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DC Field | Value | Language |
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dc.contributor.author | Kongsomboon K. | |
dc.date.accessioned | 2021-04-05T03:33:15Z | - |
dc.date.available | 2021-04-05T03:33:15Z | - |
dc.date.issued | 2013 | |
dc.identifier.issn | 1252208 | |
dc.identifier.other | 2-s2.0-84876836836 | |
dc.identifier.uri | https://ir.swu.ac.th/jspui/handle/123456789/14129 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876836836&partnerID=40&md5=a513478d5a92f72a4a25662e65b69565 | |
dc.description.abstract | Background: Obesity is increasingly becoming a problem among the Thai people; infant growth rates have been shown to be linked to childhood obesity. Objective: The aim of the present study was to determine the period of infant growth and to identify a cut-off point, in order to be able to predict overweight and obesity in children age 3-4 years at the Well Baby Clinic, Her Royal Highness Princess Maha Chakri Sirindhorn Medical Center (HRH MSMC). Material and Method: The design was retrospective cohort. All subjects born on 2005 at HRH MSMC, in Nakhon Nayok. The author used means of weight and length at 1-6 months, 7-12 months, 13-18 months, 19-24 months and 37-48 months and then constructed a weight-for-length Z score using the LMS method. The difference in Z score between each age group was compared, to predict overweight and obesity at 37-48 months of age. A defined cut-off point, with a receiver operating characteristic (ROC) curve, p-value < 0.05 was regarded as significant. Results: The 227 from newborns were included in the present study. The prevalence of overweight and obesity at 3-4 years of age was 14%. The cut-off point for accelerated growth was ≥ 0.62SD or ≥ 23.2 percentiles (Z score changes from 7-12 months to 13-18 months), with a positive predictive value of 40%. Conclusion: The accelerated change of weight-for-length at 7-12 to 13-18 months of age can be used to predict overweight and obesity at 3-4 years of age at HRH MSMC. | |
dc.subject | article | |
dc.subject | child | |
dc.subject | child growth | |
dc.subject | childhood obesity | |
dc.subject | cohort analysis | |
dc.subject | female | |
dc.subject | growth rate | |
dc.subject | human | |
dc.subject | infant | |
dc.subject | male | |
dc.subject | medical record | |
dc.subject | named inventories, questionnaires and rating scales | |
dc.subject | predictive value | |
dc.subject | preschool child | |
dc.subject | prevalence | |
dc.subject | retrospective study | |
dc.subject | Thailand | |
dc.subject | weight for length Z score | |
dc.subject | Analysis of Variance | |
dc.subject | Child Development | |
dc.subject | Child, Preschool | |
dc.subject | Female | |
dc.subject | Humans | |
dc.subject | Infant | |
dc.subject | Infant, Newborn | |
dc.subject | Male | |
dc.subject | Obesity | |
dc.subject | Predictive Value of Tests | |
dc.subject | Prevalence | |
dc.subject | Retrospective Studies | |
dc.subject | ROC Curve | |
dc.subject | Thailand | |
dc.title | Infant growth rates predict childhood obesity in Her Royal Highness Princess Maha Chakri Sirindhorn Medical Center, Thailand | |
dc.type | Article | |
dc.rights.holder | Scopus | |
dc.identifier.bibliograpycitation | Journal of the Medical Association of Thailand. Vol 96, No.SUPPL.1 (2013), p.S25-S29 | |
Appears in Collections: | Scopus 1983-2021 |
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