Screen time and psychopathology: investigating directionality using cross-lagged panel models.

Introduction

Children and adolescents are likely using more digital screens during the COVID-19 pandemic, raising parental concern over digital screens effects on mental health. Previous evidence on the topic has been controversial: some studies have associated more screen time with lower well-being in children and adolescents [1], whereas other studies found no convincing evidence that spending time on digital screens might be harmful [2]. Furthermore, this effect has been found mostly in girls than in boys [3].

However, the available evidence is mostly from cross-sectional studies, preventing investigators from understanding the directionality of such associations and excluding reverse causality, i.e., that increased levels of psychopathology lead to increased screen time. Our study investigates the bidirectional associations between screen time and psychopathology (general, internalizing and externalizing), using a longitudinal design using data from a large school-based sample in both boys and girls.

Methods

A total of 2511 children/adolescents from the Brazilian High-Risk Cohort for Psychiatry Disorders (BHRCS) and their parents were assessed in two timepoints 3-years apart (baseline and follow-up). The BHRCS is a school-based cohort from the cities of São Paulo and Porto Alegre, with one subgroup selected based on a high-risk score for psychiatric disorders (n = 1554) and another subgroup randomly selected (n = 957). This study was approved by the ethics committee of the University of São Paulo (IRB registration number: 1132/08). For more information about sampling see Salum et al. [4]. Children and adolescents had a mean age of 10.4 years-old at baseline (min–max 5.8–14.4) and 13.7 (min–max 9.2–17.9) at follow-up. 1375 (54.8%) were boys and 1256 (50.1%) were from São Paulo while others were from Porto Alegre. Participant's characteristics are shown in Table 1.

Table 1

Participant and variable characteristics

		Baseline		3-year follow-up
	Valid N	Mean (sd)	Min–Max	Valid N	Mean (sd)	Min–Max
Age (years)	2511	10.2 (1.9)	5.8–14.4	2010	13.5 (1.9)	9.2–17.9
CBCL: Total CBCL scores	2511	17.2 (16.1)	0–101	2010	14.6 (15.0)	0–90
Screen Time (hours/day)	2267	3.5 (1.87)	0–12	1861	3.9 (2.77)	1–15

Crude scores for psychopathology (CBCL) are presented to inform about the variables’ characteristics on the sample. From the total participants, 54.8% were boys and 50% were from São Paulo

CBCL Child Behavior Checklist

Daily screen time (e.g. time spent in front of computer, television and others) was obtained by asking the parent or the primary caregiver "How many hours a day does the child spend in front of the television, using the computer and playing video games on average"? Responses were given in total numbers of hours. Since baseline data was acquired in 2010, mobile devices were not included. Psychopathology was measured by the Child Behavior Checklist, using bifactor models to estimate a measure of overall psychopathology (the “p” factor) with two residualized dimensions of internalizing and externalizing psychopathology [5].

Data were analyzed using Cross-Lagged Panel Models (CLPM). First, we conducted factor analyses to assess the latent structure of psychopathology. We then used factor scores from measures of psychopathology to test for bidirectional effects between psychopathology and screen time through CLPM in baseline and 3-year follow-up assessments. Data analysis was performed using the lavaan package from R [6]. Total number subjects without missing data in both time points were 1617 and missings were accounted for using full information maximum likelihood. Five subjects were excluded due to implausible values in screen time (> 15 h). Given previous evidence showed sex-differences in the association between screen time and psychopathology, we also tested whether associations varied by sex.

Results

Mean screen time was 3.41 (sd = 1.91) at baseline and 3.95 (sd = 2.66) at follow-up. Cross-sectional correlations between screen time and psychopathology were significant, but modest, at both time points (baseline: r = 0.103, p < 0.001; follow-up: r = 0.134, p < 0.001). Cross-lagged models aiming to estimate directional effects between baseline and follow-up showed that higher overall psychopathology at baseline predicted higher screen time at follow-up (β = 0.144, p < 0.001), but that screen time did not significantly predict psychopathology (β = 0.020, p = 0.073), Fig. 1. Screen time was predicted by internalizing (β = 0.316, p < 0.001) but not by externalizing symptoms (β = − 0.067, p = 0.242), Supplemental Fig. 1a, b. Internalizing symptoms predicted screen time significantly in both sexes (β girls = 0.374, p < 0.001; β boys = 0.177, p = 0.034), although this effect was stronger in girls than in boys (t = 1.98, p = 0.047). Externalizing symptoms did not significantly predict screen time in boys (β = 0.190, p = 0.074) nor in girls (β = − 0.102, p = 0.093).

Fig. 1

Cross-Lagged Panel Models for bidirectional associations between screen time and psychopathology at baseline and follow-up. Beta coefficients from cross-model regressions between the two-timepoints are shown, as well as from cross-lagged covariance at each time point. **p < 0.001, *p < 0.05

Discussion

Our results showed that higher psychopathology at baseline predisposes to higher screen time in follow-up. Therefore, higher use of screens by children and adolescents could be a result of psychopathology, rather than a cause. Psychopathology effects on screen time were observed mostly for internalizing symptoms and for girls while externalizing symptoms were not significant. Most effect sizes detected in the study were of a small magnitude.

Other studies have called attention to the modest associations between screen time and mental well-being [2]. Previous longitudinal studies found no influence of screen time [7] or only a modest influence [8] on mental health problems. Our cross-lagged association was also modest for general psychopathology, but stronger for internalizing symptoms, especially in girls. The main finding of the current study, however, is not the association itself, but its directionality.

Our study has important strengths. First, we make use of a longitudinal design with measurements on screen time and psychopathology on both timepoints using models that can disentangle the directionality of association. Second, the sample was ascertained by the community, decreasing the change of several sorts of selection bias when participants are selected by social media. However, it also has important limitations. Screen time was characterized by a single variable assessed by parental reports in a questionnaire. Furthermore, our measure is somewhat specific to time spent on television, computer and videogames and does not include other screens that were not common at the time the cohort started.

In conclusion, we demonstrate a causal association between psychopathology and screen time in the opposite direction of common sense. Public health policies on screen restriction might be ineffective by not considering this reverse causality, in which screen time could be an indicator but not a cause of psychopathology.

Below is the link to the electronic supplementary material.

Supplementary file1 Supplemental Figure. Cross-Lagged Panel Models for bidirectional associations between screen time and internalizing or externalizing symptoms at baseline and follow-up. Beta coefficients from cross-model regressions between the two-timepoints are shown, as well as from cross-lagged covariance at each time point. **p < 0.001, *p < 0.05. (PNG 121 KB)

Supplementary file2 (PNG 124 KB)