Studying Psychopathology in Relation to Smartphone Use: From Self-reports to Objectively Measured Smartphone Use Behavior

Rozgonjuk, Dmitri; Elhai, Jon D.; Hall, Brian J.

doi:10.1007/978-3-030-98546-2_14

Cited by 2 publications

(1 citation statement)

References 113 publications

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“…However, recent research in digital technology use has demonstrated the discrepancy between self-reports and tracked data [ 10 , 16 ]. In the context of the study, „tracked data“ refers to data about participants' smartphone and Instagram usage obtained directly from their devices through built-in tracking applications [ 17 ]. These applications monitor and record the amount of time participants spend on their smartphones overall, as well as the specific duration of their Instagram use [ 18 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

Smartphone and Instagram use, body dissatisfaction, and eating disorders: investigating the associations using self-report and tracked data

Rozgonjuk,

Ignell,

Mech

et al. 2023

J Eat Disord

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Background Previous research has linked smartphone and Instagram use to higher body dissatisfaction (BD) as well as eating disorder (ED) symptomatology. However, these studies have typically been limited to using self-report measures for technology use which, as shown by scientific literature, might not be reliable. In the present work, we combine self-reported assessments as well as tracked smartphone and Instagram use. Methods The effective sample comprised N = 119 women (34 with ED diagnosis history) who were queried about BD and ED symptomatology, and who provided the data about their smartphone and Instagram use duration for each day of the previous week. Results The study results show that women with an ED diagnosis history scored higher on both BD as well as ED scales. Although women with an ED diagnosis history had higher smartphone screen time, there were no statistically significant differences in Instagram screen time. Tracked smartphone use duration was positively correlated with both BD and ED symptomatology, but the role of Instagram use needs to be further elucidated. Conclusions The results of this study show that while BD and ED symptomatology are correlated with smartphone use, it may be that Instagram use is not the main contributor to that relationship.

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Section: Introductionmentioning

confidence: 99%

Smartphone and Instagram use, body dissatisfaction, and eating disorders: investigating the associations using self-report and tracked data

Rozgonjuk,

Ignell,

Mech

et al. 2023

J Eat Disord

Self Cite

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Testing the validity of the smartphone pervasiveness scale for adolescents with self-reported objective smartphone use data

Chakraborty,

Gui,

Gerosa

et al. 2024

DIGITAL HEALTH

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An ongoing and heated scientific debate pertains to the conceptualization and quantification of adolescents’ problematic smartphone use (PSU). To address the limitations of existing surveys, the smartphone pervasiveness scale for adolescents (SPS-A) has been designed to measure the subjective frequency of smartphone usage during significant moments within daily routines. Given the weak correlations in prior literature between self-reported PSU metrics and objective use data, this study investigates the relationships between diverse self-reported objective metrics of smartphone engagement—that is duration, frequency, and count of notifications—and the SPS-A scale, employing a cohort of Swiss adolescents ( N = 1396; Mage = 15.8, SDage = 0.81; 59% female). The findings reveal a substantial correlation between the total objectively measured duration of smartphone engagement and the SPS-A scale ( r = .41 for iOS users and r = .42 for Android users). Moreover, a similar trend emerges as users are categorized by their level of objective use, with each category displaying a linear augmentation in smartphone pervasiveness levels. Instead, modest correlations emerge when considering the quantity of device unlocks and notifications. Noteworthy, no gender disparities emerged. These results add to our knowledge about the usefulness of the concept and measurement of smartphone pervasiveness: not only the SPS-A is a valid alternative to scales on “smartphone addiction” to capture non-pathological PSU, but it is also a better predictor of smartphone objective duration of use than self-reported measures. The correlation found between self-reported pervasiveness and actual use is discussed in light of the debate about the relevance of screen time in the study of PSU.

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Studying Psychopathology in Relation to Smartphone Use: From Self-reports to Objectively Measured Smartphone Use Behavior

Cited by 2 publications

References 113 publications

Smartphone and Instagram use, body dissatisfaction, and eating disorders: investigating the associations using self-report and tracked data

Smartphone and Instagram use, body dissatisfaction, and eating disorders: investigating the associations using self-report and tracked data

Testing the validity of the smartphone pervasiveness scale for adolescents with self-reported objective smartphone use data

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