scholarly journals Spinopelvic Anatomic Parameters Prediction Model of NSLBP based on open dataset

2020 ◽  
Vol 5 (9) ◽  
Keyword(s):  
Regression Analysis ◽  
Low Back Pain ◽  
Back Pain ◽  
Prediction Model ◽  
Open Data ◽  
Predictive Ability ◽  
Sacral Slope ◽  
Low Back ◽  
Data Set ◽  
Spinopelvic Parameter

Objective: The purpose of this study is to perform analysis through the low back pain open data set to predict the incidence of non-specific chronic low back pain (NSLBP) to obtain a more accurate and convenient sagittal spinopelvic parameter model.Methods: The logistic regression analysis and multilayer perceptron (MLP) algorithm is used to construct a NSLBP prediction model based on the parameters of the spinopelvic parameters from open data source.Results: Degree of spondylolisthesis (DS), Pelvic radius (PR), Sacral slope (SS), Pelvic tilt (PT) are four predictors screened out by regression analysis that have significant predictive power for the risk of NSLBP. The overall accuracy of the equation prediction model is 85.8%.The MLP network algorithm determines that DS is the most powerful predictor of NSLBP through more precise modeling. The model has good predictive ability of 95.2% of accuracy.Conclusions: MLP models play a more accurate role in the construction of predictive models. Computer science is playing a greater role in helping precision medicine clinical research.

scholarly journals Factors associating with disability of non-specific low back pain in different subgroups: A hierarchical linear regression analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Takahiro Miki ◽  
Daisuke Higuchi ◽  
Tsuneo Takebayashi ◽  
Mina Samukawa
Keyword(s):  
Regression Analysis ◽  
Low Back Pain ◽  
Back Pain ◽  
Pain Intensity ◽  
Psychosocial Factors ◽  
Self Efficacy ◽  
Explanatory Power ◽  
Low Back ◽  
Acute Group ◽  
Pain Catastrophising

AbstractThis study aimed to explore factors associating with disability, which means physical impairment affecting a person’s mobility, capacity, stamina, or agility, of non-specific low back pain (NSLBP) of the acute and non-acute groups. Two hundred thirty-five patients with NSLBP of less than 8 weeks’ duration as acute groups (n = 124) and more than 8 weeks’ duration as non-acute group (n = 111) were recruited. It was collected data on pain intensity, disability and psychosocial factors, including pain catastrophising, fear of movement and pain self-efficacy. Disability was measured Roland Morris Disability Questionnaire. A hierarchical multiple regression analysis was performed to analyse factors associating with disability of the acute and non-acute groups. The Result was that explanatory power increased with each additional variable of the order of demographic characteristics, pain intensity and psychosocial factors for both groups. Pain intensity, pain catastrophising and pain self-efficacy had significant explanatory power, with pain self-efficacy having the most significant association on the acute group. Only pain self-efficacy having the most significant association on disability of the non-acute group. In conclusion, the factors associating with disability differed depending on the duration of the disease, and pain self-efficacy might be one of the factors associating with disability of patients with NSLBP.

scholarly journals The prevalence and risk factors of chronic low back pain among adults in KwaZulu-Natal, South Africa: an observational cross-sectional hospital-based study

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Morris Kahere ◽  
Themba Ginindza
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Low Back Pain ◽  
Back Pain ◽  
Formal Education ◽  
Sedentary Lifestyle ◽  
Low Back ◽  
Cross Sectional ◽  
Physical Exercises ◽  
Kwazulu Natal

Abstract Background Globally, chronic low back pain (CLBP) is the leading cause of disability associated with economic costs. However, it has received little attention in low-and-middle-income countries. This study estimated the prevalence and risk factors of CLBP among adults presenting at selected hospitals in KwaZulu-Natal. Methodology This cross-sectional study was conducted among adults aged ≥18 years who attended the selected hospitals in KwaZulu-Natal during the study period. A self-administered questionnaire was used to collect data on socio-demographic, work-related factors, and information about CLBP. The SPSS version 24.0 (IBM SPSS Inc) was used for data analysis. Descriptive statistics were used for demographic characteristics of participants. CLBP risk factors were assessed using multivariate logistic regression analysis. A p-value of ≤0.05 was deemed statistically significant. Results A total of 678 adults participated in this study. The overall prevalence of CLBP was 18.1% (95% CI: 15.3 – 21.3) with females having a higher prevalence than males, 19.8% (95% CI: 16.0 – 24.1) and 15.85% (95% CI: 11.8 – 20.6), respectively. Using multivariate regression analysis, the following risk factors were identified: overweight (aOR: 3.7, 95% CI: 1.1 – 12.3, p = 0.032), no formal education (aOR: 6.1, 95% CI: 2.1 – 18.1, p = 0.001), lack of regular physical exercises (aOR: 2.2, 95% CI: 1.0 – 4.8, p = 0.044), smoking 1 to 10 (aOR: 4.5, 95% CI: 2.0 – 10.2, p < 0.001) and more than 11 cigarettes per day (aOR: 25.3, 95% CI: 10.4 – 61.2, p < 0.001), occasional and frequent consumption of alcohol, aOR: 2.5, 95% CI: 1.1 – 5.9, p < 0.001 and aOR: 11.3, 95% CI: 4.9 – 25.8, p < 0.001, respectively, a sedentary lifestyle (aOR: 31.8, 95% CI: 11.2 – 90.2, p < 0.001), manual work (aOR: 26.2, 95% CI: 10.1 – 68.4, p < 0.001) and a stooped sitting posture (aOR: 6.0, 95% CI: 2.0 – 17.6, p = 0.001). Conclusion This study concluded that the prevalence of CLBP in KwaZulu-Natal is higher than in other regions, and that it is predicted by a lack of formal education, overweight, lack of regular physical exercises, smoking, alcohol consumption, sedentary lifestyle, manual work, and a stooped posture.

scholarly journals Sagittal spinal-pelvic alignment in patients with Crowe type IV developmental dysplasia of the hip

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Peng Ren ◽  
Xiangpeng Kong ◽  
Wei Chai ◽  
Yan Wang
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Vertical Axis ◽  
Developmental Dysplasia ◽  
Sacral Slope ◽  
Low Back ◽  
Sagittal Vertical Axis ◽  
Type Iv ◽  
The Impact ◽  
Dysplasia Of The Hip

Abstract Background The impact of high dislocated dysplastic hips on spinal-pelvic alignment has not been well described. This study aims to evaluate compensatory spinal radiographic changes and presence of back pain in patients with Crowe type IV developmental dysplasia of the hip (DDH). Methods An observational study was conducted from July 2016 to December 2017, and 49 consecutive patients with Crowe IV DDH were enrolled. Forty-nine sex- and age-matched asymptomatic healthy adults were recruited as the controls. The sacral slope (SS), lumbar lordosis (LL), spino-sacral angle (SSA), C7 tilt (C7T), and sagittal vertical axis (SVA [C7]) were measured on lateral whole spine radiographs. The presence of low back pain and visual analogue scale (VAS) scores were recorded. Results The patients with Crowe IV DDH showed significantly greater SS (47.5 ± 7.5° vs. 40.4 ± 6.7°, p < 0.05), LL (− 63.7 ± 9.2° vs. − 53.3 ± 11.5°, P < 0.05), SSA (141.8° ± 7.2° vs. 130.6 ± 7.9°, p < 0.05), C7T (93.9 ± 3.6° vs. 91.1 ± 3.7°, P < 0.05), and lower SVA(C7) (− 16 mm[− 95–45] vs. 6.4 mm[− 52–47], p < 0.05) compared to the controls. The patients with bilateral Crowe IV DDH also exhibited larger SS, LL, SSA, and C7T and a smaller SVA (C7) than those with unilateral Crowe IV DDH. Sixty-three percent of the patients with Crowe IV DDH reported low back pain. Conclusion The patients with Crowe IV DDH exhibited abnormal spinal-pelvic alignment characterized by anterior pelvic tilt, lumbar hyperlordosis, and a backward-leaning trunk. Bilateral Crowe IV DDH had a greater impact on spinal-pelvic alignment than unilateral Crowe IV DDH.

Emotional Distress Correlates Among Patients With Chronic Nonspecific Low Back Pain: A Hierarchical Linear Regression Analysis

Pain Practice ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 510-521 ◽  
Author(s):  
Shizheng Du ◽  
Yan Hu ◽  
Yamei Bai ◽  
Lingli Hu ◽  
Jianshu Dong ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Low Back Pain ◽  
Back Pain ◽  
Linear Regression ◽  
Emotional Distress ◽  
Linear Regression Analysis ◽  
Low Back

The predictive ability of the start back screening tool was limited in a cohort with chronic low back pain

2016 ◽  
Vol 25 ◽  
pp. e37-e38 ◽  
Author(s):  
M. Kendell ◽  
D. Beales ◽  
A. Smith ◽  
P. O'Sullivan ◽  
M. Rabey
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Chronic Low Back Pain ◽  
Screening Tool ◽  
Predictive Ability ◽  
Low Back ◽  
Start Back Screening Tool

scholarly journals Plausibility of Using a Checklist With YouTube to Facilitate the Discovery of Acute Low Back Pain Self-Management Content: Exploratory Study

10.2196/23366 ◽  
2020 ◽  
Vol 4 (11) ◽  
pp. e23366
Author(s):  
Andrey Zheluk ◽  
Jess Maddock
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Information Quality ◽  
Self Management ◽  
Low Back ◽  
Data Set ◽  
Management Intervention ◽  
Acute Low Back Pain ◽  
Youtube Videos

Background Access to guideline-consistent effective care for acute low back pain (ALBP) is generally regarded as limited. Researchers have recognized the potential of YouTube as a clinical and patient education resource that may improve access to appropriate care. However, the heterogeneity of evaluation approaches and variable quality of health information have generally limited the potential of YouTube as a self-management intervention. Objective This study aims to increase the understanding of ALBP content available on YouTube in 2020 and to establish the plausibility of using a simple checklist to facilitate the discovery of YouTube content consistent with current guidelines. We examined the following 4 research questions: how was the data set defined, what are the metadata characteristics of the videos in the data set, what is the information quality of ALBP YouTube videos, and what are the characteristics of the YouTube data set based on an ALBP self-management checklist? Methods This was an exploratory, qualitative infodemiology study. We identified videos in our data set through YouTube search based on popular ALBP-relevant search terms identified through Google Trends for YouTube. We accessed YouTube metadata using the YouTube data tools developed by the University of Amsterdam. We used a modified Brief DISCERN checklist to examine the information quality. We developed a checklist based on the 2018 Lancet Low Back Pain guidelines to examine self-management content. Results We analyzed a data set of 202 YouTube videos authored by chiropractors, physicians, physiotherapists, and instructors of yoga and other disciplines. We identified clear differences in the ALBP videos in our data set based on the authors’ disciplines. We found that the videos authored by each discipline strongly featured a specific intervention domain, that is, education, treatment, or exercise. We also found that videos authored by physicians were consistently coded with the highest ALBP self-management content scores than all other disciplines. Conclusions The results returned by YouTube in response to a search for back pain–related content were highly variable. We suggest that a simple checklist may facilitate the discovery of guideline-concordant ALBP self-management content on YouTube. Further research may identify the clinical contexts in which the use of an ALBP checklist with YouTube is feasible.

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