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28 This work is licensed under Creative Commons Attribution 4.0 International License.
ISSN: 2349-8889
Volume-6, Issue-6 (November 2019)
https://doi.org/10.31033/ijrasb.x.x.x
International Journal for Research in
Applied Sciences and Biotechnology
www.ijrasb.com
Impact of Smart Devices among Adolescents Life Style in Al Najaf Al
Ashraf City
Mohammed Baqer Hassan1
, Noora Farhan Hassan2
, Sura Ibrahim Luaibi3,
Thikra Abdulkadhim Abdulhussein4
1
Assistant Professor, Department of Nursing, Faculty of Nursing, University of Kufa, IRAQ
2
Assistant Lecturer, Department of Nursing, University of Kufa, IRAQ
3
University Nurse, Department of Nursing, University of Kufa, IRAQ
4
University Nurse, Department of Nursing, University of Kufa, IRAQ
1
Corresponding Author: mohammedb.daghil@uokufa.edu.iq
ABSTRACT
To identify the adolescents life style, to assess
adolescents life style with smart devices and socio
demographic characteristics.
A descriptive study designed to found relationship
between smart devices and adolescents life style in Al-Najaf
Al-Ashraf from 5 September to 10 November 2019.
The findings of present study indicate that more
than 64% of the study sample between age group (12- 15)
years old, (72.2%) are males, (76.3%) from them are
graduated from primary school, regarding to overall
assessment of psychological and physical domain with
smart devices are acceptable. Finally, there is a significant
relationship between social lifestyle with smart devices in
items as numbered (4, 8, 13 and 14) with gender of
participants.
The study confirms that there is a significant
negative impact on psychological aspect. so that these
devices affect the psychological state of the teenager
negatively .The study indicate that there was a very
significant impact on the social aspect of adolescents so that
these devices cause social isolation..
Preferably rationalize the acquisition and use of
adolescent smart devices under the direct and continuous
supervision of the guardian. Enhancing the role of the
parents in educating the adolescent about the harm caused
by smart device. Parents should allocate specific time to
treat the teenager with smart devices, and be after Ending
his or her educational and social requirements.Provide
sports activities, social and scientific by the family of the
teenager, through which invest his time and reduce his
recourse to these devices to fill his spare time.
Keywords-- Adolescents, Smart Devices, Life Style.
I. INTRODUCTION
Use of handheld smart devices such as smart
phones and tablet computers is prevalent globally. The
smart phones ownership rate has been increasing rapidly
in recent years. In The Nether lands, the rate is around
70% in the general population and over 90% in
adolescents. 1
In Switzerland, the rate in adolescents increased
from around 50% to nearly 80% from 2010 to 2012.2
More than 60% of families with young children
own a smart phone, and around 40% of them own tablet
computers.3
The adolescents still does not distinguish
between the benefits and disadvantages of modern
technology. Especially in Arab societies that use the
worst side. Most people see technology as a positive
thing for all time, so they imagine that owning modern
devices and knowing the details is a sign of progress in
technology. A smart device is an electronic gadget that is
able to connect, share and interact with its user and other
smart devices.4
Adolescence is a time of increasing
vulnerability for poor mental health, including
depression. Sleep disturbance is an important risk factor
for the development of depression during adolescence.
Excessive use from smart devices is a risk factor for both
adolescents’ sleep disturbance and depression. Certainly,
the parents are the reason why they buy these smart
devices for their children under the pretext of
communication or to improve skills.5
The use of smart devices at the present time is
becoming overly addictive because most students,
whether they are students in higher education or low-
level students, are more addicted to applications on a
smart system.6
The effect of the smart devices on individual
life has been prominent and clear, involving engaged in
the field of work, education where students can easily
study by saving time and effort, health and social life,
this is on the positive side.7
The negative aspect of using the smart device is
that it may clearly affect the behavior and thinking of the
individual in a negative and faster way. It does so
precisely and confidentially that it becomes difficult to
identify and deal with. It can also be said that smart
phones have the ability to influence the decision-making
process. Smartphone addiction is a well-known
condition where trauma causes high-level anxiety pain,
low productivity and affects an individual's emotional
health.
Also, another study mention that "addiction is
common when the matter is related to smart phones,
teenagers feel they are in need to keep in touch with
other all the time. It is common to see teenagers
exhausted of the long hours spent on Smartphone, be it
games or surfing net. It impacts the digestion, breathing
29 This work is licensed under Creative Commons Attribution 4.0 International License.
ISSN: 2349-8889
Volume-6, Issue-6 (November 2019)
https://doi.org/10.31033/ijrasb.x.x.x
International Journal for Research in
Applied Sciences and Biotechnology
www.ijrasb.com
rate and heart beat rate. Smart phones have become a
new enemy to our sleep in terms of quality and time.8
Where indicated to there are bad effects on
teenagers for using smart devices in terms of content,
duration and repetition seems to pose health risks such as
growth problems, muscle and bone problems, obesity ,
physical inactivity, lack of sleep. In addition, many other
effects on teenagers whether they are physical or
psychological.9
Statement of Problem:
Impact of Smart Devices among Adolescents
Life Style in Al Najaf Al Ashraf City
1. To identify the Adolescents Life Style
2. To assess Adolescents Life Style with Smart Devices
3. To find out the association between the adolescents
life style with smart devices and some of socio-
demographic data.
Design of the Study:
Quantitative research non probability
(purposive sample)from5 September to 10 November
2019.
Setting of the Study:
The study was carried out in secondary schools in
Al-Najaf Al-Ashraf city
The Sample of the study:
A purposive sample of (300) adolescents, were
taken from secondary schools in Al-Najaf Al-Ashraf
city.
II. RESULTS
Table 1: Socio-demographic data of the study sample
Percentage (%)Frequency
(total 300)
Groups
64.519312- 15
Age (years) 35.510616 – 19
72.2216MaleGender
27.883Female
76.3228Primary SchoolChildren
Educational Level 18.455Secondary School
5.416Preparatory School
36.5109FirstChild number in
the family 41.1123Middle
20.762Last
6.720IlliterateFather educational
Level 28.184Read and Write
10.431Primary School
18.154Secondary School
12.738Preparatory school
19.157College and Institute
5.015Postgraduate
10.732IlliterateMother educational
Level 30.892Read and Write
16.148Primary School
18.154Secondary School
10.030Preparatory school
11.033College and Institute
3.310Postgraduate
41.5124EmployeeFather job
44.8134free work
13.741Doesn't
18.455EmployeeMother job
81.6244House wife
Table1 shows that more than 64% of the study
sample between age group (12- 15) years old, (72.2%)
are males, (76.3%) from them are primary school
graduated, regarding to child number in the family
(41.1%) of the study sample is middle, according to
educational level for father, (28.1 ) from them is read
and write, while education level for mother (30.8%) of
the study sample is able to read and write, For the
father's job and (44.8 %) from them are free work, while
the mother's job (81.6 %) is house wife.
30 This work is licensed under Creative Commons Attribution 4.0 International License.
ISSN: 2349-8889
Volume-6, Issue-6 (November 2019)
https://doi.org/10.31033/ijrasb.x.x.x
International Journal for Research in
Applied Sciences and Biotechnology
www.ijrasb.com
Table 2: The observed frequencies and percentages of subjects' groups according to smart devices uses
Percentage (%)Frequency
(total 29)
Groups
57.5172Smart phone
Type of Smart Devices
6.419Tablet
14.042Smart TV
3.09Smart watch
6.018Media and audio player
13.039Laptop
43.51301 – 2 hours a dayTime used
30.8923 – 4 hours a day
14.4435 – 6 hours a day
11.434> 7 hours a day
79.9239at homeLocation of uses
14.042outside the house with my friends .
6.018outside the house in the shops allocated for it
This table reveals that the type of smart devices
uses, (57.5 %) from participant use smart phone.
Concerning to time used, (43.5%) from them spend
about 1-2 hours a day, regarding to location of uses
(79.9%) uses at home.
Table 3: The observed frequencies and percentages of subjects' groups according to psychological lifestyle with
smart devices
Ass.MSPercentageFreq.
(total 300)
pass
2.44
5.416alwaysSuffering from distraction and
day dreams.
45.5136Sometimes
49.2147Never
pass
2.34
7.723alwaysFail to complete the tasks that
he /she starts. 50.2150Sometimes
42.1126Never
pass
2.52
8.726alwaysTells unreal stories.
31.193Sometimes
60.2180Never
pass
2.26
12.437alwaysNever listens to the
instructions that have been
given to him.
48.8146Sometimes
38.8116Never
pass
2.04
24.774alwaysAlmost busy with himself, his
fingers, clothes and hair.
46.5139Sometimes
28.886Never
pass
2.48
9.729alwaysEasy to be controlled by
others.
32.898Sometimes
57.5172Never
pass
2.19
18.455alwaysHis/her thinking is being
distracted due to stimulation in
an abnormal way.
43.8131Sometimes
37.8113Never
pass2.0821.464alwaysForgets things or an important
31 This work is licensed under Creative Commons Attribution 4.0 International License.
ISSN: 2349-8889
Volume-6, Issue-6 (November 2019)
https://doi.org/10.31033/ijrasb.x.x.x
International Journal for Research in
Applied Sciences and Biotechnology
www.ijrasb.com
49.5148Sometimesobjects.
29.187Never
pass
2.53
7.723alwaysForgets things or an important
objects.
31.494Sometimes
60.9182Never
pass
2.22
14.744alwaysAvoids difficult tasks that
require a long time.
48.5145Sometimes
36.8110Never
AcceptableMS : 2.31
Overall assessment of psychological lifestyle with smart devices
RS : 77%
Cutoff point = 2; pass >= 2; fail < 2
Table 3 shows that assessment for subjects'
groups according to psychological lifestyle with smart
devices. In relation to all of variable have pass
assessment. While overall assessment of psychological
lifestyle with smart device are acceptable.
Table 4: Statistical distribution of the study sample according to social lifestyle with smart devices
Ass.MSPercentageFreq.
pass
2.59
3.711alwaysExcessive annoyed nonobjective
behaviors. 34.1102Sometimes
62.2186Never
pass
2.39
12.437always
Jogging, jumping and climbing.
36.5109Sometimes
51.2153Never
pass
2.70
2.37alwaysDamaging stuff and disarranging them
due to imitation of games that he/she
watches.
25.175Sometimes
72.6217Never
pass
2.78
4.012always
Escaping from home to go to the
games hall.
14.443Sometimes
81.6244Never
pass
2.53
7.723alwaysLikes to fight with others .
31.494Sometimes
60.9182Never
pass
2.79
2.78alwaysTough on animals.
15.747Sometimes
81.6244Never
pass
2.59
5.015alwaysDoesn't come along with his/her peers.
31.494Sometimes
63.6191Never
pass
2.70
4.012alwaysNot cooperating with others.
22.467Sometimes
73.6220Never
pass
2.90
2.06alwaysSteals things .
4.413Sometimes
93.6278Never
pass
2.80
2.78alwaysHarsh and his/her behaviors are wild.
14.744Sometimes
82.6247Never
pass
2.58
6.018alwaysRebellious, stubborn and naughty.
29.889Sometimes
64.2192Never
32 This work is licensed under Creative Commons Attribution 4.0 International License.
ISSN: 2349-8889
Volume-6, Issue-6 (November 2019)
https://doi.org/10.31033/ijrasb.x.x.x
International Journal for Research in
Applied Sciences and Biotechnology
www.ijrasb.com
pass
2.85
3.711alwaysCan do a bad behavior against the
society like fire ignition. 7.422Sometimes
89.0266Never
pass
2.92
2.06alwaysCan have sex with others.
4.012Sometimes
94.0281Never
pass
2.76
3.711alwaysPractice bullying upon his colleagues.
16.750Sometimes
79.6238Never
pass
2.29
14.443alwaysAvoid apology.
42.5127Sometimes
43.1129Never
GoodMS : 2.678
Overall assessment of social lifestyle with smart devices
RS : 89.62 %
Table 4 indicate that assessment for subjects'
groups according social lifestyle with smart devices. In
relation to all of variable have pass assessment. In regard
to overall assessment of social lifestyle with smart
devices are good.
Table 5: Statistical distribution of the study sample according to physical domain of lifestyle
Ass.MS%Freq.
(total 300)
Items
pass
2.60
4.714always
I find it difficult to walk .
30.491Sometimes
64.9194Never
pass
2.53
4.313always
I find it difficult to run .
38.8116Sometimes
56.9170Never
pass
2.40
6.018always
I find it difficult in doing daily
activity . 47.5142Sometimes
46.5139Never
pass
2.46
7.422always
I find it difficult to lift heavy
objects . 39.5118Sometimes
53.2159Never
pass
2.70
5.015always
I find it difficult to shower
myself . 20.461Sometimes
74.6223Never
pass
2.38
9.729always
I find it difficult to do everyday
tasks . 41.9125Sometimes
48.3144Never
pass
2.35
8.726always
I find it difficult feeling pain in
the areas of the body . 47.8143Sometimes
43.5130Never
pass
2.28
11.434always
I find it difficult to save energy . 48.8146Sometimes
39.8119Never
pass
2.2214.042always
Do not get enough sleep at night
. 49.5148Sometimes
33 This work is licensed under Creative Commons Attribution 4.0 International License.
ISSN: 2349-8889
Volume-6, Issue-6 (November 2019)
https://doi.org/10.31033/ijrasb.x.x.x
International Journal for Research in
Applied Sciences and Biotechnology
www.ijrasb.com
36.5109Never
pass
2.35
15.446always
You believe that your use of
smart devices has caused your
nutritional status to deteriorate .
34.1102Sometimes
50.5151Never
AcceptableMS : 2.427
Overall assessment of physical domain of lifestyle
RS : 80.9 %
This table reveals that the assessment for
subjects' groups according physical domain of lifestyle
have pass assessment all of variable. In regard to overall
assessment of physical domain of lifestyle are
acceptable.
Table 6: Dependence association between Demographic data and social lifestyle with smart devices
No. Items Chi-square (p-value)
Age Gender Child.
Educa.
Level
Child
No.
in the
famil
y
1. 1 Excessive annoyed nonobjective behaviors. 0.125 -.324 0.253 0.110
2. 2 Jogging, jumping and climbing. 0.346 -.352 0.317 0.155
3. 3 Damaging stuff and disarranging them due to imitation of games
that he/she watches.
0.552 -.234 0.083 0.133
4. 4 Escaping from home to go to the games hall. 0.233 0.000 0.228 0.342
5. 5 Likes to fight with others . 0.167 .010 0.224 0.287
6. 6 Tough on animals. 0.457 .022 0.147 0.143
7. 7 Doesn't come along with his/her peers. 0.393 -.194 0.289 0.195
8. 8 Not cooperating with others. 0.360 0.025 0.205 0.183
9. 9 Steals things . 0.112 0.116 0.110 0.362
10. 10 Harsh and his/her behaviors are wild. 0.105 0.125 0.115 0.110
11. 11 Rebellious, stubborn and naughty. 0.153 0.233 0.133 0.115
12. 12 Can do a bad behavior against the society like fire ignition. 0.622 0.422 0.322 0.133
13. 13 Can have sex with others. 0.097 0.025 0.087 0.322
14. 14 Practice bullying upon his colleagues. 0.163 0.015 0.143 0.087
15. 15 Avoid Apology 0.279 .0795 0.174 0.143
p-value < 0.05 : significant relationship
This table reveals that there is a significant
relationship between social lifestyle with smart devices
in items as numbered (4, 8, 13 and 14) with gender at p-
value (0.000, 0.025, 0.025 and 0.015) respectively, while
there is a non-significant relationship between social
lifestyle with remaining demographic data.
Table 7: Relationship between lifestyle domains and each of psychosocial and social lifestyle with smart devices
No. Items psychosocial lifestyle
with smart devices
(p-value)
social lifestyle
with smart devices
(p-value)
1- 1 Physical activity 0.000 0.000
2- 2 Occupation 0.899 0.788
3- 3 Stress 0.552 0.046
p-value < 0.05 : significant relationship
34 This work is licensed under Creative Commons Attribution 4.0 International License.
ISSN: 2349-8889
Volume-6, Issue-6 (November 2019)
https://doi.org/10.31033/ijrasb.x.x.x
International Journal for Research in
Applied Sciences and Biotechnology
www.ijrasb.com
This table reveals that the high significant
relationship between physical activity and lifestyle
domains (psychosocial and social lifestyle with smart
devices)at p-value (0.000). Also there is a statistically
significant relationship between social life style with
stress p-value (0.046).
III. DISCUSSION
In the present study, table (1) shows that Socio-
demographic data of the study sample. In relation to age
of participants, more than half of them between age
group (12- 15) old years. Regarding to the gender, the
findings show that gender (72.2%) are males. In regard
to educational level for children, the results indicate that
more than half are graduated from primary school.
Concerning to education level of father and mother the
study findings that about a third of participants can be
able read & Write (28.1%), (30.8%) respectively. For the
job of father and mother, the study result found that
(44.8 %) from father had free works, as for the mother,
most of them were house wife.
According to the results show in table 2, type of
smart devices uses, more than half from participant use
smart phone. This agreement with result done by Nath,
(2018) reported that the majority of sample use smart
phone. Concerning to time used, (43.5%) from them
spend about 1-2 hours a day and highest percent of them
use smart devices in their homes.8
In (tables 3, 4 and 5) indicate that the study
sample have pass assessment related all domain. In
regard to overall assessment of psychological, physical
and social domain with smart devices are acceptable or
good.
About table 6 in the study indicate that there is a
significant relationship between social lifestyle with
smart devices in items as numbered (4, 8, 13 and 14)
with adolescent gender at p-value (0.000, 0.025, 0.025
and 0.015) respectively, while there is a non-significant
relationship with remaining demographic data.
Table 7 shows that high significant relationship
between physical activity and lifestyle domains
(psychosocial and social lifestyle with smart devices).
Also there is a statistically significant relationship
between social lifestyle with stress p-value (0.046).
Evidence suggests that the use of technology
has changed physical activity, especially if the use of
technology is particularly excessive as it replaces
nighttime sleep. In a study on children and adolescent, it
was found that 37% of the them had a low active play
level, 65% had high screening time(television, computer,
tablet, phone, etc.), and 26% had a combination of these
two.10
IV. CONCLUSION
1 - The result of this study indicated that more than half
of the study sample were males, between age group
(12- 15) years old and most of them graduated from
primary school.
2 - The study confirms that there is a significant
negative impact on psychological aspect. so that
these devices affect the psychological state of the
teenager negatively.
3 - The study indicate that there was a very significant
impact on the social aspect of adolescents so that
these devices cause social isolation. The study
confirms that these devices have a high impact on
the physical side; it causes obesity and lack of
movement in adolescents if used moderately.
V. RECOMMENDATION
1 - Preferably rationalize the acquisition and use of
adolescent smart devices under the direct and
continuous supervision of the guardian.
2 - Enhancing the role of the parents in educating the
adolescent about the harm caused by smart device.
3 - Parents should allocate specific time to treat the
teenager with smart devices, and be after ending his
or her educational and social requirements.
4 - Provide sports activities, social and scientific by the
family of the teenager, through which invest his
time and reduce his recourse to these devices to fill
his spare time.
Declaration of interest: Nil.
Source of Funding: Self.
Ethical Clearance: After the approval of protocol by the
Ethical Review Board, faculty of nursing/ university of
kufa/Iraq and before enrollment, all subjects gave their
verbal approval.
REFERENCES
[1] Kwok, S., Lee, P., & Lee, R. (2017). Smart device
use and perceived physical and psychosocial outcomes
among Hong Kong adolescents. International Journal of
Environmental Research and Public Health, 14(2), 205
[2] Centraal Bureau voor de Statistiek. (2013). Mobile
Internet Use Continues to Grow; Statistics Netherlands
Press ReleasePB12-060: Den Haag, The Netherlands.
[3] Rideout, V.J. Zero to Eight: Children’s Media Use
in America ; Common Sense Media: San Francisco, CA,
USA, 2013.
[4] Sarwar, M., & Soomro, T. R. (2013), Impact of
smartphone’s on society. European Journal of Scientific
Research, 98(2), 216-226.
[5] Lemola, S., Perkinson-Gloor, N., Brand, S.,
Dewald-Kaufmann, J. F., & Grob, A. (2015).
Adolescents’ electronic media use at night, sleep
disturbance, and depressive symptoms in the smartphone
age. Journal of Youth and Adolescence, 44(2), 405-418.
[6] Kibona, L., & Mgaya, G. (2015). Smartphones’
effects on academic performance of higher learning
students. Journal of Multidisciplinary Engineering
Science and Technology, 2(4), 777-784.
35 This work is licensed under Creative Commons Attribution 4.0 International License.
ISSN: 2349-8889
Volume-6, Issue-6 (November 2019)
https://doi.org/10.31033/ijrasb.x.x.x
International Journal for Research in
Applied Sciences and Biotechnology
www.ijrasb.com
[7] Nurfit,SmarphoneAddiction and Impact on Society,
Available at:
http://nurfitriah.wordpress.com/2012/03/25/smarphone-
addiction/
[8] Asoke Nath. (2018). Comprehensive study on
negative effects of mobile phone/ smart phone on human
health. International Journal of Innovative Research in
Computer and Communication Engineering, 6(1), 575-
581
[9] Rüstem Mustafaoğlu, Emrah Zirek, Zeynal Yasac &
Arzu Razak Özdinçler. (2018). The negative effects of
digital technology usage on children’s development and
health, ADDICTA: The Turkish Journal on Addictions,
5(2), 227–247
[10] Anderson, S. E., & Whitaker, R. C. (2010).
Household routines and obesity in US preschool-aged
children. Journal of the American Academy of
Pediatrics, 125(3), 420–428.

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Impact of Smart Devices among Adolescents Life Style in Al Najaf Al Ashraf City

  • 1. 28 This work is licensed under Creative Commons Attribution 4.0 International License. ISSN: 2349-8889 Volume-6, Issue-6 (November 2019) https://doi.org/10.31033/ijrasb.x.x.x International Journal for Research in Applied Sciences and Biotechnology www.ijrasb.com Impact of Smart Devices among Adolescents Life Style in Al Najaf Al Ashraf City Mohammed Baqer Hassan1 , Noora Farhan Hassan2 , Sura Ibrahim Luaibi3, Thikra Abdulkadhim Abdulhussein4 1 Assistant Professor, Department of Nursing, Faculty of Nursing, University of Kufa, IRAQ 2 Assistant Lecturer, Department of Nursing, University of Kufa, IRAQ 3 University Nurse, Department of Nursing, University of Kufa, IRAQ 4 University Nurse, Department of Nursing, University of Kufa, IRAQ 1 Corresponding Author: mohammedb.daghil@uokufa.edu.iq ABSTRACT To identify the adolescents life style, to assess adolescents life style with smart devices and socio demographic characteristics. A descriptive study designed to found relationship between smart devices and adolescents life style in Al-Najaf Al-Ashraf from 5 September to 10 November 2019. The findings of present study indicate that more than 64% of the study sample between age group (12- 15) years old, (72.2%) are males, (76.3%) from them are graduated from primary school, regarding to overall assessment of psychological and physical domain with smart devices are acceptable. Finally, there is a significant relationship between social lifestyle with smart devices in items as numbered (4, 8, 13 and 14) with gender of participants. The study confirms that there is a significant negative impact on psychological aspect. so that these devices affect the psychological state of the teenager negatively .The study indicate that there was a very significant impact on the social aspect of adolescents so that these devices cause social isolation.. Preferably rationalize the acquisition and use of adolescent smart devices under the direct and continuous supervision of the guardian. Enhancing the role of the parents in educating the adolescent about the harm caused by smart device. Parents should allocate specific time to treat the teenager with smart devices, and be after Ending his or her educational and social requirements.Provide sports activities, social and scientific by the family of the teenager, through which invest his time and reduce his recourse to these devices to fill his spare time. Keywords-- Adolescents, Smart Devices, Life Style. I. INTRODUCTION Use of handheld smart devices such as smart phones and tablet computers is prevalent globally. The smart phones ownership rate has been increasing rapidly in recent years. In The Nether lands, the rate is around 70% in the general population and over 90% in adolescents. 1 In Switzerland, the rate in adolescents increased from around 50% to nearly 80% from 2010 to 2012.2 More than 60% of families with young children own a smart phone, and around 40% of them own tablet computers.3 The adolescents still does not distinguish between the benefits and disadvantages of modern technology. Especially in Arab societies that use the worst side. Most people see technology as a positive thing for all time, so they imagine that owning modern devices and knowing the details is a sign of progress in technology. A smart device is an electronic gadget that is able to connect, share and interact with its user and other smart devices.4 Adolescence is a time of increasing vulnerability for poor mental health, including depression. Sleep disturbance is an important risk factor for the development of depression during adolescence. Excessive use from smart devices is a risk factor for both adolescents’ sleep disturbance and depression. Certainly, the parents are the reason why they buy these smart devices for their children under the pretext of communication or to improve skills.5 The use of smart devices at the present time is becoming overly addictive because most students, whether they are students in higher education or low- level students, are more addicted to applications on a smart system.6 The effect of the smart devices on individual life has been prominent and clear, involving engaged in the field of work, education where students can easily study by saving time and effort, health and social life, this is on the positive side.7 The negative aspect of using the smart device is that it may clearly affect the behavior and thinking of the individual in a negative and faster way. It does so precisely and confidentially that it becomes difficult to identify and deal with. It can also be said that smart phones have the ability to influence the decision-making process. Smartphone addiction is a well-known condition where trauma causes high-level anxiety pain, low productivity and affects an individual's emotional health. Also, another study mention that "addiction is common when the matter is related to smart phones, teenagers feel they are in need to keep in touch with other all the time. It is common to see teenagers exhausted of the long hours spent on Smartphone, be it games or surfing net. It impacts the digestion, breathing
  • 2. 29 This work is licensed under Creative Commons Attribution 4.0 International License. ISSN: 2349-8889 Volume-6, Issue-6 (November 2019) https://doi.org/10.31033/ijrasb.x.x.x International Journal for Research in Applied Sciences and Biotechnology www.ijrasb.com rate and heart beat rate. Smart phones have become a new enemy to our sleep in terms of quality and time.8 Where indicated to there are bad effects on teenagers for using smart devices in terms of content, duration and repetition seems to pose health risks such as growth problems, muscle and bone problems, obesity , physical inactivity, lack of sleep. In addition, many other effects on teenagers whether they are physical or psychological.9 Statement of Problem: Impact of Smart Devices among Adolescents Life Style in Al Najaf Al Ashraf City 1. To identify the Adolescents Life Style 2. To assess Adolescents Life Style with Smart Devices 3. To find out the association between the adolescents life style with smart devices and some of socio- demographic data. Design of the Study: Quantitative research non probability (purposive sample)from5 September to 10 November 2019. Setting of the Study: The study was carried out in secondary schools in Al-Najaf Al-Ashraf city The Sample of the study: A purposive sample of (300) adolescents, were taken from secondary schools in Al-Najaf Al-Ashraf city. II. RESULTS Table 1: Socio-demographic data of the study sample Percentage (%)Frequency (total 300) Groups 64.519312- 15 Age (years) 35.510616 – 19 72.2216MaleGender 27.883Female 76.3228Primary SchoolChildren Educational Level 18.455Secondary School 5.416Preparatory School 36.5109FirstChild number in the family 41.1123Middle 20.762Last 6.720IlliterateFather educational Level 28.184Read and Write 10.431Primary School 18.154Secondary School 12.738Preparatory school 19.157College and Institute 5.015Postgraduate 10.732IlliterateMother educational Level 30.892Read and Write 16.148Primary School 18.154Secondary School 10.030Preparatory school 11.033College and Institute 3.310Postgraduate 41.5124EmployeeFather job 44.8134free work 13.741Doesn't 18.455EmployeeMother job 81.6244House wife Table1 shows that more than 64% of the study sample between age group (12- 15) years old, (72.2%) are males, (76.3%) from them are primary school graduated, regarding to child number in the family (41.1%) of the study sample is middle, according to educational level for father, (28.1 ) from them is read and write, while education level for mother (30.8%) of the study sample is able to read and write, For the father's job and (44.8 %) from them are free work, while the mother's job (81.6 %) is house wife.
  • 3. 30 This work is licensed under Creative Commons Attribution 4.0 International License. ISSN: 2349-8889 Volume-6, Issue-6 (November 2019) https://doi.org/10.31033/ijrasb.x.x.x International Journal for Research in Applied Sciences and Biotechnology www.ijrasb.com Table 2: The observed frequencies and percentages of subjects' groups according to smart devices uses Percentage (%)Frequency (total 29) Groups 57.5172Smart phone Type of Smart Devices 6.419Tablet 14.042Smart TV 3.09Smart watch 6.018Media and audio player 13.039Laptop 43.51301 – 2 hours a dayTime used 30.8923 – 4 hours a day 14.4435 – 6 hours a day 11.434> 7 hours a day 79.9239at homeLocation of uses 14.042outside the house with my friends . 6.018outside the house in the shops allocated for it This table reveals that the type of smart devices uses, (57.5 %) from participant use smart phone. Concerning to time used, (43.5%) from them spend about 1-2 hours a day, regarding to location of uses (79.9%) uses at home. Table 3: The observed frequencies and percentages of subjects' groups according to psychological lifestyle with smart devices Ass.MSPercentageFreq. (total 300) pass 2.44 5.416alwaysSuffering from distraction and day dreams. 45.5136Sometimes 49.2147Never pass 2.34 7.723alwaysFail to complete the tasks that he /she starts. 50.2150Sometimes 42.1126Never pass 2.52 8.726alwaysTells unreal stories. 31.193Sometimes 60.2180Never pass 2.26 12.437alwaysNever listens to the instructions that have been given to him. 48.8146Sometimes 38.8116Never pass 2.04 24.774alwaysAlmost busy with himself, his fingers, clothes and hair. 46.5139Sometimes 28.886Never pass 2.48 9.729alwaysEasy to be controlled by others. 32.898Sometimes 57.5172Never pass 2.19 18.455alwaysHis/her thinking is being distracted due to stimulation in an abnormal way. 43.8131Sometimes 37.8113Never pass2.0821.464alwaysForgets things or an important
  • 4. 31 This work is licensed under Creative Commons Attribution 4.0 International License. ISSN: 2349-8889 Volume-6, Issue-6 (November 2019) https://doi.org/10.31033/ijrasb.x.x.x International Journal for Research in Applied Sciences and Biotechnology www.ijrasb.com 49.5148Sometimesobjects. 29.187Never pass 2.53 7.723alwaysForgets things or an important objects. 31.494Sometimes 60.9182Never pass 2.22 14.744alwaysAvoids difficult tasks that require a long time. 48.5145Sometimes 36.8110Never AcceptableMS : 2.31 Overall assessment of psychological lifestyle with smart devices RS : 77% Cutoff point = 2; pass >= 2; fail < 2 Table 3 shows that assessment for subjects' groups according to psychological lifestyle with smart devices. In relation to all of variable have pass assessment. While overall assessment of psychological lifestyle with smart device are acceptable. Table 4: Statistical distribution of the study sample according to social lifestyle with smart devices Ass.MSPercentageFreq. pass 2.59 3.711alwaysExcessive annoyed nonobjective behaviors. 34.1102Sometimes 62.2186Never pass 2.39 12.437always Jogging, jumping and climbing. 36.5109Sometimes 51.2153Never pass 2.70 2.37alwaysDamaging stuff and disarranging them due to imitation of games that he/she watches. 25.175Sometimes 72.6217Never pass 2.78 4.012always Escaping from home to go to the games hall. 14.443Sometimes 81.6244Never pass 2.53 7.723alwaysLikes to fight with others . 31.494Sometimes 60.9182Never pass 2.79 2.78alwaysTough on animals. 15.747Sometimes 81.6244Never pass 2.59 5.015alwaysDoesn't come along with his/her peers. 31.494Sometimes 63.6191Never pass 2.70 4.012alwaysNot cooperating with others. 22.467Sometimes 73.6220Never pass 2.90 2.06alwaysSteals things . 4.413Sometimes 93.6278Never pass 2.80 2.78alwaysHarsh and his/her behaviors are wild. 14.744Sometimes 82.6247Never pass 2.58 6.018alwaysRebellious, stubborn and naughty. 29.889Sometimes 64.2192Never
  • 5. 32 This work is licensed under Creative Commons Attribution 4.0 International License. ISSN: 2349-8889 Volume-6, Issue-6 (November 2019) https://doi.org/10.31033/ijrasb.x.x.x International Journal for Research in Applied Sciences and Biotechnology www.ijrasb.com pass 2.85 3.711alwaysCan do a bad behavior against the society like fire ignition. 7.422Sometimes 89.0266Never pass 2.92 2.06alwaysCan have sex with others. 4.012Sometimes 94.0281Never pass 2.76 3.711alwaysPractice bullying upon his colleagues. 16.750Sometimes 79.6238Never pass 2.29 14.443alwaysAvoid apology. 42.5127Sometimes 43.1129Never GoodMS : 2.678 Overall assessment of social lifestyle with smart devices RS : 89.62 % Table 4 indicate that assessment for subjects' groups according social lifestyle with smart devices. In relation to all of variable have pass assessment. In regard to overall assessment of social lifestyle with smart devices are good. Table 5: Statistical distribution of the study sample according to physical domain of lifestyle Ass.MS%Freq. (total 300) Items pass 2.60 4.714always I find it difficult to walk . 30.491Sometimes 64.9194Never pass 2.53 4.313always I find it difficult to run . 38.8116Sometimes 56.9170Never pass 2.40 6.018always I find it difficult in doing daily activity . 47.5142Sometimes 46.5139Never pass 2.46 7.422always I find it difficult to lift heavy objects . 39.5118Sometimes 53.2159Never pass 2.70 5.015always I find it difficult to shower myself . 20.461Sometimes 74.6223Never pass 2.38 9.729always I find it difficult to do everyday tasks . 41.9125Sometimes 48.3144Never pass 2.35 8.726always I find it difficult feeling pain in the areas of the body . 47.8143Sometimes 43.5130Never pass 2.28 11.434always I find it difficult to save energy . 48.8146Sometimes 39.8119Never pass 2.2214.042always Do not get enough sleep at night . 49.5148Sometimes
  • 6. 33 This work is licensed under Creative Commons Attribution 4.0 International License. ISSN: 2349-8889 Volume-6, Issue-6 (November 2019) https://doi.org/10.31033/ijrasb.x.x.x International Journal for Research in Applied Sciences and Biotechnology www.ijrasb.com 36.5109Never pass 2.35 15.446always You believe that your use of smart devices has caused your nutritional status to deteriorate . 34.1102Sometimes 50.5151Never AcceptableMS : 2.427 Overall assessment of physical domain of lifestyle RS : 80.9 % This table reveals that the assessment for subjects' groups according physical domain of lifestyle have pass assessment all of variable. In regard to overall assessment of physical domain of lifestyle are acceptable. Table 6: Dependence association between Demographic data and social lifestyle with smart devices No. Items Chi-square (p-value) Age Gender Child. Educa. Level Child No. in the famil y 1. 1 Excessive annoyed nonobjective behaviors. 0.125 -.324 0.253 0.110 2. 2 Jogging, jumping and climbing. 0.346 -.352 0.317 0.155 3. 3 Damaging stuff and disarranging them due to imitation of games that he/she watches. 0.552 -.234 0.083 0.133 4. 4 Escaping from home to go to the games hall. 0.233 0.000 0.228 0.342 5. 5 Likes to fight with others . 0.167 .010 0.224 0.287 6. 6 Tough on animals. 0.457 .022 0.147 0.143 7. 7 Doesn't come along with his/her peers. 0.393 -.194 0.289 0.195 8. 8 Not cooperating with others. 0.360 0.025 0.205 0.183 9. 9 Steals things . 0.112 0.116 0.110 0.362 10. 10 Harsh and his/her behaviors are wild. 0.105 0.125 0.115 0.110 11. 11 Rebellious, stubborn and naughty. 0.153 0.233 0.133 0.115 12. 12 Can do a bad behavior against the society like fire ignition. 0.622 0.422 0.322 0.133 13. 13 Can have sex with others. 0.097 0.025 0.087 0.322 14. 14 Practice bullying upon his colleagues. 0.163 0.015 0.143 0.087 15. 15 Avoid Apology 0.279 .0795 0.174 0.143 p-value < 0.05 : significant relationship This table reveals that there is a significant relationship between social lifestyle with smart devices in items as numbered (4, 8, 13 and 14) with gender at p- value (0.000, 0.025, 0.025 and 0.015) respectively, while there is a non-significant relationship between social lifestyle with remaining demographic data. Table 7: Relationship between lifestyle domains and each of psychosocial and social lifestyle with smart devices No. Items psychosocial lifestyle with smart devices (p-value) social lifestyle with smart devices (p-value) 1- 1 Physical activity 0.000 0.000 2- 2 Occupation 0.899 0.788 3- 3 Stress 0.552 0.046 p-value < 0.05 : significant relationship
  • 7. 34 This work is licensed under Creative Commons Attribution 4.0 International License. ISSN: 2349-8889 Volume-6, Issue-6 (November 2019) https://doi.org/10.31033/ijrasb.x.x.x International Journal for Research in Applied Sciences and Biotechnology www.ijrasb.com This table reveals that the high significant relationship between physical activity and lifestyle domains (psychosocial and social lifestyle with smart devices)at p-value (0.000). Also there is a statistically significant relationship between social life style with stress p-value (0.046). III. DISCUSSION In the present study, table (1) shows that Socio- demographic data of the study sample. In relation to age of participants, more than half of them between age group (12- 15) old years. Regarding to the gender, the findings show that gender (72.2%) are males. In regard to educational level for children, the results indicate that more than half are graduated from primary school. Concerning to education level of father and mother the study findings that about a third of participants can be able read & Write (28.1%), (30.8%) respectively. For the job of father and mother, the study result found that (44.8 %) from father had free works, as for the mother, most of them were house wife. According to the results show in table 2, type of smart devices uses, more than half from participant use smart phone. This agreement with result done by Nath, (2018) reported that the majority of sample use smart phone. Concerning to time used, (43.5%) from them spend about 1-2 hours a day and highest percent of them use smart devices in their homes.8 In (tables 3, 4 and 5) indicate that the study sample have pass assessment related all domain. In regard to overall assessment of psychological, physical and social domain with smart devices are acceptable or good. About table 6 in the study indicate that there is a significant relationship between social lifestyle with smart devices in items as numbered (4, 8, 13 and 14) with adolescent gender at p-value (0.000, 0.025, 0.025 and 0.015) respectively, while there is a non-significant relationship with remaining demographic data. Table 7 shows that high significant relationship between physical activity and lifestyle domains (psychosocial and social lifestyle with smart devices). Also there is a statistically significant relationship between social lifestyle with stress p-value (0.046). Evidence suggests that the use of technology has changed physical activity, especially if the use of technology is particularly excessive as it replaces nighttime sleep. In a study on children and adolescent, it was found that 37% of the them had a low active play level, 65% had high screening time(television, computer, tablet, phone, etc.), and 26% had a combination of these two.10 IV. CONCLUSION 1 - The result of this study indicated that more than half of the study sample were males, between age group (12- 15) years old and most of them graduated from primary school. 2 - The study confirms that there is a significant negative impact on psychological aspect. so that these devices affect the psychological state of the teenager negatively. 3 - The study indicate that there was a very significant impact on the social aspect of adolescents so that these devices cause social isolation. The study confirms that these devices have a high impact on the physical side; it causes obesity and lack of movement in adolescents if used moderately. V. RECOMMENDATION 1 - Preferably rationalize the acquisition and use of adolescent smart devices under the direct and continuous supervision of the guardian. 2 - Enhancing the role of the parents in educating the adolescent about the harm caused by smart device. 3 - Parents should allocate specific time to treat the teenager with smart devices, and be after ending his or her educational and social requirements. 4 - Provide sports activities, social and scientific by the family of the teenager, through which invest his time and reduce his recourse to these devices to fill his spare time. Declaration of interest: Nil. Source of Funding: Self. Ethical Clearance: After the approval of protocol by the Ethical Review Board, faculty of nursing/ university of kufa/Iraq and before enrollment, all subjects gave their verbal approval. REFERENCES [1] Kwok, S., Lee, P., & Lee, R. (2017). Smart device use and perceived physical and psychosocial outcomes among Hong Kong adolescents. International Journal of Environmental Research and Public Health, 14(2), 205 [2] Centraal Bureau voor de Statistiek. (2013). Mobile Internet Use Continues to Grow; Statistics Netherlands Press ReleasePB12-060: Den Haag, The Netherlands. [3] Rideout, V.J. Zero to Eight: Children’s Media Use in America ; Common Sense Media: San Francisco, CA, USA, 2013. [4] Sarwar, M., & Soomro, T. R. (2013), Impact of smartphone’s on society. European Journal of Scientific Research, 98(2), 216-226. [5] Lemola, S., Perkinson-Gloor, N., Brand, S., Dewald-Kaufmann, J. F., & Grob, A. (2015). Adolescents’ electronic media use at night, sleep disturbance, and depressive symptoms in the smartphone age. Journal of Youth and Adolescence, 44(2), 405-418. [6] Kibona, L., & Mgaya, G. (2015). Smartphones’ effects on academic performance of higher learning students. Journal of Multidisciplinary Engineering Science and Technology, 2(4), 777-784.
  • 8. 35 This work is licensed under Creative Commons Attribution 4.0 International License. ISSN: 2349-8889 Volume-6, Issue-6 (November 2019) https://doi.org/10.31033/ijrasb.x.x.x International Journal for Research in Applied Sciences and Biotechnology www.ijrasb.com [7] Nurfit,SmarphoneAddiction and Impact on Society, Available at: http://nurfitriah.wordpress.com/2012/03/25/smarphone- addiction/ [8] Asoke Nath. (2018). Comprehensive study on negative effects of mobile phone/ smart phone on human health. International Journal of Innovative Research in Computer and Communication Engineering, 6(1), 575- 581 [9] Rüstem Mustafaoğlu, Emrah Zirek, Zeynal Yasac & Arzu Razak Özdinçler. (2018). The negative effects of digital technology usage on children’s development and health, ADDICTA: The Turkish Journal on Addictions, 5(2), 227–247 [10] Anderson, S. E., & Whitaker, R. C. (2010). Household routines and obesity in US preschool-aged children. Journal of the American Academy of Pediatrics, 125(3), 420–428.