Age-period-cohort analysis for trends in body mass index in Ireland

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dc.contributor.authorJiang, Tao
dc.contributor.authorGilthorpe, Mark S.
dc.contributor.authorShiely, Frances
dc.contributor.authorHarrington, Janas M.
dc.contributor.authorPerry, Ivan J.
dc.contributor.authorKelleher, Cecily C.
dc.contributor.authorTu, Yu-Kang
dc.contributor.funderHealth Research Boarden
dc.contributor.funderMedical Research Council, United Kingdom
dc.date.accessioned2016-02-08T13:31:31Z
dc.date.available2016-02-08T13:31:31Z
dc.date.issued2013-09-25
dc.description.abstractBackground: Obesity is a growing problem worldwide and can often result in a variety of negative health outcomes. In this study we aim to apply partial least squares (PLS) methodology to estimate the separate effects of age, period and cohort on the trends in obesity as measured by body mass index (BMI). Methods: Using PLS we will obtain gender specific linear effects of age, period and cohort on obesity. We also explore and model nonlinear relationships of BMI with age, period and cohort. We analysed the results from 7,796 men and 10,220 women collected through the SLAN (Surveys of Lifestyle, attitudes and Nutrition) in Ireland in the years 1998, 2002 and 2007. Results: PLS analysis revealed a positive period effect over the years. Additionally, men born later tended to have lower BMI (−0.026 kg·m-2 yr-1, 95% CI: -0.030 to −0.024) and older men had in general higher BMI (0.029 kg·m-2 yr-1, 95% CI: 0.026 to 0.033). Similarly for women, those born later had lower BMI (−0.025 kg·m-2 yr-1, 95% CI: -0.029 to −0.022) and older women in general had higher BMI (0.029 kg·m-2 yr-1, 95% CI: 0.025 to 0.033). Nonlinear analyses revealed that BMI has a substantial curvilinear relationship with age, though less so with birth cohort. Conclusion: We notice a generally positive age and period effect but a slightly negative cohort effect. Knowing this, we have a better understanding of the different risk groups which allows for effective public intervention measures to be designed and targeted for these specific population subgroups.en
dc.description.sponsorshipMedical Research Council, United Kingdom (PhD Scholarship for Tao Jiang; Grant Number G1000726 for Mark S.Gilthorpe and Yu-Kang Tu)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid889
dc.identifier.citationJIANG, T., GILTHORPE, M. S., SHIELY, F., HARRINGTON, J. M., PERRY, I. J., KELLEHER, C. C. & TU, Y.-K. 2013. Age-period-cohort analysis for trends in body mass index in Ireland. BMC Public Health, 13:889, 1-7. http://dx.doi.org/10.1186/1471-2458-13-889en
dc.identifier.doi10.1186/1471-2458-13-889
dc.identifier.endpage7en
dc.identifier.issn1471-2458
dc.identifier.journaltitleBMC Public Healthen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/2265
dc.identifier.volume13en
dc.language.isoenen
dc.publisherBioMed Central Ltd.en
dc.rights© Jiang et al.; licensee BioMed Central Ltd. 2013. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://​creativecommons.​org/​licenses/​by/​2.​0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en
dc.rights.uricreativecommons.​org/​licenses/​by/​2.​0en
dc.subjectObesityen
dc.subjectAge-period-cohorten
dc.subjectPartial least squaresen
dc.subjectLocally weighted regressionen
dc.subjectSelf-reported heighten
dc.subjectCardiovascular diseaseen
dc.subjectObesity prevalenceen
dc.subjectBirth cohorten
dc.subjectHealthen
dc.subjectAdultsen
dc.subjectRisken
dc.subjectParticipantsen
dc.titleAge-period-cohort analysis for trends in body mass index in Irelanden
dc.typeArticle (peer-reviewed)en
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