Adolescents’ short-form video addiction and sleep quality: the mediating role of social anxiety
Open accessAbstract
Background: Adolescence is a critical period for individual growth and development. Insufficient sleep adversely affects adolescents’ physical development, blood pressure, vision, and cognitive function. This study examined the effect of short-form video addiction on adolescents’ sleep quality, as well as the mediating role of social anxiety, to identify methods for improving adolescents’ sleep quality in the Internet era. Methods: A questionnaire survey was conducted in this cross-sectional study on 1629 adolescents recruited from three high schools. Their short-form video addiction, social anxiety, and sleep quality were evaluated using corresponding scales. Pearson correlation analysis was carried out to analyze the relationships among short‐form video addiction, sleep quality, and social anxiety. Mediating effect analysis was constructed using AMOS 20.0 statistical software. Results: Participants’ sleep quality score is 6.12 ± 3.29 points. The detection rate of sleep quality among them is 31.06%. Short‐form video addiction, sleep quality, and social anxiety are significantly correlated (r = 0.439, 0.404, 0.457, P < 0.001). The direct effect of short-form video addiction on sleep quality is 0.248, accounting for 62.4% of the total effect. The indirect effect exerted through social anxiety is 0.149, accounting for 37.6%. Conclusions: Sleep disorders are very common among Chinese adolescents. Short‐form video addiction is positively correlated with adolescents’ sleep quality and social anxiety. Social anxiety partially mediates the relationship between short-form video addiction and sleep quality. The adverse effects of short-form video addiction and social anxiety on the sleep quality of this group must be minimized. Schools are recommended to implement measures to promote sleep quality among adolescents.
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TL;DR
A cross-sectional survey of 1,629 Chinese high school students found that short-form video addiction was positively associated with poorer sleep quality, and social anxiety partially mediated this relationship. Social anxiety accounted for 37.6% of the total effect of short-form video addiction on sleep quality.
Key findings
- Participants’ sleep quality score was 6.12 ± 3.29, and the detection rate of sleep disorder was 31.06%.
- Short-form video addiction, social anxiety, and sleep quality were significantly positively correlated: addiction–social anxiety r = 0.439, addiction–sleep quality r = 0.404, and sleep quality–social anxiety r = 0.457, all P < 0.001.
- Mediation analysis showed a direct effect of short-form video addiction on sleep quality of 0.248 (95% CI 0.199–0.296), accounting for 62.4% of the total effect (0.397); the indirect effect through social anxiety was 0.149 (95% CI 0.120–0.183), accounting for 37.6%.
- Sleep quality differed significantly by gender, academic performance, family economic condition, and exercise frequency (P < 0.05), but not by grade, only-child status, or family residence (P > 0.05).
Methods
- Cross-sectional questionnaire survey conducted June–July 2023 using stratified cluster sampling among first- and second-year high school adolescents in Shandong Province, China; 1,655 questionnaires were distributed and 1,629 valid copies remained (98.4% effective recovery rate). Mean age was 16.54 ± 0.98 years; 831 male (51.0%) and 798 female (49.0%) students.
- Measures included a short-form video addiction scale (6 items, 5-point scale; internal consistency 0.732), the Social Interaction Anxiety Scale (SIAS; 19 items; Cronbach’s α = 0.874), and the Pittsburgh Sleep Quality Index (PSQI; 18 items; total score 0–21, >7 indicating sleep disorder; Cronbach’s α = 0.77).
- Analyses used SPSS 20.0 for t-tests, one-way ANOVA, and Pearson correlations, and AMOS 20.0/21.0 for structural equation modeling with maximum likelihood estimation and bootstrap testing of mediating effects.
Limitations
- The paper states that all data were self-reported, which may lead to memory bias and social desirability bias; the sample was limited to students from three high schools in Shandong Province, China, which may introduce selection bias; and the cross-sectional design lacked follow-up investigation.
- Evident from the text: because the study is cross-sectional, causal direction and temporal ordering among short-form video addiction, social anxiety, and sleep quality cannot be established.
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- Findingown data
Short-form video addiction is significantly positively correlated with sleep quality (r = 0.404, P < 0.05).
“short‐form video addiction is significantly positively correlated with sleep quality (r = 0.404, P < 0.05)”
- Also stated in: § Results · plain
“Short‐form video addiction, sleep quality, and social anxiety are significantly correlated (r = 0.439, 0.404, 0.457, P < 0.001).”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
The total effect of short-form video addiction on sleep quality is 0.397.
“total effect value (0.397)”
Quote in the paperSubstantial claim - Findingown data
Short-form video addiction is significantly positively correlated with social anxiety (r = 0.439, P < 0.05).
“short‐form video addiction is significantly positively correlated with social anxiety (r = 0.439, P < 0.05)”
- Also stated in: § Results · plain
“Short‐form video addiction, sleep quality, and social anxiety are significantly correlated (r = 0.439, 0.404, 0.457, P < 0.001).”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
The detection rate of sleep quality (indicating sleep disorder) among participants is 31.06%.
“The detection rate of sleep quality among them is 31.06%.”
- Also stated in: § Analysis of status and differences in short-form video addiction, social anxiety, and sleep quality · plain
“sleep quality score of 6.12 ± 3.29 (detection rate = 31.06%)”
Quote in the paperNot a substantial claim - Also stated in: § Analysis of status and differences in short-form video addiction, social anxiety, and sleep quality · plain
- Findingown data
Participants' sleep quality score is 6.12 ± 3.29 points.
“Participants’ sleep quality score is 6.12 ± 3.29 points.”
- Also stated in: § Analysis of status and differences in short-form video addiction, social anxiety, and sleep quality · plain
“Adolescents have a short-form video addiction score of 13.79 ± 4.36, social anxiety score of 42.76 ± 14.23, and sleep quality score of 6.12 ± 3.29 (detection rate = 31.06%).”
Quote in the paperNot a substantial claim - Also stated in: § Analysis of status and differences in short-form video addiction, social anxiety, and sleep quality · plain
- Findingown data
Sleep quality is significantly positively correlated with social anxiety (r = 0.457, P < 0.05).
“sleep quality is significantly positively correlated with social anxiety (r = 0.457, P < 0.05)”
- Also stated in: § Results · plain
“Short‐form video addiction, sleep quality, and social anxiety are significantly correlated (r = 0.439, 0.404, 0.457, P < 0.001).”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
There are no significant differences in sleep quality among adolescents based on only child status (P > 0.05).
“Further analysis reveals no significant differences in sleep quality among adolescents based on grade, only child status, and family residence (P > 0.05).”
Quote in the paperNot a substantial claim - Findingown data
The detection rate of sleep disorder is 31.06%.
“In this study, the total sleep quality score is 6.12 ± 3.29, and the detection rate of sleep disorder is 31.06%.”
Quote in the paperNot a substantial claim - Findingown data
In this study, the total sleep quality score is 6.12 ± 3.29.
“In this study, the total sleep quality score is 6.12 ± 3.29, and the detection rate of sleep disorder is 31.06%.”
Quote in the paperNot a substantial claim - Findingown data
There is a significant positive correlation between short-form video addiction and social anxiety among adolescents.
“This study reveals a significant positive correlation between short-form video addiction and social anxiety among adolescents.”
Quote in the paperSubstantial claim - Findingreasoning
There are significant differences in sleep quality among adolescents based on gender (P < 0.05).
“By contrast, significant differences are found in sleep quality among adolescents based on gender, academic performance, family economic condition, and exercise frequency (P < 0.05).”
Quote in the paperNot a substantial claim - Findingreasoning
There are no significant differences in sleep quality among adolescents based on grade (P > 0.05).
“Further analysis reveals no significant differences in sleep quality among adolescents based on grade, only child status, and family residence (P > 0.05).”
Quote in the paperNot a substantial claim - Findingown data
Social anxiety partially mediates the relationship between short-form video addiction and sleep quality among adolescents (β = 0.149, P < 0.05).
“The mediating effect analysis shows that short-form video addiction has a positive predictive effect on sleep quality (β = 0.248, P < 0.05) and that social anxiety partially mediates the relationship between short‐form video addiction and sleep quality among adolescents (β = 0.149, P < 0.05).”
Quote in the paperSubstantial claim- Rests on an assumption: Social anxiety causally mediates the relationship between short-form video addiction and sleep quality.
- Findingown data
There are significant differences in sleep quality among adolescents based on exercise frequency (P < 0.05).
“By contrast, significant differences are found in sleep quality among adolescents based on gender, academic performance, family economic condition, and exercise frequency (P < 0.05).”
Quote in the paperNot a substantial claim - Findingreasoning
There are significant differences in sleep quality among adolescents based on academic performance (P < 0.05).
“By contrast, significant differences are found in sleep quality among adolescents based on gender, academic performance, family economic condition, and exercise frequency (P < 0.05).”
Quote in the paperNot a substantial claim - Findingown data
Short-form video addiction has a positive predictive effect on sleep quality (β = 0.248, P < 0.05).
“The mediating effect analysis shows that short-form video addiction has a positive predictive effect on sleep quality (β = 0.248, P < 0.05) and that social anxiety partially mediates the relationship between short‐form video addiction and sleep quality among adolescents (β = 0.149, P < 0.05).”
Quote in the paperSubstantial claim - Findingown data
Short-form video addiction significantly predicts sleep quality.
“This study finds that short-form video addiction significantly predicts sleep quality.”
Quote in the paperSubstantial claim - Findingreasoning
There are significant differences in sleep quality among adolescents based on family economic condition (P < 0.05).
“By contrast, significant differences are found in sleep quality among adolescents based on gender, academic performance, family economic condition, and exercise frequency (P < 0.05).”
Quote in the paperNot a substantial claim - Findingown data
There are no significant differences in sleep quality among adolescents based on family residence (P > 0.05).
“Further analysis reveals no significant differences in sleep quality among adolescents based on grade, only child status, and family residence (P > 0.05).”
Quote in the paperNot a substantial claim - Interpretationown data
Social anxiety partially mediates the relationship between short-form video addiction and sleep quality.
“Social anxiety partially mediates the relationship between short-form video addiction and sleep quality.”
- Also stated in: § Analysis of mediating effect · hedged
“These results suggest that social anxiety partially mediates the effect of short‐form video addiction on sleep quality.”
Quote in the paperSubstantial claim- Rests on an assumption: The causal ordering of short-form video addiction, social anxiety, and sleep quality is as specified in the mediation model (short-form video addiction → social anxiety → sleep quality).
- Rests on an assumption: The relationship between short-form video addiction, social anxiety, and sleep quality is not confounded by unmeasured variables.
- Also stated in: § Analysis of mediating effect · hedged
- Study design and conductcitation
The internal consistency of the short-form video addiction scale for Chinese adolescents is 0.732.
“The internal consistency of this scale for measuring short-form video addiction among Chinese adolescents is 0.732 [21].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [21] Hu W, Jiang YH, Wang Q, Wang N. Relationship between short-form Video Social Media Addiction and Sleep Disturbance of College students: the mediating role of Nighttime Social Media Use and the moderating role of gender. Chin J Clin Psychol. 2021;29(1):46–50.
Not checked in the free run.
- Premisecitation
Internet addiction is a high-risk factor for poor sleep quality.
“Internet addiction is a high-risk factor for poor sleep quality [12].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12] Zhang J, Paksarian D, Lamers F, Hickie IB, He J, Merikangas KR. Sleep patterns and mental health correlates among US adolescents. J Pediatr. 2017;182:137–43. source
Not checked in the free run.
- Interpretationown data
Short-form video addiction has a significant direct effect on adolescents' sleep quality.
“Short‐form video addiction has a significant direct effect on adolescents’ sleep quality.”
Quote in the paperSubstantial claim- Rests on an assumption: Short-form video addiction causally affects sleep quality.
- Premisecitation
Besides short sleep hours, adolescents have serious problems with sleep quality.
“Besides short sleep hours, adolescents have serious problems with sleep quality [3].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [3] Zhu X, Haegele JA, Liu H, Yu F. Academic stress, physical activity, sleep, and mental health among Chinese adolescents. Int J Environ Res Public Health. 2021;18(14):7257. source
Not checked in the free run.
- Premisecitation
Social anxiety negatively affects adolescents' sleep quality.
“Therefore, social anxiety, as a type of anxiety [17], negatively affects adolescents’ sleep quality.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [17] Liu HP, Sun HL, Wang HQ. Impact of college students’ social media dependence on sleep disorders:the mediating role of missing anxiety. China J Health Psychol. 2023;31(4):567–71.
Not checked in the free run.
- Premisecitation
High levels of anxiety predict a sustained decrease in sleep time and quality.
“A study using the cross-lagged model to examine the relationship between sleep and psychological symptoms finds that high levels of anxiety predict a sustained decrease in sleep time and quality [15].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [15] Reyihangu T, Du MS, Liu S. Cross-lagged analysis of the relationship between sleep quality, and anxiety and depression among undergraduates. Chin J Public Health Manage. 2021;37(5):647–9.
Not checked in the free run.
- Premisecitation
Social anxiety significantly predicts poor sleep quality in Chinese middle school students.
“Liu et al. conducted an online questionnaire survey on 1402 middle school students in China and found that social anxiety significantly predicts poor sleep quality [16].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [16] Liu ZH, Zhang SS. Association between online social anxiety in middle students with depressive symptoms and sleep quality. Chin J School Health. 2022;43(1):77–81.
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- Study design and conductnone given
The sample was limited to students from three high schools in Shandong Province, China, which may introduce selection bias.
“Second, the sample was limited to students from three high schools in Shandong Province, China, which may introduce selection bias.”
Quote in the paperNot a substantial claim - Interpretationown data
A higher degree of short-form video addiction among adolescents results in poorer sleep quality.
“A higher degree of short‐form video addiction among adolescents results in poorer sleep quality.”
Quote in the paperSubstantial claim- Rests on an assumption: Short-form video addiction causally affects sleep quality.
- Premisecitation
A significant positive correlation is observed between Internet addiction and social anxiety.
“A significant positive correlation is also observed between Internet addiction and social anxiety.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [18] Li ZB, Wang TT, Liang Y, Wang MH. The Relationship between Mobile phone addiction and subjective well-being in College students: the mediating effect of social anxiety. Stud Psychol Behav. 2017;15(4):562–8.
Not checked in the free run.
- Premisereasoning
Social anxiety can increase the use of short videos among adolescents.
“Moreover, social anxiety can increase the use of short videos among adolescents.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [42] Pera A. The psychology of addictive smartphone behavior in young adults: problematic use, social anxiety, and depressive stress. Front Psychiatry. 2020;11:573473. source
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- cites [43] Al-Kandari YY, Al-Sejari MM. Social isolation, social support and their relationship with smartphone addiction. Inform Communication Soc. 2021;24(13):1925–43. source
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- Premisecitation
The blue light emitted by electronic mobile devices at night can interfere with the secretion of melatonin, a hormone that regulates sleep.
“Besides, the blue light emitted by electronic mobile devices at night can interfere with the secretion of melatonin, a hormone that regulates sleep [36, 37].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [36] Haripriya R, Preetha S, Devi RG. Effect of mobile phone usage before sleep. Drug Invention Today. 2018;10(11):2255–7.
Not checked in the free run.
- cites [37] Wahl S, Engelhardt M, Schaupp P, Lappe C, Ivanov IV. The inner clock—blue light sets the human rhythm. J Biophotonics. 2019;12(12):e201900102. source
Not checked in the free run.
- Premisecitation
The radio frequency electromagnetic fields generated by electronic mobile devices can disrupt normal blood flow and metabolic functions in the brain, thereby negatively affecting adolescents' sleep quality.
“The radio frequency electromagnetic fields generated by electronic mobile devices can also disrupt normal blood flow and metabolic functions in the brain, thereby negatively affecting adolescents’ sleep quality [38].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [38] Liu QQ, Zhou ZK, Niu GF, Fan CY. Mobile phone addiction and sleep quality in adolescents: mediation and moderation analyses. Acta Physiol Sinica. 2017A;49(12):1524. source
Not checked in the free run.
- Premisecitation
Adolescents who struggle to meet their need for belonging or maintain social relationships in real life may turn to short videos for opportunities to interact with others, efficiently satisfying their need for interpersonal communication.
“According to the “uses and gratifications approach” [18], adolescents who struggle to meet their need for belonging or maintain social relationships in real life may turn to short videos for opportunities to interact with others, efficiently satisfying their need for interpersonal communication [18].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [18] Li ZB, Wang TT, Liang Y, Wang MH. The Relationship between Mobile phone addiction and subjective well-being in College students: the mediating effect of social anxiety. Stud Psychol Behav. 2017;15(4):562–8.
Not checked in the free run.
- May combine two claims. 11
- The quote only partly states this claim. 1
- Classified as probably not a substantial claim. 20
May combine two claims.
Findingown dataThe indirect effect of short-form video addiction on sleep quality through social anxiety is 0.149, accounting for 37.6% of the total effect.
“The indirect effect exerted through social anxiety is 0.149, accounting for 37.6%.”
- Also stated in: § Analysis of mediating effect · plain
“The indirect effect exerted through social anxiety is 0.149 (95% CI: 0.120–0.183), accounting for 37.6%.”
Quote in the paperSubstantial claim- Also stated in: § Analysis of mediating effect · plain
May combine two claims.
Findingown dataThe direct effect of short-form video addiction on sleep quality is 0.248, accounting for 62.4% of the total effect.
“The direct effect of short-form video addiction on sleep quality is 0.248, accounting for 62.4% of the total effect.”
- Also stated in: § Analysis of mediating effect · plain
“The direct effect of short‐form video addiction on sleep quality is 0.248 (95% CI: 0.199–0.296), accounting for 62.4% of the total effect value (0.397).”
Quote in the paperSubstantial claim- Also stated in: § Analysis of mediating effect · plain
The quote only partly states this claim.
FindingreasoningGirls have poorer sleep quality than boys.
“Further analysis indicates that girls have poorer sleep quality than boys.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe Cronbach's α coefficient of the SIAS when used with Chinese adolescents is 0.874.
“When SIAS is used with Chinese adolescents, the Cronbach’s α coefficient is 0.874 [23].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [23] Ye DM, Qian MY, Liu XH, Chen X. Revision of Social Interaction anxiety scale and Social Phobia Scale. Chin J Clin Psychol. 2007;15(2):115–7.
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Interpretationown dataSleep disorders are very common among Chinese adolescents.
“Sleep disorders are very common among Chinese adolescents.”
Quote in the paperNot a substantial claim- Rests on an assumption: The sample of adolescents from Shandong Province is representative of Chinese adolescents generally.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe study took measures to reduce response bias or social desirability effects in the self-report measures.
“The following measures were taken to reduce response bias or social desirability effects in the self-report measures:”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe Cronbach's α coefficient of the PSQI when applied to the Chinese population is 0.77.
“The Cronbach’s α coefficient of PSQI is 0.77 when applied to the Chinese population.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [25] Liu XC, Tan MQ, Hu L, Wang AZ, Wu HX, Zhao GF, et al. Eliability and validity of Pittsburgh sleep quality index. Chin J Psychiatry. 1996;29:103–7.
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Study design and conductcitationThe sample size should be at least 860, considering the 43 items, according to Kline's rule that sample size must be more than 20 times the number of items.
“According to Kline [20], the sample size must be more than 20 times the number of items. Therefore, the sample size should be at least 860, considering the 43 items.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [20] Kline RB. Principles and practice of structural equation modeling. New York: Guilford; 1998.
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May combine two claims.
PremisecitationAdolescents have more prominent sleep problems than college students and children, with a higher incidence of sleep disorder and a trend of increasing deterioration.
“Compared with college students and children, adolescents have more prominent sleep problems, with a higher incidence of sleep disorder and a trend of increasing deterioration [3].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [3] Zhu X, Haegele JA, Liu H, Yu F. Academic stress, physical activity, sleep, and mental health among Chinese adolescents. Int J Environ Res Public Health. 2021;18(14):7257. source
Not checked in the free run.
May combine two claims.
InterpretationreasoningAlleviating adolescents' social anxiety can help alleviate their short-form video addiction and improve their sleep quality.
“Therefore, alleviating adolescents’ social anxiety can help alleviate their short‐form video addiction and improve their sleep quality.”
Quote in the paperSubstantial claim- Rests on an assumption: Social anxiety causally mediates the relationship between short-form video addiction and sleep quality.
May combine two claims.
Interpretationown dataShort-form video addiction increases social anxiety among adolescents and leads to more negative emotions and less positive emotions, thereby undermining their sleep quality.
“In addition, short‐form video addiction increases social anxiety among adolescents and leads to more negative emotions and less positive emotions, thereby undermining their sleep quality.”
Quote in the paperSubstantial claim- Rests on an assumption: Short-form video addiction causally increases social anxiety among adolescents.
Classified as probably not a substantial claim.
PremisecitationInternet addiction leads to social anxiety in adolescents.
“Li et al. [18] suggested that as Internet addiction increases, adolescents spend more time and energy on the Internet and less on activities such as interpersonal communication. This imbalance results in decreased self-efficacy and increased loneliness, ultimately leading to social anxiety.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [18] Li ZB, Wang TT, Liang Y, Wang MH. The Relationship between Mobile phone addiction and subjective well-being in College students: the mediating effect of social anxiety. Stud Psychol Behav. 2017;15(4):562–8.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningAll the data were collected from subjective reports by the participants, which may lead to errors such as memory bias and social desirability bias.
“First, all the data were collected from subjective reports by the participants, which may probably lead to errors, such as memory bias and social desirability bias).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSleep problems lead to a series of adverse outcomes, including decreased immune function, obesity, traffic accidents, substance abuse, depression, and suicidal tendency.
“Sleep problems lead to a series of adverse outcomes, including decreased immune function, obesity, traffic accidents, substance abuse, depression, and suicidal tendency [1–3].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [1] Besedovsky L, Lange T, Haack M. The sleep-immune crosstalk in health and disease. Physiol Rev. 2019;99(3):1325–80. source
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- cites [2] Sampasa-Kanyinga H, Colman I, Goldfield GS, Janssen I, Wang J, Podinic I, Chaput JP. Combinations of physical activity, sedentary time, and sleep duration and their associations with depressive symptoms and other mental health problems in children and adolescents: a systematic review. Int J Behav Nutr Phys Activity. 2020;17(1):1–16. source
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- cites [3] Zhu X, Haegele JA, Liu H, Yu F. Academic stress, physical activity, sleep, and mental health among Chinese adolescents. Int J Environ Res Public Health. 2021;18(14):7257. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPhysiological and behavioral factors such as fatigue and excessive use of the Internet and smartphones can also affect adolescents' sleep quality.
“Physiological and behavioral factors such as fatigue and excessive use of the Internet and smartphones can also affect adolescents’ sleep quality [5].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [5] Karki K, Singh DR, Maharjan D, KC S, Shrestha S, Thapa DK. Internet addiction and sleep quality among adolescents in a peri-urban setting in Nepal: a cross-sectional school-based survey. PLoS ONE. 2021;16(2):e0246940. source
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May combine two claims.
Interpretationown dataShort-form video addiction not only directly predicts sleep quality but also indirectly affects sleep quality through social anxiety.
“In other words, short‐form video addiction not only directly predicts sleep quality but also indirectly affects sleep quality through social anxiety.”
Quote in the paperSubstantial claim- Rests on an assumption: Short-form video addiction causally affects sleep quality.
- Rests on an assumption: Social anxiety causally mediates the relationship between short-form video addiction and sleep quality.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPsychological factors such as resilience, loneliness, depression, and stress can decrease individuals' sleep quality.
“Psychological factors such as resilience, loneliness, depression, and stress can decrease individuals’ sleep quality [4].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [4] Yang YT, Cui Y, Cui W, Pan JJ, Qian H, Cui LJ. Effects of Internet use and internet addiction on sleep quality in college students. J Psychiatry. 2019;32(3):174–8.
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Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAdolescence is a critical period for the development of social anxiety.
“Adolescence is a critical period for the development of social anxiety [19].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [19] Lu SZ, Li HR, Lv WK. Research on the localization of rational emotional therapy under the system of Psychosocial Theory. Youth Child Res Pract. 2020;35(4):25–32.
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Study design and conductnone givenThis cross-sectional study lacked follow-up investigation.
“Besides, this cross-sectional study lacked follow-up investigation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationStrengthening physical exercise is beneficial for reducing the occurrence of anxiety symptoms.
“Strengthening physical exercise is beneficial for reducing the occurrence of anxiety symptoms, and adolescents who exercise more frequently are more likely to have longer sleep hours compared with their peers who exercise less frequently [3, 32].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [3] Zhu X, Haegele JA, Liu H, Yu F. Academic stress, physical activity, sleep, and mental health among Chinese adolescents. Int J Environ Res Public Health. 2021;18(14):7257. source
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- cites [32] Liu Y, Zhang WB, Cai J. Relation of anxiety and depression to lifestyle in junior high school students. Chin Mental Health J. 2017;31(3):235–40.
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Classified as probably not a substantial claim.
PremisecitationInternet addiction is significantly positively correlated with sleep quality in Vietnamese adolescents.
“Zhang et al. [12] conducted a cross-sectional survey on Internet addiction and sleep quality in Vietnamese adolescents and found a significant positive correlation between Internet addiction and sleep quality.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12] Zhang J, Paksarian D, Lamers F, Hickie IB, He J, Merikangas KR. Sleep patterns and mental health correlates among US adolescents. J Pediatr. 2017;182:137–43. source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Interpretationown dataSleep quality remains a prominent problem among adolescents that requires attention from the education department.
“Sleep quality remains a prominent problem among adolescents that require attention from the education department.”
Quote in the paperNot a substantial claim- Rests on an assumption: The sample of students from three high schools in Shandong Province is representative of adolescents in general.
May combine two claims.
PremisecitationHostility is significantly correlated with poor sleep quality and ultimately decreases overall sleep quality.
“Hostility is significantly correlated with poor sleep quality and ultimately decreases overall sleep quality [33, 46].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [33] Brand S, Gerber M, Beck J, Hatzinger M, Pühse UWE, Holsboer-Trachsler E. Exercising, sleep-EEG patterns, and psychological functioning are related among adolescents. World J Biol Psychiatry. 2010;11(2):129–40. source
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- cites [46] Xiong M, Chen J, Ye Y. How relative deprivation affects the sleep quality of Chinese college students: testing an integrated model of social anxiety and trait mindfulness. Front Psychol. 2023;14:1111845. source
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May combine two claims.
InterpretationcitationIndividuals with social anxiety are prone to negative evaluations of their environment and other people, and those with poorer social support systems tend to have more severe social avoidance tendencies, are less able to integrate into the group, or are more likely to be excluded by the group, thus they may seek social connections and a sense of belonging by watching short videos, ultimately ведущ
“As suggested by social cognitive theory, individuals with social anxiety are prone to negative evaluations of their environment and other people. Those with poorer social support systems tend to have more severe social avoidance tendencies, are less able to integrate into the group, or are more likely to be excluded by the group [43, 44]. Thus, they may seek social connections and a sense of bel”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [43] Al-Kandari YY, Al-Sejari MM. Social isolation, social support and their relationship with smartphone addiction. Inform Communication Soc. 2021;24(13):1925–43. source
Not checked in the free run.
- cites [44] Ren YJ, Li ML. Influence of physical exercise on social anxiety of left-behind children in rural areas in China: the mediator and moderator role of perceived social support. J Affect Disord. 2020;266:223–9. source
Not checked in the free run.
May combine two claims.
PremisecitationPeople with anxiety are likely to have poorer sleep quality and more prominent problems during daytime such as drowsiness, fatigue, and lack of concentration.
“People with anxiety are likely to have poorer sleep quality and more prominent problems during daytime such as drowsiness, fatigue, and lack of concentration [46].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [46] Xiong M, Chen J, Ye Y. How relative deprivation affects the sleep quality of Chinese college students: testing an integrated model of social anxiety and trait mindfulness. Front Psychol. 2023;14:1111845. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationInternet addiction leads to an increase in social anxiety among adolescents.
“This outcome is consistent with the research finding that Internet addiction leads to an increase in social anxiety among adolescents [14, 39, 40].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [14] Weinstein A, Dorani D, Elhadif R, Bukovza Y, Yarmulnik A, Dannon P. Internet addiction is associated with social anxiety in young adults. Ann Clin Psychiatry. 2015;27(1):4–9.
Not checked in the free run.
- cites [39] Du XX, Li JX, Dong SS, Dong YX, Feng CY, Li YH. Investigation and analysis of internal and external influencing factors of short video addiction among undergraduate nursing students. Health Vocat Educ. 2021;39(7):116–9.
Not checked in the free run.
- cites [40] Jiang YW, Xu SM, Li XX, Yi YY. The impact of short video addiction on social anxiety among college students: the mediating role of coping tendencies. Psychol Monthly. 2023;18(1):61–4.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAdolescents who exercise more frequently are more likely to have longer sleep hours compared with their peers who exercise less frequently.
“Strengthening physical exercise is beneficial for reducing the occurrence of anxiety symptoms, and adolescents who exercise more frequently are more likely to have longer sleep hours compared with their peers who exercise less frequently [3, 32].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [3] Zhu X, Haegele JA, Liu H, Yu F. Academic stress, physical activity, sleep, and mental health among Chinese adolescents. Int J Environ Res Public Health. 2021;18(14):7257. source
Not checked in the free run.
- cites [32] Liu Y, Zhang WB, Cai J. Relation of anxiety and depression to lifestyle in junior high school students. Chin Mental Health J. 2017;31(3):235–40.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSocial anxiety is considered one of the predominant risk factors causing mobile phone addiction.
“At present, social anxiety is considered one of the predominant risk factors causing mobile phone addiction [42, 43]”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [42] Pera A. The psychology of addictive smartphone behavior in young adults: problematic use, social anxiety, and depressive stress. Front Psychiatry. 2020;11:573473. source
Not checked in the free run.
- cites [43] Al-Kandari YY, Al-Sejari MM. Social isolation, social support and their relationship with smartphone addiction. Inform Communication Soc. 2021;24(13):1925–43. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn the past decade, short-term intervention studies find a significant correlation between objectively measured sleep hours and physical exercise.
“In the past decade, short-term intervention studies find a significant correlation between objectively measured sleep hours and physical exercise [3, 33, 34].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [3] Zhu X, Haegele JA, Liu H, Yu F. Academic stress, physical activity, sleep, and mental health among Chinese adolescents. Int J Environ Res Public Health. 2021;18(14):7257. source
Not checked in the free run.
- cites [33] Brand S, Gerber M, Beck J, Hatzinger M, Pühse UWE, Holsboer-Trachsler E. Exercising, sleep-EEG patterns, and psychological functioning are related among adolescents. World J Biol Psychiatry. 2010;11(2):129–40. source
Not checked in the free run.
- cites [34] Santiago LDCS, Lyra MJ, Cunha Filho M, Cruz PWDS, Santos MAMD, Falcão A, P.S.T. Efeito De uma sessão de treinamento de força sobre a qualidade do sono de adolescentes. Revista Brasileira De Med do Esporte. 2015;21:148–52. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationShort-form video addiction indirectly reduces real-life interactions and contributes to interpersonal relationship barriers.
“Research indicates that short‐form video addiction indirectly reduces real-life interactions and contributes to interpersonal relationship barriers [41].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [41] Jiang YZ. A review of psychological formation mechanisms of the problematic Mobile Social Media Use in adolescents. Educ Res Monthly. 2018;35(12):45–56.
Not checked in the free run.
The paper relies on this without support.
Currently, studies on the relationship between short-form video addiction and social anxiety in this group are few.
“Currently, studies on the relationship between short-form video addiction and social anxiety in this group are few.”
The paper relies on this without support.
The causal ordering of short-form video addiction, social anxiety, and sleep quality is as specified in the mediation model (short-form video addiction → social anxiety → sleep quality).
“The model had short‐form video addiction as the independent variable, social anxiety as the mediating variable, and sleep quality as the dependent variable.”
The paper relies on this without support.
The sample of adolescents from Shandong Province is representative of Chinese adolescents generally.
“Using the stratified cluster sampling method, a questionnaire survey was conducted between June and July 2023 on first-year and second-year high school adolescents in Shandong Province, China.”
The paper relies on this without support.
The relationship between short-form video addiction, social anxiety, and sleep quality is not confounded by unmeasured variables.
“The model had short‐form video addiction as the independent variable, social anxiety as the mediating variable, and sleep quality as the dependent variable.”
The paper relies on this without support.
Short-form video addiction causally affects sleep quality.
“A higher degree of short‐form video addiction among adolescents results in poorer sleep quality.”
The paper relies on this without support.
Social anxiety causally mediates the relationship between short-form video addiction and sleep quality.
“The mediating effect analysis shows that short-form video addiction has a positive predictive effect on sleep quality (β = 0.248, P < 0.05) and that social anxiety partially mediates the relationship between short‐form video addiction and sleep quality among adolescents (β = 0.149, P < 0.05).”
The paper relies on this without support.
The sample of students from three high schools in Shandong Province is representative of adolescents in general.
“Second, the sample was limited to students from three high schools in Shandong Province, China, which may introduce selection bias.”
The paper relies on this without support.
Short-form video addiction causally increases social anxiety among adolescents.
“In addition, short‐form video addiction increases social anxiety among adolescents and leads to more negative emotions and less positive emotions, thereby undermining their sleep quality.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Binge-scrolling is associated with various negative psychological outcomes, including decreased learning motivation, reduced well-being, declines in sleep quality, heightened anxiety, attention deficits, and increased ADHD symptoms.
“This behavior has been associated with various negative outcomes, including decreased learning motivation and reduced well-being during academic activities7, as well as declines in sleep quality30.”
From The binge scrolling scale measures excessive scrolling through a validated three-factor structure (2025) · cites this paper as [30]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Economic-condition interpretation reverses the reported sleep scores
MajorThe paper defines higher PSQI scores as poorer sleep quality. Yet Table 1 reports a lower score for the slightly poor group (5.15) than for the rich group (6.89), contrary to the discussion's conclusion that poorer economic conditions worsen sleep quality.
“Poorer family economic conditions worsen sleep quality.”
“| | Slightly poor (B) | 337 | 12.54 + 3.60a | 39.64 + 13.12 | 5.15 + 3.36a | | | Medium (C) | 573 | 14.51 + 4.25ab | 43.93 + 14.32ab | 6.39 + 3.30b | | | Slightly rich (D) | 274 | 15.05 + 4.60ab | 43.51 + 14.01ab | 6.54 + 2.89ab | | | Rich (E) | 149 | 16.02 + 3.78abcd | 47.45 + 13.94abcd | 6.89 + 3.18ab |”
Family-residence difference is called both nonsignificant and significant
MinorThe discussion first reports no significant sleep-quality difference by family residence, consistent with Table 1's P = 0.846, but later calls that difference significant.
“no significant differences in sleep quality among adolescents based on grade, only child status, and family residence (P > 0.05).”
“This reason also account for the significant difference in sleep quality among adolescents with different family residences.”
Cited study's location conflicts with its reference title
MinorThe introduction describes reference [12] as a survey of Vietnamese adolescents, but the listed title of reference [12] specifies US adolescents.
“Zhang et al. [12] conducted a cross-sectional survey on Internet addiction and sleep quality in Vietnamese adolescents”
“12. Zhang J Paksarian D Lamers F Hickie IB He J Merikangas KR Sleep patterns and mental health correlates among US adolescents J Pediatr 2017 182 137 43”
Two AMOS versions are reported
MinorThe methods say the mediation analysis used AMOS 20.0, while the results say the structural equation model was established using Amos 21.0.
“Mediating effect analysis was constructed using AMOS 20.0 statistical software.”
“this study established a structural equation model using Amos 21.0.”
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ResultThe relationship between adolescent academic stress and sleep quality: A multiple mediation model
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Cited by
Sorted by citations
Gao, Y., Hu, Y., Wang, J., Liu, C., Im, H., Jin, W., Zhu, W., Ge, W., Zhao, G., Yao, Q., et al. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121029 · Cited by 43 · see citing works
“As a form of behavioral disorder, SVA has been linked to a host of adverse physical and psychological consequences, including sleep disturbances (Jiang and Yoo, 2024), visual impairments (Ming et al., 2023), cervical spinal injuries (Armstrong-Wood et al., 2024), cognitive deficits related to…”
How stress influences short video addiction in China: an extended compensatory internet use model
Hu, H., & Huang, M. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1470111 · Cited by 39 · see citing works
Zhang, L., Zhuo, X.-F., Xing, K., Liu, Y., Lu, F., Zhang, J., Qi, Z., Zhang, L., Yu, Z., & Gu, C.-R. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1465109 · Cited by 30 · see citing works
“For individuals with high levels of neuroticism, effective interventions could include cognitive-behavioral therapy (CBT), mindfulness meditation, and emotional regulation training to manage stress and reduce dependency on short videos (Prayogi et al., 2024; Yan et al., 2024; Jiang and Yoo, 2024).”
BackgroundGuo, J., & Chai, R. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1509636 · Cited by 31 · see citing works
Cheng, R., Yang, L., & Kang, S.-J. (2025) · BMC Psychology · doi:10.1186/s40359-025-02497-3 · Cited by 27 · see citing works
“This scale has demonstrated good reliability and validity in high school student populations [58].”
The impact of childhood emotional maltreatment on adolescent insomnia: a chained mediation model
Shen, Q., Wang, H., Liu, M., Li, H., Zhang, T., Zhang, F., Wang, S., Liu, Y., & Deng, L. (2025) · BMC Psychology · doi:10.1186/s40359-025-02803-z · Cited by 15 · see citing works
Chiencharoenthanakij, R., Yothamart, K., Chantathamma, N., Sukhumdecha, W., Charoensri, S., Thanyakulsajja, B., & Anuroj, K. (2025) · Brain and Behavior · doi:10.1002/brb3.70656 · Cited by 17 · see citing works
“…scroll-based navigation—made possible by modern internet infrastructure—differs from traditional browsing or searching methods and may reinforce a preference for immediate gratification,particularlyappealingtochildren’slimitedattention spans (Qin et al. 2022; Yan et al. 2023; Jiang and Yoo 2024).”
Does Leisure Boredom Predict Short Video Addiction in Adolescents?
Baltacı, Ö., & Açar, I. (2025) · Psychiatric Quarterly · doi:10.1007/s11126-025-10172-4 · Cited by 11 · see citing works
Liu, C., Li, H., Shangguan, Q., Zeng, Y., Wang, P., Zong, Z., Jin, W., & Wang, Q. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121605 · Cited by 12 · see citing works
Tian, L., Xu, W., Cui, M., & Dai, H. (2025) · BMC Nursing · doi:10.1186/s12912-025-03325-0 · Cited by 9 · see citing works
Wang, K., Sun, J., Han, J., & Wu, Z. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1666895 · Cited by 7 · see citing works
“Excessive exposure to short videos can lead to a decline in daily performance indicators such as sleep quality and academic performance (Jiang and Yoo, 2024; Ye et al., 2022).”
Association between internet addiction and sleep quality in medical students: a longitudinal study
Guo, C., Chen, M., Ji, X., Jiang, L., Ma, Y., & Zang, S. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1517590 · Cited by 6 · see citing works
Self-citationJia, D. Y., & Wang, Y. (2025) · Cyberpsychology Behavior and Social Networking · doi:10.1177/21522715251404199 · Cited by 4 · see citing works
“These fi ndings extend prior research on general SFV use 30,46 by highlighting how a problematic, procrastinatory pattern of social media engagement can particularly correlate with adverse mental health and sleep outcomes.”
Karaaslan, M. M., & Berber, K. (2026) · Children and Youth Services Review · doi:10.1016/j.childyouth.2025.108746 · Cited by 5 · see citing works
Li, C., & Wang, Y. (2024) · Risk Management and Healthcare Policy · doi:10.2147/rmhp.s491498 · Cited by 4 · see citing works
“20 While such empirical evidence has been accumulating in the general adolescents, college students and older adult population, scarce attention has been given to the potential significance of short-form video applications usage in ameliorating the effects on depression of the specific type of…”
Jiang, Y., Zhao, B., Qin, X., & Wu, X. (2025) · Current Psychology · doi:10.1007/s12144-025-08688-w · Cited by 3 · see citing works
Liu, R., Yu, H., Li, F. C., Hou, Y., & Chi, X. (2026) · Journal of Health Psychology · doi:10.1177/13591053251409900 · Cited by 3 · see citing works
“Consistent with findings from the general population, both SVA and insomnia significantly decrease firefighters’ PSS (Liu et al., 2021; Jiang and Yoo, 2024), which in turn impacts mental health symptoms (Baglioni et al., 2011; Harvey, 2002).”
InfluentialDu, Y., Wan, X., Xu, J., & Feng, H. (2026) · Child Psychiatry & Human Development · doi:10.1007/s10578-026-02003-9 · Cited by 4 · see citing works
Kılıç, F. E., Küçükkelepçe, O., & Konyalıoğlu, F. S. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-06926-w · Cited by 3 · see citing works
“From infancy, sleep plays a critical role in the growth and development of adolescents [5].”
Xie, Z., Han, J., Liu, J., & Guan, W. (2025) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-025-06832-w · Cited by 4 · see citing works
“Jiang and Yoo ( 2024) discovered that students from low-income families and those with low exercise frequencies exhibited more severe short-form video addiction behaviors.”
The binge scrolling scale measures excessive scrolling through a validated three-factor structure
Savci, M., Savci, H., Ugur, E., Zincirli, M., & Elhai, J. D. (2025) · Scientific Reports · doi:10.1038/s41598-025-31861-x · Cited by 2 · see citing works
“In addition, social desirability bias has been considered a crucial limitation in studies on problematic short video use 23,30,32 .”
Huang, M., Liu, C., Li, H., Kan, Q., Li, X., Wang, H., Zhang, M., Hu, Y., Wang, H., & Wang, Q. (2026) · Biological Psychology · doi:10.1016/j.biopsycho.2026.109262 · Cited by 2 · see citing works
Tong, W., Wang, S., Guo, S., Huang, Y.-H., Chai, L., Meng, S., & Qi, K. (2025) · Scientific Reports · doi:10.1038/s41598-025-31807-3 · Cited by 2 · see citing works
“This finding aligns closely with our proposed pathway of “smartphone addiction → social anxiety → sleep quality” 48 .”
Xiong, G., Liu, J., Huang, C., Zhang, Y., Wenqing, L. I., & Li, X. (2026) · Computers in Human Behavior · doi:10.1016/j.chb.2026.109023 · Cited by 2 · see citing works
Lyu, B., & Chen, J. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2026.106911 · Cited by 2 · see citing works
Zhang, Z., Wu, Y., Deng, C., Wang, P., & Nong, W. (2025) · International Journal of Mental Health Promotion · doi:10.32604/ijmhp.2025.070883 · Cited by 3 · see citing works
Yang, B., Zhao, H., Li, Z., Li, J., & Liu, X. (2025) · Indoor and Built Environment · doi:10.1177/1420326x251392075 · Cited by 1 · see citing works
Kurtça, T. T. (2026) · Current Psychology · doi:10.1007/s12144-025-08543-y · Cited by 1 · see citing works
“In this study, SVA is conceptualized not as a clinical disorder but as an excessive and compulsive involvement with short-video platforms, reflecting tendencies commonly observed in addictive behaviors (Jiang & Yoo, 2024).”
Wenqing, L. I., Li, X., Tian, X., Zhao, Y., Li, J., & Yang, C. (2026) · Journal of Behavioral Addictions · doi:10.1556/2006.2025.00367 · Cited by 1 · see citing works
“…fl icting relationships, academic dif fi culties (Bender, Kim, & Gentile, 2020; Oberst, Weg-mann, Stodt, Brand, & Chamarro, 2017; Y ı ld ı z Durak, 2020), and physical health issues (Jiang & Yoo, 2024; Männikkö, Billieux, & Kääriäinen, 2015; Sümen & Evgin, 2021; Zamani, Chashmi, & Hedayati, 2009).”
Jiang, Z., Kang, T., & Wu, H. (2026) · BMC Psychiatry · doi:10.1186/s12888-026-08024-x · Cited by 2 · see citing works
“Adolescents are in a critical stage of brain development with immature self-control abilities, making them more vulnerable to the negative effects of excessive short-video use compared to adults [22, 35, 70].”
Bai, K., & Liu, Y. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1856148 · Cited by 3 · see citing works
“Specifically, SP enhances HP, which promotes SVA and ultimately contributes to CF, while PP increases LC, which strengthens SVA and subsequently leads to CF (Hsu et al., 2024; Jiang and Yoo, 2024; Faraci and Nasonte, 2024).”
InfluentialChen, Y., Li, J., Shan, H., Zhong, N., & Zhao, M. (2026) · BMC Psychology · doi:10.1186/s40359-026-05145-6 · Cited by 1 · see citing works
“…research has reported associations between PSVU and various psychosocial difficulties, including anxiety, depression, and stress [17, 63, 69], sleep disturbances [38, 68], academic difficulties [17, 93], and cognitive functioning problems such as attention and memory difficulties [69, 84, 91, 96].”
Feng, Y., Lin, F., & Liu, N. (2026) · Current Psychology · doi:10.1007/s12144-026-09880-2 · Cited by 1 · see citing works
“Research on adolescents has linked differential outcomes in short-form video use to demographic variables like parental education and family income (Yang et al., 2022; Jiang & Yoo, 2024)—factors often intertwined with the urban-rural divide.”
Analysis of adolescent social behavior on short video platforms based on graph neural networks
Wang, Y. (2025) · International Conference on Computer Technology, Information Engineering, and Electron Materials (CTIEEM) · doi:10.1117/12.3058733
“When applied to the social behavior on short video platforms, GNNs can effectively model and predict behaviors such as user interests, sharing, and commenting [1].”
Validation of the Short Video Addiction Scale: A Psychometric Study Among Chinese AdolescentsPreprint
Jiang, Z., Kang, T., Chen, Y., Chen, W., & Wu, H. (2025) · Research Square · doi:10.21203/rs.3.rs-6259796/v1
Shang, X., Li, S., Lee, J. J., Guo, J., Luk, T. T., Lai, A. Y. K., & Wang, M. P. (2025) · Behavioral Sleep Medicine · doi:10.1080/15402002.2025.2513311
“Although short-form video applications have surged in popularity in recent years, excessive use can lead to addiction and negatively affect sleep quality (Jiang & Yoo, 2024).”
Hu, Y., Chi, X., Lu, Z., He, Y., Saiding, A., & Liu, D. (2025) · doi:10.2196/preprints.104386
Ren, H., Dang, J., Liu, J., & Zou, H. (2025) · BMC Psychology · doi:10.1186/s40359-025-03795-6
“Furthermore, engaging in stimulating online activities such as gaming or social media interactions makes it harder to wind down before sleep [29].”
Mapping the psychological landscape of short video consumption: A bibliometric analysis
Jha, M., & Sharma, P. (2025) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2025.102312
Exploring the reciprocal associations between short-form video application addiction and bullying
Chen, Z., Li, J., Gao, R., Liu, Y., Lu, Y., & Chu, X. (2025) · Revista de Psicodidáctica (English ed ) · doi:10.1016/j.psicoe.2025.500182
Chen, W., Xue, Q., Zhang, J., Wang, Q., & Guo, M. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1644890 · Cited by 1 · see citing works
Go, S., Jung, B. M., Bae, Y., et al. (2025) · Journal of the East Asian Society of Dietary Life · doi:10.17495/easdl.2025.12.35.6.597
Li, X., Song, X., Wenqing, L. I., Zhao, Y., Yang, C., Zhang, Y., & Tian, X. (2026) · Personality and Individual Differences · doi:10.1016/j.paid.2026.113646 · Cited by 2 · see citing works
Beyond the Swipe: How Short-Form Video Shape Engagement and Impact Memory Capability
Rahayu, F. L. S., Wulandari, K., Christianto, S., et al. (2025) · doi:10.1109/icitee66631.2025.11338412
“The other study investigating the impact of short video addiction found that a higher degree of short‐form video addiction among adolescents results in poorer sleep quality [15].”
Chen, Z., Li, J., Gao, R., Liu, Y., Lu, Y., & Chu, X. (2026) · Revista de Psicodidáctica · doi:10.1016/j.psicod.2025.500182
Guo, M., Li, X., Zheng, W., Zhao, M., Yang, C., Wenqing, L. I., Wan, Z., & Zhao, Y. (2026) · Applied Research in Quality of Life · doi:10.1007/s11482-025-10539-6
Ziółkowska, N., Kruszewska, N., Cholewiński, M., Szajewski, P., Pełszyk, A., Pluta, A., Kącikowska, J., Marciniak, D., Łapicka, J., & Rosół, N. (2025) · International Journal of Innovative Technologies in Social Science · doi:10.31435/ijitss.4(48).2025.4412
Liu, Y., Wu, X., Wang, Y., Yang, G., Wang, D., & Birling, Y. (2026) · Perspectives on Integrative Medicine · doi:10.56986/pim.2026.02.010
“…several domains: including, but not limited to, the Clinical Global Impression scale [29] for symptom improvement, Pittsburgh Sleep Quality Index [30] for sleep quality, RLS QoL questionnaire [31] for quality of life, Epworth Sleepiness Scale [32] for sleepiness, and the Hamilton Scales for…”
Xu, L., Liu, B., Zhou, X., et al. (2026) · Scientific Reports · doi:10.1038/s41598-025-31731-6
“Although none of these mediating pathways were statistically significant, their directional consistency with prior literature (e.g., Dong et al. and Mahsa Nahidi et al.) supports their theoretical relevance 32,33 .”
Su, X., & Wu, F. (2026) · Canadian Journal of Science Mathematics and Technology Education · doi:10.1007/s42330-026-00461-w · Cited by 1 · see citing works
“(2026) 26:29 The instant internet and a huge number of smartphones made short-form videos (Jiang & Yoo, 2024) the most popular kind of videos among students who could consume these videos anywhere and anytime without any restriction.”
Li, B., Samah, N. A., & Liu, T. (2026) · BMC Psychology · doi:10.1186/s40359-026-04625-z
Su, P., & He, M. (2026) · Cyberpsychology Behavior and Social Networking · doi:10.1177/21522715261446728
“10 Most studies report that SVA is associated with feelings of psychological emptiness and reduced of fl ine social support, 11,12 and with higher levels of depressive symptoms.”
Zhang, M., Gu, L., Ma, X., Dang, L., Zhang, Y., Gou, F., & Tian, X. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1799801
“Poor sleep quality may further be associated with reduced emotional regulation capacity and resilience, and with more severe depressive symptoms (41).”
Zhao, Z., 崔中磊, & Sun, H. (2026) · BMC Psychology · doi:10.1186/s40359-026-04699-9
“Short video addiction exerts a detrimental impact on college students’ physical and psychological well-being, with empirical research documenting its adverse effects on students’ sleep quality, attention spans and learning burnout [4– 6].”
Lin, Y., Tao, H., Sun, G., Zhao, S., & Wang, L. (2026) · Scientific Reports · doi:10.1038/s41598-026-54965-4 · Cited by 1 · see citing works
“…symptoms like difficulty falling asleep were widely described, critical contextual information regarding formal diagnosis or clear indications for seeking professional help was frequently absent, potentially increasing the risk of self-misdiagnosis or unnecessary health anxiety among viewers 19 .”
Analisis Pengaruh Desain Video Berformat Pendek terhadap Attention Span
Kamaludinata, N. G., & Retnoningsih, S. (2026) · Jurnal Desain Komunikasi Visual. · doi:10.47134/dkv.v3i1.5518
Wang, X., Zeng, Y.-M., Liu, X., Yang, W., Liu, Y., Chen, X., Wang, Y., Lou, Y., & Shao, Y. (2026) · Research Square · doi:10.21203/rs.3.rs-9858358/v1
Detection of Short-Form Video Addiction through Diffusion-Based Graph Augmentation
Hung, H.-J., Kuo, F. Y., Chang, M., et al. (2026) · International Conference on Communications · doi:10.1109/icc59461.2026.11587093
“Physiologically, it causes sleep deprivation [8], impairing cognitive and work performance.”
Sarman, F., Erci, B., & Sarman, A. (2026) · Journal of Pediatric Nursing · doi:10.1016/j.pedn.2026.07.021
Crisis, adolescence, and mental health: considerations from the Theory of Subjectivity
Cobucci, B. R. B., & Goulart, D. M. (2026) · Estudos de Psicologia (Campinas) · doi:10.1590/1982-0275202643e14598
Yang, S., Dong, T., WANG, X. Y., Lyu, S., & Bo, S. (2026) · Behavioral Sciences · doi:10.3390/bs16071232
“A substantial body of research supports the notion that SVA is associated with social anxiety, which in turn is associated with reduced sleep duration and lower sleep quality among adolescents (Du et al., 2026; L. Jiang & Yoo, 2024; Zhai et al., 2024).”
InfluentialGuo, Y., Zhou, X., 蒙秉昶, Xu, H., & Kang, J. (2026) · Geriatric Nursing · doi:10.1016/j.gerinurse.2026.104200
Hung, Hung, M.-T., You, Y., & Smith, C. S. (2026) · Current Psychology · doi:10.1007/s12144-026-09867-z · Cited by 1 · see citing works
“Similarly, Jiang and Yoo (2024) reported that social anxiety mediates the relationship between short-video addiction and sleep problems among adolescents.”
InfluentialHuang, X., Li, L., & Liang, L. (2026) · Current Psychology · doi:10.1007/s12144-026-09930-9
“…reduce anxiety (Olayiwola-Adedoja & Naidoo, 2025; Wang et al., 2024), which is a well-established psychological risk factor for problematic social media use and internet addiction (Akbari et al., 2021; Jiang & Yoo, 2024; Qu et al., 2024; Shannon et al., 2022; Sun et al., 2025; Zhang et al., 2024).”
Chen, Y., Zhang, Z., Yan, C., Xu, C., Guo, Z., Liang, Z., Wang, J., & Liu, Y. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1834197
“…excessive use of short video platforms has often been criticized for diminishing people ’ s attention span and cognitive depth, potentially leading to issues such as student depression (5), instant grati fi cation dependence (6), social anxiety (7), vision impairment (8), and sleep disturbances (9).”
Cazenave, M., & Bonnaire, C. (2026) · Pratiques Psychologiques · doi:10.1016/j.prps.2026.06.002
Wang, X., Zeng, Y., Liu, X., Yang, W., Liu, Y., Chen, X., Wang, Y., Lou, Y., & Shao, Y. (2026) · Healthcare · doi:10.3390/healthcare14172748
“Unlike gaming, which typically involves goal-oriented, task-completion cycles, short-video consumption is characterised by fragmented viewing, frequent task-switching, and high emotional arousal—features that may uniquely affect sleep, ocular surface, and mental health [4].”
An Explainable Multimodal Framework for Adolescent Short Video Addiction Risk PredictionPreprint
Bian, Q. (2026) · Research Square · doi:10.21203/rs.3.rs-10478440/v1
Chen, Y., Ma, X., Wang, N., Li, G., Liang, D., Yuan, A., Xiang, L., Long, S., Luo, J., & Liu, Y. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1958164
Zhang, H., Wenxue, Z., & Tang, L. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2026.1955608
Yin, T., Peng, Y., Chen, L., Wang, Z., Liu, X., Xie, C., & Gao, Z. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1929181
Zhang, L., Gelin, H., & Jiang, X. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1855722
Zhou, T., Liu, T., & Liu, Z. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2026.107962
- Authors
- Jiang, L., & Yoo, Y.
- Affiliations
- Yantai University (CN)
- Chonnam National University (KR)
- Corresponding author
- Jiang, Li
- ORCID
- Jiang, Li
- Venue
- BMC Psychology
- Published
- 2024-06-28
- Volume
- 12
- Issue
- 1
- Pages
- 369-369
- ISSN
- 2050-7283 (ISSN-L)
- PMC
- PMC11214215
- OpenAlex
- W4400116010
- Semantic Scholar
- 38cd997b5b257f9b9b4643d5a077d1a221f84765
- Cited by
- 76
- References
- 26
- Citations by year
- 2026: 45 · 2025: 27 · 2024: 4
- FWCI
- 54.51
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- BMC Psychology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Social Sciences › Education › Child Development and Digital Technology
- Keywords
- short-form video addiction, sleep quality, social anxiety, adolescents, mediating effect, sleep disorders, screen time
- MeSH terms
- Internet Addiction Disorder, Sleep Quality, Adolescent, Adolescent Behavior, Anxiety, Cross-Sectional Studies, Female, Humans, Male, Surveys and Questionnaires, Sleep Wake Disorders
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