Evidence map›Paper›PMID 37539275›Full record

ArticleHeliyon2023

Factors affecting female college students' intention to use digital technology in wearable devices to stimulate health monitoring.

Grace Donghee Shin, Wookyoung Jeong, Hye-Eun Lee

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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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

3 authors.

Grace Donghee ShinDepartment of Library and Information Science, Sookmyung Women's University, Seoul, South Korea.
Wookyoung JeongDepartment of Library and Information Science, Sookmyung Women's University, Seoul, South Korea.
Hye-Eun LeeDepartment of Library and Information Science, Sookmyung Women's University, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we measured female college students' mental health and physical activities to identify factors that affect their intention to use wearable health-monitoring devices. Specifically, the study derived correlations between female students' health-related quality of life (HRQoL) including, physical activity, stress level, attitudes toward eating, and self-esteem. Using this information, we ascertained the relationship between female college students' use of wearable devices and physical activity and examined the requirements for smartphone applications for healthcare. We collected data from 308 female college students in the Republic of Korea over four months starting in July 2021 using an anonymous online survey. We then analyzed the data using descriptive statistics and linear regression. The results showed that the factors that caused stress in female college students during the past six months were fatigue, COVID-19, grades, worries about getting a full-time job, menstruation, and being overweight. This paper found a negative correlation between stress and self-esteem and a positive correlation between physical activity and self-esteem. People with experience using wearable devices reported a higher intensity in physical activity. More than half the participants recorded biometric information for their menstrual cycles and menstrual cramps regardless of whether they were using wearable devices. Currently, healthcare applications can suggest diets and track nutritional intake, menstrual cycles, and amount of exercise, which users want simultaneously. Therefore, there is a market demand for a mobile application linked with a wearable device and tailored for female college students that could combine and manage all these data. In the future, application developers should consider the needs of female college students.

Indexed as

Digital healthDigital technologyFemale college studentsHealth monitoringPhysical activitySelf-esteemWearable devices

Identifiers

PMID37539275
PMCPMC10395341

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.