The influence of long-term shoulder loading on sagittal spino-pelvic morphology: a population-based retrospective study of Chinese farmers from radiology

Table 3 Bivariate logistic regression analyses to predict “Kyphosis” diagnosis from “Loading”

Adjustment	Odds ratio	95% confidence interval	p value
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

ISSN: 1749-799X