{"title":"乌克兰居民健康与吸烟作为疾病发生因素的相关性分析","authors":"O. Mykhaylenko","doi":"10.32402/dovkil2024.01.011","DOIUrl":null,"url":null,"abstract":"Numerous clinical studies have established that smoking has a harmful effect on human health including diabetes mellitus. The aim is to assess the peculiarities of health changes among citizens of Ukraine under the influence of a harmful factor, thanks to a simultaneous questionnaire and in-depth medical examination for further improvement of diagnostics and stratification of the degree of risk of developing various diseases and timely appointment of adequate therapy. Materials and methods. Among the laboratory tests, the following were determined: blood glucose level, IR marker – Нoma index, which were determined on an empty stomach, in the morning, the last meal was 12 hours before blood donation. Determination of the results of indicators was carried out using chemiluminescence analysis. Reagents: Roche Diagnostics (Switzerland). Analyzer Cobas 8000 | ProCobas 6000 |Cobas 411 (Switzerland). Statistical data processing was carried out using a software package. The relationship between quantitative indicators was carried out using Pearson’s correlation analysis (r ). Statistical probability was estimated by the parametric Student’s t-test. The difference was considered probable at p<0.05. The relationship between quantitative and rank indicators was carried out using variance analysis, the Fisher coefficient (F). Results. A register of respondents was created - adults (men and women) who were under the influence of a modified factor that is a trigger for the prevalence of such conditions as insulin resistance and hyperglycemia; prediabetes, diabetes, cardiovascular diseases (CVD), etc. Answers related to smoking were converted from rank indicators into quantitative indicators. Through prospective observations, during the research, it was established that 47.5% consumed tobacco products in one form or another (not often - 15%, moderately - 12.5%, quite often - 7.5%, extremely often - 12.5%). A reliable relationship between quantitative indicators was also confirmed using Pearson’s correlation analysis (rs) between the level of glucose and the IR Нoma index (r=0.444, p=0.004), which once again confirms that the IR Нoma index increases due to the increase in glucose, and the prerequisite for this can be serve: age-related changes in the body’s hormonal balance, a passive lifestyle, weight gain and the presence of a bad habit, namely smoking. For the first time, the relationship between quantitative and rank indicators was established using variance analysis: between the level of glucose and smoking (F=2.757; p=0.043), between the level of IR Нoma index and smoking. Conclusions. As a result of the implementation of the pilot project, it was established that 47.5% of respondents smoke, of which 7.5% very often, 12.5% extremely often. In the course of the implementation of the pilot project, a register of respondents participating in the study was created. The relationship between quantitative indicators was also confirmed, one of which is the relationship between health status and smoking (rs=0.428; p=0.005). For the first time, the relationship between quantitative and rank indicators was investigated using variance analysis: between glucose level and smoking (F=2.757; p=0.043). Thanks to the transformation of the measurement scale, the dependence of the IR level on the Нoma annealing index was established for the first time.","PeriodicalId":144023,"journal":{"name":"Environment & Health","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Correlational analysis of the dependence of the health of the population of Ukraine on smoking as a factor in the development of diseases\",\"authors\":\"O. Mykhaylenko\",\"doi\":\"10.32402/dovkil2024.01.011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Numerous clinical studies have established that smoking has a harmful effect on human health including diabetes mellitus. The aim is to assess the peculiarities of health changes among citizens of Ukraine under the influence of a harmful factor, thanks to a simultaneous questionnaire and in-depth medical examination for further improvement of diagnostics and stratification of the degree of risk of developing various diseases and timely appointment of adequate therapy. Materials and methods. Among the laboratory tests, the following were determined: blood glucose level, IR marker – Нoma index, which were determined on an empty stomach, in the morning, the last meal was 12 hours before blood donation. Determination of the results of indicators was carried out using chemiluminescence analysis. Reagents: Roche Diagnostics (Switzerland). Analyzer Cobas 8000 | ProCobas 6000 |Cobas 411 (Switzerland). Statistical data processing was carried out using a software package. The relationship between quantitative indicators was carried out using Pearson’s correlation analysis (r ). Statistical probability was estimated by the parametric Student’s t-test. The difference was considered probable at p<0.05. The relationship between quantitative and rank indicators was carried out using variance analysis, the Fisher coefficient (F). Results. A register of respondents was created - adults (men and women) who were under the influence of a modified factor that is a trigger for the prevalence of such conditions as insulin resistance and hyperglycemia; prediabetes, diabetes, cardiovascular diseases (CVD), etc. Answers related to smoking were converted from rank indicators into quantitative indicators. Through prospective observations, during the research, it was established that 47.5% consumed tobacco products in one form or another (not often - 15%, moderately - 12.5%, quite often - 7.5%, extremely often - 12.5%). A reliable relationship between quantitative indicators was also confirmed using Pearson’s correlation analysis (rs) between the level of glucose and the IR Нoma index (r=0.444, p=0.004), which once again confirms that the IR Нoma index increases due to the increase in glucose, and the prerequisite for this can be serve: age-related changes in the body’s hormonal balance, a passive lifestyle, weight gain and the presence of a bad habit, namely smoking. For the first time, the relationship between quantitative and rank indicators was established using variance analysis: between the level of glucose and smoking (F=2.757; p=0.043), between the level of IR Нoma index and smoking. Conclusions. As a result of the implementation of the pilot project, it was established that 47.5% of respondents smoke, of which 7.5% very often, 12.5% extremely often. In the course of the implementation of the pilot project, a register of respondents participating in the study was created. The relationship between quantitative indicators was also confirmed, one of which is the relationship between health status and smoking (rs=0.428; p=0.005). For the first time, the relationship between quantitative and rank indicators was investigated using variance analysis: between glucose level and smoking (F=2.757; p=0.043). Thanks to the transformation of the measurement scale, the dependence of the IR level on the Нoma annealing index was established for the first time.\",\"PeriodicalId\":144023,\"journal\":{\"name\":\"Environment & Health\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environment & Health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32402/dovkil2024.01.011\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environment & Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32402/dovkil2024.01.011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
大量临床研究证实,吸烟对人体健康(包括糖尿病)有害。本研究的目的是通过同时进行问卷调查和深入体检,评估乌克兰公民在有害因素影响下健康变化的特殊性,从而进一步改进诊断,对各种疾病的发病风险程度进行分层,并及时采取适当的治疗措施。材料和方法。在实验室检查中,测定了以下指标:血糖水平、红外标志物--Нoma 指数,这些指标在献血前 12 小时空腹测定。指标结果的测定采用化学发光分析法。试剂罗氏诊断公司(瑞士)。分析仪:Cobas 8000 | ProCobas 6000 |Cobas 411(瑞士)。使用软件包进行数据统计处理。定量指标之间的关系采用皮尔逊相关分析法(r )。统计概率通过参数化的学生 t 检验进行估计。当 P<0.05 时,差异被认为是可能的。定量指标和等级指标之间的关系采用方差分析和费舍尔系数(F)。结果对受访者进行了登记,他们都是成年人(男性和女性),受胰岛素抵抗和高血糖、糖尿病前期、糖尿病、心血管疾病(CVD)等疾病的诱发因素影响。与吸烟有关的答案由等级指标转换为量化指标。研究期间,通过前瞻性观察,确定 47.5%的人以某种形式消费烟草产品(不经常--15%,一般--12.5%,比较经常--7.5%,非常经常--12.5%)。血糖水平与 IR Нoma 指数之间的皮尔逊相关分析(rs)(r=0.444,p=0.004)也证实了定量指标之间的可靠关系,这再次证实 IR Нoma 指数会随着血糖的升高而升高,其前提条件是:与年龄有关的体内激素平衡的变化、被动的生活方式、体重增加以及存在不良习惯,即吸烟。利用方差分析首次确定了定量指标和等级指标之间的关系:葡萄糖水平与吸烟之间的关系(F=2.757;P=0.043),红外Нoma 指数水平与吸烟之间的关系。结论试点项目实施的结果表明,47.5% 的受访者吸烟,其中 7.5%的受访者非常经常吸烟,12.5%的受访者非常经常吸烟。在试点项目实施过程中,对参与研究的受访者进行了登记。定量指标之间的关系也得到了证实,其中之一是健康状况与吸烟之间的关系(rs=0.428;p=0.005)。首次使用方差分析研究了定量指标与等级指标之间的关系:血糖水平与吸烟之间的关系(F=2.757;P=0.043)。由于测量尺度的转换,首次确定了红外水平与Нoma 退火指数之间的依赖关系。
Correlational analysis of the dependence of the health of the population of Ukraine on smoking as a factor in the development of diseases
Numerous clinical studies have established that smoking has a harmful effect on human health including diabetes mellitus. The aim is to assess the peculiarities of health changes among citizens of Ukraine under the influence of a harmful factor, thanks to a simultaneous questionnaire and in-depth medical examination for further improvement of diagnostics and stratification of the degree of risk of developing various diseases and timely appointment of adequate therapy. Materials and methods. Among the laboratory tests, the following were determined: blood glucose level, IR marker – Нoma index, which were determined on an empty stomach, in the morning, the last meal was 12 hours before blood donation. Determination of the results of indicators was carried out using chemiluminescence analysis. Reagents: Roche Diagnostics (Switzerland). Analyzer Cobas 8000 | ProCobas 6000 |Cobas 411 (Switzerland). Statistical data processing was carried out using a software package. The relationship between quantitative indicators was carried out using Pearson’s correlation analysis (r ). Statistical probability was estimated by the parametric Student’s t-test. The difference was considered probable at p<0.05. The relationship between quantitative and rank indicators was carried out using variance analysis, the Fisher coefficient (F). Results. A register of respondents was created - adults (men and women) who were under the influence of a modified factor that is a trigger for the prevalence of such conditions as insulin resistance and hyperglycemia; prediabetes, diabetes, cardiovascular diseases (CVD), etc. Answers related to smoking were converted from rank indicators into quantitative indicators. Through prospective observations, during the research, it was established that 47.5% consumed tobacco products in one form or another (not often - 15%, moderately - 12.5%, quite often - 7.5%, extremely often - 12.5%). A reliable relationship between quantitative indicators was also confirmed using Pearson’s correlation analysis (rs) between the level of glucose and the IR Нoma index (r=0.444, p=0.004), which once again confirms that the IR Нoma index increases due to the increase in glucose, and the prerequisite for this can be serve: age-related changes in the body’s hormonal balance, a passive lifestyle, weight gain and the presence of a bad habit, namely smoking. For the first time, the relationship between quantitative and rank indicators was established using variance analysis: between the level of glucose and smoking (F=2.757; p=0.043), between the level of IR Нoma index and smoking. Conclusions. As a result of the implementation of the pilot project, it was established that 47.5% of respondents smoke, of which 7.5% very often, 12.5% extremely often. In the course of the implementation of the pilot project, a register of respondents participating in the study was created. The relationship between quantitative indicators was also confirmed, one of which is the relationship between health status and smoking (rs=0.428; p=0.005). For the first time, the relationship between quantitative and rank indicators was investigated using variance analysis: between glucose level and smoking (F=2.757; p=0.043). Thanks to the transformation of the measurement scale, the dependence of the IR level on the Нoma annealing index was established for the first time.