Kieffer Sophie K, Nauman Javaid, Syverud Kari, Selboskar Hege, Lydersen Stian, Ekelund Ulf, Wisløff Ulrik
Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Postboks 8905, 7491 Trondheim, Norway.
Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates.
Lancet Reg Health Eur. 2021 Mar 21;5:100091. doi: 10.1016/j.lanepe.2021.100091. eCollection 2021 Jun.
Personal Activity Intelligence (PAI) is a new metric for physical activity tracking, and is associated with reduced risk of all-cause and cardiovascular mortality. We prospectively investigated whether PAI is associated with lower body weight gain in a healthy population.
We included 85,243 participants (40,037 men and 45,206 women) who participated in at least one of three waves of the Trøndelag Health Study (HUNT1: 1984-86, HUNT2: 1995-97, and HUNT3: 2006-08). We used questionnaires to estimate PAI, and linear mixed models to examine body weight according to PAI levels at three study waves. We also conducted regression analyses to assess separate relationships between change in PAI and the combined changes in PAI and physical activity recommendations, according to body weight from HUNT1 to HUNT3.
Compared with HUNT1, body weight was 8.6 and 6.7 kg higher at HUNT3 for men and women, respectively, but was lower among those with ≥200 PAI at HUNT3. For both sexes, a change from inactive (0 PAI) at HUNT1 to ≥100 weekly PAI-score at HUNT2 and HUNT3, and a ≥100 PAI-score at all three occasions were associated with lower body weight gain, compared with the reference group (0 PAI at all three waves). Importantly, among both sexes, obtaining ≥100 weekly PAI at HUNT1 and HUNT3 was associated with lower body weight gain regardless of adhering to physical activity guidelines.
Adhering to a high PAI over time may be a useful tool to attenuate excessive body weight gain in a population free from cardiovascular disease.
Norwegian Research Council and the Liaison Committee between the Central Norway Regional Health Authority and the Norwegian University of Science and technology.
个人活动智能(PAI)是一种用于身体活动追踪的新指标,与全因死亡率和心血管死亡率降低相关。我们前瞻性地研究了PAI是否与健康人群较低的体重增加有关。
我们纳入了85243名参与者(40037名男性和45206名女性),他们参加了特隆赫姆健康研究的三波调查中的至少一波(HUNT1:1984 - 1986年,HUNT2:1995 - 1997年,HUNT3:2006 - 2008年)。我们使用问卷来估计PAI,并使用线性混合模型根据三次研究调查时的PAI水平来检查体重。我们还进行了回归分析,以评估从HUNT1到HUNT3,PAI的变化以及PAI和身体活动建议的综合变化与体重之间的单独关系。
与HUNT1相比,HUNT3时男性和女性的体重分别高出8.6千克和6.7千克,但在HUNT3时PAI≥200的人群中体重较低。对于男女两性,与参照组(三次调查时PAI均为0)相比,从HUNT1时不活动(PAI为0)转变为HUNT2和HUNT3时每周PAI得分≥100,以及在所有三次调查时PAI得分≥100,均与较低的体重增加相关。重要的是,对于男女两性,无论是否遵循身体活动指南,在HUNT1和HUNT3时每周PAI≥100均与较低的体重增加相关。
长期坚持较高的PAI可能是减轻无心血管疾病人群过度体重增加的有用工具。
挪威研究理事会以及挪威中部地区卫生局与挪威科技大学之间的联络委员会。