2022
DOI: 10.21203/rs.3.rs-1133140/v1
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Associations of Smartphone Addiction, Chronotype, Sleep Quality, and Risk Of Eating Disorders Among University Students: A Cross-Sectional Study

Abstract: Purpose With smartphone addiction’s (SA) increasing prevalence among young adults, there is a growing concern about its adverse effects on distorted dietary and lifestyle behaviors, including disturbed sleeping and eating patterns. We aim to study the prevalence of SA risk, poor sleeping quality, evening chronotype, and eating disorders (ED) risk among university students in the UAE. We also aim to assess the associations between them, emphasizing the one between ED and SA risks. Methods In this cross-sectio… Show more

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Cited by 2 publications
(10 citation statements)
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“…According to (Table 1) the results show statistical distribution of study sample by their socio-demographic data, it explains that the highest percentage of the students' subgroup are (Age ,Gender, Residence , Marital status , Monthly income, Family number ,Specialty, college , stage of college ,BMI ). Throughout the course of the data analysis of the current research, the results appear the highest percentage of the age students' subgroup are : students with ages between (18-22) years old with (72.6 %) the reason is that most college students often ranged (18)(19)(20)(21)(22) and this difference was due to the study community. this result agree with previous study that performed by ( 10) where the ages of the students ranged between 18-22 years and the percentage for them was (79.3%).…”
Section: Discussionmentioning
confidence: 69%
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“…According to (Table 1) the results show statistical distribution of study sample by their socio-demographic data, it explains that the highest percentage of the students' subgroup are (Age ,Gender, Residence , Marital status , Monthly income, Family number ,Specialty, college , stage of college ,BMI ). Throughout the course of the data analysis of the current research, the results appear the highest percentage of the age students' subgroup are : students with ages between (18-22) years old with (72.6 %) the reason is that most college students often ranged (18)(19)(20)(21)(22) and this difference was due to the study community. this result agree with previous study that performed by ( 10) where the ages of the students ranged between 18-22 years and the percentage for them was (79.3%).…”
Section: Discussionmentioning
confidence: 69%
“…The studied samples included 380 student from al qadesiyah university. The statistical distribution of study sample by their socio-demographic data, it explains that the highest percentage of the students' subgroup are: students with ages between (18)(19)(20)(21)(22) years old (72.6 %), female students (55.3 %) ; those living in urban areas (75 %), and those who are single (81.1 %), those with roughly sufficient monthly income (41.6 %), those living with (2-8) family member (73.9), those who are studying in pure science specialty was (48.2 %) , those who are studying in science college (18.2).…”
Section: Resultsmentioning
confidence: 99%
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