Literature DB >> 20308271

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

Karine Briot1, Erik Legrand, Denis Pouchain, Stéphanie Monnier, Christian Roux.   

Abstract

BACKGROUND: Since loss of height may indicate vertebral fracture, the accuracy of the information on height is relevant for clinical practice. We undertook this study to compare reported and measured loss of height among post-menopausal women in a primary care setting. We also analyzed the determinants of this height loss.
METHODS: In an observational study conducted between December 2007 and May 2008, we asked 1779 randomly selected general practitioners to recruit the first five female patients who were more than 60 years of age, regardless of the reason for the consultation. Using a questionnaire, physicians collected data on demographic and clinical variables, history of osteoporosis and current anti-osteoporotic treatment. We used three assessments of height: tallest height in early adulthood recalled by the patient, estimated current height reported by the patient at the visit and current measured height. We defined loss of height as the difference between the patient's tallest recalled height and her current measured height.
RESULTS: A total of 8610 patients were included in the analysis; the mean age was 70.9 (standard deviation [SD] 7.2) years. The mean loss of height was 4.5 cm. The mean current reported height was 2.1 (SD 2.5) cm lower than the tallest recalled height and 2.4 (SD 2.6) cm lower than the measured current height. The best predictors of a loss of height of 3 cm or more were age (odds ratio [OR] 1.09, 95% confidence interval [CI] 1.08-1.10), previous vertebral fracture (OR 1.49, 95% CI 1.16-1.91), previous nonvertebral fracture (OR 1.26, 95% CI 1.06-1.51), thoracic kyphosis (OR 2.07, 95% CI 1.69-2.55), scoliosis (OR 1.35, 95% CI 1.12-1.63), back pain (OR 1.22, 95% CI 1.07-1.39) and osteoporosis (OR 1.39, 95% CI 1.20-1.60).
INTERPRETATION: Our study showed that the patients' estimated current height was not correct, with a mean difference of -2.5 cm from the current measured height. The mean height loss was 4.5 cm. Previous vertebral fracture and thoracic kyphosis were strong determinants of the height loss.

Entities:  

Mesh:

Year:  2010        PMID: 20308271      PMCID: PMC2845682          DOI: 10.1503/cmaj.090710

Source DB:  PubMed          Journal:  CMAJ        ISSN: 0820-3946            Impact factor:   8.262


  18 in total

1.  Incidence of clinically diagnosed vertebral fractures: a population-based study in Rochester, Minnesota, 1985-1989.

Authors:  C Cooper; E J Atkinson; W M O'Fallon; L J Melton
Journal:  J Bone Miner Res       Date:  1992-02       Impact factor: 6.741

2.  Age changes in adult stature: trend estimation from mixed longitudinal data.

Authors:  P J Chandler; R D Bock
Journal:  Ann Hum Biol       Date:  1991 Sep-Oct       Impact factor: 1.533

3.  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.

Authors:  M G Cline; K E Meredith; J T Boyer; B Burrows
Journal:  Hum Biol       Date:  1989-06       Impact factor: 0.553

4.  Effects of age on validity of self-reported height, weight, and body mass index: findings from the Third National Health and Nutrition Examination Survey, 1988-1994.

Authors:  M F Kuczmarski; R J Kuczmarski; M Najjar
Journal:  J Am Diet Assoc       Date:  2001-01

5.  The relationship between anthropometric measurements and fractures in women.

Authors:  M Gunnes; E H Lehmann; D Mellstrom; O Johnell
Journal:  Bone       Date:  1996-10       Impact factor: 4.398

6.  When should the doctor order a spine X-ray? Identifying vertebral fractures for osteoporosis care: results from the European Prospective Osteoporosis Study (EPOS).

Authors:  Stephen Kaptoge; Gabi Armbrecht; Dieter Felsenberg; Mark Lunt; Terence W O'Neill; Alan J Silman; Jonathan Reeve
Journal:  J Bone Miner Res       Date:  2004-09-07       Impact factor: 6.741

7.  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

8.  Trunk deformity is associated with a reduction in outdoor activities of daily living and life satisfaction in community-dwelling older people.

Authors:  Toshiaki Takahashi; Kenji Ishida; Daisuke Hirose; Yasunori Nagano; Kiyoto Okumiya; Masanori Nishinaga; Kozo Matsubayashi; Yoshinori Doi; Toshikazu Tani; Hiroshi Yamamoto
Journal:  Osteoporos Int       Date:  2004-07-02       Impact factor: 4.507

9.  Factors associated with errors in self-reported height and weight in older adults.

Authors:  N R Sahyoun; L M Maynard; X L Zhang; M K Serdula
Journal:  J Nutr Health Aging       Date:  2008-02       Impact factor: 4.075

10.  Prevalence of vertebral fracture in women and the relationship with bone density and symptoms: the Chingford Study.

Authors:  T D Spector; E V McCloskey; D V Doyle; J A Kanis
Journal:  J Bone Miner Res       Date:  1993-07       Impact factor: 6.741

View more
  16 in total

1.  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
Journal:  J Bone Miner Res       Date:  2012-01       Impact factor: 6.741

2.  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

3.  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

4.  Inaccurate self-report of height and its impact on misclassification of body mass index in postmenopausal women.

Authors:  Xiaodan Mai; Jill N Sperrazza; Britt A Marshall; Kathleen M Hovey; Jean Wactawski-Wende
Journal:  Menopause       Date:  2017-05       Impact factor: 2.953

5.  Restrictive pulmonary dysfunction is associated with vertebral fractures and bone loss in elderly postmenopausal women.

Authors:  R Watanabe; M Shiraki; M Saito; R Okazaki; D Inoue
Journal:  Osteoporos Int       Date:  2017-12-07       Impact factor: 4.507

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

Authors:  Julie L Woods; Sandra Iuliano-Burns; Susannah J King; Boyd J Strauss; Karen Z Walker
Journal:  Clin Interv Aging       Date:  2011-03-23       Impact factor: 4.458

7.  A model for estimating body shape biological age based on clinical parameters associated with body composition.

Authors:  Chul-Young Bae; Young Gon Kang; Young-Sung Suh; Jee Hye Han; Sung-Soo Kim; Kyung Won Shim
Journal:  Clin Interv Aging       Date:  2012-12-28       Impact factor: 4.458

8.  The gait speed advantage of taller stature is lost with age.

Authors:  Alexis Elbaz; Fanny Artaud; Aline Dugravot; Christophe Tzourio; Archana Singh-Manoux
Journal:  Sci Rep       Date:  2018-01-24       Impact factor: 4.379

9.  Correlations of Serum Hormones and Bone Mineral Density with Fracture and Balance Ability of Postmenopausal Patients and Effects of Calcitriol.

Authors:  Lili Xu; Bing Liu; Peng Li; Juanjuan Li; Jun Wang; Jialin Han; Nailong Yang
Journal:  Med Sci Monit       Date:  2018-10-13

10.  Associations of self-reported height loss and kyphosis with vertebral fractures in Japanese women 60 years and older: a cross-sectional survey.

Authors:  Mikio Kamimura; Yukio Nakamura; Noriyuki Sugino; Shigeharu Uchiyama; Masatoshi Komatsu; Shota Ikegami; Hiroyuki Kato; Akira Taguchi
Journal:  Sci Rep       Date:  2016-07-06       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.