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Table 3 Multivariate logistic regression analysis of osteoporosis-related factors in urban and rural populations

From: Differences in the prevalence and risk factors of osteoporosis in chinese urban and rural regions: a cross-sectional study

Variables

Urban

Rural

AOR (95%CI)

P

AOR (95%CI)

P

Gender

 Male

0.04 (0.04–0.04)

 < 0.001

0.21 (0.21–0.21)

 < 0.001

 Female

Ref

 

Ref

 

Age

2.36 (2.35–2.36)

 < 0.001

1.69 (1.69–1.69)

 < 0.001

Hypertension

 No

Ref

 

Ref

 

 Yes

1.37 (1.36–1.37)

 < 0.001

1.05 (1.05–1.06)

 < 0.001

 Education

0.95 (0.95–0.95)

 < 0.001

0.94 (0.94–0.94)

 < 0.001

Marital status

 Married

Ref

   

 Divorced

2.19 (2.14–2.23)

 < 0.001

-

-

 Widowed

1.40 (1.39–1.41)

 < 0.001

-

-

 Cohabitation

-

-

-

-

 Unmarried

4.04 (3.99–4.09)

 < 0.001

-

-

Smoking

 Never

Ref

   

 Not everyday

3.76 (3.71–3.82)

 < 0.001

-

-

 Everyday

2.26 (2.23–2.28)

 < 0.001

-

-

 Smoking before but not present

4.34 (4.29–4.39)

 < 0.001

-

-

Family history of osteoporosis

 No

Ref

 

Ref

 

 Unknown

1.37 (1.36–1.38)

 < 0.001

1.49 (1.49–1.50)

 < 0.001

 Yes

1.66 (1.65–1.67)

 < 0.001

1.15 (1.15–1.16)

 < 0.001

 Rice/pasta

0.99 (0.99–0.99)

 < 0.001

-

-

 Pork

-

-

0.99 (0.99–0.99)

 < 0.001

 Aquatic product

0.99 (0.99–0.99)

 < 0.001

0.99 (0.99–0.99)

 < 0.001

 Dyslipidemia

1.05 (1.04–1.05)

 < 0.001

1.15 (1.15–1.15)

 < 0.001

 β-CTX

1.02 (1.02–1.02)

 < 0.001

1.02 (1.02–1.02)

 < 0.001

  1. AOR adjusted odds ratio, 95%CI 95% confidence interval; “-”, the variable did not enter the multivariate logistic regression model after stepwise regression screening (P ≥ 0.05); β-CTX, β-crosslaps