Appetite Control and Energy Balance Group, School of Psychology, University of Leeds, Leeds, United Kingdom.
Biomathematics & Statistics Scotland, Aberdeen, United Kingdom.
PLoS One. 2020 Apr 30;15(4):e0232152. doi: 10.1371/journal.pone.0232152. eCollection 2020.
Technological advances in remote monitoring offer new opportunities to quantify body weight patterns in free-living populations. This paper describes body weight fluctuation patterns in response to weekly, holiday (Christmas) and seasonal time periods in a large group of individuals engaged in a weight loss maintenance intervention.
Data was collected as part The NoHoW Project which was a pan-European weight loss maintenance trial. Three eligible groups were defined for weekly, holiday and seasonal analyses, resulting in inclusion of 1,421, 1,062 and 1,242 participants, respectively. Relative weight patterns were modelled on a time series following removal of trends and grouped by gender, country, BMI and age.
Within-week fluctuations of 0.35% were observed, characterised by weekend weight gain and weekday reduction which differed between all groups. Over the Christmas period, weight increased by a mean 1.35% and was not fully compensated for in following months, with some differences between countries observed. Seasonal patterns were primarily characterised by the effect of Christmas weight gain and generally not different between groups.
This evidence may improve current understanding of regular body weight fluctuation patterns and help target future weight management interventions towards periods, and in groups, where weight gain is anticipated.
远程监测技术的进步为量化自由生活人群的体重模式提供了新的机会。本文描述了在一项大型减肥维持干预中，个体对每周、假期（圣诞节）和季节性时间段体重波动的反应模式。
该数据是作为 NoHoW 项目的一部分收集的，该项目是一个泛欧的减肥维持试验。每周、假期和季节性分析分别定义了三个符合条件的组，分别纳入了 1421、1062 和 1242 名参与者。在去除趋势后，根据性别、国家、BMI 和年龄对相对体重模式进行了时间序列建模。
每周的体重波动为 0.35%，表现为周末体重增加和工作日体重减少，所有组之间均存在差异。在圣诞节期间，体重平均增加了 1.35%，在随后的几个月中并没有完全补偿，不同国家之间存在一些差异。季节性模式主要受圣诞节体重增加的影响，并且各组之间通常没有差异。
这一证据可能有助于改善人们对体重波动规律的现有理解，并针对预期体重增加的时期和人群，帮助确定未来的体重管理干预措施。
