Bone Mineral Density in Adolescent Boys: Cross-Sectional Observational Study.
Anna KopiczkoJakub Grzegorz AdamczykMonika Lopuszanska-DawidPublished in: International journal of environmental research and public health (2020)
Physical inactivity of children can be a precursor of reduced bone mineral density, considered to be a typical problem only in old age. The aim of this study was to evaluate bone mineral density in 96 Polish boys aged 14-17 years with varied physical activity (swimmers, track and field athletes, non-athletes) and the effect of bone composition, birth weight and breastfeeding during infancy on bone parameters. Anthropometric and body composition measurements were performed according to the kinanthropometric standards. Bone parameters of the forearm were measured by means of dual-energy X-ray absorptiometry. Data on the infant's birth weight and the length of breastfeeding were collected during direct interviews with mothers. The strongest links with bone parameters were found for the type of physical activity and birth weight. Regardless of birth weight, track and field athletes had the most advantageous bone parameters (mainly sT-score prox values). Swimmers with normal or low birth weight had less favourable sT-score prox values than non-athletes. The type of physical activity proved to be an important determinant of bone parameters. Childhood and adolescence are important periods of bone development and increasing the content of bone mineral components, and the bone status in later years of life depends to a large extent on this period. The perinatal period, especially the correct birth weight of the child, not only has a significant effect on general health, but also on bone status.
Keyphrases
- bone mineral density
- body composition
- birth weight
- postmenopausal women
- weight gain
- physical activity
- gestational age
- resistance training
- mental health
- cross sectional
- low birth weight
- computed tomography
- preterm infants
- young adults
- body mass index
- preterm birth
- depressive symptoms
- artificial intelligence
- magnetic resonance imaging
- bone loss
- electronic health record
- big data
- high intensity
- human health
- health information
- human milk
- image quality