Cerebellar transcranial magnetic stimulation for improving balance capacity and activity of daily living in stroke patients: a systematic review and meta-analysis.

BACKGROUND: The application of cerebellar transcranial magnetic stimulation (TMS) in stroke patients has received increasing attention due to its neuromodulation mechanisms. However, studies on the effect and safety of cerebellar TMS to improve balance capacity and activity of daily living (ADL) for stroke patients are limited. This systematic review and meta-analysis aimed to investigate the effect and safety of cerebellar TMS on balance capacity and ADL in stroke patients. METHOD: A systematic search of seven electronic databases (PubMed, Embase, Web of Science, Cochrane Central Register of Controlled Trials, China National Knowledge Infrastructure, Wanfang and Chinese Scientific Journal) were conducted from their inception to October 20, 2023. The randomized controlled trials (RCTs) of cerebellar TMS on balance capacity and/or ADL in stroke patients were enrolled. The quality of included studies were assessed by Physiotherapy Evidence Database (PEDro) scale. RESULTS: A total of 13 studies involving 542 participants were eligible. The pooled results from 8 studies with 357 participants showed that cerebellar TMS could significantly improve the post-intervention Berg balance scale (BBS) score (MD = 4.24, 95%CI = 2.19 to 6.29, P < 0.00001; heterogeneity, I2 = 74%, P = 0.0003). The pooled results from 4 studies with 173 participants showed that cerebellar TMS could significantly improve the post-intervention Time Up and Go (TUG) (MD=-1.51, 95%CI=-2.8 to -0.22, P = 0.02; heterogeneity, I2 = 0%, P = 0.41). The pooled results from 6 studies with 280 participants showed that cerebellar TMS could significantly improve the post-intervention ADL (MD = 7.75, 95%CI = 4.33 to 11.17, P < 0.00001; heterogeneity, I2 = 56%, P = 0.04). The subgroup analysis showed that cerebellar TMS could improve BBS post-intervention and ADL post-intervention for both subacute and chronic stage stroke patients. Cerebellar high frequency TMS could improve BBS post-intervention and ADL post-intervention. Cerebellar TMS could still improve BBS post-intervention and ADL post-intervention despite of different cerebellar TMS sessions (less and more than 10 TMS sessions), different total cerebellar TMS pulse per week (less and more than 4500 pulse/week), and different cerebellar TMS modes (repetitive TMS and Theta Burst Stimulation). None of the studies reported severe adverse events except mild side effects in three studies. CONCLUSIONS: Cerebellar TMS is an effective and safe technique for improving balance capacity and ADL in stroke patients. Further larger-sample, higher-quality, and longer follow-up RCTs are needed to explore the more reliable evidence of cerebellar TMS in the balance capacity and ADL, and clarify potential mechanisms.

The relation between cognitive functioning and activities of daily living in normal aging, mild cognitive impairment, and dementia: a meta-analysis.

Literature suggests that dementia and, more generally, cognitive impairment affect the capacity to carry out activities of daily living (ADL) in aging. However, it is important to decipher the weight of specific cognitive domains and neurodegenerative profiles mainly related to ADL difficulties. A meta-analysis was conducted to investigate the nature and strength of the association between cognitive functioning and ADL in healthy older adults, mild cognitive impairment (MCI), and dementia. A comprehensive search of the PubMed, PsycINFO (PROQUEST), and Scopus databases for cross-sectional or longitudinal studies up until December 2022. Our meta-analytic results revealed that: overall, instrumental ADL (IADL) showed a significant association with executive functioning, in particular, abstraction ability/concept formation, set-shifting, and processing speed/complex attention/working memory, regardless of type of participants (i.e., healthy older adults, MCI, and dementia); whereas ADL (both basic ADL, BADL, and IADL) significantly correlated with global cognitive functioning and long-term verbal memory, with a moderator effect of clinical condition (e.g., increasing ES based on the level of cognitive impairment). Moreover, visuospatial and language abilities significantly correlated with ADL, mainly when performance-based tasks were used for ADL assessment. These findings emphasize the importance of neuropsychological assessment in aging to early identify people most at risk of functional decline and shed light on the need to consider specific cognitive abilities in rehabilitation programs.

Social and physical environment effects on toileting disability among older adults in India.

BACKGROUND: To examine the prevalence of toileting disability among older adults in India and its association with broad aspects of the physical and social environment. METHODS: We use data from the inaugural wave of the Longitudinal Ageing Study in India and focus on adults aged 65 and older (N = 20,789). We draw on the disablement process model and existing frameworks to identify environmental factors and other risk factors that may be associated with toileting disability. Hierarchical logistic regressions are implemented to analyze the health impacts from physical and social environment characteristics. RESULTS: One in five older Indian adults had difficulties with toileting, and the prevalence rate of this functional disability varied across sub-national regions. We find that low neighborhood trust was associated with an increased likelihood of toileting disability, as was the use of assistive mobility devices. The negative effects of these social and external environment characteristics hold when we stratified the sample by rural and urban residency. Also, older adults in urban areas without access to toilets and using shared latrines had higher odds of being disabled in terms of toileting. Other factors important in explaining toileting disability among older adults included poor self-rated health, arthritis, currently working, living in the East or West region, and having functional limitations. CONCLUSIONS: Poor person-environment fit can compromise older adults' ability to perform self-care tasks. Policymakers need to look beyond the physical environment (e.g., dedicating resources to construct toilet facilities) to adopt a more holistic, multi-faceted approach in their sanitation policies. Improving the safety of neighborhood surroundings in which shared latrines are located and the availability of accessible toilets that cater to those with mobility impairments can help improve independence in toileting among older adults.

A simple scoring algorithm based on intrinsic capacity for functional ability in community-dwelling older adults in Taiwan.

BACKGROUND: Intrinsic capacity (IC) is a comprehensive indicator of the overall well-being of older adults, and assessing of IC can help identify early stage of disability and tailor intervention to individual needs. However, there is a lack of effective and simple IC assessment tools. This study aimed to establish predictive scoring algorithms of IC to identify older adults at high risk of impaired functional ability. METHODS: We conducted a cross-sectional study in Southern Taiwan, measuring IC using 7 subitems: cognition, locomotion, vitality, vision, hearing, psychological well-being, and medication usage were measured. Functional ability outcomes included frailty, basic activities of daily living, and instrumental activities of daily living (IADL). The capability of 7 domains of IC in predicting functional ability was assessed by multivariable logistic regression. The prediction of capability of scoring algorithms was indicated by receiver operating characteristic (AUC) curves and measures of sensitivity and specificity. RESULTS: A total of 1,152 older adults were recruited and analyzed. Locomotion emerged as a significant predictor of IADL disability and worsening frailty. The IC-based weighted scoring algorism for predicting IADL demonstrated satisfactory capability (AUC: 0.80), as did the algorithm for predicting worsening frailty (AUC: 0.90). The optimal cutoff points for predicting IADL disability and frailty worse were estimated respectively at 13 and 16, with sensitivity/specificity values of 0.74/0.75 for the IADL prediction algorithm and 0.92/0.77 for the frailty prediction algorithm. CONCLUSION: Our 7-domain IC screening tool proves to be sensitive and practical for early identification of functional disability and frailty among community-dwelling older adults in Taiwan.

Loneliness shapes disparities in healthy life expectancy: a multi-state analysis from China.

OBJECTIVES: To assess the influence of loneliness on the healthy life expectancy of older adults in China and its gender disparities across different health indicators, in order to provide insights for enhancing the health status and subjective well-being of the older population. METHOD: We conducted a cohort analysis using four waves of weighted samples (2008, 2011, 2014, and 2018) from the Chinese Longitudinal Healthy Longevity Survey, encompassing 15,507 respondents aged 65-99. Physical and subjective health were assessed through activity of daily living (ADL) and self-rated health (SRH), respectively. Utilizing loneliness status as a time-variant variable, we employed the multi-state interpolated Markov Chain to explore the associations between loneliness and age-specific life expectancy (LE), healthy life expectancy (HLE), and the proportion of healthy life expectancy in life expectancy (HLE/LE). RESULTS: Compared to the non-lonely population, both LE and HLE were lower among lonely individuals. Regarding gender differences, the HLE/LE for females in the lonely population was consistently lower than that for males. The impact of loneliness on the health of older adults varied by measurement indicators and gender. Specifically, based on ADL results, the decline in HLE/LE was greater for females, with a decline of 53.6% for lonely females compared to 51.7% for non-lonely females between the ages of 65 and 99. For males, the decline was 51.4% for lonely males and 51.5% for non-lonely males. According to SRH, the gender difference in the decline of HLE/LE due to loneliness was less apparent. For males, the change in HLE/LE for non-lonely individuals was 3.4%, compared to 4.2% for lonely individuals, whereas for females, the change was 3.7% for non-lonely individuals and 4.4% for lonely individuals. CONCLUSION: Loneliness exerts varied effects on health across different measurement indicators and gender demographics. Targeted health promotion interventions are imperative to mitigate these negative impacts, particularly emphasizing the enhancement of subjective well-being and physical functioning, especially among older adult females.

A Statistical Approach for Functional Reach-to-Grasp Segmentation Using a Single Inertial Measurement Unit.

The aim of this contribution is to present a segmentation method for the identification of voluntary movements from inertial data acquired through a single inertial measurement unit placed on the subject's wrist. Inertial data were recorded from 25 healthy subjects while performing 75 consecutive reach-to-grasp movements. The approach herein presented, called DynAMoS, is based on an adaptive thresholding step on the angular velocity norm, followed by a statistics-based post-processing on the movement duration distribution. Post-processing aims at reducing the number of erroneous transitions in the movement segmentation. We assessed the segmentation quality of this method using a stereophotogrammetric system as the gold standard. Two popular methods already presented in the literature were compared to DynAMoS in terms of the number of movements identified, onset and offset mean absolute errors, and movement duration. Moreover, we analyzed the sub-phase durations of the drinking movement to further characterize the task. The results show that the proposed method performs significantly better than the two state-of-the-art approaches (i.e., percentage of erroneous movements = 3%; onset and offset mean absolute error < 0.08 s), suggesting that DynAMoS could make more effective home monitoring applications for assessing the motion improvements of patients following domicile rehabilitation protocols.

How shoulder immobilization after surgery influences daily activity - a prospective pedometer-based study.

PURPOSE: Immobilization, especially of the lower extremity, after orthopaedic surgery has been associated with reduced physical activity. Previous interventions from our study group showed even in young, healthy people reduced activity levels after immobilization of the shoulder. Therefore, this study investigates the change in physical activity due to shoulder immobilization after a reconstructive surgery. METHODS: This prospective study includes 40 patients undergoing surgery from May 2019 to December 2020. Daily activity was measured before surgery, after discharge and three weeks postoperatively each time for six days. Activity including step counts and active time were measured by Fitbit™ inspire. Range of motion before and after surgery as well as Pain (VAS) were documented. RESULTS: Steps became significantly less immediately postoperatively with an immobilized shoulder joint than before surgery (9728.8 vs. 6022.6, p < 0.05). At follow-up, the number of steps increased again, but still showed a significantly lower number of steps (mean 8833.2) compared to preoperative. Patients preoperatively showed mostly an "active" activity pattern, whereas postoperatively a "low active" behaviour predominated. The proportion of sedentary behaviour ("basal activity" and "limited activity") was almost three times higher postoperatively (12.5% vs. 30%). CONCLUSION: General physical activity is restricted during upper limb immobilization in adults. Therefore, activity-enhancing measures should be implemented in the early phase of rehabilitation after upper extremity surgery.

The Association of nutritional status and physical activity on osteoporotic refractures among older adults.

BACKGROUND: This paper focuses on revealing the relationship between the Geriatric Nutritional Risk Index (GNRI) and Activity of Daily Living (ADL) with osteoporotic refracture. METHODS: Data from 1068 inpatients with osteoporotic fractures were analyzed. Binary logistic regression, Cox proportional hazard regression and Kaplan-Meier curves were performed for osteoporosis characteristics and its risk factors. Receiver operating characteristic (ROC) curve was developed to predict the cut-off value. RESULTS: The study showed that older age, lower ADL and lower GNRI were independent risk factors for osteoporotic fracture with OR of 1.039, 0.946, 0.892 and HR of 1.033, 0.967, 0.947 respectively. According to the results of ROC, the predictive accuracy of GNRI was high with an area under ROC (AUC) of 0.715, sensitivity of 76.6%, specificity of 53.5% and a threshold value of 99.65. CONCLUSION: Older age, lower ADL and lower GNRI were independent risk factors for osteoporotic refracture.

Influence of caregiver understanding of their capability to perform activities of daily living, disease comprehension, and attitudes on occupational low back pain: a cross-sectional study.

[Purpose] The aim in this study was to evaluate the impact of caregiver understanding of their ability to perform activities of daily living (ADLs), movement abilities, diseases, and attitudes on the prevalence of occupational low back pain. [Participants and Methods] A cross-sectional survey was conducted of caregivers of older adults living in residential care facilities. Of the 150 questionnaires distributed, 71 were valid. The survey collected data on demographics, low back pain status using a numerical rating scale, and familiarity with ten ADLs and five diseases (stroke, rheumatoid arthritis, fractures, Parkinson's disease, and dementia). [Results] In this study, 52% of the participants reported lower back pain. Significant factors included an understanding of repositioning in ADLs, familiarity with stroke and rheumatoid arthritis, and attitudes toward using patients' residual functions. Participants with limited knowledge of repositioning and stroke, a better understanding of rheumatoid arthritis, and those who did not consider residual function were more prone to lower back pain. [Conclusion] Our findings highlight the importance of enhancing caregiver education on ADL movements and disease specifics, particularly stroke and rheumatoid arthritis, and promoting the use of patients' residual capabilities. Improved training and information sharing among caregivers may reduce the risk of occupational low back pain.

The relationship between sleep status and activity of daily living: based on China Hainan centenarians cohort study.

OBJECTIVE: This study, based on the China Hainan Centenarians Cohort Study (CHCCS), aims to comprehensively describe the characteristic of daytime, night and total sleep duration, sleep quality and different sleep mode of Hainan centenarians and their associations with activity of daily living (ADL) functions. METHOD: The baseline data of CHCCS was used. ADL function was evaluated the Bathel index, sleep quality was evaluated by Pittsburgh sleep quality index (PSQI), sleep status including daytime, night and total sleep duration as well as sleep quality and sleep mode. Multivariate logistic regression model was used to explore the association between sleep status and ADL disability and ADL moderate & severe disability. RESULTS: A total of 994 centenarians were included in this study with the age range 100-116 years old. Compared with the centenarians who sleep 6-9 h at night and < 2 h in the daytime, the adjusted OR between sleep > 9 h at night and sleep ≥ 2 h in the daytime and ADL disability was 2.93 (95% CI: 1.02-8.44), and adjusted OR of ADL moderate & severe disability was 2.75 (95% CI: 1.56-4.83). Compared with centenarians who sleep for 7-9 h and have good sleep quality, centenarians who sleep for > 9 h and have poor sleep quality have an increased risk of ADL moderate & severe disability (OR = 3.72, 95% CI: 1.54-9.00). CONCLUSION: Relation between sleep duration and ADL disability was more significant compared with sleep quality in Hainan centenarians. Poor sleep quality can aggravate the relationship between sleep duration and ADL moderate & severe disability.

A single-center prospective study regarding time to return to activities of daily living after craniotomy for brain tumors.

BACKGROUND: There are few studies on the time to return to activities of daily living (ADL) after craniotomy in patients with brain tumors. This study aimed to investigate the duration before returning to ADLs after craniotomy for brain tumors and present data that can provide information and guidelines on the appropriate time needed. METHODS: Patients (n = 183 of 234) who underwent craniotomy for brain tumors between April 2021 and July 2021 capable of self-care upon discharge were enrolled, and data of 158 were collected. The start time of 85 ADL items was prospectively investigated for 4 months postoperatively, using the self-recording sheet. RESULTS: Over 89% and 87% of the patients performed basic ADL items within a month and instrumental ADL items within 2 months (medians: within 18 days), except for a few. Regarding work, 50% of the patients returned within 4 months. Washing hair with a wound was performed at 18 days of median value, after 4 months of dyeing/perming hair, 6 days of drinking coffee/tea, after 4 months of air travel, and 40 days of complementary and alternative medicine. In patients with infratentorial tumors or surgical problems, return times were much later for various items. CONCLUSIONS: It is possible to provide practical information and guidelines on the duration to return to ADL after craniotomy in brain tumor patients. These study findings also reduce uncertainty about recovery and daily life and help patients return to their daily life at the appropriate time, thereby maintaining function and daily well-being after surgery.

Using Smart Home Technologies to Promote Physical Activity Among the General and Aging Populations: Scoping Review.

BACKGROUND: Health-monitoring smart homes are becoming popular, with experts arguing that 9-to-5 health care services might soon become a thing of the past. However, no review has explored the landscape of smart home technologies that aim to promote physical activity and independent living among a wide range of age groups. OBJECTIVE: This review aims to map published studies on smart home technologies aimed at promoting physical activity among the general and aging populations to unveil the state of the art, its potential, and the research gaps and opportunities. METHODS: Articles were retrieved from 6 databases (PubMed, CINAHL, Scopus, IEEE Xplore, ACM Library, and Web of Science). The criteria for inclusion were that the articles must be user studies that dealt with smart home or Active Assisted Living technologies and physical activity, were written in English, and were published in peer-reviewed journals. In total, 3 researchers independently and collaboratively assessed the eligibility of the retrieved articles and elicited the relevant data and findings using tables and charts. RESULTS: This review synthesized 20 articles that met the inclusion criteria, 70% (14/20) of which were conducted between 2018 and 2020. Three-quarters of the studies (15/20, 75%) were conducted in Western countries, with the United States accounting for 25% (5/20). Activities of daily living were the most studied (9/20, 45%), followed by physical activity (6/20, 30%), therapeutic exercise (4/20, 20%), and bodyweight exercise (1/20, 5%). K-nearest neighbor and naïve Bayes classifier were the most used machine learning algorithms for activity recognition, with at least 10% (2/20) of the studies using either algorithm. Ambient and wearable technologies were equally studied (8/20, 40% each), followed by robots (3/20, 15%). Activity recognition was the most common goal of the evaluated smart home technologies, with 55% (11/20) of the studies reporting it, followed by activity monitoring (7/20, 35%). Most studies (8/20, 40%) were conducted in a laboratory setting. Moreover, 25% (5/20) and 10% (2/20) were conducted in a home and hospital setting, respectively. Finally, 75% (15/20) had a positive outcome, 15% (3/20) had a mixed outcome, and 10% (2/20) had an indeterminate outcome. CONCLUSIONS: Our results suggest that smart home technologies, especially digital personal assistants, coaches, and robots, are effective in promoting physical activity among the young population. Although only few studies were identified among the older population, smart home technologies hold bright prospects in assisting and aiding older people to age in place and function independently, especially in Western countries, where there are shortages of long-term care workers. Hence, there is a need to do more work (eg, cross-cultural studies and randomized controlled trials) among the growing aging population on the effectiveness and acceptance of smart home technologies that aim to promote physical activity.

Efficacy of virtual reality training on motor performance, activity of daily living, and quality of life in patients with Parkinson's disease: an umbrella review comprising meta-analyses of randomized controlled trials.

OBJECTIVE: There are several meta-analyses of randomized controlled trials (RCTs) demonstrating the benefits of virtual reality (VR) training as an intervention for motor performance, activity of daily living (ADL) and quality of life (QoL) outcomes in patients with Parkinson's disease (PD). However, the aggregate evidence collected to date has not been thoroughly evaluated for strength, quality, and reproducibility. An umbrella review from published meta-analyses of RCTs was conducted to evaluate the strength and quality of existing evidence regarding the efficacy of VR training in improving the motor performance, ADL and QoL outcomes of patients with PD. METHODS: PubMed, PsychInfo, Web of Science, and Scopus were searched to identify relevant meta-analysis of RCTs examining the effects of VR training on motor performance and quality of life outcomes in PD patients. We recalculated the effect sizes (Hedges'g) for VR training using DerSimonian and Laird (DL) random effects models. We further assessed between-study heterogeneity, prediction interval (PI), publication bias, small-size studies, and whether the results of the observed positive studies were better than would be expected by chance. Based on these calculations, the quality of evidence for each outcome was assessed by using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) criteria. RESULTS: Four meta-analysis with eight outcomes included in the umbrella review was recalculated effect size. Pooled results found VR training can large improve the basic balance ability, moderate improve the overall balance capacity and moderate improve the stride length in PD patients. For ADL and QoL, the effect sizes were pooled that suggested VR training can moderate improve ADL and QoL for PD patients. However, no statistically clear evidence was found in walking speed, motor function and gait function during VR training. The analyzed meta-analyses showed low-to-moderate methodological quality (AMSTAR2) as well as presented evidence of moderate-to-very low quality (GRADE). Tow adverse reactions were reported in the included meta-analyses. CONCLUSIONS: In this umbrella review, a beneficial correlation between VR and balance ability, stride length, ADL and QoL in PD patients was discovered, especially for the very positive effect of VR on balance because of two of the eight outcomes related to balance ability showed large effect size. The observations were accompanied by moderate- to very low-quality rating evidence, supporting VR training as a practical approach to rehabilitation.

Recognizing Human Activity of Daily Living Using a Flexible Wearable for 3D Spine Pose Tracking.

The World Health Organization recognizes physical activity as an influencing domain on quality of life. Monitoring, evaluating, and supervising it by wearable devices can contribute to the early detection and progress assessment of diseases such as Alzheimer's, rehabilitation, and exercises in telehealth, as well as abrupt events such as a fall. In this work, we use a non-invasive and non-intrusive flexible wearable device for 3D spine pose measurement to monitor and classify physical activity. We develop a comprehensive protocol that consists of 10 indoor, 4 outdoor, and 8 transition states activities in three categories of static, dynamic, and transition in order to evaluate the applicability of the flexible wearable device in human activity recognition. We implement and compare the performance of three neural networks: long short-term memory (LSTM), convolutional neural network (CNN), and a hybrid model (CNN-LSTM). For ground truth, we use an accelerometer and strips data. LSTM reached an overall classification accuracy of 98% for all activities. The CNN model with accelerometer data delivered better performance in lying down (100%), static (standing = 82%, sitting = 75%), and dynamic (walking = 100%, running = 100%) positions. Data fusion improved the outputs in standing (92%) and sitting (94%), while LSTM with the strips data yielded a better performance in bending-related activities (bending forward = 49%, bending backward = 88%, bending right = 92%, and bending left = 100%), the combination of data fusion and principle components analysis further strengthened the output (bending forward = 100%, bending backward = 89%, bending right = 100%, and bending left = 100%). Moreover, the LSTM model detected the first transition state that is similar to fall with the accuracy of 84%. The results show that the wearable device can be used in a daily routine for activity monitoring, recognition, and exercise supervision, but still needs further improvement for fall detection.

Sound of Daily Living Identification Based on Hierarchical Situation Audition.

One of the key objectives in developing IoT applications is to automatically detect and identify human activities of daily living (ADLs). Mobile phone users are becoming more accepting of sharing data captured by various built-in sensors. Sounds detected by smartphones are processed in this work. We present a hierarchical identification system to recognize ADLs by detecting and identifying certain sounds taking place in a complex audio situation (AS). Three major categories of sound are discriminated in terms of signal duration. These are persistent background noise (PBN), non-impulsive long sounds (NILS), and impulsive sound (IS). We first analyze audio signals in a situation-aware manner and then map the sounds of daily living (SDLs) to ADLs. A new hierarchical audible event (AE) recognition approach is proposed that classifies atomic audible actions (AAs), then computes pre-classified portions of atomic AAs energy in one AE session, and finally marks the maximum-likelihood ADL label as the outcome. Our experiments demonstrate that the proposed hierarchical methodology is effective in recognizing SDLs and, thus, also in detecting ADLs with a remarkable performance for other known baseline systems.

Non-invasive brain stimulation for limb motor function and daily living activity improvement in acute stroke: A meta-analysis.

OBJECTIVE: To evaluate the effect of non-invasive brain stimulation (NIBS) in improving limb motor dysfunction and daily living activity during at the phase of acute stroke. MATERIALS AND METHODS: Randomized controlled trials about the effect of NIBS on hemiparesis in acute stroke were retrieved from databases of China National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (VIP), Wanfang Data, CBM, PubMed, Embase, Cochrane Library, and Web of Science from inception until January 3rd 2022. The quality of the trials was assessed, and the data were extracted according to the Cochrane Handbook for Systematic Reviews of Interventions. A statistical analysis was carried out using Review Manager 5.3 and STATA 14. The effect size was evaluated by using the weighed mean difference (WMD) and a 95% confidence interval (CI). The stability and sensitivity of the results and sources of heterogeneity were also analyzed. RESULTS: 12 studies involving 639 patients were included. Our meta-analysis showed that NIBS could improve the Fugl-Meyer Assessment (weighed mean difference = 3.96, 95% confidence interval = 3.45 to 4.48) and Barthel Index (weighed mean difference = 12.29, 95% confidence interval = 4.93 to 19.66), while reducing the National Institutes of Health Stroke Scale (weighed mean difference = -2.37, 95% confidence interval = -3.43 to -1.31). CONCLUSION: NIBS is effective in improving paretic limb motor function and activities of daily living in patients during at the phase of acute stroke.

Trends in the use of home care services among Norwegians 70+ and projections towards 2050: The HUNT study 1995-2017.

BACKGROUND: Life expectancy (LE) is increasing worldwide, while there is lack of information on how this affects older individuals' use of formal home care services. AIM: We aimed to decompose LE into years with and without home care services and estimate projected number of users towards 2050 in Norway for people 70 years or older. METHODS: This study is based on a sample of 25,536 participants aged 70 years and older in the Trøndelag Health Study (HUNT) survey 2 (1995-1997), 3 (2006-2008), or 4 (2017-2019) linked with national data on mortality. Prevalence of home care services was standardised to the Norwegian population by age and sex. The Sullivan method was used to estimate expected years with and without home help services and nursing services for the years 1995, 2006 and 2016. Data from HUNT4 and Statistics Norway were used to estimate projected use of these services between 2020 and 2050. RESULTS: During 1995-2017, the use of home help services decreased from 22.6% to 6.2% (p < 0.001), and from 6.4% to 5.5% (p = 0.004) for home nursing services. Adjusted for age and sex, the use of home help services decreased significantly over time (p < 0.001), while home nursing services were stable (p = 0.69). LE at age 70 increased from 11.9 to 15.3 years in men (p < 0.05) during 1995-2017, and from 14.7 to 17.1 in women (p < 0.05). In the same period, the expected years receiving home help decreased from 2.6 to 1.1 in men (p < 0.05), and from 4.4 to 2.1 in women (p < 0.05). The expected years receiving home nursing increased from 0.6 to 0.9 in men (p < 0.05), and from 1.3 to 1.7 in women (p < 0.05). Projected numbers of people 70+ in Norway in need of either of these services were estimated to rise from 64,000 in 2020 to 160,000 in 2050. CONCLUSION: While overall life expectancy increased, the expected years receiving home help have decreased and home nursing slightly increased among the Norwegian population aged 70 years and older during 1995-2017. However, the substantial increase in the projected number of older adults using home care services in the future is an alert for the current health care planners.

Effects Of Core Strengthening And Proprioceptive Neuromuscular Facilitation Technique On The Barthel Index And Balance In Patients With Hemiplegic Stroke: A Quasi-Experimental Study.

OBJECTIVE: To determine the effectiveness of core strengthening exercises and proprioceptive neuromuscular facilitation techniques on functional performance and balance among patients with hemiplegic stroke. METHODS: The quasi-experimental study was conducted from March to August 2021 at Imran Idrees Hospital, Sialkot, Pakistan, and comprised stroke patients of either gender who were divided into proprioceptive neuromuscular facilitation group A and core strengthening group B. In both groups, the treatment was given for 6 weeks with 5 30-minute sessions per week. Functional performance and balance were measured using Barthel Index and Berg Balance Scale. Data were collected at baseline, 3 weeks and 6 weeks. Data was analysed using SPSS 22. RESULTS: Of the 48 patients, 24(50%) were in each of the 2 groups. There were 39 (81.25%) male and 9(18.75%) female subjects with an overall mean age of 45±4.919 years. Mean Barthel Index score in group A was 62.50±7.22 at baseline and 74.79±7.14 after 6 weeks. Mean Berg Balance Score was 25.04±2.15 at baseline and 41.66±6.04 after 6 weeks (p<0.05). In group B, Barthel Index score was 61.45±6.33 at baseline and 80.83±7.61 after 6 weeks. Mean Berg Balance score was 25.33±3.38 at baseline and 47.08±5.99 after 6 weeks (p<0.05). There was a significant difference in group B scores compared to group A (p<0.01). CONCLUSIONS: Core strengthening programme was more effective than the proprioceptive neuromuscular facilitation programme in terms of activity of daily living and balance in patients with stroke.

The path linking excessive daytime sleepiness and activity of daily living in Parkinson's disease: the longitudinal mediation effect of autonomic dysfunction.

BACKGROUND: Excessive daytime sleepiness (EDS) and autonomic dysfunction have been verified to impair activity of daily living (ADL) in patients with Parkinson's disease (PD). Whether EDS can affect ADL in PD patients through autonomic dysfunction is still unclear. The purpose of this study is to explore the longitudinal mediation effect of autonomic dysfunction between EDS and ADL. METHODS: Data used in this study were from six-follow-up visits of 413 patients with newly diagnosed PD from the Parkinson's Progression Markers Initiative (PPMI). We used latent growth mediation modeling (LGMM) to explore whether the autonomic dysfunction is a longitudinal mediator between EDS and ADL. RESULTS: The results showed that as the disease progresses, EDS (P < 0.001) and autonomic dysfunction (P < 0.001) gradually worsened and ADL (P < 0.001) gradually decreased in PD patients. In addition, the more severe the patients' EDS symptom, the more worsened the symptoms of autonomic dysfunction, which result in a decrease in ADL. Both the intercept (95% CI: 0.142, 0.308) and the slope (95% CI: 0.083, 0.331) of autonomic dysfunction showed a partial mediating effect, and a longitudinal mediation effect was presented. CONCLUSION: Longitudinal changes in EDS affect the ADL of PD patients directly or indirectly by affecting the symptoms of autonomic dysfunction. Controlling the symptoms of autonomic dysfunction may improve the ADL of PD patients with EDS.

Functional decline, long term symptoms and course of frailty at 3-months follow-up in COVID-19 older survivors, a prospective observational cohort study.

BACKGROUND: Aging is one of the most important prognostic factors increasing the risk of clinical severity and mortality of COVID-19 infection. However, among patients over 75 years, little is known about post-acute functional decline. OBJECTIVE: The aim of this study was to identify factors associated with functional decline 3 months after COVID-19 onset, to identify long term COVID-19 symptoms and transitions between frailty statesafter COVID-19 onset in older hospitalized patients. METHODS: This prospective observational study included COVID-19 patients consecutively hospitalized from March to December 2020 in Acute Geriatric Ward in Nantes University Hospital. Functional decline, frailty status and long term symptoms were assessed at 3 month follow up. Functional status was assessed using the Activities of Daily Living simplified scale (ADL). Frailty status was evaluated using Clinical Frailty Scale (CFS). We performed multivariable analyses to identify factors associated with functional decline. RESULTS: Among the 318 patients hospitalized for COVID-19 infection, 198 were alive 3 months after discharge. At 3 months, functional decline occurred in 69 (36%) patients. In multivariable analysis, a significant association was found between functional decline and stroke (OR = 4,57, p = 0,003), history of depressive disorder (OR = 3,05, p = 0,016), complications (OR = 2,24, p = 0,039), length of stay (OR = 1,05, p = 0,025) and age (OR = 1,08, p = 0,028). At 3 months, 75 patients described long-term symptoms (49.0%). Of those with frailty (CFS scores ≥5) at 3-months follow-up, 30% were not frail at baseline. Increasing frailty defined by a worse CFS state between baseline and 3 months occurred in 41 patients (26.8%). CONCLUSIONS: This study provides evidence that both the severity of the COVID-19 infection and preexisting medical conditions correlates with a functional decline at distance of the infection. This encourages practitioners to establish discharge personalized care plan based on a multidimensional geriatric assessment and in parallel on clinical severity evaluation.