Association between Psychological Stress and Neck Pain among College Students during the Coronavirus Disease of 2019 Pandemic: A Questionnaire-Based Cross-Sectional Study

Chronic Neck Pain Prevalence Before and After COVID-19 Restrictions and Its Relationship With Digital Device Screen Viewing: A Population Study

OBJECTIVE

To estimate the prevalence of chronic neck pain (CNP) among the adult population in Peru during the post-coronavirus disease 2019 (COVID-19) restriction period compared with that during the pre-pandemic period and evaluate its association with prolonged digital devices connected to the internet (DDCI) screen viewing.

METHODS

We conducted a cross-sectional study using a representative sample of adults living in Peru in November 2022. A structured survey was employed to identify CNP, and the exposure variable was set as the duration of DDCI screen viewing. The McNemar test was used to compare CNP prevalence pre- and post-COVID-19 restrictions, and ordinal logistic regression was used to evaluate its association with prolonged screen viewing.

RESULTS

A total of 1,202 individuals participated, with 52.8% females and 79.9% residing in urban areas. Following the restrictions, the prevalence of CNP occurring daily or almost daily and at least once a week was 14.8% and 27.8%, respectively (95% confidence Interval [95% CI], 12.6-17.3 and 24.9-30.9), representing a significant increase (p<0.001) compared with pre-pandemic estimates. Notably, among those viewing DDCI screens for ≥8 hours, the odds ratio for CNP frequency escalation compared with those who did not or rarely view screens was 1.61 (95% CI, 1.04-2.50; p=0.033).

CONCLUSION

Approximately 4 of 10 adults in Peru experienced CNP following the lifting of COVID-19 social restrictions, more than double the pre-pandemic prevalence. Furthermore, prolonged viewing of DDCI screens increased the risk of having this condition.

Sedentary behavior and neck pain in adults: A systematic review and meta-analysis

Sedentary lifestyle is an imperative risk for musculoskeletal pain. We sought to investigate the association between different types of sedentary behaviors (SBs) and neck pain (NP) among adults. A systematic search was conducted in PubMed, Web of Science, Embase, Scopus, and Google Scholar up to the end of April 2023. The odds ratio (95% CI) was considered as the desired effect size for the association between SBs and the NP. Among 1881 records found by primary search, 46, and 27 reports were included in the qualitative and quantitative analysis respectively. All included studies qualified as good or fair. Our results indicated that SB is a risk factor for NP among adults (OR = 1.5, [1.29, 1.76]). Computer and mobile phone use were also found to be considerable risk factors for NP (OR = 1.3, [1.12, 1.53], and OR = 2.11, [1.32, 3.42] respectively). However, sitting time showed an insignificant association with NP (OR = 1.33, [0.86, 2.07]). Subgroup analysis revealed that SBs are a significant risk factor for NP among university students (OR = 1.58, [1.27, 1.97]), but the association among office workers was marginally insignificant (OR = 1.36, [0.98, 1.89]). According to the meta-regression results, the male gender was found to increase the risk of NP. Meanwhile, Egger's test revealed the presence of publication bias (p-value <0.0001). A sedentary lifestyle as well as computer and mobile phone use is associated with a considerable risk of NP among adults, especially university students. Further, longitudinal studies are needed to better clarify the causality relationships.

Risk factors for neck pain in college students: a systematic review and meta-analysis

BACKGROUND

During the COVID-19 epidemic, the prevalence of neck pain among college students has increased due to the shift from offline to online learning and increasing academic and employment pressures. Therefore, this systematic review aimed to identify the personal, occupational, and psychological factors associated with the development of neck pain to promote the development of preventive strategies and early intervention treatment.

METHODS

Seven electronic databases were searched from inception to December 2022 for cross-sectional studies, cohort studies, case----control studies, and randomized controlled trials (RCTs) on neck pain. The quality of the selected studies were assessed by American Agency for Healthcare Research and Quality (AHRQ) or the Newcastle-Ottawa Scale (NOS). Pooled odds ratios (ORs) with corresponding 95% confidence intervals (CIs) were calculated to evaluate the effects of the included risk factors on neck pain.

RESULTS

Thirty studies were included, including 18,395 participants. And a total of 33 potentially associated risk factors were identified. Ultimately, 11 risk factors were included in the meta-analysis after assessing, and all results were statistically significant (P < 0.05). The factors supported by strong evidence mainly include the improper use of the pillow (OR = 2.20, 95% CI: 1.39 to 3.48), lack of exercise (OR = 1.88, 95% CI: 1.53 to 2.30), improper sitting posture (OR = 1.97, 95% CI: 1.39 to 2.78), history of neck and shoulder trauma (OR = 2.32, 95% CI: 1.79 to 3.01), senior grade (OR = 2.86, 95% CI: 2.07 to 3.95), staying up late (OR = 1.80, 95% CI: 1.35 to 2.41), long-time electronic product usage daily (OR = 1.53, 95% CI: 1.33 to 1.76), long-time to bow head (OR = 2.04, 95% CI: 1.58 to 2.64), and emotional problems (OR = 2.09; 95% CI: 1.66  to 2.63). Risk factors supported by moderate evidence were high stress (OR = 1.61, 95% CI: 1.02 to 2.52) and female gender (OR = 1.69, 95% CI: 1.52 to 1.87).

CONCLUSION

This study obtained 11 main risk factors affecting college students neck pain, including improper use of the pillow, lack of exercise, improper sitting posture, history of neck and shoulder trauma, senior grade, staying up late, long-term electronic product usage daily, long time to bow head, high stress, emotional problems and female gender.

Health Promotion for Students of Veterinary Medicine: A Preliminary Study on Active Microbreaks and Ergonomics Education

Occupational hazards, such as psychosocial stressors, physical injuries from human-animal interactions, and physically demanding work tasks, are common in the veterinary profession, and musculoskeletal discomfort and pain (MDP) may already be present in veterinary undergraduates. This preliminary study investigates the effects of very short, active interventions, called microbreaks, in 36 veterinary students. At the start, participants had a high prevalence of MDP, especially in the neck and lower back. Within a 12-week observational period, 6 weeks of active intervention comprised teaching microbreaks (nine strengthening, stretching, and relaxation exercises; 30-90 s each) and a weekly veterinary-specific ergonomics education and discussion. After the intervention, participants reported fewer painful body regions and an increase in their self-efficacy in potentially painful, risky, or dangerous human-animal interactions. After the 12-week observational period, participants had increased self-efficacy in the maintenance of physical health and self-protection but decreased self-efficacy in healing injuries after veterinary human-animal interactions. Participants felt to have increased and decreased control over dangerous situations with dogs and horses, respectively, although self-efficacy in handling horses increased. Participants integrated microbreaks well into their undergraduate activities and rated the topic relevant to their (later) profession. This should encourage the inclusion of similar programs in undergraduate curricula.

Ergonomics of E-Learning Workstations and the Prevalence of Musculoskeletal Disorders-Study among University Students

The prevalence of musculoskeletal disorders (MSD) has increased significantly in recent years. The COVID-19 pandemic has led to a fundamental change in the lifestyles, ways of learning and working patterns of the general population, which in turn, might lead to health consequences. The aim of this study was to evaluate the conditions of e-learning and the impact of the learning modality on the occurrence of musculoskeletal symptoms among university students in Poland. This cross-sectional study included 914 students who completed an anonymous questionnaire. The questions covered two time periods (before and during the COVID-19 pandemic) and were aimed at obtaining information about lifestyle (including physical activity using the modified International Physical Activity Questionnaire, 2007 (IPAQ), perceived stress and sleep patterns), the ergonomics of computer workstations (by Rapid Office Strain Assessment, 2012 (ROSA) method), the incidence and severity of musculoskeletal symptoms (by the Nordic Musculoskeletal Questionnaire, 2018 (NMQ)) and headaches. The main differences between the two periods were statistically significant according to the Wilcoxon test in terms of physical activity, computer use time, and severity of headaches. During the COVID-19 pandemic, there was a significant increase in MSD (68.2% vs. 74.6%) and their intensity (2.83 ± 2.36 vs. 3.50 ± 2.79 points) among the student population (p < 0.001). In the group of students with MSD, there was a high musculoskeletal load, due to the lack of ergonomic remote learning workstations. In future, a thorough study should be carried out, and there is an urgent need to raise students' awareness of arranging learning workstations according to ergonomic principles in order to prevent the occurrence of musculoskeletal problems.

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

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.

Musculoskeletal complaints and associated factors in school children aged between 6 and 13 years in Istanbul during the COVID-19 pandemic: A cross-sectional study

BACKGROUND: Following the first COVID-19 cases in Turkey, face-to-face education was ceased after March 16, 2020 until the end of the educational year (i.e. June 19, 2020) and education was substituted remotely due to confinement. OBJECTIVE: This study aims to investigate the frequency of musculoskeletal complaints in school-age children and associated risk factors including reduced physical activity, increased screen time and poor ergonomics conditions in school-age children during the pandemic. METHODS: This cross-sectional study included parents or guardians of 960 students aged between 6–13 years old with a non-randomized sampling. A survey was administered consisting of 66 items related with sociodemographic characteristics of the children and family, online education hours, technological device(s) used, screen time, type of physical activity, presence of musculoskeletal problems and poor ergonomics conditions such as incorrect sitting posture. RESULTS: Logistic regression results demonstrated that age, excess weight gain, total daily screen time, smartphone use, incorrect sitting posture were associated with musculoskeletal complaints. CONCLUSION: The long-term closure of schools due to the pandemic may have led to an increase in musculoskeletal complaints in 6–13 years old children, based on the factors identified in this study, which were excess weight gain, increased screen time and incorrect sitting posture. These findings might help education and health authorities to develop strategies to improve musculoskeletal health of children especially in emergencies such as the pandemic.