Associations between symptoms of problematic smartphone, Facebook, WhatsApp, and Instagram use: An item-level exploratory graph analysis perspective

Rozgonjuk, Dmitri; Sindermann, Cornelia; Elhai, Jon D.; Christensen, Alexander P.; Montag, Christian

doi:10.1556/2006.2020.00036

Cited by 56 publications

(33 citation statements)

References 75 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In the present study, it is contended (and supported by empirical studies) that social media content is largely responsible for the attentional drift associated with frequent and prolonged smartphone engagement among young adults (95,96). A smartphone is therefore viewed as the medium providing access to the desired content reflecting the attachment formed to the device among young adults (97)(98)(99)(100)(101)(102)(103) and intensified by experiences of nomophobia (NOMO; the fear of being without a smartphone) (104)(105)(106)(107) and FOMO (29,108,109). However, the assessment of the relative role of process smartphone use and its relationship to smartphone distraction requires further exploration.…”

Section: Smartphone Distraction and Relevant Psychological Constructsmentioning

confidence: 64%

Exploring the Dimensions of Smartphone Distraction: Development, Validation, Measurement Invariance, and Latent Mean Differences of the Smartphone Distraction Scale (SDS)

et al. 2021

View full text Add to dashboard Cite

Background: Distraction is a functional emotion regulation strategy utilized to relieve emotional distress. Within the attention economy perspective, distraction is increasingly associated with digital technology use, performance impairments and interference with higher-order cognitive processes. Research on smartphone distraction and its association with problematic smartphone use is still scarce and there is no available psychometric assessment tool to assess this cognitive and emotive process parsimoniously.Method: The present study reports the development and evaluation of the psychometric properties of the Smartphone Distraction Scale (SDS) through exploratory and confirmatory factor analysis, construct validity, gender invariance, and latent mean differences. The study was conducted in a sample of British university students (N = 1,001; M = 21.10 years, SD = 2.77).Results: The 16-item SDS was best conceptualized in a four-factor model solution comprising attention impulsiveness, online vigilance, emotion regulation, and multitasking. Construct validity was established using relevant psychosocial and mental health measures, with SDS scores being moderately associated with deficient self-regulation and problematic social media use. Gender measurement invariance was achieved at the configural, metric, and scalar levels, and latent mean differences indicated that females had significantly higher means than males across all four SDS latent factors.Discussion: The SDS presents with several strengths, including its theoretical grounding, relatively short length, and sound psychometric properties. The SDS enables the assessment of distraction, which appears to be one of the pathways to problematic smartphone use facilitating overuse and overreliance on smartphones for emotion regulation processes. The assessment of distraction in relation to problematic use in vulnerable populations may facilitate interventions that could encourage metacognition and benefit these groups by allowing sustained productivity in an increasingly disrupted work and social environment.

show abstract

Section: Smartphone Distraction and Relevant Psychological Constructsmentioning

confidence: 64%

Exploring the Dimensions of Smartphone Distraction: Development, Validation, Measurement Invariance, and Latent Mean Differences of the Smartphone Distraction Scale (SDS)

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Future research should adopt a longitudinal design to further examine the temporal role of key mechanisms underlying PSMU. Another potential limitation in the present study relates to the self-report methodology used, which is likely to have generated well-known biases and unreliable estimations of participants' objective social media use (Rozgonjuk et al, 2020c). Consequently, it is of high interest to also record behavior directly due to time distortions participants experience while using technology (e.g., Lin et al, 2015;Montag et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

Exploring the Role of Social Media Use Motives, Psychological Well-Being, Self-Esteem, and Affect in Problematic Social Media Use

et al. 2020

Self Cite

View full text Add to dashboard Cite

Given recent advances in technology, connectivity, and the popularity of social media platforms, recent literature has devoted great attention to problematic Facebook use. However, exploring the potential predictors of problematic social media use beyond Facebook use has become paramount given the increasing popularity of multiple alternative platforms. In this study, a sample of 584 social media users (Mage = 32.28 years; 67.81% female) was recruited to complete an online survey assessing sociodemographic characteristics, patterns, and preferences of social media use, problematic social media use (PSMU), social media use motives, psychological well-being, self-esteem, and positive and negative affect. Results indicated that 6.68% (n = 39) of all respondents could be potentially classed as problematic users. Moreover, further analysis indicated that intrapersonal motive (β = 0.38), negative affect (β = 0.22), daily social media use (β = 0.18), surveillance motive (β = 0.12), and positive affect (β = −0.09) each predicted PSMU. These variables accounted for about 37% of the total variance in PSMU, with intrapersonal motive driving the greatest predictive contribution, over and above the effects of patterns of social media use and sociodemographic variables. These findings contribute to the increasing literature on PSMU. The results of this study are discussed in light of the existing literature on PSMU.

show abstract

“…They also tend to experience a high level of daily stress and often try to escape it by intensive use of SM (Primack et al 2017). Therefore, previous studies described them to be at enhanced risk for the potential negative consequences of SMU and for the development of problematic usage tendencies (e.g., Andreassen et al 2017;Rozgonjuk et al 2020). It has been argued that there is an increased need to focus on the mental health of this specific group, to control and to reduce its SMU (Brailovskaia et al 2020b).…”

Section: Introductionmentioning

confidence: 99%

The patterns of problematic social media use (SMU) and their relationship with online flow, life satisfaction, depression, anxiety and stress symptoms in Lithuania and in Germany

Brailovskaia

Truskauskaitė‐Kunevičienė

Kazlauskas

et al. 2021

Curr Psychol

View full text Add to dashboard Cite

The present study investigated problematic social media use (SMU) in Lithuania and in Germany. In two student samples (Lithuania: N = 1640; Germany: N = 727), problematic SMU, flow experienced during SMU, life satisfaction, depression, anxiety and stress symptoms were assessed by online surveys. Latent Class Analysis resulted in a four-group classification of participants due to their levels of problematic SMU characteristics: low-symptom, low-withdrawal, high-withdrawal, and high-symptom. The proportion of participants in the low-symptom group was significantly higher in Germany than in Lithuania. In contrast, significantly more Lithuanian participants belonged to both withdrawal groups. No significant country differences were found for the composition of the high-symptom group. In both countries, a series of Structural Equation Models showed that the level of flow, depression, anxiety and stress symptoms was the highest in the high-symptom group, and the lowest in the low-symptom group. Life satisfaction revealed the reversed result pattern. The current findings show that students from Lithuania and Germany can be grouped considering their problematic SMU level. Individuals in the four groups differ due to their level of mental health. Especially members of the high-symptom group might benefit from external controlling strategies of their time spent on SM, while members of the withdrawal groups are suggested to train their SMU self-control.

show abstract

Associations between symptoms of problematic smartphone, Facebook, WhatsApp, and Instagram use: An item-level exploratory graph analysis perspective

Cited by 56 publications

References 75 publications

Exploring the Dimensions of Smartphone Distraction: Development, Validation, Measurement Invariance, and Latent Mean Differences of the Smartphone Distraction Scale (SDS)

Exploring the Dimensions of Smartphone Distraction: Development, Validation, Measurement Invariance, and Latent Mean Differences of the Smartphone Distraction Scale (SDS)

Exploring the Role of Social Media Use Motives, Psychological Well-Being, Self-Esteem, and Affect in Problematic Social Media Use

The patterns of problematic social media use (SMU) and their relationship with online flow, life satisfaction, depression, anxiety and stress symptoms in Lithuania and in Germany

Contact Info

Product

Resources

About