Evidence map›Paper›PMID 35805229›Full record

ArticleInternational journal of environmental research and public health2022

The Effect of Health Change on Long-Term Settlement Intentions of International Immigrants in New Destination Countries: Evidence from Yiwu City in China.

Tao Xu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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

1 author.

Tao XuCollege of Law and Political Science, Zhejiang Normal University, Jinhua 321004, China.ORCID 0000-0002-6487-6664

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Previous studies on settlement intentions have mainly focused on the explanations of social and economic rationality, culture, and institution, but insufficient attention had been paid to the relationship between health and settlement intentions. This study explored the relationship between changes in the health status of immigrants and their settlement intentions. Method: A cross-sectional survey was conducted both in 2018 and 2019. Foreigners who visited the Yiwu Municipal Exit−Entry Administration Office to extend their visas were invited to participate in the study. Quantitative data, such as the participants’ sociodemographic characteristics, job status, employment, immigration experience, key factors associated with the intention to settle down, medical insurance coverage, and changes in health status, were collected by questionnaire. Results: A change in health status significantly affected the intention to settle down: the more healthy that people became, the more likely they intended to settle down (β = 0.233; p < 0.001), and, simultaneously, changes in health status were also moderated by the length of stay in China (β = 0.320; p < 0.001) and medical insurance (β = 0.134; p < 0.001), which affected people’s willingness to settle down. Conclusions: Changes in health status, and not health status itself, affected immigrants’ willingness to settle down. In addition, social insurance, and the length of stay in the place receiving immigrants, affected immigrants’ willingness to settle down not only directly, but also indirectly by moderating the impact of the change in health status on the willingness to settle down.

Indexed as

Emigrants and ImmigrantsTransients and MigrantsChinaCross-Sectional StudiesHumansIntentionchanges in health statuslength of staysocial insurancewillingness to settle down

Identifiers

PMID35805229
PMCPMC9266219

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.