Evidence map›Paper›PMID 32924898›Full record

ArticlePublic health nutrition2022

Disparities in fresh fruit and vegetable intake by sociodemographic and behavioural factors among adults in China.

Li Li, Yifei Ouyang, Huijun Wang, Feifei Huang, Yun Wang, Jiguo Zhang, Chang Su, Wenwen Du, Xiaofang Jia, Hongru Jiang and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Public health nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

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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 1 institution in 1 country.

Li LiNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 27 Nanwei Rd, Xicheng District, Beijing100050, People's Republic of China.
Yifei OuyangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 27 Nanwei Rd, Xicheng District, Beijing100050, People's Republic of China.
Huijun WangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 27 Nanwei Rd, Xicheng District, Beijing100050, People's Republic of China.
Feifei HuangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 27 Nanwei Rd, Xicheng District, Beijing100050, People's Republic of China.
Yun WangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 27 Nanwei Rd, Xicheng District, Beijing100050, People's Republic of China.
Jiguo ZhangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 27 Nanwei Rd, Xicheng District, Beijing100050, People's Republic of China.
Chang SuNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 27 Nanwei Rd, Xicheng District, Beijing100050, People's Republic of China.
Wenwen DuNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 27 Nanwei Rd, Xicheng District, Beijing100050, People's Republic of China.
Xiaofang JiaNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 27 Nanwei Rd, Xicheng District, Beijing100050, People's Republic of China.
Hongru JiangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 27 Nanwei Rd, Xicheng District, Beijing100050, People's Republic of China.
Zhihong WangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 27 Nanwei Rd, Xicheng District, Beijing100050, People's Republic of China.
Bing ZhangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 27 Nanwei Rd, Xicheng District, Beijing100050, People's Republic of China.
Chinese Center For Disease Control and Prevention · CN

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Ian Michael Carroll · 1999 to 2026
$31.6M
MONITORING SOCIAL CHANGE: HEALTH, REPRODUCTION, AGINGR01HD030880 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S, POPKIN, BARRY M · 1994 to 2024
$27.0M
POPULATION STUDIEST32HD007168 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELIZABETH A FRANKENBERG · 1985 to 2026
$13.8M
Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
CHILD HEALTH EFFECTS OF RAPID SOCIO-DEMOGRAPHIC CHANGER01HD038700 · NICHD · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2000 to 2004
$1.5M
Nutrition-Related NCD Prevention Training in ChinaD43TW009077 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2011 to 2015
$1.1M
Nutrition-Related NCD Prevention Training in ChinaD43TW007709 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2006 to 2010
$723k
FIC NIH HHS D43 TW007709FIC NIH HHS D43 TW009077NICHD NIH HHS P2C HD050924NICHD NIH HHS R01 HD030880NICHD NIH HHS R01 HD038700NICHD NIH HHS R24 HD050924NICHD NIH HHS T32 HD007168NIDDK NIH HHS P30 DK056350
6 · The paper itself

Abstract

objectiveTo measure the associations of sociodemographic and behavioural factors with fruit and vegetable consumption among adults in China.

designA cross-sectional study.

settingA 2015 wave of the China Health and Nutrition Survey.

participantsTotally, 11 910 adults aged 18 to 64 years.

resultsAdjusted log binomial regression analyses showed that adults with higher income levels had higher fruit intake than those with low income levels (medium income group, risk ratio (RR): 1·28; 95 % CI: 1·16, 1·41; high income group, RR: 1·58; 95 % CI: 1·43, 1·74). Current smokers had lower fruit intake than non-smokers (RR: 0·86; 95 % CI: 0·77, 0·96). Adults living in southern China had higher vegetable intake (RR: 1·88; 95 % CI: 1·76, 2·01) but lower fruit intake (RR: 0·85; 95 % CI: 0·79, 0·91) than adults in northern China. With increasing age, adults had higher fruit intake (50-64 years, RR: 1·20; 95 % CI: 1·09, 1·33; reference category 18-34 years) and higher vegetable intake (35-49 years, RR: 1·13; 95 % CI: 1·05, 1·22; 50-64 years, RR: 1·22; 95 % CI: 1·13, 1·31).

conclusionsOur findings identify a range of sociodemographic and behavioural factors associated with fruit and vegetable consumption among Chinese adults. They also point to the need for public health nutrition interventions for socially disadvantaged populations in China.

Indexed as

FruitVegetablesAdultChinaCross-Sectional StudiesDietHumansMiddle AgedAdultChinaFruitVegetables

Identifiers

PMID32924898
PMCPMC9991731
OpenAlexW3086405286

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.