10 research outputs found
Categorizing ten sports according to bone and soft tissue profiles in adolescents
This is the author accepted manuscript. The final version is available from Lippincott, Williams & Wilkins via the DOI in this recordPurpose: Considering the different loading and training characteristics of the sports practiced
during growth, it is important to specify and categorize the bone and soft tissue adaptations in
adolescent athletes. This study aimed to categorize ten different loading sports and a non-sport
group and identify the differences in bone density and soft tissues. Methods: The sample
included 625 adolescents (10 to 17 years of age) of ten sports (soccer, basketball, volleyball,
track & field, judo, karate, kung-fu, gymnastics, baseball and swimming) and a non-sport
group. Dual energy X-ray absorptiometry assessed areal bone mineral density (aBMD), bone
mineral apparent density (BMAD) and soft tissues (lean soft tissue and fat mass). The results
were adjusted for sex, peak height velocity (PHV) status, lean soft tissue, fat mass and weekly
training volume. Results: The comparisons among groups showed that soccer had the highest
whole body aBMD (mean SEM: 1.082 g/cm2 0.007) and lower limbs aBMD (1.302g/cm2
0.010). Gymnastics presented the highest upper limbs (0.868 g/cm2
0.012) and whole body
BMAD (0.094 g/cm2
0.001). Swimming presented the lowest aBMD values in all skeletal
sites (except at the upper limbs) and whole body BMAD. The soft tissue comparisons showed
that soccer had the highest lean soft tissue (43.8 kg 0.7). The lowest fat mass was found in
gymnastics (8.04 kg 1.0). Conclusion: The present study investigated and categorised for
the first time ten different sports according to bone density and soft tissue profiles. Soccer and
gymnastics sport groups found to have the highest bone density in most body segments and
both sports were among the groups with the lowest fat mass
The Mediating Role of Lean Soft Tissue in the Relationship between Somatic Maturation and Bone Density in Adolescent Practitioners and Non-Practitioners of Sports
This study aimed to identify the mediating effect of lean soft tissue (LST) in the association
between somatic maturation and areal bone mineral density (aBMD) in adolescents by sex and
sport participation. The sample included 558 adolescents (401 males, mean age of 14.0 years) that
were practitioners of sports (11 sport modalities, n = 402) and a non-sport group (n = 157). Somatic
maturation was assessed by using a validated peak height velocity prediction equation. Dual-energy
X-ray absorptiometry (DXA) was used to assess aBMD (upper and lower limbs, spine and total body
less head—TBLH) and LST. For both sexes, LST mediated the association between somatic maturation
and aBMD at all skeletal sites (mediation percentage ranging from 36.3% to 75.4%). For sport and
non-sport groups, the LST also mediated the association between somatic maturation and aBMD at
all skeletal sites (mediation percentage ranging from 51.6% to 85.6%). The direct effect was observed
in all groups, except for lower limbs and TBLH in the non-sport group. The association between
somatic maturation and aBMD was mediated by LST in adolescents of both sexes and regardless of
involvement in organized sports. Our findings highlighted the role of improving LST to mitigate the
association of somatic maturation with aBMD.SĂŁo Paulo Research Foundation (FAPESP) (FAPESP
Process 2013/06963-5, 2015/13543-8, 2016/06920-2, 2017/09182-5, 2018/24164-6 and 2015/19710-3)FAPESP (2017/27234-2)FAPESP
(2016/20354-0)“La Caixa” Foundation within the Junior Leader fellowship
programme (ID 100010434; code LCF/BQ/PR19/11700007
Impact of sports participation on incidence of bone traumatic fractures and health care costs among adolescents: ABCD – Growth Study
This is the author accepted manuscript. The final version is available from Taylor & Francis.Objective: To analyze the risk of bone traumatic fractures according to the engagement in sports, as well as to identify the potential impact of sports participation and traumatic fractures on health care costs among adolescents. Methods: This is a longitudinal 12-months follow-up study of 285 adolescents of both sexes in Brazil. We assessed the occurrence of traumatic fractures and health care services (hospitalizations, medicine use, medical consultations and exams) by phone contact every single month for 12 months. Adolescents were divided into four groups according to sport characteristics: non-sport (n= 104), non-impact sport (swimming [n= 34]), martial arts (n= 49 [judo, karate, kung-Fu]) and impact sports (n= 98 [track-and-field, basketball, gymnastics, tennis, and baseball]). Results: The incidence of new fractures was 2.1%. The overall costs accounted during the 12-month follow-up were U 13.86) had higher health care costs than non-sport (US 2.23) and impact sports (US$ 2.32). Conclusion: swimming seems to be related to higher health care costs among adolescents
The Positive Relationship between Moderate-to-Vigorous Physical Activity and Bone Mineral Content Is Not Mediated by Free Leptin Index in Prepubertal Children: The PANIC Study
This is the final version. Available from MDPI via the DOI in this record. The datasets analyzed during the current study are available from the corresponding author on reasonable request.Purpose: Moderate-to-vigorous physical activity (MVPA) positively influences bone mineral content (BMC) in prepubertal children, but it is unknown whether this relationship is partially mediated by free leptin index. The aim of this study was to examine whether the relationship between MVPA and total body less head (TBLH) BMC is mediated or moderated by free leptin index in prepubertal children. Methods: We performed a cross-sectional analysis on 401 children (194 girls) from baseline examinations of the Physical Activity and Nutrition in Childhood Study. We applied the four-way decomposition mediation analysis method to assess whether free leptin index, measured from fasted blood samples, mediated the relationship between accelerometer-measured MVPA and TBLH BMC measured by dual-energy X-ray absorptiometry. Results: MVPA had a positive controlled direct effect on TBLH BMC in girls and boys (β = 0.010 to 0.011, p 0.05). Conclusion: Our study indicates that MVPA positively influences TBLH BMC through pathways not related to free leptin index in predominantly normal-weight prepubertal children, likely primarily through mechanical loading. The relationships between MVPA, free leptin index and TBLH BMC may be influenced by other factors such as pubertal status and adiposity, so it is unknown whether these observations extend to overweight and obese children at different stages of puberty.Medical Research Council (MRC)NIHR Cambridge Biomedical Research CentreSão Paulo Research Foundation-FAPESPSão Paulo Research Foundation-FAPESPKuopio University HospitalMinistry of Education and Culture of FinlandFinnish Innovation Fund SitraSocial Insurance Institution of FinlandFinnish Cultural FoundationJuho Vainio FoundationFoundation for Paediatric ResearchDoctoral Programs in Public HealthPaavo Nurmi FoundationPaulo FoundationDiabetes Research FoundationThe Finnish Medical Society DuodecimOrion Research Foundation srResearch Committee of the Kuopio University Hospital Catchment AreaMinistry of Social Affairs and Health of FinlandThe city of Kuopi
Impact of sports participation on incidence of bone traumatic fractures and health-care costs among adolescents: ABCD–Growth Study
Objective: To analyze the risk of bone traumatic fractures according to the engagement in sports, as well as
to identify the potential impact of sports participation and traumatic fractures on health-care costs among
adolescents.
Methods: This is a longitudinal 12-month study of 285 adolescents of both sexes in Brazil. We assessed
the occurrence of traumatic fractures and health-care services (hospitalizations, medicine use, medical
consultations, and exams) by phone contact every month for 12 months. Adolescents were divided into
four groups according to sport characteristics: non-sport (n = 104), non-impact sport (swimming [n =
34]), martial arts (n = 49 [judo, karate, kung-Fu]) and impact sports (n = 98 [track-and-field, basketball,
gymnastics, tennis, and baseball]).
Results: The incidence of new fractures was 2.1%. The overall costs accounted during the 12-month
follow-up were U 13.86) had higher health-care costs than non-sport (US 2.23), and impact sports (US$ 2.32).
Conclusion: swimming seems to be related to higher health-care costs among adolescents.This study was supported by the SĂŁo Paulo Research Foundation-FAPESP (Process 2016/20377-0 and 2015/19710-3). RRA received a Grant from the FAPESP (2017/09182-5)
Basketball players possess a higher bone mineral density than matched non-athletes, swimming, soccer, and volleyball athletes: A systematic review and meta-analysis
Summary: Basketball athletes possess a higher bone mineral density (BMD) than matched non-athletes and swimming, soccer, and volleyball athletes. Differences appear to be exacerbated with continued training and competition beyond adolescence. The greater BMD in basketball athletes compared to non-athletes, swimming, and soccer athletes is more pronounced in males than females. Purpose: The aim of this study was to examine differences in total and regional bone mineral density (BMD) between basketball athletes, non-athletes, and athletes competing in swimming, soccer, and volleyball, considering age and sex. Methods: PubMed, MEDLINE, ERIC, Google Scholar, and Science Direct were searched. Included studies consisted of basketball players and at least one group of non-athletes, swimming, soccer, or volleyball athletes. BMD data were meta-analyzed. Cohen’s d effect sizes [95% confidence intervals (CI)] were interpreted as: trivial ≤ 0.20, small = 0.20–0.59, moderate = 0.60–1.19, large = 1.20–1.99, and very large ≥ 2.00. Results: Basketball athletes exhibited significantly (p < 0.05) higher BMD compared to non-athletes (small-moderate effect in total-body: d = 1.06, CI 0.55, 1.56; spine: d = 0.67, CI 0.40, 0.93; lumbar spine: d = 0.96, CI 0.57, 1.35; upper limbs: d = 0.70, CI 0.29, 1.10; lower limbs: d = 1.14, CI 0.60, 1.68; pelvis: d = 1.16, CI 0.05, 2.26; trunk: d = 1.00, CI 0.65, 1.35; and femoral neck: d = 0.57, CI 0.16, 0.99), swimming athletes (moderate-very large effect in total-body: d = 1.33, CI 0.59, 2.08; spine: d = 1.04, CI 0.60, 1.48; upper limbs: d = 1.19, CI 0.16, 2.22; lower limbs: d = 2.76, CI 1.45, 4.06; pelvis d = 1.72, CI 0.63, 2.81; and trunk: d = 1.61, CI 1.19, 2.04), soccer athletes (small effect in total-body: d = 0.58, CI 0.18, 0.97), and volleyball athletes (small effect in total-body: d = 0.32, CI 0.00, 0.65; and pelvis: d = 0.48, CI 0.07, 0.88). Differences in total and regional BMD between groups increased with age and appeared greater in males than in females. Conclusion: Basketball athletes exhibit a greater BMD compared to non-athletes, as well as athletes involved in swimming, soccer, and volleyball. © 2020, International Osteoporosis Foundation and National Osteoporosis Foundation
Bone tissue, blood lipids and inflammatory profiles in adolescent male athletes from sports contrasting in mechanical load
Exploring the effect of non-impact and impact sports is particular relevant to understand the interaction between skeletal muscle and bone health during growth. The current study aimed to compare total and regional bone and soft-tissue composition, in parallel to measurements of blood lipid and inflammatory profiles between adolescent athletes and non-athletes. Anthropometry, biological maturity, dual energy X-ray absorptiometry (DXA) scans, training load and lipid and inflammatory profiles were assessed in a cross-sectional sample of 53 male adolescents (20 non-athletes, 15 swimmers and 18 basketball players) aged 12-19 years. Multiple comparisons between groups were performed using analysis of variance, covariance and magnitude effects (ES-r and Cohen's d). The comparisons of controls with other groups were very large for high-sensitivity C-reactive protein (d range: 2.17-2.92). The differences between sports disciplines, regarding tissue outputs obtained from DXA scan were moderate for all variables except fat tissue (d = 0.4). It was possible to determine small differences (ES-r = 0.17) between controls and swimmers for bone area at the lower limbs (13.0%). In parallel, between swimmers and basketball players, the gradient of the differences was small (ES-r range: 0.15-0.23) for bone mineral content (24.6%), bone area (11.3%) and bone mineral density (11.1%) at the lower limbs, favoring the basketball players. These observations highlight that youth male athletes presented better blood and soft tissues profiles with respect to controls. Furthermore, sport-specific differences emerged for the lower limbs, with basketball players presenting higher bone mineral content, area and density than swimmers