Negative Outcomes Of Long Hours Online Essay

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Outcomes of long hours online On November 14, NPR radio lab published an article about the negative outcomes of long hour online. There is a study from the journal Clinical Psychological Science, which finds that more than 3 hours spending with hi-tech pre-day might cause depression and suicide thoughts among teens.
The team who published the study made a nation survey that ask half of million teen who are in age 13 to 18 questions about the meaning of lives. They found answers that are feeling useless and meaningless increase from 16 percent to 22percent between 2010 and 2015, especially among girls. They claim that girls always use hi-tech to show their popularity in the social media. That means this answer all point to they have high
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Then the team says that “an increase in suicide deaths among teens from 1,386 in 2010 to 1,769 in 2015” and “suicidal thoughts was strongest among girls” (Neighmond). The author got a inaccurate conclusion and the evidence is not strong. For teens, especially girls, are in age 13-18 and are going through adolescence. At this stage, they will always feel about their physical changes and emotional changes. Every small thing can cause mood swings and feel angry or depressed gratuitously. Therefore, the evidence from the study that teens answers “Life often feels meaningless," or "I feel I can't do anything right,"(Neighmond) increased is not so strong to hold the statement that they have a thought to suicide or they really feel sad. And the study also mentions girls always concern about the popularity on the social media, at that age, most of girls want to looks beautiful whatever it is in social media or in the real high school life. They always concern about popularity and the social media is not the main reason.
Immediately, the team use statistics to prove their statement. However, the statistics only include overall economy and amount of studying tasks. There are also other factor to effect suicide. This perspective is same like the insight of psychologist Andrew Przybylski, who thinks the team should estimate the influence of family financial background
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