The Forgotten Psychopathology of Depressed Long-Term Care Facility Residents: A Call for Evidence-Based Practice

Improving the Transition of Older Adults into Residential Aged Care: A Scoping Review

OBJECTIVES

The transition into residential aged care (RAC) is often associated with loss, grief, isolation and loneliness. This scoping review aimed to identify quantitative research which focused on reducing the negative effects associated with transition, thereby improving the transition experience.

METHODS

A scoping review, which concentrated on quantitative research, was conducted. MEDLINE, CINAHL andPSYCHINFO databases were searched using the initial search terms "olderadults", "residential aged care" and "transition".

RESULTS

From the 457 original citations identified, four met the inclusion criteria. The interventions used a range of professionals and clinicians, diverse content, and a mixture of outcomes. The content of the more successful studies were underpinned by mental wellness themes and helped to reduce depressive symptoms among new residents.

CONCLUSIONS

Our review provides a summary of interventions aimed at improving the transition experience for older adults moving into RAC and highlights gaps in the literature. This review is limited by the paucity of quantitative research in this area. Further research is required to address the negative psychosocial effects associated with transition into RAC.

CLINICAL IMPLICATIONS

Assessing which of the transition phases an individual is in can help individualize interventions to reduce negative symptoms relating to transition.

The Effect of Social Robots on Depression and Loneliness for Older Residents in Long-Term Care Facilities: A Meta-Analysis of Randomized Controlled Trials

OBJECTIVES

Depression and loneliness are challenges facing older residents living in long-term care facilities. Social robots might be a solution as nonpharmacologic interventions. The purpose of this study was to explore the effects of concrete forms of social robots on depression and loneliness in older residents in long-term care facilities by a systematic review and meta-analysis of randomized controlled trials.

DESIGN

This is a systematic review and meta-analysis.

SETTING AND PARTICIPANTS

Older residents in long-term care facilities.

METHODS

Six electronic databases of PubMed, Embase, Scopus, Web of Science, MEDLINE, and CINAHL plus were searched in August 2023. Random effect models of meta-analyses, subgroup analyses, and meta-regressions were performed for statistical analyses.

RESULTS

After evaluation, 8 studies were selected for both qualitative and quantitative synthesis. Social robot interventions had significant positive effects on decreasing depression and loneliness with large effect sizes. Group-based robot activities had a better effect on improving depression than individual-based robot activities. Longer durations of interventions produced significantly more improvement in depression.

CONCLUSION AND IMPLICATION

Social robots with physical manifestation provide the opportunity for older adults' social engagement and interactions with robots and others. Social robot interventions are recommended for older residents in long-term care facilities to promote psychosocial well-being in daily care routines.

Efficacy of Internet-Based Cognitive Behavioral Therapy for Subthreshold Depression Among Older Adults in Institutional Long-Term Care Settings: Pragmatic Randomized Controlled Trial

BACKGROUND

Subthreshold depression (sD) is prevalent in older populations in long-term care (LTC) settings, but psychological therapy in LTC settings in China is not readily available. Thus, internet-based cognitive behavioral therapy (ICBT) may be suitable for this population, but research on the efficacy of ICBT for older adults with sD, especially those living in LTC settings, is limited.

OBJECTIVE

This study aimed to evaluate the efficacy and acceptability of ICBT treatment for sD among LTC residents in China. We also examined whether ICBT is as effective as group-based cognitive behavioral therapy (CBT) for treating sD in this population.

METHODS

We conducted a pragmatic randomized controlled trial, which included 18 LTC institutions. A total of 354 participants were randomized to ICBT, group-based CBT, or a waiting list and were followed up for 12 months. The primary outcome was self-reported depressive symptoms on the Center for Epidemiological Studies Depression Scale (CES-D). Secondary outcomes were the scores of the Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder 7-Item (GAD-7), and Geriatric Depression Scale (GDS). A mixed-effects model was used to assess the efficacy of ICBT.

RESULTS

The ICBT group showed a significant improvement in self-reported depressive symptoms, which was maintained at the 12-month follow-up (all P<.001). The ICBT group exhibited a significantly larger reduction in the scores of the CES-D (Cohen d=0.07, 95% CI 0.04-0.09; P=.01), PHQ-9 (d=0.30, 95% CI 0.28-0.33; P<.001), GDS (d=0.10, 95% CI 0.08-0.13; P<.001), and GAD-7 (d=0.19, 95% CI 0.17-0.22; P<.001) compared with a waiting list at postintervention. ICBT had significantly stronger effects than CBT on the PHQ-9 and GAD-7 at postintervention (d=0.15, 95% CI 0.13-0.17; P<.001 and d=0.21, 95% CI 0.19-0.23; P<.001, respectively), 6-month follow-up (d=0.18, 95% CI 0.16-0.21; P<.001 and d=0.18, 95% CI 0.15-0.21; P<.001, respectively), and 12-month follow-up (d=0.15, 95% CI 0.11-0.19; P<.001 and d=0.18, 95% CI 0.14-0.21; P<.001, respectively).

CONCLUSIONS

ICBT is a relatively effective and acceptable intervention for reducing depressive symptoms among Chinese LTC residents with sD. These findings indicate the usefulness of ICBT application for sD in LTC settings.

TRIAL REGISTRATION

Chinese Clinical Trial Registry ChiCTR2000030697; https://www.chictr.org.cn/showproj.aspx?proj=50781.

Associations Between Physical Fitness, Cognitive Function, and Depression in Nursing Homes Residents Between 60-100 Years of Age in South-Western Poland

BACKGROUND Healthy aging depends on physical fitness, cognitive function, and emotional well-being. Reduced physical activity in the elderly impacts daily activities, increasing morbidity risk. Cognitive decline affects learning, attention, and independence. Depression, prevalent among the elderly, correlates with loneliness and affects overall health. Physical fitness positively influences cognitive health and mood. This study examines these associations in Polish nursing homes residents. MATERIAL AND METHODS We assessed 93 people aged 60-100 years living in nursing homes. The Short Physical Performance Battery (SPPB) test was used to assess physical fitness. The Abbreviated Mental Test Score (AMTS) was used to assess cognitive functions. The Geriatric Depression Scale (GDS) was used to assess depression. RESULTS In the SPPB test, the mean score was 4.85 points, indicating moderate limitations. On the AMTS, 55% of subjects had cognitive impairment. On the GDS scale, 44% of respondents had depressive symptoms. Seniors without mood disorders were characterized by faster gait compared to those with suspected depressive disorders (P=0.036). Men performed significantly better in the whole SPPB test (P=0.024) and in the standing up from a chair and gait speed tests (P=0.046, P<0.001) compared to women. We found a negative correlation between the AMTS test scores and the SPPB gait test scores and age (P<0.05) and a positive correlation between the SPPB gait test scores and the GDS scores (P<0.05). CONCLUSIONS Older nursing homes' residents in better emotional and cognitive state tended to have faster gait. Men tended to have a higher level of physical fitness compared to women. Older age was associated with worse cognitive state of the examined seniors.

Activities of Daily Living and Depression in Chinese Elderly of Nursing Homes: A Mediation Analysis

Purpose

This study aimed to explore the role of sleep quality as a mediator in the activities of daily living (ADLs) and depression.

Patients and Methods

Participants (N=645; age≥60) were included in six nursing homes in Weifang, Shandong Province, using convenience sampling. Participants completed questionnaires to assess sleep quality, ADLs, and depression. Depression condition was assessed by the Patient Health Questionnaire (PHQ-9), ADLs was assessed by the Barthel Index (BI), and sleep quality was measured by the Pittsburgh Sleep Quality Index (PSQI). Mediation analysis was carried out by SPSS PROCESS.

Results

ADLs (r=0.449, P<0.01) and sleep quality (r=0.450, P<0.01) were found to be positively associated with depression among the elderly. Sleep quality plays a significant mediating role in the influence of ADLs on depression in the elderly in nursing homes (Bootstrap 95% CI [0.076, 0.139]), The pathway from ADLs to sleep quality to depression yielded a medium effect size of 20.23%.

Conclusion

ADLs help to explain how sleep quality partly mediates depression among the elderly in nursing homes. It is therefore recommended that timely detection and efficient interventions should focus on promoting physical function and improving sleep quality among the elderly in nursing homes.

The Course of Depressive Symptoms Over 36 Months in 696 Newly Admitted Nursing Home Residents

OBJECTIVES

To investigate the course of depressive symptoms in newly admitted nursing home (NH) residents and how resident characteristics were associated with the symptoms. To identify groups of residents following the same symptom trajectory.

DESIGN

An observational, multicenter, longitudinal study over 36 months with 7 biannual assessments.

SETTING AND PARTICIPANTS

Representing 47 Norwegian NHs, 696 residents were included at admission to a NH.

METHODS

Depressive symptoms were assessed with the Cornell Scale for Depression in Dementia (CSDD). We selected severity of dementia, functional impairment, physical health, pain, use of antidepressants, age, and sex as covariates. Time trend in CSDD score was assessed by a linear mixed model adjusting for covariates. Next, a growth mixture model was estimated to investigate whether there were groups of residents following distinct trajectories in CSDD scores. We estimated a nominal regression model to assess whether the covariates at admission were associated to group membership.

RESULTS

There was a nonlinear trend in CSDD score. More severe dementia, a lower level of functioning, poorer physical health, more pain, use of antidepressants, and younger age at admission were associated with higher CSDD scores. Growth mixture model identified 4 groups: (1) persistent mild symptoms (32.6%), (2) persistent moderate symptoms (50.8%), (3) increasing symptoms (5.1%), and (4) severe but decreasing symptoms (11.6%). A lower level of functioning, poorer physical health, more pain, use of antidepressants, and younger age at admission were associated with higher odds for belonging to the severe but decreasing symptoms group compared with the persistent mild symptoms group.

CONCLUSIONS AND IMPLICATIONS

Most NH residents were in trajectory groups with persistent mild or moderate depressive symptoms. Residents with more severe dementia, lower levels of functioning, poor physical health, severe pain, younger age at admittance, and who are using antidepressants should be monitored closely and systematically with respect to depression. Taking actions toward a more personalized treatment for depression in NHs is a priority and should be investigated in future studies.

Continuous Neurophysiologic Data Accurately Predict Mood and Energy in the Elderly

The elderly have an elevated risk of clinical depression because of isolation from family and friends and a reticence to report their emotional states. The present study explored whether data from a commercial neuroscience platform could predict low mood and low energy in members of a retirement community. Neurophysiologic data were collected continuously for three weeks at 1Hz and averaged into hourly and daily measures, while mood and energy were captured with self-reports. Two neurophysiologic measures averaged over a day predicted low mood and low energy with 68% and 75% accuracy. Principal components analysis showed that neurologic variables were statistically associated with mood and energy two days in advance. Applying machine learning to hourly data classified low mood and low energy with 99% and 98% accuracy. Two-day lagged hourly neurophysiologic data predicted low mood and low energy with 98% and 96% accuracy. This study demonstrates that continuous measurement of neurophysiologic variables may be an effective way to reduce the incidence of mood disorders in vulnerable people by identifying when interventions are needed.

Progress and Prospects of Research on Public Services in Sports in China: Analysis in the Context of Bibliometric Ecological Civilization and Social Networks

In order to better understand the current situation of Chinese public sports, this paper studies Chinese public sports. According to SATI3.2 statistics, 71 newsletters have published a total of 903 articles, of which 40 newsletters have one article, 19.7% of the newsletters have 2–9 books, and 17 magazines have more than 10 issues. The results show that by measuring data, we can better understand the current state of China's public services. This paper uses the method of bibliometric analysis to sort out and summarize the policies, characteristics, hotspots, and trends of China's public service field under the social network environment. The survey shows that the education sector has paid less for public entertainment in recent years. The research direction is system, equity, government procurement, interest, capital allocation, strategy, and supply chain. This paper highlights that the shortcomings of public sports research in our country: “public sports services” and “public sports services” are not integrated; there are many macrostudies on public service sports but few microstudies; there is no track and field research for special public groups. This paper puts forward research guidance for China's public sports services and, at the same time, strengthens the research on public services of different products of rural sports development, strengthens the research on the intelligence of sports public services, and strengthens the research on the role of public sports. Governments at all levels support and strengthen research on public sports service standards, strengthen research on public sports performance measurement measures, and strengthen public sports balance research.

Psychoactive medication use and risk of suicide in long-term care facility residents

OBJECTIVES

To investigate psychoactive medication use and risk of suicide in long-term care facility (LTCF) residents aged 75 and above. A second aim was to investigate the role of psychiatric and medical conditions in the occurrence of suicide in LTCF residents.

METHODS

A Swedish national register-based cohort study of LTFC residents aged ≥75 years between 1 January 2008 and 31 December 2015, and followed until 31 December 2016 (N = 288,305). Fine and Gray regression models were used to analyse associations with suicide.

RESULTS

The study identified 110 suicides (15.8 per 100,000 person-years). Half of these occurred during the first year of residence. Overall, 54% of those who died by suicide were on hypnotics and 45% were on antidepressants. Adjusted sub-hazard ratio (aSHR) for suicide was decreased in those who were on antidepressants (aSHR 0.64, 95% confidence interval 0.42-0.97), even after the exclusion of residents who had healthcare contacts for dementia or were on anti-dementia drugs. The aSHR for suicide was more than two-fold higher in those who were on hypnotics (2.20, 1.46-3.31). Suicide risk was particularly elevated in those with an episode of self-harm prior to LTCF admittance (15.78, 10.01-24.87). Specialized care for depression was associated with increased risk, while medical morbidity was not.

CONCLUSIONS

A lower risk of suicide in LTCF residents was found in users of antidepressants, while elevated risk was observed in those on hypnotics. Our findings suggest that more can be done to prevent suicide in this setting.