Food patterns associated with overweight in 7-11-year old children
Machine-learning approach
Bibliographic Data
| ID | 16828020 |
|---|---|
| Authors | Emil Kupek (0000-0001-6704-1673, Universidade Federal de Santa Catarina), Rafaela Liberali (0000-0002-9471-7648, Universidade Federal de Santa Catarina) |
| Year | 2024 |
| Volume | 29 |
| Issue | 1 |
| Pages | e14712022-e14712022 |
| Publication date | 2024-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Ciência & Saúde Coletiva (JOURNAL) |
| Journal identifiers | ISSN: 1413-8123 • E-ISSN: 1678-4561 |
| Publisher | FapUNIFESP (SciELO) (PUBLISHER) |
| DOI | 10.1590/1413-81232024291.14712022 |
| PMID | 38198326 |
| OpenAlex | W4390660160 |
| SciELO | S1413-81232024000100308 |
| Language | EN |
| Citations received | 1 |
| References cited | 29 |
Longitudinal study, whose objective was to present a better strategy and statistical methods, and demonstrate its use with the data across the 2013-2015 period in schoolchildren aged 7 to 11 years, covered with the same food questionnaire (WebCAAFE) survey in Florianopolis, southern Brazil. Six meals/snacks and 32 foods/beverages yielded 192 possible combinations denominated meal/snack-Specific Food/beverage item (MSFIs). LASSO algorithm (LASSO-logistic regression) was used to determine the MSFIs predictive of overweight/obesity, and then binary (logistic) regression was used to further analyze a subset of these variables. Late breakfast, lunch and dinner were all associated with increased overweight/obesity risk, as was an anticipated lunch. Time-of-day or meal-tagged food/beverage intake result in large number of variables whose predictive patterns regarding weight status can be analyzed by machine learning such as LASSO, which in turn may identify the patterns not amenable to other popular statistical methods such as binary logistic regression
Environmental health · Logistic regression · Meal · Obesity · Overweight · Regression analysis · Statistics · Computer Science · Consumer Attitudes and Food Labeling · Demography · Mathematics · Medicine · Nutritional Studies and Diet · Obesity, Physical Activity, Diet · Internal Medicine
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| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |