694
Views
4
CrossRef citations to date
0
Altmetric
Articles

Hassles predict physical health complaints in undergraduate students: a dynamic structural equation model analysis of daily diary data

, , , , , & show all
Pages 828-846 | Received 12 Dec 2019, Accepted 18 Jul 2020, Published online: 11 Aug 2020
 

Abstract

Objective

Daily hassles and physical health complaints are common among undergraduate students, and both are related to negative academic and psychosocial outcomes. However, the extent to which hassles or health complaints persist from day to day is underexplored, and studies examining whether hassles predict health complaints or vice versa, are lacking. This study aimed to examine the temporal stability and to define the temporal relationship between daily hassles and health symptoms in undergraduate students.

Design

Participants (n = 255, mean age = 19.2 years, 69% female, 53% White) completed 14 consecutive daily diaries of hassles and health complaints.

Main Outcome Measures

Daily reports of the Brief College Students Hassles Scale and the Patient Health Questionnaire-15.

Results

Hassles and health complaints demonstrated stability through autocorrelations. Hassles significantly predicted subsequent health complaints, but health complaints did not significantly predict subsequent hassles. However, the two paths did not differ significantly.

Conclusion

Students reporting elevations in one or both domains may benefit from interventions aimed at reducing daily hassles, in order to promote better perceived health and well-being.

Acknowledgement

We thank George Bate for assistance in compiling the model diagnostics.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the DePaul-Rosalind Franklin University of Medicine and Science Pilot Grant Program.

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 458.00 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.