Center for Evaluation and Surveys Research, National Institute of Public Health, Av. Universidad 655, Santa Maria Ahuacatitlán, Cuernavaca, Morelos 62100, Mexico.
Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico.
J Nutr Sci. 2021 May 11;10:e34. doi: 10.1017/jns.2021.24. eCollection 2021.
Given the high prevalence of multiple non-communicable chronic diseases in Mexico, the aim of the present study was to assess the association between dietary patterns and sleep disorders in a national representative sample of 5076 Mexican adults (20-59 years) from the 2016 National Health and Nutrition Survey. Through a cross-sectional study, we used the Berlin sleep symptoms questionnaire to estimate the proportion of adults with insomnia, obstructive sleep apnoea (OSA) and other related problems such as daytime symptoms and inadequate sleep duration. Dietary data were collected through a seven-day semi-quantitative food frequency questionnaire, and dietary patterns were determined through cluster analysis. Associations between dietary patterns and sleep disorders were assessed by multivariate logistic regression models adjusted for age, sex, well-being, rural/urban area type, geographical region, tobacco use, physical activity level and energy intake. Three dietary patterns were identified: traditional (high in legumes and tortilla), industrialised (high in sugar-sweetened beverages, fast foods, and alcohol, coffee or tea) and mixed (high in meat, poultry, fruits and vegetables). Multivariate logistic regression showed that the industrialised pattern yielded higher odds for daytime symptoms (OR 1⋅49; 95 % CI 1⋅12, 1⋅99) and OSA (OR 1⋅63; 95 % CI 1⋅21, 2⋅19) compared with the traditional pattern. In conclusion, dietary patterns are associated with sleep disorders in Mexican adults. Further research is required to break the vicious cycle of poor-quality diet, sleep symptoms and health.
鉴于墨西哥多种非传染性慢性疾病的高发率,本研究旨在评估饮食模式与睡眠障碍之间的关系。研究对象为墨西哥全国代表性样本中的 5076 名成年人(20-59 岁),这些成年人来自于 2016 年全国健康和营养调查。通过横断面研究,我们使用柏林睡眠症状问卷来评估成年人中失眠、阻塞性睡眠呼吸暂停(OSA)和其他相关问题(如日间症状和睡眠时间不足)的比例。饮食数据通过七天半定量食物频率问卷收集,通过聚类分析确定饮食模式。通过多变量逻辑回归模型,在调整年龄、性别、幸福感、城乡地区类型、地理区域、吸烟、身体活动水平和能量摄入等因素后,评估饮食模式与睡眠障碍之间的关联。确定了三种饮食模式:传统模式(豆类和玉米饼含量高)、工业化模式(含糖饮料、快餐和酒精、咖啡或茶含量高)和混合模式(肉类、家禽、水果和蔬菜含量高)。多变量逻辑回归显示,与传统模式相比,工业化模式与日间症状(OR 1.49;95%CI 1.12,1.99)和 OSA(OR 1.63;95%CI 1.21,2.19)的发生几率更高。总之,饮食模式与墨西哥成年人的睡眠障碍有关。需要进一步研究来打破不良饮食、睡眠症状和健康之间的恶性循环。