This article appeared in a journal published by Elsevier. The attached
copy is furnished to the author for internal non-commercial research
and education use, including for instruction at the authors institution
and sharing with colleagues.
Other uses, including reproduction and distribution, or selling or
licensing copies, or posting to personal, institutional or third party
websites are prohibited.
In most cases authors are permitted to post their version of the
article (e.g. in Word or Tex form) to their personal website or
institutional repository. Authors requiring further information
regarding Elsevier’s archiving and manuscript policies are
encouraged to visit:
http://www.elsevier.com/copyright
Author's personal copy
CVD Prevention and Control (2011) 6, 1– 7
available at www.sciencedirect.com
journal homepage: www.elsevierhealth.com/journals/precon
The mosaic of CVD risk factors – A study
on 10,000 Pakistani cardiac patients
Azhar Mahmood Kayani a, Nausheen Bakht
a
b
a,*
, Rubab Munir a, Irum Abid
b
Armed Forces Institute of Cardiology & National Institute of Heart Diseases, Rawalpindi, Pakistan
Pakistan Armed Forces Medical Journal (PAFMJ), Army Medical College, Rawalpindi, Pakistan
Received 3 September 2010; received in revised form 26 October 2010; accepted 28 October 2010
KEYWORDS
CVD;
Risk factors;
Pakistanis;
South-Asians
Summary
Objective: To determine the cardiovascular disease risk factor profile of Pakistani patients.
Material and methods: In this cross sectional study, 10,000 patients with CVD were recruited.
This 1 year study was conducted in the outpatient department of Armed Forces Institute of Cardiology/National Institute of Heart Diseases (AFIC-NIHD), which provides primary, secondary
and tertiary cardiac care to patients from all over the country. The CVD risk factors studied
included hypertension, diabetes, dyslipidemia, obesity, smoking, alcohol intake, inactivity,
eating <5 portions of fruits and/or vegetables per day.
Results and discussion: Of the study participants 73.5% were males while 26.5% were females.
Their average age was 53.83 ± 14.18 years and 51.68 ± 15.83 years, respectively. The frequency
of premature CVD was 27.2% in males and 49.1% in females. 46.9% males and 77.4% females had
abdominal obesity, 15.6% men and 1.9% women being current smokers. Blood cholesterol levels
were >200 mg/dl in 10% of all study subjects. In a decreasing order, poor lipid values were seen
for HDL, VLDL, TG, cholesterol, LDL and LDL/HDL. Diabetes and hypertension affected 18.5%
and 8% study subjects, respectively. Mean BMI was 21.02 kg/m2 in men and 22.41 kg/m2 in
women. 64.5% participants did not take five or more servings of fruits and/or vegetables per
day. 66% males and 68% females were physically inactive.
Conclusion: Risk factors in Pakistani patients can be rank ordered as abdominal obesity, eating
<5 portions of fruits and/or vegetables per day, HDL, physical inactivity, diabetes, VLDL, TG,
smoking, cholesterol, hypertension, obesity, LDL, LDL/HDL and alcohol.
ª 2010 World Heart Federation. Published by Elsevier Ltd. All rights reserved.
Introduction
* Corresponding author. Tel.: +92 0321 5304887.
E-mail address: nausheenbakht@gmail.com (N. Bakht).
The term cardiovascular disease (CVD) includes coronary
heart disease (CHD), stroke, heart failure, hypertension,
1875-4570/$ - see front matter ª 2010 World Heart Federation. Published by Elsevier Ltd. All rights reserved.
doi:10.1016/j.cvdpc.2010.10.002
Author's personal copy
2
peripheral arterial diseases, congenital causes and rheumatic heart disease (RHD) [1]. CVD is the leading cause of
morbidity and mortality all over the world [2,3], with the
exception of Sub Saharan Africa [4]. Globally, CVD caused
17.1 million deaths in 2004, as per World Health Organization (WHO) estimates [5]. Eastern Mediterranean Region
(EMR) countries [6], which include Pakistan, are plagued
with the double burden of disease. South-Asia bears an outsized share of the global burden of CVD. Pakistan is among
the worst-hit countries [7].
Multiple factors have been incriminated for CVD aetiology. These risk factors play an important role in a person’s
chances of developing the disease. The common modifiable
risk factors include unhealthy diet, physical inactivity and
tobacco smoke; while others are nonmodifiable, like age,
male gender and heredity. Still others are termed as intermediate risk factors like hypertension, diabetes, abnormal
blood lipids, and overweight/obesity [8]. Psycho-social
stress, socio-economic status (SES), and history of taking
contraceptive pills [9] are other known risk factors. Some
novel risk factors [10] are being increasingly considered
for their contribution to CVD.
The CVD risk factor profile of South-Asians from Pakistan,
India, Nepal, Bangladesh and Sri Lanka etc. is different from
that of other ethnic groups. There are variations within the
different Asian groups themselves and also between the various countries [11]. Publication have extensively elucidated
the phenomenon ‘‘South-Asian paradox’’. South Asians have
a greater susceptibility to CVD due to an increased risk of
atherosclerosis and are affected at a relatively younger
age, despite low risk factor density. Their disease is more severe, extensive and associated with adverse outcomes, as
compared to their European, American, and other Asian
counterparts. Unfortunately, few individuals can be labelled
as having ideal cardiovascular health [11].
We carried out the study with the objective of compiling
a risk factor profile of Pakistani patients suffering from CVD.
Our work on the subject has significance as we have attempted to study CVD in a Pakistani context, which is
important.
Management of CVD imposes a substantial financial burden on health care payers and Pakistan is a developing, resource-constrained country. It is located in South Asia, a
region badly affected by the CVD epidemic and its resultant
high mortality. Moreover, it is an EMR country, a region
grappling with the double burden of disease. Furthermore,
it is one of the most populous countries of the world, a fact
that increases the vulnerabilities manifold.
Material and methods
This cross sectional study was conducted at Armed Forces
Institute of Cardiology/National Institute of Heart Diseases
(AFIC-NIHD), located in Rawalpindi, Pakistan, which provides primary, secondary and tertiary cardiac care not
only to military personnel but also civilian population.
Our military beneficiaries comprise of serving and retired
(army, navy and air force) officers and soldiers and their
entitled family members. Our civilian clientele includes
employees and the entitled family members of Federal
government and panel organizations along with the civil-
A.M. Kayani et al.
ians paid out of the defence budget, civilians paying
out-of-pocket and the poor and needy, whose treatment
charges are borne by Zakat and Bait-ul-maal (social
welfare funds).
The study was carried out from March 2009 to March
2010, after obtaining necessary approval from the institutional review board. The study subjects were a cohort of
self reporting, doctor diagnosed patients with CVD, reporting to the out-patients department of AFIC-NIHD, in the
course of their routine medical check-up. Those who were
>20 years of age and gave their voluntary, informed consent
for participation, were included in the study through consecutive sampling. The exclusion criteria were any acute
cardiac event warranting treatment forthwith, known advanced stage of any form of cancer, liver disease, kidney
failure, psychiatric ailment, dementia, mental retardation
and pregnancy.
The study instrument was a detailed interviewer-administered questionnaire, in which the respondents were asked
to comment on their demographic attributes, family history
and CVD risk profile.
After an overnight fast of 12 h, blood samples were
drawn by trained nursing assistants. A central laboratory
analyzed the specimens for fasting plasma glucose and lipid
profile. The reports were handed over to patients within a
few hours, who subsequently proceeded to the out-patients
department. In the waiting area, all information from patients was gathered by a team of trained, junior medical
officers, who endorsed results of the patients’ laboratory
findings and also assessed their BP, height, weight, WC
and calculated their BMI.
All socio-demographic variables were operationally defined. Educational level was defined as under or above
matriculation depending upon completing/not completing
10 years of formal schooling.
Based on their area of birth, Pakistani nationals were
sub-classified as belonging to Punjab, Sindh, NWFP, Balochistan and Kashmir. Place of residence was further divided
into urban and rural. Urban areas were defined as cities
and towns having a population of >100,000 people.
Income was defined as money received on a monthly
basis from all sources. Income was divided in classes as:
Rs. <10,000, 10,000–25,000 and >25,000.
In the family history, the presence of hypertension, diabetes, obesity and hypercholesterolemia in a parent,
siblings and first degree relatives was questioned.
The definition of smoking only pertained to cigarettes
and was based upon the individuals’ self reporting. Subjects were divided into three categories of current, former
(left smoking 1 year ago) and never smokers. Abnormal lipids were defined as all lipid values, above the normal/reference range or a history of taking lipid lowering drugs.
These reference ranges were: cholesterol < 200 mg/dl, triglyceride (TG) < 200 mg/dl, low density lipoprotein
(LDL) < 150 mg/dl,
very
low
density
lipoprotein
(VLDL) < 38 mg/dl, high density lipoprotein (HDL) < 38 mg/
dl and HDL/LDL ratio <4. Diabetes was defined as a fasting
plasma glucose level P126 mg/dl. Hypertension was defined as systolic blood pressure (BP) P 140 mm Hg and/or
diastolic BP P 90 mm Hg measured 20 min apart, on two
separate occasions. Obesity was defined as body mass index (BMI) P 30.0 kg/m2 and BMI in turn was calculated as
Author's personal copy
The mosaic of CVD risk factors – A study on 10,000 Pakistani cardiac patients
height in kg/m2. Central obesity was defined as waist circumference (WC) in men P 88 cm; and in women P 80 cm
and WC was measured mid way between the last rib and
the iliac crest with an inch-tape. The study subjects were
also asked about their daily consumption of fruits and/or
vegetables. Eating <5 portions per day was considered a
risk factor. Physical inactivity was a dichotomous variable,
which was defined as the lack of physical activity. Physical
activity was defined as doing vigorous exercise for 20 min
or more three or more times per week. It was gauged subjectively by asking the participants about their leisure time
activity. Alcohol users were categorized as current, former
and never users.
All submitted questionnaires having missing data values
for any variable were not included in the study.
Data was analyzed using SPSS version 15. For quantitative
variables, mean and standard deviation (SD) and for qualitative variables, frequencies along with percentage were used
for description of variables. Independent sample’s t-test
was used for comparison of quantitative variables while
chi-square test was used for comparison of qualitative vari-
Table 1
3
ables between different groups. A two-tailed p < 0.05 was
considered statistically significant.
Results
The study spanned a period of 1 year during which a total of
10,000 patients with CVD were recruited. All were Pakistani
nationals. The details of their socio demographic profile are
depicted in (Table 1).
7350 were males and 2650 were females. Average age for
men and women was 53.83 ± 14.18 years and 51.68 ±
15.83 years, respectively. The age group most affected by
CVD, in males was 50–59 years and in females was 60–
69 years. The frequency of premature CVD (onset of CVD before the age of 45 years in men and 55 years in women) was
27.2% in males and 49.1% in females. Risk factors clustered
in the 45–65 years age bracket (Fig. 1).
Among those recruited, 42.2% males and 75.5% females
were under-matriculation. The difference in education level
between genders was highly significant.
Socio demographic profile of patients.
Patient attributes
Male 7350 (73.5%)
Female 2650 (26.5%)
P
Age groups (years)
20–29
30–39
40–49
50–59
60–69
70–79
3
80
300 (4.1%)
900 (12.2%)
1400 (19%)
2150 (29.3%)
1400 (19%)
900 (12.2%)
300 (4.1%)
400 (15.1%)
250 (9.4%)
500 (18.9%)
400 (15.1%)
700 (26.4%)
350 (13.2%)
50 (1.9%)
<0.001
Educational level
Under-matriculation
Above matriculation
3100 (42.2%)
4250 (57.8%)
2000 (75.5%)
650 (24.5%)
<0.001
Marital status
Married
Separated
Unmarried
Widowed
7050 (95.9%)
100 (1.4%)
50 (0.7%)
150 (2%)
1950 (73.6%)
0 (0%)
200 (7.5%)
500 (18.9%)
<0.001
Province of birth
Punjab
NWFP
Sindh
Balochistan
Kashmir
5250 (71.4%)
800 (10.9%)
400 (5.4%)
150 (2%)
750 (10.2%)
2250 (84.9%)
350 (13.2%)
0 (0%)
0 (0%)
50 (1.9%)
<0.001
Area of residence
Rural
Urban
4400 (59.9%)
2950 (40.1%)
1450 (54.7%)
1200 (45.3%)
<0.001
SES (in Pakistani Rs.)
<10,000
10,000–25,000
>25,000
2400 (32.7%)
3100 (42.2%)
1850 (25.2%)
700 (26.4%)
1500 (56.6%)
450 (17%)
<0.001
Author's personal copy
4
A.M. Kayani et al.
12
10
8
HTN
DM
6
Chol
Obesity
4
2
0
20-29
30-39
Figure 1
40-49
50-59
70-79
> 80
Clustering of risk factors in respective age groups.
As regards marital status 95.9% males and 73.6% females were married. The difference between genders
for marital status is also highly significant. As regards area
of residence, 58.5% participants belonged to rural areas.
Highly significant difference were seen between genders
for areas of residence and also between genders for socio-economic status.
The values for all the risk factors studied are summarized
in (Tables 2 and 3). Smoking was found to be a major risk
factor in men. Of the men and women 15.6% and 1.9% were
current smokers, respectively. A significant association was
observed between smoking and gender.
Table 2
60-69
Average cholesterol levels in men and women were found
to be 149.66 and 150.49 mg/dl, respectively. Blood cholesterol levels were in excess of 200 mg/dl in 10% of all study
subjects, the rates being 9.5% in men and 11.3% in women.
In a decreasing order bad lipids were depicted by HDL,
VLDL, TG, Cholesterol, LDL/HDL and LDL.
The frequency of diabetes mellitus was 18.5% in all study
subjects.
Hypertension was detected in 8% of the adult population.
For obesity, BMI was calculated. Mean BMI was found to be
21.02 kg/m2 in men and 22.41 kg/m2 in women. Of all the
study subjects, 5.5% were labelled as obese, 4.1% of men
Risk factor profile of patients.
CVD risk factors
Male
Female
P
Smoking
Current smokers
1150 (15.6%)
50 (1.9%)
<0.001
<0.05
>0.05
>0.05
<0.001
<0.001
<0.05
Cholesterol
Blood lipids > 200 mg/dl
TG > 200 mg/dl
HDL < 38 mg/dl
LDL > 150 mg/dl
VLDL > 38 mg/dl
LDL/HDL ratio > 4
Diabetes
Fasting plasma glucose > 126 mg/dl.
700 (9.5%)
1200 (16.3%)
2400 (32.7%)
250 (3.4%)
1250 (17%)
350 (4.8%)
300
450
900
200
550
100
1350 (18.4%)
500 (18.9%)
>0.05
Hypertension
BP > 140/90
Obesity BMI P 30 kg/m2
500 (6.8%)
300 (4.1%)
300 (11.3%)
250 (9.4%)
<0.001
<0.001
Abdominal obesity
Men P 88 cm
Women P 80 cm
3450 (46.9%)
2050 (77.4%)
<0.001
Eating <5 portions of fruits and or vegetables/day
Physical inactivity at leisure time
Alcohol intake
4650 (63.3%)
5000 (68%)
200 (2.7%)
1800 (67.9%)
1750 (66%)
50 (1.9%)
<0.001
<0.001
<0.05
(11.3%)
(17%)
(34%)
(7.5%)
(20.8%)
(3.8%)
Author's personal copy
The mosaic of CVD risk factors – A study on 10,000 Pakistani cardiac patients
Table 3
5
Description of numeric variables.
Variables
Age
Systolic BP
Diastolic BP
BMI
WC
BSF
Cholesterol
TG
HDL
LDL
VLDL
LDL/HDL
Male (n = 7350)
Female (n = 2650)
P
Mean
SD
Mean
SD
53.83
119.92
76.70
21.02
74.95
109.39
149.66
156.43
43.01
84.48
28.48
2.15
14.13
13.55
9.92
3.68
30.36
47.47
36.16
108.61
17.90
34.75
15.69
1.02
51.68
120.96
76.58
22.40
87.83
111.15
150.49
144.49
41.00
85.28
30.46
2.15
15.88
14.88
10.97
6.48
23.69
52.16
46.60
856.89
9.56
36.20
20.35
0.93
and 9.4% women. For central obesity WC was calculated. On
this basis 55% of the patients were obese.
Participants were asked about their intake of five or
more servings of fruits and/or vegetables per day, to which
64.5% replied in the negative.
Almost the same level of physical activity was observed
in both males and females though males were found to be
slightly more active than females.
Alcohol users were very few among the study subjects
i.e. 2.5%. The frequency in males and females was 2.7%
and 1.9%, respectively.
Discussion
This study was conducted to determine the risk factor profile of Pakistani patients. Our study cohort comprised of
10,000 CVD patients, all Pakistani nationals by birth. All
the four provinces and Kashmir as well as the urban and rural areas of the country were adequately represented.
The mean age of study participants and the frequency of
premature CVD indicate that women are affected earlier.
These statistically significant differences have implications
in terms of healthcare costs. Various studies from Bangladesh, India and Sri lanka [12–14] have confirmed these
findings.
95.9% males and 73.6% females were married. The difference in marital status between the genders was highly significant. As a proxy measure, it showed that women tend
to live longer and hence after spousal death, suffered social
isolation. Others [15] have also confirmed that married individuals are at a reduced risk of CVD morbidity and mortality.
Sederholm et al. [16] have highlighted the gender differential and concluded that women have a higher risk factor
burden than their male counterparts. The largest gender
difference was seen for hypertension and diabetes, with a
50% higher rate in women as compared to men. In our study
the largest gender difference was seen in abdominal obesity
which was 77.4% in females and 46.9% in males.(p < 0.001).
We studied the risk factors hypertension, diabetes, dyslipidemia, abdominal obesity, smoking, alcohol intake, inactivity, eating <5 portions of fruits and/or vegetables per
<0.001
<0.05
>0.05
<0.001
<0.001
>0.05
>0.05
<0.001
<0.001
>0.05
<0.001
>0.05
day. Together they accounted for 92.5% of our CVD burden.
Only for 7.5% patients, no risk factor could be incriminated.
According to Grau et al. [17], hypertension, diabetes, dyslipidemia, obesity and smoking explain 97% of the CVD
burden.
In order of decreasing frequency, risk factors in Pakistani
males were physical inactivity, decreased consumption of
fruits and or vegetables, abdominal obesity, HDL, diabetes,
VLDL, TG, smoking, cholesterol, hypertension, LDL/HDL,
obesity, LDL and alcohol. In Pakistani females they were
abdominal obesity, decreased consumption of fruits and or
vegetables, physical inactivity, HDL, VLDL, diabetes, TG,
hypertension, cholesterol, obesity, LDL, LDL/HDL, smoking
and alcohol.
We found a single risk factor in 25.5% of CVD patients,
two in 31.5%, three in 27.5%, four in 6.5 of the patients.
None of the patients presented with 5, 6, 7 or 8 risk factors. Iqbal [18] has studied the proportions of three risk
factors occurring singly, doubly and all three together
and has discovered the respective frequencies to be
39%, 11% and 1%. Khot [19] found that only 10–15% of patients lacked any of the four conventional risk factors
(smoking, diabetes, hyperlipidemia and hypertension) and
1 of the 4 risk factors was present in 84.6% of women
and 80.6% of men.
Males were found to be more active than females. Similar results have been reported by other researchers [20,21].
Our results are similar to Gupta’s [22] for female smoking
but differ markedly from others [23]. Our study showed a
smoking frequency of 15.6% in men and 1.9% in women
which is similar to Motlagh’s [24] estimates. We differ from
those of a Karachi based study [25] which found the frequency to be 21–33%.
Our study colludes with other studies [21,22] in similarity
of diabetes frequency in men and women.
The estimates for obesity (as per BMI) vary markedly in
various studies. Our noted frequencies of 4.1% in men and
9.4% in women, are strikingly different from those of
Gupta’s [22] figures of 54.5% and 61.3%, respectively. In
Middle East [24] the frequency was 24.5% and women were
found to be affected, more commonly. Jafar’s [21], results
are similar. Nanan [26], has reported the frequency of obes-
Author's personal copy
6
ity as 23% and 40% in 45–64 year old Pakistani men and
women, respectively.
The prevalence of abdominal obesity as per our study
was 46.9% in men and 77.4% in women. Gupta [22] noted
it to be 61.0% and 54.30%; respectively.
For hypertension, our findings are very different from
those of Gupta [22] but somewhat closer in frequency, to
a Middle Eastern [23] estimate of 21.7%. Our results are in
agreement with others [21] with hypertension occurring
more commonly in women.
Generally, women [27] have more dyslipidemia. Higher
levels of HDL-C, are found in Latin America, while lower levels are found in England and China [28]. Our HDL-C findings
are similar to those of some researchers [22].
Our average cholesterol levels in men and women were
149.66 and 150.49 mg/dl, respectively and affected 9.5%
men and 11.3% women. They are markedly different from
Gupta’s findings (32.6% men and 39.5% women).
Higher triglycerides values were found in 16.3% men and
17% women which match some other research results [29]
but differ from Gupta’s [22] (42.9% in men and 43.4% in
women).
Only 36.7% men and 32.1% women consumed fresh fruits
and vegetables. A study from Karachi [30] revealed higher
frequencies.
Limitations of the study
Some limitations of our study should be noted. Although we
are confident that our observations are an accurate representation of Pakistani patients; caution must be exercised
when our conclusions are extrapolated to apply to healthy
Pakistanis or those in other parts of the world. This was a
facility-based study, confined to adult CVD patients and
our data pertained to a single-centre. Among all known risk
factors, we could not account for especially psycho-social
stress; however, we identified and studied the major ones.
Moreover, estimation of variables such as consumption of <5
portions of fruits and/or vegetables per day, physical inactivity, alcohol and smoking was based solely on patients’
self-reports. Recall bias may have distorted some of our results. Data were collected by especially trained medical
officers; still there were missing values in 1.3% of questionnaires. As is true for all cross-sectional studies, the study
design did not provide direct evidence of incidence, outcome and inference of causality or allow assessment of
change. These deficiencies can be best addressed in subsequent, adequately powered studies.
Strengths of the study
The study sample was large, nationally representative and
had no urban bias. This fairly allows for a generalization
of our results. Traditional CVD risk factors namely diabetes,
hypertension, obesity and dyslipidemia were objectively
measured after the initial patients’ accounts. This makes
our findings valid and reproducible for Pakistanis residing
within their native country. All blood specimens were analyzed by a central laboratory. Observer bias was overcome
by imparting extensive training to the data collectors.
A.M. Kayani et al.
Potential implications
This study has potential implications, at multiple levels.
Locally, an in-depth knowledge of the risk factor profile
of our patients will help us improve our functions as an
institute. Evidence-based operation of individual risk factor clinics, cardiac rehabilitation programs, exploration
of newer research avenues, meaningful health promotion
and disease prevention endeavors will translate into effective and efficient health service organization and delivery.
Nationally, a chronic disease policy can be formulated and
adopted. Exercising allocative efficiency will strengthen
the case for CVD preventive interventions, like provision
of enabling environments for physical activity to all, at
the community level as well as in the high risk groups.
Internationally, it will act as a stable research base for
detecting gender and ethnic differences in the prevalence
of CVD.
Acknowledgements
Authors would like to extend a heartiest gratitude to Drs.
Syed Shahid Nafees Zaidi, Saima Zahir, Saba Shaukat, Zilfah
Younis, Fauzia Aslam, Mehwish Ara Shams, Nadia Tayyub,
Amna Naveed, Shazia Malik, Huma Rashid, Raja Adnan Arif
and Samiya Razzaq.
References
[1] Lamonte MJ. Epidemiology of cardiovascular disease. In:
Durstine JL, Moore GE, Lamonte MJ, Franklin BA, editors.
Pollock’s textbook of cardiovascular disease and rehabilitation. USA: Human kinetics; 2008. p. 9–16.
[2] Backer GD. Prevention of cardiovascular disease in asymptomatic people. Heart 2010;96:477–82.
[3] Berger JS, Jordan CO, Lloyd-Jones D, Blumenthal RS. Screening
for cardiovascular risk in asymptomatic patients. J Coll Cardiol
2010;55:1169–77.
[4] Gaziano TA. Reducing the growing burden of cardiovascular
disease in the developing world. Health Affairs
2007;26(1):13–24.
[5] Lock K, Pomerlau J, Causer L, Altman DR, McKee M. The global
burden of disease attributable to low consumption of fruit and
vegetables: implications for the global strategy on diet. Bull
World Health Organ 2005;83(2), 81–100–106.
[6] Mackay J, Mensah G. Atlas of heart disease and stroke. World
Health Organization Geneva; 2004.
[7] Zoughbie DE. Community-based diabetes program: the microclinic project. Eastern Mediterranean health journal
2009;15(4):1021–6.
[8] Michael Gaziano J. Screening for coronary heart disease and its
risk factors. In: Braunwald E, Goldman L, editors. Primary
Cardiology. Philadelphia: Saunders; 2007. p. 261–9.
[9] Preventing chronic diseases: a vital investment. WHO global
report. Geneva World Health Organization; 2006. p. 48.
[10] Enas EA, Chacko V, Pazhoor SG, Chennikkara H, Devarapalli
HP. Dyslipidemia in South-Asian patients. Curr Atheroscler Rep
2007;9(5):367–74.
[11] Donald M et al. Defining and setting national goals for
cardiovascular health promotion and disease reduction. Circulation 2010;121:586–613.
Author's personal copy
The mosaic of CVD risk factors – A study on 10,000 Pakistani cardiac patients
[12] Silbiger JJ et al. Atherosclerotic heart diseases in Bangladeshi
immigrants: risk factors and angiographic findings. Int J Cardiol
2009. doi:10.1016/j.icard.2008.12.175.
[13] Singh RB, Tomlinson B, Thomas GN, Sharma R. Coronary artery
disease and coronary risk factors: The South- Asian paradox. J
Nutr environ Med 2001;11:43–51.
[14] Wijewardene K et al. Prevalence of hypertension, diabetes
and obesity: baseline findings of a population based survey in
four provinces in Sri Lanka. Ceylon Medical Journal
2005;50(2):62–70.
[15] Randall G, Bhattacharyya MR, Stetoe A. Marital Status and
heart rate variability in patients with suspected coronary
artery disease. Ann Behav Med 2009;38(2):115–23.
[16] Sederholm S, Stenestrand U, Lagerqvist B, Wallentin L, Swahn
E. Gender perspective on risk factors, coronary lesions and
long term outcome in young patients with ST-elevation
myocardial infarction. Heart 2010;96:453–9.
[17] Grau M et al. Prevalence of cardiovascular risk factors in men
with stable coronary heart disease in France and Spain. Arch
Cardiovasc Dis 2010;103(2):80–9.
[18] Iqbal SP, Dodani S, Qureshi R. Risk factors and behaviours for
coronary artery disease (CAD) among ambulatory Pakistanis. J
Pak Med Assoc 2004;54(5):261–6.
[19] Khot UN et al. Prevalence of conventional risk factors in patients
with coronary heart disease. JAMA 2003;290(7):898–904.
[20] Arsenault BJ. Beyond low-density lipoprotein cholesterol. J Am
Coll Cardiol 2010;55(1):35–41.
7
[21] Jafar TH, Qadri Z, Chaturvedi N. Coronary artery disease
epidemic in Pakistan: more electrocardiographic evidence of
ischemia in women than in men. Heart 2008;94:408–13.
[22] Gupta R. Trends in prevalence of coronary risk factors in an
urban Indian population: Jaipur Heart Watch-4. Indian Heart J
2007;59(4):346–53.
[23] Mackay J, Eriksen M. The tobacco atlas. WHO; 2002. p. 98.
[24] Motlagh B, O’Donnell M, Yusuf S. Prevalence of cardiovascular
risk factors in the Middle East: a systematic review. Eur J
Cardiovasc Prev Rehabil 2009;16(3):268–80.
[25] Maher R, Devji S. Prevalence of smoking among Karachi
population. Pak Med Assoc 2002;52(6):250–3.
[26] Nanan DJ. The obesity epidemic-implications for Pakistan. J
Pak Med Assoc 2002;52(8):342–6.
[27] Lombard C, Deeks A, Jolley D, Teede HJ. Preventing weight
gain: the baseline weight related behaviors and delivery of a
randomised controlled intervention in community based
women. BMC Public Health 2009;9(1):2.
[28] Natarajan P, Ray KK, Cannon CP. High-density lipoprotein and
coronary heart disease Current and future therapies. J Am Coll
Cardiol 2010;55(13):1283–9.
[29] Opadijo OG, Akande AA, Jimoh AK. Prevalence of coronary
heart disease risk factors in Nigerians with systemic hypertension. Afr J Med Med Sci 2004;33(2):121–5.
[30] Qidwai W, Mangi AR, Bux R. Life style related risk factors for
cardiovascular disease among patients at a teaching hospital in
Karachi. JAMC 2005;17(3):3–6.