Literature DB >> 23544268

Impact of back muscle strength and aging on locomotive syndrome in community living Japanese women.

Kenichi Hirano1, Shiro Imagama, Yukiharu Hasegawa, Norimitsu Wakao, Akio Muramoto, Naoki Ishiguro.   

Abstract

The Japanese Orthopaedic Association has proposed the term locomotive syndrome (LS) to designate a condition of individuals in high-risk groups with musculoskeletal disease who are highly likely to require nursing care. This study investigates the influence of spinal factors on LS in Japanese females. A total of 187 women > or =50 years old were enrolled in the study. Those answering yes to least one of the 7 categories in the self-assessment checklist for LS were defined as having LS. We evaluated lateral lumbar radiographs, sagittal parameters, sagittal balance using the spinal inclination angle (SIA) as an index, spinal range of motion (ROM) as determined with SpinalMouse, back muscle strength (BMS), and body mass index (BMI). Age, BMI, BMS, SIA, sacral slope angle (SSA), and lumbar spinal ROM showed significant correlations with LS. Multiple logistic regression analysis indicated that an increase in age (OR 1.054, p<0.05) and a decrease in BMS (OR 0.968, p<0.01) were significantly associated with LS. Age had significant negative correlations with BMS, SSA, thoracic and lumbar spinal ROM, and it had positive correlations with BMI, SIA, and lumbar kyphosis. BMS had significant negative correlations with age, SIA, thoracic and lumbar kyphosis, and it had positive correlations with SSA, lumbar and total spinal ROM. An increase in age and a decrease in BMS may be the most important risk factors for LS in Japanese women. Back muscle strengthening and spinal ROM exercises could be useful for improving the status of an individual suffering from LS.

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Year:  2013        PMID: 23544268      PMCID: PMC4345697     

Source DB:  PubMed          Journal:  Nagoya J Med Sci        ISSN: 0027-7622            Impact factor:   1.131


  18 in total

1.  Spinal mobility: sagittal range of motion measured with the SpinalMouse, a new non-invasive device.

Authors:  R B Post; V J M Leferink
Journal:  Arch Orthop Trauma Surg       Date:  2004-02-14       Impact factor: 3.067

2.  Both resistance and agility training reduce back pain and improve health-related quality of life in older women with low bone mass.

Authors:  Teresa Y L Liu-Ambrose; Karim M Khan; Janice J Eng; Stephen R Lord; Brian Lentle; Heather A McKay
Journal:  Osteoporos Int       Date:  2005-02-09       Impact factor: 4.507

3.  Trunk muscle strength is a strong predictor of bone loss in postmenopausal women.

Authors:  Masayuki Iki; Yukie Saito; Etsuko Kajita; Harumi Nishino; Yukinori Kusaka
Journal:  Clin Orthop Relat Res       Date:  2006-02       Impact factor: 4.176

4.  Correlation of back extensor strength with thoracic kyphosis and lumbar lordosis in estrogen-deficient women.

Authors:  M Sinaki; E Itoi; J W Rogers; E J Bergstralh; H W Wahner
Journal:  Am J Phys Med Rehabil       Date:  1996 Sep-Oct       Impact factor: 2.159

5.  Dynamic sagittal imbalance of the spine in degenerative flat back: significance of pelvic tilt in surgical treatment.

Authors:  C S Lee; C K Lee; Y T Kim; Y M Hong; J H Yoo
Journal:  Spine (Phila Pa 1976)       Date:  2001-09-15       Impact factor: 3.468

6.  Home-based trunk-strengthening exercise for osteoporotic and osteopenic postmenopausal women without fracture--a pilot study.

Authors:  M Y Chien; R S Yang; J Y Tsauo
Journal:  Clin Rehabil       Date:  2005-01       Impact factor: 3.477

7.  Differences in thoracic kyphosis and in back muscle strength in women with bone loss due to osteoporosis.

Authors:  Anna Mika; Viswanath B Unnithan; Piotr Mika
Journal:  Spine (Phila Pa 1976)       Date:  2005-01-15       Impact factor: 3.468

8.  Impact of postural deformities and spinal mobility on quality of life in postmenopausal osteoporosis.

Authors:  N Miyakoshi; E Itoi; M Kobayashi; H Kodama
Journal:  Osteoporos Int       Date:  2003-10-14       Impact factor: 4.507

9.  Relationship between bone mineral density of spine and strength of back extensors in healthy postmenopausal women.

Authors:  M Sinaki; M C McPhee; S F Hodgson; J M Merritt; K P Offord
Journal:  Mayo Clin Proc       Date:  1986-02       Impact factor: 7.616

10.  The concept and treatment of locomotive syndrome: its acceptance and spread in Japan.

Authors:  Kozo Nakamura
Journal:  J Orthop Sci       Date:  2011-09       Impact factor: 1.601

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  10 in total

Review 1.  Age-related hyperkyphosis: update of its potential causes and clinical impacts-narrative review.

Authors:  Tayebeh Roghani; Minoo Khalkhali Zavieh; Farideh Dehghan Manshadi; Nicole King; Wendy Katzman
Journal:  Aging Clin Exp Res       Date:  2016-08-18       Impact factor: 3.636

2.  Muscle Functions and Functional Performance among Older Persons with and without Low Back Pain.

Authors:  Nor Azizah Ishak; Zarina Zahari; Maria Justine
Journal:  Curr Gerontol Geriatr Res       Date:  2016-11-02

3.  Lifestyle factors are significantly associated with the locomotive syndrome: a cross-sectional study.

Authors:  Manabu Akahane; Shingo Yoshihara; Akie Maeyashiki; Yasuhito Tanaka; Tomoaki Imamura
Journal:  BMC Geriatr       Date:  2017-10-18       Impact factor: 3.921

4.  Association between Trunk Muscle Strength, Lumbar Spine Bone Mineral Density, Lumbar Scoliosis Angle, and Skeletal Muscle Volume and Locomotive Syndrome in Elderly Individuals: A Dual-Energy X-ray Absorptiometry Study.

Authors:  Hiroto Takenaka; Tatsunori Ikemoto; Junya Suzuki; Masayuki Inoue; Young-Chang Arai; Takahiro Ushida; Masataka Deie; Mitsuhiro Kamiya
Journal:  Spine Surg Relat Res       Date:  2019-12-03

5.  Relationship between rheumatoid arthritis and locomotive syndrome: validation of the 25-question Geriatric Locomotive Function Scale in patients with rheumatoid arthritis.

Authors:  Yasumori Sobue; Toshihisa Kojima; Koji Funahashi; Nobuyuki Okui; Masanori Mizuno; Nobunori Takahashi; Shuji Asai; Nobuyuki Asai; Takuya Matsumoto; Tsuyoshi Nishiume; Mochihito Suzuki; Naoki Ishiguro
Journal:  Nagoya J Med Sci       Date:  2019-08       Impact factor: 1.131

6.  Locomotive Syndrome Stage 1 Predicts Significant Worsening of Future Motor Performance: The Prospective Yakumo Study.

Authors:  Kazuyoshi Kobayashi; Shiro Imagama; Kei Ando; Masaaki Machino; Satoshi Tanaka; Masayoshi Morozumi; Shunsuke Kanbara; Sadayuki Ito; Taro Inoue; Naoki Ishiguro; Yukiharu Hasegawa
Journal:  Biomed Res Int       Date:  2019-10-03       Impact factor: 3.411

7.  Association between locomotive syndrome and the Japanese version of the EQ-5D-5L in middle-aged and elderly people in Japan.

Authors:  Satoshi Tanaka; Kei Ando; Kazuyoshi Kobayashi; Taisuke Seki; Takashi Hamada; Masaaki Machino; Kyotaro Ota; Masayoshi Morozumi; Shunsuke Kanbara; Sadayuki Ito; Naoki Ishiguro; Yukiharu Hasegawa; Shiro Imagama
Journal:  Nagoya J Med Sci       Date:  2020-02       Impact factor: 1.131

Review 8.  Locomotive Syndrome and Lumbar Spine Disease: A Systematic Review.

Authors:  Takaomi Kobayashi; Tadatsugu Morimoto; Koji Otani; Masaaki Mawatari
Journal:  J Clin Med       Date:  2022-02-27       Impact factor: 4.241

9.  Thoracic and Lumbar Sagittal Spinal Curvature Adaptations between Elite Iranian Road and Speed Cyclists.

Authors:  Motahareh Hashem Boroojerdi; Abbas Rahimi; Mohammad Mohsen Roostayi; Saeed Moghaddam Talebian; Mohammad Yousefi; Edgar Shamounian; Mahmoud Norouzi
Journal:  J Biomed Phys Eng       Date:  2021-06-01

10.  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

  10 in total

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