| 573 | 3 | 82 |
| 下载次数 | 被引频次 | 阅读次数 |
目的 了解中国儿童主要膳食模式及膳食网络,探寻不同地区饮食差异。方法 利用1997—2011年“中国健康与营养调查”数据,以5824名3~17岁儿童(女童47.1%)为研究对象。地区为北部沿海综合经济区(北部沿海)、东北、华中、东部沿海综合经济区(东部沿海)、大西南综合经济区(大西南)5个地区。采用连续3天24小时膳食回顾法获得膳食资料,采用称重法进行食用油和调味品收集。通过因子分析建立膳食模式,使用秩和检验分析5个地区每种膳食模式得分差异,并利用SNK法进行两两比较;通过计算食物组间互信息(可检测非线性关联方法)构建各地区儿童膳食网络图。结果因子分析(KMO检验值为0.60,Bartlett’s球形检验P<0.01)得到5种膳食模式,累计方差贡献率为42%:模式一以小麦和其他谷物为主,并摄入较少稻米、肉类和水产类;模式二以水果、肉类、乳类、蛋类、中式小吃和速食为主;模式三以薯类、零食、糕点、饮料和速食为主;模式四以稻米、薯类、蔬菜为主;模式五以豆类、坚果、水产类为主。模式一、模式二和模式三得分差异有统计学意义(P<0.01),模式一得分较高为东北、华中和北部沿海地区,模式二得分较高为北部沿海和东部沿海地区,模式三东北地区得分高于华中和大西南地区,北部沿海和东部沿海地区在两两比较中与其他地区差异无统计学意义,模式四和模式五各地区得分差异无统计学意义。在膳食网络图中,北部沿海、华中和大西南地区的儿童表现出1个具有较大规模的主要食物网络,呈现较高的食物选择集中度。东北地区儿童展现出2个相对分散的食物网络,而东部沿海地区儿童则呈现出4个分散的食物网络,揭示了其膳食模式更为多元化。五地区膳食网络的中心节点均含有蔬菜或谷类食物,体现了中国传统膳食模式的特征。结论 中国五地区儿童的膳食模式和膳食网络呈现地区差异。
Abstract:OBJECTIVE To analyze the dietary patterns and dietary networks of children in China, explore regional differences in dietary habits in each region.METHODS The subjects of the study were children aged 3-17(n=5824) in North Coast Economic Zone, Northeast, Central China, East Coast Economic Zone and Southwest Economic Zone who participated in the China Health and Nutrition Survey. The dietary pattern was obtained by factor analysis. Using mutual information, a measure to detect both linear and non-linear correlations between food groups constructed the dietary networks.RESULTS Factor analysis resulted in five dietary patterns. Pattern 1 was related to high intakes of wheat and other cereals, pattern 2 was related to high intakes of fruits, milk, eggs and fast foods, pattern 3 was associated with high intakes of tubers, snacks, cakes, beverages and fast foods. The Northeast, Central China and North Coast Economic Zone regions had higher pattern 1 score. Pattern 2 scored higher for North Coast Economic Zone and East Coast Economic Zone regions. Pattern 3 scores in the Northeast region were higher than North Coast Economic Zone and East Coast Economic Zone regions. North Coast Economic Zone, Central China and Southwest Economic Zone regions had focused networks. The network of Northeast and East Coast Economic Zone regions were multiple. All regions were characterized by vegetables, or cereals as the hub.CONCLUSION The dietary patterns and networks of children in the five regions of China exhibit regional differences.
[1] HEIDARI-BENI M.Early life nutrition and non communicable disease [J].Adv Exp Med Biol,2019,1121:33-40.
[2] ZHAO J,LI Z,GAO Q,et al.A review of statistical methods for dietary pattern analysis [J].Nutr J,2021,20(1):37.
[3] HU FB.Dietary pattern analysis:a new direction in nutritional epidemiology [J].Curr Opin Lipidol,2002,13(1):3-9.
[4] SAMIERI C,SONAWANE A R,LEFèVRE-ARBOGAST S,et al.Using network science tools to identify novel diet patterns in prodromal dementia [J].Neurology,2020,94(19):e2014-e2025.
[5] 郭娟.中国饮食文化中的地域性研究 [J].中国食品,2021 (19):59-60.
[6] POPKIN B M,DU S,ZHAI F,et al.Cohort profile:the China health and nutrition survey—monitoring and understanding socio-economic and health change in China,1989-2011 [J].Inter J Epidemol,2010,39(6):1435-1440.
[7] 韩渊丰,张加恭,张争胜.中国区域地理 [M].广州:广东高等教育出版社,2008.
[8] 任启龙,王利,李会.中国区域经济发展空间差异性分析 [J].地理与地理信息科学,2017,33(1):110-116.
[9] 王光亚.食物成分表(全国代表值)[M].北京:人民卫生出版社,1991.
[10] 杨月欣,王光亚,潘兴昌.中国食物成分表2002 [M].北京:北京大学医学出版社,2002.
[11] 杨月欣,何梅,潘兴昌.中国食物成分表2004 [M].北京:北京大学医学出版社,2004.
[12] 杨月欣,王光亚,潘兴昌.中国食物成分表(第一册)[M].2版.北京:北京大学医学出版社,2009.
[13] 李丹婷,陈梦雪,薛红妹,等.成都市7~12岁儿童膳食模式及其影响因素研究 [J].现代预防医学,2018,(4):609-612.
[14] COVER T M,THOMAS J A.Elements of information theory [M].US:John Wiley & Sons,Inc,2005.
[15] MEYER P E,LAFITTE F,BONTEMPI G.Minet:A R/bioconductor package for inferring large transcriptional networks using mutual information [J].BMC Bioinf,2008,9(1):1-10.
[16] MEYER P E,KONTOS K,LAFITTE F,et al.Information-theoretic inference of large transcriptional regulatory networks [J].Eurasip Bioinf Systems Biol,2007(1):1-9.
[17] XIA Y,ZHAO Z,ZHANG S,et al.Complex dietary topologies in non-alcoholic fatty liver disease:a network science analysis [J].Front Nutr,2020,7:579086.
[18] MIN K,WANG J,LIAO W,et al.Dietary patterns and their associations with overweight/obesity among preschool children in Dongcheng District of Beijing:a cross-sectional study [J].BMC Public Health,2021,21(1):223.
[19] ZHAO R,ZHAO L,GAO X,et al.Geographic variations in dietary patterns and their associations with overweight/obesity and hypertension in China:findings from China nutrition and health surveillance (2015-2017) [J].Nutrients,2022,14(19):38.
[20] 王慧,乌云花.消费者关于乳品的认知、支付意愿及行为的研究进展 [J].中国乳品工业,2017,45(3):47-51.
[21] 张雅蓉,王金子,薛勇,等.我国9地区3~12岁儿童外出就餐和食用快餐相关因素与超重肥胖的调查 [J].中国妇幼保健,2014,29(31):5132-5135.
[22] FORSLUND H B,TORGERSON J S,STRML S J,et al.Snacking frequency in relation to energy intake and food choices in obese men and women compared to a reference population [J].Int J Obes,2005,29(6):711-719.
[23] 王志宏,孙静,王惠君,等.中国居民膳食结构的变迁与营养干预策略发展 [J].营养学报,2019,41(5):427-432.
[24] 张倩.中国学龄儿童营养健康状况及改善措施建议 [J].中国学校卫生,2021,42(3):321-324.
[25] 张倩.中国中小学生营养与健康改善十年回顾与展望 [J].卫生研究,2022,51(5):696-699.
[26] 马婕,李燕.儿童青少年缺铁性贫血的营养干预进展 [J].预防医学情报杂志,2023,39(6):717-722.
[27] 林元杰,徐新茂,李禾婷,等.儿童含糖饮料消费行为与肥胖相关研究进展 [J].现代预防医学,2023,50(20):3712-3718.
[28] 国民营养计划(2017—2030年) [J].营养学报,2017,39(4):315-320.
基本信息:
DOI:10.19813/j.cnki.weishengyanjiu.2024.02.004
中图分类号:R153.2
引用信息:
[1]陈梦雪,赵莉,熊静远,等.中国五地区儿童膳食模式和膳食网络[J].卫生研究,2024,53(02):195-201+208.DOI:10.19813/j.cnki.weishengyanjiu.2024.02.004.
基金信息:
国家重点研发计划(No.2020YFC2006300,2020YFC2006303)
2024-03-20
2024-03-20