Evidence map›Paper›PMID 34442195›Full record

ArticleHealthcare (Basel, Switzerland)2021

The Impacts of Regional Regulatory Policies on the Prevention and Control of Chronic Diseases in China: A Mediation Analysis.

Huihui Huangfu, Qinwen Yu, Peiwu Shi, Qunhong Shen, Zhaoyang Zhang, Zheng Chen, Chuan Pu, Lingzhong Xu, Zhi Hu, Anning Ma and 9 more

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

19 authors.

Huihui HuangfuResearch Institute of Health Development Strategies, Fudan University, Shanghai 200032, China.
Qinwen YuResearch Institute of Health Development Strategies, Fudan University, Shanghai 200032, China.
Peiwu ShiCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Qunhong ShenCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Zhaoyang ZhangCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Zheng ChenCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Chuan PuCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Lingzhong XuCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Zhi HuCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Anning MaCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Zhaohui GongCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Tianqiang XuCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Panshi WangCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Hua WangCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Chao HaoCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China.
Qingyu ZhouResearch Institute of Health Development Strategies, Fudan University, Shanghai 200032, China.
Li LiResearch Institute of Health Development Strategies, Fudan University, Shanghai 200032, China.
Chengyue LiResearch Institute of Health Development Strategies, Fudan University, Shanghai 200032, China.
Mo HaoResearch Institute of Health Development Strategies, Fudan University, Shanghai 200032, China.

Funding

National Natural Science Foundation of China 71774031National Natural Science Foundation of China 72074048Shanghai Foundation for Talents Development 2020128Three-Year Action Plan of Shanghai Municipality Strengthens Public Health System Construction GWIV-32Three-Year Action Plan of Shanghai Municipality Strengthens Public Health System Construction GWV-12
6 · The paper itself

Abstract

Regional regulatory policies (RPs) are a major factor in the prevention and control of chronic diseases (PCCDs) through the implementation of various measures. This study aimed to explore the impacts of RPs on PCCDs, with a focus on the mediating roles of community service. The soundness of the regulatory mechanism (SORM) was used to measure the soundness of RPs based on 1095 policy documents (updated as of 2015). Coverage provided by community service institutions (CSIs) and community health centres (CHCs) was used to represent community service coverage derived from the China Statistical Yearbook (2015), while the number of chronic diseases (NCDs) was used to measure the effects of PCCDs based on data taken from the 2015 China Health and Retirement Longitudinal Study survey. To assess the relationship between SORM, NCDs and community service, a negative binomial regression model and mediation analysis with bootstrapping were conducted. Results revealed that there was a negative correlation between SORM and NCDs. CSIs had a major effect on the relationship between RPs and PCCDs, while CHCs had a partial mediating effect. RPs can effectively prevent and control chronic diseases. Increased effort should also be aimed at strengthening the roles of CSIs and CHCs.

Indexed as

community health centrecommunity service institutionmediation analysisprevention and control of chronic diseasesregulatory policy

Identifiers

PMID34442195
PMCPMC8392473

What OpenQuestion holds

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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.