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Table 3 Logistic regression analysis for the association of overweight/obesity and abdominal obesity with demographic, socio-economic and lifestyle factors

From: The prevalence and associated factors of overweight/obesity and abdominal obesity in South-eastern of Iran: a cross-sectional study based on Rafsanjan cohort study

characteristics

Overweight/ Obesity

OR (95% CI)

Abdominal obesity

OR (95% CI)

Univariate model

Multivariate model

Univariate model

Multivariate model

Age. year

   

35–45

1

1

1

1

46–55

1.24(1.11–1.38)

1.32(1.18–1.49)

1.31(1.19–1.44)

1.48(1.29–1.70)

≥ 56

1.09(0.98–1.21)

1.19(1.06–1.35)

1.32(1.20–1.45)

1.68(1.45–1.95)

Gender

   

Male

1

1

1

1

Female

3.02(2.75–3.30)

2.20(1.95–2.48)

26.84(24.12–29.86)

23.62(20.52–27.19)

Marital status

   

Single

1

1

1

1

Married

0.85(0.72–1.01)

1.19(0.99–1.42)

0.36(0.30–0.42)

1.13(0.91–1.40)

Education

   

≤ 5 years

1

1

1

1

6–12 years

0.90(0.82–0.99)

1.02(0.91–1.14)

0.52(0.48–0.57)

0.87(0.76–0.99)

≥ 13 years

0.80(0.71–0.91)

0.73(0.62–0.86)

0.36(0.32–0.41)

0.57(0.47–0.69)

Physical activity

   

Low

1

1

1

1

Moderate

1.24(1.11–1.38)

0.90(0.80–1.01)

1.71(1.55–1.89)

0.82(0.72–0.94)

Heavy

0.67(0.59–0.75)

0.66(0.58–0.75)

0.69(0.62–0.77)

0.60(0.51–0.70)

WSI

   

Low

1

1

1

1

Low-middle

1.29(1.14–1.45)

1.37(1.21–1.56)

0.89(0.80-1.00)

1.21(1.04–1.42)

Middle-high

1.39(1.24–1.55)

1.52(1.34–1.73)

0.79(0.72–0.88)

1.23(1.05–1.44)

High

1.42(1.19–1.71)

1.91(1.54–2.35)

0.53(0.45–0.62)

1.38(1.08–1.76)

Alcohol consumption

   

No

1

1

1

1

yes

0.54(0.47–0.62)

1.30(1.11–1.52)

0.17(0.14–0.20)

1.36(1.12–1.65)

Cigarette smoking

   

Never

1

1

1

1

Current

0.29(0.26–0.32)

0.54(0.47–0.63)

0.11(0.09–0.12)

0.64(0.53–0.78)

Former

0.53(0.46–0.62)

0.95(0.80–1.13)

0.17(0.14–0.20)

0.95(0.77–1.16)

Opium consumption

   

No

1

1

1

1

Yes

0.36(0.33–0.40)

0.67(0.59–0.76)

0.16(0.15–0.18)

0.80(0.68–0.95)

  1. The adjusted model is adjusted for confounding variables age (continuous variable), gender (male, female), education years (categorical variable), wealth status index (categorical variable), and the variables related to lifestyle: cigarette smoking (categorical variable), alcohol consumption (yes, no), opium consumption (yes, no), physical activity level (categorical variable) and marital status (categorical variable)