Assessment of the relationship between metabolic syndrome and obstructive sleep apnea in male drivers of Shahroud city in 2018: a cross sectional study

Metabolic syndrome (MetS) has attracted global attention in recent years [1, 2]. MetS involves a group of metabolic risk factors that directly increases the likelihood of developing atherosclerotic cardiovascular disease (ASCVD) [3].

According to the WHO, by 2020, chronic non-communicable diseases will account for three-quarters of deaths in developing countries. Changes in dietary patterns, decreased physical activity, and increased smoking are the main causes of non-communicable diseases in recent years [4].

MetS is the one of the most important health problems in the twenty-first century, and shows a growing trend in developed and developing countries. According to ATP III, cardiovascular disease is the first outcome of MetS [5]. Cardiovascular diseases are the leading cause of disability and early deaths worldwide (more than 17.1 million deaths annually since 2010), as well as huge healthcare costs [6]. The causes of the syndrome are unknown; most patients are elderly, obese, with little physical activity and some degree of insulin resistance. The most important affecting factors are genetic background; obesity, especially abdominal obesity; lifestyle; little physical activity; stress and smoking [5].

Over the past 20 years, unlike in the developed countries, the rate of cardiovascular mortality has increased by 20–45% in Iran [7]. MetS is one of the major causes of this trend. In addition, MetS increases the risk of diabetes threefold, so the diagnosis of this syndrome plays a crucial role in the prevention of diabetes and cardiovascular diseases [1].

Unfortunately, the prevalence of MetS has increased in recent years. Many studies have shown that the prevalence of MetS in various countries was between 12.8 and 41.7%, while in Iran it was reported to be between 22 to 31% [8, 9]. The prevalence of MetS in the northern region of Iran was 26.1% according to the ATP III definition, 35.2% according to the IDF definition, and 31.6% according to the AHA definition [10].

MetS prevalence among adults was mostly seen in elderly persons who were overweight or obese [11]. Insulin resistance, abdominal obesity, atherogenic dyslipidemia, endothelial dysfunction, genetic predisposition, hypertension, hypercoagulable state, and chronic stress are among the factors that make up metabolic syndrome [12].

Endothelial dysfunction, sleep duration, and duration of physical inactivity are all associated with MetS [13‐16]. Most researchers reported the positive effect of physical activity on MetS [17‐20].

Recent studies have shown that subjective assessment of longer sleep latency, sleep apnoea syndrome, poor sleep characteristics and quality associated are highly associated with MetS scores [21‐24].

Sufficient sleep is vital for physical and mental health. However, numerous adults suffer from many problems associated with inadequate sleep or poor sleep — from cognitive deficits and behavioural problems to obesity and life-threatening incidents. Therefore, recognizing and treating sleep problems are necessary to promote the adults’ health [25].

Road accidents in Iran are the third leading cause of disability and early death, which has become a public health concern. The mortality rate in road accidents in Iran is higher than in other countries [26]; road accidents account for 30% of all accidents in the country. According to the World Health Organization (WHO), Iran ranked first worldwide in terms of road accidents [27].

Most driving accidents are directly related to human factors [28, 29]; controlling this is one of the most important factors in reducing injuries and death [30]. Given the sensitivity of driving, improving the sleep health of drivers can have a significant effect on reducing mortality and morbidity [31], as drowsiness can increase the risk of road accidents up to six times [32, 33].

Due to their sedentary life style, drivers are more susceptible to diseases, especially to the components of MetS and its complications. Lack of physical activity, the shift work, and changes in dietary habits are among the main causes of health hazards in drivers [34].

Driving in Iran is considered as a very popular but risky occupation, so paying attention to this profession is of special importance. Therefore, the researchers decided to investigate the association between sleep disorders and MetS in drivers in Shahroud city in 2018.

After receiving approval from Occupational Sleep Research Center of Tehran University of Medical Sciences ethics committee, this cross-sectional study was conducted on 948 referred male drivers to Kasra occupational health center for annually health check-up from Shahroud city in 2018. Eligibility criteria were male sex, having mental health and consent to study participation. Female were excluded from this study because a female driver with a Class 1 Driver’s License (a certificate for trucks and buses) and a Class 2 Driver’s License (a certificate for motorcars, minibuses, vans, etc. (seating< 20)) in Iran is rare. In fact, we could only find one women with such credentials. After obtaining the written informed consent of the participants, 3 questionnaires including demographic, Epworth Sleepiness Scale (ESS) and STOP-BANG¹ were given to them. Clinical and anthropometric measurements were assessed including blood pressure, waist circumference, hip circumference, waist to hip ratio, weight, height, and body mass index (BMI). Laboratory tests include HDL, LDL, TG, cholesterol, and FBS² were done after 12 h of fasting.

In this study, 948 drivers with the mean age of 44.15 ± 11.66 were recruited; the minimum age was 22 and the maximum age was 69 years. Six hundred twenty-two drivers (68.8%) had a Class 1 Driver’s License (a certificate for trucks and buses); 281 drivers (29.6%) had a Class 2 Driver’s License (a certificate for motorcars, minibuses, vans, etc. (seating< 20)); and 15 drivers (1.6%) had a Class 3 Driver’s License. Subjects were divided into two groups, 229 subjects (24.9%) were drivers of passenger cars and 719 subjects (75.8%) were drivers of road vehicles. About marital status, 894 subjects (94.3%) were married, and 54 subjects (5.7%) were single. The mean number of children per driver was 2.49 ± 1.16, with a minimum of 1 and a maximum of 7. There were 192 (20.25%) smokers among drivers and the mean number of used pack-year was 7.13 ± 9.25. Also waist to hip ratio was calculated and the mean of this ratio was estimated (0.95 ± 0.06).

According to the ESS, the prevalence of sleepiness was seen at both normal and mild levels in 832 subjects (87.8%) and 116 subjects (12.2%) respectively; no moderate or severe sleepiness was seen in the drivers. Based on the findings of the STOP-BANG questionnaire, a low risk of OSA was found in 712 drivers (75.1%) and a high risk of OSA was seen in 236 drivers (24.9%). Moreover, based on the definitions of ATP and IDF, the prevalence of MetS was found to be 392 (41.4%) and 497 (52.4%), respectively.

The relationship of the demographic and clinical variables with both definitions of MetS is shown in Table 2; as the relationship of the variables with the risk of breathing cessation is summarized in Table 3.

As shown in Table 2, MetS, based on the ATP definition, had a significant relationship with the class of driver’s license and marital status. This association is probably due to BMI differences. As well, MetS, according to both the ATP and IDF definitions, had a significant relationship with age, BMI, HDL, TG, FBS, and HTN (P < 0.05).

As mentioned earlier, the level of sleepiness in drivers was found at both normal and mild levels, and there were no moderate and severe levels of sleepiness; normal and mild levels are shown above. In addition, as shown in Table 3, marital status, BMI, TG, and FBS had a significant relationship with OSA; driving type had a significant relationship with sleepiness; and age and HTN had a significant relationship with OSA and sleepiness (P < 0.05).

The correlation of quantitative clinical variables including blood pressure, HDL, FBS, TG, and quantitative variables of age and BMI with the scores of ESS questionnaire and with both definitions of MetS are shown in Table 4.

The results of Table 4 demonstrate that there was a positive and significant correlation between age and the scores of the questionnaire.

In order to assess the variables affecting MetS based on the ATP and IDF definitions, a logistic regression test in a stepwise method have been used. The results for the ATP definition are shown in Table 5, and those for the IDF definition are shown in Table 6.

According to results, there was a significant relationship between the amount of sleepiness and the type of driving, which could be due to the fact that most drivers with a Class 1 Driver’s License had a higher BMI than other drivers. There was also a positive and significant correlation between the number of children, BMI, laboratory tests and the scores on the STOP-BANG questionnaire.

In the present study, STOP-BANG scores were significantly correlated with the number of years participants had smoked. Also most drivers with a Class 1 Driver’s License were smokers.

In line with the findings of this study, Guglielmi et al. (2017) in a study on 526 truck drivers found that 51.1% of the subjects were at risk of OSA; a high prevalence of sleep problems was seen in this population [44].

In 2016, Anund et al. investigated the factors associated with sleepiness in urban bus drivers. Their results showed that 19% of drivers struggled to stay awake and suffered from severe sleepiness 2 to 3 times a week or more [45]. However, in the present study, sleepiness based on the STOP-BANG score had a significant relationship with the type of vehicle, but this relationship was not seen based on the ESS score.

In addition, in a study on 1413 freight train and passenger train drivers, Gu et al. (2010) found that 48.43% of them had poor sleep quality; their sleep quality was significantly related to occupation, sport, and cigarette and alcohol consumption, but it had no significant relationship with the level of education, marital status, or age [46]. However, Soleimanloo et al. (2017) declared that sleep-related crashes were most common in young drivers (18–24 years); this could be due to less time to sleep, less tolerance for sleepiness, and the ongoing development of the part of the brain involved in decision making [47].

In the current study, MetS based on ATP definition had a significant relationship with the class of driver’s license and marital status; as well, MetS based on both ATP and IDF definitions had significant relationships with age, BMI, HDL, TG, FBS and HTN. Moreover, in the logistic regression analysis, BMI, number of children, and the number of years the driver had smoked were predictive factors for MetS.

In Huang et al.’s study (2016), by holding the drivers’ age constant, it was found that smoking was a risk factor for MetS in professional drivers [48]. In addition, in a study on 12,138 Iranian professional drivers of long vehicles, Mohebbi et al. (2012) using logistic regression suggested that there was a significant relationship between MetS and BMI, smoking, age, driving time per week, and driving experiences [49].

In this study, the correlation between both definitions of metabolic syndrome (ATP and IDF) with sleep apnea based on STOP-BANG questionnaire was significant.

In line with the present study, Lemke et al.’s (2017) cross-sectional study on 262 long vehicle drivers showed that almost 60% of the subjects had MetS criteria, while driving experience and sleep quality was associated with the prevalence and severity of MetS [50]. Also, Huang et al. (2016) indicated that professional bus and taxi drivers had a higher prevalence of MetS than drivers of passenger cars [48]. In addition, Bowman et al. (2019) assessed sleep quality by Pittsburgh Sleep Quality Index. They indicated longer sleep latency related to MetS but the polysomnography studies were not significantly related to MetS [21].

The strength of our study is to examine a large population of professional drivers, hence our results are generalizable to general population of drivers. Moreover, professional driving is a common job in other cities of Iran.

Given the popularity of driving as a profession in Iran and high mortality and morbidity in crashes, drivers’ health is a major factor in reducing mortality rates. Sleepiness during driving is an important risk factor for traffic collisions, and the physical health of drivers affects it. MetS, characterized by abdominal obesity, hypertension and hypertriglyceridemia, causes sleep disorders in drivers. According to the results of this study, drivers with MetS suffer from more sleep disorders. A large number of publications has found conflicting results with that of ours stating that sleep disorders can influence MetS. We hypothesize that, in fact, there is a bi-directional association between sleep disorders and Mets. Thus, in this population, more attention should be paid to periodic occupational medical examination, as well as short-term and long-term training courses. Moreover, some controllable risk factors for sleep disorders and MetS, such as smoking, can be mitigated by acculturalization. As well, after identifying people with MetS, their families should be trained in the prevention and treatment of MetS. Researchers suggest that clinical trials should be conducted on sleep disorders associated with MetS to obtain more accurate results.