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Published in: Archives of Osteoporosis 1/2014

01-12-2014 | Original Article

The Tromsø Study: Fit Futures: a study of Norwegian adolescents’ lifestyle and bone health

Authors: Anne Winther, Elaine Dennison, Luai Awad Ahmed, Anne-Sofie Furberg, Guri Grimnes, Rolf Jorde, Clara Gram Gjesdal, Nina Emaus

Published in: Archives of Osteoporosis | Issue 1/2014

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Abstract

Summary

Bone mass achievement predicts later fracture risk. This population-based study describes bone mineral density (BMD) levels and associated factors in Norwegian adolescents. Compared with international reference ranges, BMD levels appear higher and physical activity levels are positively associated with BMD.

Purpose

Norway has one of the highest reported incidences of osteoporotic fractures. Maximisation of peak bone mass may prevent later fractures. This population-based study compared BMD levels of Norwegian adolescents with international reference ranges and explored associated factors.

Methods

All first-year upper-secondary school students, aged 15–19 years in the Tromsø region were invited to the Fit Futures study in 2010–2011. Over 90 % of the invited participants attended, 508 girls and 530 boys. BMD was measured at total hip, femoral neck and total body by dual X-ray absorptiometry. Lifestyle variables were collected by self-administered questionnaires and interviews. All analyses were performed sex stratified, using linear regression models.

Results

In girls, mean BMD (SD) was 1.060 g/cm2 (0.124), 1.066 g/cm2 (0.123) and 1.142 g/cm2 (0.077) at the total hip, femoral neck and total body, respectively. In boys, corresponding values were 1.116 (0.147), 1.103 (0.150) and 1.182 (0.097), with significant higher values than the Lunar pediatric reference at 16 years of age. In girls, height and self-reported intensive physical activity of more than 4 h a week and early sexual maturation were positively associated with BMD at both femoral sites (p < 0.047). Among boys age, height, body mass index, physical activity and alcohol intake were positively (p < 0.038), whereas early stages of sexual maturation and smoking was negatively (p < 0.047) related to BMD.

Conclusions

Despite the heavy fracture burden, Norwegian adolescents’ BMD levels are higher than age-matched Caucasians. Physical activity is associated with 1 SD increased BMD levels in those involved in competition or hard training.
Literature
1.
5.
go back to reference Marshall D, Johnell O, Wedel H (1996) Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures. BMJ 312(7041):1254–1259PubMedCentralPubMedCrossRef Marshall D, Johnell O, Wedel H (1996) Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures. BMJ 312(7041):1254–1259PubMedCentralPubMedCrossRef
6.
go back to reference Rizzoli R et al (2010) Maximizing bone mineral mass gain during growth for the prevention of fractures in the adolescents and the elderly. Bone 46(2):294–305PubMedCrossRef Rizzoli R et al (2010) Maximizing bone mineral mass gain during growth for the prevention of fractures in the adolescents and the elderly. Bone 46(2):294–305PubMedCrossRef
8.
go back to reference Omsland TK et al (2008) In vivo and in vitro comparison of densitometers in the NOREPOS study. J Clin Densitom 11(2):276–282PubMedCrossRef Omsland TK et al (2008) In vivo and in vitro comparison of densitometers in the NOREPOS study. J Clin Densitom 11(2):276–282PubMedCrossRef
9.
go back to reference Lunar enCore, Supplement til pediatrisk referansedata. 1. revision ed. 2010-Nov: GE Healthcare Lunar enCore, Supplement til pediatrisk referansedata. 1. revision ed. 2010-Nov: GE Healthcare
11.
13.
go back to reference Koo MM, Rohan TE (1997) Accuracy of short-term recall of age at menarche. Ann Hum Biol 24(1):61–64PubMedCrossRef Koo MM, Rohan TE (1997) Accuracy of short-term recall of age at menarche. Ann Hum Biol 24(1):61–64PubMedCrossRef
14.
go back to reference Petersen A et al (1988) A self-report measure of pubertal status: reliability, validity, and initial norms. J Youth Adolesc 17(2):117–133PubMedCrossRef Petersen A et al (1988) A self-report measure of pubertal status: reliability, validity, and initial norms. J Youth Adolesc 17(2):117–133PubMedCrossRef
15.
go back to reference Graff-Iversen S et al (2008) Two short questionnaires on leisure-time physical activity compared with serum lipids, anthropometric measurements and aerobic power in a suburban population from Oslo, Norway. Eur J Epidemiol 23(3):167–174PubMedCrossRef Graff-Iversen S et al (2008) Two short questionnaires on leisure-time physical activity compared with serum lipids, anthropometric measurements and aerobic power in a suburban population from Oslo, Norway. Eur J Epidemiol 23(3):167–174PubMedCrossRef
16.
17.
go back to reference Lofthus CM et al (2008) Epidemiology of distal forearm fractures in Oslo, Norway. Osteoporos Int 19(6):781–786PubMedCrossRef Lofthus CM et al (2008) Epidemiology of distal forearm fractures in Oslo, Norway. Osteoporos Int 19(6):781–786PubMedCrossRef
18.
go back to reference Rosvold Berntsen GK et al (2000) The Tromso study: determinants of precision in bone densitometry. J Clin Epidemiol 53(11):1104–1112PubMedCrossRef Rosvold Berntsen GK et al (2000) The Tromso study: determinants of precision in bone densitometry. J Clin Epidemiol 53(11):1104–1112PubMedCrossRef
19.
go back to reference Oldroyd B, Smith AH, Truscott JG (2003) Cross-calibration of GE/Lunar pencil and fan-beam dual energy densitometers—bone mineral density and body composition studies. Eur J Clin Nutr 57(8):977–987PubMedCrossRef Oldroyd B, Smith AH, Truscott JG (2003) Cross-calibration of GE/Lunar pencil and fan-beam dual energy densitometers—bone mineral density and body composition studies. Eur J Clin Nutr 57(8):977–987PubMedCrossRef
20.
go back to reference Crabtree NJ et al (2005) Pediatric in vivo cross-calibration between the GE Lunar Prodigy and DPX-L bone densitometers. Osteoporos Int 16(12):2157–2167PubMedCrossRef Crabtree NJ et al (2005) Pediatric in vivo cross-calibration between the GE Lunar Prodigy and DPX-L bone densitometers. Osteoporos Int 16(12):2157–2167PubMedCrossRef
21.
go back to reference Dorn LD et al (2013) Longitudinal impact of substance use and depressive symptoms on bone accrual among girls aged 11-19 years. J Adolesc Health 52(4):393–399PubMedCentralPubMedCrossRef Dorn LD et al (2013) Longitudinal impact of substance use and depressive symptoms on bone accrual among girls aged 11-19 years. J Adolesc Health 52(4):393–399PubMedCentralPubMedCrossRef
22.
go back to reference Kolle E, Torstveit MK, Sundgot-Borgen J (2005) Bone mineral density in Norwegian premenopausal women. Osteoporos Int 16(8):914–920PubMedCrossRef Kolle E, Torstveit MK, Sundgot-Borgen J (2005) Bone mineral density in Norwegian premenopausal women. Osteoporos Int 16(8):914–920PubMedCrossRef
23.
go back to reference Kroger H et al (1992) Bone densitometry of the spine and femur in children by dual-energy x-ray absorptiometry. Bone Miner 17(1):75–85PubMedCrossRef Kroger H et al (1992) Bone densitometry of the spine and femur in children by dual-energy x-ray absorptiometry. Bone Miner 17(1):75–85PubMedCrossRef
24.
go back to reference Maynard LM et al (1998) Total-body and regional bone mineral content and areal bone mineral density in children aged 8-18 y: the Fels Longitudinal Study. Am J Clin Nutr 68(5):1111–1117PubMed Maynard LM et al (1998) Total-body and regional bone mineral content and areal bone mineral density in children aged 8-18 y: the Fels Longitudinal Study. Am J Clin Nutr 68(5):1111–1117PubMed
25.
go back to reference Júliusson PB et al (2009) Vekstkurver for norske barn. Tidsskr Nor Legeforen 129(4):281–286CrossRef Júliusson PB et al (2009) Vekstkurver for norske barn. Tidsskr Nor Legeforen 129(4):281–286CrossRef
26.
go back to reference Gilsanz V et al (2011) Age at onset of puberty predicts bone mass in young adulthood. J Pediatr 158(1):100–105, 105 e1–2PubMedCrossRef Gilsanz V et al (2011) Age at onset of puberty predicts bone mass in young adulthood. J Pediatr 158(1):100–105, 105 e1–2PubMedCrossRef
27.
go back to reference Deere K et al (2012) Habitual levels of high, but not moderate or low, impact activity are positively related to hip BMD and geometry: results from a population-based study of adolescents. J Bone Miner Res 27(9):1887–1895PubMedCentralPubMedCrossRef Deere K et al (2012) Habitual levels of high, but not moderate or low, impact activity are positively related to hip BMD and geometry: results from a population-based study of adolescents. J Bone Miner Res 27(9):1887–1895PubMedCentralPubMedCrossRef
28.
go back to reference Arabi A et al (2004) Bone mineral density by age, gender, pubertal stages, and socioeconomic status in healthy Lebanese children and adolescents. Bone 35(5):1169–1179PubMedCrossRef Arabi A et al (2004) Bone mineral density by age, gender, pubertal stages, and socioeconomic status in healthy Lebanese children and adolescents. Bone 35(5):1169–1179PubMedCrossRef
29.
go back to reference Hoiberg M et al (2007) Population-based reference values for bone mineral density in young men. Osteoporos Int 18(11):1507–1514PubMedCrossRef Hoiberg M et al (2007) Population-based reference values for bone mineral density in young men. Osteoporos Int 18(11):1507–1514PubMedCrossRef
30.
go back to reference Moretto de Oliveria MR et al (2011) Bone mineral density in healthy female adolescents according to age, bone age and pubertal breast stage. Open Orthop J 5:324–330PubMedCrossRef Moretto de Oliveria MR et al (2011) Bone mineral density in healthy female adolescents according to age, bone age and pubertal breast stage. Open Orthop J 5:324–330PubMedCrossRef
31.
go back to reference Gracia-Marco L et al (2010) Bone mass and bone metabolism markers during adolescence: the HELENA Study. Horm Res Paediatr 74(5):339–350PubMedCrossRef Gracia-Marco L et al (2010) Bone mass and bone metabolism markers during adolescence: the HELENA Study. Horm Res Paediatr 74(5):339–350PubMedCrossRef
32.
go back to reference Eleftheriou KI et al (2013) Bone structure and geometry in young men: the influence of smoking, alcohol intake and physical activity. Bone 52(1):17–26PubMedCrossRef Eleftheriou KI et al (2013) Bone structure and geometry in young men: the influence of smoking, alcohol intake and physical activity. Bone 52(1):17–26PubMedCrossRef
33.
go back to reference Fan B et al (2010) Does standardized BMD still remove differences between Hologic and GE-Lunar state-of-the-art DXA systems? Osteoporos Int 21(7):1227–1236PubMedCentralPubMedCrossRef Fan B et al (2010) Does standardized BMD still remove differences between Hologic and GE-Lunar state-of-the-art DXA systems? Osteoporos Int 21(7):1227–1236PubMedCentralPubMedCrossRef
35.
go back to reference Dimitri P et al (2012) Obesity is a risk factor for fracture in children but is protective against fracture in adults: a paradox. Bone 50(2):457–466PubMedCrossRef Dimitri P et al (2012) Obesity is a risk factor for fracture in children but is protective against fracture in adults: a paradox. Bone 50(2):457–466PubMedCrossRef
36.
37.
38.
go back to reference Javaid MK et al (2011) Growth in childhood predicts hip fracture risk in later life. Osteoporos Int 22(1):69–73PubMedCrossRef Javaid MK et al (2011) Growth in childhood predicts hip fracture risk in later life. Osteoporos Int 22(1):69–73PubMedCrossRef
39.
40.
go back to reference Bielemann RM, Martinez-Mesa J, Gigante DP (2013) Physical activity during life course and bone mass: a systematic review of methods and findings from cohort studies with young adults. BMC Musculoskelet Disord 14:77PubMedCentralPubMedCrossRef Bielemann RM, Martinez-Mesa J, Gigante DP (2013) Physical activity during life course and bone mass: a systematic review of methods and findings from cohort studies with young adults. BMC Musculoskelet Disord 14:77PubMedCentralPubMedCrossRef
41.
go back to reference Logstein B, Blekesaune A, Almas R (2013) Physical activity among Norwegian adolescents—a multilevel analysis of how place of residence is associated with health behaviour: the Young-HUNT study. Int J Equity Health 12:56PubMedCentralPubMedCrossRef Logstein B, Blekesaune A, Almas R (2013) Physical activity among Norwegian adolescents—a multilevel analysis of how place of residence is associated with health behaviour: the Young-HUNT study. Int J Equity Health 12:56PubMedCentralPubMedCrossRef
42.
go back to reference Yoon V, Maalouf NM, Sakhaee K (2012) The effects of smoking on bone metabolism. Osteoporos Int 23(8):2081–2092PubMedCrossRef Yoon V, Maalouf NM, Sakhaee K (2012) The effects of smoking on bone metabolism. Osteoporos Int 23(8):2081–2092PubMedCrossRef
43.
go back to reference Rudang R et al (2012) Smoking is associated with impaired bone mass development in young adult men: a 5-year longitudinal study. J Bone Miner Res 27(10):2189–22197PubMedCrossRef Rudang R et al (2012) Smoking is associated with impaired bone mass development in young adult men: a 5-year longitudinal study. J Bone Miner Res 27(10):2189–22197PubMedCrossRef
44.
go back to reference Wosje KS, Kalkwarf HJ (2007) Bone density in relation to alcohol intake among men and women in the United States. Osteoporos Int 18(3):391–400PubMedCrossRef Wosje KS, Kalkwarf HJ (2007) Bone density in relation to alcohol intake among men and women in the United States. Osteoporos Int 18(3):391–400PubMedCrossRef
Metadata
Title
The Tromsø Study: Fit Futures: a study of Norwegian adolescents’ lifestyle and bone health
Authors
Anne Winther
Elaine Dennison
Luai Awad Ahmed
Anne-Sofie Furberg
Guri Grimnes
Rolf Jorde
Clara Gram Gjesdal
Nina Emaus
Publication date
01-12-2014
Publisher
Springer London
Published in
Archives of Osteoporosis / Issue 1/2014
Print ISSN: 1862-3522
Electronic ISSN: 1862-3514
DOI
https://doi.org/10.1007/s11657-014-0185-0

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