Literature DB >> 16134566

Precision in weighing: a comparison of scales found in physician offices, fitness centers, and weight loss centers.

Risa J Stein1, C Keith Haddock, Walker S C Poston, Dana Catanese, John A Spertus.   

Abstract

OBJECTIVE: Weight assessment is a critical aid in patient care. It is particularly important in monitoring progression of pregnancies, heart failure status, and when adjusting medications. Although weight is generally determined using a scale, few studies have evaluated the precision of non-household scales. The objective of this study was to assess scale precision across a variety of settings.
METHODS: An evaluation of scales from randomly selected primary care clinics (n=30), diabetology/endocrinology clinics (n=7), weight loss facilities (n=25), and fitness centers (n=30) was performed. Assessments were completed on a total of 223 scales: 94 from primary care clinics, 32 from diabetology/endocrinology clinics, 39 from weight loss centers, and 58 from fitness centers. Scales were assessed for condition, location in facility, resting surface, commercial designation, and calibration history. Scale precision was validated using 100 lb. (45.5 kg), 150 lb. (68.3 kg), 200 lb. (90.9 kg), and 250 lb. (113.6 kg) certified weights.
RESULTS: Overall, scales demonstrated decreased precision with increased weight. At higher weights, more than 15% of scales were off by more than 6 lbs. (2.3 kg), approximately 1 Body Mass Index (BMI) unit. While facility type was not significant, condition, location in facility, resting surface, commercial designation, and calibration history were significant.
CONCLUSIONS: This study demonstrates that many scales used to measure body weight are imprecise and that scales in health care settings are no more precise than those in other facilities. Clinical decisions based on scales that are imprecise have the potential to cause iatrogenic complications in patient care.

Entities:  

Mesh:

Year:  2005        PMID: 16134566      PMCID: PMC1497726          DOI: 10.1177/003335490512000308

Source DB:  PubMed          Journal:  Public Health Rep        ISSN: 0033-3549            Impact factor:   2.792


  2 in total

1.  The accuracy of scales used to weigh patients.

Authors:  K Schlegel-Pratt; W D Heizer
Journal:  Nutr Clin Pract       Date:  1990-12       Impact factor: 3.080

2.  How accurate are antenatal weight measurements? A survey of hospital and community clinics in a South Thames Region NHS Trust.

Authors:  H E Harris; G T Ellison; M Holliday; C Nickson
Journal:  Paediatr Perinat Epidemiol       Date:  1998-04       Impact factor: 3.980

  2 in total
  8 in total

Review 1.  Basic statistical considerations for physiology: The journal Temperature toolbox.

Authors:  Aaron R Caldwell; Samuel N Cheuvront
Journal:  Temperature (Austin)       Date:  2019-06-25

2.  Is the Uniscale an appropriate mother-child scale?

Authors:  Jila Sadighi; Robabeh Sheikholeslam; Koroush Samadpour; Hamed Pouraram
Journal:  Matern Child Health J       Date:  2007-02-27

3.  Impact of instrument error on the estimated prevalence of overweight and obesity in population-based surveys.

Authors:  Anna Biehl; Ragnhild Hovengen; Haakon E Meyer; Jøran Hjelmesaeth; Jørgen Meisfjord; Else-Karin Grøholt; Mathieu Roelants; Bjørn Heine Strand
Journal:  BMC Public Health       Date:  2013-02-18       Impact factor: 3.295

4.  A long-term mechanistic computational model of physiological factors driving the onset of type 2 diabetes in an individual.

Authors:  Joydeep Sarkar; Gaurav Dwivedi; Qian Chen; Iris E Sheu; Mark Paich; Colleen M Chelini; Paul M D'Alessandro; Samuel P Burns
Journal:  PLoS One       Date:  2018-02-14       Impact factor: 3.240

5.  Evaluation of Worksite Wellness Nutrition and Physical Activity Programs and Their Subsequent Impact on Participants' Body Composition.

Authors:  Victoria Sandercock; Jeanette Andrade
Journal:  J Obes       Date:  2018-12-03

6.  Accuracy and consistency of weights provided by home bathroom scales.

Authors:  Meredith Yorkin; Kim Spaccarotella; Jennifer Martin-Biggers; Virginia Quick; Carol Byrd-Bredbenner
Journal:  BMC Public Health       Date:  2013-12-17       Impact factor: 3.295

7.  Is it time to stop sweeping data cleaning under the carpet? A novel algorithm for outlier management in growth data.

Authors:  Charlotte S C Woolley; Ian G Handel; B Mark Bronsvoort; Jeffrey J Schoenebeck; Dylan N Clements
Journal:  PLoS One       Date:  2020-01-24       Impact factor: 3.240

8.  Growth assessment of children during the COVID-19 pandemic-Can we rely on parental measurements?

Authors:  Ariel Tenenbaum; Noa Shefer-Averbuch; Liora Lazar; Michal Yakobovitch-Gavan; Moshe Phillip; Tal Oron
Journal:  Acta Paediatr       Date:  2021-07-27       Impact factor: 4.056

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.