Logistic Regression Analysis of Mortality Among Fishermen in the Riperian Counties of Lake Victoria, Kenya

Opemo Damian Otieno; Juma Shem Godfrey

doi:doi:10.11648/j.cajph.20190501.17

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Logistic Regression Analysis of Mortality Among Fishermen in the Riperian Counties of Lake Victoria, Kenya

Opemo Damian Otieno, Juma Shem Godfrey

Published in Central African Journal of Public Health (Volume 5, Issue 1)

Received: 3 December 2018 Accepted: 10 January 2019 Published: 31 January 2019

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Abstract

Fishing as an economic activity has gainful implications to National Development. Mortality instigated by occupational hazards is a current subject of research significance globally. This study made attempts to assess the associations between categorical variables using Logistic Regression. Logistic regression analysis targeting 3058 deceased fishermen was carried out spanning 1998-2000. Associative relationships among categorical variables were determined using Statistical Analysis System (SAS). The findings reveal that the major causes of death were: HIV - related infections (33.8%), drowning (14.3%), pulmonary tuberculosis (12.4%), and malaria (10.4%). Factors influencing HIV - related mortality were: age group (p = 0.0025), Counties of residence (Busia, Kisumu, Migori and Siaya) all of which had similar p value (0.0001). The risk factors associated with deaths due to drowning were: age group (p =<0.0001), use of a combination of sails and paddles (p = <0.0001), use of paddle (p = 0.0003), Secondary education (p = <0.0001) and drinking of alcohol (p = 0.0012).The study concluded that the probability of death occurrence was closely related to HIV infections over the area of study.

Published in	Central African Journal of Public Health (Volume 5, Issue 1)
DOI	10.11648/j.cajph.20190501.17
Page(s)	46-51
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), 2024. Published by Science Publishing Group

Keywords

Fishermen, Mortality, Lake Victoria, Logistic Regression

References

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[13]	Mojola, S. A. (2011). Fishing in dangerous waters: Ecology, gender and economy in HIV risk. Social science & medicine, 72(2), 149-156.
[14]	Opemo, D. O., Mbithi, J. N., & Aloo, P. A. (2004). Causes of mortality among the fishermen in lake Victoria, Kenya. In Proceedings of the Second National Zoological Postgraduate Students Conference: 3rd-6th August, 2004: Theme, Zoological Research for Community Development and Poverty Alleviation in Africa (p. 147). Kenyatta University, Department of Biological Sciences.
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APA Style

Opemo Damian Otieno, Juma Shem Godfrey. (2019). Logistic Regression Analysis of Mortality Among Fishermen in the Riperian Counties of Lake Victoria, Kenya. Central African Journal of Public Health, 5(1), 46-51. https://doi.org/10.11648/j.cajph.20190501.17

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ACS Style

Opemo Damian Otieno; Juma Shem Godfrey. Logistic Regression Analysis of Mortality Among Fishermen in the Riperian Counties of Lake Victoria, Kenya. Cent. Afr. J. Public Health 2019, 5(1), 46-51. doi: 10.11648/j.cajph.20190501.17

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AMA Style

Opemo Damian Otieno, Juma Shem Godfrey. Logistic Regression Analysis of Mortality Among Fishermen in the Riperian Counties of Lake Victoria, Kenya. Cent Afr J Public Health. 2019;5(1):46-51. doi: 10.11648/j.cajph.20190501.17

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@article{10.11648/j.cajph.20190501.17,
  author = {Opemo Damian Otieno and Juma Shem Godfrey},
  title = {Logistic Regression Analysis of Mortality Among Fishermen in the Riperian Counties of Lake Victoria, Kenya},
  journal = {Central African Journal of Public Health},
  volume = {5},
  number = {1},
  pages = {46-51},
  doi = {10.11648/j.cajph.20190501.17},
  url = {https://doi.org/10.11648/j.cajph.20190501.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cajph.20190501.17},
  abstract = {Fishing as an economic activity has gainful implications to National Development. Mortality instigated by occupational hazards is a current subject of research significance globally. This study made attempts to assess the associations between categorical variables using Logistic Regression. Logistic regression analysis targeting 3058 deceased fishermen was carried out spanning 1998-2000. Associative relationships among categorical variables were determined using Statistical Analysis System (SAS). The findings reveal that the major causes of death were: HIV - related infections (33.8%), drowning (14.3%), pulmonary tuberculosis (12.4%), and malaria (10.4%). Factors influencing HIV - related mortality were: age group (p = 0.0025), Counties of residence (Busia, Kisumu, Migori and Siaya) all of which had similar p value (0.0001). The risk factors associated with deaths due to drowning were: age group (p =<0.0001), use of a combination of sails and paddles (p = <0.0001), use of paddle (p = 0.0003), Secondary education (p = <0.0001) and drinking of alcohol (p = 0.0012).The study concluded that the probability of death occurrence was closely related to HIV infections over the area of study.},
 year = {2019}
}

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TY  - JOUR
T1  - Logistic Regression Analysis of Mortality Among Fishermen in the Riperian Counties of Lake Victoria, Kenya
AU  - Opemo Damian Otieno
AU  - Juma Shem Godfrey
Y1  - 2019/01/31
PY  - 2019
N1  - https://doi.org/10.11648/j.cajph.20190501.17
DO  - 10.11648/j.cajph.20190501.17
T2  - Central African Journal of Public Health
JF  - Central African Journal of Public Health
JO  - Central African Journal of Public Health
SP  - 46
EP  - 51
PB  - Science Publishing Group
SN  - 2575-5781
UR  - https://doi.org/10.11648/j.cajph.20190501.17
AB  - Fishing as an economic activity has gainful implications to National Development. Mortality instigated by occupational hazards is a current subject of research significance globally. This study made attempts to assess the associations between categorical variables using Logistic Regression. Logistic regression analysis targeting 3058 deceased fishermen was carried out spanning 1998-2000. Associative relationships among categorical variables were determined using Statistical Analysis System (SAS). The findings reveal that the major causes of death were: HIV - related infections (33.8%), drowning (14.3%), pulmonary tuberculosis (12.4%), and malaria (10.4%). Factors influencing HIV - related mortality were: age group (p = 0.0025), Counties of residence (Busia, Kisumu, Migori and Siaya) all of which had similar p value (0.0001). The risk factors associated with deaths due to drowning were: age group (p =<0.0001), use of a combination of sails and paddles (p = <0.0001), use of paddle (p = 0.0003), Secondary education (p = <0.0001) and drinking of alcohol (p = 0.0012).The study concluded that the probability of death occurrence was closely related to HIV infections over the area of study.
VL  - 5
IS  - 1
ER  -

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Author Information

Opemo Damian Otieno

School of Nursing, Kibabii University, Bungoma, Kenya
Juma Shem Godfrey

Department of Mathematics, Kibabii University, Bungoma, Kenya

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Plain Text BibTeX RIS

APA Style

Opemo Damian Otieno, Juma Shem Godfrey. (2019). Logistic Regression Analysis of Mortality Among Fishermen in the Riperian Counties of Lake Victoria, Kenya. Central African Journal of Public Health, 5(1), 46-51. https://doi.org/10.11648/j.cajph.20190501.17

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ACS Style

Opemo Damian Otieno; Juma Shem Godfrey. Logistic Regression Analysis of Mortality Among Fishermen in the Riperian Counties of Lake Victoria, Kenya. Cent. Afr. J. Public Health 2019, 5(1), 46-51. doi: 10.11648/j.cajph.20190501.17

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AMA Style

Opemo Damian Otieno, Juma Shem Godfrey. Logistic Regression Analysis of Mortality Among Fishermen in the Riperian Counties of Lake Victoria, Kenya. Cent Afr J Public Health. 2019;5(1):46-51. doi: 10.11648/j.cajph.20190501.17

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@article{10.11648/j.cajph.20190501.17,
  author = {Opemo Damian Otieno and Juma Shem Godfrey},
  title = {Logistic Regression Analysis of Mortality Among Fishermen in the Riperian Counties of Lake Victoria, Kenya},
  journal = {Central African Journal of Public Health},
  volume = {5},
  number = {1},
  pages = {46-51},
  doi = {10.11648/j.cajph.20190501.17},
  url = {https://doi.org/10.11648/j.cajph.20190501.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cajph.20190501.17},
  abstract = {Fishing as an economic activity has gainful implications to National Development. Mortality instigated by occupational hazards is a current subject of research significance globally. This study made attempts to assess the associations between categorical variables using Logistic Regression. Logistic regression analysis targeting 3058 deceased fishermen was carried out spanning 1998-2000. Associative relationships among categorical variables were determined using Statistical Analysis System (SAS). The findings reveal that the major causes of death were: HIV - related infections (33.8%), drowning (14.3%), pulmonary tuberculosis (12.4%), and malaria (10.4%). Factors influencing HIV - related mortality were: age group (p = 0.0025), Counties of residence (Busia, Kisumu, Migori and Siaya) all of which had similar p value (0.0001). The risk factors associated with deaths due to drowning were: age group (p =<0.0001), use of a combination of sails and paddles (p = <0.0001), use of paddle (p = 0.0003), Secondary education (p = <0.0001) and drinking of alcohol (p = 0.0012).The study concluded that the probability of death occurrence was closely related to HIV infections over the area of study.},
 year = {2019}
}

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TY  - JOUR
T1  - Logistic Regression Analysis of Mortality Among Fishermen in the Riperian Counties of Lake Victoria, Kenya
AU  - Opemo Damian Otieno
AU  - Juma Shem Godfrey
Y1  - 2019/01/31
PY  - 2019
N1  - https://doi.org/10.11648/j.cajph.20190501.17
DO  - 10.11648/j.cajph.20190501.17
T2  - Central African Journal of Public Health
JF  - Central African Journal of Public Health
JO  - Central African Journal of Public Health
SP  - 46
EP  - 51
PB  - Science Publishing Group
SN  - 2575-5781
UR  - https://doi.org/10.11648/j.cajph.20190501.17
AB  - Fishing as an economic activity has gainful implications to National Development. Mortality instigated by occupational hazards is a current subject of research significance globally. This study made attempts to assess the associations between categorical variables using Logistic Regression. Logistic regression analysis targeting 3058 deceased fishermen was carried out spanning 1998-2000. Associative relationships among categorical variables were determined using Statistical Analysis System (SAS). The findings reveal that the major causes of death were: HIV - related infections (33.8%), drowning (14.3%), pulmonary tuberculosis (12.4%), and malaria (10.4%). Factors influencing HIV - related mortality were: age group (p = 0.0025), Counties of residence (Busia, Kisumu, Migori and Siaya) all of which had similar p value (0.0001). The risk factors associated with deaths due to drowning were: age group (p =<0.0001), use of a combination of sails and paddles (p = <0.0001), use of paddle (p = 0.0003), Secondary education (p = <0.0001) and drinking of alcohol (p = 0.0012).The study concluded that the probability of death occurrence was closely related to HIV infections over the area of study.
VL  - 5
IS  - 1
ER  -

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