Evidence mapPaperPMID 38263170Full record

ArticleLipids in health and disease2024

Dietary patterns derived by reduced rank regression are associated with lipid disorders among Korean adults: a cross-sectional analysis.

Hyun Ah Kim, Hye Ran Shin, SuJin Song

Open access · goldAbstract read
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Article in Lipids in health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.2field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Hyun Ah KimDepartment of Food and Nutrition, Hannam University, 1646 Yuseong-daero, Yuseong-gu, Daejeon, South Korea, 34054, Republic of Korea.
Hye Ran ShinDepartment of Food and Nutrition, Hannam University, 1646 Yuseong-daero, Yuseong-gu, Daejeon, South Korea, 34054, Republic of Korea.
SuJin SongDepartment of Food and Nutrition, Hannam University, 1646 Yuseong-daero, Yuseong-gu, Daejeon, South Korea, 34054, Republic of Korea. sjsong@hnu.kr.
Hannam University · KR

Funding

National Research Foundation of Korea 2022R1C1C1002905
6 · The paper itself

Abstract

backgroundLipid disorders are a potent risk factor for cardiovascular diseases. Moreover, the intake of dietary fatty acids has been closely related to blood lipid levels. Therefore, this cross-sectional study examined the associations between dietary patterns related to fatty acid intake and lipid disorders in Korean adults.

methodsFrom the 2013-2019 Korea National Health and Nutrition Examination Surveys data, 8399 men and 11404 women (aged ≥ 19 years) were selected. Reduced rank regression was employed to identify dietary patterns from 26 food groups, aiming to explain the maximum variation in the intake of saturated fatty acids (SFA), polyunsaturated fatty acids (PUFA), omega-3 fatty acids, and the PUFA/SFA ratio. Associations of quintiles (Q) of dietary pattern scores with lipid disorders were examined using multiple logistic regression stratified by sex.

resultsThree dietary patterns were identified: dietary pattern 1 showed positive factor loadings for vegetable oils, seasonings, legumes, nuts, and fish; dietary pattern 2 was high in consumption of red meat, bread and snacks, and milk and dairy products; and dietary pattern 3 was rich in fish and milk and dairy products. In men, dietary pattern 3 was inversely associated with elevated triglycerides (Q5 vs. Q1: odds ratio [OR] = 0.82, 95% confidence interval [CI] = 0.69-0.97, P-trend = 0.008). In women, dietary pattern 2 was positively associated with elevated total cholesterol (OR = 1.31, 95% CI = 1.12-1.52, P-trend < 0.001) but inversely associated with low HDL-cholesterol (OR = 0.70, 95% CI = 0.59-0.83, P-trend < 0.001).

conclusionIn this study, dietary patterns explaining the intake of various types of fatty acids were differentially associated with lipid disorders in Korean adults. Dietary pattern characterized by higher intakes of red meat, bread and snacks and milk and dairy products were positively associated with elevated total cholesterol, whereas dietary pattern rich in fish consumption showed an inverse association with elevated triglycerides. These findings could be instrumental in developing dietary guidelines and strategies for preventing and managing lipid disorders in this population.

Indexed as

HypercholesterolemiaHypertriglyceridemiaLipid Metabolism DisordersAdultAnimalsCholesterolCross-Sectional StudiesFatty AcidsFemaleHumansMaleMilkRepublic of KoreaTriglyceridesCholesterolFatty AcidsTriglyceridesDietary fatty acidsDietary patternKorean adultsLipid disordersReduced rank regression

Identifiers

PMID38263170
PMCPMC10804798
OpenAlexW4391140780

What Socratic holds

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LicenceCC BY
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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 Socratic graph.