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Outline
To explore the network structure of dietary intake and physical fitness subtypes among junior and senior high school students, so as to provide precise and efficient intervention guidance for improving abnormal physical health issues in adolescents.
Based on the 2020-2021 Database of Youth Health (DYH), a total of 9 730 junior and senior high school students in Shandong Province were included for analysis. Dietary intake was assessed using a modified Chinese Dietary Quality Questionnaire, and physical fitness was evaluated according to the "2014 National Student Physical Fitness Standard". The K-means clustering algorithm was employed to identify potential subtypes of physical fitness in junior and high school students. Network analysis was used to construct a network linking dietary intake and physical fitness symptoms and to identify clusters of dietary behaviors and physical fitness symptoms among adolescents of different genders.
The physical fitness among junior and senior high school students of different genders were categorized into two subtypes: the baseline steady type (3 427 male students, 4 039 female students) and the morphological deviation type (1 294 male students, 970 female students). Statistically significant differences were observed in network strength and network connectivity strength among different genders and physical fitness subtypes (all P < 0.05). Connections between food intake and physical health symptom clusters across different genders and physical health types among junior and senior high school students were primarily achieved through instant noodle intake and physical fitness (males of morphological deviation type, weight=0.06), fruit intake and physical fitness (males of baseline steady type, weight=-0.07), potato intake and vital capacity (females of morphological deviation type, weight=0.09), and processed meat intake and vital capacity (females of baseline steady type, weight=0.05).
Dietary intake serves as a significant modifiable risk factor for the physical fitness of junior and high school students. Interventions should focus on promoting healthy eating habits.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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