Depression Among Older Adults: A 20-Year Update on Five Common Myths and Misconceptions

Brain inflammaging in the pathogenesis of late-life depression

Late-life depression (LLD) is a prevalent mental disorder among older adults. Previous studies revealed that many pathologic factors are associated with the onset and development of LLD. However, the precise mechanisms that cause LLD remain elusive. Aging induces chronic inflammatory changes mediated by alterations of immune responses. The chronic systemic inflammation termed "inflammaging" is linked to the etiology of aging-related disorders. Aged microglia induce senescence-associated secretory phenotype (SASP) and transition to M1-phenotype, cause neuroinflammation, and diminish neuroprotective effects. In addition, there is an age-dependent loss of blood-brain barrier (BBB) integrity. As the BBB breakdown can lead to invasion of immune cells into brain parenchyma, peripheral immunosenescence may cause microglial activation and neuroinflammation. Therefore, it is suggested that these mechanisms related to brain inflammaging may be involved in the pathogenesis of LLD. In this review, we described the role of brain inflammaging in LLD. Pharmacologic approaches to prevent brain inflammaging appears to be a promising strategy for treating LLD.

How sustainable is resilience? A mixed-methods study on the COVID-19-pandemic as a challenge to resilience resources of older adults who previously recovered from depression

OBJECTIVES

Despite expanding knowledge about the internal and external resources that contribute to resilience among individuals who have experienced depression, the long-term accessibility and protectiveness of these resources across different stressors is unknown. We investigated whether and how the resilience resources of individuals who previously recovered from late-life depression remained protective during the COVID-19 pandemic.

METHODS

We used a sequential explanatory mixed methods design. Quantitative data were derived from two psychiatric case-control cohorts and included twelve repeated measures during the COVID-19 pandemic (n = 465, aged ≥ 60). Qualitative data included two sequential interviews held in 2020 (n = 25) and 2021 (n = 19). We used thematic analysis to determine the protective resources after depression and during the COVID-19 pandemic and linear mixed models to examine the effect of these resources on change in depressive symptoms during the COVID-19 pandemic.

RESULTS

While resources of 'Taking agency', 'Need for rest', 'Managing thought processes' and 'Learning from depression' remained accessible and protective during the pandemic, 'Social support' and 'Engaging in activities' did not. 'Negotiating with lockdown measures', 'changing social contact' and 'changing activities' were compensating strategies. Quantitative data confirmed the protectiveness of social contact, social cohesion, sense of mastery, physical activity, staying active and entertained and not following the media.

CONCLUSION

Many of the resources that previously helped to recover from depression also helped to maintain good mental health during the COVID-19 pandemic. Where accessibility and protectiveness declined, compensatory strategies or new resources were used. Hence, the sustainability of resilience is enabled through adaptation and compensation processes.

Analyzing the Prevalence of Depression and Its Influencing Factors in Elderly Patients With Obstructive Sleep Apnea: A Machine Learning Approach

Objective: Depressive symptoms are prevalent and detrimental in elderly patients with obstructive sleep apnea (OSA). Understanding the factors influencing these symptoms is crucial. This study aims to use machine learning algorithms to identify the contributing factors in this population. Method: The National Health and Nutrition Examination Survey database provided the data for this study. The study includes elderly patients who are eligible for diagnostic evaluation for OSA. Logistic regression was used to screen their influencing factors, and random forest (RF), extreme gradient boosting (XGB), artificial neural network (ANN), and support vector machine (SVM) were utilized to 4 algorithms were used to construct depressive symptoms classification models, and the best model performance was selected for feature importance ranking. Influential factors included demographics (age, gender, education, etc.), chronic disease status (diabetes, hypertension, etc.), and laboratory findings (white blood cells, C-reactive protein, cholesterol, etc.). Result: Ultimately, we chose 1538 elderly OSA patients for the study, out of which 528 (34.4%) suffered from depressive symptoms. Logistic regression initially identified 17 influencing factors and then constructed classification models based on those 17 using RF, XGB, ANN, and SVM. We selected the best-performing SVM model [area under the curve (AUC) = 0.746] based on the AUC values of 0.73, 0.735, 0.742, and 0.746 for the 4 models. We ranked the variables in order of importance: General health status, sleep disorders, gender, frequency of urinary incontinence, liver disease, physical activity limitations, education, moisture, eosinophils, erythrocyte distribution width, and hearing loss. Conclusion: Elderly OSA patients experience a high incidence of depressive symptoms, influenced by various objective and subjective factors. The situation is troubling, and healthcare institutions and policymakers must prioritize their mental health. We should implement targeted initiatives to improve the mental health of high-risk groups in multiple dimensions.

Continued Homelessness and Depressive Symptoms in Older Adults

Importance

Depression is common in adults experiencing homelessness. It is unclear whether continued homelessness is associated with more depressive symptoms.

Objective

To examine the association between residential status and depressive symptoms in adults aged 50 years or older experiencing homelessness at study entry.

Design, Setting, and Participants

This cohort study analyzed results from the Health Outcomes of People Experiencing Homelessness in Older Middle Age (HOPE HOME) project, which in 2013 began enrolling adults aged 50 years or older experiencing homelessness in Oakland, California, and conducted structured interviews every 6 months for a mean duration of 5.5 years through 2023 (for this cohort study). Eligible participants included those aged 50 years or older, able to speak English, and experiencing homelessness at enrollment. We analyzed data collected from 2013 to 2023.

Exposures

The exposure of interest was residential status. At follow-up visits, residential status was categorized as (1) homelessness (meeting the HEARTH [Homeless Emergency Assistance and Rapid Transition to Housing] Act definition) or (2) housed (living in a noninstitutional environment and not meeting the HEARTH Act definition).

Main Outcomes and Measures

The primary outcome was moderate to severe depressive symptoms (with Center for Epidemiologic Studies-Depression [CES-D] scale score ≥22). The augmented inverse probability of treatment weighting (AIPTW) approach was used to examine the association between continued homelessness and depressive symptoms. The AIPTW adjusted for the following variables: number of chronic health conditions, age, sex, visiting a health care practitioner, receiving outpatient mental health treatment, receiving mental health medication, exposure to abuse, substance use disorder, and binge drinking.

Results

The cohort was composed of 450 participants, of whom 343 (76.2%) were males, and the mean (SD) age was 58.5 (5.2) years. Participants completed a median (IQR) of 8.9 (8-11) follow-up visits. With 1640 person-years of observation time, participants continued homelessness for 880 person-years (57.1%) and experienced being housed for 715 person-years (44.3%). Many participants (304 [78.0%]) were housed during at least 1 follow-up visit. The odds of a CES-D scale score of 22 or higher was significantly higher among participants who continued experiencing homelessness than among housed participants (marginal causal odds ratio, 1.08; 95% CI, 1.04-1.11; P < .001).

Conclusions and Relevance

This cohort study found that continued homelessness was associated independently with increased odds of depressive symptoms. Obtaining housing may have a favorable role in depression and overall well-being of older adults experiencing homelessness and may be considered as a mental health intervention.

Age, period, cohort effects in trends of depressive symptoms among middle-aged and older Chinese adults

Objectives

To investigate the effects of age, period, and cohort on the trends of depression; and to examine the influence of these three temporal effects on residential disparities in depression.

Methods

Using data from the China Health and Retirement Longitudinal Study (CHARLS) during 2011 to 2020, involving 77,703 respondents aged 45 years old and above. The measurement of depressive symptoms was the score of 10-question version of the Center for Epidemiologic Studies Depression Scale (CES-D 10). The hierarchical age-period-cohort cross-classified random effects models were conducted to examine trends in depressive symptoms related to age, period and cohort.

Results

CES-D scores increased with age and slightly decreased at older age. The cohort trends mostly increased except for a downward trend among those born in 1950s. As for the period effect, CES-D scores decreased gradually from 2011 to 2013 followed by a upward trend. Rural residents were associated with higher level of depression than those live in urban area. These residence gaps in depression enlarged before the age of 80, and then narrowed. The urban-rural disparities in CES-D scores gradually diminished across cohorts, while the corresponding period-based change in urban-rural gaps was not significant.

Conclusion

When age, period, cohort factors are considered, the age effects on depression dominated, and the period and cohort variations were relatively small. The residence disparities in depression reduced with successive cohorts, more attention should be paid to the worsening depression condition of younger cohorts in urban areas.

Late Life Depression is Not Associated With Alzheimer-Type Tau: Preliminary Evidence From a Next-Generation Tau Ligand PET-MR Study

OBJECTIVE

To investigate whether tau accumulation is higher in late life depression (LLD) compared to non-depressed cognitively unimpaired (CU) older adults. To situate these findings in the neurodegeneration model of LLD by assessing group differences in tau and grey matter volume (GMV) between LLD, non-depressed CU and mild cognitive impairment due to Alzheimer's Disease (MCI).

DESIGN

Monocentric, cross-sectional study.

SETTING

University Psychiatric hospital, memory clinic and outpatient neurology practice.

PARTICIPANTS

A total of 102 adults over age 60, of whom 19 currently depressed participants with LLD, 19 with MCI and 36 non-depressed CU participants completed neuropsychological testing and tau PET-MR imaging.

MEASUREMENTS

PET-MRI: 18F-MK-6240 tracer SUVR for tau assessment; 3D T1-weighted structural MRI derived GMV in seven brain regions (temporal, cingulate, prefrontal and parietal regions); amyloid PET to assess amyloid positivity; Neuropsychological test scores: MMSE, RAVLT, GDS, MADRS. ANCOVA and Spearman's rank correlations to investigate group differences in tau and GMV, and correlations with neuropsychological test scores respectively.

RESULTS

Compared to non-depressed CU participants, LLD patients showed lower GMV in temporal and anterior cingulate regions but similar tau accumulation and amyloid positivity rate. In contrast, MCI patients had significantly higher tau accumulation in all regions. Tau did not correlate with any neuropsychological test scores in LLD.

CONCLUSION

Our findings suggest AD-type tau is not higher in LLD compared to non-depressed, cognitively unimpaired older adults and appears unlikely to contribute to lower gray matter volume in LLD, further underscoring the need to distinguish major depressive disorder from depressive symptoms occurring in early AD.

Prospective exploration of the role of combined internalizing symptoms in self-reported memory among older adults during the COVID-19 pandemic

OBJECTIVES

A growing literature suggests depression and anxiety increase risk of cognitive decline. However, few studies have examined their combined effects on cognition, among older adults, especially during periods of high stress.

METHOD

Based on a sample of community dwelling older adults (N = 576), we evaluated the effects of pre-pandemic anxiety and depressive symptoms, obtained in September 2018, to changes in self-reported memory (SRM) assessed 3 months into the COVID-19 pandemic.

RESULTS

In separate models, we found participants with depression scores at least 1-SD above the mean and participants with anxiety scores at least 2-SD above the mean to report a significant decline in SRM. Moderation analyses revealed those with high depressive symptoms (at or above the mean) showed a decrease in SRM regardless of anxiety. The extent to which high pre-pandemic anxiety symptoms influenced SRM is dependent on whether pre-pandemic depression was at or above the mean.

CONCLUSIONS

Pre-pandemic depression predicted a decline in SRM regardless of anxiety. Moderation analyses revealed that the extent to which anxiety symptoms influenced SRM was dependent on depression being at or above the mean. Those with high anxiety and depression are at highest risk of experiencing cognitive consequences related to stressful exposures like COVID-19.

Enhancing behavioral health competencies for senior center staff through workforce development and training

Increases in the numbers of older adults with mental health and substance use concerns compel us to identify best practices in training to address these issues. Senior Centers are an ideal location for behavioral health education programs as they are the go-to place for many older adults. This paper describes an online certificate program in Behavioral Health and Aging offered by the Center for Aging and Disability Education and Research at Boston University School of Social Work in collaboration with the National Council on Aging to increase senior center staff knowledge and skills. A total of 228 senior center staff in Illinois, Florida, and Wisconsin completed the online certificate program. There were statistically significant changes in key competencies for all courses based on pre-post assessment. We held key informant interviews to assess the impact of training and participants stated that their knowledge, skills, and behaviors were influenced by the program.

Age, Education and Depression Among Older Adults: The Mediating Role of Physical Activity

OBJECTIVES

Past geriatric studies related to the mediating role of physical activity in depression are scarce. This is perhaps the first study to examine the mediating effects of physical activity on the associations between depression and age, and education among older adults.

METHODS

Statistical analyses of cross-sectional data from a nationally representative survey on Malaysian older adult health were conducted. Structural equation modeling was used to assess the extent to which physical activity mediated the relationships between depression and age, and education. Associations between variables were explored using multivariable logistic regressions.

RESULTS

Analyses were based on a sample of 3974 older adults (aged ≥60 years). Only 12.2% of older adults had depression. Age was positively associated with the odds of depression. Better educated older adults were less likely to experience depression than less educated older adults. Physical activity fully mediated the association between depression and age, whereas it partially explained the depression-education relationship.

CONCLUSIONS

Older age and low educational levels were risk factors for depression, and physical activity was identified as a mediator.

CLINICAL IMPLICATIONS

Older and less-educated older adults should be encouraged to participate in physical activity, and those at risk of depression should be given special attention.

Age-specific risk factors of depression among the oldest-old - evidence from the multicenter AgeCoDe-AgeQualiDe study

Purpose

The present study aimed to investigate age-group-specific incidence rates and risk factors for depressive symptoms in the highest age groups.

Methods

Data were derived from a prospective multicenter cohort study conducted in primary care - the AgeCoDe/AgeQualiDe study. In total, 2,436 patients 75 years and older were followed from baseline to ninth follow-up. To assess depressive symptoms, the short version of the Geriatric Depression Scale (GDS-15, cutoff score 6) was used. Age-specific competing risk regressions were performed to analyze risk factors for incident depressive symptoms in different age groups (75 to 79, 80 to 84, 85+ years), taking into account the accumulated mortality.

Results

The age-specific incidence rate of depression was 33 (95% CI 29-38), 46 (95% CI 40-52) and 63 (95% CI 45-87) per 1,000 person years for the initial age groups 75 to 79, 80 to 84 and 85+ years, respectively. In competing risk regression models, female sex, mobility as well as vision impairment, and subjective cognitive decline (SCD) were found to be risk factors for incident depression for age group 75 to 79, female sex, single/separated marital status, mobility as well as hearing impairment, and SCD for age group 80 to 84, and mobility impairment for age group 85+.

Conclusion

Depressive symptoms in latest life are common and the incidence increases with increasing age. Modifiable and differing risk factors across the highest age groups open up the possibility of specifically tailored prevention concepts.

Predicting treatment response using machine learning: A registered report

OBJECTIVE

Previous research on psychotherapy treatment response has mainly focused on outpatients or clinical trial data which may have low ecological validity regarding naturalistic inpatient samples. To reduce treatment failures by proactively screening for patients at risk of low treatment response, gain more knowledge about risk factors and to evaluate treatments, accurate insights about predictors of treatment response in naturalistic inpatient samples are needed.

METHODS

We compared the performance of different machine learning algorithms in predicting treatment response, operationalized as a substantial reduction in symptom severity as expressed in the Patient Health Questionnaire Anxiety and Depression Scale. To achieve this goal, we used different sets of variables-(a) demographics, (b) physical indicators, (c) psychological indicators and (d) treatment-related variables-in a naturalistic inpatient sample (N = 723) to specify their joint and unique contribution to treatment success.

RESULTS

There was a strong link between symptom severity at baseline and post-treatment (R2 = .32). When using all available variables, both machine learning algorithms outperformed the linear regressions and led to an increment in predictive performance of R2 = .12. Treatment-related variables were the most predictive, followed psychological indicators. Physical indicators and demographics were negligible.

CONCLUSIONS

Treatment response in naturalistic inpatient settings can be predicted to a considerable degree by using baseline indicators. Regularization via machine learning algorithms leads to higher predictive performances as opposed to including nonlinear and interaction effects. Heterogenous aspects of mental health have incremental predictive value and should be considered as prognostic markers when modelling treatment processes.

Optimizing Older Adult Mental Health in Support of Healthy Ageing: A Pluralistic Framework to Inform Transformative Change across Community and Healthcare Domains

This paper describes a pluralistic framework to inform transformative change across community and healthcare domains to optimize the mental health of older adults in support of healthy ageing. An extensive review and analysis of the literature informed the creation of a framework that contextualizes the priority areas of the WHO Decade of Health Ageing (ageism, age-friendly environments, long-term care, and integrated care) with respect to older adult mental health. The framework additionally identifies barriers, facilitators, and strategies for action at macro (social/system), meso (services/supports), and micro (older adults) levels of influence. This conceptual (analytical) framework is intended as a tool to inform planning and decision-making across policy, practice, education and training, research, and knowledge mobilization arenas. The framework described in this paper can be used by countries around the globe to build evidence, set priorities, and scale up promising practices (both nationally and sub-nationally) to optimize the mental health and healthy ageing trajectories of older adults as a population.

Are digital technologies an effective inhibitor of depression among middle-aged and older adults? Micro-level evidence from a panel study

The increased number of middle-aged and older adults leads to depression in this stratum of the population as a topical social and public health issue. However, the new generation of information technologies has exerted a profound impact on the lives of middle-aged and older adults, and offers potential solutions for alleviating their depression. This study utilizes data from the China Health and Retirement Longitudinal Study (CHARLS) collected between 2011 and 2018 and combines them with city-level traits. The results demonstrate that digital technology can reduce depression levels effectively in this group. Mechanism analysis reveals that digital technology could improve life satisfaction and subjective health status levels, which, in turn, reduces depression levels. Heterogeneity analysis shows that the positive effects of digital technology on depression were more pronounced among middle-aged and older adults with urban household registration compared to the rural population. Finally, recommendations are provided for reducing depression levels among middle-aged and older adults.

Research status and global trends of late-life depression from 2004 to 2023: bibliometric analysis

Background

Global research hotspots and future research trends in the neurobiological mechanisms of late-life depression (LLD) as well as its diagnosis and treatment are not yet clear.

Objectives

This study profiled the current state of global research on LLD and predicted future research trends in the field.

Methods

Literature with the subject term LLD was retrieved from the Web of Science Core Collection, and CiteSpace software was used to perform econometric and co-occurrence analyses. The results were visualized using CiteSpace, VOSviewer, and other software packages.

Results

In total, 10,570 publications were included in the analysis. Publications on LLD have shown an increasing trend since 2004. The United States and the University of California had the highest number of publications, followed consecutively by China and England, making these countries and institutions the most influential in the field. Reynolds, Charles F. was the author with the most publications. The International Journal of Geriatric Psychiatry was the journal with the most articles and citations. According to the co-occurrence analysis and keyword/citation burst analysis, cognitive impairment, brain network dysfunction, vascular disease, and treatment of LLD were research hotspots.

Conclusion

Late-life depression has attracted increasing attention from researchers, with the number of publications increasing annually. However, many questions remain unaddressed in this field, such as the relationship between LLD and cognitive impairment and dementia, or the impact of vascular factors and brain network dysfunction on LLD. Additionally, the treatment of patients with LLD is currently a clinical challenge. The results of this study will help researchers find suitable research partners and journals, as well as predict future hotspots.

The association between functional disability and depressive symptoms among older adults: Findings from the China Health and Retirement Longitudinal Study (CHARLS)

BACKGROUND

Previous research has shown that depressive symptoms in older adults was associated with functional disability, including basic activities of daily living (BADLs) and instrumental activities of daily living (IADLs). However, little is known about the impact of different patterns of functional disability and new-onset functional disability on subsequent depressive symptoms.

OBJECTIVE

To determine the effect of various patterns of functional disability and new-onset functional disability on depressive symptoms among Chinese older adults aged 60 years and above.

METHOD

The study included 3242 older adults from the China Health and Retirement Longitudinal Study (CHARLS), which was conducted from 2011 to 2018. Cox proportional hazards models were used to investigate the associations between patterns of functional disability and depressive symptoms. The associations were also examined in the population with new-onset functional disability.

RESULT

During 15,321 person-years of follow-up, 946 depressive symptoms occurred. The hazard ratios (HRs) of depressive symptoms were 1.29 (95 % confidence intervals [CI]: 1.05-1.58) for IADLs disability, 1.22 (95 % CI: 0.75-1.55) for BADLs disability, and 1.78 (95 % CI: 1.41-2.22) for both IADLs and BADLs disabilities. In the analysis of new-onset functional disability, the HRs were 1.50 (95 % CI: 1.06-2.13) for onset IADLs disability, 1.28 (95 % CI: 0.85-1.91) for onset BADLs disability, and 1.69 (95 % CI: 1.03-2.76) for both onset BADLs and IADLs disabilities.

LIMITATIONS

Depressive symptoms were assessed using the Centre for Epidemiological Studies Depression Scale, which has limitations in diagnosing clinical depression.

CONCLUSION

Functional disability increases the risk of depressive symptoms, particularly impaired IADLs function. Psychological care for older adults with functional disability should be strengthened.

Measurement invariance and differential item functioning of the PHQ-9 and GAD-7 between working age and older adults seeking treatment for common mental disorders

BACKGROUND

The nine-item Patient Health Questionnaire (PHQ-9) and seven-item Generalised Anxiety Disorder (GAD-7) scale are widely used clinically and within research, and so it is important to determine how the measures, and individual items within the measures, are answered by adults of differing ages. This study sought to evaluate measurement invariance and differential item functioning (DIF) of the PHQ-9 and GAD-7 between working age and older adults seeking routine psychological treatment.

METHODS

Data of working age (18-64 years old) and older (≥65) adults in eight Improving Access to Psychological Therapies (IAPT) services were used. Confirmatory factor analysis (CFA) was used to establish unidimensionality of the PHQ-9 and GAD-7, with multiple-group CFA to test measurement invariance and The Multiple Indicators, Multiple Causes Models approach to assess DIF. The employed methods were applied to a propensity score matched (PSM) sample in sensitivity analyses to control for potential confounding.

RESULTS

Data from 166,816 patients (159,325 working age, 7491 older) were used to show measurement invariance for the PHQ-9 and GAD-7, with limited evidence of DIF and similar results found with a PSM sample (n = 5868).

LIMITATIONS

The localised sample creates an inability to detect geographical variance, and the potential effect of unmeasured confounders cannot be ruled out.

CONCLUSIONS

The findings support the use of the PHQ-9 and GAD-7 measures for working age and older adults, both clinically and in research settings. This study validates using the measures for these age groups to assess clinically significant symptom thresholds, and monitor treatment outcomes between them.

Physical Activity and Neuropsychological Functioning in Older Adults

Research has identified a positive relationship between physical activity and neuropsychological functioning across the lifespan. The present study further examined the relationship between physical activity, depression, anxiety, and cognitive functioning in community-dwelling older adults (ages 65-96) who completed an outpatient neuropsychological evaluation (N = 526). Psychometrically sound and validated measures were used to assess depression, anxiety, and cognitive functioning. Analyses of covariance (ANCOVA) were conducted to examine differences between individuals who reported regularly engaging in physical activity and those who did not, after adjusting for demographic variables (age, education, and gender). Results indicated that physical activity was associated with better scores on measures of depression, anxiety, and cognitive functioning. Effect sizes for total scores on all measures were large, but there was a sizeable range of effect sizes (from small to large) for various cognitive domains. Smallest effect sizes were observed for subtests measuring language skills and visuospatial abilities, whereas largest effect sizes were seen in processing speed and memory. Results suggest that engaging in physical activity may be a beneficial non-pharmacological intervention for older adults. These findings underscore the importance of integrating physical activity programs in community and healthcare settings to foster mental and cognitive health in older populations.

Correlation of Positive Psychological Health among US Adults (Aged ≥ 50 Years) with Pain and Documented Opioid Treatment

In this study, we aimed to identify the factors correlated with positive psychological health among United States older adults (≥50 years) with pain and documented opioid treatment. This retrospective cross-sectional study utilized a nationally representative dataset (Medical Expenditure Panel Survey). A multivariable logistic regression model was developed to assess the correlation of positive psychological health in the eligible population. The logistic regression model showed having excellent/very good/good (versus fair/poor) perceived health (adjusted odds ratio [AOR] = 9.062; 95% confidence interval [CI] = 5.383, 15.254) had a statistically significant correlation with positive psychological health among the eligible population. This finding offers important insights for clinicians and policymakers to consider when formulating approaches to better manage the psychological health of United States older adults with pain and documented opioid treatment.

The 'discontinuity hypothesis' of depression in later life-clinical and research implications

The term depression is overused as an umbrella term for a variety of conditions, including depressed mood and various psychiatric disorders. According to psychiatric diagnostic criteria, depressive disorders impact nearly all aspects of human life and are a leading cause of disability worldwide. The widespread assumption that different types of depression lie on a continuum of severity has stimulated important research on subthreshold depression in later life. This view assumes that depressed mood is a precursor of a depressive disorder. The present narrative review argues why in later life depressed mood might either (i) lie on a continuum with depressive disorders among people vulnerable for a depressive disorder or (ii) be an ageing-related epiphenomenon of underlying physical illnesses in people who are resilient to depressive disorders ('discontinuity hypothesis'). Three arguments are discussed. First, the course of depressed mood and depressive disorders differs across the life span. Second, screening instruments for depression have low predictive value for depressive disorders in later life. Third, a dose-response relationship has not been consistently found across different types of depression and detrimental health outcomes. Using the umbrella term depression may partly explain why pharmacological treatment is less effective with increasing age, and negative health-related outcomes might be overestimated. The discontinuity hypothesis may prevent pharmacological overtreatment of milder subtypes of depression and may stimulate comprehensive multidisciplinary assessment as well as the development of separate treatment algorithms for depressed mood and depressive disorders.

Optimizing treatment for older adults with depression

This review presents a comprehensive guide for optimizing medication management in older adults with depression within an outpatient setting. Medication optimization involves tailoring the antidepressant strategy to the individual, ensuring the administration of appropriate medications at optimal dosages. In the case of older adults, this process necessitates not only adjusting or changing antidepressants but also addressing the concurrent use of inappropriate medications, many of which have cognitive side effects. This review outlines various strategies for medication optimization in late-life depression: (1) Utilizing the full dose range of a medication to maximize therapeutic benefits and strive for remission. (2) Transitioning to alternative classes (such as a serotonin and norepinephrine reuptake inhibitor [SNRI], bupropion, or mirtazapine) when first-line treatment with selective serotonin reuptake inhibitors [SSRIs] proves inadequate. (3) Exploring augmentation strategies like aripiprazole for treatment-resistant depression. (4) Implementing measurement-based care to help adjust treatment. (5) Sustaining an effective antidepressant strategy for at least 1 year following depression remission, with longer durations for recurrent episodes or severe presentations. (6) Safely discontinuing anticholinergic medications and benzodiazepines by employing a tapering method when necessary, coupled with counseling about the benefits of stopping them. Additionally, this article explores favorable medications for depression, as well as alternatives for managing anxiety, insomnia, allergy, overactive bladder, psychosis, and muscle spasm in order to avoid potent anticholinergics and benzodiazepines.

An analysis of the influencing factors of depression in older adults under the home care model

Objectives

To explore and analyze the influencing factors of depression in older adults living at home, so as to propose suggestions for improving the quality of older adults living at home.

Methods

We conducted a cross-sectional study on 498 older adults living at home based on questionnaire survey on the general information, daily living ability, health status, and care perception (including self-care, care for cohabitants, and care for non-cohabitants) of older adults living at home, as well as their willingness to help each other, and analyzed the influencing factors of depression among older adults living at home.

Results

The results showed a willingness to help older adults, self-care, and total activities of daily living (ADL), health status was an influential factor for depression in older adults (p < 0.05).

Conclusion

It aims to take targeted measures, such as encouraging older adults at home to actively participate in mutual assistance activities for older adults and care for themselves, so as to prevent and reduce the occurrence of depression in older adults.

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.

Distinct latent symptom profiles in late-onset depressive symptoms in community-dwelling older adults

OBJECTIVES

To examine the symptom profiles of late-onset depressive symptoms in a sample of older adults.

METHOD

The sample included 1,192 participants from the National Alzheimer's Coordinating Center Data Set. Participants were ≥65 years old, community-dwelling, and without cognitive impairment or a prior history of depression. Depressive symptoms were assessed using the Geriatric Depression Scale, 15-item (GDS-15). Latent class analysis (LCA) was used to identify and group participants based on profiles of depressive symptoms.

RESULTS

LCA revealed three distinct symptom profiles: (1) an Anhedonia/Amotivation profile with a higher probability of endorsing a combination of low positive emotion and amotivation (6%), (2) an Amotivation/Withdrawal profile with a high probability of endorsing only amotivational depressive symptoms (35%), and (3) an asymptomatic profile with no probability of endorsing any depressive symptoms (59%). Amotivational depressive symptoms were observed across both symptomatic profiles, while depressed mood (e.g. sadness) did not predominantly characterize any profile in this sample. There were also significant differences among symptom profiles in terms of demographic and clinical characteristics.

CONCLUSIONS

Findings highlight the importance of understanding depression at the symptom pattern level. A profile-based diagnostic approach may help improve the recognition of depressive symptoms in older adults.

Temporal relationship between depression and cognitive decline in the elderly: a two-wave cross-lagged study in a Chinese sample

Objectives: Less information is available about the temporal relationship between depression in the elderly and cognitive decline. In the current study, we (1) evaluated the temporal association between depression and cognitive decline in older adults over a 4-year period; (2) indicated which cognitive domains have a strong temporal relationship with depression.Methods: Using data from China Family Panel Studies, we examined the relationship between depression and cognition among adults aged 65 and older with a cross-lagged design.Results: The results showed that initial depression affected subsequent cognitive function, especially immediate and delayed recall, but that cognition decline did not predict depression over time.Conclusion: The findings suggest that depression precedes cognitive decline in older adults, which is of great significance for the future research of mild cognitive impairment and dementia in the elderly.

Depression in Older Adults: Do Current DSM Diagnostic Criteria Really Fit?

OBJECTIVES

The great heterogeneity in symptoms and clinical signs of depression in older adults makes the current diagnostic criteria difficult to apply. This scoping review aims to provide an update on the relevance of each of the diagnostic criteria as defined in the DSM-5.

METHODS

In order to limit the risk of bias inherent in the study selection process, a priori inclusion and exclusion criteria were defined. Articles meeting these criteria were identified using a combination of search terms entered into PubMed, PsycINFO, PsycARTICLES and SocINDEX.

RESULTS

Of the 894 articles identified, 33 articles were selected. This review highlights a different presentation of depression in older adults. Beyond the first two DSM core criteria, some symptoms are more common in older adults: appetite change, sleep disturbance, psychomotor slowing, difficulty concentrating, indecisiveness, and fatigue.

CONCLUSIONS

This review provides an updated description of the clinical expression of depressive symptoms in the older population while highlighting current pending issues.

CLINICAL IMPLICATIONS

Somatic symptoms should be systematically considered in order to improve the diagnosis of depression in older adults, even if, in some cases, they may reflect symptoms of age-related illnesses.

Comparisons Between Young, Middle-Aged, and Older Adult Sexual and Gender Minority Male Sexual Assault Survivors

OBJECTIVE

This study compared sexual abuse histories and depressive symptoms between younger, middle-aged, and older sexual and gender minority (SGM) male survivors.

DESIGN

Participants completed a brief, online screener as part of a large comparative effectiveness psychotherapy trial.

SETTING

SGM males 18 years or older, residing in the U.S. or Canada, were recruited online.

PARTICIPANTS

This study included younger (aged 18-39; n = 1,435), middle-aged (aged 40-59; n = 546), and older (aged 60+; n = 40) SGM men who reported a history of sexual abuse/assault.

MEASUREMENTS

Participants were asked about their sexual abuse history, experience of other traumas, symptoms of depression, and past 60-day mental health treatment engagement.

RESULTS

Older SGM men reported a lower rate of occurrence of adult sexual assault, exposure to other traumas, and depression. However, older and younger groups did not differ on any childhood sexual assault variable, the frequency of or number of attackers for adult sexual assault, the frequency of accidents and other injury traumas, or the occurrence or frequency of mental health treatment. Trauma load, including childhood and adult sexual assault, were more strongly related to current depressive symptoms than age group.

CONCLUSION

While there were some age-based or cohort differences in the rates of sexual trauma, the clinical response of both groups was similar. Implications for working clinically with middle-aged and older SGM men with untreated sexual assault-related mental health difficulties are discussed, including outreach and availability of gender- and older-inclusive survivor treatment and resources.

Late life depression and concepts of aging: an emerging paradigm

Late life depression (LLD) is an emerging challenge, and recognized as a significant barrier to long-term healthy aging. Viewed within the context of the medical/biological model, advances in brain sciences over the last several decades have led to a deeper understanding of the biology of LLD. These advances in current knowledge include the description of aging brain pathophysiology; the biology and biochemistry of neurotransmitters; the correspondence between changes in neurological structure, function, and neural network; the description of neural, hormonal and inflammatory biomarkers; and identification of typical phenotypic subtypes of LLD. Despite these advances, current treatment of LLD, which remains largely pharmacological with accompanying cognitive and behavioral interventions, has poor success rate for long-term remission among older people. A wider perspective, in keeping with several emerging aging concepts, is suggested as an alternative framework within which to view LLD. A growing body of research supports the important role in LLD of frailty, resilience, intrinsic capacity, and functional integrity. Similarly, important social determinants need to be addressed in the etiology of LLD, rooted largely in negative stereotypes of aging, with consequent repercussions of reduced participation and inclusion, growing social isolation, with loss of identity, meaning and hope. This perspective suggests the importance of a wider integrative conceptualization of depression, set against a background of emerging aging concepts.

The mental health impact of the COVID-19 pandemic and exposure to other potentially traumatic events up to old age

We investigated whether the impact of potentially traumatic events (PTEs) on trauma-related symptoms changes across the transitional adult lifespan (i.e., 16-100 years old) and if this association differs for self-reported COVID-19-related PTEs compared to other PTEs. A web-based cross-sectional study was conducted among 7,034 participants from 88 countries between late April and October 2020. Participants completed the Global Psychotrauma Screen (GPS), a self-report questionnaire assessing trauma-related symptoms. Data were analyzed using linear and logistic regression analyses and general linear models. We found that older age was associated with lower GPS total symptom scores, B = -0.02, p < .001; this association remained significant but was substantially weaker for self-reported COVID-19-related PTEs compared to other PTEs, B = 0.02, p = .009. The results suggest an association between older age and lower ratings of trauma-related symptoms on the GPS, indicating a blunted symptom presentation. This age-related trend was smaller for self-reported COVID-19-related PTEs compared to other PTEs, reflecting the relatively higher impact of the COVID-19 pandemic on older adults.

Introduction to the Special Issue: Toward a Lifespan Prevention Science - A Focus on Middle and Late Adulthood

The interdisciplinary field of prevention science was founded on the premise of a lifespan developmental model. Prevention scientists have developed a strong set of tools and intervention technologies for understanding and potentially modifying risk and protective factors through early adulthood. However, there is a demographic imperative to apply prevention science principles to health issues in middle and late adulthood. The articles in this special issue utilize a variety of methods to investigate important scientific questions about how theories, methodologies, and interventions applied in the science of prevention can be usefully integrated into the study of health and wellness in middle and late adulthood. More specifically, contributions (1) highlight current empirical research that draws on lifespan developmental science to address the unique prevention and intervention needs in middle and late adulthood, (2) illustrate the opportunities and challenges of a lifespan approach to prevention science with special attention to middle and late adulthood, and (3) identify additional areas that prevention science can contribute to advancements in middle and late adulthood. These articles provide a glimpse into the challenges and opportunities at the intersection of prevention science and gerontology. As a field, we have much room to grow in leveraging innovative tools, approaches, and efforts to best support older adults' physical, mental, and social health, particularly for diverse and under-served populations.

Trajectories of depressive symptoms and their predictors in Chinese older population: Growth Mixture model

BACKGROUND

Given the rapidly rising proportion of the older population in China and the relatively high prevalence of depressive symptoms among this population, this study aimed to identify the trajectories of depressive symptoms and the factors associated with the trajectory class to gain a better understanding of the long-term course of depressive symptoms in this population.

METHODS

Data were obtained from four wave's survey of the China Health and Retirement Longitudinal Study (CHARLS). A total of 3646 participants who aged 60 years or older during baseline survey, and completed all follow-ups were retained in this study. Depressive symptoms were measured using the 10-item version of the Center for Epidemiologic Studies Depression Scale (CES-D-10). Growth mixture modelling (GMM) was adopted to identify the trajectory classes of depressive symptoms, and both linear and quadratic functions were considered. A multivariate logistic regression model was used to calculate the adjusted odds ratios (ORs) of the associated factors to predict the trajectory class of participants.

RESULTS

A four-class quadratic function model was the best-fitting model for the trajectories of depressive symptoms in the older Chinese population. The four trajectories were labelled as increasing (16.70%), decreasing (12.31%), high and stable (7.30%), and low and stable (63.69%), according to their trends. Except for the low and stable trajectory, the other trajectories were almost above the threshold for depressive symptoms. The multivariate logistic regression model suggested that the trajectories of chronic depressive symptoms could be predicted by being female, living in a village (rural area), having a lower educational level, and having chronic diseases.

CONCLUSIONS

This study identified four depressive symptom trajectories in the older Chinese population and analysed the factors associated with the trajectory class. These findings can provide references for prevention and intervention to reduce the chronic course of depressive symptoms in the older Chinese population.

Mental health diagnosis attenuates weight loss among older adults in a digital diabetes prevention program

Objective

Diabetes Prevention Programs (DPP) are effective at reducing diabetes incidence via clinically significant weight loss. Co-morbid mental health condition(s) may reduce the effect of DPP administered in-person and telephonically but this has not been assessed for digital DPP. This report examines the moderating effect of mental health diagnosis on weight change among individuals who enrolled in digital DPP (enrollees) at 12 and 24 months.

Methods

Secondary analysis of prospective, electronic health record data from a study of digital DPP among adults (N = 3904) aged 65-75 with prediabetes (HbA1c 5.7%-6.4%) and obesity (BMI ≥30 kg/m2).

Results

Mental health diagnosis only moderated the effect of digital DPP on weight change during the first 7 months (p = 0.003) and the effect attenuated at 12 and 24 months. Results were unchanged after adjusting for psychotropic medication use. Among those without a mental health diagnosis, digital DPP enrollees lost more weight than non-enrollees: -4.17 kg (95% CI, -5.22 to -3.13) at 12 months and -1.88 kg (95% CI, -3.00 to -0.76) at 24 months, whereas among individuals with a mental health diagnosis, there was no difference in weight loss between enrollees and non-enrollees at 12 and 24 months (-1.25 kg [95% CI, -2.77 to 0.26] and 0.02 kg [95% CI, -1.69-1.73], respectively).

Conclusions

Digital DPP appears less effective for weight loss among individuals with a mental health condition, similar to prior findings for in-person and telephonic modalities. Findings suggest a need for tailoring DPP to address mental health conditions.

Hypothetical interventions on risk factors for depression among middle-aged and older community-dwellers in China: An application of the parametric g-formula in a longitudinal study

BACKGROUND

Sleep disturbances, frailty, and body pain are widespread in middle-aged and older adults with depression, and have been identified as depression risk factors. However, there is a scarcity of research on the benefits of sleep improvement, frailty amelioration, and pain management on incident depression.

METHODS

A total of 8895 respondents aged above 45 years were derived from the China Health and Retirement Longitudinal Study (CHARLS) between 2011 and 2018. The parametric g-formula was used to estimate the 7-year risks of depression under independent hypothetical interventions on nighttime sleep duration (NSD), daytime napping duration (DND), perceived sleep quality (PSQ), frailty, and pain, as well as their various combinations.

RESULTS

The observed depression risk was 41.77 %. The independent intervention on frailty was the most effective in lowering incident depression, with a risk ratio (RR) of 0.61 (95 % CI: 0.57-0.64), followed by PSQ (RR: 0.75, 95 % CI: 0.73-0.78), pain (RR: 0.90, 95 % CI: 0.87-0.91), and NSD (RR: 0.96, 95 % CI: 0.93-0.98). In subgroup analysis, intervention on NSD was more effective in men, PSQ was more effective in middle-aged individuals, and frailty and pain were more effective in older persons. The combined intervention of NSD, PSQ, frailty, and pain lowered the risk the greatest (RR: 0.35, 95 % CI: 0.32-0.37).

LIMITATIONS

Generalizing our results to other populations should be possible if they have the same distribution of effect modifiers and interference patterns because of the calculation principle of the parametric g-formula.

CONCLUSIONS

Interventions for sleep disturbances, frailty, and body pain can minimize the risk of depression.

Prevalence of depression and anxiety in older people in low- and middle- income countries in Africa, Asia and South America: A systematic review and meta-analysis

BACKGROUND

There is rapid growth of older people in Low- and Middle- Income Countries (LMICs). The aim of this review was to assess the literature on prevalence of anxiety and depression in this demographic, which to our knowledge, has not yet been conducted.

METHODS

Databases including Medline, PsychInfo, Embase, Scielo and African Journals Online were searched for terms including "mental disorders", "neurotic disorders", "mood disorders" and "anxiety disorders". Studies published between 1990 and 2020 providing data on older people (≥50 years) in LMICs (defined by World Bank Criteria) were included and quality-assessed. Meta-analysis was conducted on a subset of higher-quality studies to derive pooled prevalence estimates of depression.

RESULTS

One hundred and forty relevant studies were identified, of which thirty-two were included in meta-analysis. One hundred and fifteen studies reported depression prevalence only, 19 reported both depression and anxiety, and six reported anxiety only. In all studies identified, depression prevalence ranged from 0.5 % to 62.7 %, and Generalised Anxiety Disorder prevalence ranged from 0.2 % to 32.2 %. The pooled prevalence of depression on meta-analysis was 10.5 % (95 % CI, 8.9 % - 11.2 %). Reported prevalence rates of depression were significantly different in studies using ICD-10 compared with DSM criteria, and between community and clinical settings.

LIMITATIONS

The search strategy contained bias towards English language papers and high income country (HIC) publications. There is significant heterogeneity within the meta-analysis.

DISCUSSION

A wide range of methodologies and clinical criteria are used in prevalence studies of depression and anxiety in older people. Studies using screening tools found higher prevalence rates; clinicians and researchers should ensure diagnosis is made with gold-standard clinical criteria. Meta-analysis data suggest that rates of depression are similar in older people in LMICs compared to HICs but mental healthcare resources are limited, suggesting a large potential treatment gap.

Generational and Social Forces in the Life Events and Experiences of Lesbian and Gay Midlife and Older Adults Across the Iridescent Life Course

ObjectivesUtilizing Iridescent Life Course, we examine life events among three generations of lesbian and gay adults: Invisible (born 1920-1934), Silenced (born 1935-1949), and Pride (born 1950-1964) Generations. Methods: We utilized a subsample (n = 2079) from the 2014 wave of Aging with Pride: National Health, Aging, and Sexuality/Gender Study (NHAS). Demographic characteristics, life events, and gender and generational interactions were compared. Results: Compared to other generations, the Invisible Generation disclosed their identity at older ages, were more likely to be retired, served in the military, and survived a partner's death. Compared to the other generations, the Pride Generation was more likely to have disclosed their identities earlier and experienced higher levels of victimization/discrimination. Discussion: This paper is the first to examine the lived experiences of the oldest lesbians and gay men and compare them to other generations. The findings illustrate the heteronormative nature of most life course research.

Geriatric Depression

Late-life depression is common but underrecognized and undertreated leading to significant morbidity and mortality, including from suicide. The presence of comorbidities necessitates screening followed by a careful history in order to make the diagnosis of depression. Because older adults tend to take longer to respond to treatment and have higher relapse rates than younger patients, they benefit most from persistent, attentive therapy. Although both pharmacotherapy and psychosocial treatments, or a combination of the two, are considered as the first-line therapy for late-life depression, most data support a combined, biopsychosocial treatment approach provided by an interdisciplinary team.

Late-life depression and multimorbidity trajectories: the role of symptom complexity and severity

INTRODUCTION

as late-life depression is associated with poor somatic health, we aimed to investigate the role of depression severity and symptom phenotypes in the progression of somatic multimorbidity.

METHODS

we analysed data from 3,042 dementia-free individuals (60+) participating in the population-based Swedish National Study on Aging and Care in Kungsholmen. Using the baseline clinical assessment of 21 depressive symptoms from the Comprehensive Psychopathological Rating Scale, we: (i) diagnosed major, minor (in accordance with DSM-IV-TR) and subsyndromal depression; (ii) extracted symptom phenotypes by applying exploratory network graph analysis. Somatic multimorbidity was measured as the number of co-occurring chronic diseases over a 15-year follow-up. Linear mixed models were used to explore somatic multimorbidity trajectories in relation to baseline depression diagnoses and symptom phenotypes, while accounting for sociodemographic and behavioural factors.

RESULTS

in multi-adjusted models, relative to individuals without depression, those with major (β per year: 0.33, 95% confidence interval [CI]: 0.06-0.61) and subsyndromal depression (β per year: 0.21, 95%CI: 0.12-0.30) experienced an accelerated rate of somatic multimorbidity accumulation, whereas those with minor depression did not. We identified affective, anxiety, cognitive, and psychomotor symptom phenotypes from the network analysis. When modelled separately, an increase in symptom score for each phenotype was associated with faster multimorbidity accumulation, although only the cognitive phenotype retained its association in a mutually adjusted model (β per year: 0.07, 95%CI: 0.03-0.10).

CONCLUSIONS

late-life major and subsyndromal depression are associated with accelerated somatic multimorbidity. Depressive symptoms characterised by a cognitive phenotype are linked to somatic health change in old age.

Late-life depression: Epidemiology, phenotype, pathogenesis and treatment before and during the COVID-19 pandemic

Late-life depression (LLD) is one of the most common mental disorders among the older adults. Population aging, social stress, and the COVID-19 pandemic have significantly affected the emotional health of older adults, resulting in a worldwide prevalence of LLD. The clinical phenotypes between LLD and adult depression differ in terms of symptoms, comorbid physical diseases, and coexisting cognitive impairments. Many pathological factors such as the imbalance of neurotransmitters, a decrease in neurotrophic factors, an increase in β-amyloid production, dysregulation of the hypothalamic-pituitary-adrenal axis, and changes in the gut microbiota, are allegedly associated with the onset of LLD. However, the exact pathogenic mechanism underlying LLD remains unclear. Traditional selective serotonin reuptake inhibitor therapy results in poor responsiveness and side effects during LLD treatment. Neuromodulation therapies and complementary and integrative therapies have been proven safe and effective for the treatment of LLD. Importantly, during the COVID-19 pandemic, modern digital health intervention technologies, including socially assistive robots and app-based interventions, have proven to be advantageous in providing personal services to patients with LLD.

Application of interpersonal psychotherapy for late-life depression in China: A case report

Objectives

Interpersonal psychotherapy (IPT) is an effective treatment for late-life depression, but little is known about its acceptability and efficacy in Chinese patients. This case report describes the use of IPT in a depressed elderly Chinese man.

Methods

The patient was a 79-year-old widower who lives alone in a large city in China. This was his first contact with a mental health specialist. His wife died one ago, and his only child lives in the United States with her husband and children. Due to the COVID-19 pandemic, his daughter could not visit him, and his usual social interactions decreased, leaving him feeling isolated, lonely, and depressed. He was diagnosed with a major depressive episode and initially prescribed venlafaxine. However, he failed to show an adequate response to medication and the side effects were intolerable. He was switched to a low dose of Duloxetine (60 mg) combined with IPT.

Results

The patient's baseline score on the 17-item Hamilton depression rating scale (HAM-D) was 29, suggesting severe levels of depression. He received 12 sessions of IPT. Role transition was the focus of therapy. Although the patient expressed discomfort in therapy, he developed a good rapport with the therapist and was compliant with treatment. Clinical recovery was achieved at the end of acute IPT treatment (HAM-D score = 1).

Conclusion

Response to IPT was excellent in this elderly patient, but several points should be noted. First, mental health-related stigma in China can affect treatment engagement. Second, older Chinese are reluctant to speak openly about their personal experiences and feelings. Hence, repeated emphasis on the principles of confidentiality in psychotherapy and forming a strong therapeutic alliance are important. Third, the "empty-nest" household is an emergent phenomenon in China. Helping elderly Chinese navigate changes in traditional Chinese living arrangements and negotiate filial piety with offspring who have moved away are important issues to address in therapy.

Education Moderates the Association between Depressive Symptoms and Self-Rated Health among Older Adults with Cancer

This study examined the association between depressive symptoms and self-rated health (SRH) and whether and how such association varies by education among older adults with cancer. Data came from the 2019 National Health Interview Survey. A total of 2,470 participants aged 65 or older who had been diagnosed with cancer by a doctor or other health professional were included in this study. Ordinal logistic regression was used to examine the association between depressive symptoms and SRH and whether and how such association varies by education among older adults with cancer. More depressive symptoms were associated with worse SRH. Such association became stronger with higher education among older adults with cancer. Findings confirm the associations between depressive symptoms and SRH among older adults with cancer. The differential impact of education on SRH and on the association between depressive symptoms and SRH highlights the importance of considering patients' educational attainment in a more comprehensive way when working with older adults with cancer. When conducting distress screening among cancer survivors, oncology social workers should be aware of the complex relationship between education and depression in relation to cancer survivors' SRH.

Internet Use as a Moderator of the Relationship between Age and Depression: Implications for Older Adults

Technology-based interventions have been suggested to prevent depression and loneliness. However, it is not yet well-established if internet use is a protective factor for older adults, allowing them to combat depression and loneliness. Addressing this neglected area of research, this paper examines whether frequent internet use moderated the relationship between depression and age. Using 2016 General Social Survey ( n = 869), a series of ordinary least squares regression models were employed. The findings revealed that older adults who frequently used the internet were more depressed than those who did not. This may imply that internet use by older individuals may not be an adequate source of social engagement and may even heighten existing levels of depression. Other interventions may need to be developed to compensate for the loss of physical contact and reduce the level of depression.

Incident and Recurrent Depression among Adults Aged 50 Years and Older during the COVID-19 Pandemic: A Longitudinal Analysis of the Canadian Longitudinal Study on Aging

The COVID-19 pandemic and accompanying public health measures have exacerbated many risk factors for depression in older adulthood. The objectives of the current study are: (1) to determine the risk of incident and recurrent depression during the COVID-19 pandemic among those with, or without, a history of depression; and (2) to identify factors that were predictive of depression in these two groups. The study population included 22,622 participants of the Canadian Longitudinal Study on Aging who provided data at baseline (2011-2015), follow-up (2015-2018), and twice during the pandemic (April-May 2020, September-December 2020). The Center for Epidemiologic Studies Depression Scale (CES-D-10) was used to classify individuals with depression. Logistic regression was used to estimate the odds of depression during COVID across a series of risk factors. Individuals with a history of depression had four times the risk of depression during the pandemic when compared to those without a history of depression, even after controlling for relevant covariates. Other factors associated with depression during the pandemic include being female, having fewer savings, and experiencing COVID-19 related stressors, such as health stressors, difficulties accessing resources, and family conflict. Clinicians working with older adults should consider interventions to support high-risk groups, such as those with recurrent depression.

Feasibility of Digital Cognitive Behavioral Therapy for Depressed Older Adults With the Moodbuster Platform: Protocol for 2 Pilot Feasibility Studies

Background

Internet-based interventions can be effective in the treatment of depression. However, internet-based interventions for older adults with depression are scarce, and little is known about their feasibility and effectiveness.

Objective

To present the design of 2 studies aiming to assess the feasibility of internet-based cognitive behavioral treatment for older adults with depression. We will assess the feasibility of an online, guided version of the Moodbuster platform among depressed older adults from the general population as well as the feasibility of a blended format (combining integrated face-to-face sessions and internet-based modules) in a specialized mental health care outpatient clinic.

Methods

A single-group, pretest-posttest design will be applied in both settings. The primary outcome of the studies will be feasibility in terms of (1) acceptance and satisfaction (measured with the Client Satisfaction Questionnaire-8), (2) usability (measured with the System Usability Scale), and (3) engagement (measured with the Twente Engagement with eHealth Technologies Scale). Secondary outcomes include (1) the severity of depressive symptoms (measured with the 8-item Patient Health Questionnaire depression scale), (2) participant and therapist experience with the digital technology (measured with qualitative interviews), (3) the working alliance between patients and practitioners (from both perspectives; measured with the Working Alliance Inventory–Short Revised questionnaire), (4) the technical alliance between patients and the platform (measured with the Working Alliance Inventory for Online Interventions–Short Form questionnaire), and (5) uptake, in terms of attempted and completed modules. A total of 30 older adults with mild to moderate depressive symptoms (Geriatric Depression Scale 15 score between 5 and 11) will be recruited from the general population. A total of 15 older adults with moderate to severe depressive symptoms (Geriatric Depression Scale 15 score between 8 and 15) will be recruited from a specialized mental health care outpatient clinic. A mixed methods approach combining quantitative and qualitative analyses will be adopted. Both the primary and secondary outcomes will be further explored with individual semistructured interviews and synthesized descriptively. Descriptive statistics (reported as means and SDs) will be used to examine the primary and secondary outcome measures. Within-group depression severity will be analyzed using a 2-tailed, paired-sample t test to investigate differences between time points. The interviews will be recorded and analyzed using thematic analysis.

Results

The studies were funded in October 2019. Recruitment started in September 2022.

Conclusions

The results of these pilot studies will show whether this platform is feasible for use by the older adult population in a blended, guided format in the 2 settings and will represent the first exploration of the size of the effect of Moodbuster in terms of decreased depressive symptoms.

International Registered Report Identifier (IRRID)

PRR1-10.2196/41445

The Effect of Depressive and Insomnia Symptoms in Quality of Life among Community-Dwelling Older Adults

The purpose of this study was to investigate the effects of depressive symptoms, insomnia symptoms, and comorbid depressive and insomnia symptoms on the quality of life among community-dwelling older adults in an urban area of central Greece. A cross-sectional study was conducted on 200 older adults (aged ≥ 60) collected from five Open Care Centers for Elderly People of the Municipality of Larissa, Greece. Data were obtained through a questionnaire that included demographic, socioeconomic, and health-related characteristics; the World Health Organization Quality of Life (WHOQoL)-Bref questionnaire; the Geriatric Depression Scale; and the Athens Insomnia Scale. The prevalences of depression, insomnia, and comorbid depression and insomnia were 28% (95% confidence interval (95% CI): 21.8-34.2%), 40.5% (95% CI: 33.7-47.3%), and 19% (95% CI: 13.5-24.5%), respectively. The mean WHOQoL-Bref score for all domains was approximately 14.50, with the highest mean value observed for psychological health (14.79 ± 2.60), followed by the physical health (14.49 ± 2.66), social relationships (14.39 ± 2.03), and environmental domains (14.32 ± 1.90). All WHOQoL-Bref domains were negatively correlated with depression and insomnia. Older adults with depressive symptoms, insomnia symptoms, and comorbid depressive and insomnia symptoms had lower scores in all quality of life dimensions compared with those without.

Congregational health needs by key demographic variables: Findings from a congregational health needs assessment tool

Health needs assessments identify important issues to be addressed and assist organizations in prioritizing resources. Using data from the Mid-South Congregational Health Survey, top health needs (physical, mental, social determinants of health) were identified, and differences in needs by key demographic variables (age, sex, race/ethnicity, education) were examined. Church leaders and members (N = 828) from 92 churches reported anxiety/depression (65 %), hypertension/stroke (65 %), stress (62 %), affordable healthcare (60 %), and overweight/obesity (58 %) as the top health needs in their congregations. Compared to individuals < 55 years old and with a college degree, individuals ≥ 55 years old (ORrange=1.50-1.86) and with ≤ high school degree (ORrange=1.55-1.91) were more likely to report mental health needs (anxiety/depression; stress). African Americans were less likely to report physical health needs (hypertension/stroke; overweight/obesity) than individuals categorized as Another race/ethnicity (ORrange=0.38-0.60). Individuals with ≤ high school degree were more likely to report affordable healthcare as a need compared to individuals with some college or a college degree (ORrange=1.58). This research highlights the need for evaluators and planners to design programs that are comprehensive in their approach to addressing the health needs of congregations while also considering demographic variation that may impact program participation and engagement.

Perceived neighborhood environment and depressive symptoms among older adults living in Urban China: The mediator role of social capital

An increasing number of studies have focused on the relationship between neighbourhood environment and depressive symptoms among older people. However, the underlying mechanisms are still unclear. This study examined the association between neighbourhood environment and depressive symptoms among older urban Chinese adults and the mediator role of social capital in this association. Using a quota sampling approach, 472 respondents aged 60 years or older were recruited from 23 urban communities of Shanghai, China, in 2020. Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale. Social capital was measured by two latent constructs: cognitive social capital (e.g., trust, reciprocity, belongingness) and structural social capital (e.g., memberships, social participation). Perceived physical neighbourhood environment was assessed in terms of health care, security, and public transportation status. Structural equation modelling was conducted to test the study hypotheses. Health care services in the community had a direct effect on depressive symptoms (β = -0.097, p < .05). Cognitive social capital played a mediator role in the relationship between physical neighbourhood environment and depressive symptoms (community health care: β = -0.124, p < .01; community security: β = -0.284, p < .01). The mediator effect of structural social capital in the relationship between physical neighbourhood environment and depressive symptoms was not significant. The findings highlight the role of physical neighbourhood environment in fostering community-based social capital and promoting mental health among older adults in urban China. Policy strategies could focus on improving community health care and security to promote mental health.

Predicting Medication Nonadherence in Older Adults With Difficult-to-Treat Depression in the IRL-GRey Randomized Controlled Trial

OBJECTIVE

Nonadherence to antidepressants interferes with optimal treatment of late-life depression. This analysis examines clinical and treatment factors predicting medication nonadherence in difficult-to-treat late-life depression.

METHODS

Secondary analysis of data from a clinical trial of antidepressant pharmacotherapy for Major Depressive Disorder in 468 adults aged 60+ years. All participants received venlafaxine XR for 12 weeks. Nonremitters were randomized to augmentation with either aripiprazole or placebo for 12 additional weeks. Medication adherence was assessed 14 times over 24 weeks. The analyses examined sociodemographic, clinical, and treatment factors that may predict antidepressant nonadherence during early (weeks 1-6), late (weeks 7-12), and augmentation (weeks 13--24) treatment.

RESULTS

Poor cognitive function and early response were predictive of early nonadherence. Poor cognitive function and prior nonadherence were predictive of late nonadherence. Living alone was associated with nonadherence both late and during augmentation treatment.

CONCLUSION

Future studies should consider the role of early response and cognitive function to improve antidepressant adherence, particularly among older adults who live alone.

Factors Associated With High Rates of Depressive Symptomatology in Older People in Vietnam

OBJECTIVES

This study aimed to identify the prevalence and correlates of depressive symptomatology among Vietnamese older people.

METHOD

We used baseline survey data collected in 2018 from the Longitudinal Study of Ageing and Health in Vietnam (LSAHV) conducted across seven regions and comprising 6,050 people aged 60 years and over of whom 4962 completed the brief 11-item Center for Epidemiological Studies-Depression (CES-D) scale. Clinically significant depressive symptomatology was a CES-D score of 8.8 or higher. The association between demographic, physical, and mental factors with depressive symptomatology was examined using univariate and multivariable logistic regression.

RESULTS

The prevalence of depressive symptomatology was 31.3% (95% CI 29.8% - 32.9%). Depressive symptomatology was highest among people living in the Central Coast region (46.8%, 95% CI 44.5% - 49.2%). Factors associated with depressive symptomatology from the multivariable model included female sex (OR 1.3, 95% CI: 1.1-1.6), rural residence (OR 1.4, 95%CI: 1.1-1.7), not having a partner (OR 1.6, 95% CI: 1.3-1.9), low income (OR 1.8, 95% CI: 1.5-2.1), and health-limitations on activities (OR 1.3, 95% CI: 1.1-1.6). Poorer self-rated mental health (OR 2.1, 95% CI:1.8-2.5) or general health status (OR 1.5, 95% CI: 1.3-1.9) was associated with a higher prevalence of depressive symptomatology, as was poorer function with respect to different activities of daily living, and dissatisfaction with current life (OR 6.1, 95% CI: 4.4-8.4).

CONCLUSIONS

Depressive symptomatology was frequent among older Vietnamese. Efforts to improve mental health in older persons in Vietnam, including prevention, early intervention and better medical care, appear warranted.

Gender differences and determinants of late-life depression in China: A cross-sectional study based on CHARLS

BACKGROUND

Literature related to within-gender differences in depression among older individuals in China is sparse, and often limited to specific provinces.

METHODS

We analyzed data on 8104 participants from the fourth waves of the China Health and Retirement Longitudinal Study (CHARLS). Using logistic regressions, we identified the correlates of depressive symptoms among older individuals, both in the aggregate and along gender lines. Additionally, we examined the interaction between other covariates and gender.

RESULTS

The prevalence of late-life depression symptoms among females was 45.79%, which was higher than among males (31.13%, P < 0.01). Living in a rural area, earned income, education level, tobacco use and number of chronic diseases were correlated with depression in both genders (P < 0.05), with no interaction (P_int > 0.050). Social activities were correlated with depression in males but not in females (P_int = 0.373), inverse in their 70s (P_int = 0.020) group. The correlation between daily sleep duration and depression is stronger in females than in males (P_int ≤ 0.020). Female who drunk <1 per month decreased their prevalence of depression, but it increased in males (P_int = 0.001). Taking part in LTPA and being a religious believer were correlated with depression in females (P < 0.05), but not in males (P_(LTPA)int = 0.009; P_{(religious believers)int} = 0.033).

LIMITATIONS

Since only analyzed one wave of data, we could not conclude that there was causation.

CONCLUSIONS

Geriatric depression is a serious mental health issue in China. There is, an urgent need for prevention and intervention activities for older individuals, and these needs diverge along gender lines.

A link between age, affect, and predictions?

The prevalence of depressive symptoms decreases from late adolescence to middle age adulthood. Furthermore, despite significant losses in motor and cognitive functioning, overall emotional well-being tends to increase with age, and a bias to positive information has been observed multiple times. Several causes have been discussed for this age-related development, such as improvement in emotion regulation, less regret, and higher socioeconomic status. Here, we explore a further explanation. Our minds host mental models that generate predictions about forthcoming events to successfully interact with our physical and social environment. To keep these models faithful, the difference between the predicted and the actual event, that is, the prediction error, is computed. We argue that prediction errors are attenuated in the middle age and older mind, which, in turn, may translate to less negative affect, lower susceptibility to affective disorders, and possibly, to a bias to positive information. Our proposal is primarily linked to perceptual inferences, but may hold as well for higher-level, cognitive, and emotional forms of error processing.