Prevalence/incidence of low back pain and associated risk factors among nursing and medical students: A systematic review and meta‐analysis

PM&R ◽  
2021 ◽  
Author(s):  
Arnold YL Wong ◽  
Lloyd LY Chan ◽  
Cathy WT Lo ◽  
Winnie CW Chan ◽  
Kelvin CK Lam ◽  
...  
2020 ◽  
Vol 48 ◽  
pp. 102154 ◽  
Author(s):  
M. Wiezer ◽  
M.A.H. Hage-Fransen ◽  
A. Otto ◽  
M.S. Wieffer-Platvoet ◽  
M.H. Slotman ◽  
...  

2014 ◽  
Vol 14 (10) ◽  
pp. 2299-2319 ◽  
Author(s):  
Jeffrey B. Taylor ◽  
Adam P. Goode ◽  
Steven Z. George ◽  
Chad E. Cook

2018 ◽  
Vol 10 (6) ◽  
pp. 538-546 ◽  
Author(s):  
Jo Armour Smith ◽  
Andrew Hawkins ◽  
Marybeth Grant-Beuttler ◽  
Richard Beuttler ◽  
Szu-Ping Lee

Context: Low back pain is common in golfers. The risk factors for golf-related low back pain are unclear but may include individual demographic, anthropometric, and practice factors as well as movement characteristics of the golf swing. Objective: The aims of this systematic review were to summarize and synthesize evidence for factors associated with low back pain in recreational and professional golfers. Data Sources: A systematic literature search was conducted using the PubMed, CINAHL, and SPORTDiscus electronic databases through September 2017. Study Selection: Studies were included if they quantified demographic, anthropometric, biomechanical, or practice variables in individuals with and without golf-related low back pain. Study Design: Systematic review and meta-analysis. Level of Evidence: Level 3. Data Extraction: Studies were independently reviewed for inclusion by 2 authors, and the following data were extracted: characterization of low back pain, participant demographics, anthropometrics, biomechanics, strength/flexibility, and practice characteristics. The methodological quality of studies was appraised by 3 authors using a previously published checklist. Where possible, individual and pooled effect sizes of select variables of interest were calculated for differences between golfers with and without pain. Results: The search retrieved 73 articles, 19 of which met the inclusion criteria (12 case-control studies, 5 cross-sectional studies, and 2 prospective longitudinal studies). Methodological quality scores ranged from 12.5% to 100.0%. Pooled analyses demonstrated a significant association between increased age and body mass and golf-related low back pain in cross-sectional/case-control studies. Prospective data indicated that previous history of back pain predicts future episodes of pain. Conclusion: Individual demographic and anthropometric characteristics may be associated with low back pain, but this does not support a relationship between swing characteristics and the development of golf-related pain. Additional high-quality prospective studies are needed to clarify risk factors for back pain in golfers.


2020 ◽  
Vol 90 ◽  
pp. 104177 ◽  
Author(s):  
Lorena K.B. Amaral ◽  
Mateus B. Souza ◽  
Mariana G.M. Campos ◽  
Vanessa A. Mendonça ◽  
Alessandra Bastone ◽  
...  

2021 ◽  
Vol 140 ◽  
pp. 111727
Author(s):  
Mingxiao Yang ◽  
Susan Q. Li ◽  
Colleen M. Smith ◽  
Yi Lily Zhang ◽  
Ting Bao ◽  
...  

Author(s):  
Le Ge ◽  
Chuhuai Wang ◽  
Haohan Zhou ◽  
Qiuhua Yu ◽  
Xin Li

Abstract Background Research suggests that individuals with low back pain (LBP) may have poorer motor control compared to their healthy counterparts. However, the sample population of almost 90% of related articles are young and middle-aged people. There is still a lack of a systematic review about the balance performance of elderly people with low back pain. This study aimed to conduct a systematic review and meta-analysis to understand the effects of LBP on balance performance in elderly people. Methods This systematic review and meta-analysis included a comprehensive search of PubMed, Embase, and Cochrane Library databases for full-text articles published before January 2020. We included the articles that 1) investigated the elderly people with LBP; 2) assessed balance performance with any quantifiable clinical assessment or measurement tool and during static or dynamic activity; 3) were original research. Two independent reviewers screened the relevant articles, and disagreements were resolved by a third reviewer. Results Thirteen case-control studies comparing balance performance parameters between LBP and healthy subjects were included. The experimental group (LBP group) was associated with significantly larger area of centre of pressure movement (P < 0.001), higher velocity of centre of pressure sway in the anteroposterior and mediolateral directions (P = 0.01 and P = 0.02, respectively), longer path length in the anteroposterior direction (P < 0.001), slower walking speed (P = 0.05), and longer timed up and go test time (P = 0.004) than the control group. Conclusion The results showed that balance performance was impaired in elderly people with LBP. We should pay more attention to the balance control of elderly people with LBP.


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