Turicchi Jake, O'Driscoll Ruairi, Horgan Graham, Duarte Cristiana, Santos Inês, Encantado Jorge, Palmeira Antonio L, Larsen Sofus C, Olsen Jack K, Heitmann Berit L, Stubbs R James
Appetite Control and Energy Balance Group, School of Psychology, University of Leeds, Leeds, UK.
Biomathematics & Statistics Scotland, Aberdeen, UK.
Int J Cardiol Hypertens. 2020 Aug 2;6:100045. doi: 10.1016/j.ijchy.2020.100045. eCollection 2020 Sep.
Weight loss is known to improve health, however the influence of variability in body weight around the overall trajectory on these outcomes is unknown. Few studies have measured body weight frequently enough to accurately estimate the variability component.
To investigate the association of 12-month weight variability and concurrent weight change with changes in health markers and body composition.
This study was a secondary analysis of the NoHoW trial, a 2 × 2 factorial randomised controlled trial promoting evidence-based behaviour change for weight loss maintenance. Outcome measurements related to cardiometabolic health and body composition were taken at 0, 6 and 12 months. Participants were provided with Wi-Fi connected smart scales (Fitbit Aria 2) and asked to self-weigh regularly over this period. Associations of weight variability and weight change with change in outcomes were investigated using multiple linear regression with multiple levels of adjustment in 955 participants.
Twelve models were generated for each health marker. Associations between weight variability and changes in health markers were inconsistent between models and showed no evidence of a consistent relationship, with all effects explaining <1% of the outcome, and most 0%. Weight loss was consistently associated with improvements in health and body composition, with the greatest effects seen in percent body fat (R = 10.4-11.1%) followed by changes in diastolic (4.2-4.7%) and systolic (3-4%) blood pressure.
Over 12-months, weight variability was not consistently associated with any measure of cardiometabolic health or body composition, however weight loss consistently improved all outcomes.
ISRCTN88405328.
众所周知，体重减轻有益健康，但总体体重轨迹周围的体重变化对这些结果的影响尚不清楚。很少有研究能足够频繁地测量体重以准确估计变化因素。
研究12个月体重变化及同期体重变化与健康指标和身体成分变化之间的关联。
本研究是对NoHoW试验的二次分析，该试验是一项2×2析因随机对照试验，旨在促进基于证据的行为改变以维持体重减轻。在0、6和12个月时进行了与心脏代谢健康和身体成分相关的结果测量。为参与者提供了连接Wi-Fi的智能秤（Fitbit Aria 2），并要求他们在此期间定期自行称重。在955名参与者中，使用多水平调整的多元线性回归研究了体重变化和体重变化与结果变化之间的关联。
为每个健康指标生成了12个模型。体重变化与健康指标变化之间的关联在各模型之间不一致，没有显示出一致关系的证据，所有效应解释的结果均<1%，大多数为0%。体重减轻与健康和身体成分的改善始终相关，其中体脂百分比的改善最为显著（R = 10.4 - 11.1%），其次是舒张压（4.2 - 4.7%）和收缩压（3 - 4%）的变化。
在12个月期间，体重变化与任何心脏代谢健康或身体成分指标均无一致关联，但体重减轻始终能改善所有结果。
ISRCTN88405328。
