Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan.
Division of Sleep Medicine, Department of Neurology, University of Michigan, Ann Arbor, Michigan.
J Clin Sleep Med. 2020 Aug 15;16(8):1321-1330. doi: 10.5664/jcsm.8506.
To evaluate whether dietary patterns are associated with sleep quality in Mexican midlife women.
The study population included 4,467 Mexican women from a longitudinal study of teachers. In 2008, a semiquantitative food frequency questionnaire was administered. Principal components analysis identified 3 dietary patterns: Fruits and Vegetables, Western (meat and processed), and Modern Mexican (tortillas and soda, low in fiber and dairy). Starting in 2012, follow-up questionnaires included the Pittsburgh Sleep Quality Index, which yields a score ranging from 0 to 21 (higher scores = worse quality). Modified Poisson regression analyses examining the association between dietary patterns (categorized into quartiles) and poor sleep quality (score > 5) were conducted, adjusting for socio-demographic and lifestyle confounders and baseline comorbid conditions.
Women were 41.0 ± 7.1 years at baseline, with an average follow-up of 5.5 ± 0.7 years. In fully adjusted models, women in the least-healthy quartile of the Fruits and Vegetables pattern compared with the most were 21% more likely to have poor quality sleep at follow-up (95% confidence interval 1.06, 1.42), while those in the highest quartiles of the Modern Mexican pattern were 23% more likely to have poor quality sleep compared with the lowest quartiles (95% confidence interval 1.06 to 1.43, respectively).
A fruit and vegetable-based dietary pattern was associated with higher sleep quality, while an unhealthier diet pattern was associated with worse sleep quality in midlife women.
评估饮食模式是否与墨西哥中年女性的睡眠质量有关。
研究人群包括来自教师纵向研究的 4467 名墨西哥女性。2008 年,进行了半定量食物频率问卷。主成分分析确定了 3 种饮食模式:水果和蔬菜、西方(肉类和加工食品)和现代墨西哥(玉米饼和苏打水,纤维和奶制品含量低)。从 2012 年开始,随访问卷包括匹兹堡睡眠质量指数,该指数的得分为 0 到 21 分(得分越高表示睡眠质量越差)。进行了修正泊松回归分析,以研究饮食模式(分为四分位数)与睡眠质量差(评分>5)之间的关联,调整了社会人口统计学和生活方式混杂因素以及基线合并症。
女性在基线时年龄为 41.0±7.1 岁,平均随访 5.5±0.7 年。在完全调整的模型中,与最健康的水果和蔬菜模式四分位数相比,处于最不健康四分位数的女性在随访时睡眠质量较差的可能性增加 21%(95%置信区间 1.06,1.42),而处于现代墨西哥模式最高四分位数的女性睡眠质量较差的可能性比最低四分位数增加 23%(95%置信区间分别为 1.06 至 1.43)。
基于水果和蔬菜的饮食模式与较高的睡眠质量相关,而不健康的饮食模式与中年女性的睡眠质量较差相关。