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

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Instrumental variable analysis using offspring BMI in childhood as an indicator of parental BMI in relation to mortality. / Blond, Kim; Carslake, David; Gjærde, Line Klingen; Vistisen, Dorte; Sørensen, Thorkild I.A.; Smith, George Davey; Baker, Jennifer L.

In: Scientific Reports, Vol. 11, No. 1, 22408, 2021.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Blond, K, Carslake, D, Gjærde, LK, Vistisen, D, Sørensen, TIA, Smith, GD & Baker, JL 2021, 'Instrumental variable analysis using offspring BMI in childhood as an indicator of parental BMI in relation to mortality', Scientific Reports, vol. 11, no. 1, 22408. https://doi.org/10.1038/s41598-021-01352-w

APA

Blond, K., Carslake, D., Gjærde, L. K., Vistisen, D., Sørensen, T. I. A., Smith, G. D., & Baker, J. L. (2021). Instrumental variable analysis using offspring BMI in childhood as an indicator of parental BMI in relation to mortality. Scientific Reports, 11(1), [22408]. https://doi.org/10.1038/s41598-021-01352-w

Vancouver

Blond K, Carslake D, Gjærde LK, Vistisen D, Sørensen TIA, Smith GD et al. Instrumental variable analysis using offspring BMI in childhood as an indicator of parental BMI in relation to mortality. Scientific Reports. 2021;11(1). 22408. https://doi.org/10.1038/s41598-021-01352-w

Author

Blond, Kim ; Carslake, David ; Gjærde, Line Klingen ; Vistisen, Dorte ; Sørensen, Thorkild I.A. ; Smith, George Davey ; Baker, Jennifer L. / Instrumental variable analysis using offspring BMI in childhood as an indicator of parental BMI in relation to mortality. In: Scientific Reports. 2021 ; Vol. 11, No. 1.

Bibtex

@article{aeb463c1aed74642b0e26ab4d6c2dae5,
title = "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 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.",
author = "Kim Blond and David Carslake and Gj{\ae}rde, {Line Klingen} and Dorte Vistisen and S{\o}rensen, {Thorkild I.A.} and Smith, {George Davey} and Baker, {Jennifer L.}",
note = "Publisher Copyright: {\textcopyright} 2021, The Author(s).",
year = "2021",
doi = "10.1038/s41598-021-01352-w",
language = "English",
volume = "11",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "nature publishing group",
number = "1",

}

RIS

TY - JOUR

T1 - Instrumental variable analysis using offspring BMI in childhood as an indicator of parental BMI in relation to mortality

AU - Blond, Kim

AU - Carslake, David

AU - Gjærde, Line Klingen

AU - Vistisen, Dorte

AU - Sørensen, Thorkild I.A.

AU - Smith, George Davey

AU - Baker, Jennifer L.

N1 - Publisher Copyright: © 2021, The Author(s).

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

U2 - 10.1038/s41598-021-01352-w

DO - 10.1038/s41598-021-01352-w

M3 - Journal article

C2 - 34789785

AN - SCOPUS:85119252968

VL - 11

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

IS - 1

M1 - 22408

ER -

ID: 285943803