Moderating Effects of Informal Care on the Relationship Between ADL Limitations and Adverse Outcomes in Stroke Survivors.

BACKGROUND: Stroke survivors with limitations in activities of daily living (ADL) have a greater risk of experiencing falls, hospitalizations, or physical function decline. We examined how informal caregiving received in hours per week by stroke survivors moderated the relationship between ADL limitations and adverse outcomes. METHODS: In this retrospective cohort, community-dwelling participants were extracted from the National Health and Aging Trends Study (2011-2020; n=277) and included if they had at least 1 formal or informal caregiver and reported an incident stroke in the prior year. Participants reported the amount of informal caregiving received in the month prior (low [<5.8], moderate [5.8-27.1], and high [27.2-350.4] hours per week) and their number of ADL limitations (ranging from 0 to 7). Participants were surveyed 1 year later to determine the number of adverse outcomes (ie, falls, hospitalizations, and physical function decline) experienced over the year. Poisson regression coefficients were converted to average marginal effects and estimated the moderating effects of informal caregiving hours per week on the relationship between ADL limitations and adverse outcomes. RESULTS: Stroke survivors were 69.7% White, 54.5% female, with an average age of 80.5 (SD, 7.6) years and 1.2 adverse outcomes at 2 years after the incident stroke. The relationships between informal caregiving hours and adverse outcomes and between ADL limitations and adverse outcomes were positive. The interaction between informal caregiving hours per week and ADL limitations indicated that those who received the lowest amount of informal caregiving had a rate of 0.12 more adverse outcomes per ADL (average marginal effect, 0.12 [95% CI, 0.005-0.23]; P=0.041) than those who received the highest amounts. CONCLUSIONS: Informal caregiving hours moderated the relationship between ADL limitations and adverse outcomes in this sample of community-based stroke survivors. Higher amounts relative to lower amounts of informal caregiving hours per week may be protective by decreasing the rate of adverse outcomes per ADL limitation.

A Segmented Regression Analysis of Household Income and Recurrent Falls Among Adults in a National Cohort Study.

Falls can have life-altering consequences for older adults, including extended recovery periods and compromised independence. Higher household income may mitigate the risk of falls by providing financial resources for mobility tools, remediation of environmental hazards, and needed supports, or it may buffer the impact of an initial fall on subsequent risk through improved assistance and care. Household income has not had a consistently observed association with falls in older adults; however, a segmented association may exist such that associations are attenuated above a certain income threshold. In this study, we utilized segmented negative binomial regression analysis to examine the association between household income and recurrent falls among 2,302 participants in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study recruited between 2003 and 2007. Income-fall association segments separated by changes in slope were considered. Model results indicated a 2-segment association between household income and recurrent falls in the past year. In the range below the breakpoint, household income was negatively associated with the rate of recurrent falls across all age groups examined; in a higher income range (from $20,000-$49,999 to ≥$150,000), the association was attenuated (weaker negative trend) or reversed (positive trend). These findings point to potential benefits of ensuring that incomes for lower-income adults exceed the threshold needed to confer a reduced risk of recurrent falls.

A custom-built step exergame training programme to prevent falls in people with multiple sclerosis: A multicentre randomised controlled trial.

BACKGROUND: Cognitive-motor step training can improve stepping, balance and mobility in people with multiple sclerosis (MS), but effectiveness in preventing falls has not been demonstrated. OBJECTIVES: This multisite randomised controlled trial aimed to determine whether 6 months of home-based step exergame training could reduce falls and improve associated risk factors compared with usual care in people with MS. METHODS: In total, 461 people with MS aged 22-81 years were randomly allocated to usual care (control) or unsupervised home-based step exergame training (120 minutes/week) for 6 months. The primary outcome was rate of falls over 6 months from randomisation. Secondary outcomes included physical, cognitive and psychosocial function at 6 months and falls over 12 months. RESULTS: Mean (standard deviation (SD)) weekly training duration was 70 (51) minutes over 6 months. Fall rates did not differ between intervention and control groups (incidence rates (95% confidence interval (CI)): 2.13 (1.57-2.69) versus 2.24 (1.35-3.13), respectively, incidence rate ratio: 0.96 (95% CI: 0.69-1.34, p = 0.816)). Intervention participants performed faster in tests of choice-stepping reaction time at 6 months. No serious training-related adverse events were reported. CONCLUSION: The step exergame training programme did not reduce falls among people with MS. However, it significantly improved choice-stepping reaction time which is critical to ambulate safely in daily life environment.

Topic evolution before fall incidents in new fallers through natural language processing of general practitioners' clinical notes.

BACKGROUND: Falls involve dynamic risk factors that change over time, but most studies on fall-risk factors are cross-sectional and do not capture this temporal aspect. The longitudinal clinical notes within electronic health records (EHR) provide an opportunity to analyse fall risk factor trajectories through Natural Language Processing techniques, specifically dynamic topic modelling (DTM). This study aims to uncover fall-related topics for new fallers and track their evolving trends leading up to falls. METHODS: This case-cohort study utilised primary care EHR data covering information on older adults between 2016 and 2019. Cases were individuals who fell in 2019 but had no falls in the preceding three years (2016-18). The control group was randomly sampled individuals, with similar size to the cases group, who did not endure falls during the whole study follow-up period. We applied DTM on the clinical notes collected between 2016 and 2018. We compared the trend lines of the case and control groups using the slopes, which indicate direction and steepness of the change over time. RESULTS: A total of 2,384 fallers (cases) and an equal number of controls were included. We identified 25 topics that showed significant differences in trends between the case and control groups. Topics such as medications, renal care, family caregivers, hospital admission/discharge and referral/streamlining diagnostic pathways exhibited a consistent increase in steepness over time within the cases group before the occurrence of falls. CONCLUSIONS: Early recognition of health conditions demanding care is crucial for applying proactive and comprehensive multifactorial assessments that address underlying causes, ultimately reducing falls and fall-related injuries.

A systematic review of fall prediction models for community-dwelling older adults: comparison between models based on research cohorts and models based on routinely collected data.

BACKGROUND: Prediction models can identify fall-prone individuals. Prediction models can be based on either data from research cohorts (cohort-based) or routinely collected data (RCD-based). We review and compare cohort-based and RCD-based studies describing the development and/or validation of fall prediction models for community-dwelling older adults. METHODS: Medline and Embase were searched via Ovid until January 2023. We included studies describing the development or validation of multivariable prediction models of falls in older adults (60+). Both risk of bias and reporting quality were assessed using the PROBAST and TRIPOD, respectively. RESULTS: We included and reviewed 28 relevant studies, describing 30 prediction models (23 cohort-based and 7 RCD-based), and external validation of two existing models (one cohort-based and one RCD-based). The median sample sizes for cohort-based and RCD-based studies were 1365 [interquartile range (IQR) 426-2766] versus 90 441 (IQR 56 442-128 157), and the ranges of fall rates were 5.4% to 60.4% versus 1.6% to 13.1%, respectively. Discrimination performance was comparable between cohort-based and RCD-based models, with the respective area under the receiver operating characteristic curves ranging from 0.65 to 0.88 versus 0.71 to 0.81. The median number of predictors in cohort-based final models was 6 (IQR 5-11); for RCD-based models, it was 16 (IQR 11-26). All but one cohort-based model had high bias risks, primarily due to deficiencies in statistical analysis and outcome determination. CONCLUSIONS: Cohort-based models to predict falls in older adults in the community are plentiful. RCD-based models are yet in their infancy but provide comparable predictive performance with no additional data collection efforts. Future studies should focus on methodological and reporting quality.

Validation of the Saga Fall Injury Risk Model.

Background: Predicting fall injuries can mitigate the sequelae of falls and potentially utilize medical resources effectively. This study aimed to externally validate the accuracy of the Saga Fall Injury Risk Model (SFIRM), consisting of six factors including age, sex, emergency transport, medical referral letter, Bedriddenness Rank, and history of falls, assessed upon admission. Methods: This was a two-center, prospective, observational study. We included inpatients aged 20 years or older in two hospitals, an acute and a chronic care hospital, from October 2018 to September 2019. The predictive performance of the model was evaluated by calculating the area under the curve (AUC), 95% confidence interval (CI), and shrinkage coefficient of the entire study population. The minimum sample size of this study was 2,235 cases. Results: A total of 3,549 patients, with a median age of 78 years, were included in the analysis, and men accounted for 47.9% of all the patients. Among these, 35 (0.99%) had fall injuries. The performance of the SFIRM, as measured by the AUC, was 0.721 (95% CI: 0.662-0.781). The observed fall incidence closely aligned with the predicted incidence calculated using the SFIRM, with a shrinkage coefficient of 0.867. Conclusions: The external validation of the SFIRM in this two-center, prospective study showed good discrimination and calibration. This model can be easily applied upon admission and is valuable for fall injury prediction.

Low muscle strength and physical function contribute to falls in hemodialysis patients, but not muscle mass.

INTRODUCTION: Patients on hemodialysis (HD) have a higher incidence of fractures than the general population. Sarcopenia is frequently observed in patients on HD; however, the association of falls with sarcopenia and its diagnostic factors, including muscle mass, muscle strength, and physical function, are incompletely understood. METHODS: This prospective cohort study was conducted at a single center. Sarcopenia was assessed according to the 2019 Asian Working Group for Sarcopenia diagnostic criteria. Muscle mass was measured the bioelectrical impedance method. Grip strength was evaluated to assess muscle strength, while the Short Physical Performance Battery (SPPB) was used to assess physical function. Falls and their detailed information were surveyed every other week. RESULTS: This study analyzed 65 HD patients (median age, 74.5 [67.5-80.0] years; 33 women [49.2%]). Sarcopenia was diagnosed in 36 (55.4%) patients. During the 1-year observation period, 31 (47.7%) patients experienced accidental falls. The falls group had lower median grip strength than the non-falls group (14.7 [11.4-21.8] kg vs. 22.2 [17.9-27.6] kg; p < 0.001). The median SPPB score was also lower in the falls versus non-falls group (7.0 [5.0-11.0] vs. 11.0 [8.0-12.0]; p = 0.009). In adjusted multiple regression analysis, diagnostic factors, including grip strength (B = 0.96, p = 0.04, R2 = 0.19) and SPPB (B = 1.11, p = 0.006, R2 = 0.23), but not muscle mass, were independently associated with fall frequency. CONCLUSIONS: The frequency of falls in HD patients was related to muscle strength and physical function, but not muscle mass.

Examination of Risk Factors Associated With Falls and Injurious Falls in People With Multiple Sclerosis: An Updated Nationwide Study.

OBJECTIVE: To provide an update on risk factors associated with falls and injurious falls among people with multiple sclerosis (PwMS) in the United States. DESIGN: Nationwide cross-sectional web-based survey. SETTING: Community setting. PARTICIPANTS: Adult PwMS (n=965). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Participants completed self-report surveys of demographics, clinical data, concerns about falling, occurrence of falls, factors associated with falls, and injurious falls in the past 6 months. Participants also completed Patient-Reported Outcomes Measurement Information System (PROMIS) measures of depression, pain interference, and physical function, and the Fatigue Severity Scale. RESULTS: The most common self-reported factors associated with falls included personal factors such as poor balance (75%), muscle weakness (54%), and/or fatigue (35%), environmental factors such as general surface conditions (37%) and/or distraction (15%), and activities-related factors such as urgency to complete a task (35%) and/or multitasking (27%). Logistic regression analyses indicated that higher fatigue severity (OR=1.19, P<.01) and higher pain interference (OR=1.02, P<.01) were associated with higher odds of experiencing at least 1 fall. Any level of concern, even minimal concern about falling was also significantly associated with a higher odd of experiencing at least 1 fall (ORs range 2.78 - 3.95, all P<.01). Fair to very high concerns about falling compared with no concern about falling (ORs range=5.17 - 10.26, all P<.05) was significantly associated with higher odds of sustaining an injurious fall. CONCLUSIONS: Findings suggest falls prevention approaches in PwMS should be multifactorial and include personal, environmental, and activities-related factors. Particular attention on fatigue, pain, and concern about falling may be needed to reduce incidence of falls and injurious falls in this population.

Designing a Fall Prediction Model for Inpatient Rehabilitation Facilities Using Readily Available Data.

OBJECTIVE: To create a fall risk assessment tool for inpatient rehabilitation facilities (IRFs) using available data and compare its predictive accuracy with that of the Morse Fall Scale (MFS). DESIGN: We conducted a secondary analysis from a retrospective cohort study. Using a nomogram that displayed the contributions of QI codes associated with falls in a multivariable logistic regression model, we created a novel fall risk assessment, the Inpatient Rehabilitation Fall Scale (IRF Scale). To compare the predictive accuracy of the IRF Scale and MFS, we used receiver operator characteristic (ROC) curve analysis. SETTING: We included data from 4 IRFs owned and operated by Intermountain Health. PARTICIPANTS: Data came from the medical records of 1699 patients. All participants were over the age of 14 and were admitted and discharged from 1 of the 4 sites between January 1 and December 31, 2020. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE(S): We assigned point values on the IRF Scale based on the adjusted associations of QI codes with falls. Using ROC curve analysis, we discovered an optimal cutoff score, sensitivity, specificity, and overall AUC of the IRF Scale and MFS. RESULTS: ROC curve analysis revealed the optimal IRF Scale cutoff score of 22.4 yielded a sensitivity of 0.74 and a specificity of 0.63. With an AUC of 0.72, the IRF Scale demonstrated acceptable accuracy at identifying patients who fell in our retrospective cohort. CONCLUSIONS: Because the IRF Scale uses readily available data, it minimizes staff assessment and outperforms the MFS at identifying patients who previously fell. Prospective research is needed to investigate if it can adequately identify in advance which patients will fall during their IRF stay.

Chronic Pain in the Lower Extremities and Low Back is Associated With Recurrent Falls in Community-Dwelling Japanese People Aged 40-74 Years.

OBJECTIVE: To determine the longitudinal association between chronic pain in the lower extremities and low back and the odds of recurrent falls in middle-aged and older people. DESIGN: A cohort study. SETTING: Communities in Japan. PARTICIPANTS: Participants were 7540 community-dwelling volunteers aged 40-74 years (N=7540). The baseline survey was a self-administered questionnaire conducted between 2011-2013. Predictors were presence of chronic pain in the knee, foot or ankle, and low back, with the degree of pain categorized as none, very mild/mild, moderate, or severe/very severe. Covariates in the multivariate model of chronic pain in a site were demographics, body mass index, physical activity level, disease history, and chronic pain in the other 2 sites. Logistic regression analysis was used to calculate odds ratios (ORs). INTERVENTIONS: None. MAIN OUTCOME MEASURE(S): Recurrent falls in the year before the 5-year follow-up survey. RESULTS: Mean participant age was 60.2 years. Higher degrees of chronic pain were associated with higher odds of recurrent falls for the knee (P=.0002) with a higher OR of 1.48 (95% CI: 1.11-1.97), for the foot or ankle (P=.0001) with a higher OR of 1.97 (95% CI: 1.36-2.86), and for the low back (P=.0470) with a higher OR of 1.45 (95% CI: 1.09-1.91) in those with any degree of pain relative to those without pain. Higher degrees of chronic knee pain were associated with higher odds of recurrent falls in women (P=.0005), but not in men (P=.0813). Meanwhile, higher degrees of chronic low back pain were associated with the odds of recurrent falls in men (P=.0065), but not in women (P=.8735). CONCLUSIONS: Chronic pain in the knee, foot or ankle, and lower back was independently and dose-dependently associated with a higher risk of recurrent falls. A marked sex-dependent difference was also noted in the association.

Relations Between Self-Reported Prescription Hydrocodone, Oxycodone, and Tramadol Use and Unintentional Injuries Among Those With Spinal Cord Injury.

OBJECTIVE: To identify the relations of 3 frequently used prescription opioids (hydrocodone, oxycodone, tramadol) with unintentional injuries, including fall-related and non-fall-related injuries among adults with chronic, traumatic spinal cord injury (SCI). DESIGN: Cross-sectional cohort study. SETTING: Community setting; Southeastern United States. PARTICIPANTS: Adult participants (N=918) with chronic traumatic SCI were identified from a specialty hospital and state population-based registry and completed a self-report assessment. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Self-reported fall-related and non-fall-related unintentional injuries serious enough to receive medical care in a clinic, emergency room, or hospital within the previous 12 months. RESULTS: Just over 20% of participants reported ≥1 unintentional injury in the past year, with an average of 2.16 among those with ≥1. Overall, 9.6% reported fall-related injuries. Only hydrocodone was associated with any past-year unintentional injuries. Hydrocodone taken occasionally (no more than monthly) or regularly (weekly or daily) was related to 2.63 (95% confidence interval [CI], 1.52-4.56) or 2.03 (95% CI, 1.15-3.60) greater odds of having ≥1 unintentional injury in the past year, respectively. Hydrocodone taken occasionally was also associated with past-year non-fall-related injuries (OR, 2.20; 95% CI, 1.12-4.31). Each of the 3 opioids was significantly related to fall-related injuries. Taking hydrocodone occasionally was associated with 2.39 greater odds of fall-related injuries, and regular use was associated with 2.31 greater odds. Regular use of oxycodone was associated with 2.44 odds of a fall-related injury (95% CI, 1.20-4.98), and regular use of tramadol was associated with 2.59 greater odds of fall-related injury (95% CI, 1.13-5.90). CONCLUSIONS: Injury prevention efforts must consider the potential effect of opioid use, particularly hydrocodone. For preventing fall-related injuries, each of the 3 opioids must be considered.

Risk factors for falls among hospitalized medical patients - A systematic review and meta-analysis.

OBJECTIVE: To identify and quantify risk factors for in-hospital falls in medical patients. DATA SOURCES: Six databases (MEDLINE, Embase, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, CINAHL, and Google Scholar) were systematically screened until April 11, 2023, to identify relevant articles. STUDY SELECTION: All titles and abstracts of the retrieved articles were independently screened by two researchers who also read the full texts of the remaining articles. Quantitative studies that assessed risk factors for falls among adult patients acutely hospitalized were included in the review. Publications that did not capture internal medicine patients or focused on other specific populations were excluded. DATA EXTRACTION: Information on study characteristics and potential risk factors were systematically extracted. Risk of bias was assessed using the Quality in Prognosis Studies (QUIPS) tool. PRISMA and MOOSE guidelines were followed for reporting. DATA SYNTHESIS: The main outcome was any in-hospital falls. Using a random-effects meta-analysis model, association measures for each risk factor reported in five or more studies were pooled. Separate analyses according to effect measure and studies adjusted for sex and age at least were performed. Of 5,067 records retrieved, 119 original publications from 25 countries were included. In conclusion, 23 potential risk factors were meta-analyzed. Strong evidence with large effect sizes was found for a history of falls (OR 2.54; 95% CI 1.63- 3.96; I2 91%), antidepressants (pooled OR 2.25; 95% confidence interval [95% CI] 1.92-2.65; I2 0%), benzodiazepines (OR 1.97; 95% CI 1.68-2.31; I2 0%), hypnotics-sedatives (OR 1.90; 95% CI 1.53-2.36; I2 46%), and antipsychotics (OR 1.61; 95% CI 1.33-1.95; I2 0%). Furthermore, evidence of associations with male sex (OR 1.22, 95% CI 0.99-1.50, I2 65%) and age (OR 1.17, 95% CI 1.02-1.35, I2 72%) were found, but effect sizes were small. CONCLUSIONS: The comprehensive list of risk factors, which specifies the strength of evidence and effect sizes, could assist in the prioritization of preventive measures and interventions.

Identifying determinants for falls among Iranian older adults: insights from the Bushehr Elderly Health Program.

BACKGROUND: Falls are a common cause of fractures in older adults. This study aimed to investigate the factors associated with spontaneous falls among people aged ≥ 60 years in southern Iran. METHODS: The baseline data of 2,426 samples from the second stage of the first phase of a prospective cohort, the Bushehr Elderly Health (BEH) program, were included in the analysis. A history of spontaneous falls in the year before recruitment was measured by self-report using a standardized questionnaire. Demographic characteristics, as well as a history of osteoarthritis, rheumatoid arthritis, low back pain, Alzheimer's disease, epilepsy, depression, and cancer, were measured using standardized questionnaires. A tandem gait (heel-to-toe) exam, as well as laboratory tests, were performed under standard conditions. A multiple logistic regression model was used in the analysis and fitted backwardly using the Hosmer and Lemeshow approach. RESULTS: The mean (standard deviation) age of the participants was 69.34 (6.4) years, and 51.9% of the participants were women. A total of 260 (10.7%, 95% CI (9.5-12.0)%) participants reported a spontaneous fall in the year before recruitment. Adjusted for potential confounders, epilepsy (OR = 4.31), cancer (OR = 2.73), depression (OR = 1.81), low back pain (OR = 1.79), and osteoarthritis (OR = 1.49) increased the risk of falls in older adults, while the ability to stand ≥ 10 s in the tandem gait exam (OR = 0.49), being male (OR = 0.60), engaging in physical activity (OR = 0.69), and having high serum triglyceride levels (OR = 0.72) reduced the risk of falls. CONCLUSION: The presence of underlying diseases, combined with other risk factors, is significantly associated with an increased risk of falls among older adults. Given the relatively high prevalence of falls in this population, it is crucial to pay special attention to identifying and addressing these risk factors.

A novel score for predicting falls in community-dwelling older people: a derivation and validation study.

BACKGROUND: Early detection of patients at risk of falling is crucial. This study was designed to develop and internally validate a novel risk score to classify patients at risk of falls. METHODS: A total of 334 older people from a fall clinic in a medical center were selected. Least absolute shrinkage and selection operator (LASSO) regression was used to minimize the potential concatenation of variables measured from the same patient and the overfitting of variables. A logistic regression model for 1-year fall prediction was developed for the entire dataset using newly identified relevant variables. Model performance was evaluated using the bootstrap method, which included measures of overall predictive performance, discrimination, and calibration. To streamline the assessment process, a scoring system for predicting 1-year fall risk was created. RESULTS: We developed a new model for predicting 1-year falls, which included the FRQ-Q1, FRQ-Q3, and single-leg standing time (left foot). After internal validation, the model showed good discrimination (C statistic, 0.803 [95% CI 0.749-0.857]) and overall accuracy (Brier score, 0.146). Compared to another model that used the total FRQ score instead, the new model showed better continuous net reclassification improvement (NRI) [0.468 (0.314-0.622), P < 0.01], categorical NRI [0.507 (0.291-0.724), P < 0.01; cutoff: 0.200-0.800], and integrated discrimination [0.205 (0.147-0.262), P < 0.01]. The variables in the new model were subsequently incorporated into a risk score. The discriminatory ability of the scoring system was similar (C statistic, 0.809; 95% CI, 0.756-0.861; optimism-corrected C statistic, 0.808) to that of the logistic regression model at internal bootstrap validation. CONCLUSIONS: This study resulted in the development and internal verification of a scoring system to classify 334 patients at risk for falls. The newly developed score demonstrated greater accuracy in predicting falls in elderly people than did the Timed Up and Go test and the 30-Second Chair Sit-Stand test. Additionally, the scale demonstrated superior clinical validity for identifying fall risk.

Risk of falls is associated with 30-day mortality among older adults in the emergency department.

OBJECTIVE: Falls in older adults correlate with heightened morbidity and mortality. Assessing fall risk in the emergency department (ED) not only aids in identifying candidates for prevention interventions but may also offer insights into overall mortality risk. We sought to examine the link between fall risk and 30-day mortality in older ED adults. METHODS: Observational cohort study of adults aged ≥ 75years who presented to an academic ED and who were assessed for fall risk using the Memorial Emergency Department Fall Risk Assessment Tool (MEDFRAT), a validated, ED-specific screening tool. The fall risk was classified as low (0-2 points), moderate (3-4 points), or high (≥5) risk. The primary outcome was 30-day mortality. Hazard ratios (HR) with 95% confidence intervals (CIs) were calculated. RESULTS: A total of 941 patients whose fall risk was assessed in the ED were included in the study. Median age was 83.7 years; 45.6% were male, 75.6% lived in private residences, and 62.7% were admitted. Mortality at 30 days among the high fall risk group was four times that of the low fall risk group (11.8% vs 3.1%; HR 4.00, 95% CI 2.18 to 7.34, p < 0.001). Moderate fall risk individuals had nearly double the mortality rate of the low-risk group (6.0% vs 3.1%), but the difference was not statistically significant (HR 1.98, 95% CI 0.91 to 4.32, p = 0.087). CONCLUSION: ED fall risk assessments are linked to 30-day mortality. Screening may facilitate the stratification of older adults at risk for health deterioration.

Risk factors for falls in older adults with diabetes mellitus: systematic review and meta-analysis.

AIM: To identify risk factors for falls in older adults with Type 2 Diabetes Mellitus (T2DM). METHODS: The eligible studies identified factors associated with the risk of falls in older adults with T2DM. We searched PubMed, Cinahl, Web of Science, Scopus, and the Cochrane Library databases. The review has been updated and the last review date was November 30, 2023 (CRD42020193461). RESULTS: Twelve studies met the inclusion criteria, and eight studies were included in the meta-analysis. These studies included a total of 40,778 older adults with T2DM, aged 60 to 101 years. The risk of developing the outcome falls in older adults with T2DM is 63% higher compared to the risk in older adults without T2DM (HR 1.63; 95% CI [1.30 - 2.05]). The overall chance of falling in older adults with T2DM is 59% higher than that of non-diabetic older adults (OR 1.59; 95% CI [1.36 -1.87]), and in older adults with T2DM who take insulin the chance of falling is 162% higher (OR 2.62; 95% CI [1.87 - 3.65]). No results on diabetic polyneuropathy were found in the studies. CONCLUSION: Older adults with T2DM present a higher risk of falls compared to non-diabetics. Among the included older adults with T2DM, the most important factor associated with a higher risk of falls was insulin use. TRIAL REGISTRATION: Registered in the International Prospective Register of Systematic Reviews (CRD42020193461).

The global prevalence of and risk factors for fear of falling among older adults: a systematic review and meta-analysis.

BACKGROUND: As a common psychological problem among older adults, fear of falling was found to have a wide range prevalence in different studies. However, the global prevalence of it was unknown and a lack of the large sample confirmed its risk factors. OBJECTIVES: To report the global prevalence of fear of falling and to explore its risk factors among older adults for further developing precise interventions to systematically manage FOF. DESIGN: A systematic review and meta-analysis was conducted by PRISMA guidelines. METHODS: Searches were conducted in PubMed, Web of Science, EMBASE, the Cochrane Library and the manual search in August 20, 2022, updated to September 2, 2023. Observational studies published in English were included and two researchers independently screened and extracted the data. Fixed or random effects mode was used to estimate the pooled prevalence of and risk factors for fear of falling. Heterogeneity resources were analyzed by subgroup and sensitivity analysis. Publication bias was assessed through funnel plots, Egger's test and Begg's test. RESULTS: A total of the 153 studies with 200,033 participants from 38 countries worldwide were identified. The global prevalence of fear of falling was 49.60%, ranging from 6.96-90.34%. Subgroup analysis found the estimates pooled prevalence of it was higher in developing countries (53.40%) than in developed countries (46.7%), and higher in patients (52.20%) than in community residents (48.40%). In addition, twenty-eight risk factors were found a significant associations with fear of falling, mainly including demographic characteristics, physical function, chronic diseases and mental problems. CONCLUSION: The global prevalence of FOF was high, especially in developing countries and in patients. Demographic characteristics, Physical function, chronic diseases and mental problems were a significant association with FOF. Policy-makers, health care providers and government officials should comprehensively evaluate these risk factors and formulate precise intervention measures to reduce FOF. TRIAL REGISTRATION: The study was registered in the International Database of Prospectively Registered Systematic Reviews (PROSPERO): CRD42022358031.

A volunteer-supported walking programme to improve physical function in older people with restricted mobility (the POWER Study): a randomised controlled trial.

BACKGROUND: Regular physical activity has multiple health benefits, especially in older people. Therefore, the World Health Organization recommends at least 2.5 h of moderate physical activity per week. The aim of the POWER Study was to investigate whether volunteer-assisted walking improves the physical performance and health of older people. METHODS: We approached people aged 65 years and older with restricted mobility due to physical limitations and asked them to participate in this multicentre randomised controlled trial. The recruitment took place in nursing homes and the community setting. Participants randomly assigned to the intervention group were accompanied by volunteer companions for a 30-50 min walk up to three times a week for 6 months. Participants in the control group received two lectures that included health-related topics. The primary endpoint was physical function as measured with the Short Physical Performance Battery (SPPB) at baseline and 6 and 12 months. The secondary and safety endpoints were quality of life (EQ-5D-5L), fear of falling (Falls Efficacy Scale), cognitive executive function (the Clock Drawing Test), falls, hospitalisations and death. RESULTS: The sample comprised 224 participants (79% female). We failed to show superiority of the intervention with regard to physical function (SPPB) or other health outcomes in the intention-to-treat analyses. However, additional exploratory analyses suggest benefits in those who undertook regular walks. The intervention appears to be safe regarding falls. CONCLUSIONS: Regular physical activity is essential to preserve function and to improve health and quality of life. Against the background of a smaller-than-planned sample size, resulting in low power, and the interference of the COVID-19 pandemic, we suggest that community based low-threshold interventions deserve further exploration. TRIAL REGISTRATION: The trial was registered with the German Clinical Trials Register ( www.germanctr.de ), with number DRKS00015188 on 31/08/2018.

Comparing risk-adjusted inpatient fall rates internationally: validation of a risk-adjustment model using multicentre cross-sectional data from hospitals in Switzerland and Austria.

BACKGROUND: Inpatient falls in hospitals are an acknowledged indicator of quality of care. International comparisons could highlight quality improvement potential and enable cross-national learning. Key to fair cross-national comparison is the availability of a risk adjustment model validated in an international context. This study aimed to 1) ascertain that the variables of the inpatient fall risk adjustment model do not interact with country and thus can be used for risk adjustment, 2) compare the risk of falling in hospitals between Switzerland and Austria after risk adjustment. METHODS: The data on inpatient falls from Swiss and Austrian acute care hospitals were collected on a single measurement day in 2017, 2018 and 2019 as part of an international multicentre cross-sectional study. Multilevel logistic regression models were used to screen for interaction effects between the patient-related fall risk factors and the countries. The risks of falling in hospital in Switzerland and in Austria were compared after applying the risk-adjustment model. RESULTS: Data from 176 hospitals and 43,984 patients revealed an inpatient fall rate of 3.4% in Switzerland and 3.9% in Austria. Two of 15 patient-related fall risk variables showed an interaction effect with country: Patients who had fallen in the last 12 months (OR 1.49, 95% CI 1.10-2.01, p = 0.009) or had taken sedatives/psychotropic medication (OR 1.40, 95% CI 1.05-1.87, p = 0.022) had higher odds of falling in Austrian hospitals. Significantly higher odds of falling were observed in Austrian (OR 1.38, 95% CI 1.13-1.68, p = 0.002) compared to Swiss hospitals after applying the risk-adjustment model. CONCLUSIONS: Almost all patient-related fall risk factors in the model are suitable for a risk-adjusted cross-country comparison, as they do not interact with the countries. Further model validation with additional countries is warranted, particularly to assess the interaction of risk factors "fall in the last 12 months" and "sedatives/psychotropic medication intake" with country variable. The study underscores the crucial role of an appropriate risk-adjustment model in ensuring fair international comparisons of inpatient falls, as the risk-adjusted, as opposed to the non-risk-adjusted country comparison, indicated significantly higher odds of falling in Austrian compared to Swiss hospitals.

Effective fall prevention exercise in residential aged care: an intervention component analysis from an updated systematic review.

OBJECTIVE: The effect of fall prevention exercise programmes in residential aged care (RAC) is uncertain. This paper reports on an intervention component analysis (ICA) of randomised controlled trials (RCTs), from an update of a Cochrane review, to develop a theory of features of successful fall prevention exercise in RAC. METHODS: Trial characteristics were extracted from RCTs testing exercise interventions in RAC identified from an update of a Cochrane review to December 2022 (n=32). Eligible trials included RCTs or cluster RCTs in RAC, focusing on participants aged 65 or older, assessing fall outcomes with stand-alone exercise interventions. ICA was conducted on trials with >30 participants per treatment arm compared with control (n=17). Two authors coded trialists' perceptions on intervention features that may have contributed to the observed effect on falls. Inductive thematic analysis was used to identify the key differences between the trials which might account for positive and negative outcomes. RESULTS: 32 RCTs involving 3960 residents including people with cognitive (57%) and mobility (41%) impairments were included. ICA on the 17 eligible RCTs informed the development of a theory that (1) effective fall prevention exercise delivers the right exercise by specifically targeting balance and strength, tailored to the individual and delivered simply at a moderate intensity and (2) successful implementation needs to be sufficiently resourced to deliver structured and supervised exercise at an adequate dose. CONCLUSIONS: This analysis suggests that delivering the right exercise, sufficiently resourced, is important for preventing falls in RAC. This clinical guidance requires confirmation in larger trials.