Evidence map›Paper›PMID 32560967›Full record

Observational studyProgress in cardiovascular diseases

Personal activity intelligence and mortality - Data from the Aerobics Center Longitudinal Study.

Javaid Nauman, Xuemei Sui, Carl J Lavie, Chi Pang Wen, Jari A Laukkanen, Steven N Blair, Patrick Dunn, Ross Arena, Ulrik Wisløff

Open access · hybridAbstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Progress in cardiovascular diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 6 countries.

Javaid NaumanDepartment of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway; Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates; Healthy Living for Pandemic Event Protection (HL - PIVOT) Network, Chicago, IL, USA. Electronic address: javaid.nauman@uaeu.ac.ae.
Xuemei SuiDepartment of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Carl J LavieHealthy Living for Pandemic Event Protection (HL - PIVOT) Network, Chicago, IL, USA; Department of Cardiovascular Diseases, John Ochsner Heart and Vascular Institute, Ochsner Clinical School, University of Queensland School of Medicine, New Orleans, LA, USA.
Chi Pang WenInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan; Graduate Institute of Biomedical Sciences, College of Medicine, China Medical University, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.
Jari A LaukkanenHealthy Living for Pandemic Event Protection (HL - PIVOT) Network, Chicago, IL, USA; Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland; Department of Medicine, Central Finland Health Care District, Jyväskylä, Finland.
Steven N BlairDepartment of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Patrick DunnAmerican Heart Association, Dallas, TX, USA; Walden University, Minneapolis, MN, USA.
Ross ArenaHealthy Living for Pandemic Event Protection (HL - PIVOT) Network, Chicago, IL, USA; Department of Physical Therapy, College of Applied Sciences, University of Illinois at Chicago, Chicago, IL, USA.
Ulrik WisløffDepartment of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway; Healthy Living for Pandemic Event Protection (HL - PIVOT) Network, Chicago, IL, USA; School of Human Movement & Nutrition Sciences, University of Queensland, Australia.
Health Net · USUniversity of South Carolina · USAmerican Heart Association · USCentral Finland Health Care District · FIChina Medical University · TWUniversity of Illinois Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importancePersonal activity intelligence (PAI) is a novel activity metric that can be integrated into self-assessment heart rate devices, and translates heart rate variations during exercise into a weekly score. Previous studies relating to PAI have been conducted in the same populations from Norway where the PAI metric has been derived, limiting generalizability of the results.

objectiveTo test whether PAI is associated with total and cause-specific mortality in a large cohort from the United States.

designAerobics Center Longitudinal Study (ACLS) - a prospective cohort between January 1974 and December 2002 with a mean follow-up of 14.5 years.

settingPopulation-based.

participants56,175 relatively healthy participants (26.5% women) who underwent extensive preventive medical examinations at Cooper Clinic (Dallas, TX). EXPOSURE: Personal activity intelligence (PAI) score per week was estimated and divided into 4 groups (PAI scores of 0, ≤50, 51-99, and ≥100). MAIN OUTCOMES AND MEASURES: Total and cause-specific mortality.

resultsDuring a median follow-up time of 14.9 (interquartile range, 6.7-21.4) years, there were 3434 total deaths including 1258 cardiovascular (CVD) deaths. Compared with the inactive (0 PAI) group, participants with a baseline weekly ≥100 PAI had lower risk of mortality: adjusted hazard ratio (AHR), 0.79: 95% CI, 0.71-0.87 for all-cause mortality, and AHR, 0.72: 95% CI, 0.60-0.87 for CVD mortality among men; AHR, 0.85: 95% CI, 0.64-1.12 for all-cause mortality, and AHR, 0.48: 95% CI, 0.26-0.91 for CVD mortality among women. For deaths from ischemic heart disease (IHD), PAI score ≥100 was associated with lower risk in both men and women (AHR, 0.70: 95% CI, 0.55-0.88). Obtaining ≥100 weekly PAI was also associated with significantly lower risk of CVD mortality in pre-specified age groups, and in participants with known CVD risk factors. Participants with ≥100 weekly PAI gained 4.2 (95% CI, 3.5-4.6) years of life when compared with those who were inactive at baseline. CONCLUSIONS AND RELEVANCE: PAI is associated with long-term all-cause, CVD, and IHD, mortality. Clinicians and the general population can incorporate PAI recommendations and thresholds in their physical activity prescriptions and weekly physical activity assessments, respectively, to maximize health outcomes. KEY POINTS: Question: What is the association between personal activity intelligence (PAI), a novel activity metric, and mortality in a large cohort from the United States?

findingsIn this prospective study of 56,175 healthy participants at baseline, followed-up for a mean of 14.5 years, ≥100 PAI score/week was associated with significant 21% lower risk of all-cause and 30% lower risk of CVD mortality in comparison with inactive people. Participants with ≥100 PAI/week lived on average 4.2 years longer compared with inactive. Meaning: PAI is associated with long-term all-cause and CVD mortality. Clinicians and general population may incorporate PAI recommendations into weekly physical activity assessments to maximize CVD prevention.

Indexed as

Activities of Daily LivingAdultCardiovascular DiseasesExerciseFemaleFollow-Up StudiesHealthy VolunteersHumansMaleMiddle AgedNorwayProspective StudiesSurvival RateActivity metricCardiovascular diseaseExerciseMortalityPhysical activity

Identifiers

PMID32560967
OpenAlexW3034428302

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.