Evidence map›Paper›PMID 39639131›Full record

ArticleHypertension research : official journal of the Japanese Society of Hypertension2025

Quantity and variety of food groups consumption and the risk of hypertension in adults: a prospective cohort study.

Yuanxiu Wei, Xinyue Su, Gangling Wang, Cheng Zu, Qiguo Meng, Yanjun Zhang, Sisi Yang, Ziliang Ye, Yuanyuan Zhang, Xianhui Qin

Abstract read
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In one paragraph

Article in Hypertension research : official journal of the Japanese Society of Hypertension, 2025. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Yuanxiu Wei *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Xinyue Su *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Gangling WangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Cheng ZuDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Qiguo MengDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Yanjun ZhangDivision of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China.
Sisi YangDivision of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China.
Ziliang YeDivision of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China.
Yuanyuan ZhangDivision of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China.
Xianhui QinDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China. pharmaqin@126.com.

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUSAN M. SMITH · 1999 to 2026
$31.6M
MONITORING SOCIAL CHANGE: HEALTH, REPRODUCTION, AGINGR01HD030880 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S, POPKIN, BARRY M · 1994 to 2024
$27.0M
Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
CHILD HEALTH EFFECTS OF RAPID SOCIO-DEMOGRAPHIC CHANGER01HD038700 · NICHD · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2000 to 2004
$1.5M
Nutrition-Related NCD Prevention Training in ChinaD43TW009077 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2011 to 2015
$1.1M
Nutrition-Related NCD Prevention Training in ChinaD43TW007709 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2006 to 2010
$723k
FIC NIH HHS D43 TW007709FIC NIH HHS D43 TW009077NICHD NIH HHS R01 HD030880NICHD NIH HHS R01 HD038700NICHD NIH HHS R24 HD050924NIDDK NIH HHS P30 DK056350
6 · The paper itself

Abstract

The prospective association of dietary diversity and different food groups with the risk of hypertension in the general Chinese adults has not been evaluated. We aimed to evaluate the relationship of variety and quantity of 12 major food groups with new-onset hypertension in the Chinese adults. A total of 11,118 adults from the China Health and Nutrition Survey (CHNS) were included. The study outcome was new-onset hypertension, defined as systolic blood pressure (SBP) ≥ 140 mmHg or diastolic blood pressure (DBP) ≥ 90 mmHg or diagnosed hypertension by physician or under antihypertensive treatment during the follow-up. During a median follow-up period of 6.0 years, 3867 participants occurred new-onset hypertension. There was a L-shaped relationship of dietary variety score with new-onset hypertension (P for nonlinearity < 0.001). Compared with those in the quartile 1 of dietary variety score, participants in the quartile 2-4 were associated with a significantly lower risk of hypertension (HR, 0.64; 95% CI: 0.59, 0.69). In addition, there were U-shaped associations of dairy products, vegetables, aquatic products, nuts, red meat, whole grains, refined grains, processed meat, and poultry intake with new-onset hypertension, and L-shaped associations of fruits, legumes, and eggs intake with new-onset hypertension (all P for nonlinearity < 0.001). In conclusion, there was an inverse association of dietary variety score with new-onset hypertension in the Chinese adults. Furthermore, there was a negative association between different food group intake and new-onset hypertension when food group intake was relatively low; however, the risk of hypertension increased or plateaued when the intake exceeded a certain threshold.

Indexed as

DietHypertensionAdultAgedBlood PressureChinaFemaleHumansMaleMiddle AgedNutrition SurveysProspective StudiesRisk FactorsDietary varietyFood groupsHypertensionQuantity

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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 OpenQuestion graph.