Zhao Boya, Li Weiyi, Liu Mengran, Chen Lili, Jiang Hongru, Li Fangyuan, Wang Shaoshunzi, Ding Na, Wang Liusen, Wang Zhihong
National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Wei Sheng Yan Jiu. 2024 May;53(3):419-434. doi: 10.19813/j.cnki.weishengyanjiu.2024.03.012.
To analyze the dietary patterns changes of young people aged 18-35 in 15 provinces(autonomous regions, municipalities) from 1989 to 2018.
Using the data of China Health and Nutrition Survey, a total of 25 400 young people aged 18-35 with complete dietary and sociodemographic information from 1989 to 2018 in 15 provinces(autonomous regions, municipalities) were selected as the research objects. Nutrition survey was carried out by using 3 consecutive days of 24-hour review method combined with weighing accounting method. Energy and nutrient intake was calculated based on food composition list. The principal component cluster analysis was used to select food groups and K-mean cluster was uesd to extract dietary patterns. Dwass-Steel-Critchlow-Fligner was used to test the difference of food intake in different dietary patterns. Cochran-Armitage trend test was to analyze the change of dietary patterns with the years. Chi-square test was to analyze the difference of people with different dietary patterns in 2018.
The dietary patterns of young people aged 18-35 in 15 provinces(autonomous regions, municipalities) were mainly divided into three categories: "traditional rice", "traditional pasta" and "high-quality protein". In 2018, the proportion of "traditional rice" dietary patterns was higher for men than for women, and the proportion of "high-quality protein" dietary patterns was lower than for women. The proportion of "traditional pasta" dietary pattern in people aged 25-35 was higher than that aged 18-24, and the proportion of "high-quality protein" dietary pattern was lower than that aged 18-24. The proportion of people in urban with "traditional rice" dietary pattern was lower than that in rural areas, and the proportion of "high-quality protein" dietary pattern was higher than that in rural areas. The northern region was dominated by "traditional pasta" dietary pattern, while the southern region was dominated by "traditional rice" dietary pattern, and the proportion of people with "high-quality protein" dietary pattern was higher in the northern region than in the southern region. With the increase of education level and income level, the proportion of people with "high-quality protein" dietary pattern showed an increasing trend. From 1989 to 2018, the "traditional rice" dietary pattern had always maintained a high proportion among young people aged 18-35 in 15 provinces(autonomous regions, municipalities) in China, and the "traditional pasta" dietary pattern had been decreasing since 2009, and the "high-quality protein" dietary pattern had significantly increased since 2011.
From 1989 to 2018, the proportion of young people aged 18-35 with reasonable dietary pattern has increased in 15 provinces(autonomous regions, municipalities), but the traditional dietary pattern still needs to be improved.
分析1989年至2018年15个省(自治区、直辖市)18 - 35岁年轻人的饮食模式变化。
利用中国健康与营养调查数据,选取1989年至2018年15个省(自治区、直辖市)共25400名18 - 35岁且饮食和社会人口学信息完整的年轻人作为研究对象。采用连续3天的24小时回顾法结合称重记账法进行营养调查。根据食物成分表计算能量和营养素摄入量。运用主成分聚类分析选择食物组,采用K均值聚类提取饮食模式。使用Dwass - Steel - Critchlow - Fligner检验不同饮食模式下食物摄入量的差异。采用 Cochr an - Armitage趋势检验分析饮食模式随年份的变化。运用卡方检验分析2018年不同饮食模式人群的差异。
15个省(自治区、直辖市)18 - 35岁年轻人的饮食模式主要分为三类:“传统米饭”“传统面食”和“优质蛋白质”。2018年,男性中“传统米饭”饮食模式的比例高于女性,“优质蛋白质”饮食模式的比例低于女性。25 - 35岁人群中“传统面食”饮食模式的比例高于18 - 24岁人群,“优质蛋白质”饮食模式的比例低于18 - 24岁人群。城市中具有“传统米饭”饮食模式的人群比例低于农村地区,“优质蛋白质”饮食模式的比例高于农村地区。北方地区以“传统面食”饮食模式为主,南方地区以“传统米饭”饮食模式为主,北方地区具有“优质蛋白质”饮食模式的人群比例高于南方地区。随着教育水平和收入水平的提高,具有“优质蛋白质”饮食模式的人群比例呈上升趋势。1989年至2018年,中国15个省(自治区、直辖市)18 - 35岁年轻人中,“传统米饭”饮食模式一直保持较高比例,“传统面食”饮食模式自2009年以来呈下降趋势,“优质蛋白质”饮食模式自2011年以来显著增加。
1989年至2018年,15个省(自治区、直辖市)18 - 35岁饮食模式合理的年轻人比例有所增加,但传统饮食模式仍需改进。