University of Agder, Norway.
Scand J Public Health. 2010 Nov;38(5 Suppl):13-8. doi: 10.1177/1403494810378920.
To assess the relationship between number of meals eaten and weight status, and to assess potential confounders of this relationship.
A total of 2870 (participation rate: 85%) 9th and 10th graders (mean age: 15.5 years) at 33 schools completed questionnaires in May 2005. Number of meals was measured with questions asking whether they ate breakfast, lunch, dinner, and supper the day before, giving a scale ranging from zero to four meals/day. Data on gender, height, weight, education plans, intake of fruits and vegetables, consumption of unhealthy snacks, TV/computer time, physical activity level, and dieting were also collected.
The proportions of overweight adolescents related to the number of meals eaten were: 10% (0-1 meals, n = 107), 18% (2 meals, n = 399), 14% (3 meals, n = 925), and 10% (4 meals, n = 1402), p ≤ 0.001. Low education plans, high TV/computer time, low physical activity level, and dieting were all positively associated with both being overweight and not having four meals. Being a boy was positively associated with being overweight but negatively associated with not having four meals. High intake of unhealthy snacks was negatively associated with being overweight, but positively associated with not having four meals. In a logistic regression analysis, adjusting for all variables mentioned, odds ratio for being overweight were 0.8 (95% CI 0.3-1.9), 1.8 (95% CI 1.2-2.7) and 1.6 (95% CI 1.2-2.3), respectively, for eating one or zero, two, and three meals compared to four meals.
Eating four meals/day was significantly negatively related to being overweight, also when controlling for potential confounding factors.
评估进食餐数与体重状况之间的关系,并评估该关系的潜在混杂因素。
共有 2870 名(参与率:85%)9 年级和 10 年级学生(平均年龄:15.5 岁)在 33 所学校于 2005 年 5 月完成了问卷调查。通过询问他们前一天是否吃了早餐、午餐、晚餐和晚餐来测量进食餐数,给出一个范围从 0 到 4 餐/天的量表。还收集了性别、身高、体重、教育计划、水果和蔬菜摄入量、不健康零食消费、电视/电脑时间、身体活动水平和节食的数据。
与进食餐数相关的超重青少年比例分别为:10%(0-1 餐,n=107)、18%(2 餐,n=399)、14%(3 餐,n=925)和 10%(4 餐,n=1402),p≤0.001。低教育计划、高电视/电脑时间、低身体活动水平和节食均与超重和未进食四餐呈正相关。男孩与超重呈正相关,与未进食四餐呈负相关。高不健康零食摄入量与超重呈负相关,但与未进食四餐呈正相关。在调整所有提及的变量的逻辑回归分析中,与进食四餐相比,进食一到零餐、两餐和三餐的超重比值分别为 0.8(95%CI 0.3-1.9)、1.8(95%CI 1.2-2.7)和 1.6(95%CI 1.2-2.3)。
每天进食四餐与超重显著负相关,即使在控制潜在混杂因素后也是如此。