Eating Habits and Lifestyle Factors Related to Childhood Obesity Among Children Aged 5-6 Years: Cluster Analysis of Panel Survey Data in Korea (Preprint) Article Swipe
Heemoon Lim
,
Hyejung Lee
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.2196/preprints.51581
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.2196/preprints.51581
BACKGROUND Childhood obesity has emerged as a major health issue due to the rapid growth in the prevalence of obesity among young children worldwide. Establishing healthy eating habits and lifestyles in early childhood may help children gain appropriate weight and further improve their health outcomes later in life. OBJECTIVE This study aims to classify clusters of young children according to their eating habits and identify the features of each cluster as they relate to childhood obesity. METHODS A total of 1280 children were selected from the Panel Study on Korean Children. Data on their eating habits (eating speed, mealtime regularity, consistency of food amount, and balanced eating), sleep hours per day, outdoor activity hours per day, and BMI were obtained. We performed a cluster analysis on the children’s eating habits using k-means methods. We conducted ANOVA and chi-square analyses to identify differences in the children’s BMI, sleep hours, physical activity, and the characteristics of their parents and family by cluster. RESULTS At both ages (ages 5 and 6 years), we identified 4 clusters based on the children’s eating habits. Cluster 1 was characterized by a fast eating speed (fast eaters); cluster 2 by a slow eating speed (slow eaters); cluster 3 by irregular eating habits (poor eaters); and cluster 4 by a balanced diet, regular mealtimes, and consistent food amounts (healthy eaters). Slow eaters tended to have the lowest BMI (P<.001), and a low proportion had overweight and obesity at the age of 5 years (P=.03) and 1 year later (P=.005). There was a significant difference in sleep time (P=.01) and mother’s education level (P=.03) at the age of 5 years. Moreover, there was a significant difference in sleep time (P=.03) and the father’s education level (P=.02) at the age of 6 years. CONCLUSIONS Efforts to establish healthy eating habits in early childhood may contribute to the prevention of obesity in children. Specifically, providing dietary guidance on a child’s eating speed can help prevent childhood obesity. This research suggests that lifestyle modification could be a viable target to decrease the risk of childhood obesity and promote the development of healthy children. Additionally, we propose that future studies examine long-term changes in obesity resulting from lifestyle modifications in children from families with low educational levels.
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Metadata
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- Language
- en
- Landing Page
- https://doi.org/10.2196/preprints.51581
- OA Status
- gold
- References
- 38
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385634821
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https://openalex.org/W4385634821Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.2196/preprints.51581Digital Object Identifier
- Title
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Eating Habits and Lifestyle Factors Related to Childhood Obesity Among Children Aged 5-6 Years: Cluster Analysis of Panel Survey Data in Korea (Preprint)Work title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-08-04Full publication date if available
- Authors
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Heemoon Lim, Hyejung LeeList of authors in order
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https://doi.org/10.2196/preprints.51581Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.2196/preprints.51581Direct OA link when available
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Childhood obesity, Meal, Cluster (spacecraft), Obesity, Body mass index, Medicine, Demography, Overweight, Psychology, Environmental health, Developmental psychology, Computer science, Sociology, Internal medicine, Pathology, Programming languageTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.clusters | 57, 179 |
| abstract_inverted_index.decrease | 347 |
| abstract_inverted_index.eaters). | 228 |
| abstract_inverted_index.eaters); | 196, 205, 213 |
| abstract_inverted_index.eating), | 111 |
| abstract_inverted_index.families | 378 |
| abstract_inverted_index.features | 69 |
| abstract_inverted_index.guidance | 324 |
| abstract_inverted_index.identify | 67, 145 |
| abstract_inverted_index.mealtime | 103 |
| abstract_inverted_index.methods. | 137 |
| abstract_inverted_index.obesity. | 78, 334 |
| abstract_inverted_index.outcomes | 45 |
| abstract_inverted_index.physical | 153 |
| abstract_inverted_index.research | 336 |
| abstract_inverted_index.selected | 88 |
| abstract_inverted_index.suggests | 337 |
| abstract_inverted_index.Childhood | 2 |
| abstract_inverted_index.Children. | 95 |
| abstract_inverted_index.Moreover, | 278 |
| abstract_inverted_index.according | 61 |
| abstract_inverted_index.activity, | 154 |
| abstract_inverted_index.childhood | 33, 77, 311, 333, 351 |
| abstract_inverted_index.children. | 320, 359 |
| abstract_inverted_index.child’s | 327 |
| abstract_inverted_index.conducted | 139 |
| abstract_inverted_index.education | 269, 291 |
| abstract_inverted_index.establish | 305 |
| abstract_inverted_index.irregular | 209 |
| abstract_inverted_index.lifestyle | 339, 373 |
| abstract_inverted_index.long-term | 367 |
| abstract_inverted_index.obtained. | 124 |
| abstract_inverted_index.performed | 126 |
| abstract_inverted_index.providing | 322 |
| abstract_inverted_index.resulting | 371 |
| abstract_inverted_index.chi-square | 142 |
| abstract_inverted_index.consistent | 224 |
| abstract_inverted_index.contribute | 313 |
| abstract_inverted_index.difference | 262, 283 |
| abstract_inverted_index.father’s | 290 |
| abstract_inverted_index.identified | 177 |
| abstract_inverted_index.lifestyles | 30 |
| abstract_inverted_index.mealtimes, | 222 |
| abstract_inverted_index.mother’s | 268 |
| abstract_inverted_index.overweight | 243 |
| abstract_inverted_index.prevalence | 18 |
| abstract_inverted_index.prevention | 316 |
| abstract_inverted_index.proportion | 241 |
| abstract_inverted_index.worldwide. | 24 |
| abstract_inverted_index.appropriate | 38 |
| abstract_inverted_index.consistency | 105 |
| abstract_inverted_index.development | 356 |
| abstract_inverted_index.differences | 146 |
| abstract_inverted_index.educational | 381 |
| abstract_inverted_index.regularity, | 104 |
| abstract_inverted_index.significant | 261, 282 |
| abstract_inverted_index.Establishing | 25 |
| abstract_inverted_index.children’s | 132, 149, 183 |
| abstract_inverted_index.modification | 340 |
| abstract_inverted_index.Additionally, | 360 |
| abstract_inverted_index.Specifically, | 321 |
| abstract_inverted_index.characterized | 189 |
| abstract_inverted_index.modifications | 374 |
| abstract_inverted_index.characteristics | 157 |
| abstract_inverted_index.<title>METHODS</title> | 81 |
| abstract_inverted_index.<title>RESULTS</title> | 167 |
| abstract_inverted_index.<title>OBJECTIVE</title> | 51 |
| abstract_inverted_index.<title>BACKGROUND</title> | 1 |
| abstract_inverted_index.<i>k</i>-means | 136 |
| abstract_inverted_index.(<i>P</i>=.01) | 266 |
| abstract_inverted_index.(<i>P</i>=.02) | 293 |
| abstract_inverted_index.(<i>P</i>=.03) | 252, 271, 287 |
| abstract_inverted_index.<title>CONCLUSIONS</title> | 302 |
| abstract_inverted_index.(<i>P</i>=.005). | 257 |
| abstract_inverted_index.(<i>P</i>&lt;.001), | 237 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 2 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/1 |
| sustainable_development_goals[0].score | 0.46000000834465027 |
| sustainable_development_goals[0].display_name | No poverty |
| citation_normalized_percentile.value | 0.19376622 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |