Epidemiological study of cardiovascular risk factors among public transport drivers in rural area of Chittoor district of Andhra Pradesh

Udayar, Sharvanan E; Sampath, Shankar; Arun, Dr.Abhishek; Sravan, Sai

doi:10.18203/2394-6040.ijcmph20150778

Cited by 19 publications

(29 citation statements)

References 11 publications

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“…Age, duration of driving, alcohol use, abdominal obesity and diabetes were significant predictors of hypertension among the study participants. This corroborates several studies [10,14,19,22]. Consistent with other studies [10,15,22], a higher prevalence of hypertension was found among participants older than 35 years compared to those below 35 years.…”

Section: Discussionsupporting

confidence: 93%

“…Finally, alcohol usage was significantly associated with hypertension among the study participants. This finding agrees with Udayar et al, study [14], but is in contrast with other studies [19,22]. Although, controversies exist on the impact of alcohol on health, while moderate alcohol drinking has been shown to improve cardiovascular function, especially among younger age groups, heavy consumption (more than three at a sitting) impacts negatively on cardiovascular health, especially hypertension and atrial fibrillation [53,54].…”

Section: Discussionsupporting

confidence: 90%

“…Although several studies have been conducted on the prevalence of hypertension in the general population in South Africa [6, 15 -18], by contrast, the profiling of hypertension among commercial taxi drivers has not been undertaken. However, studies exist on hypertension among commercial drivers in other countries, such as Nigeria [19 -21], India [10,14,22,23], Iran [24,25], Brazil [26], Korea [27], Hong Kong [28] and Taiwan [29]. Understanding the magnitude of this problem among commercial taxi drivers is necessary so as to inform health policy makers who have the capacity to implement appropriate intervention strategies in designing a health program tailored to the needs of this special population.…”

Section: Introductionmentioning

confidence: 99%

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Driving to Better Health: Screening for Hypertension and Associated Factors Among Commercial Taxi Drivers in Buffalo City Metropolitan Municipality, South Africa

Adedokun¹,

Goon²,

Owolabi³

et al. 2017

TOPHJ

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Background:Hypertension is a critical public health issue in South Africa. Commercial taxi drivers constitute a vulnerable group who are predisposed to hypertension due to the nature of their work. Yet, unlike other population sub-groups, their health status and lifestyle behaviour have rarely been investigated.Objective:To screen for hypertension and the associated risks factors among commercial taxi drivers in Buffalo City Metropolitan Municipality (BCMM), South Africa.Methods:This was a cross-sectional, descriptive study of a convenience sample of 403 commercial taxi drivers in BCMM. The modified WHO STEPwise questionnaire was used for obtaining demographic and behavioural information from the participants. Blood pressure (BP), blood glucose and anthropometric measurements followed standard procedure. Pre-hypertension was defined as systolic BP of 120-139 mmHg and diastolic BP of 80-89 mmHg and hypertension was defined as a systolic BP ≥140mmHg and/or diastolic BP of ≥90mmHg, self-reported history of hypertension or current medication use. Descriptive and inferential statistics were used to determine the prevalence and associated factors of hypertension. A p-value ≤ 0.05 was considered statistically significant.Results:The study participants were 98.8% male, age ranged from 20 to 74 years, with a mean age of 43.3 years (SD±12.5).The prevalence of pre-hypertension was 33.7% and hypertension was 57.0%. 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.Conclusion:The prevalence of hypertension among commercial taxi drivers in BCMM is high and associated with ageing and other cardiovascular risk factors. There is a need for interventions aimed at promoting healthy lifestyle and reduction of hypertension among this group, particularly the older ones.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

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Driving to Better Health: Screening for Hypertension and Associated Factors Among Commercial Taxi Drivers in Buffalo City Metropolitan Municipality, South Africa

Adedokun¹,

Goon²,

Owolabi³

et al. 2017

TOPHJ

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“…With an expected prevalence of hypertension as 45% and 20% allowable error of prevalence, the minimum sample size required for the study was 122. 1 With a non-response rate of 20%, the total sample required for this study was 153. A total 175 truck drivers were studied.…”

Section: Sample Sizementioning

confidence: 99%

Morbidity profile of truck drivers: a South Indian cross-sectional study

Mathew

Veyilmuthu

Palanisamy

et al. 2019

Int J Community Med Public Health

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Background: Recent studies have shown that workers on the transport industry are more predisposed to cardiovascular morbidity and other health morbidities due to their improper diet and sedentary lifestyle. This study was aimed at assessing the common morbidity profile among the truck drivers and associated demographic and clinical parameters considered relevant to the development of cardiovascular disease.Methods: This was a cross sectional study conducted among 175 truck drivers aged 18-60 years at the Walayar check post, Coimbatore, southern India. After getting informed consent, a detailed physical examination was conducted. Socio demographic information was also elicited.Results: It was observed that 50% of the truck drivers were overweight and obese. Hypertensives were 41.1% and diabetics were 12%. About 27.4% had raised systolic blood pressure (BP) and 29.1% had raised diastolic BP. Low back pain was observed in 34.3%, hip pain in 24.6%, knee pain in 9.7%, shoulder pain in 5.4%, diminished vision in 4.6%, giddiness in 2.3% and hearing defects in 1.1% of the truck drivers.56.6% were current smokers and 66.3% were taking alcohol consumption more than 4 times a month. Older age was found to be a significant independent predictor [odds ratio OR 1.04 (95% CI 1.03-1.05)] for the total number of cardio vascular disease morbidities.Conclusions: We observed a higher morbidity among the truck drivers and observed that periodic health appraisals are needed.

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“…6,7 In recent years, waist-to-height ratio (WHtR) and conicity index (CI) are some other increasingly used indicators that reflect the distribution of adiposity in the body's central region and related metabolic risks in children and adults. 8,9 Other studies, [10][11][12][13] of the drivers' community also used these different anthropometric indices and concluded that various adverse health outcomes such as hypertension, cardiovascular diseases, and stroke are all associated with excess weight. However, studies that analyzed the efficacy of these anthropometric parameters (BMI, WHR, WHtR, and CI) to identify central obesity in drivers are scarce.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Anthropometric Parameters of Central Obesity among Professional Drivers, A Receiver Operating Characteristic (ROC) Analysis

Asif¹,

Aslam

Altaf

et al. 2020

Kesmas: National Public Health Journal

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Different anthropometric parameters have been proposed for assessing central obesity. The diagnostic performance of these anthropometric parameters and their ability to correctly measure central obesity for the professional community, like drivers, is questionable and needs to be assessed. The study aimed to examine the diagnostic performance of anthropometric parameters as indicators of central obesity in drivers as measured by waist circumference (WC) and to determine the best cut-off values for these parameters that would identify obese drivers. Anthropometric measurements from a cross-sectional sample of 197 professional drivers were taken under standard protocol. Receiver operating characteristics (ROC) analysis was used to examine the diagnostic performance and to determine the optimal cut-off point of each anthropometric parameter to identify centrally obese drivers. It was found that WC had a significant positive correlation with all other obesity indicators. The ROC curve analysis indicated that all the parameters analyzed had a good performance, but the waist-to-height ratio (WHtR) had a more predictive value of the area under the curve (AUC). Optimal cut-offs to identify central obesity in drivers were 0.55, 2.06, 0.95, and 25.44 for WHtR, conicity index, waist-to-hip ratio, and body mass index, respectively. These cut-off points for different indicators can be used to detect central obesity for drivers.

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Epidemiological study of cardiovascular risk factors among public transport drivers in rural area of Chittoor district of Andhra Pradesh

Cited by 19 publications

References 11 publications

Driving to Better Health: Screening for Hypertension and Associated Factors Among Commercial Taxi Drivers in Buffalo City Metropolitan Municipality, South Africa

Driving to Better Health: Screening for Hypertension and Associated Factors Among Commercial Taxi Drivers in Buffalo City Metropolitan Municipality, South Africa

Morbidity profile of truck drivers: a South Indian cross-sectional study

Evaluation of Anthropometric Parameters of Central Obesity among Professional Drivers, A Receiver Operating Characteristic (ROC) Analysis

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