Mobility performance impacts mortality risk in community-dwelling healthy older adults in Japan: a prospective observational study

Otsuka, Hiromasa; Kobayashi, Hiroki; Suzuki, Katsushi; Hayashi, Yuta; Ikeda, Jin; Kushimoto, Masaru; Hara, Masaaki; Abe, Masanori; Kato, Kimitoshi; Soma, Masayoshi

doi:10.1007/s40520-021-01787-1

Cited by 7 publications

(5 citation statements)

References 30 publications

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“…Certainly, age is a variable that influences Timed Up and Go test and some reports have demonstrated that sex and BMI also affects Timed Up and Go test [ 5 ]. Nevertheless, Timed Up and Go test was an all-cause mortality predictor independent of age, which gives a window of opportunity for screening and intervention.…”

Section: Discussionmentioning

confidence: 99%

“…This has sparked interest in finding risk factors for death as a result of deviations of homeostatic equilibrium, deteriorations of health and multimorbidity, while considering the complexity and heterogeneity of older adults [ 1 ]. Among other risk factors, poor mobility is of great relevance and goes beyond the overall health status of the older adult affecting their independent and quality of life [ 2 – 5 ].…”

Section: Introductionmentioning

confidence: 99%

“…Even the aforementioned differences in older people’s characteristics of vulnerability between high-income versus LMIC and the well described role of Timed Up and Go test and Gait Speed in predict mortality in high-income countries [ 5 , 27 – 29 ], scarce studies are done in LMIC and mainly related with all-cause mortality [ 30 ]. This evidence gap prevents recommending the application of mobility tests as a structural part of the geriatric evaluation [ 31 ].…”

Section: Introductionmentioning

confidence: 99%

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Timed up and go test predicts mortality in older adults in Peru: a population-based cohort study

et al. 2022

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Background While there is evidence about stablished risk factors (e.g., raised blood pressure) and higher mortality risk in older population, less has been explored about other functional parameters like the Timed Up and Go test and the Gait Speed in older people at low- and middle-income countries. We aimed to study these mobility tests as predictors of mortality in a population of older people in Peru. Methods Population-based prospective cohort study (2013–2020). Random sampling of people aged 60+ years in a community of Lima, Peru. Geriatricians conducted all clinical evaluations and laboratory tests were conducted in the local hospital. Participants were sought in the national vital registration system, and we collated cause (ICD-10) and date of death. We conducted a nested forward multivariate Cox proportional hazard model to identify all potential predictors of all-cause, communicable and non-communicable diseases mortality. Results At baseline, there were 501 older people (mean age 70.6 and 62.8% were women), complete follow-up information was available from 427 people. Mean follow-up time was 46.5 months (SD = 25.3). In multivariate models, the Timed Up and Go test was associated with higher risk of all-cause mortality (HR = 1.05; 95% CI: 1.02–1.09). For cause-specific mortality, history of heart disease (HR = 2.25; 95% CI: 1.07–4.76) and age in years (HR = 1.05; 95% CI: 1.01–1.09) were predictors of non-communicable diseases mortality. Conclusions In addition to established risk factors for mortality in older population, the Timed Up and Go test, a functional parameter, raised as a relevant predictor of all-cause mortality.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Timed up and go test predicts mortality in older adults in Peru: a population-based cohort study

et al. 2022

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“…Previous studies have reported similarly that TUG predicts mortality [ 17 – 23 ]. Among them, three studied only men [ 17 ] or women [ 18 , 19 ]; one studied middle-aged postmenopausal women [ 19 ]; three were Asian studies [ 21 – 23 ], of which one evaluated short-term 2-year mortality risk [ 22 ], and one evaluated cardiovascular mortality [ 23 ]. Only a few studies, beside our study, evaluated TUG alongside other physical or functional measures: one study evaluated two measures (TUG and handgrip strength) [ 22 ], another study evaluated four measures (TUG, handgrip strength, five times sit-to-stand test, standing balance) [ 17 ], and another study also evaluated four measures (TUG, usual gait velocity, functional reach, one-leg stance) [ 18 ].…”

Section: Discussionmentioning

confidence: 99%

Physical and functional measures predicting long-term mortality in community-dwelling older adults: a comparative evaluation in the Singapore Longitudinal Ageing Study

Cheong

Yap

Gwee

et al. 2021

Aging

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Measures of functional status are known to predict mortality more strongly than traditional disease risk markers in old adult populations. Few studies have compared the predictive accuracy of physical and functional measures for long-term mortality. In this prospective cohort study, community-dwelling older adults ( N = 2906) aged 55 + (mean age 66.6 ± 7.7 years) were followed up for mortality outcome up to 9 years (mean 5.8 years). Baseline assessments included Timed Up-and-Go (TUG), gait velocity (GV), knee extension strength, Performance Oriented Mobility Assessment, forced expiratory volume in 1 second, Mini-Mental State Examination (MMSE), Geriatric Depression Scale, frailty, and medical morbidity. A total of 111 (3.8%) participants died during 16976.7 person-years of follow up. TUG was significantly associated with mortality risk (HR = 2.60, 95% CI = 2.05–3.29 per SD increase; HR = 5.05, 95% CI = 3.27–7.80, for TUG score ≥ 9 s). In multivariate analysis, TUG remained significantly associated with mortality (HR = 1.64, 95% CI = 1.20–2.19 per SD increase; HR = 2.66, 95% CI = 1.67–4.23 for TUG score ≥ 9 s). In multivariable analyses, GV, MMSE, Frailty Index (FI) and physical frailty, diabetes and multi-morbidity were also significantly associated with mortality. However, TUG (AUC = 0.737) demonstrated significantly higher discriminatory accuracy than GV (AUC = 0.666, p < 0.001), MMSE (AUC = 0.63, p < 0.001), FI (AUC = 0.62, p < 0.001), physical frailty (AUC = 0.610, p < 0.001), diabetes (AUC = 0.582, p < 0.001) and multi-morbidity (AUC = 0.589, p < 0.001). TUG’s predictive accuracy shows surpassing predictive accuracy for long-term mortality in community-dwelling older adults.

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“…Broadly defined, mobility is the ability to move independently around the environment 1,2 . Previous studies have shown that mobility performance is associated with frailty, cognitive decline, and all-cause mortality [2][3][4][5][6] and is predictive for the onset of functional dependence 7 . Mobility function can be assessed through self-reports of ability to perform specific activities (e.g.…”

Section: Introductionmentioning

confidence: 99%

Comparisons Between GPS-based and Self-reported Life-space Mobility in Older Adults

Bai

Zapata

Karnati

et al. 2022

Preprint

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Assessments of Life-space Mobility (LSM) evaluate the locations of movement and their frequency over a period of time to understand mobility patterns. Advancements in and miniaturization of GPS sensors in mobile devices like smartwatches could facilitate objective and high-resolution assessment of life-space mobility. The purpose of this study was to compare self-reported measures to GPS-based LSM extracted from 27 participants (44.4% female, aged 65+ years) who wore a smartwatch for 1-2 weeks at two different site locations (Connecticut and Florida). GPS features (e.g., excursion size/span) were compared to self-reported LSM with and without an indicator for needing assistance. Although correlations between self-reported measures and GPS-based LSM were positive, none were statistically significant. The correlations improved slightly when needing assistance was included, but statistical significance was achieved only for excursion size (r=0.40, P=0.04). The poor correlations between GPS-based and self-reported indicators suggest that they capture different dimensions of life-space mobility.

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Mobility performance impacts mortality risk in community-dwelling healthy older adults in Japan: a prospective observational study

Cited by 7 publications

References 30 publications

Timed up and go test predicts mortality in older adults in Peru: a population-based cohort study

Timed up and go test predicts mortality in older adults in Peru: a population-based cohort study

Physical and functional measures predicting long-term mortality in community-dwelling older adults: a comparative evaluation in the Singapore Longitudinal Ageing Study

Comparisons Between GPS-based and Self-reported Life-space Mobility in Older Adults

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