University of Jordan Student Survey on Neck Pain, Posture, and Device Usage
by Mohammad Ahmad Al-Shalalfeh·Updated 14d ago
5.5 KB1files
Available on 1 platform
Sign in to view source links and access this dataset
Description
Mohammad Ahmad Al-Shalalfeh collected survey data from 507 students at the University of Jordan to investigate neck pain prevalence and risk factors. The cross-sectional study, last updated in May 2026, used structured interviews covering demographics, study behaviors, device usage, posture, and pain intensity. Results showed 52.4% of students reported neck pain in the last week, with slouched posture and laptop/tablet use associated with higher odds of pain.
Use Cases
Analyze associations between study device type (laptop, tablet, phone, book) and reported neck pain based on the survey results.
Investigate the relationship between sitting posture (slouched vs. upright) and musculoskeletal pain outcomes.
Model demographic and behavioral risk factors for neck pain among university students.
Design targeted ergonomic intervention programs based on identified high-risk study habits.
Strengths
Data from 507 students provides a substantive sample size for analysis.
Survey design used stratified sampling across 20 faculties to ensure proportional representation.
Pain intensity was measured using a standardized NRS-11 scoring system.
Results include specific odds ratios (e.g., OR=2.18 for slouched posture) from multivariate logistic regression.
Limitations
Row count is unknown, which may limit suitability assessment.
Column-level documentation is absent; field semantics must be inferred after download.
Data reflects a single university in Jordan, which may limit geographic generalizability.
Provenance
Source
Mohammad Ahmad Al-Shalalfeh via figshare.
Collection Method
Cross-sectional survey using structured, face-to-face interviews with stratified sampling.
Time Range
Survey period not specified; dataset metadata updated May 2026.
Freshness
Last updated 2026-05-22 17:40:25; freshness should be verified.
Geography
University of Jordan.
File is in XLS format (5.5 KB), a very small dataset with limited scope.