Evidence map›Paper›PMID 42393702›Full record

Observational studyLipids in health and disease2026

Baseline self-reported supplement category use and two-visit difference in lipoprotein(a): an observational analysis in UK Biobank.

Ying Sun, Yuefeng Yu, Lingli Cai, Kun Zhang, Xiao Tan, Yingli Lu, Yuying Wang, Ningjian Wang

Abstract readObservational Study
In one paragraph

Observational study in Lipids in health and disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Ying SunDepartment of Endocrinology and Metabolism, Pudong Gongli Hospital, Shanghai University of Medicine & Health Sciences, 219 Miaopu Road, Shanghai, 200135, China.
Yuefeng YuInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639 Zhizaoju Road, Shanghai, 200011, China.
Lingli CaiInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639 Zhizaoju Road, Shanghai, 200011, China.
Kun ZhangInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639 Zhizaoju Road, Shanghai, 200011, China.
Xiao TanDepartment of Big Data in Health Science, Zhejiang University, Hangzhou, China.
Yingli LuInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639 Zhizaoju Road, Shanghai, 200011, China.
Yuying WangDepartment of Endocrinology and Metabolism, Pudong Gongli Hospital, Shanghai University of Medicine & Health Sciences, 219 Miaopu Road, Shanghai, 200135, China. wangyy_wk@sina.com.
Ningjian WangDepartment of Endocrinology and Metabolism, Pudong Gongli Hospital, Shanghai University of Medicine & Health Sciences, 219 Miaopu Road, Shanghai, 200135, China. wnj486@126.com.ORCID http://orcid.org/0000-0001-9591-6991

Funding

National Natural Science Foundation of China 82370862National Science and Technology Innovation 2030 2023ZD0508402Natural Science Foundation of China 825B2022
6 · The paper itself

Abstract

backgroundCirculating Lp(a) is largely genetically determined, but repeated measurements indicate that Lp(a) concentrations may differ within individuals over time. It remains unclear whether self-reported use of common supplement categories is associated with differences between repeated Lp(a) measurements. We aimed to investigate associations between baseline self-reported supplement-category use and two-visit difference in Lp(a), and to explore whether these associations differed by Lp(a) genetic risk.

methodsWe included 12,109 UK Biobank participants with Lp(a) measured at baseline and at the first repeat assessment. Self-reported use of common supplement categories (vitamins A, B, C, D, E, folate, and multi-vitamins) was assessed by questionnaire. The primary outcome was the continuous two-visit difference in log10[Lp(a)], defined as log10[repeat-assessment Lp(a)] minus log10[baseline Lp(a)]. The primary analysis used core behavioral/sociodemographic-adjusted multivariable linear regression. Threshold-category and genetic-risk analyses were secondary and exploratory.

resultsAmong 12,109 participants with repeated Lp(a) measurements over a median 4.4 years, estimates in the primary core behavioral/sociodemographic-adjusted continuous log-scale model were small and centered near the null, ranging from β = -0.014 to 0.005 log10 units, corresponding to approximately - 3.18% to 1.22% relative difference in the conditional repeat-to-baseline Lp(a) ratio. None met the Bonferroni-corrected threshold. Expanded clinical/genetic adjustment and secondary descriptive screens did not alter the null interpretation.

conclusionsIn this selected repeat-assessment sample, baseline self-reported use of common supplement categories was not associated with two-visit difference in log10[Lp(a)]. Because supplement use was measured only as broad baseline self-reported categories, these findings should not be interpreted as evidence about dose-specific, sustained, or biological effects of vitamin supplementation on Lp(a).

Indexed as

Dietary SupplementsLipoprotein(a)AdultAgedBiological Specimen BanksFemaleHumansMaleMiddle AgedSelf ReportUK BiobankUnited KingdomVitaminsLipoprotein(a)Vitaminsgenetic risklipoprotein(a)observational studyvitamin supplements

Identifiers

PMID42393702
PMCPMC13599108

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Registered trials

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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.