Contribution of energy density and food quantity to short-term fluctuations of energy intake in normal weight and obese subjects

Schusdziarra, V.; Hausmann, M.; Wittke, Claudia; Mittermeier, Johanna; Kellner, M.; Wagenpfeil, Stefan; Erdmann, Johannes

doi:10.1007/s00394-009-0046-6

Cited by 17 publications

(13 citation statements)

References 30 publications

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“…In both groups data were analyzed on the basis of 1. absolute breakfast energy intake and 2. the ratio of breakfast to overall energy intake, respectively. A detailed analysis of total daily and single meal food intake has been reported recently for both groups [6-10]. The overall energy intake by solid food and beverages was comparable to the age- and gender-related groups of the recent German National Nutrition Survey II [11].…”

Section: Introductionmentioning

confidence: 87%

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Impact of breakfast on daily energy intake - an analysis of absolute versus relative breakfast calories

Schusdziarra

Hausmann

Wittke

et al. 2011

Nutr J

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ObjectiveThe role of breakfast energy in total daily energy intake is a matter of debate. Acute feeding experiments demonstrated that high breakfast energy leads to greater overall intake supported by cross-sectional data of a free-living population. On the other hand, a large intraindividual analysis has indicated that a high proportion of breakfast to overall intake is associated with lower daily energy intake. To evaluate these apparently contradictory results in greater detail both ways of analysis were applied to the same data set of dietary records.MethodsOn an intraindividual basis total daily energy intake was related to the absolute values of breakfast energy intake or to the ratio of breakfast to overall intake, respectively. Food intake of 280 obese and 100 normal weight subjects was analyzed who recorded over 10 (obese) or 14 (normal weight) consecutive days, respectively.ResultsIncreasing breakfast energy was associated with greater overall intake in normal weight and obese subjects. The increasing ratio of breakfast to total daily energy intake was associated with a significant reduction of overall intake on days where post-breakfast energy was significantly reduced. Correlational and multiple regression analysis support the concept that absolute breakfast calories have the strongest influence on daily energy intake.ConclusionReduced breakfast energy intake is associated with lower total daily intake. The influence of the ratio of breakfast to overall energy intake largely depends on the post-breakfast rather than breakfast intake pattern. Therefore, overweight and obese subjects should consider the reduction of breakfast calories as a simple option to improve their daily energy balance.

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Section: Introductionmentioning

confidence: 87%

“…Energy containing beverages were recorded separately. A detailed analysis of the food intake data has recently been reported [6-10]. …”

Section: Methodsmentioning

confidence: 99%

Impact of breakfast on daily energy intake - an analysis of absolute versus relative breakfast calories

Schusdziarra

Hausmann

Wittke

et al. 2011

Nutr J

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“…In view of this high rate of individual inaccuracy, it would not make sense to rely on estimates of REE for prescriptions of dietary energy intake. Furthermore, obese subjects have a substantial day-to-day fluctuation of energy intake in the range of 1,200 kcal [36]. Thus, constant adherence to prescribed energy intake seems to be rather unlikely.…”

Section: Discussionmentioning

confidence: 99%

Accuracy of Resting Energy Expenditure Calculations in Unselected Overweight and Obese Patients

Schusdziarra¹,

Wolfschläger²,

Hausmann³

et al. 2014

Ann Nutr Metab

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Aims: Measurements of resting energy expenditure (REE) were compared with the data of 14 equations to determine their accuracy. Methods: REE measurements by indirect calorimetry in 1,032 unselected overweight and obese men (n = 306) and women (n = 726) were compared with calculations by 14 different formulas. Results: The mean (± SD) values calculated with the Owen, Robertson and Reid and WHO-I equations were not significantly different from our measurement of 1,682 ± 441.9 kcal/24 h. The values obtained with the Livingston, Mifflin, Müller and Bernstein equations were significantly different but still within a range of ±100 kcal/24 h. For females, the best comparison was observed with the Müller equation which, however, differed substantially in males. For men, the Cunningham equation was best, but it gave the worst comparison in women. A good individual match was only obtained with the equation of Robertson and Reid in 34% of the men and with the Owen equation in 38% of the women. All other formulas were less accurate. Drug treatment for 55% of the subjects had no effect on the mismatch between calculated and measured data. Conclusion: Calculations of REE with most equations seem to be valid in a group analysis but they are not helpful for the estimation of an obese patient's individual energy expenditure.

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“…The impact of food PS has been well documented in the US (5,6) where PS have increased in parallel with obesity (7) since the late 1970s (8) . The prevalence of larger PS is evident both within and outside of the home (9) , particularly for foods of high-energy density (10) , and in both adults (11)(12)(13)(14) and adolescents (15) , especially in those with a higher BMI (16)(17)(18)(19) . Limited data from Europe demonstrate broadly similar trends to the US (20) ; although, in the US, PS of fast food in particular are larger than those in Europe (21) .…”

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confidence: 99%

Serving size guidance for consumers: is it effective?

et al. 2012

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Larger portion sizes (PS) may be inciting over-eating and contributing to obesity rates. Currently, there is a paucity of data on the effectiveness of serving size (SS) guidance. The aims of the present review are to evaluate SS guidance; the understanding, usability and acceptability of such guidance, its impact on consumers and potential barriers to its uptake. A sample of worldwide SS guidance schemes (n 87) were identified using targeted and untargeted searches, overall these were found to communicate various inconsistent and often conflicting messages about PS selection. The available data suggest that consumers have difficulty in understanding terms such as ‘portion size’ and ‘serving size’, as these tend to be used interchangeably. In addition, discrepancies between recommended SS and those present on food labels add to the confusion. Consumers generally understand and visualise SS best when expressed in terms of household measures rather than actual weights. Only a limited number of studies have examined the direct impact of SS guidance on consumer behaviour with equivocal results. Although consumers recognise that guidance on selecting SS would be helpful, they are often unwilling to act on such guidance. The challenge of achieving consumer adherence to SS guidance is formidable due to several barriers including chronic exposure to larger PS, distorted consumption norms and perceptions, the habit of ‘cleaning one's plate’ and language barriers for ethnic minorities. In conclusion, the impact of SS guidance on consumers merits further investigation to ensure that future guidance resonates with consumers by being more understandable, usable and acceptable.

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Contribution of energy density and food quantity to short-term fluctuations of energy intake in normal weight and obese subjects

Cited by 17 publications

References 30 publications

Impact of breakfast on daily energy intake - an analysis of absolute versus relative breakfast calories

Impact of breakfast on daily energy intake - an analysis of absolute versus relative breakfast calories

Accuracy of Resting Energy Expenditure Calculations in Unselected Overweight and Obese Patients

Serving size guidance for consumers: is it effective?

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