Understanding the influence of the snack definition on the association between snacking and obesity: a review
Abstract
The aim of the present study is to understand how different definitions of snacking influence the estimated probability of obesity in the presence of concurrent risk factors. Factors influencing obesity were evaluated by reviewing the relevant literature through a PUBMED search. Six different modalities to define snack consumption were identified. A Bayesian network model in which nodes represent the variables that the retrieved studies indicate as affecting the probability of obesity was implemented and used to estimate the individual risk of developing obesity taking into account the concurrent effect of the considered risk factors. For a subject with a given profile of factors, the probability of obesity varies according to the chosen definition of snacking, up to maximum of 70%. The variability of the probability of obesity attributable to the chosen definition of snacking is very high and may threaten any conclusion about the effect of snacking, which may be related to the specific definitions adopted in the study.
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An oft-cited drawback to interpreting evidence from these studies has been the different approaches employed to operationally define meals and/or snacks.
“An oft-cited drawback to interpreting the evidence from these studies has been the different approaches employed to operationally define meals and/or snacks( 5 , 7 ).”
From Understanding meal patterns: definitions, methodology and impact on nutrient intake and diet quality (2015) · cites this paper as [7]
Previous reviews of the impact of different definitions on the interpretation of meal pattern studies have examined snacking only.
“However, previous reviews of the impact of different definitions on the interpretation of meal pattern studies have examined snacking only( 7 , 8 ).”
From Understanding meal patterns: definitions, methodology and impact on nutrient intake and diet quality (2015) · cites this paper as [7]
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- Authors
- Gregori, D., Foltran, F., Ghidina, M., & Berchialla, P.
- Affiliations
- University of Padua (IT)
- University of Turin (IT)
- Venue
- International Journal of Food Sciences and Nutrition
- Publisher
- Informa UK Limited
- Published
- 2010-12
- Volume
- 62
- Issue
- 3
- Pages
- 270-275
- ISSN
- 0963-7486 (ISSN-L)
- 1465-3478
- OpenAlex
- W2052287172
- Cited by
- 70
- References
- 49
- Citations by year
- 2026: 2 · 2024: 6 · 2023: 8 · 2022: 5 · 2021: 4 · 2020: 2 · 2019: 7 · 2018: 8 · 2017: 4 · 2016: 5 · 2015: 8 · 2014: 5 · 2013: 3 · 2012: 2
- FWCI
- 0.28
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Food Sciences and Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Institutional Research Information System University of Turin (University of Turin) (submittedVersion)
- Padua Research Archive (University of Padova) (submittedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
- Health Sciences › Medicine › Physiology › Dietary Effects on Health
- Keywords
- snacking, obesity, obesity risk factors, Bayesian network model, individual risk assessment, dietary assessment
- MeSH terms
- Bayes Theorem, Energy Intake, Diet, Feeding Behavior, Humans, Models, Biological, Obesity, Risk Factors
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