| Literature DB >> 22303457 |
Honglei Yi1, Xinran Ji, Xianzhao Wei, Ziqiang Chen, Xinhui Wang, Xiaodong Zhu, Wei Zhang, Jiayu Chen, Diqing Zhang, Ming Li.
Abstract
OBJECTIVE: The causes of low back pain in China and Western countries are extremely different. We attempted to analyze the risk factors of low back pain in urban and rural patients under the dual economy with the simplified Chinese version of Roland-Morris disability questionnaire (SC-RMDQ) to demonstrate that SC-RMDQ could evaluate patients with low back pain arising from different causes.Entities:
Mesh:
Year: 2012 PMID: 22303457 PMCID: PMC3267758 DOI: 10.1371/journal.pone.0030807
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Basic situation after the completion of the first questionnaire.
| Rural patients | Urban patients | Together | |
| Sex: male/female | 41/47 | 53/46 | 94/93 |
| Age. | 42.9±13.3 (18–71) | 39.8±13.2 (18–79) | 41.3±13.3 (18–79) |
| Pain lasting period (month) | 32.7±74.0 (0.5–480) | 25.4±46.7 (0.5–360) | 28.9±61.0 (0.5–480) |
| Occupation | |||
| Worker | 29 | 19 | 48 |
| Farmer | 44 | 0 | 44 |
| Officer | 0 | 17 | 17 |
| (white-collar) Businessman | 5 | 15 | 20 |
| Civil servant | 5 | 9 | 14 |
| Student | 0 | 2 | 2 |
| Retiree | 5 | 18 | 23 |
| Others | 19 | 19 |
The reasons for making low back pain in rural and urban patients.
| Rural patients (n = 88) | Urban patients (n = 99) | P value | |
| Sedentariness | 2 (2.3%) | 38 (38.4%) | P<0.001 |
| Waist bending | 43 (48.9%) | 13 (13.1%) | P<0.001 |
| Standing fro long | 1 (1.1%) | 12 (12.1%) | P<0.003 |
| Vibration | 14 (15.9%) | 18 (18.1%) | P = 0.702 |
| Spraining | 22 (25%) | 5 (5.1%) | P<0.001 |
| Others | 6 (6.8%) | 13 (13.1%) | P = 0.488 |
Different reason analysis of low back pain of rural vs. urban patients with Chi-squre, significant: p≤0.05.
Scores of different questionnaires in rural and urban patients.
| Mean±SD | Range | |
| SCRMDQ | 7.6±5.8 | 0–24 |
| Rural area | 9.6±5.9 | 0–24 |
| Urban area | 5.8±5.1 | 0–24 |
| SCODI | 31.1±21.6 | 0–84 |
| Rural area | 37.6±23.1 | 0–84 |
| Urban area | 25.3±18.4 | 0–82 |
| VAS | 42.5±19.9 | 2–90 |
| Rural area | 46.1±20.3 | 3–90 |
| Urban area | 39.2±19.1 | 2–90 |
Questionnaire scores of rural vs. urban patients, p<0.05.
SCRMDQ scores of two reproducibility tests (mean±SD, score, n = 40).
| Mean±SD | |||
| The first score | The second score | ICC | |
| SCRMDQ (rural patients) | 9.55±5.27 | 9.13±5.08 | 0.952 (0.909–0.975) |
| SCRMDQ (urban patients) | 5.40±4.07 | 5.60±4.09 | 0.949 (0.903–0.973) |
Correlation analysis of validity of SCRMDQ with SCODI and VAS (Pearson correlation coefficient).
| r | P | |
| Rural patients | ||
| SCRMDQ-SCODI | 0.841 | P<0.01 |
| SCRMDQ-VAS | 0.685 | P<0.01 |
| Urban patients | ||
| SCRMDQ-SCODI | 0.818 | P<0.01 |
| SCRMDQ-VAS | 0.666 | P<0.01 |