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Physical Activity and Bone Mineral Accrual in Boys with Different Body Mass Parameters during Puberty: A Longitudinal Study

Overview of attention for article published in PLOS ONE, October 2014
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Title
Physical Activity and Bone Mineral Accrual in Boys with Different Body Mass Parameters during Puberty: A Longitudinal Study
Published in
PLOS ONE, October 2014
DOI 10.1371/journal.pone.0107759
Pubmed ID
Authors

Donvina Vaitkeviciute, Evelin Lätt, Jarek Mäestu, Toivo Jürimäe, Meeli Saar, Priit Purge, Katre Maasalu, Jaak Jürimäe

Abstract

The aim of our longitudinal study was to investigate the relationships between physical activity and bone mass in boys with different body mass status during the years surrounding pubertal growth spurt. Two hundred and six boys entering puberty took part in this study. The subjects were divided into underweight ([Formula: see text]), normal weight ([Formula: see text]), overweight ([Formula: see text]) and obese ([Formula: see text]) groups at baseline according to age related categories. Whole-body DXA scans were performed at baseline, after 12 and 24 months to assess body composition (lean body mass, fat mass), and total body (TB), lumbar spine (LS) and femoral neck (FN) bone mineral density (BMD) parameters. Physical activity was measured by 7- day accelerometry. For longitudinal analysis, multilevel fixed effects regression models were constructed. Biological age, height and lean body mass had an effect for explanation of TB BMD, FN BMD and LS BMD. Moderate to vigorous physical activity (MVPA), vigorous physical activity (VPA) and sedentary time (SED) had the significant effect only on FN BMD. Being an underweight boy at the baseline indicated greater chance (p<0.01) to have lower TB BMD in the future (2 years at follow up) development, compared to normal weight (estimates = -0.038), overweight (estimates = -0.061) and obese boys (estimates = -0.106).

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Geographical breakdown

Country Count As %
United Kingdom 2 2%
Unknown 85 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 21%
Student > Master 14 16%
Researcher 7 8%
Student > Bachelor 6 7%
Student > Postgraduate 6 7%
Other 11 13%
Unknown 25 29%
Readers by discipline Count As %
Medicine and Dentistry 15 17%
Sports and Recreations 14 16%
Nursing and Health Professions 12 14%
Agricultural and Biological Sciences 4 5%
Social Sciences 4 5%
Other 8 9%
Unknown 30 34%