Cargando…
Prevalence of Neurolathyrism and its associated factors in Grass pea cultivation areas of Dawunt District, North-eastern Ethiopia; 2022: a community based multilevel analysis
INTRODUCTION: : Neurolathyrism is an upper motor neuron disorder characterized by spastic paraparesis, which is caused by the prolonged over-consumption of grass pea. It is a devastating disease with great impacts on physical, social, mental, and economical health. OBJECTIVE: To determine the preval...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10552212/ https://www.ncbi.nlm.nih.gov/pubmed/37798732 http://dx.doi.org/10.1186/s12883-023-03379-0 |
_version_ | 1785115911927103488 |
---|---|
author | Bimerew, Melaku Gebremeskel, Teshome Beletew, Biruk Ayalneh, Manay Ayaliew, Wondye Wodaje, Mulugeta |
author_facet | Bimerew, Melaku Gebremeskel, Teshome Beletew, Biruk Ayalneh, Manay Ayaliew, Wondye Wodaje, Mulugeta |
author_sort | Bimerew, Melaku |
collection | PubMed |
description | INTRODUCTION: : Neurolathyrism is an upper motor neuron disorder characterized by spastic paraparesis, which is caused by the prolonged over-consumption of grass pea. It is a devastating disease with great impacts on physical, social, mental, and economical health. OBJECTIVE: To determine the prevalence of neurolathyrism and its associated factors in grass pea cultivation areas of Dawunt wereda. METHODS: Community based cross-sectional study design was conducted from February 01- March 30, 2021 on 631 Households with a total of 3,350 individuals. Two-stage random sampling technique was used to select participants. Multilevel binary logistic regression was used to identify factors associated with neurolathyrism. Statistical significance was declared at p < 0.05; and AOR with 95% CI was used to interpret the results. RESULTS: The household and population level prevalence of neurolathyrism in Dawunt district were 9.2% (7.2–11.7%) and 2.4% (2.0-2.3.0%) respectively. Age (AOR = 7.4 ( 2.6–20.6)), male sex (AOR = 7.8 (3.9, 15.4)), and marital status (AOR = 4.0 (1.3–12.8)) were the individual level variables; family size (AOR = 12.6 (3.0-52.8)), annual grass pea production (AOR = 5.0 (2.3–11.0)), ever feeding only grass pea (AOR = 8.8(3.5–22.2)), ever feeding immature seeds of grass pea (AOR = 6.28 (2.80, 14.08)), high grass pea to other cereals mixing ratio (> 3:1) (AOR = 6.1 (1.1, 33.5)) were the household level variables found to have significant association with neurolathyrism. CONCLUSION: The prevalence of neurolathyrism was found to be high. Ever feeding only grass pea, Grass pea to other cereals mixing ratio (using ratio of 1:1 or more), and Ever feeding immature grass pea seeds were the modifiable risk factors for neurolathyrism. |
format | Online Article Text |
id | pubmed-10552212 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105522122023-10-06 Prevalence of Neurolathyrism and its associated factors in Grass pea cultivation areas of Dawunt District, North-eastern Ethiopia; 2022: a community based multilevel analysis Bimerew, Melaku Gebremeskel, Teshome Beletew, Biruk Ayalneh, Manay Ayaliew, Wondye Wodaje, Mulugeta BMC Neurol Research INTRODUCTION: : Neurolathyrism is an upper motor neuron disorder characterized by spastic paraparesis, which is caused by the prolonged over-consumption of grass pea. It is a devastating disease with great impacts on physical, social, mental, and economical health. OBJECTIVE: To determine the prevalence of neurolathyrism and its associated factors in grass pea cultivation areas of Dawunt wereda. METHODS: Community based cross-sectional study design was conducted from February 01- March 30, 2021 on 631 Households with a total of 3,350 individuals. Two-stage random sampling technique was used to select participants. Multilevel binary logistic regression was used to identify factors associated with neurolathyrism. Statistical significance was declared at p < 0.05; and AOR with 95% CI was used to interpret the results. RESULTS: The household and population level prevalence of neurolathyrism in Dawunt district were 9.2% (7.2–11.7%) and 2.4% (2.0-2.3.0%) respectively. Age (AOR = 7.4 ( 2.6–20.6)), male sex (AOR = 7.8 (3.9, 15.4)), and marital status (AOR = 4.0 (1.3–12.8)) were the individual level variables; family size (AOR = 12.6 (3.0-52.8)), annual grass pea production (AOR = 5.0 (2.3–11.0)), ever feeding only grass pea (AOR = 8.8(3.5–22.2)), ever feeding immature seeds of grass pea (AOR = 6.28 (2.80, 14.08)), high grass pea to other cereals mixing ratio (> 3:1) (AOR = 6.1 (1.1, 33.5)) were the household level variables found to have significant association with neurolathyrism. CONCLUSION: The prevalence of neurolathyrism was found to be high. Ever feeding only grass pea, Grass pea to other cereals mixing ratio (using ratio of 1:1 or more), and Ever feeding immature grass pea seeds were the modifiable risk factors for neurolathyrism. BioMed Central 2023-10-05 /pmc/articles/PMC10552212/ /pubmed/37798732 http://dx.doi.org/10.1186/s12883-023-03379-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Bimerew, Melaku Gebremeskel, Teshome Beletew, Biruk Ayalneh, Manay Ayaliew, Wondye Wodaje, Mulugeta Prevalence of Neurolathyrism and its associated factors in Grass pea cultivation areas of Dawunt District, North-eastern Ethiopia; 2022: a community based multilevel analysis |
title | Prevalence of Neurolathyrism and its associated factors in Grass pea cultivation areas of Dawunt District, North-eastern Ethiopia; 2022: a community based multilevel analysis |
title_full | Prevalence of Neurolathyrism and its associated factors in Grass pea cultivation areas of Dawunt District, North-eastern Ethiopia; 2022: a community based multilevel analysis |
title_fullStr | Prevalence of Neurolathyrism and its associated factors in Grass pea cultivation areas of Dawunt District, North-eastern Ethiopia; 2022: a community based multilevel analysis |
title_full_unstemmed | Prevalence of Neurolathyrism and its associated factors in Grass pea cultivation areas of Dawunt District, North-eastern Ethiopia; 2022: a community based multilevel analysis |
title_short | Prevalence of Neurolathyrism and its associated factors in Grass pea cultivation areas of Dawunt District, North-eastern Ethiopia; 2022: a community based multilevel analysis |
title_sort | prevalence of neurolathyrism and its associated factors in grass pea cultivation areas of dawunt district, north-eastern ethiopia; 2022: a community based multilevel analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10552212/ https://www.ncbi.nlm.nih.gov/pubmed/37798732 http://dx.doi.org/10.1186/s12883-023-03379-0 |
work_keys_str_mv | AT bimerewmelaku prevalenceofneurolathyrismanditsassociatedfactorsingrasspeacultivationareasofdawuntdistrictnortheasternethiopia2022acommunitybasedmultilevelanalysis AT gebremeskelteshome prevalenceofneurolathyrismanditsassociatedfactorsingrasspeacultivationareasofdawuntdistrictnortheasternethiopia2022acommunitybasedmultilevelanalysis AT beletewbiruk prevalenceofneurolathyrismanditsassociatedfactorsingrasspeacultivationareasofdawuntdistrictnortheasternethiopia2022acommunitybasedmultilevelanalysis AT ayalnehmanay prevalenceofneurolathyrismanditsassociatedfactorsingrasspeacultivationareasofdawuntdistrictnortheasternethiopia2022acommunitybasedmultilevelanalysis AT ayaliewwondye prevalenceofneurolathyrismanditsassociatedfactorsingrasspeacultivationareasofdawuntdistrictnortheasternethiopia2022acommunitybasedmultilevelanalysis AT wodajemulugeta prevalenceofneurolathyrismanditsassociatedfactorsingrasspeacultivationareasofdawuntdistrictnortheasternethiopia2022acommunitybasedmultilevelanalysis |