Characterising Diurnal and Irregularity Eating Patterns and Their Relationship with Obesity in the Italian Population in the INRAN-SCAI 2005–2006 Nutrition Survey

Luigi Palla, Laura Lopez Sanchez
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Abstract

: Background and Objectives: Late food intake has been linked to weight gain while early meals have been associated with weight loss and maintenance. However, the impact of temporal (diurnal) eating patterns summarising the time of food intake throughout the day and the eating time irregularity across surveyed days has been less investigated. INRAN-SCAI is a cross-sectional nutrition survey conducted in 2005–2006 in a representative sample of the Italian population, collecting diet diaries over 3 days, including a questionnaire with socio-demographic and anthropometric variables. We aimed to characterise diurnal and irregularity eating patterns (DIEPs) and investigate their association with BMI/obesity in Italian adults (18–64 ys). Methods: We derived the DIEPs by Principal Component Analysis (with covariance matrix) jointly on indices of average and irregularity of energy intake using the reduced six time intervals corresponding to common eating time slots in Italy. The first five DIEPs explained 93% of the total variance, with the first DIEP score increasing with energy intake at main meals. A mixed-effect model with random intercept accounting for the correlation within household (ICC) was applied including only adults (complete case analysis n = 2022), with BMI as outcome, the main DIEPs as exposures and a set of confounders identified by a causal diagram. Results: The model resulted in a positive association of BMI with the first DEP (b = 0.75 per 100% score, p = 0.009; ICC = 0.195, p < 0.0001). A positive significant association also resulted between BMI and the third DIEP (10% variance) whose score increased with energy intake at snack times outside main meals (b = 0.89 per 100% score, p = 0.013) and with the fifth DIEP (6.4% variance), which mainly captured food intake at night and irregularity of intake at night (b = 0.34 per 100% score, p = 0.028). Discussion: Despite the limitations of a cross-sectional design, this study indicates that in the Italian adult population BMI tended to increase not only with large energy intake at main meals and at snack times but also with energy intake and irregularity of intake at night. This is in line with recent findings in the British population, indicating the relevance of surveying and modifying DIEPs, beside average daily intake, for obesity management.
2005-2006 年 INRAN-SCAI 营养调查中意大利人口昼夜饮食模式和不规律饮食模式的特点及其与肥胖的关系
:背景和目的:晚进食与体重增加有关,而早进食与体重减轻和维持体重有关。然而,关于时间性(昼夜)进食模式的影响(即全天摄入食物的时间和调查日进食时间的不规律性)的调查却较少。INRAN-SCAI 是一项横断面营养调查,于 2005-2006 年在具有代表性的意大利人口样本中进行,收集了 3 天的饮食日记,包括一份包含社会人口和人体测量变量的问卷。我们的目的是描述意大利成年人(18-64 岁)的昼夜饮食模式和不规律饮食模式 (DIEP),并研究它们与体重指数/肥胖的关系。方法:我们通过主成分分析法(带协方差矩阵),利用与意大利常见进食时间段相对应的缩减后的六个时间段,对能量摄入的平均性和不规律性指数进行联合分析,得出了 DIEPs。前五个 DIEP 解释了总方差的 93%,第一个 DIEP 分数随正餐能量摄入量的增加而增加。采用随机截距混合效应模型(ICC)计算家庭内的相关性,该模型仅包括成年人(完整病例分析 n = 2022),以体重指数(BMI)作为结果,主要 DIEPs 作为暴露因子,并通过因果图确定一组混杂因素。结果模型结果显示,体重指数与第一个 DEP 呈正相关(b = 0.75 per 100% score,p = 0.009;ICC = 0.195,p < 0.0001)。此外,体重指数与第三项 DIEP(10% 变异)和第五项 DIEP(6.4% 变异)之间也存在明显的正相关关系,前者的得分随着正餐以外点心时间能量摄入的增加而增加(b = 0.89/100%,p = 0.013),后者主要反映夜间食物摄入量和夜间摄入量的不规律性(b = 0.34/100%,p = 0.028)。讨论尽管横断面设计存在局限性,但本研究表明,在意大利成年人群中,体重指数不仅随着正餐和点心时间的大量能量摄入而增加,而且随着夜间能量摄入和摄入不规律而增加。这与最近在英国人群中的研究结果一致,表明除了每日平均摄入量外,调查和修改 DIEPs 对肥胖管理也很重要。
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