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Smartphone use while eating increases caloric ingestion.

Authors
  • Gonçalves, Renata Fiche da Mata1
  • Barreto, Danyela de Almeida1
  • Monteiro, Pâmela Ione1
  • Zangeronimo, Márcio Gilberto2
  • Castelo, Paula Midori3
  • van der Bilt, Andries4
  • Pereira, Luciano José5
  • 1 Health Sciences Department, Universidade Federal de Lavras, Lavras (UFLA), Minas Gerais, Brazil. , (Brazil)
  • 2 Health Sciences Department, Universidade Federal de Lavras, Lavras (UFLA), Minas Gerais, Brazil. Electronic address: [email protected] , (Brazil)
  • 3 Department of Pharmaceutical Sciences, Universidade Federal de São Paulo (UNIFESP), Diadema, São Paulo, Brazil. , (Brazil)
  • 4 Department of Oral-Maxillofacial Surgery, Prosthodontics and Special Dental Care, University Medical Center Utrecht, Utrecht, the Netherlands. , (Netherlands)
  • 5 Health Sciences Department, Universidade Federal de Lavras, Lavras (UFLA), Minas Gerais, Brazil. Electronic address: [email protected] , (Brazil)
Type
Published Article
Journal
Physiology & behavior
Publication Date
May 15, 2019
Volume
204
Pages
93–99
Identifiers
DOI: 10.1016/j.physbeh.2019.02.021
PMID: 30776379
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

The use of smartphones during meals may possibly influence the number of ingested calories. We evaluated the influence of smartphones' distraction during eating on caloric intake. Physical (masticatory parameters, sex and body mass index - BMI); environmental (with or without distraction) and psychological (stress levels) variables were evaluated as confounding factors. Sixty-two adults were recruited for experimental snack tests performed on four different days. At baseline, we evaluated masticatory performance, swallowing threshold, masticatory frequency and body mass index (BMI). In the following three sessions, volunteers were presented a snack test in which participants ate under three experimental conditions: no distraction, using their smartphones, or reading a printed text. At the end of each session, total and nutritional compound stratified caloric intake was measured. Three-way mixed model ANOVA was used to test the effect of experimental condition on the total, carbohydrate and lipid caloric intakes. Hierarchical multiple linear regression models were used to estimate the influence of confounding factors on the total caloric intake. We found an effect of the condition (no distraction, smartphone or reading) on the total caloric (p = .007) and lipid intake (p = .002). When eating without distraction, the mean caloric intake was 535 (±164) kcal, in comparison to 591 (±203) kcal using smartphone (p = .05) and 622 (±226) kcal (p = .002) reading a text (no significant difference between distracters). Eating with distracters increased approximately 15% caloric ingestion. An interaction condition*sex effect was observed on lipid intake (p = .020). Energy intake was found to be dependent on sex and age, in which older men ingested more calories. Smartphone use during a meal increased caloric and lipid intake, depending on sex and age in young adults with complete dentition. Copyright © 2019 Elsevier Inc. All rights reserved.

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