A Study to assess level of Nomophobia among people residing in selected areas

 

Amol Kanade, Komal Borade, Aarti Mane, Stacey Rich, Tanuja Kadam, Tanvi Thorat,

Nilesh Rathod

L-205, Shrinivas Greenlanad County Manajinagar, Near Navale Hospital, Pin – 411041.

*Corresponding Author E-mail: thesis.ak07@gmail.com

 

ABSTRACT:

Background: Mobile phones have become an important part of everyone’s lives. In recent times, there seems to have been a transformation of the mobile phone from a status symbol to a necessity because of the countless advantages it provides. Excessive and addicting use of mobile phone, especially smart phone results in physical and psychological symptoms such as loneliness, interpersonal anxiety, poor self-control, and low self-esteem. Material and Method: A quantitative, nonexperimental, descriptive, cross-sectional survey research approach was used to assess the level of nomophobia of conveniently selected 390 people from selected areas. The standardized scale was used for the data collection. The data collection was carried out in three phases and the data was analysed by using the descriptive and inferential statistics. Results: The results reveal that majority 160 (41%) the respondents had severe nomophobia, 33% of the respondents had moderate level of nomophobia, 23% of the respondents had mild level of nomophobia and only 3% have no nomophobia. Conclusion: It is concluded that 97% of the respondents had nomophobia. Of them, majority (41%) of the participants had severe level of nomophobia and majority of the study participants (33%) had moderate level of nomophobia. Excessive use of smart phone may result in dependency on mobile phone. It is an alarming sign for the public and health-care professionals. More focus should be given for the early detection and intervention for treat nomophobia.

 

KEYWORDS: Nomo phobia, Mobile phone addiction, People.

 

 


INTRODUCTION:

We all are living in a world that grows constantly, over the period. In the last two decades technology is boosting in each area of life. There is no second view that humans are surrounded by various technologies. On a lighter side, one of the very famed movies “3 idiots” at Bollywood stated, “we are completely surrounded with machines from the tip of the pen to the zip of pant”.

 

Fortunately, this comedian quote is very true in today’s world. We humans cannot even imagine where the world and technology will be in the next 50 years. The advancement in the technology has drastically changed our lives. An American documentary called ‘The Social Dilemma’ has shown how social media's design nurtures an addiction, manipulates people's views, emotions, and behaviour, and spreads conspiracy theories and disinformation, to maximize profit. The film also examines the issue of social media's effect on mental health including the mental health of adolescents and rising teen suicide. We all are being addicted to this technology. Computers and mobile phones are examples of such technology.

 

According to Shambare et al. (2012), cell phones are “possibly the biggest non-drug addiction of the 21st century”. Now a day’s college students are spending more than 9 hours on their mobile phones. Due to the COVID-19 pandemic and related constraints, the use of the internet and technology has increased as a result of the provision of needs and education, and thus, its effect on addiction has been observed. It is an example of “A paradox of technology” having both the property of freeing and enslaving. Freeing from the real world and enslaving to the virtual world.  Over the last 15 years, there has been tremendous growth in the use of mobile phones because of its usefulness in communication and interaction and the sphere of work and private life. As compared to landline connection which took more than a century to reach one billion users, the mobile phones with no wonder took around 20 years to attract these many users. Around the globe there are around 6.8 billion people who have subscribed for the mobile connections during 2019 and out of them 2.7 billion were smartphones users and the count is pacing up with the passing of hours. Initially, India was chasing China for population explosion, but the aim of chase has shifted to mobile phones and the markets of India have evolved as the largest market for mobile phones after the Chinese market. As per the Telecom Regulatory Authority of India (TRAI), there were 1168.3 million subscriptions for mobile connections whereas the total population of India itself is 1339.2 million during the month of July 2019 and out of them 373 million were smartphones users.

 

Communication was the major function served by mobile phones after its invention; but, nowadays, its function has evolved as mobile computers that come with preloaded multiple apps for music, games, shopping, videos, calculators, cameras, alarms, including several distinguished advantages in terms of enhanced and smooth connection socially, offering reduction in loneliness and secured sense of feeling in case of emergencies. Moreover, due to the increasing demand, decreasing cost, and more affordability and availability, dependency of mobile phone is raising worldwide.

 

Despite many advantages, relationship with smartphones can be crippling. Misuse and excessive use of smartphones can cause psychological, behavioural and physical problems such as headaches, loss of concentration, accidents, stress, anxiety, addiction, ringxiety and relatively a new phenomenon: Nomophobia.

 

AIM OF THE STUDY:

To assess thelevel of nomophobia among people residing in selected areas

 

OBJECTIVES:

1.     To assess the level of nomophobia among people of the selected areas.

2.     To find out association between study findings with selected demographic variables.

 

Assumption:

1.     Nomophobia may vary according to age.

2.     Nomophobia may be higher in adolescents.

3.     Levels of Nomophobia may depend upon the duration of mobile phone used by the user.

 

Research Design and approach:

Research design is the master plan specifying the method and procedure for collecting and analysing the need information as the research aimed at assessing the level of nomophobia among people residing in selected areas. The research design used for the study was Non experimental descriptive research design.

 

Study variables:

Variable that is observed or measured in natural setting as they exist, without manipulation or imposing the effect of intervention or treatment is called as research variable.

 

Research variable:

In the present study the Research variable is nomophobia among people.

 

Extraneous variable:

Extraneous variables are variable outside the purposes of the study that could influence the study’s result. Extraneous variable for the present study was the a) socio demographic characteristics of respondents like age, gender, Education, type of family, religion and type of mobile phone you use.

 

Setting of the study:

The physical location and condition in which data collection takes place in the study The present study was conducted at the selected areas.

 

Population:

The total group of individual people or things meeting the designated criteria of interest to the researcher The population for the study was in this study the population is people.

 

Sample:

“It is a subset of population selected for the particular study and the members of the sample are the study subject”

 

The sample of the study was the people of the selected areas and available during data collection.

 

Sample size:

The sample size for the present study is 390.

 

Sampling technique:

Simple Random sampling is the simplest of the probability sampling techniques. In this technique, the researcher randomly selects the sample from a sampling frame. Each member of the accessible population has an equal chance of being chosen as a subject

 

In the present study, simple random sampling technique was used where in 385 samples from selected areas

 

Criteria for inclusion in the study:

Inclusion criteria:

People who are,

1.   Age group of 15-60 years

2.   Using smartphones.

3.   Willing to participate in the study and will provide written informed consent.

 

Method of data collection:

The tool is to assess level of nomophobia among people residing in selected areas.

 

It consists of two sections:

Section A: Socio demographic data

 

Section B: The Nomophobia Questionnaire and Mobile Phone Involvement Questionnaire (Walsh et al., 2010) were employed in the present study.

 

Statistical analysis:

The data were computerized and verified using the SPSS (statistical package for social science) version 16.0 to perform tabulation and statistical analysis. Qualitative variables were described in frequency and percentages, while quantitative variables were described by mean and standard deviation.

 

RESULTS:

Section I: Description of Sociodemographic data of adolescent girls

 

Section II: Assessment of the level of nomophobia among people residing in selected areas

 

Section III: Hypotheses testing To associate the study findings with selected demographic variables. Hypothesis testing was done by using chi-square test.

 

Section – I: Description of Sociodemographic data of respondents

 

Table No: 1 Frequency and percentage distribution of people as per their sociodemographic characteristics (n=390)

S.No

Demographic variables

Frequency

Percentage

1

Age in years

14-19

69

17

20-29

212

54

30-39

39

10

40-49

54

14

Above 50 years

21

5

2

Gender

Male

97

25

Female

293

75

3

Education

Illiterate

1

0.3

Secondary Education

45

11.7

Undergraduates

178

46

Graduate

110

28

Post graduates

56

14

4

Type of family

Nuclear

261

67

Joint

111

28

Broken

3

0.8

Separate

15

3.8

5

Religion

Christian

76

19

Hindu

285

73

Muslim

17

5

Other

12

3

6

Which type of mobile phone you use

keypad mobile phone

3

01

touchscreen

387

99

7

How long you use mobile phone in a day

1 hour

23

6

2-3 hour

26

7

4-5 hour

128

33

6-10 hour

63

16

More than 10 hours

150

38

8

How often do you check your mobile phone?

Once a day

6

2

2-5 times a day

74

18

6-10 times a day

104

27

11-15 times a day

67

17

more than 15 times a day

139

36

9

How much money do you spend every month on mobile recharge?

Rs. 100-200

95

24

Rs. 201-300

159

41

Rs. 301-400

43

11

Rs. 401-500

32

8

More than 500 Rs

61

16

10

How long do you speak on mobile phone per day

2 to 3 hours

48

12

4 to 5 hours

9

2

31 min to 1 hour

145

38

less than 30 min

183

48

11

How many times do you upgrade software on your mobile in a year

1

140

36

2-3 times

166

43

4-5 times

41

10

more than 5 times

43

11

 

The above-mentioned table deals with the demographic data of sample with regard to age, gender, education, type of family, religion, locality, type of family, type of mobile phone you use, money spent every month on mobile recharge, how long do you speak on mobile phone per day and how many times do you upgrade software on your mobile in a year.

 

Fig no: 1 Pie diagram showing percentage wise distribution according to the level of nomophobia of the respondents

 

Pie diagramshows the level of nomophobia of the people. The results reveal that majority 160(41%) the respondents had severe nomophobia, 33% of the respondents had moderate level of nomophobia, 23% of the respondents had mild level of nomophobia and only 3% have no nomophobia.

 

To find association between level of nomophobia with the selected demographic variables

Table No: II

S.N

Variables

2

Level of Significance

1

Age

7.45

Significant

2

Gender

0.44

Not Significant

3

Education

1.45

Not Significant

4

Type of mobile phone used

5.93

Significant

5

Type of family

0.62

Not Significant

6

Money spent every month on mobile recharge

6.45

 Significant

7

How long do you speak on mobile phone per day

7.87

Significant

df-1, table = 3.84, p≥ 0.05, not significant

 

Chi square values were calculated to find out the association between the level of nomophobia with the selected demographic variables. The findings revealed that there was significant association between level of nomophobia and demographic variables such as Age, type of mobile phone used, money spent every month on mobile recharge, how long do you speak on mobile phone per day (ᵧ2 =7.45, 5.93, 6.45 and 7.87).

 

Hence the stated null hypothesis is accepted as there was significant association between level of nomophobia and demographic variables such as Age, type of mobile phone used, money spent every month on mobile recharge, how long do you speak on mobile phone per day

 

CONCLUSION:

It is concluded that 97% of the respondents had nomophobia. Of them, majority (41%) of the participants had severe level of nomophobia and majority of the study participants (33%) had moderate level of nomophobia. Excessive use of smart phone may result in dependency on mobile phone. It is an alarming sign for the public and health-care professionals. More focus should be given for the early detection and intervention for treat nomophobia.

 

RECOMMENDATION:

Based on the findings of study following recommendation have been made for future study:

1.   Based on this study, a new study with larger samples will improve the generalization of findings.

2.   A similar study can be a plan by strengthening the external validity of the research.

3.   A parallel study can also be the plan with a quasi-experimental research design.

4.   One component of the present research can also be studied in detail such as knowledge, attitude, or behavioural component of nomophobia and internet addiction.

5.   A-bit similar study can also be planned with word of technological addictions (Wider perspective instead of nomophobia and internet addiction)

6.   Prospective longitudinal studies may be carried out with the same problem statement.

7.   Further studies with profession-specific adults like in nursing/medical/paramedical/ engineering/ pharmacy/ science stream adolescents can be the plan.

8.   Research may be carried out to assess people self-control to respond to ill effects of nomophobia and internet addiction.

9.   Further studies carry with the participation of parents and teachers to assess the perception of parents along their children’s regarding nomophobia and internet addiction.

10. The government should make stringent digital laws that make people to appropriately use mobile and internet services.

 

REFERENCES:

1.      Mengi A, Singh A, Gupta V. An institution-based study to assess the prevalence of Nomophobia and its related impact among medical students in Southern Haryana, India. J Family Med Prim Care. 2020; 9:2303-8.

2.      Fidanci I, Aksoy H, Taci D, Başer D, Cankurtaran M. Effect of Covid-19 Restrictions on Nomophobia and Smartphone Addiction Levels. Bağımlılık Dergisi, 2021; 22(4):395-402 Doi: 10.51982/bagimli.911501

3.      Vibha, Kaur S, Achala, Kaur A, Kaur A, Kaur A, et al. Nomophobia among Students. IJARR. 5(2); 2020; 58-66

4.      Tams S, Legoux R, Leger PM. Smartphone Withdrawal creates Stress: A Moderated Mediation Model of Nomophobia, Social threat, and Phone withdrawal context. Elsevier. 2018;81:1-9

5.      Sethia S, Melwani V, Melwani S, Priya A, Gupta M, Khan A. A study to assess the Degree of Nomophobia among the Undergraduate Students of a Medical College in Bhopal. Int J Community Med Public Health. 2018; 5:2442-5.

6.      Bragazzi N, Puente Giovanni. A Proposal for including Nomophobia in the new DSM-V. Psychology Research and Behavior Management. 2014:7, 155-160

7.      Bajaj S, Maheshwari SK, Maheshwari PS. Prevalence of Nomophobia among College Students: An Exploratory Cross-sectional survey. Indian J Psy Nsg. 2020; 17:29-32.

8.      Setia R. and Tiwari S. A study on Nomophobia among youth in Indian perspective. International Journal of Indian Psychology. 2021; 9(1): 688-707. DIP:18.01.074/20210901, DOI:10.25215/0901.074

9.      Rodríguez-García A-M, Moreno-Guerrero A-J, Belmonte J. Nomophobia: An Individual’s Growing Fear of Being without a Smartphone—A Systematic Literature Review. Int. J. Environ. Res. Public Health. 2020; 17: 580; doi:10.3390/ijerph17020580

10.   Jilisha G, Venkatachalam J, Menon V, Olickal JJ. Nomophobia: A mixed-methods study on Prevalence, Associated factors, and Perception among college students in Puducherry, India. Indian J Psychol Med. 2019; 41:541-8

11.   Kanade AB, Raut S. A study to assess the Mental stress among Nursing Student who failed in university examination and coping strategies utilized by them in selected colleges of Pune city. International Journal of Advances in Nursing Management. 2020; 8(3): 197-203.

12.   Kanade AB, Sarwan S, Said P, Kadam S, Dhakne G, Gore P. A Study to Assess the Academic Stress and Coping Strategies used among the undergraduate nursing students from selected colleges of Pune City. Asian Journal of Nursing Education and Research. 2021; 11(2): 183-8.

13.   Naikare VR, Kale P, Kanade AB, Mankar S, Pund S, Khatake S. Thought stopping activity as innovative trend to deal with stresses. Journal of Psychiatric Nursing. 2015; 4(2): 63.

14.   Kanade A. The effect of assertiveness training program on nurses. Indian Journal of Psychiatric Nursing. 2018; 15(2): 19.

 

 

 

 

Received on 06.02.2023         Modified on 17.06.2023

Accepted on 13.10.2023       ©A&V Publications All right reserved

Int.  J. of Advances in Nur. Management. 2023; 11(4):217-221.

DOI: 10.52711/2454-2652.2023.00049