Chae Myung-Ock, Park Mi-Young
Department of Nursing, College of Health and Medical Sciences, Cheongju University, Cheongju, Republic of Korea.
Institute of Health and Environment, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
Iran J Public Health. 2022 Dec;51(12):2742-2752. doi: 10.18502/ijph.v51i12.11465.
There is a substantial gap in the eating behaviors between the sexes. We aimed to analyze the predictors of eating behaviors by sex in the young adult population.
We used the data of the sixth and seventh Korea National Health and Nutrition Examination Survey conducted by the Korea Disease Control and Prevention Agency last 2013-2018. Data from 2,502 women and 2,101 men aged 19-29 yr were included in the analysis using frequency, percentage, -test, and multiple logistic regression.
Education (0.612, CI=0.465∼0.805), economic status (2.104, CI=1.435-3.086), marital status (3.162, CI=2.356∼4.243), and household structure (0.403, CI=0.208∼0.782) were identified to predict the frequency of dining-out in women, while marital status (0.302, CI=0.121∼0.749), economic activity (1.969, CI=1.483∼2.613), and household structure (0.243, CI=0.137∼0.432) predicted dining-out frequency in men. The current smoking status predicted most eating behaviors, including breakfast skipping frequency (1.864, CI=1.318∼2.637), use of supplements (2.062, CI=1.439∼2.953), and use of nutrition labels (1.545, 1.084∼2.204) for men. Meanwhile, nutrition labeling was used less in both men (0.550, CI=0.343∼0.882) and women (0.646, CI=0.473∼0.882) who subjective body recognition as obesity.
The factors that primarily predicted the frequency of dining out in young women and the behavior of breakfast skipping, use of nutrition labels, and frequency of dining-out in men can be used as foundational data for developing sex-specific intervention programs to improve eating behaviors.
两性之间的饮食行为存在显著差异。我们旨在分析年轻成年人群中按性别划分的饮食行为预测因素。
我们使用了韩国疾病控制与预防机构在2013 - 2018年进行的第六次和第七次韩国国家健康与营养检查调查的数据。对年龄在19 - 29岁的2502名女性和2101名男性的数据进行分析,采用频率、百分比、t检验和多元逻辑回归。
教育程度(0.612,CI = 0.465∼0.805)、经济状况(2.104,CI = 1.435 - 3.086)、婚姻状况(3.162,CI = 2.356∼4.243)和家庭结构(0.403,CI = 0.208∼0.782)被确定为女性外出就餐频率的预测因素,而婚姻状况(0.302,CI = 0.121∼0.749)、经济活动(1.969,CI = 1.483∼2.613)和家庭结构(0.243,CI = 0.137∼0.432)预测男性的外出就餐频率。当前吸烟状况预测了大多数饮食行为,包括男性不吃早餐的频率(1.864,CI = 1.318∼2.637)、补充剂的使用(2.062,CI = 1.439∼2.953)以及营养标签的使用(1.545,1.084∼2.204)。同时,自我主观认为肥胖的男性(0.550,CI = 0.343∼0.882)和女性(0.646,CI = 0.473∼0.882)使用营养标签的频率较低。
主要预测年轻女性外出就餐频率以及男性不吃早餐行为、营养标签使用和外出就餐频率的因素,可作为制定针对性别差异的干预计划以改善饮食行为的基础数据。