Relation between infant microbiota and autism? - Results from a national cohort sibling-design study

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Standard

Relation between infant microbiota and autism? - Results from a national cohort sibling-design study. / Axelsson, Paul Bryde; Clausen, Tine Dalsgaard; Petersen, Anne Helby; Hageman, Ida; Pinborg, Anja; Kessing, Lars Vedel; Bergholt, Thomas; Rasmussen, Steen Christian; Keiding, Niels; Kessing, Lars Vedel.

I: Epidemiology (Cambridge, Mass.), Bind 30, Nr. 1, 2019, s. 52-60.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Axelsson, PB, Clausen, TD, Petersen, AH, Hageman, I, Pinborg, A, Kessing, LV, Bergholt, T, Rasmussen, SC, Keiding, N & Kessing, LV 2019, 'Relation between infant microbiota and autism? - Results from a national cohort sibling-design study', Epidemiology (Cambridge, Mass.), bind 30, nr. 1, s. 52-60. https://doi.org/10.1097/EDE.0000000000000928

APA

Axelsson, P. B., Clausen, T. D., Petersen, A. H., Hageman, I., Pinborg, A., Kessing, L. V., Bergholt, T., Rasmussen, S. C., Keiding, N., & Kessing, L. V. (2019). Relation between infant microbiota and autism? - Results from a national cohort sibling-design study. Epidemiology (Cambridge, Mass.), 30(1), 52-60. https://doi.org/10.1097/EDE.0000000000000928

Vancouver

Axelsson PB, Clausen TD, Petersen AH, Hageman I, Pinborg A, Kessing LV o.a. Relation between infant microbiota and autism? - Results from a national cohort sibling-design study. Epidemiology (Cambridge, Mass.). 2019;30(1):52-60. https://doi.org/10.1097/EDE.0000000000000928

Author

Axelsson, Paul Bryde ; Clausen, Tine Dalsgaard ; Petersen, Anne Helby ; Hageman, Ida ; Pinborg, Anja ; Kessing, Lars Vedel ; Bergholt, Thomas ; Rasmussen, Steen Christian ; Keiding, Niels ; Kessing, Lars Vedel. / Relation between infant microbiota and autism? - Results from a national cohort sibling-design study. I: Epidemiology (Cambridge, Mass.). 2019 ; Bind 30, Nr. 1. s. 52-60.

Bibtex

@article{86f07ed9cb1a4d038d39bbabf836a3bd,
title = "Relation between infant microbiota and autism? - Results from a national cohort sibling-design study",
abstract = "BACKGROUND: Hypotheses concerning adverse effects of changes in microbiota have received much recent attention, but unobserved confounding makes them difficult to test. We investigated whether surrogate markers for potential adverse microbiota changes in infancy affected autism risk, addressing unobserved confounding using a sibling study design.METHODS: This is a population-based, prospective cohort study including all singleton live births in Denmark from 1997 to 2010. The exposure variables were cesarean delivery and antibiotic use in the first 2 years of life. The outcome was a subsequent autism diagnosis. We used the between-within sibling model and compared it with sibling stratified Cox models and simpler standard Cox models that ignored sibship.RESULTS: Of our study population including 671,606 children, who were followed for up to 15 years (7,341,133 person-years), 72% received antibiotics, 17.5% were delivered by cesarean, and 1.2% (8,267) developed autism. The standard Cox models predicted that both cesarean (compared to vaginal) delivery and antibiotics increased the risk of autism. In the sibling-stratified Cox model, only broader spectrum antibiotics were associated with increased risk of autism: hazard ratio (HR) 1.16 (95% confidence interval, 1.01-1.36). The between-within model estimated no exposure effects: intrapartum cesarean HR 1.06 (0.89-1.26); pre-labor cesarean HR 0.97 (0.83-1.15); exclusively penicillin HR 1.05 (0.93-1.18); broader spectrum antibiotics HR 1.05 (0.95-1.16).CONCLUSIONS: The between-within model rendered more precise estimates than sibling-stratified Cox models, and we believe also provided more valid estimates. Results from these preferred models do not support a causal relation between antibiotic treatment during infancy, cesarean delivery, and autism.",
author = "Axelsson, {Paul Bryde} and Clausen, {Tine Dalsgaard} and Petersen, {Anne Helby} and Ida Hageman and Anja Pinborg and Kessing, {Lars Vedel} and Thomas Bergholt and Rasmussen, {Steen Christian} and Niels Keiding and Kessing, {Lars Vedel}",
year = "2019",
doi = "10.1097/EDE.0000000000000928",
language = "English",
volume = "30",
pages = "52--60",
journal = "Epidemiology",
issn = "1044-3983",
publisher = "Lippincott Williams & Wilkins",
number = "1",

}

RIS

TY - JOUR

T1 - Relation between infant microbiota and autism? - Results from a national cohort sibling-design study

AU - Axelsson, Paul Bryde

AU - Clausen, Tine Dalsgaard

AU - Petersen, Anne Helby

AU - Hageman, Ida

AU - Pinborg, Anja

AU - Kessing, Lars Vedel

AU - Bergholt, Thomas

AU - Rasmussen, Steen Christian

AU - Keiding, Niels

AU - Kessing, Lars Vedel

PY - 2019

Y1 - 2019

N2 - BACKGROUND: Hypotheses concerning adverse effects of changes in microbiota have received much recent attention, but unobserved confounding makes them difficult to test. We investigated whether surrogate markers for potential adverse microbiota changes in infancy affected autism risk, addressing unobserved confounding using a sibling study design.METHODS: This is a population-based, prospective cohort study including all singleton live births in Denmark from 1997 to 2010. The exposure variables were cesarean delivery and antibiotic use in the first 2 years of life. The outcome was a subsequent autism diagnosis. We used the between-within sibling model and compared it with sibling stratified Cox models and simpler standard Cox models that ignored sibship.RESULTS: Of our study population including 671,606 children, who were followed for up to 15 years (7,341,133 person-years), 72% received antibiotics, 17.5% were delivered by cesarean, and 1.2% (8,267) developed autism. The standard Cox models predicted that both cesarean (compared to vaginal) delivery and antibiotics increased the risk of autism. In the sibling-stratified Cox model, only broader spectrum antibiotics were associated with increased risk of autism: hazard ratio (HR) 1.16 (95% confidence interval, 1.01-1.36). The between-within model estimated no exposure effects: intrapartum cesarean HR 1.06 (0.89-1.26); pre-labor cesarean HR 0.97 (0.83-1.15); exclusively penicillin HR 1.05 (0.93-1.18); broader spectrum antibiotics HR 1.05 (0.95-1.16).CONCLUSIONS: The between-within model rendered more precise estimates than sibling-stratified Cox models, and we believe also provided more valid estimates. Results from these preferred models do not support a causal relation between antibiotic treatment during infancy, cesarean delivery, and autism.

AB - BACKGROUND: Hypotheses concerning adverse effects of changes in microbiota have received much recent attention, but unobserved confounding makes them difficult to test. We investigated whether surrogate markers for potential adverse microbiota changes in infancy affected autism risk, addressing unobserved confounding using a sibling study design.METHODS: This is a population-based, prospective cohort study including all singleton live births in Denmark from 1997 to 2010. The exposure variables were cesarean delivery and antibiotic use in the first 2 years of life. The outcome was a subsequent autism diagnosis. We used the between-within sibling model and compared it with sibling stratified Cox models and simpler standard Cox models that ignored sibship.RESULTS: Of our study population including 671,606 children, who were followed for up to 15 years (7,341,133 person-years), 72% received antibiotics, 17.5% were delivered by cesarean, and 1.2% (8,267) developed autism. The standard Cox models predicted that both cesarean (compared to vaginal) delivery and antibiotics increased the risk of autism. In the sibling-stratified Cox model, only broader spectrum antibiotics were associated with increased risk of autism: hazard ratio (HR) 1.16 (95% confidence interval, 1.01-1.36). The between-within model estimated no exposure effects: intrapartum cesarean HR 1.06 (0.89-1.26); pre-labor cesarean HR 0.97 (0.83-1.15); exclusively penicillin HR 1.05 (0.93-1.18); broader spectrum antibiotics HR 1.05 (0.95-1.16).CONCLUSIONS: The between-within model rendered more precise estimates than sibling-stratified Cox models, and we believe also provided more valid estimates. Results from these preferred models do not support a causal relation between antibiotic treatment during infancy, cesarean delivery, and autism.

U2 - 10.1097/EDE.0000000000000928

DO - 10.1097/EDE.0000000000000928

M3 - Journal article

C2 - 30273187

VL - 30

SP - 52

EP - 60

JO - Epidemiology

JF - Epidemiology

SN - 1044-3983

IS - 1

ER -

ID: 203376106