Is there a relationship between social media user intensity and mental well-being? An exploratory study

Ji Yuan(1),


(1) Psychological counseling center, Xinghai Conservatory of Music, GuangDong 510006,China
Corresponding Author

Abstract


Social media addiction has become a subject of concern, with significant consequences for mental well-being. This study assesses the relationship between abnormal social media usage and mental health outcomes like stress, anxiety, and depression. This study employed graphs to visually analyze the correlation between levels of user intensity and mental health indicators. The graphical representations reveal a strong connectivity between increased social media engagement and heightened mental health challenges. The findings underscore the need for targeted policies to enhance balanced social media usage to ameliorate its disastrous influences on mental well-being. This study provides invaluable insights for policymakers, mental health professionals, and educators in addressing the mental health risks connected with over-use of social media

References


Kemp S. It's a Mean, Mean World: Social Media and Mean

World

Syndrome,

https://doi.org/10.15760/honors.1333

Bekalu MA, McCloud RF and Viswanath K. Association of

social media use with social well-being, positive

mental health, and self-rated health: disentangling

routine use from emotional connection to use. Health

Education & Behavior. 2019, 46(2_suppl):69S-80S.

https://doi.org/10.1177/1090198119863768

Naslund JA, Aschbrenner KA, McHugo GJ, Unützer J,

Marsch LA and Bartels SJ. Exploring opportunities

to support mental health care using social media: A

survey of social media users with mental illness.

Early intervention in psychiatry. 2019, 13(3):405-13.

https://doi.org/10.1111/eip.12496

Kross E, Verduyn P, Sheppes G, Costello CK, Jonides J and

Ybarra O. Social media and well-being: Pitfalls,

progress, and next steps. Trends in cognitive

sciences.

,

(1):55-66.

https://doi.org/10.1016/j.tics.2020.10.005

Vogel EA, Rose JP, Roberts LR and Eckles K. Social

comparison, social media, and self-esteem.

Psychology of popular media culture. 2014,

(4):206. https://psycnet.apa.org/buy/2014-33471

Jakovljevic M, Liu Y, Cerda A, Simonyan M, Correia T,

Mariita RM, Kumara AS, Garcia L, Krstic K,

Osabohien R and Toan TK. The Global South

political economy of health financing and spending

landscape–history and presence. Journal of medical

economics.

;24(sup1):25-33.

https://doi.org/10.1080/13696998.2021.2007691

Hou Y, Xiong D, Jiang T, Song L and Wang Q. Social media

addiction: Its impact, mediation, and intervention.

Cyberpsychology: Journal of psychosocial research

on

cyberspace.

;13(1).

https://doi.org/10.5817/CP2019-1-4

Viner RM, Gireesh A, Stiglic N, Hudson LD, Goddings AL,

Ward JL and Nicholls DE, 2019. Roles of

cyberbullying, sleep, and physical activity in

mediating the effects of social media use on mental

health and wellbeing among young people in

England: a secondary analysis of longitudinal

data. The Lancet Child & Adolescent Health, 3(10),

pp.685-696.

https://doi.org/10.1016/S2352

(19)30186-5

Verduyn P, Ybarra O, Résibois M, Jonides J and Kross E. Do

social network sites enhance or undermine subjective

well‐being? A critical review. Social Issues and

Policy

Review.

;11(1):274-302.

https://doi.org/10.1111/sipr.12033

Twenge JM and Campbell WK. Media use is linked to lower

psychological well-being: Evidence from three

datasets. Psychiatric Quarterly. 2019; 90:311-3.

https://doi.org/10.1007/s11126-019-09630-7

Andreassen CS. Online social network site addiction: A

comprehensive review. Current addiction reports.

Jun;2(2):175-84.

https://doi.org/10.1007/s40429-015-0056-9

Azuh DE, Osabohien R, Orbih M and Godwin A. Public

health expenditure and under-five mortality in

Nigeria: An overview for policy intervention. Open

Access Macedonian Journal of Medical Sciences.

;8(E):353-62.

Feng Y, Ahuru RR, Anser MK, Osabohien R, Ahmad M and

Efegber

AH.

Household economic wealth

management and antenatal care utilization among

business women in the reproductive-age. African

Journal of Reproductive Health. 2021;25(6):143-54.

O’reilly M, Dogra N, Whiteman N, Hughes J, Eruyar S and

Reilly P. Is social media bad for mental health and

wellbeing?

Exploring

adolescents.

psychiatry.

Clinical

the

child

perspectives

of

psychology and

;23(4):601-13.

https://doi.org/10.1177/13591045187751

Nasir MH, Anser MK, Ahuru RR, Osabohien R, Ebiaku KC

and Abbas S. A comparative study of the effect of

health insurance on women’s use of health facility

delivery: Evidence from demographic health survey

in Benin Republic. African Journal of Reproductive

Health. 2022;26(6):104-15.

Sui Y, Ahuru RR, Huang K, Anser MK and Osabohien R.

Household socioeconomic status and antenatal care

utilization among women in the reproductive-age.

Frontiers

in

public

health.

;9:724337.

https://doi.org/10.3389/fpubh.2021.724337

Ophir Y, Lipshits-Braziler Y and Rosenberg H. New-media

screen time is not (necessarily) linked to depression:

Comments on Twenge, Joiner, Rogers, and Martin

(2018). Clinical Psychological Science. 2020

Mar;8(2):374-8.

https://doi.org/10.1177/2167702619849

Osabohien R, Jaaffar AH, Akpa AF and Jakovljevic, M.

(2024). Mobile money, medical cost anxiety and

welfare of individuals within the reproductive age in

Malaysia. Humanities and Social Sciences

Communications. https://doi.org/10.1057/s41599

-02767-2

Sui Y, Ahuru RR, Huang K, Anser MK and Osabohien R.

Household socioeconomic status and antenatal care

utilization among women in the reproductive-age.

Frontiers in public health. 2022;9:724337.

https://doi.org/10.3389/fpubh.2021.724337

Xu Y, Peng MYP, Ahuru RR, Anser MK, Osabohien R and

Aziz A. (2022). Individual and community-level

factors associated with non-institutional delivery of

women of childbearing-age in Nigeria. Humanities

and Social Sciences Communications, 9(1), 1-7. I

https://doi.org/10.1057/s41599-022-01168-7

Our World in Data. (2024). Mental health and social media

usage

dataset.

Retrieved

from

https://ourworldindata.org/mental-health

Statista. Social media addiction and usage statistics, 2023.

Retrieved from https://www.statista.com/social

media-addiction

Wellcome Global Monitor: Mental health, 2020. Retrieved

from https://wellcome.org/reports/wellcome-global

monitor-mental-health/2020

Perrin A and Anderson M. Share of US adults using social

media, including Facebook, is mostly unchanged

since

https://policycommons.net/artifacts/616832/share

of-us/1597525/

Hayes D. Social media and mental health. Children and

Young

People

Now.

;2018(11):16.

https://doi.org/10.12968/cypn.2018.11.16

Montag C, Błaszkiewicz K, Sariyska R, Lachmann B,

Andone I, Trendafilov B, Eibes M and Markowetz A.

Smartphone usage in the 21st century: who is active

on WhatsApp?. BMC research notes. 2015;8:1-6.

https://doi.org/10.1186/s13104-015-1280-z

Sheldon P and Bryant K. Instagram: Motives for its use and

relationship to narcissism and contextual age.

Computers in human Behavior. 2016; 58:89-97.

https://doi.org/10.1016/j.chb.2015.12.059

Zhang L and Pentina I. Motivations and usage patterns of

Weibo. Cyberpsychology, Behavior, and Social

Networking.

,

(6):312-7.

https://doi.org/10.1089/cyber.2011.06

Omar B and Dequan W. Watch, share or create: The

influence of personality traits and user motivation on

TikTok

mobile

video

usage.

https://www.learntechlib.org/p/216454/

Madianou M and Miller D. Migration and new media:

Transnational families and polymedia. Routledge;

https://doi.org/10.4324/9780203154236

Kuss DJ and Griffiths MD. Social networking sites and

addiction: Ten lessons learned. International journal

of environmental research and public health. 2017

Mar;14(3):311.

https://doi.org/10.3390/ijerph14030311

Huang C. Time spent on social network sites and

psychological

well-being:

A meta-analysis.

Cyberpsychology, Behavior, and Social Networking.

;20(6):346-54.

https://doi.org/10.1089/cyber.2016.0758

Przybylski AK, Murayama K, DeHaan CR and Gladwell V.

Motivational, emotional, and behavioral correlates of

fear of missing out. Computers in human behavior.

Jul

;29(4):1841-8.

https://doi.org/10.1016/j.chb.2013.02.014

Clark JL, Algoe SB and Green MC. Social network sites and

well-being: The role of social connection. Current

Directions in Psychological Science. 2018, 27(1):32-7.

https://doi.org/10.1177/096372141773083

Anderson M and Jiang J. Teens, Social Media &

Technology 2018. Pew Research Center report.

https://apo.org.au/node/175701

Global Web Index. Make social media listening a

stronghold of your communications blueprint. 2018

La VP, Pham TH, Ho MT, Nguyen MH, P. Nguyen KL,

Vuong TT, Nguyen HK, Tran T, Khuc Q, Ho MT and

Vuong QH. Policy response, social media and

science journalism for the sustainability of the public

health system amid the COVID-19 outbreak: the

Vietnam lessons. Sustainability. 2020;12(7):2931.

https://doi.org/10.3390/su12072931

Nabity-Grover T, Cheung CM and Thatcher JB. How

COVID-19 stole Christmas: How the pandemic

shifted the calculus around social media Self

Disclosures.

Journal

;154:113310.

of Business Research.

https://doi.org/10.1016/j.jbusres.2022.113310

Lowry M, Trivedi N, Boyd P, Julian A, Treviño M, Lama

Y, Heley K and Perna F. Making decisions about

health information on social media: a mouse-tracking

study.

Cognitive

Implications.

Research:

Principles

and

;7(1):68.

https://doi.org/10.1186/s41235-022-00414-5

Twenge JM and Martin GN. Gender differences in

associations between digital media use and

psychological well-being: Evidence from three large

datasets. Journal of adolescence. 2020 Feb 1;79:91

https://doi.org/10.1016/j.adolescence.2019.12.018

Buda G, Lukoševičiūtė J, Šalčiūnaitė L and Šmigelskas K.

Possible effects of social media use on adolescent

health behaviors and perceptions. Psychological

reports.

,

(3):1031-48.

https://doi.org/10.1177/003329412092

Thelwall M. Social media analytics for YouTube

comments: Potential and limitations. International

Journal of Social Research Methodology. 2018 May

;21(3):303-16.

https://doi.org/10.1080/13645579.2017.1381821

Brandtzæg PB. Social networking sites: Their users and

social implications—A longitudinal study. Journal of

computer-mediated

communication.

;17(4):467-88. https://doi.org/10.1111/j.1083

2012.01580.x

Leist AK. Social media use of older adults: a mini-review.

Gerontology.

;59(4):378-84.

https://doi.org/10.1159/000346818

Kross E, Verduyn P, Sheppes G, Costello CK, Jonides J and

Ybarra O. Social media and well-being: Pitfalls,

progress, and next steps. Trends in cognitive

sciences. 2021;25(1):55-66

Wu L, Liu P, Zhao Y, Wang P and Zhang Y. Human

cognition-based consistency inference networks for

multi-modal fake news detection. IEEE

Transactions on Knowledge and Data Engineering.

;36(1):211-25.

https://doi.org/10.1109/TKDE.2023.3280555

Wu L, Long Y, Gao C, Wang Z and Zhang Y. MFIR:

Multimodal fusion and inconsistency reasoning for

explainable fake news detection. Information Fusion.

; 100:101944. https://doi.org/10.1016/j.inffus.2023.101944

Hao S, Jiali P, Xiaomin Z, Xiaoqin W, Lina L, Xin Q and

Qin L, 2023. Group identity modulates bidding

behavior in repeated lottery contest: neural

signatures from event-related potentials and

electroencephalography oscillations. Frontiers in

Neuroscience, 2023;17:1184601.

https://doi.org/10.3389/fnins.2023.1184601

Hao S, Xin Q, Xiaomin Z, Jiali P, Xiaoqin W, Rong Y and

Cenlin Z. Group membership modulates the hold-up

problem: an event-related potentials and oscillations

study. Social Cognitive and Affective Neuroscience.

;18(1). https://doi.org/10.1093/scan/nsad071

Bao C, Hu X, Zhang D and Lv Z, Chen J. Predicting moral

elevation conveyed in danmaku comments using

EEGs. Cyborg and Bionic Systems. 2023; 4: 0028.

https://doi.org/10.34133/cbsystems.0028

Qiao G, Hou S, Chen Q, Xiang G and Prideaux B. Role of

body in travel: Wheelchair users’ experience from a

multi-sensory perspective. Journal of Travel

Research. 2024.

https://doi.org/10.1177/00472875241249391

Pan Y and Xu J. Human-machine plan conflict and conflict

resolution in a visual search task. International

Journal of Human-Computer Studies. 2025; 193:

https://doi.org/10.1016/j.ijhcs.2024.103377

Li J, Huang C, Yang Y, Liu J, Lin X and Pan J. How nursing

students’ risk perception affected their professional

commitment during the COVID-19 pandemic: the

mediating effects of negative emotions and

moderating effects of psychological capital.

Humanities and Social Sciences Communications.

;10(1):195.. https://doi.org/10.1057/s41599

-01719-6


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