Vigorous physical activity rather than sedentary behaviour predicts overweight and obesity in pubertal boys: A 2-year follow-up study

Lätt, Evelin; Mäestu, Evelin; Ortega, Francisco B.; Rääsk, Triin; Jürimäe, Toivo; Jürimäe, Jaak

doi:10.1177/1403494815569867

Cited by 47 publications

(76 citation statements)

References 28 publications

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“…The project invitation was then given to each boy of particular classes in those schools who agreed to participate and approximately 84% of them agreed to take part. Initial exclusion criteria were different health problems that did not allow the potential subjects to participate in physical education classes [15,25]. All participants were thoroughly informed of the purposes and contents of the project and a written informed consent was obtained from the parents before participation in the project.…”

Section: Methodsmentioning

confidence: 99%

Comparison of IPAQ-SF and Two Other Physical Activity Questionnaires with Accelerometer in Adolescent Boys

et al. 2017

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Self-report measures of physical activity (PA) are easy to use and popular but their reliability is often questioned. Therefore, the general aim of the present study was to investigate the association of PA questionnaires with accelerometer derived PA, in a sample of adolescent boys. In total, 191 pubertal boys (mean age 14.0 years) completed three self-report questionnaires and wore an accelerometer (ActiGraph GT1M) for 7 consecutive days. The PA questionnaires were: International Physical Activity Questionnaire-Short Form (IPAQ-SF), Tartu Physical Activity Questionnaire (TPAQ), and the Inactivity subscale from Domain-Specific Impulsivity (DSI) scale. All three questionnaires were significantly correlated with accelerometer derived MVPA: the correlations were 0.31 for the IPAQ-SF MVPA, 0.34 for the TPAQ MVPA and -0.29 for the DSI Inactivity scale. Nevertheless, none of the questionnaires can be used as a reliable individual-level estimate of MVPA in male adolescents. The boys underreported their MVPA in IPAQ-SF as compared to accelerometer-derived MVPA (respective averages 43 and 56 minutes); underreporting was more marked in active boys with average daily MVPA at least 60 minutes, and was not significant in less active boys. Conversely, MVPA index from TPAQ overestimated the MVPA in less active boys but underestimated it in more active boys. The sedentary time reported in IPAQ-SF was an underestimate as compared to accelerometer-derived sedentary time (averages 519 and 545 minutes, respectively).

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Section: Methodsmentioning

confidence: 99%

Comparison of IPAQ-SF and Two Other Physical Activity Questionnaires with Accelerometer in Adolescent Boys

et al. 2017

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“…Two studies found that sedentary time predicted lower BMI (17) and WC (39), even after adjustment of MVPA. In general, studies examining the prospective associations between sedentary time and adiposity reported no evidence for any association (16,27,28,(33)(34)(35)(36)(37)(38). Activity of at least moderate intensity was inversely associated with BMI (36,38,40,41) and WC (18,39).…”

Section: Adipositymentioning

confidence: 97%

“…However, differences between boys and girls were present, as an inverse association was evident between vigorous PA and WC in boys only (18). Moreover, boys not meeting the threshold of 20 min of vigorous PA at baseline had an increased risk for overweight 2 years later (OR = 4.14) (37). However, half of the studies found no prospective associations between MVPA at baseline and BMI (42,43) or WC (16,27,28,33,40,42) in models that were ultimately adjusted.…”

Section: Adipositymentioning

confidence: 98%

The prospective association between objectively measured sedentary time, moderate‐to‐vigorous physical activity and cardiometabolic risk factors in youth: a systematic review and meta‐analysis

et al. 2018

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Summary Sedentary time and moderate‐to‐vigorous physical activity (MVPA) may be uniquely related to cardiometabolic health. Excessive sedentary time is suggested as an independent cardiometabolic risk factor, while MVPA is favourably associated with cardiometabolic health. This systematic review and meta‐analysis summarizes the evidence on a prospective relationship between objectively measured sedentary time, MVPA and cardiometabolic health indicators in youth. PubMed, Embase, CINAHL, PhyscINFO and SPORTDiscus were systematically searched from January 2000 until April 2018. Studies were included if sedentary time and physical activity were measured objectively and examined associations with body mass index, waist circumference, triglycerides, high‐density lipoprotein, insulin, blood pressure or the clustering of these cardiometabolic risk factors. We identified 30 studies, of which 21 were of high quality. No evidence was found for an association between sedentary time and cardiometabolic outcomes. The association between MVPA and individual cardiometabolic risk factors was inconsistent. The meta‐analysis for prospective studies found a small but significant effect size between MVPA at baseline and clustered cardiometabolic risk at follow‐up (ES –0.014 [95% CI, −0.024 to −0.004]). We conclude that there is no prospective association between sedentary time and cardiometabolic health, while MVPA is beneficially associated with cardiometabolic health in youth.

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“…Surprisingly, little is known about the sRPE responses in adolescents and more research is needed to better understand the perceptual responses and the optimal rating scale to use in this age group. This is significant given that adolescence is usually a time when a child's level of physical activity begins to decline [32]. Knowledge of a perception of exercise and the physiological factors mediating perceived exertion in this age group and how it might change with further maturation may be important in optimising training loads, promoting healthy physical activity and exercise recommendations and to prevent child from dropping out of sport.…”

Section: Training Load Measurement In the Prevention Of Injuriesmentioning

confidence: 99%

“…One possible reason for this discrepancy might be the experience of the athlete [12] as correlations have been shown to increase when athlete matures. However, ITL might be affected, at least in adolescents, by factors outside from planned workout such as habitual physical activity or the involvement in other sport trainings [12], which might result in more than 5-time difference in moderate-tovigorous physical activity between subjects [32]. Furthermore, accumulation of fatigue and sleep loss or deprivation can have significant effects on performance, motivation, perception of effort and cognition [27].…”

Section: Monitoring Training Load -Difference Between Athlete and Coachmentioning

confidence: 99%

Monitoring training load: necessity, methods and applications

Pind

Mäestu

2018

AKUT

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Regular physical activity and participation in organized sports is important contributor to performance and for overall health and fitness in humans of various age range. In performance related areas, every detail in the training sessions is important for the athlete to be in the best shape the chosen competition day. Sport scientists have been making hard effort to find out how the training has the influence on performance. Thus, training monitoring is important tool to evaluate an athlete's response to training. Banister developed the 'training impulse' (TRIMP) as a method to quantify training load. The TRIMP consists of the exercise intensity calculated by the heart rate (HR) reserve method and the duration of exercise. Foster et al. [23] developed a modification of the rating of the perceived exertion method, which uses Rated Perceived Exertion (RPE) as a marker of training intensity within the TRIMP concept. For quantifying and calculating training load, the athlete's RPE (1-10pt scale) is multiplied by the duration of the session. Ideally, the perceptions of training load should match between athlete and coach to have optimal adaptation. Thus, this brief review article is evaluating training monitoring opportunities without the need of expensive equipment.

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Vigorous physical activity rather than sedentary behaviour predicts overweight and obesity in pubertal boys: A 2-year follow-up study

Cited by 47 publications

References 28 publications

Comparison of IPAQ-SF and Two Other Physical Activity Questionnaires with Accelerometer in Adolescent Boys

Comparison of IPAQ-SF and Two Other Physical Activity Questionnaires with Accelerometer in Adolescent Boys

The prospective association between objectively measured sedentary time, moderate‐to‐vigorous physical activity and cardiometabolic risk factors in youth: a systematic review and meta‐analysis

Monitoring training load: necessity, methods and applications

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