Accuracy of patient-reported height loss and risk factors for height loss among postmenopausal women

Briot, Karine; Legrand, E.; Pouchain, Denis; Monnier, Stéphanie; Roux, Christian

doi:10.1503/cmaj.090710

Cited by 44 publications

(47 citation statements)

References 17 publications

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“…Only ASM/ht 2 showed any association with physical function (TUG, Table 3) and this association was weak, in an unexpected positive direction and might be explained by differences in body height (Table 4). Elderly women were shorter than younger women, possibly as a result of vertebral compression following reduced bone mineral density 37. Comparisons between women of high versus poor physical function indicated clear differences in ankle, knee, and especially hip strength but none in body composition (Table 4).…”

Section: Discussionmentioning

confidence: 99%

Poor physical function in elderly women in low-level aged care is related to muscle strength rather than to measures of sarcopenia

Woods

Iuliano-Burns

King

et al. 2011

CIA

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Purpose:To determine the prevalence of sarcopenia and investigate relationships among body composition, muscle strength, and physical function in elderly women in low-level aged care.Subjects and methods:Sixty-three ambulatory women (mean age 86 years) participated in this cross-sectional study where body composition was determined by dual energy X-ray absorptiometry (DXA); ankle, knee, and hip strength by the Nicholas Manual Muscle Tester; and physical function by ‘timed up and go’ (TUG) and walking speed (WS) over 6 meters. Body composition data from a female reference group (n = 62, mean age 29 years) provided cut-off values for defining sarcopenia.Results:Elderly women had higher body mass index (P < 0.001), lower lean mass (P < 0.001), and higher fat mass (P < 0.01) than the young reference group. Only a small proportion (3.2%) had absolute sarcopenia (defined by appendicular skeletal muscle mass/height squared) whereas 37% had relative sarcopenia class II (defined by percentage skeletal muscle mass). Scores for TUG and WS indicated relatively poor physical function, yet these measures were not associated with muscle mass or indices of sarcopenia. In multivariate analysis, only hip abductor strength predicted both TUG and WS (both P = 0.01).Conclusion:Hip strength is a more important indicator of physical functioning than lean mass. Measurement of hip strength may therefore be a useful screening tool to detect those at risk of functional decline and requirement for additional care. Further longitudinal studies with a range of other strength measures are warranted.

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Section: Discussionmentioning

confidence: 99%

Poor physical function in elderly women in low-level aged care is related to muscle strength rather than to measures of sarcopenia

Woods

Iuliano-Burns

King

et al. 2011

CIA

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“…A recent study from a national representative sample of individuals aged over 50 years in England estimated a loss of measured height of 2-4 cm in men and women over the life course (Fernihough and McGovern, 2014). Another study among 8,610 Canadian women revealed mean loss of height of 4.5 cm compared to patients' tallest recalled height at mean age of 71 years (Briot et al, 2010). Differences in height loss could be related to the measurement method and differences in the cohorts related to ethnicity and lifestyle, e.g.…”

Section: Discussionmentioning

confidence: 99%

Change in Height, Weight, and body mass index: Longitudinal data from Austria

Peter

Fromm

Klenk

et al. 2014

American J Hum Biol

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“…The thresholds useful in clinical practice to detect prevalent vertebral fracture range from 3 cm to 6 cm, with the risk of prevalent fracture increasing with the magnitude of the height loss (Krege et al, 2006;Vokes et al, 2006;Gunnes et al, 1996). A mean loss of height of 4.5 cm since early adulthood was observed in the study by Briot et al (2010) in a large population of postmenopausal women in primary care practices. They observed that the risk of an existing vertebral fracture was significantly higher among patients with a height loss of at least 4 cm.…”

Section: Introductionmentioning

confidence: 84%

“…However it varies greatly among individuals. Causes of height loss include changes in the curvature of the spine, narrowing of the intervetebral discs and vertebral fractures (Briot et al, 2010). Excessive height loss was found to reflect low bone mass, a feature of postmenopausal osteoporosis.…”

Section: Introductionmentioning

confidence: 92%

Evaluation of the height of premenopausal and postmenopausal women in Zaria, Nigeria

Achie¹,

Olorunshola²,

Mabrouk³

2014

J. Physiol. Pathophysiol.

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Excessive height loss in postmenopausal women (PMW) has been found to reflect low bone mass; an index helpful in predicting vertebral fractures. One hundred and sixty five women were recruited for the cross-sectional study comprising of 77 premenopausal women who served as control and 88 PMW who constituted the study group. The subjects were administered a questionnaire after obtaining informed consent. While their height, weight, waist circumference and serum testosterone levels were determined utilizing standard methods. The results were presented as mean ± SD, while data was analyzed with Student's t-test, one way ANOVA, and correlation for comparing association; p<0.05 was considered significant. The postmenopausal women had a significantly lower mean height (158.56 ± 7.02 cm) than the premenopausal women (162.25 ± 6.44 cm), p<0.001. There was a decrease in mean postmenopausal height with increasing duration of menopause, however, it was not statistically significant; 158.71 ± 7.32, 158.40 ± 7.34 and 158.41 ± 6.41 cm, respectively for women who were 1-5, 6 -10 and > 10 years postmenopausal. The age at menopause and the body mass index demonstrated a positive correlation with the height of the menopausal women. While the serum testosterone and the body mass of the postmenopausal women demonstrated a negative correlation with their age at menopause. It is concluded that the postmenopausal women had a significantly lower height than the premenopausal women (mean height difference of 3.69 cm) and were at risk of vertebral fractures; critical levels predictive for vertebral fractures range between 3 -6 cm losses in height. We recommend longitudinal studies to determine the prospective height loss across the menopause transition in Nigerian women and thus indicate the critical levels predictive for vertebral fractures for Nigerian menopausal women.

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Accuracy of patient-reported height loss and risk factors for height loss among postmenopausal women

Cited by 44 publications

References 17 publications

Poor physical function in elderly women in low-level aged care is related to muscle strength rather than to measures of sarcopenia

Poor physical function in elderly women in low-level aged care is related to muscle strength rather than to measures of sarcopenia

Change in Height, Weight, and body mass index: Longitudinal data from Austria

Evaluation of the height of premenopausal and postmenopausal women in Zaria, Nigeria

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