Gadgets and Sleep Problems are Causes of Neck Pain in Young Adults
Universitas Pelita
Harapan, Tangerang-Banten, Indonesia
Email: made.inggas@lecturer.uph.edu
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KEYWORDS |
ABSTRACT |
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neck pain, sleep quality, latency of tifur,
duration of gadget use |
Neck pain affects two-thirds of the population, disrupting daily
activities. In young adults, it can reduce quality of life and productivity.
While risk factors for neck pain are known, the impact of sleep quality and
gadget use on its incidence in Generation Z is less studied. This study aimed
to determine the effect of sleep quality and gadget use on neck pain in young
adults. A cross-sectional, unpaired categorical comparative analysis was
conducted on preclinical students of the Faculty of Medicine, Universitas
Pelita Harapan (class of 2020-2022). Neck pain incidence was assessed using
the Nordic Musculoskeletal Questionnaire; sleep quality was measured with the
Pittsburgh Sleep Quality Index; and gadget use duration was evaluated with
the Screen Time Questionnaire. Data were analyzed using SPSS 26 and
Chi-Square analysis. A significant relationship was found between sleep
latency and neck pain (P < 0.001; OR = 3.210), sleep disturbances and neck
pain (P = 0.030; OR = 3.106), and gadget use duration on weekdays and neck
pain (P = 0.048; OR = 1.781). Sleep latency, sleep disturbances, and the
duration of gadget use are significantly associated with neck pain in young
adults. |
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DOI:
10.58860/ijsh.v3i9.235 |
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Corresponding
Author: Made Agus Mahendra Inggas*
Email: made.inggas@lecturer.uph.edu
INTRODUCTION
Two-thirds of
the population has experienced neck pain, so neck pain has been a common
complaint
Pain is a
protective mechanism to prevent further tissue injury. Neck pain is pain that
occurs in the region bounded by the superior linea nuchalis from the posterior
side, the lateral border of the neck from the lateral side, and by the
transverse imaginary line passing through the spinous process from the inferior
side
Sleep is
defined as the stage of unconsciousness produced by the body in which the brain
is in a phase of rest relative to internal stimuli and reactive to internal
stimuli
The frequency
of gadget use has increased significantly after the COVID-19 pandemic forced
the implementation of physical distancing. In Indonesia, the duration of online
meetings after the COVID-19 pandemic increased by 52% compared to before the pandemic.
Since then, most people have done all their activities, such as social
activities, studying and working online using gadgets. Among young adults,
especially students, gadgets are used as a source of information,
communication, recreation, to learning and doing assignments. In some studies,
it was found that the increase in the duration of gadget use was associated
with the incidence of neck pain in college students or young adults.
Gadgets or
gadgets, according to the Oxford Learner's Dictionary, are tools that can do
something useful
Previous
studies have found that there is a relationship between sleep quality, duration
of gadget use, and physical activity levels to the incidence of neck
pain7,9,11. However, there has been no research on this in young adults,
especially among students in Generation Z. The research aims to investigate the
relationship between sleep quality, gadget use, and the incidence of neck pain
among young adults, specifically focusing on Generation Z students.
METHOD
The study
design uses unpaired categorical comparative analytical research with a
cross-sectional method conducted through the distribution of online
questionnaires from January to March 2023. Informed consent questionnaire,
Nordic Musculoskeletal Questionnaire (NMQ), Pittsburgh Sleep Quality Index
(PSQI), and screen time visit by 241 respondents of preclinical students of the
Faculty of Medicine, Universitas Pelita Harapan class of 2020-2022. The
inclusion criteria are students who are willing to be a research sample and
fill out the questionnaire completely. The exclusion criteria in this study are
students who have a history of cervical trauma, surgery in the neck area and/or
pathological abnormalities that can cause neck pain
Nordic Musculoskeletal
Questionnaire (NMQ)
The Nordic
Musculoskeletal Questionnaire (NMQ) is a questionnaire instrument commonly used
to assess musculoskeletal disorders. This questionnaire can detect and analyze musculoskeletal
symptoms in several different parts of the body, namely in the neck, shoulders,
elbows, wrists, upper back, lower back, pelvis, knees, and ankles
Pittsburgh Sleep Quality
Index (PSQI)
A person's
sleep quality can be measured using a questionnaire called the Pittsburgh Sleep
Quality Index (PSQI). This questionnaire consists of 24 questions divided into
7 components, namely subjective sleep quality, sleep latency, sleep duration,
sleep efficiency, sleep disorders, use of sleeping pills and Daytime
Dysfunction. Each component produces a value in the range of 0-3. The scores of
the seven components were summed up, ranging from 0-21, with higher scores
indicating poorer sleep quality. The results of this questionnaire are
categorized into poor sleep quality, namely, with a score above 5 and good
sleep quality, with a score below 56.
Screen Time Questionnaire
The screen
time questionnaire was created to measure the use of screen-based devices. In
this questionnaire, the devices are categorized into 5 categories, namely TVs,
TV-connected devices, laptops/computers, smartphones, and tablets. This
questionnaire consists of 18 points to measure the duration of use of the
device. Respondents were asked to estimate the total time spent in minutes.
Because the duration of layer-based device use varies per day, the average
duration on weekdays, weeknights and weekends (Saturday and Sunday) is assessed
separately27. The results of this questionnaire were interpreted into 2
categories, namely moderate intensity (< 56 hours/week) and high intensity
(≥56 hours/week). In this screen time questionnaire, gadget usage of 1-6
hours/day is categorized as low. The use of gadgets 7-11 hours/day is
categorized as high.
RESULT AND DISCUSSION
Of the total
251 students who received the questionnaire, 241 respondents were included in
the inclusion criteria and showed an overview of the characteristics according
to Table 1.
Table 1.
Characteristics of
Respondents
|
Characteristic
|
Frequency
(n) |
Percentage
(%) |
|
Gender
|
||
|
Woman |
179 |
71,3 |
|
Man |
72 |
28,7 |
|
Age
(years) |
||
|
17-20 |
219 |
87,3 |
|
21-27 |
32 |
12,7 |
|
History
of trauma to the neck |
||
|
Exist |
6 |
2,4 |
|
None |
245 |
97,6 |
|
History
of surgery in the neck |
||
|
Exist |
1 |
0,4 |
|
None |
250 |
99,6 |
|
History
of pathological disorders that may cause neck pain |
||
|
Exist |
4 |
1,6 |
|
None |
247 |
98,4 |
There were 179
(71.3%) female and 72 (28.7%) male. The respondents
were aged 17-27 years. The most were 20 years old, namely 85 (33.9%)
respondents, followed by 18 years old 72 (28.7%) and 19 years old 57 (22.7%).
The respondents of the class of 2020 were 95 (38.8%) students, the class of
2021 was 55 (21.9%) students and in 2022, there were 101 (40.2%) students. 11
respondents with exclusion criteria consisting of 6 (2.4%) respondents because
they have a history of trauma to the neck, 1 (0.4%) respondents
have a history of surgery on the neck and 4 (1.6%) respondents have a history
of pathological disorders that can cause neck pain.
The results of
the Nordic Musculoskeletal Questionnaire showed that 121 (50.2%) respondents
felt pain, pain or discomfort in the neck, and as many as 120 (49.8%)
respondents did not have these complaints. In the conclusion of the PSQI
questionnaire, in general, most respondents had good subjective sleep quality
(component 1), which was 139 (57.7%) respondents. In sleep latency (component
2), most respondents had a low score, which was 101 (41.9%) respondents. A
total of 104 (43.2%) respondents had a lack of sleep duration (component 3).
The majority of respondents, namely 182 (75.5%), had good sleep efficiency
(component 4). Component 5 shows the score of sleep disturbances experienced by
respondents. Component 6 shows the use of sleeping pills where the majority of
respondents, namely 232 (96.3%) have not used sleeping pills in the past month.
Component 7 shows the score for daytime dysfunction experienced by respondents.
The PSQI global score shows the overall questionnaire results, which are
cumulative of the seven components. A total of 182 (75.5%) respondents had poor
sleep quality, and 59 (24.5%) respondents had good sleep quality.
Table 2.
Results of the Statistical
Test of the Relationship between Sleep Latency and Neck Pain
|
Sleep
Latency |
No
Neck Pain |
Neck
pain |
Total |
OR
(95%CI) |
P
Value |
|||
|
n |
% |
n |
% |
n |
% |
|||
|
Low |
104 |
56,2 |
81 |
43,8 |
185 |
100 |
3,210
(1,678 - 6,139) |
<0.001 |
|
Tall |
16 |
28,6 |
40 |
71,4 |
56 |
100 |
||
|
Total |
120 |
49,8 |
121 |
50,2 |
241 |
100 |
||
Table 2
illustrates the results of the statistical test of the relationship between
sleep latency and the incidence of neck pain using the chi-square method. The
results of chi-square analysis showed that there was a significant relationship
between sleep latency and the incidence of neck pain with a P value of <
0.001. The Odds Ratio value of 3.210 indicates that a person with poor sleep
latency has a 3.210 chance of experiencing neck pain.
Table 3.
Results of
the Statistical Test of the Relationship between Sleep Disorders and Neck Pain
|
Sleep
Disorders |
No
Pain |
Neck
pain |
Total |
OR
(95%CI) |
P
Value |
|||
|
n |
% |
n |
% |
n |
% |
|||
|
Not |
114 |
52,3 |
104 |
47,7 |
218 |
100 |
3,106
(1,180 - 8,176) |
0,030 |
|
Yes |
16 |
26,1 |
17 |
73,9 |
182 |
100 |
||
|
Total |
120 |
49,8 |
121 |
50,2 |
241 |
100 |
||
Table 3
illustrates the results of the statistical test of the relationship between
sleep disturbances and the incidence of chi-square neck pain. The results of
chi-square analysis showed that there was a significant relationship between
sleep disorders and the incidence of neck pain with a P value = 0.030. The Odds
Ratio value is 3.106, indicating that a person with sleep disorders has a
probability of 3.106 to experience neck pain.
Table 4.
Results of the Statistical
Test on the Relationship between the Duration of PC/Laptop Use on Weekdays and
Neck Pain
|
Duration
of PC Usage |
No
Neck Pain |
Neck
pain |
Total |
OR
(95%CI) |
P
Value |
||||||||
|
n |
% |
n |
% |
n |
% |
|
|||||||
|
Low |
86 |
54,8 |
71 |
45,2 |
157 |
100 |
1,781
(1,041 - 3,048) |
0,048 |
|
||||
|
Tall |
34 |
40,5 |
50 |
59,5 |
84 |
100 |
|
||||||
|
Total |
120 |
49,8 |
121 |
50,2 |
241 |
100 |
|
||||||
The results of
the Screen Time questionnaire show that the use of gadgets with the highest
duration is the use of smartphones on weekdays, as many as 121 (50.2%)
respondents; at night, as many as 41 (17.0%) respondents; and on weekends as
many as 116 (48.1%) respondents, followed by the use of computers/laptops on
weekdays as many as 84 (34.9%) respondents. The majority of respondents had low
background screen time, which was 185 (80.9%) on weekdays, 222 (92.1%) at night,
and as many as 201 (83.4%) on weekends. Table 4 shows the results of the
statistical test of the relationship between the duration of PC/laptop use on
weekdays and the incidence of neck pain using the chi-square method. The
results of the chi-square analysis showed that there was a significant
relationship between the duration of PC/laptop use on weekdays and the
incidence of neck pain with a P value = 0.048.
An Odds Ratio value of 1.781 indicates that a person with a high
duration of PC/laptop use on weekdays has a 1.781 chance of experiencing neck
pain.
This study
included 251 students, but only 241 met the inclusion criteria and were not
included in the exclusion criteria. The respondents consisted of 179 women and
72 men with an age range of 17-27 years. Of the 241 samples, 121 (50.2%) had
neck pain complaints in the past 12 months, and 120 (49.8%) samples had no neck
pain complaints. This result is in accordance with research conducted by Jahre,
et al
The results of
the analysis of the relationship between sleep quality and neck pain conducted
using the chi-square method showed that there was no significant relationship
(P = 0.35) between poor sleep quality and the incidence of neck pain, but a
person with poor sleep quality was more likely to experience neck pain (OR =
1.386). The results of this study are similar to the previous study conducted
by Auvinen, et al
In this study,
an analysis was carried out of the relationship between seven components of
sleep quality assessed using the Pittsburg Sleep Quality Index (PSQI)
questionnaire and the incidence of neck pain. Of the seven components, there
are two components that have a significant relationship, namely sleep latency
and sleep disorders, by showing significant results (P < 0.001 and P = 0.3,
respectively). Sleep latency is the time it takes for a person to fall asleep.
Meanwhile, the sleep disorders in question are disturbances such as waking up
in the middle of the night, waking up to go to the bathroom, difficulty
breathing properly, coughing or snoring, cold or overheating at night,
nightmares, pain, and others. Poor sleep quality can contribute to the
occurrence of musculoskeletal pain in a person. Some studies have found that
poor sleep increases tiredness and pain
The Screen
Time questionnaire provides an overview of the duration of use of various
gadgets and background screen time at different times
The duration
of use of the gadget affects how long the muscles in the neck are in a flexion
position. A study by Straker, et al
The advantage
of this study is that there have not been many studies that have examined the
relationship between independent variables in studies similar to those on neck
pain specifically; the majority have examined the relationship with
musculoskeletal pain as a whole. In this study, data collection for the
duration of gadget use used a screen time questionnaire, where the use of
various types of gadgets at different times can be distinguished
CONCLUSION
It was found
that sleep quality was influenced by latency and sleep disturbances on the
incidence of neck pain. There was an influence of the duration of use factor
Gadgets in the form of PCs/laptops on weekdays to the incidence of neck pain in
young adults of generation Z. Acknowledgement: Awards and thanks were given to
Mirela Emmanuela for her assistance in data collection and processing; to
Jeremiah Hilkiah Wijaya for the help of reviewing and editing the manuscript
until this article can be completed.
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Creative Commons Attribution (CC BY SA) license (https://creativecommons.org/licenses/by-sa/4.0/). |