Skip to main content
Journal of Family Medicine and Primary Care logoLink to Journal of Family Medicine and Primary Care
. 2020 Nov 30;9(11):5629–5637. doi: 10.4103/jfmpc.jfmpc_934_20

Awareness and prevalence of coronary artery disease risk factors among Saudi adults in Dawadmi, Riyadh province: A cross-sectional study

Abdulmgeed Fahhad H Alruways 1, Nemer Abdulaziz Alotaibi 1, Mohammad Azhar Rashikh 1,, Ali Alhumaidi Alnufeie 1, Yosef Jazza D Alshammari 1, Majed Rashed Alharthy 1, Faisal Jamal M Alanazi 1
PMCID: PMC7842469  PMID: 33532406

Abstract

Objective:

Coronary artery disease (CAD) is one of the leading causes of death and disability worldwide. Amongst the Middle East countries, Saudi Arabia is facing rapid progressive urbanization by the adoption of a westernized lifestyle and food habits, which contribute to the rising burden of CAD. We aim to evaluate the awareness and prevalence of CAD risk factors among Saudi adults.

Methods:

This was a cross-sectional study conducted between January and March 2020. Data were collected through an online survey using a self-administered questionnaire. Data assessed on socio-demographic variables, family history of CAD, knowledge of risk factors, symptoms, and complications of CAD. Results data were entered and analyzed using IBM SPSS statistics, version 25. All comparisons were considered significant at P < 0.05.

Results:

A total of 311 subjects (48.6% men and 51.4% women) included, and most of the participants were between 18 and 25 years. A majority of the participants did not hear about CAD (82%) and unaware of any risk factors (26.4%), symptoms (25.1%), and complications (72.7%) of CAD. The prevalence of a family history of CAD (9.3%), overweight/obesity (58.6%), physical inactivity (79.1%), and smoking (24.1%) observed considerably high among the participants.

Conclusion:

The present study reveals that a significantly low level of awareness and a high prevalence of CAD risk factors found among Saudi adults. Therefore, the awareness program is needed at the public level to increase the knowledge of CAD risk factors so that persons with high risk for future CAD can be prevented.

Keywords: Awareness, coronary artery disease, prevalence, sedentary behaviour, smoking

Introduction

Noncommunicable diseases (NCDs) are the leading cause of mortality globally and estimated to account for 71% of the 57 million global deaths.[1] Among NCDs, cardiovascular disease (CVD), remains the major cause of death and disability worldwide.[1] World Health Organization estimated that about 17.9 million people died from CVD in 2016, demonstrating for 44% of all NCD deaths and 31% of all global deaths.[1] Out of 17.9 million CVD deaths, coronary artery disease (CAD) was responsible for 41.3% (7.4 million) deaths worldwide.[2,3] Among the Gulf Cooperation Council (GCC) countries, Kuwait, United Arab Emirates, Saudi Arabia, and Oman (41, 40, 37, and 36%, respectively) were estimated to have the highest proportion of mortality due to CVDs.[2] In the Middle East countries, the prevalence of CAD has been identified to range from 5.4 to 13.4%.[4,5] However, in Saudi Arabia, the prevalence of CAD was reported between 5 and 6%.[6] The rates of CAD and associated risk factors are significantly high in the GCC countries due to the rapid urbanization, increased consumption of fast foods, adoption of sedentary behaviour, and socioeconomic growth.[7,8,9]

Coronary risk factors generally classified into two main categories: modifiable and nonmodifiable risk factors. The common modifiable risk factors are smoking, consumption of fast foods, physical inactivity, hypertension, diabetes mellitus, dyslipidemia, overweight/obesity, and psychological stress.[10] Nonmodifiable risk factors recognized as old age, gender, and family history to CAD.[11,12,13,14] The mean age for CAD in the Middle East is ten years younger than the mean age for the disease worldwide.[15]

Awareness has defined as prior knowledge of the status of disease risk factors. This knowledge will inform individuals to adopt a healthy diet, weight management, and physical activity.[16] One of the key challenges in controlling CAD is the lack of knowledge of major drugs used in the treatment of CAD, unhealthy diet, and a sedentary lifestyle, which leads to an increase in hospitalizations and mortality.[17] There are very few studies conducted in Saudi Arabia to assess public awareness of risk factors of CAD.[18,19] In this context, our study designed to investigate the prevalence and awareness of risk factors of CAD among the Saudi adult population in the Dawadmi region, Riyadh Province.

Methods

Study design and participants

A cross-sectional study was designed and took place between January and March 2020 in the Dawadmi region of Saudi Arabia. A self-administered questionnaire was distributed among the general public and using a unique web link was sent to the randomly selected study subjects by mail, if there was no response within 2 weeks, a reminder mail sent. The completion of the survey was purely voluntary. In inclusion criteria, participants should be Saudi by citizenship, residents of Dawadmi city, and the villages around, ≥18 years old and either men or women.

Sample size

The total sample size was calculated by Jember, 2018 formula based on the prevalence of CAD-5.5% which was reported in a previous local study [6] at 95% confident interval with 3% allowable error. Therefore, the least sample size for this study was 222, which was exceeded by enrolling 311.

n = (z2pq/I2)[20]

Where

Z = 1.96 for 95% of confidence interval

p = 0.055 for 5.5% prevalence of CAD

q = 1-p = 0.945

I = Allowable error (±3%) = 0.03

= (1.96) 2 × 0.055 × 0.945/(0.03) 2

Sample size (n) = 222

Data collection

Data were collected on a self-administered questionnaire using a unique survey web link. The questionnaire divided into four sections [Supplementary Material]: The first section included seven questions regarding sociodemographic and personal information of the participants (age, sex, place of living, education, nationality, weight, and height). Section 2 contained a family history of CAD from first-degree relatives. The third section included three questions about behavioural risk factors: smoking, fast food intake and physical activity. Section 4 included eight questions about awareness of CAD, where we asked from participants about a regular checkup, ever heard about CAD, know the possible risk factors of CAD, know the symptoms of CAD, know the complications of CAD, threatened to live, knowing drug used in CAD and more health education regarding CAD. Before the administration of the questionnaire, the purpose of the study was briefly and described to the participants. Consent obtained from each participant before data collection. Data were strictly protected for confidentiality when conducting the study. At the end of the questionnaire, an email was provided to the participants to inquire about any unclear questions.

Definitions of risk factors

Physical activity. Subjects considered physically active if they were spending at least 150 minutes per week in aerobic exercises such as walking, jogging, swimming, cycling, family, or community activity.[21,22]

Smoking. Participants who were currently smoking or had quit less than 1 year previously were classified as smokers. Nonsmokers were classified as those who had never smoked or who had quit more than 1 year previously.[21]

Overweight/Obesity. Body mass index (BMI) calculated as weight (kg) divided by height (m2) and used as a marker for overweight and obesity. Height and weight were self-reported by the subjects. Underweight defined as BMI less than 18.5 kg/m2; healthy weight defined as BMI of 18.5–24.9 kg/m2, overweight defined as BMI of 25.0–29.9 kg/m2, while obesity defined as a BMI ≥30.[23]

Ethical approval

Ethical approval obtained from the Institutional Ethics Committee of the College of Medicine, Dawadmi, Shaqra University (project number-CMD/DWD/SU/2020/01/007).

Statistical analysis

Data were entered and evaluated using IBM SPSS statistics, version 25. Categorical variables presented as frequencies and percentages. A Chi-square test of significance was applied for comparisons. All comparisons were considered significant at P < 0.05.

Results

A total of 350 questionnaires were circulated, out of which 311 (88.85% response rate) subjects completed the online survey. Of the participants, 48.6% were men, and 51.4% were women. The present study found that the utmost of the participant's age is between 18 and 25 years. Women had a higher percentage of graduate degrees, and many participants lived in urban areas. The current study also presents BMI fast food intake, physical activity, and smoking behaviour. The results revealed that an equal number of participants were overweight and obese. In total, 79.1% of subjects were found physically inactive, and 24.1% of them had smoking behaviour [Table 1].

Table 1.

Demographic and personal information of participants

Characteristics Participants (n=311) Frequency (%)
Age (Years)
 18-25 137 44.1
 26-35 96 30.9
 36-45 67 21.5
 ≥46 11 3.5
Gender
 Male 151 48.6
 Female 160 51.4
Educational level
 High School 58 18.6
 Diploma 16 5.1
 Bachelor 228 73.3
 Master Degree/PhD 9 2.9
Place of living
 Urban areas 214 68.8
 Rural areas 97 31.2
Body mass index (BMI)
 Underweight 17 5.5
 Normal weight 112 36.0
 Overweight/Obese 182 58.6
Physical activity/Exercise
 No 246 79.1
 Yes 65 20.9
Fast food intake
 Never 50 16.1
 Once a week 157 50.5
 Three times a week 47 15.1
 More than three times a week 57 18.3
Smoking
 Yes 75 24.1
 Family history of CAD 29 9.3

Knowledge of CAD

Table 2 reveals that a minimal number of participants (18%) heard about CAD. In gender comparison, men participants had significantly higher knowledge about CAD compared to their counterpart women, P < 0.01 [Table 2]. At an educational level, the participants who had university degrees were found significantly higher awareness about CAD compared to the primary education level of participants, P < 0.01 [Table 3]. When looking at the relationship between different age groups and people's knowledge of CAD, the inadequate knowledge of CAD was found highest in 26–35 years age group compared to other group participants, and the difference was found statistically significant, P < 0.01 [Table 4].

Table 2.

Awareness of CAD among participants categorized by gender and living place

Characteristics Total (n=311) n (%) Men (M) (n=151) n (%) Women (W) (n=160) n (%) P for M & W # Live in Urban Areas (U) (n=214) n (%) Live in Rural Areas (R) (n=97) n (%) P for U & R #
Regular check-up of health including cholesterol level 34 (10.9) 15 (9.9) 19 (11.9) 0.583 24 (11.2) 10 (10.3) 0.813
Ever heard about CAD 56 (18) 36 (23.8) 20 (12.5) 0.009** 44 (20.6) 12 (12.4) 0.82
Know the complication of CAD 85 (27.3) 46 (30.4) 39 (24.3) 0.229 67 (31.3) 18 (18.6) 0.019*
CAD may lead to death/threaten to life 280 (90.0) 131 (86.8) 149 (93.1) 0.061 197 (92.1) 83 (85.6) 0.077
Know the symptoms of CAD
Do not know 78 (25.1) 46 (30.5) 32 (20.0) 0.184 49 (22.9) 29 (29.9) 0.321
 Know one symptom 96 (30.9) 45 (29.8) 51 (31.9) 70 (32.7) 26 (26.8)
 Know two symptoms 71 (22.8) 32 (21.2) 39 (24.4) 46 (21.5) 25 (25.8)
 Know three symptoms 66 (21.2) 28 (18.5) 38 (23.8) 49 (22.9) 17 (17.5)
Know the risk factors of CAD
 Do not know 82 (26.4) 45 (29.8) 37 (23.1) 0.112 54 (25.2) 28 (28.9) 0.468
 Know one risk factor 92 (29.6) 40 (26.5) 52 (32.5) 61 (28.5) 31 (32.0)
 Know two risk factors 76 (24.4) 31 (20.5) 45 (28.1) 52 (24.3) 24 (24.7)
Know three or more than risk factors 61 (19.6) 35 (23.2) 26 (16.3) 47 (22) 14 (14.4)
Know primary drug used in CAD 43 (13.8) 30 (19.8) 13 (8.1) 0.003* 33 (15.4) 10 (10.3) 0.226
Want more education of CAD 286 (91.9) 134 (88.7) 152 (95) 0.114 200 (93.5) 86 (88.7) 0.398

CAD, coronary artery disease; #Chi-square. *P<0.05 and **P<0.01, considered significant; P>0.05, considered nonsignificant

Table 3.

Awareness of CAD among participants categorized by level of education

Characteristics High school degree (n=58) n (%) Diploma (n=16) n (%) Bachelor (n=228) n (%) Master/PhD (n=9) n (%) P
Regular health checkup including cholesterol level 6 (10.3) 2 (12.5) 24 (10.5) 2 (22.2) 0.734
Ever heard about CAD 5 (8.6) 4 (25) 43 (18.9) 4 (44.4) 0.039*
know complication of CAD 7 (12.1) 4 (25) 71 (31.1) 3 (33.3) 0.034*
CAD may lead to death 49 (84.5) 14 (87.5) 208 (91.2) 9 (100) 0.325
Know the symptoms of CAD
 Do not know 21 (36.2) 7 (43.8) 49 (21.5) 1 (11.1) 0.026*
 Know one symptom 15 (25.9) 8 (50) 69 (30.3) 4 (44.4)
 Know two symptoms 14 (24.1) 0 (0) 56 (24.6) 1 (11.1)
 Know three symptoms 8 (13.8) 1 (6.3) 54 (23.7) 3 (33.3)
Know the risk factors of CAD
 Do not know 21 (36.2) 6 (37.5) 55 (24.1) 0 (0) 0.205
 Know one risk factors 18 (31) 5 (31.3) 66 (28.9) 3 (33.3)
 Know two risk factors 14 (24.1) 2 (12.5) 57 (25) 3 (33.3)
Know three or more than three risk factors 5 (8.6) 3 (18.8) 50 (21.9) 3 (33.3)
Know primary drug used in CAD 3 (5.2) 2 (12.5) 33 (14.5) 5 (55.6) 0.044*
Want more education of CAD 54 (93.1) 14 (87.5) 209 (91.7) 9 (100) 0.345

CAD, coronary artery disease. *P<0.05, considered significant; P>0.05, considered nonsignificant

Table 4.

Awareness of CAD among study participants categorized by different age groups

Characteristics 18-25 years (n=137) n (%) 26-35 years (n=96) n (%) 36-45 years (n=67) n (%) ≥46 years (n=11) n (%) P#
Regular health check-up including cholesterol level 9 (6.6) 7 (7.3) 16 (23.9) 2 (18.2) 0.001***
Ever heard about CAD 35 (25.5) 8 (8.3) 10 (14.5) 3 (27.3) 0.006**
know complication of CAD 44 (32.1) 17 (17.7) 21 (31.3) 3 (27.3) 0.086
Know the symptoms of CAD
 Know one symptom 42 (30.6) 24 (25) 27 (40.3) 3 (27.3) 0.609
 Know two symptoms 33 (24) 24 (25) 11 (16.4) 3 (27.3)
 Know three symptoms 28 (20.4) 19 (19.8) 16 (23.8) 3 (27.3)
Know the risk factors of CAD
 Know one risk factors 40 (29.2) 31 (32.3) 16 (23.8) 5 (45.4) 0.101
 Know two risk factors 26 (18.9) 23 (23.9) 24 (35.8) 3 (27.3)
 Know three or more than three risk factors 34 (24.8) 12 (12.5) 14 (20.9) 1 (9.1)
Know CAD may lead to Death 123 (89.8) 82 (85.4) 65 (97.0) 10 (90.9) 0.115
Know primary drug used in CAD 27 (19.7) 5 (5.2) 10 (14.5) 1 (9.1) 0.017*

CAD, coronary artery disease; #Chi-square test. *P<0.05, **P<0.01, considered significant; ***P<0.001, considered highly significant

Awareness of CAD risk factors, symptoms, and complication

In total, 26.4 and 25.1% of the participants did not know any risk factors and symptoms of CAD, respectively [Table 2]. At an educational level, the participants who had a higher education degree found significantly more knowledgeable about CAD symptoms, P < 0.05 [Table 3]. We also reported the knowledge of CAD complications; only 27.3% of the participants knew the complication of CAD [Table 2]. About the living place, the results of the study showed that urban participants had significantly higher knowledge about a complication of CAD compared to rural participants, P < 0.01 [Table 2].

Knowledge of major drugs used in CAD treatment

A small number of participants knew the primary drug used in CAD treatment [Table 2]. In a relationship with gender and knowledge of major drugs used in CAD treatment, current results showed that men participants had significantly higher knowledge compared to women, P < 0.01 [Table 2]. In a relationship with educational level and knowledge of major drugs used in CAD treatment, significantly higher awareness observed in participants who had a university degree, P < 0.05 [Table 3]. In relationship with different age groups and knowledge of major drugs used in CAD treatment, a significant difference observed between different age groups (P < 0.01), but higher awareness found in 18–25 years age group [Table 4]. The present study results revealed that 91.9% of the participants wanted more community education regarding CAD risk factors, symptoms, and preventive measures [Table 2].

Prevalence of a family history of CAD

The present study demonstrates that 9.3% of the participants had a family history of CAD [Table 1]. Gender and age are the crucial nonmodifiable risk factor of CAD. In gender comparison, the prevalence of a family history of CAD was found significantly high among the women compared to its counterpart, P < 0.05 [Figure 1]. About different age groups, we observed that the prevalence of a family history of CAD was found significantly high among the older age group participants, P < 0.05 [Figure 2].

Figure 1.

Figure 1

Prevalence of CAD risk factors among participants categorized by gender. * P < 0.05; considered significant, *** P < 0.001; considered highly significant. CAD, Coronary artery disease; O/O, overweight/obesity; BMI, Body mass index

Figure 2.

Figure 2

Prevalence of CAD risk factors among study participants categorized by age group. * P < 0.05, ** P < 0.01, considered significant; *** P < 0.001, highly significant; P > 0.05, considered nonsignificant. CAD, Coronary artery disease; O/O, Overweight/Obesity; BMI, Body mass index

Prevalence of overweight/obesity

Table 1 demonstrates that 58.6% of the participants were found overweight/obese. In gender comparison, the prevalence of overweight/obese was seen higher in women compared to men, but the difference was observed nonsignificant, P > 0.05 [Figure 1]. According to age groups, the prevalence of overweight/obese was found significantly higher in the 36–45 year age group, P < 0.001 [Figure 2]. Regarding the educational level, the prevalence of overweight/obese found to be significantly high among the low-level educational degree participants, P < 0.001 [Figure 3].

Figure 3.

Figure 3

Prevalence of CAD risk factors among participants categorized by level of education. * P < 0.05, ** P < 0.01, considered significant; *** P < 0.001, highly significant; P > 0.05, considered nonsignificant. CAD, Coronary artery disease; O/O, Overweight/Obesity; BMI, Body mass index

Prevalence of smoking

In gender comparison, the prevalence of smoking was observed significantly higher among men than in women, P < 0.001 [Figure 1]. According to the age group, the prevalence of smoking found to be significantly high in 46–65 years age group participants, P < 0.05 [Figure 2]. Regarding the educational level, the prevalence of smoking found to be significantly higher among lower educational degree participants, P < 0.01 [Figure 3].

Prevalence of physical inactivity

Table 1 presents that 79.1% of the participants were physically inactive. In gender comparison, the prevalence of physical inactivity was observed higher among women than in men, but the difference was observed nonsignificant, P > 0.05 [Figure 1]. With regards to the educational level, the prevalence of physical inactivity was found slightly higher in lower educational degree participants, and the difference was found nonsignificant, P > 0.05 [Figure 3].

Prevalence of fast food intake

Table 1 shows that 33.4% of the participants consumed fast food at least three times a week. In gender comparison, the prevalence of fast food intake was observed significantly among men, P < 0.001 [Figure 1]. According to the age group, the prevalence of fast food intake was found significantly high in younger age groups, P < 0.001 [Figure 2].

Discussion

There is a fewer number of studies on the knowledge and prevalence of CAD risk factors among the general population of Saudi Arabia. The purpose of this study was to evaluate awareness and prevalence of CAD risk factors and identify demographic variables associated with knowledge levels among the Saudi adult community. In the present study, two-third of the participants had a university degree, which is higher than Palestine,[24] Oman,[25] and Cameroon [26] but lower than the United Arab Emirates [27] and Kuwait.[28]

The results showed that a meagre percentage of study participants heard about CAD (18%). This finding is lower than any earlier studies.[25,26] The relatively low level of knowledge among the entire sample in the present study could be due to inadequate educational programs, deprived knowledge of health science, and a low number of community health centres. The study results also revealed that women participants had significantly less knowledge about CAD compared to men. This result was inconsistent with an earlier study, which indicated that women had more knowledge of CAD.[29] It might be due to the lack of health awareness programs in female health care centres in Saudi Arabia. The present study revealed that university degree participants heard about CAD with a better percentage than those with primary and diploma educational degrees. Therefore, the higher education system, especially in health science, could be vital in increasing the level of CAD knowledge.

The results of the current study publicized that 74.9% of study participants identified at least one symptom of CAD that consistent with India [30] and higher than Malaysia.[31] Women in our study observed to be more knowledgeable about symptoms of CAD than men. Similar results reported in other studies conducted in the United Arab Emirates [27] and Kuwait.[28] Therefore, our results indicated that participants from urban areas and a university degree had good knowledge of CAD symptoms.

Concerning CAD risk factors, our study participants had good knowledge, which was higher in women compared to men. About 73.6% of the population could identify at least one risk factor of CAD. This awareness is consistent with India [30] and found it better than Malaysia [31] and Cameroon.[26] It might be due to the majority of our participants had a university level of education, but in Malaysia and Cameroon, the majority had an elementary level of education. The results showed that only 13.8% of participants knew about significant drugs used in CAD, and women's knowledge was significantly lower than that of men. It suggests that improving awareness through education is likely necessary to achieve better control of CAD and its associated complication in Saudi Arabia. Our results also revealed that 91.9% of participants were interested in getting more education on CAD.

Family histories of CAD and advanced age are the critical, independent risk factors of CAD.[14,32] The present results showed that families from older age group participants had a higher prevalence of CAD, which is consistent with earlier studies.[33,34,35] Our study also revealed that women had a higher prevalence of CAD, which is consistent with local and Indian study results.[33,36]

In the present study, we found that 58.6% of the participants had a BMI of ≥25 kg/m2. Our BMI results are consistent with the previous study of Saudi Arabia [37] but lower than Oman [25] and Lebanon [38] and higher than the Cameroon population.[26] BMI has been significantly high in urban, older age, women, and lower educational level participants compared to their counterparts. Similar results reported in earlier local studies of Saudi Arabia.[21,39,40] This finding revealed that overweight and obesity were directly associated with urbanization, older age, lower educational level, unhealthy diet habits, and sedentary lifestyle. With the reduction of obesity, the study results emphasized that people should educate about the higher risk of CAD associated with obesity. They offered guidance for weight reduction through a healthy lifestyle incorporating a balanced diet and adequate exercise, pharmacological and surgical means.

Cigarette smoking is another modifiable risk factor of CAD and a critical role in the development of premature CAD. Smoking habits vary according to gender, age, socioeconomic status, and education.[41] In our present study, the prevalence of smoking found consistent with a prior study of Saudi Arabia [21] while higher than India.[36] Cigarette smoking acts synergistically with other conventional risk factors, greatly increasing the baseline risk associated with each risk factor individually.[42,43] Thus, eradicating cigarette smoking is of dramatic public health importance because it could delay the onset of CAD by a decade. With the reduction of smoking behaviour, the Ministry of Health will have to apply effective antismoking media campaigns and the provision of antismoking clinics to support individuals who want to quit smoking.

Fast food intake and physical inactivity considered as major modifiable risk factors for CAD.[44,45,46] The present study results revealed that one-third of the study participants consumed fast food three times a week. However, the consumption of fast food was found more significantly among younger age men participants. Our study results also showed that the majority of participants (79.1%) spent a sedentary lifestyle and did not involve in regular exercise, which is consistent with previous local studies.[13,21,33,37] Sedentary behaviour was observed more prevalent in female participants. The present finding recognized that sedentary behaviour among the Saudi population is more significant than China and the United States.[47] Rising in sedentary behaviour among the Saudi population may be due to rapid development and economic growth. Therefore, the Ministry of Health should start the awareness program regarding the benefits of exercise among the general population and positively encourage people to improve their behaviour to reduce CAD.

Conclusion

The results of the current study suggest that the Saudi population have a low level of awareness of risk factors, symptoms, and complication of CAD. Modifiable risk factors such as smoking, overweight/obesity, fast food intake, and physical inactivity were significantly associated with knowledge levels. More than one-fourth of the total participants could not identify any single CAD risk factors. Results also showed that about one-third of Saudi adults had more than two risk factors of CAD. We accept that this is due to urbanization, a westernized lifestyle, low physical activity, and poor health educational programs. Therefore, general public health awareness programs and cardiac educational activities should implement to increase the level of awareness among the Saudi population about CAD and to reduce the prevalence of this life-threatening disease. Further studies are required to determine the crucial causes for the lower awareness and high prevalence of CAD risk factors in the Saudi population.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.

Supplementary material

Survey Questions
Personal Information
 1. Sex:  □Male  □Female
 2. Age:  □18-25 years  □26-35 years  □36-45 years  □46-65 years
 3. Education  □High School  □Diploma  □Bachelor  □Master/Ph.D.
 4. Nationality  □Saudi  □Non-Saudi
 5. Living area  Dawadmi City  Dawadmi Village
 6. Weight:
 7. Height:
Do your first-degree relatives (mother, father, full sibling) have coronary artery disease diagnosed by a physician? □Yes □No
Risk factors questions
 1. Smoking  □Yes  □No
 2. Physical activity/exercise (spending at least 150 min per week in aerobic exercises such as walking, jogging, swimming, cycling, family or community activity)  □Yes  □No
 3. How many times do you eat junk food?
 Never  □Once a week  □Three times a week  □More than three times a week
Health awareness questions
1. Do you do regular checkup including cholesterol level ?  □Yes  □No
2. Have you ever heard about coronary artery disease?  □Yes  □No
3. Which one of the following is leading to coronary artery disease? “you can choose one or more than one”
 I do not know
 Family history of CAD
 Obesity
 Chronic diseases (hypertension, diabetes, high cholesterol level/dyslipidemia)
 Smoking
 Eating junk food
 Physical inactivity
4. Which one of the following symptom is related to coronary artery disease? “you can choose more than one”
 I do not know
 Chest pain
 Shortness of breathing
 Pain radiated of left arm
5. Do you have knowledge about complication of coronary artery disease?  □Yes  □No
6. Do you think that coronary artery disease threatened your life?  □Yes  □No
7. Do you know the primary drugs used in CAD?  □Yes  □No
8. Do you think that there should be more education regarding about CAD?  □Yes  □No

Key findings:

  • Saudi adults affirmed to have poor knowledge about CAD and its risk factors

  • One-fourth of Saudi adults did not know any single risk factors of CAD

  • 72.7% of Saudi adults did not know about the complication of CAD

  • More than 58% of Saudi adults noted to have at least two risk factors of CAD

  • 9.3% of the participants perceived to have a family history of CAD

  • Prevalence of fast food intake was observed significantly high among male and younger age group participants (P < 0.001)

References

  • 1.World Health Organization 2013. Global action plan for the prevention and control of noncommunicable disease 2013-2020. Geneva: [Last accessed on 2020 Sep 07]. Available from: who.int/nmh/events/ncd_action_plan/en/ [Google Scholar]
  • 2.World Health Organization. (2018) Noncommunicable diseases country profiles 2018. World Health Organization; Available from: https://apps.who.int/iris/handle/10665/274512 . [Google Scholar]
  • 3.Sanchis-Gomar F, Perez-Quilis C, Leischik R, Lucia A. Epidemiology of coronary heart disease and acute coronary syndrome. Ann Transl Med. 2016;4:256. doi: 10.21037/atm.2016.06.33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Nsour M, Mahfoud Z, Kanaan MN, Balbeissi A. Prevalence and predictors of nonfatal myocardial infarction in Jordan. East Mediterr Health J. 2008;14:818–30. [PubMed] [Google Scholar]
  • 5.Zeidan RK, Farah R, Chahine MN, Asmar R, Hosseini H, Salameh P, et al. Prevalence and correlates of coronary heart disease: First population-based study in Lebanon. Vasc Health Risk Manag. 2016;12:75–84. doi: 10.2147/VHRM.S97252. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Aljefree N, Ahmed F. Prevalence of cardiovascular disease and associated risk factors among adult population in the Gulf region: A systematic review. Adv Public Health. 2015;2015:1 23. [Google Scholar]
  • 7.Mabry RM, Reeves MM, Eakin EG, Owen N. Evidence of physical activity participation among men and women in the countries of the gulf cooperation council: A review. Obes Rev. 2010;11:457–64. doi: 10.1111/j.1467-789X.2009.00655.x. [DOI] [PubMed] [Google Scholar]
  • 8.Traina MI, Almahmeed W, Edris A, Murat Tuzcu E. Coronary heart disease in the Middle East and North Africa: Current status and future goals. Curr Atheroscler Rep. 2017;19:24. doi: 10.1007/s11883-017-0659-9. [DOI] [PubMed] [Google Scholar]
  • 9.Salam AM, Sulaiman K, Al-Zakwani I, Alsheikh-Ali A, Aljaraallah M, Al Faleh H, et al. Coronary artery disease prevalence and outcome in patients hospitalized with acute heart failure: An observational report from seven Middle Eastern countries. Hospital Pract. 2016;44:242–51. doi: 10.1080/21548331.2016.1246945. [DOI] [PubMed] [Google Scholar]
  • 10.Danaei G, Ding EL, Mozaffarian D, Taylor B, Rehm J, Murray CJ, et al. The preventable causes of death in the United States: Comparative risk assessment of dietary, lifestyle, and metabolic risk factors. PLoS Med. 2009;6:e1000058. doi: 10.1371/journal.pmed.1000058. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, et al. Heart disease and stroke statistics--2015 update: A report from the American Heart Association. Circulation. 2015;131:e29–322. doi: 10.1161/CIR.0000000000000152. [DOI] [PubMed] [Google Scholar]
  • 12.Hajar R. Risk factors for coronary artery disease: Historical perspectives. Heart Views. 2017;18:109–14. doi: 10.4103/HEARTVIEWS.HEARTVIEWS_106_17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Kalaf H, AlMesned A, Soomro T, Lasheen W, Ewid M, Al-Mohaimeed AA. Cardiovascular disease risk profile among young Saudi women of Qassim, Saudi Arabia: A cross-sectional study. Int J Health Sci. 2016;10:29–37. doi: 10.12816/0031214. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Huma S, Tariq R, Amin F, Mahmood KT. Modifiable and non-modifiable predisposing risk factors of myocardial infarction-A review. J Pharm Sci Res. 2012;4:1649–53. [Google Scholar]
  • 15.Khot UN, Khot MB, Bajzer CT, Sapp SK, Ohman EM, Brener SJ, et al. Prevalence of conventional risk factors in patients with coronary heart disease. JAMA. 2003;290:898–904. doi: 10.1001/jama.290.7.898. [DOI] [PubMed] [Google Scholar]
  • 16.World Health Organization. The World Health Report 2002: Reducing Risks, Promoting Healthy Life. Geneva: 2002. [DOI] [PubMed] [Google Scholar]
  • 17.Heydari A, Ziaee ES, Gazrani A. Relationship between awareness of disease and adherence to therapeutic regimen among cardiac patients. Int J Community Based Nurs Midwifery. 2015;3:23–30. [PMC free article] [PubMed] [Google Scholar]
  • 18.Almalki MA, AlJishi MN, Khayat MA, Bokhari HF, Subki AH, Alzahrani AM, et al. Population awareness of coronary artery disease risk factors in Jeddah, Saudi Arabia: A cross-sectional study. Int J Gen Med. 2019;12:63–70. doi: 10.2147/IJGM.S184732. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Alotaibi AM, Albahlal A, Alotaibi F, Alkurdi F, Atef M, Almuhraj M, et al. General public awareness about symptoms and risk factors of some cardiovascular diseases in KSA, Riyadh 2017. IJSER. 2018;9:603. [Google Scholar]
  • 20.Jember A, Hailu M, Messele A, Demeke T, Hassen M. Proportion of medication error reporting and associated factors among nurses: A cross sectional study. BMC Nurs. 2018;17:9. doi: 10.1186/s12912-018-0280-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Soofi MA, Youssef MA. Prediction of 10-year risk of hard coronary events among Saudi adults based on prevalence of heart disease risk factors. J Saudi Heart Assoc. 2015;27:152–9. doi: 10.1016/j.jsha.2015.03.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Fletcher GF, Blair SN, Blumenthal J, Caspersen C, Chaitman B, Epstein S, et al. A statement for health professionals by the Committee on Exercise and Cardiac Rehabilitation of the Council on Clinical Cardiology, American Heart Association. Circulation. 1992;86:340–4. doi: 10.1161/01.cir.86.1.340. [DOI] [PubMed] [Google Scholar]
  • 23.Tsigos C, Hainer V, Basdevant A, Finer N, Friend M, Maths-Vliegen E, et al. Management of obesity in adults: European clinical practice guidelines. Obesity Facts. 2008;1:106–16. doi: 10.1159/000126822. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Khdour MR, Hallak HO, Shaeen M, Jarab AS, Al-Shahed QN. Prevalence, awareness, treatment and control of hypertension in the Palestinian population. J Hum Hypertens. 2013;27:623–8. doi: 10.1038/jhh.2013.26. [DOI] [PubMed] [Google Scholar]
  • 25.Ammouri AA, Tailakh A, Isac C, Kamanyire JK, Muliira J, Balachandran S. Knowledge of coronary heart disease risk factors among a community sample in Oman: Pilot study. Sultan Qaboos Univ Med J. 2016;16:e189–96. doi: 10.18295/squmj.2016.16.02.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Aminde LN, Takah N, Ngwasiri C, Noubiap JJ, Tindong M, Dzudie A, et al. Population awareness of cardiovascular disease and its risk factors in Buea, Cameroon. BMC Public Health. 2017;17:545. doi: 10.1186/s12889-017-4477-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Khan NS, Shehnaz SI, Guruswami KG, Ibrahim MAS, Mustafa JAS. Knowledge of warning signs, presenting symptoms and risk factors of coronary heart disease among the population of Dubai and Northern Emirates in UAE: A cross-sectional study. Nepal J Epidemiol. 2017;7:670–80. doi: 10.3126/nje.v7i2.17973. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Awad A, Al-Nafisi H. Public knowledge of cardiovascular disease and its risk factors in Kuwait: A cross-sectional survey. BMC Public Health. 2014;14:1131. doi: 10.1186/1471-2458-14-1131. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Seef S, Jeppsson A, Stafström M. What is killing.People's knowledge about coronary heart disease, attitude towards prevention and main risk reduction barriers in Ismailia, Egypt (descriptive cross-sectional study)? Pan Afr Med J. 2013;15:137. doi: 10.11604/pamj.2013.15.137.1628. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Peter S, Mashhadi M, Ajith DJ, Pandit N, Sinha RS. Awareness about Coronary Artery Disease (CAD) among relatives of CAD patients. Natl J Community Med. 2017;8:437–41. [Google Scholar]
  • 31.Sarriff A, Amin AM, Mostafa H. Public knowledge and awareness of cardiovascular diseases and the expected role of community pharmacists in the prevention and management of cardiovascular diseases in Penang, Malaysia. Chiang Mai Univ J Nat Sci. 2014;13:355–69. [Google Scholar]
  • 32.Goel PK, Bharti BB, Pandey CM, Singh U, Tewari S, Kapoor A, et al. A tertiary care hospital-based study of conventional risk factors including lipid profile in proven coronary artery disease. Indian Heart J. 2003;55:234–40. [PubMed] [Google Scholar]
  • 33.AlQuaiz AM, Siddiqui AR, Kazi1 A, Batais MA, Al-Hazmi AM. Sedentary lifestyle and Framingham risk scores: A population-based study in Riyadh city, Saudi Arabia. BMC Cardiovasc Disord. 2019;19:88. doi: 10.1186/s12872-019-1048-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Sahadevan M, Chee KH, Tai MS. Prevalence of extracranial carotid atherosclerosis in the patients with coronary artery disease in a tertiary hospital in Malaysia. Medicine (Baltimore) 2019;98:e15082. doi: 10.1097/MD.0000000000015082. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Mashat AA, Subki AH, Bakhaider MA, Baabdullah WM, Walid JB, Alobudi AH, et al. Atrial fibrillation: Risk factors and comorbidities in a tertiary center in Jeddah, Saudi Arabia. Int J Gen Med. 2019;12:71–7. doi: 10.2147/IJGM.S188524. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Sekhri T, Kanwar RS, Wilfred R, Chugh P, Chhillar M, Aggarwal R, et al. Prevalence of risk factors for coronary artery disease in an urban Indian population. BMJ Open. 2014;8(4):e005346. doi: 10.1136/bmjopen-2014-005346. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Alzeidan R, Rabiee F, Mandil A, Hersi A, Fayed A. Non-communicable disease risk factors among employees and their families of a Saudi University: An epidemiological study. PLoS One. 2016;11:e0165036. doi: 10.1371/journal.pone.0165036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Ghaddar F, Salameh P, Saleh N, Farhat F, Chahine R, Lahoud N, et al. Noncardiac Lebanese hospitalized adult patients’ awareness of their coronary artery disease risk factors. Vasc Health Risk Manag. 2018;14:371–82. doi: 10.2147/VHRM.S176167. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Alquaiz AM, Kazi A, Qureshi R, Siddiqui AR, Jamal A, Shaik SA. Correlates of cardiovascular disease risk scores in women in Riyadh, Kingdom of Saudi Arabia. Women Health. 2015;55:103–17. doi: 10.1080/03630242.2014.972020. [DOI] [PubMed] [Google Scholar]
  • 40.Memish ZA, El Bcheraoui C, Tuffaha M, Robinson M, Daoud F, Jaber S, et al. Obesity and associated factors--Kingdom of Saudi Arabia, 2013. Prev Chronic Dis. 2014;11:E174. doi: 10.5888/pcd11.140236. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Al-Nuaim A, Al-Rubeaan K, Al-Mazrou Y, Khoja T, AlAttas O, Al-Daghari N. National chronic metabolic disease survey 1995. 1st ed. Riyadh, KSA: Ministry of Health and King Saud University; 1997. [Google Scholar]
  • 42.Keil U, Liese AD, Hense HW, Filipiak B, Döring A, Stieber J, et al. Classical risk factors and their impact on incident non-fatal and fatal myocardial infarction and all-cause mortality in southern Germany. Results from the MONICA Augsburg cohort study 1984-1992. Monitoring Trends and Determinants in Cardiovascular Diseases. Eur Heart J. 1998;19:1197–207. doi: 10.1053/euhj.1998.1089. [DOI] [PubMed] [Google Scholar]
  • 43.Moradi-Lakeh M, El Bcheraoui C, Tuffaha M, Daoud F, AlSaeedi M, Basulaiman M, et al. Tobacco consumption in the Kingdom of Saudi Arabia, 2013: Findings from a national survey. BMC Public Health. 2015;15:611. doi: 10.1186/s12889-015-1902-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Al-Hazzaa HM. Physical inactivity in Saudi Arabia. An underserved public health issue. Saudi Med J. 2010;31:12789. [PubMed] [Google Scholar]
  • 45.Khalaf A, Ekblom Ö, Kowalski J, Berggren V, Westergren A, Al-Hazzaa H. Female university students’ physical activity levels and associated factors--A cross-sectional study in southwestern Saudi Arabia. Int J Environ Res Public Health. 2013;10:3502–17. doi: 10.3390/ijerph10083502. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.ALFaris NA, Al-Tamimi JZ, Al-Jobair MO, Al-Shwaiyat NM. Trends of fast food consumption among adolescent and young adult Saudi girls living in Riyadh. Food Nutr Res. 2015;59:26488. doi: 10.3402/fnr.v59.26488. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Li X, Zhang Y, Wang M, Lv X, Su D, Li Z, et al. The prevalence and awareness of cardiometabolic risk factors in Southern Chinese population with coronary artery disease. Sci World J. 2013:416192. doi: 10.1155/2013/416192. doi: 10.1155/2013/416192. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Journal of Family Medicine and Primary Care are provided here courtesy of Wolters Kluwer -- Medknow Publications

RESOURCES