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Long-term use of antibiotics and risk of type 2 diabetes in women: a prospective cohort study

Long-term use of antibiotics and risk of type 2 diabetes in women: a prospective cohort study
Long-term use of antibiotics and risk of type 2 diabetes in women: a prospective cohort study

Background: accumulating evidence suggested that long-term antibiotic use may alter the gut microbiome, which has, in turn, been linked to type 2 diabetes. We undertook this study to investigate whether antibiotic use was associated with increased risk of type 2 diabetes. 

Methods: this prospective cohort study included women free of diabetes, cardiovascular disease and cancer in the Nurses' Health Study (NHS 2008-2014) and NHS II (2009-2017). We evaluated the overall duration of antibiotics use in the past 4 years and subsequent diabetes risk with Cox proportional-hazards regression adjusting for demography, family history of diabetes and lifestyle factors. 

Results: pooled analyses of NHS and NHS II (2837 cases, 703 934 person-years) revealed that a longer duration of antibiotic use in the past 4 years was associated with higher risk of diabetes [Trend-coefficient = 0.09, 95% confidence interval (CI) 0.04 to 0.13]. Participants who received antibiotics treatment for a medium duration of 15 days to 2 months [hazard ratio (HR) 1.23, 95% CI 1.10 to 1.39] or long duration of >2 months (HR 1.20, 95% CI 1.02 to 1.38) had higher risk of type 2 diabetes as compared with non-users. Subgroup analyses suggested that the associations were unlikely to be modified by age, family history of diabetes, obesity, smoking, alcohol drinking, physical activity and overall diet quality. 

Conclusions: a longer duration of antibiotic use in recent years was associated with increased risk of type 2 diabetes in women. Physicians should exercise caution when prescribing antibiotics, particularly for long-term use.

Antibiotics, Gut microbiota, Health Studies, Nurses', Prospective cohort study, Type 2 diabetes
0300-5771
1572-1581
Yuan, Jinqiu
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Hu, Yanhong Jessika
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Zheng, Jie
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Kim, Jean Hee
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Sumerlin, Tim
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Chen, Youpeng
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He, Yulong
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Zhang, Changhua
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Tang, Jinling
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Pan, Yihang
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Moore, Michael
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Yuan, Jinqiu
cebdc072-e6a5-48d5-87d6-247f8b049ef2
Hu, Yanhong Jessika
db339d28-c6e8-4daf-8983-0ef773dbb4f4
Zheng, Jie
93347b9a-c5fc-4f71-b1b8-825172e5bb9f
Kim, Jean Hee
87deaaef-1276-4c39-be23-07f2e32e34a9
Sumerlin, Tim
516871c8-ce60-4183-bdb1-b8c9d3a8ca4d
Chen, Youpeng
c75c686a-ae63-41c4-b7bd-a65f1588491f
He, Yulong
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Zhang, Changhua
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Tang, Jinling
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Pan, Yihang
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Moore, Michael
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Yuan, Jinqiu, Hu, Yanhong Jessika, Zheng, Jie, Kim, Jean Hee, Sumerlin, Tim, Chen, Youpeng, He, Yulong, Zhang, Changhua, Tang, Jinling, Pan, Yihang and Moore, Michael (2020) Long-term use of antibiotics and risk of type 2 diabetes in women: a prospective cohort study. International Journal of Epidemiology, 49 (5), 1572-1581. (doi:10.1093/ije/dyaa122).

Record type: Article

Abstract

Background: accumulating evidence suggested that long-term antibiotic use may alter the gut microbiome, which has, in turn, been linked to type 2 diabetes. We undertook this study to investigate whether antibiotic use was associated with increased risk of type 2 diabetes. 

Methods: this prospective cohort study included women free of diabetes, cardiovascular disease and cancer in the Nurses' Health Study (NHS 2008-2014) and NHS II (2009-2017). We evaluated the overall duration of antibiotics use in the past 4 years and subsequent diabetes risk with Cox proportional-hazards regression adjusting for demography, family history of diabetes and lifestyle factors. 

Results: pooled analyses of NHS and NHS II (2837 cases, 703 934 person-years) revealed that a longer duration of antibiotic use in the past 4 years was associated with higher risk of diabetes [Trend-coefficient = 0.09, 95% confidence interval (CI) 0.04 to 0.13]. Participants who received antibiotics treatment for a medium duration of 15 days to 2 months [hazard ratio (HR) 1.23, 95% CI 1.10 to 1.39] or long duration of >2 months (HR 1.20, 95% CI 1.02 to 1.38) had higher risk of type 2 diabetes as compared with non-users. Subgroup analyses suggested that the associations were unlikely to be modified by age, family history of diabetes, obesity, smoking, alcohol drinking, physical activity and overall diet quality. 

Conclusions: a longer duration of antibiotic use in recent years was associated with increased risk of type 2 diabetes in women. Physicians should exercise caution when prescribing antibiotics, particularly for long-term use.

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Accepted/In Press date: 2 July 2020
e-pub ahead of print date: 7 September 2020
Additional Information: Funding Information: This work was supported by the start-up grant for the 100 Top Talents Program, The Seventh Affiliated Hospital, Sun Yat-sen University (392012), the National Key Research and Development Program (2018YFA0902801), and Vice-Chancellor Fellowship from the University of Bristol and the UK Medical Research Council Integrative Epidemiology Unit (MC_UU_00011/1 and MC_UU_00011/4). NHS and NHS II were supported by the National Cancer Institute (UM1 CA176726 and UM1 CA186107) and the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) (DK58845 and DK112940). The funders had no role in the design, conduct or data interpretation of the study. Publisher Copyright: © 2020 The Author(s); all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
Keywords: Antibiotics, Gut microbiota, Health Studies, Nurses', Prospective cohort study, Type 2 diabetes

Identifiers

Local EPrints ID: 447236
URI: http://eprints.soton.ac.uk/id/eprint/447236
ISSN: 0300-5771
PURE UUID: d6e7c557-f619-4950-932f-2d495c3378f3
ORCID for Michael Moore: ORCID iD orcid.org/0000-0002-5127-4509

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Date deposited: 05 Mar 2021 17:30
Last modified: 18 Mar 2024 05:27

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Contributors

Author: Jinqiu Yuan
Author: Yanhong Jessika Hu
Author: Jie Zheng
Author: Jean Hee Kim
Author: Tim Sumerlin
Author: Youpeng Chen
Author: Yulong He
Author: Changhua Zhang
Author: Jinling Tang
Author: Yihang Pan
Author: Michael Moore ORCID iD

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