Repository logo
  • Log In
    Log in via Symplectic to deposit your publication(s).
Repository logo
  • Communities & Collections
  • Research Outputs
  • Statistics
  • Log In
    Log in via Symplectic to deposit your publication(s).
  1. Home
  2. Faculty of Medicine
  3. School of Public Health
  4. School of Public Health
  5. Association of socioeconomic position and childhood obesity in Finland: a registry-based study
 
  • Details
Association of socioeconomic position and childhood obesity in Finland: a registry-based study
File(s)
Association of socioeconomic position and childhood obesity in Finland a registry-based study.pdf (745.62 KB)
Published version
Author(s)
Paalanen, Laura
Levalahti, Esko
Maki, Paivi
Tolonen, Hanna
Sassi, Franco
more
Type
Journal Article
Abstract
Objective To identify what dimensions of socioeconomic position (SEP) are most closely associated with childhood obesity in Finland, leveraging population-wide data among the whole child population aged 2–17 years in Finland.

Design Registry-based study.

Setting Data from several administrative registries linked on individual level covering the whole of Finland were used. Data on height and weight measurements in 2018 were obtained from the Register of Primary Health Care visits and data on sociodemographic and socioeconomic indicators (2014–2018) from Statistics Finland.

Participants Children aged 2–17 years with valid height and weight measurements performed at the child health clinic or school healthcare in 2018 (final n=194 423).

Main outcome measures Obesity was defined according to WHO Growth Reference curves. Sociodemographic and socioeconomic indicators were linked on individual level for adults (both parents) who lived in the same household (42 predictors). Boosted regression model was used to analyse the contribution of SEP to obesity.

Results From socioeconomic indicators, annual household income (12.6%) and mother and father’s educational level (12.6% and 8.1%, respectively) had the highest relative influence on obesity risk. The relative influence of a child’s sex was 7.7%.

Conclusions The parents’ SEP was inversely associated with obesity among the offspring. A remarkable number of objective SEP indicators were analysed with parents’ education and household income finally being the indicators most strongly associated with obesity among children. In future research, more attention should be paid to reliable and objective ways of measuring educational status and income rather than on developing new SEP indicators. Administrative registries with information on both healthcare and socioeconomic indicators can in future provide better opportunities to assess the influence of SEP on various health risks.
Date Issued
2022-12
Date Acceptance
2022-12-15
Citation
BMJ Open, 2022, 12 (12), pp.1-9
URI
http://hdl.handle.net/10044/1/103668
URL
https://bmjopen.bmj.com/content/12/12/e068748
DOI
https://www.dx.doi.org/10.1136/bmjopen-2022-068748
ISSN
2044-6055
Publisher
BMJ Publishing Group
Start Page
1
End Page
9
Journal / Book Title
BMJ Open
Volume
12
Issue
12
Copyright Statement
© Author(s) (or their
employer(s)) 2022. Re-use
permitted under CC BY-NC. No
commercial re-use. See rights
and permissions. Published by
BMJ.
License URL
https://creativecommons.org/licenses/by-nc/4.0/
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000924517900056&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
General & Internal Medicine
HEALTH
INCOME
INDICATORS
Life Sciences & Biomedicine
Medicine, General & Internal
PAEDIATRICS
PRIMARY CARE
PUBLIC HEALTH
Science & Technology
SOCIAL MEDICINE
Publication Status
Published
Article Number
ARTN e068748
Date Publish Online
2022-12-29
About
Spiral Depositing with Spiral Publishing with Spiral Symplectic
Contact us
Open access team Report an issue
Other Services
Scholarly Communications Library Services
logo

Imperial College London

South Kensington Campus

London SW7 2AZ, UK

tel: +44 (0)20 7589 5111

Accessibility Modern slavery statement Cookie Policy

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback