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Journal Abstract Search

183 related items for PubMed ID: 28739018

  • 1. Prediction Effects of Personal, Psychosocial, and Occupational Risk Factors on Low Back Pain Severity Using Artificial Neural Networks Approach in Industrial Workers.
    Darvishi E, Khotanlou H, Khoubi J, Giahi O, Mahdavi N.
    J Manipulative Physiol Ther; 2017 Sep; 40(7):486-493. PubMed ID: 28739018
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  • 4. Attributions, stress, and work-related low back pain.
    Byrns G, Agnew J, Curbow B.
    Appl Occup Environ Hyg; 2002 Nov; 17(11):752-64. PubMed ID: 12419103
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  • 5. Potential risk factors of persistent low back pain developing from mild low back pain in urban Japanese workers.
    Matsudaira K, Konishi H, Miyoshi K, Isomura T, Inuzuka K.
    PLoS One; 2014 Nov; 9(4):e93924. PubMed ID: 24714616
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  • 6. Prediction of hearing loss among the noise-exposed workers in a steel factory using artificial intelligence approach.
    Aliabadi M, Farhadian M, Darvishi E.
    Int Arch Occup Environ Health; 2015 Aug; 88(6):779-87. PubMed ID: 25432298
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  • 8. Potential risk factors for new onset of back pain disability in Japanese workers: findings from the Japan epidemiological research of occupation-related back pain study.
    Matsudaira K, Konishi H, Miyoshi K, Isomura T, Takeshita K, Hara N, Yamada K, Machida H.
    Spine (Phila Pa 1976); 2012 Jul 01; 37(15):1324-33. PubMed ID: 22246538
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  • 16. Development of a risk score for low back pain in office workers--a cross-sectional study.
    Janwantanakul P, Pensri P, Moolkay P, Jiamjarasrangsi W.
    BMC Musculoskelet Disord; 2011 Jan 25; 12():23. PubMed ID: 21261997
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  • 19. Are religious beliefs and practices of Buddhism associated with disability and salivary cortisol in office workers with chronic low back pain?
    Sooksawat A, Janwantanakul P, Tencomnao T, Pensri P.
    BMC Musculoskelet Disord; 2013 Jan 17; 14():29. PubMed ID: 23324474
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