Low Back Pain Research Paper

Background:
Low back pain (LBP) is common among office workers and is the most common cause of workrelated disability in people under 45 years of age. The aetiology of LBP is widely accepted to be multi-factorial.
Prognostic research into office workers at risk of developing LBP has received limited attention. The aims of this study were to develop a risk score to identify office workers likely to have LBP and to evaluate its predictive power.

Objective:
The objective of this study was to determine the non specific back pain in the office worker of the university of the Hail.
Sitting:
University of Hail, female campus
Methodology:
Cross-sectional descriptive study using self-administered questionnaire. Quetelet Index (wt/ht2) was used to

LBP is common among office workers with the one-year prevalence ranging from 23% to 38% [3-5]. LBP is the most common cause of workrelated disability in people under 45 years of age and the most expensive cause of work-related disability, in terms of workers’ compensation and medical expenses
[6].
The etiology of LBP is not fully understood but is assumed to be of multi-factorial origin, indicating that individual, physical and psychosocial factors can contribute to their development and persistence [8]. Previous studies have identified several individual factors associated with LBP including female [4], level of education [9], smoking [10], sleep deprivation [11], prolonged driving [12]. Regarding work-related risk factors, accumulated computer usage has been linked to increased risk of LBP [13]. Sitting for more than half a work day in combination with awkward postures or frequently working in a forward bent position has been found to increase the likelihood of having LBP [14,15].

Here the chief complaint is back pain, whether the sample have pain or not. Under weight with back pain the BMI is 1(1%),for the normal with neck pain the BMI is 11(11%).underweight without back pain the BMI is 1(2%),for normal without neck pain the BMI is 8(20%)and for obese13(20%).the correlation between BMI and back pain is done by Chi square test(χ2) χ2=12.068,the standard deviation (df)df=3 and the significance (p)p= 0.007. So this study is shows that when BMI increases the neck pain is increased.

Correlation between BMI and Low back pain: Pain area
BMI LBA No pain Total
Under wth 1 1 2
Normal 11 8 19
Over wth 15 1 16
Obese 13 0 13
Total 40 10 50 χ2=12.068 df=3 p=0.007

In the table 3 there is correlation between past illnesses(arthritis and past abdominal surgery)and pain level,and the result is χ2=0.75 p>0.05(NS)for arthritis, and for past abdominal surgery is χ2=0.743 p>0.05(NS)p=0.69.So p is not significant.

Table 3:
Correlation between past illnesses and pain level:
Pain level Arthritis Past abdominal surgery Yes No Yes No
Max 1 6 3 4
Mod 4 15 7 12
Mild 1 10 3 9
Total 6 31 3 9 χ2=0.75 p>0.05(NS) χ2=0.743 p>0.05(NS)