https://commons.ufh.ac.za/vital/access/manager/Index en-us 5 https://commons.ufh.ac.za/vital/access/manager/Repository/vital:35314 Wed 12 May 2021 23:40:16 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:35285 Wed 12 May 2021 19:43:47 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:37203 Wed 12 May 2021 18:03:23 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:35657 Wed 12 May 2021 17:26:56 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:35603 Wed 12 May 2021 16:21:44 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:37176 Thu 13 May 2021 13:56:43 SAST ]]> https://commons.ufh.ac.za/vital/access/manager/Repository/vital:35463 0.64); and WHtR and WC (>0.62). There exists a good agreement between WC and WHR. Also, a moderate agreement exists between WC and WHtR, WC and NC, WHR and WHtR, and WHtR and NC. The prevalence of above normal body composition for participants with hypertension was 71.0 percent, 65.9 percent, 63.2 percent and 66.5 percent by WC, WHR, WHtR and NC, respectively. For diabetes, the prevalence was 20.6 percent, 19.4 percent, 17.0 percent and 18.6 percent by WC, WHR, WHtR and NC, respectively. Waist circumference was a stronger predictor of hypertension and diabetics, with odds ratio of 3.7 (95 percent CI: 2.3-6.1 and 3.1 (95 percent CI: 1.6-6.0), compared to NC, with odds ratio of 1.7 (95 percent CI: 1.1-2.8). The prevalence of pre-hypertension was 33.7 percent and hypertension was 57.0 percent. Age, marital status, level of education, period of driving, obesity, alcohol, sweet drinks consumption and diabetes were significantly associated with hypertension. After adjusting for confounders, age >35 years (P=0.004), obesity and alcohol use (P<0.001), period of driving >5years (p=0.028) and diabetes (P=0.003) were significant predictors of hypertension. Prevalence of pre-diabetes and diabetes was 17 percent and 16 percent, respectively. Of those who were diabetic (n=63), the majority were aware of their diabetes status (n=43) and were on treatment (n=30). Age, marital status, level of education, period of driving, obesity, sweet drinks consumption, physical activities and hypertension were significantly associated with diabetes. Only age >35 (AOR= 3.6, CI 1.2-11.1), ever married (AOR= 3.3, CI 1.5-7.0) and hypertension (AOR= 3.4, CI 1.7-6.8) were the independent predictors of diabetes after adjusting for confounders. The prevalence of metabolic syndrome was 22 percent. Age, marital status, level of education, physical inactivity and period of driving were significantly associated with metabolic syndrome. After adjusting for confounders, only age above 35 years (Adjusted Odd Ratio [AOR] =3.8, CI=1.4- 9.5), ever married (AOR=3.0, CI=1.6-5.3) and period of driving above five years (AOR= 2.4, CI=1.2-4.7) were the significant and independent predictors of metabolic syndrome. About 30 percent of the participants were daily smokers, 37 percent consume alcohol regularly and only 18 percent were physically active, while 82 percent were physically inactive. In conclusion, there was a high prevalence of obesity, hypertension and diabetes among the commercial drivers in this setting, which is associated with unhealthy lifestyles (smoking, excessive alcohol consumption, physical inactivity). Interventions aimed at promoting cardiovascular health of commercial drivers such as health education and workplace screening, should prioritize weight reduction, healthy eating and physical activity in this population.]]> Thu 13 May 2021 00:20:29 SAST ]]>