Full blood count and some haemorheologic variables of vendors exposed to liquefied petroleum (cooking) gas: a comparative study

P. Akpan, C. Okwara, P.M Wonah
{"title":"Full blood count and some haemorheologic variables of vendors exposed to liquefied petroleum (cooking) gas: a comparative study","authors":"P. Akpan, C. Okwara, P.M Wonah","doi":"10.59708/ajlhts.v2i2.2318","DOIUrl":null,"url":null,"abstract":"Introduction: Cooking gas in the form of liquefied petroleum gas is sold in gas stations and outlets by vendors who do not use personal protective equipment despite working in a high-risk environment hence they have a high exposure to inhalation of the chemicals in the gas. This study assessed the full blood count and haemorheologic variables of vendors exposed to liquefied petroleum gas. Methods: Forty gas vendors were enrolled from four gas stations in Calabar while forty apparently healthy individuals who do not work in gas-related jobs were recruited as control. Ethical approval was granted by the Cross River State Ministry of Health, Calabar. Permission to enroll workers was obtained from the management of gas stations while study subjects gave informed consent. A structured questionnaire was used to obtain demographic information and health history while blood pressure, weight and height were measured using standard instruments; the body mass index was calculated. The full blood count and haemorheologic variables were determined by standard methods. Data analysis was done using a student t-test on SPSS version 21 and a P value ≤0.05 was considered significant. Results: The mean age was 25.9±3.2 years and 26.5±6.5 years for the test and control groups with gas vendors being predominantly males (97.5%). Work duration of 97.5% of gas vendors was ≤5 years. Sixty percent of the control and 42.5% of the gas vendors engaged in regular exercise while 40% and 57.5% do not. Sixty-seven-point five percent (67.5%) of the control rarely go for medical checks and 27.5% had never had a medical check with only 2% who check often. For the gas vendors, 55% have never had a medical check while 45% of them rarely check. Also, 42.5% of the control have never or rarely checked their blood pressure while 15% check often; 62.5% of the gas vendors have never checked their blood pressure while 37.5% rarely check. There was a family history of hypertension for 2 (5%) of the control and none for the test group. Also, 1 (2.5%) of the gas vendors had a history of fainting episodes while 39 of them and the control did not. Only 10% and 20% of the gas vendors use nose mask and hand gloves with the use of overalls and safety boots being 40% for each. The body mass index of the control group (25.15kg/m2) was not different (P>0.05) from that of the test group (24.53kg/m2). Whereas the systolic blood pressure was higher for the gas vendors than the control (126.47mmHg and 120.32mmHg), the diastolic blood pressures were comparable (74.60mmHg versus 72.92mmHg). The full blood count shows the red blood cell count, haematocrit and haemoglobin of the gas vendors were significantly higher (P<0.05) than the control value while the mean corpuscular volume and mean corpuscular haemoglobin were comparable (P>0.05). Again, the mean corpuscular haemoglobin concentration and red cell distribution width standard deviation of the gas vendors were significantly higher (P<0.05) versus the control while the red cell distribution width coefficient of variation was comparable (P>0.05). The total white blood cell count and the absolute granulocyte and lymphocyte counts of the gas vendors were significantly higher (P<0.05) than the control value while the mixed leucocyte count was not different (P>0.05) between the two groups. The platelet count, mean platelet volume, platelet distribution width, plateletcrit, platelet large cell ratio and platelet large cell count were significantly higher (P<0.05) for the gas vendors when compared to the control. Relative plasma viscosity and fibrinogen concentration were significantly higher (P=0.030) when the test group was compared to the control. Conclusions: This study has demonstrated an increase in red cell, white cell and platelet parameters of vendors exposed to cooking gas as a probable response to an induced state of chronic inflammation. There is also impaired haemorheology as expressed by an increase in relative plasma viscosity and fibrinogen concentration with possible pre-disposition to cardiovascular disease as a consequence. Management of cooking gas stations and the vendors should be educated on the need to use personal protective equipment in order to reduce exposure to the components of cooking gas.","PeriodicalId":380612,"journal":{"name":"African Journal of Laboratory Haematology and Transfusion Science","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"African Journal of Laboratory Haematology and Transfusion Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59708/ajlhts.v2i2.2318","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction: Cooking gas in the form of liquefied petroleum gas is sold in gas stations and outlets by vendors who do not use personal protective equipment despite working in a high-risk environment hence they have a high exposure to inhalation of the chemicals in the gas. This study assessed the full blood count and haemorheologic variables of vendors exposed to liquefied petroleum gas. Methods: Forty gas vendors were enrolled from four gas stations in Calabar while forty apparently healthy individuals who do not work in gas-related jobs were recruited as control. Ethical approval was granted by the Cross River State Ministry of Health, Calabar. Permission to enroll workers was obtained from the management of gas stations while study subjects gave informed consent. A structured questionnaire was used to obtain demographic information and health history while blood pressure, weight and height were measured using standard instruments; the body mass index was calculated. The full blood count and haemorheologic variables were determined by standard methods. Data analysis was done using a student t-test on SPSS version 21 and a P value ≤0.05 was considered significant. Results: The mean age was 25.9±3.2 years and 26.5±6.5 years for the test and control groups with gas vendors being predominantly males (97.5%). Work duration of 97.5% of gas vendors was ≤5 years. Sixty percent of the control and 42.5% of the gas vendors engaged in regular exercise while 40% and 57.5% do not. Sixty-seven-point five percent (67.5%) of the control rarely go for medical checks and 27.5% had never had a medical check with only 2% who check often. For the gas vendors, 55% have never had a medical check while 45% of them rarely check. Also, 42.5% of the control have never or rarely checked their blood pressure while 15% check often; 62.5% of the gas vendors have never checked their blood pressure while 37.5% rarely check. There was a family history of hypertension for 2 (5%) of the control and none for the test group. Also, 1 (2.5%) of the gas vendors had a history of fainting episodes while 39 of them and the control did not. Only 10% and 20% of the gas vendors use nose mask and hand gloves with the use of overalls and safety boots being 40% for each. The body mass index of the control group (25.15kg/m2) was not different (P>0.05) from that of the test group (24.53kg/m2). Whereas the systolic blood pressure was higher for the gas vendors than the control (126.47mmHg and 120.32mmHg), the diastolic blood pressures were comparable (74.60mmHg versus 72.92mmHg). The full blood count shows the red blood cell count, haematocrit and haemoglobin of the gas vendors were significantly higher (P<0.05) than the control value while the mean corpuscular volume and mean corpuscular haemoglobin were comparable (P>0.05). Again, the mean corpuscular haemoglobin concentration and red cell distribution width standard deviation of the gas vendors were significantly higher (P<0.05) versus the control while the red cell distribution width coefficient of variation was comparable (P>0.05). The total white blood cell count and the absolute granulocyte and lymphocyte counts of the gas vendors were significantly higher (P<0.05) than the control value while the mixed leucocyte count was not different (P>0.05) between the two groups. The platelet count, mean platelet volume, platelet distribution width, plateletcrit, platelet large cell ratio and platelet large cell count were significantly higher (P<0.05) for the gas vendors when compared to the control. Relative plasma viscosity and fibrinogen concentration were significantly higher (P=0.030) when the test group was compared to the control. Conclusions: This study has demonstrated an increase in red cell, white cell and platelet parameters of vendors exposed to cooking gas as a probable response to an induced state of chronic inflammation. There is also impaired haemorheology as expressed by an increase in relative plasma viscosity and fibrinogen concentration with possible pre-disposition to cardiovascular disease as a consequence. Management of cooking gas stations and the vendors should be educated on the need to use personal protective equipment in order to reduce exposure to the components of cooking gas.
暴露于液化石油(烹饪)气体的商贩的全血细胞计数和一些血液流变学变量:一项比较研究
简介:液化石油气形式的烹饪气体在加油站和销售点出售,尽管在高风险环境中工作,但供应商没有使用个人防护设备,因此他们高度暴露于吸入气体中的化学物质。本研究评估了接触液化石油气的商贩的全血细胞计数和血液流变学变量。方法:从卡拉巴尔市4个加油站招募40名加油小贩,同时招募40名不从事加油相关工作的健康个体作为对照。卡拉巴尔克罗斯河州卫生部批准了伦理许可。招募工作人员的许可是由加油站的管理人员获得的,而研究对象也给予了知情同意。采用结构化问卷获取人口统计信息和健康史,采用标准仪器测量血压、体重和身高;计算身体质量指数。全血细胞计数和血液流变学指标采用标准方法测定。数据分析采用SPSS 21版学生t检验,P值≤0.05为显著性。结果:试验组和对照组的平均年龄分别为25.9±3.2岁和26.5±6.5岁,供气小贩以男性为主(97.5%)。97.5%的燃气供应商工作年限≤5年。60%的对照组和42.5%的供气商定期锻炼,40%和57.5%的供气商不定期锻炼。67.5%(67.5%)的对照组很少去做体检,27.5%的人从未做过体检,只有2%的人经常做体检。对于天然气供应商来说,55%的人从未做过体检,45%的人很少体检。此外,42.5%的对照组从未或很少检查血压,15%的人经常检查血压;62.5%的商贩从未量过血压,37.5%的商贩很少量血压。对照组有2%(5%)有高血压家族史,试验组无高血压家族史。此外,1名(2.5%)气体供应商有昏厥史,而39名他们和对照组没有。只有10%和20%的气体供应商使用口罩和手套,使用工作服和安全靴的比例分别为40%。对照组体重指数(25.15kg/m2)与试验组体重指数(24.53kg/m2)差异无统计学意义(P>0.05)。尽管气体供应商的收缩压高于对照组(126.47mmHg和120.32mmHg),但舒张压是相似的(74.60mmHg和72.92mmHg)。全血细胞计数显示,供气小贩的红细胞计数、红细胞压积和血红蛋白显著高于供气小贩(P0.05)。供气小贩红细胞血红蛋白平均浓度和红细胞分布宽度标准差均显著高于供气小贩(P0.05)。两组患者的白细胞总数、绝对粒细胞和淋巴细胞计数均显著高于对照组(P0.05)。供气小贩血小板计数、平均血小板体积、血小板分布宽度、血小板电积、血小板大细胞比、血小板大细胞计数均显著高于对照组(P<0.05)。试验组血浆相对黏度和纤维蛋白原浓度显著高于对照组(P=0.030)。结论:这项研究表明,暴露于烹饪气体中的商贩的红细胞、白细胞和血小板参数的增加可能是对慢性炎症诱导状态的反应。血液流变学也受损,表现为相对血浆粘度和纤维蛋白原浓度的增加,因此可能易患心血管疾病。应教育烹饪加油站的管理人员和供应商使用个人防护设备的必要性,以减少接触烹饪气体的成分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信