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Research
Long Shu
Zhejiang Hospital
Corresponding Author
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Background: Information regarding dietary patterns associated with prediabetes in the Chinese population is lacking. The objective of the present study was to explore the association between major dietary patterns and risk of prediabetes in a middle-aged Chinese population.
Methods: A total of 1761 participants (aged 45 to 59 years) were recruited in Hangzhou city, the capital of Zhejiang Province, China from June 2015 to December 2016. Dietary information was obtained by interview using a 138-item, validated semi-quantitative food frequency questionnaire(SQFFQ). Multivariate logistic regression models were used to analyze the association between dietary patterns and the risk of prediabetes with adjustment of potential confounding variables.
Results: Three dietary patterns were ascertained by factor analysis and labeled as traditional southern Chinese, Western, and grains-vegetables patterns. After controlling of the potential confounders, participants in the top quartile of the Western pattern scores had greater odds ratio(OR) for prediabetes (OR=1.54; 95% confidence interval(CI):1.068-2.059; P =0.025) than did those in the bottom quartile. Compared with those in the bottom quartile, participants in the top quartile of the grains-vegetables pattern scores had a lower OR for prediabetes(OR=0.83; 95% CI:0.747-0.965; P =0.03). Besides, no statistically significant association was observed in the association between the traditional southern Chinese pattern and prediabetes risk ( P >0.05).
Conclusions: The findings of this study showed that the Western pattern was associated with a higher risk, and the grains-vegetables pattern was associated with a lower risk of prediabetes. Future prospective studies are required to validate our findings.
Keywords
Prediabetes, Dietary patterns, Factor analysis, Cross-sectional study, China
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View the published article at Nutrition Journal.
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Reviewer #1 agreed
On 17 Jul, 2020
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Received 17 Jul, 2020
Editorial decision: Accept
On 17 Jul, 2020
Editor assigned
On 13 Jul, 2020
Reviewers invited
Invitations sent on 13 Jul, 2020
Submission checks complete
On 12 Jul, 2020
Editor invited
On 12 Jul, 2020
Version 1
Posted 19 May, 2020
No comments provided
Editorial decision: Minor revision
On 05 Jul, 2020
Review #1 received
Received 08 Jun, 2020
Reviewer #1 agreed
On 25 May, 2020
Reviewers invited
Invitations sent on 23 May, 2020
Editor assigned
On 18 May, 2020
Editor invited
On 17 May, 2020
Submission checks complete
On 16 May, 2020
First submitted
On 14 May, 2020
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Subject Areas
Nutrition & Dietetics
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A new preprint design is coming!
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See the published version of this preprint at Nutrition Journal.
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
Long Shu
Zhejiang Hospital
Corresponding Author
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 Journal.
No community comments so far
Reviewer #1 agreed
On 17 Jul, 2020
Review #1 received
Received 17 Jul, 2020
Editorial decision: Accept
On 17 Jul, 2020
Editor assigned
On 13 Jul, 2020
Reviewers invited
Invitations sent on 13 Jul, 2020
Submission checks complete
On 12 Jul, 2020
Editor invited
On 12 Jul, 2020
Version 1
Posted 19 May, 2020
No comments provided
Editorial decision: Minor revision
On 05 Jul, 2020
Review #1 received
Received 08 Jun, 2020
Reviewer #1 agreed
On 25 May, 2020
Reviewers invited
Invitations sent on 23 May, 2020
Editor assigned
On 18 May, 2020
Editor invited
On 17 May, 2020
Submission checks complete
On 16 May, 2020
First submitted
On 14 May, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Nutrition & Dietetics
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at Nutrition Journal.
Background: Information regarding dietary patterns associated with prediabetes in the Chinese population is lacking. The objective of the present study was to explore the association between major dietary patterns and risk of prediabetes in a middle-aged Chinese population.
Methods: A total of 1761 participants (aged 45 to 59 years) were recruited in Hangzhou city, the capital of Zhejiang Province, China from June 2015 to December 2016. Dietary information was obtained by interview using a 138-item, validated semi-quantitative food frequency questionnaire(SQFFQ). Multivariate logistic regression models were used to analyze the association between dietary patterns and the risk of prediabetes with adjustment of potential confounding variables.
Results: Three dietary patterns were ascertained by factor analysis and labeled as traditional southern Chinese, Western, and grains-vegetables patterns. After controlling of the potential confounders, participants in the top quartile of the Western pattern scores had greater odds ratio(OR) for prediabetes (OR=1.54; 95% confidence interval(CI):1.068-2.059; P =0.025) than did those in the bottom quartile. Compared with those in the bottom quartile, participants in the top quartile of the grains-vegetables pattern scores had a lower OR for prediabetes(OR=0.83; 95% CI:0.747-0.965; P =0.03). Besides, no statistically significant association was observed in the association between the traditional southern Chinese pattern and prediabetes risk ( P >0.05).
Conclusions: The findings of this study showed that the Western pattern was associated with a higher risk, and the grains-vegetables pattern was associated with a lower risk of prediabetes. Future prospective studies are required to validate our findings.
This is a list of supplementary files associated with this preprint. Click to download.
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