Wenjing Zhao1, Shigekazu Ukawa1, Kazuyo Tsushita2, Takashi Kawamura3, Kenji Wakai4, Masahiko Ando5, Akiko Tamakoshi1. 1. Public Health Department, Hokkaido University Graduate School of Medicine, Sapporo, Hokkaido, Japan. 2. Comprehensive Health Science Center, Aichi Health Promotion Public Interest Foundation, Chita, Aichi, Japan. 3. Kyoto University Health Service, Kyoto, Japan. 4. Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan. 5. Center for Advanced Medicine and Clinical Research, Nagoya University Hospital, Nagoya, Aichi, Japan.
Abstract
BACKGROUND: gait speed is associated with mortality among the elderly, but evidence for this in Japan is lacking. We investigated the impact of gait speed on mortality among younger-elderly people and determined whether daily walking modifies that association. SUBJECTS: data were obtained from 2,105 community-dwelling individuals (990 men, 1,025 women) approaching age 65 who were free of heart disease, cerebrovascular disease and cancer, and who were enrolled in the New Integrated Suburban Seniority Investigation Project between 1996 and 2003. METHODS: Cox proportional hazard regression was applied to estimate hazard ratios (HRs) of all-cause mortality and 95% confidence intervals (CIs) according to gait speed and daily walking. We adjusted for potential confounders, including survey year, marital status, work status, education, smoking and drinking status, body mass index and medical history. RESULTS: during the total 21,192 person-year follow-up to age 75, 188 participants (140 men, 48 women) died. Slow gait speed was significantly associated with increased all-cause mortality among men after full adjustment (HR, 1.72; 95% CI, 1.08-2.63). This association disappeared when men with slow gait speed walked ≥1 h/day (HR, 0.98; 95% CI, 0.34-2.25) compared with subjects with normal or fast gait speed walking >1 h/day. Slow gait speed yielded a threefold greater risk of mortality when women walked ≥1 h/day (HR, 3.04; 95% CI, 1.34-6.49), compared with the normal- or fast-gait group. CONCLUSION: slow gait speed is associated with an increased risk of all-cause mortality among younger-elderly people. Daily walking was found to modify this association among men.
BACKGROUND: gait speed is associated with mortality among the elderly, but evidence for this in Japan is lacking. We investigated the impact of gait speed on mortality among younger-elderly people and determined whether daily walking modifies that association. SUBJECTS: data were obtained from 2,105 community-dwelling individuals (990 men, 1,025 women) approaching age 65 who were free of heart disease, cerebrovascular disease and cancer, and who were enrolled in the New Integrated Suburban Seniority Investigation Project between 1996 and 2003. METHODS: Cox proportional hazard regression was applied to estimate hazard ratios (HRs) of all-cause mortality and 95% confidence intervals (CIs) according to gait speed and daily walking. We adjusted for potential confounders, including survey year, marital status, work status, education, smoking and drinking status, body mass index and medical history. RESULTS: during the total 21,192 person-year follow-up to age 75, 188 participants (140 men, 48 women) died. Slow gait speed was significantly associated with increased all-cause mortality among men after full adjustment (HR, 1.72; 95% CI, 1.08-2.63). This association disappeared when men with slow gait speed walked ≥1 h/day (HR, 0.98; 95% CI, 0.34-2.25) compared with subjects with normal or fast gait speed walking >1 h/day. Slow gait speed yielded a threefold greater risk of mortality when women walked ≥1 h/day (HR, 3.04; 95% CI, 1.34-6.49), compared with the normal- or fast-gait group. CONCLUSION: slow gait speed is associated with an increased risk of all-cause mortality among younger-elderly people. Daily walking was found to modify this association among men.
Authors: Samuel T H Chew; Geetha Kayambu; Charles Chin Han Lew; Tze Pin Ng; Fangyi Ong; Jonathan Tan; Ngiap Chuan Tan; Shuen-Loong Tham Journal: BMC Geriatr Date: 2021-05-17 Impact factor: 3.921