Yusuke Yoshimura1, Muneaki Ishijima2, Masayoshi Ishibashi3, Liz Liu4, Eri Arikawa-Hirasawa5, Shuichi Machida6, Hisashi Naito6, Chieko Hamada7, Eiki Kominami8. 1. Juntendo University School of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo 113-8421 Japan; Research Institute for Diseases of Old Age, Juntendo University Graduate School of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo 113-8421 Japan. 2. Center of Innovation (COI) Program, Juntendo University Graduate School of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo 113-8421 Japan; Department of Medicine for Orthopaedics and Motor Organ, Juntendo University Graduate School of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo 113-8421 Japan; Sportology Center, Juntendo University Graduate School of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo 113-8421 Japan. Electronic address: ishijima@juntendo.ac.jp. 3. Center of Innovation (COI) Program, Juntendo University Graduate School of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo 113-8421 Japan. 4. Department of Medicine for Orthopaedics and Motor Organ, Juntendo University Graduate School of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo 113-8421 Japan; Sportology Center, Juntendo University Graduate School of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo 113-8421 Japan. 5. Research Institute for Diseases of Old Age, Juntendo University Graduate School of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo 113-8421 Japan; Center of Innovation (COI) Program, Juntendo University Graduate School of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo 113-8421 Japan. 6. Center of Innovation (COI) Program, Juntendo University Graduate School of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo 113-8421 Japan; Graduate School of Health and Sports Science, Juntendo University, Hiraka-gakuenndai 1-1, Inzai-shi, Chiba 270-1965 Japan. 7. Center of Innovation (COI) Program, Juntendo University Graduate School of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo 113-8421 Japan; Juntendo Advanced Research Institute for Health Science (JARIHES), Juntendo University Faculty of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo 113-8421 Japan. 8. Center of Innovation (COI) Program, Juntendo University Graduate School of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo 113-8421 Japan; Juntendo University Faculty of International Liberal Arts, Hongo 2-1-1, Bunkyo-ku, Tokyo 113-8421 Japan.
Abstract
BACKGROUND: We developed the Locomonitor application (app), the world's first iOS app to study locomotive syndrome, using the ResearchKit and examined the prevalence and risk factors for locomotive syndrome in Japanese general individuals 20-69 years old in a nationwide cross-sectional observational study. METHODS: The participants were recruited from February to August 2016. The outcome measures for the locomotive function were evaluated by locomotive syndrome risk tests (LSRTs) using the Locomonitor app. The chi-squared test, a linear-by-linear association trend analysis, and Spearman's correlation test were performed as statistical analyses. RESULTS: A total of 2177 subjects from all prefectures in Japan were included (average 42.2 years old). The Locomo25 and Stand-Up test scores in female participants and the Two-Step test scores in male participants showed age-dependent deterioration. In the overall population, the incidence of Locomo stage 1 and 2, as evaluated by the Locomo25, Stand-Up test or Two-Step test, was 30.2% and 29.2%, respectively. In subjects without locomotive syndrome (40.5%), LSRT scores showed age-dependent deterioration in both sexes. Locomotive syndrome in participants with a body mass index (BMI) of ≥25 kg/m2 was more frequent than in those with a BMI of <25 kg/m2 (age- and gender-adjusted odds ratio [OR] 1.344 [95% confidence interval {CI} 1.03-1.75, p = 0.027]). Locomotive syndrome in participants with an exercise habit was less frequent than in those without an exercise habit (age- and gender-adjusted OR 0.499 [95% CI 0.33-0.755, p < 0.0001]). CONCLUSIONS: The Locomonitor app, a newly developed remote platform, revealed that approximately 20%-30% of Japanese individuals 20-69 years old in the general population met the definition of locomotive syndrome. Locomotive syndrome in participants with obesity was more frequent than those without obesity, while locomotive syndrome in participants with an exercise habit was less frequent than those without an exercise habit.
BACKGROUND: We developed the Locomonitor application (app), the world's first iOS app to study locomotive syndrome, using the ResearchKit and examined the prevalence and risk factors for locomotive syndrome in Japanese general individuals 20-69 years old in a nationwide cross-sectional observational study. METHODS: The participants were recruited from February to August 2016. The outcome measures for the locomotive function were evaluated by locomotive syndrome risk tests (LSRTs) using the Locomonitor app. The chi-squared test, a linear-by-linear association trend analysis, and Spearman's correlation test were performed as statistical analyses. RESULTS: A total of 2177 subjects from all prefectures in Japan were included (average 42.2 years old). The Locomo25 and Stand-Up test scores in female participants and the Two-Step test scores in male participants showed age-dependent deterioration. In the overall population, the incidence of Locomo stage 1 and 2, as evaluated by the Locomo25, Stand-Up test or Two-Step test, was 30.2% and 29.2%, respectively. In subjects without locomotive syndrome (40.5%), LSRT scores showed age-dependent deterioration in both sexes. Locomotive syndrome in participants with a body mass index (BMI) of ≥25 kg/m2 was more frequent than in those with a BMI of <25 kg/m2 (age- and gender-adjusted odds ratio [OR] 1.344 [95% confidence interval {CI} 1.03-1.75, p = 0.027]). Locomotive syndrome in participants with an exercise habit was less frequent than in those without an exercise habit (age- and gender-adjusted OR 0.499 [95% CI 0.33-0.755, p < 0.0001]). CONCLUSIONS: The Locomonitor app, a newly developed remote platform, revealed that approximately 20%-30% of Japanese individuals 20-69 years old in the general population met the definition of locomotive syndrome. Locomotive syndrome in participants with obesity was more frequent than those without obesity, while locomotive syndrome in participants with an exercise habit was less frequent than those without an exercise habit.
Authors: Keiko Sugai; Haruhiko Imamura; Takehiro Michikawa; Keiko Asakura; Yuji Nishiwaki Journal: Int J Environ Res Public Health Date: 2020-10-05 Impact factor: 3.390
Authors: Zachary Wyner; Sascha Dublin; Christina Chambers; Shyam Deval; Chayim Herzig-Marx; Shanthala Rao; Adam Rauch; Juliane Reynolds; Jeffrey S Brown; David Martin Journal: JAMIA Open Date: 2020-12-11