1Institute and Department of Public Health,School of Medicine,National Yang-Ming University,No. 155,Sec. 2,Linong Street,Medical Building II,R213,Beitou District,Taipei 112,Taiwan,Republic of China.
2Institute of Biomedical Sciences,Academia Sinica,Taipei,Taiwan,Republic of China.
Public Health Nutr. 2017 Dec;20(18):3295-3303. doi: 10.1017/S1368980017002476. Epub 2017 Sep 21.
To (i) identify the major temporal patterns of energy intake among adults; (ii) examine the association between employment status and the patterns; and (iii) examine the association between dietary quality and the patterns.
Secondary analysis based on the cross-sectional population-based nutrition survey in Taiwan, 2005-2008. Based on energy intake levels at six time intervals of a day derived from 24 h recall data, we applied cluster analysis to identify major temporal patterns of energy intake. Self-reported employment status was categorized into six groups: full-time, part-time, no job, student, homemaker and retired. Multinomial logistic regression models were fitted to test the association between temporal patterns of energy intake and employment groups.
Non-institutionalized community dwellers.
Non-pregnant adults (≥19 years old) with total energy intake between 2092 and 20920 kJ/d (500 and 5000 kcal/d; n 4508).
Five major patterns were identified, which can be seen as the traditional meal pattern and its variants. About 20 % of adults had the traditional pattern. The most prevalent pattern was the delayed morning meal pattern (33 %), which had lower Ca and P intakes than the traditional pattern. About 14 % of adults had the delayed lunchtime pattern, which had lower protein, PUFA, fibre, Ca, P, vitamin D and vitamin E intakes than the traditional. Adjusted prevalence of the delayed lunchtime pattern was highest among full-time students (34 %), followed by part-time workers (24 %), and was lower in retired (8 %), homemakers (11 %) and full-time employed adults (12 %).
Adults' temporal patterns of energy intake, which varied with their employment status, affected their dietary quality.
(i)确定成年人能量摄入的主要时间模式;(ii)研究就业状况与模式之间的关系;(iii)研究膳食质量与模式之间的关系。
基于台湾 2005-2008 年的横断面人群营养调查的二次分析。根据 24 小时回忆数据得出的六个时间间隔的能量摄入水平,我们应用聚类分析来确定能量摄入的主要时间模式。自我报告的就业状况分为六组:全职、兼职、无工作、学生、家庭主妇和退休。采用多项逻辑回归模型检验能量摄入的时间模式与就业群体之间的关系。
非机构化社区居民。
总能量摄入在 2092 至 20920kJ/d(500 至 5000kcal/d;n=4508)之间的非孕妇成年人(≥19 岁)。
共确定了五种主要模式,可视为传统的用餐模式及其变体。约有 20%的成年人具有传统模式。最常见的模式是早餐延迟模式(33%),其钙和磷的摄入量低于传统模式。约有 14%的成年人有延迟午餐时间模式,其蛋白质、PUFA、纤维、钙、磷、维生素 D 和维生素 E 的摄入量低于传统模式。全职学生(34%)的调整后延迟午餐时间模式的流行率最高,其次是兼职工人(24%),退休(8%)、家庭主妇(11%)和全职就业成年人(12%)较低。
成年人的能量摄入时间模式因就业状况而异,影响了他们的膳食质量。