Technology Addıctıon of Indıvıduals Enrolled in A Gym and Related Factors

Objective: This study will be conducted to determine the technology addiction and related factors of individuals enrolled in a gym. Method:This study was planned as a descriptive correlational study. The sample of the study consisted of 169 individuals actively attending a gym in Selçuklu district of Konya province. Personal information form and Technology Addiction Scale prepared by the researchers questioning socio-demographic characteristics were used to collect the data. The data of the study were evaluated using SPSS for Windows 22.0 (Statistical Package for Social Science) statistical package program. The results were evaluated at 95% confidence interval and p<0.05 significance level. Results: The mean age of the individuals was 26.98±8.23, 68% were male, 39.1% had postgraduate education, 86.4% were single, 40.2% had good income, 44.4% had good health, 52.1% did not have any chronic disease and 80.5% actively participated in sports. The mean technology addiction score of the students was 52.49±14.78. When the level of technology addiction was evaluated, it was determined that 46.7% were low level addicted, 38.5% were moderately addicted and 14.8% were highly addicted. Conclusion: As a result, it was determined that doing sports actively protects individuals from technology addiction. In terms of technology addiction, males, those with a high level of education, i.e., those with a master's degree, those who are married and those who perceive their health as good constituted the risk group.

Authors

Publication Details

Journal
Clinical Medical Reviews and Reports
Published
2024-09-20
DOI
https://doi.org/10.31579/2690-8794/222
Primary Topic
Gender and Technology in Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Technology Addıctıon of Indıvıduals Enrolled in A Gym and Related Factors

Neslihan LÖK
Clinical Medical Reviews and Reports
Gender and Technology in Education
article

Technology Addıctıon of Indıvıduals Enrolled in A Gym and Related Factors

Neslihan LÖK
article en

Abstract

Objective: This study will be conducted to determine the technology addiction and related factors of individuals enrolled in a gym. Method:This study was planned as a descriptive correlational study. The sample of the study consisted of 169 individuals actively attending a gym in Selçuklu district of Konya province. Personal information form and Technology Addiction Scale prepared by the researchers questioning socio-demographic characteristics were used to collect the data. The data of the study were evaluated using SPSS for Windows 22.0 (Statistical Package for Social Science) statistical package program. The results were evaluated at 95% confidence interval and p<0.05 significance level. Results: The mean age of the individuals was 26.98±8.23, 68% were male, 39.1% had postgraduate education, 86.4% were single, 40.2% had good income, 44.4% had good health, 52.1% did not have any chronic disease and 80.5% actively participated in sports. The mean technology addiction score of the students was 52.49±14.78. When the level of technology addiction was evaluated, it was determined that 46.7% were low level addicted, 38.5% were moderately addicted and 14.8% were highly addicted. Conclusion: As a result, it was determined that doing sports actively protects individuals from technology addiction. In terms of technology addiction, males, those with a high level of education, i.e., those with a master's degree, those who are married and those who perceive their health as good constituted the risk group.

Clinical Medical Reviews and ReportsVol. 6(6)
Openalex Percentile: Top 61%
Gender and Technology in Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.