Hostname: page-component-78c5997874-s2hrs Total loading time: 0 Render date: 2024-11-15T15:36:25.010Z Has data issue: false hasContentIssue false

Factors influencing bone mass accrual: focus on nutritional aspects

Published online by Cambridge University Press:  12 May 2016

H. T. Viljakainen*
Affiliation:
Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
*
Corresponding author: H. T. Viljakainen, email heli.viljakainen@helsinki.fi
Rights & Permissions [Opens in a new window]

Abstract

Until recently, much of the research exploring the role of nutrition on bone mass accrual has focused on single nutrients. Although randomised controlled trials have provided key information about the effects of calcium and vitamin D on bone, they also have limitations, e.g. generalisation, implementation of the results and long-term consequences. Human subjects do not eat single nutrients, but foods, and describing healthy food patterns for optimising bone mineral accrual is warranted. Recent advances in research suggest that the effects of whole diet are larger than those of single nutrients on bone health. Research should focus on younger age groups to identify the life-course determinants of osteoporosis during prenatal, infancy, childhood and adolescence that would help to maximise peak bone mass. Food patterns that describe the variability, quality and choices of individuals give broader insight and may provide new strategies for preventing osteoporosis.

Type
Conference on ‘Nutrition at key life stages: new findings, new approaches’
Copyright
Copyright © The Author 2016 

Bone mass accrual occurs with growth and is enhanced during pubertal growth( Reference Molgaard, Thomsen and Michaelsen 1 ). Peak bone mass is achieved between 16 and 24 years, somewhat earlier in girls than in boys. Interestingly, the timing of peak bone mass varies according to skeletal site: axial skeleton is maturated before peripheral skeleton( Reference Jackowski, Erlandson and Mirwald 2 ). A number of factors affect bone mass accretion, including health and disease as well as environmental factors such as physical activity, nutrition and their interactions.

Nutritional factors affecting bone mineral accrual are calcium, vitamin D and protein( Reference Anderson, Rondano and Holmes 3 , Reference Bailey, Martin and McKay 4 ). These are the main constituents of bone, biologically relevant compounds that are beneficial for bone growth and bone mineral accrual. Beyond them are phosphorus, potassium, other trace minerals, n-3 fatty acids, vitamins C and K, which are suggested to be meaningful but for which the scientific evidence is still to be gathered.

A 10 % increase in peak bone mass is estimated to halve the risk of an osteoporotic fracture in adult life( Reference Cummings, Black and Nevitt 5 ). Different kinds of strategy to maximise peak bone mass in children have been studied and these are considered to be primary prevention strategies against osteoporosis. The focus of the present paper is on nutritional aspects. The review will not provide comprehensive insight into the topic, but rather highlight the recent advances and discuss these and derive approaches to be used in the future to confirm the information provided in this field.

Proof of evidence

In medical science, the evidence relies on randomised controlled trials (RCT), which are able to prove causal relationships between nutrient intake and bone mineral accrual. With a delicate design, a dose-responsive effect can also be explored( Reference Viljakainen, Natri and Karkkainen 6 , Reference Ma, Huang and Yang 7 ). Highest in the hierarchy are meta-analyses( Reference Winzenberg, Shaw and Fryer 8 Reference Huncharek, Muscat and Kupelnick 10 ) and systematic reviews, which offer an overall picture of the state of evidence and may therefore modify the focus of research.

RCT still represent a simplified approach, as they typically focus on a single, specific nutrient. RCT have several limitations, such as focusing on a selected population. Especially in children and adolescents, only single centre studies are reported, and it is not clear how generalisable the results are into other populations. Another challenge is confounders and being able to control for these in the study design. A confounder such as physical activity is shown to enhance bone mineral accrual independently( Reference Baxter-Jones, Kontulainen and Faulkner 11 ), as well as acting together with calcium( Reference Specker and Binkley 12 ). Likewise, the pubertal stage may vary across age groups. The timing of accelerated growth in terms of peak height velocity occurs during the mid-pubertal stage in girls, but somewhat later in boys( Reference Molgaard, Thomsen and Michaelsen 1 , Reference Bailey, Martin and McKay 4 , Reference Ma, Huang and Yang 7 ), while weight status modifies both puberty and the bone mass accretion itself( Reference Vandewalle, Taes and Van Helvoirt 13 ). In addition, compliance with the study protocol could affect the results. A dilution effect will be marked with poor compliance and both intention-to-treat and per-protocol analysis should be reported. Without an attempt to follow compliance, an RCT should not be considered high-quality, since it is likely to give false-negative findings( Reference Kehoe, Chheda and Sahariah 14 ). The final concern is drop-outs, for which the researcher should be prepared from the outset. According to ethical guidelines, subjects are allowed to cancel their participation whenever, but researchers are eager to know the reason. This could reveal something about the acceptance of the dose or product. We are interested in long-term effects, as they mimic lifestyles that are beneficial for bone throughout the life. So far, only a few RCT have been able to answer this question and in fact many of them do not plan to look at long-term effects.

Calcium

In 2008, a meta-analysis by Huncharec et al.( Reference Huncharek, Muscat and Kupelnick 10 ) identified twenty-one original RCT and summarised their findings on the effect of dairy/calcium supplementation on bone in children. Increased dietary calcium/dairy products modestly but significantly increased total body and lumbar spine bone mineral content in children. The effect was most profound in children with low baseline intakes. More recent RCT have focused on populations with low habitual calcium intakes and these have reinforced the message: calcium supplementation enhances bone mass augmentation in children and adolescents( Reference Ma, Huang and Yang 7 , Reference Lambert, Eastell and Karnik 15 , Reference Yin, Zhang and Liu 16 ).

An elegant continuum for this was provided by a supplementation study of Gambian boys with extremely low habitual calcium intakes (<300 mg/d). Prepubertal boys were randomised to receive either a placebo or 1000 mg calcium from supplements for 12 months( Reference Ward, Cole and Laskey 17 ). The group started to follow the long-term effects 1 year after ending the trial. Of forty boys in each arm, twenty five and  twenty nine completed the 12-year follow-up. The key finding was that although the peak velocity occurred earlier in the supplemented group, the total amount of bone accrued was not affected. In line with earlier study( Reference Lambert, Eastell and Karnik 15 ), the effect of supplementation on bone was short-lived, which highlights constant adaptation to the prevailing circumstances.

Vitamin D

In 2010, a combined meta-analysis and systematic review was undertaken on the effects of vitamin D on bone mineral accrual( Reference Winzenberg and Jones 9 ). At the time, the authors identified six high-quality vitamin D RCT to be included. The challenge was that these were based on rather diverse populations in many aspects: Pakistani immigrants in Denmark, Finnish girls, Saudi Arabian teens and Chinese girls; enrolment age varied between 10 and 17 years; vitamin D doses varied from 3·3 μg/d and 350 μg week and baseline 25-hydroxy vitamin D concentration 7·3–49·5 nm/l; and only one study included boys. Changes in bone mineral accrual were measured with dual-energy absorptiometry from different sites. The results from individual studies were optimistic, but still not conclusive: the effect of vitamin D supplementation on changes in bone mineral density was without effect or positive. The review summarised that ‘vitamin D supplementation is unlikely to be beneficial for children and adolescents with normal vitamin D level,’ although the greatest effect sizes were noticed in those with higher than deficient vitamin D status (25-hydroxy vitamin D > 25 nm/l)( Reference Viljakainen, Natri and Karkkainen 6 , Reference El-Hajj Fuleihan, Nabulsi and Tamim 18 , Reference Cheng, Lyytikainen and Kroger 19 ).

Based on the meta-analysis( Reference Winzenberg and Jones 9 ) children with severe vitamin D deficiency could be optimal targets for vitamin D supplementation, as clinically relevant improvements in bone mineral accrual are anticipated. But in very poor, underprivileged societies, severe vitamin D deficiency coexists with multiple nutrient deficiencies, e.g. stunting of growth, anaemia and protein malnutrition( Reference Ekbote, Khadilkar and Chiplonkar 20 ), and focusing entirely on vitamin D may not be sufficient. Conversely, supplementing Bangladeshi women for 12 months with vitamin D solely or in combination with micronutrients improved bone mineral density in the femur similarly in both groups( Reference Islam, Shamim and Viljakainen 21 ) while effects on overall wellbeing were not evaluated.

Protein

Dietary protein intake is shown to be associated with bone health, at least in elderly subjects. Optimal linear growth requires adequate dietary intake of protein, and protein may play a role in bone mineral accrual, but the scientific evidence is scarce. The association of protein intake with bone status was evaluated in a longitudinal study including 229 German children( Reference Alexy, Remer and Manz 22 ). Growth and multiple lifestyle factors were followed annually for four preceding years. Bone and muscle parameters were assessed using peripheral quantitative computed tomography in the study. A positive association was observed between dietary intake of protein and several bone characteristics in the forearm: cortical cross-sectional area, periosteal circumference, bone mineral content, and stress and strain index. Interestingly, an inverse association was marked between potential renal acid load and bone mineral content and cortical area, which suggest that the type of protein source is also meaningful. These observations have been confirmed in more recent studies( Reference Zhang, Ma and Greenfield 23 ).

Food pattern

Until recently, much of the research exploring the role of nutrition on peak bone mass has concentrated on single nutrients. While this approach has provided data on the effects of various vitamins and minerals on bone, it also has limitations. Human subjects do not eat single nutrients, but foods, and the RCT described here do not answer the question as to which are good dietary sources of nutrients. In addition, in epidemiological studies, separating the effect of a single nutrient has proved to be problematic, and in most cases the effect of a single nutrient may be too relatively small to be detected in epidemiological studies. This gives rise to conflicting results and confusion for policy-makers. Food or dietary pattern-oriented studies avoid some of the fundamental challenges of studies assessing the role of single nutrients. Such studies also provide practical information for the public and may be more directly utilised when revising dietary guidelines. Dietary pattern is a rather stable measurement compared with the day-to-day variation in certain nutrient intakes. Approaches that apply foods or dietary patterns could teach us novel things about bone health.

An example of the approach is milk. Milk contains over thirty nutrients, including calcium, phosphorus, protein, magnesium and potassium, that could be considered as bone agents, and these may have additive or synergistic effects on bone. What evidence is there? A number of studies have looked at the association between milk consumption and bone mineral accrual. One of the earliest RCT was performed in Sheffield, UK( Reference Cadogan, Eastell and Jones 24 ). A total of 82 girls aged 12 years took part in this RCT. For randomly chosen girls, milk was delivered at home. At baseline, the intake of milk was relatively low, only 150 ml/d, but it increased by 300 ml during the 18-month trial. Bone mineral density increased in both groups, but more in the milk group: 9·6 v. 8·5 %. Serum concentrations of insulin-like growth factor I increased more in the milk group compared with the control group (35 v. 25 %)( Reference Cadogan, Eastell and Jones 24 ).

Similarly, in a prospective study, milk intake was associated with higher axial growth in a 6-year follow-up of American girls( Reference Berkey, Colditz and Rockett 25 ). Further evidence from a Copenhagen study cohort of 17-year old boys and girls suggested that bone mineral accretion is associated with both total protein and milk protein intakes, but less so with meat protein intake( Reference Budek, Hoppe and Ingstrup 26 ), which implies that milk is an optimal protein source and synergistic effects are likely to occur. How about elimination of milk from the diet? In a Polish case–control study of 5–20-year-old children and adolescents, milk allergy was associated with an increased risk of fractures in girls( Reference Konstantynowicz, Nguyen and Kaczmarski 27 ). Similarly, in a New Zealand study, milk-avoiding children (n 50) had a higher incidence of fractures (twenty fractures) than a birth cohort of 1000 children from the same area (eight fractures)( Reference Goulding, Rockell and Black 28 ). In addition, higher hip fracture incidence has been reported in elderly subjects consuming at most one portion of milk per week in the Framingham Osteoporosis Study( Reference Sahni, Mangano and Tucker 29 ). The decrease in hip fracture risk was 40 % in the milk-favouring group; this is a major effect that could not be achieved with any single nutrient.

Longitudinal studies with dietary assessment contain data on habitual use of foods and are able to create food patterns that describe the variability, quality and choices of individuals. Compared with nutrient intakes, this gives broader insight and allows new strategies for preventing osteoporosis. There are several ongoing prospective studies, e.g. the Framingham Osteoporosis Study, Women's Health Initiative, Canadian Multicentre Osteoporosis study, Kuopio Osteoporosis Study, but these have focused on older populations and are considered as secondary prevention studies for osteoporosis. The findings from the Canadian Multicentre Osteoporosis study have been appealing: a diet rich in vegetables and fruits, evidently a nutrient-dense diet, prevents bone loss and low-energy fractures in Canadian women, but an energy-dense-nutrient-poor diet seems not to accelerate it( Reference Langsetmo, Hanley and Prior 30 ). Future research should focus on younger age groups to identify the life-course determinants for osteoporosis during prenatal, infancy, childhood and adolescence that would help to maximise peak bone mass. Diet and physical activity are the modifiable factors, but being able to describe these in more detail and the opposite as well, being able to identify lifestyle risk factors for impaired bone mineral accrual is important. In addition, the interaction of lifestyle factors with genetic factors has remained unclear. This would give us tools to recognise subjects at risk more easily and readily, and furthermore to be able to educate them (Fig. 1).

Fig. 1. Life-course determinants of osteoporosis and future perspectives.

Conclusion

Bone mass accrual is affected by multiple factors, of which nutrition is a modifiable one. Recent RCT have confirmed the effects of single nutrients on bone health, but the effects may be too small to be detected in epidemiological studies. Food or dietary pattern is a rather stable measurement compared with day-to-day variation in certain nutrient intakes. Typically dietary patterns evolve during growth, but remain stable from late adolescence. The effects of a whole diet are larger compared with a single nutrient. Research on recognising dietary patterns that benefit bone mineral accrual is warranted side-by-side with RCT to broaden our understanding of nutrition and bone health. We are interested in long-term effects, and cohorts with longitudinal follow-up are needed to provide real-life data on nutrition and bone health.

Financial support

The work was supported by the Academy of Finland; Sigrid Jusélius Foundation; and Päivikki and Sakari Sohlberg Foundation.

Conflicts of interest

None.

Authorship

The author had sole responsibility for all aspects of preparation of this paper.

References

1. Molgaard, C, Thomsen, BL & Michaelsen, KF (1999) Whole body bone mineral accretion in healthy children and adolescents. Arch Dis Child 81, 1015.Google Scholar
2. Jackowski, SA, Erlandson, MC, Mirwald, RL et al. (2011) Effect of maturational timing on bone mineral content accrual from childhood to adulthood: evidence from 15 years of longitudinal data. Bone 48, 11781185.CrossRefGoogle Scholar
3. Anderson, JJ, Rondano, P & Holmes, A (1996) Roles of diet and physical activity in the prevention of osteoporosis. Scand J Rheumatol Suppl 103, 6574.Google Scholar
4. Bailey, DA, Martin, AD, McKay, HA et al. (2000) Calcium accretion in girls and boys during puberty: a longitudinal analysis. J Bone Miner Res 15, 22452250.CrossRefGoogle ScholarPubMed
5. Cummings, SR, Black, DM, Nevitt, MC et al. (1993) Bone density at various sites for prediction of hip fractures. The Study of Osteoporotic Fractures Research Group. Lancet 341, 7275.Google Scholar
6. Viljakainen, HT, Natri, AM, Karkkainen, M et al. (2006) A positive dose-response effect of vitamin D supplementation on site-specific bone mineral augmentation in adolescent girls: a double-blinded randomized placebo-controlled 1-year intervention. J Bone Miner Res 21, 836844.Google Scholar
7. Ma, XM, Huang, ZW, Yang, XG et al. (2014) Calcium supplementation and bone mineral accretion in Chinese adolescents aged 12–14 years: a 12-month, dose-response, randomised intervention trial. Br J Nutr 112, 15101520.Google Scholar
8. Winzenberg, T, Shaw, K, Fryer, J et al. (2006) Effects of calcium supplementation on bone density in healthy children: meta-analysis of randomised controlled trials. BMJ 333, 775.CrossRefGoogle Scholar
9. Winzenberg, T & Jones, G (2013) Vitamin D and bone health in childhood and adolescence. Calcif Tissue Int 92, 140150.Google Scholar
10. Huncharek, M, Muscat, J & Kupelnick, B (2008) Dairy products, dietary calcium and vitamin D intake as risk factors for prostate cancer: a meta-analysis of 26,769 cases from 45 observational studies. Nutr Cancer 60, 421441.Google Scholar
11. Baxter-Jones, AD, Kontulainen, SA, Faulkner, RA et al. (2008) A longitudinal study of the relationship of physical activity to bone mineral accrual from adolescence to young adulthood. Bone 43, 11011107.Google Scholar
12. Specker, B & Binkley, T (2003) Randomized trial of physical activity and calcium supplementation on bone mineral content in 3- to 5-year-old children. J Bone Miner Res 18, 885892.CrossRefGoogle Scholar
13. Vandewalle, S, Taes, Y, Van Helvoirt, M et al. (2013) Bone size and bone strength are increased in obese male adolescents. J Clin Endocrinol Metab 98, 30193028.Google Scholar
14. Kehoe, SH, Chheda, PS, Sahariah, SA et al. (2009) Reporting of participant compliance in randomized controlled trials of nutrition supplements during pregnancy. Matern Child Nutr 5, 97103.Google Scholar
15. Lambert, HL, Eastell, R, Karnik, K et al. (2008) Calcium supplementation and bone mineral accretion in adolescent girls: an 18-mo randomized controlled trial with 2-y follow-up. Am J Clin Nutr 87, 455462.Google Scholar
16. Yin, J, Zhang, Q, Liu, A et al. (2010) Calcium supplementation for 2 years improves bone mineral accretion and lean body mass in Chinese adolescents. Asia Pac J Clin Nutr 19, 152160.Google Scholar
17. Ward, KA, Cole, TJ, Laskey, MA et al. (2014) The effect of prepubertal calcium carbonate supplementation on skeletal development in Gambian boys-a 12-year follow-up study. J Clin Endocrinol Metab 99, 31693176.CrossRefGoogle ScholarPubMed
18. El-Hajj Fuleihan, G, Nabulsi, M, Tamim, H et al. (2006) Effect of vitamin D replacement on musculoskeletal parameters in school children: a randomized controlled trial. J Clin Endocrinol Metab 91, 405412.Google Scholar
19. Cheng, S, Lyytikainen, A, Kroger, H et al. (2005) Effects of calcium, dairy product, and vitamin D supplementation on bone mass accrual and body composition in 10–12-y-old girls: a 2-y randomized trial. Am J Clin Nutr 82, 11151126; quiz 1147–8.Google Scholar
20. Ekbote, VH, Khadilkar, AV, Chiplonkar, SA et al. (2011) Determinants of bone mineral content and bone area in Indian preschool children. J Bone Miner Metab 29, 334341.CrossRefGoogle ScholarPubMed
21. Islam, MZ, Shamim, AA, Viljakainen, HT et al. (2010) Effect of vitamin D, calcium and multiple micronutrient supplementation on vitamin D and bone status in Bangladeshi premenopausal garment factory workers with hypovitaminosis D: a double-blinded, randomised, placebo-controlled 1-year intervention. Br J Nutr 104, 241247.Google Scholar
22. Alexy, U, Remer, T, Manz, F et al. (2005) Long-term protein intake and dietary potential renal acid load are associated with bone modeling and remodeling at the proximal radius in healthy children. Am J Clin Nutr 82, 11071114.CrossRefGoogle ScholarPubMed
23. Zhang, Q, Ma, G, Greenfield, H et al. (2010) The association between dietary protein intake and bone mass accretion in pubertal girls with low calcium intakes. Br J Nutr 103, 714723.CrossRefGoogle ScholarPubMed
24. Cadogan, J, Eastell, R, Jones, N et al. (1997) Milk intake and bone mineral acquisition in adolescent girls: randomised, controlled intervention trial. BMJ 315, 12551260.Google Scholar
25. Berkey, CS, Colditz, GA, Rockett, HR et al. (2009) Dairy consumption and female height growth: prospective cohort study. Cancer Epidemiol Biomarkers Prev 18, 18811887.Google Scholar
26. Budek, AZ, Hoppe, C, Ingstrup, H et al. (2007) Dietary protein intake and bone mineral content in adolescents-The Copenhagen Cohort Study. Osteoporos Int 18, 16611667.CrossRefGoogle ScholarPubMed
27. Konstantynowicz, J, Nguyen, TV, Kaczmarski, M et al. (2007) Fractures during growth: potential role of a milk-free diet. Osteoporos Int 18, 16011607.Google Scholar
28. Goulding, A, Rockell, JE, Black, RE et al. (2004) Children who avoid drinking cow's milk are at increased risk for prepubertal bone fractures. J Am Diet Assoc 104, 250253.Google Scholar
29. Sahni, S, Mangano, KM, Tucker, KL et al. (2014) Protective association of milk intake on the risk of hip fracture: results from the Framingham Original Cohort. J Bone Miner Res 29, 17561762.Google Scholar
30. Langsetmo, L, Hanley, DA, Prior, JC et al. (2011) Dietary patterns and incident low-trauma fractures in postmenopausal women and men aged50 y: a population-based cohort study. Am J Clin Nutr 93, 192199.Google Scholar
Figure 0

Fig. 1. Life-course determinants of osteoporosis and future perspectives.