>
Fa   |   Ar   |   En
   A comparison between atlantic canadian and national correction equations to improve the accuracy of self-reported obesity estimates in atlantic canada  
   
نویسنده murray c.l. ,walsh g.w. ,connor gorber s.
منبع journal of obesity - 2012 - دوره : 2012 - شماره : 0
چکیده    Objectives. to determine whether obesity correction equations for the canadian general population,which are dependent on the prevalence of obesity,are appropriate for use in atlantic canada,which has the highest obesity rates in the country. also,to compare the accuracy of the national equations to equations developed specifically for the atlantic canadian population. methods. the dataset consisted of canadian community health survey (cchs) 2007-2008 data collected on 17,126 atlantic canadians and a subsample of adults,who provided measured height and weight (mhw) data. atlantic correction equations were developed in the mhw subsample. using separate multiple regression models for men and women,self-reported body mass index (bmi) was corrected by multiplying the self-reported estimate by its corresponding model coefficient and adding the model intercept. paired t-tests were used to determine whether corrected mean bmi values were significantly more accurate (i.e.,closer to measured data) than the equivalent means based on self-reported data. the analyses were repeated using the national equations. results. both the atlantic and the national equations yielded corrected obesity estimates that were significantly more accurate than those based on self-report. conclusion. the results provide some evidence of the generalizability of the national equations to atypical regions of canada. © 2012 cynthia l. murray et al.
آدرس school of nursing,memorial university,st. john's, Canada, surveillance and epidemiology unit,cancer care nova scotia,halifax, Canada, center for chronic disease prevention and control,public health agency of canada,ottawa, Canada
 
     
   
Authors
  
 
 

Copyright 2023
Islamic World Science Citation Center
All Rights Reserved