Jarek Mäestu

Dr. Jarek Mäestu

University of Tartu
orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 January 2023 in British Journal of Sports Medicine
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Journal Article
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FOFrancisco B. Ortega
Francisco B. Ortega
BLBojan Leskošek
Bojan Leskošek
RBRok Blagus
Rok Blagus
JGJosé J. Gil-Cosano
José J. Gil-Cosano
Jarek MäestuJarek Mäestu
Jarek Mäestu
Gregor JurakGregor Jurak
Gregor Jurak
Objectives (1) To develop reference values for health-related fitness in European children and adolescents aged 6–18 years that are the foundation for the web-based, open-access and multilanguage fitness platform (FitBack); (2) to provide comparisons across European countries. Methods This study builds on a previous large fitness reference study in European youth by (1) widening the age demographic, (2) identifying the most recent and representative country-level data and (3) including national data from existing fitness surveillance and monitoring systems. We used the Assessing Levels of PHysical Activity and fitness at population level (ALPHA) test battery as it comprises tests with the highest test–retest reliability, criterion/construct validity and health-related predictive validity: the 20 m shuttle run (cardiorespiratory fitness); handgrip strength and standing long jump (muscular strength); and body height, body mass, body mass index and waist circumference (anthropometry). Percentile values were obtained using the generalised additive models for location, scale and shape method. Results A total of 7 966 693 test results from 34 countries (106 datasets) were used to develop sex-specific and age-specific percentile values. In addition, country-level rankings based on mean percentiles are provided for each fitness test, as well as an overall fitness ranking. Finally, an interactive fitness platform, including individual and group reporting and European fitness maps, is provided and freely available online (www.fitbackeurope.eu). Conclusion This study discusses the major implications of fitness assessment in youth from health, educational and sport perspectives, and how the FitBack reference values and interactive web-based platform contribute to it. Fitness testing can be conducted in school and/or sport settings, and the interpreted results be integrated in the healthcare systems across Europe.

1 April 2010 in Journal of Strength & Conditioning Research
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Jarek MäestuJarek Mäestu
Jarek Mäestu
AEAlon Eliakim
Alon Eliakim
Jaak JürimäeJaak Jürimäe
Jaak Jürimäe
IVIvo Valter
Ivo Valter
TJToivo Jürimäe
Toivo Jürimäe
Mäestu, J, Eliakim, A, Jürimäe, J, Valter, I, and Jürimäe, T. Anabolic and catabolic hormones and energy balance of the male bodybuilders during the preparation for the competition. J Strength Cond Res 24(4): 1074-1081, 2010-The purpose of the study was to investigate simultaneous effects of energy balance, caloric intake, and the hormonal anabolic-catabolic balance in bodybuilders prior to competition. Fourteen male bodybuilders took part in an 11-week energy-restricted period to reduce body fat. The subjects were divided into the energy-restricted group (ERG) (n = 7), who were preparing for the competition, or the control group (CG) (n = 7) who continued to train regularly and did not change their dietary or training pattern. Participants were tested at 11 weeks (T1), 5 weeks (T2), and 3 days (T3) before competition for diet, body composition, and fasting hormonal assessment. Body mass and body fat percentage of ERG were significantly (p < 0.05) decreased during the study period. In ERG, insulinlike growth factor-1 (IGF-1) and insulin decreased significantly during the 11-week weight-reduction period (p < 0.05). Testosterone was decreased only from week 11 to week 5 (from 20.3 ± 6.0 to 18.0 ± 6.8 nmol/L). Changes in IGF-I concentration were significantly related to changes in insulin (r = 0.741), fat mass (r = 0.705), lean body mass (r = 0.696), and body mass (r = 0.652). Changes in insulin concentrations were significantly related to changes in fat mass (r = 0.630) and lean body mass (r = 0.725). These data indicate that severe energy restriction to extremely low body energy reserves decreases significantly the concentrations of 3 anabolic pathways despite high protein intake. Monitoring of insulin and IGF-1 concentration is suggested to prevent losses in muscle mass in energy-restricted conditions. Other nutritional strategies might be needed to prevent possible catabolic effect during preparation of bodybuilders to competition.

5 January 2017 in PLOS ONE
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TRTriin Rääsk
Triin Rääsk
Jarek MäestuJarek Mäestu
Jarek Mäestu
ELEvelin Lätt
Evelin Lätt
Jaak JürimäeJaak Jürimäe
Jaak Jürimäe
TJToivo Jürimäe
Toivo Jürimäe
KKKenn Konstabel
Kenn Konstabel
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).

30 July 2008 in European Journal of Applied Physiology
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RRRaul Rämson
Raul Rämson
Jaak JürimäeJaak Jürimäe
Jaak Jürimäe
TJToivo Jürimäe
Toivo Jürimäe
Jarek MäestuJarek Mäestu
Jarek Mäestu

19 February 2014 in Journal of Bone and Mineral Metabolism
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AIArtūrs Ivuškāns
Artūrs Ivuškāns
Jarek MäestuJarek Mäestu
Jarek Mäestu
TJToivo Jürimäe
Toivo Jürimäe
ELEvelin Lätt
Evelin Lätt
PPPriit Purge
Priit Purge
Jaak JürimäeJaak Jürimäe
Jaak Jürimäe

1 February 2008 in Metabolism
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Journal Article
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Jarek MäestuJarek Mäestu
Jarek Mäestu
Jaak JürimäeJaak Jürimäe
Jaak Jürimäe
IVIvo Valter
Ivo Valter
TJToivo Jürimäe
Toivo Jürimäe