Neck Pain Prevalence and Risk Factors Among University of Jordan Students

Mohammad Ahmad Al-Shalalfeh's dataset contains survey results from 507 students at the University of Jordan, collected via structured interviews. The data shows 52.4% reported neck pain in the last week and analyzes associations with posture and study devices using logistic regression. The dataset was last updated on 2026-05 22 and is shared under a CC-BY-4.0 license.

Use Cases

• Modeling risk factors for neck pain based on reported posture and device usage.
• Analyzing pain prevalence and site distribution within a student cohort.
• Investigating associations between study utilities (laptops, tablets, books, phones) and musculoskeletal outcomes.

Strengths

• Data from 507 students provides a specific sample size for analysis.
• Includes detailed methodology: cross-sectional survey with face-to-face interviews and stratified sampling across 20 faculties.
• Analysis includes specific odds ratios (e.g., OR=2.18 for slouched sitting) derived 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 population, which may limit generalizability.

Provenance

Source

Mohammad Ahmad Al-Shalalfeh via figshare

Collection Method

Cross-sectional survey conducted through structured, face-to-face interviews with students at the University of Jordan.

Time Range

Survey timeframe not specified in description.

Freshness

Last updated 2026-05-22 17:40:26; freshness should be verified.

Geography

University of Jordan