Adaptation and validation of the Online-Fear of Missing Out Inventory into Turkish and the association with social media addiction, smartphone addiction, and life satisfaction

Bakioğlu, Fuad; Deniz, Metin; Griffiths, Mark D.; Pakpour, Amir H.

doi:10.1186/s40359-022-00856-y

Cited by 17 publications

(7 citation statements)

References 42 publications

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“…Individuals with high FoMO levels are more at risk for problem behaviors such as mobile phone addiction, 3 problematic social media, 4 and phubbing (snubbing a social partner by using the phone). 5 FoMO has also been related to internalized problems in individuals, such as disturbed sleep, 6 dissatisfaction with life, 7 diminished well-being, 8 anxiety, 9 and depression. 10 Therefore, understanding the psychological mechanisms that create FoMO has become a significant focus of researchers who are interested in digital health.…”

Section: Introductionmentioning

confidence: 99%

Differential Effects of Active Social Media Use on General Trait and Online-Specific State-FoMO: Moderating Effects of Passive Social Media Use

Mao¹,

Zhang²

2023

PRBM

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Given the prevalence of the fear of missing out (FoMO) phenomenon and the limitations regarding understanding the relationship between social media use and FoMO, this research examines the links that bind different types of social media usage to different aspects of FoMO. Methods: In the scope of this research, a structural equation modeling was developed to investigate the intricate connections that exist between active social media use (ASMU), passive social media use (PSMU), online-specific state-FoMO, and general trait-FoMO. Data were obtained from 394 Chinese university students (65% female) with experience in social media who completed the Active Social Media Use Scale, Passive Social Media Use Scale, and the Chinese Trait-State Fear of Missing Out Scale. Results: Bivariate correlations analysis revealed that ASMU was significantly related with state-FoMO but not significantly related with trait-FoMO. Structural equation modeling revealed that ASMU had a significant direct negative predictive effect on trait-FoMO while positive association with trait-FoMO through the indirect effect of State-FoMO, illustrating that ASMU had a suppressing effect on trait-FoMO via state-FoMO. PSMU significantly moderated the direct effect of ASMU on trait-FoMO, and the direct effect was only significant at low levels of PSMU. Conclusion:This study revealed whether and how social media use is linked to FoMO. Social media may not always increase FoMO, because positive, active social media interactions are conducive to the alleviation of trait-FoMO. However, it is significant to note that active interactions may also predict higher state-FoMO, so moderate social media use needs to be encouraged. In addition, a reduction in passive, non-communicative information browsing would be conducive to the alleviation of trait-FoMO by ASMU.

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Section: Introductionmentioning

confidence: 99%

Differential Effects of Active Social Media Use on General Trait and Online-Specific State-FoMO: Moderating Effects of Passive Social Media Use

Mao¹,

Zhang²

2023

PRBM

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“…(6) Social networks enable individuals to share information, documents, images, videos, and music in virtual worlds, disturbing their lives. (7) Among the most evident consequences of being "trapped" in social networks are forgetting one's identity, losing freedom, and being managed regarding likes, thoughts, and decisions. (8) A recent systematic review on using social networks in university students found that excessive use correlates with depression, anxiety, stress, Internet addiction, learning problems, sleep disorders, and FoMO.…”

Section: Introductionmentioning

confidence: 99%

“…(10) Therefore, people constantly worry about what others are doing online and feel unable to disconnect in case they miss something. (11) The above may generate young people to spend more time on social networks interacting and posting their activities as a central element of their life. (12,13) Thus, the fear of missing out on something important generates distress, (14,15) triggering individuals' need to stay connected, regardless of any cost or consequence.…”

Section: Introductionmentioning

confidence: 99%

“…(17) FoMO has been correlated with various health problems, such as sleep disorders, (18) depression, (19,20) psychological distress, (21,22) loneliness , (23,24) problematic use of social networks, (25,26,27) problematic use of smartphones, (28,29) self-esteem issues, (30) eating disorders, (31) and drinking issues, (32) among others. The psychometric properties of the FoMO scale have been studied and validated in populations from several countries, such as Turkey, (11,33) African Americans in the U.S.A., (34) China, (35,36) Indonesia, (37,38) Peru, (39) and Italy. (40) On the other hand, the degree of reliability from Cronbach's alpha has been reported in various degrees, such as 0,75, (41) 0,82, (42) 0,86, (43) and 0,90.…”

Section: Introductionmentioning

confidence: 99%

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Psychometric Properties and Measurement Invariance of The Fear of Missing Out Scale (FoMOs) In Chilean University Students

Martínez-Líbano

Vallejos

Campusano

et al. 2023

Salud, Ciencia y Tecnología

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Introduction: Social networks can harm university students' mental health; therefore, it is urgent to have valid instruments to measure new phenomena such as FoMO. Objective: This study aimed to examine the psychometric properties of the Fear of Missing Out Scale (FoMOs) in a sample of Chilean university students. Methods: Confirmatory factor analyses (CFA) were carried out and estimated using the Weighted Leasts Square Means and Variance (WLSMV). Results: The FoMOs evaluation had an internal consistency of 0.863 (Cronbach's Alpha). The con-firmatory factor analysis (CFA) showed two factors and good indicators: CFI = 0.991, TLI = 0.987, and an RMSEA of 0.054. Conclusion: The FoMOs is a good instrument for measuring the fear of missing out in the Chilean University population.

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“…2019, Olanrewaju et al, 2022Ahmed et al, 2021;Vohra, 2023; Drug Policy Australia, 2023; Inside Switzerland's Radical Drug Policy Innovation. 2023, Pinsky et al, 2017, Horigian et al, 2021, Mason et al, 2019Mason and Mennis, 2018;Wang et al, 2022;Mennis et al, 2021;Yangyuen et al, 2020;Goodhines et al, 2020; Marschall-Lévesque et al, 2020;Hards et al, 2022, Bhattacharjee et al, 2023Grant et al, 2010;Dam et al, 2023;Bakioğlu et al, 2022; Gupta et al, 2010, Busalim et al, 2019, Yoon et al, 2021Cheng et al, 2020, Cheng et al, 2022Tullett-Prado et al, 2023;Diep et al, 2021; Canadian Health Measures Survey, 2019; CDC, 2023;NIDA, 2023; SAMSHA, 2023;ADF 2023, PAHO, 2023EMCDDA, 2023;Naushad et al, 2022.…”

mentioning

confidence: 99%

Study of risk factors in adolescence in terms of demographic changes

Noshin,

F.,

Mehnaz

et al. 2023

J. Public Health Epidemiol.

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Adolescence is addressed as a life phase where the prospects for health are tremendous and future patterns of adult health are confirmed. Health in youth is the consequence of communications between prenatal and early childhood development and the precise biological, social-role, and demographical changes that accompany puberty, molded by social determinants, risk, and protective factors that affect the uptake of health-related attitudes. The model of adolescence is speedily changing; the average age of onset of adolescence is declining, and the age at which mature social roles are achieved is rising. In this work, several adolescent risk factors have been studied. Statistical data on the preference for drug consumption among adolescents was collected. Surveys were conducted, and data were gathered from ten different regions covering the world's entire demography. The health problems because of drug consumption and the consequences of drug abuse among adolescents were analyzed. The reasons for drug abuse and adolescents' age groups were statistically analyzed. A statistical report establishes the relationship among drug preference, health problems, and crime rates and demonstrates a way to reduce adolescent drug abuse and risk behavior. The report can demonstrate how demographic changes vary the risk factors, abnormal behaviors, and adolescent health problems. Details of the study will provide more information.

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Adaptation and validation of the Online-Fear of Missing Out Inventory into Turkish and the association with social media addiction, smartphone addiction, and life satisfaction

Cited by 17 publications

References 42 publications

Differential Effects of Active Social Media Use on General Trait and Online-Specific State-FoMO: Moderating Effects of Passive Social Media Use

Differential Effects of Active Social Media Use on General Trait and Online-Specific State-FoMO: Moderating Effects of Passive Social Media Use

Psychometric Properties and Measurement Invariance of The Fear of Missing Out Scale (FoMOs) In Chilean University Students

Study of risk factors in adolescence in terms of demographic changes

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