Evidence map›Paper›PMID 38359002›Full record

ArticlePloS one2024

Dietary intake is associated with the prevalence of uterine leiomyoma in Korean women: A retrospective cohort study.

Min-Jeong Kim, Sunmie Kim, Jin Ju Kim, Young Sun Kim, Ji Hyun Song, Jung Eun Lee, Jiyoung Youn, Sun Young Yang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Min-Jeong KimDepartment of Obstetrics and Gynecology, Division of Gynecology Oncology, CHA Hospital Ilsan Medical Center, Goyang-si, Gyonggi-do, Republic of Korea.ORCID 0000-0002-8709-1827
Sunmie KimDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Republic of Korea.ORCID 0000-0001-5122-2218
Jin Ju KimDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Republic of Korea.
Young Sun KimDepartment of Internal Medicine and Healthcare Research Institute, Seoul National University Hospital, Healthcare System Gangnam Center, Seoul, Republic of Korea.
Ji Hyun SongDepartment of Internal Medicine and Healthcare Research Institute, Seoul National University Hospital, Healthcare System Gangnam Center, Seoul, Republic of Korea.
Jung Eun LeeDepartment of Food and Nutrition, College of Human Ecology, Seoul National University, Seoul, Korea.
Jiyoung YounDepartment of Food and Nutrition, College of Human Ecology, Seoul National University, Seoul, Korea.
Sun Young YangDepartment of Internal Medicine and Healthcare Research Institute, Seoul National University Hospital, Healthcare System Gangnam Center, Seoul, Republic of Korea.
Seoul National University Hospital · KRSeoul National University · KRNational Health Insurance Service Ilsan Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveUterine leiomyoma (UL), the most prevalent benign gynecologic tumor among reproductive-aged women, lacks sufficient research on the potential association between dietary intake and its occurrence in Korean women. Addressing this research gap, this study aims to evaluate the potential link between dietary intake and the prevalence of UL in Korean women.

methodsIn this cross-sectional study, a cohort of 672 women, aged 23 to 73, were enrolled, with 383 (57%) being premenopausal. Dietary intake was assessed using a validated food frequency questionnaire (FFQ), and UL presence was determined through ultrasonography. The analysis focused exclusively on items within ten categories, including vegetables/fruit, vegetables, fruits, red meat, processed meat, poultry, fish, dairy product, milk, and alcohol. Multiple logistic regression models were employed to explore the relationship between dietary intake and the prevalence of UL, calculating odds ratios (ORs) and 95% confidence intervals (CIs) while adjusting for confounding factors.

resultsWithin the total cohort, 220 (32.7%) women were diagnosed with UL. High intakes of fish and poultry showed an association with higher UL prevalence. Odds ratios (95% CIs) for the upper quartiles compared to the lower quartiles were 1.68 (1.01-2.81; p trend = 0.05) for fish intake and 1.87 (1.11-3.17; p trend = 0.06) for poultry intake. Conversely, an inverse relationship emerged between dairy product intake and UL prevalence, with an odds ratio of 0.58 (95% CI 0.35-0.96; p trend = 0.05). Stratifying the analysis by menopausal status revealed a parallel pattern, with heightened UL prevalence with fish intake and reduced prevalence with dairy product intake. However, the link between poultry intake and UL prevalence was primarily observed among postmenopausal women. Among premenopausal women, elevated vegetable intake was linked to a decreased UL prevalence (OR 0.45, 95% CI 0.21-0.97 for top vs. bottom quartiles; p trend = 0.01).

conclusionWe found that high consumption of fish and poultry, coupled with low intake of dairy products, correlated with an elevated prevalence of UL. Furthermore, vegetable intake exhibited an inverse relationship with UL prevalence, particularly among premenopausal women.

Indexed as

DietLeiomyomaAdultAnimalsCross-Sectional StudiesEatingFemaleFruitHumansMilkPrevalenceRepublic of KoreaRetrospective StudiesRisk FactorsSurveys and QuestionnairesVegetables

Identifiers

PMID38359002
PMCPMC10868850
OpenAlexW4391839419

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.