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Prediction of obesity from infancy to adolescence
Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Health Sciences.
Linköping University, Department of Medical and Health Sciences, Social Medicine and Public Health Science. Linköping University, Faculty of Health Sciences.
Östergötlands Läns Landsting, Center for Health and Developmental Care, Center for Public Health.
Linköping University, Department of Medical and Health Sciences, Social Medicine and Public Health Science. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Centre for Public Health Sciences.ORCID iD: 0000-0001-6049-5402
2011 (English)In: Acta Paediatrica, ISSN 0803-5253, E-ISSN 1651-2227, Vol. 100, no 9, 1249-1252 p.Article in journal (Refereed) Published
Abstract [en]

Aim: To examine the development of childhood obesity and to determine the earliest age when estimating body mass using only weight and height data is associated with a corresponding estimate at the age of 15. less thanbrgreater than less thanbrgreater thanMethods: Subjects included are all children born in 1991 in Ostergotland County, Sweden. Weight and height data collected during regular check-ups at well-child centres and school health care assessments up to 15 years of age were assembled from health records. Correlations between childhood estimates of body mass and the body mass index (BMI) at 15 years of age were computed pairwise. Correlations with r andgt; 0.5 were defined as reliably strong. less thanbrgreater than less thanbrgreater thanResults: Complete data were available for 3579 children (62%). Fewer girls (2.6%; C.I. 1.9-3.3) than boys (4.6%; C.I. 3.7-5.5) were obese at 15 years of age. Correlations with BMI at 15 years of age were strong (significantly higher than 0.5) from 5 years of age. Only 23% of girls and 8% of boys found to be obese at 5 years of age were of normal weight at the age of 15. less thanbrgreater than less thanbrgreater thanConclusion: From 5 years of age, point estimates of body mass using only weight and height data are strongly associated with BMI at the age of 15. More data sources are needed to predict weight trajectories in younger children.

Place, publisher, year, edition, pages
Wiley-Blackwell , 2011. Vol. 100, no 9, 1249-1252 p.
Keyword [en]
Childhood obesity, Obesity prevalence, Predictive correlations
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:liu:diva-70319DOI: 10.1111/j.1651-2227.2011.02326.xISI: 000293942500028OAI: oai:DiVA.org:liu-70319DiVA: diva2:438360
Available from: 2011-09-02 Created: 2011-09-02 Last updated: 2017-12-08Bibliographically approved
In thesis
1. Online health promoting communities: Design, implementation and formative evaluation of an intervention
Open this publication in new window or tab >>Online health promoting communities: Design, implementation and formative evaluation of an intervention
2012 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

In Sweden, obesity among children has not yet reached the epidemic proportions reported from other parts of the world. However, among adolescents, being overweight and self-consciousness regarding body shape, diet and exercise influence social, psychological and physical health. Obese children may be in need of secondary prevention because of adverse effects related to obesity, but it is less obvious exactly what to prevent in the rest of the population. General interventions to prevent overweight and obesity are problematic because of the lack of associations for general application; there is a need for personalized community-based health promotion. Online interventions are especially suitable considering the amount of time adolescents spend online.

This thesis takes a design approach to interventions and describes the design of an online health promoting community as a path to health promotion among adolescents. The first two studies use data from the first 15 years of a 1991 cohort living in Östergötland to determine the predictability of obesity from childhood body mass index and to investigate interventions and available evidence to suggest appropriate interventions. The next two studies use these findings to design and formatively evaluate a health promotion intervention.

In Study I we found reasons for offering population-based interventions systematically from 5 years of age. It would be worthwhile identifying at an early age those relatively few children with substantially increased risk of maintaining obesity in adulthood and offering them interventions; but interventions must be avoided when they are not necessary. The projections in Study II indicate that more specified interventions would benefit adolescents without increasing the costs. In Study III, we found than an online health promoting community can be designed simply at relatively low cost and can be negotiated to satisfy both the needs of the user community and public health goals and service capabilities. In Study IV, a checklist for pre-launch evaluation of online health promoting communities was developed and the most important result was the delicate balance between community autonomy and quality control. Future studies addressing health outcome constructs for use in online health promoting community evaluations are warranted.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2012. 78 p.
Series
Linköping University Medical Dissertations, ISSN 0345-0082 ; 1321
National Category
Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
urn:nbn:se:liu:diva-81730 (URN)978-91-7519-827-9 (ISBN)
Public defence
2012-10-29, Aulan, Hälsans Hus, Campus US, Linköpings universitet, Linköping, 13:00 (Swedish)
Opponent
Supervisors
Available from: 2012-09-21 Created: 2012-09-21 Last updated: 2015-06-05Bibliographically approved

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Angbratt, MarianneEkberg, JoakimTimpka, Toomas

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