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Table 2 Multivariate analysis of drinks consumption (ml/week) by sex, controlling for age and body weight in adolescents

From: The influence of gender, media, and internet usage on adolescents' fast food perception and fluid intake

Variable

Males

Females

p value*

Water

2700.1 ± 2047.1

2803.3 ± 1660.3

Age: 0.005; weight: 0.610; Gender: 0.351

Fruit juice

2778.8 ± 2798.7

2479.1 ± 2475.1

Age: 0.077; weight: 0.115; Gender: 0.399

Fruit drinks

2875.2 ± 2932.4

3188.5 ± 2764.1

Age: 0.187; weight: 0.550; Gender: 0.109

Full fat milk

2197.1 ± 2765.1

1662.8 ± 2221.6

Age: 0.273; weight: 0.655; Gender: 0.013

Low fat milk

1553.3 ± 2380.9

1334.4 ± 2133.3

Age: 0.451; weight: 0.593; Gender: 0.314

Skimmed milk

1043.5 ± 1899.9

1046.1 ± 1930.2

Age: 0.132; weight: 0.548; Gender: 0.880

Sugar-sweetened beverage

2350.8 ± 3324.3

3088.9 ± 3701.1

Age: 0.933; weight: 0.437; Gender: 0.004

Diet beverage

692.5 ± 1086.7

659.5 ± 1090.8

Age: 0.361; weight: 0.800; Gender: 0.787

Tea with milk

1424.0 ± 2289.6

1329.2 ± 2142.6

Age: 0.091; weight: 0.559; Gender: 0.768

Coffee with milk

787.4 ± 1304.6

961.3 ± 1276.6

Age: 0.670; weight: 0.999; Gender: 0.092

Tea or coffee

1032.4 ± 2037.2

1229.8 ± 2405.8

Age: 0.375; weight: 0.564; Gender: 0.189

Herbal tea

890.0 ± 1952.8

704.1 ± 1664.7

Age: 0.562; weight: 0.058; Gender: 0.533

Beer drinks

774.8 ± 1773.7

653.5 ± 1664.7

Age: 0.934; weight: 0.506; Gender: 0.513

Energy drinks

429.5 ± 1117.2

267.6 ± 733.8

Age: 0.427; weight: 0.914; Gender: 0.037

Protein shake

251.5 ± 639.7

328.6 ± 1306.9

Age: 0.204; weight: 0.109; Gender: 0.725

  1. Bold values indicate statistically significant p-values
  2. *Wilks’ Lambda p values for the main effects for each of age = 0.565, weight = 0.803, and gender = 0.002