The DOI matches its Crossref record; 55 of the 56 references it cites were found in a registry or an index.
Protein consumption is an important predictor of lower limb bone mass in elderly women
Open accessAbstract
Background The effect of protein intake on bone density is uncertain, and evidence exists for beneficial effects of both low and high protein intakes. Objective The objective was to study the relation between protein consumption and bone mass in elderly women with allowance for other lifestyle factors affecting bone metabolism. Design We conducted a cross-sectional and longitudinal study of a population-based sample of 1077 women aged 75 +/- 3 y. At baseline, protein consumption was measured with a food-frequency questionnaire, and bone mass and structure were measured by using quantitative ultrasound of the heel. One year later, hip bone mineral density (BMD) was measured by using dual-energy X-ray absorptiometry. Results Subjects consumed a mean (+/-SD) of 80.5 +/- 27.8 g protein/d (1.19 +/- 0.44 g protein/kg body wt). Regression analysis showed a positive correlation between protein intake and qualitative ultrasound of the heel and BMD after adjustment for age, body mass index, and other nutrients. The dose-response effect was best characterized by protein consumption expressed in tertiles, such that subjects in the lowest tertile (<66 g protein/d) had significantly lower qualitative ultrasound of the heel (1.3%) and hip BMD (2.6%) than did the subjects in the higher tertiles (>87 g protein/d). Conclusion These data suggest that protein intakes for elderly women above current recommendations may be necessary to optimize bone mass.
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“In older people with osteoporosis, findings from a systematic review, 88 several prospective cohort studies, 89,90 and a randomized, controlled trial 91 (RCT) all found higher bone mineral density when protein intake was at levels higher than 0.8 g/kg BW/d or was 24% of total energy intake (Table 4).”
From Evidence-Based Recommendations for Optimal Dietary Protein Intake in Older People: A Position Paper From the PROT-AGE Study Group (2013) · cites this paper as [89]
In the citing paper
“Devine 2005 89 >0.84 g/kg BW/d vs <0.84 g/kg BW/d 1-year prospective cohort study showing higher BMD with higher protein intake”
From Evidence-Based Recommendations for Optimal Dietary Protein Intake in Older People: A Position Paper From the PROT-AGE Study Group (2013) · cites this paper as Devine 2005
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Cites
Dietary supplementation in elderly patients with fractured neck of the femur
Delmi, M., Rapin, C. H., Bengoa, J., Bonjour, J.-P., Vasey, H., & Delmas, P. D. (1990) · The Lancet · doi:10.1016/0140-6736(90)91073-j · Cited by 825
Anorexia of aging: physiologic and pathologic
Morley, J. (1997) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/66.4.760 · Cited by 761
Hodge, A. M., Patterson, A. J., Brown, W. J., Ireland, P. D., & Giles, G. G. (2000) · Australian and New Zealand Journal of Public Health · doi:10.1111/j.1467-842x.2000.tb00520.x · Cited by 632
Cadogan, J., Eastell, R., Jones, N., & Barker, M. E. (1997) · BMJ · doi:10.1136/bmj.315.7118.1255 · Cited by 623
Schurch, M.-A., Rizzoli, R., Slosman, D., Vadas, L., Vergnaud, P., & Bonjour, J.-P. (1998) · Annals of Internal Medicine · doi:10.7326/0003-4819-128-10-199805150-00002 · Cited by 572
Risk factors for hip fracture in european women: The MEDOS study
Johnell, O., Gullberg, B., Kanis, J. А., Allander, E., Elffors, L., Dequeker, J., Dilşen, G., Gennari, C., Vaz, L. A., Lyritis, G. P., et al. (1995) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.5650101125 · Cited by 562
Frassetto, L. A., Todd, K., Morris, R. C., & Sebastián, A. (1998) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/68.3.576 · Cited by 551
Effect of Dietary Protein on Bone Loss in Elderly Men and Women: The Framingham Osteoporosis Study
Hannan, M. T., Tucker, K. L., Dawson-Hughes, B., Cupples, L. A., Felson, D. T., & Kiel, D. P. (2000) · Journal of Bone and Mineral Research · doi:10.1359/jbmr.2000.15.12.2504 · Cited by 536
Nutrition in Bone Health Revisited: A Story Beyond Calcium
Ilich, J. Z., & Kerstetter, J. E. (2000) · Journal of the American College of Nutrition · doi:10.1080/07315724.2000.10718070 · Cited by 510
Ireland, P. D., Jolley, D., Giles, G. G., O’Dea, K., Powles, J. W., Rutishauser, I. H. E., Wahlqvist, M. L., & Williams, J. W. (1994) · PubMed · Cited by 445
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Prince, R. L. (2014) · CRC Press eBooks · doi:10.1201/b16906-4
Self-citationProtein, Resistance Training, and Women
Anderson, D., & Seher, C. L. (2012) · CRC Press eBooks · doi:10.1201/b11928-8
Marcus, R. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-391884-0.00045-7
Nonmedical treatment of osteoporosis
Gielen, E., Laurent, M. R., Milisen, K., & Boonen, S. (2013) · doi:10.2217/ebo.12.73
Targeting miRNAs in Osteoblast Differentiation under Malnutrition Conditions
Wang, Y., He, R., & Zhong, L. (2018) · Journal of Biosciences and Medicines · doi:10.4236/jbm.2018.65012
(2009) · Wiley eBooks · doi:10.1002/9781444317176.refs
(2006) · CRC Press eBooks · doi:10.1201/9781420004311.ch5
(2006) · Current Opinion in Endocrinology & Diabetes · doi:10.1097/01.med.0000202323.44809.4f
Øyen, J. (2011) · NORA - Norwegian Open Research Archives
Gęstość mineralna kości oraz sposób żywienia i stan odżywienia studentek i studentów fizjoterapii
Kopiczko, A., & Cieplińska, J. (2014) · Folia Pomeranae Universitatis Technologiae Stetinensis Agricultura Alimentaria Piscaria et Zootechnica
Metadata
- Authors
- Devine, A., Dick, I. M., Islam, A. F., Dhaliwal, S. S., & Prince, R. L.
- Affiliations
- Edith Cowan University (AU)
- Corresponding author
- Devine, Amanda
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2005-06
- Volume
- 81
- Issue
- 6
- Pages
- 1423-1428
- ISSN
- 0002-9165 (ISSN-L)
- OpenAlex
- W1960408684
- Cited by
- 110
- References
- 56
- Citations by year
- 2025: 1 · 2023: 2 · 2022: 2 · 2021: 1 · 2020: 3 · 2019: 4 · 2018: 3 · 2017: 4 · 2016: 6 · 2015: 5 · 2014: 10 · 2013: 8 · 2012: 11
- FWCI
- 8.41
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- American Journal of Clinical Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Australasian Journal of Paramedicine (submittedVersion)
- UWA Profiles and Research Repository (UWA) (submittedVersion)
- Swinburne figshare (Swinburne University of Technology) (submittedVersion)
- Funders
- Healthway (254627)
- Medical Research Council
- Topics
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Bone health and osteoporosis research
- Health Sciences › Medicine › Physiology (medical) › Nutrition and Health in Aging
- Health Sciences › Nursing › Nutrition and Dietetics › Muscle metabolism and nutrition
- Keywords
- protein intake, bone mass, bone mineral density, older women, hip bone density, bone metabolism, dose-response relationship
- MeSH terms
- Aged, Aging, Analysis of Variance, Bone and Bones, Calcaneus, Cross-Sectional Studies, Diet, Dietary Proteins, Dose-Response Relationship, Drug, Female, Humans, Longitudinal Studies, Nutritional Requirements, Pelvic Bones, Predictive Value of Tests, Surveys and Questionnaires, Ultrasonography, Cohort Studies, Absorptiometry, Photon, Bone Density, Osteoporosis, Postmenopausal, Body Mass Index
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