See the published version of this preprint at Nutrition & Metabolism.
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Research
Wanhyung Lee
Gachon University Gil Medical Center
Corresponding Author
ORCiD: https://orcid.org/0000-0001-6408-7668
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: The association between breakfast skipping and abnormal metabolic outcomes remains controversial. A comprehensive study with various stratified data is required.
Objective: The aim of this study was to investigate the relationship between abnormal metabolic outcomes and breakfast skipping by sex, age, and work status stratification.
Methods: We used data from the Korea National Health and Nutrition Examination Surveys from 2013-2018. A total of 21,193 (9,022 men and 12,171 women) participants were included in the final analysis. The risk of metabolic outcomes linked to breakfast skipping was estimated using the negative binomial regression analysis by sex, work status, and age stratification.
Results: A total of 11,952 (56.4%) participants consumed breakfast regularly. The prevalence of abnormal metabolic outcomes was higher among those with irregular breakfast consumption habits. Among young male workers, negative binomial regression analysis showed that irregular breakfast eaters had a higher risk of abnormal metabolic outcomes, after adjusting for covariates (odds ratio, 1.15; 95% confidence interval, 1.03-1.27).
Conclusions: The risk of abnormal metabolic outcomes was significant in young men in the working population. Further studies are required to understand the association of specific working conditions (working hours or shift work) with breakfast intake status and the risk of metabolic diseases.
Keywords
Breakfast skipping, abnormal metabolic outcomes, working conditions
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View the published article at Nutrition & Metabolism.
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Posted 04 Dec, 2020
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Editor assigned
On 20 Nov, 2020
Editorial decision: Accept
On 20 Nov, 2020
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On 20 Nov, 2020
Editor invited
On 20 Nov, 2020
No comments provided
Editorial decision: Minor revision
On 18 Nov, 2020
Review #2 received
Received 17 Nov, 2020
Reviewer #2 agreed
On 06 Nov, 2020
Editor assigned
On 06 Nov, 2020
Reviewers invited
Invitations sent on 06 Nov, 2020
Reviewer #1 agreed
On 06 Nov, 2020
Review #1 received
Received 06 Nov, 2020
Submission checks complete
On 06 Nov, 2020
Editor invited
On 06 Nov, 2020
No comments provided
Editorial decision: Major revision
On 25 Sep, 2020
Review #2 received
Received 24 Sep, 2020
Reviewer #2 agreed
On 10 Sep, 2020
Review #1 received
Received 17 Aug, 2020
Reviewers invited
Invitations sent on 16 Aug, 2020
Reviewer #1 agreed
On 16 Aug, 2020
Editor assigned
On 04 Aug, 2020
Editor invited
On 03 Aug, 2020
Submission checks complete
On 29 Jul, 2020
First submitted
On 23 Jul, 2020
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See the published version of this preprint at Nutrition & Metabolism.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research
Wanhyung Lee
Gachon University Gil Medical Center
Corresponding Author
ORCiD: https://orcid.org/0000-0001-6408-7668
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at Nutrition & Metabolism.
Version 3
Posted 04 Dec, 2020
No community comments so far
Editor assigned
On 20 Nov, 2020
Editorial decision: Accept
On 20 Nov, 2020
Submission checks complete
On 20 Nov, 2020
Editor invited
On 20 Nov, 2020
No comments provided
Editorial decision: Minor revision
On 18 Nov, 2020
Review #2 received
Received 17 Nov, 2020
Reviewer #2 agreed
On 06 Nov, 2020
Editor assigned
On 06 Nov, 2020
Reviewers invited
Invitations sent on 06 Nov, 2020
Reviewer #1 agreed
On 06 Nov, 2020
Review #1 received
Received 06 Nov, 2020
Submission checks complete
On 06 Nov, 2020
Editor invited
On 06 Nov, 2020
No comments provided
Editorial decision: Major revision
On 25 Sep, 2020
Review #2 received
Received 24 Sep, 2020
Reviewer #2 agreed
On 10 Sep, 2020
Review #1 received
Received 17 Aug, 2020
Reviewers invited
Invitations sent on 16 Aug, 2020
Reviewer #1 agreed
On 16 Aug, 2020
Editor assigned
On 04 Aug, 2020
Editor invited
On 03 Aug, 2020
Submission checks complete
On 29 Jul, 2020
First submitted
On 23 Jul, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at Nutrition & Metabolism.
Background: The association between breakfast skipping and abnormal metabolic outcomes remains controversial. A comprehensive study with various stratified data is required.
Objective: The aim of this study was to investigate the relationship between abnormal metabolic outcomes and breakfast skipping by sex, age, and work status stratification.
Methods: We used data from the Korea National Health and Nutrition Examination Surveys from 2013-2018. A total of 21,193 (9,022 men and 12,171 women) participants were included in the final analysis. The risk of metabolic outcomes linked to breakfast skipping was estimated using the negative binomial regression analysis by sex, work status, and age stratification.
Results: A total of 11,952 (56.4%) participants consumed breakfast regularly. The prevalence of abnormal metabolic outcomes was higher among those with irregular breakfast consumption habits. Among young male workers, negative binomial regression analysis showed that irregular breakfast eaters had a higher risk of abnormal metabolic outcomes, after adjusting for covariates (odds ratio, 1.15; 95% confidence interval, 1.03-1.27).
Conclusions: The risk of abnormal metabolic outcomes was significant in young men in the working population. Further studies are required to understand the association of specific working conditions (working hours or shift work) with breakfast intake status and the risk of metabolic diseases.
Figure 1
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