2017
DOI: 10.1016/j.chb.2017.07.022
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Anxiety-inducing Facebook behavior is associated with higher rates of upper respiratory infection in college-aged users

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Cited by 14 publications
(12 citation statements)
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“…College students' stressors have been typically grouped into three major categories: academic pressure [16][17][18][19], social and interpersonal pressure [20,21], and environmental pressure [22,23]. Specifically, this study focuses on academic workload (representing academic pressure), separation from school (representing social and interpersonal pressure), and fear of contagion (representing environment pressure).…”
Section: Three Stressors Among College Students During the Covid-19 Omentioning
confidence: 99%
“…College students' stressors have been typically grouped into three major categories: academic pressure [16][17][18][19], social and interpersonal pressure [20,21], and environmental pressure [22,23]. Specifically, this study focuses on academic workload (representing academic pressure), separation from school (representing social and interpersonal pressure), and fear of contagion (representing environment pressure).…”
Section: Three Stressors Among College Students During the Covid-19 Omentioning
confidence: 99%
“…Chronic stress can suppress protective immune responses and/or exacerbate pathological immune responses [73, 74]. Higher reported stress levels [75, 76], short sleep duration (< 6 or 7 hours/night) and poor sleep continuity [77, 78], depression [79], and anxiety [80] are all associated with higher susceptibility to acute infectious illness (e.g., common cold, pneumonia).…”
Section: Resultsmentioning
confidence: 99%
“…Preventive CAM Strategies. Several preventive CAM strategies aim to reduce stress, insomnia, depression, and anxiety that are linked to an increased susceptibility to infections [7780]. CAM prevention includes often promotion of a rhythmic lifestyle [71, 82] in order to support general physiological recovery.…”
Section: Resultsmentioning
confidence: 99%
“…Factors threatening mental health and well-being approached Internet use mainly from the problematic/addictive perspective including evidence with broad concept of poor mental health and well-being ( Tangmunkongvorakul et al , 2019 ; Tenzin et al , 2018 ; Zhou et al, 2020 ; Hou et al , 2019 ; Lattie et al , 2019 ). Some of the articles also specified the factors in more detail, for example: distress ( Al-Gamal et al , 2015 ; Mamun et al , 2020 ; Gedam et al , 2017 ); depression ( Khalil et al , 2016 , Othman and Lee, 2017 , Peterka-Bonetta et al , 2019 ; Younes et al, 2016 ; Iwamoto and Chun, 2020 ; Gedam et al , 2017 ; Tao et al , 2017 ; Asibong et al , 2020 ; Chupradit et al , 2020 ; Haand and Shuwang, 2020 ; Pang, 2020 ; Visnjic et al , 2018 ); anxiety ( Younes et al , 2016 ; Campisi et al , 2017 ; Iwamoto and Chun, 2020 ; Asibong et al , 2020 ; Panova et al , 2020 ; Gedam et al , 2017 ); stress ( Younes et al , 2016 ; Campisi et al , 2017 ; Liu et al , 2017 ; Iwamoto and Chun, 2020 ; Unsar et al , 2020 ); social anxiety ( Weinstein et al, 2015 ); fear of missing out or FOMO ( Lattie et al , 2019 ; Pang, 2020 ); low happiness ( Kitazawa et al , 2019 ) and increase in suicide risk ( Alpaslan et al , 2015 ; Kurt, 2015 ; Poorolajal et al , 2019 ).…”
Section: Resultsmentioning
confidence: 99%