369
Views
1
CrossRef citations to date
0
Altmetric
Research Article

Homesickness among rural Appalachian university students

, BSN, , PhD, RN, CNE, , PhD, , PhD, APRN, FNP-BC & , MSW
Received 20 Jun 2022, Accepted 16 Jan 2023, Published online: 07 Feb 2023
 

Abstract

Objective: Homesickness among university students may impact their wellbeing and academic success. The study purpose was to examine homesickness and self-reported outcomes/university life events among students on a rural Appalachian campus. Methods: A descriptive study (N = 91) using electronic questionnaires was conducted. Results: Most participants (65%) reported homesickness, especially around move-in time, with several events making it better/worse; and were more likely to reside in-state, be at the sophomore level or above, and live in an apartment/dormitory. There were significant associations between homesickness and self-reported outcomes (anxiety, depression, wanting to drop out). Conclusions: Homesickness is prevalent among rural Appalachian students. Interprofessional collaboration to identify and mitigate effects on students’ wellbeing and academic success is key. Tailoring campus life, including food options and on-campus activities, to meet student needs may promote a sense of comfort and decrease homesickness. Educational intervention to improve homesickness among university students is warranted.

Acknowledgments

The authors thank Dr. Ubolrat Piamjariyakul for guidance throughout the study and Drs. Ubolrat Piamjariyakul and Saima Shafique for statistical support.

Author contributions

Katrina Roxas: IRB process, recruitment, participant consent, data collection, data export and cleaning, data analysis, data interpretation, and manuscript development.

April Shapiro: Principal investigator; study oversight, IRB process, recruitment, participant consent, data collection, data export and cleaning, data analysis, data interpretation, manuscript development, and manuscript submission.

Sheri Chisholm: Data interpretation and manuscript development.

Diana Niland: Data interpretation and manuscript development.

Michelle House: Data interpretation and manuscript development.

Conflict of interest disclosure

The authors have no conflicts of interest to report. The authors confirm that the research presented in this article met the ethical guidelines, including adherence to the legal requirements, of the United States and received approval from the West Virginia University Institutional Review Board.

Funding

No funding was used to support this research and/or the preparation of the manuscript.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 141.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.