Evidence map›Paper›PMID 30200909›Full record

ArticleBMC public health2018

Association between dietary patterns and hypertension among Han and multi-ethnic population in southwest China.

Yuan Ruan, Yongshou Huang, Qiang Zhang, Shu Qin, Xiaoxia Du, Yongxin Sun

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 12% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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  9. 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
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  18. Associations of Dietary Patterns and Risk of Hypertension in Southwest China: A Prospective Cohort Study.International journal of environmental research and public health · 2021
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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

6 authors at 2 institutions in 1 country.

Yuan RuanDepartment of nutrition and food hygiene, Centre for Disease Control and Prevention (CDC), No.158 Dongsi Street, Kunming, 650022, Yunnan, China. 973686121@qq.com.ORCID http://orcid.org/0000-0002-0118-1603
Yongshou HuangPeople's hospital of Diqing Tibetan Autonomous Prefecture, No. 19 Chicika Street, Shangri-la, Diqing, 674400, Yunnan, China.
Qiang ZhangDepartment of nutrition and food hygiene, Centre for Disease Control and Prevention (CDC), No.158 Dongsi Street, Kunming, 650022, Yunnan, China.
Shu QinCDC of Diqing Tibetan Autonomous Prefecture, No. 88 Ren'an Road, Shangri-la, Diqing, 674400, Yunnan, China.
Xiaoxia DuCDC of Diqing Tibetan Autonomous Prefecture, No. 88 Ren'an Road, Shangri-la, Diqing, 674400, Yunnan, China.
Yongxin SunPeople's hospital of Diqing Tibetan Autonomous Prefecture, No. 19 Chicika Street, Shangri-la, Diqing, 674400, Yunnan, China.
Shangri-la Institute · CNYunnan Center for Disease Control And Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDifferent dietary patterns and the risks of hypertension in various diet exposures among multi-ethnic population in southwest China remain extremely scarce. The aim of this study is to identify dietary patterns and explore the association between dietary patterns and the risk of hypertension among Han and multi-ethnic population in southwest China.

methodsA representative sample of 3591 participants of Han, and multi-ethnic population were recruited by stratified cluster sampling in Diqing of Yunnan Province, southwest China from September 2012 to January 2013. Participants who were under 18 years old or who could not clearly answer the questions and those who used the anti-hypertensive medication were excluded from this survey. All participants reported their dietary intakes using validated food frequency questionnaires (FFQ), and their blood pressures were measured by standardized procedures. Hypertension was defined as systolic blood pressure (SBP) ≥ 140 mmHg and/or diastolic blood pressure (DBP) ≥ 90 mmHg. Dietary patterns were identified by factor analysis with principal component. Logistic regression was used to explore the association between dietary patterns and hypertension.

resultsThe overall prevalence of hypertension was 30.5% among Han and multi-ethnic population in Diqing, Yunnan Province. Three dietary patterns were identified in this study, defined as 'Grassland healthy', 'Tuber and meat', and 'Fruit and vegetable'. Participants in the 5th quintile of the three dietary patterns were at a lower risk of hypertension compared with those in the 1st quintile. The odds ratio (OR) for the 5th quintile of 'Grassland healthy' pattern, 'Tuber and meat' and 'Fruit and vegetable' was 0.693 (95% CI: 0.537-0.893, p = 0.005), 0.678 (95% CI: 0.530-0.868, p = 0.002), 0.759 (95% CI: 0.593-0.970, p = 0.028), respectively. After further adjustment of participants' age, the negative association between the 'Grassland healthy' pattern and the prevalence of hypertension persisted (OR = 0.703, 95% CI: 0.535-0.924, p = 0.012). However, the significant associations between the other two dietary patterns and hypertension disappeared.

conclusionsThe 'Grassland healthy' dietary pattern is associated with lower risk of hypertension, whereas there is no significant associations between the other two dietary patterns and hypertension among Han and multi-ethnic population in Diqing of Yunnan province, southwest China.

Indexed as

AdolescentAdultChinaCultural DiversityDietEthnicityFemaleHumansHypertensionMaleMiddle AgedPrevalenceRiskYoung AdultChinaDietary patternFactor analysisHypertensionMulti-ethnic

Identifiers

PMID30200909
PMCPMC6131804
OpenAlexW2891570023

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.