Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
February 3, 2015Blood Pressure MonitoringOpen Access

Validating prediction equations for mid-arm circumference measurements in adults

View Full Paper
Ask AI
Bookmark
Share

Why the study?

Do regression equations using height and weight accurately predict mid-arm circumference for appropriate BP cuff selection in adults?

Population

29,745 participants aged 20 years and older from the 2001-2012 National Health and Nutrition Examination…

Comparison

Regression equations to predict mid-arm… vs Directly measured mid-arm circumference

Design

Cross-sectional

Authors

TNTatiana NwankwoCenters for Disease Control and PreventionYOYechiam OstchegaPreventive CardiologyGZGuangyu ZhangGuangzhou Institutes of Biomedicine and Health

Discussion

Loading...

Member takes

Implication

May assist cuff selection when direct measurement unavailable; leaves open need for prospective validation.

Structured PICO

Do regression equations using height and weight accurately predict mid-arm circumference for appropriate BP cuff selection in adults?

P
Population
29,745 participants aged 20 years and older from the 2001-2012 National Health and Nutrition Examination Survey (NHANES), representing the civilian, noninstitutionalized US resident population.
I
Intervention
Regression equations to predict mid-arm circumference (mid-AC) using height and weight data
C
Comparator
Directly measured mid-arm circumference
O
Outcome
Correlation between predicted and measured mid-AC values and percent agreement for selecting the appropriate BP cuffsurrogate

Prediction equations using height and weight can estimate mid-arm circumference with high correlation and 80-83% agreement for selecting appropriate BP cuff sizes when direct measurement is not possible.

Cite This Study

Nwankwo et al. (2015) studied this question.

synapsesocial.com/papers/6a066627d3fffcff0673a71fhttps://doi.org/10.1097/mbp.0000000000000107
View Full Paper
Ask AI
Bookmark
Share