Evidence map›Paper›PMID 28231308›Full record

ArticlePloS one2017

Diet diversity and nutritional status among adults in southwest China.

Qiang Zhang, Xinguang Chen, Zhitao Liu, Deepthi S Varma, Rong Wan, Shiwen Zhao

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In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 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

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3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Qiang ZhangDepartment of Nutrition and Food Hygiene, Yunnan Center for Disease Control and Prevention, Kunming, China.
Xinguang ChenDepartment of Epidemiology, University of Florida, Gainesville, Florida, United States of America.
Zhitao LiuDepartment of Nutrition and Food Hygiene, Yunnan Center for Disease Control and Prevention, Kunming, China.
Deepthi S VarmaDepartment of Epidemiology, University of Florida, Gainesville, Florida, United States of America.
Rong WanDepartment of Nutrition and Food Hygiene, Yunnan Center for Disease Control and Prevention, Kunming, China.
Shiwen ZhaoDepartment of Nutrition and Food Hygiene, Yunnan Center for Disease Control and Prevention, Kunming, China.ORCID http://orcid.org/0000-0001-9544-1455

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith rapid urbanization in the past decades, diet diversity continues to increase in China. The present cross-sectional study aims to explore the association between dietary diversity and nutritional status among adults in southwest China.

methodsThis study used data from 2011-2012 National Nutritional Survey in Yunnan Province, southwest China (N = 1105).Data of three consecutive 24-hour dietary recalls were used to calculate dietary diversity scores (DDS) and nutrient adequacy ratio (NAR). Body mass index and waist circumference were used to determine nutritional status. Surveylogistic procedure of SAS 9.2 software was used to examine the association between DDS and obesity by estimating odds ratio (OR) and 95% confidence intervals (CI).

resultsThe mean DDS was 5.2 (SD 1.1) out of nine points. Being female, younger age, belonging to Han ethnicity, having higher educational level and household income were positively associated with DDS (all P<0.05). As DDS increased, consumption also increased in most food groups except grains and vegetables. People with medium and high DDS (DDS = 5 and DDS ≥6, respectively) ingested more energy than the recommended quantity(NAR = 1.1 and 1.2, respectively). However, the intakes of Calcium and Vitamin A were seriously inadequate even for people with high DDS (NAR≤0.5). With potential confounders adjusted, people with medium and high DDS were at higher risk of general and central obesity than people with DDS ≤4 (OR = 1.4-1.9, P<0.01).

conclusionsOur data indicated that high DDS was associated with excessive energy intake and obesity among adults in southwest China. Although dietary diversity is widely recommended, public health messages should give less emphasis on dietary diversity.

Indexed as

DietDiet SurveysNutritional StatusAdolescentAdultBody Mass IndexChinaCross-Sectional StudiesEnergy IntakeFemaleHumansMaleMiddle AgedObesityRisk FactorsSocioeconomic Factors

Identifiers

PMID28231308
PMCPMC5322886

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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.