Evidence mapPaperPMID 37299539Full record

ArticleNutrients2023

Influence of Sex Differences on Serum Lipid Profiles among Habitual Coffee Drinkers: Evidence from 23,072 Taiwan Biobank Participants.

Meng-Ying Lu, Jerry Cheng-Yen Lai, Shaw-Ji Chen

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
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 at 2 institutions in 1 country.

Meng-Ying LuDivision of Cardiology, Department of Internal Medicine, Taitung MacKay Memorial Hospital, Taitung 95054, Taiwan.
Jerry Cheng-Yen LaiMaster Program in Biomedicine, College of Science and Engineering, National Taitung University, Taitung 95092, Taiwan.ORCID 0000-0001-8280-144X
Shaw-Ji ChenDepartment of Medicine, MacKay Medical College, New Taipei City 25245, Taiwan.ORCID 0000-0002-1732-025X
National Taitung University · TWMackay Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The bioactive compounds of coffee are involved in lipid metabolism, and sex differences may play an important role. This study aimed to evaluate the influence of sex differences on serum lipid profiles among habitual coffee drinkers. We conducted a nationwide cross-sectional study of 23,628 adults using data obtained from the Taiwan Biobank database. Adults who drank more than one cup of coffee per day and those who drank less than one cup per day were compared with non-drinkers. After adjusting for baseline demographics and lifestyle, a generalized linear model was used to estimate the change in serum lipid profiles in men and women and in postmenopausal and premenopausal women among different coffee-drinking behaviors. We found that habitual coffee consumption changed the serum lipid profiles of men and women. Further, coffee drinkers had higher serum total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and lower serum triglyceride levels than non-drinkers. Compared with premenopausal women, both men and postmenopausal women had increased serum total cholesterol and low-density lipoprotein cholesterol levels. Menopausal status may play an important role in modulating the effect of habitual coffee intake on dyslipidemia. Moreover, premenopausal women potentially benefit more from habitual coffee drinking than men and postmenopausal women.

Indexed as

Biological Specimen BanksSex CharacteristicsAdultCholesterol, HDLCholesterol, LDLCross-Sectional StudiesFemaleHumansMaleTaiwanCholesterol, HDLCholesterol, LDLcoffeelipid profilemenopausesex

Identifiers

PMID37299539
PMCPMC10255923
OpenAlexW4378983179

What Socratic holds

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LicenceCC BY
Read underepoch 390

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 Socratic graph.