![]() |
JOURNAL TOOLS |
Opzioni di pubblicazione |
eTOC |
Per abbonarsi |
Sottometti un articolo |
Segnala alla tua biblioteca |
ARTICLE TOOLS |
Publication history |
Estratti |
Permessi |
Per citare questo articolo |
Share |


I TUOI DATI
I TUOI ORDINI
CESTINO ACQUISTI
N. prodotti: 0
Totale ordine: € 0,00
COME ORDINARE
I TUOI ABBONAMENTI
I TUOI ARTICOLI
I TUOI EBOOK
COUPON
ACCESSIBILITÀ
ORIGINAL ARTICLE BODY COMPOSITION, NUTRITION AND SUPPLEMENTATION
The Journal of Sports Medicine and Physical Fitness 2021 April;61(4):571-81
DOI: 10.23736/S0022-4707.20.11281-7
Copyright © 2020 EDIZIONI MINERVA MEDICA
lingua: Inglese
Impact of physical activity, anthropometric, body composition, and dietary factors on bone stiffness in German university students
Juliane HEYDENREICH ✉, Antje SCHWETER, Petra LÜHRMANN
BACKGROUND: Bone density in the young-adult life is associated with risk for osteoporosis in later life. Next to genetic factors, lifestyle seems to play an important role for bone health. Aim of the study was to clarify the relationship between various lifestyle factors and bone parameters in university students.
METHODS: In 233 women and 52 men (age: 22.7±3.1 vs. 24.0±3.2 years; BMI: 22.2±2.9 vs. 24.2±3.1 kg∙m-2) the following parameters were assessed: calcaneal Stiffness Index ([SI]; quantitative ultrasound), body composition (bioelectrical impedance analysis), actual and past physical activity level ([PAL]; standardized questionnaire), and food/nutrient intake (3-day dietary record). Sex differences (Mann-Whitney-U-tests), relationships between SI and lifestyle factors (Spearman’s rank correlation), and the influence of the factors on the variance of SI (multiple linear regression) were tested (α=0.05).
RESULTS: 6.9% of the women and 5.8% of the men were classified as osteopenic (-2.5< T score <-1). Significant correlations between SI and BMI, absolute fat mass and fat-free mass, actual PAL, and physical activity during adolescence were found in women (r=0.18-0.24, all P<0.05), but not in men. Food/nutrient parameters did not significantly correlate with bone outcomes (P>0.05). In multiple regression analysis physical activity during adolescence, actual PAL, and BMI explained 8% of the variance of SI (P<0.0001): SI=32.2+3.5∙physical activity during adolescence [1: very low, 2: low, 3: medium, 4: high, 5: very high] +28.5∙PAL+0.8∙BMI [kg∙m-2].
CONCLUSIONS: Parameters of physical activity seem to be more important for bone health than nutrition factors. Therefore, high levels of physical activity during childhood, adolescence, and early-adult life are highly recommended to improve bone parameters.
KEY WORDS: Bone density; Body composition; Exercise