Page 25 - JCTR-11-1
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Journal of Clinical and
            Translational Research                                                Pesticides and ischemic heart disease



            models were used to investigate the association between   years,  BMI,  WSI,  habits  (cigarette  smoking,  opium  and
            IHD and pesticide exposure. Crude and adjusted models   alcohol  consumption),  physical  activity,  and  diabetes.
            were employed in the regression analysis. Confounding   According to the data in Table 4, none of the variables had
            variables were identified using relevant epidemiological   a significant association with the prevalence of IHD.
            texts and subject matter knowledge. Potential confounding
            variables  were sequentially entered into the models   4. Discussion
            according  to their  hypothesized strength of  association   It is known that pesticides can exert deleterious effects
            with IHD and pesticide exposure. Variables with a   on human health. The main goal of this study was to
            P < 0.25 were selected as confounders. The crude model   investigate the association between pesticide exposure and
            was stratified by dietary antioxidant status. The adjusted   the prevalence of IHD in the Rafsanjan population, who
            model was adjusted for variables such as age (continuous),   participated in the Persian cohort.
            gender (male/female), education years (continuous),
            body mass index (BMI) (continuous), wealth status index   The socio-demographic characteristics of the Rafsanjan
            (continuous), lifestyle-related variables (cigarette smoking,   population showed a significant association between
            opium and alcohol consumption), physical activity level   the prevalence of IHD and variables, including age, sex,
            (continuous), and health conditions: diabetes (yes/no),   education, hypertension, physical  activity,  diabetes,
            hypertension (yes/no), and dyslipidemia (yes/no). All   dyslipidemia, smoking, and opium use. It is well known
            analyses were performed using Stata version  14. All   that hypertension, dyslipidemia, low physical activity,
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            P-values were two-sided.                           high-fat diet, and smoking are the risk factors for CVD.
                                                               Previous studies among farm workers have demonstrated
            3. Results                                         that the risk of CVD is positively associated with older age,
            Table 2 shows the sociodemographic characteristics of the   cigarette smoking, obesity, hypertension, and diabetes. 5,19
            participants with IHD. The results showed that the mean age of   Several cohort studies have assessed the association
            males (58.13) and females (57.77) with IHD was significantly   between long-term pesticide exposure and CVD. 20,21  For
            higher than that of healthy individuals (P < 0.001). On the   instance, Weichenthal et al.  in 2014 reported a positive
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            other hand, the level of education and physical activity   relationship between CVD and agricultural pesticide
            were lower in individuals with IHD compared to healthy   exposure in farm workers. Recently, Rojas-Rueda
            individuals (P < 0.001). According to Table 2, the frequency   et  al.   reported  that  the  rate  of  CVD  mortality  was
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            of dyslipidemia was significantly higher in males with IHD   higher in pesticide-exposure cases than that in
            (87.81%), and the frequency of hypertension (61.56%) and   non-pesticide-exposure cases. They also showed that
            dyslipidemia (89.07%) was significantly higher in females   pesticide exposure time was a main contributing factor to
            with IHD compared to healthy individuals. In addition, the   diseases including IHD, CVD, and diabetes, highlighting a
            prevalence of cigarette smoking and opium consumption   positive relationship between pesticide exposure duration
            was significantly higher in individuals with IHD compared   and CVD risk. Conversely, Dayton  et al.  evaluated the
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            to those without IHD in both genders.              association of pesticide exposure with CVD in female farm
              Table 3 demonstrates the prevalence of IHD according   workers. They demonstrated that there was no significant
            to pesticide exposure. Six variables showed a significant   relationship between pesticide exposure duration and
            association with IHD in men, including the use of   CVD risk. However, they suggested that while pesticide
            pesticides in the farm (P = 0.032), duration of exposure   exposure may not increase the risk of acute poisoning, it
            in the farm (P  = 0.020), duration of exposure at home   could still be a risk factor for CVD. In our results, after
            (P = 0.047), pesticide preparation (P = 0.014), and duration   adjusting for confounding variables, none of the assessed
            of exposure during pesticide preparation (P = 0.039).  variables had a significant association with the prevalence
                                                               of IHD in women. Nevertheless, we agree with Dayton’s
              In Table 4, the association between IHD and pesticide   findings that pesticide exposure could be a potential risk
            exposure is described. The odds ratios (ORs) for IHD   factor for IHD.
            associated with various factors in the univariate model
            were as follows: duration of exposure at home ≤ mean (OR   Zaller and Brühl  reported that the negative effects
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            0.85, 95% CI 0.72 – 0.99), managing pesticide spraying (OR   of  pesticides  were  dose-dependent  and  correlated
            1.27, 95% CI 1.05 – 1.54), and duration of exposure during   with exposure duration. On the other hand, various
            pesticide spraying ≤mean (OR 1.26, 95% CI 1.01 – 1.06).   cardiovascular risk factors, including obesity, hypertension,
            On the other hand, the multivariate model was adjusted   stress, smoking, and dyslipidemia, were observed in
            for confounding variables such as age, gender, education   pesticide exposure cases. 24


            Volume 11 Issue 1 (2025)                        19                            doi: 10.36922/jctr.22.00187
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