Evidence map›Paper›PMID 36432596›Full record

SynthesisNutrients2022

Dietary Patterns and Obesity in Chinese Adults: A Systematic Review and Meta-Analysis.

Karen Jiang, Zhen Zhang, Lee Ann Fullington, Terry T Huang, Catherine Kaliszewski, Jingkai Wei, Li Zhao, Shuyuan Huang, Amy Ellithorpe, Shenghui Wu and 2 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 5% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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  10. Diet and sociodemographic predictors of the double burden of malnutrition in urban Zimbabwe.African journal of primary health care & family medicine · 2025
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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

12 authors at 7 institutions in 2 countries.

Karen JiangDepartment of Health and Nutrition Sciences, Brooklyn College, City University of New York, Brooklyn, NY 11210, USA.
Zhen ZhangDepartment of Cardiology, The Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Cardiovascular Disease Research Institute of Chengdu, Chengdu 610031, China.
Lee Ann FullingtonLibrary Department, Brooklyn College of the City University of New York, Brooklyn, NY 11210, USA.
Terry T HuangCenter for Systems and Community Design and NYU-CUNY Prevention Research Center, Graduate School of Public Health and Health Policy, City University of New York, New York, NY 10027, USA.ORCID 0000-0001-5544-5187
Catherine KaliszewskiDepartment of Public Health, Robbins College of Health and Human Science, Baylor University, Waco, TX 76798, USA.
Jingkai WeiDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA.
Li ZhaoWest China School of Public Health, Sichuan University, Chengdu 610017, China.
Shuyuan HuangRory Meyer College of Nursing, New York University, New York, NY 10010, USA.ORCID 0000-0003-2772-2719
Amy EllithorpeDepartment of Health and Nutrition Sciences, Brooklyn College, City University of New York, Brooklyn, NY 11210, USA.
Shenghui WuDepartment of Public Health and Exercise Science, Beaver College of Health Sciences, Appalachian State University, Boone, NC 28608, USA.ORCID 0000-0003-0505-086X
Xinyin JiangDepartment of Health and Nutrition Sciences, Brooklyn College, City University of New York, Brooklyn, NY 11210, USA.ORCID 0000-0001-6090-371X
Liang WangDepartment of Public Health, Robbins College of Health and Human Science, Baylor University, Waco, TX 76798, USA.
City University of New York · USBaylor University · USAppalachian State University · USNew York University · USSichuan University · CNThird People's Hospital of Chengdu · CNUniversity of South Carolina · US

Funding

ACL HHS U48DP006396
6 · The paper itself

Abstract

Certain dietary patterns are associated with an increased risk of obesity and its comorbidities. However, these associations vary across populations. The prevalence of obesity has been rising amid a drastic nutrition transition in China during the country’s rapid economic growth. This systematic review and meta-analysis were conducted to summarize how dietary patterns are associated with obesity in the Chinese population. We searched for articles from 1 January 2000 to 1 February 2022 in PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Scopus that assessed the relationship between dietary patterns and obesity outcomes. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using a random effects model. From the 2556 articles identified from the search, 23 articles were included in the analysis. We found that the traditional Chinese dietary pattern was associated with a lower risk of overweight/obesity (OR = 0.69, 95% CI: 0.57, 0.84, p < 0.001), whereas the Western dietary pattern was associated with a higher OR of overweight/obesity, but not reaching statistical significance (OR = 1.34, 95% CI: 0.98, 1.84, p = 0.07). There were inconsistent results for other dietary patterns, such as meat/animal protein and plant/vegetarian patterns. In conclusion, the traditional Chinese diet characterized by vegetables, rice, and meat was associated with a lower risk of obesity. The heterogeneity in characterizing dietary patterns contributes to the inconsistency of how dietary patterns are associated with obesity in the Chinese population.

Indexed as

ObesityOverweightAsian PeopleDiet, WesternHumansRisk Factorsbody weightChinesedietary patternobesity

Identifiers

PMID36432596
PMCPMC9698822
OpenAlexW4309738978

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.