Development and validation of a prediction model for falls among older people using community-based data.

This is the first study to employ multilevel modeling analysis to develop a predictive tool for falls in individuals who have participated in community group exercise over a year. The tool may benefit healthcare workers in screening community-dwelling older adults with various levels of risks for falls. PURPOSE: The aim of this study was to develop a calculation tool to predict the risk of falls 1 year in the future and to find the cutoff value for detecting a high risk based on a database of individuals who participated in a community-based group exercise. METHODS: We retrospectively reviewed a total of 7726 physical test and Kihon Checklist data from 2381 participants who participated in community-based physical exercise groups. We performed multilevel logistic regression analysis to estimate the odds ratio of falls for each risk factor and used the variance inflation factor to assess collinearity. We determined a cutoff value that effectively distinguishes individuals who are likely to fall within a year based on both sensitivity and specificity. RESULTS: The final model included variables such as age, sex, weight, balance, standing up from a chair without any aid, history of a fall in the previous year, choking, cognitive status, subjective health, and long-term participation. The sensitivity, specificity, and best cutoff value of our tool were 68.4%, 53.8%, and 22%, respectively. CONCLUSION: Using our tool, an individual's risk of falls over the course of a year could be predicted with acceptable sensitivity and specificity. We recommend a cutoff value of 22% for use in identifying high-risk populations. The tool may benefit healthcare workers in screening community-dwelling older adults with various levels of risk for falls and support physicians in planning preventative and follow-up care.

Prediction of Cognitive Impairment Risk among Older Adults: A Machine Learning-Based Comparative Study and Model Development.

INTRODUCTION: The prevalence of cognitive impairment and dementia in the older population is increasing, and thereby, early detection of cognitive decline is essential for effective intervention. METHODS: This study included 2,288 participants with normal cognitive function from the Ma'anshan Healthy Aging Cohort Study. Forty-two potential predictors, including demographic characteristics, chronic diseases, lifestyle factors, anthropometric indices, physical function, and baseline cognitive function, were selected based on clinical importance and previous research. The dataset was partitioned into training, validation, and test sets in a proportion of 60% for training, 20% for validation, and 20% for testing, respectively. Recursive feature elimination was used for feature selection, followed by six machine learning algorithms that were employed for model development. The performance of the models was evaluated using area under the curve (AUC), specificity, sensitivity, and accuracy. Moreover, SHapley Additive exPlanations (SHAP) was conducted to access the interpretability of the final selected model and to gain insights into the impact of features on the prediction outcomes. SHAP force plots were established to vividly show the application of the prediction model at the individual level. RESULTS: The final predictive model based on the Naive Bayes algorithm achieved an AUC of 0.820 (95% CI, 0.773-0.887) on the test set, outperforming other algorithms. The top ten influential features in the model included baseline Mini-Mental State Examination (MMSE), education, self-reported economic status, collective or social activities, Pittsburgh sleep quality index (PSQI), body mass index, systolic blood pressure, diastolic blood pressure, instrumental activities of daily living, and age. The model demonstrated the potential to identify individuals at a higher risk of cognitive impairment within 3 years from older adults. CONCLUSION: The predictive model developed in this study contributes to the early detection of cognitive impairment in older adults by primary healthcare staff in community settings.

A systematic review of the psychometric properties of physical performance tests for sarcopenia in community-dwelling older adults.

BACKGROUND: This review provides an overview of the psychometric properties of the short physical performance battery (SPPB), timed up and go test (TUG), 4 m gait speed test (4 m GST) and the 400 m walk test (400 m WT) in community-dwelling older adults. METHODS: A systematic search was conducted in MEDLINE, CINAHL and EMBASE, resulting in the inclusion of 50 studies with data from in total 19,266 participants (mean age 63.2-84.3). Data were extracted and properties were given a sufficient or insufficient overall rating following the COSMIN guideline for systematic reviews of patient-reported outcome measures. Quality of evidence (QoE) was rated using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. RESULTS: The SPPB was evaluated in 12 studies, TUG in 30, 4 m GST in 12 and 400 m WT in 2. Reliability of the SPPB, TUG and 4 m GST was rated sufficient (moderate to good QoE). The measurement error of the SPPB was rated insufficient (low QoE). Criterion validity for the SPPB was insufficient in indicating sarcopenia (moderate QoE), while the TUG was sufficient and insufficient for determining mobility limitations (low QoE) and activities of daily living disability (low QoE), respectively. Construct validity of the SPPB, TUG, 4 m GST and 400 m WT was rated insufficient in many constructs (moderate to high QoE). Responsiveness was rated as insufficient for SPPB (high QoE) and TUG (very low QoE), while 4 m GST was rated as sufficient (high QoE). CONCLUSION: Overall, the psychometric quality of commonly used physical performance tests in community-dwelling older adults was generally rated insufficient, except for reliability. These tests are widely used in daily practice and recommended in guidelines; however, users should be cautious when drawing conclusions such as sarcopenia severity and change in physical performance due to limited psychometric quality of the recommended measurement instruments. There is a need for a disease-specific physical performance test for people with sarcopenia.This research received no specific grant from any funding agency and was registered a priori using the International Prospective Register of Systematic Reviews (PROSPERO) (CRD42022359725).

Secular trends in frailty among community-dwelling 75-95-year-old cohorts over three decades in Helsinki, Finland.

BACKGROUND: Frailty Index (FI) reflects health, functioning and well-being of older people. It is valuable to compare how frailty has changed over time in ageing cohorts. This study aims to examine trends in frailty among 75-95-year-old men and women over three decades. METHODS: The Helsinki Ageing Study started in 1989 and includes repeated cross-sectional postal surveys every 10 years examining community-dwelling cohorts of older people (75, 80, 85, 90 and 95 years). FI comprises the same 36 items in each cohort. RESULTS: The mean FI was 0.22 (SD 0.12), 0.25 (SD 0.15), 0.26 (SD 0.15) and 0.23 (SD 0.15) in 1989, 1999, 2009 and 2019, respectively (P for linearity for crude values .11). Adjusted for age and sex, the four cohorts differed in their frailty the 2019 cohort having the lowest FI. This sex-adjusted difference was seen among 75-, 80-, 85- and 90-year-olds but not among 95-year-olds. FI decreased more among men than women (P for cohort <.001, P for sex <.01, P for interaction = .19). CONCLUSIONS: The prevalence of frailty among community-dwelling individuals aged 75, 80, 85 and 90 years-but not among those aged 95 years-has significantly decreased over the last decades. This positive trend may have important implications for health policies in societies with increasing longevity.

Effectiveness of dance interventions for falls prevention in older adults: systematic review and meta-analysis.

INTRODUCTION: Fall prevention is a global health priority. Strength and balance exercise programmes are effective at reducing falls. Emerging literature suggests dance is an enjoyable and sociable form of exercise. However, there is little evidence that dance reduces fall incidence. METHODS: Systematic review and meta-analysis examining effectiveness and cost-effectiveness of dance for falls prevention in older adults. Five databases were searched with no restrictions on publication date or intervention settings. Risk of bias was assessed using variants of Cochrane Risk of bias tools, Mixed-Methods Appraisal and Drummond checklist as appropriate. Certainty of evidence was assessed using GRADE. RESULTS: Forty-one studies were included (19 RCTs, 13 quasi-experimental, two mixed-method, seven observational studies, 2,451 participants). Five types of dance interventions were identified: ballroom and Latin dance, dance exercise, cultural dance, dance therapy, and low-impact dance. Meta-analysis was only possible for functional outcome measures: Timed-Up-and-Go (dance versus usual care, mean difference (MD) = 1.36; 95% CI -3.57 to 0.85), Sit-to-Stand (dance versus exercise MD = -0.85; 95% CI -2.64 to 0.93: dance versus education MD = -1.64; 95% CI -4.12 to 0.85), Berg Balance Scale (dance versus usual care MD = 0.61; 95% CI -4.26 to 5.47). There was unexplained variance in effects and no significant differences between intervention and control groups. Overall, certainty of evidence was very low; we are uncertain about the effect of dance interventions in reducing falls. CONCLUSIONS: There is very low certainty evidence for dance as an alternative to strength and balance training if the aim is to prevent falls. No robust evidence on the cost-effectiveness of dance interventions for the prevention of falls was found. PROSPERO REGISTRATION: CRD42022382908.

Loneliness prevalence of community-dwelling older adults and the impact of the mode of measurement, data collection, and country: A systematic review and meta-analysis.

OBJECTIVES: The aim of this systematic review and meta-analysis is to assess the prevalence of loneliness in many countries worldwide which have different ways of assessing it. DESIGN: Systematic review and meta-analysis. SETTING: We searched seven electronic databases for English peer-reviewed studies published between 1992 and 2021. PARTICIPANTS: We selected English-language peer-reviewed articles, with data from non-clinical populations of community-dwelling older adults (>60 years), and with "loneliness" or "lonely" in the title. MEASUREMENTS: A multilevel random-effects meta-analysis was used to estimate the prevalence of loneliness across studies and to pool prevalence rates for different measurement instruments, data collection methods, and countries. RESULTS: Our initial search identified 2,021 studies of which 45 (k = 101 prevalence rates) were included in the final meta-analysis. The estimated pooled prevalence rate was 31.6% (n = 168,473). Measurement instrument was a statistically significant moderator of the overall prevalence of loneliness. Loneliness prevalence was lowest for single-item questions and highest for the 20-item University of California-Los Angeles Loneliness Scale. Also, differences between modes of data collection were significant: the loneliness prevalence was significantly the highest for face-to-face data collection and the lowest for telephone and CATI data collection. Our moderator analysis to look at the country effect indicated that four of the six dimensions of Hofstede also caused a significant increase (Power Distance Index, Uncertainty Avoidance Index, Indulgence) or decrease (Individualism) in loneliness prevalence. CONCLUSIONS: This study suggests that there is high variability in loneliness prevalence rates among community-dwelling older adults, influenced by measurement instrument used, mode of data collection, and country.

Attitudes to ageing mediates the relationship between perception of age-friendly city and life satisfaction among middle-aged and older people in Macao: a cross-sectional study.

BACKGROUND: Societal attitudes toward ageing play a significant role in shaping one's ageing experience, and an age-friendly environment can potentially enhance the life satisfaction of older individuals. The objective of this study is to examine the role of attitudes to ageing as mediators in the association between the perception of an age-friendly city and life satisfaction among middle-aged and older adults. METHODS: Using the tools of Age-Friendly City (AFC) criteria, Attitudes to Ageing Questionnaire (AAQ) to measure psychosocial loss, psychological growth, and physical change, and Satisfaction with Life Scale (SWLS) to assess the level of life satisfaction among community-dwelling middle-aged and older people in Macao. Multiple mediation analysis was performed to test the mediation effect. RESULTS: A total of 543 participants were included in this study. The average score of AFC was 4.25, the total scores of psychosocial loss, physical change, and psychological growth were 24.06, 29.00, and 26.94 respectively. The total score of SWLS was 24.06. There was a partial mediation of attitudes to ageing in the relationship between perception of age-friendly city and life satisfaction. The mediation effect explained 56.1% of the total effect of AFC to life satisfaction. CONCLUSION: The development of an age-friendly city can help improve the public's view on ageing, and thus improve their life satisfaction. It is important for government to consider the improvement of people's attitudes to ageing when developing policies regarding AFC.

The relationship between social frailty and loneliness in community-dwelling older adults: a cross-sectional study.

BACKGROUND: Social frailty (SF) is associated with multiple adverse health outcomes, yet there has been an inadequate focus on social frailty. The convoy model portrays the social networks through the perspective of the life course, thus providing a framework to explain the occurrence of social frailty. This study aimd to figure out the prevalence of social frailty and loneliness among community-dwelling older adults and to explore their correlations based on convoy model. METHODS: This was a cross-sectional study, and 295 older adults from 10 communities of Zhengzhou in Henan Province participated in the study. Social frailty and loneliness were assessed separately with the Social Frailty Scale and University of California at Los Angeles-Loneliness Scale. The scores of social frailty of the older adults in different characteristic communities were compared by independent sample t-test and single factor analysis of variance. The influencing factors of social frailty were analysed by multiple stepwise linear regression and the structural equation model. The correlation between social frailty and loneliness was analysed by Pearson correlation analysis. RESULTS: The total scores of social frailty and loneliness of the older adults in the community were (2.09 ± 1.53) and (43.19 ± 8.91), respectively. There was a moderate positive correlation between social frailty and loneliness (r = 0.621, P < 0.01). The results of multiple stepwise linear regression analysis showed that age, living styles, balance of payments, and loneliness were the main influencing factors of the social frailty of older adults in the community (F = 27.180, P < 0.001). The structural equation model of social frailty fitted well (χ2 = 47.292, df = 26, χ2/df = 1.819, P = 0.007; RMSEA = 0.053, 95%CI (0.028, 0.076), P = 0.359; GFI = 0.971; AGFI = 0.939; NFI = 0.904; IFI = 0.955; TLI = 0.918; CFI = 0.953; SRMR = 0.0466). CONCLUSIONS: The convoy model had certain applicability in explanation of the relationship between loneliness and social frailty among older adults in community. The incidence of social frailty among the older adults in the community was high, and loneliness was at a medium level. It is necessary to strengthen the intervention of social frailty and loneliness of the older adults in the community, improve the quality of life of the older adults, and promote the development of healthy aging.

Prevalence, country-specific prescribing patterns and determinants of benzodiazepine use in community-residing older adults in 7 European countries.

BACKGROUND: The use of benzodiazepines (BZDs) in older population is often accompanied by drug-related complications. Inappropriate BZD use significantly alters older adults' clinical and functional status. This study compares the prevalence, prescribing patterns and factors associated with BZD use in community-dwelling older patients in 7 European countries. METHODS: International, cross-sectional study was conducted in community-dwelling older adults (65 +) in the Czech Republic, Serbia, Estonia, Bulgaria, Croatia, Turkey, and Spain between Feb2019 and Mar2020. Structured and standardized questionnaire based on interRAI assessment scales was applied. Logistic regression was used to evaluate factors associated with BZD use. RESULTS: Out of 2,865 older patients (mean age 73.2 years ± 6.8, 61.2% women) 14.9% were BZD users. The highest prevalence of BZD use was identified in Croatia (35.5%), Spain (33.5%) and Serbia (31.3%). The most frequently prescribed BZDs were diazepam (27.9% of 426 BZD users), alprazolam (23.7%), bromazepam (22.8%) and lorazepam (16.7%). Independent factors associated with BZD use were female gender (OR 1.58, 95%CI 1.19-2.10), hyperpolypharmacy (OR 1.97, 95%CI 1.22-3.16), anxiety (OR 4.26, 95%CI 2.86-6.38), sleeping problems (OR 4.47, 95%CI 3.38-5.92), depression (OR 1.95, 95%CI 1.29-2.95), repetitive anxious complaints (OR 1.77, 95%CI 1.29-2.42), problems with syncope (OR 1.78, 95%CI 1.03-3.06), and loss of appetite (OR 0.60, 95%CI 0.38-0.94). In comparison to Croatia, residing in other countries was associated with lower odds of BZD use (ORs varied from 0.49 (95%CI 0.32-0.75) in Spain to 0.01 (95%CI 0.00-0.03) in Turkey), excluding Serbia (OR 1.11, 95%CI 0.79-1.56). CONCLUSIONS: Despite well-known negative effects, BZDs are still frequently prescribed in older outpatient population in European countries. Principles of safer geriatric prescribing and effective deprescribing strategies should be individually applied in older BZD users.

Effectiveness of pedometer-based walking programmes in improving some modifiable risk factors of stroke among community-dwelling older adults: a systematic review, theoretical synthesis and meta-analysis.

BACKGROUND: Pedometer-based walking programs hold promise as a health promotion strategy for stroke prevention in community-dwelling older adults, particularly when targeted at physical activity-related modifiable risk factors. The question arises: What is the effectiveness of pedometer-based walking program interventions in improving modifiable stroke risk factors among community-dwelling older adults? METHOD: Eight databases were searched up to December 2nd, 2023, following the Preferred Reporting Items for Systematic Review and Meta-Analysis protocol. Inclusion criteria focused on randomized controlled trials (RCTS) involving community-dwelling older adults and reported in English. Two independent reviewers utilized Physiotherapy Evidence Database (PEDro) tool to extract data, assess eligibility, evaluate study quality, and identify potential bias. Standardized mean difference (SMD) was employed as summary statistics for primary -physical activity level -and secondary outcomes related to cardiovascular function (blood pressure) and metabolic syndrome, including obesity (measured by body mass index and waist circumference), fasting blood sugar, glycated hemoglobin, high-density lipoprotein cholesterol (HDL-C), and triglycerides. A random-effects model was used to generate summary estimates of effects. RESULTS: The review analyzed eight studies involving 1546 participants aged 60-85 years, with 1348 successfully completing the studies. Across these studies, pedometer-based walking programs were implemented 2-3 times per week, with sessions lasting 40-60 minutes, over a duration of 4-26 weeks. The risk of bias varied from high to moderate. Our narrative synthesis revealed positive trends in HDL-C levels, fasting blood sugar, and glycated hemoglobin, suggesting improved glycemic control and long-term blood sugar management. However, the impact on triglycerides was only marginal. Primary meta-analysis demonstrated significantly improved physical activity behavior (SMD=0.44,95%CI:0.26, 0.61,p=<0.00001;I2=0%;4 studies; 532 participants) and systolic blood pressure (SMD=-0.34,95%CI:-0.59,-0.09;p=<0.008;I2=65%,2 studies;249 participants), unlike diastolic blood pressure (SMD=0.13,95%CI:-0.13,-0.38,p=0.33; I2=91%; 2 studies; 237 participants). Interventions based on social cognitive, self-efficacy, and self-efficiency theory(ies), and social cognitive theory applied in an ecological framework, were linked to successful physical activity behavior outcomes. CONCLUSION: Pedometer-based walking programs, utilizing interpersonal health behavior theory/ecological framework, enhance physical activity behavior and have antihypertensive effects in community-dwelling older adults. While they do not significantly affect diastolic blood pressure, these programs potentially serve as a primary stroke prevention strategy aligning with global health goals. TRIAL REGISTRATION: Registration Number: INPLASY202230118.

An in-person survey of the influence of the COVID-19 pandemic on physical function, functional capacity, cognitive function, and mental health among community-dwelling older adults in Japan from 2016 to 2022.

BACKGROUND: The COVID-19 outbreak might have had several effects on older adults; however, much of the previous research only included self-report, cross-sectional, and online-survey data in the early stage of the pandemic. We conducted a face-to-face survey before and after the COVID-19 pandemic and investigated the influence of the pandemic on several functions to distinguish between changes due to aging and changes due to the pandemic using a linear mixed model. METHODS: A total of 8 longitudinal surveys were conducted from 2016 to 2022. Physical function was assessed by weight, body mass index, body fat percentage, skeletal muscle mass index, calf circumference, grip strength, knee extension strength, the 5-times chair stand test, the timed up & go test and 5-m walking test. Functional capacity was measured using the Tokyo Metropolitan Institute of Gerontology index of competence, cognitive function was measured using the Trail Making Test - A, and mental health was measured using the Geriatric Depression Scale. RESULTS: Of a total of 73 participants, 51 (69.9%) were female. The mean age at first participation was 71.82 years (SD = 4.64). The results of the linear mixed model showed that lower-limb muscle strength and body fat percentage and cognitive function changed significantly before and after the pandemic, while grip strength, functional capacity, and mental health did not. CONCLUSIONS: The changes in these functions between before and after the pandemic might be attributed to the diminished opportunities for the independent older individuals to go out and engage in activities. Although functional capacity did not change, lower-limb muscle strength is important for functional independence. This decline might influence the functional capacity of these individuals in the future.

Physical activity from the perspective of older adults: a convergent mixed-method study.

BACKGROUND: Older adults are insufficiently physically active, despite its importance for healthy aging. To develop appropriate physical activity interventions, it is necessary to understand their physical activity. This study applies a theoretical perspective, the COM-B model, and a mixed-method design to examine what influences older adults' physical activity levels with three questions: (1) What individual and external factors predict older adults' physical activity levels? (2) What do older adults perceive as influencing their levels of physical activity? (3) To what extent do the quantitative results on older adults' physical activity levels agree and disagree with the qualitative findings on older adults' physical activity levels? METHODS: A convergent mixed-method design was used with questionnaire (n = 334) and interview (n = 14) data from adults 65 years and older. Regression analyses were used for quantitative measurements: physical activity, age, subjective socioeconomic status, health status, capability, opportunity, motivation, and depression. Content analysis was applied to the qualitative data. The two forms of data were then integrated to provide greater insights than would be obtained by either dataset separately. RESULTS: The regression analyses showed that previous physical activity, current motivation, health status, and age significantly predicted older adults' physical activity levels. The content analysis revealed that participants addressed all subcomponents of the COM-B model, indicating its pertinence in understanding how older adults discuss their current physical activity levels. The integrated findings showed convergent and divergent results. Overall results indicated that previous physical activity engagement, present motivation, capability, and opportunity influenced older adults' physical activity levels. CONCLUSIONS: This study is the first to use this mixed-methods design to examine factors influencing physical activity levels among older adults living in rental apartments with community hosts. The integrated result reveals convergence for findings on motivation and physical capability but divergence on psychological capability, opportunity, and previous physical activity. The findings underscore a complex interplay of factors influencing older adults' physical activity levels and indicate relevance for the COM-B model. The results can guide future research on theoretically informed interventions to promote physical activity and healthy aging. Future research should clarify the role of opportunity for older adults' physical activity.

The impact of fear of falling on health-related quality of life in community-dwelling older adults: mediating effects of depression and moderated mediation effects of physical activity.

BACKGROUND: The fear of falling is a common issue among older adults that negatively affects physical and psychological aspects of health-related quality of life, regardless of actual fall events. Interventions aimed at reducing fear of falling, independent of falls, may improve older adults' quality of life. This study examined the moderated mediation effect of physical activity in how fear of falling affects health-related quality of life through depression in community-dwelling older adults. METHODS: This study used secondary data from the Korea Centers for Disease Control and Prevention's 2019 Community Health Survey. The study included 73,738 adults aged 65 years or older. The researchers used the fear of falling scale, International Physical Activity Questionnaire, Patient Health Questionnaire-9, and EuroQol 5 Dimension as research tools, and performed descriptive statistics, Pearson's correlation coefficient, and SPSS PROCESS macro analysis. The study used the bootstrapping method to assess the adjusted mediating effect by resampling 5,000 times, and determined statistical significance with a 95% confidence interval. RESULTS: In the model in which fear of falling affects health-related quality of life by mediating depression, the moderated mediation effect of physical activity was statistically significant, as the bootstrapping result did not include 0 in the 95% confidence interval (Index of moderated mediation [95% CI] = 0.006 [0.004-0.007], 0.008 [0.006-0.009]). Depression and health-related quality of life impairment decreased as the level of physical activity increased through inactivity, minimal activity, and health promotion activities, as the negative mediating effects decreased. CONCLUSION: Physical activity reduces depression and improves health-related quality of life by influencing older adults' fear of falling. Community-based programs are needed to encourage and support older adults in maintaining moderate physical activity to manage the depression caused by fear of falling, which is common among older adults, and to improve their health-related quality of life.

Exploring the Experiences of Community-Dwelling Older Adults on Using Wearable Monitoring Devices With Regular Support From Community Health Workers, Nurses, and Social Workers: Qualitative Descriptive Study.

BACKGROUND: The use of wearable monitoring devices (WMDs), such as smartwatches, is advancing support and care for community-dwelling older adults across the globe. Despite existing evidence of the importance of WMDs in preventing problems and promoting health, significant concerns remain about the decline in use after a period of time, which warrant an understanding of how older adults experience the devices. OBJECTIVE: This study aims to explore and describe the experiences of community-dwelling older adults after receiving our interventional program, which included the use of a smartwatch with support from a community health workers, nurses, and social workers, including the challenges that they experienced while using the device, the perceived benefits, and strategies to promote their sustained use of the device. METHODS: We used a qualitative descriptive approach in this study. Older adults who had taken part in an interventional study involving the use of smartwatches and who were receiving regular health and social support were invited to participate in focus group discussions at the end of the trial. Purposive sampling was used to recruit potential participants. Older adults who agreed to participate were assigned to focus groups based on their community. The focus group discussions were facilitated and moderated by 2 members of the research team. All discussions were recorded and transcribed verbatim. We used the constant comparison analytical approach to analyze the focus group data. RESULTS: A total of 22 participants assigned to 6 focus groups participated in the study. The experiences of community-dwelling older adults emerged as (1) challenges associated with the use of WMDs, (2) the perceived benefits of using the WMDs, and (3) strategies to promote the use of WMDs. In addition, the findings also demonstrate a hierarchical pattern of health-seeking behaviors by older adults: seeking assistance first from older adult volunteers, then from social workers, and finally from nurses. CONCLUSIONS: Ongoing use of the WMDs is potentially possible, but it is important to ensure the availability of technical support, maintain active professional follow-ups by nurses and social workers, and include older adult volunteers to support other older adults in such programs.

Factors Associated with Advance Care Planning Engagement Among Community-Dwelling Older Adults: A Cross-Sectional Study.

AIM: To explore the associations between depression, anxiety, decisional conflict and advance care planning engagement and the potential mediating role of decisional conflict in the associations between depression, anxiety and advance care planning among community-dwelling older adults. DESIGN: A cross-sectional study was conducted with 262 community-dwelling older Australians across metropolitan, regional and rural communities between August and October 2022. METHODS: Validated self-reported questions were used to collect data on anxiety, depression (Hospital Anxiety and Depression Scale), decisional conflict (Decisional Conflict Scale), advance care planning engagement (Advance Care Planning Engagement Survey) and covariates (demographic characteristics, health literacy [Health Literacy Screening Questions]), overall health status (Short form 36). Data analysis included descriptive statistics, bivariate association analysis, general linear modelling and path analysis. RESULTS: Anxiety and decisional conflict were directly associated with advance care planning engagement even after controlling for potential effects of demographic characteristics, health literacy and overall health status. The model, including age, gender, country of birth, language spoken at home, education, overall health status, anxiety, depression, decisional conflict and interaction between anxiety and decisional conflict, explained 24.3% of the variance in their advance care planning engagement. Decisional conflict mediated the association between anxiety and advance care planning engagement. CONCLUSION: Increased anxiety and decisional conflict were associated with reduced advance care planning engagement directly, even among community-dwelling older adults with higher levels of education and health literacy. Increased anxiety was associated with reduced advance care planning engagement indirectly via increased decisional conflict. Healthcare professionals should assess community-dwelling older adults' anxiety and implement interventions to manage their anxiety and decisional conflict, as these may facilitate their engagement in advance care planning. IMPACT: Understanding factors associated with advance care planning engagement among community-dwelling older adults may inform strategies facilitating their future engagement in advance care planning. Findings from this study may be used as evidence for future implementation to facilitate the engagement of community-dwelling older adults in advance care planning. REPORTING METHOD: The STROBE statement checklist was used as a guide to writing the manuscript. PATIENT OR PUBLIC CONTRIBUTION: The study was advertised publicly through social media (e.g. Twitter and Facebook) and newsletters (e.g. Advance Care Planning Australia, Centre for Volunteering, Palliative Care Australia and a large home care service provider with approximately 7000 older clients receiving support or services) to recruit participants. People aged 65 years and older living independently in the Australian community who could communicate in English were invited to participate and answer the questionnaire.

Validity, feasibility, and effectiveness of a voice-recognition based digital cognitive screener for dementia and mild cognitive impairment in community-dwelling older Chinese adults: A large-scale implementation study.

INTRODUCTION: We investigated the validity, feasibility, and effectiveness of a voice recognition-based digital cognitive screener (DCS), for detecting dementia and mild cognitive impairment (MCI) in a large-scale community of elderly participants. METHODS: Eligible participants completed demographic, cognitive, functional assessments and the DCS. Neuropsychological tests were used to assess domain-specific and global cognition, while the diagnosis of MCI and dementia relied on the Clinical Dementia Rating Scale. RESULTS: Among the 11,186 participants, the DCS showed high completion rates (97.5%) and a short administration time (5.9 min) across gender, age, and education groups. The DCS demonstrated areas under the receiver operating characteristics curve (AUCs) of 0.95 and 0.83 for dementia and MCI detection, respectively, among 328 participants in the validation phase. Furthermore, the DCS resulted in time savings of 16.2% to 36.0% compared to the Mini-Mental State Examination (MMSE) and Montral Cognitive Assessment (MoCA). DISCUSSION: This study suggests that the DCS is an effective and efficient tool for dementia and MCI case-finding in large-scale cognitive screening. HIGHLIGHTS: To our best knowledge, this is the first cognitive screening tool based on voice recognition and utilizing conversational AI that has been assessed in a large population of Chinese community-dwelling elderly. With the upgrading of a new multimodal understanding model, the DCS can accurately assess participants' responses, including different Chinese dialects, and provide automatic scores. The DCS not only exhibited good discriminant ability in detecting dementia and MCI cases, it also demonstrated a high completion rate and efficient administration regardless of gender, age, and education differences. The DCS is economically efficient, scalable, and had a better screening efficacy compared to the MMSE or MoCA, for wider implementation.

Poor Activities of Daily Living Predict Future Weight Loss in Older Adults After Hospital Discharge-Secondary Analysis of a Randomized Trial.

This study examined whether participants with poor activities of daily living (ADLs) at hospital discharge had increased weight loss after 6 months of follow-up and whether nutrition therapy can prevent this weight loss. This dietary randomized controlled trial (N = 104) examined community-dwelling older adults (66-95 years) discharged from hospital and at risk for malnutrition, receiving either 6 months of nutrition therapy (intervention) or only standard care (control). ADL was assessed using seven questions on self-care based on the Katz et al.'s method. At discharge, 45 (43%), 36 (35%), and 23 (22%) had high, medium, and poor ADL, respectively, with no differences between the control and intervention groups according to chi-square test. Participants in the control group with poor ADL had significantly higher weight loss than participants with high ADL (age- and sex-adjusted analysis of covariance: 3.6 kg; 95% confidence interval [1.0, 6.1] kg, p = .007). No such difference was observed in the intervention group. Participants with poor ADL at hospital discharge develop lower body weight by around 3.5 kg 6 months later when compared with participants with high ADL. Receiving nutrition therapy could help older adults with poor ADL to maintain body weight after hospital discharge.

Effect of physical frailty on maximum phonation time in community-dwelling older individuals who visited a neurology outpatient clinic.

BACKGROUND: Maximum phonation time (MPT) is used to assess speech and other oral rehabilitation-related issues. Various factors contribute to MPT decline in older individuals. Although the impact of physical frailty on MPT has been suggested, this has not been conclusively determined. OBJECTIVE: To examine the relationship between MPT and physical frailty in community-dwelling individuals aged ≥60 years who were independently mobile. MPT-associated factors were investigated. METHODS: This cross-sectional study analysed the clinical data of 122 patients (age [interquartile range]: 80.0 [74.0-83.0] years) without dementia who visited a neurology department between 1 February 2021 and 31 January 2023. Investigated factors included age, sex, weight, height, body mass index, smoking history, grip strength, functional independence measure, vital capacity, oral diadochokinesis, MPT and the Japanese Cardiovascular Health Study score. Physical frailty was assessed based on the total score from five items (weight loss, weakness, exhaustion, slowness and low physical activity). The relationship between MPT and physical frailty was examined using Spearman's rank correlation coefficient and hierarchical multiple regression analysis. RESULTS: The MPT was negatively correlated with age (r = -0.347, p < .01) and physical frailty (r = -0.681, p < .01) and positively correlated with vital capacity (r = 0.474, p < .01) and height (r = 0.248, p < .01). The hierarchical multiple regression analysis, conducted with MPT as the dependent variable, demonstrated that physical frailty (ß = -.59, 95% confidence interval: -0.74 to 0.43, p < .001) had a strong influence on MPT. CONCLUSION: In older individuals, MPT is associated with physical frailty. When assessing MPT in clinical settings, it is advisable to perform a concurrent assessment of physical frailty.

Experiences of receiving an mHealth application with proactive nursing support among community-dwelling older adults: a mixed-methods study.

BACKGROUND: As the population ages, a plethora of digital and mobile health applications for assistance with independent living have emerged. Still unknown, however, is how older adults sustain the use of these applications. AIM: This study sought to explore the experiences of older adults following their participation in a programme that combined the use of an mHealth application with proactive telecare nursing support. METHODS: We employed a concurrent mixed-methods design for this study. The quantitative strand included a survey, whereas the qualitative strand included open-ended questions as part of the survey to understand the participants' experiences. Participants for this study were community-dwelling older adults who had taken part in an interventional study that sought to examine the effects of mHealth and nurse support. A convenience sampling approach was employed to recruit potential participants for this study. FINDINGS: Fifty-five older adults participated. The majority expressed positive attitudes and satisfaction with the app and the nurses' support. The app and nurses' support helped participants to understand their health status and obtain health information. Reasons to halt app usage included technical issues and limited social support. CONCLUSION: Mobile apps with professional follow-up support could potentially support older adults in the community, although emerging concerns need to be addressed to sustain long-term usage of these apps.

Changes in frailty and lifestyle among community-dwelling older adults: A two-point cross-sectional study during and after the COVID-19 pandemic in Japan.

We aimed to verify the characteristics of lifestyles and frailty among older adults during and after the COVID-19 pandemic. This two-point cross-sectional study conducted a baseline survey (BL) in 2020 and a follow-up survey (FU) in 2023 with community-dwelling individuals aged ≥65 years in Japan. The 700 and 572 participants in the BL and FU were analyzed. We compared frailty occurrence and lifestyle characteristics between both surveys. In the BL and FU, 38.3 %, 52.4 %, and 9.3 % and 29.4 %, 59.4 %, and 11.2 % of the individuals were classified as robust, pre-frail, and frail, respectively, showing a significant decrease in the number of robust, and an increase in the number of pre-frail. A significant decrease in dietary intake was observed among robust individuals in the FU, with an overall significant decrease in communication opportunities in the BL. Therefore, lifestyle changes due to infection control measures may have a delayed impact on frailty.