Influence of External Factors on Skeletal Growth in Youth

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. Identifier: NCT00633828
Recruitment Status : Active, not recruiting
First Posted : March 12, 2008
Last Update Posted : September 29, 2017
Information provided by (Responsible Party):
Region Skane

March 4, 2008
March 12, 2008
September 29, 2017
August 1999
December 2018   (Final data collection date for primary outcome measure)
BMD total body, femoral neck and lumbar spine (L2-L4) measured by Dual Energy X Ray Absorbtiometry [ Time Frame: 15 years ]
Bone mass, bone structure, muscle strength and fractures [ Time Frame: 10 years ]
Complete list of historical versions of study NCT00633828 on Archive Site
  • Bone mineral content (BMC) measured by DEXA and PQCT [ Time Frame: 15 years ]
  • Bone mineral density (aBMD) measured by DEXA, ultrasound and PQCT [ Time Frame: 15 years ]
  • Volumetric bone density (vBMD) measured by DEXA and PQCT [ Time Frame: 15 years ]
  • Trabecular BMD measured by PQCT [ Time Frame: 15 years ]
  • Cortical BMD measured by PQCT [ Time Frame: 15 years ]
  • Periosteal diameter measured by DEXA andPQCT [ Time Frame: 15 years ]
  • Medullary diameter measured by PQCT [ Time Frame: 15 years ]
  • Cross sectional area (CSA) measured by PQCT [ Time Frame: 15 years ]
  • Hip strength analysis (HSA) measured by DEXA [ Time Frame: 15 years ]
  • Speed of sound (SOS) measured by quantitative ultrasound [ Time Frame: 15 years ]
  • Broadband attenuation (BUA) measured by quantitative ultrasound [ Time Frame: 15 years ]
  • Isodynamic muscle strength in thigh (knee extension and knee flexion, functional results of physiotherapy tests and CYBEX apparatus [ Time Frame: 15 years ]
  • Fracture incidence determined through the radiographica archives in Malmö [ Time Frame: 15 years ]
  • DXA derived fat content and lean body mass from total body scan [ Time Frame: 15 years ]
  • Cardiovascular risk factors [ Time Frame: 15 years ]

    Risk factors measured as

    • patients movement over 4 days measured by Accelerometer
    • blood pressure
    • heart volume by ultrasound
    • lung function monitored by spirometer
    • max VO2 from bicycle test
fat mass, cardiovascular risk factors [ Time Frame: 10 years ]
Not Provided
Not Provided
Influence of External Factors on Skeletal Growth in Youth
Determinants for Peak Bone Mass, Skeletal Architecture, Fractures, Adipositas and Cardiovascular Risk Factors During Growth and Adulthood


Prospective study regulation in bone mass, size, architecture, cortical, trabecular bone, soft tissues and risk factors for cardiovascular disease at growth. Determine regulation by environmental factors. Evaluate how training affects the skeleton, soft tissues and cardiovascular risk factors during growth Material/Methods: (i) 500 children in one RCT´s with or without intervention with physical activity (daily scholl physical education) from school start to college. Annual evaluations


The investigators provide increased understanding of the pathophysiology of osteoporosis by determine the mineralization, size- and architecture development during growth and adulthood. Evaluate if intervention program with exercise increase bone strength, muscle mass and reduce fatness and risk factor for cardiovascular disease.


Skeletal growth and the age related bone loss determine who will get osteoporosis (and fractures), but not only bone mass, also skeletal architecture and bone quality influence bone strength. Regulation of the traits differs where hormones, genetics and environmental factors continuously influence the development with different effect during different ages. It is thus imperative to determine the regulators of the traits and evaluate if these can be modified during growth.


Study regulation of bone mass, size, architecture, cortical, trabecular, axial and appendicular bone and soft tissue during growth and aging; evaluate risk factors for cardiovascular disease; determine importance of environmental factors and hereditary factors.

Study Design/Method

Bunkeflo Cohort:

Prospective, controlled exercise intervention study annually following skeletal development in 500children from age 7.


By evaluating skeletal mass/architecture separate we will increase the understanding of the pathophysiology of osteoporosis. The intervention study provide Evidence Based Information as regard the importance of physical activity during growth. The presented Strength Index, where we combine bone mass and skeletal architecture, may predict fractures better than only bone mass.

Determinants for Peak Bone Mass, Skeletal Architecture, Fractures, Adipositas and Cardiovascular Risk Factors During Growth and Adulthood

Aim of the project:

In the THE BUNKEFLO COHORT we determine if the growing skeleton, fat mass and risk factors for cardiovascular disease irreversible can be influenced by environmental influences as exercise and disease.


Bone mass, cortical thickness and bone geometry independently contribute to bone strength, all regulated differently. Thus, the regulation must therefore be trait specific studied as to understand the pathophysiology of osteoporosis as osteoporosis may partly be the result of deficits occurring during growth. We must also better discriminate the different traits building the skeleton. Areal bone mineral density (aBMD), measured by dual X-ray absorptiometry (DXA) the clinically used estimation of bone mass, is an estimate only adjusted for the measured area, not the third dimension (the depth), but aBMD is often uncritically used as a measurement for the "true density". As to predict future fragility fracture, aBMD is acceptable, but for the understanding of reduced bone strength, we must separate the estimation into bone mass, the amount of bone within the skeletal envelope, bone size and skeletal structure (architecture) as these traits are independent associated with fractures.

Preliminary results from our group:

Bone loss by ageing is partly compensated by increased bone size, partly preserving bone strength. This is of relevance as a Strength Index, taking both bone size and bone mass into account, probably predict future fractures better than bone mass. Two years daily school gymnastics enhanced bone mass and bone size, reduce the fatness and cardiovascular risk factors for disease. Exercise increase bone mass also after puberty but the benefit is lost with cessation of exercise. In spite of this have elderly former active individuals less fractures than inactive people.

Research Questions Following Our Hypothesis:

  1. Will separate evaluation of skeletal growth in bone mineral acquisition and skeletal architecture identify different pathogenetic risk cohorts for fracture?
  2. Could an exercise intervention program within a school affect the skeletal growth, fat content soft and muscle strength in growing children and reduce risk for cardiovascular disease? (BUNKEFLO STUDY)?

Methods: Skeletal Evaluation: Dual X-ray absorptiometry (DXA, Lunar DPX-L and Lunar Pixi): Quantitative bone mass (aBMD) total body, femoral neck, lumbar spine and regional. Special software determines cortical width, medullar width, cortical density and trabecular density in mid femur. vBMD and skeletal size can be evaluated from existing measurement in femoral neck and third lumbar vertebrae from DXA scan by the method described by Carter. Ultrasound (Lunar Achilles): Qualitative bone mass (aBMD) and bone width calcaneus. Peripheral computed tomography (pQCT): Bone mass, bone size and skeletal structure. Finite element analyses: skeletal strength. Digital radiographs of the hand: Bone size and cortical thickness. Soft tissue Evaluation: DXA (Lunar DPX-L): Quantitative lean body mass and fat mass. Peripheral computed tomography (pQCT): Quantitative lean body mass and fat mass. Muscle function: Cybex apparatus: Qualitative muscle strength in lower extremities. Balance plate and physiotherapists test: Qualitative muscle capacity. Anthropometric evaluation: Electronic scale: Body weight. Holstein Stadiometer: Sitting and standing height. Harpender stadiometer: Segmental extremity length and width. Pubertal status: Tanner. Environmental Evaluation: Questionnaire: life-style, exercise history, nutrition, and hereditary factors. Bone metabolism: Bone formation: Alkaline phosphatase (ALP), isoenzyme of bone specific ALP, osteocalcin (bone GLA protein), procollagen 1 C-terminal propeptic (P1CP). Bone resorption: Hydroxyproline, pyridinoline, deoxypyridinoline, carboxytelopeptid region (ICTP) and aminotelopeptid region (NTX) in blood and urine. Genetics: Polymorphism of Vitamin D receptor gene (VDR), oestrogen receptor gene (ER), androgen receptor gene (AR), human growth hormone gene (GH 1), collagen 1 A gene (COLL1A) and additional bone related genes that will occur the next years. Hormones: Growth hormone, IGF-1, testosterone, estradiol, luteinisating hormone, follicle stimulating hormone, sex hormone binding globulin (SHBG), androstenedione, dehydroepiandrostenedione (DHEAS). Fractures: The fractures are registered in the files at the Dept. of Radiology, MAS where referrals, reports and films are saved since last century. Questionnaire: Epidemiologic fracture screening. Physiologic Evaluation: Blood pressure (rest): Upper right arm. Bicycle test: Max working capacity by evaluating VO2 MAX. and CO2 production in breath. Bio impedance: Fat percent in total body. Spirometry: Static and dynamic lung function measured by the IOS-method. Ultrasound: Volume and wall thickness of heart. Accelerometer: Number of steps during four days is measured within this minicomputer fastened at the wrist belt (evaluate the objective activity level). Blood Evaluation: Lipid profile and glucose - risk factors for cardiovascular disease and metabolic syndrome.

Probands - Work plan:

A. Determinants of Peak Bone Mass/Size/Architecture, Soft Tissue Development and Risk Factors for Cardiovascular disease During Growth Question: Regulation affecting growth and peak bone mass? Can increased exercise increase bone mass, reduce fatness and risk factors for cardiovascular disease? Could individuals with high risk for fractures be predicted already in early ages? Hypothesis: Changes in environmental factors can increase peak bone mass, reduce fatness and risk factors for future cardiovascular disease. Bone mass "track" so that we could already in young years identify individuals with high risk for fractures.

Study cohorts: a. THE BUNKEFLO STUDY: N=500, aged 7, 8, 9, 12 and 15 years at baseline. In the RCT part of the study: n=310 aged 7-8 at baseline. Half with physical activity and health education as intervention, half controls, all annually followed during primary school. Several other scientific institutions from the University of Lund participate as Department of Physiotherapy, Clinical Physiology, Nutritional, Paediatrics, Child Psychiatry, Teacher Training College, and Dental School, all with separate projects within the RCT. Time plan: Baseline measurements in 1999-2000, with annual follow-up measurements throughout the Swedish nine-year primary school. After that, one follow-up during the last year of secondary school (12th grade), and one follow-up at age 23-25.


The studies will increase the understanding of the pathophysiology of osteoporosis. The Strength Index should possibly replace a bone mass measurement in the fracture risk assessment. The intervention studies will provide Evidence Based Information for the importance of exercise.

Not Applicable
Allocation: Non-Randomized
Intervention Model: Single Group Assignment
Masking: None (Open Label)
Primary Purpose: Prevention
Behavioral: Increased physical education in primary school (daily)
Increased physical education in primary school, 40 minutes per day
  • Experimental: A Intervention group
    Increased physical education in primary school (daily)
    Intervention: Behavioral: Increased physical education in primary school (daily)
  • No Intervention: B Control group
    Normal physical education in primary school (typically once per week)

*   Includes publications given by the data provider as well as publications identified by Identifier (NCT Number) in Medline.
Active, not recruiting
Same as current
December 2018
December 2018   (Final data collection date for primary outcome measure)

Inclusion Criteria:

  • All included within the classes, population based cohort

Exclusion Criteria:

Sexes Eligible for Study: All
6 Years to 16 Years   (Child)
Contact information is only displayed when the study is recruiting subjects
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Region Skane
Region Skane
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Principal Investigator: Magnus Karlsson, M.D., Ph.D. Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences and Orthopaedic Surgery Lund University, Skåne Universíty Hospital
Region Skane
September 2017

ICMJE     Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP