Literature DB >> 2807265

Decline of height with age in adults in a general population sample: estimating maximum height and distinguishing birth cohort effects from actual loss of stature with aging.

M G Cline, K E Meredith, J T Boyer, B Burrows.   

Abstract

The decline in stature with age among adults is well documented. Although part of this represents a birth cohort effect, actual height declines among older individuals are known to contribute to the effect. In this study we used longitudinal changes in the heights of adults in a general population sample to determine the rate of decline in height over time in individuals of different ages. This allowed an estimation of the age at which decline in height begins, a value close to age 40 in both sexes. It also allowed derivation of equations from which the maximum height of subjects can be estimated on the basis of their sex, current height, and age. These equations should prove useful when examining the effect of aging per se on physiological measurements that are height dependent. The data also allow one to compare the magnitude of the effect of year of birth with that of the actual decline in height seen among the elderly. We estimate that approximately 60% of the smaller stature of older male subjects and 45% of the smaller stature of older female subjects is a birth cohort effect deriving from the secular trend toward greater stature; the remainder is a result of an actual decrement in height after the age of 40.

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Year:  1989        PMID: 2807265

Source DB:  PubMed          Journal:  Hum Biol        ISSN: 0018-7143            Impact factor:   0.553


  29 in total

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Authors:  Gerda G Fillenbaum; Maragatha N Kuchibhatla; Heather E Whitson; Bryan C Batch; Laura P Svetkey; Carl F Pieper; William E Kraus; Harvey J Cohen; Dan G Blazer
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2010-06-07       Impact factor: 6.053

2.  Height loss predicts subsequent hip fracture in men and women of the Framingham Study.

Authors:  Marian T Hannan; Kerry E Broe; L Adrienne Cupples; Alyssa B Dufour; Margo Rockwell; Douglas P Kiel
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3.  Risk factors for 5-year prospective height loss among postmenopausal women.

Authors:  Xiaodan Mai; Britt Marshall; Kathleen M Hovey; Jill Sperrazza; Jean Wactawski-Wende
Journal:  Menopause       Date:  2018-08       Impact factor: 2.953

4.  Vertebral fracture or vertebral deformity.

Authors:  M Kleerekoper; D A Nelson
Journal:  Calcif Tissue Int       Date:  1992-01       Impact factor: 4.333

5.  Detective value of historical height loss and current height/knee height ratio for prevalent vertebral fracture in Japanese postmenopausal women.

Authors:  Kousei Yoh; Akiko Kuwabara; Kiyoshi Tanaka
Journal:  J Bone Miner Metab       Date:  2014-09       Impact factor: 2.626

6.  Now, the Taller Die Earlier: The Curse of Cancer.

Authors:  Kitae Sohn
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2015-05-19       Impact factor: 6.053

7.  Physical stature decline and the health status of the elderly population in England.

Authors:  Alan Fernihough; Mark E McGovern
Journal:  Econ Hum Biol       Date:  2014-01-18       Impact factor: 2.184

8.  Association of Height with Mortality in Patients Undergoing Maintenance Hemodialysis.

Authors:  Bryan B Shapiro; Elani Streja; Vanessa A Ravel; Kamyar Kalantar-Zadeh; Joel D Kopple
Journal:  Clin J Am Soc Nephrol       Date:  2015-03-30       Impact factor: 8.237

9.  The accuracy of historical height loss for the detection of vertebral fractures in postmenopausal women.

Authors:  K Siminoski; R S Warshawski; H Jen; K Lee
Journal:  Osteoporos Int       Date:  2005-09-06       Impact factor: 4.507

10.  Measurement of height: practical considerations for the study of osteoporosis.

Authors:  R J Coles; D G Clements; W D Evans
Journal:  Osteoporos Int       Date:  1994-11       Impact factor: 4.507

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