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<records>

  <record>
    <language>eng</language>
          <publisher>Oriental Scientific Publishing Company</publisher>
        <journalTitle>Biomedical and Pharmacology Journal</journalTitle>
          <issn>0974-6242</issn>
            <publicationDate>2020-09-25</publicationDate>
    
        <volume>13</volume>
        <issue>3</issue>

 
    <startPage>1409</startPage>
    <endPage>1413</endPage>

	 
      <doi>10.13005/bpj/2011</doi>
        <publisherRecordId>34828</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">Evaluation of Smartphone Addiction and Quality of Sleep among School Children</title>

    <authors>
	 


      <author>
       <name>U. Ganapathy Sankar</name>

 
		
	<affiliationId>1</affiliationId>
      </author>
    

	 


      <author>
       <name>Monisha R</name>


		
	<affiliationId>1</affiliationId>

      </author>
    

	

	


	


	
    </authors>
    
	    <affiliationsList>
	    
		
		<affiliationName affiliationId="1">SRM College of Occupational Therapy, SRM Institute of Science and Technology, Kattankulathur-603203, Chennai, India.</affiliationName>
    

		
		
		
		
		
	  </affiliationsList>






    <abstract language="eng">Smartphone are devices that have the capability to process information, store information and enable communication. They include a variety of features such as access to internet, social media, videos, multimedia, navigations and many more. Internet addiction and smartphone addiction can most often be confused and the purpose of the study was to identify children with smart phone addiction and non- addiction and their sleep quality. The study involved 100 students from private schools and colleges around Kancheepuram. Convenient sampling method was used to enroll the participants. The students were in age range from 13-17 years. SPAI- Smart phone addictive inventory is a valid and reliable mean to identify and measure smart-phone addictions and in the current study we used SPAI to identify children with smart-phone addiction and non- addiction and the PSQI Scale was used to identify sleep quality in students and the study concludes that there is a significant correlation in poor sleep quality among students with smart-phone addiction</abstract>

    <fullTextUrl format="html">https://biomedpharmajournal.org/vol13no3/evaluation-of-smartphone-addiction-and-quality-of-sleep-among-school-children/</fullTextUrl>

<keywords language="eng">

      
        <keyword>Anxiety</keyword>
      

      
        <keyword> Depression</keyword>
      

      
        <keyword> Smartphone Addiction</keyword>
      

      
        <keyword> Sleep Quality</keyword>
      

      
        <keyword> Stress</keyword>
      
</keywords>
  </record>
</records>