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Association of dining locations with nutritional status among Chinese children aged 6-17 years
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Yimeng FU1, Qian GAN1, Titi YANG1, Juan XU1, Peipei XU1, Wei CAO1, Hongliang WANG1, Ruihe LUO1, Hui PAN1, Zhifang WANG1, Wenxin SUN1, Zhenyu YANG1, Wenhua ZHAO1, Qian ZHANG*, 1, 2
Chinese Journal of School Health | 2025, 46(5) : 642 - 646
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Chinese Journal of School Health | 2025, 46(5): 642-646
• Student Nutrition •
Association of dining locations with nutritional status among Chinese children aged 6-17 years
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Yimeng FU1, Qian GAN1, Titi YANG1, Juan XU1, Peipei XU1, Wei CAO1, Hongliang WANG1, Ruihe LUO1, Hui PAN1, Zhifang WANG1, Wenxin SUN1, Zhenyu YANG1, Wenhua ZHAO1, Qian ZHANG*, 1, 2
Affiliations
  • 1National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing(100050), China
Published: 2025-05-25 doi: 10.16835/j.cnki.1000-9817.2025112
Outline
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Objective

To analyze the association of eating dining locations and their association with nutritional status among Chinese children aged 6-17 years, so as to provide reference for guiding children's reasonable diet.

Methods

Stratified random cluster sampling was used to select children aged 6 to 17 years from 28 cities and rural areas of 14 provinces in East, North, Central, South, Southwest, Northwest, Northeast of China, and a total of 52 535 children were included in the study from 2019 to 2021. Information including dining locations, demographic characteristics, dietary intakes and physical activity were collected through a questionnaire survey. Fasting body height and weight were measured in the morning. Unordered multiclass Logistic regression analysis was conducted to assess the relationship between dining locations and nutritional status in children.

Results

Regarding children's dining locations, 66.3% ate breakfast at home, 25.8% ate breakfast at school, 7.9% ate breakfast outside (small dining tables, restaurants, stalls, etc.); 67.7% ate dinner at home, 29.0% ate dinner at school, 3.3% ate dinner outside; and 63.6% ate lunch at school, 30.8% ate lunch at home, 5.7% ate lunch outside. The prevalence rates of overweight/obesity and undernutrition were 28.6% and 9.3%, respectively. The adjusted multiclass Logistic regression analysis (controlling for age, region, parental education, household income, total energy intake, and moderate-to-vigorous physical activity) demonstrated that, compared to eating at home, school-based breakfast and dinner consumption was associated with significantly lower overweight/obesity risks for both genders (boys: breakfast OR=0.70, 95%CI=0.65-0.75; dinner OR=0.80, 95%CI=0.74-0.86; girls: breakfast OR=0.89, 95%CI=0.82-0.96; dinner OR=0.88, 95%CI=0.81-0.95), whereas eating lunch away from home significantly increased overweight/obesity risks (boys: OR=1.32, 95%CI=1.17-1.48; girls: OR=1.43, 95%CI=1.26-1.62), with all associations being statistically significant (P < 0.05). After adjusting for confounding factors, boys who ate breakfast away from home showed a significantly reduced risk of undernutrition (OR=0.80, 95%CI=0.66-0.97), while those consuming lunch away from home had an increased risk (OR=1.26, 95%CI=1.01-1.57) (P < 0.05).

Conclusions

The choice of dining locations for children is becoming more diverse, and a relatively high proportion of children eat meals outside the home and at school. Eating out have a higher risk of malnutrition for children. School feeding may be beneficial to children's physical health.

Food habits  /  Nutritional status  /  Regression analysis  /  Child
付一萌, 甘倩, 杨媞媞, 许娟, 徐培培, 曹薇, 王宏亮, 罗瑞鹤, 潘慧, 王志芳, 孙文鑫, 杨振宇, 赵文华, 张倩. 中国6~17岁儿童就餐地点与营养状况的关系. 中国学校卫生, 2025 , 46 (5) : 642 -646 . DOI: 10.16835/j.cnki.1000-9817.2025112
Yimeng FU, Qian GAN, Titi YANG, Juan XU, Peipei XU, Wei CAO, Hongliang WANG, Ruihe LUO, Hui PAN, Zhifang WANG, Wenxin SUN, Zhenyu YANG, Wenhua ZHAO, Qian ZHANG. Association of dining locations with nutritional status among Chinese children aged 6-17 years[J]. Chinese Journal of School Health, 2025 , 46 (5) : 642 -646 . DOI: 10.16835/j.cnki.1000-9817.2025112
Year 2025 volume 46 Issue 5
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doi: 10.16835/j.cnki.1000-9817.2025112
  • Receive Date:2024-01-08
  • Online Date:2026-11-06
  • Published:2025-05-25
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  • Received:2024-01-08
  • Revised:2024-03-21
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    1National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing(100050), China
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表12种不同金属材料的力学参数
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Family
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Number of
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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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