Cited by 60Impact of Technology on AdolescentsSexuality, Behavior, and TechnologyDigital Media and Philosophy

Social media addiction: associations with attachment style, mental distress, and personality

Open access
Eichenberg, Christiane, Schneider, Raphaela, Rumpl, Helena·2024·BMC Psychiatry

Abstract

Background: Social media bring not only benefits but also downsides, such as addictive behavior. While an ambivalent closed insecure attachment style has been prominently linked with internet and smartphone addiction, a similar analysis for social media addiction is still pending. This study aims to explore social media addiction, focusing on variations in attachment style, mental distress, and personality between students with and without problematic social media use. Additionally, it investigates whether a specific attachment style is connected to social media addiction. Methods: Data were collected from 571 college students (mean age = 23.61,SD = 5.00, 65.5% female; response rate = 20.06%) via an online survey administered to all enrolled students of Sigmund Freud PrivatUniversity Vienna. The Bergen Social Media Addiction Scale (BSMAS) differentiated between students addicted and not addicted to social media. Attachment style was gauged using the Bielefeld Partnership Expectations Questionnaire (BFPE), mental distress by the Brief Symptom Inventory (BSI-18), and personality by the Big Five Inventory (BFI-10). Results: Of the total sample, 22.7% of students were identified as addicted to social media. For personality, it was demonstrated that socially media addicted (SMA) students reported significantly higher values on the neuroticism dimension compared to not socially media addicted (NSMA) students. SMA also scored higher across all mental health dimensions—depressiveness, anxiety, and somatization. SMA more frequently exhibited an insecure attachment style than NSMA, specifically, an ambivalent closed attachment style. A two-step cluster analysis validated the initial findings, uncovering three clusters: (1) secure attachment, primarily linked with fewer occurrences of social media addiction and a lower incidence of mental health problems; (2) ambivalent closed attachment, generally associated with a higher rate of social media addiction and increased levels of mental health problems; and (3) ambivalent clingy attachment, manifesting a medium prevalence of social media addiction and a relatively equitable mental health profile. Conclusions: The outcomes are aligned with previous research on internet and smartphone addiction, pointing out the relevance of an ambivalent closed attachment style in all three contexts. Therapeutic interventions for social media addiction should be developed and implemented considering these findings.

AI snapshot

Written from the paper’s full text.

TL;DR

This cross-sectional online survey of 571 university students found that 22.7% were classified as addicted to social media, and those students reported higher neuroticism, more mental distress, and more insecure—especially ambivalent closed—attachment than non-addicted students. The authors conclude that an ambivalent closed attachment style is relevant to social media addiction, as previously found for internet and smartphone addiction.

Key findings

  • Of 571 students, 131 (22.7%) were classified as social media addicted (SMA) using the BSMAS cutoff of 19/30; SMA were 79.39% female versus 61.36% female among non-addicted (NSMA).
  • SMA scored significantly higher on neuroticism (M = 3.40, SD = 0.85) than NSMA (M = 3.00, SD = 0.85; U = 20636.50, Z = −5.02, p < .001), but did not differ on extraversion (SMA M = 3.56, SD = 0.85 vs. NSMA M = 3.58, SD = 0.94; U = 28408.5, Z = −0.25, p = .801).
  • SMA reported higher depression (M = 7.93, SD = 5.25 vs. M = 3.06, SD = 3.59), anxiety (M = 6.18, SD = 5.34 vs. M = 2.92, SD = 3.61), and somatization (M = 3.60, SD = 4.02 vs. M = 1.82, SD = 2.48), all p < .001.
  • Insecure attachment was disproportionately associated with SMA (χ²(1) = 9.28, p = .002, C = 0.13), and among five attachment styles, ambivalent closed had disproportionately more SMA (corrected residual = 4.8; χ²(4) = 30.75, p < .001, C = 0.24). A three-cluster solution identified secure attachment (lowest addiction), ambivalent clingy attachment (medium addiction), and ambivalent closed attachment (highest addiction).

Methods

  • Data came from an online survey administered to all enrolled students at Sigmund Freud PrivatUniversity Vienna from January to March 2021; final sample was 571 students (mean age = 23.61, SD = 5.00; 65.5% female; response rate = 20.06%).
  • Social media addiction was measured with the Bergen Social Media Addiction Scale (BSMAS), attachment style with the Bielefeld Partnership Expectations Questionnaire (BFPE), mental distress with the Brief Symptom Inventory (BSI-18), and personality with the Big Five Inventory (BFI-10).
  • Analyses used SPSS version 27, including Mann-Whitney U tests, chi-square tests, and a two-step cluster analysis with BIC and silhouette measures to determine and validate cluster number.

Limitations

  • The paper states that data are self-reported in an online survey, with possible self-selection bias; the sample is not representative due to narrow age distribution and educational level, and female students contributed disproportionately.
  • The paper states the design is cross-sectional, so temporal or causal directions cannot be established, and future studies should check participants’ psychiatric history.
  • The paper notes that the non-binary gender category was omitted from cluster analysis because of very small case numbers; this is stated in the text.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1186/s12888-024-05709-z

Cites

60 of 60 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

22 of 73 cited sources checked · 10 supported · 0 flagged · accuracy not yet measured

  • Premisecitation

    An ambivalently attached style is particularly relevant in both problematic smartphone and problematic internet usage contexts.

    “Notably, an ambivalently attached style was identified as particularly relevant in both contexts.”
    Quote in the paperSubstantial claim2 of 2 sources checked
    • cites [34] Eichenberg C, Schott M, Schroiff A. Comparison of students with and without problematic smartphone use in light of attachment style. Front Psychiatry. 2019;10:681. source

      The Results and Discussion identify the ambivalent-closed attachment style as especially associated with problematic smartphone use. The Discussion reports a relationship between Internet addiction and insecure attachment generally, but does not identify an ambivalent style as particularly relevant to Internet addiction. (LLM, conf=0.87)

      Experimental — accuracy not yet measured
    • cites [36] Eichenberg C, Schott M, Decker O, Sindelar B. Attachment style and internet addiction: an online survey. J Med Internet Res. 2017;19:e170. source

      The Discussion (Principal Findings; page unavailable) says ambivalent attachment styles were particularly associated with pathological Internet use. The paper does not establish the same association for problematic smartphone use, so it supports only the Internet-use context. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
  • Findingown data

    The total sample showed higher somatization levels than a norm sample.

    “The total sample showed in comparison with a norm sample high levels of each of the three dimensions of depression (M = 4.18; SD = 4.52 vs. Mnorm=1.27; SDnorm=2.5, Franke et al. 2017) (t(570) = 15.40, p <.001), anxiety (M = 3.67; SD = 4.30, vs. Mnorm=1.09; SDnorm=2.1, ibd.) (t(570) = 14.35, p <.001), and somatization (M = 2.23, SD = 3.00, vs. Mnorm=0.70; SDnorm=14.8, ibd.) (t(570) = 12.18, p <.001”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Franke et al. 2017 source

      Table 2 (Results; page unavailable) reports a somatization mean of 0.70 for the representative sample’s 25–34-year-old subgroup, below the citing paper’s reported mean of 2.23. It does not give 0.70 as the mean for the entire norm sample; Table 1 gives that sample’s mean as 1.46. Table 2 also gives the subgroup SD as 1.8, not the cited 14.8. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
  • Findingown data

    The total sample showed higher depression levels than a norm sample.

    “The total sample showed in comparison with a norm sample high levels of each of the three dimensions of depression (M = 4.18; SD = 4.52 vs. Mnorm=1.27; SDnorm=2.5, Franke et al. 2017) (t(570) = 15.40, p <.001), anxiety (M = 3.67; SD = 4.30, vs. Mnorm=1.09; SDnorm=2.1, ibd.) (t(570) = 14.35, p <.001), and somatization (M = 2.23, SD = 3.00, vs. Mnorm=0.70; SDnorm=14.8, ibd.) (t(570) = 12.18, p <.001”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Franke et al. 2017 source
  • Study design and conductcitation

    A cutoff score of 19 out of 30 on the BSMAS was adopted for classifying social media addiction.

    “As suggested by a substantial Hungarian study involving 6000 adolescents [20], a cutoff score of 19 out of 30 was adopted.”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [20] Bányai F, Zsila Á, Király O, Maraz A, Elekes Z, Griffiths MD, et al. Problematic social media use: results from a large-scale nationally representative adolescent sample. PLoS ONE. 2017;12:e0169839. source
  • Findingown data

    The total sample showed higher anxiety levels than a norm sample.

    “The total sample showed in comparison with a norm sample high levels of each of the three dimensions of depression (M = 4.18; SD = 4.52 vs. Mnorm=1.27; SDnorm=2.5, Franke et al. 2017) (t(570) = 15.40, p <.001), anxiety (M = 3.67; SD = 4.30, vs. Mnorm=1.09; SDnorm=2.1, ibd.) (t(570) = 14.35, p <.001), and somatization (M = 2.23, SD = 3.00, vs. Mnorm=0.70; SDnorm=14.8, ibd.) (t(570) = 12.18, p <.001”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Franke et al. 2017 source

      Table 2 (Results > Factorial validity; page unavailable) reports an anxiety mean of 1.09 (SD 2.1), but only for participants aged 25–34 in the representative German sample. Table 1 reports 1.44 (SD 2.59) for the full sample. The cited paper supplies the quoted reference value, but the citing sentence presents an age-specific value as though it described the norm sample overall; the comparison with the citing authors’ sample is their own analysis. (LLM, conf=0.86)

      Experimental — accuracy not yet measured
  • May combine two claims. 32
  • Classified as probably not a substantial claim. 41
  • The quote only partly states this claim. 1
  • May combine two claims.

    Premisecitation

    Insecure attachment style is correlated with problematic smartphone usage and problematic internet usage.

    “Supporting this, Eichenberg et al. [34] showed that insecure attachment style is correlated with problematic smartphone usage and problematic internet usage [36].”
    Quote in the paperSubstantial claim2 of 2 sources checked
    • cites Eichenberg et al. [34] Eichenberg C, Schott M, Schroiff A. Comparison of students with and without problematic smartphone use in light of attachment style. Front Psychiatry. 2019;10:681. source
    • cites [36] Eichenberg C, Schott M, Decker O, Sindelar B. Attachment style and internet addiction: an online survey. J Med Internet Res. 2017;19:e170. source

      The Results section reports that insecurely attached participants had significantly greater Internet addiction tendencies than securely attached participants. The paper does not report an association between attachment style and problematic smartphone use; its measures concern Internet use and Web-based services. (LLM, conf=0.90)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The BSMAS has repeatedly been reported with high internal consistency.

    “The scale was repeatedly reported with high internal consistency, e.g., α = 0.97 [46] and α = 0.82 (at baseline) plus α = 0.86 (at follow-up) [10].”
    Quote in the paperNot a substantial claim2 of 2 sources checked
    • cites [46] Monacis L, Palo VD, Griffiths MD, Sinatra M. Validation of the internet gaming disorder scale– short-form (IGDS9-SF) in an italian-speaking sample. J Behav Addictions. 2016;5:683–90. source

      The Methods > Measures section (page unavailable) reports very good internal consistency for the Bergen Social Networking Addiction Scale (BSNAS), with Cronbach’s α = .88; a Results table labels the scale BSMAS. The paper does not report α = .97 or baseline and follow-up values of .82 and .86, so it supports the general reliability point but not the cited figures or repeated measurements. (LLM, conf=0.86)

      Experimental — accuracy not yet measured
    • cites [10] Chen I-H, Strong C, Lin Y-C, Tsai M-C, Leung H, Lin C-Y, et al. Time invariance of three ultra-brief internet-related instruments: Smartphone Application-based addiction scale (SABAS), Bergen Social Media Addiction Scale (BSMAS), and the nine-item internet gaming disorder scale- short form (IGDS-SF9) (Study Part B). Addict Behav. 2020;101:105960. source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Kuss and Griffiths relate extraversion more to older individuals and openness more to younger ones.

    “The contrasting findings presented by Kuss and Griffiths [29] relate extraversion more to older individuals and openness more to younger ones.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Kuss and Griffiths [29] Kuss DJ, Griffiths MD. Online social networking and addiction—a review of the psychological literature. IJERPH. 2011;8:3528–52. source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The BSI-18 has a three-factor structure.

    “Confirmatory analyses confirm the three-factor structure [48].”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites [48] Franke GH, Jaeger S, Glaesmer H, Barkmann C, Petrowski K, Braehler E. Psychometric analysis of the brief symptom inventory 18 (BSI-18) in a representative German sample. BMC Med Res Methodol. 2017;17:14. source

      The Abstract Results say confirmatory factor analysis supported the BSI-18’s three scales. However, they also say model fit was good by RMSEA but too low by CFI and TLI; the Results’ Factorial validity section reports those low values. Saying the analyses unqualifiedly ‘confirm’ the structure overstates the mixed fit evidence. (LLM, conf=0.85)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingcitation

    The prevalence rate of 22.8% lies within the literature reported prevalence of the BSMAS (<10-40%).

    “Prevalence rate of social media addiction (22.8%) lies within the literature reported prevalence of the used instrument (BSMAS), since Chen et al. [10] specify < 10–40% for the BSMAS.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Chen et al. [10] Chen I-H, Strong C, Lin Y-C, Tsai M-C, Leung H, Lin C-Y, et al. Time invariance of three ultra-brief internet-related instruments: Smartphone Application-based addiction scale (SABAS), Bergen Social Media Addiction Scale (BSMAS), and the nine-item internet gaming disorder scale- short form (IGDS-SF9) (Study Part B). Addict Behav. 2020;101:105960. source

      The results (p. 15) report BSMAS-based rates of 10.2% in Hong Kong participants and 21.7% in Taiwanese participants. The paper does not specify the attributed literature range of <10–40%, and 22.8% is above both rates it reports. (LLM, conf=0.83)

      Experimental — accuracy not yet measured
  • May combine two claims.

    Premisecitation

    The BSMAS has a single-factor structure and invariance across three months among young adults.

    “Chen et al. [10] confirm the single-factor structure of the scale, report only medium correlations with scales close to the construct (SABAS/smartphone addiction, IGDS-SF9/internet gaming disorder, r =.06 and 0.42), and showed invariance across three months among young adults.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Chen et al. [10] Chen I-H, Strong C, Lin Y-C, Tsai M-C, Leung H, Lin C-Y, et al. Time invariance of three ultra-brief internet-related instruments: Smartphone Application-based addiction scale (SABAS), Bergen Social Media Addiction Scale (BSMAS), and the nine-item internet gaming disorder scale- short form (IGDS-SF9) (Study Part B). Addict Behav. 2020;101:105960. source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Other studies have shown a positive correlation between internet addiction and general anxiety levels in students.

    “Other studies have shown a positive correlation between internet addiction and general anxiety levels in students [59, 60].”
    Quote in the paperNot a substantial claim2 of 2 sources checked
    • cites [59] Azher M, Khan RB, Salim M, Bilal M, Hussain A, Haseeb M, et al. The relationship between internet addiction and anxiety among students of University of Sargodha. Int J Humanit Social Sci. 2014;4:288–93. source

      The Introduction and Conclusions discuss the portrayal of war in cinema, not a relationship between internet addiction and anxiety in students. Searches for “internet addiction general anxiety levels students positive correlation” and “student anxiety internet addiction correlation” found no passage addressing the claim; page numbers were not available in our copy. (LLM, conf=0.78)

      Experimental — accuracy not yet measured
    • cites [60] Younes F, Halawi G, Jabbour H, El Osta N, Karam L, Hajj A, et al. Internet addiction and relationships with insomnia, anxiety, depression, stress and self-esteem in University students: a cross-sectional designed study. PLoS ONE. 2016;11:e0161126. source
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

    Interpretationcitation

    It is plausible that the social-compensatory component is particularly influential in this context when it comes to social media.

    “It’s plausible that the social-compensatory component is particularly influential in this context when it comes to social media [34].”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites [34] Eichenberg C, Schott M, Schroiff A. Comparison of students with and without problematic smartphone use in light of attachment style. Front Psychiatry. 2019;10:681. source

      The Discussion proposes that social compensation plays a significant role in excessive smartphone use. The Introduction links smartphones’ social-network functions to their addictive potential, but the paper does not specifically assess whether social compensation is particularly influential for social media use. (LLM, conf=0.84)

      Experimental — accuracy not yet measured
  • The quote only partly states this claim.

    Findingown data

    Of the total sample of 571 college students, 22.7% (131) were classified as addicted to social media.

    “Of the total sample, 22.7% of students were identified as addicted to social media.”
    • Also stated in: § Social media addiction · hedged
      “A total of 131 people (22.7% of the total sample) could be classified as addicted to social media.”
    Quote in the paperNot a substantial claim
    • The authors state this as an assumption: Social media addiction is a meaningful construct that can be measured by the BSMAS despite not being officially recognized in diagnostic classification systems.
  • May combine two claims.

    Findingown data

    A secure attachment cluster was primarily linked with fewer occurrences of social media addiction and a lower incidence of mental health problems.

    “(1) secure attachment, primarily linked with fewer occurrences of social media addiction and a lower incidence of mental health problems;”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    An ambivalent closed attachment cluster was generally associated with a higher rate of social media addiction and increased levels of mental health problems.

    “(2) ambivalent closed attachment, generally associated with a higher rate of social media addiction and increased levels of mental health problems;”
    Quote in the paperSubstantial claim
    • The authors state this as an assumption: Social media addiction is a meaningful construct that can be measured by the BSMAS despite not being officially recognized in diagnostic classification systems.
  • May combine two claims.

    Findingown data

    An ambivalent clingy attachment cluster manifested a medium prevalence of social media addiction and a relatively equitable mental health profile.

    “(3) ambivalent clingy attachment, manifesting a medium prevalence of social media addiction and a relatively equitable mental health profile.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The ambivalent closed attachment cluster is typically marked by a higher frequency of social media addiction and elevated levels of mental health problems.

    “(b) ambivalent closed attachment, typically marked by a higher frequency of social media addiction and elevated levels of mental health problems;”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Findingown data

    The ratio for the change from 2 to 3 clusters is 0.512.

    “Even if the ratio for the change from 2 to 3 clusters is 0.512, the ratio of distance measures that indicates how distinct the clusters are from each other is for the 3-cluster solution still 1.780, which suggests that the 3-cluster solution is equally well-defined compared to the 2-cluster solution.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    The distribution of age and gender was relatively even.

    “The distribution of age (Table 4) and gender (Table 5) was relatively even.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingnone given

    SMA differ from NSMA in their usage of social media, exhibiting higher values in usage frequency, time spent, and perceived importance.

    “SMA differ from NSMA in their usage of social media, exhibiting higher values in usage frequency, time spent, and perceived importance.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    SMA scored significantly higher on all three levels-depressiveness, anxiety, and somatization-than NSMA.

    “Further, SMA scored significantly higher on all three levels—depressiveness, anxiety, and somatization—than the group of NSMA, i.e., social media addicted users are comparatively more mentally stressed.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingnone given

    The ambivalent clingy attachment cluster presents a moderate incidence of social media addiction and a relatively balanced mental health profile.

    “(c) ambivalent clingy attachment, presenting a moderate incidence of social media addiction and a relatively balanced mental health profile.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Two-step cluster analysis revealed three predominant clusters, chiefly characterized by three attachment styles and varying levels of social media addiction.

    “Two-step cluster analysis yielded a holistic insight into the collective grouping of cases by these variables. It corroborated the findings of the univariate analyses, revealing three predominant clusters, chiefly characterized by three attachment styles and varying levels of social media addiction:”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The secure attachment cluster is predominantly associated with fewer instances of social media addiction and lower prevalence of mental health problems.

    “(a) secure attachment, predominantly associated with fewer instances of social media addiction and lower prevalence of mental health problems;”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    SMA report higher levels of comparison with others, dissatisfaction with their own body (especially when exposed to idealized online images), and negative self-esteem when interacting with influencers.

    “They also report higher levels of “comparison with others”, “dissatisfaction with their own body (especially when exposed to idealized online images)”, and “negative self-esteem when interacting with influencers”.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Findingnone given

    SMA use social media for a broader range of purposes compared to NSMA.

    “Moreover, SMA use social media for a broader range of purposes compared to NSMA.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    The secure attachment (SA) cluster (N=140) is characterized by individuals who are slightly extroverted, less neurotic, and show lower levels of depression, anxiety, and somatization.

    “The Cluster secure attachment (SA) (N = 140) is characterized by individuals who are slightly extroverted, less neurotic, and show lower levels of depression, anxiety, and somatization.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The ambivalent closed attachment (AVA) cluster (N=231) is slightly introverted, more neurotic, and exhibits higher levels of depression and anxiety.

    “The Cluster ambivalent closed attachment (AVA) (N = 231) is slightly introverted, more neurotic, and exhibits higher levels of depression and anxiety.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    Cluster analysis did not reveal any conspicuous distribution for gender.

    “Cluster analysis did not reveal any conspicuous distribution for gender either.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Results here confirm the positive correlation, adding to this research corpus also heightened somatic symptomatology in social media addicted students.

    “Results here confirm the positive correlation adding to this research corpus also heightened somatic symptomatology in social media addicted students.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Cluster analysis identified three clusters with varying susceptibilities to social media addiction: secure attachment lowest likelihood, ambivalent clingy medium, ambivalent closed highest.

    “Cluster analysis supports this interpretation. It identified three clusters with varying susceptibilities to social media addiction: those with secure attachment exhibit the lowest likelihood, those with ambivalent clingy attachment have a medium likelihood, and those with ambivalent closed attachment display the highest likelihood.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationown data

    Students in this sample are generally more mentally stressed, with students addicted to social media being particularly mentally stressed.

    “It can therefore be assumed that students in this sample are generally more mentally stressed, with students who are addicted to social media being particularly mentally stressed.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Müller suggests that Internet addiction correlates with increased neuroticism scores.

    “Moreover, a study by Müller [55] suggests that Internet addiction correlates with increased neuroticism scores.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Müller [55] Müller K. Wer ist gefährdet? Risikofaktoren für Internetsucht. Spielwiese internet. Berlin, Heidelberg: Springer Berlin Heidelberg; 2013. pp. 67–84. source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Blackwell et al. demonstrated that neuroticism predicts social media use.

    “Blackwell et al. [27] demonstrated that neuroticism predicts social media use.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Blackwell et al. [27] Blackwell D, Leaman C, Tramposch R, Osborne C, Liss M. Extraversion, neuroticism, attachment style and fear of missing out as predictors of social media use and addiction. Pers Indiv Differ. 2017;116:69–72. source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The BFPE has good internal consistencies for its scales fear of rejection, readiness for self-disclosure, and conscious need for care.

    “Höger and Buschkämper [53] report good internal consistencies of the scales fear of rejection (Cronbach’s α = 0.88), readiness for self-disclosure (Cronbach’s α = 0.89), and conscious need for care (Cronbach’s α = 0.77).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Höger and Buschkämper [53] Höger D, Buschkämper S. Der Bielefelder Fragebogen zu Partnerschaftserwartungen. Z für Differentielle und Diagnostische Psychologie. 2002;23:83–98. source
  • Classified as probably not a substantial claim.

    Study design and conductown data

    The Bayesian Information Criterion (BIC) was employed as a model selection criterion to identify the optimal number of clusters.

    “For the validation of the derived clustering solution, the Bayesian Information Criterion (BIC) was employed as a model selection criterion to identify the optimal number of clusters.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Marengo et al. did not observe a relationship between social media addiction and extraversion.

    “Marengo et al. [28] align with our findings by not observing a relationship between social media addiction and extraversion.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Marengo et al. [28] Marengo D, Poletti I, Settanni M. The interplay between neuroticism, extraversion, and social media addiction in young adult Facebook users: testing the mediating role of online activity using objective data. Addict Behav. 2020;102:106150. source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Kırcaburun identified a significant positive relationship between depressive symptoms, internet use, and social media addiction.

    “Kırcaburun [57] also identified a significant positive relationship between depressive symptoms, internet use, and social media addiction.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Kırcaburun [57]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Interpretationown data

    The authors opt for the 3-cluster solution because BIC drops more slowly beyond this point, suggesting diminishing returns in model fit and sufficient granular segmentation.

    “Given this information, we opt for the 3-cluster solution, since the BIC drops more slowly beyond this point, suggesting diminishing returns in terms of model fit as more clusters are added and the 3-cluster solution offers a sufficient granular segmentation.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    The survey received approval from the Ethics Commission of the Faculty of Psychotherapy Science and the Faculty of Psychology of the Sigmund Freud University PrivatVienna.

    “The survey received approval from the Ethics Commission of the Faculty of Psychotherapy Science and the Faculty of Psychology of the Sigμund Freud University PrivatVienna.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    The BFI-10 has sufficient construct validity and factorial validity.

    “Rammstedt et al. [51] report sufficient construct validity correlating the BFI-10 with the NEO-PI-R and factorial validity by conducting principal component analyses on a representative sample.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Rammstedt et al. [51] Rammstedt B, Kemper CJ, Klein MC, Beierlein C, Kovaleva A. Eine Kurze Skala Zur Messung Der fünf Dimensionen Der Persönlichkeit: big-five-Inventory-10 (BFI-10). Mannheim: GESIS - Leibniz-Institut für Sozialwissenschaften; 2012. source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The BFI-10 has moderate test-retest reliability after 6 weeks in a student sample.

    “Rammstedt und John [50] report moderate test–retest reliability after 6 weeks in a student sample (agreeableness: rtt = 0.58, neuroticism: rtt = 0.74, conscientiousness: rtt = 0.77, openness to experience: rtt = 0.72, extraversion: rtt = 0.84).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Rammstedt und John [50]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductcitation

    The survey did not deploy open-ended questions concerning usage duration because of evidence that users often overestimate their screen time.

    “In light of evidence suggesting a discrepancy between objective and self-reported usage time—where users often overestimate their screen time [45]—the survey did not deploy open-ended questions concerning usage duration.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [45] Deng T, Kanthawala S, Meng J, Peng W, Kononova A, Hao Q, et al. Measuring smartphone usage and task switching with log tracking and self-reports. Mob Media Communication. 2019;7:3–23. source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    The number of clusters was determined based on the Schwarz Bayesian Criterion (BIC), and the selected model was validated by examining the silhouette measure of cohesion and separation.

    “The number of clusters was determined based on the Schwarz Bayesian Criterion (BIC), and the selected model was further validated by examining the silhouette measure of cohesion and separation.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    The non-binary gender category was omitted from analyses due to very small case number to maintain robustness.

    “To maintain robustness of analyses, the non-binary gender category was omitted due to very small case number.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationcitation

    Given the primary focus on younger participants, the results are consistent with these observations.

    “Given our primary focus on younger participants, our results are consistent with these observations.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    In Kırcaburun's study, the level of depression in adolescents was indirectly influenced by social media addiction; addicts spent more time online, amplifying the risk of depressive symptoms.

    “In his study, the level of depression in adolescents was indirectly influenced by social media addiction; addicts spent more time online, amplifying the risk of depressive symptoms.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Kırcaburun [57]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Individuals with elevated neuroticism scores associate Internet topics with significantly stronger positive arousal compared to a healthy control group.

    “Interestingly, individuals with elevated neuroticism scores associate Internet topics with significantly stronger positive arousal compared to a healthy control group [56].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [56] Wölfling K, Beutel M, Dreier M, Müller K. Risikofaktoren Von Verhaltenssucht: Explizite Persönlichkeitsfaktoren Und Implizite Assoziationsstärken Bei Pathologischem Glücksspiel Und Internetsucht. Suchttherapie. 2015;16:s–0035. source
  • May combine two claims.

    Interpretationown data

    SMA tend to be more emotionally unstable and easily irritable.

    “SMA scored significantly higher on the neuroticism dimension than NSMA, suggesting that they tend to be more emotionally unstable and easily irritable.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Premisecitation

    The ambivalent clinging and closed attachment styles differ primarily in their perceived willingness to open up.

    “The ambivalent clinging and closed attachment styles differ primarily in their perceived willingness to open up.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [53] Höger D, Buschkämper S. Der Bielefelder Fragebogen zu Partnerschaftserwartungen. Z für Differentielle und Diagnostische Psychologie. 2002;23:83–98. source
  • May combine two claims.

    Premisecitation

    Numerous studies have established a connection between an anxious attachment style and both heavy social media use and addiction to it.

    “Numerous studies have established a connection between an anxious attachment style and both heavy social media use [39–41] and addiction to it [42].”
    Quote in the paperNot a substantial claim0 of 4 sources checked
    • cites [39] Jenkins-Guarnieri MA, Wright SL, Hudiburgh LM. The relationships among attachment style, personality traits, interpersonal competency, and Facebook use. J Appl Dev Psychol. 2012;33:294–301. source
    • cites [40] Liu H, Shi J, Liu Y, Sheng Z. The moderating role of attachment anxiety on social network site use intensity and social capital. Psychol Rep. 2013;112:252–65. source
    • cites [41] Oldmeadow JA, Quinn S, Kowert R. Attachment style, social skills, and Facebook use amongst adults. Comput Hum Behav. 2013;29:1142–9. source
    • cites [42] Eroglu Y. Interrelationship between attachment styles and Facebook addiction. J Educ Train Stud. 2016;4:150–60.

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Baltaci highlighted social anxiety as a predictor for social media addiction among university students.

    “Baltaci [23] highlighted social anxiety as a predictor for social media addiction among university students.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Baltaci [23]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    This gender bias has been frequently observed in online surveys.

    “Though, this gender bias has been frequently observed in online surveys [71].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [71] Jackob N, Schoen H, Zerback T, editors. Sozialforschung Im Internet. Wiesbaden: VS Verlag für Sozialwissenschaften; 2009. source
  • Classified as probably not a substantial claim.

    Premisecitation

    The ambivalent closed style exhibits a notably low willingness to open up.

    “The former demonstrates a moderate willingness, allowing for the expression of strong attachment needs associated with the hyperactivated attachment system, while the latter exhibits a notably low willingness to open [53].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [53] Höger D, Buschkämper S. Der Bielefelder Fragebogen zu Partnerschaftserwartungen. Z für Differentielle und Diagnostische Psychologie. 2002;23:83–98. source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationreasoning

    Possible self-selection processes could be of importance since online surveys are prone to an inherent selection bias.

    “So, possible self-selection processes could be of importance since online surveys are prone to an inherent selection bias.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.

    Interpretationreasoning

    This dynamic could exacerbate their acceptance issues, perpetuating a detrimental cycle.

    “This dynamic could exacerbate their acceptance issues, perpetuating a detrimental cycle.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    There is evidence that women are more prone to social media addiction.

    “Which in turn can affect the prevalence of social media addiction since there is evidence that women are more prone to social media addiction [8].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [8] Bischof G, Bischof A, Meyer C, John U, Rumpf HJ. Prävalenz Der Internetabhängigkeit– Diagnostik und Risikoprofile (PINTA-DIARI). Kompaktbericht an das Bundesministerium für Gesundheit (Prevalence of Internet Addiction - Diagnostics and Risk profiles (PINTA-DIARI). Compact report to the Federal Ministry of Health). Lübeck; 2013.

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation

    Wu et al. found that internet addiction correlates with depression in adolescents, exerting direct, mediated, and moderating effects on depression levels.

    “Similarly, Wu et al. [58] found that internet addiction correlates with depression in adolescents, exerting direct, mediated, and moderating effects on depression levels.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Wu et al. [58] Wu AMS, Li J, Lau JTF, Mo PKH, Lau MMC. Potential impact of internet addiction and protective psychosocial factors onto depression among Hong Kong Chinese adolescents– direct, mediation and moderation effects. Compr Psychiatr. 2016;70:41–52. source
  • May combine two claims.

    Interpretationcitation

    The anonymity afforded by the internet allows a new representation of the self to be created, helping this group to compensate for feared problems of acceptance.

    “The anonymity afforded by the internet allows a new representation of the self to be created, helping this group to compensate for feared problems of acceptance (ibid.).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites ibid.

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation

    Secure attachment and high self-esteem can act as protective factors against social media addiction.

    “Conversely, secure attachment and high self-esteem can act as protective factors against such addiction [38].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [38] Demircioğlu ZI, Köse AG. Mediating effects of self-esteem in the relationship between attachment styles and social media addiction among university students. 2020.

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    A study involving Turkish students revealed that insecure attachment styles might serve as risk factors for social media addiction.

    “A study involving Turkish students revealed that insecure attachment styles might serve as risk factors for social media addiction [38].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [38] Demircioğlu ZI, Köse AG. Mediating effects of self-esteem in the relationship between attachment styles and social media addiction among university students. 2020.

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    The data are based on self-reporting in an online survey.

    “It should be noted that the data are based on self-reporting in an online survey.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductcitation

    Response rate is comparable with other online-survey studies.

    “Response rate is comparable with other online-survey studies [70].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [70] Sax LJ, Gilmartin SK, Bryant AN. Assessing response rates and nonresponse bias in web and paper surveys. Res High Educt. 2003;44:409–32. source
  • Classified as probably not a substantial claim.

    Premisecitation

    The ambivalent clinging style demonstrates a moderate willingness to open up, allowing for expression of strong attachment needs associated with the hyperactivated attachment system.

    “The former demonstrates a moderate willingness, allowing for the expression of strong attachment needs associated with the hyperactivated attachment system, while the latter exhibits a notably low willingness to open [53].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [53] Höger D, Buschkämper S. Der Bielefelder Fragebogen zu Partnerschaftserwartungen. Z für Differentielle und Diagnostische Psychologie. 2002;23:83–98. source
  • May combine two claims.

    Interpretationcitation

    This pattern suggests heightened anxiety and a secondary hyperactivating (ambivalent) strategy.

    “This pattern suggests heightened anxiety and a secondary hyperactivating (ambivalent) strategy (ibid.).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites ibid.

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation

    According to Höger and Buschkämper, individuals with an ambivalent attachment style exhibit an increased need for attention and concurrently face heightened acceptance issues.

    “According to Höger and Buschkämper [53], individuals with an ambivalent attachment style exhibit an increased need for attention and concurrently face heightened acceptance issues.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Höger and Buschkämper [53] Höger D, Buschkämper S. Der Bielefelder Fragebogen zu Partnerschaftserwartungen. Z für Differentielle und Diagnostische Psychologie. 2002;23:83–98. source
  • May combine two claims.

    Premisecitation

    Oldmeadow et al. discovered a relationship between anxious attachment and seeking comfort on Facebook, noting an increase in Facebook usage, especially during negative emotional states.

    “Oldmeadow et al. [41] also discovered a relationship between anxious attachment and seeking comfort on Facebook, noting an increase in Facebook usage, especially during negative emotional states.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Oldmeadow et al. [41] Oldmeadow JA, Quinn S, Kowert R. Attachment style, social skills, and Facebook use amongst adults. Comput Hum Behav. 2013;29:1142–9. source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Other research has indicated a mediating effect of attachment style on smartphone addiction.

    “Other research [66, 67] has indicated a mediating effect of attachment style on smartphone addiction.”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [66] Kwan HC, Leung MT. The path model of parenting style, attachment style, self-regulation and smartphone addiction. Applied psychology. Concorde Hotel. Singapore: WORLD SCIENTIFIC; 2015. pp. 196–214. source
    • cites [67] Yelpaze İ. The mediator role of self-control in the relationship between insecure attachment styles and problematic smartphone use in adolescents. Turkish Psychol Couns Guidance J. 2020;10:457–73.

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Interpretationnone given

    This may inadvertently expose SMA users to the pitfalls of social media, such as body dissatisfaction and reduced self-esteem when interacting with influencers.

    “However, this may inadvertently expose SMA users to the pitfalls of social media, such as body dissatisfaction and reduced self-esteem when interacting with influencers.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    The design of the study is cross-sectional.

    “Further, it could be discussed that the design of the study is cross-sectional.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationreasoning

    Based on the data, it appears this new representation of the self is often facilitated through image-focused platforms like Instagram and Pinterest.

    “Based on the data, it appears this new representation of the self is often facilitated through image-focused platforms like “Instagram” and “Pinterest”.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationreasoning

    Such a deficit in openness may prompt compensatory behavior to satiate the intensive need for attention in the manageable environment of the digital world.

    “Such a deficit in openness may prompt compensatory behavior to satiate the intensive need for attention in the manageable environment of the digital world, where any conversation can be terminated with a click.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationreasoning

    This intense attention-seeking behavior seems to find satisfaction through image-centric services on social media, instigating negative comparative processes with others and potentially reinforcing acceptance issues in a self-perpetuating cycle, with mental stress being a substantial correlate.

    “This intense attention-seeking behavior seems to find satisfaction through image-centric services on social media, instigating negative comparative processes with others and potentially reinforcing acceptance issues in a self-perpetuating cycle, with mental stress being a substantial correlate.”
    Quote in the paperSubstantial claim
69 of 69
  • The paper relies on this without support.

    A detailed examination specific to social media addiction of which attachment style is most relevant remains lacking.

    “While research has identified an ambivalent closed insecure attachment style as being significant in the context of internet and smartphone addiction, a detailed examination specific to social media addiction remains lacking.”
  • The authors state this as an assumption.

    Social media addiction is a meaningful construct that can be measured by the BSMAS despite not being officially recognized in diagnostic classification systems.

    “Despite its growing prevalence, social media addiction is yet to be fully acknowledged in diagnostic classification systems. The term “addiction” is therefore only used in this context for the sake of simplicity, as it is not yet officially recognized.”
  • The paper relies on this without support.

    Currently, no studies explore the relationship between an ambivalent closed attachment style and social media addiction.

    “Currently, no studies explore the relationship between an ambivalent closed attachment style and social media addiction.”
3 of 3

Statistics recomputed

Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.

  • Consistentχ²(1) = 9.28reported p = .002 · recomputed p = .002

    “χ2(1) = 9.28, p = .002”

  • Consistentχ²(4) = 30.75reported p < .001 · recomputed p < .001

    “χ2(4) = 30.75, p < .001”

  • Consistentt(570) = -9.23reported p < .001 · recomputed p < .001

    “t(570)=-9.23, p < .001”

  • Consistentt(570) = 23.15reported p < .001 · recomputed p < .001

    “t(570) = 23.15, p < .001”

  • Consistentz = -5.02reported p < .001 · recomputed p < .001

    “Z = -5.02, p < .001”

  • Consistentz = -0.25reported p = .801 · recomputed p = .803

    “Z = − 0.25, p = .801”

  • Consistentt(570) = 15.4reported p < .001 · recomputed p < .001

    “t(570) = 15.40, p < .001”

  • Consistentt(570) = 14.35reported p < .001 · recomputed p < .001

    “t(570) = 14.35, p < .001”

  • Consistentt(570) = 12.18reported p < .001 · recomputed p < .001

    “t(570) = 12.18, p < .001”

  • Consistentz = -10.47reported p < .001 · recomputed p < .001

    “Z = -10.47, p < .001”

  • Consistentz = -7.31reported p < .001 · recomputed p < .001

    “Z = -7.31, p < .001”

  • Consistentz = -5.64reported p < .001 · recomputed p < .001

    “Z = -5.64, p < .001”

12 of 12

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.

  • Conclusion names the opposite attachment style

    Major

    The conclusion identifies avoidant closed attachment as frequently associated with addiction, whereas the results say avoidant closed participants were disproportionately not addicted and ambivalent closed participants were disproportionately addicted.

1 of 1

Cites

Flagged first, then by citations

Research works printed but not linked: 3

  1. Eroglu Y. Interrelationship between attachment styles and Facebook addiction. J Educ Train Stud. 2016;4:150–60.
  2. Kircaburun K, Self-Esteem. Daily internet use and social media addiction as predictors of depression among Turkish adolescents. J Educ Pract. 2016;7:64–72.
  3. Yelpaze İ. The mediator role of self-control in the relationship between insecure attachment styles and problematic smartphone use in adolescents. Turkish Psychol Couns Guidance J. 2020;10:457–73.

Cited by

Sorted by citations

Authors
Eichenberg, C., Schneider, R., & Rumpl, H.
Affiliations
Sigmund Freud Privatuniversität Wien (AT)
Corresponding author
Schneider, Raphaela
Venue
BMC Psychiatry
Published
2024-04-15
Volume
24
Issue
1
Pages
278-278
ISSN
1471-244X (ISSN-L)
OpenAlex
W4394819555
Cited by
60
References
58
Citations by year
2026: 23 · 2025: 30 · 2024: 7
FWCI
43.77
Type
journal article
Language
en
Open access
Locations
  • BMC Psychiatry (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PubMed Central (submittedVersion, cc-by)
  • 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 › Clinical Psychology › Sexuality, Behavior, and Technology
  • Physical Sciences › Computer Science › Computer Science Applications › Digital Media and Philosophy
Keywords
social media addiction, attachment styles, ambivalent attachment, insecure attachment, psychological distress, neuroticism, personality, university students, Bergen Social Media Addiction Scale, Brief Symptom Inventory, Big Five personality traits
MeSH terms
Internet Addiction Disorder, Adult, Anxiety, Anxiety Disorders, Female, Humans, Male, Personality, Personality Disorders, Behavior, Addictive, Young Adult, Social Media

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-17.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-17.

Cited sources are checked by gpt-6-sol.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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