scholarly journals Multiple Logistic Regression on Factors Affecting Low Back Pain among Outpatients in The Physical Rehabilitation Polyclinic

2019 ◽  
Author(s):  
Septi Ayu Arum Yuspita Sari ◽  
◽  
Dono Indarto ◽  
Mahendra Wijaya ◽  
◽  
...  
Keyword(s):  
Logistic Regression ◽  
Low Back Pain ◽  
Back Pain ◽  
Physical Rehabilitation ◽  
Low Back ◽  
Multiple Logistic Regression ◽  
Factors Affecting

scholarly journals Use of Electronic Health Records for Early Detection of High-Cost, Low Back Pain Patients

2015 ◽  
Vol 20 (5) ◽  
pp. 234-240 ◽  
Author(s):  
Daniel D Maeng ◽  
Walter F Stewart ◽  
Xiaowei Yan ◽  
Joseph A Boscarino ◽  
Jack Mardekian ◽  
...  
Keyword(s):  
Primary Care ◽  
Logistic Regression ◽  
Low Back Pain ◽  
Back Pain ◽  
Care Provider ◽  
Regression Models ◽  
Low Back ◽  
Health Records ◽  
Logistic Regression Models ◽  
Electronic Health

BACKGROUND: Low back pain (LBP) is a debilitating condition that is complex to manage. One reason is that clinicians lack means to identify early on patients who are likely to become high care utilizers.OBJECTIVE: To explore the feasibility of developing a ‘dynamic’ predictive model using electronic health record data to identify costly LBP patients within the first year after their initial LBP encounter with a primary care provider. Dynamic, in this context, indicates a process in which the decision on how to manage patients is dependent on whether they are at their first, second or third LBP visit with the provider.METHODS: A series of logistic regression models was developed to predict who will be a high-cost patient (defined as top 30% of the cost distribution) at each of the first three LBP visits.RESULTS: The c-statistics of the three logistic regression models corresponding to each of the first three visits were 0.683, 0.795 and 0.741, respectively. The overall sensitivity of the model was 42%, the specificity was 86% and the positive predictive value was 48%. Men were more likely to become expensive than women, while patients who had workers’ compensation as their primary payer type had higher use of prescription opioid drugs or were smokers before the first LBP visit were also more likely to become expensive.CONCLUSION: The results suggest that it is feasible to develop a dynamic, primary care provider visit-based predictive model for LBP care based on longitudinal data obtained via electronic health records.

scholarly journals Factors associated with disabling low back pain among nursing personnel at a medical centre in Japan: a comparative cross-sectional survey

BMJ Open ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. e032297 ◽  
Author(s):  
Takahiko Yoshimoto ◽  
Hiroyuki Oka ◽  
Shuhei Ishikawa ◽  
Akatsuki Kokaze ◽  
Shingo Muranaga ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Low Back Pain ◽  
Back Pain ◽  
Nursing Personnel ◽  
Low Back ◽  
Cross Sectional ◽  
Previous Episode ◽  
Factors Associated ◽  
Self Administered Questionnaire

ObjectivesLow back pain (LBP) is a common cause of disability among nursing personnel. Although many studies regarding the risk factors for LBP among nursing staff have focused on the physical load at work, multidimensional assessments of risk factors are essential to identify appropriate preventive strategies. We aimed to investigate the association of multidimensional factors (individual, physical, psychological and occupational) with disabling LBP among nursing personnel in Japan.DesignObservational study with comparative cross-sectional design.SettingData were collected using the self-administered questionnaire at a tertiary medical centre.ParticipantsAfter excluding participants with missing variables, 718 nursing personnel were included in the analysis.Outcome measuresA self-administered questionnaire assessed individual characteristics, rotating night shift data, severity of LBP, previous episode of LBP, sleep problem, kinesiophobia (Tampa Scale for Kinesiophobia), depressive condition (K6), physical flexibility and frequency of lifting at work. A logistic regression model was used to evaluate the factors associated with disabling LBP (LBP interfering with work) among nursing personnel.ResultsOf all participants, 110 (15.3%) reported having disabling LBP. The multivariable logistic regression analysis after adjustment for several confounding factors showed that kinesiophobia (highest tertile, adjusted OR (aOR): 6.13, 95% CI : 3.34 to 11.27), previous episode of LBP (aOR: 4.31, 95% CI: 1.50 to 12.41) and insomnia (aOR: 1.66, 95% CI: 1.05 to 2.62) were significantly associated with disabling LBP.ConclusionsThe present study indicated that kinesiophobia, a previous episode of LBP, and sleep problems were associated with disabling LBP among nursing personnel. In the future, workplace interventions considering assessments of these factors may reduce the incidence of disabling LBP in nursing staff, although further prospective studies are needed.

scholarly journals The strategical frameworks of the physical rehabilitation in surgical treatment of the patients with low back pain

2014 ◽  
Vol 18 (12) ◽  
pp. 70-76
Author(s):  
Olena Lazarieva ◽  
◽  
Miroslawa Cieslicka ◽  
Blazej Stankiewicz ◽  
Radoslaw Muszkieta ◽  
...  
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Surgical Treatment ◽  
Physical Rehabilitation ◽  
Low Back

Mechanical Compression Affects Nutritional Transport in Human Intervertebral Disc

2010 ◽  
Author(s):  
Alicia R. Jackson ◽  
Tai-Yi Yuan ◽  
Chun-Yuh Huang ◽  
Wei Yong Gu
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Intervertebral Disc ◽  
Human Body ◽  
Mechanical Strain ◽  
Low Back ◽  
Mechanical Compression ◽  
Factors Affecting ◽  
Disc Cells ◽  
Strain Dependent

Although the exact cause is not clear, low back pain has been attributed to degeneration of the intervertebral disc (IVD) of the spine, which has been linked to poor nutritional supply to the disc. Because the IVD is the largest avascular structure in the human body, disc cells must rely on diffusional transport for delivery of important nutrients, such as oxygen and glucose, from the surrounding vasculature. Thus, understanding factors affecting nutritional supply to the cells is important in elucidating the etiology of disc degeneration and related back pain. While knowledge of how mechanical strain affects nutritional transport is important in understanding these phenomena, little can be found in the literature regarding strain-dependent diffusion of nutrients in human IVD.

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