DEMOGRAPHIC ASSOCIATION AND RISK FACTORS WITH LOW BACK PAIN IN PATIENTS REFERRED FOR LUMBAR SPINE MAGNETIC RESONANCE IMAGING
DOI:
https://doi.org/10.71000/3b5tkr94Keywords:
Gender disparities, Risk factors, Obesity, Low back pain, Age distribution, Ergonomics, Magnetic resonance imagingAbstract
Background: Low back pain (LBP) remains a major global cause of disability, influenced by a complex interaction of lifestyle, occupational, and demographic factors. Its burden is particularly pronounced in developing countries, where limited ergonomic awareness and healthcare access contribute to chronicity. Understanding the demographic and clinical correlates of LBP is essential for designing preventive interventions and guiding clinical decision-making.
Objective: To identify the demographic characteristics and risk factors associated with low back pain among patients referred for lumbar spine magnetic resonance imaging (MRI) at a tertiary care hospital in Peshawar, Pakistan.
Methods: A descriptive cross-sectional study was conducted in the Radiology Department of Hayatabad Medical Complex, Peshawar. A total of 225 patients aged 20–60 years with clinically diagnosed LBP who underwent lumbar spine MRI were included through non-probability sampling. Data were collected using a structured proforma covering demographics, pain characteristics, aggravating and relieving factors, and associated neurological symptoms. MRI findings were recorded and correlated with clinical variables. Statistical analysis was performed using SPSS version 26. Descriptive statistics summarized continuous and categorical data, and associations between variables were tested using the chi-square test, with a p-value <0.05 considered significant.
Results: Of the 225 participants, 114 (50.7%) were female and 111 (49.3%) were male. The highest prevalence was observed in the 51–60-year age group (32.9%), with 106 (47.1%) housewives, 137 (60.9%) rural residents, and 83 (36.9%) obese individuals. Radiating pain was reported by 176 (78.2%) patients, gradual onset by 136 (60.4%), and aching pain quality by 120 (53.3%). Numbness (45.8%) and tingling (19.1%) were the most frequent neurological symptoms. Bending (25.8%) and sitting (20.4%) were major aggravating factors, while walking (20.9%) and sitting (19.1%) served as the most common relieving factors. Significant gender differences were found in pain site, quality, and severity (p<0.05).
Conclusion: Female gender, older age, obesity, rural residence, and housewife occupation were identified as major demographic and occupational risk factors for LBP. The findings highlight the need for community-based ergonomic education, weight management programs, and early screening strategies to prevent chronicity and reduce the socioeconomic burden of low back pain in high-risk populations.
References
Pal S, Ali K, Babar M, Khaqan A, Gul H, Javed S. Prevalence of Low Back Pain in Medical Students of United Medical and Dental College Karachi. Vol. 34, J Pak Orthop. Assoc. (JPOA). 2022.
Khokhar SK, Qamar A, Surti A, Fahim MF, Mahar Y. Demographic Associations of Low Back Pain; A Case Control Study. Pakistan Journal of Health Sciences. 2022 Nov 30;46–50.
Fazaa A, Cherif I, Miladi S, Boussaa H, Makhlouf Y, Abdelghani KB, et al. Prevalence of spine pain among Tunisian children and adolescents and related factors. Pediatr Rheumatol Online J. 2024;22(1):84.
Onishi A, Shibata A. Prevalence and sociodemographic correlates of urinary incontinence in Japanese women: A web-based cross-sectional study. Womens Health (Lond). 2023;19:17455057231207754.
Kahere M, Ginindza T. The prevalence and risk factors of chronic low back pain among adults in KwaZulu-Natal, South Africa: an observational cross-sectional hospital-based study. BMC Musculoskelet Disord. 2021;22(1):955.
Gun BK, Banaag A, Khan M, Koehlmoos TP. Prevalence and Risk Factors for Musculoskeletal Back Injury Among U.S. Army Personnel. Mil Med. 2022;187(7-8):e814-e20.
Kumawat BL, Kaur I, Parashar VS. An Observational Study of Various Risk Factors and Etiological Profile in Patients with Lower Back Pain at Tertiary Care Center. J Assoc Physicians India. 2024;72(7):48-54.
Alie M, Abich Y, Demissie SF, Weldetsadik FK, Kassa T, Shiferaw KB, et al. Magnitude and possible risk factors of musculoskeletal disorders among street cleaners and solid waste workers: a cross-sectional study. BMC Musculoskelet Disord. 2023;24(1):493.
Wall J, Meehan WP, 3rd, Trompeter K, Gissane C, Mockler D, van Dyk N, et al. Incidence, prevalence and risk factors for low back pain in adolescent athletes: a systematic review and meta-analysis. Br J Sports Med. 2022;56(22):1299-306.
Zhang C, Qin L, Yin F, Chen Q, Zhang S. Global, regional, and national burden and trends of Low back pain in middle-aged adults: analysis of GBD 1990-2021 with projections to 2050. BMC Musculoskelet Disord. 2024;25(1):886.
Sun W, Zhang H, Tang L, He Y, Tian S. The factors of non-specific chronic low back pain in nurses: A meta-analysis. J Back Musculoskelet Rehabil. 2021;34(3):343-53.
Sato K, Tomooka K, Sato S, Tanigawa T. Factors and their age differences associated with low back pain among Japanese workers: a cross-sectional study. Ind Health. 2025;63(4):319-27.
Tanaka NI, Maeda H, Tomita A, Suwa M, Imoto T, Akima H. Comparison of metabolic risk factors, physical performances, and prevalence of low back pain among categories determined by visceral adipose tissue and trunk skeletal muscle mass in middle-aged men. Exp Gerontol. 2021;155:111554.
Wolf J, França EB, Assunção A. The burden of low back pain, rheumatoid arthritis, osteoarthritis, and gout and their respective attributable risk factors in Brazil: results of the GBD 2017 study. Rev Soc Bras Med Trop. 2022;55(suppl 1):e0285.
The burden of diseases, injuries, and risk factors by state in the USA, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet. 2024;404(10469):2314-40.
Kafle KR, Lakhey RB, Ghimire N, Paudel S, Paudel S, Kafle D. Body Mass Index in Patients with Degenerative Spondylolisthesis: A descriptive cross-sectional study. Kathmandu Univ Med J (KUMJ). 2025;22(88):79-84.
Khadour FA, Khadour YA, Alhatem W, Albarroush D, Halwani AZ, Goirge MM, et al. Risk factors of chronic low back pain among Syrian patients: across- sectional study. BMC Neurol. 2025;25(1):146.
Zhu C, Shen Y, Wang L, Gu Y, Yu X, Wu L, et al. Prevalence, risk factors, and adverse outcomes of diastasis of rectus abdominis in men: a cross-sectional study. Hernia. 2024;29(1):31.
Sultana R, Afzal M, Yaqoob A, Khan S. Knowledge, Attitude and Perception of Low Back Pain Exercise among Nurses at a Clinical Setting in Public Tertiary Hospital Lahore, Pakistan. Pakistan Journal of Medical and Health Sciences. 2022 Jan 30;16(1):728–30.
Arooj A, Aziz A, Khalid F, Hussain Iqbal M. Narrative Review of Factors Affecting Lower Back Pain among Workers in Pakistan. BioScientific Review [Internet]. 2022 Mar 31;4:1–17.
Cavdar I, Karaman A, Ozhanli Y, Ozbas A. Low back pain in operating room nurses and its associated factors. Pak J Med Sci. 2020;36(6):1291–6.
Rolli Salathé C, Melloh M, Mannion AF, Elfering A, Tamcan Ö, Müller U. Gender differences in low back pain. Eur Spine J. 2021;30(5):1291–8.
Tariq S, Memon AR, Naqvi SH, Ahmed I, Memon F, Memon AR. Rural–urban differences in the prevalence and risk factors of musculoskeletal pain in Pakistan. BMC Musculoskelet Disord. 2020;21:725.
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