NURSING ESTIMATION: BODY WEIGHT FROM UPPER ARM CIRCUMFERENCE.
Contributors: University of Colorado Health Sciences Center.
Published: 1994
Number of pages: 171
Subjects: Health Sciences, Nursing.; Health Sciences, Human Development.; Anthropology, Physical.; Biology, Biostatistics.
Description: In today's emergency care setting, obtaining an adult patient's weight is frequently difficult. Weight is a critical piece of patient information, as most medication dosages and fluid replacement volumes are based on weight. The purpose of this study was to develop a norm-referenced conversion table that can be used by nurses and other health care providers in clinical settings to estimate total adult body weight from a measure of upper arm circumference. This methodological study utilized Generalizability Theory. Two studies were conducted: a generalizability study and a decision study. The purpose of the generalizability study was to establish the protocol for data collection, and estimate generalizability of data. The purpose of the decision study was to estimate the validity of the upper arm circumference as an indicator of total body weight; test the effect of the variables age, sex, race, and weight lifting on the relationship between upper arm circumference and body weight; and develop a conversion table from normative data to precisely estimate body weight from a measure of upper arm circumference.

The generalizability study sample consisted of 307 participants recruited during one day of a health fair. The estimated generalizability coefficient indicated that reliable data could be obtained with multiple data collectors at multiple health fair sites.

The decision study was conducted over nine days of a health fair. Twenty-four data collectors weighed and measured 3,264 participants. Intra-rater and inter-rater technical error of measurement demonstrated that the error in measurements was well within the acceptable standard for anthropometric measurements. The overall correlation of upper arm circumference and body weight was r =.88 (p $<$ 001).

A hierarchical multiple regression analysis was utilized to analyze the additional contribution of age, sex, race, and weight lifting to arm circumference predicting body weight. Although each variable contributed a statistically significant portion of the variance in weight, with the exception of sex, the magnitude of variance accounted for in weight was minimal, hence, clinically insignificant. A regression equation was used to convert a measurement of upper arm circumference to body weight. From these conversions, the Weight Estimation Chart was developed to convert a measure of the upper arm circumference to weight for each sex.
Notes: Source: Dissertation Abstracts International, Volume: 55-05, Section: B, page: 1803.

Thesis (PH.D.)--UNIVERSITY OF COLORADO HEALTH SCIENCES CENTER, 1994.

School code: 0831.