Evidence map›Paper›PMID 37252290›Full record

ArticleSSM - population health2023

Yanan Luo, Xin Ye, Yiran Wang, Yunduo Liu, Richard Liang, Ping He, Xiaoying Zheng

Abstract read
In one paragraph

Article in SSM - population health, 2023. 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

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

7 authors.

Yanan LuoDepartment of Global Health, School of Public Health, Peking University, Beijing, China.
Xin YeInstitute for Global Public Policy, Fudan University, Shanghai, China.
Yiran WangSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China.
Yunduo LiuSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China.
Richard LiangSchool of Medicine, Stanford University, California, USA.
Ping HeChina Center for Health Development Studies, Peking University, Beijing, China.
Xiaoying ZhengSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: China's send-down movement in the 1960s and 1970s, as a natural experiment, provides a unique opportunity to investigate the relationship between peers' dissemination of health literacy, community health workers, and infectious disease control in areas with weak health systems and inadequate human resources. To address the lack of studies on the health effects of the send-down movement, this study examined the associations between prenatal exposure to the send-down movement and infectious diseases in China. Methods: We analyzed 188,253 adults born in 1956-1977 with rural Results: Individuals in SDY-receiving areas with increased intensity of prenatal exposure to the send-down movement had a decreased probability of infectious diseases (β = -0.0362, 95% CI: 0.0591, -0.0133) after controlling for a set of regional and cohort characteristics. This association was stronger in counties with more prevalent infectious diseases prior to the send-down movement (β = -0.0466, 95% CI: 0.0884, -0.0048) than in those with less prevalence (β = -0.0265, 95% CI: 0.0429, -0.010). No substantial differences were found across sex-specific groups or by strictness of send-down movement implementation. On average, prenatal exposure to the send-down movement corresponded to a decrease in the probability of infectious diseases in rural areas by 19.70%. Conclusions: For areas with weak health systems, strengthening community health workers and promoting health literacy may be two key points to address the burden of infectious diseases. Increasing education and primary health care through peer-to-peer dissemination may contribute to the reduction of infectious disease prevalence.

Indexed as

Infectious diseasesRural areasSend-down movement

Identifiers

PMID37252290
PMCPMC10209325

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.