Higher Energy Intake Variability as Predisposition to Obesity: Novel Approach Using Interquartile Range
Language English Country Czech Republic Media print
Document type Journal Article
Grant support
881/2007
Ministry of Education of the Czech Republic - International
DANONE/2007
Danone Institute of the Czech Republic - International
PubMed
29346857
DOI
10.21101/cejph.a4451
PII: cejph.a4451
Knihovny.cz E-resources
- Keywords
- anthropometry, energy distribution, energy intake, obesity, interquartile range, variability,
- MeSH
- Diet methods statistics & numerical data MeSH
- Diet Records MeSH
- Adult MeSH
- Energy Intake * MeSH
- Body Mass Index MeSH
- Middle Aged MeSH
- Humans MeSH
- Adolescent MeSH
- Young Adult MeSH
- Obesity epidemiology MeSH
- Waist Circumference MeSH
- Waist-Hip Ratio statistics & numerical data MeSH
- Aged MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Adolescent MeSH
- Young Adult MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Geographicals
- Czech Republic epidemiology MeSH
OBJECTIVE: It is known that total energy intake and its distribution during the day influences human anthropometric characteristics. However, possible association between variability in total energy intake and obesity has thus far remained unexamined. This study was designed to establish the influence of energy intake variability of each daily meal on the anthropometric characteristics of obesity. METHODS: A total of 521 individuals of Czech Caucasian origin aged 16–73 years (390 women and 131 men) were included in the study, 7-day food records were completed by all study subjects and selected anthropometric characteristics were measured. The interquartile range (IQR) of energy intake was assessed individually for each meal of the day (as a marker of energy intake variability) and subsequently correlated with body mass index (BMI), body fat percentage (%BF), waist-hip ratio (WHR), and waist circumference (cW). RESULTS: Four distinct models were created using multiple logistic regression analysis and backward stepwise logistic regression. The most precise results, based on the area under the curve (AUC), were observed in case of the %BF model (AUC=0.895) and cW model (AUC=0.839). According to the %BF model, age (p<0.001) and IQR-lunch (p<0.05) seem to play an important prediction role for obesity. Likewise, according to the cW model, age (p<0.001), IQR-breakfast (p<0.05) and IQR-dinner (p <0.05) predispose patients to the development of obesity. The results of our study show that higher variability in the energy intake of key daily meals may increase the likelihood of obesity development. CONCLUSIONS: Based on the obtained results, it is necessary to emphasize the regularity in meals intake for maintaining proper body composition.
Department of Mathematics and Statistics Faculty of Science Masaryk University Brno Czech Republic
Department of Pathological Physiology Faculty of Medicine Masaryk University Brno Czech Republic
Department of Public Health Faculty of Medicine Masaryk University Brno Czech Republic
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