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A Cross-Sectional Study Exploring the Relationship between Work-Related, Lifestyle Factors and Non-Specific Neck and Shoulder Pain in a Southeast Asian Population.
- Source :
- Healthcare (2227-9032); Sep2024, Vol. 12 Issue 18, p1861, 12p
- Publication Year :
- 2024
-
Abstract
- Background and Objectives: Non-specific neck and shoulder pain (NSNSP) is prevalent among working adults. The increased use of electronic devices and prevalence of remote working and study following the COVID-19 pandemic have raised concerns about the potential rise in such conditions. This study aims to investigate the associations between work-related, lifestyle factors and NSNSP in the adult Southeast Asian Singaporean population. Materials and Methods: An online survey was administered electronically to Singaporeans aged 21 and above. Demographic data, NSNSP prevalence, computer and smartphone usage durations, sleep patterns, and exercise frequency were captured after obtaining informed consent (SIT institutional review board approval #2023014). Results: A total of 302 validated responses were recorded, including 212 suffering from NSNSP versus 90 in the comparison group. The NSNSP group showed significantly longer smartphone usage (5.37 ± 3.50 h/day) compared to the comparison group (4.46 ± 3.36 h/day, p = 0.04). Furthermore, the NSNSP group had lower exercise frequency (2.10 ± 1.74 days/week vs. 2.93 ± 2.21 days/week, p < 0.01) and shorter weekly exercise duration (2.69 ± 3.05 h/week vs. 4.11 ± 4.15 h/week, p < 0.01). The average NSNSP severity in this group was 34.9 ± 19.96 out of 100, correlating significantly with age (r = 0.201, p < 0.01) and BMI (r = 0.27, p < 0.01). Conclusions: This preliminary cross-sectional study examines characteristics of adult Southeast Asians with NSNSP post-COVID-19 pandemic. The findings indicate significantly longer smartphone use and less exercise in NSNSP respondents, with both age and body mass index (BMI) demonstrating significant correlations with NSNSP severity. [ABSTRACT FROM AUTHOR]
- Subjects :
- SHOULDER pain
RISK assessment
LIFESTYLES
CROSS-sectional method
PEARSON correlation (Statistics)
PAIN measurement
T-test (Statistics)
COMPUTERS
SMARTPHONES
EXERCISE
CARDIOVASCULAR diseases
NECK pain
STATISTICAL sampling
QUESTIONNAIRES
MULTIPLE regression analysis
SEX distribution
DESCRIPTIVE statistics
CHI-squared test
ANALYSIS of covariance
OCCUPATIONAL exposure
PAIN
SLEEP
DATA analysis software
ALCOHOL drinking
PHYSICAL activity
Subjects
Details
- Language :
- English
- ISSN :
- 22279032
- Volume :
- 12
- Issue :
- 18
- Database :
- Complementary Index
- Journal :
- Healthcare (2227-9032)
- Publication Type :
- Academic Journal
- Accession number :
- 180013694
- Full Text :
- https://doi.org/10.3390/healthcare12181861