Flow experience, stress and mindfulness as predictors of internet addiction among university students in Malaysia

Internet addiction (IA) is identified as technological addiction of frequent Internet use in conjunction with behavioural responses linked to co-morbid disorders. Internet addiction is also referred to as Problematic Internet Use (PIU), computer addiction, Internet dependency compulsive Internet use...

Full description

Bibliographic Details
Main Authors: Avinaash, Thiruselvam, Lim, Shu Jing
Format: Final Year Project / Dissertation / Thesis
Published: 2022
Subjects:
Online Access:http://eprints.utar.edu.my/4537/
http://eprints.utar.edu.my/4537/1/FYP_PY_AT_2022.pdf
_version_ 1848886177571012608
author Avinaash, Thiruselvam
Lim, Shu Jing
author_facet Avinaash, Thiruselvam
Lim, Shu Jing
author_sort Avinaash, Thiruselvam
building UTAR Institutional Repository
collection Online Access
description Internet addiction (IA) is identified as technological addiction of frequent Internet use in conjunction with behavioural responses linked to co-morbid disorders. Internet addiction is also referred to as Problematic Internet Use (PIU), computer addiction, Internet dependency compulsive Internet use and pathological Internet use. However, there are limited studies on the predictive effects of (a) flow experience; (b) stress; (c) mindfulness on Internet addiction among university students in Malaysia. Therefore, the current study aimed to investigate the predictive effects of (a) flow experience; (b) stress; (c) mindfulness on Internet addiction among university students in Malaysia. There were 182 target participants who were recruited to participate in the cross-sectional study through the online survey method that utilised purposive sampling. Though, only 122 of the responses received was used for data analysis. The selected participants had specific criteria to be fulfilled which were (a) Malaysian university students; (b) participants that who have provided consent that also fall under the first criteria. The results yielded shows that only mindfulness as a negative predictor to Internet addiction as the significant hypothesis, while flow experience and stress were non-significant predictors to Internet addiction. In conclusion, the finding from this study has provided understanding in the predictive factors of Internet addiction among university students in the Malaysian context to develop deeper understanding on the topic which is vital in helping to develop intervention programmes.
first_indexed 2025-11-15T19:34:21Z
format Final Year Project / Dissertation / Thesis
id utar-4537
institution Universiti Tunku Abdul Rahman
institution_category Local University
last_indexed 2025-11-15T19:34:21Z
publishDate 2022
recordtype eprints
repository_type Digital Repository
spelling utar-45372022-09-14T12:23:24Z Flow experience, stress and mindfulness as predictors of internet addiction among university students in Malaysia Avinaash, Thiruselvam Lim, Shu Jing BF Psychology H Social Sciences (General) HT Communities. Classes. Races T Technology (General) Internet addiction (IA) is identified as technological addiction of frequent Internet use in conjunction with behavioural responses linked to co-morbid disorders. Internet addiction is also referred to as Problematic Internet Use (PIU), computer addiction, Internet dependency compulsive Internet use and pathological Internet use. However, there are limited studies on the predictive effects of (a) flow experience; (b) stress; (c) mindfulness on Internet addiction among university students in Malaysia. Therefore, the current study aimed to investigate the predictive effects of (a) flow experience; (b) stress; (c) mindfulness on Internet addiction among university students in Malaysia. There were 182 target participants who were recruited to participate in the cross-sectional study through the online survey method that utilised purposive sampling. Though, only 122 of the responses received was used for data analysis. The selected participants had specific criteria to be fulfilled which were (a) Malaysian university students; (b) participants that who have provided consent that also fall under the first criteria. The results yielded shows that only mindfulness as a negative predictor to Internet addiction as the significant hypothesis, while flow experience and stress were non-significant predictors to Internet addiction. In conclusion, the finding from this study has provided understanding in the predictive factors of Internet addiction among university students in the Malaysian context to develop deeper understanding on the topic which is vital in helping to develop intervention programmes. 2022-04-04 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/4537/1/FYP_PY_AT_2022.pdf Avinaash, Thiruselvam and Lim, Shu Jing (2022) Flow experience, stress and mindfulness as predictors of internet addiction among university students in Malaysia. Final Year Project, UTAR. http://eprints.utar.edu.my/4537/
spellingShingle BF Psychology
H Social Sciences (General)
HT Communities. Classes. Races
T Technology (General)
Avinaash, Thiruselvam
Lim, Shu Jing
Flow experience, stress and mindfulness as predictors of internet addiction among university students in Malaysia
title Flow experience, stress and mindfulness as predictors of internet addiction among university students in Malaysia
title_full Flow experience, stress and mindfulness as predictors of internet addiction among university students in Malaysia
title_fullStr Flow experience, stress and mindfulness as predictors of internet addiction among university students in Malaysia
title_full_unstemmed Flow experience, stress and mindfulness as predictors of internet addiction among university students in Malaysia
title_short Flow experience, stress and mindfulness as predictors of internet addiction among university students in Malaysia
title_sort flow experience, stress and mindfulness as predictors of internet addiction among university students in malaysia
topic BF Psychology
H Social Sciences (General)
HT Communities. Classes. Races
T Technology (General)
url http://eprints.utar.edu.my/4537/
http://eprints.utar.edu.my/4537/1/FYP_PY_AT_2022.pdf