Evidence map›Paper›PMID 30587262›Full record

ArticlePublic health nutrition2019

Associations of dietary patterns with hypertension among adults in Jilin Province, China: a structural equation modelling approach.

Junsen Ye, Yaogai Lv, Zhongmin Li, Yan Yao, Lina Jin

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Public health nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Longitudinal study of dietary patterns and hypertension in adults: China Health and Nutrition Survey 1991-2018.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
    Article
  5. Article
  6. 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

5 authors at 2 institutions in 1 country.

Junsen YeEpidemiology and Biostatistics, School of Public Health, Jilin University, No. 1163 Xinmin Street, Changchun, Jilin 130021, People's Republic of China.
Yaogai LvEpidemiology and Biostatistics, School of Public Health, Jilin University, No. 1163 Xinmin Street, Changchun, Jilin 130021, People's Republic of China.
Zhongmin LiEpidemiology and Biostatistics, School of Public Health, Jilin University, No. 1163 Xinmin Street, Changchun, Jilin 130021, People's Republic of China.
Yan YaoEpidemiology and Biostatistics, School of Public Health, Jilin University, No. 1163 Xinmin Street, Changchun, Jilin 130021, People's Republic of China.
Lina JinEpidemiology and Biostatistics, School of Public Health, Jilin University, No. 1163 Xinmin Street, Changchun, Jilin 130021, People's Republic of China.
Jilin University · CNSecond Affiliated Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the direct and indirect associations of dietary patterns with hypertension using structural equation modelling (SEM).

designFactor analysis with varimax rotation was used to classify different dietary patterns and SEM was employed to investigate the associations of dietary patterns with hypertension. Total cholesterol to HDL-cholesterol (TC:HDL-C) ratio and LDL-cholesterol to HDL-cholesterol (LDL-C:HDL-C) ratio were used as observed indicator variables of the lipid latent variable. Waist circumference, body fat percentage and BMI, which were associated with hypertension, were used as observed indicator variables of the obesity latent variable.

settingInternational Chronic Disease Cohort (ICDC) that began in 2005 with the purpose of describing the frequency and determinants of chronic diseases in Jilin Province, China.

participantsA total of 1492 adults (40-79 years) were enrolled in the baseline study from August 2010 to August 2011.

resultsHypertension prevalence in our study population was 34·9 %. It was found that the wine pattern, condiment pattern, obesity latent variable, lipid latent variable, glucose, age and family history of hypertension were factors that had an association with hypertension via SEM, and the corresponding coefficients were 0·056, 0·011, 0·230, 0·281, 0·098, 0·232 and 0·116, respectively.

conclusionsThe wine pattern and lipid latent variable had positive direct associations with hypertension. The condiment pattern had a positive indirect association with hypertension via the obesity latent variable. The vegetables pattern, modern pattern and snack pattern were not associated with hypertension.

Indexed as

Dietary patternsFactor analysisHypertensionStructural equation modelling

Identifiers

PMID30587262
PMCPMC6536898
OpenAlexW2908064856

What Socratic holds

Textmetadata
LicenceCC BY
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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.