Introduction: In recent time people use their smartphones routinely and excessively for different purposes, which is causing many health problems to them including musculoskeletal issues. Objective: To find the prevalence of musculoskeletal discomfort among smartphone users. Methodology: This was analytical cross-sectional study that was conducted in Gujrat, Pakistan. It contained a sample size of 346 individuals. In this study those were included which were willing to participate in study and age ranges from 20 to 40 years and those were excluded who gave incomplete information, with any traumatic injury, had reported rheumatoid arthritis, with mental disorders and any radiculopathy. Non- probability convenient sampling technique was used for sampling. Data were collected from individuals by Nordic musculoskeletal questionnaire NMQ and short version of smartphone addiction scale SAS- SV. Results: Out of 346 addicted participants, 190 (54.9%) were male and 156 (45.1%) were female, both with average age 25 years. So, out of total participants, 230 (66.5%) had neck discomfort, 171 (49.4%) had discomfort in wrists/hands, 150 (43.4%) had discomfort in upper back, 143 (41.3%) had lower back discomfort along with some participant counts 110 (31.8%) had shoulder discomfort, 88 (25.4%) had elbow discomfort and 11.6%, 6.9%, 5.8% in lower limbs including hips/thighs, knees, ankles/feet respectively Conclusion: We conclude that due to smartphone addiction both male and female had symptoms in their whole body, but severity of those symptoms differs according to region which is most effected. Mostly participants had most discomforts in neck, wrist/hands, upper back and lower back with some effect to shoulder and lower limbs also. So, there is a need to create an awareness of diverse effects which are due to smartphone addiction in people to reduce these discomforts’ ratio in population.

Musculoskeletal discomfort, Musculoskeletal pain, Smartphone addiction, Smartphone effects, Nordic questionnaire, Smartphone addiction scale short version (SAS-SV)