Hiromasa Otsuka1, Hiroki Kobayashi2, Kiyozumi Suzuki1, Yuta Hayashi3, Jin Ikeda4, Masaru Kushimoto4, Motohiko Hara5,6, Masanori Abe7, Kimitoshi Kato4, Masayoshi Soma4,3. 1. Department of Emergency Room and General Medicine, Ageo Central General Hospital, Saitama, Japan. 2. Division of Nephrology, Hypertension and Endocrinology, Department of Internal Medicine, Nihon University School of Medicine, 30-1, Oyaguchikami-machi, Itabashi-ku, Tokyo, 173-8610, Japan. kobayashihiroki2@gmail.com. 3. Division of Internal Medicine, Sasaki Foundation Kyoundo Hospital, Tokyo, Japan. 4. Division of General Medicine, Department of Internal Medicine, Nihon University School of Internal Medicine, Tokyo, Japan. 5. Department of Nursing, School of Health and Social Services, Saitama Prefectural University, Saitama, Japan. 6. Department of Rehabilitation, Teikyo University School of Medicine, Tokyo, Japan. 7. Division of Nephrology, Hypertension and Endocrinology, Department of Internal Medicine, Nihon University School of Medicine, 30-1, Oyaguchikami-machi, Itabashi-ku, Tokyo, 173-8610, Japan.
Abstract
BACKGROUND: The timed up and go (TUG) test assesses balance and mobility performance. AIM: This study aims to investigate the association between TUG time and mortality in Japanese older persons and to clarify possible moderation effects on mortality and TUG time. METHODS: In all, 874 participants who were ≥ 65 years of age completed the TUG test and had their anthropometric parameters and physical functions measured. We investigated the association between all-cause mortality and TUG using a Cox regression model that included confounders, and explored the time associated with mortality using a restricted cubic spline. We also performed subgroup analyses to explore whether age, sex, and body mass index (BMI) affected the relationship between TUG time and mortality. RESULTS: The median age and mean follow-up period were 74 and 8.5 years, respectively. Median TUG time was 7.4 s and the prevalence of mortality was 25.7%. TUG time in one second was positively associated with an increased risk of total mortality [hazard ratio (HR): 1.054 (1.016-1.093); P = 0.005] in the Cox regression model. The positive association of mortality and TUG time was present when the TUG was over 10.5 s in the restricted cubic spline curve. Older age (75 years or older) moderated the relationship between TUG time and mortality [Pinteraction = 0.096]. CONCLUSION: This study demonstrates that TUG time is associated with all-cause mortality in Japanese older adults.
BACKGROUND: The timed up and go (TUG) test assesses balance and mobility performance. AIM: This study aims to investigate the association between TUG time and mortality in Japanese older persons and to clarify possible moderation effects on mortality and TUG time. METHODS: In all, 874 participants who were ≥ 65 years of age completed the TUG test and had their anthropometric parameters and physical functions measured. We investigated the association between all-cause mortality and TUG using a Cox regression model that included confounders, and explored the time associated with mortality using a restricted cubic spline. We also performed subgroup analyses to explore whether age, sex, and body mass index (BMI) affected the relationship between TUG time and mortality. RESULTS: The median age and mean follow-up period were 74 and 8.5 years, respectively. Median TUG time was 7.4 s and the prevalence of mortality was 25.7%. TUG time in one second was positively associated with an increased risk of total mortality [hazard ratio (HR): 1.054 (1.016-1.093); P = 0.005] in the Cox regression model. The positive association of mortality and TUG time was present when the TUG was over 10.5 s in the restricted cubic spline curve. Older age (75 years or older) moderated the relationship between TUG time and mortality [Pinteraction = 0.096]. CONCLUSION: This study demonstrates that TUG time is associated with all-cause mortality in Japanese older adults.
Authors: S Shinkai; S Watanabe; S Kumagai; Y Fujiwara; H Amano; H Yoshida; T Ishizaki; H Yukawa; T Suzuki; H Shibata Journal: Age Ageing Date: 2000-09 Impact factor: 10.668
Authors: Hélio José Coelho-Junior; Bruno Rodrigues; Ivan de Oliveira Gonçalves; Ricardo Yukio Asano; Marco Carlos Uchida; Emanuele Marzetti Journal: Exp Gerontol Date: 2018-02-02 Impact factor: 4.032
Authors: Ji Eun Lee; Dong Wook Shin; Su-Min Jeong; Ki Young Son; Belong Cho; Jong Lull Yoon; Byung Joo Park; In Soon Kwon; Jinkook Lee; SangYun Kim Journal: J Gerontol A Biol Sci Med Sci Date: 2018-08-10 Impact factor: 6.053