TY - JOUR
T1 - Dietary habits and complex food relations in Northwest China
T2 - A population-based network analysis
AU - Hui, Jing
AU - Chacha, Samuel
AU - Yan, Huang
AU - Li, Zongkai
AU - Cai, Jiaxin
AU - Mi, Baibing
AU - Dai, Jianghong
AU - Zhang, Yuhong
AU - Wang, Xinhua
AU - Ma, Fuchang
AU - Kang, Yijun
AU - Wang, Duolao
AU - Yan, Hong
AU - Dang, Shaonong
N1 - Publisher Copyright:
© Author(s) (or their employer(s)) 2025.
PY - 2025/4/30
Y1 - 2025/4/30
N2 - Introduction: This study examines dietary network in Northwest China, focusing on food group consumption and regional trends using network analysis. Methods: Data from 106 424 participants in the Regional Ethnic Cohort Study were calculated using a semiquantitative food frequency questionnaire. We compared intake with the 2022 Chinese Dietary Guidelines and employed the EBICglasso method to construct dietary and staple food-related network, assessing its stability and accuracy. Results: Northwest China's staple food intake was 37.5% of total consumption, dominated by wheat. Compared with the Chinese dietary guidelines, participants' intake of staple foods, soybeans and nuts was within the acceptable range, with insufficient intake of whole grains and beans, animal source of foods, eggs, fruits and vegetables but excessive intake of salt. Intake varied by province, sex and age. In overall participants, the strongest correlations were found between the two food groups, namely fruits and vegetables (0.33), and animal source of foods and dairy products (0.24) in dietary network. Soybeans and nuts appeared to connect to more other foods and also higher correlation with other foods and were followed by animal source of food. The staple food-related food network indicated that the intake of rice, whole grains and beans, and potatoes was positively correlated with the intake of most other foods, while intake of wheat was negatively correlated with foods of animal source of food, milk and dairy products. Conclusions: Northwest China's diet exhibits irrational patterns, highlighting the importance of assessing overall dietary patterns in nutritional evaluation.
AB - Introduction: This study examines dietary network in Northwest China, focusing on food group consumption and regional trends using network analysis. Methods: Data from 106 424 participants in the Regional Ethnic Cohort Study were calculated using a semiquantitative food frequency questionnaire. We compared intake with the 2022 Chinese Dietary Guidelines and employed the EBICglasso method to construct dietary and staple food-related network, assessing its stability and accuracy. Results: Northwest China's staple food intake was 37.5% of total consumption, dominated by wheat. Compared with the Chinese dietary guidelines, participants' intake of staple foods, soybeans and nuts was within the acceptable range, with insufficient intake of whole grains and beans, animal source of foods, eggs, fruits and vegetables but excessive intake of salt. Intake varied by province, sex and age. In overall participants, the strongest correlations were found between the two food groups, namely fruits and vegetables (0.33), and animal source of foods and dairy products (0.24) in dietary network. Soybeans and nuts appeared to connect to more other foods and also higher correlation with other foods and were followed by animal source of food. The staple food-related food network indicated that the intake of rice, whole grains and beans, and potatoes was positively correlated with the intake of most other foods, while intake of wheat was negatively correlated with foods of animal source of food, milk and dairy products. Conclusions: Northwest China's diet exhibits irrational patterns, highlighting the importance of assessing overall dietary patterns in nutritional evaluation.
KW - Dietary patterns
KW - Nutrient deficiencies
KW - Nutrition assessment
U2 - 10.1136/bmjnph-2024-001153
DO - 10.1136/bmjnph-2024-001153
M3 - Article
AN - SCOPUS:105005147540
SN - 2516-5542
VL - 8
SP - 57
EP - 65
JO - BMJ Nutrition, Prevention and Health
JF - BMJ Nutrition, Prevention and Health
IS - 1
M1 - bmjnph-2024-001153
ER -