Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/102339
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dc.contributorDepartment of Rehabilitation Sciencesen_US
dc.creatorZeng, Men_US
dc.creatorChen, Sen_US
dc.creatorFan, Ten_US
dc.creatorYang, Hen_US
dc.creatorCao, Pen_US
dc.creatorWang, Zen_US
dc.creatorZhang, Yen_US
dc.creatorZhang, Yen_US
dc.creatorHunter, Den_US
dc.creatorYang, Qen_US
dc.creatorDing, Cen_US
dc.creatorZhu, Zen_US
dc.date.accessioned2023-10-18T07:51:18Z-
dc.date.available2023-10-18T07:51:18Z-
dc.identifier.issn2214-109Xen_US
dc.identifier.urihttp://hdl.handle.net/10397/102339-
dc.language.isoenen_US
dc.publisherThe Lancet Publishing Groupen_US
dc.rights© 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license (https://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.rightsThe following publication Zeng, M., Chen, S., Fan, T., Yang, H., Cao, P., Wang, Z., ... & Zhu, Z. (2023). Associations of childhood-to-adulthood body size trajectories and genetic susceptibility with the risks of osteoarthritis: a population-based cohort study of UK Biobank data. The Lancet Global Health, 11, suppl. 1, p. S2 is availale at https://doi.org/10.1016/S2214-109X(23)00087-6.en_US
dc.titleAssociations of childhood-to-adulthood body size trajectories and genetic susceptibility with the risks of osteoarthritis : a population-based cohort study of UK Biobank dataen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spageS2en_US
dc.identifier.volume11en_US
dc.identifier.doi10.1016/S2214-109X(23)00087-6en_US
dcterms.abstractBackground: Large adulthood body size was associated with increased risk of osteoarthritis. We aimed to examine the association between body size trajectories from childhood to adulthood and potential interactions with genetic susceptibility on osteoarthritis risk.en_US
dcterms.abstractMethods: We included participants from the UK Biobank aged 38-73 years in 2006-10. Childhood body size information was collected by questionnaire. Adulthood BMI was assessed and transformed into three categories (<25 kg/m2 for normal, 25-29·9 kg/m2 for overweight, and >30 kg/m2 for obesity). A Cox proportional hazards regression model was applied to assess the association between body size trajectories and osteoarthritis incidence. Osteoarthritis-related polygenic risk score (PRS) was constructed to evaluate its interactions with body size trajectories on osteoarthritis risk.en_US
dcterms.abstractFindings: For the 466 292 participants included, we identified nine body size trajectories [thinner to normal (11·6%), overweight (17·2%), or obesity (26·9%); average to normal (11·8%), overweight (16·2%), or obesity (23·7%); and plumper to normal (12·3%), overweight (16·2%), or obesity (23·6%)]. Compared with individuals in the average-to-normal group, all other trajectory groups had higher risks of osteoarthritis, after adjustment for demographic, social-economic and lifestyle covariates (hazard ratios [HRs] 1·05-2·41; all p<0·01). Among them, thinner-to-obesity (HR 2·41; 95% CI 2·23-2·49) had the most prominent association with increased osteoarthritis risk. A high PRS was significantly associated with an increased risk of osteoarthritis (1·14; 1·11-1·16), whereas no interaction between childhood-to-adulthood body size trajectories and PRS on osteoarthritis risks was observed. The population attributable fraction suggested that body size towards normal in adulthood could eliminate osteoarthritis cases by 18·67% for thinner-to-overweight to 38·74% for plumper-to-obesity.en_US
dcterms.abstractInterpretation: Average-to-normal body size seems to be the healthiest childhood-to-adulthood trajectory for osteoarthritis risk, whereas a trajectory of increased body size from thinner to obesity has the highest risk for osteoarthritis. These associations are independent of osteoarthritis genetic susceptibility.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationThe Lancet global health, Mar. 2023, v. 11, suppl. 1, p. S2en_US
dcterms.isPartOfThe Lancet global healthen_US
dcterms.issued2023-03-
dc.identifier.scopus2-s2.0-85149299947-
dc.identifier.pmid36866477-
dc.description.validate202310 bcvcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOS-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; Guangzhou Science and Technology Programen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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