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To what extent does sleep quality mediate the relationship between social media use before bedtime and symptoms of depression among 18-30 year old people?

Hartlieb, R. (2022) To what extent does sleep quality mediate the relationship between social media use before bedtime and symptoms of depression among 18-30 year old people?

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Abstract:Using social media while laying in bed before sleeping can influence the sleep quality and depressive symptoms of 18-30 year old young adults. For example, cyber-mobbing is commonly present on social media. All popular social medias are considered (Facebook, Snapchat, Instagram etc.). It is hypothesized, that there is an effect of social media usage on depressive symptoms, with sleep quality involved as a mediator. To test this, the Pennsylvania Sleep Quality Index (PSQI) for measuring sleep quality and the Patient Health questionnaire9 (PHQ-9) for measuring depressive symptoms is used. In total, the sample consists of 78 people which is sufficient according to the G-Power analysis. Further, all people are between 18-30 years old, and are mainly from Germany and the Netherlands. The data is measured with simple and multiple linear regression analysis, and the Sobel-Test. Moreover, the research of Baron & Kenny (1986) is considered when evaluating if sleep quality mediates the relationship. Results show that social media usage before bedtime influences both sleep quality and depressive symptoms, and sleep quality influences depressive symptoms. However, sleep quality mediates the relationship between social media usage and depressive symptoms only partly. Although other researchers have found a significant effect in this relationship with slightly changed variables, the current study cannot confirm this. For example, Ho et al. (2021) find a relationship between Facebookaddicted young adults from Vietnam, with sleep quality mediating this relationship. Therefore, the variables ‘addiction’ and ‘nationality’ might be crucial to investigate further. However, the current study has some limitations which have to be considered when evaluating the generalization. For example, there is a high drop-out rate of 171 people which are excluded due to several reasons, like not finishing the questionnaire or not agreeing with the informed consent.
Item Type:Essay (Bachelor)
Faculty:BMS: Behavioural, Management and Social Sciences
Programme:Psychology BSc (56604)
Link to this item:https://purl.utwente.nl/essays/91374
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