Low Back Pain (LBP)

• Autore: Denaro Vincenzo
• Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
• Descrizione fisica: 1 electronic resource (318 p.)
• Soggetto topico: Technology: general issues; Environmental science, engineering & technology
• Soggetto non controllato: low back pain (LBP); standing position; musculoskeletal pain; sedentary behaviour; back pain; Google Trends; infodemiology; seasonality; Wikipedia; back problems; Low Back Pain Scale; maximum voluntary isometric contraction; postural stability; unexpected external postural perturbations; disability; insurance; low back pain; lumbar decompression; lumbar fusion; musculoskeletal disorders; occupational health; pain; return to work; satisfaction; manual therapy; kinesiophobia; fear of pain; Australian method; Neurac; chronic; underserved; African American; Latino; older adults; workload; wearable assistive device; occupational back-support exoskeleton; EMG; handling task; lumbalgia; physical activity; prevention; public health; occupational safety and health; risk assessment; occupational disorder; knowledge; rehabilitation nurses; patient care; unemployment; gender difference; population attributable fraction; cross-sectional studies; orthopaedics; artificial intelligence; computer vision; digital image processing; deep learning; decision support systems; computer aided diagnosis; sub-threshold lumbar instability; non-radiological lumbar instability; lumbar instability; radiography; lumbar translation; lumbar rotation; screening tool; X-ray; sensitivity; specificity; workplace interventions; workers; work ability; systematic review; meta-analysis; cognitive behavioral therapy; mindfulness-based stress reduction; depression; fear-avoidance beliefs; absenteeism; epidemiology; workplace; epidural steroid injections; lumbosacral radicular pain; disk herniation; canal stenosis; review; pelvic incidence; hip–knee line; anthropometry; ROC curve; reliability; MRI; CT; bone metastasis; bone cancer; lung cancer; prostate cancer; machine learning; radiomics; signature; spinal load; core stability; ergonomics; low-back pain; lower extremity
• Persona (resp. second.): IavicoliSergio; RussoFabrizio; VadalàGianluca; DenaroVincenzo
• Sommario/riassunto: Low back pain (LBP) is a major public health problem, being the most commonly reported musculoskeletal disorder (MSD) and the leading cause of compromised quality of life and work absenteeism. Indeed, LBP is the leading worldwide cause of years lost to disability, and its burden is growing alongside the increasing and aging population. The etiology, pathogenesis, and occupational risk factors of LBP are still not fully understood. It is crucial to give a stronger focus to reducing the consequences of LBP, as well as preventing its onset. Primary prevention at the occupational level remains important for highly exposed groups. Therefore, it is essential to identify which treatment options and workplace-based intervention strategies are effective in increasing participation at work and encouraging early return-to-work to reduce the consequences of LBP. The present Special Issue offers a unique opportunity to update many of the recent advances and perspectives of this health problem. A number of topics will be covered in order to attract high-quality research papers, including the following major areas: prevalence and epidemiological data, etiology, prevention, assessment and treatment approaches, and health promotion strategies for LBP. We have received a wide range of submissions, including research on the physical, psychosocial, environmental, and occupational perspectives, also focused on workplace interventions.
• Altri titoli varianti: Low Back Pain
• Titolo autorizzato: Low Back Pain (LBP)
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910585944703321
• Lo trovi qui: Univ. Federico II