Literature DB >> 30227185

Temporal Changes in a Novel Metric of Physical Activity Tracking (Personal Activity Intelligence) and Mortality: The HUNT Study, Norway.

Sophie K Kieffer1, Ilaria Croci2, Ulrik Wisløff2, Javaid Nauman3.   

Abstract

BACKGROUND: Personal Activity Intelligence (PAI) is a novel activity metric that translates heart rate variations during exercise into a weekly score. Weekly PAI scores assessed at a single point in time were found to associate with lower risk of premature cardiovascular disease (CVD) mortality in the general healthy population. However, to date, the associations between long-term longitudinal changes in weekly PAI scores and mortality have not been explored.
PURPOSE: The aim of the present study was to prospectively examine the association between change in weekly PAI scores estimated 10 years apart, and risk of mortality from CVD and all-causes.
METHODS: We performed a prospective cohort study of 11,870 men and 13,010 women without known CVD in Norway. By using data from the Nord-Trøndelag Health Study (HUNT), PAI was estimated twice, ten years apart (HUNT1 1984-86 and HUNT2 1995-97). Mortality was followed-up until December 31, 2015. Adjusted hazard ratios (AHR) and 95% confidence intervals (CI) for death from CVD and all-causes related to temporal changes in PAI were estimated using Cox regression analyses.
RESULTS: During a mean (SD) of 18 (4) years of follow-up, there were 4782 deaths, including 1560 deaths caused by CVD. Multi-adjusted analyses demonstrated that participants achieving a score of ≥100 PAI at both time points had 32% lower risk of CVD mortality (AHR 0.68; CI: 0.54-0.86) for CVD mortality and 20% lower risk of all-cause mortality (AHR 0.80; CI: 71-0.91) compared with participants obtaining <100 weekly PAI at both measurements. For participants having <100 PAI in HUNT1 but ≥100 PAI in HUNT2, the AHRs were 0.87 (CI: 0.74-1.03) for CVD mortality, and 0.86 (CI: 0.79-0.95) for all-cause mortality. We also found an inverse linear relationship between change in PAI and risk of CVD mortality among participants with 0 PAI (P < 0.01), and ≤50 PAI (P = 0.04) in HUNT1, indicating that an increase in PAI over time is associated with lower risk of mortality. Excluding the first three years of follow-up did not substantially alter the findings. Increasing PAI score from <100 PAI in HUNT1 to ≥100 PAI in HUNT2 was associated with 6.6 years gained lifespan.
CONCLUSION: Among men and women without known CVD, an increase in PAI score and sustained high PAI score over a 10-year period was associated with lower risk of mortality.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Activity tracking; Cardiovascular disease mortality; Physical activity promotion; Prevention

Mesh:

Year:  2018        PMID: 30227185     DOI: 10.1016/j.pcad.2018.09.002

Source DB:  PubMed          Journal:  Prog Cardiovasc Dis        ISSN: 0033-0620            Impact factor:   8.194


  5 in total

1.  Association of level of leisure-time physical activity with risks of all-cause mortality and cardiovascular disease in an elderly Chinese population: a prospective cohort study.

Authors:  Hao Zhao; Xue-Ning Zhang; Zhan Shi; Ling Yin; Wen-Li Zhang; Kun He; Hu-Qi Xue; Xiao-Yan Zhao; Song-He Shi
Journal:  J Geriatr Cardiol       Date:  2020-10-28       Impact factor: 3.327

2.  Changes in the Frequency of Moderate-to-Vigorous Physical Activity and Subsequent Risk of All-Cause and Cardiovascular Disease Mortality.

Authors:  Young Choi; Jae Woo Choi
Journal:  Int J Environ Res Public Health       Date:  2022-01-03       Impact factor: 3.390

3.  Association between Personal Activity Intelligence (PAI) and body weight in a population free from cardiovascular disease - The HUNT study.

Authors:  Sophie K Kieffer; Javaid Nauman; Kari Syverud; Hege Selboskar; Stian Lydersen; Ulf Ekelund; Ulrik Wisløff
Journal:  Lancet Reg Health Eur       Date:  2021-03-21

4.  Temporal changes in personal activity intelligence and the risk of incident dementia and dementia related mortality: A prospective cohort study (HUNT).

Authors:  Atefe R Tari; Geir Selbæk; Barry A Franklin; Sverre Bergh; Håvard Skjellegrind; Robert E Sallis; Ingunn Bosnes; Eystein Stordal; Maryam Ziaei; Stian Lydersen; Asgeir Kobro-Flatmoen; Aleksi M Huuha; Javaid Nauman; Ulrik Wisløff
Journal:  EClinicalMedicine       Date:  2022-08-18

5.  Cardiovascular Health Effects of Shift Work with Long Working Hours and Night Shifts: Study Protocol for a Three-Year Prospective Follow-Up Study on Industrial Workers.

Authors:  Lars-Kristian Lunde; Øivind Skare; Asgeir Mamen; Per Anton Sirnes; Hans C D Aass; Reidun Øvstebø; Elisabeth Goffeng; Dagfinn Matre; Pia Nielsen; Hanne Siri Amdahl Heglum; Stine Eriksen Hammer; Marit Skogstad
Journal:  Int J Environ Res Public Health       Date:  2020-01-16       Impact factor: 3.390

  5 in total

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