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      Association of accelerometer-derived step volume and intensity with hospitalizations and mortality in older adults: A prospective cohort study

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          Highlights

          • The joint associations between steps volume and intensity with health are unknown.

          • Increasing 1000 steps/day yielded lower hospitalization (5%) and mortality (13%).

          • Every 1 step/min increment reduced hospitalization (5%) and mortality (11%) risk.

          • These associations appear to be linear.

          • Increasing step volume and intensity jointly may result in larger health gains.

          Abstract

          Purpose

          This study aimed to examine the associations of accelerometer-derived steps volume and intensity with hospitalizations and all-cause mortality in older adults.

          Methods

          This prospective cohort study involved 768 community-dwelling Spanish older adults (78.8 ± 4.9 years, mean ± SD; 53.9% females) from the Toledo Study for Healthy Aging (2012–2017). The number of steps per day and step cadence (steps/min) were derived from a hip-mounted accelerometer worn for at least 4 days at baseline. Participants were followed-up over a mean period of 3.1 years for hospitalization and 5.7 years for all-cause mortality. Cox proportional hazards regression models were used to estimate the individual and joint associations between daily steps and stepping intensity with hospitalizations and all-cause mortality.

          Results

          Included participants walked 5835 ± 3445 steps/day with an intensity of 7.3 ± 4.1 steps/min. After adjusting for age, sex, body mass index (BMI), education, income, marital status and comorbidities, higher step count (hazard ratio (HR) = 0.95, 95% confidence interval (95%CI: 0.90–1.00, and HR = 0.87, 95%CI: 0.81–0.95 per additional 1000 steps) and higher step intensity (HR = 0.95, 95%CI: 0.91–0.99, and HR = 0.89, 95%CI: 0.84–0.95 per each additional step/min) were associated with fewer hospitalizations and all-cause mortality risk, respectively. Compared to the group having low step volume and intensity, individuals in the group having high step volume and intensity had a lower risk of hospitalization (HR = 0.72, 95%CI: 0.52–0.98) and all-cause mortality (HR = 0.60, 95%CI: 0.37–0.98).

          Conclusion

          Among older adults, both high step volume and step intensity were significantly associated with lower hospitalization and all-cause mortality risk. Increasing step volume and intensity may benefit older people.

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          Most cited references38

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          A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation

          The objective of this study was to develop a prospectively applicable method for classifying comorbid conditions which might alter the risk of mortality for use in longitudinal studies. A weighted index that takes into account the number and the seriousness of comorbid disease was developed in a cohort of 559 medical patients. The 1-yr mortality rates for the different scores were: "0", 12% (181); "1-2", 26% (225); "3-4", 52% (71); and "greater than or equal to 5", 85% (82). The index was tested for its ability to predict risk of death from comorbid disease in the second cohort of 685 patients during a 10-yr follow-up. The percent of patients who died of comorbid disease for the different scores were: "0", 8% (588); "1", 25% (54); "2", 48% (25); "greater than or equal to 3", 59% (18). With each increased level of the comorbidity index, there were stepwise increases in the cumulative mortality attributable to comorbid disease (log rank chi 2 = 165; p less than 0.0001). In this longer follow-up, age was also a predictor of mortality (p less than 0.001). The new index performed similarly to a previous system devised by Kaplan and Feinstein. The method of classifying comorbidity provides a simple, readily applicable and valid method of estimating risk of death from comorbid disease for use in longitudinal studies. Further work in larger populations is still required to refine the approach because the number of patients with any given condition in this study was relatively small.
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            Gait speed and survival in older adults.

            Survival estimates help individualize goals of care for geriatric patients, but life tables fail to account for the great variability in survival. Physical performance measures, such as gait speed, might help account for variability, allowing clinicians to make more individualized estimates. To evaluate the relationship between gait speed and survival. Pooled analysis of 9 cohort studies (collected between 1986 and 2000), using individual data from 34,485 community-dwelling older adults aged 65 years or older with baseline gait speed data, followed up for 6 to 21 years. Participants were a mean (SD) age of 73.5 (5.9) years; 59.6%, women; and 79.8%, white; and had a mean (SD) gait speed of 0.92 (0.27) m/s. Survival rates and life expectancy. There were 17,528 deaths; the overall 5-year survival rate was 84.8% (confidence interval [CI], 79.6%-88.8%) and 10-year survival rate was 59.7% (95% CI, 46.5%-70.6%). Gait speed was associated with survival in all studies (pooled hazard ratio per 0.1 m/s, 0.88; 95% CI, 0.87-0.90; P < .001). Survival increased across the full range of gait speeds, with significant increments per 0.1 m/s. At age 75, predicted 10-year survival across the range of gait speeds ranged from 19% to 87% in men and from 35% to 91% in women. Predicted survival based on age, sex, and gait speed was as accurate as predicted based on age, sex, use of mobility aids, and self-reported function or as age, sex, chronic conditions, smoking history, blood pressure, body mass index, and hospitalization. In this pooled analysis of individual data from 9 selected cohorts, gait speed was associated with survival in older adults.
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              Assessment of physical activity by self-report: status, limitations, and future directions.

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                Author and article information

                Contributors
                Journal
                J Sport Health Sci
                J Sport Health Sci
                Journal of Sport and Health Science
                Shanghai University of Sport
                2095-2546
                2213-2961
                23 May 2021
                September 2022
                23 May 2021
                : 11
                : 5
                : 578-585
                Affiliations
                [a ]GENUD Toledo Research Group, University of Castilla-La Mancha, Toledo 45071, Spain
                [b ]CIBER of Frailty and Healthy Aging (CIBERFES), Madrid 28029, Spain
                [c ]Motivation and Behaviour Research Program, Institute for Positive Psychology and Education, Faculty of Health Sciences, Australian Catholic University, Sydney, NSW 2060, Australia
                [d ]Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo 0806, Norway
                [e ]Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, Oslo 0473, Norway
                [f ]Geriatric Department, Hospital Virgen del Valle, Toledo 45071, Spain
                [g ]Geriatric Department, Hospital Universitario de Getafe, Getafe 28905, Spain
                Author notes
                [* ]Corresponding author. asier.manas@ 123456uclm.es
                [†]

                These two authors contribute equally to this work.

                [‡]

                These two authors contribute equally to this work.

                Article
                S2095-2546(21)00052-1
                10.1016/j.jshs.2021.05.004
                9532608
                34029758
                7234e18e-30ce-42c2-897c-a532ba26956b
                © 2021 Published by Elsevier B.V. on behalf of Shanghai University of Sport.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 18 November 2020
                : 23 January 2021
                : 23 February 2021
                Categories
                Original Article

                aging,follow-up,objective,physical activity,walking
                aging, follow-up, objective, physical activity, walking

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