Article: Self-reported body weight and height: an assessment tool for identifying children with overweight/obesity status and cardiometabolic risk factors clustering

File Download
  • No File Attached
Links for fulltext
(May Require Subscription)
Supplementary
  • Basic View
  • Metadata View
  • XML View
TitleSelf-reported body weight and height: an assessment tool for identifying children with overweight/obesity status and cardiometabolic risk factors clustering
AuthorsChan, NPT1
Choi, KC2
Nelson, EAS2
Sung, RYT2
Chan, JCN2
Kong, APS2
KeywordsCardiometabolic risk factors
Childhood overweight and obesity
Self-reported body weight and height
Issue Date2013
PublisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=1092-7875
CitationMaternal and Child Health Journal, 2013, v. 17 n. 2, p. 282-291 [How to Cite?]
DOI: http://dx.doi.org/10.1007/s10995-012-0972-4
AbstractBody mass index (BMI) is commonly used for assessing body fat. Self-reported body weight and height derived BMI (SRDBMI) is a simple, low cost and non-invasive assessment tool and it may be a useful self-reported assessment tool to monitor the prevalence of overweight/obesity in community settings and for epidemiological research. We assessed the agreement of BW and BH between assessor measured and child self-reported values and evaluated the diagnostic ability of SRDBMI to identify children with overweight/obesity status and cardiometabolic risk factors (CMRFs) clustering. A cross-sectional study was conducted in school settings using a cluster sampling method. A total of 1,614 children aged 6-18 years were included in the analysis. Children were given a questionnaire to complete at home prior to the anthropometric measurements and blood taking at the schools. There was almost perfect agreement on BW, BH and BMI between self-reported and measured values [intraclass correlation coefficients ranged from 0.93 (95% CI: 0.93-0.94) to 0.99 (95% CI: 0.98-0.99)]. About half of the children reported their BW and BH absolute values within 1 kg and 2 cm of measured values, respectively. The SRDBMI demonstrated good diagnostic ability for identifying children with overweight/obesity status (sensitivity, specificity, positive and negative predictive values ranged from 0.83 to 0.98) and CMRFs clustering (AUC-ROCs values of BMI between measured and self-reported values were close ranging from 0.85 to 0.89). Self-reported BW and BH demonstrated almost perfect agreement with measured values and could substantially identify children with overweight/obesity status and CMRFs clustering. © 2012 Springer Science+Business Media, LLC.
ISSN1092-7875
2011 Impact Factor: 2.243
2011 SCImago Journal Rankings: 0.131
DOIhttp://dx.doi.org/10.1007/s10995-012-0972-4
DC Field
Value
dc.contributor.authorChan, NPT
dc.contributor.authorChoi, KC
dc.contributor.authorNelson, EAS
dc.contributor.authorSung, RYT
dc.contributor.authorChan, JCN
dc.contributor.authorKong, APS
dc.date.accessioned2012-08-16T06:08:50Z
dc.date.available2012-08-16T06:08:50Z
dc.date.issued2013
dc.description.abstractBody mass index (BMI) is commonly used for assessing body fat. Self-reported body weight and height derived BMI (SRDBMI) is a simple, low cost and non-invasive assessment tool and it may be a useful self-reported assessment tool to monitor the prevalence of overweight/obesity in community settings and for epidemiological research. We assessed the agreement of BW and BH between assessor measured and child self-reported values and evaluated the diagnostic ability of SRDBMI to identify children with overweight/obesity status and cardiometabolic risk factors (CMRFs) clustering. A cross-sectional study was conducted in school settings using a cluster sampling method. A total of 1,614 children aged 6-18 years were included in the analysis. Children were given a questionnaire to complete at home prior to the anthropometric measurements and blood taking at the schools. There was almost perfect agreement on BW, BH and BMI between self-reported and measured values [intraclass correlation coefficients ranged from 0.93 (95% CI: 0.93-0.94) to 0.99 (95% CI: 0.98-0.99)]. About half of the children reported their BW and BH absolute values within 1 kg and 2 cm of measured values, respectively. The SRDBMI demonstrated good diagnostic ability for identifying children with overweight/obesity status (sensitivity, specificity, positive and negative predictive values ranged from 0.83 to 0.98) and CMRFs clustering (AUC-ROCs values of BMI between measured and self-reported values were close ranging from 0.85 to 0.89). Self-reported BW and BH demonstrated almost perfect agreement with measured values and could substantially identify children with overweight/obesity status and CMRFs clustering. © 2012 Springer Science+Business Media, LLC.
dc.description.naturelink_to_subscribed_fulltext
dc.identifier.citationMaternal and Child Health Journal, 2013, v. 17 n. 2, p. 282-291 [How to Cite?]
DOI: http://dx.doi.org/10.1007/s10995-012-0972-4
dc.identifier.citeulike10439941
dc.identifier.doihttp://dx.doi.org/10.1007/s10995-012-0972-4
dc.identifier.epage10
dc.identifier.hkuros203135
dc.identifier.issn1092-7875
2011 Impact Factor: 2.243
2011 SCImago Journal Rankings: 0.131
dc.identifier.openurl
dc.identifier.scopuseid_2-s2.0-84857666523
dc.identifier.spage1
dc.identifier.urihttp://hdl.handle.net/10722/160360
dc.languageeng
dc.publisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=1092-7875
dc.publisher.placeUnited States
dc.relation.ispartofMaternal and Child Health Journal
dc.rightsThe original publication is available at www.springerlink.com
dc.subjectCardiometabolic risk factors
dc.subjectChildhood overweight and obesity
dc.subjectSelf-reported body weight and height
dc.titleSelf-reported body weight and height: an assessment tool for identifying children with overweight/obesity status and cardiometabolic risk factors clustering
dc.typeArticle
Author Affiliations
  1. The University of Hong Kong
  2. Chinese University of Hong Kong