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Awareness of cardiovascular risk factors among university students in Turkey

Published online by Cambridge University Press:  03 September 2019

F. Esra Güneş*
Affiliation:
Department of Nutrition and Dietetic, Faculty of Health Science, Marmara University, İstanbul, Turkey
Nural Bekiroglu
Affiliation:
Department of Biostatistics, Faculty of Medicine, Marmara University, İstanbul, Turkey
Neşe Imeryuz
Affiliation:
Department of Gastroenterology, Faculty of Medicine, Marmara University, İstanbul, Turkey
Mehmet Agirbasli
Affiliation:
Department of Cardiology, Faculty of Medicine, Marmara University, İstanbul, Turkey
*
Author for correspondence: F. Esra Güneş, Marmara Üniversitesi Sağlık Bilimleri Fakültesi, Beslenme ve Diyetetik Bölümü, Basıbuyuk Saglık Kampusu, Basıbuyuk Maltepe 34000 İstanbul, Turkey. E-mail: [email protected]
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Abstract

Aim:

To determine the awareness of cardiovascular risk factors among university students in Turkey.

Background:

Cardiovascular disease (CVD) is the leading cause of death in developed countries. The use of tobacco products and unhealthy diet are prominent habits that increase the risk of CVD.

Methods:

Healthy university students (n = 2450) aged between 18 and 22 years in Istanbul filled out the questionnaire about the awareness of CVD risk factors and participated in this cross-sectional study. They were asked several questions with regard to the importance of CVD risk factors.

Findings:

The leading responses for men and women were, respectively, high cholesterol (58.3; 72.3%), stress (58.8; 71.8%), hypertension (50; 64.2%), smoking (53.1; 58.7%), obesity (46.8; 64.3%), diabetes (41.7; 52.7%), inactivity (43.3; 47.8%), and CVD in family history (31.8; 44.4%). Unhealthy diet (9.7; 15.3%), exposure to second-hand cigarette smoking (24.4; 34%), and poor socioeconomic status (22.6; 22.3%) were also considered to be important. The study also revealed that men disregard the risk factors more frequently. Another comparison between body mass index groups revealed that obese subjects gave significantly lower importance to cardiovascular risk factors.

Conclusion:

Observations indicate that awareness levels of CVD risk factors have to be improved among university students. It is emphasized that primary healthcare workers are very important in the screening of CVD risk factors in an opportunistic and systematic way and in providing consultancy on changing risky behaviors (diet, smoking, etc.). Therefore, it is of utmost importance that primary healthcare workers make interventions to reduce the risk level by determining the CVD risk.

Type
Research
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s) 2019

Background

Cardiovascular diseases (CVD) are one of the leading causes of death all over the world, and by 2030, more than 23 million people are expected to die from CVD according to the World Health Organization (WHO, 2013). A previous study in Turkish adult population (aged >20 years) indicated that the prevalence of heart diseases and CVD is 6.7% (6.2% in males and 7.3% in females) and 3.8% (4.1% in males and 3.5% in females), respectively (MedCHAMPS, 2012). Another study conducted in 2006 indicated the prevalence of CVD at 3%, 11%, and 27% in 39–49, 50–59, and >60 years of age, respectively (Onat et al., Reference Onat, Albayrak, Karabulut, Ayhan, Kaya and Küçükdurmaz2007; MedCHAMPS, 2012). According to the study by TUIK (2016), the leading mortality is from CVD, with 40.4% of deaths from noninfectious diseases.

The Framingham study has investigated the causes and formation of CVD in the United States since 1930s. According to the results of this study, the number of standard risk factors of CVD are elevated total cholesterol, high systolic blood pressure, cigarette smoking, low high-density lipoprotein cholesterol, obesity, unhealthy diet, poor nutritional status, age, family history, and male gender (D’Agostino et al., 2001).

In addition, CVD risk factors may depend on local and ethnic characteristics. For example, in sub-Saharan Africa, high blood pressure, high cholesterol, tobacco and alcohol use, and low fruit and vegetable consumption are significant risk factors for CVD (WHO, 2004). Prolonged exposure to these factors, especially in childhood, may cause CVD in the future (Leeder et al., Reference Leeder, Raymond, Greenberg, Liu and Esson2004). TEKHARF (Onat et al., Reference Onat, Karakoyun, Akbaş, Karadeniz, Karadeniz, Çakır, Şimşek and Can2015), METSAR (Kozan et al., Reference Kozan, Oguz, Abaci, Erol, Ongen, Temizhan and Celik2007) and Turkey Nutrition and Health Survey-2010 (2014) are epidemiological studies about CVD conducted in Turkey. Although this study overestimates some risk factors contributing for today’s populations and may not transfer well to ethnic groups properly, it gives an idea about risk factors of CVD. The perception of individuals regarding CVD not only determines their reactions to the diseases, but also affects the chance of preventive interventions against risks. Perception about the severity and risks of diseases has formed the basis of many health behavior theories (Ajzen et al., Reference Ajzen1991; Weinstein et al., Reference Weinstein, Rothman and Sutton1998; Molarius et al., Reference Molarius, Seidell, Sans, Tuomilehto and Kuulasmaa1999; Leventhal et al., Reference Leventhal, Brissette, Leventhal, Cameron and Leventhal2003; Aljefree and Ahmed, Reference Aljefree and Ahmed2015). While determining the steps in enhancing awareness about health, we should assess the level of awareness of the young and educated individuals, that is, university students. Baseline awareness is quite important in terms of planning effective interventions. Previous studies have demonstrated that understanding the severity of CVD is significantly lower compared with perception about cancer in the population (Mosca et al., Reference Mosca, Ferris, Fabunmi and Robertson2004; Wang et al., Reference Wang, O’Neill, Rothrock, Gramling, Sen, Acheson, Rubinstein, Nease and Ruffin2009). Moreover, some studies indicated significant difference between the genders in terms of level of awareness (Aalto et al., Reference Aalto, Weinman, French, Aro, Manderbacka and Keskimaki2007; Wang et al., Reference Wang, O’Neill, Rothrock, Gramling, Sen, Acheson, Rubinstein, Nease and Ruffin2009). Awareness is a prerequisite for the successful control of diseases and generates self-administered behavioral modification for diabetes, hypertension, and hypercholesterolemia (Langellier et al., Reference Langellier, Garza, Glik, Prelip, Brookmeyer, Roberts, Peters and Ortega2012).

On the contrary, awareness of risk factors and healthy lifestyle reduces the risk of CVD, while it also reduces the growing CVD-related expenses. For instance, in 2004, nearly $368 billion was spent for CVD treatment in the United States (American Heart Association, 2003). In 2016, the economic burden of CVD in Turkey, including direct healthcare costs and indirect costs from lost productivity, was estimated at US$10.2 billion. Most of this burden ($5.9 billion) was associated with ischemic disease, while cerebrovascular disease costs were estimated at $4.2 billion (Balbay et al., Reference Balbay, Gagnon-Arpin, Malhan, Öksüz, Sutherland, Dobrescu, Villa, Ertuğrul and Habib2018). Meanwhile, it is known that the savings in medical costs will increase economic productivity and quality of life (Thomas, Reference Thomas2005). The evaluation of population in terms of potential risks and preventive measures within the frame of social behavioral models can potentially increase the success level in the battle against CVD (Marteau and Weinman, Reference Marteau and Weinman2006).

Thus, the aim of the present study was to determine the level of awareness among university students, especially freshman, in terms of risk factors such as obesity and unhealthy diet. Early adoption of such risky habits among young people may cause CVD in their future life.

Methods

Participants and data collection

Freshman university students (n = 2450) between 18 and 22 years enrolled to this cross-sectional study. Of the total participants, 1196 were boys (48.8%) and 1254 were girls (51.2%). The subjects were attending their first-year classes at health science schools in Istanbul, Turkey: a state university (Marmara University, n = 721) and a private university (Yeditepe University, n = 1804). All freshman students who were attending the university on the survey day and accepted the invitation to respond voluntarily to the questionnaire were included in the study. The response rate was quite high: out of 2525 students, 2450 (97.03%) answered the whole questionnaire.

All subjects were asked to complete the questionnaire; the questionnaires were completed in a classroom before an exam, when almost all of the students (so the coverage was 95%) were present.

Height and weight were self-reported by the subjects. Body mass index (BMI) values of participants were evaluated by dividing into categories: ⩽18.9, 19.0–24.9, 25.0–29.9, and ⩾30.0 kg/m2 was considered ‘underweight,’ ‘normal,’ ‘overweight,’ and ‘obese,’ respectively (Najjar and Rowland, Reference Najjar and Rowland1987; Manson et al., Reference Manson, Willett, Stampfer, Colditz, Hunter, Hankinson, Hennekens and Speizer1995).

The questionnaire

A committee consisting of a cardiologist, a gastroenterologist, a biostatistician, and a dietitian worked together to determine the content validity of the questionnaire. Before the application of the survey, a pilot study was performed. An initial draft of the questionnaire was given to 15 students of the same age and gender of the target population to test its feasibility. Necessary revisions were made on the initial draft.

The questionnaire used in the study was composed of 13 questions, which included demographic characteristics such as gender, age, smoking habits, family history of CVD of the participants, and indicated the level of knowledge and perception of CVD risk factors (obesity, stress, hypertension, drinking, smoking, family history of CVD, number of meals, diabetes, hypercholesterolemia, etc.), as well as necessary measures (smoking cessation, stress management, tension control, healthy diet, etc.). CVD risk factors in formation and measures to be taken were selected as specified in the literature (D’Agostino et al., Reference D’Agostino, Grundy, Sullivan and Wilson2001). The level of awareness was evaluated via five-point Likert-type questions. The questionnaire was completed by the participants.

The study was approved by the Institutional Review Board of Marmara University.

Statistical analysis

Statistical analysis was performed using the Statistical Package for the Social Sciences software program (SPSS Inc., Chicago, IL, USA), version 15.0. Demographic data were analyzed by descriptive statistics, and data about the level of awareness were analyzed by chi-square statistics. Unpaired t-test was used for between-group comparisons of continuous variables, and P-value < 0.05 was considered significant.

Findings

Of the 2450 subjects enrolled in the study, there were 1196 boys and 1254 girls. Mean height, weight, and BMI of the subjects were 171.99 ± 10.10 cm, 64.27 ± 13.62 Kg, and 21.57 ± 3.36 kg/m2, respectively. Demographic data of the subjects according to gender are demonstrated in Table 1. Accordingly, there were significant differences between boys and girls in terms of height, weight, and BMI with higher values in boys (P < 0.001 for all).

Table 1. Demographic characteristics of subjects

BMI, body mass index.

The distribution of BMI values according to genders is presented in Table 2. There was a significant difference between genders in terms of BMI values with higher BMI in boys (P < 0.001).

Table 2. Distribution of BMI groups between genders

BMI = body mass index.

The distribution of life style characteristics of the subjects according to gender and BMI groups is summarized in Table 3. With regard to smoking status, for boys and girls, 31.6–18.4% of the subjects were active smokers (n = 375–230), whereas 4.1–0.9% had quitted (n = 48–36). Smoking status of the participants was evaluated according to gender and BMI categories. There was a significant correlation between them (P < 0.001). Among male and female smokers, 83.4–87.8% were smoking a packet of cigarettes or lower in a day, whereas 17.6–12.2% were smoking more than a packet.

Table 3. Distribution of life style factors between genders and BMI groups

BMI = body mass index.

First-degree relatives (mothers, fathers, or siblings) of 40.4–44.0% (n = 483–552) of the subjects were under treatment for heart disease, diabetes, or hypertension. Participants’ family history of the disease was assessed according to BMI values, and there was a significant relationship between them (P < 0.001).

Regarding fat consumption routines for both boys and girls, it was determined that 22.2–12.4% (n = 264–155) of the subjects were using butter, 15.7–9.6% (n = 186–120) were using margarine, 53.2–63% (n = 632–786) were using olive oil, 33.4–34.1% (n = 397–426) were using sunflower seed/corn/soy oil, and 3.9–4.8% (n = 46–60) were using hazelnut oil. Fat consumption of the participants was evaluated according to gender and BMI categories and a significant relationship between them (P < 0.001).

With regard to the importance given by the subjects to CVD risk factors, the leading responses were as follows: high cholesterol (65.6%), stress (65.5%), hypertension (57.3%), smoking (56%), obesity(55.8%), diabetes (47.3%), inactivity (45.6%), alcohol consumption (40.7%), similar disease in family history (38.3%), unhealthy diet (35.7%), exposure to second-hand cigarette smoke (31.1%), and poor economic status (26.3%). Comparison between genders revealed that boys gave significantly lower importance to these risk factors compared with women. Comparison between BMI groups revealed that obese subjects gave significantly lower importance to these risk factors as well (Table 4).

Table 4. Perspectives of subjects about risk factors of cardiovascular diseases according to gender, BMI groups, family history of disease, and smoking status

BMI = body mass index.

Fam.Hist.Disease, cardiovascular disease in family history.

CVD risk factors were evaluated according to gender and BMI status. In terms of obesity, a significant relationship was detected between diet, gender, family disease status, and CVD. Less physical activity, stress, and having similar disease in the family were significantly related with gender and BMI. While passive smoking, alcohol consumption, smoking, and hypertension were related with only BMI, only diabetes was significantly related with gender (Table 4).

The question of ‘preventive measures that risky subjects should take’ was considered significantly more important by women than men (Table 5). Smoking, alcohol consumption, and stress withdrawal were significantly different across BMI groups, and these factors seemed to be less important in obese groups compared with other groups (Table 5).

Table 5. Preventive measures for the subjects at risk of cardiovascular disease according to gender, BMI groups, family history of disease, and smoking status

BMI = body mass index.

Fam.Hist.Disease, cardiovascular disease in family history.

Discussion

In a previous cross-sectional study in the same population, we investigated the relation between eating habits and a high BMI among freshman students (Gunes et al., Reference Gunes, Bekiroglu, Imeryuz and Agirbasli2012). Our observations indicated that cultural and local issues guide the adoption of healthier feeding behaviors among university students. To extend our analysis further, we analyzed the awareness of CVD risk factors among university students in relation to the four categories of BMI in the same cross-sectional study. Among our participants, 322 were overweight or obese (BMI 25). The Turkey Health Interview Survey, conducted by TUIK (2016), found that (for the 15+ age group) 38.6% of men were overweight and 15.2% obese, while 30.1% of women were overweight and 23.9% obese (TUİK; http://tuik.gov.tr/PreTablo.do?alt_id=1095). Similarly, male gender was an independent predictor of obesity/overweight status compared with female gender in this study.

The present study was performed on the first-year university students to determine the awareness of young people about risk factors of CVD, such as obesity, unhealthy nutrition, or lifestyle behaviors. These behaviors are very important since at least 80% of CVD most commonly occur due to conventional risk factors. Prevention of these risk factors might decrease morbidity and mortality by 80–90% (Çengel, Reference Çengel2010). The presence of unfavorable lifestyle behaviors is responsible for the majority of deaths due to CVD (Mokdad et al., Reference Mokdad, Marks, Stroup and Gerberding2004).

The awareness of healthy lifestyle behavior is crucial, particularly in young age, since the structural basis of CVD, such as atherosclerotic plaque, prepares their foundation in early years. Being aware of healthy living in early ages would help to take cardioprotective precautions before the occurrence of irreversible changes in the organism (Hayman et al., Reference Hayman, Williams, Daniels, Steinberger, Paridon, Dennison and McCrindle2004).

Obesity, a considerable risk factor for CVD, is a common disorder that may be considered a strong stimulant to increase the level of awareness in the population. In the present study population, it was observed that awareness about CVD risk factors was lower in the obese group compared with the normal-weight group. Reiner et al. (Reference Reiner, Sonicki and Tedeschi-Reiner2012) have found that the perception and knowledge about risk factors of CVD were insufficient among young people. In another study, Vanhecke et al. (Reference Vanhecke, Miller, Franklin, Weber and McCullough2006) have investigated the awareness, knowledge, and perception of adolescents about heart diseases and found that young people generally had similar levels of awareness compared with their counterparts. In this the healthy population, because of some of them that having a family member with CVD, their awareness of healthy living are expected to raise; however, Hunt et al. (Reference Hunt, Williams and Barlow1986) showed that this is not the determinant of healthy lifestyle behaviors in young adults. On the contrary, having a family history of CVD is a strong predictor of subsequent disease if not taken under control at the right time, and healthy lifestyle should be established among young people regardless of the risk of parental inheritance. However, studies on college students have revealed that students generally adopted their parents’ behaviors and habits that contributed to CVD (Tamragouri et al., Reference Tamragouri, Martin, Cleavenger and Sieber1986).

Gender is another important factor in the awareness of CVD risk factors. In literature, women presented more awareness about risk factors of CVD (Mosca et al., Reference Mosca, Ferris, Fabunmi and Robertson2004), whereas men have the opinion that their health status is better compared to that of women (Romero, Reference Romero2004). Women are also under a high risk of asymptomatic CVD. A study by Çengel (Reference Çengel2010) has revealed that cases of a structural heart disease proceeding to a sudden cardiac death are lower in women than men, and that the identification of risk factors is a major step in protection from CVD, especially in women who have asymptomatic cardiovascular disease.

Christian et al. (Reference Christian, Rosamond, White and Mosca2007) determined that the level of awareness among American females about CVD risk factors increased by twofold in the last decade. Studies have demonstrated that awareness about the symptoms of heart diseases is increasing among women than men (Zbierajewski-Eischeid and Loeb, Reference Zbierajewski-Eischeid and Loeb2009). Consistent with literature, the results of the present study revealed that the level of awareness about CVD risk factors is higher among women.

The risk factors of mortality in CVD are generally similar across studies, which are obesity, smoking, and high cholesterol levels (Anding et al., Reference Anding, Kubena, McIntosh and O’Brien1996; Navas-Nacher et al., Reference Navas-Nacher, Colangelo, Beam and Greenland2001). The awareness about these factors is generally similar as well. However, Steptoe et al. studied the trends of healthy lifestyle factors among university students from 13 European countries (Belgium, England, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, The Netherlands, Poland, Portugal, and Spain) between 1990 and 2000 and revealed that there is a downward trend in the beliefs about the importance of diet and quitting smoking. Moreover, the study also indicated that there was an increasing trend in smoking during this period (Steptoe et al., Reference Steptoe, Wardle, Cui, Bellisle, Zotti, Baranyai and Sanderman2002; Vanhecke et al., Reference Vanhecke, Miller, Franklin, Weber and McCullough2006). According to TURDEP II (Satman et al., Reference Satman, Tutuncu, Gedik, Dinccag, Karsidag, Yilmaz, Omer, Kalaca, Telci, Cakir and Tuomilehto2011) study results, in the Turkish society, the proportion of smokers has decreased. In the general population, smoking rates decreased from 29.8% in 1998 to 17.3% in 2010. However, male smokers are over 30%. The rate of smoking cessation increased from 3.8% to 12.1%. These results show that during the 12-year period, the proportion of smokers in Turkey decreased by 42% (Satman et al., Reference Satman, Omer, Tutuncu, Kalaca, Gedik, Dinccag, Karsidag and Cakir2011).

In the present study, cigarette smoking was associated with increased awareness of risk factors of CVD. This result is in agreement with a previous finding that smoking decreases healthy lifestyle factors, and it is a major independent risk factor of CVD (Talukder et al., Reference Talukder, Johnson, Varadharaj, Lian, Kearns, El-Mahdy, Liu and Zweier2011).

Another important protective factor against the development of CVD is maintaining healthy eating behaviors. Studies have shown that the Mediterranean diet, which is rich in fruits, whole grains, fish, vegetables, and especially olive oil, has beneficial effects on cardiovascular protection (Estruch et al., Reference Estruch, Martínez-González, Corella, Salas-Salvadó, Ruiz-Gutiérrez, Covas, Fiol, Gómez-Gracia, López-Sabater, Vinyoles and Arós2006). The American Heart Association has generalized their recommendations for total calorie intake and healthy eating behaviors for children and adolescents (Gidding et al., Reference Gidding, Dennison, Birch, Daniels, Gillman, Lichenstein, Rattay, Steinberger, Stettler and Van Horn2005; Steinberger et al., Reference Steinberger, Daniels, Eckel, Hayman, Lustig, McCrindle and Mietus-Snyder2009; Sarpong et al., Reference Sarpong, Curry and Williams2017). In the present study, the role of diet in CVD was also questioned, and it was found that subjects with both a family member with CVD and who are nonsmokers are more aware of the importance of dietary factors in the development of CVD. This awareness could be accounted for the awareness of healthy lifestyle factors in this population.

Having a relatively large sample size, including healthy subjects from a wide range of socio-economical groups, is a strength of this epidemiological study. This large sample belonging to Turkish universities indicates that the subjects represented the target population suitably. And, there has been no comprehensive study in Turkey evaluating the perception and awareness of young people about the risks of CVD.

Followings are the potential limitations: food quantity was not measured, self-reported BMI was used, body fat content was not measured, and physical activity was not questioned.

The results of the present study were generally consistent with literature data. Previous studies on this topic have also reported that young people have rather limited awareness of certain risk factors of CVD, and suggested that strategies should be developed to enhance the level of knowledge about healthy lifestyle behaviors in general population (Dodani et al., Reference Dodani, Mistry, Farooqi, Khwaja, Qureshi and Kazmi2004; Aminde et al., Reference Aminde, Takah, Ngwasiri, Noubiap, Tindong, Dzudie and Veerman2017).

Conclusion

Primary prevention is vital to combat the consequences of CVD in developing countries where resources are limited. The present study showed that awareness of CVD needs to improve significantly among the university students. Male gender and obesity are important determinants of CVD awareness. It is crucial that conscious-raising interventions are needed for risk groups (ie, obese, smoker, family history). School and community programs (ie, SMART Project, Bogalusa Heart Study) prove to be efficient interventions that can lead similar efforts in developing countries. Universities should include awareness programs on CVD in their curriculum. It has been emphasized that primary healthcare workers are very important in the screening of CVD risk factors in an opportunistic and systematic way and in providing consultancy on changing risky behaviors (diet, smoking, etc.). Therefore, it is of utmost importance that primary healthcare workers make interventions to reduce the risk level by determining the CVD risk.

Authors’ Contribution

All authors contributed to the interpretation, writing, and approval of the final manuscript.

Financial Support

No financial support was received at any stage of this study and the costs were covered by the authors.

Conflict of Interest

The authors declare that they have no conflicting or competing interests.

Footnotes

The original version of this article was submitted with incorrect author affiliations. A notice detailing this has been published and the error rectified in the online PDF and HTML copies.

References

Aalto, AM, Weinman, J, French, DP, Aro, AR, Manderbacka, K and Keskimaki, I (2007) Sociodemographic differences in myocardial infarction risk perceptions among people with coronary heart disease. Journal of Health Psychology 12, 316329.CrossRefGoogle ScholarPubMed
Ajzen, I (1991) The theory of planned behavior. Organizational Behavior and Human Decision Processes 50, 179211.CrossRefGoogle Scholar
Aljefree, N and Ahmed, F (2015) Prevalence of cardiovascular disease and associated risk factors among adult population in the Gulf region: a systematic review. Advances in Public Health 23, 1.CrossRefGoogle Scholar
American Heart Association (2003) Heart disease and stroke statistics: (2004) update. Dallas, TX: American Heart Association.Google Scholar
Aminde, LN, Takah, N, Ngwasiri, C, Noubiap, JJ, Tindong, M, Dzudie, A and Veerman, JL (2017) Population awareness of cardiovascular disease and its risk factors in Buea, Cameroon. BMC Public Health 17, 545.CrossRefGoogle ScholarPubMed
Anding, JD, Kubena, KS, McIntosh, A and O’Brien, B (1996) Blood lipids, cardiovascular fitness, obesity, and blood pressure: the presence of potential coronary heart disease risk faetors in adolescents. Journal of the American Dietetic Association 96, 238242.CrossRefGoogle ScholarPubMed
Balbay, Y, Gagnon-Arpin, I, Malhan, S, Öksüz, ME, Sutherland, G, Dobrescu, A, Villa, G, Ertuğrul, G and Habib, M (2018) Modeling the burden of cardiovascular disease in Turkey. Anatolian Journal of Cardiology 20, 235.Google ScholarPubMed
Çengel, A (2010) Cardiovascular risk factors in women. Archives of the Turkish Society of Cardiology 38, 1724.Google ScholarPubMed
Christian, AH, Rosamond, W, White, AR and Mosca, L (2007) Nine-year trends and racial and ethnic disparities in women’s awareness of heart disease and stroke: an American Heart Association national study. Journal of Women’s Health (Larchmt) 16, 6881.CrossRefGoogle ScholarPubMed
D’Agostino, RB, Grundy, S, Sullivan, LM and Wilson, P (2001) CHD Risk Prediction Group. validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation. JAMA 286, 180187.CrossRefGoogle ScholarPubMed
Dodani, S, Mistry, R, Farooqi, M, Khwaja, A, Qureshi, R and Kazmi, K (2004) Prevalence and awareness of risk factors and behaviours of coronary heart disease in an urban population of Karachi, the largest city of Pakistan: a community survey. Journal of Public Health 26, 245249.CrossRefGoogle Scholar
Estruch, R, Martínez-González, MA, Corella, D, Salas-Salvadó, J, Ruiz-Gutiérrez, V, Covas, MI, Fiol, M, Gómez-Gracia, E, López-Sabater, MC, Vinyoles, E and Arós, F (2006) Effects of a Mediterranean-style diet on cardiovascular risk factors: a randomized trial. Annals of Internal Medicine 145, 111.CrossRefGoogle ScholarPubMed
Gidding, SS, Dennison, BA, Birch, LL, Daniels, SR, Gillman, MW, Lichenstein, AH, Rattay, KT, Steinberger, J, Stettler, N and Van Horn, L (2005) Dietary recommendations for children and adolescents: a guide for practitioners: consensus statement from the American Heart Association. Circulation 112, 20612075. [Published corrections appear in Circulation. 2005; 112: 2375 and 2006; 113: e857.]CrossRefGoogle ScholarPubMed
Gunes, FE, Bekiroglu, N, Imeryuz, N and Agirbasli, M (2012) Relation between eating habits and a high body mass index among freshman students: a cross-sectional study. Journal of the American College of Nutrition 31, 167174.CrossRefGoogle Scholar
Hayman, LL, Williams, CL, Daniels, SR, Steinberger, J, Paridon, S, Dennison, BA, McCrindle, BW and Committee on Atherosclerosis, Hypertension, and Obesity in Youth (AHOY) of the Council on Cardiovascular Disease in the Young, American Heart Association (2004) Cardiovascular health promotion in the schools. Circulation 110, 22662275.CrossRefGoogle ScholarPubMed
Hunt, SC, Williams, RR and Barlow, GK (1986) A comparison of positive family history: definitions for defining risk of future disease. Journal of Chronic Diseases 39, 809821.CrossRefGoogle ScholarPubMed
Kozan, O, Oguz, A, Abaci, A, Erol, C, Ongen, Z, Temizhan, A and Celik, S (2007) Prevalence of the metabolic syndrome among Turkish adults (METSAR). European Journal of Clinical Nutrition 61, 548553.CrossRefGoogle Scholar
Langellier, BA, Garza, JR, Glik, D, Prelip, ML, Brookmeyer, R, Roberts, CK, Peters, A and Ortega, AN (2012) Immigration disparities in cardiovascular disease risk factor awareness. Journal of Immigrant and Minority Health 14, 918925.CrossRefGoogle ScholarPubMed
Leeder, S, Raymond, S, Greenberg, H, Liu, H and Esson, K (2004) A race against time: the challenge of cardiovascular disease in developing countries. New York: Trustees of Columbia University.Google Scholar
Leventhal, H, Brissette, I and Leventhal, EA (2003) The common-sense model of selfregulation of health and illness. In Cameron, LD and Leventhal, H, editors, The selfregulation of health and illness behavior. New York: Routledge, 4265.Google Scholar
Manson, JE, Willett, WC, Stampfer, MJ, Colditz, GA, Hunter, DJ, Hankinson, SE, Hennekens, CH and Speizer, FE (1995) Body weight and mortality among women. The New England Journal of Medicine 333, 677685.CrossRefGoogle ScholarPubMed
Marteau, TM and Weinman, J (2006) Self-regulation and the behavioural response to DNA risk information: a theoretical analysis and framework for future research. Social Science & Medicine 62, 13601368.CrossRefGoogle ScholarPubMed
Mediterranean studies of cardiovasculer disease and hyperglycaemia analytical modelling of population socio-economic transitions (MedCHAMPS) (2012) Turkey final report 2012. Retrieved from https://research.ncl.ac.uk/media/sites/researchwebsites/medchamps/MedchampsRapor.pdf Google Scholar
Mokdad, AH, Marks, JS, Stroup, DF and Gerberding, JL (2004) Actual causes of death in the United States, 2000. JAMA 291, 12381245.CrossRefGoogle ScholarPubMed
Molarius, A, Seidell, JC, Sans, S, Tuomilehto, J and Kuulasmaa, K (1999) Varying sensitivity of waist action levels to identify subjects with overweight or obesity in 19 populations of the WHO MONICA Project. Journal of Clinical Epidemiology 52, 12131224.CrossRefGoogle ScholarPubMed
Mosca, L, Ferris, A, Fabunmi, R and Robertson, RM (2004) Tracking women’s awareness of heart disease: an American Heart Association national study. Circulation 109, 573579.CrossRefGoogle ScholarPubMed
Najjar, MF and Rowland, M (1987) Anthropometric reference data and prevalence of overweight, United States, 1976–80. Vital and Health Statistics. Series 11, Data from the National Health Survey 238, 173. Washington, DC: Government Printing Office, National Center for Health Statistics. DHHS publication no. (PHS) 87-1688.Google Scholar
Navas-Nacher, EL, Colangelo, L, Beam, C and Greenland, P (2001) Risk factors for coronary heart disease in men 18 to 39 years of age. Annals of Internal Medicine 134, 433439.CrossRefGoogle ScholarPubMed
Onat, A, Albayrak, S, Karabulut, A, Ayhan, E, Kaya, Z and Küçükdurmaz, Z (2007) Mortality and coronary events in the Turkish adult risk factor survey 2006: mortality is declining in women whereas overall prevalence of coronary heart disease is on the incline. Archives of the Turkish Society of Cardiology 35, 149153.Google Scholar
Onat, A, Karakoyun, S, Akbaş, T, Karadeniz, F, Karadeniz, Y, Çakır, H, Şimşek, B and Can, G (2015) Turkish Adult Risk Factor survey 2014: overall mortality and coronary disease incidence in Turkey’s geographic regions. Türk Kardiyoloji Derneği Arşivi – Archives of the Turkish Society of Cardiology 43, 326332.Google ScholarPubMed
Reiner, Z, Sonicki, Z and Tedeschi-Reiner, E (2012) The perception and knowledge of cardiovascular risk factors among medical students. Croatian Medical Journal 53, 278284.CrossRefGoogle ScholarPubMed
Romero, DR (2004) Cardiovascular disease risk and college students: do men and women differ, Thesis of the Degree Master of Science in Kinesiology. Fullerton, CA: Faculty of California State University.Google Scholar
Sarpong, DF, Curry, IY and Williams, M (2017) Assessment of knowledge of critical cardiovascular risk indicators among college students: does stage of education matter? International Journal of Environmental Research and Public Health 14, 250.CrossRefGoogle ScholarPubMed
Satman, I, Omer, B, Tutuncu, Y, Kalaca, S, Gedik, S, Dinccag, N, Karsidag, K and Cakir, B (2011, September) Diabetes epidemic in Turkey: results of the second population-based survey of diabetes and risk characteristics in Turkey (TURDEP-II). In Diabetologia, Volume 54. New York: Springer, S140S140.Google Scholar
Satman, I, Tutuncu, Y, Gedik, S, Dinccag, N, Karsidag, K, Yilmaz, T, Omer, B, Kalaca, S, Telci, A, Cakir, B, Tuomilehto, and The TURDEP-II Study Group (2011) Diabetes epidemic in Turkey: results of the second population based survey of diabetes and risk characteristics in Turkey (TURDEP-II). Diabetologia 54, 2498.Google Scholar
Steinberger, J, Daniels, SR, Eckel, RH, Hayman, L, Lustig, RH, McCrindle, B and Mietus-Snyder, ML (2009) Progress and challenges in metabolic syndrome in children and adolescents: a scientific statement from the American Heart Association Atherosclerosis, Hypertension, and Obesity in the Young Committee of the Council on Cardiovascular Disease in the Young; Council on Cardiovascular Nursing; and Council on Nutrition, Physical Activity, and Metabolism. Circulation 119, 628647.CrossRefGoogle Scholar
Steptoe, A,Wardle, J, Cui, W, Bellisle, F, Zotti, AM, Baranyai, R and Sanderman, R (2002) Trends in smoking, diet, physical exercise, and attitudes toward health in European university students from 13 countries, 1990–2000. Preventive Medicine 35, 97104.CrossRefGoogle ScholarPubMed
Talukder, MAH, Johnson, WM, Varadharaj, S, Lian, J, Kearns, PN, El-Mahdy, MA, Liu, X and Zweier, JL (2011) Chronic cigarette smoking causes hypertension, increased oxidative stress, impaired NO bioavailability, endothelial dysfunction, and cardiac remodeling in mice. American Journal of Physiology-Heart and Circulatory Physiology 300, H388H396.CrossRefGoogle ScholarPubMed
Tamragouri, RN, Martin, RW, Cleavenger, RL and Sieber, WK Jr (1986) Cardiovascular risk factors and health knowledge among freshman college students with a family history of cardiovascular disease. Journal of American College Health 34, 267270.CrossRefGoogle ScholarPubMed
Thomas, A (2005) Cardiovascular disease in the developing world and ıts cost-effective management. Circulation 112, 35473553.Google Scholar
Turkey Health Survey (2016) Turkish Statistical Institute. Retrieved from http://tuik.gov.tr/PreTablo.do?alt_id=1095 Google Scholar
Turkey Nutrition and Health Survey-2010 (2014) Ministry of Health General Directorate of Health Research in Turkey, Evaluation of Nutritional Status and Habits Final Report. Ankara, Turkey: Ministry of Health Publication Number: 931. Retrieved from http://www.sagem.gov.tr//TBSA_Beslenme_Yayını.pdfGoogle Scholar
Vanhecke, TE, Miller, WM, Franklin, BA, Weber, JE and McCullough, PA (2006) Awareness, knowledge, and perception of heart disease among adolescents. The European Journal of Cardiovascular Prevention & Rehabilitation 13, 718723.CrossRefGoogle ScholarPubMed
Wang, C, O’Neill, SM, Rothrock, N, Gramling, R, Sen, A, Acheson, LS, Rubinstein, WS, Nease, DE and Ruffin, MT (2009) Comparison of risk perceptions and beliefs across common chronic diseases. Preventive Medicine 48, 197202.CrossRefGoogle ScholarPubMed
Weinstein, ND, Rothman, AJ and Sutton, SR (1998) Stage theories of health behavior: conceptual and methodological issues. Health Psychology 17, 290299.CrossRefGoogle ScholarPubMed
World Health Organization (2004) The atlas of heart disease and stroke. Geneva, Switzerland: World Health Organization. Retrieved 14 February 2005 from http://www.who.int/cardiovascular_diseases/resources/atlas/en/ Google Scholar
World Health Organization (2013) Cardiovascular disease. Geneva, Switzerland: World Health Organization. Retrieved from http://www.who.int/cardiovascular_diseases/en/; http://www.who.int/healthinfo/global_burden_disease/GBD_report2004updatepart2.pdf Google Scholar
Zbierajewski-Eischeid, SJ and Loeb, SJ (2009) Myocardial infarction in women: promoting symptom recognition, early diagnosis, and risk assessment. Dimensions of Critical Care Nursing 28, 16.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Demographic characteristics of subjects

Figure 1

Table 2. Distribution of BMI groups between genders

Figure 2

Table 3. Distribution of life style factors between genders and BMI groups

Figure 3

Table 4. Perspectives of subjects about risk factors of cardiovascular diseases according to gender, BMI groups, family history of disease, and smoking status

Figure 4

Table 5. Preventive measures for the subjects at risk of cardiovascular disease according to gender, BMI groups, family history of disease, and smoking status