Evidence map›Paper›PMID 38306175›Full record

ArticleJMIR formative research2024

Sleep Patterns of Premedical Undergraduate Students: Pilot Study and Protocol Evaluation.

Gargi Rajput, Andy Gao, Tzu-Chun Wu, Ching-Tzu Tsai, Jennifer Molano, Danny T Y Wu

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 30% of its field
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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 2 institutions in 1 country.

Gargi RajputDepartment of Biomedical Informatics, College of Medicine, University of Cincinnati, Cincinnati, OH, United States.ORCID https://orcid.org/0000-0002-3534-5258
Andy GaoDepartment of Biomedical Informatics, College of Medicine, University of Cincinnati, Cincinnati, OH, United States.ORCID https://orcid.org/0009-0007-5183-8881
Tzu-Chun WuDepartment of Biomedical Informatics, College of Medicine, University of Cincinnati, Cincinnati, OH, United States.ORCID https://orcid.org/0000-0001-8343-4872
Ching-Tzu TsaiDepartment of Biomedical Informatics, College of Medicine, University of Cincinnati, Cincinnati, OH, United States.ORCID https://orcid.org/0009-0007-1542-186X
Jennifer MolanoDepartment of Neurology and Rehabilitation Medicine, College of Medicine, University of Cincinnati, Cincinnati, OH, United States.ORCID https://orcid.org/0009-0005-0320-3502
Danny T Y WuDepartment of Biomedical Informatics, College of Medicine, University of Cincinnati, Cincinnati, OH, United States.ORCID https://orcid.org/0000-0002-7658-3754
University of Cincinnati · USUniversity of Cincinnati Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPoor sleep hygiene persists in college students today, despite its heavy implications on adolescent development and academic performance. Although sleep patterns in undergraduates have been broadly investigated, no study has exclusively assessed the sleep patterns of premedical undergraduate students. A gap also exists in the knowledge of how students perceive their sleep patterns compared to their actual sleep patterns.

objectiveThis study aims to address 2 research questions: What are the sleep patterns of premedical undergraduate students? Would the proposed study protocol be feasible to examine the perception of sleep quality and promote sleep behavioral changes in premedical undergraduate students?

methodsAn anonymous survey was conducted with premedical students in the Medical Science Baccalaureate program at an R1: doctoral university in the Midwest United States to investigate their sleep habits and understand their demographics. The survey consisted of both Pittsburg Sleep Quality Index (PSQI) questionnaire items (1-9) and participant demographic questions. To examine the proposed protocol feasibility, we recruited 5 students from the survey pool for addressing the perception of sleep quality and changes. These participants followed a 2-week protocol wearing Fitbit Inspire 2 watches and underwent preassessments, midassessments, and postassessments. Participants completed daily reflections and semistructured interviews along with PSQI questionnaires during assessments.

resultsAccording to 103 survey responses, premedical students slept an average of 7.1 hours per night. Only a quarter (26/103) of the participants experienced good sleep quality (PSQI<5), although there was no significant difference (P=.11) in the proportions of good (PSQI<5) versus poor sleepers (PSQI≥5) across cohorts. When students perceived no problem at all in their sleep quality, 50% (14/28) of them actually had poor sleep quality. Among the larger proportion of students who perceived sleep quality as only a slight problem, 26% (11/43) of them presented poor sleep quality. High stress levels were associated with poor sleep quality. This study reveals Fitbit as a beneficial tool in raising sleep awareness. Participants highlighted Fitbit elements that aid in comprehension such as being able to visualize their sleep stage breakdown and receive an overview of their sleep pattern by simply looking at their Fitbit sleep scores. In terms of protocol evaluation, participants believed that assessments were conducted within the expected duration, and they did not have a strong opinion about the frequency of survey administration. However, Fitbit was found to provide notable variation daily, leading to missing data. Moreover, the Fitbit app's feature description was vague and could lead to confusion.

conclusionsPoor sleep quality experienced by unaware premedical students points to a need for raising sleep awareness and developing effective interventions. Future work should refine our study protocol based on lessons learned and health behavior theories and use Fitbit as an informatics solution to promote healthy sleep behaviors.

Indexed as

adolescencebehavior changecollegesFitbit wearableshigher educationmedical studentpatient-generated health datapostsecondarypremedical college studentssleepsleep hygienesleep patternsleep qualitystudentsurveyuniversity

Identifiers

PMID38306175
PMCPMC10873796
OpenAlexW4389785936

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.