Evidence map›Paper›PMID 39275205›Full record

ArticleNutrients2024

Impact of Dietary Patterns on Metabolic Syndrome in Young Adults: A Cross-Sectional Study.

Jingwen Liu, Wenfeng Lu, Qingyun Lv, Yaqi Wang, Xueying Xu, Yuan He, Hairong Chang, Yue Zhao, Xiaonan Zhang, Xiaoying Zang and 1 more

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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

11 authors.

Jingwen LiuSchool of Nursing, Tianjin Medical University, No. 22 Qixiangtai Road, Heping District, Tianjin 300070, China.ORCID 0009-0005-8220-0253
Wenfeng LuSchool of Nursing, Tianjin Medical University, No. 22 Qixiangtai Road, Heping District, Tianjin 300070, China.ORCID 0009-0003-8679-3020
Qingyun LvSchool of Nursing, Tianjin Medical University, No. 22 Qixiangtai Road, Heping District, Tianjin 300070, China.
Yaqi WangSchool of Nursing, Tianjin Medical University, No. 22 Qixiangtai Road, Heping District, Tianjin 300070, China.
Xueying XuSchool of Nursing, Tianjin Medical University, No. 22 Qixiangtai Road, Heping District, Tianjin 300070, China.
Yuan HeSchool of Nursing, Tianjin Medical University, No. 22 Qixiangtai Road, Heping District, Tianjin 300070, China.
Hairong ChangSchool of Nursing, Tianjin Medical University, No. 22 Qixiangtai Road, Heping District, Tianjin 300070, China.
Yue ZhaoSchool of Nursing, Tianjin Medical University, No. 22 Qixiangtai Road, Heping District, Tianjin 300070, China.
Xiaonan ZhangSchool of Nursing, Tianjin Medical University, No. 22 Qixiangtai Road, Heping District, Tianjin 300070, China.ORCID 0000-0002-9637-8408
Xiaoying ZangSchool of Nursing, Tianjin Medical University, No. 22 Qixiangtai Road, Heping District, Tianjin 300070, China.
Hua ZhangSchool of Nursing, Tianjin Medical University, No. 22 Qixiangtai Road, Heping District, Tianjin 300070, China.

Funding

Humanities and Social Science Fund of Ministry of Education of China 23YJAZH189National Natural Science Foundation of China 72274134National Natural Science Foundation of China 72304206Nursing Special Development Fund of Tianjin Medical University 2022XKZX-04
6 · The paper itself

Abstract

Metabolic syndrome has become a significant public health concern. This study aims to investigate the impact of dietary patterns on metabolic syndrome in young adults and how physical activity modulates this effect. A cross-sectional study was conducted at a health management center in Tianjin, China, from September 2022 to March 2023. Participants aged 18-35 years were recruited using convenience sampling. Dietary intake was assessed using a validated food frequency questionnaire. Logistic regression models evaluated associations between these patterns and metabolic syndrome, adjusting for potential confounders. Among 442 participants, four dietary patterns were identified: Legume-Nut, Alcohol-Meat, Sugar-Processed, and Egg-Vegetable. The Legume-Nut dietary pattern was associated with a higher risk of metabolic syndrome (OR = 2.63, 95% CI: 1.08-6.37), while the Egg-Vegetable dietary pattern was associated with a lower risk (OR = 0.26, 95% CI: 0.10-0.70). No significant associations were found for the Sugar-Processed and Alcohol-Meat patterns. Subgroup analysis revealed that the Legume-Nut pattern increased the risk of metabolic syndrome among those with irregular physical activity, whereas the Egg-Vegetable pattern decreased the risk. These findings highlight the significant influence of dietary patterns on the risk of metabolic syndrome in young adults and the modifying effect of regular physical activity, underscoring the need for targeted dietary and lifestyle interventions to prevent metabolic syndrome in this population.

Indexed as

DietExerciseMetabolic SyndromeAdolescentAdultChinaCross-Sectional StudiesFabaceaeFeeding BehaviorFemaleHumansMaleNutsRisk FactorsVegetablesYoung Adultcross-sectional studydietary patternsmetabolic syndromesubgroup analysisyoung adults

Identifiers

PMID39275205
PMCPMC11397102

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.