Symptoms In Older Adults Research Articles

Stress, Depression, and Anxiety Symptoms in Older Adults: Temporal Trend and Relationship with COVID-19

Introduction. Although studies have demonstrated the impact of the COVID-19 pandemic on mental health, those correlating COVID-19 statistics with the psychosocial repercussions in older adults are as yet incipient. Objective. Evaluate the screening of stress, depression, and anxiety symptoms in older adults throughout the pandemic and their relationship with the occurrence and severity metrics of COVID-19. Method. An ecological, time-series, web-based survey study was conducted in the population aged 60 and over who use digital media. Data collection was undertaken between July 2020 and January 2021 in eight Brazilian cities and included 2,712 older adults. Results. There was an upward trend in anxiety and depression symptoms in Brasília-DF, and a downward trend in these symptoms in Divinópolis-MG. It was also possible to identify correlations between mental disorder symptom scores and COVID-19 occurrence and severity metrics in two of the cities evaluated. Discussion and conclusion. This study is one of the first to explore the relationship between COVID-19 indicators and mental health variables in older adults, showing that changes in the occurrence and severity metrics of the Novel Coronavirus may be followed by changes in the frequency of mental health problems in this population.

Predicting the severity of mood and neuropsychiatric symptoms from digital biomarkers using wearable physiological data and deep learning

Neuropsychiatric symptoms (NPS) and mood disorders are common in individuals with mild cognitive impairment (MCI) and increase the risk of progression to dementia. Wearable devices collecting physiological and behavioral data can help in remote, passive, and continuous monitoring of moods and NPS, overcoming limitations and inconveniences of current assessment methods. In this longitudinal study, we examined the predictive ability of digital biomarkers based on sensor data from a wrist-worn wearable to determine the severity of NPS and mood disorders on a daily basis in older adults with predominant MCI. In addition to conventional physiological biomarkers, such as heart rate variability and skin conductance levels, we leveraged deep-learning features derived from physiological data using a self-supervised convolutional autoencoder. Models combining common digital biomarkers and deep features predicted depression severity scores with a correlation of r = 0.73 on average, total severity of mood disorder symptoms with r = 0.67, and mild behavioral impairment scores with r = 0.69 in the study population. Our findings demonstrated the potential of physiological biomarkers collected from wearables and deep learning methods to be used for the continuous and unobtrusive assessments of mental health symptoms in older adults, including those with MCI. Trial registrationThis trial was registered with ClinicalTrials.gov (NCT05059353) on September 28, 2021, titled “Effectiveness and Safety of a Digitally Based Multidomain Intervention for Mild Cognitive Impairment”.

The effect of education level on depressive symptoms in Chinese older adults–parallel mediating effects of economic security level and subjective memory ability

BackgroundDepression in older adults needs urgent attention. Increased education level may reduce depressive symptoms in older adults, and that economic security level and subjective memory ability may also have an impact on depressive symptoms in older adults, but the mechanisms between education level and depressive symptoms in older adults are unclear. This study endeavors to investigate the parallel mediating roles of economic security level and subjective memory ability between education level and depressive symptoms in older adults.MethodsA total of 4325 older adults people aged 60 years and above were selected from the China Family Panel Studies (CFPS) as the study population, and all data were analyzed using SPSS 25.0 software. Spearman correlation analysis was used to explore the correlation between the variables. Model 4 from the SPSS macro was used to assess the parallel mediating role of economic security level and subjective memory ability in the relationship between education level and depressive symptoms in older adults.ResultsEducation level, economic security level, and subjective memory ability were significantly associated with depressive symptoms in older adults (p < 0.01). Educational level was a negative predictor of depressive symptoms (β=-0.134, P < 0.001). Education level was a positive predictor of economic security level (β = 0.467, P < 0.001) and subjective memory ability (β = 0.224, P < 0.001). Education level, economic security level, and subjective memory ability were significant negative predictors of depressive symptoms (β= -0.039, P < 0.05; β= -0.122, P < 0.001; β= -0.169, P < 0.001). Education level influenced depressive symptoms through parallel mediating effects of economic security level and subjective memory ability, with mediating effects accounting for 42.70% and 28.30% of the total effect, respectively.ConclusionsEducation level not only directly influences depressive symptoms in older adults, but also indirectly through the economic security level and subjective memory ability. Educational level can reduce depressive symptoms in older adults by increasing their economic security level and enhancing their subjective memory ability. The findings of this study emphasize the importance of improving the educational level of the population as it affects people’s mental health in old age.

Motivational Barriers and Facilitators for Older Adults' Engagement in Exercise during Depressive Episodes: A Network Meta-Analysis of Randomized Controlled Trials.

This study aims to assess the motivational factors influencing the participation of older adults in various exercise interventions during depressive episodes and to identify which types of exercise are most effective in alleviating depressive symptoms in this population. Therefore, randomized controlled trials (RCTs) focusing on exercise interventions and their impact on depression in older adult patients, identified by the terms "exercise" AND "depression" AND "elderly" OR "geriatric", were selected from primary electronic databases to conduct this network meta-analysis (NMA). The primary outcome was the effect on depressive symptoms, while the secondary outcome was the comparison of dropout rates between the intervention groups and the usual care control groups, as a measure of sustained motivation and engagement. Standardized mean difference (SMD) values and the corresponding 95% confidence intervals (CIs) were computed for effect evaluation. This study protocol has been registered in IPLASY (INPLASY 202460035). The results of 31 RCTs with 3238 participants indicated that qigong (SMD -1.17, -2.28 to -0.06), Otago Exercise (SMD -1.15, -2.29 to -0.01), and yoga (SMD -0.88, -1.55 to -0.21) significantly alleviate depressive symptoms in older adults. Walking (SMD -0.82, -1.34 to -0.31) and strength training (SMD -0.67, -1.05 to -0.30) also showed significant effects. Aerobic, physical training, and tai chi had moderate effects, while multisport showed a weaker impact with no significant improvement. In summary, our research findings demonstrate that exercise can effectively alleviate depressive symptoms in older adults, with low dropout rates likely due to interconnected physiological, psychological, and social mechanisms. This is crucial for enhancing treatment strategies for older adults' depression.

Association between the level of social participation and depressive symptoms among older Japanese adults: a cross-sectional survey.

Social participation is recommended for older adults to remain actively involved in daily life. Social participation is a broad concept, ranging from 'interacting with others without doing a specific activity with them' to 'actively contributing to society.' However, previous studies have not taken into account the components of social participation. Depressive symptoms are significant outcomes in older adults. Social participation mitigates these risks owing to its association with reduced mortality and enhanced quality of life. This study aimed to examine the association between the level of social participation and depressive symptoms in community-dwelling older adults. We included 17 040 individuals aged ≥65 years. Social participation was categorised into Level 3, interacting with others without doing a specific activity with them; Level 4, engaging in an activity with others; Level 5, helping others; and Level 6, contributing to society, based on a previous study by Levasseur et al. Depressive symptoms were assessed using the 15-item Geriatric Depression Scale. Logistic regression models were used to examine the association between the level of social participation and depressive symptoms. Overall, 15 069 older adults met the inclusion criteria. A higher level of social participation was associated with lower odds ratios (ORs) for depressive symptoms (Level 6 = OR: 0.43, 95% confidence interval (CI): 0.37-0.50; Level 5 = OR: 0.50, 95% CI: 0.41-0.60; and Level 4 = OR: 0.60, 95% CI: 0.52-0.69). Subgroup analyses based on age and sex yielded similar results across all participants. Among older adults in Japan, a higher level of social participation was associated with lower rates of depressive symptoms. The relationship between depressive symptoms and the levels of social participation may help develop measures to reduce or prevent depressive symptoms in older adults.

Effect of physical activity for reducing anxiety symptoms in older adults: a meta-analysis of randomized controlled trials

BackgroundAnxiety symptoms in older adults can significantly impact their well-being. Physical activity is increasingly recognized as a potential intervention to alleviate anxiety in this population. We conducted a systematic review and meta-analysis to explore the impact of physical activity on anxiety symptoms in geriatric individuals.MethodsA systematic search was conducted in MEDLINE (via PubMed), Scopus, and Embase databases until November 29, 2023. Two independent reviewers screened articles based on predefined inclusion criteria.ResultsEleven randomized controlled trials were included. These trials, involving 770 geriatric participants, demonstrated a significant overall effect of physical activity on reducing anxiety symptoms (SMD =-0.60, 95% CI: -0.88 to -0.32). Subgroup analysis based on type of intervention and duration of follow-up was performed. The results showed all types of exercises reduced anxiety symptoms compared to the control group. Furthermore, those studies with shorter follow-up (less than 10 weeks) did not show a statistically significant reduction in anxiety symptoms. Moderate heterogeneity was observed (I2 = 67%). Sensitivity analyses confirmed the robustness of the overall effect size. Funnel plot inspection and Egger’s test (p = 0.36) suggested no signs of publication bias or small study effects.ConclusionThis meta-analysis provides strong evidence that physical activity significantly reduces anxiety symptoms in older adults. The study highlights the differential effects of cardio and strength exercises and underscores the high quality of evidence supporting the anxiolytic benefits of physical activity in geriatric populations.

Being older during the pandemic: Factors affecting depressive symptoms in the older adults during the COVID-19 pandemic in Turkey

ABSTRACT International literature emphasizes that numerous factors are associated with depressive symptoms in older adults. This study aimed to examine the factors influencing depressive symptoms in individuals aged 60 years and above during the COVID-19 period in Turkey by establishing a model of inter-factor analysis. The participant group consisted of 394 individuals aged 60 years (M = 69.2 S.D = 6.7). Participant group was selected who were continuing their education at the Rejuvenation Campus established to serve those aged 60 and above at Akdeniz University. Data collection tools included a Personal Information Form, The Beck Depression Inventory and The Multidimensional Scale of Perceived Social Support. The analysis of the data obtained in the study was conducted using Pearson’s and Spearman’s correlation, along with the moderated mediation methods. This study examined the relationship between factors, such as COVID-19 fear, perceived social support, educational status, number of children, and perceived social exclusion and/or stigmatization by society due to being an older adult on depressive symptoms. According to the findings of the study, fear of COVID-19 has a direct and positive relationship on depressive symptoms. Additionally, it has been determined that the fear of COVID-19 has a direct and negative relationship on perceived social support. Apart from these findings, it is understood that perceived social support has a preventive mediating role on the relationship of COVID-19 fear on depressive symptoms. Finally, it was seen that self-report based sociodemographic control variables, negative relationship with depressive symptoms and positive relationship with perceived social support.

Self-perceptions of aging, physical activity, and depressive symptoms in older community residents with varied neighborhood walkability in Taiwan

BackgroundPrior research has identified the mediating effect of physical activity in the relationship between self-perceptions of aging and physical health. However, this impact on mental health is unknown, and the influence of environmental contexts proposed by ecological models in this regard remains largely unexplored. Therefore, this study aimed to investigate the role of physical activity in the relationship between self-perceptions of aging and depressive symptoms in older adults, and compare the impact across four levels of neighborhood walkability.MethodsA sample of 1,055 community-dwelling older adults aged 65 or above was obtained through random-digit-dialing computer-assisted telephone interviewing. The individual’s neighborhood walkability was calculated using Walk Score®, and categorized into four levels: car-dependent, somewhat walkable, very walkable, and walker’s paradise. Partial least squares structural equation modelling was employed.ResultsWe found that more positive self-perceptions of aging were associated with fewer depressive symptoms and a mediation effect of physical activity in this relationship. Among the four levels of neighborhood walkability, the mediation effect of physical activity was only statistically significant in the lowest level (car-dependent). The findings supported our hypotheses regarding the mediating effect of self-perceptions of aging on depressive symptoms via physical activity. Neighborhood walkability might potentially influence the mediating role of physical activity.ConclusionsThis study emphasizes key areas on intervention programs and policy formulation to promote mental health in older adults.

Latent profile analysis of depression and its influencing factors in older adults raising grandchildren in China

ObjectiveTo explore the latent profile of depression in older adults raising grandchildren in China, and to analyze the differences in the characteristics of the different profiles of the population and the factors influencing them. MethodsThis study utilized the 2018 China Health and Retirement Longitudinal Study (CHARLS). Through a cross-sectional study, the latent profile analysis was used to analyze the potential classification of depression among older adults raising grandchildren, and using ordered multi-categorical logistic regression analyses to assess the effects of each factor on their different classifications. ResultsThe 1271 older adults raising grandchildren with depression symptoms were divided into three categories: low-level depression (55.4%), moderate-level depression (31.2%), and high-level depression (13.4%). Ordered multi-categorical Logistic results showed: Gender, marital status, pension insurance, physical health status, life satisfaction, and IADL were predictors of latent profile classification of depression symptoms in older adults raising grandchildren (P < 0.05). ConclusionsIn the future of primary care, it will be more meaningful to provide targeted interventions for different subgroups of depression in older adults raising grandchildren.

Depressive symptoms of older adults with chronic diseases: the mediating roles of activities of daily living and economic burden of diseases.

To explore the mediating roles of activities of daily living (ADL) and economic burden of diseases in the relationship between chronic diseases and depressive symptoms of older adults. The data were sourced from China Health and Retirement Longitudinal Study (CHARLS). The number of chronic diseases, ADL, out-of-pocket medical expenses and the Center for Epidemiological Studies Depression Scale (CES-D) were selected as measuring indexes. Mediation analysis was conducted to explore the potential mediating roles of ADL and economic burden of diseases in the association between chronic diseases and depressive symptoms. The number of chronic diseases, ADL, economic burden of diseases and depressive symptoms of older adults were significantly correlated with each other. ADL and economic burden of diseases individually mediated the relationship between the number of chronic diseases and depressive symptoms, accounting for 31.460% and 5.471% of the total effect, respectively. Additionally, ADL and economic burden of diseases demonstrated a chain mediating effect in this relationship, contributing to 0.759% of the total effect. The chain-mediated model effectively elucidated the mediating roles of ADL and economic burden of diseases in the association between chronic diseases and depressive symptoms among older adults. The study underscores the need for policymakers to focus attentively on the mental health of older adults with chronic diseases. Enhancing the capacity for ADL and strengthening social security to mitigate the economic burden of diseases are recommended strategies to alleviate depressive symptoms in older adults.

Interventions Addressing Symptoms in Older Adults with Multimorbidity: An Umbrella Review.

This umbrella review was to synthesize the summarized evidence-based research regarding interventions addressing symptoms in older populations with multimorbidity. Three databases including PsycINFO, MEDLINE, and CINAHL were searched systematically. The JBI Methodology for Umbrella Reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statements were used to report this review. Six reviews published between 2016 and 2010 were included for analysis. Interventions were mixed and included components on health-related behaviors, body systems or functions, activities and participation domains, and the environment. Outcomes concerning physiological/clinical functioning were most reported. The evidence regarding the symptoms-related interventions was mixed, but all showed promising outcomes compared with usual care or not. To sum up, this umbrella review reveals the lack of strong empirical evidence for the effectiveness of intervention addressing symptoms in older adults with multimorbidity. It highlights the need to evaluate the established approach of interventions further to support this population.

재가 노인의 돌봄 유형에 따른 우울 영향요인

Purpose : This study examines how different types of care－formal and informal－affect depressive symptoms in older adults at home. Methods : Using data from the 2020 National Survey on Older Adults in South Korea, which included responses from 498 elderly individuals receiving care, we conducted logistic regression analyses to identify factors influencing depressive symptoms based on the type of care received. Results : The analysis showed significant differences in depressive symptoms between those receiving formal and informal care. In the formal care group, a better subjective perception of health was associated with a lower likelihood of depressive symptoms (OR＝0.47, p＜.001), while an increase in chronic conditions (OR＝1.15, p＝.007) and higher dependency in instrumental daily activities (OR＝1.08, p＜.001) increased the risk of depressive symptoms. Conversely, improved cognitive function was linked to reduced depression risks (OR＝0.96, p＜.001). In the informal care group, similar trends were observed. Notably, family cohabitation significantly influenced depressive symptoms outcomes, highlighting the importance of family support in care dynamics. Access to necessary facilities and adequate care provision also emerged as critical factors in mitigating depressive symptoms risks across both care types. Conclusion : The study underscores the importance of tailored interventions that enhance care accessibility and adequacy, particularly in informal settings, to improve mental health outcomes among the elderly.

Relationship between frailty and depressive symptoms in older adults: role of activities of daily living and sleep duration.

Previous studies have demonstrated that frailty is associated with depressive symptoms among older people and significantly increase the risk of difficulty in activities of daily living (ADL). However, uncertainties remain regarding the mechanisms behind such relationship. The aim of this study was to investigate the mediating effect of ADL in the relationship between frailty and depressive symptoms among older adults in China, and to explore to what extend sleep duration moderated the association between ADL and depressive symptoms. In this study, we carried out cross-sectional descriptive analysis and 1,429 participants were included in the analysis. A survey was conducted using questionnaires and instruments measuring frailty, depressive symptoms, ADL and sleep duration. Bootstrap analyses served to explore the impact of ADL in mediating frailty and depressed symptoms, as well as the effect of sleep duration in moderating ADL and depressive symptoms. Compared to the robust group, the mediating effects of ADL between frailty and depressive symptoms were significant in the prefrail group and the frail group. The interaction term between sleep duration and ADL was significantly presented in the regression on depressive symptoms. Specifically, the Johnson-Neyman technique determined a range from 8.31 to 10.19 h for sleep duration, within which the detrimental effect of frailty on depressive symptoms was offset. Sleep duration moderated the indirect effect of ADL on the association between frailty and depressive symptoms. This provides support for unraveling the underlying mechanism of the association between frailty and depressive symptoms. Encouraging older adults to enhance ADL and obtain appropriate sleep duration might improve depressive symptoms for older adults with frailty and prefrailty.

Altered pupil light and darkness reflex and eye-blink responses in late-life depression

BackgroundLate-life depression (LLD) is a prevalent neuropsychiatric disorder in the older population. While LLD exhibits high mortality rates, depressive symptoms in older adults are often masked by physical health conditions. In younger adults, depression is associated with deficits in pupil light reflex and eye blink rate, suggesting the potential use of these responses as biomarkers for LLD.MethodsWe conducted a study using video-based eye-tracking to investigate pupil and blink responses in LLD patients (n = 25), older (OLD) healthy controls (n = 29), and younger (YOUNG) healthy controls (n = 25). The aim was to determine whether there were alterations in pupil and blink responses in LLD compared to both OLD and YOUNG groups.ResultsLLD patients displayed significantly higher blink rates and dampened pupil constriction responses compared to OLD and YOUNG controls. While tonic pupil size in YOUNG differed from that of OLD, LLD patients did not exhibit a significant difference compared to OLD and YOUNG controls. GDS-15 scores in older adults correlated with light and darkness reflex response variability and blink rates. PHQ-15 scores showed a correlation with blink rates, while MoCA scores correlated with tonic pupil sizes.ConclusionsThe findings demonstrate that LLD patients display altered pupil and blink behavior compared to OLD and YOUNG controls. These altered responses correlated differently with the severity of depressive, somatic, and cognitive symptoms, indicating their potential as objective biomarkers for LLD.

The Impact of Loneliness In Older Adults Presenting With Memory Impairment: A Single-Center Experience

Background: Memory impairment may be the first sign of an amnestic mild cognitive impairment (MCI) or geriatric depression. Loneliness hurts consciousness and mood in the elderly population. This study aimed to investigate the impact of loneliness on possible MCI and depressive symptoms in older adults with memory impairment. Method: The data of this cross-sectional study was collected from a single center in Sakarya. Standardized Mini Mental Test (SMMT), geriatric depression, and loneliness scales were applied to 120 older adults who met the inclusion criteria. SPSS 22.0 was used for statistical analysis. Logistic regression analysis were used to determine possible risk factors of MCI and depression. p

The effectiveness of cognitive behavioral therapy for insomnia on sleep outcomes in the context of pain among older adult veterans.

Cognitive behavioral therapy for insomnia (CBT-I) is the gold-standard treatment for insomnia disorder in adults. Compared to young adults, older adults have increased risk for the development of conditions associated with chronic pain, which may impact the efficacy of CBT-I in improving insomnia symptoms in older adults. This study evaluated the effect of participant-rated pain on sleep-related outcomes of a supervised, non-clinician administered CBT-I program in older adult patients with chronic insomnia disorder. Secondary analysis was conducted using data from a randomized controlled trial among 106 community-dwelling older adult veterans (N = 106; mean age 72.1 years, 96% male, 78.3% White, 6.6% Hispanic, 5.7% African American) with chronic (≥3 months) insomnia disorder. Participants engaged in five sessions of manual-based CBT-I in individual or group format within one Department of Veterans Affairs healthcare system, provided by non-clinician "sleep coaches" who had weekly telephone supervision by behavioral sleep medicine specialists. Insomnia symptoms (Insomnia Severity Index), perceived sleep quality (Pittsburgh Sleep Quality Index), fatigue (Flinder's Fatigue Scale), daytime sleepiness (Epworth Sleepiness Scale), and perceived pain severity (items from the Geriatric Pain Measure) were assessed at 4 time points: baseline, one-week posttreatment, 6-month follow-up, and 12-month follow-up. Mixed effects models with time invariant and time varying predictors were employed for analyses. CBT-I improved insomnia symptoms, perceived sleep quality, fatigue, and daytime sleepiness among older veterans with chronic insomnia. Participant-reported pain was associated with greater improvements in insomnia symptoms following CBT-I. Pain did not affect improvements in other sleep-related outcomes (-0.38 ≤ b ≤ 0.07, p > 0.05). Between-subjects differences in pain, but not within-subject changes in pain over time, appeared to play a central role in insomnia symptom improvement at posttreatment, with individuals with higher-than-average pain showing greater insomnia symptom improvement (ISI score reduction; -0.32 ≤ b ≤ -0.28, p ≤ 0.005). Pain did not meaningfully hinder the effects of CBT-I on sleep outcomes. Among older veterans with chronic insomnia disorder, individuals with higher pain exhibited slightly greater improvement in insomnia than those with lower levels of pain. These findings suggest that experiencing pain does not impair treatment response and should not preclude older adults with insomnia from being offered CBT-I.

Digital Phenotyping of Geriatric Depression Using a Community-Based Digital Mental Health Monitoring Platform for Socially Vulnerable Older Adults and Their Community Caregivers: 6-Week Living Lab Single-Arm Pilot Study.

Despite the increasing need for digital services to support geriatric mental health, the development and implementation of digital mental health care systems for older adults have been hindered by a lack of studies involving socially vulnerable older adult users and their caregivers in natural living environments. This study aims to determine whether digital sensing data on heart rate variability, sleep quality, and physical activity can predict same-day or next-day depressive symptoms among socially vulnerable older adults in their everyday living environments. In addition, this study tested the feasibility of a digital mental health monitoring platform designed to inform older adult users and their community caregivers about day-to-day changes in the health status of older adults. A single-arm, nonrandomized living lab pilot study was conducted with socially vulnerable older adults (n=25), their community caregivers (n=16), and a managerial social worker over a 6-week period during and after the COVID-19 pandemic. Depressive symptoms were assessed daily using the 9-item Patient Health Questionnaire via scripted verbal conversations with a mobile chatbot. Digital biomarkers for depression, including heart rate variability, sleep, and physical activity, were measured using a wearable sensor (Fitbit Sense) that was worn continuously, except during charging times. Daily individualized feedback, using traffic signal signs, on the health status of older adult users regarding stress, sleep, physical activity, and health emergency status was displayed on a mobile app for the users and on a web application for their community caregivers. Multilevel modeling was used to examine whether the digital biomarkers predicted same-day or next-day depressive symptoms. Study staff conducted pre- and postsurveys in person at the homes of older adult users to monitor changes in depressive symptoms, sleep quality, and system usability. Among the 31 older adult participants, 25 provided data for the living lab and 24 provided data for the pre-post test analysis. The multilevel modeling results showed that increases in daily sleep fragmentation (P=.003) and sleep efficiency (P=.001) compared with one's average were associated with an increased risk of daily depressive symptoms in older adults. The pre-post test results indicated improvements in depressive symptoms (P=.048) and sleep quality (P=.02), but not in the system usability (P=.18). The findings suggest that wearable sensors assessing sleep quality may be utilized to predict daily fluctuations in depressive symptoms among socially vulnerable older adults. The results also imply that receiving individualized health feedback and sharing it with community caregivers may help improve the mental health of older adults. However, additional in-person training may be necessary to enhance usability. ClinicalTrials.gov NCT06270121; https://clinicaltrials.gov/study/NCT06270121.

The effect of reminiscence therapy on cognitive level, quality of life and depressive symptoms in older adults with type 2 diabetes: a randomised controlled trial.

Evidence suggests that reminiscence therapy can effectively reduce cognitive and psychological symptoms. This study was conducted to examine the effect of individual reminiscence therapy on cognitive level, quality of life and depressive symptoms in older adults with type 2 diabetes. This study is an experimental type, randomised controlled study designed in pre-test - post-test design. The sample size of the study consisted of 58 older adults with type 2 diabetes, consisting of 29 intervention and 29 control subjects. The older adults in the intervention group were individually subjected to 5 weeks of reminiscence therapy in two sessions (each session 40-45 min) per week. No intervention was applied to the control group. Personal Information Form, Standardised Mini Mental Test, SF-36 Quality of Life and Beck Depression Inventory were used to collect the data. While there was no significant difference between the pre-test Mini Mental Test, Beck Depression Inventory total score and SF-36 Quality of Life Scale mental and physical health sub-dimension mean scores of the older adults in the intervention group and the mean scores of those in the control group (P > 0.05), the difference between the Mini Mental Test, Beck Depression Inventory total score and SF-36 Quality of Life Scale mental and physical health sub-dimension mean scores of the older adults in the intervention and control groups in the post-test was found to be statistically significant (P < 0.05). The post-test Mini Mental Test total score, SF-36 Quality of Life Scale mental and physical health sub-dimension mean scores of the older adults in the intervention group were higher than the older adults in the control group. It was determined that the post-test Beck Depression Inventory total mean scores of the older adults in the intervention group were lower than the older adults in the control group. Reminiscence therapy can positively affect cognitive levels, quality of life and depression symptoms of older adults living in the community. Individual reminiscence therapy can be used as a nursing intervention in primary healthcare.

Pimavanserin's Safety Profile: Insights from a Phase 3b Clinical Trial.

The recent Alva et al. Phase 3b study on pimavanserin use in older adults with neurodegenerative diseases (NDDs), specifically including Alzheimer's disease, vascular dementia, Parkinson's disease (with or without dementia), frontotemporal dementia, and dementia with Lewy bodies, provides important new data on its safety for managing neuropsychiatric symptoms in this population. This commentary on the study further examines the findings within the broader context of antipsychotic therapy as it has evolved from chlorpromazine to pimavanserin in a continuous search for greater safety. Comparing pimavanserin's safety and efficacy profile with historical data and regulatory milestones provides a nuanced perspective for clinicians regarding the significance of the drug's known advantages over prior antipsychotic treatments. More research is needed to determine the full potential of pimavanserin to improve neuropsychiatric symptoms in older adults with NDDs.

Effectiveness of integrated care for older adults-based interventions on depressive symptoms: A systematic review and meta-analysis.

To pool existing studies to assess the overall effectiveness of integrated care for older adults (ICOPE)-based interventions in improving depressive symptoms in older adults. A systematic review and meta-analysis. Ten databases were systematically searched from inception to 15 July 2023 and the search was last updated on 2 September 2023. Standardized mean difference (SMD) was calculated using random effects models. RoB 2 and GRADEpro GDT were used to assess the methodological quality and confidence in the cumulative evidence. Funnel plots, egger's test and begg's test were used to analyse publication bias. Sensitivity, subgroup and meta-regression analyses were performed to explore potential sources of heterogeneity. The results of 18 studies showed ICOPE-based interventions had a significant effect on improving depressive symptoms (SMD = -.84; 95% CI, -1.20 to -.3647; p < .001; 18 RCTs, 5010 participants; very low-quality evidence). Subgroup analysis showed the intervention group was characterized by mean age (70-80 years old), intervention duration between 6 to 12 months, gender (female <50%), non-frail older adults, depressed older adults and mixed integration appeared to be more effective. Sensitivity analysis found the results to be robust. ICOPE-based interventions may be a potentially effective alternative approach to reduce depressive symptoms in the older adults. Healthcare professionals are expected to use ICOPE as one of the interventions for depressive symptoms in older adults, and this ICOPE could provide more comprehensive care services for older adults to reduce depressive symptoms. ICOPE-based interventions may be a potentially effective alternative approach to reduce depressive symptoms in the older adults. ICOPE-based interventions had a significant effect on reducing depressive symptoms in the older adults. The intervention group characterized by mean age of older adults, intervention duration, gender ratio, health condition and integration types may influence the effect size. According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. No Patient or Public Contribution.