Multiple trajectories of depressive symptoms in middle and late life: racial/ethnic variations

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 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.

Regression with race-modifiers: towards equity and interpretability

The pervasive effects of structural racism and racial discrimination are well-established and offer strong evidence that the effects of many important variables on health and life outcomes vary by race. Alarmingly, standard practices for statistical regression analysis introduce racial biases into the estimation and presentation of these race-modified effects. We introduce abundance-based constraints (ABCs) to eliminate these racial biases. ABCs offer a remarkable invariance property: estimates and inference for main effects are nearly unchanged by the inclusion of race-modifiers. Thus, quantitative researchers can estimate race-specific effects "for free"-without sacrificing parameter interpretability, equitability, or statistical efficiency. The benefits extend to prominent statistical learning techniques, especially regularization and selection. We leverage these tools to estimate the joint effects of environmental, social, and other factors on 4th end-of-grade readings scores for students in North Carolina (n = 27, 638) and identify race-modified effects for racial (residential) isolation, PM2.5 exposure, and mother's age at birth.

Regression with race-modifiers: towards equity and interpretability

The pervasive effects of structural racism and racial discrimination are well-established and offer strong evidence that the effects of many important variables on health and life outcomes vary by race. Alarmingly, standard practices for statistical regression analysis introduce racial biases into the estimation and presentation of these race-modified effects. We introduce abundance-based constraints (ABCs) to eliminate these racial biases. ABCs offer a remarkable invariance property: estimates and inference for main effects are nearly unchanged by the inclusion of race-modifiers. Thus, quantitative researchers can estimate race-specific effects "for free"-without sacrificing parameter interpretability, equitability, or statistical efficiency. The benefits extend to prominent statistical learning techniques, especially regularization and selection. We leverage these tools to estimate the joint effects of environmental, social, and other factors on 4th end-of-grade readings scores for students in North Carolina (n = 27, 638) and identify race-modified effects for racial (residential) isolation, PM2.5 exposure, and mother's age at birth.

Racial/ethnic/gender-Based Differences in Health Trajectories Among American Older Adults: 10-Year Longitudinal Evidence from the Health and Retirement Study

Health disparity by race/ethnicity or gender has been well-documented. However, few researchers have examined health outcomes based on the intersection of individuals' race, ethnicity, and gender or investigated various health dimensions. Guided by an intersectionality framework, this study explores racial/ethnic/gender-based differences in trajectories of multiple health outcomes over a ten-year period among American older adults. Longitudinal data from the Health and Retirement Study (2004-2014) were used (N = 16,654). Older adults (65+) were stratified into six mutually-exclusive groups based on their race, ethnicity, and gender: Non-Hispanic (NH) White Men, NH White Women, NH Black Men, NH Black Women, Hispanic Men, and Hispanic Women. Growth curve models examined the trajectories of three health measures, including cognitive function, physical function limitations (i.e. activities of daily living and instrumental activities of daily living), and depressive symptoms. NH White men and women reported significantly better outcomes in cognition and physical function trajectories than racial/ethnic minority groups. Women in all racial/ethnic groups had more depressive symptoms but better cognition than men. Hispanic women reported the most depressive symptoms. Hispanic women and NH Black women had the worst physical function limitations. NH Black men/women were the most disadvantaged in cognition. Racial/ethnic/gender-based differences were stable over time in all health trajectories. Study findings highlight the utility of an intersectional framework in understanding how multiple social identities intersect to generate protective and/or risk effects on cognitive, mental, and physical health. Multilevel intervention strategies are warranted to reduce the persistent health inequity gap.

Maternal and Child Depressive Symptoms in a Sample of Low-income Families of Color: The Mediating Role of Child Adaptability

Maternal depressive symptoms are linked with child internalizing concerns, such as depressive symptoms. The impact that maternal depressive symptoms have on the onset and maintenance of child depressive symptoms might be especially salient in families of color who are low-income because of elevated rates of maternal depressive symptoms and environmental stressors in those populations. The relationship between maternal and child depressive symptoms might be partially explained by a child's capacity to flexibly respond to stressors in the environment, a construct known as adaptability. A simple mediation model was conducted with a sample of low-income, Black/African American and Latina mothers and their children (n = 128). Results suggested that child adaptability partially mediated the link between maternal and child depressive symptoms. We discussed how this study can inform research and practice that aim to assist low-income families of color with mental health needs.

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.

Race/Ethnicity, Nativity, and Gender Disparities in Mental Health Trajectories from Mid- to Later-Life: A Life Course-Intersectional Approach

BACKGROUND

Numerous studies have highlighted mental health disparities based on race/ethnicity, nativity, and gender across different life stages. However, few have investigated how the intersectionality of these factors influences mental health trajectories during midlife to late life. This study fills this gap by adopting a life course-intersectional approach, viewing mental health trajectories as dynamic processes shaped by the combined influences of race/ethnicity, nativity, and gender. It explores social, psychological, and physiological pathways contributing to these disparities.

DESIGN

Using data from the Health and Retirement Study (2006-2018; N = 38,049 observations) and growth curve models, this study examines how intra-individual trends in depressive symptoms (measured as CES-D scale, 07) are influenced by the intersection of race/ethnicity, nativity, and gender. It also investigates the impact of objective and subjective social isolation and physical health on group disparities in mental health trajectories.

RESULTS

The findings reveal that, during mid- to early late-life, most Black and Hispanic Americans experience higher levels of depressive symptoms compared to their White counterparts (disparities ranging from 0.184 to 0.463 for men and 0.117 to 0.439 for women). However, this disadvantage diminishes for US-born Hispanic men and US-born Black women (0.014-0.031 faster decrease rates compared to US-born White), while it intensifies for Hispanic immigrants (0.017-0.018 slower decrease rates compared to US-born White) in advanced ages. Mediation analysis demonstrates that both social isolation and physical health contribute to these disparities, with physical health explaining a larger portion, particularly in differences between immigrant Hispanic women and US-born Whites.

CONCLUSION

This study underscores the importance of a life course-intersectional approach in understanding mental health disparities. It emphasizes the need for improved social welfare systems and community-level interventions targeting the specific challenges faced by older Hispanic immigrants, especially women who encounter multiple forms of oppression.

Heterogenous trajectories in physical, mental and cognitive health among older Americans: Roles of genetics and life course contextual factors

We investigate the roles of genetic predispositions, childhood SES and adult educational attainment in shaping trajectories for three important components of the overall health of older adults -- BMI, depressive symptoms and cognition. We use the Health & Retirement Study (HRS) and group-based trajectory modeling (GBTM) to identify subgroups of people who share the same underlying trajectories ages 51-94 years. After identifying common underlying health trajectories, we use fractional multinomial logit models to estimate associations of (1) polygenic scores for BMI, depression, ever-smoked, education, cognition and subjective wellbeing, (2) childhood SES and (3) educational attainment with the probabilities of trajectory group memberships. While genetic predispositions do play a part in predicting trajectory group memberships, our results highlight the long arm of socioeconomic factors. Educational attainment is the most robust predictor-it predicts increased probabilities of belonging to trajectories with BMI in the normal range, low depressive symptoms and very-high initial cognition. Childhood circumstances are manifested in trajectories to a lesser extent, with childhood SES predicting higher likelihood of being on the low depressive symptoms and very-high initial cognition trajectories. We also find suggestive evidence that associations of educational attainment on the probabilities of being on trajectories with BMI in the normal range, low depressive symptoms and very-high initial cognition vary with genetic predispositions. Our results suggest that policies to increase educational attainment may improve population health by increasing the likelihood of belonging to "good" aging trajectories.

Depression and Anxiety Trajectories in Chronic Disease: A Systematic Review and Meta-Analysis

INTRODUCTION

People living with chronic diseases are at an increased risk of anxiety and depression, which are associated with poorer medical and psychosocial outcomes. Many studies have examined the trajectories of depression and anxiety in people with specific diseases, including the predictors of these trajectories. This is valuable for understanding the process of adjustment to diseases and informing treatment planning. However, no review has yet synthesised this information across chronic diseases.

METHODS

Electronic databases were searched for studies reporting trajectories of depression or anxiety in chronic disease samples. Data extracted included sample characteristics, results from trajectory analyses, and predictors of trajectories. Meta-analysis of the overall pooled prevalence of depression and anxiety trajectories was conducted, and qualitative synthesis of disease severity predictors was undertaken.

RESULTS

Following search and screening, 67 studies were included (N = 61,201 participants). Most participants followed a stable nonclinical trajectory for depression (69.0% [95% CI: 65.6, 72.2]) and anxiety (73.4% [95% CI: 66.3, 79.5]). Smaller but meaningful subsamples followed a trajectory of depression and anxiety symptoms consistently in the clinical range (11.8% [95% CI: 9.2, 14.8] and 13.7% [95% CI: 9.3, 19.7], respectively). Several clinical and methodological moderators emerged, and qualitative synthesis suggested that few aspects of disease severity were associated with participants' trajectories.

CONCLUSION

Most people with chronic disease follow a trajectory of distress that is low and stable, suggesting that most people psychologically adjust to living with chronic disease. Evidence also suggests that the nature and severity of the disease are not meaningful predictors of psychological distress.

Late-life depressive symptoms and white matter structural integrity within older Black adults

Introduction

Older Black adults experience a high burden of depressive symptoms and cerebrovascular disease but the specific neurobiological substrates underlying the association between late-life depressive symptoms and brain integrity are understudied, particularly in within-group designs.

Methods

Using the Center for Epidemiologic Studies Depression Scale and diffusion-tensor imaging, within-Black variation in the association between late-life depressive symptoms and white matter structural integrity was examined in 297 older Black participants without dementia that were enrolled across three epidemiological studies of aging and dementia. Linear regression models were used to test associations with DTI metrics (fractional anisotropy, trace of the diffusion tensor) as the outcomes and depressive symptoms as the predictor, while adjusting for age, sex, education, scanner, serotonin-reuptake inhibitor use, total volume of white-matter hyperintensities normalized by intracranial volume, and presence of white-matter hyperintensities at the voxel level.

Results

Higher level of self-reported late-life depressive symptoms was associated with greater diffusion-tensor trace (reduced white matter integrity) in connections between commissural pathways and contralateral prefrontal regions (superior and middle frontal/dorsolateral prefrontal cortex), association pathways connecting dorsolateral prefrontal cortex with insular, striatal and thalamic regions, and association pathways connecting the parietal, temporal and occipital lobes and the thalamus.

Discussion

This study demonstrated a discernable pattern of compromised white matter structural integrity underlying late-life depressive symptoms within older Black adults.

Racial Differences in Employment and Poverty Histories and Health in Older Age

INTRODUCTION

Black Americans encounter more barriers in the job market and earn less than White Americans. However, the extent to which racial disparities in employment and poverty histories impact health is not fully understood. This study characterized employment‒poverty histories for Black and White middle-aged adults and examined their association with health.

METHODS

Respondents born in 1948-1953 and enrolled in the 2004 Health and Retirement Study (N_Black=555, N_White=2,209) were included. Sequence analysis grouped respondents with similar employment‒poverty trajectories from 2004 to 2016, and confounder-adjusted regression analyses estimated the associations between these trajectories and health in 2018. Analyses were conducted in 2021-2022.

RESULTS

More than 23% of Black respondents experienced both employment and poverty fluctuations, including bouts of extreme poverty (<50% of the federal poverty threshold), whereas no trajectory for White respondents included extreme poverty. Adversities in employment‒poverty were associated with worse health. For example, among Black respondents, those who experienced both employment and poverty fluctuations had worse cognition than those employed and not poor (β= -0.55 standardized units, 95% CI= -0.81, -0.30). Similarly, among White respondents, those who experienced employment fluctuations had worse cognition than those employed (β= -0.35, 95% CI= -0.46, -0.24). Notably, the employed and not poor trajectory was associated with worse survival among Black respondents than among White respondents.

CONCLUSIONS

Employment fluctuations were associated with worse health, especially cognitive function, where the association was stronger among Black Americans who experienced both employment fluctuations and poverty. Findings highlight the importance of enhancing employment stability and of antipoverty programs, especially for Black Americans.

Depressive Symptom Trajectories and Cognition Among Older American Couples: A Dyadic Perspective

OBJECTIVES

This study examined whether trajectories of depressive symptoms of one spouse are associated with the other spouse's memory.

METHODS

Longitudinal data from the Health and Retirement Study (2004-2016) were used (N = 5690 heterosexual couples). Latent-class growth analysis and structural equation models examined the actor and partner effects of depressive symptom trajectories on memory.

RESULTS

Four depressive symptom trajectories were identified (i.e., persistently low, increasing, decreasing, and persistently high). Compared to the low trajectory group, the increasing and persistently high trajectories were associated with worse memory for both men and women. While none of the wives' depressive symptom trajectories was significantly associated with husbands' memory (p > .05), husbands' decreasing trajectory was linked to wives' better memory (β = 0.498, 95% CI = 0.106, 0.890).

DISCUSSION

Older adults with increasing and persistently high depressive symptoms may experience worse memory. Psychosocial interventions targeting depressive symptoms among older men may be beneficial to their spouses' memory.

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.

Trajectories of Depressive Symptoms Among Older Adults and in Adults With Hip Fracture: Analysis From the English Longitudinal Study of Ageing

BACKGROUND

This study aimed to determine trajectories of depressive symptoms among older adults in England, overall and for those with hip fracture. The study aimed to explore the differential characteristics of each trajectory identified.

METHODS

Analysis of adults aged 60 years or more (n = 7 050), including a hip fracture subgroup (n = 384), from the English Longitudinal Study of Ageing. Latent class growth mixture modeling was completed. Depressive symptom prevalence was estimated at baseline. Chi-square tests were completed to compare baseline characteristics across trajectories.

RESULTS

Three trajectories of depressive symptoms (no, mild, and moderate-severe) were identified overall and for those with hip fracture. The moderate-severe trajectory comprised 13.7% and 7% of participants for overall and hip fracture populations, respectively. The proportion of participants with depressive symptoms in the moderate-severe trajectory was 65.4% and 85.2% for overall and hip fracture populations, respectively. Depressive symptoms were stable over time, with a weak trend toward increasing severity for the moderate-severe symptom trajectory. Participants in the moderate-severe symptom trajectory were older, more likely to be female, live alone, and had worse health measures than other trajectories (p < .001).

CONCLUSIONS

Older adults, and those with hip fracture, follow one of the 3 trajectories of depressive symptoms that are broadly stable over time. Depressive symptoms' prevalence was higher for those with hip fracture and, when present, the symptoms were more severe than the overall population. Results suggest a role of factors including age, gender, and marital status in depressive symptom trajectories.

Risk Assessment of Depression amongst Women during Menopause before and during the COVID-19 Pandemic

During menopause, the risk of depression is 2-5 times greater than pre- or post-menopause. To assess the risk of depression amongst menopausal women in 2006, compared with 2021 (i.e., during the COVID-19 pandemic), we recruited female volunteers at least 40 years old to complete the menopause rating scale (MRS), the Blatt-Kupperman menopausal index (BKMI), and the Beck depression inventory. Compared with 2006, in 2021, the number of participants who experienced mild, moderate, and severe menopausal symptoms rose by 8%, 1.9%, and 3.2%, respectively. Moreover, the frequency of using hormone replacement therapy rose by 5.1%, feelings of mistrust by 16%, feelings of guilt by 11%, disposition to cry by 25%, mood swings by 12%, and suicidal ideation by 9%, whilst the average body weight and body mass index fell by 5.1 kg and 2.3%, respectively. In 2006 and 2021, 46.3% and 59.3% of participants experienced moderate depression, whereas 3.0% and 5.2% experienced severe depression. The number of participants who denied needing support during menopause decreased by 14.6%, whereas the demand for support from husbands and friends increased by 18.3% and 9.8%, respectively. In 2021, the number of participants who experienced menopausal symptoms, a loss of trust, self-blame, a tendency to cry, mood swings, suicidal ideation, and anxiety also increased compared with 2006, whilst the number of participants without depressive symptoms decreased, but with suspected mild or severe depression increased. Last, menopausal complaints caused an increase in depressive mood in 2021, as evaluated using the BKMI and MRS.

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.

A Study on the Relationship between Depression Change Types and Suicide Ideation before and after COVID-19

Background: The purpose of this study is to explore and categorize changes in depression, and investigate the relationship between suicidal ideations before and after the COVID-19 pandemic. Methods: In this study, data from the Korea Welfare Panel Study (KoWePS) was used and included 8692 adults, 19 years of age or older, who could estimate the change in depression from 2017 (12th) to 2021 (16th) for final analysis. Depression change was classified into two types, ‘low-level ascending’ type (n = 7809, 80.9%), and ‘increasing after reduction’ type (n = 883, 10.2%). The Firth Method was used to examine the relationship between depression change types and suicidal ideation. Results: The lower the equivalized annual income and the lower the educational level, and the likelihood of belonging to the ‘increasing after reduction’ type, compared to the ‘low-level ascending’ type, the greater the probability of having suicidal ideation. Conclusion: The significant impact of socioeconomic status (income and educational background) on suicidal ideation indicates the need to consider how epidemics affect inequality in society. This study is expected to provide a deeper understanding of depression, as well as to establish a foundation for long-term prevention of the rapid increase in suicide rates after COVID-19.

Early-Life Socioeconomic Disadvantage and Health in Late Middle-Age: Importance of Heterogeneous Income Trajectories

This paper aims to investigate heterogeneous income changes and whether the income trajectories moderate effects of early socioeconomic disadvantage on health in late middle age. The sample was restricted to 9,056 middle-aged adults from the Health and Retirement Study (1998-2010). Through a latent class growth analysis, six patterns of income changes were identified: constantly low, constantly moderate, constantly high & increasing, high to low, moderate to high, and high to moderate. The Constantly low group more frequently displayed depressive symptoms if exposed to early socioeconomic disadvantage and Constantly low income mobility. Individuals who experienced early socioeconomic disadvantage and a downward income mobility in middle age tended to have multiple chronic conditions while there was no moderating effect of income changes for mobility functional limitations. These findings suggest that not all health outcomes are programmed in early life: Disadvantage can be somewhat alleviated through stable and better later-life economic status.

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.

Hope, Purpose, and Religiosity: The Impact of Psychosocial Resources on Trajectories of Depressive Symptoms Among Middle-Aged and Older Blacks

Objective: We assessed the effects of hope, purpose in life, and religiosity on trajectories of depressive symptoms among middle-aged and older Blacks, with a focus on age differences in these associations. Methods: Data come from 1906 respondents from the 2006-2016 Health and Retirement Study. Linear mixed models were estimated and included interactions between age and time and between age and each psychosocial resource. Results: Depressive symptoms decreased for Blacks ages 51-64, did not change for those 65-74, and increased among Blacks age 75+. Hope and purpose in life were inversely associated with symptom levels but were not associated with change over time in symptomology. Associations were stronger among the youngest age group and weakest among the oldest. Religiosity was unrelated to depressive symptoms. Discussion: Psychosocial resources protect against depressive symptoms in age-dependent ways among middle-aged and older Blacks. Differences in these effects may be related to aging, cohort, and selection effects.

Trajectories of depressive symptoms among community-dwelling Korean older adults: findings from the Korean longitudinal study of aging (2006-2016)

BACKGROUND

Depression among older adults is an important public health concern associated with increased risk of suicide and decreased physical, cognitive, and social functioning. This study identified trajectories of depressive symptoms and investigated predictive variables of group-based trajectory modeling among Korean community-dwelling older adults.

METHODS

Participants comprised 2016 community-dwelling Korean adults over 65 years. Data from the years 2006-2016 of the Korean Longitudinal Study of Aging, a nationally representative panel survey that has been conducted every two years since 2006, were used. We employed a group-based trajectory modeling analysis to identify depressive symptom trajectories. Multinomial logistic regression analysis was conducted to identify predictors of each class of depressive symptoms.

RESULTS

Five depressive symptom trajectory groups were identified: Group 1, "None" (28.9%); Group 2, "Slowly worsening" (24.3%); Group 3, "Rapidly worsening" (17.5%); Group 4 "Improving" (12.4%); and Group 5, "Persistently severe" (16.9%). Older adults followed five distinct depressive symptom trajectories over 10 years. Mini-Mental State Examination scores, number of chronic diseases, educational level, and social activity were predictors associated with increasing depressive symptoms.

CONCLUSIONS

This study showed that many older adults living in the community have depressive symptoms. To prevent and treat depression and aid successful mental health aging among older adults, the development of interventions should be tailored to target specific needs for each symptom trajectory. It is necessary to develop community-based interventions and strategies to identify and prevent depressive symptom trajectories among older adults.

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.

Depressive symptom trajectories and polygenic risk scores in individuals with an immune-mediated inflammatory disease

OBJECTIVE

To develop group-based trajectories of depressive symptoms in immune-mediated inflammatory disease (IMID) to understand their evolution and identify any associated factors, with the overall goal of identifying those at highest risk of higher depressive symptom burden.

METHOD

922 participants had an IMID or anxiety/depression. The PHQ-9 was administered at four visits, and polygenic risk scores (PRS) for major depressive disorder, depressive symptoms, and body mass index (BMI) were generated. Group-based trajectory modelling of PHQ-9 scores estimated distinct trajectories. Regression tested whether specific factors were associated with the trajectories. Mediation analyses assessed whether IMID mediated the association between BMI PRS and trajectories.

RESULTS

Three trajectories were identified. Regression demonstrated those in Group 3 ('high symptoms') had significantly higher PRS for the three traits, compared to Group 1 ('minimal symptoms') (OR: 1.34-1.66, P < 0.01). Stratified analyses in the IMID subgroup revealed an increased effect for BMI PRS in Group 3 (OR: 2.31, P < 0.001), in contrast, BMI PRS was no longer associated in the non-IMID sample. No significant indirect effect of BMI PRS on depressive symptoms trajectories was identified via IMID.

CONCLUSIONS

A significant association between polygenicity and PHQ-9 trajectories supports a role for genetic inheritance in the variability in depressive symptoms in IMID.

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.

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.

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.

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.

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.

Measurement Invariance of Screening Measures of Anxiety, Depression, and Level of Functioning in a US Sample of Minority Older Adults Assessed in Four Languages

Population aging in the US and its increase in racial/ethnic diversity has resulted in a growing body of literature aimed at measuring health disparities among minority older adults. Disparities in health outcomes are often evaluated using self-reported measures and, to attend to linguistic diversity, these measures are increasingly being used in languages for which they were not originally developed and validated. However, observed differences in self-reported measures cannot be used to infer disparities in theoretical attributes, such as late-life depression, unless there is evidence that individuals from different groups responded similarly to the measures-a property known as measurement invariance. Using data from the Positive Minds-Strong Bodies randomized controlled trial, which delivered evidence-based mental health and disability prevention services to a racially/ethnically diverse sample of minority older adults, we applied invariance tests to two common measures of anxiety and depression (the GAD-7 and the HSCL-25) and two measures of level of functioning (the Late-Life FDI and the WHODAS 2.0) comparing four different languages: English, Spanish, Mandarin, and Cantonese. We found that these measures were conceptualized similarly across languages. However, at the item-level symptom burden, we identified a non-negligible number of symptoms with some degree of differential item functioning. Spanish speakers reported more worry symptoms and less somatic symptoms for reasons unrelated to their psychological distress. Mandarin speakers reported more feelings of restlessness, and both Mandarin and Cantonese speakers reported no interest in things more often for reasons unrelated to their psychological distress. Mandarin and Cantonese speakers were also found to consistently report more difficulties performing physical activities for reasons unrelated to their level of functioning. In general, invariance tests have been insufficiently applied within psychological research, but they are particularly relevant as a prerequisite to accurately measure health disparities. Our results highlight the importance of conducting invariance testing, as we singled out several items that may require careful examination before considering their use to compare symptoms of psychological distress and level of functioning among ethnically and linguistically diverse older adult populations.

Depressive Symptoms among Middle-Aged Women-Understanding the Cause

Menopause is an important event in a woman’s life associated with hormonal changes that play a substantial role in the functioning of her body. A decline in the level of estrogens contributes to depressive symptoms and mood disorders during this period. The severity of depressive symptoms experienced by middle-aged women depends on many factors, including sociodemographic data (e.g., menopause, employment status, and marital status) and genetic variables (MAO-A and 5-HTT gene polymorphisms). In order to assess their influence on the development of depression in females, we analyzed 1453 healthy Polish women in different stages of menopause. Based on the results, we found that the l/l + l/s inheritance model for the 5-HTT gene polymorphism was more common in women without and with moderate depressive symptoms according to the Beck Depression Inventory (BDI), while the l/s model was more often observed in women with mild depression. Moreover, the overdominant 3/3 + 4/4 genotype of the MAO-A gene polymorphism was more often found in respondents without depressive symptoms, while women with depressive symptoms had more often the overdominant 3/4 genotype.

Marital quality, gender, and later-life depressive symptom trajectories

We analyze six waves of data (2006-2016) from the Health and Retirement Study (n = 4,342) to examine how marital quality is associated with depressive symptom trajectories among a group of continuously married older adults. Results show gender parity in how own perceptions of positive and negative dimensions of marital quality are related to depressive symptom trajectories. In addition, spousal perceptions of negative marital quality are positively associated with growth in depressive symptomatology regardless of gender. Spousal perceptions of positive marital quality, however, are associated with lower depressive symptoms only for women.

Urban and Rural Differences in Trajectories of Depressive Symptoms in Later Life in the United States

OBJECTIVE

This research has two primary goals: to examine the relationship between urban residence and trajectories of depressive symptoms and to investigate whether this relationship differs by social isolation and loneliness.

METHOD

Data are from 2006, 2008, 2010, 2012, 2014, and 2016 waves of the Health and Retirement Study (HRS), a nationally representative sample of U.S. adults aged 51+ (n = 3,346 females and 2,441 males). We conduct latent growth curve analysis to predict both baseline and trajectories of depression based on urban or rural residency.

RESULTS

Residing in urban or rural areas is neither significantly associated with baseline nor the development of late-life depressive symptoms. For females, the relationship between urban residence and baseline depressive symptoms is explained by socioeconomic factors.

DISCUSSION

Findings of this study serve to better understand how social and geographic contexts shape long-term well-being of older adults.

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.

Identifying long-term psychological distress from single measures: evidence from a nationally representative longitudinal survey of the Australian population

BACKGROUND

Single time-point assessments of psychological distress are often used to indicate chronic mental health problems, but the validity of this approach is unclear. The aims of this study were to investigate how a single assessment of distress relates to longer-term assessment and quantify misclassification from using single measures to indicate chronic distress.

METHODS

Data came from the Household, Income and Labour Dynamics in Australia Survey, a nationally representative study of Australian adults. Psychological distress, measured with the Kessler10 and categorised into low (scores:10- < 12), mild (12- < 16), moderate (16- < 22) and high (22-50), has been assessed in the Survey biennially since wave 7. Among respondents who were aged ≥25 years and participated in all waves in which distress was measured, we describe agreement in distress categories, and using a mixed linear model adjusting for age and sex we estimate change in scores, over a two-, four-, six- and eight-year follow-up period. We applied weights, benchmarked to the Australian population, to all analyses.

RESULTS

Two-years following initial assessment, proportions within identical categories of distress were 66.0% for low, 54.5% for mild, 44.0% for moderate and 50.3% for high, while 94.1% of those with low distress initially had low/mild distress and 81.4% with high distress initially had moderate/high distress. These patterns did not change materially as follow-up time increased. Over the full eight-year period, 77.3% of individuals with high distress initially reported high distress on ≥1 follow-up occasion. Age-and sex- adjusted change in K10 scores over a two-year period was 1.1, 0.5, - 0.7 and - 4.9 for low, mild, moderate and high distress, respectively, and also did not change materially as follow-up time increased.

CONCLUSION

In the absence of repeated measures, single assessments are useful proxies for chronic distress. Our estimates could be used in bias analyses to quantify the magnitude of the bias resulting from use of single assessments to indicate chronic distress.

Gradual Change, Homeostasis, and Punctuated Equilibrium: Reconsidering Patterns of Health in Later Life

Longitudinal methods aggregate individual health histories to produce inferences about aging populations, but to what extent do these summaries reflect the experiences of older adults? We describe the assumption of gradual change built into several influential statistical models and draw on widely used, nationally representative survey data to empirically compare the conclusions drawn from mixed-regression methods (growth curve models and latent class growth analysis) designed to capture trajectories with key descriptive statistics and methods (multistate life tables and sequence analysis) that depict discrete states and transitions. We show that individual-level data record stasis irregularly punctuated by relatively sudden change in health status or mortality. Although change is prevalent in the sample, for individuals it occurs rarely, at irregular times and intervals, and in a nonlinear and multidirectional fashion. We conclude by discussing the implications of this punctuated equilibrium pattern for understanding health changes in individuals and the dynamics of inequality in aging populations.

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.

Physical Activity and Its Association with Depression in the Diabetic Hispanic Population

Introduction

Hispanics are the largest ethnic minority group in the United States. The prevalence of depression and co-morbid depression in the Hispanic population is well-recognized. The positive association between physical activity and psychological health improves mood, emotional well-being, and prognostic outcome.

Objectives

There are two aspects of our research paper. First, it critically reviews the available literature showing the correlation between physical exercise and depression. Second, it analyzes the association between exercise and depression in uncontrolled diabetic Hispanics using data collected from the local community intervention program.

Method

A chi-square analysis was conducted to examine whether levels of physical activity reported at the baseline were associated with the frequency of depressed mood and anhedonia self-reported for the previous two weeks. This study utilized the use of the PHQ-2 scale for the assessment of depressive symptoms. The PHQ-2 scale is a useful tool to screen for depression in the integrated care setting. Participants from a local community intervention program were stratified on the basis of their gender and preferred language. Data were collected and represented in tables according to demographic characteristics.

Results

Our study established a statistically significant association between the levels of physical activity and the frequency of depression symptoms among Spanish speaking participants from the local community intervention program. These results provide convincing evidence that biological, developmental, social, and psychological factors facilitate the association between physical activity and depression.

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.

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.

•

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.

Robust Respondents and Lost Limitations: The Implications of Nonrandom Missingness for the Estimation of Health Trajectories

OBJECTIVE

We offer a strategy for quantifying the impact of mortality and attrition on inferences from later-life health trajectory models.

METHOD

Using latent class growth analysis (LCGA), we identify functional limitation trajectory classes in the Health and Retirement Study. We compare results from complete case and full information maximum likelihood (FIML) analyses, and demonstrate a method for producing upper- and lower-bound estimates of the impact of attrition on results.

RESULTS

LCGA inferences vary substantially depending on the handling of missing data. For older adults who die during the follow-up period, the widely used FIML approach may underestimate functional limitations by up to 20%.

DISCUSSION

The most commonly used approaches to handling missing data likely underestimate the extent of poor health in aging populations. Although there is no single solution for nonrandom missingness, we show that bounding estimates can help analysts to better characterize patterns of health in later life.

Improving Detection of Depression Symptoms in Latino Farmworkers: Latino Farmworker Affective Scale

Latino farmworkers (LFWs) experience depression at a significant higher rate than non-Latino Whites; yet, research regarding depression-screening instruments in Spanish is scarce. The first author created a depression screener using terms used by LFWs to describe symptoms of depression. This study evaluated the effectiveness of the Latino Farmworker Affective Scale (LFAS-15) in accurately detecting symptoms of depression in this population as compared with the Patient Health Questionnaire (PHQ-9), the Brief Symptom Inventory (BSI-18), and the Center for Epidemiologic Studies Depression Scale (CESD-10) using the DSM structured clinical interview (SCID) as the reference standard. Study results indicated that the LFAS-15, as well as the PHQ-9, and the BSI-18 performed. The data also indicated that the LFAS-15 has good internal consistency, measures primarily one construct (depression), demonstrated convergent validity with the SCID, and has good combined sensitivity and specificity. Recommendations for clinical practice, policy, and research are offered.

Psychosocial and health-related risk factors for depressive symptom trajectories among midlife women over 15 years: Study of Women's Health Across the Nation (SWAN)

BACKGROUND

Psychosocial and health-related risk factors for depressive symptoms are known. It is unclear if these are associated with depressive symptom patterns over time. We identified trajectories of depressive symptoms and their risk factors among midlife women followed over 15 years.

METHODS

Participants were 3300 multiracial/ethnic women enrolled in a multisite longitudinal menopause and aging study, Study of Women's Health Across the Nation. Biological, psychosocial, and depressive symptom data were collected approximately annually. Group-based trajectory modeling identified women with similar longitudinal patterns of depressive symptoms. Trajectory groups were compared on time-invariant and varying characteristics using multivariable multinomial analyses and pairwise comparisons.

RESULTS

Five symptom trajectories were compared (50% very low; 29% low; 5% increasing; 11% decreasing; 5% high). Relative to whites, blacks were less likely to be in the increasing trajectory and more likely to be in the decreasing symptom trajectory and Hispanics were more likely to have a high symptom trajectory than an increasing trajectory. Psychosocial/health factors varied between groups. A rise in sleep problems was associated with higher odds of having an increasing trajectory and a rise in social support was associated with lower odds. Women with low role functioning for 50% or more visits had three times the odds of being in the increasing symptom group.

CONCLUSIONS

Changes in psychosocial and health characteristics were related to changing depressive symptom trajectories. Health care providers need to evaluate women's sleep quality, social support, life events, and role functioning repeatedly during midlife to monitor changes in these and depressive symptoms.

Depression During and After the Perimenopause: Impact of Hormones, Genetics, and Environmental Determinants of Disease

Vulnerability to depression is increased across the menopause transition and in the early years after the final menstrual period. Clinicians should systematically screen women in this age group; if depressive symptoms or disorder are present, treatment of depression should be initiated. Potential treatments include antidepressants for moderate to severe symptoms, psychotherapy to target psychological and interpersonal factors, and hormone therapy for women with first-onset major depressive disorder or elevated depressive symptoms and at low risk for adverse effects. Behavioral interventions can improve physical activity and sleep patterns.

Persistent Depressive Symptoms in a Population With High Levels of Occupational Stress: Trajectories Offer Insights Into Both Chronicity and Resilience

Religious participation and spirituality are linked to good mental health. However, clergy may experience more depression than is observed in the general population, which may be due in part to high job strain. The objectives of this study were to identify distinct longitudinal trajectories of depressive symptoms in clergy and to identify variables associated with each course. The sample was 1172 clergy who were followed for up to 66 months. Depressive symptoms were measured using the Patient Health Questionnaire (PHQ-8), which was administered approximately every 6 months. Latent class trajectory analysis was conducted for group identification, and a 3-class trajectory model fit the data best. Class 1 (38% of the sample) had minimal or no depressive symptoms over time, class 2 (47%) had chronic mild symptoms, and class 3 (15%) had persistent moderate/severe symptoms. Occupational distress was significantly associated with trajectory class. The odds of being in either the chronic mild or the persistent moderate/severe depressive symptom class were significantly higher for those who were female, for those with fair/poor self-rated health, for those with more perceived financial or occupational stress, for those with lower levels of perceived emotional support, and/or for those with lower levels of spiritual well-being. The class exhibiting resilience to depressive symptoms had higher levels of perceived support and spiritual well-being as well as lower levels of perceived financial and occupational stress. A substantial percentage of clergy, and possibly people in similar helping occupations, may experience significant levels of depressive symptoms that do not remit over time. These individuals may benefit from treatments that address work-related coping.

Gender differences in the trajectory classes of depressive symptoms in Korean older adults

OBJECTIVES

This study aimed (1) to identify gender-specific heterogeneous longitudinal patterns of depressive symptoms, (2) to explore the effects of economic status and various health conditions as risk factors in depressive symptom trajectories.

METHOD

Data came from the Korean Longitudinal Study of Aging (2006-2012) focuing on older adults aged 65 and older. Latent class growth analysis was used to identify the depressive symptom trajectory groups. Multinomial logistic regression was used to examine the association between economic and health status changes and the depresison trajectories.

RESULTS

Among older women, three change groups were identified: stable low, stable high, and moderate but slightly increasing groups. Among older men, four groups were found: stable low, moderate but rapidly increasing, high but decreasing, and moderate but slightly increasing groups. Among women, poverty experience and sustained poor health, particularly constantly low cognition, were significantly associated with the stable high group. Among men, deteriorating economic and health status were significant predictors of membership in the most vulnerable subgroup, the moderate but rapidly increasing group.

CONCLUSION

This study demonstrated among older adults, depressive symptoms change heterogeneously by gender. Identification of the most at risk subgroups among older men and women provides important initial empirical information to target clinical programs and policy development.

Educational Mobility Across Generations and Depressive Symptoms Over 10 Years Among US Latinos

Few studies have collected intergenerational data to assess the association between educational mobility across multiple generations and offspring depression. Using data from the Sacramento Area Latino Study on Aging (1998-2008), we assessed the influence of intergenerational education on depressive symptoms over 10 years among 1,786 Latino individuals (mean age = 70.6 years). Educational mobility was classified as stable-low (low parental/low offspring education), upwardly mobile (low parental/high offspring education), stable-high (high parental/high offspring education), or downwardly mobile (high parental/low offspring education). Depressive symptoms were measured with the Center for Epidemiological Studies-Depression Scale (CES-D); higher scores indicated more depressive symptoms. To quantify the association between educational mobility and CES-D scores over follow-up, we used generalized estimating equations to account for repeated CES-D measurements and adjusted for identified confounders. Within individuals, depressive symptoms remained relatively stable over follow-up. Compared with stable-low education, stable-high education and upward mobility were associated with significantly lower CES-D scores (β = -2.75 and -2.18, respectively). Downwardly mobile participants had slightly lower CES-D scores than stable-low participants (β = -0.77). Our results suggest that sustained, low educational attainment across generations may have adverse mental health consequences, and improved educational opportunities in underresourced communities may counteract the adverse influence of low parental education on Latino depression.

Association Between Depressive Symptom Patterns and Clinical Profiles Among Persons Living with HIV

To describe patterns of depressive symptoms across 10-years by HIV status and to determine the associations between depressive symptom patterns, HIV status, and clinical profiles of persons living with HIV from the Multicenter AIDS Cohort Study (N = 980) and Women's Interagency HIV Study (N = 1744). Group-based trajectory models were used to identify depressive symptoms patterns between 2004 and 2013. Multinomial logistic regressions were conducted to determine associations of depression risk patterns. A 3-group model emerged among HIV-negative women (low: 58%; moderate: 31%; severe: 11%); 5-groups emerged among HIV-positive women (low: 28%; moderate: 31%; high: 25%; decreased: 7%; severe: 9%). A 4-group model emerged among HIV-negative (low: 52%; moderate: 15%; high: 23%; severe: 10%) and HIV-positive men (low: 34%; moderate: 34%; high: 22%; severe: 10%). HIV+ women had higher odds for moderate (adjusted odds ratio [AOR] 2.10, 95% CI 1.63-2.70) and severe (AOR 1.96, 95% CI 1.33-2.91) depression risk groups, compared to low depression risk. HIV+ men had higher odds for moderate depression risk (AOR 3.23, 95% CI 2.22-4.69), compared to low risk. The Framingham Risk Score, ART use, and unsuppressed viral load were associated with depressive symptom patterns. Clinicians should consider the impact that depressive symptoms may have on HIV prognosis and clinical indicators of comorbid illnesses.

Latino Farmworkers and Under-Detection of Depression: A Review of the Literature

The history of Latino farmworkers in the United States is long and complex. Economic forces and often-contradictory immigration policies have given rise to patterns of undocumented immigration from Mexico and Central America by individuals and families looking for work. This review uses a Critical Multiculturalism lens to explore the incidence of depression in Latino farmworkers; the link between depression symptoms and the experience of migration, acculturation, poverty, and agricultural work; and the role of culture, structural issues, primary care providers’ inadequate training in mental health issues, and work conditions in the under-detection of depression in this population. Recommendations for clinicians and researchers are offered to improve detection of depression in Latino farmworkers.