Evidence map›Paper›PMID 38479739›Full record

ArticleBMJ open2024

Association between socioeconomic status and hypertension among adults in Fujian province and the mediating effect of BMI and cooking salt intake: a cross-sectional study.

Yuqing Li, Wailiang Ge, Minxia Wu, Mengyang Gao, Zhongrui Peng, Yaofeng Han, Xiangju Hu, Lei Li

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. A systematic review of causal pathways of socioeconomic inequalities in stroke.International journal of stroke : official journal of the International Stroke Society · 2026
    Pooled it
  2. Article
  3. Article
  4. Observational
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.

Yuqing Li *State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, Xiamen University School of Public Health, Xiamen, China.
Wailiang Ge *State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, Xiamen University School of Public Health, Xiamen, China.
Minxia WuPublic Technology Service Center, Fujian Medical University, Fuzhou, China.
Mengyang GaoState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, Xiamen University School of Public Health, Xiamen, China.
Zhongrui PengState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, Xiamen University School of Public Health, Xiamen, China.
Yaofeng HanState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, Xiamen University School of Public Health, Xiamen, China.
Xiangju HuDepartment for Chronic and Noncommunicable Disease Control and Prevention, Fujian Provincial Center for Disease Control and Prevention, Fuzhou, China lilei2003@126.com huxiangju@fjmu.edu.cn.
Lei LiState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, Xiamen University School of Public Health, Xiamen, China lilei2003@126.com huxiangju@fjmu.edu.cn.ORCID 0000-0002-3529-6353

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to investigate the association between socioeconomic status (SES) and the prevalence of hypertension in Fujian province, China, and to evaluate the mediating effect of body mass index (BMI) and cooking salt intake between SES and hypertension.

designCommunity-based cross-sectional survey was conducted between June 2018 and December 2019.

settingFujian province, China.

participantsA total of 26 500 participants aged >18 years completed the survey. OUTCOME MEASURES: The primary outcome was the prevalence of hypertension. Education, income and occupation were used as SES indicators. Meanwhile, certain health behaviours and metabolic risk factors were used as secondary indicators of SES.

resultsThe prevalence of hypertension was relatively high among participants who finished primary education (34.8%), had the lowest annual income (46.0%), were unemployed or retired (34.7%). Education and income levels were negatively associated with the prevalence of hypertension (p<0.05). Regular smoking, alcohol consumption, BMI and high cooking salt intake were also significantly associated with the prevalence of hypertension (p<0.05). Cooking salt intake was identified as a partial mediator between income and hypertension, mediating 3.45% of the association. Both BMI and cooking salt intake were partial mediators between education and hypertension, mediating 5.23% and 1.93% of the association, respectively.

conclusionsSES was associated with the prevalence of hypertension among adults in Fujian province, China. BMI and cooking salt intake were partial mediators of the association between SES and hypertension.

Indexed as

HypertensionSodium Chloride, DietaryAdultBody Mass IndexCookingCross-Sectional StudiesHumansPrevalenceRisk FactorsSmokingSocial ClassSocioeconomic FactorsSodium Chloride, Dietaryepidemiologic studiesfactor analysis, statisticalhypertensionpublic health

Identifiers

PMID38479739
PMCPMC10936483

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.