Identifying and categorizing spurious weight data in electronic medical records-Reference-Cited by-同舟云学术

Identifying and categorizing spurious weight data in electronic medical records

Published:2018-03-01 Issue:3 Volume:107 Page:420-426
ISSN:0002-9165
Container-title:The American Journal of Clinical Nutrition
language:en
Short-container-title:

Author:

Chen Sunny¹,Banks William A²³,Sheffrin Meera⁴,Bryson William⁵,Black Marissa¹³,Thielke Stephen M¹⁵

Affiliation:

1. Geriatric Research, Education, and Clinical Center and Research and Development, Puget Sound VA Medical Center, Seattle, WA

2. Research and Development, Puget Sound VA Medical Center, Seattle, WA

3. Division of Gerontology and Geriatric Medicine, Department of Medicine and Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, WA

4. Geriatric Medicine, Division of General Medical Disciplines, Stanford University School of Medicine, Stanford, CA

5. Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, WA

Publisher

Oxford University Press (OUP)

Subject

Nutrition and Dietetics,Medicine (miscellaneous)

Link

http://academic.oup.com/ajcn/article-pdf/107/3/420/24377456/nqx056.pdf

Reference9 articles.

1. Methods employed to assess weight loss in older adults by means of electronic medical records: a systematic review;Chen;J Nutr Gerontol Geriatr,2017

2. Comparing methods for identifying biologically implausible values in height, weight, and body mass index among youth;Lawman;Am J Epidemiol,2015

3. Validity of the WHO cutoffs for biologically implausible values of weight, height, and BMI in children and adolescents in NHANES from 1999 through 2012;Freedman;Am J Clin Nutr,2015

4. The prevalence and validity of high, biologically implausible values of weight, height, and BMI among 8.8 million children;Freedman;Obesity (Silver Spring),2016

5. Diet, activity and body-weight. A study of variations in a woman;Taggart;Brit J Nutr,1962

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