Evidence map›Paper›PMID 36237967›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2022

Unhealthy Dietary Patterns Increased Risks of Incident Obesity: A Prospective Cohort Study in Southwest China.

Tao Liu, Xiulu Yang, Yanli Wu, Min Chen, Yu Yang, Yun Chen, Yiying Wang, Jie Zhou, Kelin Xu, Na Wang and 1 more

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Tao Liu *Guizhou Center for Disease Control and Prevention, Guiyang, 550004, People's Republic of China.
Xiulu Yang *School of Public Health; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, People's Republic of China.
Yanli WuGuizhou Center for Disease Control and Prevention, Guiyang, 550004, People's Republic of China.
Min ChenGuizhou Center for Disease Control and Prevention, Guiyang, 550004, People's Republic of China.
Yu YangSchool of Public Health; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, People's Republic of China.ORCID 0000-0002-3869-2060
Yun ChenSchool of Public Health; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, People's Republic of China.ORCID 0000-0002-2516-0946
Yiying WangGuizhou Center for Disease Control and Prevention, Guiyang, 550004, People's Republic of China.
Jie ZhouGuizhou Center for Disease Control and Prevention, Guiyang, 550004, People's Republic of China.
Kelin XuSchool of Public Health; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, People's Republic of China.
Na WangSchool of Public Health; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, People's Republic of China.
Chaowei FuSchool of Public Health; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, People's Republic of China.ORCID 0000-0003-0966-8552

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Few studies have explored the associations between diet patterns and incident obesity in China. This study aimed to explore associations between dietary patterns and incident obesity in a prospective community-population cohort in Southwest China. Patients and Methods: Totally, 5742 adult residents from Guizhou province were eligible for this analysis. Demographic characteristics, lifestyle, history of chronic diseases, and dietary patterns measured by hundred-item food frequency questionnaires (FFQs) were collected at the baseline study. Four dietary patterns were identified using factor analysis. Cox proportional hazard models stratified by physical activity were used to explore the association and estimate adjusted hazard ratio (aHR) and 95% confidence interval (CI). Results: Among 5742 subjects, the average age was 45.06 ± 15.21 years old and more than half were women. During the follow-up of 40,524.15 person years (PYs), the overall incidence rate of obesity was 10.54/1000PYs. After the adjustment for possible confounding factors, subjects with the third (aHR: 1.51, 95% CI: 1.14-2.00) and the fourth quartile (aHR: 1.46, 95% CI: 1.10-1.94) of junk food patterns had statistically increased risk of incident obesity compared to those with the first quartile. Also, subjects with the third quartile of the western pattern had significantly higher risk of incident obesity (aHR: 1.33, 95% CI: 1.01-1.75) than those with the first quartile. Conclusion: There was a high risk in incident obesity among Chinese community population of Southwest China and unhealthy diet significantly increased risk of developing obesity. The findings indicated that effective and targeted measures to improve dietary patterns need to be undertaken urgently in Southwest China.

Indexed as

Chinacohort studydietary patternsfactor analysisobesity

Identifiers

PMID36237967
PMCPMC9553234

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.