Adam Baxter‐Jones

ORCID: 0000-0003-0430-0556
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About
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Research Areas
  • Sports Performance and Training
  • Obesity, Physical Activity, Diet
  • Bone health and osteoporosis research
  • Body Composition Measurement Techniques
  • Children's Physical and Motor Development
  • Sports injuries and prevention
  • Birth, Development, and Health
  • Genetics and Physical Performance
  • Physical Activity and Health
  • Lower Extremity Biomechanics and Pathologies
  • Bone fractures and treatments
  • Hip disorders and treatments
  • Sport Psychology and Performance
  • Muscle metabolism and nutrition
  • Cardiovascular and exercise physiology
  • Hypothalamic control of reproductive hormones
  • Nutritional Studies and Diet
  • Diet and metabolism studies
  • Physical Education and Training Studies
  • Nutrition and Health in Aging
  • Infant Development and Preterm Care
  • Autoimmune and Inflammatory Disorders Research
  • Renal function and acid-base balance
  • Cerebral Palsy and Movement Disorders
  • Health and Lifestyle Studies

University of Saskatchewan
2015-2024

University of Technology Sydney
2017

University of Coimbra
2016

University of Regina
2016

San Antonio College
2016

Michigan State University
2009-2015

Ministry of Education
2015

Universidade do Porto
2015

Universidade Tecnológica Federal do Paraná
2015

Institute for Community Health
2012

MIRWALD, R. L., A. D. G. BAXTER-JONES, BAILEY, and P. BEUNEN. An assessment of maturity from anthropometric measurements. Med. Sci. Sports Exerc., Vol. 34, No. 4, pp. 689–694, 2002. Purpose The range variability between individuals the same chronological age (CA) in somatic biological is large especially accentuated around adolescent growth spurt. Maturity an important consideration when dealing with adolescents, both a research perspective youth sports stratification. A noninvasive,...

10.1097/00005768-200204000-00020 article EN Medicine & Science in Sports & Exercise 2002-04-01

MIRWALD, R. L., A. D. G. BAXTER-JONES, BAILEY, and P. BEUNEN. An assessment of maturity from anthropometric measurements. Med. Sci. Sports Exerc., Vol. 34, No. 4, pp. 689–694, 2002. Purpose The range variability between individuals the same chronological age (CA) in somatic biological is large especially accentuated around adolescent growth spurt. Maturity an important consideration when dealing with adolescents, both a research perspective youth sports stratification. A noninvasive,...

10.1249/00005768-200204000-00020 article EN Medicine & Science in Sports & Exercise 2002-04-01

Abstract Bone area (BA) and bone mineral content (BMC) were measured from childhood to young adulthood at the total body (TB), lumbar spine (LS), hip (TH), femoral neck (FN). BA BMC values expressed as a percentage of young-adult determine if when reached plateau. Data aligned on biological ages [years peak height velocity (PHV)] control for maturity. TB increased significantly −4 +4 years PHV, with reaching plateau, average, 2 later +6 PHV (equates 18 20 age in girls boys, respectively). LS...

10.1002/jbmr.412 article EN Journal of Bone and Mineral Research 2011-04-21

Assessing biological maturity in studies of children is challenging. Sex-specific regression equations developed using anthropometric measures are widely used to predict somatic maturity. However, prediction accuracy was not established external samples. Thus, we aimed evaluate the fit these equations, assess for overfitting (adjusting as necessary), and calibrate samples.We evaluated potential original Pediatric Bone Mineral Accrual Study (PBMAS; 79 boys 72 girls; 7.5-17.5 yr). We assessed...

10.1249/mss.0000000000000588 article EN Medicine & Science in Sports & Exercise 2014-11-25

Dietary patterns established during adolescence might play a role in adulthood disease. We examined the stability of dietary (DPs) from childhood through and into young (from age 8 to 34 years). Data 130 participants (53 females) Saskatchewan Pediatric Bone Mineral Accrual Study (aged 8-15 years, at baseline) were included. Multiple 24-h recalls collected annually 1991 1997, 2002 2005, 2010 2011. Using principal component analysis, "Vegetarian-style", "Western-like", "High-fat,...

10.3390/nu9090990 article EN Nutrients 2017-09-08

The aim of this study was to examine the relationships among biological maturity, physical size, relative age (i.e. birth date), and selection into a male Canadian provincial age-banded ice hockey team. In 2003, 619 players aged 14-15 years attended Saskatchewan team camps, 281 whom participated in present study. Data from 93 age-matched controls were obtained Pediatric Bone Mineral Accrual Study (1991-1997). During initial dates, heights, sitting body masses recorded. Age at peak height...

10.1080/02640410600908001 article EN Journal of Sports Sciences 2006-11-07

Purpose: To investigate whether observed gender differences in objectively measured physical activity (PA) children (8-13 yr) are confounded by maturity differences. Methods: Four hundred and one (194 boys 207 girls) volunteered for this study. An Actigraph accelerometer was used to obtain seven consecutive days of minute-by-minute PA data each participant. Minutes moderate vigorous per day (MVPA), continuous minutes MVPA (CMVPA), (VPA) were derived from the data. Age at peak height velocity...

10.1249/mss.0b013e3180335c3c article EN Medicine & Science in Sports & Exercise 2007-04-25

The process of maturation is continuous throughout childhood and adolescence. In a biological context, the effects child’s might mask or be greater than associated with exposure to exercise. Pediatric exercise scientists must therefore include an assessment age in study designs so that confounding can controlled for. order understand how assessed, it important appreciate 1 year chronological time not equivalent time. Sex- age-associated variations timing tempo have long been recognized. This...

10.1123/pes.17.1.18 article EN Pediatric Exercise Science 2005-02-01

Our aim was to assess BMC of the hip over 8 yr in prepubertal children who participated a 7-mo jumping intervention compared with controls stretching program equal duration. We hypothesized that jumpers would gain more than control subjects. The data reported come from two cohorts separate, but identical, randomized, controlled, school-based impact exercise interventions and reflect those subjects agreed long-term follow-up (N = 57; 33, 24; 47% original participants). assessed by DXA at...

10.1359/jbmr.071201 article EN Journal of Bone and Mineral Research 2007-12-11

To investigate whether observed differences in physical activity levels boys and girls are confounded by biological age particularly during the circumpubertal years.The questionnaire for children (PAQ-C) was administered biannually or triannually to 138 (70 boys; 68 girls) Canadian seven consecutive years from 1991 1997. Participants were 9-18 yr of age. Anthropometric measurements taken at peak height velocity (PHV) determined. Biological defined as PHV. The data analyzed using t-tests...

10.1249/01.mss.0000089244.44914.1f article EN Medicine & Science in Sports & Exercise 2003-10-01

Abstract Peak adolescent fracture incidence at the distal end of radius coincides with a decline in size-corrected BMD both boys and girls. gains bone area preceded peak BMC longitudinal sample girls, supporting theory that dissociation between skeletal expansion mineralization results period relative weakness. Introduction: The high adolescence may be related to fragility resulting from during growing years. aim this study was examine relationship changes (BMDsc) Materials Methods: Subjects...

10.1359/jbmr.060907 article EN Journal of Bone and Mineral Research 2006-09-29

Abstract Background Longitudinal data analysis can improve our understanding of the influences on health trajectories across life-course. There are a variety statistical models which be used, and their fitting interpretation complex, particularly where there is nonlinear trajectory. Our aim was to provide an accessible guide along with applied examples using four sophisticated modelling procedures for describing growth trajectories. Methods This expository paper provides illustrative...

10.1186/s12874-022-01542-8 article EN cc-by BMC Medical Research Methodology 2022-03-15

SummaryÉlite adult athletes are known to have physical and physiological characteristics specifically suited their sport. However, it is not clear whether the observed differences arise because of training or sport selects individual with appropriate characteristics. The purpose this prospective study was compare contrast development young (8–19 years), in so doing provide a possible response question. Development anthropometric sexual maturation were assessed group 232 male for three...

10.1080/03014469500004072 article EN Annals of Human Biology 1995-01-01

Previous studies investigating the effects of training in children have been hampered their interpretation by confounding growth and development. We followed development maximal aerobic power (VO2max) 453 athletes drawn from soccer, swimming, gymnastics, tennis. Study design was a mixed longitudinal type with five age cohorts (8, 10, 12, 14 16 yr) for 3 consecutive years. A multilevel regression modeling procedure used to identify independent predictor variables while accounting growth, such...

10.1152/jappl.1993.75.3.1160 article EN Journal of Applied Physiology 1993-09-01

The present study examined two contrasting multilevel model structures to describe the developmental (longitudinal) changes in strength and aerobic power children: 1) an additive polynomial structure 2) a multiplicative with allometric body size components. On basis of maximum log-likelihood criterion, “allometric” was shown be superior when fitted data from published longitudinal studies provide more plausible solutions within beyond range observations.The regression analysis 1 confirmed...

10.1152/jappl.1998.84.3.963 article EN Journal of Applied Physiology 1998-03-01

During childhood, physical activity is likely the most important modifiable factor for development of lean mass. However, effects normal growth and maturation must be controlled. To distinguish from growth, longitudinal data are required. One hundred nine boys one thirteen girls, participating in Saskatchewan Pediatric Bone Mineral Accrual Study, were repeatedly assessed 6 yr. Age at entry was 8-15 Stature, body mass, biannually. Body composition annually by dual-energy X-ray absorptiometry....

10.1152/japplphysiol.00869.2007 article EN Journal of Applied Physiology 2008-05-08
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