Publication
Speed limits: the effects of industrial food processing and food texture on daily energy intake and eating behaviour in healthy adults
Publisher:
Springer Science and Business Media LLC
Date:
14-07-2023
DOI:
10.1007/S00394-023-03202-Z
Abstract: Frequent consumption of industrially processed foods has been associated with obesity. However, it is unknown what drives this association. Food textures of industrially processed foods that stimulate energy overconsumption may be an important driver of this association. Therefore, this study aimed to determine the independent and combined effects of food texture and level of industrial food processing (based on the NOVA classification) on daily energy intake and eating behaviour. Eighteen healthy adults (F/M: 11/7, 23 ± 3 y, 22.1 ± 2.0 kg/m 2 ) participated in a 2 × 2 randomized crossover dietary intervention with four conditions (total of 288 meals): hard unprocessed, hard (ultra-)processed, soft unprocessed and soft (ultra-)processed. Daily diets were offered ad libitum and were equal in energy density (1 kcal/g). Food Intake (g) was measured by pre- and post-consumption weighing of the plates. Eating behaviour parameters were derived from video annotations. Daily energy intake and food intake were, respectively, 33% (571 ± 135 kcal) and 14% (247 ± 146 g) lower in the hard compared to the soft conditions (main texture p 0.001). Energy intake was lower in both hard conditions compared to the (ultra)processed soft condition (Tukey p 0.04). Eating rate (g/min) was on average 85% slower ( P 0.001) in the hard compared to the soft conditions ( p 0.001). Level of processing did not affect food intake. Consumption of hard-textured foods reduces daily energy intake of (ultra-) processed foods. This preliminary investigation shows that there is great variability in food properties that affect energy and food intake beyond industrial food processing. However, findings should be interpreted with precaution considering the limited s le size of this trial. Future classification systems for public health messaging should include energy intake rate to help reduce overconsumption. NCT04280146, www.clinicaltrials.gov , February 21st 2020.