The Effects of Smartphone Addiction on Physical Activity, Fatigue and Sleep Quality of University Students

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT05858866

Enrollment

322

Registered

2023-05-15

Start date

2020-02-04

Completion date

2021-08-12

Last updated

2023-05-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Addictive Behavior

Brief summary

The increasing rate of usage of smartphones ushers in various health problems and smartphone addiction. In the literature, the research focused mainly on the relationship between smartphone addiction and depression, anxiety and musculoskeletal system problems; however, the number of studies on fatigue was limited. We believe that this paper will be of interest to the readers of your journal because it adds information about the effect of smartphone addiction on physical activity, on sleep quality and especially on fatigue.

Detailed description

This cross-sectional study was conducted with the participation of 322 students attending the Faculty of Health Sciences at Süleyman Demirel University. The participants were given the socio-demographic characteristics form, developed by the researchers according to the literature review. They were also given the evaluation form, which surveys some variables related to smartphones, as well as the short version of the Smartphone Addiction Scale Short Version (SAS-SV), the International Physical Activity Questionnaire-Short Form (IPAQ-SF), the Pittsburgh Sleep Quality Index (PSQI), and the Piper Fatigue Scale (PFS).

Interventions

OTHERPiper Fatigue Scale

The Piper Fatigue Scale (PFS) was developed by Piper et al. to measure fatigue in a multi-dimensional manner. The scale assesses the behavioural, affective, sensory and cognitive/mood attributes of fatigue and contains 22 items and 5 open-ended questions. Each item is scored between 0 and 10 using a Visual Analogue Scale. Sub-scale scores are obtained by dividing the scores from the sub-scale items by the number of the items in the sub-scale. The same method is used to calculate the total score

Study design

Observational model

OTHER

Time perspective

CROSS_SECTIONAL

Eligibility

Sex/Gender

ALL

Age

18 Years to 30 Years

Inclusion criteria

* The students who volunteered to participate in the study after being informed about the aims and procedures of the study.

Exclusion criteria

* The students who didnot volunteered to participate in the study after being informed about the aims and procedures of the study.

Design outcomes

Primary

Measure	Time frame
Short Version of the Smartphone Addiction Scale Short Version	02.01.2021

Countries

Turkey (Türkiye)

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026