Evidence map›Paper›PMID 38034642›Full record

ArticleHeliyon2023

Cross-cultural adaptation for international nursing students from the Belt and Road Initiative in China: A follow-up survey study.

Haiyan Sun, Suqin Liu, Ayano Nagai, Lingling Guo, Yin Lű

Abstract read
In one paragraph

Article in Heliyon, 2023. 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

5 authors.

Haiyan SunSchool of Nursing, Jiangsu Vocational College of Medicine, 224005, Yancheng, Jiangsu, PR China.
Suqin LiuSchool of Nursing, Jiangsu Vocational College of Medicine, 224005, Yancheng, Jiangsu, PR China.
Ayano NagaiSocial Welfare Corporation Keiseikai Group, 5440014, Osaka, Japan.
Lingling GuoSchool of Nursing, Jiangsu Vocational College of Medicine, 224005, Yancheng, Jiangsu, PR China.
Yin LűSchool of Nursing, Jiangsu Vocational College of Medicine, 224005, Yancheng, Jiangsu, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: and Purpose: As the number of international students from Belt and Road Initiative countries continues to increase in China, it is essential to find methods to improve cross-cultural adaptation in the host country, a crucial aspect of the experiences of international nursing students. Therefore, this study aimed to investigate the change in cross-cultural adaptation of international nursing students during the first year in China. Methods: Data collection was conducted for international nursing students (n = 108) between September 2019 and August 2020, focusing on sociocultural adaptation, academic adaptation, and academic performance of international nursing students using validated questionnaires. Results: The mean score at the follow-up time verified an increased level of sociocultural and academic adaptation and academic performance. Academic adaptation is a complete mediator between sociocultural adaptation and academic performance at two-time points, and the size of the mediation effect accounted for 95.9 % of the total effect in six months and 99.0 % in one year. Conclusions: The findings emphasized the importance of sociocultural and academic adaptation in cross-cultural adaptation and suggest that educational institutions should provide learning environments supporting these factors to ensure academic success.

Indexed as

Academic adaptationAcademic performanceCross-cultural adaptationInternational studentNursing educationSociocultural adaptation

Identifiers

PMID38034642
PMCPMC10682622

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.