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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.