Muh. Ali Hi Palanro
Department of Medical Education, Faculty of Medicine, University of Alkhairaat Palu

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Risk Factor and Symptoms of Back Pain in Coastal Fisherman in Jaya Bakti Village Banggai Ricky Yuliam; Muh. Ali Hi Palanro; Mohamad Zulfikar
Green Medical Journal Vol 7 No 3 (2025): Green Medical Journal
Publisher : Fakultas Kedokteran Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/gmj.v7i2.226

Abstract

Introduction: Back pain is a significant global musculoskeletal health issue, particularly affecting occupational groups with high physical demands, such as fishermen. This study aimed to describe demographic factors (age), lifestyle (smoking, alcohol consumption), socioeconomic status, and accompanying symptoms associated with back pain in a population of coastal fishermen in Jaya Bakti Village, Pagimana, Banggai Regency. Methods: This study employed a descriptive quantitative approach, collecting data through structured questionnaires. The study sample consisted of 62 fishermen selected from the population at the research site. Result: Analysis of 62 respondents showed the majority were over 25 years old (40.3% aged 25-35; 50.0% aged >36 years). Lifestyle analysis in a sub-sample of 21 respondents revealed a very high prevalence of smoking (90.5%) and alcohol consumption in 38.1% of respondents. Income data from 41 respondents indicated the majority (63.4%) earned between IDR 500,000 until IDR 1,000,000 per month. 20 respondents reporting back pain, the most dominant accompanying symptoms were headache (90%) and reported loss of consciousness (85%). This finding is atypical for mechanical low back pain and may reflect misinterpretation of symptoms or other underlying conditions, requiring further clinical investigation, followed by pain radiating to the abdomen (60%). Conclusion: This descriptive study concludes that back pain among fishermen in the study location tends to occur in older age groups and may be exacerbated by high smoking rates. The reported accompanying symptoms, particularly the high frequency of self-reported episodes suggestive of loss of consciousness or presyncope.