Masahiro Inoue1, Sumihisa Orita2, Kazuhide Inage2, Miyako Suzuki2, Kazuki Fujimoto3, Yasuhiro Shiga2, Hirohito Kanamoto4, Koki Abe2, Hideyuki Kinoshita5, Masaki Norimoto2, Tomotaka Umimura2, Takashi Sato2, Masashi Sato2, Masahiro Suzuki2, Keigo Enomoto2, Yawara Eguchi6, Yasuchika Aoki7, Tsutomu Akazawa8, Yohei Kawasaki9, Seiji Ohtori2. 1. Department of Orthopaedic Surgery, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8670, Japan. masain_96@hotmail.com. 2. Department of Orthopaedic Surgery, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8670, Japan. 3. Department of Orthopaedic Surgery, Saiseikai Narashino Hospital, 1-1-1 Izumi-cho, Narashino City, Chiba, 275-8580, Japan. 4. Department of Orthopaedic Surgery, Kanamoto Orthopaedics Clinic, 740-7 Matunaga, Numazu City, Shizuoka, 410-0874, Japan. 5. Department of Orthopaedic Surgery, Shimoshizu National Hospital, 934-5 Kawatari, Yotsukaido City, Chiba, 284-0003, Japan. 6. Department of Orthopaedic Surgery, Chiba Cancer Center, 666-2 Nitona-cho, Chuo-ku, Chiba, 260-0801, Japan. 7. Department of Orthopaedic Surgery, Eastern Chiba Medical Center, 3-6-2 Okayamadai, Togane City, Chiba, 283-8686, Japan. 8. Department of Orthopaedic Surgery, St. Marianna University School of Medicine, 2-16-1 Sugao, Miyamae-ku, Kawasaki, Kanagawa, 216-8511, Japan. 9. Biostatistics Section, Clinical Research Center, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8677, Japan.
Abstract
PURPOSES: To evaluate whether a relationship exists between patient-based scoring systems and the activity level of patients with low back pain (LBP) by using wearable activity trackers, and to determine whether activity level was affected by patient factors. METHODS: The subjects were 66 patients with LBP. The physical activity of participants was objectively evaluated using the Micro-Motion logger (Actigraph). The activity level was analyzed with the mean active count of the proportional-integrating mode (PMAC) and zero-crossing mode. Clinical symptoms were evaluated using the Japanese Orthopaedic Association Back Pain Evaluation Questionnaire (JOABPEQ), Roland-Morris Disability Questionnaire, the Oswestry Disability Index, and visual analog scale (VAS). The relationships between each item of the patient-based questionnaire and activity level, and the influence of individual factors (age, sex, body mass index [BMI], low back pain, and muscle mass) on the activity level were evaluated. RESULTS: In each domain of the JOABPEQ, lumbar spine dysfunction and social life dysfunction were correlated with PMAC (r = 0.327 and 0.321, respectively). The low back pain VAS scores were correlated with PMAC (r = - 0.246). Multiple regression analysis shows that individual factors affecting the activity level of patients with LBP were sex, BMI, low back pain, and muscle mass in PMAC (p < 0.01). CONCLUSIONS: Some domains of the questionnaires were correlated with activity level, but others were not. Additionally, the activity level of patients with LBP was affected by sex, BMI, LBP, and skeletal muscle mass index. These slides can be retrieved under Electronic Supplementary Material.
PURPOSES: To evaluate whether a relationship exists between patient-based scoring systems and the activity level of patients with low back pain (LBP) by using wearable activity trackers, and to determine whether activity level was affected by patient factors. METHODS: The subjects were 66 patients with LBP. The physical activity of participants was objectively evaluated using the Micro-Motion logger (Actigraph). The activity level was analyzed with the mean active count of the proportional-integrating mode (PMAC) and zero-crossing mode. Clinical symptoms were evaluated using the Japanese Orthopaedic Association Back Pain Evaluation Questionnaire (JOABPEQ), Roland-Morris Disability Questionnaire, the Oswestry Disability Index, and visual analog scale (VAS). The relationships between each item of the patient-based questionnaire and activity level, and the influence of individual factors (age, sex, body mass index [BMI], low back pain, and muscle mass) on the activity level were evaluated. RESULTS: In each domain of the JOABPEQ, lumbar spine dysfunction and social life dysfunction were correlated with PMAC (r = 0.327 and 0.321, respectively). The low back pain VAS scores were correlated with PMAC (r = - 0.246). Multiple regression analysis shows that individual factors affecting the activity level of patients with LBP were sex, BMI, low back pain, and muscle mass in PMAC (p < 0.01). CONCLUSIONS: Some domains of the questionnaires were correlated with activity level, but others were not. Additionally, the activity level of patients with LBP was affected by sex, BMI, LBP, and skeletal muscle mass index. These slides can be retrieved under Electronic Supplementary Material.
Entities:
Keywords:
Low back pain; Lumbar spine disease; Patient-based questionnaire; Quality of life; Wearable activity tracker
Authors: Marjolein Visser; Bret H Goodpaster; Stephen B Kritchevsky; Anne B Newman; Michael Nevitt; Susan M Rubin; Eleanor M Simonsick; Tamara B Harris Journal: J Gerontol A Biol Sci Med Sci Date: 2005-03 Impact factor: 6.053
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