Transcript Respondent profile

Saffolalife Study 2013
Disclaimer: *Based on the number of responses received on the Saffolalife Heart Age Finder Test. Saffolalife Study is based on an analysis of
information shared on the site www.saffolalife.com by people and accordingly, Saffolalife makes no representation or warranty of any kind,
express or implied, about the completeness, accuracy, reliability of such information. The communication is intended for consumer awareness and
not a substitute for medical advice.
The Saffolalife Initiative
Saffolalife is an initiative by Saffola which provides health and nutrition aspects
of preventive healthcare and seeks to impart accurate, credible and expert-led
information. From free cholesterol checks across 90 cities in India to helping
individuals find their heart’s age, Saffolalife’s mission is to keep India’s heart
healthy. Every year, the Saffolalife Study, one of the largest analyses offers a
deeper understanding into the reasons behind the ailing heart health of Indians
• Over the last 3 years, free cholesterol checks were provided to many
consumers who took the online heart age test
• A consumer can also calculate his heart age as per his changing habits, BP
level etc.
• Free diagnostic test and medical checkups were made available for
consumers unaware of their own BP, Cholesterol levels
• The consumer could also download a customized diet plan
Cardiovascular disease
impacts other vital organs
Heart Age Algorithm
• The algorithm used for heart age calculation is based on the Framingham
heart study
• Consumers filled an online survey on www.saffolalife.com. The output
received is one’s Heart Age
• The respondents who took this online survey were urban Indians, most of
which had access to internet:
o However for projections, we have assumed that everyone in Urban
India could potentially access the survey
o IRS 2010 Q4 was used for the projections
What is Heart Age?
• Heart Age engages people in their heart health by estimating and expressing
their preventable cardiovascular disease (CVD) risk factors as their Heart Age
– which could be older, younger or the same as their chronological age
• It is a translation of a well-established Framingham risk score
About Framingham Heart Study
• Framingham Heart Study is a project
Institute and University of Boston
of National Heart Lung and Blood
• The objective of the study was to identify the common factors or the
characteristics that contribute to CVD by following its development over a
long period of time in a large group of participants who had not yet developed
overt symptoms of CVD or developed a heart attack or stroke
• The study was initiated in 1948 and has more than 50 years of research
covering more than 3 generations
Why ‘Heart Age’?
• Indians are not generally inclined to check the status of their health on a
regular basis
• We need something which is convenient ,economical and is easily
accessible and which can give them a realistic picture of their Health
condition
• This in turn should trigger the need to get themselves checked regularly or
provide an early warning for them to make positive health and lifestyle
changes
Factors contributing to heart age
• The portal calculates consumer's heart age by
considering following inputs
LIFESTYLE
• Total cholesterol
• HDL or BMI
• BMI used only if
consumer does not
know his cholesterol
• Has diabetes?
• Systolic BP treated?
Whether a Smoker?
HEALTH
DEMOGRAPHY
• Age
• Gender
Other information captured
Some more parameters were considered in the study. An attempt to find
out how they affect each other was made
Freq. of eating fried foods
• Freq. of eating preserved / salted food
• Freq. of eating vegetables
• Freq. of eating fruits
• Freq. of eating whole grains
• Freq. of exercise
• Freq. of feeling drained
•
• Waist size
• History of Heart
ailments for a parent
LIFESTYLE
HEALTH
DEMOGRAPHY
• City
Analysis of the data
•
To understand the trend/ changes we have analyzed the data for the year
2010-11, 2011-12, 2012-13 and the combined data for all the three years
•
Time frame used for each year were:
o
o
o
o
•
For the year 2010-11 : 19th September 2010 to 3rd May 2011
For the year 2011-12 : 4th May 2011 to 31st March 2012
For the year 2012-13 : 1st April 2012 to 19th April 2013
Hence, the time frame for combined data is 19th September 2010 to 19th
April 2013
To analyze the data we have categorized the respondents into 2 categories:
o Respondents whose heart age greater than their actual age
o Respondents whose heart age less than or equal to their actual age
•
Total number of respondents (2010 – 2013)
o 186332 Nos.
Profile of Respondents
The Study was conducted only among respondents belonging to the
Age Group of 30 years or more as in the Framingham Heart Study
only people older than 30 years old can find out the age of their heart
Respondents Profile: Total
2010-2011
2011-2012
2012-2013
All (20102013)
46793
65137
74402
186332
Males
72
65
71
69
Females
28
35
29
31
30 - 34 Years
22
35 - 39 Years
21
17
16
16
40 - 44 Years
15
16
15
15
45 - 49 Years
11
14
13
13
50 - 54 Years
7
10
11
12
55 - 59 Years
6
7
8
8
60 - 64 Years
7
7
6
5
65 - 69 Years
5
5
3
2
70 - 74 Years
3
4
2
1
75 - 100 Years
3
3
1
1
Base
Gender
Split
Age Group
Split
ALL INDIA
82%
18
82%
• More than 50 % of the respondents are in their 30s and 40s
25
88%
27
58%
Respondents Profile: Males
ALL INDIA
Base
Age Group
Split
2010-2011
2011-2012
2012-2013
All (20102013)
33706
42176
53078
128960
80%
17
83%
25
86%
30 - 34 Years
21
18
35 - 39 Years
21
17
15
18
40 - 44 Years
15
18
14
16
45 - 49 Years
11
14
12
12
50 - 54 Years
6
10
11
8
55 - 59 Years
6
7
9
6
60 - 64 Years
8
6
7
7
65 - 69 Years
6
4
4
5
70 - 74 Years
4
4
2
4
75 - 100 Years
3
3
1
3
52%
• The male respondents represent more than 60% of the sample size of which 52% are
in the age group of 30-44 years
Respondents Profile: Females
Base
Age Group
Split
ALL INDIA
2010-2011
2011-2012
2012-2013
All (20102013)
13087
22967
21324
57378
84%
19
81%
24
92%
30 - 34 Years
23
20
35 - 39 Years
20
17
16
18
40 - 44 Years
15
14
17
14
45 - 49 Years
12
13
15
12
50 - 54 Years
8
10
12
9
55 - 59 Years
6
8
8
8
60 - 64 Years
7
7
5
8
65 - 69 Years
3
5
2
5
70 - 74 Years
3
4
1
4
75 - 100 Years
2
3
1
3
52%
• 52% of the female respondents are in their 30s and 40s which is same as that of the
male respondents.
CVD Risk Across India
CVD Risk Across Age Groups: PAN India
More than 70% of Urban Indians at CVD risk
ALL INDIA
100%
90%
27
80%
20
35
36
29
23
15
19
18
9
47
70%
60%
50%
40%
73
30%
80
65
64
71
77
85
81
82
91
53
20%
10%
0%
All
30-34 years
35-39 years
Have CVD Risk
40-44 years
45-49 years
Do not have CVD risk
50-54 years
55-59 years
60-64 years
65-69 years
70-74 years 75-100 years
CVD Risk Across Age Groups: PAN India
Males
73% of males in the age group of 30-34 years are at risk, 76% of males in
35-39 years age group are at risk and 85% of males in the age group 4044 years are at risk
ALL INDIA
100%
90%
21
27
24
15
22
20
16
18
11
8
80%
42
70%
60%
50%
40%
79
73
76
85
78
80
84
82
89
30%
92
58
20%
10%
0%
All
30-34 years
Have CVD Risk
35-39 years
40-44 years
45-49 years
Do not have CVD Risk
50-54 years
55-59 years
60-64 years
65-69 years
70-74 years 75-100 years
CVD Risk Across Age Groups: PAN India
Females
66% of females are at CVD risk. Around 60% of females in their 30s and 40s are
at CVD risk
100%
14
90%
80%
34
26
26
42
11
21
25
37
49
53
70%
60%
50%
86
40%
30%
66
74
74
58
89
79
75
63
51
47
20%
10%
0%
All
30-34 years 35-39 years 40-44 years 45-49 years 50-54 years 55-59 years 60-64 years 65-69 years 70-74 years
Have CVD risk
Do not have CVD risk
75-100
years
Analysis Approach
•
In this section we have looked at only those who have a CVD risk i.e.
heart age greater than biological age
•
We have looked at the occurrence of CVD risk due to a particular
factor as per Framingham Heart Study
•
The cutoff for a particular person to be included is as follows
Factor
Cutoff for being included as a
factor of higher heart age
Unit
Diabetes
Person Having Diabetes
-
Smoking
Person Smoking
-
200 or Higher
mg/dL
HDL
50 or Lower
Mg/dL
BMI
23 or Higher
-
BP
140 or Higher
mmVHg
Cholesterol
Factors Contributing to CVD Risk
Example to aid the reader:
How to read data in this section
• BMI (Obese or Over weight) - Among those who have high heart age, 61% have high BMI level as a contributing factor
(BMI of 23 or higher)
• Cholesterol - Among those who have high heart age, 10% have cholesterol as a contributing factor (due to a cholesterol
level of 200 mg/dl or higher)
• HDL ( Borderline or High Risk) - Among those who have high heart age, 54% have low HDL level as a contributing factor
(due to a low HDL level of 50mg/dl or lower)
• SBP (Mild or High) - Among those who have high heart age, 2% have high Systolic BP as a contributing factor (level of
120/ 130 or higher, depending on whether they are taking medication for BP or not)
• Does Smoke - Among those who have high heart age, 2% have smoking as a contributing factor
• Is Diabetic - Among those who have high heart age, 2% have diabetes as a contributing factor
Contributors to Indians’ CVD Risk
100
87
73
Combined (2010 -2013)
50
32
21
15
18
Does smoke
Is diabetic
6
0
BMI (Obese or
Overweight)
Cholesterol Level HDL (Borderline
(Borderline or
or High Risk)
High Risk)
SBP (Mild or
High)
Takes Medication
for BP
• High BMI (73%) and Low HDL (87%) has contributed to the CVD risk in Indians as per Framingham
Heart Study
• The study points towards the high role of Low HDL along with LDL, which is an under emphasized risk
factor in India
• Of those with the risk of CVD, 18% people are diagnosed with diabetes
Note: This study does not include those who may have been undiagnosed, but have diabetes
Incidence of risk factors across age
Groups: PAN India
100%
80%
2
4
5
1
4
5
8
8
8
9
4
8
8
10
10
1
2
3
5
18
12
10
11
15
46%
11
13
46%
18
17
50%
20%
16
12
11
64%
12
33%
14
15
16
0%
BMI
Cholsetrol
14
HDL
10
SBP
50 - 54 years
45 - 49 years
40 - 44 years
21
14
26%
35 - 39 years
30 - 34 years
12
27
9
6
Medication for BP
60 - 64 years
55 - 59 years
14
12
70 - 74 years
65 - 69 years
13
27%
9
12
75 - 100 years
13
13
11
15
9
11
12
17
8
6
12
40%
4
9
9
13
4
6
8
10
60%
3
5
5
Smoke
Diabetes
All figs in %
• Among the people who smoke 64% belong to the age group of 30-44 years
• Besides Smoking, BMI, Cholesterol and HDL are the main contributors of CVD risk in the
age group of 30-44 years
Factors contributing to Men and
Women’s CVD Risk
100
86
Men with high heart age
(2010 - 2013)
73
50
33
23
22
18
6
0
•
BMI (Obese or Cholesterol
HDL
SBP (Mild or
Takes
Does smoke
Is diabetic
Overweight)
Level
(Borderline or
High)
Medication for
BMI and poor (Borderline
management
HDL are commonBP
reasons for both males and
or Highof
Risk)
High Risk)
having CVD risk
• Smoking can be one of the factors which put men at a heightened risk
100
89
72
Women with high heart
age (2010 - 2013)
50
31
19
18
7
4
0
BMI (Obese or
Overweight)
Cholesterol
HDL
SBP (Mild or
Takes
Does smoke
Level
(Borderline or
High)
Medication for
with
heartor age
greater
than actual age,
(Borderline
High
Risk)
BP a higher
High Risk)
• For females
proportion have high risk HDL levels
Is diabetic
females
Incidence of risk factors across
age Groups: All India
100%
1
2
4
4
6
2
3
3
5
6
80%
60%
61%
16
7
2
2
3
4
6
2
4
5
4
4
8
7
8
8
10
10
7
8
8
11
2
4
5
8
9
11
63%
16
12
8
53%
8
75 - 100 years
8
70 - 74 years
65 - 69 years
57% 12
51%
17
18
6
4
9
13
12
53%
17
17
13
17
16
18
16
17
18
19
17
45 - 49 years
35 - 39 years
30 - 34 years
20%
30
19
0%
50 - 54 years
40 - 44 years
17
27
60 - 64 years
55 - 59 years
51%
18
40%
2
21
Preserved / Processed Fried / fat rich foods per Vegetables / Salads per Type of fruits per day
foods per week (More
week (More than 4
day (0 to 1)
(None)
than 4 times)
times)
18
Type of whole grains Frequency of physical Times in the last seven
per day (0 to 2)
activities per week (0 to days have felt drained
3)
(More than 4 times)
All figs in %
• Among the people who consume processed foods 61% belong to the 30-44 age group while, among
people who consume fried foods 63% belong to the 30-44 age group
2010-13: CVD Risk basis Heart
Age v/s Ideal Age (All)
• The overall average heart age for all the age groups is more than the
actual ages (red line), as indicated below:
Maximum age gap for
the age group 55-59
years (almost 11 years)
Ideal heart age
Actual heart age
67.72
70.72
74.45
60.66
48.67
35.17
32
53.4
40.33
37
42
47
52
57
62
67
77.55
72
A noticeable peak in the age
gap as early as: 40-44 years
30-34 years 35-39 years 40-44 years 45-49 years 50-54 years 55-59 years 60-64 years 65-69 years 70-74 years
• For each age bracket, the mean age is taken as the ideal age
Key Points
Contributors to possibility of CVD Risk amongst Young Population
• High cholesterol levels together with high BMIs and high blood pressure means
that India’s productive workforce is in serious trouble (Age group: 30-44 years)
• Among the people who smoke 64% belong to the age group of 30-44 years
• High percentage of females with CVD risk have high-risk HDL levels
• Smoking and BMI (overweight & obese) in males seem to be the key factors
contributing to CVD risk
• Lifestyle factors have also contributed to increase in CVD risk that includes
increase in consumption of fried and processed foods. Among the people who
consume processed foods 61% belong to the 30-44 age group while, among
people who consume fried foods 63% belong to the 30-44 age group
• As observed, nearly on all parameters that count as risk factors for CVD, the
younger age group is sharing the same levels of CVD risk as the older age
group
• There is high level of negligence in the younger age group (30-40 years) which
is a matter of concern
Key Points
High Difference in Heart Age v/s Actual Age amongst Young
Population
• The difference in heart age and the actual age starts right from the 30s with a
noticeable peak in the 40s
India’s most Productive workforce feeling drained more than 4 times
in a week: At high-risk of CVD
• Among the people who felt drained more than 4 times in a week 51% belong to
the age group of 30-44 years
• The younger population (30-44 years) felt drained off more frequently than their
older counterparts which is again an indicator of CVD risk
HDL: 2010 - 2013
80
80
MALE
70
70
60
60
FEMALE
66
50
50
50
40
36
30
40
30
23
20
20
14
11
10
10
0
0
50-65:
Desirable
36-49:
25-35:
Borderline High risk
50-65:
Desirable
36-49:
25-35:
Borderline High risk
• Among the people with CVD risks, 66% of women showed a higher risk of CVD due to
the presence of low HDL levels as compared to 50% men
Physical Activity: 2010 - 2013
80
80
MALE
73
FEMALE
70
70
63
60
60
50
50
40
40
30
30
26
19
20
20
11
10
10
7
0
0
0-3
4-6
7 or more
0-3
4-6
7 or more
• Among the people with CVD risks, 73% of the women exercise 3 times a week as
compared to 63% males
2010-13: Heart Age v/s Ideal Age
80
70
An alarming peak is
observed post 35
60
Maximum age gap for the
age group 55-59 years
(almost 11 years)
50
40
30
30 - 34
years
35 - 39
years
40 - 44
45 - 49
50 - 54
years
years
years
Males
Females
55 - 59
years
Overall
60 - 64
65 - 69
years
years
Ideal
• Females follow the same pattern as that of males when the actual heart age is
compared to the ideal age
• For each age bracket, the mean age is taken as the ideal age
70 - 74
years
Key Points
Women’s heart at CVD Risk:
• Among the people with CVD risks, 66% of women showed a higher
risk of CVD due to the presence of low HDL levels as compared to
50% men
• Among the people with CVD risks, 73% of the women exercise 3
times a week or less as compared to 63% males
• The heart age of females and males follow the same pattern when
compared to the ideal age
• An alarming peak is observed post 35 in females having heart age
greater than actual age
City wise Distribution Of Risk
Factors 2010 – 2013
Total no. of respondents in the Cities
highlighted in the following Slides are as
follows:
Mumbai:
Delhi:
Bangalore:
Chandigarh:
Ahmedabad:
Chennai:
Kolkata:
29,017
23,313
19,897
4,254
5,165
11,610
6,278
• Ahmedabad, Kolkata and Hyderabad lead the
country in terms of CVD risk
2010-13: CVD Risk
Have CVD Risk
Do not have CVD Risk
100
27
27
27
26
28
27
27
29
26
26
28
28
73
73
73
74
72
73
73
71
74
74
72
72
50
0
• Chandigarh and Delhi have the highest number of
obese people
2010 -13: BMI
Obese>25
Normal 18.5-22.9
100
Overweight 23-24.9
Underweight < 18.5
3
2
3
2
2
2
2
2
2
3
2
2
28
25
29
28
25
22
25
22
23
27
27
26
23
21
20
24
23
21
22
23
23
23
48
49
48
49
49
47
48
49
23
22
50
0
54
51
54
52
• Delhi & NCR and Chandigarh lead in terms of high
risk cholesterol
2010-13: Cholesterol
High risk 241-400
Borderline High 201-240
Desirable 150-200
100
90
80
70
82
80
82
81
79
80
81
78
10
14
15
13
15
16
15
15
16
0
5
5
5
5
5
6
4
6
60
84
84
79
79
12
12
16
16
4
4
5
5
50
40
30
20
• Ahmedabad, Mumbai and Hyderabad are the
leading cities having high-risk HDL
2010-13: HDL
High risk 25-35
Borderline High 36-49
Desirable 50-65
100
20
22
20
17
29
31
29
29
48
52
22
24
30
34
48
43
19
34
25
17
32
32
23
30
21
29
23
30
50
51
0
54
47
43
51
47
51
46
• Kolkata has maximum proportion of cases of Mild/
High SBP
2010-13:SBP
High 160-200
Mild 140-160
Normal 85-140
100
50
95
95
95
95
95
94
95
95
96
93
96
95
0
4
4
4
4
4
5
4
4
4
6
4
4
• More proportion of people in Kolkata take
medication for BP followed by Chandigarh
Yes
2010-13:
Medication for BP
No
100
75
74
75
74
76
72
74
74
74
68
25
26
25
26
24
28
26
26
26
32
77
75
23
25
50
0
• Kolkata has maximum proportion of smokers in the
country followed by Delhi & NCR
2010-13: Smoke
Yes
No
100
50
89
87
11
13
89
91
88
89
90
87
88
81
89
88
11
12
19
0
11
9
12
11
10
13
12
• Chennai is the country’s diabetes capital followed
by Hyderabad
• Mumbai has among the least proportion of
diabetics compared to other metros
Yes
2010-13: Whether
Diabetic
No
100
90
80
70
60
86
86
86
86
85
88
82
87
83
85
88
88
14
14
14
14
15
12
18
13
17
15
12
12
50
40
30
20
10
0
• Delhi & NCR has the highest intake of
preserved/ processed foods per week
followed by Mumbai and Chandigarh
Less than once a week
100
11
12
10
9
29
30
28
27
61
59
61
64
2010-13: Frequency of
eating preserved /
processed foods per week
2-3 times a week
4 times or more a week
11
12
11
13
32
29
29
32
57
59
59
55
10
11
28
25
62
64
12
32
9
31
50
0
56
60
• Again Delhi & NCR leads on highest intake of
fried/ fat rich foods per week with Chandigarh
and Mumbai chasing the charts
2010-13: Frequency of
eating fried / fat rich
foods per week
100
Less than once a week
2-3 times a week
10
27
11
10
9
8
30
26
27
28
59
64
13
8
4 times or more a week
14
12
11
28
31
60
57
24
23
32
7
35
9
29
50
63
0
63
64
69
55
69
52
62
• Intake of vegetables/ salads is least in Ahmedabad,
followed by Hyderabad and Chennai
2010-13: No. of servings of
vegetables / salads in a day
100
6
6
6
5
41
44
40
37
54
50
55
58
0-1
2-4
6
5
45
49
49
46
5 or more
6
40
6
47
5
39
6
5
5
45
45
47
49
50
48
50
0
54
47
56
• Intake of fruits is least in Ahmedabad, followed by
Hyderabad and Kolkata
2010-13: Types of
fruits eaten in a day
0
100
6
57
6
6
60
55
34
39
4
6
1-2
3-4
8
5
8
63
64
32
29
49
65
66
5
6
5
5
57
57
61
59
38
37
33
36
50
38
0
47
29
26
• Chennai and Ahmedabad consume the least
amount of whole-grains
2010-13: Types of whole
grains eaten in a day
100
0-2
3-5
5
4
4
4
3
4
23
24
23
20
26
73
72
74
77
6 or more
3
19
30
4
28
3
4
4
3
21
22
25
27
76
74
71
70
50
0
71
78
65
68
• Ahmedabad lags behind in physical activity
• Bangalore and Pune seem to be most physically
active compared to other metros
2010-13: Frequency
of doing physical
activity in a week
0-3
100
10
10
9
9
23
25
22
21
67
64
68
70
4-6
7 or more
11
12
10
11
28
27
25
26
61
62
65
63
8
11
10
11
24
24
26
30
66
64
59
50
0
68
• Kolkata people feel drained out more frequently
in a week
• People in Ahmedabad feel least tired compared to
other metros
2010-13: Times in the
last 7 days have felt
drained
0 1-3 4-7
100
7
32
9
38
7
7
6
31
33
37
10
37
7
38
10
40
7
35
11
10
8
37
41
41
52
49
51
50
61
0
53
62
60
57
53
56
50
58
Key Points: Citywise
MUMBAI
• Mumbai is one of the leading cities having high risk HDL
• Intake of fruits is least in Mumbai
• Mumbai has the least number of diabetics compared to other metros
DELHI & NCR
• Delhi & NCR leads in terms of high risk cholesterol
• Delhi & NCR has one of the highest proportion of obese people
• Delhi & NCR has the highest intake of preserved/ processed foods per week
• Again Delhi & NCR leads in highest intake of fried/ fat rich foods per week
BANGALORE
• Bangalore is one of the most physically active city as compared to other metros
CHENNAI
• Chennai is the country’s diabetes capital as it has the highest proportion of people
with Diabetes
• Chennai is one of the cities which consumes the least amount of whole-grains
KOLKATA
• Kolkata is one of the leading cities in terms of CVD risk
• Kolkata is the smoking capital of the country
• Kolkata people feel drained out more frequently in a week
• Kolkata has maximum proportion of cases of Mild/ High SBP
• More proportion of people in Kolkata take medication for BP
AHMEDABAD
• Ahmedabad is one of the leading cities in terms of CVD risk
• Ahmedabad is one of the leading cities having higher levels of high risk
cholesterol
• Intake of vegetables/ salads is least in Ahmedabad
• Intake of fruits is least in Ahmedabad
• Ahmedabad consume one the least amount of whole-grains
• Ahmedabad lags behind in physical activity
• People in Ahmedabad feel least tired compared to other metros
CHANDIGARH
• Chandigarh is one of the cities with the highest no. of obese people
• Chandigarh is one of the cities which leads in terms of high risk cholesterol
Summary
• Heart breaking reality: Saffolalife study 2013 reveals how Indians
have not learned from their bad lifestyle and diet mistakes in the
last 3 years.
o Among the people who felt drained more than 4 times in a week 51% belong to the
age group of 30-44 years
o High cholesterol levels together with high BMIs and high blood pressure means
that India’s productive workforce is in serious trouble (Age group: 30-44 yrs)
o Among the people who smoke 64% belong to the age group of 30-44 years
o High percentage of females with CVD risk have high-risk HDL levels
o Smoking and BMI (overweight & obese) in males seem to be the key factors
contributing to CVD risk
o Lifestyle factors have also contributed to increase in CVD risk that includes
increase in consumption of fried and processed foods. Among the people who
consume processed foods 61% belong to the 30-44 age group. Among people who
consume fried foods 63% belong to the 30-44 age group
o There is high level of negligence in the younger age group (30-40 years) which is a
matter of concern
Summary
• India’s Heart ages early:
o 30-39 year olds at a greater risk for heart disease – Younger group recorded heart
age greater than actual age
o The difference in heart age and the actual age starts right from the 30s with a
noticeable peak in the 40s
o 73% of males in the age group of 30-34 years are at risk and 76% of males in 3539 years age group are at risk and 85% of males in the age group 40-44 years are
at risk
o
66% of females are at CVD risk. Around 60% of females in their 30’s and 40’s are
at CVD risk
Summary
• India’s productive workforce feels drained more than four times
a week – Young Corporate India in serious trouble
o Among the people who felt drained more than 4 times in a week 51% belong to
the age group of 30-44 years
o The younger population (30-44 years) felt drained off more frequently than their
older counterparts which is again an indicator of CVD risk
o The difference in heart age and the actual age starts right from the 30s with a
noticeable peak in the 40s
o Lifestyle factors have also contributed to increase in CVD risk that includes
increase in consumption of fried and processed foods. Among the people who
consume processed foods 61% belong to the 30-44 age group while. Among
people who consume fried foods 63% belong to the 30-44 age group
o Among the people who smoke 64% belong to the age group of 30-44 years
o Besides Smoking, BMI, Cholesterol and HDL are the main contributors of CVD
risk in the age group of 30-44 years
Summary
• Your woman’s heart needs your attention: Women’s heart at CVD
Risk
o Among the people with CVD risks, 66% of women showed a higher risk
of CVD due to the presence of low HDL levels as compared to 50%
men
o Among the people with CVD risks, 73% of the women exercise 3 times
a week or less as compared to 63% males
o The heart age of females and males follow the same pattern when
compared to the ideal age
o An alarming peak is observed post 35 in females having heart age
greater than actual age
Saffolalife Study 2013
Disclaimer: *Based on the number of responses received on the Saffolalife Heart Age Finder Test. Saffolalife Study is based on an analysis of
information shared on the site www.saffolalife.com by people and accordingly, Saffolalife makes no representation or warranty of any kind,
express or implied, about the completeness, accuracy, reliability of such information. The communication is intended for consumer awareness and
not a substitute for medical advice.