• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Su, Wenliang (Su, Wenliang.) [1] (Scholars:苏文亮) | Han, Xiaoli (Han, Xiaoli.) [2] | Yu, Hanlu (Yu, Hanlu.) [3] | Wu, Yiling (Wu, Yiling.) [4] | Potenza, Marc N. (Potenza, Marc N..) [5]

Indexed by:

SSCI EI Scopus

Abstract:

Males have been proposed to be more vulnerable to internet addiction (IA) than females. However, males and females may differ with respect to specific patterns and types of internet usage and related IA. To investigate further, a meta-analysis was conducted to investigate gender-related differences in internet gaming disorder (IGD) and social media addiction (SMA). The current meta-analysis aimed to quantify gender-related effect sizes relating to IGD and SMA, examine potential moderating influences of regions and other possible confounds, and compare the findings with generalized IA at the country level. The meta-analysis comprised 53 effect sizes with 82,440 individuals from 21 countries/regions for IGD, and 41 effect sizes with 58,336 individuals from 22 countries/regions for SMA. A random-effects model confirmed important gender-specific distinctions as men were more likely to exhibit IGD than women (g = 0.479) and less likely to exhibit SMA than women (g = 0.202). Additional moderator analyses revealed that effect sizes of IGD and SMA were larger in Europe and the Americas than in Asia. Further analyses indicated that the effect sizes of gender-related differences in IGD and SMA at the country-level were significantly larger than those in generalized IA, which suggests that genderrelated differences in specific IAs may be underestimated in the "umbrella" of generalized IA. Results have implications for explaining why males and females may become addicted to internet use through different pathways.

Keyword:

Gender difference Internet addiction Internet gaming disorder Meta-analysis Problematic online gaming Social media addiction

Community:

  • [ 1 ] [Su, Wenliang]Fuzhou Univ, Sch Humanities & Social Sci, Dept Appl Psychol, Fuzhou 350108, Peoples R China
  • [ 2 ] [Han, Xiaoli]Fuzhou Univ, Sch Humanities & Social Sci, Dept Appl Psychol, Fuzhou 350108, Peoples R China
  • [ 3 ] [Yu, Hanlu]Fuzhou Univ, Sch Humanities & Social Sci, Dept Appl Psychol, Fuzhou 350108, Peoples R China
  • [ 4 ] [Wu, Yiling]Fuzhou Univ, Sch Humanities & Social Sci, Dept Appl Psychol, Fuzhou 350108, Peoples R China
  • [ 5 ] [Potenza, Marc N.]Yale Univ, Sch Med, Dept Psychiat, Child Study Ctr,Dept Neurosci, New Haven, CT USA
  • [ 6 ] [Potenza, Marc N.]Connecticut Mental Hlth Ctr, New Haven, CT USA
  • [ 7 ] [Potenza, Marc N.]Connecticut Council Problem Gambling, Wethersfield, CT USA

Reprint 's Address:

  • 苏文亮

    [Su, Wenliang]Fuzhou Univ, Sch Humanities & Social Sci, Dept Appl Psychol, Fuzhou 350108, Peoples R China;;[Potenza, Marc N.]Yale Univ, Sch Med, Dept Psychiat, New Haven, CT 06520 USA

Show more details

Related Keywords:

Source :

COMPUTERS IN HUMAN BEHAVIOR

ISSN: 0747-5632

Year: 2020

Volume: 113

6 . 8 2 9

JCR@2020

9 . 0 0 0

JCR@2023

ESI Discipline: PSYCHIATRY/PSYCHOLOGY;

ESI HC Threshold:125

JCR Journal Grade:1

Cited Count:

WoS CC Cited Count: 202

SCOPUS Cited Count: 234

ESI Highly Cited Papers on the List: 10 Unfold All

  • 2025-1
  • 2024-11
  • 2024-9
  • 2024-7
  • 2024-5
  • 2024-3
  • 2024-1
  • 2023-11
  • 2023-9
  • 2023-5

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

Online/Total:500/10914016
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1