and those in the class with increasing smoking prevalence (RRR = 3.2, 95% CI: 1.1 to 9.1) had an increased risk of belonging to the high depressive symptoms profile. In females these associations were nonsignificant.

CONCLUSIONS

Compared to females, the relationship between smoking and depressive symptoms seems more robust among males during adulthood. Specifically, males smoking persistently from young adulthood to middle age have an increased risk of high depressive symptoms trajectory.

IMPLICATIONS

This population-based cohort with 30 years of follow-up showed that the life course trajectories of daily smoking and depressive symptoms are associated. Persistent daily smokers and those starting late had an increased risk of belonging to the profile with constantly high levels of depressive symptoms during the life course. However, these associations were statistically significant only in males. Actions should be strengthened, especially in males, to prevent smoking initiation, to help smoking cessation, and to identify and treat depression in smokers with significant depressive symptoms.

Poor mobility and lower limb weakness are associated with three distinct depressive symptom trajectories over 6 years in older people

OBJECTIVES

Physical decline can be associated with the onset of depressive symptoms in later life. This study aimed to identify physical and lifestyle risk factors for depressive symptom trajectories in community-dwelling older adults.

METHODS

Participants were 553 people aged 70-90 years who underwent baseline physical, psychological and lifestyle assessments. Group-based trajectory analysis was used to identify patterns of depressive symptom development over 6 years of follow-up. Strengths of associations between baseline functional test performances and depressive symptom trajectories were evaluated with univariable ordinal models. Subsequently, the adjusted cumulative odds ratio for the association between identified risk factors, demographic factors and baseline anti-depressant use were measured using multivariable ordinal logistic regression.

RESULTS

Three distinct depressive symptom trajectories were identified: a low-and-stable course (10% of participants), a low-and-increasing course (81%) and a moderate-and-increasing course (9%). Timed Up and Go test time was the strongest risk factor of depressive symptom trajectory, followed by Five Times Sit-to-Stand test performance, planned physical activity levels, and knee extension strength (adjusted standardised ORs 1.65, 95% CI 1.34-2.04; 1.44, 95% CI 1.16-1.77; 1.44, 95% CI 1.17-1.76 and 1.41, 95% CI 1.15-1.73 respectively). After adjusting for age, sex, body mass index and baseline anti-depressant use, Timed Up and Go test performance and knee extension strength were independently and significantly associated with depressive trajectories.

CONCLUSIONS

Timed Up and Go test times, Five Times Sit-to-Stand test performance, planned physical activity levels and knee extension strength are associated with three discrete depressive symptom trajectories. These clinical tests may help identify older adults aged 70-90 years at risk of developing depressive symptoms and help guide subsequent strength and mobility interventions.

Trajectories of depressive symptoms and risk of cardiovascular disease, cancer and mortality: a prospective cohort study

Background

Depressive symptoms are established risk factors for various health outcomes. However, previous studies assessed depressive symptoms at a single time point, neglecting individual variations over time.

Aims

To identify depressive symptoms trajectories through repeated measures and examine their associations with cardiovascular disease (CVD), cancer and mortality.

Methods

This study included 20 634 UK Biobank participants free of CVD and cancer at baseline with two or more assessments of depressive symptoms during 2006-2016. Group-based trajectory modelling identified depressive symptoms trajectories. Incident CVD, cancer and mortality were followed up until 2021 through linked registries.

Results

Six depressive symptoms trajectories were identified: no symptoms (n=6407), mild-stable (n=11 539), moderate-stable (n=2183), severe-decreasing (n=206), moderate-increasing (n=177) and severe-stable (n=122). During a median follow-up of 5.5 years, 1471 CVD cases, 1275 cancer cases and 503 deaths were documented. Compared with the no symptoms trajectory, the mild-stable, moderate-stable and severe-stable trajectories exhibited higher CVD risk, with hazard ratios (HRs) (95% CIs) of 1.19 (1.06 to 1.34), 1.32 (1.08 to 1.34) and 2.99 (1.85 to 4.84), respectively. Moderate-increasing and severe-stable trajectories were associated with higher mortality risks, with HRs (95% CIs) of 2.27 (1.04 to 4.93) and 3.26 (1.55 to 6.88), respectively. However, the severe-decreasing trajectory was not associated with higher risks of adverse outcomes. We did not find significant associations between any trajectory and cancer.

Conclusions

Trajectories related to stable and increasing depressive symptoms, but not the trajectory associated with severe depressive symptoms at the initial assessment but decreasing at the follow-up, were associated with higher risks of CVD and mortality. Alleviating severe depressive symptoms at the initial onset may mitigate CVD and mortality risks.

Trajectories of depressive symptom and its association with air pollution: evidence from the Mr. OS and Ms. OS Hong Kong cohort study

BACKGROUND

Depression is a global health priority. Maintaining and delaying depressive symptoms in older adults is a key to healthy aging. This study aimed to identify depressive symptom trajectories, predictors and mortality, while also exploring the relationship between air quality and depressive symptoms in older adults in the Hong Kong community over 14 years.

METHODS

This study is a longitudinal study in Hong Kong. The target population was community-dwelling older adults over age 65. Depressive symptoms were measured by the Geriatric Depression Scale (GDS-15). Group-based trajectory model was used to identify heterogeneity in longitudinal changes over 14 years and examine the associations between baseline variables and trajectories for different cohort members using multinomial logistic regression. The Kaplan-Meier method was employed to conduct survival analysis and explore the variations in survival probabilities over time among different trajectory group. Linear mixed model was used to explore the relationship between air quality and depressive symptoms.

RESULTS

A total of 2828 older adults were included. Three different trajectories of depressive symptoms in older people were identified: relatively stable (15.4%), late increase (67.1%) and increase (17.5%). Female, more number of chronic diseases, poor cognitive function, and poor health-related quality of life (HRQOL) were significantly associated with other less favorable trajectories compared with participants with stable levels of depressive symptoms. The late increase group had a lower mortality rate than the relatively stable and increased groups. Lower baseline ambient air pollutant exposure to NO2 over 14 years was significantly associated with fewer depressive symptoms.

CONCLUSIONS

In this study, we found that a late increase in depressive symptoms was the predominant trend in older Chinese people in Hong Kong. Poorer HRQOL was predictive of less favorable trajectories of depressive symptoms. Ambient air pollution was associated with depressive symptoms. This novel observation strengthens the epidemiological evidence of longitudinal changes in depressive symptoms and associations with late-life exposure to air pollution.

Influence of Hearing Loss on Social Participation in Older Adults: Results From a Scoping Review

This study aimed to provide a comprehensive understanding of the influence of hearing loss on social participation in older adults and including its facilitators and barriers. Following the rigorous methodological framework of scoping studies, nine multidisciplinary databases were searched with 44 keywords. Published mainly in the last decade, 41 studies using primarily a quantitative cross-sectional design were selected. Older adults with hearing loss have been found to have difficulty maintaining relationships and social activities. While social support and engaged-coping strategies were major facilitators of social participation, barriers included greater hearing loss, communication difficulties, comorbidities and reduced mental health. To better promote the social participation of older adults, early detection of hearing loss, holistic assessment, and interprofessional collaboration must be considered. Future research is necessary to better address the stigma related to hearing loss in older adults and challenges of early detection, and to propose innovative solutions to develop interprofessional collaboration.

20-Year trajectories of six psychopathological dimensions in patients with first-episode psychosis: Could they be predicted?

Patients with first-episode psychoses (FEP) exhibit heterogeneity in clinical manifestations and outcomes. This study investigated the long-term trajectories of six key psychopathological dimensions (reality-distortion, negative, disorganization, catatonia, mania and depression) in patients diagnosed with FEP. A total of 243 patients were followed up for 20 years and the trajectories of the dimensions were analysed using growth mixture modelling. These dimensions showed varied course patterns, ranging from two to five trajectories. Additionally, the study examined the predictive value of different factors in differentiating between the long-term trajectories. The exposome risk score showed that familial load, distal and intermediate risk factors, acute psychosocial stressors and acute onset were significant predictors for differentiating between long-term psychopathological trajectories. In contrast, polygenic risk score, duration of untreated psychosis and duration of untreated illness demonstrated little or no predictive value. The findings highlight the importance of conducting a multidimensional assessment not only at FEP but also during follow-up to customize the effectiveness of interventions. Furthermore, the results emphasize the relevance of assessing premorbid predictors from the onset of illness. This may enable the identification of FEP patients at high-risk of poor long-term outcomes who would benefit from targeted prevention programs on specific psychopathological dimensions.

Frailty, cognitive impairment, and depressive symptoms in Chinese older adults: an eight-year multi-trajectory analysis

BACKGROUND

Frailty, cognitive impairment, and depressive symptoms are closely interrelated conditions in the aging population. However, limited research has longitudinally analyzed the concurrent trajectories of these three prominent conditions in older adults in China. This study aimed to explore the eight-year trajectories of frailty, cognitive impairment, and depressive symptoms, and to identify individual-level and structural-level factors associated with the trajectories.

METHODS

Four waves of data from the China Health and Retirement Longitudinal Study (2011-2018) were used to identify 6,106 eligible older adults. The main measures included frailty by the frailty index constructed using 30 indicators, cognitive impairment by the summary score of immediate and delayed word recall, figure drawing, serial subtraction, and orientation, and depressive symptoms by the Center for Epidemiologic Studies Depression Scale. Multi-trajectory models identified the trajectories of frailty, cognitive impairment, and depressive symptoms over time. Multinomial logistic regression was employed to estimate the associations between individual-level capital factors and one structural factor (hukou and geographic residency) with the identified trajectories, adjusting for demographic characteristics.

RESULTS

Four trajectories emerged: (1) worsening frailty, worsening cognitive impairment, depression (14.0%); (2) declining pre-frailty, declining cognition, borderline depression (20.0%); (3) pre-frailty, worsening cognitive impairment, no depression (29.3%); and (4) physically robust, declining cognition, no depression (36.7%). Using the "physically robust, declining cognition, no depression" as the reference, not working, no social activity participant, worse childhood family financial situation, and poorer adult health were most strongly associated with the "worsening frailty, worsening cognitive impairment, depression" trajectory; worse health during childhood had the highest association with the "declining pre-frailty, declining cognition, borderline depression" trajectory; less education, lower household consumption, and rural hukou had the greatest association with the increased likelihood of the "pre-frailty, worsening cognitive impairment, no depression" trajectory.

CONCLUSIONS

Findings could inform the understanding of the interrelationship of frailty, cognitive impairment, and depressive symptoms in older adults in China and may help practitioners detect adults at risk for adverse trajectories to implement strategies for proper care.

Resilience, Accelerated Aging and Persistently Poor Health: Diverse Trajectories of Health in Malawi

Individuals age at vastly different rates resulting in significant within-population heterogeneity in health and aging outcomes. This diversity in health and aging trajectories has rarely been investigated among low-income aging populations that have experienced substantial hardships throughout their lifecourses. Utilizing 2006-2018 data from the Malawi Longitudinal Study of Families and Health (MLSFH) and estimating group-based trajectory models (GBTM), our analyses identified three distinct lifecourse health trajectories: (1) comparatively good initial mental and physical health that persisted throughout the lifecourse ("resilient aging"); (2) relatively good initial mental and physical health that started to deteriorate during mid-adulthood ("accelerated aging"); and (3) poor initial mental and physical health that further declined over the lifecourse ("aging with persistently poor health"). For both physical and mental health, men were more likely to enjoy resilient aging than women. Predictors other than gender of trajectory membership sometimes confirmed, and sometimes contradicted, hypotheses derived from high-income country studies. Our analyses highlight the long arm of early life conditions and gender in determining aging trajectories and show that a non-trivial sub-population is characterized by aging with persistently poor health. The study uncovers widening gaps in health outcomes between those who age with resilience and those who experience accelerated aging.

Trajectories of depressive symptoms among older African Americans: the influence of neighborhood characteristics and gender

OBJECTIVES

Focusing on older African Americans, this study aims to (1) identify 9-year trajectories of depressive symptoms, (2) examine the association between baseline neighborhood characteristics (i.e., social cohesion and physical disadvantage) and trajectories of depressive symptoms, and (3) test whether the effects of neighborhood characteristics on depressive symptoms trajectories differ by gender.

METHODS

Data came from the National Health and Aging Trend Study. Older African Americans at baseline were selected (N = 1662) and followed up for eight rounds. Depressive symptom trajectories were estimated using group-based trajectory modeling. Weighted multinomial logistic regressions were conducted.

RESULTS

Three trajectories of depressive symptoms were identified: "persistently low," "moderate and increasing," and "high and decreasing" (Objective 1). Objective 2 and 3 were partially supported. Specifically, high perceived neighborhood social cohesion was associated with a lower relative risk of being on the "moderate and increasing" versus the "persistently low" trajectory (RRR = 0.64, p < 0.01). The association between neighborhood physical disadvantage and depressive symptom trajectories was stronger among older African American men compared to women.

CONCLUSIONS

High levels of neighborhood social cohesion may protect against increasing depressive symptoms in older African Americans. Compared to women, older African American men may be more vulnerable to negative mental health effects of neighborhood physical disadvantage.

Long-term functional ability trajectories and mental health among older people before and after the COVID-19 pandemic onset in Chile

OBJECTIVES

Despite the advances in understanding the complex association between functional abilities and mental health in old age, studies have overlooked two important aspects. First, traditionally, research has employed cross-sectional designs, measuring limitations at a single time point. Second, most gerontological studies on this field have been conducted before the COVID-19 pandemic onset. This study aims to explore the association between diverse long-term functional ability trajectories across late adulthood and old age, and older people's mental health in Chile, before and after the COVID-19 pandemic onset.

METHODS

We use data from the population-representative and longitudinal 'Chilean Social Protection Survey', sequence analysis to reconstruct functional ability trajectory types from 2004 to 2018, and bivariate and multivariate analyses to measure their association with depressive symptoms in early 2020 (N = 891) and late 2020 (N = 672). We analyzed four age groups defined by their age at baseline (2004): people aged 46-50, 51-55, 56-60, and 61-65.

RESULTS

Our findings indicate that erratic or equivocal patterns of functional limitations across time (with people transiting back and forth between low and high levels of limitations) show the worst mental health outcomes, both before and after the pandemic onset. Prevalence of people with depression increased after the COVID-19 onset in most groups, being particularly high among those with previous equivocal functional ability trajectories.

CONCLUSIONS

The relationship between functional ability trajectories and mental health calls for a new paradigm, moving away from age as the main policy guide, and highlighting the need to adopt strategies to improve population-level functional status as an efficient policy to address the challenges of population aging.

Examining the Health-Related Needs of Females during Menopause: A Systematic Review Study

Menopause is one the most crucial stages in a female's life. Identifying the education gaps regarding menopause is important, thus this study aims to explain the health-related needs of females during menopause. Scopus, PubMed, Scientific Information Database, and Web of Science databases were searched for the available observational (cohort, case-control, and cross-sectional), systematic review, meta-analysis, and clinical trial studies (2007-2021) using keywords, such as 'Educational Needs Assessment,' 'Assessment of Healthcare Needs,' 'menopause,' 'climacteric,' 'premenopause,' and 'postmenopause.' A total of 180 out of 5,705 papers were evaluated after considering the inclusion and exclusion criteria. The educational needs of females during menopause in the reviewed studies include osteoporosis, oral and dental problems, metabolic disorders, cardiovascular diseases, hypertension, lung diseases, infectious diseases, musculoskeletal problems, urinary problems, breast cancer, defecation problems, genital disorders, special diseases such as eye diseases and hypothyroidism and hormone therapy, mental disorders, cognitive function, sleep disorders, sexual disorders, physical activity, supplement consumption, public health issues, health education, fall, and nutrition. The study results reveal that females during postmenopause require training, counseling, and support in all aspects to get through this challenging time, and providing these services, infrastructure, appropriate policy, and the use and support of the medical team's capacity are all required.

Prediction of depressive symptoms onset and long-term trajectories in home-based older adults using machine learning techniques

OBJECTIVES

Our aim was to explore the possibility of using machine learning (ML) in predicting the onset and trajectories of depressive symptom in home-based older adults over a 7-year period.

METHODS

Depressive symptom data (collected in the year 2011, 2013, 2015 and 2018) of home-based older Chinese (n = 2650) recruited in the China Health and Retirement Longitudinal Study (CHARLS) were included in the current analysis. The latent class growth modeling (LCGM) and growth mixture modeling (GMM) were used to classify different trajectory classes. Based on the identified trajectory patterns, three ML classification algorithms (i.e. gradient boosting decision tree, support vector machine and random forest) were evaluated with a 10-fold cross-validation procedure and a metric of the area under the receiver operating characteristic curve (AUC).

RESULTS

Four trajectories were identified for the depressive symptoms: no symptoms (63.9%), depressive symptoms onset {incident increasing symptoms [new-onset increasing (16.8%)], chronic symptoms [slowly decreasing (12.5%), persistent high (6.8%)]}. Among the analyzed baseline variables, the 10-item Center for Epidemiologic Studies Depression Scale (CESD-10) score, cognition, sleep time, self-reported memory were the top five important predictors across all trajectories. The mean AUCs of the three predictive models had a range from 0.661 to 0.892.

CONCLUSIONS

ML techniques can be robust in predicting depressive symptom onset and trajectories over a 7-year period with easily accessible sociodemographic and health information.

Supplemental data for this article is available online at http://dx.doi.org/10.1080/13607863.2022.2031868.

A hybrid machine learning model of depression estimation in home-based older adults: a 7-year follow-up study

BACKGROUND

Our aim was to explore whether a two-step hybrid machine learning model has the potential to discover the onset of depression in home-based older adults.

METHODS

Depression data (collected in the year 2011, 2013, 2015 and 2018) of home-based older Chinese (n = 2,548) recruited in the China Health and Retirement Longitudinal Study were included in the current analysis. The long short-term memory network (LSTM) was applied to identify the risk factors of participants in 2015 utilizing the first 2 waves of data. Based on the identified predictors, three ML classification algorithms (i.e., gradient boosting decision tree, support vector machine and random forest) were evaluated with a 10-fold cross-validation procedure and a metric of the area under the receiver operating characteristic curve (AUROC) to estimate the depressive outcome.

RESULTS

Time-varying predictors of the depression were successfully identified by LSTM (mean squared error =0.8). The mean AUCs of the three predictive models had a range from 0.703 to 0.749. Among the prediction variables, self-reported health status, cognition, sleep time, self-reported memory and ADL (activities of daily living) disorder were the top five important variables.

CONCLUSIONS

A two-step hybrid model based on "LSTM+ML" framework can be robust in predicting depression over a 5-year period with easily accessible sociodemographic and health information.

Associations of dual sensory impairment with long-term depressive and anxiety symptoms in the United States

OBJECTIVE

We explored the associations of dual sensory impairment (DSI) with long-term depressive and anxiety symptoms as well as low perceived social support (LPSS) as a modifier of these associations.

METHODS

Multinomial logistic regression models were used to examine the associations of DSI and single sensory impairment (hearing [pure-tone average > 25 dB] and vision [impaired visual acuity and/or contrast sensitivity]) with long-term depressive symptom (≥8 on the 10-item Center for Epidemiologic Studies-Depression Scale) and anxiety symptom (present on the Hopkins Symptom Checklist) latent classes from group-based trajectory models (rare/never; mild/moderate increasing; chronically high) among 2102 Health, Aging and Body Composition Study participants (mean age:74.0 ± 2.8 years; 51.9 % female) over 10 years. Models were adjusted by demographic characteristics and cardiovascular risk factors, and LPSS. An additional model evaluated the two-way interaction between DSI and LPSS.

RESULTS

DSI was associated with increased risk of being chronically depressed (Risk Ratio, RR = 1.99, 95 % Confidence Interval, CI: 1.25, 3.17), not mild/moderate increasingly depressed (RR = 1.25, 95 % CI: 0.91, 1.71). DSI had increased risk of being mild/moderate increasingly anxious (RR = 1.60, 95 % CI: 1.16, 2.19) and chronically anxious (RR = 1.86, 95 % CI: 1.05, 3.27) groups, as compared to no impairments. Hearing impairment was associated with being mild/moderate increasingly anxious (RR = 1.34, 95 % CI: 1.01, 1.79). No other associations were found for single sensory impairments. LPSS did not modify associations.

LIMITATIONS

Sensory measures were time-fixed, and LPSS, depression and anxiety measures were self-reported.

CONCLUSIONS

Future research is warranted to determine if DSI therapies may lessen long-term chronically high depressive and anxiety symptoms.

Longitudinal Trajectories of Depressive Symptoms Among Patients With Knee Osteoarthritis: The Role of Pain Intensity

BACKGROUND

Pain is the primary symptom of knee osteoarthritis (KOA), significantly associated with depressive symptoms. Whether the early pain intensity could distinguish different trajectories of depressive symptoms is not well understood among patients with KOA.

AIMS

To identify heterogeneous depressive symptoms trajectories among patients with KOA, and investigate the association between depressive symptoms subgroups and pain intensity.

DESIGN

Secondary analysis of a cohort sample.

SETTING

Three waves of data from the China Health and Retirement Longitudinal Study was collected in 28 provinces across China.

PARTICIPANTS

702 patients with KOA aged ≥ 45 years completed the Center for Epidemiologic Studies Depression Scale biennially from 2011 to 2015.

METHODS

Latent class growth analysis was performed to identify the optimal trajectory shape and number of classes. Multinomial logistic regression analysis was conducted to compare pain intensity across the trajectories.

RESULTS

Four distinct trajectories were identified as follows: no depressive symptoms, highly stable, decreasing, and increasing. In multivariate analysis, compared with the "no depressive symptoms" class, patients in the "highly stable" class and "increasing" class were more likely to report moderate pain (p < 0.05) and severe pain (p < 0.05). In addition, there was no significant difference in pain intensity between "no depressive symptoms" class and "decreasing" class (p > 0.05).

CONCLUSIONS

These results suggest important heterogeneity in depressive symptom trajectories among patients with KOA. Pain intensity could predict different depressive symptom trajectories in patients with KOA. Efforts to improve the depressive symptoms in patients with KOA must incorporate strategies to address pain.

Predictive Factors of Anxiety, Depression, and Health-Related Quality of Life in Community-Dwelling and Institutionalized Elderly during the COVID-19 Pandemic

The COVID-19 health emergency and restrictive measures have increased psychological problems, particularly anxiety and depression, in the general population. However, little is known about mental health conditions and the possible risk and protective factors of specific population groups, such as institutionalized vs. community-dwelling elderly. We investigated the abovementioned aspects in a sample of 65-89-year-old people during the third wave of COVID-19 in Italy. We employed a sociodemographic survey and four questionnaires on health-related quality of life (SF-36), loneliness (UCLA), spirituality (FACIT-Sp), and anxiety/depression (HADS). Our findings suggest that the physical, psychological, and spiritual well-being of the elderly had not been seriously impaired by the events related to the pandemic, although most of the participants reported a worsening of their social life and a moderate/high fear of COVID-19. In regression analyses, these two latter aspects turned out to be predictors of higher anxiety, while spiritual well-being and the possibility to get out of the house/institution emerged as protective factors against anxiety and for preserving quality of life, respectively. Our findings help refine the picture of the condition of the elderly in the aftermath of the pandemic, giving some hints about how to continue supporting their well-being and quality of life.

6-Year trajectories of depressive symptoms and incident stroke in older adults: Results from the Health and Retirement Study

BACKGROUND

Depressive symptoms (DS) can increase the risk of stroke, but it is unclear whether long-term DS trajectories are associated with incident stroke. This study aimed to explore the association of long-term DS trajectories with incident stroke.

METHODS

This prospective cohort study included 11,002 adults aged 50 and older from the Health and Retirement Study during 1994-2018. DS was assessed using the 8-item version of the Center for Epidemiologic Studies Depression Scale. Stroke was obtained through self-report of doctors' diagnosis. The group-based trajectory model was used to determine DS trajectories from 1994 to 2000. Cox proportional hazard model was applied to explore the correlation of DS trajectories with incident stroke from 2000 to 2018.

RESULTS

We identified five distinct 6-year DS trajectories. Compared with the persistent no DS trajectory, the full-adjusted HRs (95% CIs) for the persistent mild, improving, worsening, and persistent high DS trajectories were 1.15 (1.01, 1.30), 1.27 (0.88, 1.84), 1.41 (1.17, 1.71), and 1.61 (1.21, 2.16), respectively. In addition, the persistent mild DS trajectories had the largest population attributable risk percent (PAR%).

LIMITATIONS

There was a lack of information on stroke subtypes.

CONCLUSIONS

This study suggests that compared with persistent no DS, persistent mild, worsening, and persistent high DS trajectories increase the risk of stroke in the elderly. Considering that the PAR% of stroke events in the persistent mild DS trajectory is the largest, we should pay attention not only to individuals with DS, but also to those being chronically close to the cut-off value of DS.

Simultaneous employment and depressive symptom trajectories around retirement age in Chile

Objectives: Over the last decade, an increasing number of empirical studies have examined long-term patterns of depression among adults around retirement age and identified employment status as a crucial determinant. However, most research has examined associations between cross-sectional measures of employment and prospective depression patterns, overlooking the changing nature of employment statuses, particularly close to retirement age. Furthermore, most knowledge in this field comes from studies conducted in developed countries in Western Europe and North America. To address these gaps, this study examined simultaneous trajectories in the employment and depressive symptom domains among two age groups of Chileans before and after the standard retirement age. Method: Using population-representative data and longitudinal statistical methods, we identified different trajectory types among two age groups (one aged 56-65 and another aged 66-75, at baseline) and characterized them according to social and health characteristics.Results: We found that trajectories defined by permanent employment were accompanied by lower depressive symptoms than trajectories indicating either retirement or inactivity. However, trajectories combining employment and the absence of depressive symptoms were primarily followed by individuals with advantaged health and social statuses at the baseline. Conclusion: Public policies aimed at promoting the mental health of older adults through their labor market integration risk forcing individuals who have accumulated social and health disadvantages across the life course to work longer.

Community intervention programs prolong the onset of functional disability among older Japanese

Aim

This study examined the effects of a “community‐based center” intervention to prevent the onset of functional disability among residents in disaster‐affected areas.

Methods

We used data from a prospective cohort study conducted from 2010 to 2016 in Iwanuma City, Japan. Participants were community‐dwelling independent adults aged ≥65 years. The exposure variable was the experience of using a community‐based center. The outcome variable was functional disability onset. The average treatment effect on the treated (ATET) was estimated by adjusting for possible confounders. Additional analysis stratified by sex was conducted considering the sex differences in social participation rates.

Results

Among 3794 participants (mean ± SD age = 72.9 ±5.3 years, 46.0% men), 196 (5.2%) used the community‐based center, and 849 (22.4%) exhibited disability onset. Of those with functional disabilities, 40 (20.4%) used the community‐based center, while 809 (22.5%) did not. The ATET for functional disability onset with community‐based center activities across all participants were not significant (ATET: 0.51 years [95% confidence interval [CI] = −0.23; 1.27]). However, the direction of the effect of community‐based center activities differed by sex (ATET: −0.14, 95% CI = −2.59; 2.31 for men [n = 18], and 0.66, 95% CI = 0.18; 1.16 for women [n = 178]). Women exhibited a 15.63% (95% CI = 3.58; 27.68) increase in the time until functional disability onset.

Conclusions

The use of community‐based centers was associated with a longer period without functional disability in women. Geriatr Gerontol Int 2022; 22: 465–470.

Eight-Year Depressive Symptom Trajectories and Incident Stroke: A 10-Year Follow-Up of the HRS (Health and Retirement Study)

Background:

Evidence suggests a link between depressive symptoms and risk of subsequent stroke. However, most studies assess depressive symptoms at only one timepoint, with few examining this relationship using repeatedly measured depressive symptoms. This study aimed to examine the relationship between depressive symptom trajectories and risk of incident stroke.

Methods:

This prospective cohort included 12 520 US individuals aged ≥50 years enrolled in the Health and Retirement Study, free of stroke at study baseline (1998). We used the 8-item Center for Epidemiologic Studies Depression scale to assess depressive symptoms (high defined as ≥3 symptoms; low <3 symptoms) at 4 consecutive, biennial timepoints from 1998 to 2004. We assigned individuals to 5 predefined trajectories based on their scores at each timepoint (consistently low, decreasing, fluctuating, increasing, and consistently high). Using self-reported doctors’ diagnoses, we assessed incident stroke over a subsequent 10-year period from 2006 to 2016. Cox regression models estimated the association of depressive symptom trajectories with risk of incident stroke, adjusting for demographics, health behaviors, and health conditions.

Results:

During follow-up, 1434 incident strokes occurred. Compared with individuals with consistently low symptoms, individuals with consistently high depressive symptoms (adjusted hazard ratio, 1.18 [95% CI, 1.02–1.36]), increasing symptoms (adjusted hazard ratio, 1.31 [95% CI, 1.10–1.57]), and fluctuating symptoms (adjusted hazard ratio, 1.21 [95% CI, 1.01–1.46]) all had higher hazards of stroke onset. Individuals in the decreasing symptom trajectory group did not show increased stroke risk.

Conclusions:

Depressive symptom trajectories characterized by high symptoms at multiple timepoints were associated with increased stroke risk. However, a trajectory with depressive symptoms that started high but decreased over time was not associated with higher stroke risk. Given the remitting-relapsing nature of depressive symptoms, it is important to understand the relationship between depressive symptoms and stroke risk over time through repeated assessments.

sTREM2 mediates the associations of minimal depressive symptoms with amyloid pathology in prodromal Alzheimer's disease: The CABLE study

The effects of microglial activation on the associations between depression and Alzheimer's disease (AD) are still unclear. TREM2 gene plays a pivotal role in microglial activation, has been identified as a risk factor for AD. In this work, we aimed to assess the interrelationships of soluble TREM2 (sTREM2) level in cerebrospinal fluid (CSF), minimal depressive symptoms (MDSs), and CSF amyloid markers. The linear regression analyses were conducted on 796 cognitively unimpaired participants from the CABLE (Chinese Alzheimer's Biomarker and LifestylE) study. Causal mediation analyses with 10,000 bootstrapped iterations were used to test the mediation effects. In addition, similar statistical analyses were performed in subgroups stratified by sex, age, and APOE ε4 carrier status. In total subjects, MDSs were associated with lower CSF sTREM2 levels (p < 0.0001), lower CSF amyloid markers (p < 0.0001), and poorer cognitive performance (MMSE, p = 0.0014). The influence of MDSs on CSF amyloid markers was partially mediated by CSF sTREM2 (proportion from 2.91 to 32.58%, p < 0.0001). And we found that the sTREM2-amyloid pathway partially mediated the effects of MDSs on cognition. Of note, exploratory subgroup analyses showed that the above influences of CSF sTREM2 were pronounced in the APOE ε4 (-) group. These results suggest that early depression is associated with amyloid pathology, which might be partly mediated by microglial activation, especially in the absence of APOE ε4.

Factors associated with depression across age groups of older adults: The Singapore Chinese health study

OBJECTIVES

We studied sociodemographic and health factors associated with depression across three age groups of community-dwelling older adults.

METHODS/DESIGN

We used data from 16,785 participants from the third follow-up of the Singapore Chinese Health Study (mean age: 73, range: 61-96 years). We defined depression as having a score of ≥5 using the 15-item Geriatric Depression Scale. We used regression splines to examine the pattern of depression risk with age and applied multivariable logistic regression to study factors associated with depression.

RESULTS

Increasing age was associated with depression in an inverted J-shape relationship with the highest odds ratio (OR) at age 75. Compared to the youngest-old (<70 years), the middle-old (70-80 years) had higher odds of depression [OR = 1.20, 95% confidence interval (CI) = 1.09-1.31], while the oldest-old (>80 years) had no increased risk (OR = 1.01, 95% CI = 0.89-1.15). We also found demographic (men, lower education, unemployment), social (living alone, poor social support, no social activity) and health factors (instrumental limitations, poor physical function, function-limiting pain, chronic diseases, cognitive impairment, poor sleep quality, poor self-rated health) associated with depression. In stratified analysis by age groups, the OR estimates for lower education level, instrumental limitations and cognitive impairment decreased with age, whereas the risk of depression for men increased with age (all p-values for interaction<0.03).

CONCLUSIONS

Compared to the youngest-old, the likelihood of depression was highest among middle-old adults and decreased to null in the oldest-old. The associations between some factors and depression were attenuated with age, suggesting a coping mechanism among oldest-old survivors.

Trajectories of depressive symptoms and subsequent cognitive decline in older adults: a pooled analysis of two longitudinal cohorts

BACKGROUND

the course of depression is variable, but it is unknown how this variability over time affects long-term cognitive decline.

OBJECTIVE

to examine the relationship of different trajectories of depressive symptoms on rates of subsequent cognitive decline in older adults.

DESIGN

population-based cohort study.

SETTING

communities in the USA and England.

SUBJECTS

17,556 older adults from the Health and Retirement Study and the English Longitudinal Study of Ageing.

METHODS

depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale, and trajectories were calculated using group-based trajectory modelling. Global cognitive function and three cognitive domains of memory, executive function and temporal orientation were assessed for up to 18 years.

RESULTS

five trajectories of depressive symptoms were identified. Compared with the 'non-depressed' trajectory, the 'worsening depressive symptoms' trajectory (pooled β = -0.016 standard deviation (SD)/year, 95% confidence interval (CI): -0.021 to -0.010), 'persistent depressive symptoms' trajectory (pooled β = -0.016 SD/year, 95% CI: -0.024 to -0.008), and 'mild depressive symptoms' trajectory (pooled β = -0.008 SD/year, 95% CI: -0.014 to -0.003) were associated with faster rates of cognitive decline, while no such association was found for the 'improving depressive symptoms' trajectory (pooled β = 0.001 SD/year, 95% CI: -0.010 to 0.012).

CONCLUSIONS

subthreshold depressive symptoms are associated with an increased rate of cognitive decline, while individuals who show improving depressive symptoms do not exhibit accelerated cognitive decline. These findings raise the possibility that maintaining depressive symptoms as low as possible and ignoring the clinical threshold, might mitigate cognitive decline in older adults.

Using major depression polygenic risk scores to explore the depressive symptom continuum

BACKGROUND

Major depression (MD) is often characterised as a categorical disorder; however, observational studies comparing sub-threshold and clinical depression suggest MD is continuous. Many of these studies do not explore the full continuum and are yet to consider genetics as a risk factor. This study sought to understand if polygenic risk for MD could provide insight into the continuous nature of depression.

METHODS

Factor analysis on symptom-level data from the UK Biobank (N = 148 957) was used to derive continuous depression phenotypes which were tested for association with polygenic risk scores (PRS) for a categorical definition of MD (N = 119 692).

RESULTS

Confirmatory factor analysis showed a five-factor hierarchical model, incorporating 15 of the original 18 items taken from the PHQ-9, GAD-7 and subjective well-being questionnaires, produced good fit to the observed covariance matrix (CFI = 0.992, TLI = 0.99, RMSEA = 0.038, SRMR = 0.031). MD PRS associated with each factor score (standardised β range: 0.057-0.064) and the association remained when the sample was stratified into case- and control-only subsets. The case-only subset had an increased association compared to controls for all factors, shown via a significant interaction between lifetime MD diagnosis and MD PRS (p value range: 2.23 × 10^-3-3.94 × 10^-7).

CONCLUSIONS

An association between MD PRS and a continuous phenotype of depressive symptoms in case- and control-only subsets provides support against a purely categorical phenotype; indicating further insights into MD can be obtained when this within-group variation is considered. The stronger association within cases suggests this variation may be of particular importance.

Age and sex trends in depressive symptoms across middle and older adulthood: Comparison of the Canadian Longitudinal Study on Aging to American and European cohorts

BACKGROUND

The literature suggests depressive symptoms differ in a non-linear fashion across adulthood and are more commonly reported in women as compared to men. Whether these trends are observed across countries in population-based cohorts is unclear.

METHODS

Cross-sectional observational study of approximately 138,000 women and men between the ages of 45 and 95 from three population-based cohorts representing Canadian, European, and American populations. Age, gender, educational attainment and annual income were assessed in each cohort. Depressive symptoms were assessed by the Center for Epidemiological Studies Depression Scale in the US and Canadian cohorts, and by the EURO-D in the European cohort.

RESULTS

Across all three cohorts, non-linear age trends and gender differences were observed in the report of depressive symptoms, independent from educational attainment and annual income effects. The non-linear age trends reflected a negative association between depressive symptoms and age during midlife and then a positive association in late life. Females reported greater depressive symptoms than males; however, an interaction between gender and age was also observed in the Canadian and European cohorts. Among Canadians, the gender differences were largest after age 70, whereas among Europeans, gender differences where largest among those approximately aged 60.

LIMITATIONS

Limitations include: 1) the cross-sectional nature of the study, resulting in age differences potentially reflecting cohort effects rather than a developmental process; and 2) the use of different depressive symptoms measures across cohorts.

CONCLUSIONS

Characterization of depressive symptoms over mid and late adulthood in women and men provides insights into potential focal points for intervention and allocation of resources.

Trajectories of Depressive Symptoms and Incident Diabetes: A Prospective Study

BACKGROUND

Elevated depressive symptoms are associated with an increased risk for diabetes. Depression is a heterogeneous and chronic condition in which symptoms may remit, emerge, lessen, or intensify over time.

PURPOSE

The purpose of this study was to determine if trajectories of depressive symptoms measured at five time points over 8 years predicted incident diabetes over an 8-year follow-up in middle-aged and older adults. A secondary aim was to determine if trajectories of depressive symptoms predict incident diabetes, above and beyond depressive symptoms measured at a single time point.

METHODS

Data came from the Health and Retirement Study (n = 9,233). Depressive symptoms were measured biennially from 1998 to 2006. Self-reported incident diabetes was measured during an 8-year follow-up.

RESULTS

Five trajectories of depressive symptoms were identified (no depressive symptoms, low depressive symptoms, low-moderate depressive symptoms, moderate depressive symptoms, elevated and increasing depressive symptoms). Compared to the no depressive symptoms trajectory group (referent), all other trajectory groups were at higher risk of developing diabetes after adjusting for covariates. In most cases, trajectory group membership was associated with incident diabetes after controlling for depressive symptoms at a single time point.

CONCLUSIONS

Patterns of depressive symptoms over time were associated with incident diabetes. Patterns of depressive symptoms may be more predictive of diabetes incidence than depressive symptoms measured at a single time point.

Combined effect of daily physical activity and social relationships on sleep disorder among older adults: cross-sectional and longitudinal study based on data from the Kasama study

Background

This study investigated whether daily physical activity of older adults, combined with social relationships, is associated with the risk of sleep disorder. Further, it determined whether a high level of one variable with a low level of the other, leads to a significantly lower risk of sleep disorder than low levels of both.

Methods

The sample comprised 1339 community-dwelling older Japanese adults: 988 in Study 1 and 351 in Study 2. The level of daily physical activity and range of social relationships were assessed using the Physical Activity Scale for the Elderly and the Lubben Social Network Scale, respectively. The Pittsburgh Sleep Quality Index was used to assess sleep disorder. To test the combined relationships and effects in Studies 1 and 2, the medians for the respective scores of each of the following four groups that the participants were categorized into, were calculated: (1) low activity group with low social relationships, (2) low activity group with high social relationships, (3) high activity group with low social relationships, and (4) high activity group with high social relationships. After adjusting for potential confounders, a logistic regression analysis was conducted in Study 1. After adjusting for potential confounders, a Cox proportional hazards regression analysis was conducted in Study 2.

Results

Study 1 revealed that the high activity group with high social relationships showed a significantly lower risk of sleep disorder (ORs: 0.585, 95% CI: 0.404–0.847) than the low activity group with low social relationships. Study 2 also revealed that the high activity group with high social relationships showed a significantly lower prevalence of sleep disorder (HRs: 0.564, 95% CI: 0.327–0.974) than the low activity group with low social relationships.

Conclusions

Our findings suggest that for older adults with high social relationships, being physically active is favorably associated with sleep quality. However, a high level of one variable with a low level of the other has not been confirmed in improving sleep quality among older adults.

Latent class growth modeling of depression and anxiety in older adults: an 8-year follow-up of a population-based study

BACKGROUND

Depression and anxiety are common mental health conditions in the older adult population. Understanding the trajectories of these will help implement treatments and interventions.

AIMS

This study aims to identify depression and anxiety trajectories in older adults, evaluate the interrelationship of these conditions, and recognize trajectory-predicting characteristics.

METHODS

Group-based dual trajectory modeling (GBDTM) was applied to the data of 3983 individuals, aged 65 years or older who participated in the Korean Health Panel Study between 2008 and 2015. Logistic regression was used to identify the association between characteristics and trajectory groups.

RESULTS

Four trajectory groups from GBDTM were identified within both depression and anxiety outcomes. Depression outcome fell into "low-flat (87.0%)", "low-to-middle (8.8%)", "low-to-high (1.3%)" and "high-stable (2.8%)" trajectory groups. Anxiety outcome fell into "low-flat (92.5%)", "low-to-middle (4.7%)", "high-to-low (2.2%)" and "high-curve (0.6%)" trajectory groups. Interrelationships between depression and anxiety were identified. Members of the high-stable depression group were more likely to have "high-to-low" or "high-curved" anxiety trajectories. Female sex, the presence of more than three chronic diseases, and being engaged in income-generating activity were significant predictors for depression and anxiety.

CONCLUSIONS

Dual trajectory analysis of depression and anxiety in older adults shows that when one condition is present, the probability of the other is increased. Sex, having more than three chronic diseases, and not being involved in income-generating activity might increase risks for both depression and anxiety. Health policy decision-makers may use our findings to develop strategies for preventing both depression and anxiety in older adults.

Depression, anxiety, and fear of death in postmenopausal women

OBJECTIVE

This study aimed to determine the frequency of depression in postmenopausal women, examine some variables that are thought to be related, and evaluate the relationships between postmenopausal depression, anxiety, and fear of death.

METHODS

The study is a cross-sectional study conducted among postmenopausal women who applied to an Obstetrics and Gynecology Polyclinic in Sakarya, Turkey, between March and September 2018. The study group consisted of 485 postmenopausal women. For statistical analysis, the chi-square test, logistic regression analysis, Mann-Whitney U test, and Spearman correlation analysis were used. Values of P ≤ 0.05 were accepted as statistically significant.

RESULTS

The ages of the participants ranged between 35 and 78 years, and the average was 56.33 ± 7.34 years. Being a widow or separated from one's partner (odds ratio [OR]: 3.478), alcohol consumption (OR: 11.772), any history of illness that required continuous medication (OR: 3.579), presence of any physical disability (OR: 2.242), history of any mental disorder with a physician's diagnosis (OR: 4.213), and number of living children 4 or more (OR: 4.174) were found to be important risk factors for postmenopausal depression. A moderate positive correlation was found between the depression scale and the scores obtained from the anxiety scale (r = 0.467; P = 0.001). No difference was found between participants with and without depression in terms of fear of death.

CONCLUSION

Depression among postmenopausal women is an important health problem that needs to be studied further. No relation was found between depression and fear of death. These results will be beneficial for raising awareness about depression among postmenopausal women and conducting screening for early diagnosis.

Trajectories of Depressive Symptoms Experienced by Older People: Effects of Time, Hurricane Sandy, and the Great Recession

OBJECTIVES

To examine depressive symptom trajectories as a function of time and exposure to Hurricane Sandy, accounting for the effects of the Great Recession.

METHODS

We analyzed 6 waves of data from a 12-year panel using latent class growth models and multinomial logistic regression.

RESULTS

We identified 4 groups of people experiencing different trajectories of depressive symptoms. The groups differed on baseline characteristics (gender, age, education, income, race), history of diagnosed depression, and initial level of depressive symptoms. The group with the highest levels of depressive symptoms reported greater levels of peri-traumatic stress exposure to Hurricane Sandy.

DISCUSSION

Depressive symptoms increased as a function of the Great Recession, but exposure to Hurricane Sandy was not associated with subsequent increases in depressive symptoms for any of the 4 groups. People who consistently experienced high levels of depressive symptoms over time reported the highest levels of peri-traumatic stress during Hurricane Sandy. Findings highlight the importance of accounting for historical trends when studying the effects of disaster, identify people likely to be at risk during a disaster, and provide novel information about the causal relationship between exposure to disaster and depressive symptoms.

Amyloid Pathologies Modulate the Associations of Minimal Depressive Symptoms With Cognitive Impairments in Older Adults Without Dementia

BACKGROUND

The relationship between depression and Alzheimer's disease (AD) is complex and still not well understood. We aimed to examine the roles of the AD core pathologies in modulating the associations of minimal depressive symptoms (MDSs) with cognitive impairments.

METHODS

A total of 721 participants who had measures of cognition, depressive symptoms, and cerebrospinal fluid AD biomarkers were included from the CABLE (Chinese Alzheimer's Biomarker and LifestylE) study. Causal mediation analyses with 10,000 bootstrapped iterations were conducted to explore the mediation effects of AD pathologies on cognition. The ADNI (Alzheimer's Disease Neuroimaging Initiative) was used 1) to replicate the mediation effects and 2) to examine the longitudinal relationships of MDSs with amyloid pathology and incident AD risk.

RESULTS

In CABLE, MDSs were associated with poorer global cognition (p = .006) and higher amyloid burden as indicated by cerebrospinal fluid amyloid markers (p < .0001). The influence of MDSs on cognition was partially mediated by amyloid pathology (a maximum of 85%). The mediation effects were replicated in 725 elderly persons without dementia (age, mean ± SD = 73.5 ± 6.9 years; 301 female subjects [42%]) in ADNI, such that the mediation percentage varied from 10% to 30% for general cognition, memory, and executive functions. Longitudinal analyses revealed a bidirectional relationship between MDSs and amyloid pathology (p = .01). MDSs were associated with 83% increased risk of developing AD dementia (hazard ratio = 1.83, p < .01).

CONCLUSIONS

Overall, amyloid pathology might partially mediate and magnify the influences of MDSs on cognitive impairments and AD risk.

Anxiety in Late-Life Depression: Determinants of the Course of Anxiety and Complete Remission

OBJECTIVE

Studies on the course of depression often ignore comorbid anxiety disorders or anxiety symptoms. We explored predictors of complete remission (no depression nor anxiety diagnoses at follow-up) and of the course of comorbid anxiety symptoms. We additionally tested the hypothesis that the course of anxiety disorders and symptoms in depressed patients is explained by negative life-events in the presence of high neuroticism or a low sense of mastery.

METHODS

An observational study of 270 patients (≥60 years) diagnosed with major depressive disorder and 2-year follow-up data, who participated in the Netherlands Study of Depression in Older persons (NESDO). Sociodemographic, somatic, psychiatric, and treatment variables were first explored as possible predictors. A multiple logistic regression analysis was used to examine their predictive value concerning complete remission. Subsequently, negative life-events, personality and their interaction were tested as potential predictors. Linear Mixed Models were used to assess whether the personality traits modified the effect of early and recent life-events, and time and their interactions on the course of the anxiety symptoms.

RESULTS

A total of 135 of 270 patients achieved complete remission. Depressed patients with a comorbid anxiety disorder at baseline less often achieved complete remission: 38 of 103 (37.0%) versus 97 of 167 (58.1%). The severity of depressive and anxiety symptomatology, the presence of a comorbid anxiety disorder, and a poorer physical health at baseline predicted nonremission. In line with our hypothesis, a less favorable course of self-reported anxiety symptoms was associated with more recent negative life-events, but only among patients with a high level of neuroticism or a low level of mastery.

CONCLUSION

Comorbid anxiety in depression as a negative impact on complete remission at 2-year follow-up. The course of anxiety severity seems dependent on the interaction of personality traits and life-events.

Association of remote traumatic brain injury and military employment with late-life trajectories of depressive symptom severity

BACKGROUND

Traumatic brain injury (TBI) and military service are common lifetime exposures among current older adults that may affect late-life mental health. The objective of the present study was to evaluate the association between TBI with loss of consciousness (LOC) and military employment and late-life depressive symptom severity trajectory.

METHODS

1445 males and 2096 females adults at least 65 years old without dementia or recent TBI were enrolled and followed biennially for up to 10 years in the Adult Changes in Thought study from Kaiser Permanente Washington in Seattle, Washington.

RESULTS

Using group-based trajectory modeling, we documented four distinct depressive symptom severity trajectories that followed a similar course in males and females (Minimal, Decreasing, Increasing, and Persistent). In multinomial regression analyses, TBI with LOC in males was associated with greater likelihood of Persistent versus Minimal depressive symptom severity compared to individuals without TBI (OR = 1.51, 95% CI: 1.01, 2.27; p=0.046). Males reporting past military employment had greater likelihood of Decreasing versus Minimal depressive symptom severity compared to individuals without past military employment (OR = 1.54, 95% CI: 1.03, 2.31; p=0.035). There was no association between TBI or military employment and depression trajectories in females, and no evidence of effect modification by age or between exposures.

LIMITATIONS

Lifetime history of TBI was ascertained retrospectively and may be subject to recall bias. Also, past military employment does not presuppose combat exposure.

CONCLUSIONS

Remote TBI and past military employment are relevant to late-life trajectories of depressive symptom severity in dementia-free older males.

Measuring diagnostic heterogeneity using text-mining of the lived experiences of patients

BACKGROUND

The diagnostic system is fundamental to any health discipline, including mental health, as it defines mental illness and helps inform possible treatment and prognosis. Thus, the procedure to estimate the reliability of such a system is of utmost importance. The current ways of measuring the reliability of the diagnostic system have limitations. In this study, we propose an alternative approach for verifying and measuring the reliability of the existing system.

METHODS

We perform Jaccard's similarity index analysis between first person accounts of patients with the same disorder (in this case Major Depressive Disorder) and between those who received a diagnosis of a different disorder (in this case Bulimia Nervosa) to demonstrate that narratives, when suitably processed, are a rich source of data for this purpose. We then analyse 228 narratives of lived experiences from patients with mental disorders, using Python code script, to demonstrate that patients with the same diagnosis have very different illness experiences.

RESULTS

The results demonstrate that narratives are a statistically viable data resource which can distinguish between patients who receive different diagnostic labels. However, the similarity coefficients between 99.98% of narrative pairs, including for those with similar diagnoses, are low (< 0.3), indicating diagnostic Heterogeneity.

CONCLUSIONS

The current study proposes an alternative approach to measuring diagnostic Heterogeneity of the categorical taxonomic systems (e.g. the Diagnostic and Statistical Manual, DSM). In doing so, we demonstrate the high Heterogeneity and limited reliability of the existing system using patients' written narratives of their illness experiences as the only data source. Potential applications of these outputs are discussed in the context of healthcare management and mental health research.

Depressive Symptoms Imputed Across the Life Course Are Associated with Cognitive Impairment and Cognitive Decline

BACKGROUND

Depressive symptoms may increase risk for dementia, but findings are controversial because late-life depression may be a prodromal dementia symptom. Life course data on depression and dementia risk may clarify this association; however, data is limited.

OBJECTIVE

To impute adult depressive symptoms trajectories across adult life stages and estimate the association with cognitive impairment and decline.

METHODS

Using a pooled study of 4 prospective cohorts (ages 20-89), we imputed adult life course depressive symptoms trajectories based on Center for Epidemiologic Studies Depression Scale-10 (CESD-10) and calculated time-weighted averages for early adulthood (ages 20-49), mid-life (ages 50-69), and late-life (ages 70-89) for 6,122 older participants. Adjusted pooled logistic and mixed-effects models estimated associations of imputed depressive symptoms with two cognitive outcomes: cognitive impairment defined by established criteria and a composite cognitive score.

RESULTS

In separate models, elevated depressive symptoms in each life stage were associated with cognitive outcomes: early adulthood OR for cognitive impairment = 1.59 (95%CI: 1.35,1.87); mid-life OR = 1.94 (95%CI:1.16, 3.26); and late-life OR = 1.77 (95%CI:1.42, 2.21). When adjusted for depressive symptoms in the other life-stages, elevated depressive symptoms in early adulthood (OR = 1.73; 95%CI: 1.42,2.11) and late-life (OR = 1.43; 95%CI: 1.08,1.89) remained associated with cognitive impairment and were also associated with faster rates of cognitive decline (p < 0.05).

CONCLUSION

Imputing depressive symptom trajectories from pooled cohorts may help expand data across the life course. Our findings suggest early adulthood depressive symptoms may be a risk factor for cognitive impairment independent of mid- or late-life depressive symptoms.

Is Strength Training as Effective as Aerobic Training for Depression in Older Adults? A Randomized Controlled Trial

BACKGROUND

This study aimed to compare the effects of aerobic training (AT), strength training (ST) and low-intensity exercise in a control group (CG) as adjunct treatments to pharmacotherapy for major depressive disorder (MDD) in older persons.

METHODS

Older persons clinically diagnosed with MDD (n = 27) and treated with antidepressants were blindly randomized into three groups: AT, ST and a CG. All patients were evaluated prior to and 12 weeks after the intervention.

RESULTS

Compared with the CG, the AT and ST groups showed significant reductions in depressive symptoms (treatment -response = 50% decrease in the pre- to postintervention assessment) through the Hamilton Depression Rating Scale (AT group: χ2, p = 0.044) and Beck Depression Inventory (ST group: χ2, p = 0.044).

CONCLUSION

Adding AT or ST with moderate intensity to the usual treatment promoted a greater reduction of MDD symptoms.

Evidence for causal effects of lifetime smoking on risk for depression and schizophrenia: a Mendelian randomisation study

BACKGROUND

Smoking prevalence is higher amongst individuals with schizophrenia and depression compared with the general population. Mendelian randomisation (MR) can examine whether this association is causal using genetic variants identified in genome-wide association studies (GWAS).

METHODS

We conducted two-sample MR to explore the bi-directional effects of smoking on schizophrenia and depression. For smoking behaviour, we used (1) smoking initiation GWAS from the GSCAN consortium and (2) we conducted our own GWAS of lifetime smoking behaviour (which captures smoking duration, heaviness and cessation) in a sample of 462690 individuals from the UK Biobank. We validated this instrument using positive control outcomes (e.g. lung cancer). For schizophrenia and depression we used GWAS from the PGC consortium.

RESULTS

There was strong evidence to suggest smoking is a risk factor for both schizophrenia (odds ratio (OR) 2.27, 95% confidence interval (CI) 1.67-3.08, p < 0.001) and depression (OR 1.99, 95% CI 1.71-2.32, p < 0.001). Results were consistent across both lifetime smoking and smoking initiation. We found some evidence that genetic liability to depression increases smoking (β = 0.091, 95% CI 0.027-0.155, p = 0.005) but evidence was mixed for schizophrenia (β = 0.022, 95% CI 0.005-0.038, p = 0.009) with very weak evidence for an effect on smoking initiation.

CONCLUSIONS

These findings suggest that the association between smoking, schizophrenia and depression is due, at least in part, to a causal effect of smoking, providing further evidence for the detrimental consequences of smoking on mental health.

Trajectories of Depression and Their Predictors in a Population-Based Study of Korean Older Adults

The aim of this study was to determine trajectories of depression in older adults and to identify predictors of membership in the different trajectory groups. A total of 3983 individuals aged 65 or older were included. Latent class growth models were used to identify trajectory groups. Of 3983 individuals, 2269 (57%) were females, with a mean baseline age of 72.4 years (SD = 6 years). Four depression trajectories were identified across 8 years of follow-up: "low-flat" (n = 3636; 86.6%), "low-to-middle" (n = 214; 9.2%), "low-to-high" (n = 31; 1.3%), and "high-stable" (n = 102; 2.9%). Compared to the low-flat depression group, high-stable depression group members were more likely to be female, have three or more chronic diseases, and were more likely not to own a home. Our findings will assist health policy decision-makers in planning intervention programs targeting those most likely to experience persistent depression in order to improve psychological well-being in the elderly.

Changes in excessive alcohol use among older women across the menopausal transition: a longitudinal analysis of the Study of Women's Health Across the Nation

Background

Recent data suggest that excessive alcohol use is increasing among women and older adults. Such trends are concerning, as women are more vulnerable to alcohol-related health consequences, and such health problems may be exacerbated with age. Furthermore, there are sex-specific factors that may influence alcohol consumption among women, including the hormonal changes associated with the menopausal transition and negative affect. The present study sought to investigate transitions in excessive drinking among women across the menopausal transition and included exploration of sex hormones (estradiol; testosterone) and depression.

Methods

The present study utilized publicly available data from the Study of Women Across the Nation (SWAN) and included 3302 women (42–52 years old at baseline), who completed 10 years of annual assessments. National Institute on Alcohol Abuse and Alcoholism (NIAAA) criteria were used as guidance when defining excessive drinking within the present dataset. At year 1, 170 women were identified as drinking excessively. Random-effect logistic regressions were used to examine transitions in excessive drinking.

Results

Women identified as excessive drinkers were more likely to transition to non-excessive drinking across all menopausal transition stages (ORs range = 3.71–5.11), while women were more likely to transition from non-excessive to excessive drinking during the early peri- and postmenopausal stages (OR = 1.52 and 1.98, respectively). Higher testosterone levels were associated with a decreased likelihood of transitioning to non-excessive drinking (OR = 0.59). Depression and estradiol levels were not related to transitions in drinking.

Conclusions

The present study demonstrates that the menopausal transition marks a period of instability in alcohol use among women. Further research is warranted to understand factors related to transitioning in and out of excessive drinking.

Change of depressive symptoms in a French nine-year longitudinal study of aging: Gender differences and relationships between social support, health status and depressive symptoms

OBJECTIVES

The aims of this study were to examine the trajectory of depressive symptoms among older French people, to investigate the role of gender in the developmental trajectory of depressive symptoms and to explore whether the linear increase in depressive symptoms might be accentuated or attenuated at time points during which the older adults' scores on social support and health satisfaction scales were higher than their individual averages.

METHODS/MATERIALS

Data were used from a subsample of older adults living at home who participated in a longitudinal study initiated by researchers from the University of Tours. They were collected at five time points over a 9-year period (T1: 2003; T2: 2005; T3: 2007; T4: 2009; T5: 2011). This study included 707 participants, and multilevel growth curve analysis was used on measures of depressive symptoms, gender differences, social support and health satisfaction.

RESULTS

Results indicated (1) a significant positive linear effect of age on depressive symptoms; (2) that women reported significantly higher scores of depressive symptoms than men at 63 years old (i.e., intercept) and that this gender difference remained constant across age; (3) that the slope of depressive symptoms appeared to increase at time points during which participants had higher levels of social support and to decrease when they had greater health satisfaction.

CONCLUSION

This study provides pertinent information about the change of depressive symptoms in older people living at home and particularly highlights the interest in studying gender, social support and health satisfaction.

Interaction between worsening cognitive function and deteriorating functional status on depressive symptoms among Chinese community-dwelling elders

AIM

Cognitive impairment and functional deterioration are common in later life and often co-occur with depressive symptoms (DS). This study aims to examine the individual effects and possible interaction between worsening cognitive function (CF) and deteriorating functional status (FS) on DS using large sample, longitudinal data.

METHODS

Elderly people who completed the baseline survey of China Health and Retirement Longitudinal Study (CHARLS 2011) and the third wave survey (2015) were included. A multivariable logistic regression model was used to assess the individual effects. The relative excess risk due to interaction (RERI), the attributable proportion due to interaction (AP) and synergy index (SI) were calculated to evaluate the additive interaction.

RESULTS

Worsening CF and deteriorating FS were associated with the increase in DS, while unchanged or improved CF and FS were associated with the decrease in DS. In addition, decreased (increased) FS led to more severe (improved) DS than decreased (increased) CF. The additive interaction between worsening CF and deteriorating FS on the increase in DS was significant. The estimates and 95% CI of the RERI, AP and SI were 0.626 (0.061, 1.190), 0.222 (0.042, 0.402) and 1.526 (1.016, 2.291) respectively.

CONCLUSIONS

Both worsening CF and deteriorating FS have positive interactions with the increase in DS. It is vital to focus on DS of elderly people with worsening CF and/or FS and to adopt interventions. Geriatr Gerontol Int 2020; 20: 343-347.

Associations between depressive symptoms, cigarette smoking, and cardiovascular health: Longitudinal results from CARDIA

INTRODUCTION

Depression is associated with increased risk of incident and recurrent cardiovascular disease, while the association between depression and cardiovascular health (CVH) remains unknown. Because the natural course of depression varies widely, different patterns of depression, as well as co-occurring factors such as cigarette smoking, may influence this relationship. We examined potential interactions between longitudinal patterns of depression and smoking with CVH.

METHODS

Using data from the Coronary Artery Risk Development in Young Adults (CARDIA) study, we modeled trajectories of depression (Center for Epidemiologic Studies Depression scale scores; Years 5, 10, 15, 20) and smoking (cigarettes/day; Years 0, 2, 5, 7, 10, 15, 20). We calculated a modified American Heart Association (AHA) CVH Score (weight, blood glucose, cholesterol, blood pressure, physical activity, and diet; Year 20); higher scores indicate better CVH. Generalized linear models evaluated associations between depression trajectories, smoking trajectories, and their interaction with CVH Score.

RESULTS

The depression trajectory x smoking trajectory interaction was not associated with CVH Score, but main effects of depression trajectory (p < .001) and smoking trajectory (p < .001) were observed. Participants with patterns of subthreshold depression (β = -0.26, SE=0.08), increasing depression (β = -0.51 SE = 0.14), and high depression (β = -0.65, SE = 0.32) had lower CVH Scores than those without depression. Compared to never smokers, participants who quit smoking had higher CVH Scores (β = 0.38, SE = 0.11), while participants with the greatest smoking exposure had lower CVH Scores (β = -0.49, SE = 0.22).

LIMITATIONS

CVH Scores were adapted from the AHA guidelines based on the available CARDIA data.

CONCLUSIONS

Deleterious depression and smoking trajectories are independently but not synergistically associated with worse CVH.

Inflammatory and metabolic disturbances are associated with more severe trajectories of late-life depression

Late-life depression is a highly prevalent mental health condition with devastating consequences even from its earliest stages. Alterations in physiological functions, such as inflammatory and metabolic, have been described in patients with depression. However, little is known on the association between depression symptom course and metabolic and inflammation dysregulation. This study aimed to depict the course of depression symptoms while ageing, taking into consideration inter-individual heterogeneity. Moreover, it intended to study the associations between inflammatory and metabolic risk profiles and symptom trajectories. To do so, data from 13,203 adults aged 50-90 years (52.75% women; mean age at baseline = 65.07, SD = 10.00) were used. Blood sample and blood pressure measures were taken from 1536 participants (56.58% women; mean age at baseline = 61.73 years, sd = 7.64). Depression symptoms were assessed every two years across a 10-year follow-up. Trajectories were identified by means of latent class mixed modelling. Inflammation and metabolic risk profile scores were obtained from plasma and diagnostic-based indicators in the follow-up, using a robust latent-factor approach. Multigroup modelling was used to study the associations between the profiles and symptom trajectories. As a result, three heterogeneous trajectories of symptoms were identified (low-symptom, moderate-symptom and high-symptom trajectory). Participants depicting a high-symptom trajectory showed the greatest inflammation profile score and high metabolic risk. Moderate-symptom trajectory was also related to high inflammation and metabolic risk. To sum up, at-risk trajectories of symptoms were associated with high inflammation and risk of metabolic diseases. This study provides valuable evidence to advance personalised medicine and mental health precision, considering person-specific profiles and physiological concomitants.

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.

Co-occurrence of depressive, anxiety, and somatic symptoms: trajectories from adolescence to midlife using group-based joint trajectory analysis

BACKGROUND

Co-occurrence of mental and somatic symptoms is common, and recent longitudinal studies have identified single trajectories of these symptoms, but it is poorly known whether the symptom trajectories can also co-occur and change across the lifespan. We aimed to examine co-occurring symptoms and their joint trajectories from adolescence to midlife.

METHODS

Longitudinal data were derived from Northern Sweden, where 506 girls and 577 boys aged 16 years participated at baseline in 1981 (99.7% of those initially invited), and have been followed up in four waves until the age of 43. Survey data were collected about depressive, anxiety, and somatic symptoms. Potential joint development of this three-component symptom set was examined with multiple response trajectory analysis, a method that has not been previously used to study co-occurrence of these symptoms.

RESULTS

We identified a five trajectory solution as the best: "very low" (19%), "low" (31%), "high" (22%), "late sharply increasing" (16%) and a "very high increasing" (12%). In the "late sharply increasing" and "very high increasing" groups the scores tended to increase with age, while in the other groups the levels were more stable. Overall, the results indicated that depressive, anxiety, and somatic symptoms co-exist from adolescence to midlife.

CONCLUSIONS

The multiple response trajectory analysis confirmed high stability in the co-occurrence of depressive, anxiety, and somatic symptoms from adolescence to midlife. Clinicians should consider these findings to detect symptoms in their earliest phase in order to prevent the development of co-occurring high levels of symptoms.

Social participation as an indicator of successful aging: an overview of concepts and their associations with health

Objectives Social participation has generated a wealth of research in gerontology, but the concept suffers from a lack of conceptual clarity that renders it difficult to define and measure. This means that research on social participation is difficult to compare directly. The aim of the present study was to draw the literature on social participation in older adults together to inform health services researchers seeking to investigate social participation as an indicator of successful aging. Methods A narrative review of studies investigating the association between social participation and health in adults aged 65 years and older was conducted. Results Three concepts of social participation (i.e. social connections, informal social participation and volunteering) were defined, their measurement instruments described and evidence of their associations with health explored. All three concepts have demonstrated associations with an array of health indicators. Prospective studies reveal that social participation at baseline is positively associated with mental and physical health. Conclusion A model of social participation on health is presented, showing the evidence that all three concepts contribute to the association between social participation and health through their shared mechanisms of social support and social cohesion with the wider community. Using an instrument that can be separated into these three distinct concepts will assist health services researchers to determine the relative effect of each form of participation on the health of older adults. What is known about the topic? Social participation has generated a wealth of research in gerontology. The scope of the literature on social participation is broad and the concepts diverse. For this reason, most previous systematic reviews have been unable to comprehensively assess the effect of all concepts of social participation on health. This means the research on social participation is difficult to compare directly, and indicators of social participation in older adults are difficult for policy makers to select. What does this paper add? This paper overviews the three concepts of social participation, their methods of measurement and their associations with health in older adults. We present a model of social participation that incorporates all three concepts of social participation and their effects on health. We argue that the use of a measure that can be segmented into each of the three forms of social participation will predict more of the variance in health outcomes than any measure on its own. What are the implications for practitioners? Enhancing the social participation of older adults is a key factor in successful aging that many older adults value. However, many service provision organisations tend to focus on meeting the specific physical needs of clients, rather than targeting services that connect older adults with their community. Targeting social participation may present one of the greatest opportunities to improve older adults' general health, and will also generate societal benefits by increasing community contributions from this group. Selecting an indicator of social participation that measures each of the three concepts overviewed in this paper will enable policy makers to identify the areas in which social interventions for older adults will have the most effect.

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.