Literature DB >> 30126297

Predictors of locomotive syndrome in community-living people: A prospective five-year longitudinal study.

Kazuyoshi Kobayashi1, Kei Ando1, Mikito Tsushima1, Masaaki Machino1, Kyotaro Ota1, Masayoshi Morozumi1, Satoshi Tanaka1, Shunsuke Kanbara1, Naoki Ishiguro1, Yukiharu Hasegawa2, Shiro Imagama1.   

Abstract

Objectives: Locomotive syndrome (LS) in middle-aged and elderly people has a high risk of a need for nursing care. The goal of the study was to examine predictors of LS in a prospective longitudinal study.
Methods: The subjects were 205 people (87 males, 118 females) aged >40 years who underwent physical examinations and completed health questionnaires in health checkups in the Yakumo study in 2011 and 2016. LS was defined as ≥16 on the 25-Question Geriatric Locomotive Function Scale (GLFS-25). Subjects with LS in 2011 were excluded. Associations of all variables with the GLFS-25 score were analyzed using univariate and multivariate analyses. A receiver operating characteristic (ROC) curve for each physical measurement test was constructed to determine the best threshold value.
Results: The subjects were divided into LS (n = 21) and non-LS (n = 184) groups, based on the 2016 checkup. In multivariate analysis, GLFS-25 (odds ratio [OR] = 1.437; p < 0.01), one-leg standing time (OR= 1.043, p < 0.05), and back muscle strength (OR =0.961, p <0.05) were significant predictors of LS. ROC analyses gave GLFS-25 scores of 6.2 and 6.8, one-leg standing times of 26.8 and 23.3 s, and back muscle strengths of 75.2 and 49.5 kg as thresholds for prediction of future LS in males and females, respectively. Conclusions: GLFS-25 score, one-leg standing time, and back muscle strength were identified as significant risk factors for LS in community-dwelling people, and threshold values were determined for these factors in a longitudinal study. For elderly people, these indicators could be predictors of locomotive syndrome, and may have validity for assessment of improvement of physical abilities through muscle training and body balance training.

Entities:  

Keywords:  Locomotive syndrome risk; middle-aged and elderly people; prospective study; quality of life

Mesh:

Year:  2018        PMID: 30126297     DOI: 10.1080/14397595.2018.1514705

Source DB:  PubMed          Journal:  Mod Rheumatol        ISSN: 1439-7595            Impact factor:   3.023


  4 in total

1.  Relationship of frequency of participation in a physical checkup and physical fitness in middle-aged and elderly people: the Yakumo study.

Authors:  Kazuyoshi Kobayashi; Kei Ando; Hiroaki Nakashima; Masaaki Machino; Shunsuke Kanbara; Sadayuki Ito; Taro Inoue; Hidetoshi Yamaguchi; Hiroyuki Koshimizu; Naoki Segi; Yukiharu Hasegawa; Shiro Imagama
Journal:  Nagoya J Med Sci       Date:  2021-11       Impact factor: 1.131

2.  Improvement of locomotive syndrome with surgical treatment in patients with degenerative diseases in the lumbar spine and lower extremities: a prospective cohort study.

Authors:  Satoshi Kato; Yuki Kurokawa; Tamon Kabata; Satoru Demura; Hidenori Matsubara; Yoshitomo Kajino; Yoshiyuki Okamoto; Hiroaki Kimura; Kazuya Shinmura; Kentaro Igarashi; Takaki Shimizu; Noritaka Yonezawa; Noriaki Yokogawa; Hiroyuki Tsuchiya
Journal:  BMC Musculoskelet Disord       Date:  2020-08-03       Impact factor: 2.362

3.  Musculoskeletal Factors and Geriatric Syndromes Related to the Absence of Musculoskeletal Degenerative Disease in Elderly People Aged over 70 Years.

Authors:  Shiro Imagama; Kei Ando; Kazuyoshi Kobayashi; Taisuke Seki; Shinya Ishizuka; Masaaki Machino; Satoshi Tanaka; Masayoshi Morozumi; Shunsuke Kanbara; Sadayuki Ito; Taro Inoue; Hiroaki Nakashima; Naoki Ishiguro; Yukiharu Hasegawa
Journal:  Biomed Res Int       Date:  2019-11-18       Impact factor: 3.411

4.  Influence of Global Spine Sagittal Balance and Spinal Degenerative Changes on Locomotive Syndrome Risk in a Middle-Age and Elderly Community-Living Population.

Authors:  Masaaki Machino; Kei Ando; Kazuyoshi Kobayashi; Hiroaki Nakashima; Shunsuke Kanbara; Sadayuki Ito; Taro Inoue; Hidetoshi Yamaguchi; Hiroyuki Koshimizu; Taisuke Seki; Shinya Ishizuka; Yasuhiko Takegami; Naoki Ishiguro; Yukiharu Hasegawa; Shiro Imagama
Journal:  Biomed Res Int       Date:  2020-09-23       Impact factor: 3.411

  4 in total

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