dc.contributor.author |
Butler, Éadaoin M |
|
dc.contributor.author |
Pillai, Avinesh |
|
dc.contributor.author |
Morton, Susan MB |
|
dc.contributor.author |
Seers, Blake M |
|
dc.contributor.author |
Walker, Caroline G |
|
dc.contributor.author |
Ly, Kien |
|
dc.contributor.author |
Tautolo, El-Shadan |
|
dc.contributor.author |
Glover, Marewa |
|
dc.contributor.author |
Taylor, Rachael W |
|
dc.contributor.author |
Cutfield, Wayne S |
|
dc.contributor.author |
Derraik, José GB |
|
dc.contributor.author |
COPABS Collaborators |
|
dc.coverage.spatial |
England |
|
dc.date.accessioned |
2022-05-10T02:48:30Z |
|
dc.date.available |
2022-05-10T02:48:30Z |
|
dc.date.issued |
2021-03-18 |
|
dc.identifier.citation |
(2021). Scientific Reports, 11(1), 6380-. |
|
dc.identifier.issn |
2045-2322 |
|
dc.identifier.uri |
https://hdl.handle.net/2292/59121 |
|
dc.description.abstract |
Several early childhood obesity prediction models have been developed, but none for New Zealand's diverse population. We aimed to develop and validate a model for predicting obesity in 4-5-year-old New Zealand children, using parental and infant data from the Growing Up in New Zealand (GUiNZ) cohort. Obesity was defined as body mass index (BMI) for age and sex ≥ 95th percentile. Data on GUiNZ children were used for derivation (n = 1731) and internal validation (n = 713). External validation was performed using data from the Prevention of Overweight in Infancy Study (POI, n = 383) and Pacific Islands Families Study (PIF, n = 135) cohorts. The final model included: birth weight, maternal smoking during pregnancy, maternal pre-pregnancy BMI, paternal BMI, and infant weight gain. Discrimination accuracy was adequate [AUROC = 0.74 (0.71-0.77)], remained so when validated internally [AUROC = 0.73 (0.68-0.78)] and externally on PIF [AUROC = 0.74 [0.66-0.82)] and POI [AUROC = 0.80 (0.71-0.90)]. Positive predictive values were variable but low across the risk threshold range (GUiNZ derivation 19-54%; GUiNZ validation 19-48%; and POI 8-24%), although more consistent in the PIF cohort (52-61%), all indicating high rates of false positives. Although this early childhood obesity prediction model could inform early obesity prevention, high rates of false positives might create unwarranted anxiety for families. |
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dc.format.medium |
Electronic |
|
dc.language |
eng |
|
dc.publisher |
Springer Science and Business Media LLC |
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dc.relation.ispartofseries |
Scientific reports |
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dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
|
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
|
dc.rights.uri |
https://creativecommons.org/licenses/by/4.0/ |
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dc.subject |
COPABS Collaborators |
|
dc.subject |
Humans |
|
dc.subject |
Birth Weight |
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dc.subject |
Weight Gain |
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dc.subject |
Body Mass Index |
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dc.subject |
Risk Factors |
|
dc.subject |
Cohort Studies |
|
dc.subject |
Fathers |
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dc.subject |
Pregnancy |
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dc.subject |
Child |
|
dc.subject |
Child, Preschool |
|
dc.subject |
Infant |
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dc.subject |
Infant, Newborn |
|
dc.subject |
New Zealand |
|
dc.subject |
Pacific Islands |
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dc.subject |
Female |
|
dc.subject |
Male |
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dc.subject |
Overweight |
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dc.subject |
Pediatric Obesity |
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dc.subject |
Prevention |
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dc.subject |
Nutrition |
|
dc.subject |
Obesity |
|
dc.subject |
Pediatric |
|
dc.subject |
Cardiovascular |
|
dc.subject |
Cancer |
|
dc.subject |
Science & Technology |
|
dc.subject |
Multidisciplinary Sciences |
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dc.subject |
Science & Technology - Other Topics |
|
dc.subject |
BODY-MASS INDEX |
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dc.subject |
RISK-FACTORS |
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dc.subject |
COHORT PROFILE |
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dc.subject |
GROWING-UP |
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dc.subject |
CHILDREN |
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dc.subject |
WEIGHT |
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dc.subject |
IMPACT |
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dc.subject |
ADIPOSITY |
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dc.title |
A prediction model for childhood obesity in New Zealand. |
|
dc.type |
Journal Article |
|
dc.identifier.doi |
10.1038/s41598-021-85557-z |
|
pubs.issue |
1 |
|
pubs.begin-page |
6380 |
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pubs.volume |
11 |
|
dc.date.updated |
2022-04-19T22:29:18Z |
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dc.rights.holder |
Copyright: The author |
en |
dc.identifier.pmid |
33737627 (pubmed) |
|
pubs.author-url |
https://www.ncbi.nlm.nih.gov/pubmed/33737627 |
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pubs.publication-status |
Published |
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dc.rights.accessrights |
http://purl.org/eprint/accessRights/OpenAccess |
en |
pubs.subtype |
Research Support, Non-U.S. Gov't |
|
pubs.subtype |
research-article |
|
pubs.subtype |
Journal Article |
|
pubs.elements-id |
845371 |
|
pubs.org-id |
Liggins Institute |
|
pubs.org-id |
Medical and Health Sciences |
|
pubs.org-id |
Nursing |
|
pubs.org-id |
Population Health |
|
pubs.org-id |
Social & Community Health |
|
pubs.org-id |
School of Medicine |
|
pubs.org-id |
Paediatrics Child & Youth Hlth |
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dc.identifier.eissn |
2045-2322 |
|
dc.identifier.pii |
10.1038/s41598-021-85557-z |
|
pubs.number |
6380 |
|
pubs.record-created-at-source-date |
2022-04-20 |
|
pubs.online-publication-date |
2021-03-18 |
|