Noll Matias, Rodrigues Ana Paula Santos, Silveira Erika Aparecida
Instituto Federal Goiano - Campus Ceres, Ceres, Brazil.
2Programa de Pós-Graduação em Ciências da Saúde, Faculdade de Medicina, Universidade Federal de Goiás, Goiânia, Brazil.
Arch Public Health. 2020 Mar 12;78:9. doi: 10.1186/s13690-020-0396-3. eCollection 2020.
Athletes put their health at short- and long-term risk and a detailed investigation of health outcomes is important because it should allow the development of more specific interventions. This study aimed to evaluate the health-related determinants of eating pattern of high school athletes.
The study enrolled 248 Brazilian athletes aged 14-20 years. Eating pattern outcomes included skipping breakfast, vegetable and fruit consumption, and sweets consumption. The following factors were considered as independent variables: sociodemographic, economic, anthropometry, body weight control, psychosocial, sedentary behavior, sleeping time, meals, alcohol and smoking, and strength variables. Data were analyzed using Poisson regression model and the effect measure was the prevalence ratio (PR).
The results showed that 45.6% of the athletes skipped breakfast, 29.8% ate sweets regularly, and only 8.9% consumed vegetables and fruit regularly. Multiple analysis revealed the following positive associations: breakfast skipping and vomiting or using laxatives to lose weight (PR, 1.12; 95% CI, 1.01-1.26); low fruit and vegetable consumption and using pills to lose weight (PR, 1.05; 95% CI, 1.02-1.07); high sweets consumption and female athletes (PR, 1.32; 95% CI, 1.12-1.55); high sweets consumption and more than 2 h spent watching TV (PR, 1.19; 95% CI, 1.02-1.39).
Our findings indicated that sociodemographic, body weight control and sedentary factors are determinants on eating patterns of high school athletes.
运动员的健康面临短期和长期风险,对健康结果进行详细调查很重要,因为这有助于制定更具针对性的干预措施。本研究旨在评估高中运动员饮食模式的健康相关决定因素。
该研究招募了248名年龄在14至20岁之间的巴西运动员。饮食模式结果包括不吃早餐、蔬菜和水果摄入量以及甜食摄入量。以下因素被视为自变量:社会人口统计学、经济、人体测量学、体重控制、心理社会、久坐行为、睡眠时间、饮食、饮酒和吸烟以及力量变量。使用泊松回归模型分析数据,效应量为患病率比(PR)。
结果显示,45.6%的运动员不吃早餐,29.8%的运动员经常吃甜食,只有8.9%的运动员经常食用蔬菜和水果。多因素分析显示了以下正相关关系:不吃早餐与呕吐或使用泻药减肥(PR,1.12;95%CI,1.01 - 1.26);低蔬菜和水果摄入量与使用减肥药(PR,1.05;95%CI,1.02 - 1.07);高甜食摄入量与女性运动员(PR,1.32;95%CI,1.12 - 1.55);高甜食摄入量与看电视超过2小时(PR,1.19;95%CI,1.02 - 1.39)。
我们的研究结果表明,社会人口统计学、体重控制和久坐因素是高中运动员饮食模式的决定因素。