Within and Between-rater Reproducibility and Validity of a Novel Portable Laser Height Meter
NCT ID: NCT04070638
Last Updated: 2019-10-04
Study Results
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Basic Information
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COMPLETED
32 participants
OBSERVATIONAL
2019-08-26
2019-08-28
Brief Summary
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Detailed Description
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Primary objective: To investigate inter- and intra-rater reproducibility of the portable height device
Secondary objectives:To assess agreement between the portable height device and wall-fixed digital stadiometer.
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Participants: Approximately 30 adults, 18+ years old men and women in the study is expected to be enrolled. Participants will be recruited through convenience sampling in order to maximise recruitment efforts during the time of the study. Data on gender, age, and height will be collected.
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Ethics: Written informed consent will be obtained from all participants prior to the study. The local ethics committee will be consulted for approval of the study. Approval will also be obtained from the Danish Data Protection Agency.
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Measuring devices:
Portable laser measuring device: A laser distance meter (Bosch Zamo, Robert Bosch GmbH, Gerlingen-Schillerhöhe, Germany) will be mounted perpendicularly to the end of a wooden lath (3x4x50 cm). The other end of the lath will be mounted perpendicular to a T-shaped metal plate which will fixate the x- and z-axis of the laser measuring device. The portable height device will measure vertically down in its z-axis from the participant's vertex to the floor in front of the participant.
Stadiometer (reference standard): a fixed stadiometer will be used as a reference (Harpenden Stadiometer, Holtain Limited, Crosswell, UK).
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Procedure:
Measurements will be performed at Aalborg University Hospital, Aalborg, Denmark. Two raters will independently perform height measurements in two separate rooms with each measuring device (portable height device and fixed stadiometer) on all participants. Each rater will perform three measures per device. During measurements, participants will be asked to stand flat on the floor (hard surface) without shoes. Furthermore, participants will be asked to stand with their heels positioned together and against the wall during both type of measurements. Each rater will make sure that participants' heads are be positioned in the Frankfurt plane, and encourage participants to stand with a straight back against the wall.
Stadiometer (reference standard): The measuring device will be pulled down to the skull. Afterwards, the participant will be asked to take a deep breath and hold it, after which the measurement will be performed.
Portable laser measuring device: The lath with the laser distance meter will be placed on top of the participant's vertex and fixated in two axes by holding the T-shaped piece against the wall. The lath will be rotated until the laser distance meter points vertically, which is done using a bubble level mounted on the end of the lath. The laser distance meter will be activated by clicking on the "START" button. Participants are asked to take a deep breath and hold it, after which the measurement will be locked and recorded. Following each measurement, the participant will take a step away from the measuring area and afterwards step back again to replicate the measurement procedure.
Blinding: All 30 participants will be measured using the laser distance meter first by each rater. When this stage is complete, measurements will be secured and inaccessible, in order to blind the raters when performing stadiometer measurements afterwards. It is assumed that each rater will not be able to remember each participants' height when 30 participants are measured consecutively. After the stadiometer measurements have been performed, data will also be secured and inaccessible. Afterwards, this entire procedure will be repeated once more. Measurements will be collected using a data capturing tool Research electronic data capture (REDCap).
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Statistics:
Participants: Age will be reported in mean with standard deviations, and gender will be reported in proportions. Both height measures will have 95% confidence intervals reported.
Agreement:Mean of all three measurements per rater per measuring device per participants will be calculated. The difference between the means will be calculated by subtracting the mean laser measurement from the mean stadiometer measurement. This will also be performed with only the mean of the two first measurements, and finally also the first measurement. Thus, it would be possible to evaluate whether one measurement would have similar agreement with two or three measurements. Bland Altman plots with limits of agreement (LOA) will be generated together with standard error of measurements (SEM) and coefficient of variation (c.v) for all the above-mentioned combinations.
Reliability: Intraclass Correlation Coefficients (ICC) with 95% confidence intervals between measuring devices will be calculated.
Software: Statistics will be performed using Microsoft Excel for Mac version 16.28 (Microsoft Office, Microsoft Corporation, WA) and IBM SPSS Statistics for MacOS version 25.0 (IBM Corporation, Armonk, NY).
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Conflicts of interest: The authors report no conflicts of interest.
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Dissemination: This study is planned to be published in an English-language journal. The reporting of the study will follow the current guidelines for reliability and agreement studies (GRRAS).
Conditions
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Study Design
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OTHER
CROSS_SECTIONAL
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
ALL
Yes
Sponsors
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Odense University Hospital
OTHER
Aalborg University Hospital
OTHER
Responsible Party
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Gustav Valentin Blichfeldt Sørensen
Principal Investigator
Principal Investigators
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Stig Andersen, MD, PhD
Role: STUDY_DIRECTOR
Aalborg University Hospital
Locations
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Aalborg University Hospital
Aalborg, , Denmark
Countries
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References
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Deurenberg P, Weststrate JA, Seidell JC. Body mass index as a measure of body fatness: age- and sex-specific prediction formulas. Br J Nutr. 1991 Mar;65(2):105-14. doi: 10.1079/bjn19910073.
Renstrom SB, Andersen CS, Pedersen CH, Madsen FF. Correct measurement of height is important when assessing lung function values. Dan Med J. 2012 Feb;59(2):A4376.
Siminoski K, Warshawski RS, Jen H, Lee K. The accuracy of historical height loss for the detection of vertebral fractures in postmenopausal women. Osteoporos Int. 2006 Feb;17(2):290-6. doi: 10.1007/s00198-005-2017-y. Epub 2005 Sep 6.
Duggan MB. Anthropometry as a tool for measuring malnutrition: impact of the new WHO growth standards and reference. Ann Trop Paediatr. 2010;30(1):1-17. doi: 10.1179/146532810X12637745451834.
Voss LD, Bailey BJ, Cumming K, Wilkin TJ, Betts PR. The reliability of height measurement (the Wessex Growth Study). Arch Dis Child. 1990 Dec;65(12):1340-4. doi: 10.1136/adc.65.12.1340.
Mayol-Kreiser SN, Garcia-Turner VM, Johnston CS. Examining the utility of a laser device for measuring height in free-living adults and children. Nutr J. 2015 Sep 8;14:93. doi: 10.1186/s12937-015-0082-4.
Bauman A, Ernst K, Hayden M, Roe DJ, Murray R, Agawo M, Munga S, Schmahl E, Taren D. Assessing Community Health: An Innovative Tool for Measuring Height and Length. J Trop Pediatr. 2018 Apr 1;64(2):146-150. doi: 10.1093/tropej/fmx046.
Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009 Apr;42(2):377-81. doi: 10.1016/j.jbi.2008.08.010. Epub 2008 Sep 30.
Kottner J, Audige L, Brorson S, Donner A, Gajewski BJ, Hrobjartsson A, Roberts C, Shoukri M, Streiner DL. Guidelines for Reporting Reliability and Agreement Studies (GRRAS) were proposed. Int J Nurs Stud. 2011 Jun;48(6):661-71. doi: 10.1016/j.ijnurstu.2011.01.016. Epub 2011 Apr 23.
Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Other Identifiers
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2019-100
Identifier Type: -
Identifier Source: org_study_id
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