Slower gait speed increases risk of falling in older adults with depression and cognitive complaints

MacAulay, Rebecca K.; Boeve, Angelica; D'Errico, Lisa; Halpin, Amy; Szeles, Dana; Wagner, Mark T.

doi:10.1080/13548506.2021.1903056

Cited by 10 publications

(12 citation statements)

References 16 publications

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“…Specifically, the study found that there was an increased risk of future falls in association with SCC, which differed from the findings of Beauchet et al (2019), who reported no association of falls with SCC. Slow gait is one predominant domain of gait characteristics that can predict the risk of falls in patients with dementia or MCI (MacAulay et al, 2021), but for the community-dwelling elderly without MCI in our study, slow gait did not associate with future falls risk during the following 3 years, which was in line with the findings reported by Beauchet et al (2019). The discrepancy in these findings might be correlated with the temporal relationship between SCC and slow gait (Morris et al, 2016;Nadkarni et al, 2009).…”

Section: Discussionsupporting

confidence: 86%

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Association between motoric cognitive risk syndrome and future falls among Chinese community‐dwelling elderly: A nationwide cohort study

Liu

et al. 2023

Brain and Behavior

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Background Motoric Cognitive Risk syndrome (MCR), known as the predementia stage, is characterized by both subjective cognitive complaint (SCC) and slow gait. This study aimed to investigate the causal relationship between MCR, its components, and falls. Methods Participants aged ≥ 60 years were selected from China Health and Retirement Longitudinal Study. SCC was determined by participants' responses to the question “How would you rate your memory at present?” with “poor” being the indicative answer. Slow gait was defined as one standard deviation or more below age‐ and gender‐appropriate mean values of gait speed. MCR was identified when both SCC and slow gait were presented. Future falls were investigated by the question “have you fallen down during follow‐up until wave 4 in 2018?” Logistic regression analysis was performed to test the longitudinal association of MCR, its components and future falls during the following 3 years. Results Of 3748 samples in this study, the prevalence of MCR, SCC, and slow gait was 5.92%, 33.06%, and 15.21%, respectively. MCR increased the risk of falls during the following 3 years by 66.7% compared to non‐MCR after controlling for covariates. In the fully adjusted models, with the healthy group as reference, MCR (OR = 1.519, 95%CI = 1.086–2.126) and SCC (OR = 1.241, 95%CI = 1.018–1.513), but not slow gait, increased the risk of future falls. Conclusions MCR independently predicts future falls risk in the following 3 years. Measuring MCR can be a pragmatic tool for early identification of falls risk.

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Section: Discussionsupporting

confidence: 86%

“…Furthermore, the association of SCC and slow gait with falls still needs to be confirmed, since the related findings were opposite in some studies (Beauchet et al, 2019;Yuan et al, 2021). Slow gait was found to be statistically associated with falls in patients with cognitive impairment (MacAulay et al, 2021;Pieruccini-Faria et al, 2020).…”

Section: Introductionmentioning

confidence: 93%

Association between motoric cognitive risk syndrome and future falls among Chinese community‐dwelling elderly: A nationwide cohort study

Liu

et al. 2023

Brain and Behavior

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“…Вариативность частоты падений связана с популяцией обследованных, [23]. Причём известна сопряжённость когнитивных расстройств и снижения темпа ходьбы у лиц старческого возраста, а скорость походки менеее 1 м/с является надёжным предиктором падений у пожилых людей [14,24]. В основе данной взаимосвязи лежат единые механизмы развития и прогрессирования возрастзависимой церебральной микроангиопатии.…”

Section: Discussionunclassified

Risk factors for falls in different age groups of patients with chronic cerebral ischaemia

Гераскина

Galaeva

Sheikhova

et al. 2022

Annals of Clinical and Experimental Neurology

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Introduction. Cognitive impairment, gait and balance disorders are the most important risk factors for falls in older persons. These neurological impairments are the main clinical manifestations of chronic cerebral ischaemia (CCI), and can develop at a younger age. Aim: to evaluate the risk factors for falls in patients with CCI in different age groups and to identify the most significant predictors of falls. Materials and methods. We examined 104 patients with CCI. Patients were divided into three age groups: middle age (4059 years old; n = 13), older age (6074 years old; n = 62), and the elderly (75 years and older; n = 29). We assessed the frequency of falls and the presence of risk factors. Results. Thirty-seven (36%) patients had a history of falls, with its incidence increasing from 8% in the middle-aged group to 37% in the older persons and 45% in the elderly. Some patients had multiple risk factors for falls, while the presence of 5 risk factors increased the risk of falling fourfold. The most common factors in middle age were pain due to degenerative spine conditions (85%), anxiety (54%), and visual impairment (31%); in older age back pain (77%), cognitive impairment (45%), visual impairment (39%), and decreased walking speed (23%); in the elderly visual impairment (76%), cognitive impairment (69%), back pain (69%), decreased walking speed (38%), and orthostatic hypotension (28%). Discriminant analysis revealed that the best predictors of falls in CCI were female sex, age over 69 years, depression, cognitive impairment, and a walking speed below 1 m/sec. Conclusion. Falls were observed in all age groups of people with CCI. Not only the presence of a specific risk factor for falls, but the presence of multiple risk factors, has predictive value. The presence of five or more risk factors, as well as a walking speed below 1 m/sec, can indicate a high risk of falls.

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“…In particular, reports related to association between gait speed and cognitive subdomains are available on older adults with mild cognitive impairment (MCI) 26 or with high risk of falling. 27,28 Moreover, physical frailty subdomains can predict the development of social frailty, including gait performance and muscle strength. 29 Considering the above backgrounds, independent risk factors towards social frailty among older adults need to be investigated in the future, as well as monitoring physical and cognitive functions.…”

Section: Discussionmentioning

confidence: 99%

Social frailty is independently associated with geriatric depression among older adults living in northern Japan: A cross‐sectional study of ORANGE registry

Kume

Kodama

Takahashi³

et al. 2021

Geriatrics Gerontology Int

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To clarify prevalence of social frailty among older adults living in a rural Japanese community, and factors associated with social frailty status.Methods: In total, 322 adults aged ≥65 years living in a Japanese rural community took part in the study from 2018 to 2020. Social frailty was defined as deficiencies of: (i) living alone; (ii) talking with someone every day; (iii) feeling helpful to friends or family; (iv) going out less frequently compared with last year; and (v) visiting friends sometimes. Social frail status was categorized as robust (0), social prefrail (1), and social frail (≥2), according to the summated score of Makizako's criteria. Multiple logistic regression analysis was applied to clarify factors associated with social frailty status.Results: Final samples were classified into 68 persons with social frailty, 98 persons with social prefrailty and 147 persons as robust. We observed the prevalence of social frailty (21.7%) and social prefrailty (31.3%) and the GDS-15 had significantly high scores in the social frail groups. Social frailty was significantly associated with the GDS-15 score (odds ratio, 1.33; 95% CI, 1.19-1.49) and TMT-A (odds ratio, 1.04; 95% CI, 1.01-1.08) and GDS-15 (odds ratio, 1.13; 95% CI, 1.03-1.26) were extracted as independent variables of social prefrail status, with adjustment for demographics, polypharmacy and lifestyle-related diseases.Conclusions: Our results suggest that social frailty tends to be increasing gradually in a Japanese rural area, and social prefrailty might be potentially associated with attentional function, as well as the GDS-15 score.

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Slower gait speed increases risk of falling in older adults with depression and cognitive complaints

Cited by 10 publications

References 16 publications

Association between motoric cognitive risk syndrome and future falls among Chinese community‐dwelling elderly: A nationwide cohort study

Association between motoric cognitive risk syndrome and future falls among Chinese community‐dwelling elderly: A nationwide cohort study

Risk factors for falls in different age groups of patients with chronic cerebral ischaemia

Social frailty is independently associated with geriatric depression among older adults living in northern Japan: A cross‐sectional study of ORANGE registry

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