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Work in occupations with higher levels of occupational stress can bring mental health costs. Many older adults worldwide are continuing to work past traditional retirement age, raising the question whether older adults experience depression, anxiety, or burnout at the same or greater levels as younger workers, and whether there are differences by age in these levels over time.
Design/setting/participants:
Longitudinal survey of 1161 currently employed US clergy followed every 6–12 months for up to 66 months.
Measurements:
Depression was measured with the 8-item Patient Health Questionnaire (PHQ-8). Anxiety was measured using the anxiety component of the Hospital Anxiety and Depression Scale (HADS). Burnout symptoms were assessed using the three components of the Maslach Burnout Inventory: emotional exhaustion (EE), depersonalization (DP), and sense of personal accomplishment (PA).
Results:
Older participants had lower scores of depression, anxiety, EE, and DP and higher levels of PA over time compared to younger adults. Levels of EE decreased for older working adults, while not significantly changing over time for those younger. DP symptoms decreased over time among those 55 years or older but increased among those 25–54 years.
Conclusions:
Older working adults may have higher levels of resilience and be able to balance personal life with their occupation as well as may engage in certain behaviors that increase social support and, for clergy, spiritual well-being that may decrease stress in a way that allows these older adults to appear to tolerate working longer without poorer mental health outcomes.
(1) To investigate if gut microbiota can be a predictor of remission in geriatric depression and to identify features of the gut microbiota that is associated with remission. (2) To determine if changes in gut microbiota occur with remission in geriatric depression.
Design:
Secondary analysis of a parent randomized placebo-controlled trial (NCT02466958).
Setting:
Los Angeles, CA, USA (2016-2018)
Participants:
Seventeen subjects with major depressive disorder, over 60 years of age, 41.2% female.
Intervention:
Levomilacipran (LVM) or placebo.
Measurements:
Remission was defined by Hamilton Depression Rating Scale score of 6 or less at 12 weeks. 16S-ribosomal RNA sequencing based fecal microbiota composition and diversity were measured at baseline and 12 weeks. Differences in fecal microbiota were evaluated between remitters and non-remitters as well as between baseline and post-treatment samples. LVM and placebo groups were combined in all the analyses.
Results:
Baseline microbiota showed no community level α-diversity or β-diversity differences between remitters and non-remitters. At the individual taxa level, a random forest classifier created with nine genera from the baseline microbiota was highly accurate in predicting remission (AUC = .857). Of these, baseline enrichment of Faecalibacterium, Agathobacter and Roseburia relative to a reference frame was associated with treatment outcome of remission. Differential abundance analysis revealed significant genus level changes from baseline to post-treatment in remitters, but not in non-remitters.
Conclusions:
This is the first study demonstrating fecal microbiota as a potential predictor of treatment response in geriatric depression. Our findings need to be confirmed in larger prospective studies.
To investigate the presence, nature and direction of the daily temporal association between depressive symptoms, cognitive performance and sleep in older individuals.
Design, setting, participants:
Single-subject study design in eight older adults with cognitive impairments and depressive symptoms.
Measurements:
For 63 consecutive days, depressive symptoms, working memory performance and night-time sleep duration were daily assessed with an electronic diary and actigraphy. The temporal associations of depressive symptoms, working memory and total sleep time were evaluated for each participant separately with time-series analysis (vector autoregressive modeling).
Results:
For seven out of eight participants we found a temporal association between depressive symptoms and/or sleep and/or working memory performance. More depressive symptoms were preceded by longer sleep duration in one person (r = 0.39; p < .001), by longer or shorter sleep duration than usual in one other person (B = 0.49; p < .001), by worse working memory in one person (B = −0.45; p = .007), and by better working memory performance in one other person (B = 0.35; p = .009). Worse working memory performance was preceded by longer sleep duration (r = −.35; p = .005) in one person, by shorter or longer sleep duration in three other persons (B = −0.76; p = .005, B = −0.61; p < .001; B = −0.34; p = .002), and by more depressive symptoms in one person (B = −0.25; p = .009).
Conclusion:
The presence, nature and direction of the temporal associations between depressive symptoms, cognitive performance and sleep differed between individuals. Knowledge of personal temporal associations may be valuable for the development of personalized intervention strategies in order to maintain their health, quality of life, functional outcomes and independence.
To estimate the risks of depressive symptoms for developing frailty, accounting for baseline robust or pre-frailty status.
Design:
An incident cohort study design.
Setting:
Community dwellers aged 55 years and above from urban and rural areas in seven regions in Taiwan.
Participants:
A total of 2,717 participants from the Healthy Aging Longitudinal Study in Taiwan (HALST) were included. Subjects with frailty at baseline were excluded. The average follow-up period was 5.9 years.
Measurements:
Depressive symptoms were measured by the 20-item Center for Epidemiological Studies Depression (CES-D) Scale. Frailty was assessed using the Fried frailty measurement. Participants were stratified by baseline robust or pre-frailty status to reduce the confounding effects of the shared criteria between depressive symptoms and frailty. Overall and stratified survival analyses were conducted to assess risks of developing frailty as a result of baseline depressive symptoms.
Results:
One hundred individuals (3.7%) had depressive symptoms at baseline. Twenty-seven individuals (27.0%) with depressive symptoms developed frailty, whereas only 305 out of the 2,617 participants (11.7%) without depressive symptoms developed frailty during the follow-up period. After adjusting for covariates, depressive symptoms were associated with a 2.6-fold (95% CI 1.6, 4.2) increased hazard of incident frailty. The patterns of increased hazard were also observed when further stratified by baseline robust or pre-frailty status.
Conclusions:
Depressive symptoms increased the risk of developing frailty among the older Asian population. The impact of late-life depressive symptoms on physical health was notable. These findings also replicated results from Western populations. Future policies on geriatric public health need to focus more on treatment and intervention against geriatric depressive symptoms to prevent incident frailty among older population.
Aboriginal and Torres Strait Islander Australians have a relatively high prevalence of multimorbidity requiring treatment with medications. This study examines medication use and anticholinergic burden (ACB) among a cohort of older Aboriginal and Torres Strait Island people.
Method:
This cross-sectional study involving five Aboriginal communities (two in metropolitan Sydney and three on the mid-north coast of New South Wales) used a structured interview process to assess cognition, depression, and activities of daily living for a cohort of older adults (aged 60 years and over). Participants also reported on their health status, medical history, and prescription medications during the interview. ACB was calculated, and its association with adverse health outcomes including cognitive impairment, falls, hospitalization, and depressive symptoms were examined.
Results:
Most participants (95%) were taking at least one regular medication with polypharmacy (≥5 medications) observed in 43% of participants; 12.2% had a significant ACB (≥3) with antidepressants being a major contributor. Anticholinergic medication use was associated with cognitive impairment, recent hospitalization (past 12 months), and depressive symptoms. After controlling for age, sex, and comorbidity, only the presence of depressive symptoms remained significantly associated with the use of anticholinergic medication (odds ratio 2.86; 95% confidence interval 1.48–5.51).
Conclusions:
Clinically significant ACB was common in older Aboriginal Australians and was largely attributable to inappropriate use of tricyclic antidepressants. Greater awareness of medication-related risk factors among both health care professionals and Aboriginal communities can play an important role in improving health and quality of life outcomes.
Emotional intelligence (EI) is a strong predictor of negative mood. Applying emotional skills correctly can help to increase positive emotional states and reduce negative ones. This study aims to implement EI intervention designed to improve clarity, repair EI dimensions and coping strategies, and reduce negative mood in older adults.
Design:
Participants were randomly assigned to the treatment or control group.
Setting:
Participants were evaluated individually before and after the intervention.
Participants:
Participants included 111 healthy older adults; 51 in the treatment group and 60 in the control group.
Intervention:
An EI program was implemented. The program was administered over 10 sessions lasting 90 min each.
Measurements:
EI dimension (attention, clarity, and repair), coping strategies, hopelessness, and mood were assessed.
Results:
Analysis of variance for repeated measures was applied. In the treatment group, scores on clarity and emotional repair increased and attention to emotions decreased; problem-focused coping (problem-solving, positive reappraisal, and seeking social support) showed significant increases, whereas emotion-focused coping (negative self-focused and overt emotional expression) obtained significant decreases; scores on negative mood measures declined significantly.
Conclusions:
An intervention based on EI is effective in older adults. After the EI intervention, the participants showed significant increases in their levels of clarity and emotional repair and intermediate levels of attention. In addition, the intervention was found to influence adaptation results, increasing the use of adaptive coping strategies and decreasing the use of maladaptive strategies, as well as reducing hopelessness and depressive symptoms.