Correlation between Neck Range of Motion and Pain Pressure Threshold of Deep Neck Flexors among young females of different Body Mass Index with varying screen time exposure
Description
This dataset examines the relationship between cervical range of motion (ROM) and pain pressure threshold (PPT) of deep neck flexor muscles among young adult females, with consideration of body mass index (BMI) and daily screen time exposure. A total of 191 participants aged 18–26 years were assessed in a cross-sectional design. Cervical ROM (flexion, extension, lateral flexion, and rotation) was measured using a universal goniometer, while PPT was evaluated using a pressure algometer. Pain intensity was recorded using the Visual Analog Scale (VAS). BMI was calculated from measured height and weight, and screen time was evaluated by Smartphone Addiction Scale- Short Version (SAS-SV). The dataset indicates significant associations between reduced cervical ROM, lower PPT, higher BMI, and increased screen time exposure. Trends suggest that individuals with prolonged screen use and higher BMI may exhibit decreased neck mobility and increased pain sensitivity. This dataset provides valuable insight into the interaction between musculoskeletal function and lifestyle factors in young females. It can be used for correlation, regression, and subgroup analyses, and may support future research in physiotherapy, ergonomics, and preventive healthcare interventions targeting neck pain and dysfunction.
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Steps to reproduce
Participants were recruited based on inclusion criteria of females aged 18–26 years. Body Mass Index (BMI) was calculated using standard height and weight measurements. Neck range of motion (flexion, extension, lateral flexion, and rotation) was assessed using a universal goniometer under standardised conditions. The Pain Pressure Threshold (PPT) of deep neck flexor muscles was measured using a pressure algometer. Daily screen time exposure was recorded using a self-reported questionnaire. All measurements were taken in a controlled environment to ensure consistency. Data were entered into SPSS software and analysed using correlation tests (Pearson/Spearman) to determine the relationship between neck ROM, PPT, BMI, and screen time.
Institutions
- Maharishi Markandeshwar University, MullanaHaryana, Ambāla