Evidence map›Paper›PMID 34878549›Full record

ArticleJAMA network open2021

Factors Associated With the Use of a Salt Substitute in Rural China.

Yishu Liu, Hongling Chu, Ke Peng, Xuejun Yin, Liping Huang, Yangfeng Wu, Sallie-Anne Pearson, Nicole Li, Paul Elliott, Lijing L Yan and 14 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
1.8field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Observational
  6. Article
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  13. Advances in pathogenesis and treatment of essential hypertension.Frontiers in cardiovascular medicine · 2022
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors at 12 institutions in 4 countries.

Yishu LiuThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Hongling ChuResearch Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China.
Ke PengThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Xuejun YinThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Liping HuangThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Yangfeng WuThe George Institute for Global Health at Peking University Health Science Center, Beijing, China.
Sallie-Anne PearsonCentre for Big Data Research in Health, University of New South Wales, Sydney, Australia.
Nicole LiThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Paul ElliottSchool of Public Health, Imperial College London, London, United Kingdom.
Lijing L YanThe George Institute for Global Health at Peking University Health Science Center, Beijing, China.
Darwin R LabartheFeinberg School of Medicine, Northwestern University, Chicago, Illinois.
Zhixin HaoThe George Institute for Global Health at Peking University Health Science Center, Beijing, China.
Xiangxian FengSchool of Public Health, Changzhi Medical College, Changzhi, China.
Jianxin ZhangDepartment of Noncommunicable Disease Prevention and Control, Center for Disease Control of Hebei Province, Shijizhuang, China.
Yuhong ZhangSchool of Public Health and Management, Ningxia Medical University, Yinchuan, China.
Ruijuan ZhangSchool of Public Health, Xi'an Jiaotong University School of Medicine, Xi'an, China.
Bo ZhouDepartment of Evidence-based Medicine, First Hospital of China Medical University, Shenyang, China.
Zhifang LiSchool of Public Health, Changzhi Medical College, Changzhi, China.
Jixin SunDepartment of Noncommunicable Disease Prevention and Control, Center for Disease Control of Hebei Province, Shijizhuang, China.
Yi ZhaoSchool of Public Health and Management, Ningxia Medical University, Yinchuan, China.
Yan YuSchool of Public Health, Xi'an Jiaotong University School of Medicine, Xi'an, China.
Maoyi TianThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Bruce NealThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Hueiming LiuThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
UNSW Sydney · AUChangzhi Medical College · CNHebei Provincial Center for Disease Control and Prevention · CNImperial College London · GBNingxia Medical University · CNPeking University · CNThe George Institute for Global Health · AUXi'an Jiaotong University · CNChina Medical University · CNGeorge Institute for Global Health · CNNorthwestern University · USPeking University Third Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Lowering sodium intake reduces blood pressure and may reduce the risk of cardiovascular diseases. The use of reduced-sodium salt (a salt substitute) may achieve sodium reduction, but its effectiveness may be associated with the context of its use. Objective: To identify factors associated with the use of salt substitutes in rural populations in China within the Salt Substitute and Stroke Study, a large-scale cluster randomized trial. Design, Setting, and Participants: This sequential mixed-methods qualitative evaluation, conducted from July 2 to August 28, 2018, in rural communities across 3 provinces in China, included a quantitative survey, collection of 24-hour urine samples, and face-to-face interviews. A random subsample of trial participants, selected from the 3 provinces, completed the quantitative survey (n = 1170) and provided urine samples (n = 1025). Interview respondents were purposively selected from the intervention group based on their different ranges of urinary sodium excretion levels. Statistical analysis was performed from September 18, 2018, to February 22, 2019. Exposures: The intervention group of the Salt Substitute and Stroke Study was provided with the free salt substitute while the control group continued to use regular salt. Main Outcomes and Measures: Knowledge, attitudes, and behaviors regarding the use of the salt substitute were measured using quantitative surveys, and urinary sodium levels were measured using 24-hour urine samples. Contextual factors were explored through semistructured interviews and integrated findings from surveys and interviews. Results: A total of 1170 individuals participated in the quantitative survey. Among the 1025 participants with successful urine samples, the mean (SD) age was 67.4 (7.5) years, and 502 (49.0%) were female. The estimated salt intake of participants who believed that high salt intake was good for health was higher; however, it was not significantly different (0.84 g/d [95% CI, -0.04 to 1.72 g/d]) from those who believed that high salt intake was bad for health. Thirty individuals participated in the qualitative interviews (18 women [60.0%]; mean [SD] age, 70.3 [6.0] years). Quantitative and qualitative data indicated high acceptability of and adherence to the salt substitute. Contextual factors negatively associated with the use of the salt substitute included a lack of knowledge about the benefits associated with salt reduction and consumption of high-sodium pickled foods. In addition, reduced antihypertensive medication was reported by a few participants using the salt substitute. Conclusions and Relevance: This study suggests that lack of comprehensive understanding of sodium reduction and salt substitutes and habitual consumption of high-sodium foods (such as pickled foods) were the main barriers to the use of salt substitutes to reduce sodium intake. These factors should be considered in future population-based, sodium-reduction interventions.

Indexed as

Health Knowledge, Attitudes, PracticeAgedChinaDiet, Sodium-RestrictedFemaleFlavoring AgentsHumansHypertensionMaleMiddle AgedRural PopulationSodium Chloride, DietaryFlavoring AgentsSodium Chloride, Dietary

Identifiers

PMID34878549
PMCPMC8655604
OpenAlexW4200344754

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.