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Tan J, Ng CA, Hart NH, Rantalainen T, Sim M, Scott D, Zhu K, Hands B, Chivers P. Reduced Peak Bone Mass in Young Adults With Low Motor Competence. J Bone Miner Res 2023; 38:665-677. [PMID: 36795323 DOI: 10.1002/jbmr.4788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 01/10/2023] [Accepted: 02/12/2023] [Indexed: 02/17/2023]
Abstract
Although suboptimal bone health has been reported in children and adolescents with low motor competence (LMC), it is not known whether such deficits are present at the time of peak bone mass. We examined the impact of LMC on bone mineral density (BMD) in 1043 participants (484 females) from the Raine Cohort Study. Participants had motor competence assessed using the McCarron Assessment of Neuromuscular Development at 10, 14, and 17 years, and a whole-body dual-energy X-ray absorptiometry (DXA) scan at 20 years. Bone loading from physical activity was estimated from the International Physical Activity Questionnaire at the age of 17 years. The association between LMC and BMD was determined using general linear models that controlled for sex, age, body mass index, vitamin D status, and prior bone loading. Results indicated LMC status (present in 29.6% males and 21.9% females) was associated with a 1.8% to 2.6% decrease in BMD at all load-bearing bone sites. Assessment by sex showed that the association was mainly in males. Osteogenic potential of physical activity was associated with increased BMD dependent on sex and LMC status, with males with LMC showing a reduced effect from increasing bone loading. As such, although engagement in osteogenic physical activity is associated with BMD, other factors involved in physical activity, eg, diversity, movement quality, may also contribute to BMD differences based upon LMC status. The finding of lower peak bone mass for individuals with LMC may reflect a higher risk of osteoporosis, especially for males; however, further research is required. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Jocelyn Tan
- School of Health Sciences and Physiotherapy, University of Notre Dame Australia, Fremantle, Australia.,Western Australian Bone Research Collaboration, Perth, Australia
| | - Carrie-Anne Ng
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia
| | - Nicolas H Hart
- Western Australian Bone Research Collaboration, Perth, Australia.,School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia.,Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia.,Institute for Health Research, University of Notre Dame Australia, Fremantle, Australia.,School of Sport, Exercise and Rehabilitation, University of Technology Sydney, Sydney, Australia
| | - Timo Rantalainen
- Western Australian Bone Research Collaboration, Perth, Australia.,School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia.,Institute for Health Research, University of Notre Dame Australia, Fremantle, Australia.,Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland.,Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Marc Sim
- Western Australian Bone Research Collaboration, Perth, Australia.,Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia.,Medical School, The University of Western Australia, Perth, Australia
| | - David Scott
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia.,Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Burwood, Australia
| | - Kun Zhu
- Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia.,Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Australia
| | - Beth Hands
- Institute for Health Research, University of Notre Dame Australia, Fremantle, Australia
| | - Paola Chivers
- Western Australian Bone Research Collaboration, Perth, Australia.,Institute for Health Research, University of Notre Dame Australia, Fremantle, Australia
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Aadland E, Nilsen AKO, Haugland ES, Vabø KB, Aadland KN. The multivariate physical activity signatures associated with body mass index and waist-to-height ratio in 3–5-year-old Norwegian children. Prev Med Rep 2022; 29:101930. [PMID: 35942297 PMCID: PMC9356261 DOI: 10.1016/j.pmedr.2022.101930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 07/08/2022] [Accepted: 07/26/2022] [Indexed: 11/29/2022] Open
Affiliation(s)
- Eivind Aadland
- Corresponding author at: Western Norway University of Applied Sciences, Faculty of Education, Arts and Sports, Department of Sport, Food and Natural Sciences, Campus Sogndal, Box 133, 6851 Sogndal, Norway.
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The Physical Behaviour Intensity Spectrum and Body Mass Index in School-Aged Youth: A Compositional Analysis of Pooled Individual Participant Data. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19148778. [PMID: 35886629 PMCID: PMC9320124 DOI: 10.3390/ijerph19148778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 07/04/2022] [Accepted: 07/15/2022] [Indexed: 12/10/2022]
Abstract
We examined the compositional associations between the intensity spectrum derived from incremental acceleration intensity bands and the body mass index (BMI) z-score in youth, and investigated the estimated differences in BMI z-score following time reallocations between intensity bands. School-aged youth from 63 schools wore wrist accelerometers, and data of 1453 participants (57.5% girls) were analysed. Nine acceleration intensity bands (range: 0−50 mg to ≥700 mg) were used to generate time-use compositions. Multivariate regression assessed the associations between intensity band compositions and BMI z-scores. Compositional isotemporal substitution estimated the differences in BMI z-score following time reallocations between intensity bands. The ≥700 mg intensity bandwas strongly and inversely associated with BMI z-score (p < 0.001). The estimated differences in BMI z-score when 5 min were reallocated to and from the ≥700 mg band and reallocated equally among the remaining bands were −0.28 and 0.44, respectively (boys), and −0.39 and 1.06, respectively (girls). The time in the ≥700 mg intensity band was significantly associated with BMI z-score, irrespective of sex. When even modest durations of time in this band were reallocated, the asymmetrical estimated differences in BMI z-score were clinically meaningful. The findings highlight the utility of the full physical activity intensity spectrum over a priori-determined absolute intensity cut-point approaches.
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Aadland E, Holmøy OK, Nilsen AKO. The multivariate physical activity signature associated with body mass index in young children. Prev Med 2021; 145:106437. [PMID: 33493523 DOI: 10.1016/j.ypmed.2021.106437] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 11/27/2020] [Accepted: 01/17/2021] [Indexed: 01/18/2023]
Abstract
The evidence regarding associations between intensity-specific physical activity and adiposity in young children is conflicting. Moreover, the evidence is limited by analytical approaches that cannot handle the multicollinearity among multiple variables across the entire intensity spectrum. We aimed to determine the multivariate physical activity intensity signature associated with body mass index in a large sample of preschool children aged 3-6 years. 1182 Norwegian preschool children (mean age 4.7 years, 51% boys) provided data on physical activity (ActiGraph GT3X+) and body mass index during 2015-2016. Multivariate pattern analysis was used to determine associations between the entire triaxial intensity spectra (time spent in intensities from 0-99 to ≥ 15000 counts per minute) and body mass index in the total sample and in subgroups split by sex and age (median split). The association patterns were comparable across the three axes. For the vertical axis, associations were negative for time spent sedentary (0-99 counts per minute), positive for time spent in lower intensities (100-2999 counts per minute), and negative for time spent in vigorous intensities (4000-12,999 counts per minute). Associations were stronger in older than in younger children and no associations were observed for vigorous intensities among younger children. Association patterns were comparable for boys and girls. In conclusion, we found clear associations with body mass index across the physical activity intensity spectrum in preschool children. However, the age-specific association patterns suggest negative (unfavorable) associations with vigorous physical activity intensities develop around 5-6 years of age.
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Affiliation(s)
- Eivind Aadland
- Western Norway University of Applied Sciences, Faculty of Education, Arts and Sports, Department of Sport, Food and Natural Sciences, Campus Sogndal, Sogndal, Norway.
| | - Oddbjørn Kvalheim Holmøy
- Western Norway University of Applied Sciences, Faculty of Education, Arts and Sports, Department of Sport, Food and Natural Sciences, Campus Sogndal, Sogndal, Norway.
| | - Ada Kristine Ofrim Nilsen
- Western Norway University of Applied Sciences, Faculty of Education, Arts and Sports, Department of Sport, Food and Natural Sciences, Campus Sogndal, Sogndal, Norway.
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Aadland E, Nilsen AKO, Andersen LB, Rowlands AV, Kvalheim OM. A comparison of analytical approaches to investigate associations for accelerometry-derived physical activity spectra with health and developmental outcomes in children. J Sports Sci 2020; 39:430-438. [DOI: 10.1080/02640414.2020.1824341] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- Eivind Aadland
- Department of Sport, Food and Natural Sciences, Faculty of Education, Arts and Sports, Western Norway University of Applied Sciences Campus Sogndal, Sogndal, Norway
| | - Ada Kristine Ofrim Nilsen
- Department of Sport, Food and Natural Sciences, Faculty of Education, Arts and Sports, Western Norway University of Applied Sciences Campus Sogndal, Sogndal, Norway
| | - Lars Bo Andersen
- Department of Sport, Food and Natural Sciences, Faculty of Education, Arts and Sports, Western Norway University of Applied Sciences Campus Sogndal, Sogndal, Norway
| | - Alex V. Rowlands
- Assessment of Movement Behaviours Group (Amber), Leicester Lifestyle and Health Research Group, Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Leicester, UK
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