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Table 4 Adjusted odds ratio (AOR) and 95% CI of risk factors for obesity across socioeconomic status (SES) by gender and age groups among enrolled adult participants of ages 18 to 80 years in rural Hanzhong, Shaanxi province in 2010 ab

From: Association of obesity with socioeconomic status among adults of ages 18 to 80 years in rural Northwest China

Class differences

Farming frequency

TV viewing

Alcohol consumption

Smoking frequency

Vegetable and fruit consumption

Female

     

Annual net income per capita

     

   Medium

0.93 (0.71, 1.21)

1.27 (0.99, 1.65)*

1.89 (0.76, 4.69)

0.74 (0.18, 3.11)

1.52 (1.12, 2.06)*

   High

0.60 (0.46, 0.77)*

1.30 (1.01, 1.67)

1.40 (0.54, 3.59)

1.02 (0.26, 3.93)

2.18 (1.63, 2.93)*

Level of education

     

   Medium

1.08 (0.82, 1.43)

1.13 (0.86, 1.47)

1.01 (0.41, 2.47)

0.15 (0.02, 1.29)

1.12 (0.81, 1.56)*

   High

0.59 (0.46, 0.76)*

1.88 (1.48, 2.40)*

0.76 (0.33, 1.75)

0.48 (0.15, 1.56)

1.47 (1.11, 1.95)*

Male

     

Annual net income per capita

     

   Medium

1.13 (0.80, 1.60)

1.47 (1.03, 2.09)*

1.14 (0.73, 1.79)

1.21 (0.87, 1.70)

1.29 (0.86, 1.93)

   High

0.60 (0.44, 0.82)*

1.37 (0.99, 1.90)

1.49 (0.99, 2.24)

1.25 (0.91, 1.71)

2.27 (1.58, 3.25)*

Level of education

     

   Medium

1.07 (0.68, 1.67)

1.10 (0.71, 1.69)

1.56 (0.90, 2.72)

1.22 (0.79, 1.86)

1.30 (0.76, 2.22)

   High

0.53 (0.36, 0.77)*

1.73 (1.20, 2.51)*

1.42 (0.87, 2.31)

1.12 (0.78, 1.61)

2.16 (1.38, 3.38)*

Gender differences

     

   Men

1.00

1.00

1.00

1.00

1.00

   Women

1.22 (1.03, 1.44)*

0.71 (0.60, 0.85)*

0.10 (0.07, 0.14)*

0.003 (0.002, 0.006)*

1.19 (0.99, 1.42)

The youngest participants

     

Annual net income per capita

     

   Medium

0.60 (0.39, 0.93)*

1.32 (0.86, 2.02)

0.80 (0.37, 1.68)

1.28 (0.65, 2.53)

1.17 (0.75, 1.81)

   High

0.36 (0.23, 0.54)*

1.42 (0.94, 2.15)

1.48 (0.75, 2.90)

1.27 (0.67, 2.42)

1.72 (1.13, 2.62)*

Level of education

     

   Medium

0.89 (0.51, 1.57)

1.70 (1.01, 2.85)*

2.05 (0.72, 5.87)

0.89 (0.29, 2.71)

0.89 (0.52, 1.53)

   High

0.36 (0.22, 0.60)*

2.11 (1.32, 3.35)*

1.08 (0.40, 2.94)

0.53 (0.19, 1.46)

1.34 (0.83, 2.17)

The oldest participants

     

Annual net income per capita

     

   Medium

1.16 (0.84, 1.60)

1.51 (1.10, 2.09)*

2.20 (1.13, 4.27)*

1.67 (1.03, 2.70)*

1.69 (1.12, 2.56)*

   High

0.94 (0.69, 1.27)

1.37 (1.00, 1.87)*

1.39 (0.69, 2.80)

1.42 (0.90, 2.24)

2.23 (1.52, 3.27)*

Level of education

     

   Medium

1.13 (0.82, 1.57)

1.12 (0.82, 1.53)

0.82 (0.40, 1.72)

0.70 (0.43, 1.15)

1.51 (1.00, 2.29)

   High

0.57 (0.41, 0.79)*

1.77 (1.27, 2.46)*

1.05 (0.54, 2.03)

0.65 (0.41, 1.03)

2.44 (1.64, 3.64)*

Difference by age groups

     

   The youngest participants

1.00

1.00

1.00

1.00

1.00

   The medium participants

1.91 (1.58, 2.31)*

0.74 (0.61, 0.90)*

0.88 (0.64, 1.20)

1.09 (0.89, 1.35)

0.78 (0.65, 0.95)*

   The oldest participants

1.27 (1.07, 1.52)*

0.39 (0.32, 0.47)*

0.55 (0.39, 0.78)*

0.94 (0.76, 1.17)

0.43 (0.35, 0.53)*

  1. aThe stratified analysis was conducted for all participants and separate logistic models were fit for each gender groups and age groups when socio-demographic factors were adjusted for. The low-SES group was treated as the reference group.
  2. bValues were given as adjusted odds ratio (95%CI) unless otherwise stated.
  3. *Denote P < 0.05.