Evidence map›Paper›PMID 34261992›Full record

ArticleMedicine and science in sports and exercise2021

Tracking and Changes in Daily Step Counts among Finnish Adults.

Xiaolin Yang, Janne Kulmala, Harto Hakonen, Mirja Hirvensalo, Suvi P Rovio, Katja Pahkala, Tuomas Kukko, Nina Hutri-Kähönen, Olli T Raitakari, Tuija H Tammelin

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Article in Medicine and science in sports and exercise, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Xiaolin YangLIKES Research Centre for Physical Activity and Health, Jyväskylä, FINLAND.
Janne KulmalaLIKES Research Centre for Physical Activity and Health, Jyväskylä, FINLAND.
Harto HakonenLIKES Research Centre for Physical Activity and Health, Jyväskylä, FINLAND.
Mirja HirvensaloFaculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND.
Suvi P Rovio
Katja Pahkala
Tuomas KukkoLIKES Research Centre for Physical Activity and Health, Jyväskylä, FINLAND.
Nina Hutri-KähönenDepartment of Pediatrics, University of Tampere and Tampere University of Hospital, Tampere, FINLAND.
Olli T Raitakari
Tuija H TammelinLIKES Research Centre for Physical Activity and Health, Jyväskylä, FINLAND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to investigate the tracking and changes of steps per day in adults and their determinants over 13 yr.

methodsA total of 2195 subjects (1236 women) 30-45 yr of age were randomly recruited from the ongoing Cardiovascular Risk in Young Finns Study in 2007 and were followed up in 2020. Steps per day, including both total and aerobic steps per day, were monitored for seven consecutive days with a pedometer in 2007-2008 and 2011-2012 and with an accelerometer in 2018-2020. Tracking was analyzed using Spearman's correlation. Stability and changes of steps per day over time in both low-active and high-active groups (based on median values) were described by percentage agreements, kappa statistics, and logistic regression. Associations of sex, age, and body mass index with the initial number and changes in steps per day were analyzed using linear growth curve modeling.

resultsTracking correlations of total steps per day at 4-, 9-, and 13-yr intervals were 0.45-0.66, 0.33-0.70, and 0.29-0.60, while corresponding correlations for aerobic steps per day were 0.28-0.55, 0.23-0.52, and 0.08-0.55, respectively. Percentage agreements were higher than 54%, and kappa statistics ranged from slight to fair over time. Compared with the low-active group, the high-active group at baseline had a higher probability of being active later in adulthood. Female sex and higher age were associated directly with the initial number of steps per day and inversely with changes in the number of steps per day. Body mass index was inversely associated with the initial number of steps per day and changes in the number of total steps per day.

conclusionThe 13-yr tracking of steps per day in adulthood was found to be low to moderately high. Daily ambulatory activity is essential to maintaining an active lifestyle throughout adulthood. Changes in the amount of adult steps per day vary by sex, age, and BMI.

Indexed as

WalkingActigraphyBody Mass IndexFemaleFinlandFitness TrackersHumansLongitudinal StudiesMaleMiddle Aged

Identifiers

PMID34261992
PMCPMC8284380

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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.