{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T07:48:52Z","timestamp":1790668132234,"version":"4.1.0"},"reference-count":31,"publisher":"BMJ","issue":"8","content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"accepted":{"date-parts":[[2016,7,14]]},"published-print":{"date-parts":[[2016,8]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Childhood obesity studies rely on parentally reported anthropometrics. However, the accuracy of such data has not been evaluated for 12-month-old children. Moreover, methods to improve the accuracy of reported data have not been assessed in prior studies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A total of 185 children enrolled in a northern Virginia childhood longitudinal cohort genomic study had parentally completed surveys at 12\u2005months. Measured weights and lengths were recorded for the same children from their 12-month paediatrician visit. Weight for length percentiles were calculated using World Health Organization gender-specific growth charts. The agreement between reported and measured values was examined using Pearson's correlation, paired t-test and \u03ba statistics. The interquartile outlier rule was used to detect and remove outliers.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Parentally reported weight was strongly associated with measured weight at 12\u2005months (r=0.90). There was only a moderate correlation between parentally reported and measured lengths (r=0.52) and calculated weight for length percentiles (r=0.65). After removing outliers from parentally reported data, there was an increase in correlation between parentally reported and measured data for weight (r=0.93), length (r=0.69) and weight for length percentiles (r=0.76). Outliers removed compared to all children included were more likely to have maternal education less than a bachelor's degree (p=0.007).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>After removal of outliers from reported data, there is a strong correlation between calculated reported and measured weight for length percentiles suggesting that this may be an effective method to increase accuracy when conducting large-scale obesity studies in young children where study costs benefit from using parentally reported data.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjopen-2016-011653","type":"journal-article","created":{"date-parts":[[2016,8,4]],"date-time":"2016-08-04T22:43:25Z","timestamp":1470350605000},"page":"e011653","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":16,"title":["Investigating the accuracy of parentally reported weights and lengths at 12\u2005months of age as compared to measured weights and lengths in a longitudinal childhood genome study"],"prefix":"10.1136","volume":"6","author":[{"given":"Sahel","family":"Hazrati","sequence":"first","affiliation":[{"name":"Inova Translational Medicine Institute, Falls Church, Virginia, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Suchitra K","family":"Hourigan","sequence":"additional","affiliation":[{"name":"Inova Translational Medicine Institute, Falls Church, Virginia, USA"},{"name":"Inova Children's Hospital, Falls Church, Virginia, USA"},{"name":"Pediatric Specialists of Virginia, Fairfax, Virginia, USA"},{"name":"Johns Hopkins School of Medicine, Baltimore, Maryland, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Allison","family":"Waller","sequence":"additional","affiliation":[{"name":"Children's National Medical Center, Washington, District of Columbia, 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