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Table 2 Parameter estimates (with 95% confidence intervals) for the change in mean WC over time

From: Increases in waist circumference independent of weight in Mongolia over the last decade: the Mongolian STEPS surveys

  Model 1a Model 2b
Overall analysis (total sample)
   2009 2.97 (2.01 to 3.93) 1.26 (0.35 to 2.17)
   2013 4.93 (3.87 to 6.00) 1.88 (1.09 to 2.67)
Subgroup analyses
 Sex
  Men   
   2009 3.00 (1.56 to 4.43) 0.27 (-0.62 to 1.17)
   2013 4.77 (3.18 to 6.37) 1.09 (0.39 to 1.80)
  Women   
   2009 3.01 (2.00 to 4.02) 2.32 (1.25 to 3.39)
   2013 5.07 (4.00 to 6.14) 2.68 (1.64 to 3.71)
 Age group (years)
  18–24   
   2009 3.13 (1.85 to 4.42) 1.39 (0.37 to 2.42)
   2013 3.74 (2.34 to 5.14) 1.75 (0.91 to 2.58)
  25–34   
   2009 3.35 (1.98 to 4.73) 1.53 (0.42 to 2.65)
   2013 4.95 (3.74 to 6.16) 1.97 (1.09 to 2.84)
  35–44   
   2009 2.72 (1.32 to 4.13) 1.25 (0.36 to 2.15)
   2013 4.90 (3.41 to 6.39) 1.88 (0.86 to 2.89)
  45–54   
   2009 1.98 (0.22 to 3.73) 0.65 (-0.49 to 1.79)
   2013 5.09 (3.43 to 6.74) 1.63 (0.56 to 2.7)
  55–64   
   2009 3.49 (1.26 to 5.72) 1.25 (-0.08 to 2.57)
   2013 4.82 (2.50 to 7.14) 1.94 (0.54 to 3.34)
 Area of residence
  Urban   
   2009 3.79 (2.25 to 5.33) 2.12 (0.88 to 3.35)
   2013 5.83 (4.24 to 7.42) 2.42 (1.21 to 3.63)
  Rural   
   2009 2.21 (0.95 to 3.47) 0.43 (-0.95 to 1.81)
   2013 4.08 (2.59 to 5.57) 1.37 (0.34 to 2.41)
 Education
  Tertiary educated
   2009 2.05 (0.54 to 3.55) 0.80 (-0.59 to 2.19)
   2013 3.56 (2.19 to 4.94) 1.86 (0.80 to 2.92)
  Non-tertiary educated
   2009 3.18 (2.17 to 4.2) 1.40 (0.49 to 2.32)
   2013 5.37 (4.19 to 6.54) 1.91 (1.09 to 2.74)
  1. Abbreviations: WC waist circumference
  2. aModel 1 regression model adjusted for age, sex, survey year and height
  3. bModel 2 regression model adjusted for age, sex, survey year, height and weight
  4. The coefficients shown in the table represent the estimated change in mean WC relative to 2005 (the reference category) Separate regression models were fit for each subgroup. The subgroup effects were estimated by including an interaction term between the relevant variable (sex, age group, education status or area of residence) and survey year. The model with the area of residence by survey year interaction effect also included the main effect for area of residence. Similarly, the model with the education status by survey year interaction effect also included the main effect for education status