A Comparative Study to Assess the Level of Internet Addiction Among B.Sc. Nursing and GNM Students at Rama College of Nursing Kanpur with a view to Develop Information Booklet
Mr. Senthil Thirusangu1*, Mr. Abhishek Kumar2, Ms. Akansha2, Ms. Akansha Yadav2, Ms. Anju Kumari2, Ms. Arpana Mishra2, Ms. Subhi Shakya2, Mr. Tushar Patel2
1Assistant Professor, Psychiatric Nursing Department, Rama Nursing College,
Mandhana Kanpur City, Uttar Pradesh
2Nursing Students Rama Nursing College, Mandhana Kanpur City, Uttar Pradesh
*Corresponding Author Email: senthilamma.t@gmail.com
ABSTRACT:
Internet addiction disorder also is known as problematic internet use or pathological internet use is generally defined as problematic, compulsive use of the internet, that result in significant impairment in an individual’s function in various life domains over a prolonged period of time. Problematic computer use is a growing social issue which is being debated worldwide. Internet addiction disorder ruins lives by causing neurological complication, psychological disturbances, and social problems. RESULT: The comparative study to assess the level of Internet Addiction level among nursing students were selected 470 samples of nursing students in which 235 samples were from Bsc Nursing students and 235 were from GNM students. The result shows that internet addiction is more in BSC nursing students than GNM nursing students. CONCLUSION: In this comparative study, we were found that the Internet addiction level was more among BSC nursing students than GNM nursing students.
KEYWORDS: Internet, Nursing, Addiction, GNM, BSc.
INTRODUCTION:
Internet users’ population worldwide had increased from 360 million in December 2000 to 3885 million in June 2017; this shows that worldwide internet penetration rate in June 2017 was 51.7% in Asia, it had grown from 114 million internet users in December 2000 to 1938 million in June 2017, this shows that internet penetration rate in Asia was 46.7% which represents 49.9% of internet users are only in Asia, whereas rest of the world represent 50.1% of users in June 2017.In india, there were about 462 million internet users in June 2017, as compared to 5 million in 2000, so the internet penetration internet users of Asia.1
Rapid expansion and proliferation of the internet have provided better opportunities for communication, information, and social interaction. However, excessive undiscipline use by some individuals has led to the emergence of the concept of internet addiction. In fact, younger internet users (i.e., between 18 and 24 years old) were more at risk of becoming internet addicts than older users. Psychological and environmental factors in the lives of college students may leave them disproportionately vulnerable to internet addiction. Possible reason for this are (a) Students have blocks of unstructured time, (b) schools and universities provide free and unlimited access to the internet, (c) Students from the ages of 18-22 years are for the first time away from parental control without anyone monitoring censoring what they say or do online, (d) Young students experience new problems of adapting to university life and finding new friends new friends, and often end up seeking a companionship using different application of the internet.(e)students receive full encouragement from faculty and administrators in using the different internet applications.(f) adolescentis more trained to use the different internet(g) students desire to escape university sources of stress resulting. from their obligations to pass examinations, compose essays, and complete their degrees in the prescribed time with reasonable marks, and finally (h) students feel that university life is alienated from social activities, and when they finish their studies, the job market with all its certain is a field where they must participate and succeed in findings employment2
AIMS AND OBJECTIVES:
1. To assess the level of internet addiction among BSC nursing and GNM nursing student.
2. To the Associate level of internet addiction among BSC nursing and GNM Nursing Students with selected demographical variables.
3. To compare the level of internet addiction among BSC Nursing and GNM nursing students.
OPERATIONAL DEFINITIONS:
An operational definition is defined as “The way by which a researcher clarifies and defines the variables under investigation. In addition, the researcher must also specify how the variables will be measured in the actual research situation.”3
ASSESS:
‘Assess is defined as to evaluate or analyze”27
It refers to measure the level of internet addiction by using IAT (Internet Addiction Test) scale.
INTERNET ADDICTION:
“The Internet is the global system of interconnected computer networks that use the computer networks that use the Internet protocol suite to link device worldwide.”4
“Addiction is a complex disease often chronic in nature which affects the functioning of the brain.”4
It refers to excessive use of internet others than educational purpose, for seeking pleasure or gratification such as social networking, gaming, gambling, and online chatting.
GNM:
“A diploma is a specific academic award usually awarded for professional/vocational courses.”4
It refers to (3 years course) diploma students who are studying at Rama College of Nursing.
BSC NURSING:
“A degree course is usually a 3-4 years long course conferred by a UGC recognized university after the completion of course.”4
It refers to (4 years course) degree students who are studying in Rama College of Nursing
INFORMATION BOOKLET:
“A small thin book with paper covers, typically giving information on a particular subject.”4
It refers to a Small booklet will be giving information to the nursing student, about the advantages and disadvantages of using internet addiction and social media and health problems related to internet addiction and prevention.
HYPOTHESIS:
“Hypothesis is a tentative prediction or explanation of the relationship between two variables”5
H1:- There is a significant difference in the level of internet addiction among BSC nursing and GNM nursing students.
H2:- There is a statistically significant association between levels of internet addictions with selected demographical variables.
ASSUMPTION:
“Assumptions are statements that are taken for granted or are considered true, even though they have not been statistically tested.”5
1. Internet addiction students may have Addiction problem due to overuses of the internet.
DELIMITATION:
“Delimitation is defined as boundaries set the research to control that they study are doing.” 6
• The study is limited to students in Rama College of Nursing, Kanpur.
• The study is limited to students who are present at the time of data collection.
METHODOLOGY:
“Research methodology is a term that basically means the science of how research is done scientifically. It is a way to systematically and logically solve a problem, help us understand the process not just the product of research and analyze methods in addition to the information obtained by them.”
RESEARCH APPROACH
“Research approach or strategy refers to whether and inductive, deductive, adductive or mixed strategy is used by the researcher. Adopting any mix of paradigmatic position with research approach depends on the question in hand.”
Comparative descriptive approach, a subtype of non-experimental quantitative approach was used for the present study.
RESEARCH DESIGN
“The research design is the plan, structure, and strategy of investigations of answering the research question is the overall plan or blueprint the researchers select to carry out their study.” Comparative descriptive design was adopted to conduct the study. Comparing and contrasting GNM and BSC Nursing students on the level of internet addiction at a single point of time.
SETTING STUDY
‘Setting is a particular place or type of surroundings where something is or takes place.” 6
The study was conducted in Rama College of Nursing, Mandhana, and Kanpur City.
VARIABLES
“Attributes or characteristics that can have more than one value, such as height or weight. In other words, variables are qualities, quantities, or characteristics of people, thing, or situation that change or vary.”6
RESEARCH VARIABLES
Research variables in the study- level of internet addiction.
DEMOGRAPHIC VARIABLES
In consist of variables like Age, Gender, place of residence, father’s occupation, mother occupation, socioeconomic status, course, year, social media account and religion.
POPULATION
The present all nursing students
TARGET POPULATION
The target population for all nursing students studying in Kanpur.
ACCESSIBLE POPULATION
Accessible population for the all GNM and BSC nursing students studying in Rama College Of Nursing
SAMPLE
GNM and BSC nursing students studying at Rama College of Nursing, Mandhana, Kanpur city.
SAMPLE SIZE
The sample comprises of 470 students.
235 sample from Bsc nursing students and 235 from GNM nursing students studying in Rama College of Nursing, Mandhana, and Kanpur city.
SAMPLING TECHNIQUE
“Sampling is the process of selecting a representative segment of the population under study.” 7
The sampling technique used in this study is the Non- Probability convenience sampling technique
SAMPLING CRITERIA
Criteria sampling involves selecting cases that need some predictor mine criterion of importance.
INCLUSION CRITERIA
• Students who are present at the time of data collection.
• Students who are using smartphones, laptops, and tablets
EXCLUSION CRITERIA
• Students who are not willing to participate.
Development and description of the tools used in the study
The tool used for the study was IAT (Internet addiction Scale) Likertscale .
Tool consists of two parts-
Section A-It consist of Demographic variables like age, gender, fathers occupation, mothers occupation, religion, place of residence, socio-economical status, and social media account.
Section B- was consisting of question-related to internet addiction.
Scores: There were 20 items each item
Table no. 1 Test scoring of internet addiction
GRADE SCORE
NORMAL 0-30
MILD 31-49
MODERATE 50-79
SEVERE 80-100
Method of data collection:
Prior to data collection permission was obtained from a psychiatrist of Rama Hospital for tool validity.
The tool will be used to collect the data Likert scale questionnaire regarding internet addiction among BSC and GNM nursing students.
Data collection procedure:
The data collection was completed within the period of 2 weeks from 22.4.19 to 4.5.19. After obtaining permission from the ethical committee the investigators approached the BSC and GNM nursing students and explain to them the purpose of the study. They were assured the all the data would be kept strictly confidential and would be used only for the study purpose. After obtaining their willingness data were collected from 470 students in the Rama College of nursing, Mandhana.
Ethical consideration:
Ethical consideration certificate was obtained from the research ethical committee of RCN, Kanpur after presenting a research proposal with a condition not to violate the rights of human beings/ animals.
Plan for data analysis-
The data obtained from 470 samples were analyzed by adopting appropriate statistical methods.
Summary:
This chapter consists of research approach, research design, and settings of the study, variables, populations, sampling, sample size, sampling techniques, tools, development, and description of tools, data collection procedure and plan for data analysis.
ANALYSIS AND INTERPRETATION OF DATA
SECTION- A
Section A: Description of demographic characteristics of BSC and GNM nursing students.
Fig No 1: Column diagram showing percentage-wise
distribution of gender of GNM and BSC students in Rama Collegeof Nursing
Percentage-wise distribution of BSC students according to their gender, its shows that the highest percentage was females (87.23%) and males (12.77%) were lowest, in GNM also the highest percentage was of females (96.59%) and lowest were males (3.40%).
COMMENT- Females are more in BSC and GNM as compared to boys.
Fig NO 2. Cylindrical Diagram showing percentage-wise distribution of GNM and BSC students according to their age group.
Percentage-wise distribution of age group in BSC students it shows that the highest percentage(48.51%) of students between 17-19 year of age group and 47.23% is in the between the age of 20-22 year. The students between the age of 23-25 are 4.26% and above the age of 26 is 0%, whereas in GNM it shows that highest percentage(51.06%) of students between th20-22 year of age group and 36.06% is in the between the age of 17-19 yea. The students between the age of 23-25 are 10.64% and above the age of 26 is 1.70%.
COMMENT- There is more number of students of 17-19 years of age in BSC and in GNM 20-22 years of age group students are more.
Fig No : 3 Pyramid Diagram showing percentage-wise distribution of BSC and GNM students according to their residence.
Percentage-wise distribution of residence of in BSC students its shows that highest (66.32%) are hostler. 29.36% are dayscholer and 4.62%% lives in PG, whereas in GNM students its shows that highest (52.34%) are day scholar, 34.89% are hosteller and 12.77% lives in PG.
COMMENT- Hostlers are more in BSC and day scholars are more in GNM.
Fig No 4: cylindrical diagram showing percentage-wise distribution of in BSC and GNM students according to their father occupation.
Percentage-wise distribution of father occupation in BSC students it shows that highest (42.12%) are having a government job, and 21.8% having a business, 32.35% having a private job and 4.25% having daily wages. In GNM students it shows that highest (39.57%) have a private job, 26.4% have a government job, 28.08% have a business and 5.95% have daily wages.
COMMENT- Government jobs occupation is more in BSC and the private job is more in GNM.
Fig No 5:cone diagram showing percentage-wise distribution of in BSC and GNM students according to their mother occupation.
Percentage-wise distribution of mother occupation in BSC students it shows that highest (76.18%) are having housewife, and 1.27% having daily wages, 16.6% having a private job and 5.95% having a government job. In GNM students it shows that highest (86.4%) have housewife, 5.10% have government job, 6.38% have a private job and 2.12% have daily wages.
COMMENT- Housewife is more in both GNM and BSC.
Fig No 6: bar diagram showing percentage-wise distribution of in BSC and GNM students according to their religion.
Percentage-wise distribution of religion in BSC students it shows that highest (85.95%) are having Hindu, and 12.35% having Muslim, 1.28% having Christian, 0.42% having others. In GNM students it shows that highest (92.34%) having Hindu, 5.53% having Muslim, 1.70%having Christian and 0.42% having others.
COMMENT- Hindu religion is more in BSC and GNM.
Fig No 7: Cone diagram showing percentage wise distribution of BSC and GNM students according to types of family.
Percentage-wise distribution of family type, in BSC students it shows that highest 50.64% are living in the nuclear family, 39.14% are living in joint family and 10.22% are living in the extended family. In GNM students it shows that highest 52.77% are living in the nuclear family, 42.13% are living in a joint family and 5.10% are living in extended family
COMMENT- Nuclear family is more in BSC and GNM.
Fig no .8 Pyramid diagram Percentage wise distribution of BSC and GNM students according to their family in income
Percentage wise distribution of family income, in BSC students it shows that highest 34.05% are l0, 000 – 15,000, 32.76% are >25,001 and 18.73% are 15,001- 20,000, Lowest are 14.06% are 20,000 – 25,001. In GNM students it shows that highest 49.36% are 10,000 – 15,000, 20.43% 15,001 -20,000 and 17.45% are > 25, 000, and lowest income 12.76% 20,001 – 25,001.
COMMENT- Income between 10000-15000 is more in both GNM and BSC.
Fig No 9: Column diagram showing percentagewise distribution of BSC and GNM students according to Social media account.
Percentage-wise distribution of social media accounts in BSC students it shows that highest 95.80% are having social media account and 4.20% are not having social media account. Whereas in GNM students 74.45% are having social media account and 25.50% are not having social media account.
COMMENT- Many of the students have social media account in both BSC and GNM.
SECTION- B
Assessment of the level of Internet Addiction among BSc. and GNM nursing students
Table 2. showing the level of addiction among GNM and BSc. nursing students
Level of addiction |
N |
Mean |
SD |
P |
T value |
BSc. |
235 |
32.31 |
13.06 |
df=234 |
4.48 |
G.N.M |
235 |
27.06 |
12.51 |
df=12.51 |
|
The means score of BS.c nursing and GNM nursing has shown a significant difference. The mean total knowledge score before intervention was 32.31 for BS.c nursing and simultaneously GNM nursing mean score was 27.06 which were decrease. The paired t test 4.48 for BS.c nursing and GNM nursing
SECTION- C
Comparison between the level of Internet addiction among BSC and GNM nursing students
Table 3. Showing comparison of internet addiction BSC and GNM students. N=470
BSc |
GNM |
|||
ADDICTION |
FREQ UENCY |
% |
FREQ UENCY |
% |
NORMAL |
13 |
5.53% |
17 |
7.23% |
MILD |
80 |
34.04% |
131 |
55.74% |
MODERATE |
139 |
59.15% |
82 |
34.9% |
SEVERE |
3 |
1.28% |
5 |
2.13% |
Total |
235 |
100 |
235 |
100 |
Fig No.10. Bar diagram showing a comparison of addiction level of BSc. and GNM student
Bar diagram shows that level of addiction score in BSC students is 1.29% having severe addiction 59.15% having moderate addiction, 34.04% having mild addiction and 5.53% have normal addiction. In GNM students 2.13% were having a severe addiction, 34.90% having moderate addiction, 75.74% having mild addiction and 7.23% having normal addiction.
COMMENT- BSC level of addiction is more as compared to GNM
Table 4. Mean value for addiction level in BSC and GNM students. N=470
STUDENTS |
MEAN |
BSc |
52.26 |
GNM |
47.06 |
Fig. no.11: Bar diagram showing mean values for addiction level in BSc. and GNM students.
Bar diagram shows that Mean percentage of the students on level of addiction was in BSC students is 52.26 and in GNM students were 47.06.
Fig No; 12 Bar diagram showing standard deviation value for internet addiction level in BSC and GNM nursing student
Bar diagram shows that standard deviation value for internet addiction level of BSc. nsg. Student’s higher i.e, 13.1 and GNM Nsg student’s higher i.e, 12.53 BSc.
SECTION - IV
Table No 13: Association between the levels of addiction of BSc. students with demographic variables.
Sl. No. |
Demographic Variables |
Normal |
Mild |
Moderate |
Severe |
X2 |
1. |
Gender a) Male b) Female |
0 12 |
8 71 |
21 120 |
1 2 |
Cal value=4.50 Tab value=7.82 Df=3(NS) |
2. |
Age in years a) 17-19yrs b) 20-22yrs c) 23-25yrs d) >26yrs |
7 5 0 0 |
42 33 3 0 |
64 71 7 0 |
1 2 0 0 |
Calvalue=3.024 Tab value=16.92 Df=9 (NS) |
3. |
Residence a) Hostler b) Dayscholar c) Living in pg |
4 7 2 |
45 21 4 |
104 40 5 |
2 1 0 |
Cal value=14.90 Tab value=12.59 Df=5 (S) |
4. |
Father occupation a) Private job b) Government job c) Daily wages d) Bussiness
|
6 5 0 2 |
27 32 4 16 |
42 60 6 32 |
1 2 0 0 |
Cal value =3.21 Tab value =16.92 Df= 9 (S) |
5. |
Mother occupation a) Private job b) Government job c) Daily wages d) House wife |
0 1 0 8 |
13 5 0 64 |
25 8 3 105 |
1 0 0 2 |
Cal value=5.81 Tab value=16.92 Df =9 (NS) |
6. |
Religion a) Hindu b) Muslim c) Christian d) Other |
12 1 0 |
71 7 2 0 |
116 21 0 1 |
3 1 0 0 |
Cal value=6.42 Tab value=16.92 Df=9 (NS)
|
7. |
Type of family a) Nuclear family b) Joint family c) Extended family |
9 3 0 |
41 33 5 |
69 53 19 |
0 3 0 |
Cal value=11. Tab value= 16.92 Df=6 (NS) |
8 |
Family income a) 10,000-15,000 b) 15,001-20,000 c) 20,001-25,000 d) 25,001-above |
2 6 2 2 |
22 18 14 27 |
56 20 18 46 |
0 0 0 2 |
Cal value=17.71 Tab value=16.92 Df=9 (NS) |
9 |
Social media a) Yes b) No |
13 0 |
43 3 |
166 7 |
3 0 |
Cal value=1.28 Tab value =7.82 Df=3 (NS) |
GNM
Sl. No. |
Demographic Variables |
Normal |
Mild |
Moderate |
Severe |
X2 |
1 |
Gender a) Male b) Female |
0 17 |
4 127 |
2 80 |
2 3 |
Cal value=21.268 Tab value =7.82 Df=3 (S) |
2 |
Age a) 17-19yrs b) 20-22yrs c) 23-25yrs d) >26yrs |
6 9 0 2 |
52 62 15 2 |
27 45 10 0 |
1 3 0 1 |
Cal value=21.76 Tab value =16.92 Df=9 (S)
|
3 |
Residence a) Hostellers b) Days choler c) Living in pg |
5 9 3 |
48 70 13 |
27 43 14 |
2 3 0 |
Cal value=3.48 Tab value =12.59 Df=6 (NS)
|
4 |
Father occupation a) Private job b) Government job c) Daly wages d) Business |
5 5 0 7 |
53 34 9 35 |
35 18 5 24 |
0 5 0 0 |
Cal value=17.64 Tab value=16.92 Df=9 (S)
|
5 |
Mother occupation a) Private job b) Government job c) Daily wages d) Housewife |
2 1 0 14 |
8 9 4 110 |
5 2 0 75 |
0 0 1 4 |
Cal value =14.95 Tab value =16.92 Df =9 (NS)
|
6 |
Religion a) Hindu b) Muslim c) Christians d) Others |
15 1 1 0 |
121 7 3 0 |
78 4 0 0 |
3 1 0 1 |
Cal value =56.57 Tab value =12.59 Df=6 (S) |
7 |
Types of family a) Nuclear family b) Joint family c) Extended family |
10 5 2 |
62 63 6 |
49 31 2 |
2 1 2 |
Cal value =18.93 Tab value=12.59 Df =6 (S) |
8 |
Family income a) 10,000-15,000 b) 15,001-20000 c) 20,001-25,000 d) 25,001-above |
10 3 1 3 |
58 30 27 |
44 13 12 13 |
3 1 1 0 |
Cal value =5.38 tab value =7.82 Df=9 (NS) |
9 |
Social media a) Yes b) No |
8 9 |
89 42 |
72 10 |
5 0 |
Cal value =18.31 Tab value 7.82 Df =3 (S) |
CONCLUSION:
The Following Conclusion Was Drawn On Basis Of The Study. The Following Of The Assessment Show Was A Significant Difference Level Of Addiction Between GNM And BSC Nursing Student.
NURSING IMPLICATION:
The finding of the study had implication in nursing administration, nursing services, nursing education, and nursing research.
Nursing Services
A nurse should educate the students about the impact of internet usage and its addiction on their physical health, academic performance, and psychosocial health.
Nursing personnel can also manipulate the thinking of adults regarding the ill effects of internet usage and addiction to decrease the percentage of internet-addicted adults and to improve physical and psychological health.
Nursing Education
1. A nurse educator can teach the nursing students regarding internet-related issues among students to enhance the skills in detection of problems.
2. A nurse educator can develop health education materials like information booklet, pamphlet, for students which help to understand the need for recognizing the problem and take up measures to prevent the internet addiction-related issues in nursing students.
3. Continuing education programs should be conducted for nurses with the aim of updating their knowledge regarding internet addiction and the impacts of internet usage on their health and academic performance.
Nursing Administration
1. A nursing administrator can provide facilities and promote education to students regarding internet usage and internet addiction.
2. Nurse administrator should ensure the availability of the material like pamphlets, posters,charts,guidelines related to prevention of internet addiction.
3. There should be a policy for the supervision of staffs and adequate supply pf the equipment to reduce addiction.
Nursing Research
Nurses can take initiative to conduct research regarding internet usage and its addiction level among the college and school students.
RECOMMENDATION:
1. A similar study can be done in schools to assess the knowledge and attitude regarding internet usage and addiction level.
2. An experimental study can be conducted to assess and evaluate the effectiveness of health education regarding internet addiction.
LIMITATIONS:
The comparative study was conducted by using 470 samples, those who are able to participate at the time of data collection, willing to participate and able to understand English and Hindi.
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Received on 06.02.2020 Modified on 30.03.2020
Accepted on 28.04.2020 ©A&V Publications All right reserved
Asian J. Nursing Education and Research. 2020; 10(3): 351-359.
DOI: 10.5958/2349-2996.2020.00075.0