Screen Time Social Media and Depression in Adolescents
Despite technological diverse among continents and states, social media has become fundamental with reference to adolescent. However, social media has intensely altered the way individuals interconnect, socialize as well as make and sustain a relationship. This paper explores on studies conducted pertaining screen time, social media use and depression in adolescent. Keywords: Screen time, Social media, Depression, Adolescent. Screen time social media, and depression in adolescents Despite the numerous doles to existing in a numerical world, certain risks are also experienced. This theory suits this study due to the behavior of teenagers is to a very large extent influenced by their intentions. The Theory of Planned Behavior (TPB) in another theory to be sued in this study. This theory is an improvement on predictive capabilities of the TRA by including the aspect of perceived behavioral control to the factors that determine the behaviors of teenagers.
It excels in explaining correlations among attitudes, beliefs, behavioral intentions and actual behaviors. According to social networking sites’ statistics, billions of individuals use societal interacting sites such as Facebook, Twitter, and Myspace as a means of communicating and interacting with each other. From Allender, (2017) perception, the relation amongst connected communal interacting and signs of misery may be multifaceted related to multiple mental, societal, communicative, and distinct factors. The studies affirm that there may be a positive and negative outcome due to the influence of online social networking. From the longitudinal study of adolescents’ compulsive internet use and depression that was conducted in 2003 and 2004 in the Netherlands confirms that adolescents aged between twelve to fifteen years use massaging and compulsive internet. Likely, studies conducted in the United State by Schubert and Goldfield, (2016) show that twelve to seventeen years old adolescent spend most of their time on the internet for private communication via messaging.
Unsurprisingly, the studies show the relationship between internet use and misery is not as expected. Teenagers having a smartphone are often the victims of sleep disturbance while teenagers having a conventional phone are imperceptibly affected by sleep disturbance. From that point of view, there is a negative affiliation amongst automated media use with sleep duration and a positive relation with sleep difficulties. From the survey conducted by Eather, Plotnikoff, and Lubans, (2017), a high association amongst challenging mobile phone use and psychosomatic parameters in teenagers is explored. It shows that chronic stress and low emotional stability is the best predictors of phone use (PU). Additionally, female sex is the most sex affected by PU. Finally, the chapter concludes with the ethical considerations, validity, and reliability of the data and the study’s limitations.
Research purpose and approach The objective of this study is to obtain data that will deliver consistent information. The process undertaken will determine whether it is explanatory, descriptive and/or explanatory in nature. The potential routes will be considered and evaluated to ensure that the approach implemented will be of best fit. With that consideration, an exploratory study approach will be considered effective for our study due to its weight. The process (analysis process) can include correlations, cross- tabulations, and frequencies to identify significant relationships within the statistical data. Measurement For any study, it is vital to explore on different variables. The objective of the variables is to identify the dependent variables i. e. the outcome measurements. Our focus group will be adolescent aged between 12 to 17.
Both males and females within the age bracket will be involved. Also, parental consensus will be involved during data collection. Survey Instrument Design Due to petite exploration on the topic, the survey instrument we will implemented will be quantitative in nature. For the research and selection of secondary data is considered crucial to adopt the following criteria: some of the fundamental demographics (number of participants, number of social network, screen time on numerus gadgets). Significance There is a rapid rise in the numbers of adolescents with depressive symptoms, psychological distress and anxiety. This age group (12-17) is particularly vulnerable due to the large impact of peer influence and trying to figure out their identity. This is of particular concern in North America due to the current rate of increased suicide and ideations, drug use, and violence (specifically gun violence and mass school shootings).
Understanding the relationship of social media and depression will assist legislation, mental health professionals, and parental figures to identify warning signs, develop greater methods of control, and reverse and prevent any long-term repercussions from individuals within this age cohort and future generations. Conducting a study that provides evidence to parents, ageing population, school officials, health care providers, and educating communities can aid in the early treatment of mental health disorder connected with screen time, depression and social media use. Researchers have lacked consensus for investigation, resulting in limited replication. Some studies did not exclude outside factors that could impact depression and/or anxiety before surveying. Reference Barry, C. T. , Sidoti, C. N. , March, J. S. , Brent, D. , Albano, A. Open Journal of Depression, 3(01), 13.
Lemola, S. , Perkinson-Gloor, N. , Brand, S. , Dewald-Kaufmann, J. , & Weersing, V. R. Comorbidity of anxiety and depression in youth: Implications for treatment and prevention. Clinical Psychology: Science and Practice, 17(4), 293-306. Hoare, E. , Henderson, K. A. , Obeid, N. , Schubert, N. , & Goldfield, G. Twenge, J. M. , Joiner, T. E. , Rogers, M. Current psychiatry reviews, 8(4), 292-298. Mojtabai, R. , Olfson, M. , & Han, B. National trends in the prevalence and treatment of depression in adolescents and young adults. , & Lubans, D. R. Longitudinal associations between changes in screen-time and mental health outcomes in adolescents. Mental Health and Physical Activity, 12, 124-131. Best, P. , & Purssell, E. Social Media and Depressive Symptoms in Childhood and Adolescence: A Systematic Review. Adolescent Research Review, 2(4), 315-330. O'Keeffe, G. S. , & Algorta, G. P. The relationship between online social networking and depression: a systematic review of quantitative studies.
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