Evidence map›Paper›PMID 35260208›Full record

ArticlePublic health nutrition2023

Dietary diversity indices

Jiajun Zhou, Sirimaporn Leepromrath, De Zhou

Abstract read
In one paragraph

Article in Public health nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

6 citing papers in PubMed.

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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

3 authors.

Jiajun ZhouCollege of Economics and Management, China Center for Food Security Studies, Nanjing Agricultural University, No. 1, Weigang, Xuanwu District, Nanjing210095, China.
Sirimaporn LeepromrathCollege of Economics and Management, China Center for Food Security Studies, Nanjing Agricultural University, No. 1, Weigang, Xuanwu District, Nanjing210095, China.
De ZhouCollege of Economics and Management, China Center for Food Security Studies, Nanjing Agricultural University, No. 1, Weigang, Xuanwu District, Nanjing210095, China.ORCID 0000-0002-5228-2842

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Venkata Saroja Voruganti · 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

objectivesTo evaluate various diet quality indices and to estimate their associations with major non-communicable diseases (NCD) (i.e. diabetes mellitus (DM) and myocardial infarction (MI)) and risk for overweight (OW).

designFour dietary diversity indices (namely, count index (Count), dietary diversity score index, berry index (BI) and entropy index (EI)) and three Chinese dietary guideline-based indices (namely, China healthy diet index, Chinese food pagoda score and diet quality divergence index) were employed to evaluate Chinese diet quality. DM, MI and OW were used as diet-related health indicators. Logit regressions were employed to unveil the associations between diet quality indices and NCD and risk for OW. The relationships between diet quality indices and daily energy intakes were checked with ordinary least squares linear regressions.

settingFour recent waves (2004, 2006, 2009, 2011) of longitudinal individual data from China Health and Nutrition Survey.

participantsChinese adults (aged 18-64 years) from twelve provinces were included in the analysis (

resultsCount, BI, and EI were positively associated with higher OW risk and daily energy intakes. As dietary guideline-based indices got better, people were exposed to lower DM and OW risks and got lower daily energy intakes. Finally, dietary guideline-based indices properly revealed the expected relationships that high-quality diets would reduce NCD and risk for OW, while high diversity indices were usually correlated with over-nutrition and high risks.

conclusionsIncreasing diversity of the diet does not necessarily improve the nutrition and health. Dietary guideline-based indices are more robust than dietary diversity indices; thus, they should be highly recommended when evaluating diet quality.

Indexed as

Noncommunicable DiseasesAdultChinaDietEnergy IntakeHumansNutrition PolicyNutrition SurveysOverweightChinaDietary diversityDiet quality measurementNon-communicable diseases

Identifiers

PMID35260208
PMCPMC10346091

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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.