ArticleMenopause (New York, N.Y.)2018
Risk factors for 5-year prospective height loss among postmenopausal women.
Article in Menopause (New York, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 16 citations in OpenAlex.
- Polygenic height prediction for the Han Chinese in Taiwan.NPJ genomic medicine · 2025Article
- Age trend and risk factors of height loss in Chinese over 40 years old.Frontiers in endocrinology · 2025Article
- Association between Height-Changing Scores and Risk of Sarcopenia Estimated from Anthropometric Measurements in Older Adults: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2024Article
- Does mandibular bone structure predict subsequent height loss? A longitudinal cohort study of women in Gothenburg, Sweden.BMJ open · 2023Article
- Association between height loss and mortality in the general population.Scientific reports · 2023Article
- Loss of height predicts total and cardiovascular mortality: a cohort study of northern European women.BMJ open · 2021Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveHeight loss is common in older women and has been associated with increased morbidity and mortality. In this study, we identified factors that could predict prospective height loss in postmenopausal women.
methodsHeight was measured in 1,024 postmenopausal women, enrolled in the Buffalo Osteoporosis and Periodontal Disease Study, at baseline and 5 years later using a fixed stadiometer. Demographics, lifestyle, medical history, and medication use were assessed at baseline. Stepwise logistic regression was used to identify factors that are associated with marked height loss of ≥1 inch. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated for each predictor. Receiver-operating characteristic (ROC) curve was performed to determine the discriminatory ability of the prediction model.
resultsThe mean loss of height was 0.4 (SD 0.7) inches. Age (OR 1.11, 95% CI 1.06-1.16), weight (OR 1.05, 95% CI 1.03-1.07), use of oral corticosteroids (OR 4.96, 95% CI 1.25-19.72), and strenuous exercise at age 18 ≥ three times per week (OR 0.55, 95% CI 0.31-0.98) were significantly associated with marked height loss in the multivariable-adjusted model. The area under the ROC curve is 72.1%. Addition of bone mineral density measures did not improve the discriminatory ability of the prediction model.
conclusionsThis set of available variables may be useful in predicting the 5-year risk of height loss of 1 inch or more in postmenopausal women. These findings may help to target older women at risk of height loss who may benefit most from prevention strategies for fracture and mortality.
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