CoChat
Sign Up
Cited by 111Bone health and osteoporosis researchHormonal and reproductive studiesNutrition and Health in Aging

Determinants of bone density in healthy older men with low testosterone levels

Kenny, A. M., Prestwood, K. M., Marcello, K. M., Raisz, L. G.·2000·The Journals of Gerontology Series A: Biological Sciences and Medical Sciences
DOI 10.1093/gerona/55.9.m492
Open this paper in CoChat — free account

Abstract

BACKGROUND: Osteoporosis is a significant problem in older men, 30% of all hip fractures occur in men and the mortality rate following hip fracture exceeds that of women. Testosterone is thought to be important in the development of peak bone mass hut its role in age-related bone loss is not established. The purpose of this study was to define the predictors of bone mass ill healthy older men with low testosterone levels but without symptomatic osteoporosis. METHODS: Eighty-three community-dwelling white men, aged more than 65 years old, selected for low bioavailable testosterone levels (< or = 4.44 nmol/l) participated in a cross-sectional study located at a university general clinical research center. Sex hormone concentrations and markers of bone turnover were assayed in serum and urine. Risk factors for osteoporosis and physical activity were ascertained by physical examination and questionnaire, including the Physical Activity Scale in the Elderly (PASE) questionnaire. Bone mineral densities of the femoral neck (FN BMD), spine, and whole body were measured by dual x-ray absorptiometry. Lower extremity muscle strength (1 repetition maximum) was measured using a leg press machine. RESULTS: Mean bone mineral density values were 0.93 +/- 0.14 g/cm2 for femoral neck, 1.31 +/- 0.23 g/cm2 for spine, and 1.22 +/- 0.12 g/cm2 for whole body. Thirty-one of the 82 subjects (37%) had t scores < -1 and 12 of 82 subjects (15%) had t scores < -2.5 at the femoral neck. Multiple linear regression analysis demonstrated that bioavailable testosterone, body mass index (BMI), and PASE scores were positively correlated with, and significant predictors of, femoral neck BMD, accounting for 34.4% of the variance in FN BMD (F = 10.10, p = .001). Examining each variable independently, bioavailable testosterone accounted for 20.7%, physical activity score for 9.0%, and BMI for 6.5% of FN BMD. Using analysis of variance, mean values for FN BMD were significantly different between men grouped by tertile of bioavailable testosterone (F = 6.192, p = .003). FN BMD mean values were 0.86 +/- 0.14 g/cm2 for the lowest tertile, 0.94 +/- 0.16 for the middle tertile, and 0.99 +/- 0.14 for the highest tertile. Markers of bone turnover were inversely correlated, and strength directly correlated with BMD, but did not contribute to the multiple regression model. CONCLUSIONS: Fifty-two percent of older men with low bioavailable testosterone levels had BMD levels below the young adult normal range and are likely at an increased risk of fracture. Bioavailable testosterone, BMI, and physical activity scores were significant determinants of FN BMD in these men. These variables are potentially modifiable and, therefore, amenable to intervention. Hence, our results suggest the need for testosterone replacement and physical activity intervention trials in men at risk for osteoporotic fractures.

Integrity signals

Registry

Crossref · 10.1093/gerona/55.9.m492

Cites

38 of 38 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Related

Authors
Kenny, A. M., Prestwood, K. M., Marcello, K. M., & Raisz, L. G.
Affiliations
UConn Health (US)
Corresponding author
  • Prestwood, K. M.
  • Marcello, K. M.
  • Raisz, L. G.
Venue
The Journals of Gerontology Series A: Biological Sciences and Medical Sciences
Publisher
Oxford University Press (OUP)
Published
2000-09-01
Volume
55
Issue
9
Pages
M492-M497
ISSN
  • 1079-5006 (ISSN-L)
  • 1758-535X
DOI
10.1093/gerona/55.9.m492
OpenAlex
W2132894262
Cited by
111
References
38
Citations by year
2026: 1 · 2024: 3 · 2023: 2 · 2022: 5 · 2021: 3 · 2020: 4 · 2019: 2 · 2018: 2 · 2016: 2 · 2015: 2 · 2014: 5 · 2013: 5 · 2012: 2
FWCI
9.39
Type
journal article
Language
en
Open access
closed
Locations
  • The Journals of Gerontology Series A (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health (5p60ag013631-05)
  • National Institute on Aging (5P60AG13631)
  • National Center for Research Resources (M01RR006192, MO1 RR06192)
Topics
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Bone health and osteoporosis research
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Hormonal and reproductive studies
  • Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
Keywords
bone mineral density, androgen deficiency, hypogonadism, older men, osteoporosis risk factors, femoral neck, physical activity, body mass index, sex hormones, bone turnover markers, muscle strength, hip fracture, peak bone mass, age-related bone loss, community-dwelling men, sex differences in bone loss, testosterone replacement therapy
MeSH terms
Aged, Aging, Alkaline Phosphatase, Biological Availability, Collagen, Cross-Sectional Studies, Femur Neck, Forecasting, Hip Fractures, Humans, Male, Motor Activity, Osteoporosis, Peptide Fragments, Peptides, Physical Examination, Procollagen, Surveys and Questionnaires, Risk Factors, Sex Hormone-Binding Globulin, Spine, Testosterone, Biomarkers, Absorptiometry, Photon, Bone Density, Collagen Type I

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review