Sentence examples for energy intake changes from inspiring English sources

Figure 2A demonstrates that our model accurately calculated the energy intake changes underlying the observed weight gain in two controlled over-feeding experiments [19], [20] and Figure 2B shows that our model accurately predicted the relationship between weight change and energy expenditure in longitudinal data from a cohort of Pima Indians after a 3.6 year follow-up [21].

Caution must be directed to the model that is used to translate energy intake changes to weight changes.

These differences in glucose profiles were not explained by the difference in 24-h energy intake, changes in medication, or dialysis shift.

Mediators of energy intake change were nonsignificant.

Pearson correlation coefficients were calculated to determine the amount of variance in body weight (and energy intake) change that was accounted for by change in restraint and disinhibition.

Change in restraint and disinhibition were negatively (r = −0.44, P < 0.01) and positively (r = 0.31, P < 0.05) associated with change in energy intake, accounting for 19 and 9.3% of energy intake change variance, respectively.

The correlation coefficients between the change in energy intake, the change in carbohydrate intake or the change in insulin sensitivity and the change in outcome variables were weak (Table 6).

The correlations between the change in energy intake, the change in carbohydrate intake or the change in insulin sensitivity and the change in outcome variables were found by calculating Pearson product-moment correlation coefficient or Spearman's rank correlation coefficient, as appropriate.

Models are adjusted for sex, age, change of body-mass-index, smoking (never, current, past), change of total energy intake (kcal/d), change of fibre intake (g/d), change of dietary polyunsaturated fatty acids intake (g/d), physical activity (kcal/d), intervention group, change of Mediterranean Diet Score, T2DM and baseline values of each metabolic marker.

It is difficult to determine to what exact extent reduced energy intake or changes in adipose tissue mass may contribute to the noted changes in iNKT cell function.

Previous studies indicated that including drinks into the ED calculation would dilute the associations of ED with both energy intake and changes of weight and waist circumference[16], [30].