| Literature DB >> 32471454 |
Xuyang Zhang1,2, Wei Yang1,2, Zeyu Zheng1,2, Jiasheng Wang1,2, Bao Huang1,2, Shunwu Fan1,2, Xianjun Wang3, Fengdong Zhao4,5.
Abstract
BACKGROUND: To investigate associations between long-term shoulder loading and sagittal spino-pelvic morphology in Chinese farmers from radiology evidences.Entities:
Keywords: Kyphosis; Shoulder loading; Spine; Weight bear; X-ray
Mesh:
Year: 2020 PMID: 32471454 PMCID: PMC7257182 DOI: 10.1186/s13018-020-01698-3
Source DB: PubMed Journal: J Orthop Surg Res ISSN: 1749-799X Impact factor: 2.359
Fig. 1The measuring method of spino-pelvic parameters. TK thoracic kyphosis, LL lumbar lordosis, TLK thoracolumbar kyphosis, T9SO T9 sagittal offset, T1SO T1 sagittal offset, SS sacral slope, PI pelvic incidence, PT pelvic tilt, C7T C7 tilt, SSA spino-pelvic angle, SVA sagittal vertical axis
Comparison of loading and non-loading groups
| Overall | Male | Female | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Loading | Non-loading | Loading | Non-loading | Loading | Non-loading | ||||
| Number | 184 | 279 | 86 | 126 | 98 | 153 | |||
| Male/female | 86/98 | 126/153 | 0.951 | ||||||
| Age | 73.3 ± 8.3 | 63.7 ± 14.1 | 74.3 ± 9.2 | 63.0 ± 14.1 | 72.5 ± 7.6 | 64.3 ± 14.1 | |||
| Height | 160.8 ± 7.8 | 161.6 ± 8.2 | 0.566 | 167.1 ± 6.2 | 167.3 ± 6.5 | 0.892 | 155.6 ± 4.4 | 155.7 ± 4.8 | 0.932 |
| Weight | 59.7 ± 11.1 | 62.6 ± 9.6 | 0.098 | 64.6 ± 11.3 | 66.6 ± 9.1 | 0.426 | 55.5 ± 9.3 | 58.4 ± 8.3 | 0.168 |
| BMI | 23.0 ± 3.3 | 23.9 ± 3.00 | 0.075 | 23.1 ± 3.4 | 23.8 ± 2.9 | 0.376 | 22.9 ± 3.3 | 24.1 ± 3.2 | 0.113 |
| BMD | 1.05 ± 0.25 | 1.15 ± 0.24 | 0.076 | 1.17 ± 0.21 | 1.24 ± 0.26 | 0.471 | 0.95 ± 0.24 | 1.09 ± 0.20 | |
| TK | 39.1 ± 17.0 | 32.8 ± 17.4 | 41.6 ± 16.7 | 37.3 ± 15.8 | 0.189 | 37.2 ± 17.0 | 29.5 ± 17.8 | ||
| LL | 40.5 ± 23.5 | 37.5 ± 22.0 | 0.309 | 44.4 ± 23.9 | 39.5 ± 18.1 | 0.232 | 37.6 ± 23.1 | 36.0 ± 24.4 | 0.701 |
| TLK | 25.8 ± 16.4 | 10.7 ± 14.0 | 32.9 ± 9.4 | 17.1 ± 7.5 | 18.6 ± 19.5 | 4.1 ± 15.6 | |||
| T9SO | 12.2 ± 5.8 | 10.1 ± 5.2 | 10.9 ± 5.6 | 9.8 ± 4.3 | 0.269 | 13.1 ± 5.8 | 10.3 ± 5.7 | ||
| T1SO | 4.1 ± 5.9 | 2.9 ± 5.0 | 0.079 | 3.2 ± 6.5 | 1.7 ± 4.1 | 0.137 | 4.8 ± 5.4 | 3.8 ± 5.4 | 0.271 |
| SS | 26.1 ± 12.0 | 28.4 ± 10.3 | 0.123 | 29.2 ± 8.2 | 29.5 ± 9.2 | 0.876 | 23.8 ± 13.8 | 27.5 ± 11.0 | 0.079 |
| PI | 46.1 ± 11.7 | 46.7 ± 12.2 | 0.706 | 46.6 ± 10.6 | 46.0 ± 11.3 | 0.781 | 45.7 ± 12.6 | 47.2 ± 12.9 | 0.501 |
| PT | 22.0 ± 12.3 | 19.4 ± 13.3 | 0.123 | 19.5 ± 11.1 | 17.4 ± 10.2 | 0.333 | 24.0 ± 13.0 | 20.8 ± 15.1 | 0.218 |
| C7T | 93.2 ± 8.1 | 92.4 ± 6.6 | 0.402 | 92.4 ± 6.3 | 93.4 ± 6.0 | 0.446 | 93.8 ± 9.2 | 91.7 ± 6.9 | 0.125 |
| SSA | 113.4 ± 14.5 | 116.1 ± 14.2 | 0.152 | 116.2 ± 10.9 | 116.2 ± 11.5 | 0.982 | 111.3 ± 16.5 | 116.1 ± 15.9 | 0.091 |
| SVA | 41.2 ± 59.0 | 32.2 ± 59.2 | 0.247 | 39.0 ± 62.9 | 42.1 ± 56.8 | 0.794 | 42.9 ± 56.3 | 24.8 ± 60.2 | 0.081 |
| Kyphosis Y/N | 77/107 | 66/213 | 38/48 | 33/93 | 39/59 | 33/120 | |||
TK thoracic kyphosis, LL lumbar lordosis, TLK thoracolumbar kyphosis, T9SO T9 sagittal offset, T1SO T1 sagittal offset, SS sacral slope, PI pelvic incidence, PT pelvic tilt, C7T C7 tilt, SSA spino-pelvic angle, SVA sagittal vertical axis
Values are mean ± SD
*Indicates p value < 0.05, ** indicates p value < 0.01
Differences between the “Non-kyphosis” and “Kyphosis” groups
| Non-kyphosis | Kyphosis | ||
|---|---|---|---|
| Age (years) | 56.1 ± 13.7 | 60.7 ± 9.4 | 0.049* |
| Height | 161.7 ± 8.1 | 158.1 ± 6.4 | 0.063 |
| Weight | 61.7 ± 10.5 | 58.3 ± 9.5 | 0.183 |
| BMI | 23.5 ± 3.2 | 23.4 ± 3.9 | 0.866 |
| BMD | 1.12 ± 0.24 | 1.05 ± 0.31 | 0.440 |
Values are mean ± SD
*Indicates p value < 0.05
Bivariate logistic regression analyses to predict “Kyphosis” diagnosis from “Loading”
| Adjustment | Odds ratio | 95% confidence interval | |
|---|---|---|---|
| Model 1 | 3.176 | 1.573–6.413 | 0.001** |
| Model 2 | 2.774 | 1.321–5.825 | 0.007** |
| Model 3 | 6.123 | 1.830–20.489 | 0.003** |
| Model 4 | 5.600 | 1.680–18.665 | 0.005** |
| Model 5 | 6.160 | 1.822–20.827 | 0.003** |
Model 1, unadjusted (“Loading” was the only predictor variable). Model 2, adjusted for age; model 3, adjusted for age and height; model 4, adjusted for age and weight; model 5, adjusted for age, height, and weight
*Indicates p value < 0.05, ** indicates p value < 0.01