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Table 2 The distribution of daily energy and macronutrient intake by social-demographic characteristics in 2015a,b

From: Gender differences in the relationship between dietary energy and macronutrients intake and body weight outcomes in Chinese adults

General CharacteristicWomen (N = 5964)Men (N = 4934)
Energy (k cal)Fat(g)Protein(g)Carbohydrate(g)Energy (k cal)Fat(g)Protein(g)Carbohydrate (g)
Age
 18–44 years1931.4 ± 14.577.8 ± 0.962.5 ± 0.5 **244.5 ± 2.2*2300.6 ± 19.591.8 ± 1.274.7 ± 0.7290.8 ± 3.2 ***
 45–64 years1911.7 ± 11.377.7 ± 0.761.8 ± 0.4240.4 ± 1.72259.2 ± 13.991.3 ± 0.973.6 ± 0.5277.7 ± 2.1
Education level
 Primary/illiterate1915.3 ± 16.476.5 ± 1.059.0 ± 0.6***246.9 ± 2.6***2258.7 ± 26.290.8 ± 1.669.2 ± 0.9***283.5 ± 4.3 ***
 Middle school1938.8 ± 15.677.3 ± 1.061.5 ± 0.6248.4 ± 2.52297.1 ± 19.191.1 ± 1.173.6 ± 0.7288.5 ± 3.0
 High/above1903.0 ± 14.579.2 ± 0.665.4 ± 0.6231.3 ± 2.02259.1 ± 16.592.1 ± 1.476.6 ± 0.6276.1 ± 2.5
Income level
 Low1964.4 ± 17.4***78.8 ± 1.1***60.8 ± 0.6***251.9 ± 2.7***2300.9 ± 22.490.9 ± 1.3***71.4 ± 0.7***293.4 ± 3.7 ***
 Medium1894.7 ± 15.073.7 ± 0.960.4 ± 0.5246.6 ± 2.52260.3 ± 19.788.1 ± 1.272.4 ± 0.7287.7 ± 3.2
 High1903.1 ± 14.180.5 ± 1.064.8 ± 0.5228.9 ± 2.02265.1 ± 17.594.9 ± 1.177.4 ± 0.7269.3 ± 2.5
Geogerphical region
 Rural1914.9 ± 11.374.9 ± 0.7***59.9 ± 0.4***249.4 ± 1.8 ***2295.2 ± 14.5**90.4 ± 0.9***72.4 ± 0.5***290.9 ± 2.3 ***
 Urban1927.0 ± 14.682.4 ± 1.065.8 ± 0.6229.6 ± 2.02237.2 ± 18.093.3 ± 1.176.8 ± 0.7267.6 ± 2.7
PA level
 Low1892.7 ± 16.0***77.8 ± 1.161.9 ± 0.6235.4 ± 2.4***2258.8 ± 19.8***91.7 ± 1.273.7 ± 0.7279.0 ± 3.0***
 Medium1890.9 ± 14.477.7 ± 0.962.3 ± 0.5234.6 ± 2.22221.8 ± 18.890.8 ± 1.174.3 ± 0.7270.7 ± 3.0
 High1976.9 ± 16.077.5 ± 1.062.1 ± 0.6256.6 ± 2.62336.4 ± 20.091.9 ± 1.274.0 ± 0.7296.3 ± 3.2
  1. aValues are mean ± s.e. for continuous variables .b ***, ** and * indicate statistical significance at the 1, 5 and 10% level, respectively