Predicting Facebook addiction and state anxiety without Facebook by gender, trait anxiety, Facebook intensity, and different Facebook activities

Predicting Facebook addiction and state anxiety without Facebook by gender, trait anxiety, Facebook intensity, and different Facebook activities

Background and aims. Although social networking sites brought giant convenience, many negative effects on users’ psychological well-being need more investigation. This study used a survey to examine Facebook addiction and state anxiety without Facebook. As research shows gender is related to trait a...

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Bibliographic Details
Published in:Journal of behavioral addictions 2019-03, Vol.8 (1), p.79-87
Main Authors: Xie, Wenjing, Karan, Kavita
Format: Article
Language:eng
Subjects:
Addiction
Adolescent anxiety
Adult
Anxiety - epidemiology
Behavior, Addictive - epidemiology
Behaviorism
College students
Comparative analysis
Email
Female
Full-Length Report
Humans
Internet addiction
Male
Online social networks
Psychological aspects
Risk factors
Sex differences (Psychology)
Sex Factors
Social Media
Social Networking
Social networks
Students - statistics & numerical data
United States - epidemiology
Universities
Young Adult
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Summary:Background and aims. Although social networking sites brought giant convenience, many negative effects on users’ psychological well-being need more investigation. This study used a survey to examine Facebook addiction and state anxiety without Facebook. As research shows gender is related to trait anxiety and may interact with trait anxiety to influence state anxiety, we also assess the interaction effect between gender and trait anxiety. Methods. A total of 526 college students in the US participated in the survey. A systematic sampling method was used and an e-mail invitation with the link of the survey was sent to every third student on the students’ e-mail list. Study measures included demographics, trait anxiety, Facebook intensity, different Facebook activities, Facebook addiction, and state anxiety without Facebook. Hierarchical multiple regression was run to test how trait anxiety, gender, Facebook intensity, and different types of Facebook activities predict Facebook addiction and state anxiety. Results. Facebook use intensity predicts Facebook addiction (β = 0.573, p
ISSN:2062-5871
2063-5303