Evidence map›Paper›PMID 38703224›Full record

ArticleEuropean journal of nutrition2024

Associations between dietary diversity and dyslipidemia among Japanese workers: cross-sectional study and longitudinal study findings.

Thi Thuy Bui, Mariko Nakamoto, Kana Yamada, Akiko Nakamoto, Akiko Hata, Nanako Aki, Yosuke Shikama, Yukiko Bando, Takako Ichihara, Takako Minagawa and 4 more

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Article in European journal of nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

14 authors.

Thi Thuy BuiDepartment of Public Health and Applied Nutrition, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15, Kuramoto-Cho, Tokushima City, Tokushima, 770-8503, Japan.
Mariko NakamotoDepartment of Public Health and Applied Nutrition, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15, Kuramoto-Cho, Tokushima City, Tokushima, 770-8503, Japan. nakamoto@tokushima-u.ac.jp.ORCID http://orcid.org/0000-0001-7548-7499
Kana YamadaDepartment of Public Health and Applied Nutrition, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15, Kuramoto-Cho, Tokushima City, Tokushima, 770-8503, Japan.
Akiko NakamotoDepartment of Public Health and Applied Nutrition, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15, Kuramoto-Cho, Tokushima City, Tokushima, 770-8503, Japan.
Akiko HataClinical Research Center for Diabetes, Tokushima University Hospital, Tokushima, Japan.
Nanako AkiClinical Research Center for Diabetes, Tokushima University Hospital, Tokushima, Japan.
Yosuke ShikamaClinical Research Center for Diabetes, Tokushima University Hospital, Tokushima, Japan.
Yukiko BandoClinical Research Center for Diabetes, Tokushima University Hospital, Tokushima, Japan.
Takako IchiharaDepartment of Nursing, Faculty of Medicine, Kagawa University, Takamatsu, Kagawa, Japan.
Takako MinagawaDepartment of Nursing, Faculty of Health and Welfare, Tokushima Bunri University, Tokushima, Japan.
Ayako TamuraDepartment of Nursing, Faculty of Nursing, Shikoku University, Tokushima, Japan.
Yumi KuwamuraDepartment of Oncology Nursing, Institute of Biomedical Sciences, University of Tokushima Graduate School, Tokushima, Japan.
Makoto FunakiEndocrinology and Metabolism, Tokushima University Hospital, Tokushima, Japan.
Tohru SakaiDepartment of Public Health and Applied Nutrition, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15, Kuramoto-Cho, Tokushima City, Tokushima, 770-8503, Japan.

Funding

Grant Number of the Grant-in-Aid for Scientific Research (C) 20K05925Grants-in-Aid for Young Scientists (B) 25860439
6 · The paper itself

Abstract

objectiveThe aim of this study was to determine the associations between dietary diversity and risk of dyslipidemia in Japanese workers.

methodsThe cross-sectional study included 1399 participants aged 20-63 years and the longitudinal study included 751 participants aged 20-60 years in 2012-2013 (baseline) who participated at least once from 2013 to 2017 with cumulative participation times of 4.9 times. Dietary intake was assessed using a food frequency questionnaire, and dietary diversity score (DDS) was determined using the Quantitative Index for Dietary Diversity. Dyslipidemia was diagnosed when at least one of the following conditions was met: hypertriglyceridemia, high LDL-cholesterol, low HDL-cholesterol, high non-HDL-cholesterol, and a history of dyslipidemia. Multivariable logistic regression was used to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) for dyslipidemia with control of confounding factors in cross-sectional analysis. Generalized estimating equations were used for calculating the ORs (95% CI) for dyslipidemia in the follow-up period according to the DDS at baseline with control of confounding factors in longitudinal analysis.

resultsCross-sectional analysis showed that the highest DDS reduced the odds of dyslipidemia in men (OR [95% CI] in Tertile 3: 0.67 [0.48-0.95], p value = 0.023). In longitudinal analysis, a moderate DDS reduced the risk of dyslipidemia (OR [95% CI] in Tertile 2: 0.21 [0.07-0.60], p value = 0.003) in women.

conclusionsThe results of cross-sectional analysis in this study suggest that the higher diversity of diet might reduce the presence of dyslipidemia in men and the results of longitudinal analysis suggest that a moderate DDS might reduce the risk of dyslipidemia in women. Further studies are needed since the results of cross-sectional and longitudinal analyses in this study were inconsistent.

Indexed as

DietDyslipidemiasAdultCross-Sectional StudiesEast Asian PeopleFemaleHumansJapanLongitudinal StudiesMaleMiddle AgedRisk FactorsYoung AdultCross-sectional studyDietary diversityDyslipidemiaJapanese workersLongitudinal study

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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.