Abstract:
Purpose: The purpose of the study was to determine the characteristics of
musculoskeletal complaints among undergraduate students using digital devices for
online classes. Objectives: The study objective was to demonstrate the sociodemographic characteristics related to musculoskeletal complain, to examine the
prevalence of musculoskeletal complain, to determine the relationship between pain
intensity and site of pain with related independent variables. Methodology: The
dissertation was an observational study with a cross-sectional study design. From June
2021 to September 2021, a total of 239 university students responded to the online
survey. Inclusion criteria were age group between 18-26 years, any existing
congenital disability, and existing musculoskeletal complaint more than 1.5 years.
Participants were selected by snowball sampling. All data were collected through an
online semi-structured questionnaire having socio-demographic, physical factors,
home or environment-related factors, and pain as the musculoskeletal complaint in the
VAS scale and characteristics of pain distribution. A statistical test has been
conducted as per the distribution of data. Descriptive statistics were performed by
mean, SD, frequency, and percentage. Inferential statistics has been performed by
Chi-square, independent t-test, One way ANOVA, and Pearson correlation test.
Binary logistic regression has been performed as predictor variables as pain
(absent/present), pain intensity & site of pain. Here Alpha (α) value has been set as
<0.05. Results: Among the respondents, 239 students took part in this study. Mean &
SD of overall age was 21.41±1.56 BMI was 22.62±3.76. The prevalence of
musculoskeletal pain was found to be 78.25 percent (n=187). Where 42.8 percent
(n=80) were male and 57.2 percent (n=107) females had musculoskeletal pain.
Female participants experienced more musculoskeletal pain than male participants.
26.7 percent had neck pain, 9.6 percent had shoulder pain, 4.8 percent had elbow pain,
4.3 percent had wrist pain, 17.1 percent had thoracic pain, 32.6 percent had lumbar
pain, 3.2 percent had knee pain, and 1.6 percent had ankle pain. Participants claimed
that their prolonged online time was to blame for their various sites of pain.
Association found between feel during online class with pain present/absent; Physical
activity level, Follow posture during online class, using an electronic device during
online class, using electronic device except for online classes with pain intensity.
v
Binary regression has been found that-feel during online class (OR=2.049), linear
relationship between feeling uncomfortable with pain present. Physical activity level
(OR=1.210), follow posture during online class (OR=1.877), Using electronic device
during online class (OR=1.640); the linear relationship between physical activity
level, follow posture, Using electronic device during online class with pain intensity.
Using electronic devices except for online classes (β=-.015), the reverse relationship
between using electronic devices except for online classes with pain intensity was
related to musculoskeletal complaints. Conclusion: Most of the participants are
suffering musculoskeletal complaints due to using digital devices in online classes.
Keywords: Musculoskeletal complaint, online class, University student, Pandemic
situation (Covid-19).
Description:
This dissertation is submitted in partial fulfillment of the requirements for the Degree of Bachelor of Science in Physiotherapy, Bangladesh Health Professions Institute, Faculty of Medicine, the University of Dhaka, Bangladesh.