Literature DB >> 27875497

Physical Activity: Absolute Intensity versus Relative-to-Fitness-Level Volumes.

Urho M Kujala1, Julia Pietilä, Tero Myllymäki, Sara Mutikainen, Tiina Föhr, Ilkka Korhonen, Elina Helander.   

Abstract

PURPOSE: This study aimed to investigate in a real-life setting how moderate- and vigorous-intensity physical activity (PA) volumes differ according to absolute intensity recommendation and relative to individual fitness level by sex, age, and body mass index.
METHODS: A total of 23,224 Finnish employees (10,201 men and 13,023 women; ages 18-65 yr; body mass index = 18.5-40.0 kg·m) participated in heart rate recording for 2+ d. We used heart rate and its variability, respiration rate, and on/off response information from R-R interval data calibrated by participant characteristics to objectively determine daily PA volume, as follows: daily minutes of absolute moderate (3-<6 METs) and vigorous (≥6 METs) PA and minutes relative to individual aerobic fitness for moderate (40%-<60% of oxygen uptake reserve) and vigorous (≥60%) PA.
RESULTS: According to absolute intensity categorization, the volume of both moderate- and vigorous-intensity PA was higher in men compared with women (P < 0.001), in younger compared with older participants (P < 0.001), and in normal weight compared with overweight or obese participants (P < 0.001). When the volume of PA intensity was estimated relative to individual fitness level, the differences were much smaller. Mean daily minutes of absolute vigorous-intensity PA were higher than those of relative intensity minutes in normal weight men ages 18-40 yr (17.7, 95% confidence interval [CI] = 16.9-18.6, vs 8.6, 95% CI = 8.0-9.1; P < 0.001), but the reverse was the case for obese women ages 41-65 yr (0.3, 95% CI = 0.2-0.4, vs 7.8, 95% CI = 7.2-8.4; P < 0.001).
CONCLUSION: Compared with low-fit persons, high-fit persons more frequently reach an absolute target PA intensity, but reaching the target is more similar for relative intensity.

Entities:  

Mesh:

Year:  2017        PMID: 27875497     DOI: 10.1249/MSS.0000000000001134

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  15 in total

1.  Evaluating the Accuracy of Using Fixed Ranges of METs to Categorize Exertional Intensity in a Heterogeneous Group of Healthy Individuals: Implications for Cardiorespiratory Fitness and Health Outcomes.

Authors:  Danilo Iannetta; Daniel A Keir; Federico Y Fontana; Erin Calaine Inglis; Anmol T Mattu; Donald H Paterson; Silvia Pogliaghi; Juan M Murias
Journal:  Sports Med       Date:  2021-04-26       Impact factor: 11.136

Review 2.  Cancer and Exercise: Warburg Hypothesis, Tumour Metabolism and High-Intensity Anaerobic Exercise.

Authors:  Peter Hofmann
Journal:  Sports (Basel)       Date:  2018-01-31

3.  Long-term leisure-time physical activity and other health habits as predictors of objectively monitored late-life physical activity - A 40-year twin study.

Authors:  Katja Waller; Henri Vähä-Ypyä; Timo Törmäkangas; Pekka Hautasaari; Noora Lindgren; Paula Iso-Markku; Kauko Heikkilä; Juha Rinne; Jaakko Kaprio; Harri Sievänen; Urho M Kujala
Journal:  Sci Rep       Date:  2018-06-20       Impact factor: 4.379

4.  Validity of traditional physical activity intensity calibration methods and the feasibility of self-paced walking and running on individualised calibration of physical activity intensity in children.

Authors:  Eero A Haapala; Ying Gao; Anssi Vanhala; Timo Rantalainen; Taija Finni
Journal:  Sci Rep       Date:  2020-07-03       Impact factor: 4.379

5.  Accelerometer-measured and self-reported physical activity in relation to extraversion and neuroticism: a cross-sectional analysis of two studies.

Authors:  Tiia Kekäläinen; Eija K Laakkonen; Antonio Terracciano; Tiina Savikangas; Matti Hyvärinen; Tuija H Tammelin; Timo Rantalainen; Timo Törmäkangas; Urho M Kujala; Markku Alen; Vuokko Kovanen; Sarianna Sipilä; Katja Kokko
Journal:  BMC Geriatr       Date:  2020-07-29       Impact factor: 3.921

6.  Physical Activity and Body Composition in Children and Their Mothers According to Mother's Gestational Diabetes Risk: A Seven-Year Follow-Up Study.

Authors:  Marja H Leppänen; Jani Raitanen; Pauliina Husu; Urho M Kujala; Pipsa Pa Tuominen; Henri Vähä-Ypyä; Riitta Luoto
Journal:  Medicina (Kaunas)       Date:  2019-09-25       Impact factor: 2.430

7.  Associations of fitness, motor competence, and adiposity with the indicators of physical activity intensity during different physical activities in children.

Authors:  Eero A Haapala; Ying Gao; Jani Hartikainen; Timo Rantalainen; Taija Finni
Journal:  Sci Rep       Date:  2021-06-15       Impact factor: 4.379

8.  Effect of Sex and Body Mass Index on Children's Physical Activity Intensity during Free Play at an Indoor Soft Play Center: An Exploratory Study.

Authors:  Michelle A Jones
Journal:  Int J Environ Res Public Health       Date:  2017-09-12       Impact factor: 3.390

9.  Prediction of Relative Physical Activity Intensity Using Multimodal Sensing of Physiological Data.

Authors:  Alok Kumar Chowdhury; Dian Tjondronegoro; Vinod Chandran; Jinglan Zhang; Stewart G Trost
Journal:  Sensors (Basel)       Date:  2019-10-17       Impact factor: 3.576

10.  Polygenic Risk Scores and Physical Activity.

Authors:  Urho M Kujala; Teemu Palviainen; Paula Pesonen; Katja Waller; Elina Sillanpää; Maisa Niemelä; Maarit Kangas; Henri Vähä-Ypyä; Harri Sievänen; Raija Korpelainen; Timo Jämsä; Minna Männikkö; Jaakko Kaprio
Journal:  Med Sci Sports Exerc       Date:  2020-07
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