The association between problematic short video use and suicidal ideation and self-injurious behaviors: the mediating roles of sleep disturbance and depression.
Depression
Mediation mechanisms
Problematic short video use
Sleep disturbance
Suicide risk
Journal
BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562
Informations de publication
Date de publication:
25 Jun 2024
25 Jun 2024
Historique:
received:
12
12
2023
accepted:
18
06
2024
medline:
25
6
2024
pubmed:
25
6
2024
entrez:
24
6
2024
Statut:
epublish
Résumé
Prior work suggests that problematic short video use was associated with adverse psychological, physiological, and educational outcomes. With the prevailing of short video platforms, the potential relationships between this problematic behavior and suicidal ideation and self-injurious behaviors have yet to be thoroughly examined. Besides, considering the potential dual nature of problematic short video use, particularly its positive aspects, a potential mechanism may exist linking such problematic behavior to SI and SIBs, ultimately driving individuals towards extreme outcomes. Nevertheless, such mediation paths have not been rigorously examined. Thus, the current study aimed to investigate their relationships and delve into the underlying mechanism, specifically identifying potential mediators between sleep disturbance and depression. A quantitative cross-sectional study design was employed to model data derived from a large sample of first- and second-year university students residing in mainland China (N = 1,099; Mage = 19.80 years; 51.7% male). Results showed that problematic short video use has a dual impact on SI and SIBs. On the one hand, problematic short video use was directly related to the decreased risk of suicidal ideation, attempts, and NSSI. On the other hand, such problematic behavior was indirectly associated with the increased risk of NSSI through sleep disturbance, and it indirectly related to the elevated risk of suicidal ideation, attempts, and NSSI through depression. Besides, on the whole, problematic short video use was positively associated with NSSI but not suicidal ideation and attempts. These findings indicated that problematic short video use had a dual impact on SI and SIBs. Consequently, it is paramount to comprehend the genuine magnitude of the influence that such problematic behavior holds over these intricate psychological conditions.
Sections du résumé
BACKGROUND
BACKGROUND
Prior work suggests that problematic short video use was associated with adverse psychological, physiological, and educational outcomes. With the prevailing of short video platforms, the potential relationships between this problematic behavior and suicidal ideation and self-injurious behaviors have yet to be thoroughly examined. Besides, considering the potential dual nature of problematic short video use, particularly its positive aspects, a potential mechanism may exist linking such problematic behavior to SI and SIBs, ultimately driving individuals towards extreme outcomes. Nevertheless, such mediation paths have not been rigorously examined. Thus, the current study aimed to investigate their relationships and delve into the underlying mechanism, specifically identifying potential mediators between sleep disturbance and depression.
METHODS
METHODS
A quantitative cross-sectional study design was employed to model data derived from a large sample of first- and second-year university students residing in mainland China (N = 1,099; Mage = 19.80 years; 51.7% male).
RESULTS
RESULTS
Results showed that problematic short video use has a dual impact on SI and SIBs. On the one hand, problematic short video use was directly related to the decreased risk of suicidal ideation, attempts, and NSSI. On the other hand, such problematic behavior was indirectly associated with the increased risk of NSSI through sleep disturbance, and it indirectly related to the elevated risk of suicidal ideation, attempts, and NSSI through depression. Besides, on the whole, problematic short video use was positively associated with NSSI but not suicidal ideation and attempts.
CONCLUSIONS
CONCLUSIONS
These findings indicated that problematic short video use had a dual impact on SI and SIBs. Consequently, it is paramount to comprehend the genuine magnitude of the influence that such problematic behavior holds over these intricate psychological conditions.
Identifiants
pubmed: 38915039
doi: 10.1186/s12889-024-19191-5
pii: 10.1186/s12889-024-19191-5
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1689Informations de copyright
© 2024. The Author(s).
Références
Andreassen CS, Billieux J, Griffiths MD, Kuss DJ, Demetrovics Z, Mazzoni E, Pallesen S. The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: a large-scale cross-sectional study. Psychol Addict Behav. 2016;30(2):252.
doi: 10.1037/adb0000160
Beck AT, Steer RA. Manual for the Beck scale for suicide ideation. San Antonio: Psychological Corporation; 1991. p. 63.
Bernert RA, Joiner TE. Sleep disturbances and suicide risk: a review of the literature. Neuropsychiatr Dis Treat. 2007;3(6):735–43.
pubmed: 19300608
pmcid: 2656315
Biernesser C, Sewall CJ, Brent D, Bear T, Mair C, Trauth J. Social media use and deliberate self-harm among youth: a systematized narrative review. Child Youth Serv Rev. 2020;116:105054.
pubmed: 32773916
pmcid: 7413131
doi: 10.1016/j.childyouth.2020.105054
Brailovskaia J, Teismann T, Margraf J. Positive mental health mediates the relationship between Facebook addiction disorder and suicide-related outcomes: a longitudinal approach. Cyberpsychol Behav Soc Netw. 2020;23(5):346–50.
pubmed: 32216638
doi: 10.1089/cyber.2019.0563
Chao M, Lei J, He R, Jiang Y, Yang H. TikTok use and psychosocial factors among adolescents: comparisons of non-users, moderate users, and addictive users. Psychiatry Res. 2023;325:115247.
pubmed: 37167877
doi: 10.1016/j.psychres.2023.115247
Ehlers CL, Frank E, Kupfer DJ. Social zeitgebers and biological rhythms: a unified approach to understanding the etiology of depression. Arch Gen Psychiatry. 1988;45(10):948–52.
pubmed: 3048226
doi: 10.1001/archpsyc.1988.01800340076012
Fan YY, Liu J, Zeng YY, Conrad R, Tang YL. Factors associated with non-suicidal self-injury in Chinese adolescents: a meta-analysis. Front Psych. 2021;12:747031.
doi: 10.3389/fpsyt.2021.747031
Gong X, Xie XY, Xu R, Luo YJ. Psychometric properties of the Chinese versions of DASS-21 in Chinese college students. Chin J Clin Psychol. 2010;18(4):443–6.
Harris LM, Huang X, Linthicum KP, Bryen CP, Ribeiro JD. Sleep disturbances as risk factors for suicidal thoughts and behaviours: a meta-analysis of longitudinal studies. Sci Rep. 2020;10(1):1–11.
doi: 10.1038/s41598-020-70866-6
Hatamleh IHM, Safori AO, Ahmad AK, Al-Etoum NMDI. Exploring the interplay of cultural restraint: the relationship between social media motivation and subjective happiness. Soc Sci. 2023;12(4):228.
doi: 10.3390/socsci12040228
Khazaie H, Zakiei A, McCall WV, Noori K, Rostampour M, Sadeghi Bahmani D, Brand S. Relationship between sleep problems and self-injury: a systematic review. Behav Sleep Med. 2021;19(5):689–704.
pubmed: 32991212
doi: 10.1080/15402002.2020.1822360
Kingsbury M, Reme BA, Skogen JC, Sivertsen B, Øverland S, Cantor N, et al. Differential associations between types of social media use and university students’ non-suicidal self-injury and suicidal behavior. Computers in human behavior. 2021;115:106614.
doi: 10.1016/j.chb.2020.106614
Kliem S, Lohmann A, Mößle T, Brähler E. German Beck Scale for Suicide Ideation (BSS): psychometric properties from a representative population survey. BMC Psychiatry. 2017;17(1):1–8.
doi: 10.1186/s12888-017-1559-9
Klonsky ED, Glenn CR. Assessing the functions of non-suicidal self-injury: psychometric properties of the Inventory of Statements About Self-injury (ISAS). J Psychopathol Behav Assess. 2009;31(3):215–9.
pubmed: 29269992
doi: 10.1007/s10862-008-9107-z
Klonsky ED, Olino TM. Identifying clinically distinct subgroups of self-injurers among young adults: a latent class analysis. J Consult Clin Psychol. 2008;76(1):22.
pubmed: 18229979
doi: 10.1037/0022-006X.76.1.22
Klonsky ED, Saffer BY, Bryan CJ. Ideation-to-action theories of suicide: a conceptual and empirical update. Curr Opin Psychol. 2018;22:38–43.
pubmed: 30122276
doi: 10.1016/j.copsyc.2017.07.020
Leung H, Pakpour AH, Strong C, Lin YC, Tsai MC, Griffiths MD, Lin CY, Chen IH. Measurement invariance across young adults from Hong Kong and Taiwan among three internet-related addiction scales: Bergen social media addiction scale (BSMAS), smartphone application-based addiction scale (SABAS), and internet gaming disorder scale-short form (IGDS-SF9)(study Part A). Addict Behav. 2020;101:105969.
pubmed: 31078344
doi: 10.1016/j.addbeh.2019.04.027
Li XY, Phillips MR, Zhang YL, Xu D, Tong YS, Yang FD, Kuang L. Reliability and validity of the Chinese version of Beck Scale for Suicide Ideation (BSI-CV) among university students. Chin Ment Health J. 2011;25(11):862–6.
Liu JW, Tu YK, Lai YF, Lee HC, Tsai PS, Chen TJ, Huang HC, Chen YT, Chiu HY. Associations between sleep disturbances and suicidal ideation, plans, and attempts in adolescents: a systematic review and meta-analysis. Sleep. 2019;42(6):zsz054.
pubmed: 30843072
doi: 10.1093/sleep/zsz054
Liu RT, Steele SJ, Hamilton JL, Do QB, Furbish K, Burke TA, et al. Sleep and suicide: a systematic review and meta-analysis of longitudinal studies. Clin Psychol Rev. 2020;81:101895.
pubmed: 32801085
pmcid: 7731893
doi: 10.1016/j.cpr.2020.101895
Lovibond SH, Lovibond PF. Manual for the depression anxiety stress scales. Sydney: Psychology Foundation of Australia; 1995. p. 112–8.
MacKinnon D. Introduction to statistical mediation analysis. New York: Routledge, 2012.
Macrynikola N, Auad E, Menjivar J, Miranda R. Does social media use confer suicide risk? A systematic review of the evidence. Comput Hum Behav Rep. 2021;3:100094.
doi: 10.1016/j.chbr.2021.100094
Muthén LK, Muthén BO. Mplus user’s guide. 7.4. Los Angeles: Muthén & Muthén; 2015.
Nesi J, Burke TA, Bettis AH, Kudinova AY, Thompson EC, MacPherson HA, et al. Social media use and self-injurious thoughts and behaviors: a systematic review and meta-analysis. Clin Psychol Rev. 2021;87:102038.
pubmed: 34034038
pmcid: 8243901
doi: 10.1016/j.cpr.2021.102038
Qu D, Liu B, Jia L, Zhang X, Chen D, Zhang Q, et al. The longitudinal relationships between short video addiction and depressive symptoms: a cross-lagged panel network analysis. Comput Hum Behav. 2024;152:108059.
doi: 10.1016/j.chb.2023.108059
Ribeiro JD, Huang X, Fox KR, Franklin JC. Depression and hopelessness as risk factors for suicide ideation, attempts and death: meta-analysis of longitudinal studies. Br J Psychiatry. 2018;212(5):279–86.
pubmed: 29587888
doi: 10.1192/bjp.2018.27
Sedgwick R, Epstein S, Dutta R, Ougrin D. Social media, internet use and suicide attempts in adolescents. Curr Opin Psychiatry. 2019;32(6):534–41.
pubmed: 31306245
pmcid: 6791504
doi: 10.1097/YCO.0000000000000547
Sha P, Dong X. Research on adolescents regarding the indirect effect of depression, anxiety, and stress between TikTok use disorder and memory loss. Int J Environ Res Public Health. 2021;18(16):8820.
pubmed: 34444569
pmcid: 8393543
doi: 10.3390/ijerph18168820
Shrout PE, Bolger N. Mediation in experimental and nonexperimental studies: new procedures and recommendations. Psychol Methods. 2002;7(4): 422.
pubmed: 12530702
doi: 10.1037/1082-989X.7.4.422
Sujarwoto, Saputri RAM, Yumarni T. Social media addiction and mental health among university students during the COVID-19 pandemic in Indonesia. Int J Ment Heal Addict. 2023;21(1):96–110.
doi: 10.1007/s11469-021-00582-3
Tang J, Ma Y, Lewis SP, Chen R, Clifford A, Ammerman BA, et al. Association of internet addiction with nonsuicidal self-injury among adolescents in China. JAMA network open. 2020;3(6):e206863–e206863.
pubmed: 32496567
pmcid: 7273191
doi: 10.1001/jamanetworkopen.2020.6863
Taouk M, Lovibond P, Laube R. Psychometric properties of a Chinese version of the 21-item Depression Anxiety Stress Scales (DASS21) (report for New South Wales Transcultural Mental Health Centre). Sydney: Cumberland Hospital; 2001.
Tibshirani RJ, Efron B. An introduction to the bootstrap. Monographs on statistics and applied probability. 1993;57(1):1–436.
UN, D. World population prospects: the 2012 revision. New York: UN Department of Economic and Social Affairs; 2013.
Wang K, Scherr S. Dance the night away: how automatic TikTok use creates pre-sleep cognitive arousal and daytime fatigue. Mobile Media Commun. 2022;10(2):316–36.
doi: 10.1177/20501579211056116
Wang YJ, Li X, Ng CH, Xu DW, Hu S, Yuan TF. Risk factors for non-suicidal self-injury (NSSI) in adolescents: a meta-analysis. EClinicalMedicine. 2022;46:101350.
pubmed: 35330803
pmcid: 8938878
doi: 10.1016/j.eclinm.2022.101350
Xie J, Xu X, Zhang Y, Tan Y, Wu D, Shi M, Huang H. The effect of short-form video addiction on undergraduates’ academic procrastination: a moderated mediation model. Front Psychol. 2023;14:1298361.
pubmed: 38162977
pmcid: 10756502
doi: 10.3389/fpsyg.2023.1298361
YRBSS | Youth Risk Behavior Surveillance System | Data | Adolescent and School Health | CDC. 2021. https://www.cdc.gov/healthyyouth/data/yrbs/index.htm .
Yu L, Buysse DJ, Germain A, Moul DE, Stover A, Dodds NE, Pilkonis PA. Development of short forms from the PROMIS™ sleep disturbance and sleep-related impairment item banks. Behav Sleep Med. 2012;10(1):6–24.
doi: 10.1080/15402002.2012.636266
Zahra MF, Qazi TA, Ali AS, Hayat N, ul Hassan T. How Tiktok addiction leads to mental health illness? Examining the mediating role of academic performance using structural equation modeling. J Positive Sch Psychol. 2022;6(10):1490–502.
Zhang J, Song Z. Evaluation of scale for suicide ideation in Chinese high school students to study its reliability and validity. J Clin Psychol Med. 2007;17(6):367.
Zhang N, Hazarika B, Chen K, Shi Y. A cross-national study on the excessive use of short-video applications among college students. Comput Hum Behav. 2023;145:107752.
doi: 10.1016/j.chb.2023.107752