Background <p>Adolescent screen exposure is increasing, yet clinically interpretable thresholds for cognitive risk are unclear. This study examined associations between daily screen time and cognitive screening performance and derived a screen-time cutoff associated with cognitive impairment.</p> Methods <p>We conducted an observational cross-sectional study (March–April 2022) at a private junior high school in Indonesia during online learning. Students completed digital questionnaires reporting educational and recreational screen time and a directly reported overall estimate; a computed overall (educational + recreational) was generated to assess reporting consistency. Cognitive function was assessed using the MoCA-Ina, with &lt; 24 as the primary impairment threshold based on recent psychometric evidence favoring lower cutoffs for improved classification accuracy.</p> Results <p>Sixty-seven adolescents were included (34 girls, 50.7%; 33 boys, 49.3%), with median age 13.0 years (12.0–16.0) and median MoCA-Ina 25.0 (19.0–31.0). MoCA-Ina did not differ by sex (girls 25.0 [19.0–31.0] vs. boys 26.0 [20.0–30.0]; <i>p</i> = 0.244). Recreational screen time correlated inversely with MoCA-Ina (ρ = −0.446, <i>p</i> &lt; 0.001), as did overall screen time (ρ = −0.360, <i>p</i> = 0.003), whereas educational screen time was not associated (ρ = −0.061, <i>p</i> = 0.624). In adjusted regression, overall screen time remained negatively associated with MoCA-Ina (β = −0.24 per hour/day; 95% CI − 0.41 to − 0.07; <i>p</i> = 0.007), while age was positively associated (β = 0.96; 95% CI 0.07 to 1.85; <i>p</i> = 0.034). All variance inflation factors were below 2.5, indicating no substantial multicollinearity. ROC analysis showed fair discrimination (AUC 0.66; optimism-corrected AUC after bootstrap internal validation [1,000 resamples]: 0.63) with an optimal cutoff &gt; 8.97&#xa0;h/day (sensitivity 83.3%, specificity 48.8%, PPV 47.6%, NPV 84.0%); risk of impairment was higher above the cutoff (RR 2.98; 95% CI 1.15–7.72; <i>p</i> = 0.010; OR 4.77; 95% CI 1.40–16.31).</p> Conclusions <p>High daily screen exposure was associated with poorer cognitive screening performance. The &gt; 8.97-hour/day threshold represents a preliminary, hypothesis-generating cutoff that may help identify adolescents at elevated likelihood of cognitive impairment, pending external validation in larger, more diverse samples.</p> Trial registration <p>071/K-LKJ/ETIK/II/2022.</p>

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Screen time patterns and cognitive screening outcomes (MoCA-Ina) in adolescents: a cross-sectional study

  • Pricilla Yani Gunawan,
  • Andraina Andraina,
  • Jeremiah Hilkiah Wijaya,
  • Yang Yang Endro Arjuna,
  • Patricia Yulita Gunawan

摘要

Background

Adolescent screen exposure is increasing, yet clinically interpretable thresholds for cognitive risk are unclear. This study examined associations between daily screen time and cognitive screening performance and derived a screen-time cutoff associated with cognitive impairment.

Methods

We conducted an observational cross-sectional study (March–April 2022) at a private junior high school in Indonesia during online learning. Students completed digital questionnaires reporting educational and recreational screen time and a directly reported overall estimate; a computed overall (educational + recreational) was generated to assess reporting consistency. Cognitive function was assessed using the MoCA-Ina, with < 24 as the primary impairment threshold based on recent psychometric evidence favoring lower cutoffs for improved classification accuracy.

Results

Sixty-seven adolescents were included (34 girls, 50.7%; 33 boys, 49.3%), with median age 13.0 years (12.0–16.0) and median MoCA-Ina 25.0 (19.0–31.0). MoCA-Ina did not differ by sex (girls 25.0 [19.0–31.0] vs. boys 26.0 [20.0–30.0]; p = 0.244). Recreational screen time correlated inversely with MoCA-Ina (ρ = −0.446, p < 0.001), as did overall screen time (ρ = −0.360, p = 0.003), whereas educational screen time was not associated (ρ = −0.061, p = 0.624). In adjusted regression, overall screen time remained negatively associated with MoCA-Ina (β = −0.24 per hour/day; 95% CI − 0.41 to − 0.07; p = 0.007), while age was positively associated (β = 0.96; 95% CI 0.07 to 1.85; p = 0.034). All variance inflation factors were below 2.5, indicating no substantial multicollinearity. ROC analysis showed fair discrimination (AUC 0.66; optimism-corrected AUC after bootstrap internal validation [1,000 resamples]: 0.63) with an optimal cutoff > 8.97 h/day (sensitivity 83.3%, specificity 48.8%, PPV 47.6%, NPV 84.0%); risk of impairment was higher above the cutoff (RR 2.98; 95% CI 1.15–7.72; p = 0.010; OR 4.77; 95% CI 1.40–16.31).

Conclusions

High daily screen exposure was associated with poorer cognitive screening performance. The > 8.97-hour/day threshold represents a preliminary, hypothesis-generating cutoff that may help identify adolescents at elevated likelihood of cognitive impairment, pending external validation in larger, more diverse samples.

Trial registration

071/K-LKJ/ETIK/II/2022.