Evidence map›Paper›PMID 36527353›Full record

Trial reportJournal of global health2022

Effectiveness of an integrative programme in reducing hypertension incidence among the population at risk for hypertension: A community-based randomized intervention study in Shanghai, China.

Jiayun Wang, Qiyun Jiang, Dan Gong, Honglian Liu, Peng Zhou, Donglan Zhang, Xing Liu, Jun Lv, Chengyue Li, Huiqi Li

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of global health, 2022. 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
0.7field-weighted citation impact, top 28% 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

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

  1. Pooled it
  2. Article
  3. Article
  4. 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

10 authors at 2 institutions in 4 countries.

Jiayun Wang *Department of Health Policy and Management, School of Public Health, Fudan University, China.
Qiyun Jiang *Department of Health Policy and Management, School of Public Health, Fudan University, China.
Dan GongDepartment of Health Policy and Management, School of Public Health, Fudan University, China.
Honglian LiuChangning District Xinhua Street Community Health Service Center, China.
Peng ZhouChangning District Center for Disease Control and Prevention, China.
Donglan ZhangDivision of Health Services Research, Department of Foundations of Medicine, New York University Long Island School of Medicine, USA.
Xing LiuDepartment of Epidemiology, School of Public Health, Fudan University, China.
Jun LvDepartment of Health Policy and Management, School of Public Health, Fudan University, China.
Chengyue LiDepartment of Health Policy and Management, School of Public Health, Fudan University, China.
Huiqi LiSchool of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Sweden.
Health Strat (Kenya) · KEFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We aimed to evaluate the effectiveness of a community-based integrative programme in reducing hypertension incidence among populations at high risk for hypertension in Shanghai, Eastern China. Methods: We conducted a cluster-randomized intervention trial with a total of 607 participants (intervention, n = 303; control, n = 304) between October 2019 and October 2020. A total of 605 participants (intervention, n = 302; control, n = 303) completed the follow-up survey. The intervention group received an integrative programme that included health education, physician follow-up, and self-management, while the control group received usual care only. We used questionnaires to investigate risk factors, knowledge, attitudes, and behaviours regarding hypertension prevention for all participants at baseline and follow-up. We measured the incidence of hypertension according to the predefined protocol based on the national definition during the four follow-ups (only applicable to the intervention group) and the physical examination at the end of the intervention/programme/study. The difference-in-difference (DID) effects of the intervention were estimated using Generalized Estimating Equations. Results: There were no significant differences in age group, gender, and educational level between intervention and control groups at baseline. The integrative programme reduced the incidence of hypertension in the intervention group compared to the control group (odds ratio (OR) = 0.27, 95% confidence interval (CI) = 0.12-0.61). The DID analysis found that the one-year intervention has improved the level of hypertension-related knowledge and attitudes regarding diagnostic criteria, complications of hypertension, and lifestyle modification (P < 0.05). The intervention was also associated with a 3.7% increase in the behaviour change rate of "not smoking" (OR = 2.50, 95% CI = 1.45-4.30) and a 34.8% increase in the rate of "monitoring blood pressure regularly" (OR = 29.61, 95% CI = 13.02-67.35). Conclusions: The integrative programme could reduce the risk for hypertension and improve the level of hypertension-related knowledge and attitudes, affecting the formation of healthy behaviours in high-risk populations. The community-based management for high-risk groups should be scaled up and incorporated into national hypertension control programmes, which may potentially reduce the substantial burden of hypertension and cardiovascular disease in China. Registration: ISRCTN registration number: ISRCTN74154693.

Indexed as

HypertensionChinaHumansIncidenceLife StyleProgram EvaluationRisk Factors

Identifiers

PMID36527353
PMCPMC9758656
OpenAlexW4311715206

What Socratic 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 Socratic graph.