Variation in bone mineral content and estimated body fat in young adult females

J. C. Bunt, Scott B Going, Timothy G Lohman, C. H. Heinrich, C. D. Perry, R. W. Pamenter

Research output: Contribution to journalArticle

33 Citations (Scopus)

Abstract

This study was designed to determine whether variability in bone mineral content (BMC) at the lumbar vertebrae (L2-4), radius shaft (RS), femoral neck, and distal radius can significantly contribute to the variability observed in body density (Db) among 89 females (age = 25.1 ± 5.3 yr) of varying activity levels and menstrual status. Theoretical differences in Db were calculated at ±1 and ±2 standard deviations of BMC (SD(BMC)) for the population as well as for the subgroups: eumenorrheic inactive controls (C), recreational runners (RR), collegiate runners (CR), body builders (BB), swimmers (S), and amenorrheic runners (AR). Multiple regression to predict Db yielded significant coefficients (b) for BMC at L2-4 (b = 0.0190, P < 0.001) and RS (b = 0.0425, P < 0.01) when added separately to the sum of four skinfolds (subscapula, abdomen, thigh, calf). The differences in % BF(HW) at ±1 and ±2 SD(BMC) for the sample mean for RS(BMC) were ±1.0% and ±2.0%, respectively. Variability in L2-4 contributed differences of ±1.3% and ±2.6% at ±1 and ±2 SD(BMC). The subgroup % BF(HW) differences (due to L2-4 and RS combined) ranged from an average overestimation of 1.3% for the AR to an average underestimation of 1.4% for the BB. Estimated mean errors for remaining groups were ≤ 0.5%. Individual differences ranged from a 3.3% underestimation (BB) to a 3.0% overestimation (AR). It is concluded that variability in BMC among young adult females may significantly contribute to variability in Db, independent of fatness. While the impact of high or low bone mineral content on %BF(HW) is modest for most individuals, those athletes with extremely high or low BMC values may require adjustments in the equations used to convert Db to %BF. It is suggested that correlations between Db and total BMC (or BM density) be evaluated in a similar manner as presented here before stronger conclusions can be made concerning the impact of bone on estimations of %BF.

Original languageEnglish (US)
Pages (from-to)564-569
Number of pages6
JournalMedicine and Science in Sports and Exercise
Volume22
Issue number5
StatePublished - 1990

Fingerprint

Bone Density
Adipose Tissue
Young Adult
Social Adjustment
Lumbar Vertebrae
Femur Neck
Thigh
Individuality
Athletes
Abdomen
Bone and Bones
Population

Keywords

  • AMENORRHEIC ATHLETES
  • BODY COMPOSITION
  • BODY DENSITY
  • HYDROSTATIC WEIGHING
  • PHOTON ABSORPTIOMETRY

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Physical Therapy, Sports Therapy and Rehabilitation
  • Orthopedics and Sports Medicine

Cite this

Variation in bone mineral content and estimated body fat in young adult females. / Bunt, J. C.; Going, Scott B; Lohman, Timothy G; Heinrich, C. H.; Perry, C. D.; Pamenter, R. W.

In: Medicine and Science in Sports and Exercise, Vol. 22, No. 5, 1990, p. 564-569.

Research output: Contribution to journalArticle

Bunt, J. C. ; Going, Scott B ; Lohman, Timothy G ; Heinrich, C. H. ; Perry, C. D. ; Pamenter, R. W. / Variation in bone mineral content and estimated body fat in young adult females. In: Medicine and Science in Sports and Exercise. 1990 ; Vol. 22, No. 5. pp. 564-569.
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N2 - This study was designed to determine whether variability in bone mineral content (BMC) at the lumbar vertebrae (L2-4), radius shaft (RS), femoral neck, and distal radius can significantly contribute to the variability observed in body density (Db) among 89 females (age = 25.1 ± 5.3 yr) of varying activity levels and menstrual status. Theoretical differences in Db were calculated at ±1 and ±2 standard deviations of BMC (SD(BMC)) for the population as well as for the subgroups: eumenorrheic inactive controls (C), recreational runners (RR), collegiate runners (CR), body builders (BB), swimmers (S), and amenorrheic runners (AR). Multiple regression to predict Db yielded significant coefficients (b) for BMC at L2-4 (b = 0.0190, P < 0.001) and RS (b = 0.0425, P < 0.01) when added separately to the sum of four skinfolds (subscapula, abdomen, thigh, calf). The differences in % BF(HW) at ±1 and ±2 SD(BMC) for the sample mean for RS(BMC) were ±1.0% and ±2.0%, respectively. Variability in L2-4 contributed differences of ±1.3% and ±2.6% at ±1 and ±2 SD(BMC). The subgroup % BF(HW) differences (due to L2-4 and RS combined) ranged from an average overestimation of 1.3% for the AR to an average underestimation of 1.4% for the BB. Estimated mean errors for remaining groups were ≤ 0.5%. Individual differences ranged from a 3.3% underestimation (BB) to a 3.0% overestimation (AR). It is concluded that variability in BMC among young adult females may significantly contribute to variability in Db, independent of fatness. While the impact of high or low bone mineral content on %BF(HW) is modest for most individuals, those athletes with extremely high or low BMC values may require adjustments in the equations used to convert Db to %BF. It is suggested that correlations between Db and total BMC (or BM density) be evaluated in a similar manner as presented here before stronger conclusions can be made concerning the impact of bone on estimations of %BF.

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