Article
Multidisciplinary Sciences
Tomoko Nakanishi, Tokunori Ikeda, Taishi Nakamura, Yoshinori Yamanouchi, Akira Chikamoto, Koichiro Usuku
Summary: An algorithm was developed to help nurses easily identify essential fall risk factors and classify fall risk level into four groups. The algorithm was validated and found to be reliable in evaluating fall risk level and providing preventive interventions for individual inpatients by clinical staff.
SCIENTIFIC REPORTS
(2021)
Article
Geriatrics & Gerontology
Dale M. Harris, Rachel L. Duckham, Robin M. Daly, Gavin Abbott, Liam Johnson, Timo Rantalainen, Wei-Peng Teo
Summary: The study developed a falls questionnaire specific for older adults with Parkinson's disease and demonstrated good test-retest reliability in capturing recent falls and near-falls circumstances and consequences.
Article
Geriatrics & Gerontology
Tamer Ahmed, Carmen-Lucia Curcio, Mohammad Auais, Afshin Vafaei, Catherine M. Pirkle, Ricardo Oliveira Guerra, Fernando Gomez
Summary: This study investigated the longitudinal relationship between falls and life-space mobility in older adults. It found that individuals with lower life-space mobility were more likely to experience recurrent falls or injurious falls, especially among women, those with insufficient income, and comorbidities. However, improvements in life-space mobility were observed over time for some individuals with recurrent or injurious falls.
AGING CLINICAL AND EXPERIMENTAL RESEARCH
(2021)
Review
Geriatrics & Gerontology
Karolina Minta, Giorgio Colombo, William R. Taylor, Victor R. Schinazi
Summary: Approximately 40-60% of falls in the elderly lead to injuries, resulting in disability and loss of independence. Most fall risk assessments fail to account for mental status in cognitively impaired individuals. Successful fall prevention programmes in cognitively normal adults have generally failed in patients with cognitive impairment. Understanding the role of pathological aging can improve fall prevention approaches, and fall risk assessment tools and prevention strategies should consider each patient's cognitive status.
FRONTIERS IN AGING NEUROSCIENCE
(2023)
Article
Geriatrics & Gerontology
Elisa Pelosin, Chiara Ponte, Martina Putzolu, Giovanna Lagravinese, Jeffrey M. Hausdorff, Alice Nieuwboer, Pieter Ginis, Lynn Rochester, Lisa Alcock, Bastiaan R. Bloem, Freek Nieuwhof, Andrea Cereatti, Ugo Della Croce, Anat Mirelman, Laura Avanzino
Summary: The study showed that longer TT + VR training leads to greater improvements in cognitive functions, especially those directly addressed by the virtual environment.
FRONTIERS IN AGING NEUROSCIENCE
(2022)
Article
Clinical Neurology
Beata Lindholm, Christina Brogardh, Per Odin, Peter Hagell
Summary: The study identified predictors for falls/near falls in Parkinson’s disease, including history of falls, abnormal tandem gait, and lower MMSE scores. These factors not only affect the fall risk in the short term but also in the long term among patients with PD.
JOURNAL OF NEUROLOGY
(2021)
Article
Clinical Neurology
Christopher Kobylecki, Irena Shiderova, Mihaela Boca, Emilia Michou
Summary: The severity of dysphagia in PD is closely related to the severity of falls, but not to gait freezing. This finding may help to pinpoint the anatomical substrate of levodopa-resistant axial symptoms in PD and provide insights for further management.
NEUROLOGICAL SCIENCES
(2022)
Article
Rehabilitation
Anke Van Bladel, Nolan Herssens, Katie Bouche, Dirk Cambier, Leen Maes, Nina Lefeber
Summary: This systematic review and meta-analysis provides an up-to-date overview of the prevalence of falls in patients with Parkinson's disease. The results show that more than half of the patients experience at least one fall, and more than one-third experience at least two falls. There are substantial variations in fall prevalence rates according to the length and method of monitoring.
CLINICAL REHABILITATION
(2023)
Article
Geriatrics & Gerontology
Sarah Huberty, Gregor Freystatter, Maud Wieczorek, Bess Dawson-Hughes, John A. Kanis, Rene Rizzoli, Reto W. Kressig, Bruno Vellas, Jose A. P. Da Silva, Gabriele Armbrecht, Robert Theiler, Andreas Egli, Endel J. Orav, Heike A. Bischoff-Ferrari
Summary: This study investigated the association between the baseline number of chronic diseases and multimorbidity, and the incidence of all and injurious falls over 3 years among European community-dwelling older adults. The results showed that both the presence of chronic diseases and multimorbidity were associated with an increased incidence of falls, even in generally healthy and active older adults.
JOURNAL OF THE AMERICAN MEDICAL DIRECTORS ASSOCIATION
(2023)
Article
Peripheral Vascular Disease
Andreea Slavescu, Lisa Byrne, Amanda Lavan, Robert Briggs
Summary: This case illustrates the contribution of orthostatic hypotension without typical symptoms to falls in Parkinson's disease. A significant proportion of individuals with severe orthostatic hypotension do not exhibit typical symptoms, and this is even more prevalent in patients with Parkinson's disease. Clinically, this is important as it complicates the attribution of falls to orthostatic hypotension, which can act as a prompt for fall prevention. Therefore, screening and management of orthostatic hypotension in Parkinson's disease patients, regardless of reported symptoms, is crucial to prevent falls.
JOURNAL OF HYPERTENSION
(2023)
Article
Medicine, General & Internal
Julio Belo Fernandes, Josefa Domingos, Carlos Familia, Catia Santos, Diana Santana, Francisco Gregorio, Ines Costa, Joana Afonso, Lucia Matos, Solange Marques, Tania Santos, Sonia Fernandes, Isabel Santos, Natacha Sousa, Catarina Ramos, Catarina Godinho
Summary: The present study aims to assess the feasibility of the Landing Wise program as a therapeutic intervention for reducing the fear of falling in people with Parkinson's disease. A mixed-methods study will be conducted to evaluate the effectiveness and acceptability of the program through quantitative and qualitative data analysis. This research is of importance for the rehabilitation treatment of Parkinson's disease patients.
FRONTIERS IN MEDICINE
(2023)
Article
Geriatrics & Gerontology
Sarah D. Berry, Emily J. Hecker, Eleanor S. McConnell, Tingzhong-Michelle Xue, Timothy Tsai, Andrew R. Zullo, Cathleen Colon-Emeric
Summary: This study describes a remote injury prevention service aimed at optimizing medication use in nursing home residents, with the goal of reducing injurious falls by deprescribing medications associated with falls. The study found that this service has positive effects in reducing injurious falls.
JOURNAL OF THE AMERICAN GERIATRICS SOCIETY
(2023)
Article
Rehabilitation
Yingli Huang, Colleen G. Canning, Jooeun Song, Lindy Clemson, Natalie E. Allen
Summary: The study explores how perceptions of fall risk influence decisions of activities in people with Parkinson's disease who have fallen. Four main themes emerged, including weighing up risks and benefits, fearfulness, desire for normalcy, and accepting falls as part of the disease. Understanding these interactions can help tailor personalized fall prevention interventions.
DISABILITY AND REHABILITATION
(2022)
Article
Geriatrics & Gerontology
Charlotte Tsang, Jason Leung, Timothy Kwok
Summary: This study aimed to investigate whether balance confidence is a significant predictor of falls in community-dwelling older adults, independent of physical function measures. The results of the observational cohort study showed that higher balance confidence was associated with a lower risk of falls in the subsequent year, even after controlling for physical function measures and other variables.
ARCHIVES OF GERONTOLOGY AND GERIATRICS
(2022)
Article
Endocrinology & Metabolism
Jack Dalla Via, Abadi K. Gebre, Cassandra Smith, Zulqarnain Gilani, David Suter, Naeha Sharif, Pawel Szulc, John T. Schousboe, Douglas P. Kiel, Kun Zhu, William D. Leslie, Richard L. Prince, Joshua R. Lewis, Marc Sim
Summary: Abdominal aortic calcification (AAC), a measure of vascular disease, is associated with increased cardiovascular risk and poorer prognosis. An automated machine-learning algorithm has been developed for assessing AAC, which is associated with long-term incident fractures and falls.
JOURNAL OF BONE AND MINERAL RESEARCH
(2023)