| Literature DB >> 16197555 |
Dein Vindigni1, Bruce F Walker, Jennifer R Jamison, Cliff Da Costa, Lynne Parkinson, Steve Blunden.
Abstract
BACKGROUND: Low back pain (LBP) is the most prevalent musculo-skeletal condition in rural and remote Australian Aboriginal communities. Smoking, physical inactivity and obesity are also prevalent amongst Indigenous people contributing to lifestyle diseases and concurrently to the high burden of low back pain.Entities:
Year: 2005 PMID: 16197555 PMCID: PMC1277832 DOI: 10.1186/1746-1340-13-21
Source DB: PubMed Journal: Chiropr Osteopat ISSN: 1746-1340
Individual modifiable risk factors associated with low back pain
| Balague, 1999 [44]* | ||
| Balague, 1999[44] * | Leboeuf-Yde, 1995[46] * | |
| Koda, 1991[50] **** | Leboeuf-Yde, 1999[46] * | |
| Balague, 1995[57] *** | Balague, 1999[44] * | |
| Harkness, 2003[68] *** | ||
| Koda, 1991[50] **** | Picavet, 2000[70] *** | |
| Alcouffe, 1999[51] **** | Picavet, 2000[70] *** | |
| Suadicani, 1994[72] **** | ||
| Bongers, 1993[78] * | ||
| Burdorf, 1994[80] **** | Hartvigsen, 2000[81] *** |
NB: Only first authors included.
Legend: + OR: Odds ratio
Level I evidence *, Level II evidence **, Level III evidence ***, Level IV evidence****
• Level I – based on studies such as meta-analyses or systematic reviews of all relevant randomised controlled trials (RCTs);
• Level II – based on well-designed RCTs;
• Level III – based on well-designed prospective or case-control analytical studies; and
• Level IV – based on opinions of respected authorities, clinical experience, descriptive studies and case reports or reports of expert committees.
Sensitivity, specificity and Kappa for LBP screening survey compared to clinical assessment (n = 189)
| 43 | 21 | 64 | ||||
| 25 | 100 | 125 | ||||
Age and sex of study participants
| 20 | 20 | 40 | 23.0 | 19.6 | 21.2 | |
| 14 | 16 | 30 | 16.1 | 15.7 | 15.9 | |
| 25 | 29 | 54 | 28.7 | 28.4 | 28.6 | |
| 13 | 10 | 23 | 14.9 | 9.8 | 12.2 | |
| 12 | 24 | 36 | 13.8 | 23.5 | 19.0 | |
| 3 | 3 | 6 | 3.4 | 2.9 | 3.2 | |
Occupation of study participants according to sex
| 5 | 3 | 8 | 5.7 | 2.9 | 4.2 | |
| 7 | 9 | 16 | 8.0 | 8.8 | 8.5 | |
| 5 | 16 | 21 | 5.7 | 15.7 | 11.1 | |
| 1 | 2 | 3 | 1.1 | 2.0 | 1.6 | |
| 3 | 2 | 5 | 3.4 | 2.0 | 2.6 | |
| 3 | 2 | 5 | 3.4 | 2.0 | 2.6 | |
| 2 | 6 | 8 | 2.3 | 5.9 | 4.2 | |
| 13 | 3 | 16 | 14.9 | 2.9 | 8.5 | |
| 38 | 28 | 66 | 43.7 | 27.5 | 34.9 | |
| 1 | 16 | 17 | 1.1 | 15.7 | 9.0 | |
| 4 | 15 | 19 | 4.6 | 14.7 | 10.1 | |
| 5 | 0 | 5 | 0.0 | 2.6 | ||
* Associate Professionals
Body Mass Index (BMI) of participants, according to age and sex (n = 189)
| Male | 10 | 23% | 7 | 14% | 2 | .02% | 0 | 0% | 19 | 10% | |
| Female | 7 | 16% | 5 | 10% | 9 | 12% | 0 | 0% | 21 | 12% | |
| 17 | 39.5% | 12 | 24% | 11 | 14% | 0 | 0% | 40 | 22% | ||
| Male | 5 | 12% | 13 | 26% | 18 | 23% | 4 | 33% | 40 | 22% | |
| Female | 14 | 33% | 9 | 18% | 18 | 23% | 5 | 42% | 46% | 25% | |
| 19 | 44% | 22 | 44% | 36 | 47% | 9 | 75% | 86 | 47% | ||
| Male | 4 | 9% | 6 | 12% | 13 | 17% | 1 | 8% | 24 | 13% | |
| Female | 3 | 7% | 10 | 20% | 17 | 22% | 2 | 17% | 32 | 18% | |
| 7 | 16% | 16 | 32% | 30 | 39% | 3 | 25% | 56 | 31% | ||
Note: BMI = Weight (kg) divided by square of height (m)
Figure 1Figure 1