Instrumental variable analysis using offspring BMI in childhood as an indicator of parental BMI in relation to mortality

Abstract Childhood BMI shows associations with adult mortality, but these may be influenced by effects of ill health in childhood on BMI and later mortality. To avoid this, we used offspring childhood BMI as an instrumental variable (IV) for own BMI in relation to mortality and compared it with conv...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Kim Blond, David Carslake, Line Klingen Gjærde, Dorte Vistisen, Thorkild I. A. Sørensen, George Davey Smith, Jennifer L. Baker
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/75786fa5bbc8408296a93656db7bc1b7
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:75786fa5bbc8408296a93656db7bc1b7
record_format	dspace
spelling	oai:doaj.org-article:75786fa5bbc8408296a93656db7bc1b72021-11-21T12:21:11ZInstrumental variable analysis using offspring BMI in childhood as an indicator of parental BMI in relation to mortality10.1038/s41598-021-01352-w2045-2322https://doaj.org/article/75786fa5bbc8408296a93656db7bc1b72021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01352-whttps://doaj.org/toc/2045-2322Abstract Childhood BMI shows associations with adult mortality, but these may be influenced by effects of ill health in childhood on BMI and later mortality. To avoid this, we used offspring childhood BMI as an instrumental variable (IV) for own BMI in relation to mortality and compared it with conventional associations of own childhood BMI and own mortality. We included 36,097 parent–offspring pairs with measured heights and weights from the Copenhagen School Health Records Register and register-based information on death. Hazard ratios (HR) were estimated using adjusted Cox regression models. For all-cause mortality, per zBMI at age 7 the conventional HR = 1.07 (95%CI: 1.04–1.09) in women and 1.02 (95%CI: 0.92–1.14) in men, whereas the IV HR = 1.23 (95%CI: 1.15–1.32) in women and 1.05 (95%CI: 0.94–1.17) in men. Per zBMI at age 13, the conventional HR = 1.11 (95%CI: 1.08–1.15) in women and 1.03 (95%CI: 0.99–1.06) in men, whereas the IV HR = 1.30 (95%CI: 1.19–1.42) in women and 1.15 (95%CI: 1.04–1.29) in men. Only conventional models showed indications of J-shaped associations. Our IV analyses suggest that there is a causal relationship between BMI and mortality that is positive at both high and low BMI values.Kim BlondDavid CarslakeLine Klingen GjærdeDorte VistisenThorkild I. A. SørensenGeorge Davey SmithJennifer L. BakerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Kim Blond David Carslake Line Klingen Gjærde Dorte Vistisen Thorkild I. A. Sørensen George Davey Smith Jennifer L. Baker Instrumental variable analysis using offspring BMI in childhood as an indicator of parental BMI in relation to mortality
description	Abstract Childhood BMI shows associations with adult mortality, but these may be influenced by effects of ill health in childhood on BMI and later mortality. To avoid this, we used offspring childhood BMI as an instrumental variable (IV) for own BMI in relation to mortality and compared it with conventional associations of own childhood BMI and own mortality. We included 36,097 parent–offspring pairs with measured heights and weights from the Copenhagen School Health Records Register and register-based information on death. Hazard ratios (HR) were estimated using adjusted Cox regression models. For all-cause mortality, per zBMI at age 7 the conventional HR = 1.07 (95%CI: 1.04–1.09) in women and 1.02 (95%CI: 0.92–1.14) in men, whereas the IV HR = 1.23 (95%CI: 1.15–1.32) in women and 1.05 (95%CI: 0.94–1.17) in men. Per zBMI at age 13, the conventional HR = 1.11 (95%CI: 1.08–1.15) in women and 1.03 (95%CI: 0.99–1.06) in men, whereas the IV HR = 1.30 (95%CI: 1.19–1.42) in women and 1.15 (95%CI: 1.04–1.29) in men. Only conventional models showed indications of J-shaped associations. Our IV analyses suggest that there is a causal relationship between BMI and mortality that is positive at both high and low BMI values.
format	article
author	Kim Blond David Carslake Line Klingen Gjærde Dorte Vistisen Thorkild I. A. Sørensen George Davey Smith Jennifer L. Baker
author_facet	Kim Blond David Carslake Line Klingen Gjærde Dorte Vistisen Thorkild I. A. Sørensen George Davey Smith Jennifer L. Baker
author_sort	Kim Blond
title	Instrumental variable analysis using offspring BMI in childhood as an indicator of parental BMI in relation to mortality
title_short	Instrumental variable analysis using offspring BMI in childhood as an indicator of parental BMI in relation to mortality
title_full	Instrumental variable analysis using offspring BMI in childhood as an indicator of parental BMI in relation to mortality
title_fullStr	Instrumental variable analysis using offspring BMI in childhood as an indicator of parental BMI in relation to mortality
title_full_unstemmed	Instrumental variable analysis using offspring BMI in childhood as an indicator of parental BMI in relation to mortality
title_sort	instrumental variable analysis using offspring bmi in childhood as an indicator of parental bmi in relation to mortality
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/75786fa5bbc8408296a93656db7bc1b7
work_keys_str_mv	AT kimblond instrumentalvariableanalysisusingoffspringbmiinchildhoodasanindicatorofparentalbmiinrelationtomortality AT davidcarslake instrumentalvariableanalysisusingoffspringbmiinchildhoodasanindicatorofparentalbmiinrelationtomortality AT lineklingengjærde instrumentalvariableanalysisusingoffspringbmiinchildhoodasanindicatorofparentalbmiinrelationtomortality AT dortevistisen instrumentalvariableanalysisusingoffspringbmiinchildhoodasanindicatorofparentalbmiinrelationtomortality AT thorkildiasørensen instrumentalvariableanalysisusingoffspringbmiinchildhoodasanindicatorofparentalbmiinrelationtomortality AT georgedaveysmith instrumentalvariableanalysisusingoffspringbmiinchildhoodasanindicatorofparentalbmiinrelationtomortality AT jenniferlbaker instrumentalvariableanalysisusingoffspringbmiinchildhoodasanindicatorofparentalbmiinrelationtomortality
_version_	1718419072775880704

Instrumental variable analysis using offspring BMI in childhood as an indicator of parental BMI in relation to mortality

Ejemplares similares