Sociodemographic influences on Student Mental Health and their association with activation-regulating functional impairments.

Higher smartphone and electronic device usage hours were positively correlated with worse activation dysfunction scores.

• Study used a cross-sectional self-reported design with 1204 participants
• The validated Arabic version of the activation dysexecutive questionnaire was used
• The correlation between hours spent using smartphones or electronic devices and dysfunction scores was statistically significant (p < 0.05 implied by formula notation in abstract)
• Participants were university students, predominantly Generation Z

Greater frequency of weekly fast food consumption was positively correlated with higher activation dysfunction scores.

• Number of weekly fast food consumption times was identified as a significant factor associated with worse activation dysfunction
• This was among several Generation Z-related habits found to be associated with impaired activation-regulating functions
• The association was statistically significant as reported in the abstract
• The study collected self-reported dietary behavior data alongside the activation dysexecutive questionnaire

Use of more social media platforms and more daily hours on social media were both associated with worse activation dysfunction scores.

• Number of social media platforms used was significantly associated with higher dysfunction scores
• Daily hours spent on social media was also significantly correlated with worse symptoms
• Both factors were categorized as Generation Z-related habits in the study
• These findings were based on self-reported data from 1204 university students

Increasing weekly hours of exercising or playing sports was correlated with lower activation dysfunction scores.

• Weekly exercise/sports hours showed a statistically significant inverse relationship with dysfunction scores
• Participating in sports and exercising also had a positive impact specifically on the activation subscale score
• The protective effect of physical activity was identified as a significant finding among university students
• This finding was identified both as a continuous variable (weekly hours) and as a categorical behavior (participation in sports)

Weak relationships with extended family were associated with worse activation dysfunction scores, while strong family relationships were associated with better scores.

• Weak relationships with extended family were significantly associated with higher (worse) activation dysfunction scores
• Strong relationships with extended family were associated with lower activation dysfunction scores
• Living with parents was also positively associated with better activation levels
• These family-related variables were among several sociodemographic factors examined in the study

Previous consultations with a psychologist or psychiatrist were associated with worse activation dysfunction scores.

• Prior mental health consultation history was a statistically significant predictor of higher activation dysfunction scores
• This factor may reflect pre-existing mental health conditions rather than a causal effect of consultation
• The finding was identified among other sociodemographic contributors to activation dysfunction
• Data on mental health consultation history were self-reported by the 1204 student participants

Specific family income groups, GPA groups, area of living, and parental divorce were each significantly associated with activation dysfunction scores.

• Family income group membership was significantly associated with activation dysfunction
• GPA group was significantly associated with activation dysfunction scores
• Area of living (residential location) was a significant contributing factor
• Parental divorce was identified as a statistically significant sociodemographic factor associated with worse activation dysfunction

Activation-regulating functional impairments were assessed using the validated Arabic version of an activation dysexecutive questionnaire in a cross-sectional study of 1204 university students.

• The study employed a self-reported cross-sectional design
• The total sample consisted of 1204 participants
• The validated Arabic version of the activation dysexecutive questionnaire was the primary measurement instrument
• Demographic information and data on potential influencing factors were collected alongside the questionnaire
• Activation-regulating functions include task initiation, sustained attention, planning, and prioritization as grounded in Executive Function Theory, Self-Regulation Theory, and the Dysexecutive (DEX) Framework