Skip Navigation LinksHome > September/October 2014 - Volume 20 - Issue 5 > Self-Reported Health Parameters Compared With Clinician Meas...
Journal of Public Health Management & Practice:
doi: 10.1097/PHH.0b013e3182a998fd
Original Articles

Self-Reported Health Parameters Compared With Clinician Measurements: Methods in Practice-Based Research

Murphy, Gwendolyn MS, PhD; Snetselaar, Linda PhD; Myers, Esther PhD; LaForge, Betsy MPH; Qualls, Laura G. MS; Hand, Rosa K. MS; Blackwelder, Stephen PhD; Bradley, Don MD, MHS-CL

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Abstract

Context: Self-reported health data are used by health insurance companies to assess risk. Most studies show underreporting compared with clinical measurements.

Objective: To compare self-reported height, weight, blood pressure, waist circumference, and dietary intake with registered dietitian's (RD's) measures of the same parameters.

Design: This is a secondary analysis of data collected in a larger study on the benefits of Medical Nutrition Therapy from an RD for overweight and obese patients when provided free of charge through an insurance benefit.

Setting: Participants completed a health risk assessment survey at home, from which the self-reported measures were extracted. The clinical measurements were taken by an RD in the office during a visit for Medical Nutrition Therapy.

Participants: Participants were 81.4% female, with a mean body mass index of 35.0. All were insured and had a least 1 visit with an RD.

Main Outcome Measure(s): Main outcomes were correlation between self-reported and RD-measured height, weight, body mass index, blood pressure, and waist circumference. Blood pressure was categorized as normal or high and the κ statistic was used to examine category agreement between the 2 measures. Servings of food groups were compared between the 2 measures by examining cumulative percent within 0, 1, or 2 servings of the RD-measured value.

Results: The 2 measures of height and weight were highly correlated (0.974 and 0.986, respectively). Blood pressure was more weakly correlated and when categorized had low κ scores, as did servings of food groups.

Conclusions: Height and weight were more closely correlated than in previous studies. In an insured population enrolled in a weight management program, self-reported measures may be accurate for determining program impact. Blood pressure may be better collected categorically than continuously. The necessity of food intake assessment on a risk assessment should be reconsidered.

© 2014 Lippincott Williams & Wilkins, Inc.

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