Concurrent Validity of Self-Reported Social Media Use in Adolescents and Young Adults: Associations with Objective Data and Psychosocial Functioning

Steele, Ric G.; Khetawat, Devanshi; Christofferson, Jennifer; Hall, Jeffrey A.

doi:10.1007/s10862-022-10013-9

Cited by 5 publications

(6 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, it is quite possible that gender differences have not (yet) developed in our younger sample. In contrast to a study comparing adolescents with adults (Steele et al, 2023), we did not find evidence for the congruence of subjective and objective measures to vary across age in our study. However, we examined participants in late childhood to early adolescence, hence, a relatively small developmental stage, with comparably few children aged 14 years.…”

Section: Discussioncontrasting

confidence: 99%

“…Furthermore, there are recent attempts to investigate whether the biases in subjective estimates of social media use are systematic (e.g., Boyle et al, 2022; Burnell et al, 2021; Johannes et al, 2021). Thus, Boyle and colleagues (2022) found females to report their social media use less accurately than males, and Steele and colleagues (2023) found adolescents to overestimate their usage to a greater degree than adults. Furthermore, there is evidence for heavier social media users to be less accurate in their subjective estimates than lighter users (e.g., Facebook; Burnell et al, 2021; Sewall et al, 2020).…”

Section: The Present Studymentioning

confidence: 97%

“…And fifth, we investigated whether the discrepancy between subjective and objective reports was systematic. Building on previous research, we examined participants’ gender (Boyle et al, 2022; Burnell et al, 2021), age (Burnell et al, 2021; Steele et al, 2023), the Big Five personality traits (Burnell et al, 2021; Liu & Campbell, 2017; Prasad et al, 2018), and general amount of use of respective social media platforms (Burnell et al, 2021; Sewall et al, 2020) as potential person-level variables as well as daily boredom (Dora et al, 2021; Johannes et al, 2021) as a potential state that might predict higher or lower congruence of subjective and objective social media use. Furthermore, in an exploratory manner, we investigated whether daily active or passive social media use were associated with higher or lower congruence.…”

Section: The Present Studymentioning

confidence: 99%

See 2 more Smart Citations

How Accurately Do Children Indicate Their Smartphone Social Media Use?

Irmer,

Schmiedek

2023

Zeitschrift für Psychologie

View full text Add to dashboard Cite

Empirical research revealed that subjective time estimates of social media use show rather low accuracy as compared to objective log measures of use. The present work examined a different subjective measure, that is, intensity of use indicated on a 5-point scale and tested its congruence with an objective measure. A daily diary study with 200 children (103 female; Mage = 11.71, SDage = 1.02) was conducted, with children reporting their daily subjective and objective smartphone use of Instagram, TikTok, and YouTube. On the between-person and within-person level, subjective and objective use of the three social media platforms were positively associated with each other, with explained variance (based on pseudo- R2) ranging from 77% to 95% on between-person levels and from 36% to 58% on within-person levels. Furthermore, we identified person-level variables and daily characteristics of social media use that were linked to higher or lower congruence of subjective and objective measures.

show abstract

Section: Discussioncontrasting

confidence: 99%

Section: The Present Studymentioning

confidence: 97%

Section: The Present Studymentioning

confidence: 99%

See 1 more Smart Citation

How Accurately Do Children Indicate Their Smartphone Social Media Use?

Irmer,

Schmiedek

2023

Zeitschrift für Psychologie

View full text Add to dashboard Cite

show abstract

“…for digital media use were moderately correlated with devicebased estimates of screen time 24 but were similarly or more predictive of mental health outcomes. [25][26][27] Family and Childhood Characteristics Measures of family and childhood characteristics are detailed in the eMethods in Supplement 1. Parents reported on sociodemographic characteristics (sex, racialized groups, and household income) and parental mental health (history of depression, any vs none, and antisocial behaviors in adolescence, range, 0-5) when children were 5 months or 2.5 years old.…”

Section: Key Pointsmentioning

confidence: 99%

Trajectories of Adolescent Media Use and Their Associations With Psychotic Experiences

Paquin,

Ferrari,

Rej

et al. 2024

JAMA Psychiatry

View full text Add to dashboard Cite

ImportanceAdolescent media use is thought to influence mental health, but whether it is associated with psychotic experiences (PEs) is unclear.ObjectiveTo examine longitudinal trajectories of adolescent media use and their associations with PEs at 23 years of age.Design, Setting, and ParticipantsThis cohort study included participants from the Québec Longitudinal Study of Child Development (1998-2021): children who were born in Québec, Canada, and followed up annually or biennially from ages 5 months through 23 years. Data were analyzed between January 2023 and January 2024.ExposuresParticipants reported their weekly amount of television viewing, video gaming, computer use, and reading at ages 12, 13, 15, and 17 years.Main Outcome and MeasuresLifetime occurrence of PEs was measured at 23 years of age. Covariables included sociodemographic, genetic, family, and childhood characteristics between ages 5 months and 12 years.ResultsA total of 1226 participants were included in the analyses (713 [58.2%] female, 513 [41.8%] male). For each media type, latent class mixed modeling identified 3 group-based trajectories, with subgroups following trajectories of higher use: television viewing, 128 (10.4%); video gaming, 145 (11.8%); computer use, 353 (28.8%); and reading, 140 (11.4%). Relative to lower video gaming, higher video gaming was preceded by higher levels of mental health and interpersonal problems at age 12 years. Adjusting for these risk factors mitigated the association between higher video gaming and PEs at age 23 years. The curved trajectory of computer use (189 [15.4%] participants), characterized by increasing levels of use until age 15 years followed by a decrease, was associated with higher PEs (estimated difference, +5.3%; 95% CI, +1.5% to +9.3%) relative to lower use (684 [55.8%] participants). This association remained statistically significant after covariable adjustment.Conclusions and RelevanceThis study found that longitudinal trajectories of media use during adolescence were modestly associated with PEs at age 23 years, likely reflecting the influence of shared risk factors. Understanding the environmental determinants and psychosocial functions of media use during adolescence may help better integrate digital technologies in the prevention and management of PEs.

show abstract

“…2 PSMU in adolescents has been linked with poor sleep quality, low self-esteem, symptoms of depression, anxiety, and stress, and low mental well-being. [3][4][5][6][7][8] In measuring PSMU, some studies used adolescents' self-reported SMU as a defining element, 9,10 whereas others employed scales or diagnostic criteria established from research on addiction. [11][12][13] These techniques facilitated an understanding of the subjective experiences of adolescents while identifying those who fit certain criteria for problematic use.…”

Section: Introductionmentioning

confidence: 99%

Problematic social media use and overweight/obesity: explanatory pathway analysis of 124 667 in‐school adolescents in 39 high‐income countries

Oduro,

Katey,

Morgan

et al. 2023

Pediatric Obesity

View full text Add to dashboard Cite

SummaryBackgroundThe relationship between adolescent problematic social media use (PSMU) and overweight/obesity and the potential explanatory pathways for this association are unclear. This study (1) examined the relationship between PSMU and overweight/obesity and (2) evaluated potential explanatory pathways for this association.MethodsThe data used in this study came from the 2018 Health Behaviour in School‐aged Children (HBSC) survey. A sample of 124 667 in‐school adolescents from 39 high‐income countries was analysed. Sequential logistic regressions were used to estimate the association between PSMU and overweight/obesity. Pathway analysis using a non‐parametric bootstrapping technique tested the hypothesized mediating roles.ResultsThe multivariable logistic regressions indicated that higher problematic social media users were 1.11 times more likely to be overweight/obese compared with those who reported low PSMU (AOR = 1.11; 95% CI = 1.05–1.18). Our bootstrapping mediation analyses showed that PSMU indirectly influenced overweight/obesity through breakfast skipping, life satisfaction, family communication, self‐rated health, and physical activity, accounting for 19.8% (β = 0.0068, Boots 95% CI = 0.0056–0.0074), 15.1% (β = 0.0050, Boots 95% CI = 0.0046–0.0056), 9.2% (β = 0.0031, Boots 95% CI = 0.0024–0.0038), 7.8% (β = 0.0024, Boots 95% CI = 0.001–0.004), and 5.2% (β = 0.0017, Boots 95% CI = 0.0014–0.0023), respectively, of the total effect.ConclusionTo the best of our knowledge, this is the first study that used nationally representative data from multiple countries in high‐income countries to examine the association between PSMU and overweight/obesity and potential explanatory pathways among school‐going adolescents. This finding has important implications for public health interventions to reduce overweight/obesity rates among young people.

show abstract

Concurrent Validity of Self-Reported Social Media Use in Adolescents and Young Adults: Associations with Objective Data and Psychosocial Functioning

Cited by 5 publications

References 47 publications

How Accurately Do Children Indicate Their Smartphone Social Media Use?

How Accurately Do Children Indicate Their Smartphone Social Media Use?

Trajectories of Adolescent Media Use and Their Associations With Psychotic Experiences

Problematic social media use and overweight/obesity: explanatory pathway analysis of 124 667 in‐school adolescents in 39 high‐income countries

Contact Info

Product

Resources

About