Research Article

Geography Influences Dietary Intake, Physical Activity and Weight Status of Adolescents

Table 1

Restricted maximum likelihood (REML) estimates of energy, macronutrient and fibre intakes of rural and urban Alberta students in 2005 and 2008 adjusted for SES, age, and sex.

20052008 𝑃 -Value
Energy, macronutrients, and fibre*Rural ( 𝑛 = 2 7 1 2 )Urban ( 𝑛 = 2 1 4 5 )Rural ( 𝑛 = 1 0 5 5 )Urban ( 𝑛 = 4 0 5 9 )

Energy (kcal)2011 (1945, 2077)2097 (2020, 2175)2001 (1910, 2093)1975 (1912,2039).041
Fat (%kcal)31.7 (31.2, 32.2)31.7 (31.1, 32.3)31.2 (30.5, 31.9)30.3 (29.8,30.7).002
Saturated fat (%kcal)10.8 (10.6, 11.0)10.7a(10.5,10.9)11.0b (10.7, 11.3)10.4c(10.2, 10.6).003;  .033ac; < . 0 01bc
Carbohydrate (%kcal)54.6 (54.0, 55.3)54.8 (54.1, 55.5)54.6 (53.7, 55.5)55.4 (54.8, 56.0)>.05;  >.05
Protein (%kcal)15.3 (15.1, 15.6)15.2 (14.9, 15.5)15.9 (15.6, 16.3)16.1 (15.9, 16.3)<.001
Fibre (g)14.0 (13.4, 14.7)14.7 (14.0, 15.4)14.7 (13.9, 15.6)15.4 (14.8, 15.9).03;  .042

*Reported as mean and 95% Confidence Intervals.
Main effect for Year (2005 versus 2008).
Main effect for (Rural versus Urban).
As a followup to significant interaction superscripts in each row indicate source of significant differences at 𝑃 < . 0 5 using a test of simple effects.