Trapped to Stay Connected: Fear of Missing Out (FoMO) and
Internet Use in Millennials
Rahayu Hardianti Utami
a
and Elrisfa Magistarina
b
Faculty of Psychology and Health, Universitas Negeri Padang, Padang, Indonesia
Keywords: Fear of Missing out, Compulsive Internet Use, The Millennials.
Abstract: The rapid development of internet usage has an impact on changing behavior patterns on its users. One of
them is related to the inability to use the internet proportionately. Compulsive Internet Use (CIU) is a
maladaptive internet use indicating the user's inability to control, too busy surfing the internet, and
experiencing conflicts when wanting to stop using the internet. Researchers assume that feelings of worry or
fear will be left behind or missed information from others, or fear of missing out (FoMO) may play a
significant role in using the internet. This study involved 300 millennials with convenience sampling
technique. The results of this study showed FoMO has a definite contribution to CIU. This study also showed
that daily internet use time has a significant effect on CIU, which means the desire to stay continually
connected with what others are doing makes people stayed online longer than originally intended.
Nonetheless, the results of this study suggest that developmental age groups do not affect internet use.
Understanding compulsive internet use requires acknowledging the purpose and context of internet use.
1
INTRODUCTION
Nowadays, the growth of information, communica-
tion, and technology in Indonesia has increased
rapidly year by year. The survey report of Penetration
and Internet User Behavior in 2018 by APJII
(Asosiasi Penyelenggara Jasa Internet Indonesia,
2018) states that internet penetration in Indonesia has
reached 64.8% of the total population, especially in
West Sumatra, reaching 84.2%. This data explicates
that the extension of internet users is advancing
quickly. Internet penetration is in line with the 4.0
industrial revolution. The current system is integrated
with computers, and the internet has spread to all
ages, levels of education, and socioeconomic status.
In current years, generations have been designated
by popular culture. One of the most contemporary is
millennial, which describes a generation born in
1980s and as children of the Baby Boomers (Burke et
al., 2015). Two main characteristics of the millennial
generation are ethnic diversity and their connection
with technology. Substantially, Millennial is also
known for using digital technology and social media
a
https://orcid.org/0000-0002-5054-4079
b
https://orcid.org/0000-0001-8540-8678
in almost all of the daily activities (Santrock, 2016).
The trademark of millennial characters is
acknowledged as 3C, namely Creative, Confident,
and Connected (Alvara Strategic Research, 2019).
Based data obtained by the APJII survey shows
that internet penetration is dominated by ages 13-18
years (75.50%) and 19-34 years (74.23%). In line
with the results of the Indonesia Millennial Report
2019 by IDN Research Institute (IDN Research
Institute, 2019) explains that the millennial
generation (people born in 1983-1998) is 98.2%
connected to the internet. Thus, the utilization of the
internet has penetrated throughout life's area.
The most accessed services are chat (89.35%) and
social media (87.13%). The extent of the already
using the internet can affect daily behavior patterns
caused by individuals' increasing needs for the
internet, especially the millennial generation.
The ease of communication with unlimited
internet service access makes internet users get many
benefits for various purposes, ranging from work,
education to social interaction. In addition to the
benefits gained from using the internet, the
development of information, communication, and
Utami, R. and Magistarina, E.
Trapped to Stay Connected: Fear of Missing out (FoMO) and Internet Use in Millennials.
DOI: 10.5220/0010808600003347
In Proceedings of the 2nd International Conference on Psychological Studies (ICPsyche 2021), pages 43-49
ISBN: 978-989-758-580-7
Copyright
c
2022 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
43
technology also brings several risks. Previous studies
conducted by Xiaokang, Song et al. explains that the
high dependence on the internet can harm work and
academic performance (Kirschner & Karpinski,
2010), everyday life (Karaiskos et al., 2010), and
other psychological conditions, such as psychological
wellbeing (Alabi, 2013). Evidence suggests that some
individuals may lose control over the use of the
Internet, and this negatively alters critical aspects of
their lives both in the short term (e.g., heightened
levels of stress at a task, diminished work-life
balance) and in the long term (e.g., social isolation,
depression, and anxiety)(Quiñones-garcía & Korak-
kakabadse, 2014).
One of the risks by using the internet superfluous
to their needs, called compulsive internet use (CIU).
CIU is described as an internet use pattern
characterized by loss of control, preoccupation,
conflict, withdrawal symptoms, and using the internet
as a coping mechanism (Meerkerk et al., 2009).
Prolonged time spent internet usage manifests the
significant dependency on the internet. Such
conditions are giving rise to a new phenomenon
called Fear of Missing Out (FoMO). FoMO is
described as a desire to be continuously linked to
what other individuals are doing and is primarily
linked to social media technology that offers an
endless opportunity to compare what other
individuals are doing. (Przybylski et al., 2013a).
FoMO is also defined as a persistent concern that
other people will have a more enjoyable experience
without the presence of the person concerned,
consisting of feelings of irritability, anxiety, and
inadequacy, which will worsen when the individual is
attached to social media sites (Gupta & Sharma,
2021).
Beside of the heightened internet use risks
highlighted, previous research on FoMO focused
more on problematic smartphone use or social media
use. A cross-sectional study by Lo Coco et al. (2020)
shows a positive correlation between FoMO and
Problematic Smartphone Use on two-time points of
data collection among adolescence. In another study,
FoMO is a significant factor that explains the use of
social media by adolescents and found that
adolescents' problematic social media use has
mediated the relationship between FoMO and
phubbing behavior (Van Rooij et al., 2018). These
findings predominantly highlight teenagers as
internet users.
The study's main aim is to determine the impact
of FoMO on CIU, particularly in the millennial
generation as native internet users. Second, as
previously stated, this study emphasized the
Millennials generation, identified in three distinct
generational diversity in internet-related variables in
this study. Moreover, according to a research study
conducted by Coskun & Karayagız Muslu, 2019, it
would be valuable to investigate the problem from the
Millennials' point of view regarding FoMO and
internet use.
2
METHOD
2.1 Participants and Procedure
This study was conducted on the millennial
generation of the internet user population—the
convenience sampling technique used to gather the
variables study data. The participants' inclusion
criteria are the internet users range from late
adolescent to middle adult who included the
millennial generation category (born 1981-1998) and
is internet users (connected to the internet with any
devices). Participants are unearthed in places where
millennials do many activities such as campuses,
government and private offices, teachers, and school
employees included in the age group.
This study recruited 300 internet users as
participants (115 males and 185 females). The
participants were asked to fill the paper-based and
internet-based Fear of Missing Out Scales (FoMOS),
Compulsive Internet Use Scales (CIUS), and
supplementary information as the data. Participants
who received both paper-based and internet-based
instruments were given informed consent beforehand
and committed to filling out the questionnaire in
earnest until the end.
2.2 Measure
Fear of Missing Out Scale (FoMOS)
The Indonesian version of FoMOS (Przybylski,
Murayama, DeHann, 2013), includes ten questions
regarding concerns that other people have more
pleasant experiences or a desire to stay connected
others are doing (Cronbach's alpha =.826).
Compulsive Internet Use Scale (CIUS)
The Indonesian version of CIUS includes six
subscales that describe internet usage patterns such as
loss of control, preoccupation, withdrawal symptoms,
coping/mood modification, conflict, and tolerance
(Meerkerk et al., 2009) (Cronbach's alpha = .932).
The scale consist of 14-items with 5 likert scale from
0 scale for “never” to 4 scale for “very often”.
ICPsyche 2021 - International Conference on Psychological Studies
44
Supplementary Data
In this study, the supplementary data including
developmental cohort, gender, the intensity of
internet use, activities carried on the internet, and
reasons for desiring to connect to the internet. For
data analysis, we used developmental cohort and
internet usage intensity as part of supplementary data.
We assume that there may be diverse calls for the
internet at varying stages of development of the
Millennials generation to prognosticate compulsive
internet use aside from FoMO.
2.3 Data Analysis
The administered instruments used in the study, the
Indonesia version of fear of missing out scale
(FoMOS) and the compulsive internet use scale
(CIUS), were inspected by using Cronbach's alpha
reliability coefficient. Hypothesis testing is
performed by using the ANCOVA (Analysis of
Covariance) test. ANCOVA testing involves the
FoMO variable, developmental cohort, and internet
usage intensity as the independent variable and CIU
as the dependent variable.
3
RESULT
The main aim of the present study is to investigate the
effect of FoMO on CIU. Further, we also examine
age-group categorization as we specify the millennial
generation as inclusion criteria and internet usage
intensity that might affect CIU. Table 1 describe
FoMO and CIU categorization by age group and
intensity of internet usage. In this study, the
millennial generation involved three age groups
(adolescent, early adult, and middle adult), and three
levels of internet usage intensity range from light user
to heavy user.
Based on the table, the adolescent group had a
higher FoMO average than the early and middle adult
groups. Likewise, the mean CIU of the adolescent age
group was also the highest among the early and
middle adult groups. Depending on the severity of the
internet's use, it can be seen that the average FoMO
and CIU of heavy users is higher than other users. The
table 1 also explicates that the lower the intensity of
internet use as indicated by the duration of use, the
lower the average FoMO and CIU measurement
results. The highest average score on FoMO and CIU
in adolescent mean that this age group experience
greater FoMO and tends to have more engagement on
the internet.
Table 1: Descriptive Statistics of the variable study.
Variables Categories Mean SD
FoMO Adolescent 16,15 7,663
Early Adult 11,54 7,664
Middle Adult 6,57 5,236
CIU Adolescent 45,99 11,336
Early Adult 40,41 13,087
Middle Adult 31,11 8,329
FoMO Light User 8,33 6,351
Medium User 11,50 8,738
Heavy User 14,14 7,639
CIU Light User 29,62 10,052
Medium User 37,76 11,716
Heavy User 44,87 12,156
Note : Light user (<2 hours/day): 7%; Medium users (2-4
hours/day): 29.30%; heavy users (>4hours/day): 63.67%
Figure 1: Activity of internet use.
Out of the ten activities, respondents have three
various peak activities while connected to the
internet. First, browsing or surfing the internet. As
many as 79% of respondents search for the
information it needs to connect to the internet.
Second, building friendships/relationships through
social media. Of the 300 respondents, 75.7% use
social media to connect with others. Furthermore, as
much as 61.7% of respondents use the internet to
download files/data. The respondents will need the
internet with various significant purposes from the
whole variety of Internet users' activities.
Trapped to Stay Connected: Fear of Missing out (FoMO) and Internet Use in Millennials
45
Figure 2: The reason for using the internet.
This chart describes the various reasons regarding
internet usage. As many as 90.7% of the 300
respondents stated that the internet provides easy
access to information. The second most common
reason as many 54.3% of respondents chose the ease
of getting new relations. The most significant
percentage of using the internet explained that
respondents felt tremendous benefits from using the
internet.
Table 2: Analysis of Covariance.
Dependent
Variable: CIU
F Sig.
Partial Eta
Square
FoMO 99.98 0.000 0.256
Developmenta l
cohor
t
2.833 0.060 0.019
Internet Usage
Intensit
y
7.714 0.000 0.051
FoMO*
Developmenta l
cohort
*Intensit
y
23.743 0.000 0.424
Developmenta l
cohort
*Intensit
y
0.880 0.476 0.012
Note: *p<.01
Hypothesis testing in this study was to test the
relationship of FoMO to CIU. In this study, the
variables of the developmental cohort and internet
usage intensity were also measured whether they
were associated with CIU. The result spired to
determine whether FoMO affected CIU. The
hypothesis testing results show that FoMO predict
CIU significantly. Additionally, FoMO,
developmental cohort, and internet usage intensity
unitedly affected CIU. Independently, FoMO and
internet usage intensity were significantly influenced
CIU, but not the developmental cohort.
4
DISCUSSION
The purpose of this study was to discover the
benefaction of FoMO to CIU among internet users.
Based on the research results, FoMO contributes
significantly to CIU. Engaging in any online
activity, especially social media, makes social
affordances encouraging, highlighting
opportunities and connecting people. This need
prompts the millennial generation to suffice their
psychological needs to attach with other people by
constantly connecting the internet, divine the
higher FoMO phenomenon in this age group
(Przybylski et al., 2013b). These findings align
with previous research that explains that FoMO
strongly correlates with the problematic
smartphone and social media use, which led to
excessively utilizing the internet (Casale et al.,
2018; Fang et al., 2020; Fabris et al., 2020).
FoMO is a feeling of deep anxiety that other
people will have enjoyable activities in their
absence (Przybylski, Murayama, DeHann, 2013)
In other words, FoMO is an individual's tendency
to feel anxiety because they feel 'left behind' from
interactions, events, or social relationships.
Przybylski et al. (2013a) proposed that FoMO can
also be deciphered as a form of negative emotion
that accompanies a decrease in longing for social
contact (Appel et al., 2019). This worry provokes a
person to continue to yearn to be connected to what
other people are doing. FoMO increases the desire
to use the internet or social media as a chance for
social interaction (Alt & Boniel-Nissim, 2018).
The study finding also explores the many
activities undertaken by the millennial generation
when connected to the internet. Browsing
predominated overall internet- related activity
reflected the Millennial's eagerness to find more
because of high curiosity about what happened
throughout their interest. According to a model of
the information search process, when someone
feels anxious about being left out, they tend to feel
uncertainty and seek clarity to satisfy their
insufficiency for information through browsing
(Rather & Ganaie, 2017). Browsing begins with
unintended or non-intentional searching, making
the user preoccupied and more engaged with the
information stimulation given from the internet.
Aside from FoMO, the internet usage intensity
variable also has a significant contribution to CIU.
Data regarding the activities that encourage the
ICPsyche 2021 - International Conference on Psychological Studies
46
enthusiasm carried out by respondents while
connected to the internet implied the enormous
gain from using the internet makes more than half
of the participants are heavy users. Being the
"always connected" generation, the feeling of
online exclusion makes adolescents, the young,
and middle adults failed to control the intention of
internet use and triggered to the extent online time
(Ryan & Deci, 2020). Millennials need to feel that
they are connected through Internet. They need to
share their experiences through this medium—a
platform for personalization and instant
gratification and also feeling satisfaction with
personal relationships: continuous understanding
of what others do. Some studies called the
avoidance of feeling disconnected due to
continuous responsiveness is compulsive.
Furthermore, the balance between the benefits
and the risk of using the internet compulsively
should be assessed as potential harm associated
with excessive internet use among Millennials as
the at-risk population (Yatan Pal Singh et al.,
2020). As previously investigated, FoMO triggers
social media fatigue, resulting in raised anxiety,
depression, sleep quality, which lower
psychological well- being and life satisfaction
(Dhir et al., 2018; Zhang et al., 2020; Tandon et al.,
2020). Nevertheless, there is a collided impact
regarding the result of this study. Online
interaction is regarded as a rewarding experience to
alleviate worry due to negative emotion induced by
FoMO that accompanies longing for social contact
(Freire & Santos, 2021). Moreover, FoMO may
initiate the Millennials' eagerness to acquire new
knowledge and skills while browsing.
This study also discovered that diverse
developmental age groups did not significantly
affect CIU. This result aligns with the study
conducted by Jorgenson et al., (2016) and Qutishat
(2020); adolescents, young adults, and even middle
adults have experienced increased internet overuse.
However, this result slightly contrary with the
study by Karadal & Abubakar (2021) and Butkovic
et al. (2020) regarding the differences satisfaction
of basic psychological needs especially need for
autonomy and relatedness between the
developmental cohort.
The variability of the participants' limits this
study. The participants are either college students
or workers with minimum high school graduates
may impact the result of the study to non-college
or workers internet users. As the implication of the
study is it would be propitious to consider
redefining and distinguish healthy users, engaging
users, and compulsive users of the internet in the
Millennials generation based on the purpose of
daily internet use and the requirement of given
tasks as students or workers so we can make better
judgement regarding the Millennials’ context on
internet use. Recognize the causal processes are
essential where the use of the Internet is ubiquitous
may indicate underlying psychosociaL
Predicaments.
5
CONCLUSIONS
This study proves that FoMO and time spent online
prognosticate CIU in the millennial generation. This
research implies that internet users of various
development age groups apprehend the reasons for
using the internet. Research's findings also explore
the millennials' decisions and reasons behind their
daily internet use, and behaviors which give the
insight to promote positive outcomes of internet use.
These reasons will be an initial recognition to
consider the essence of internet use and user
perceptions of the notion of excessive internet use.
ACKNOWLEDGEMENTS
We are very grateful to PNBP UNP for funding this
research.
REFERENCES
Alabi, O.F. (2013). A survey of Facebook addiction level
among selected Nigerian university undergraduates.
New Media & Mass Communication, 10, 70-80
Alt, D., & Boniel-Nissim, M. (2018). Links between
Adolescents’ Deep and Surface Learning Approaches,
Problematic Internet Use, and Fear of Missing Out
(FoMO). Internet Interventions, 13(May), 30–39.
https://doi.org/10.1016/j.invent.2018.05.00 2
Alvara Strategic Research. (2019). Behaviors and
Preferences of Indonesian Millennial Consumers on E-
Commerce Applications in 2019. Alvara Strategic
Research, July 9, 1–57. https://alvara-
strategic.com/wp- content/uploads/2019/07/PRESS-
CON- ENGLISH-E-COMMERCE-REPORT.pdf
Appel, M., Krisch, N., Stein, J., & Weber, S. (2019).
Smartphone zombies ! Pedestrians’ distracted walking
as a function of their fear of missing out. Journal of
Trapped to Stay Connected: Fear of Missing out (FoMO) and Internet Use in Millennials
47
Environmental Psychology, 63(September 2018), 130–
133. https://doi.org/10.1016/j.jenvp.2019.04.003
Asosiasi Penyelenggara Jasa Internet Indonesia. (2018).
Infografis Penetrasi & Perilaku Pengguna Internet
Indonesia. APJIII, 1(Hasil Survei Penetrasi dan
Perilaku Pengguna Internet Indonesia 2017), 1–39.
Burke, R. J., Cooper, C. L., & Antoniou, A. S. G. (2015).
The Multi-generational and Aging Workforce:
Challenges and Opportunities. The Multi-Generational
and Aging Workforce: Challenges and Opportunities,
November 2015, 1–432. https://doi.org/10.4337/
9781783476589
Butkovic, A., Tomas, J., Spanic, A. M., Vukasovic Hlupic,
T., & Bratko, D. (2020). Emerging Adults Versus
Middle-Aged Adults: Do they Differ in Psychological
Needs, Self-Esteem and Life Satisfaction. Journal of
Happiness Studies, 21(3), 779–798. https://doi.org/
10.1007/s10902-019-00106- w
Casale, S., Rugai, L., & Fioravanti, G. (2018). Exploring
the role of positive metacognitions in explaining the
association between the fear of missing out and social
media addiction. Addictive Behaviors, 85, 83–87.
https://doi.org/10.1016/j.addbeh.2018.05.02 0
Coskun, S., & Karayagız Muslu, G. (2019). Investigation of
Problematic Mobile Phones Use and Fear of Missing
Out (FoMO) Level in Adolescents. Community Mental
Health Journal, 55(6), 1004–1014.
https://doi.org/10.1007/s10597-019-00422- 8
Dhir, A., Yossatorn, Y., Kaur, P., & Chen, S. (2018). Online
social media fatigue and psychological wellbeing—A
study of compulsive use, fear of missing out, fatigue,
anxiety and depression. International Journal of
Information Management, 40(December 2017), 141–
152. https://doi.org/10.1016/j.ijinfomgt.2018.01. 012
Fabris, M. A., Marengo, D., Longobardi, C., & Settanni, M.
(2020). Investigating the links between fear of missing
out, social media addiction, and emotional symptoms in
adolescence: The role of stress associated with neglect
and negative reactions on social media. Addictive
Behaviors, 106(February), 106364. https://doi.org/
10.1016/j.addbeh.2020.1063 64
Fang, J., Wang, X., Wen, Z., & Zhou, J. (2020). Fear of
missing out and problematic social media use as
mediators between emotional support from social
media and phubbing behavior. Addictive Behaviors,
107(April), 106430. https://doi.org/10.1016/j.addbeh.
2020.1064 30
Freire, R. C., & Santos, V. A. (2021). Features shared
between fear of missing out on rewarding experiences
(FOMO) and internet gaming disorder. In Revista
brasileira de psiquiatria (Sao Paulo, Brazil: 1999)
(Vol. 43, Issue 2, pp. 129–130). NLM (Medline).
https://doi.org/10.1590/1516-4446-2020- 0019
Gupta, M., & Sharma, A. (2021). Fear of missing out: A
brief overview of origin, theoretical underpinnings and
relationship with mental health. World Journal of
Clinical Cases, 9(19), 4881–4889. https://doi.org/
10.12998/wjcc.v9.i19.4881
IDN Research Institute. (2019). Indonesia Millennial
Report 2019 Table of Content.
Jorgenson, A. G., Hsiao, R. C. J., & Yen, C. F. (2016).
Internet Addiction and Other Behavioral Addictions.
Child and Adolescent Psychiatric Clinics of North
America, 25(3), 509–520. https://doi.org/10.1016/
j.chc.2016.03.004
Karadal, H., & Abubakar, A. M. (2021). Internet of things
skills and needs satisfaction: do generational cohorts’
variations matter? Online Information Review.
https://doi.org/https://doi.org/10.1108/OIR- 04-2020-
0144
Karaiskos, D., Tzavellas, E., Balta, G., & Paparrigopoulos,
T. (2010). P02-232 -Social network addiction : a new
clinical disorder? European Psychiatry, 25, 855.
https://doi.org/10.1016/s0924- 9338(10)70846-4
Kirschner, P. A., & Karpinski, A. C. (2010). Facebook®
and academic performance. Computers in Human
Behavior, 26(6), 1237–1245. https://doi.org/10.1016/
j.chb.2010.03.024
Lo Coco, G., Salerno, L., Franchina, V., La Tona, A., Di
Blasi, M., & Giordano, C. (2020). Examining bi-
directionality between Fear of Missing Out and
problematic smartphone use. A two-wave panel study
among adolescents. Addictive Behaviors,
106(February), 106360. https://doi.org/10.1016/j.add
beh.2020.1063 60
Meerkerk, G.-J., Van Den Eijnden, R. J. J. M., Vermulst, A.
A., & Garretsen, H. F. L. (2009). The Compulsive
Internet Use Scale (CIUS): Some Psychometric
Properties. CyberPsychology & Behavior, 12(1), 1–6.
https://doi.org/10.1089/cpb.2008.0181
Przybylski, Murayama, DeHann, & G. (2013). Fear of
Missing Out Scale: FoMOs. 2013.
Przybylski, A. K., Murayama, K., Dehaan, C. R., &
Gladwell, V. (2013a). Motivational, emotional, and
behavioral correlates of fear of missing out. Computers
in Human Behavior, 29(4), 1841–1848.
https://doi.org/10.1016/j.chb.2013.02.014
Przybylski, A. K., Murayama, K., Dehaan, C. R., &
Gladwell, V. (2013b). Motivational, emotional, and
behavioral correlates of fear of missing out. Computers
in Human Behavior, 29(4), 1841–1848.
https://doi.org/10.1016/j.chb.2013.02.014
Quiñones-garcía, C., & Korak-kakabadse, N. (2014).
Compulsive internet use in adults : A study of
prevalence and drivers within the current economic
climate in the UK. Computers in Human Behavior, 30
,
171–180. https://doi.org/10.1016/j.chb.2013.08.004
Qutishat, M. G. M. (2020). Academic adjustment,
emotional intelligence, and fear of missing out among
undergraduate students: A descriptive correlational
study. Oman Medical Journal, 35(5), 1–7.
https://doi.org/10.5001/omj.2020.116
Rather, M. K., & Ganaie, S. A. (2017). Information Seeking
Models in the Digital Age. Encyclopedia of Information
Science and Technology, Fourth Edition, June 2017,
4515–4527. https://doi.org/10.4018/978-1-5225-2255-
3.ch392
Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic
motivation from a self-determination theory
perspective: Definitions, theory, practices, and future
ICPsyche 2021 - International Conference on Psychological Studies
48
directions. Contemporary Educational Psychology.
https://doi.org/10.1016/j.cedpsych.2020.101 860
Santrock, J. W. (2016). Adolescence sixteenth edition. Mc
Graw Hill Education.
Tandon, A., Kaur, P., Dhir, A., & Mäntymäki, M. (2020).
Sleepless due to social media? Investigating
problematic sleep due to social media and social media
sleep hygiene. Computers in Human Behavior,
113(July 2019). https://doi.org/10.1016/j.chb.2020.1
06487
Van Rooij, A. J., Lo Coco, G., De Marez, L., Franchina, V.,
& Abeele, M. Vanden. (2018). Fear of missing out as a
predictor of problematic social media use and phubbing
behavior among flemish adolescents. International
Journal of Environmental Research and Public Health,
15(10). https://doi.org/10.3390/ijerph15102319
Yatan Pal Singh, B., Singh, S., Doric, A., Stevanovic, D.,
Knez, R., Roy Chowdhury, M. R., Kafali, H. Y.,
Sharma, P., Vally, Z., Vi Vu, T., Arya, S., Mahendru,
A., Ransing, R., Erzin, G., & Le, H. L. T. C. H. (2020).
Can daily internet use time screen for problematic
internet use among college students? A receiver
operator characteristic curve-based multi-country
study. Neurology Psychiatry and Brain Research,
38(September), 43–48. https://doi.org/10.1016/j.npbr.
2020.09.002
Zhang, J., Cheng, M., & Yu, N. (2020). Internet Use and
Lower Life Satisfaction: The Mediating Effect of
Environmental Quality Perception. Ecological
Economics, 176(June 2019), 106725.
https://doi.org/10.1016/j.ecolecon.2020.106 725
Trapped to Stay Connected: Fear of Missing out (FoMO) and Internet Use in Millennials
49