Introduction: Because of their jobs and work conditions, fish handlers are susceptible to several health problems. This study aimed to assess various health challenges faced by fish handlers in the Gambia. Methodology: This was a cross-sectional study in which 231 fish handlers were selected randomly from Tanji and Banjul fishing communities in the Gambia. Data on the various health problems common among them were gathered through focus group discussions and interviewer-administered questionnaires, and COHgb monitoring was done with a Rad 57 CO-oximeter. They were analyzed using the Statistical Package for Social Sciences (SPSS 20.0). Descriptive statistics were used to summarize the data, and an analytical statistical test was used to test for association using the chi-square at a 95% significance level. Results: The commonest health symptoms reported by the respondents in Tanji and Banjul were headache (85.7% and 81.8%); dizziness (74.7% and 61.0%); abdominal pain (51.3% and 80.5%); common cold (59.1% and 80.5%); tightness or discomfort in the chest (58.4% and 57.1%), eye irritation (49.4% and 57.1%. The commonest perceived factors reported in Tanji and Banjul were lack of sleep (72.7% and 59.7%); heavy smoke from boat engines (72.1% and 70.1%); poor diet (57.8% and 58.4%); Capsizing (68.85 and 51.9%); fish scaling process (72.1% and 70.1%) and Ergonomic (57.8% and 58.4%). Chi-square analysis revealed that the COHgb values of smoking and non-smoking fish smokers, fish traders, and fish dryers were not significantly different between Tanji and Banjul. However, the comparison of COHgb values of non-smoking fishermen in Tanji and Banjul was significant. Conclusion: findings from the study revealed several health issues facing fish handlers that need to be tackled. Therefore, the use of safety measures and periodic medical examinations should be encouraged among fish handlers.
Published in | Journal of Health and Environmental Research (Volume 11, Issue 3) |
DOI | 10.11648/j.jher.20251103.11 |
Page(s) | 48-59 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2025. Published by Science Publishing Group |
Assessment, Health Conditions, Fish Handlers, Fishing, The Gambia
Demographic Characteristics | Baseline (N=231) | Statistical Test | P-Value | |
---|---|---|---|---|
Tanji (n=154) No. (%) | Banjul (n=77) No. (%) | |||
Age Group | ||||
≤ 24 | 31(20.1) | 13 (16.9) | ||
25-42 | 91(59.1) | 47 (61.0) | χ2 | 0.836 |
43-66 | 32(20.8) | 17(22.1) | ||
Mean age | 34.2±10.7 | 35.8±10.8 | ||
Sex | ||||
Male | 116(75.1) | 71(92.2) | χ2 | 0.002* |
Female | 38(24.7) | 6(7.8) | ||
Marital Status | ||||
Single | 50(32.5) | 22(28.6) | ||
Married | 100(64.9) | 55(71.4) | ||
Widow | 4(2.6) | 0(0.0) | † | 0.352 |
Status | ||||
Fishermen | 87(56.5) | 62(80.5) | ||
Fish dryers | 9(5.8) | 2(2.6) | ||
Fish smokers | 43(27.9) | 9 (11.7) | ||
Fish traders | 15(9.7) | 4(5.2) | † | 0.004* |
Ethnicity | ||||
Mandinka | 57(37.0) | 17(22.1) | ||
Fula | 15(9.7) | 8(10.4) | † | 0.011* |
Wollof | 41(26.6) | 29(37.7) | ||
Jola | 13(8.4) | 1(1.3) | ||
Serere | 28(18.2) | 22(28.6) | ||
Educational Status | ||||
Primary | 50(32.5) | 10(13.0) | ||
Secondary | 39(25.3) | 27(35.1) | χ2 | 0.013* |
Tertiary | 17(11.0) | 13(16.9) | ||
Madarasa | 48(31.2) | 27(35.1) | ||
Income Level | ||||
<D1000 | 51(33.1) | 1(1.3) | ||
D1000 -D10000 | 93(60.3) | 55(71.4) | † | 0.000* |
D11000-20000 | 10(6.5) | 12(15.6) | ||
>D20000 | 0(0.0) | 9(11.7) | ||
Smoking Status | ||||
Yes | 58(37.7) | 34(44.2) | χ2 | 0.342 |
No | 96(62.3) | 43(55.8) | ||
* =Statistical significance at p<0.05 | ||||
†Fisher’s exact test |
Health Conditions | Tanji (N=154) | Banjul (N=77) | ||||
---|---|---|---|---|---|---|
Daily (%) | Weekly (%) | Monthly (%) | Daily (%) | Weekly (%) | Monthly (%) | |
Eye condition | ||||||
Eye redness | 9(5.8) | 36(23.4) | 30(19.5) | 14(18.2) | 26(33.8) | 22(28.6) |
Eye Inflammation | 23(14.9) | 28(18.2) | 18(11.7) | 8(10.4) | 24(31.2) | 16(20.8) |
Cataract | 22(14.3) | 50(32.5) | 20(13.0) | 11(14.3) | 5(6.5) | 5(6.5) |
watery discharge | 28(18.2) | 37(24.0) | 32(20.8) | 4(5.2) | 26(33.8) | 12(15.6) |
Foreign object in the eye | 16(10.4) | 39(25.3) | 60(39.0) | 9(11.7) | 16(20.8) | 22(28.6) |
Respiratory conditions | ||||||
Dry cough | 19(12.3) | 51(33.1) | 45(29.2) | 4(5.2) | 8(10.4) | 24(31.2) |
Chest tightness | 21(13.6) | 31(20.1) | 47(30.5) | 11(14.3) | 11(14.3) | 10(13.0) |
Cough with Phlegm | 17(11.0) | 21(13.6) | 30(19.5) | 17(22.1) | 13(16.9) | 7(9.1) |
Throat Irritation | 36(23.4) | 15(9.7) | 26(16.9) | 21(27.3) | 4(5.2) | 8(10.4) |
musculoskeletal Condition | ||||||
neck pain | 26(16.9) | 47(30.5) | 52(33.8) | 23(29.9) | 9(11.7) | 31(40.3) |
chest Pain | 27(17.5) | 49(31.8) | 47(30.5) | 12(15.6) | 9(11.7) | 39(50.6) |
Shoulder Pain | 16((10.4) | 39(25.3) | 38(24.7) | 7(9.1) | 24(31.2) | 30(39.0) |
Hand Pain | 32(20.8) | 47(30.5) | 43(27.9) | 14(18.2) | 9(11.7) | 44(57.1) |
Finger Pain | 16(10.4) | 58(37.7) | 44(28.6) | 17(22.1) | 7(9.1) | 33(42.9)) |
Back Pain | 40(26.0) | 43(27.9) | 30(19.5) | 27(35.1) | 4(5.2) | 32(41.6) |
Leg/hip/Knee | 19(12.3) | 59(38.3) | 54(35.1) | 12(15.6) | 14(18.2) | 21(27.3) |
Skin problems | ||||||
Skin Irritation | 30(19.5) | 28(18.2) | 32(20.8) | 10(13.0) | 4(5.2) | 36(47.8) |
Burning sensation | 31(20.1) | 16(10.4) | 61(39.6) | 9(11.7) | 9(11.7) | 10(13.0) |
Unusual flaking of skin | 18(11.7) | 25(16.2) | 35(22.7) | 8(10.4) | 6(7.8) | 18(23.4) |
Skin sore | 34(22.1) | 13(8.4) | 33(21.4) | 9(11.7) | 2(2.6) | 21(27.3) |
Skin Discoloration | 19(12.3) | 27(17.5) | 29(18.8) | 6(7.8) | 4(5.2) | 2(2.6) |
Dermatitis | 16(10.4) | 2(1.3) | 53(34.4) | 1(1.3) | 4(5.2) | 1(1.3) |
Skin Rashes | 16(10.4) | 17(11.0) | 31(20.1) | 6(7.8) | 3(3.9) | 1(1.3) |
Perception statements | Tanji (N=154) | Banjul (N=77) | ||
---|---|---|---|---|
Positive (%) | Negative (%) | Positive (%) | Negative (%) | |
lack of sleep | 112(72.7) | 42(27.3) | 46(59.7) | 31(40.3) |
Lack of exercise | 108(70.1) | 46(29.9) | 15(19.5) | 62(80.5) |
Insufficient Breaks | 92(59.7) | 62(40.3) | 26(33.8) | 51(66.2) |
Cold conditions | 90(58.4) | 64(41.6) | 16(20.8) | 61(79.2) |
heavy smoke from engine | 111(72.1) | 43(27.9) | 54(70.1) | 23(29.9) |
worry about bad weather | 67(43.5) | 87(56.5) | 18(23.4) | 59(76.6) |
Poor Diet | 89(57.8) | 65(42.2) | 45(58.4) | 32(41.6) |
Drowning | 82(53.2) | 72(46.8) | 31(40.3) | 46(59.7) |
Working when injured | 48(31.2) | 106(68.8) | 27(35.1) | 50(64.9) |
Collision | 74(48.1) | 80(51.9) | 27(35.1) | 50(64.9) |
Carrying/lifting heavy baskets | 92(59.7) | 62(40.3) | 31(40.3) | 46(59.7) |
Slips/ Falls | 131(85.1) | 23(14.9) | 31(40.3) | 46(59.7) |
Not having time to eat | 123(79.9) | 31(20.1) | 32(41.6) | 45(58.4) |
Capsizing | 106(68.8) | 48(31.2) | 40(51.9) | 37(48.1) |
Bending or twisting | 84(54.5) | 70(45.5) | 36(46.8) | 41(53.2) |
Equipment Breakdown | 99(62.3) | 55(37.7) | 21(27.3) | 56(72.7) |
Smoke | 92(59.7) | 62(40.3) | 26(33.8) | 51(66.2) |
Burn injury | 90(58.4) | 64(41.6) | 16(20.8) | 61(79.2) |
Scaling fish | 111(72.1) | 61(27.9) | 54(70.1) | 23(29.9) |
Cutting fish | 67(43.5) | 87(56.5) | 18(23.4) | 59(76.6) |
Ergonomic | 89(57.8) | 65(42.2) | 45(58.4) | 32(41.6) |
Dehydration | 82(53.2) | 72(46.8) | 32(41.6) | 45(58.4) |
Percentage Score (%) | 60% | 40% | 41% | 59% |
Mean scores | 32.1±3.8 | 30.5±2.8 |
Variables% | Tanji (n=154) No (%) | Banjul (n=77) No (%) | Statistical Test | P-value |
---|---|---|---|---|
Smoker | ||||
0-12 | 36(23.4) | 18(23.4) | χ2 | 0.39 |
>12 | 22(14.3) | 16(20.8) | ||
Non-Smokers | ||||
0-3 | 71(46.1) | 37(48.1) | χ2 | 0.32 |
>3 | 25(16.2) | 6(7.8) | ||
Total | 154 | 77 | ||
Mean/std. dev | 4.66±4.26 | 6.39±4.28 | - | |
95%conf. interval | ||||
Lower limit | 3.98 | 5.42 | ||
Upper limit | 5.34 | 7.36 | ||
t-value | 2.90 | |||
Deg of freedom | 229 |
Variables% | Tanji (n=154) No (%) | Banjul (n=77) No (%) | Statistical Test | P-value |
---|---|---|---|---|
Fishermen | ||||
Smoker | ||||
0-12 | 7(8.0) | 18(29.0) | χ2 | 0.32 |
>12 | 10(11.5) | 14(22.6) | ||
Non-smoker | ||||
0-3 | 55(63.2) | 30(48.4) | † | 0.005* |
>3 | 15(17.4) | 0(0.0) | ||
Fish smokers | ||||
Smoker | ||||
0-12 | 28(65.1) | 0(0.0) | † | 0.30 |
>12 | 11(25.6) | 1(11.1) | ||
Non-smoker | ||||
0-3 | 1(2.3) | 3(33.3) | † | 0.59 |
>3 | 3(7.0) | 5(55.6) | ||
Fish Traders | ||||
Smoker | ||||
0-12 | 1(6.7) | 0(0.0) | † | 0.67 |
>12 | 1(6.7) | 1(25.0) | ||
Non-smoker | ||||
0-3 | 9(60.0) | 2(50.0) | † | 0.71 |
>3 | 4(26.7) | 1(25.0) | ||
Fish Dryers | ||||
Smoker | ||||
0-12 | 0(0.0) | 0(0.0) | ||
>12 | 0(0.0) | 0(0.0) | † | 0.00 |
Non-smoker | ||||
0-3 | 6(66.7) | 2(100.0) | † | 0.51 |
>3 | 3(33.3) | 0(0.0) | ||
Total | 154 | 77 | ||
* =Statistical significance at p<0.05 | ||||
†Fisher’s exact test |
Variables | Odd Ratio | 95%conf. interval Lower limit | Upper limit |
---|---|---|---|
CO-Hgb | |||
Smoking status (ref) non-smoker | |||
Smoker | 1.34 | 0.76 | 2.38 |
Health symptoms | |||
Headache | 0.94 | 0.42 | 2.08 |
Dizziness | 1.92 | 0.61 | 2.32 |
Malaise | 1.06 | 0.56 | 2.01 |
Nausea | 0.70 | 0.37 | 1.34 |
Vomiting | 0.93 | 0.49 | 1.78 |
Tightness of the chest | 0.88 | 0.50 | 1.56 |
Fever | 1.07 | 0.54 | 2.10 |
CO | Carbon Monoxide |
COHgb | Carboxyhaemoglobin |
COPD | Chronic Obstructive Pulmonary Disease |
FGD | Focus Group Discussion |
PPE | Personal Protective Equipment |
[1] | Ansuya, B., Upendra, M. & Serrao, J. M. 2012. Knowledge and Practice of Safety Measures among Fishermen of Udupi District. International Journal of Science and Research, 3(9), 170-173. |
[2] | Patil, R. R. 2013. Health Status of fishing communities with Special Focus on Orissa Division of Epidemiology, School of Public Health, SRM University Potheri, Kattankulathur – 603203, Greater Chennai, INDIA. American Open Public Health Journal, 1(1), 1- 23. |
[3] | Rodrigues, D. E. & Kiran, U. 2013. A pilot study on knowledge & practice regarding prevention of occupational hazards and attitude towards utilization of safety measures among fishermen working at a selected harbor. Nitte University Journal of Health Science, 3(3), 68-71. |
[4] | Shibaji, M., Irteja, H., Nazmul, H. H., Israt, S., Mustafizur, R. & Sagirul, I. M. 2017. Occupational Health Hazard and Safety Assessment of Fishermen Community in Coastal Zone of Bangladesh. International Journal of Health Economics and Policy, 2(2), 63-71. |
[5] | Salvi, S. & Brashier, B. 2014. Fish smoking and COPD: a fishy affair. Lung India. 31, 105–106. |
[6] | Umoh, V. A., & Peters, E. 2014. The relationship between lung function and indoor air among rural women in the Niger Delta region of Nigeria. Lung India: Official Organ of Indian Chest Society, 31(2), 110–115. |
[7] | Udoh, J. P. & Okoko, A. C. 2014. Perception of the impact of donor agencies on the socio-economic the wellbeing of fisher folks in southeast Nigeria. Croatian Journal of Fisheries, 72, 77–82. |
[8] | Kodgule, R. & Salvi, S. 2012. Exposure to biomass smoke as a cause for airway disease in women and Children. Current Opinion in Allergy and Clinical Immunology, 12, 82–90. |
[9] | Olaoye, J. O., Odebiyi, O. C. & Abimbola, O. T. 2015. Occupational Hazards and Injuries Associated with Fish Processing in Nigeria. Journal of Aquatic Science, 3(1), 1-5. |
[10] | Ngaruiya, F. W., Ogendi, G. M. & Mokua, M. A. 2019. Occupational Health Risks and Hazards among the Fisherfolk in Kampi Samaki, Lake Baringo, Kenya. Environmental Health Insights, 13, 1-11. |
[11] | Mandal, S., Hasan, I., Hawlader, N. H., Sultana, I., Rahman, M. M. & Majumder, M. S. 2017. Occupational health hazard and safety assessment of fishermen community in Coastal zone of Bangladesh. International Journal of Health Economics Policy, 2, 63-71. |
[12] | El-Saadawy, M. E., Soliman, N. E., El-Tayeb, I. M. M.& Hammouda, M. A. 2014. Some occupational health hazards among fishermen in Alexandria city. Gaziantep Medical Journal, 20(1), 71-78. |
[13] | Erdmann F, Lortet-Tieulent J, Schuz J, Zeeb H, Greinert R, Breitbart EW. 2013. International trends in the incidence of malignant melanoma 1953-2008—are recent generations at higher or lower risk? Int J Cancer. Jan 15; 132(2): 385–400. |
[14] | Xiang F, Lucas R, Hales S, Neale R. 2014. Incidence of non melanoma skin cancer in relation to ambient UV radiation in white populations, 1978-2012. Empirical relationships. JAMA Dermatol. Oct; 150(10): 1063-71. |
[15] | Yoon, Y., Bae, S., An, S., Choe, Y. B., Ahn, K. J., & An, I. S. 2013. Effects of ultraviolet radiation on the skin and skin cell signaling pathways. Kor J Aesthet Cosmetol, 11(3), 417-426. |
[16] | Olaoye O. J., Ojebiyi W. G. and Akinrinola A. O. 2022. Occupational hazards associated with frozen fish marketing in Abeokuta metropolis in Ogun State, Nigeria. Agro-Science, 21(3), 59-54. |
[17] | Krishnaiah, P. 2011. Management and Maintenance of Hygienic Fish Market. Department of Animal Husbandry, Dairying & Fisheries, Ministry of Agriculture, Government of India, Pp. 6-11. |
[18] | Alam, M. M., Haque, M. M. & Shikha, F. H. 2014. Studies on public health and hygiene condition of retailers at fish markets in south-central Bangladesh 12(2), 411–418. |
[19] |
Gambia Bureau of statistics. 2013. Population and Housing Survey. Retrieved from
http://www.gbos.gov.gm Accessed 6 June 2018. |
[20] |
Acheson, V. 2000. Fishers' attributed causes of accident and implications for prevention Education.
http://hdl.handle.net/2429/9286 Accessed 8 July 2020. |
[21] | Törner, M. & Nordling, P. O. 2000. Occupational injury in Swedish fishing. Part 1: Analysis of injury statistics. Occupational Ergonomics, 2(2), 91-104. |
[22] | Törner, M. 2000. Risk perception among fishermen and control of risks through participatory analysis of accidents and incidents. Work and Stress, 16(1), 58-69. |
[23] | Myers, M., Durborow, R. & Kane, A. 2018. Gulf of Mexico seafood harvesters, part 2: occupational health-related risk factors. Safety, 4(3), 27. |
[24] | Buha, A., Vaseashta, A., Bulat, Z. & Matović, V. 2013. Carboxyhemoglobin in Blood of Smokers and Non- smokers Determined by Gas Chromatography with Thermal Conductivity Detector. In: Vaseashta A., Khudaverdyan S. (eds) Advanced Sensors for Safety and Security. NATO Science for Peace and Security Series B: Physics and Biophysics. Springer, Dordrecht, Pp. 163-171. |
[25] | Olson, K. R. 2007. Carbon monoxide poisoning. In: Papadakis MA, McPhee SJ, editors. New York, NY: McGraw-Hill; 2006. eds. 2007 Current Consult: Medicine. Chapter 1, 17-23. |
[26] | Boehm, R. E., Arbo, B. D., Leal, D., Hansen, A. W, Pulcinelli, R. R. & Thiesen, F. V. 2018. Smoking fewer 20 cigarettes per day and remaining abstinent for more than 12 hours reduce carboxyhemoglobin levels in packed red blood cells for transfusion. PLoS one, 13(9), 1-11. |
APA Style
Uyamadu, E. A., Camara, S., Badjie, M. (2025). Assessment of Health Conditions of the Fish Handlers in the Two Fishing Communities of the Gambia. Journal of Health and Environmental Research, 11(3), 48-59. https://doi.org/10.11648/j.jher.20251103.11
ACS Style
Uyamadu, E. A.; Camara, S.; Badjie, M. Assessment of Health Conditions of the Fish Handlers in the Two Fishing Communities of the Gambia. J. Health Environ. Res. 2025, 11(3), 48-59. doi: 10.11648/j.jher.20251103.11
@article{10.11648/j.jher.20251103.11, author = {Evelyn Anuli Uyamadu and Samba Camara and Mansour Badjie}, title = {Assessment of Health Conditions of the Fish Handlers in the Two Fishing Communities of the Gambia}, journal = {Journal of Health and Environmental Research}, volume = {11}, number = {3}, pages = {48-59}, doi = {10.11648/j.jher.20251103.11}, url = {https://doi.org/10.11648/j.jher.20251103.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jher.20251103.11}, abstract = {Introduction: Because of their jobs and work conditions, fish handlers are susceptible to several health problems. This study aimed to assess various health challenges faced by fish handlers in the Gambia. Methodology: This was a cross-sectional study in which 231 fish handlers were selected randomly from Tanji and Banjul fishing communities in the Gambia. Data on the various health problems common among them were gathered through focus group discussions and interviewer-administered questionnaires, and COHgb monitoring was done with a Rad 57 CO-oximeter. They were analyzed using the Statistical Package for Social Sciences (SPSS 20.0). Descriptive statistics were used to summarize the data, and an analytical statistical test was used to test for association using the chi-square at a 95% significance level. Results: The commonest health symptoms reported by the respondents in Tanji and Banjul were headache (85.7% and 81.8%); dizziness (74.7% and 61.0%); abdominal pain (51.3% and 80.5%); common cold (59.1% and 80.5%); tightness or discomfort in the chest (58.4% and 57.1%), eye irritation (49.4% and 57.1%. The commonest perceived factors reported in Tanji and Banjul were lack of sleep (72.7% and 59.7%); heavy smoke from boat engines (72.1% and 70.1%); poor diet (57.8% and 58.4%); Capsizing (68.85 and 51.9%); fish scaling process (72.1% and 70.1%) and Ergonomic (57.8% and 58.4%). Chi-square analysis revealed that the COHgb values of smoking and non-smoking fish smokers, fish traders, and fish dryers were not significantly different between Tanji and Banjul. However, the comparison of COHgb values of non-smoking fishermen in Tanji and Banjul was significant. Conclusion: findings from the study revealed several health issues facing fish handlers that need to be tackled. Therefore, the use of safety measures and periodic medical examinations should be encouraged among fish handlers.}, year = {2025} }
TY - JOUR T1 - Assessment of Health Conditions of the Fish Handlers in the Two Fishing Communities of the Gambia AU - Evelyn Anuli Uyamadu AU - Samba Camara AU - Mansour Badjie Y1 - 2025/07/30 PY - 2025 N1 - https://doi.org/10.11648/j.jher.20251103.11 DO - 10.11648/j.jher.20251103.11 T2 - Journal of Health and Environmental Research JF - Journal of Health and Environmental Research JO - Journal of Health and Environmental Research SP - 48 EP - 59 PB - Science Publishing Group SN - 2472-3592 UR - https://doi.org/10.11648/j.jher.20251103.11 AB - Introduction: Because of their jobs and work conditions, fish handlers are susceptible to several health problems. This study aimed to assess various health challenges faced by fish handlers in the Gambia. Methodology: This was a cross-sectional study in which 231 fish handlers were selected randomly from Tanji and Banjul fishing communities in the Gambia. Data on the various health problems common among them were gathered through focus group discussions and interviewer-administered questionnaires, and COHgb monitoring was done with a Rad 57 CO-oximeter. They were analyzed using the Statistical Package for Social Sciences (SPSS 20.0). Descriptive statistics were used to summarize the data, and an analytical statistical test was used to test for association using the chi-square at a 95% significance level. Results: The commonest health symptoms reported by the respondents in Tanji and Banjul were headache (85.7% and 81.8%); dizziness (74.7% and 61.0%); abdominal pain (51.3% and 80.5%); common cold (59.1% and 80.5%); tightness or discomfort in the chest (58.4% and 57.1%), eye irritation (49.4% and 57.1%. The commonest perceived factors reported in Tanji and Banjul were lack of sleep (72.7% and 59.7%); heavy smoke from boat engines (72.1% and 70.1%); poor diet (57.8% and 58.4%); Capsizing (68.85 and 51.9%); fish scaling process (72.1% and 70.1%) and Ergonomic (57.8% and 58.4%). Chi-square analysis revealed that the COHgb values of smoking and non-smoking fish smokers, fish traders, and fish dryers were not significantly different between Tanji and Banjul. However, the comparison of COHgb values of non-smoking fishermen in Tanji and Banjul was significant. Conclusion: findings from the study revealed several health issues facing fish handlers that need to be tackled. Therefore, the use of safety measures and periodic medical examinations should be encouraged among fish handlers. VL - 11 IS - 3 ER -