Cognitive stimulation therapy (CST) was found to significantly improve cognitive function and quality of life (QOL) in patients with mild-to-moderate dementia in the UK. However, indigenous research on older adults with dementia in Taiwan is scarce. Therefore, this study developed and investigated the effects of a Taiwan version of group CST (CST-T) through a quasi-experimental trial. Excluding the dropouts, there were 13 experimental participants (M = 78.9 ± 9.0) and 13 control participants (77.9 ± 5.6). The results indicated significant improvements in cognitive function, QOL, and daily life functioning in the experimental group compared with the control group, and these effects remained evident at a 3-month follow-up.

Amnestic mild cognitive impairment (aMCI) is a transitional stage between normal aging and Alzheimer\'s disease, making early screening imperative for potential intervention and prevention of progression to Alzheimer\'s disease (AD). Therefore, there is a demand for research to identify effective and easy-to-use tools for aMCI screening. While behavioral tests in virtual reality environments have successfully captured behavioral features related to instrumental activities of daily living for aMCI screening, further investigations are necessary to establish connections between cognitive decline and neurological changes. Utilizing electroencephalography with steady-state visual evoked potentials, this study delved into the correlation between behavioral features recorded during virtual reality tests and neurological features obtained by measuring neural activity in the dorsal stream. As a result, this multimodal approach achieved an impressive screening accuracy of 98.38%.

BACKGROUND: Adherence to the transition from oral agents to insulin injections in Type 2 Diabetes Mellitus therapy varies among patients and is not uniformly successful, leading to suboptimal glycemic control in certain cases. This study aims to investigate the potential correlation between cognitive and daily functional capabilities and glycemic control in middle-aged to older adults (40-74 years old) diagnosed with Type 2 Diabetes Mellitus for less than 10 years, specifically those who have recently transitioned to insulin injections and have lower education levels within the context of a developing country.
METHODS: A case-control study was conducted with 30 poorly controlled diabetes mellitus (PCDM) patients recognized by HbA1c levels > 8% compared to 30 fairly controlled diabetes mellitus (FCDM) patients with HbA1c levels ≤ 8%. Basic Montreal Cognitive Assessment (MoCA-B) score of less than 27 was investigated as the exposure among two groups. Additionally, intra- and inter-battery correlations were assessed among MoCA-B and Instrumental Activities of Daily Living (IADL) domains using Pearson\'s r.
RESULTS: The primary outcomes showed no crude difference between MoCA-B scores in the two diabetic groups (p-value = 0.82). However, after adjusting for age, education, and IADL scores, cognitive decline in the less-educated younger elderly with high IADL scores demonstrated an unexpected protective effect against PCDM (p-value < 0.0001, OR 95% CI = 0-0.26). In linear regression analysis among MoCA-B and IADL scores, \"delayed recall\" and \"orientation\" domains from MoCA-B, and \"managing medications\" and \"using the phone\" from IADL were negatively associated with HbA1c levels (p-values of < 0.01, 0.043, 0.015, and 0.023, respectively). Intra- and inter-battery correlations further illustrated a strong association between MoCA-B\'s \"orientation\" with IADL\'s \"using the phone\" and \"managing medications\" (p-values < 0.0001).
CONCLUSIONS: Superior performance in certain cognitive domains is linked to better glycemic control. Still, since assessing cognitive domains may be timely in clinical routine, a potential rapid approach might be taken by assessing patients\' instrumental abilities to use cell phone or manage medications. Future studies including a larger sample size and a broader spectrum of psychosocial factors are needed to elaborate on our findings.

BACKGROUND: Social inactivity after a stroke leads to adverse outcomes, making social activity after discharge important for chronic stroke survivors. This study aimed to investigate the effects of early rehabilitation services after discharge on social activity among chronic stroke survivors.
METHODS: The participants were prospectively recruited from 3 convalescent hospitals. Receipt of early rehabilitation services after discharge for chronic stroke survivors was defined as the utilization of day care or home-based rehabilitation services by the Japanese long-term care insurance system. Social activity was assessed using the Frenchay Activities Index (FAI) premorbid and at 3, 6, and 12 months after discharge. In this study, the outcome was defined as the change in the FAI score from 3 to 12 months after discharge. Multivariate regression analysis was performed to examine the effect of access to rehabilitation on changes in FAI.
RESULTS: Ninety stroke survivors (age 67.2±11.6 years, 52 male) were enrolled. The FAI showed improvements by 27.4% and 1.4% from 3 to 12 months after discharge in the rehabilitation and nonrehabilitation groups, respectively. Multivariate regression analysis showed that access to rehabilitation after discharge was positively associated with the FAI change from 3 to 12 months after discharge (B=30.3, β=0.38, 95% confidence interval=11.13-49.47, P=0.002).
CONCLUSIONS: Early rehabilitation services after discharge were significantly associated with increased social activity.

UNASSIGNED: Although the overall quality of medicine has improved in recent decades, the functional capacity in many hip fracture patients remains insufficient. The goal of the present study was to identify significant predictors of Instrumental Activities of Daily Living (IADL) measured by the Lawton-Brody scale at 3- and 6-month follow-up in patients with hip fractures admitted to a hospital.
UNASSIGNED: This observational cohort study included 191 patients with acute hip fractures. IADL was measured at baseline and after 3 and 6 months using the Lawton-Brody scale. Multivariable logistic regression analysis was carried out using pre-fracture functional status, sociodemographic variables, hand grip strength (HGS), surgical procedure, complications, and length of hospital stay, Short Physical Performance Battery, and Barthel Index (BI) on the fifth postoperative day as potential predictors for IADL after a hip fracture surgery.
UNASSIGNED: The mean age of the participants was 80.3 ± 6.8 years, and 77.0% of our cohort were women. Multivariate regression analysis revealed that pre-fracture functional status and early functional recovery were independent predictors of IADL after hip fracture surgery.
UNASSIGNED: Clinicians should take steps to improve functional outcomes by changing how patients are rehabilitated in the first days after hip fracture surgery, especially for the group of patients with a lower functional status before the fracture.

Frailty and activities of daily living (ADL) disability are common conditions among older population. Studies on the bidirectional relationship between frailty and ADL are limited. The current study examined the cross-sectional and longitudinal associations between frailty and ADL in middle-aged and older Chinese individuals.
The data was collected through the China Health and Retirement Longitudinal Study (CHARLS), conducted in 2011, 2013, and 2015, encompassing 17,284 individuals aged ≥45 years. We excluded individuals without follow-up data. 2,631 participants finished the baseline survey. The definition of ADL disability encompasses difficulty in engaging in either basic activities of daily living (BADL) or instrumental activities of daily living (IADL). Frailty was assessed according to the Fried criteria. Logistic regression was utilized to examine odds ratios (ORs) and 95% confidence intervals (CIs) for assessing the cross-sectional relationships between ADL with frailty at baseline. The prediction effects were explored using Cox proportional hazards analysis, testing hazard ratios (HRs) and 95%CIs.
In cross-sectional analysis, BADL [OR = 6.660 (4.519-9.815)], IADL [OR = 5.950 (4.490-7.866)], and ADL [OR = 5.658 (4.278-7.483)] exhibited significant associations with frailty; frailty demonstrated significant associations with BADL [OR = 6.741 (4.574-9.933)], IADL [OR = 6.042 (4.555-8.016)] and ADL [OR = 5.735 (4.333-7.591)]. In longitudinal analysis, IADL and ADL were significantly associated with frailty in participants without baseline frailty in the short-term period [IADL: HR = 1.971 (1.150-3.379), ADL: HR = 1.920 (1.146-3.215)], IADL exhibited a significant association with frailty in the long-term period [HR = 2.056 (1.085-3.895)]. There was no significant link observed between frailty and an elevated risk of disability onset in BADL, IADL and ADL during the short-term period. When considering the long-term perspective, frailty exhibited a significant association with an elevated risk of disability onset in BADL [HR= 1.820 (1.126-2.939)] and IADL [HR = 1.724 (1.103-2.694)].
In middle-aged and older adults, ADL and IADL disability predicted frailty after 2-year follow-up, IADL disability predicted frailty after 4-year follow-up. Moreover, frailty did not predict BADL, IADL and ADL disability after 2-year follow-up. However, frailty predicted BADL and IADL disability after 4-year follow-up.

BACKGROUND: Instrumental activities of daily living (iADLs) are crucial for older adults to live independently. Health care and technological advancements will increase the older adult population and life expectancy globally. Difficulties with iADLs impact older adults\' quality of life. Mobile apps can assist older adults, but many require help due to limited awareness. Lack of awareness is a barrier to app use. Existing literature mainly covers health care and app design, needing more focus on iADL apps for older adults.
OBJECTIVE: The study objectives encompass 2 main aspects: first, to evaluate the awareness, use, and factors influencing the use of apps among older adults for iADLs; and second, to create and assess the effectiveness of a gerontechnology empowerment program (GEP) for older adults on the awareness and use of apps for iADLs.
METHODS: This research uses a quantitative approach divided into 2 distinct phases. In phase 1, we conduct a descriptive survey to assess the level of awareness and use of mobile apps for iADLs and identify the factors that influence the use of such apps among older adults. To ensure clarity and comprehension among participants, we provide them with a subject information sheet in both Kannada and English. The data collected during this phase enable us to gain insights into awareness levels, use patterns, and factors that shape older adults\' use of apps for iADLs. The results serve as the foundation for designing the GEP. In phase 2, a cluster randomization method will be used to select older adults aged 60 to 75 years in Udupi district, Karnataka, India, who are active smartphone users. These participants will be divided into 2 groups: the experimental and the control groups. The experimental group will join the GEP. The sample size for phase 1 is 554, and phase 2 is 50. To assess the effectiveness of this program, we will measure the outcomes before and after its implementation using the same assessment tools used in phase 1.
RESULTS: This study is funded by the Indian Council of Medical Research (Adhoc/193/2022/SBHSR on November 18, 2022). Phase 1 data collection is expected to be completed by November 2023, and phase 2 is scheduled to commence in the upcoming months. Phase 1 and 2 findings will be analyzed and discussed in the main paper, which we intend to submit to a high-quality peer-reviewed journal for publication. The research protocol, informed consent forms, and associated documentation received approval from institutional ethics committees (214/2020).
CONCLUSIONS: Upon the successful testing of the GEP, it can be recommended that welfare departments encourage older adults to use mobile apps for iADLs and establish training programs to provide support to older adults in using these apps.
BACKGROUND: Clinical Trials Registry - India CTRI/2020/09/027977; https://ctri.nic.in/Clinicaltrials/pmaindet2.php?EncHid=NDUxMzM=&Enc=&userName=027977.
UNASSIGNED: DERR1-10.2196/53587.

BACKGROUND: There are a variety of determinants that are key to functional disability of older adults. However, little is known regarding the relationship between cognitive frailty and disability among older people. The aims of this study were to examine the associations between cognitive frailty and its six components with instrumental activities of daily living (IADL) functioning in community-dwelling older adults.
METHODS: A total of 313 community-dwelling older adults (aged ≥ 65 years) were recruited from eight community centers in central China. Cognitive frailty was operationalized using the Mini-Mental State Examination for the evaluation of cognitive status and the Fried criteria for the evaluation of physical frailty. The outcome was functional disability assessed by the IADL scale. The association between cognitive frailty, as well as its components, and IADL limitations was identified by conducting binary logistic regression analysis.
RESULTS: The prevalence of cognitive frailty was 8.9% in this study. The results showed that cognitive frailty (OR = 22.86) and frailty without cognitive impairment (OR = 8.15) were associated with IADL limitations. Subdimensions of cognitive frailty, exhaustion, weakness, low physical activity and cognitive impairment components were independently associated with IADL limitations.
CONCLUSIONS: Cognitive frailty was associated with a higher prevalence of disability. Interventions for improving cognitive frailty should be developed to prevent IADL disability among community-dwelling older adults in China.

BACKGROUND: Assessment of activities of daily living (ADLs) and instrumental ADLs (iADLs) is key to determining the severity of dementia and care needs among older adults. However, such information is often only documented in free-text clinical notes within the electronic health record and can be challenging to find.
OBJECTIVE: This study aims to develop and validate machine learning models to determine the status of ADL and iADL impairments based on clinical notes.
METHODS: This cross-sectional study leveraged electronic health record clinical notes from Mass General Brigham\'s Research Patient Data Repository linked with Medicare fee-for-service claims data from 2007 to 2017 to identify individuals aged 65 years or older with at least 1 diagnosis of dementia. Notes for encounters both 180 days before and after the first date of dementia diagnosis were randomly sampled. Models were trained and validated using note sentences filtered by expert-curated keywords (filtered cohort) and further evaluated using unfiltered sentences (unfiltered cohort). The model\'s performance was compared using area under the receiver operating characteristic curve and area under the precision-recall curve (AUPRC).
RESULTS: The study included 10,000 key-term-filtered sentences representing 441 people (n=283, 64.2% women; mean age 82.7, SD 7.9 years) and 1000 unfiltered sentences representing 80 people (n=56, 70% women; mean age 82.8, SD 7.5 years). Area under the receiver operating characteristic curve was high for the best-performing ADL and iADL models on both cohorts (>0.97). For ADL impairment identification, the random forest model achieved the best AUPRC (0.89, 95% CI 0.86-0.91) on the filtered cohort; the support vector machine model achieved the highest AUPRC (0.82, 95% CI 0.75-0.89) for the unfiltered cohort. For iADL impairment, the Bio+Clinical bidirectional encoder representations from transformers (BERT) model had the highest AUPRC (filtered: 0.76, 95% CI 0.68-0.82; unfiltered: 0.58, 95% CI 0.001-1.0). Compared with a keyword-search approach on the unfiltered cohort, machine learning reduced false-positive rates from 4.5% to 0.2% for ADL and 1.8% to 0.1% for iADL.
CONCLUSIONS: In this study, we demonstrated the ability of machine learning models to accurately identify ADL and iADL impairment based on free-text clinical notes, which could be useful in determining the severity of dementia.

OBJECTIVE: To investigate the association between comorbidities associated with diabetes and higher-level functional status as well as the relationship between comorbidities associated with diabetes and higher-level functional status in older patients with type 2 diabetes mellitus who have better social networks.
METHODS: Participants were outpatients with type 2 diabetes aged ≥ 65 years, excluding individuals with severe cardiovascular or respiratory illness, hyperglycaemic crisis, type 1 diabetes, or diabetic foot. The Tokyo Metropolitan Institute of Gerontology Index of Competence (TMIG-IC) was used to evaluate the higher-level functional status. A TMIG-IC score of ≤ 9, instrumental activities of daily living (IADL) ≤ 4, intellectual activity or social role ≤ 3 were defined as decline in higher-level functional status. The comorbidities investigated included peripheral neuropathy, retinopathy, nephropathy, cognitive impairment, depression, frailty, sarcopenia, low muscle strength, stroke, heart disease, and arthritis.
RESULTS: The analysis included 198 patients (mean age 75.9 ± 5.7 years, male 60.1%). After adjusting for potential confounders, depression was associated with TMIG-IC (Prevalence ratio (PR) 2.34, 95% confidence interval (CI) 1.44-3.82), low muscle strength was associated with IADL (PR 2.85, 95% CI 1.30-6.27), and frailty was associated with intellectual activity (PR 1.38, 95% CI 1.10-1.74). In the model with social networks added as a confounder, the relationship between depression or low muscle strength and higher-level functional status was not statistically significant.
CONCLUSIONS: Comorbidities of depression and low muscle strength for older patients with type 2 diabetes mellitus increase the risk of malfunctioning of higher-level functional status. Increased interactions with family, friends and neighbours may reduce this event.