Talegawkar Sameera A, Lancki Nicola, Jin Yichen, Siddique Juned, Gadgil Meghana, Kanaya Alka M, Schneider John A, Van Horn Linda, De Koning Lawrence, Kandula Namratha R
Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 420 E Superior, Rubloff Building 6th Floor, Chicago, IL 60611 USA.
BMC Nutr. 2020 Sep 11;6:40. doi: 10.1186/s40795-020-00368-1. eCollection 2020.
Social and cultural norms, operating through social networks, may influence an individual's dietary choices. We examined correlations between social network characteristics and dietary patterns among South Asians in the United States (U.S.).
Data from the Mediators of Atherosclerosis in South Asians Living in America (MASALA) Social Network study were analyzed among 756 participants (mean age = 59 y standard deviation [SD] = 9 y; 44% women). A culturally adapted, validated food frequency questionnaire was used for dietary assessment. A posteriori dietary patterns using principal component analysis were named 1) animal protein, 2) fried snacks, sweets and high-fat dairy, and 3) fruits, vegetables, nuts and legumes. Social network characteristics were assessed using a standard egocentric approach, where participants (egos) self-reported data on perceived dietary habits of their network members. Partial correlations between social network characteristics and egos' dietary patterns were examined.
The mean social network size of egos was 4.2 (SD = 1.1), with high proportion of network members being family (72%), South Asian ethnicity (89%), and half having daily contact. Animal protein pattern scores were negatively correlated with fruits and cooked vegetables consumption of network. Fried snacks, sweets and high-fat dairy pattern scores were positively correlated with sugar-sweetened beverages, South Asian sweets, fried/fast foods and (clarified butter) consumption of network. Fruits, vegetables, nuts and legumes pattern scores were positively correlated with vegetables, fruits, and brown rice/quinoa consumption of network.
Network member characteristics and their perceived dietary behaviors were correlated with dietary patterns of egos. Dietary intervention studies among South Asians should consider social network characteristics as candidate components for dietary intervention.
通过社交网络发挥作用的社会和文化规范可能会影响个人的饮食选择。我们研究了美国南亚人的社交网络特征与饮食模式之间的相关性。
对“生活在美国的南亚人动脉粥样硬化的中介因素”（MASALA）社交网络研究中的756名参与者（平均年龄 = 59岁，标准差[SD] = 9岁；44%为女性）的数据进行了分析。使用经过文化改编和验证的食物频率问卷进行饮食评估。采用主成分分析的事后饮食模式被命名为：1）动物蛋白，2）油炸零食、甜食和高脂肪乳制品，3）水果、蔬菜、坚果和豆类。使用标准的自我中心方法评估社交网络特征，参与者（自我）自行报告其网络成员的感知饮食习惯数据。研究了社交网络特征与自我饮食模式之间的偏相关性。
自我的平均社交网络规模为4.2（标准差 = 1.1），网络成员中很大一部分是家人（72%），南亚裔（89%），且一半的人与成员有日常联系。动物蛋白模式得分与网络中水果和熟蔬菜的摄入量呈负相关。油炸零食、甜食和高脂肪乳制品模式得分与网络中含糖饮料、南亚甜食、油炸/快餐以及酥油的摄入量呈正相关。水果、蔬菜、坚果和豆类模式得分与网络中蔬菜、水果以及糙米/藜麦的摄入量呈正相关。
网络成员特征及其感知的饮食行为与自我的饮食模式相关。针对南亚人的饮食干预研究应将社交网络特征视为饮食干预的候选组成部分。
