Protein intake

Effects on bone mineral density and the rate of bone loss in elderly women

Prema B. Rapuri, John Christopher G. Gallagher, Vera Haynatzka

Research output: Contribution to journalArticle

72 Citations (Scopus)

Abstract

Background: The role of dietary protein in bone metabolism is controversial. Objective: We investigated the associations of dietary protein intake with baseline bone mineral density (BMD) and the rate of bone loss over 3 y in postmenopausal elderly women. Design: Women aged 65-77 y (n = 489) were enrolled in an osteoporosis intervention trial. We studied the associations of protein intake as a percentage of energy with baseline BMD and the rate of bone loss in 96 women in the placebo group (n = 96). We also examined the effect of the interaction of dietary calcium intake with protein intake on BMD. Results: In the cross-sectional study, a higher intake of protein was associated with higher BMD. BMD was significantly higher (P <0.05) in the spine (7%). midradius (6%), and total body (5%) in subjects in the highest quartile of protein intake than in those in the lower 2 quartiles. This positive association was seen in women with calcium intakes >408 mg/d. There was no significant effect of protein intake on hip BMD. In the longitudinal study of the placebo group, there was no association between protein intake and the rate of bone loss. Conclusions: The highest quartile of protein intake (x̄: 72 g/d) was associated with higher BMD in elderly women at baseline only when the calcium intake exceeded 408 mg/d. In the longitudinal study, no association was seen between protein intake and the rate of bone loss, perhaps because the sample size was too small or the follow-up period of 3 y was not long enough to detect changes.

Original languageEnglish
Pages (from-to)1517-1525
Number of pages9
JournalAmerican Journal of Clinical Nutrition
Volume77
Issue number6
StatePublished - Jun 2003
Externally publishedYes

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bone density
protein intake
Bone Density
bones
Bone and Bones
Proteins
Dietary Proteins
longitudinal studies
Longitudinal Studies
placebos
dietary protein
Placebos
Pelvic Bones
Dietary Calcium
calcium
bone metabolism
osteoporosis
Sample Size
Osteoporosis
hips

All Science Journal Classification (ASJC) codes

  • Medicine (miscellaneous)
  • Food Science

Cite this

Protein intake : Effects on bone mineral density and the rate of bone loss in elderly women. / Rapuri, Prema B.; Gallagher, John Christopher G.; Haynatzka, Vera.

In: American Journal of Clinical Nutrition, Vol. 77, No. 6, 06.2003, p. 1517-1525.

Research output: Contribution to journalArticle

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abstract = "Background: The role of dietary protein in bone metabolism is controversial. Objective: We investigated the associations of dietary protein intake with baseline bone mineral density (BMD) and the rate of bone loss over 3 y in postmenopausal elderly women. Design: Women aged 65-77 y (n = 489) were enrolled in an osteoporosis intervention trial. We studied the associations of protein intake as a percentage of energy with baseline BMD and the rate of bone loss in 96 women in the placebo group (n = 96). We also examined the effect of the interaction of dietary calcium intake with protein intake on BMD. Results: In the cross-sectional study, a higher intake of protein was associated with higher BMD. BMD was significantly higher (P <0.05) in the spine (7{\%}). midradius (6{\%}), and total body (5{\%}) in subjects in the highest quartile of protein intake than in those in the lower 2 quartiles. This positive association was seen in women with calcium intakes >408 mg/d. There was no significant effect of protein intake on hip BMD. In the longitudinal study of the placebo group, there was no association between protein intake and the rate of bone loss. Conclusions: The highest quartile of protein intake (x̄: 72 g/d) was associated with higher BMD in elderly women at baseline only when the calcium intake exceeded 408 mg/d. In the longitudinal study, no association was seen between protein intake and the rate of bone loss, perhaps because the sample size was too small or the follow-up period of 3 y was not long enough to detect changes.",
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