Evidence map›Paper›PMID 28845396›Full record

ReviewIranian journal of public health2017

Dietary Patterns and Overweight/Obesity: A Review Article.

Min Mu, Li-Fa Xu, Dong Hu, Jing Wu, Ming-Jie Bai

Abstract readReview
PubMed Full text at PMC
In one paragraph

Review in Iranian journal of public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 6 pooled it
–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

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

67 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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7 more citing papers are in PubMed but not listed here.

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

5 authors.

Min MuDept. of Preventive Medicine, School of Medicine, Anhui University of Science and Technology, Huainan, Anhui Province, China.
Li-Fa XuDept. of Preventive Medicine, School of Medicine, Anhui University of Science and Technology, Huainan, Anhui Province, China.
Dong HuDept. of Preventive Medicine, School of Medicine, Anhui University of Science and Technology, Huainan, Anhui Province, China.
Jing WuDept. of Preventive Medicine, School of Medicine, Anhui University of Science and Technology, Huainan, Anhui Province, China.
Ming-Jie BaiDept. of Preventive Medicine, School of Medicine, Anhui University of Science and Technology, Huainan, Anhui Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDietary patterns analysis may provide insights into the influence of overall diet on overweight/obesity. In the past two decades, the relation between dietary patterns and overweight/obesity has been a research focus and a number of results were reported in the research field.

methodsAn electronic literature search was conducted in PubMed and Web of Science, to identify human studies published by Mar 2015 and written in English. The following keywords or phrases were involved: dietary patterns, dietary pattern, factor analysis, principal component analysis, diet, obesity, adiposity, overweight and BMI. All the studies were retrieved and prudent/healthy (n=17) and western/unhealthy (n=18) dietary patterns were identified.

resultsWhen compared with the lowest categories of a prudent/healthy dietary pattern, a reduced overweight/obesity risk was shown in the highest (OR=0.64; 95% CI: 0.52, 0.78;

conclusionA prudent/healthy dietary pattern and limit intake of western/unhealthy dietary pattern should be followed, which helps to keep a healthy body mass.

Indexed as

BMIDietary patternsMeta-analysisObesityOverweight

Identifiers

PMID28845396
PMCPMC5563867

What OpenQuestion holds

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Registered trials

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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.