{"corpus_id":7092121,"paper_sha":"150d4a0f392e941dc6719e533b4214e991c02672","doi":"10.1136/bmjopen-2016-011653","arxiv_id":null,"pmid":27491670,"pmcid":"4985980","mag_id":2499470910,"dblp_id":null,"acl_id":null,"title":"Investigating the accuracy of parentally reported weights and lengths at 12 months of age as compared to measured weights and lengths in a longitudinal childhood genome study","year":2016,"publication_date":"2016-08-01","venue":"BMJ Open","journal":{"name":"BMJ Open","pages":null,"volume":"6"},"journal_issn":null,"journal_title":null,"publication_types":["JournalArticle","Review"],"pubmed_pub_types":["Journal Article","Research Support, Non-U.S. Gov't"],"s2_fields_of_study":["Medicine"],"reference_count":34,"citation_count":13,"influential_citation_count":0,"is_open_access":true,"arxiv_categories":null,"arxiv_license":null,"arxiv_journal_ref":null,"mesh_headings":[{"d":"Body Height","mj":true,"ui":"D001827"},{"d":"Body Mass Index","mj":false,"ui":"D015992"},{"d":"Body Weight","mj":true,"ui":"D001835"},{"d":"Data Accuracy","mj":false,"ui":"D000068598"},{"d":"Female","mj":false,"ui":"D005260"},{"d":"Humans","mj":false,"ui":"D006801"},{"d":"Infant","mj":false,"ui":"D007223"},{"d":"Longitudinal Studies","mj":false,"ui":"D008137"},{"d":"Male","mj":false,"ui":"D008297"},{"d":"Parents","mj":true,"ui":"D010290"},{"d":"Pediatric Obesity","mj":false,"qs":[{"q":"diagnosis","mj":true,"ui":"Q000175"},{"q":"epidemiology","mj":false,"ui":"Q000453"}],"ui":"D063766"},{"d":"Reference Values","mj":false,"ui":"D012016"},{"d":"Surveys and Questionnaires","mj":false,"ui":"D011795"},{"d":"Virginia","mj":false,"qs":[{"q":"epidemiology","mj":false,"ui":"Q000453"}],"ui":"D014768"},{"d":"World Health Organization","mj":false,"ui":"D014944"}],"chemicals":null,"comments_corrections":null,"source_flags":5,"s2_open_access_pdf_url":"https://bmjopen.bmj.com/content/bmjopen/6/8/e011653.full.pdf","s2_open_access_landing_url":"https://www.semanticscholar.org/paper/150d4a0f392e941dc6719e533b4214e991c02672","s2_open_access_license":"CCBYNC","s2_open_access_status":"GOLD","pmc_open_access_pdf_url":null,"pmc_open_access_landing_url":null,"pmc_open_access_license":null,"pmc_open_access_status":null,"unpaywall_open_access_pdf_url":null,"unpaywall_open_access_landing_url":null,"unpaywall_open_access_license":null,"unpaywall_open_access_status":null,"abstract":"Background 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. Methods A total of 185 children enrolled in a northern Virginia childhood longitudinal cohort genomic study had parentally completed surveys at 12 months. 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 κ statistics. The interquartile outlier rule was used to detect and remove outliers. Results Parentally reported weight was strongly associated with measured weight at 12 months (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). Conclusions 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.","claims":[{"public_id":"cl_2137144fc89735eb2cd65d68f3d5a3d3","status":"active","text":"After removing outliers from parentally reported data using the interquartile outlier rule, correlations improved for weight (r=0.93), length (r=0.69), and weight-for-length percentiles (r=0.76).","confidence":0.95,"contributors":[{"id":32,"public_id":"7c402c1b98","public_label":"뀨 (7c402c1b98)","roles":["extraction"],"url":"https://sah.borca.ai/u/7c402c1b98"},{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["review"],"url":"https://sah.borca.ai/u/12632b8b5f"},{"id":17,"public_id":"322360f1c1","public_label":"Killer 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