Relationship between intra-individual variability in nutrition-related lifestyle behaviors and blood glucose outcomes under free-living conditions in adults without type 2 diabetes
Relationship between intra-individual variability in nutrition-related lifestyle behaviors and blood glucose outcomes under free-living conditions in adults without type 2 diabetes
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DOI：
10.1016/j.diabres.2022.110231
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发表时间：
2023-01-04
影响因子：
5.1
通讯作者：
Hatamoto，Yoichi
中科院分区：
文献类型：
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作者：
Yoshimura，Eiichi;Hamada，Yuka;Hatamoto，Yoichi
目的：本研究确定无2型糖尿病成人在自由生活条件下，日常营养相关生活方式行为（用餐时间、进食窗口、食物摄入、运动行为、睡眠状况和体重）的个体差异与血糖结局之间的关系。方法对104例无2型糖尿病的成年人进行分析。在7天的测量期内，评估了饮食摄入量、运动行为、睡眠状况和血糖结果。使用基于移动的健康应用程序评估每日食物摄入量。使用三轴加速度计评估运动行为和睡眠状况。进餐时间根据参与者的日常生活记录进行评估。使用血糖监测仪连续测量血糖水平。采用线性混合效应模型进行统计分析，用餐时间、食物摄入量、体重、运动行为和睡眠状况为固定效应，参与者为随机效应。结果用餐时间和用餐窗口与平均血糖水平（用餐时间，p = 0.003；用餐窗口，p = 0.001）、标准差（SD，均p < 0.001）和最高血糖水平（均p < 0.001）呈正相关。早餐时间与血糖结果呈负相关（p < 0.01）。久坐时间与血糖SD呈正相关（p = 0.040）。总睡眠时间与SD （p = 0.035）和最大血糖水平（p = 0.032）呈显著负相关。每日总能量摄入（p = 0.001）、碳水化合物摄入（p < 0.001）和体重（p < 0.05）与平均血糖水平呈正相关。结论营养相关生活方式行为的个体差异，尤其是早晚体重和食物摄入与平均血糖水平相关，久坐时间和总睡眠时间与血糖变异性相关。每天更早的晚餐时间和更短的进食时间可以更好地控制血糖。
AimsThis study determined the relationship between intra-individual variability in day-to-day nutrition-related lifestyle behaviors (meal timing, eating window, food intake, movement behaviors, sleep conditions, and body weight) and glycemic outcomes under free-living conditions in adults without type 2 diabetes.MethodsWe analyzed 104 adults without type 2 diabetes. During the 7-day measurement period, dietary intake, movement behaviors, sleep conditions, and glucose outcomes were assessed. Daily food intake was assessed using a mobile-based health application. Movement behaviors and sleep conditions were assessed using a tri-axial accelerometer. Meal timing was assessed from the participant’s daily life record. Blood glucose levels were measured continuously using a glucose monitor. Statistical analyses were conducted using a linear mixed-effects model, with mealtime, food intake, body weight, movement behaviors, and sleep conditions as fixed effects and participants as a random effect.ResultsDinner time and eating window were positively significantly correlated with mean (dinner time, p = 0.003; eating window, p = 0.001), standard deviation (SD; both at p < 0.001), and maximum (both at p < 0.001) blood glucose levels. Breakfast time was negatively associated with glucose outcomes (p < 0.01). Sedentary time was positively significantly associated with blood glucose SD (p = 0.040). Total sleep time was negatively significantly correlated with SD (p = 0.035) and maximum (p = 0.032) blood glucose levels. Total daily energy intake (p = 0.001), carbohydrate intake (p < 0.001), and body weight (p < 0.05) were positively associated with mean blood glucose levels.ConclusionIntra-individual variations in nutrition-related lifestyle behaviors, especially morning and evening body weight, and food intake, were associated with mean blood glucose levels, and a long sedentary time and total sleep time were associated with glucose variability. Earlier dinner times and shorter eating windows per day resulted in better glucose control.