Title of article :
Predicting Factors of Pain Duration in Patients with Chronic Pain: A Large Population-based Study
Author/Authors :
Majedi, Hossein Brain and Spinal Cord Injury Research Center - Neuroscience Institute - Tehran University of Medical Sciences - Department of Anesthesiology - Critical Care and Pain Medicine - School of Medicine - Tehran University of Medical Sciences , Hoseini Amini, Mohammadreza Department of Anesthesiology and Critical Care - Qom University of Medical Sciences , Yousefshahi, Fardin Department of Anesthesiology - Critical Care and Pain Medicine - School of Medicine - Tehran University of Medical Sciences , Khazaeipour, Zahra Brain and Spinal Cord Injury Research Center - Neuroscience Institute - Tehran University of Medical Sciences , Majedi, Maryam Brain and Spinal Cord Injury Research Center - Neuroscience Institute - Tehran University of Medical Sciences , Rahimi, Mojgan Department of Anesthesiology - Critical Care and Pain Medicine - School of Medicine - Tehran University of Medical Sciences , Orandi, Amirhossein Department of Anesthesiology - Critical Care and Pain Medicine - School of Medicine - Tehran University of Medical Sciences
Abstract :
Background: Chronic pain is the third main problem of global health and the most common cause of long-term disabilities. The
duration that patients suffer from chronic pain is directly proportional to the extent of the suffering and to the amount of health
care resources allocated to this problem. There is no research that has studied the risk factors associated with the long pain duration
in chronic pain patients.
Methods:We investigated the potential risk factors associated with long pain duration in a population with diverse pain conditions
in a cross-sectional study. We used a questionnaire that included a number of potential risk factors including sex, age, marital
status, household condition, number of children, employment, education, body mass index (BMI), pain intensity, and the level of
anxiety/depression. The data were analyzed by univariable and multivariable linear regression models.
Results: We recruited 780 patients. The analyses showed that age and abnormal BMI had a positive correlation with pain duration.
Conclusions: The risk factors that might be associated with longer pain duration include older age and abnormal BMI.
Keywords :
Pain , Duration , Obesity , BMI , Sex , Gender , Age , Treatment , Management , Chronic
Journal title :
Anesthesiology and Pain Medicine