Evidence map›Paper›PMID 26784586›Full record

ArticlePublic health nutrition2016

Using both principal component analysis and reduced rank regression to study dietary patterns and diabetes in Chinese adults.

Carolina Batis, Michelle A Mendez, Penny Gordon-Larsen, Daniela Sotres-Alvarez, Linda Adair, Barry Popkin

Abstract read
In one paragraph

Article in Public health nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 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

47 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  3. Observational
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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.

Carolina Batis1Department of Nutrition and Carolina Population Center,University of North Carolina at Chapel Hill,137 East Franklin Street,Chapel Hill,NC 27516,USA.
Michelle A Mendez1Department of Nutrition and Carolina Population Center,University of North Carolina at Chapel Hill,137 East Franklin Street,Chapel Hill,NC 27516,USA.
Penny Gordon-Larsen1Department of Nutrition and Carolina Population Center,University of North Carolina at Chapel Hill,137 East Franklin Street,Chapel Hill,NC 27516,USA.
Daniela Sotres-Alvarez2Department of Biostatistics,University of North Carolina at Chapel Hill,Chapel Hill,NC,USA.
Linda Adair1Department of Nutrition and Carolina Population Center,University of North Carolina at Chapel Hill,137 East Franklin Street,Chapel Hill,NC 27516,USA.
Barry Popkin1Department of Nutrition and Carolina Population Center,University of North Carolina at Chapel Hill,137 East Franklin Street,Chapel Hill,NC 27516,USA.

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
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
Emergence of Cardiometabolic Risk Across the Lifecycle in ChinaR01HL108427 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GORDON-LARSEN, PENNY · 2012 to 2015
$2.7M
CHILD HEALTH EFFECTS OF RAPID SOCIO-DEMOGRAPHIC CHANGER01HD038700 · NICHD · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2000 to 2004
$1.5M
NHLBI NIH HHS R01 HL108427NHLBI NIH HHS R01-HL108427NICHD NIH HHS P2C HD050924NICHD NIH HHS R01 HD030880NICHD NIH HHS R01 HD038700NICHD NIH HHS R01-HD30880NICHD NIH HHS R01-HD38700NICHD NIH HHS R24 HD050924NIDDK NIH HHS DK056350NIDDK NIH HHS P30 DK056350
6 · The paper itself

Abstract

objectiveWe examined the association between dietary patterns and diabetes using the strengths of two methods: principal component analysis (PCA) to identify the eating patterns of the population and reduced rank regression (RRR) to derive a pattern that explains the variation in glycated Hb (HbA1c), homeostasis model assessment of insulin resistance (HOMA-IR) and fasting glucose.

designWe measured diet over a 3 d period with 24 h recalls and a household food inventory in 2006 and used it to derive PCA and RRR dietary patterns. The outcomes were measured in 2009.

settingAdults (n 4316) from the China Health and Nutrition Survey.

resultsThe adjusted odds ratio for diabetes prevalence (HbA1c≥6·5 %), comparing the highest dietary pattern score quartile with the lowest, was 1·26 (95 % CI 0·76, 2·08) for a modern high-wheat pattern (PCA; wheat products, fruits, eggs, milk, instant noodles and frozen dumplings), 0·76 (95 % CI 0·49, 1·17) for a traditional southern pattern (PCA; rice, meat, poultry and fish) and 2·37 (95 % CI 1·56, 3·60) for the pattern derived with RRR. By comparing the dietary pattern structures of RRR and PCA, we found that the RRR pattern was also behaviourally meaningful. It combined the deleterious effects of the modern high-wheat pattern (high intakes of wheat buns and breads, deep-fried wheat and soya milk) with the deleterious effects of consuming the opposite of the traditional southern pattern (low intakes of rice, poultry and game, fish and seafood).

conclusionsOur findings suggest that using both PCA and RRR provided useful insights when studying the association of dietary patterns with diabetes.

Indexed as

DietFeeding BehaviorResearch DesignAdultBlood GlucoseChinaDiabetes MellitusFamily CharacteristicsFemaleGlycated HemoglobinHumansInsulin ResistanceMaleMiddle AgedNutrition SurveysOdds RatioBlood GlucoseGlycated HemoglobinDiabetesDietary patternsPrincipal component analysisReduced rank regression

Identifiers

PMID26784586
PMCPMC4721264

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.