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

Childhood maltreatment and association with trajectories of depressive symptoms among older adults: a longitudinal study in China

OBJECTIVES

Childhood maltreatment has long-lasting effects on mental health. Existing evidence suggests that trajectories of depressive symptoms vary among individuals; however, little is known about how childhood maltreatment shapes these trajectory patterns. Therefore, this study investigated the impacts of childhood maltreatment on eight-year depressive trajectories among Chinese older adults.

METHOD

Five waves of longitudinal data from the China Health and Retirement Longitudinal Study were utilized. Growth Mixture Modelling was performed to identify distinct trajectories of depressive symptoms, and multinomial logistic regression was conducted to explore the associations between these trajectories and childhood maltreatment.

RESULTS

Four trajectories of depressive symptoms were identified: the 'no symptoms' class (61.83%), the 'increasing symptoms' class (14.49%), the 'decreasing symptoms' class (16.44%), and the 'chronic symptoms' class (7.24%). Older adults who experienced childhood physical abuse were more likely to be in the 'chronic symptoms' class than in the 'no symptoms' class, whereas emotional neglect did not show a significant association with three problematic trajectories.

CONCLUSION

This study provides empirical evidence that childhood physical abuse increases the likelihood of developing chronic depressive symptoms in later life. To mitigate this risk, it is crucial to institute comprehensive treatment plans that incorporate trauma-informed care principles, employ evidence-based therapies specifically designed to address the long-term effects of abuse, and prioritize regular screening and assessment of mental health among older adults.

Factors influencing the tendency of residual symptoms in patients with depressive disorders: a longitudinal study

BACKGROUND

Residual symptoms of depressive disorders are serious health problems. However, the progression process is hardly predictable due to high heterogeneity of the disease. This study aims to: (1) classify the patterns of changes in residual symptoms based on homogeneous data, and (2) identify potential predictors for these patterns.

METHODS

In this study, we conducted a data-driven Latent Class Growth Analysis (LCGA) to identify distinct tendencies of changes in residual symptoms, which were longitudinally quantified using the QIDS-SR16 at baseline and 1/3/6 months post-baseline for depressed patients. The association between baseline characteristics (e.g. clinical features and cognitive functions) and different progression tendencies were also identified.

RESULTS

The tendency of changes in residual symptoms was categorized into four classes: "light residual symptom decline (15.4%)", "residual symptom disappears (39.3%)", "steady residual symptom (6.3%)" and "severe residual symptom decline (39.0%)". We observed that the second class displayed more favorable recuperation outcomes than the rest of patients. The severity, recurrence, polypharmacy, and medication adherence of symptoms are intricately linked to the duration of residual symptoms' persistence. Additionally, clinical characteristics including sleep disturbances, depressive moods, alterations in appetite or weight, and difficulties with concentration have been identified as significant factors in the recovery process.

CONCLUSIONS

Our research findings indicate that certain clinical characteristics in patients with depressive disorders are associated with poor recovery from residual symptoms following acute treatment. This revelation holds significant value in the targeted attention to specific patients and the development of early intervention strategies for residual symptoms accordingly.

Trajectories of depressive symptoms early in the course of bereavement: Patterns, psychosocial factors and risk of prolonged grief

In the context of bereavement, little is known about the mechanisms that differentiate normative adjustment patterns from those that may indicate potential psychopathology. This study aimed to replicate and extend previous work by (1) characterizing the trajectories of depressive symptoms from 3 to 12 months after the loss of a spouse, (2) examining whether (a) childhood maltreatment and attachment style predicted distinct depression trajectories, and (b) different depression trajectories were associated with the risk of prolonged grief at 12 months post-loss. Recently bereaved individuals (N = 175) completed self-report assessments at 3, 4, 6, and 12-months post-loss. Trajectories of depressive symptoms were estimated using group-based trajectory modelling. Four distinct trajectories of depressive symptoms were identified: (1) resilience (minimal/no depression across time points; 45%), (2) moderate depression-improved (alleviated to 'mild' by 12 months; 31%), (3) severe depression-improved (alleviated to 'moderate' by 12 months; 15%), and (4) chronic depression ('severe' symptoms across time points; 9%). Higher childhood maltreatment predicted a greater likelihood of belonging to the 'severe depression-improved' and 'chronic depression' groups than the 'resilient' and 'moderate depression-improved' groups. Widow(er)s with higher attachment anxiety were more likely to belong to the 'severe depression-improved' and 'chronic depression' groups than the 'resilient' group. The trajectory groups with persistent levels of depressive symptoms up until 6 months were more likely to exhibit prolonged grief at 12 months post-loss. Changes from pre-loss functioning cannot be estimated. Our findings provide insight into the early identification of post-loss prolonged grief.

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.

Latent classes of symptom trajectories among major depressive disorder patients in China

OBJECTIVE

This study aimed to understand the long-term symptom trajectories of Chinese patients with major depressive disorder (MDD) using piecewise latent growth modeling and growth mixture modeling. The investigation also aimed to identify the baseline characteristics indicative of poorer treatment outcomes.

METHODS

A total of 558 outpatients with MDD were assessed using a sequence of surveys. The Hamilton Rating Scale for Depression (HRSD), Hamilton Anxiety Rating Scale (HAMA), and Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery (MCCB) were used to evaluate baseline depression, anxiety, and cognitive function. Depression symptom severity was subsequently measured at the 1-month, 2-month, 6-month, 1-year, and 2-year follow-ups.

RESULTS

Results indicated three depressive symptomology trajectories, including (a) severe, improving class (12.72 %), (b) partially responding, later deteriorating class (6.09 %), and (c) moderate, improving class (81.18 %). Logistic regression analyses showed that a history of cardiovascular disease (CVD) increased the odds of belonging to the partially responding, later deteriorating class, whereas higher baseline depression increased the odds of belonging to the severe, improving class compared to the moderate, improving class. Patients who experienced less depression relief during the first month of treatment had a lower probability of belonging to the moderate, improving class.

LIMITATIONS

Participant attrition in this study may have inflated the estimated rate of treatment-resistant patients.

CONCLUSIONS

The burden of CVD and poorer initial treatment response are plausible risk factors for poorer treatment outcomes, highlighting targets for intervention in Chinese MDD patients.

Longitudinal association of spirituality with depressive symptom trajectories among older adults in mainland China

OBJECTIVES

The relationship between spirituality and depressive symptoms among the Chinese elderly is not well known. The current study explores this relationship using longitudinal data and trajectory modeling of depressive symptoms.

METHODS

A longitudinal study design was used to measure depressive symptoms repeatedly from 2012 to 2021 using the Geriatric Depression Scale (GDS). Group-based trajectory modeling analysis was conducted to determine the trajectories of depressive symptoms, and multiple logistic regression was used to explore the association between spirituality and depressive symptom trajectories.

RESULTS

A total of 2333 participants completed at least two GDS measures, and these were included in the Group-based trajectory modeling analysis. An optimal model of three trajectories was derived: no depressive symptoms group (75.2%), new-onset depressive symptoms group (14.4%), and persistent depressive symptoms group (10.4%). Logistic regression modeling revealed that higher spirituality was associated with a lower risk of both new-onset depressive symptoms (OR = 0.68, 95% CI = 0.49-0.93) and persistent depressive symptoms (OR = 0.32, 95% CI = 0.23-0.45).

CONCLUSIONS

Spirituality predicts a lower risk of new-onset depressive symptoms and persistent symptoms among older adults in mainland China.

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.

Longitudinal relationships between self-compassion and depressive symptoms in midlife women

OBJECTIVE

Women in midlife face a range of biopsychosocial stressors that increase the risk of depression, with potential negative consequences in older adulthood. Lower self-compassion is known to predict subsequent depressive symptoms, but little is known about whether depressive symptoms predict subsequent levels of self-compassion. This study examined the longitudinal and reciprocal relationships between self-compassion and depressive symptoms over a 5-year period in midlife.

METHOD

This longitudinal study used data from 272 women aged 40-60 years at baseline. Cross-lagged panel analysis was used to investigate reciprocal relationships between depressive symptoms and self-compassion at baseline and 5-year follow-up.

RESULTS

After controlling for autoregressive effects, self-compassion at baseline explained 4% of unique variance in depressive symptoms 5 years later. Baseline depressive symptoms also predicted subsequent levels of self-compassion, with 2% of unique variance explained.

CONCLUSION

This is the first study to report a bidirectional longitudinal relationship between self-compassion and depressive symptoms. Midlife women may experience a negative cycle whereby low self-compassion and depressive symptoms reinforce each other through midlife and into older adulthood. Clinical trials examining self-compassion interventions in midlife are indicated.

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.

Developmental trajectories of depression, anxiety, and stress among college students: a piecewise growth mixture model analysis

Mental health issues are becoming increasingly common among college students, but not all students follow the same developmental trends of mental health. This study aims to identify the developmental trajectories of depression, anxiety, and stress among college students and the related factors for different trajectory classes. The data were collected from a longitudinal survey of college students over four consecutive years, and 2473 students were included in the analysis. The study used a piecewise growth mixture model to determine the subtrajectories, and a multinomial logistic regression model was constructed to investigate the related factors affecting students in subtrajectories. The results revealed that subtrajectories include the low and stable class, increasing class, decreasing then stable class, increasing then decreasing class, and decreasing and high class. The decreasing and high class only presents in the trajectories of anxiety and stress. Regarding related factors, high BMI and high sleep hours were identified as related factors for the increasing class of depression; gender and high sleep hours were associated with the increasing class of anxiety; and hometown location was related to the increasing class of stress. Extroversion personality, relationship with classmates, siblings, and father’s education level are related factors for other subtrajectories. Considering that college students experience multiple trajectories of depression, anxiety, and stress, mental health education and psychological intervention should be carried out for students in each class.

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.

Longitudinal trajectories of depressive symptoms: the role of multimorbidity, mobility and subjective memory

BACKGROUND

The high prevalence of depression among older people in China places a heavy burden on the health system. Multimorbidity, mobility limitation and subjective memory impairment are found to be risk indicators for depression. However, most studies on this topic focused on depression at a single point in time, ignoring the dynamic changes in depressive symptoms and the relationship between the trajectories and these three conditions. Therefore, we aimed to identify distinct trajectories of depressive symptoms in older people and investigate their associations with multimorbidity, mobility limitation and subjective memory impairment.

METHODS

Data was drawn from China Health and Retirement Longitudinal Study conducted during 2011-2018. A total of 5196 participants who completed 4 visits, conducted every 2-3 years were included in this study. Group-based trajectory modeling was conducted to identify distinct trajectories of depressive symptoms z-scores. Multinomial logistic regression was used to investigate the relationships.

RESULTS

Four distinct trajectories of depressive symptoms z-scores were identified, labeled as persistently low symptoms (68.69%, n = 3569), increasing symptoms (12.14%, n = 631), decreasing symptoms (14.05%, n = 730) and persistently high symptoms (5.12%, n = 266). Participants with multimorbidity had unfavorable trajectories of depressive symptoms compared with those without multimorbidity, with adjusted odds ratios (95% CIs) of 1.40 (1.15, 1.70), 1.59 (1.33, 1.90) and 2.19 (1.65, 2.90) for the increasing symptoms, decreasing symptoms and persistently high symptoms, respectively. We also observed a similar trend among participants with mobility limitations. Compared with participants who had poor subjective memory, participants with excellent/very good/good subjective memory had a lower risk of developing unfavorable trajectories of depressive symptoms. The adjusted odds ratios (95% CIs) of the increasing symptoms, decreasing symptoms and persistently high symptoms were 0.54 (0.40, 0.72), 0.50 (0.38, 0.65) and 0.48 (0.31, 0.73), respectively.

CONCLUSIONS

Multimorbidity, mobility limitation and subjective memory impairment were found to be potential risk factors for unfavorable depression trajectories.

Multimorbidity and Mental Health Trajectories Among Middle-Aged and Older U.S. Adults During the COVID-19 Pandemic: Longitudinal Findings From the COVID-19 Coping Study

Background and Objectives

This study aimed to examine the associations between multimorbidity at the COVID-19 pandemic onset and subsequent longitudinal trajectories of depressive symptoms, anxiety symptoms, and loneliness in middle-aged and older adults over a 12-month follow-up.

Research Design and Methods

Data were from monthly online questionnaires in the COVID-19 Coping Study of U.S. adults aged ≥55 from April/May 2020 through April/May 2021 (N = 4,024). Multimorbidity was defined as having ≥2 versus <2 chronic conditions at baseline. Mental health outcomes were assessed monthly as depressive symptoms (8-item Center for Epidemiologic Studies Depression scale), anxiety symptoms (5-item Beck Anxiety Inventory), and loneliness (3-item UCLA Loneliness Scale). We used multivariable-adjusted population- and attrition-weighted mixed-effects linear models to examine the longitudinal associations between multimorbidity and mental health symptoms.

Results

Multimorbidity at the pandemic onset was associated with elevated depressive (b = 0.37; 95% CI: 0.16-0.59) and anxiety (b = 0.39; 95% CI: 0.15-0.62) symptoms at baseline. Changes in symptoms for all three mental health outcomes were nonlinear over time, with worsening symptoms over the first 6 months of the pandemic (April/May to September/October 2020), followed by improvement in symptoms over the subsequent 6 months (September/October 2020 to April/May 2021). Middle-aged and older adults with multimorbidity experienced faster rates of change in anxiety symptoms and loneliness than those without multimorbidity, with persistently elevated mental health symptomatology throughout the follow-up.

Discussion and Implications

Results highlight the unique and persistent mental health risks experienced by middle-aged and older adults with multimorbidity during the COVID-19 pandemic. The observed improvements in symptoms underscore the mental resilience of these individuals, indicating their adaptation to the ongoing pandemic.

Time and gender measurement invariance in the modified Calderon depression scale

Background

Assessing change and comparing groups requires high quality and invariant scales. However, there is limited evidence of simultaneous longitudinal and gender measurement invariance for depression scales. This evidence is even more scant with long-established panel studies from low and middle-income countries.

Methods

In this paper, we used three waves (years 2002, 2005, and 2009) of a nationally representative panel study to examine the psychometric properties of the modified Calderon Depression Scale (CAL-DM)—a one-item exclusion of a depression scale designed for a population residing in a middle-income country (i.e., Mexico). Our analytical sample included 16,868 participants: 7,696 men and 9,172 women. Using Confirmatory Factor Analysis (CFA), we first examined overall fit in each wave, and then we tested time, gender, and time-gender measurement invariance across three waves. We also estimated and compared depression score means by gender and time. Finally, we examined the association between depression scores and self-rated health.

Results

Our analyses indicated the CAL-DM is a robust scale, suitable for time, gender, and time by gender comparisons. Mean comparisons exemplified how the scale can be used as a latent variable or a summative score. Women have higher depression scores than men and the gap is narrowing from 3.4 in 2002 to 2.5 in 2009.

Conclusions

The CAL-DM is a reliable instrument to measure depression in the Mexican general population that can be used for epidemiological research. Our results will contribute to a burgeoning line of research that examines the social determinants of depression, and the risk factors associated with different individuals’ depression trajectories over the life course.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12955-022-02007-8.

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.

Gender-based depression trajectories following heart disease onset: significant predictors and health outcomes

BACKGROUND

Using a nationally representative sample of U.S. older adults (50+), this study investigates gender-based depression trajectories following heart disease onset and associated risk of disability and mortality over an 8-year period.

METHOD

Six waves of longitudinal data from the Health and Retirement Study (2006-2016) were used (n = 1787). Heart disease onset was defined as self-reporting no heart disease at baseline but reporting a positive diagnosis in a subsequent wave. Growth Mixture Modelling identified depression trajectories. Multinomial logistic regression models determined significant predictors of depression trajectories. Cox proportional-hazards models examined the associated disability and mortality risks.

RESULTS

Three distinct depression trajectories were identified, including persistent minimal depression (men: 68.65%; women: 60.17%), moderate depression (women: 29.70%; men: 17.97%), and chronic depression (women: 10.12%) or emerging depression (men: 13.38%). Younger age and depression status at baseline were associated with women's chronic depression and men's emerging depression. Chronic/emerging and moderate depression were associated with higher disability risks than was minimal depression among both women and men (hazard ratios [HR] ranged from 2.12 to 3.92, p < 0.001). Only men's emerging depression was linked to higher mortality risk compared to minimal depression (HR = 2.03, p < 0.001).

CONCLUSION

Longitudinal course of depression following onset of heart disease is heterogeneous in later life. Unfavorable depression trajectories (i.e. moderate, chronic, and emerging) were associated with higher disability risk compared to the minimal depression trajectory. Study findings characterize risk stratification regarding depression after heart disease onset, which can inform the development of interventions to improve health outcomes among older adults with heart conditions.

The relationship between activities of daily living and psychological distress among Chinese older adults: A serial multiple mediation model

BACKGROUND

Few studies have shed light on the mechanisms underlying the link between activities of daily living (ADL) and psychological distress. This study aimed to explore the multiple mediating roles of loneliness and sleep quality in this relationship among Chinese older adults.

METHODS

A total of 3250 older adults completed the Barthel Index, UCLA 20-item Loneliness Scale, Pittsburgh Sleep Quality Index, and Depression, Anxiety, and Stress Scale Questionnaire. Serial multiple mediation analysis was conducted using Hayes' PROCESS macro.

RESULTS

ADL was found to directly impact psychological distress through three significant mediation pathways: (1) loneliness (B=-0.124, 95% CI=-0.140, -0.109), which accounted for 23.98% of the total effect, (2) sleep quality (B=-0.050, 95% CI=-0.063, -0.039), which accounted for 9.67% of the total effect, and (3) loneliness and sleep quality (B=-0.015, 95% CI=-0.020, -0.012), accounting for 2.91% of the total effect. The total mediating effect was 36.56%.

LIMITATIONS

The cross-sectional design we used limited causal interpretations. Future studies could examine longitudinal changes in outcome measures.

CONCLUSIONS

These findings highlight the role of loneliness and sleep quality as serial mediators of the relationship between ADL and psychological distress. Thus, for the early detection and prevention of psychological distress, it is necessary to conduct loneliness and sleep quality interventions for older adults with ADL limitations.

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.

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 General Health Status and Depressive Symptoms Among Persons With Cognitive Impairment in the United States

ObjectivesTo identify and examine heterogeneous trajectories of general health status (GHS) and depressive symptoms (DS) among persons with cognitive impairment (PCIs). Methods: We use group-based trajectory models to study 2361 PCIs for GHS and 1927 PCIs for DS from the National Health and Aging Trends Survey 2011-2018, and apply multinomial logistic regressions to predict identified latent trajectory group memberships using individual characteristics. Results: For both GHS and DS, there were six groups of PCIs with distinct trajectories over a 7-year period. More than 40% PCIs experienced sharp declines in GHS, and 35.5% experienced persistently poor GHS. There was greater heterogeneity in DS trajectories with 55% PCIs experiencing improvement, 16.4% experiencing persistently high DS, and 30.5% experiencing deterioration. Discussion: The GHS trajectories illustrate the heavy burden of poor and declining health among PCIs. Further research is needed to understand the factors underlying stable or improving DS despite declining GHS.

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.

3-D health trajectories and related childhood predictors among older adults in China

This study aimed to identify the multi-trajectories of 3-D health of older adults in China and to explore whether the childhood predictors are associated with 3-D health trajectory. Data came from five waves of the China Health and Retirement Longitudinal Study (CHARLS, 2011 to 2018). A multi-trajectory modeling approach was carried out to jointly estimate the trajectories of 3-D health. A multinomial regression model was used to investigate the relationships between childhood predictors and the joint trajectories. We identified three typical joint 3-D health trajectories. Female, childhood health, maternal and paternal educations, childhood friendships, family and neighborhood predictors could all affect 3-D health trajectories of older adults directly or indirectly through adult variables. The 3-D health trajectories showed increasing trends, thus the government should perform more interventions toward the childhood predictors for better health of 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.

A GPS-Based Framework for Understanding Outdoor Mobility Patterns of Older Adults with Dementia: An Exploratory Study

INTRODUCTION

An active lifestyle may protect older adults from cognitive decline. Yet, due to the complex nature of outdoor environments, many people living with dementia experience decreased access to outdoor activities. In this context, conceptualizing and measuring outdoor mobility is of great significance. Using the global positioning system (GPS) provides an avenue for capturing the multi-dimensional nature of outdoor mobility. The objective of this study is to develop a comprehensive framework for comparing outdoor mobility patterns of cognitively intact older adults and older adults with dementia using passively collected GPS data.

METHODS

A total of 7 people with dementia (PwD) and 8 cognitively intact controls (CTLs), aged 65 years or older, carried a GPS device when travelling outside their homes for 4 weeks. We applied a framework incorporating 12 GPS-based indicators to capture spatial, temporal, and semantic dimensions of outdoor mobility.

RESULTS

Despite a small sample size, the application of our mobility framework identified several significant differences between the 2 groups. We found that PwD participated in more medical-related (Cliff's Delta = 0.71, 95% CI: 0.34-1) and fewer sport-related (Cliff's Delta = -0.78, 95% CI: -1 to -0.32) activities compared to the cognitively intact CTLs. Our results also suggested that longer duration of daily walking time (Cliff's Delta = 0.71, 95% CI: 0.148-1) and longer outdoor activities at night, after 8 p.m. (Hedges' g = 1.42, 95% CI: 0.85-1.09), are associated with cognitively intact individuals.

CONCLUSION

Based on the proposed framework incorporating 12 GPS-based indicators, we were able to identify several differences in outdoor mobility in PwD compared with cognitively intact CTLs.

Prenatal programming of depression: cumulative risk or mismatch in the Ontario Child Health Study?

Consistent with cumulative risk hypotheses of psychopathology, studies examining prenatal adversity and later mental health largely suggest that pre and postnatal stress exposures have summative effects. Fewer data support that a mismatch in stress levels between pre- and postnatal life increases risk (the mismatch hypothesis). In this retrospective cohort study using data from the 1983 Ontario Child Health Study (OCHS), we examined interactions between birth weight status and childhood/adolescent stress to predict major depression in adulthood. Ninety-five participants born at low birth weight (LBW; <2500 g) and 972 normal birth weight (NBW) control participants completed the Composite International Diagnostic Interview Short-Form Major Depression module at 21-34 years of age. A youth risk scale consisting of five stressful exposures (family dysfunction, socioeconomic disadvantage, parental criminality, maternal mental illness, exposure to other life stresses) indexed child/adolescent adversity. Birth weight groups did not differ by childhood risk score nor depression levels. A significant interaction was observed between birth weight and the youth risk scale whereby exposure to increasing levels of exposure to childhood/adolescent adversity predicted increased levels of depression in the NBW group, but lower rates in those born at LBW. Consistent with the mismatch hypothesis, data from a large, longitudinally followed cohort suggest that the mental health of adults born LBW may be more resilient to the adverse effects of childhood/adolescent stress. Taken in the context of previous studies of low birth weight infants, these findings suggest that the nature of associations between gestational stress and later mental health may depend on the magnitude of prenatal stress exposure, as well as the degree of resilience and/or plasticity conferred by their early-life environment.

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.

Heterogeneity in the trajectories of depressive symptoms among elderly adults in rural China: The role of housing characteristics

Depression among older adults in rural areas, a multiply disadvantaged group, has become a severe public health issue in China. Few studies, however, examine the role of rural living conditions as a potential risk factor for depression. This study uses panel data from CHARLS, a Chinese population-based longitudinal study, and employs growth mixture modeling to examine the association between rural housing characteristics and the heterogeneous pattern of depression trajectories among elderly adults in rural areas. The results suggest that there is heterogeneity in elderly people's depression and that stably living in multifloor and high-quality houses is associated with a higher probability of being in the stably low-depression trajectory class.

Trajectories of Self-Reported Opioid Use Among Patients With HIV Engaged in Care: Results From a National Cohort Study

BACKGROUND

No prior studies have characterized long-term patterns of opioid use regardless of source or reason for use among patients with HIV (PWH). We sought to identify trajectories of self-reported opioid use and their correlates among a national sample of PWH engaged in care.

SETTING

Veterans Aging Cohort Study, a prospective cohort including PWH receiving care at 8 US Veterans Health Administration (VA) sites.

METHODS

Between 2002 and 2018, we assessed past year opioid use frequency based on self-reported "prescription painkillers" and/or heroin use at baseline and follow-up. We used group-based trajectory models to identify opioid use trajectories and multinomial logistic regression to determine baseline factors independently associated with escalating opioid use compared to stable, infrequent use.

RESULTS

Among 3702 PWH, we identified 4 opioid use trajectories: (1) no lifetime use (25%); (2) stable, infrequent use (58%); (3) escalating use (7%); and (4) de-escalating use (11%). In bivariate analysis, anxiety; pain interference; prescribed opioids, benzodiazepines and gabapentinoids; and marijuana use were associated with escalating opioid group membership compared to stable, infrequent use. In multivariable analysis, illness severity, pain interference, receipt of prescribed benzodiazepine medications, and marijuana use were associated with escalating opioid group membership compared to stable, infrequent use.

CONCLUSION

Among PWH engaged in VA care, 1 in 15 reported escalating opioid use. Future research is needed to understand the impact of psychoactive medications and marijuana use on opioid use and whether enhanced uptake of evidence-based treatment of pain and psychiatric symptoms can prevent escalating use among PWH.

The General Factor of Psychopathology

An important advance in understanding and defining mental disorders has been the development of empirical approaches to mapping dimensions of dysfunction and their interrelatedness. Such empirical approaches have consistently observed intercorrelations among the many forms of psychopathology, leading to the identification of a general factor of psychopathology (the p factor). In this article, we review empirical support for p, including evidence for the stability and criterion validity of p. Further, we discuss the strong relationship between p and both the general factor of personality and the general factor of personality disorder, substantive interpretations of p, and the potential clinical utility of p. We posit that proposed substantive interpretations of p do not explain the full range of symptomatology typically included in p. The most plausible explanation is that p represents an index of impairment that has the potential to inform the duration and intensity of a client's mental health treatment.