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Impact of the COVID-19 pandemic on student' sleep patterns, sexual activity, screen use, and food intake: A global survey

Ara E; Lusher J; Aly NM; Ezechi O; Osamika BE; Yousaf MA; Ellakany P; Khalid Z; Roque M; Nzimande NP; Khan AT; Al-Tammemi AB; Shamala A; Abeldaño GF; Jafer M; Quadri MFA; Ayanore MA; Virtanen JI; Gaffar B; Brown B; Folayan MO.; Zuñiga RAA; Nguyen AL; Uzochukwu B; Ishabiyi AO; Al-Khanati NM; Lawal FB; El Tantawi M

Impact of the COVID-19 pandemic on student' sleep patterns, sexual activity, screen use, and food intake: A global survey

Ara E
Lusher J
Aly NM
Ezechi O
Osamika BE
Yousaf MA
Ellakany P
Khalid Z
Roque M
Nzimande NP
Khan AT
Al-Tammemi AB
Shamala A
Abeldaño GF
Jafer M
Quadri MFA
Ayanore MA
Virtanen JI
Gaffar B
Brown B
Folayan MO.
Zuñiga RAA
Nguyen AL
Uzochukwu B
Ishabiyi AO
Al-Khanati NM
Lawal FB
El Tantawi M
Katso/Avaa
PLoS One 2022.pdf (360.8Kb)
Lataukset: 

doi:10.1371/journal.pone.0262617
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Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2022021619570
Tiivistelmä

Background: The education sector experienced substantial impacts during the COVID-19 pandemic resulting from worldwide restrictions.

Purpose: To examine differences in the sleep patterns, sexual activity, screen use, and food intake of students and non-students during the COVID-19 pandemic.

Methods: This was a global cross-sectional study conducted in the second half of 2020 using multiple social media platforms to recruit study participants globally. A close-ended questionnaire was administered anonymously in English, French, Spanish, Portuguese, and Arabic to adults ages 18 and older. The outcome variables considered in analyses were changes in sleep pattern, sexual activity, screen use, and food intake. The explanatory variable was student status categorized as students vs. non-student. T-test, chi-square, and Mann Whitney U tests were used to assess differences between student and non-student populations. One logistic regression model was built for each outcome variable. Country of residence and country income level were included in the adjusted models.

Results: There were 17,008 participants of which 3,793 (22.3%) were students. Of the total sample, 4,889 (28.7%) reported changes in sleep, 4,642 (31.8%) reported increases in sexual activity, 10,278 (70.7%) reported increases in screen use, and 5,662 (40.2%) reported increases in food intake during the pandemic. Compared to non-students, students had significantly higher odds of reporting changes in sleep (AOR = 1.52), increases in sexual activity (AOR = 1.79), and increases in screen use (AOR = 1.36) but lower odds of reporting increase in food intake (AOR = 0.87).

Conclusion: Students displayed higher risk of experiencing changes in sleep, sexual behavior, and screen use during the COVID-19 pandemic. This has the potential to lead to broader adverse effects on students' overall wellbeing. The findings and implications raise further obligations on the education sector to put extra-curricular support systems in place that address COVID-19 related behavior changes that have the potential to adversely impact students' wellbeing.

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