| Literature DB >> 31828278 |
Mohammed T Almalki1, Sarah S BinBaz, Sultan S Alamri, Hani H Alghamdi, Ahmed O El-Kabbani, Abdulaziz A Al Mulhem, Sultan A Alzubaidi, Amal T Altowairqi, Hanaa A Alrbeeai, Wardah M Alharthi, Khaled A Alswat.
Abstract
OBJECTIVES: To estimate the prevalence of chronic pain (CP) and high-impact chronic pain (HICP) in a sample of the general adult population in Saudi Arabia.Entities:
Mesh:
Year: 2019 PMID: 31828278 PMCID: PMC6969620 DOI: 10.15537/smj.2019.12.24690
Source DB: PubMed Journal: Saudi Med J ISSN: 0379-5284 Impact factor: 1.484
Demographic factors of the sample, weighted sample, and prevalences of chronic pain and high impact chronic pain.
Figure 1Chronic pain locations (humanoid figure obtained from smart.servier.com) UB - upper back, UE - upper extremities
Pain characteristics of patients with chronic pain (N=11270).
Health care characteristics of patients with chronic pain and high impact chronic pain.
Figure 2Percentage of chronic pain patients taking medication. Percentage responses were calculated using 6,172 as a denominator (number of chronic pain patients who received medications). NSAIDs - non steroidal anti-inflammatory drugs
Odds ratio of high impact chronic pain according to different demographic factors.
Figure 3Nominal logistic fit for high impact chronic pain patients. Effect summary: how much each variable compacted the model. Age and gender the real effect on the model, while education, exercise, income, and work have the slight effect. Marital status and smoking are not significant factors, they do not add effect to the model.