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BMC Public Health Jun 2024Falls are common in the elderly and can lead to adverse consequences, like injuries, hospitalization, disability even mortality. Successful ageing emerged in sight to...
BACKGROUND
Falls are common in the elderly and can lead to adverse consequences, like injuries, hospitalization, disability even mortality. Successful ageing emerged in sight to assess physical, psychological and social status of older adults. This study is conducted to explore the association between them in a large Indian community-dwelling population.
METHODS
Data were based on the wave 1 survey of the Longitudinal Ageing Study in India (LASI). People aged 60 and above with complete information were included. The elderly met five standards including absence of chronic diseases, freedom from disability, high cognitive ability, free from depressive symptoms and active social engagement, were classified into successful agers. The assessment of falls, fall-related injuries and multiple falls depended on interview. Multivariate logistic regression was conducted to find the associations between falls, fall-injury, multiple falls and successful ageing after adjusting both socio-demographic and biological covariates. The log-likelihood ratio test was calculated interactions in subgroups.
RESULTS
31,345 participants in LASI were finally included in our study. Of them, 20.25% reported fall, and 25% were classified into successful agers. After full adjustment, successful ageing was negatively associated with falls (OR 0.70; 95%CI 0.65-0.76) and multiple falls (OR 0.70; 95%CI 0.63-0.78). And the association did not show the significance in older adults with fall-related injuries (OR 0.86; 95%CI 0.72-1.04).
CONCLUSIONS
Successful ageing was negatively associated with falls and multiple falls, but not fall-related injuries in older people in India. Future studies are demanded to explore the causal relationship and to reveal the underlying mechanism.
Topics: Humans; Accidental Falls; India; Male; Female; Aged; Middle Aged; Cross-Sectional Studies; Longitudinal Studies; Aged, 80 and over; Aging; Risk Factors
PubMed: 38914970
DOI: 10.1186/s12889-024-19181-7 -
PloS One 2024Environmental factors resulting from climate change and air pollution are risk factors for many chronic conditions including dementia. Although research has shown the... (Review)
Review
Environmental factors resulting from climate change and air pollution are risk factors for many chronic conditions including dementia. Although research has shown the impacts of air pollution in terms of cognitive status, less is known about the association between climate change and specific health-related outcomes of older people living with dementia. In response, we outline a scoping review protocol to systematically review the published literature regarding the evidence of climate change, including temperature and weather variability, on health-related quality of life, morbidity, mobility, falls, the utilization of health resources, and mortality among older adults living with dementia. This scoping review will be guided by the framework proposed by Arksey and O'Malley. Electronic search (Medline, Embase, PsycINFO, CINAHL, Scopus, Web of Science) using relevant subject headings and synonyms for two concepts (older people with dementia, weather/ climate change). No publication date or other restrictions will be applied to the search strategy. No language restriction will be applied in order to understand the impact of non-English studies in the literature. Eligible studies must include older adults (65+years) with dementia living in the community and investigate the impacts of climate change and/or weather on their health-related quality of life, morbidity, mobility, falls, use of health resources and mortality. Two independent reviewers will screen abstracts and select those for a full-text review, perform these reviews, select articles for retention, and extract data from them in a standardized manner. This data will then be synthesized and interpreted. OSF registration: DOI: 10.17605/OSF.IO/YRFM8.
Topics: Humans; Climate Change; Dementia; Weather; Quality of Life; Aged; Accidental Falls
PubMed: 38913693
DOI: 10.1371/journal.pone.0304181 -
Journal of Neuroengineering and... Jun 2024Falls are common in a range of clinical cohorts, where routine risk assessment often comprises subjective visual observation only. Typically, observational assessment...
BACKGROUND
Falls are common in a range of clinical cohorts, where routine risk assessment often comprises subjective visual observation only. Typically, observational assessment involves evaluation of an individual's gait during scripted walking protocols within a lab to identify deficits that potentially increase fall risk, but subtle deficits may not be (readily) observable. Therefore, objective approaches (e.g., inertial measurement units, IMUs) are useful for quantifying high resolution gait characteristics, enabling more informed fall risk assessment by capturing subtle deficits. However, IMU-based gait instrumentation alone is limited, failing to consider participant behaviour and details within the environment (e.g., obstacles). Video-based eye-tracking glasses may provide additional insight to fall risk, clarifying how people traverse environments based on head and eye movements. Recording head and eye movements can provide insights into how the allocation of visual attention to environmental stimuli influences successful navigation around obstacles. Yet, manual review of video data to evaluate head and eye movements is time-consuming and subjective. An automated approach is needed but none currently exists. This paper proposes a deep learning-based object detection algorithm (VARFA) to instrument vision and video data during walks, complementing instrumented gait.
METHOD
The approach automatically labels video data captured in a gait lab to assess visual attention and details of the environment. The proposed algorithm uses a YoloV8 model trained on with a novel lab-based dataset.
RESULTS
VARFA achieved excellent evaluation metrics (0.93 mAP50), identifying, and localizing static objects (e.g., obstacles in the walking path) with an average accuracy of 93%. Similarly, a U-NET based track/path segmentation model achieved good metrics (IoU 0.82), suggesting that the predicted tracks (i.e., walking paths) align closely with the actual track, with an overlap of 82%. Notably, both models achieved these metrics while processing at real-time speeds, demonstrating efficiency and effectiveness for pragmatic applications.
CONCLUSION
The instrumented approach improves the efficiency and accuracy of fall risk assessment by evaluating the visual allocation of attention (i.e., information about when and where a person is attending) during navigation, improving the breadth of instrumentation in this area. Use of VARFA to instrument vision could be used to better inform fall risk assessment by providing behaviour and context data to complement instrumented e.g., IMU data during gait tasks. That may have notable (e.g., personalized) rehabilitation implications across a wide range of clinical cohorts where poor gait and increased fall risk are common.
Topics: Deep Learning; Accidental Falls; Humans; Risk Assessment; Walking; Male; Female; Adult; Eye-Tracking Technology; Eye Movements; Gait; Video Recording; Young Adult
PubMed: 38909239
DOI: 10.1186/s12984-024-01400-2 -
International Journal of Medical... 2024Predicting fall injuries can mitigate the sequelae of falls and potentially utilize medical resources effectively. This study aimed to externally validate the accuracy... (Observational Study)
Observational Study
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. 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. 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. 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.
Topics: Humans; Accidental Falls; Male; Female; Aged; Prospective Studies; Middle Aged; Risk Assessment; Aged, 80 and over; Adult; Risk Factors; Wounds and Injuries; Incidence; Young Adult
PubMed: 38903917
DOI: 10.7150/ijms.92837 -
Sensors (Basel, Switzerland) Jun 2024Postural instability is a common complication in advanced Parkinson's disease (PD) associated with recurrent falls and fall-related injuries. The test of retropulsion,...
Postural instability is a common complication in advanced Parkinson's disease (PD) associated with recurrent falls and fall-related injuries. The test of retropulsion, consisting of a rapid balance perturbation by a pull in the backward direction, is regarded as the gold standard for evaluating postural instability in PD and is a key component of the neurological examination and clinical rating in PD (e.g., MDS-UPDRS). However, significant variability in test execution and interpretation contributes to a low intra- and inter-rater test reliability. Here, we explore the potential for objective, vision-based assessment of the pull test (vPull) using 3D pose tracking applied to single-sensor RGB-Depth recordings of clinical assessments. The initial results in a cohort of healthy individuals ( = 15) demonstrate overall excellent agreement of vPull-derived metrics with the gold standard marker-based motion capture. Subsequently, in a cohort of PD patients and controls ( = 15 each), we assessed the inter-rater reliability of vPull and analyzed PD-related impairments in postural response (including pull-to-step latency, number of steps, retropulsion angle). These quantitative metrics effectively distinguish healthy performance from and within varying degrees of postural impairment in PD. vPull shows promise for straightforward clinical implementation with the potential to enhance the sensitivity and specificity of postural instability assessment and fall risk prediction in PD.
Topics: Humans; Parkinson Disease; Postural Balance; Male; Female; Middle Aged; Aged; Accidental Falls; Reproducibility of Results; Posture; Adult
PubMed: 38894463
DOI: 10.3390/s24113673 -
Sensors (Basel, Switzerland) May 2024In the construction industry, falls, slips, and trips (FST) account for 42.3% of all accidents. The primary cause of FST incidents is directly related to the...
In the construction industry, falls, slips, and trips (FST) account for 42.3% of all accidents. The primary cause of FST incidents is directly related to the deterioration of workers' body stability. To prevent FST-related accidents, it is crucial to understand the interaction between physical fatigue and body stability in construction workers. Therefore, this study investigates the impact of fatigue on body stability in various construction site environments using Dynamic Time Warping (DTW) analysis. We conducted experiments reflecting six different fatigue levels and four environmental conditions. The analysis process involves comparing changes in DTW values derived from acceleration data obtained through wearable sensors across varying fatigue levels and construction environments. The results reveal the following changes in DTW values across different environments and fatigue levels: for non-obstacle, obstacle, water, and oil conditions, DTW values tend to increase as fatigue levels rise. In our experiments, we observed a significant decrease in body stability against external environments starting from fatigue Levels 3 or 4 (30% and 40% of the maximum failure point). In the non-obstacle condition, the DTW values were 9.4 at Level 0, 12.8 at Level 3, and 23.1 at Level 5. In contrast, for the oil condition, which exhibited the highest DTW values, the values were 10.5 at Level 0, 19.1 at Level 3, and 34.5 at Level 5. These experimental results confirm that the body stability of construction workers is influenced by both fatigue levels and external environmental conditions. Further analysis of recovery time, defined as the time it takes for body stability to return to its original level, revealed an increasing trend in recovery time as fatigue levels increased. This study quantitatively demonstrates through wearable sensor data that, as fatigue levels increase, workers experience decreased body stability and longer recovery times. The findings of this study can inform individual worker fatigue management in the future.
Topics: Humans; Construction Industry; Fatigue; Adult; Male; Postural Balance; Wearable Electronic Devices; Accidental Falls
PubMed: 38894258
DOI: 10.3390/s24113469 -
Nutrients May 2024Sarcopenia screening tools have a low capacity to predict adverse outcomes that are consequences of sarcopenia in the elderly population. This study aimed to evaluate...
Sarcopenia screening tools have a low capacity to predict adverse outcomes that are consequences of sarcopenia in the elderly population. This study aimed to evaluate the ability of a new sarcopenia screening tool SARC-GLOBAL to predict negative clinical outcomes in the elderly. A total of 395 individuals were evaluated in a 42-month period. The screening tools SARC-GLOBAL, SARC-F, and SARC-CalF and the diagnosis of sarcopenia according to European Working Group on Sarcopenia in Older Persons (EWGSOP2) were performed at the beginning of the study. Logistic and Poisson regression models were applied to assess the predictive value of the tools for the odds and risks of negative clinical outcomes, respectively. The most common negative clinical outcome in the followed population was falls (12.9%), followed by infections (12.4%), hospitalizations (11.8%), fractures (4.3%), and deaths (2.7%). Both SARC-GLOBAL and SARC-F were similar in predicting the odds of falls and hospitalizations during the follow up period, however SARC-CalF only predicted the odds of hospitalizations at 42 months.
Topics: Humans; Sarcopenia; Aged; Male; Female; Prognosis; Hospitalization; Aged, 80 and over; Accidental Falls; Geriatric Assessment; Mass Screening; Predictive Value of Tests; Logistic Models
PubMed: 38892650
DOI: 10.3390/nu16111717 -
Nutrients May 2024(1) Background: With the aging population, effective interventions are needed to enhance the health of older adults. This study investigated the combined effects of yoga... (Randomized Controlled Trial)
Randomized Controlled Trial
Effects of a Yoga Program Combined with a Mediterranean Diet on Nutritional Status and Functional Capacity in Community-Dwelling Older Adults: A Randomized Controlled Clinical Trial.
(1) Background: With the aging population, effective interventions are needed to enhance the health of older adults. This study investigated the combined effects of yoga and the Mediterranean diet on various health outcomes in community-dwelling older adults; (2) Methods: The study employed a randomized controlled trial design with a total of 116 older adults randomized to an experimental group ( = 57) that underwent a combined yoga and Mediterranean diet program and a control group ( = 59) that did not receive any intervention. Nutritional status was assessed using the Mini Nutritional Assessment, flexibility with the Back Scratch Test and the Chair Sit-and-Reach Test, balance, gait, and fall risk with the Tinetti Scale, and muscle strength with a dynamometer and the 30 s Chair Stand Test; (3) Results: Regarding nutritional status, there were significant differences between the experimental group and the control group (Cohen's d = 0.02). The participants in the experimental group showed greater balance (11.12 ± 3.01 vs. 10.03 ± 2.35, Cohen's d = 0.41 and gait (7.63 ± 1.96 vs. 6.69 ± 2.50, Cohen's d = 0.44) with respect to the control group. In terms of flexibility, the experimental group showed statistically significant improvements in the right arm (Cohen's d = 0.43), left arm (Cohen's d = 0.64), right perineum (Cohen's d = 0.42), and left leg (Cohen's d = 0.37) Finally, in terms of strength, participants in the experimental group experienced statistically significant improvements in grip strength and lower body strength (Cohen's d = 0.39 and 0.81, respectively); (4) Conclusions: The study highlights the potential benefits of a 12-week intervention combining yoga with a Mediterranean diet to improve the health and functional capacities of community-dwelling older adults.
Topics: Humans; Diet, Mediterranean; Aged; Yoga; Male; Female; Nutritional Status; Independent Living; Muscle Strength; Postural Balance; Gait; Aged, 80 and over; Geriatric Assessment; Functional Status; Nutrition Assessment; Accidental Falls
PubMed: 38892534
DOI: 10.3390/nu16111601 -
Scientific Reports Jun 2024Cornaux/Les Sauges (Switzerland, Late Iron Age) revealed remnants of a wooden bridge, artifacts, and human and animal skeletal remains. The relationship between the...
Cornaux/Les Sauges (Switzerland, Late Iron Age) revealed remnants of a wooden bridge, artifacts, and human and animal skeletal remains. The relationship between the collapsed structure and the skeletal material, whether it indicates a potential accident or cultural practices, remains elusive. We evaluate the most plausible scenario for Cornaux based on osteological, taphonomic, isotopic, and paleogenomic analysis of the recovered individuals. The latter amount to at least 20 individuals, mostly adult males. Perimortem lesions include only blunt force traumas. Radiocarbon data fall between the 3rd and 1st c. BCE, although in some cases predating available dendrochronological estimates from the bridge. Isotopic data highlight five to eight nonlocals. No close genetic relatedness links the analyzed skeletons. Paleogenomic results, the first for Iron Age Switzerland, point to a genetic affinity with other Central and Western European Iron Age groups. The type of skeletal lesions supports an accidental event as the more plausible explanation. Radiocarbon data and the demographic structure of the sample may suggest a sequence of different events possibly including executions and/or sacrifices. Isotopic and paleogenomic data, while not favoring one scenario over the other, do support earlier interpretations of the last centuries BCE in Europe as a dynamic period from a biocultural perspective.
Topics: Humans; Switzerland; Male; History, Ancient; Adult; Female; Archaeology; Fossils; Bone and Bones; Radiometric Dating
PubMed: 38886480
DOI: 10.1038/s41598-024-62524-y -
Pediatric Health, Medicine and... 2024Head trauma in paediatric patients is a worldwide and constant issue. It is the number one cause for childhood mortality and morbidity. Children of all ages are... (Review)
Review
Head trauma in paediatric patients is a worldwide and constant issue. It is the number one cause for childhood mortality and morbidity. Children of all ages are susceptible to sustaining head trauma and the anatomical characteristics of the region put them in a high-risk category for developing severe traumatic brain injuries. Boys are more frequently victims of accidental head traumas, and their injuries are more severe than those encountered in girls. The mechanisms of the trauma are a determining factor for the types of lesions we find. The traumatic injuries fall into two categories, primary and secondary. Primary traumatic injuries can be severe and life threatening, and their presence needs to be documented in order to set the correct therapeutic conduct. Due to their importance, this pictorial review focuses on them and the images used herein are selected from the database of our hospital. It is important to distinguish each of the different injuries that can be encountered. At the same time, radiologists are advised to remember that for children up to five years of age, some non-accidental imaging findings may appear to coincide with those found in accidental head trauma.
PubMed: 38882239
DOI: 10.2147/PHMT.S461121