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Article . 2019
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Selfitis A Newer Behavioral Addiction - A Review

Authors: Dr. Farzana Begum;

Selfitis A Newer Behavioral Addiction - A Review

Abstract

Objective To address that people who feel compelled to continually post pictures of themselves on social media may suffer from a behavioural addiction and therefore may need specialist attention. Methods Eleven articles were retrieved from electronic databases that met the selection criteria with papers discussed in relation to selfitis and its associative factors. Results 'Selfitis' is a genuine mental condition and compulsive feelings to continually post pictures of oneself on social media is a red flag hence may need help. Conclusions Selfie is a mainstay of social media and many people spend time every day taking, perfecting and posting selfies. The rising popularity of selfie, and obsession with taking selfies, sounds like selfitis could be real. Prevention and understanding the risk factors is a key to avoid the significant damage. Sensitization of public can help following protective activities that minimise the problematic behaviour. Dr. Farzana Begum "Selfitis: A Newer Behavioral Addiction - A Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26751.pdf

Keywords

Selfitis, Addiction, Nursing, FOS: Health sciences, Newer, Behavioral

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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