Exploring the Significance of Abdominal Drawing-in and Segmental Stabilisation Training (SST) for Low Back Pain Management.

Segmental Stabilisation Training (SST) a programme initially conceived by Carolyn Richardson and her team, serves as a specialised approach tailored to alleviate mechanical low back pain. Built upon decades of rigorous research, this exercise model rests upon the foundational principles of core stability. SST is unique due to its singular focus on addressing the root cause of low back pain, thereby presenting a promising avenue for averting the frequent relapses characteristic of this condition.

Beyond the Self-Reports: A Review on Objective Pain Measurement and Its Implications.

Current methods of pain measurement are inadequate in capturing the complexity of the pain experience. This limitation arises mainly because these methods tend to overlook the multiple dimensions of pain during assessment, heavily relying on self-reported measures, which inherently have their drawbacks. Self-reported measures aim to gauge the pain severity experienced by an individual, based solely on their perception of the most intense pain sensation.

Development of a tool for objectively measuring somatic pain in the low back region based on a longitudinal diagnostic study conducted in Karachi, Pakistan.

Objectives: This study aimed at devising an objective method for quantifying pain in the low back region using pressure pain threshold (PPT) and demographic factors as predictive variables.

Methods: The research was conducted in two phases. Phase I was a longitudinal exploratory study conducted on 49 men aged 18-50 years with chronic low back pain (CLBP) recruited using non-probability purposive sampling.

Frequency and associated risk factors for neck pain among software engineers in Karachi, Pakistan.

Objective: To determine the frequency of neck pain and its association with risk factors among software engineers.

Methods: This descriptive, cross-sectional study was conducted at the Dow University of Health Sciences, Karachi, from February to March 2016, and comprised software engineers from 19 different locations. Non-probability purposive sampling technique was used to select individuals spending at least 6 hours in front of computer screens every day and having a work experience of at least 6 months.