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dc.contributor.authorCreed, Irena F
dc.contributor.authorErratt, Kevin J
dc.contributor.authorHenley, Phaedra
dc.contributor.authorTsimbiri, Pamela F
dc.contributor.authorBend, John R
dc.contributor.authorShivoga, William A.
dc.contributor.authorTrick, Charles G
dc.date.accessioned2024-10-15T12:38:00Z
dc.date.available2024-10-15T12:38:00Z
dc.date.issued2024-10-11
dc.identifier.urihtps://doi.org/10.7189/jogh.14.04064
dc.identifier.urihttps://jogh.org/2024/jogh-14-04064
dc.identifier.urihttp://ir-library.mmust.ac.ke:8080/xmlui/handle/123456789/3011
dc.description.abstractBackground The rapid expansion of the cut flower industry in Africa has led to pervasive use and potential exposure of pesticides, raising concerns for local communities. Whether the risks associated with pesticide applications are localised or have broader implications remains unclear. Methods We measured biomarkers of real and perceived pesticide exposure in two Kenyan communities: Naivasha, where the cut flower industry is present, and Mogotio, where the cut flower industry is absent. We measured real exposure by the percentage of acetylcholinesterase (AChE) inhibition and perceived exposure by assessing hair cortisol levels, a biomarker of stress. Additionally, we conducted a demographic survey to evaluate the health and socioeconomic status of participants, as well as their perceptions of pesticide risks associated with the cut flower industry. Results Perceived pesticide exposure was more common in Naivasha (n = 36, 56%) compared to Mogotio (n = 0, 0%), according to community surveys. However, Mogotio residents had significantly higher mean hair cortisol levels (mean (x̄) = 790 ng/g, standard deviation (SD) = 233) and percentage of AChE inhibition (x̄ = 28.5%, SD = 7.3) compared to Naivasha residents, who had lower mean hair cortisol levels (x̄ = 548 ng/g, SD = 187) and percentage of AChE inhibition (x̄ = 14.5%, SD = 10.1). Location (proximity to cut flower farms) and gender were significant factors influencing pesticide exposure, with individuals living outside the cut flower industrial complexes being at higher risk. Women in both communities were the most vulnerable demographic, showing significantly higher mean hair cortisol levels (x̄ = 646 ng/g, SD = 267.4) and percentage of AChE inhibition (x̄ = 22.5%, SD = 12.4) compared to men hair cortisol levels (x̄ = 558.2 ng/g, SD = 208.2) and percentage of AChE inhibition (x̄ = 10.4%, SD = 13.1). Conclusions A heightened awareness of the potential risks of pesticide exposure was widespread within cut flower industrial complexes. This may have led to a reduction in exposure of both workers and non-workers living within or close to these complexes. In contrast, communities living outside these complexes showed higher levels of exposure, possibly due to limited chemical awareness and a lack of precautionary measures. Despite this contrast between communities, women remained the most vulnerable members, likely due to their socioeconomic roles in African society. Monitoring women’s pesticide exposure is crucial for providing an early warning system for community exposure.en_US
dc.language.isoenen_US
dc.publisherJournal of Global Health (JoGH)en_US
dc.subjectgeo-gender-based, analysis, human health, presence, cut flower, farms, attenuate, pesticide, exposure, African, communities, women,most vulnerableen_US
dc.titleA geo-gender-based analysis of human health: The presence of cut flower farms can attenuate pesticide exposure in African communities, with women being the most vulnerableen_US
dc.typeArticleen_US


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