AI on Loss in Decision-Making and Its Associations With Digital Disorder, Socio-Demographics, and Physical Health Outcomes in Iran

Abstract

This study aimed to explore the connections between digital disorder, socio-demographics, physical health outcomes, and artificial intelligence (AI) on decision-making loss. The study relied on data from 550 people in Isfahan, Iran. The results showed that while decision-making loss was slightly more prevalent in females than males, this difference was not statistically significant. However, individuals aged between 26-35 showed a significant correlation with decision-making loss, while other age groups did not. Neither education level nor employment status demonstrated significant associations with decision-making loss, nor did the frequency of device use affect it either. Participants who experienced decision-making loss scored significantly higher on digital disorder overall score and specific indicators, such as addiction to social media and the internet, compared to those who did not. They also reported higher scores on various physical health outcomes related to device usage.

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