Abstract

BackgroundDaydreaming is a normal cognitive phenomenon in which the individual experiences a temporary separation from reality during which contact with reality is compromised and, to some extent, replaced by a visionary fantasy. On the other hand, daydreaming can progress to a maladaptive state, known as maladaptive daydreaming. The aim of this study was to help understand the full scope of maladaptive daydreaming among medical students at the University of Khartoum, in Sudan, by displaying all maladaptive daydreaming-related statistics among studied population. An analytical cross-sectional university-based study was conducted during the academic year 2020–2021, using a total of 323 self-administered online questionnaires; the questionnaire containing the Arabic Version of Maladaptive Daydreaming Scale and other sociodemographic data were given by stratified random selection to undergraduate medical students at the University of Khartoum, in Sudan, between December and January 2021.Results34.3% of medical students at the University of Khartoum have identified themselves as maladaptive daydreamers. More males were found to be maladaptive daydreamers when compared to female medical students. The average Maladaptive Daydreaming Scale score among medical students was found to be 33.6 (sd=22.3). No significant correlation was found between Maladaptive Daydreaming Scale score and gender, and there was a significant correlation between the MDS score and the academic class of medical students at University of Khartoum.ConclusionsMaladaptive daydreaming was discovered to have a significant impact on the population of medical students at the University of Khartoum, with some alarming rates and correlations among medical students; having more than one-third of total medical students found to be having MD must surely indicate a much larger and more widespread problem. A multifactorial holistic approach covering biological, psychological, social, and academic aspects must be used when hypothesizing the justification for these findings and planning an active intervention strategy.

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