Neck Pain among Medical Students during COVID-19 Pandemic: A Questionnaire Based Study

Otaibi, Bader Dubian Al; Alamri, Rayan Dhaif Allah A.; Alzahrani, Mujahed Abdullah; Albalawi, Rana Mohammed; Alzhrani, Khlood Abdullah; Alzahrani, Khames T.

doi:10.9734/jpri/2021/v33i50b33441

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…For example, the study reported in Ref. [ 14 ] on a sample of 26126 students confirmed neck pain occurrence. In particular, this study aimed to demonstrate the prevalence of neck pain, mainly in medical students, that could be ascribed to electronic device usage during the COVID-19 pandemic.…”

Section: Introductionmentioning

confidence: 88%

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Social Media Devices’ Influence on User Neck Pain during the COVID-19 Pandemic: Collaborating Vertebral-GLCM Extracted Features with a Decision Tree

et al. 2023

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The prevalence of neck pain, a chronic musculoskeletal disease, has significantly increased due to the uncontrollable use of social media (SM) devices. The use of SM devices by younger generations increased enormously during the COVID-19 pandemic, being—in some cases—the only possibility for maintaining interpersonal, social, and friendship relationships. This study aimed to predict the occurrence of neck pain and its correlation with the intensive use of SM devices. It is based on nine quantitative parameters extracted from the retrospective X-ray images. The three parameters related to angle_1 (i.e., the angle between the global horizontal and the vector pointing from C7 vertebra to the occipito-cervical joint), angle_2 (i.e., the angle between the global horizontal and the vector pointing from C1 vertebra to the occipito-cervical joint), and the area between them were measured from the shape of the neck vertebrae, while the rest of the parameters were extracted from the images using the gray-level co-occurrence matrix (GLCM). In addition, the users’ ages and the duration of the SM usage (H.mean) were also considered. The decision tree (DT) machine-learning algorithm was employed to predict the abnormal cases (painful subjects) against the normal ones (no pain). The results showed that angle_1, area, and the image contrast significantly increased statistically with the time of SM-device usage, precisely in the range of 2 to 9 h. The DT showed a promising result demonstrated by classification accuracy and F1-scores of 94% and 0.95, respectively. Our findings confirmed that the objectively detected parameters, which elucidate the negative impacts of SM-device usage on neck pain, can be predicted by DT machine learning.

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Section: Introductionmentioning

confidence: 88%

“…The impact of SM usage on neck pain prevalence during the spread of COVID-19 pandemic has been reported in many survey-based studies [ 14 , 15 , 16 , 17 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

Social Media Devices’ Influence on User Neck Pain during the COVID-19 Pandemic: Collaborating Vertebral-GLCM Extracted Features with a Decision Tree

et al. 2023

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Prevalence of Neck Pain and Disability in Medical Students of Sialkot

Ghafoor,

Faiz,

Ayesha

et al. 2024

PBMJ

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Neck pain is a pervasive musculoskeletal disorder and one of the leading causes of disability worldwide. It ranks as the fourth most typical cause of disability. Objectives: To determine the prevalence of neck pain and disability in medical students of Sialkot. Methods: It was cross-sectional study and simple random sampling technique was used. 465 male/female medical student 18–25-year-old were participated. Subjects with other neck pathologies like cervical stenosis were excluded. Data were collected from three different institutes of Sialkot i.e., University of Sialkot, Sialkot College of Physical Therapy and University of Management and Technology. Northwick Park Neck Pain Questionnaire was used to collect data. Study ran from 20 May to 22 September 2021.Statsitical analysis done through SPSS version 20. Histogram, bar charts used to display data. Ethical approval obtained from institute before conducting research. Results: Results were calculated using Northwick Park Neck Pain Questionnaire (NPQ) percentages. 15.9% had no disability, 58.1% had mild disability, and 19.4% had moderate disability while 6.7% were suffering from severe disability. The overall neck pain prevalence was 58.1% and it caused mild disability in medical students. Conclusions: It is concluded that neck pain is quite common among medical students as more than half of participants were suffering from this issue. Lifting heavy objects being in uncomfortable posture during daily activities and reading for extended hours aggravate the pain. Occasional disturbance of sleep was also noted.

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Neck Pain among Medical Students during COVID-19 Pandemic: A Questionnaire Based Study

Cited by 2 publications

References 13 publications

Social Media Devices’ Influence on User Neck Pain during the COVID-19 Pandemic: Collaborating Vertebral-GLCM Extracted Features with a Decision Tree

Social Media Devices’ Influence on User Neck Pain during the COVID-19 Pandemic: Collaborating Vertebral-GLCM Extracted Features with a Decision Tree

Prevalence of Neck Pain and Disability in Medical Students of Sialkot

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