Saffolalife Study 2013

Transcription

1 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 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.

2 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

3 Cardiovascular disease impacts other vital organs

4 Heart Age Algorithm The algorithm used for heart age calculation is based on the Framingham heart study Consumers filled an online survey on 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 Q was used for the projections

5 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 19 and has more than 0 years of research covering more than 3 generations

6 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

7 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

8 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

9 Analysis of the data To understand the trend/ changes we have analyzed the data for the year 2010-, 20-, and the combined data for all the three years Time frame used for each year were: o For the year : 19th September 2010 to 3rd May 20 o For the year 20- : th May 20 to 31st March 20 o For the year : 1st April 20 to 19th April 2013 o 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 ( ) o 1332 Nos.

10 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

11 Respondents Profile: Total All ( ) Males Females Years Years Years Years Years Years Years Years Years Years Base Gender Split Age Group Split ALL INDIA 2% 1 2% More than 0 % of the respondents are in their 30s and 0s 2 % 27 %

12 Respondents Profile: Males Base Age Group Split ALL INDIA All ( ) % 17 3% 2 % 30-3 Years Years Years Years Years 10-9 Years Years Years 70-7 Years Years % The male respondents represent more than 0% of the sample size of which 2% are in the age group of 30- years

13 Respondents Profile: Females Base Age Group Split ALL INDIA All ( ) % 19 1% 2 92% 30-3 Years Years Years Years Years Years 0 - Years Years Years Years % 2% of the female respondents are in their 30s and 0s which is same as that of the male respondents.

14 CVD Risk Across India

15 CVD Risk Across Age Groups: PAN India More than 70% of Urban Indians at CVD risk ALL INDIA 100% 90% 27 0% % 0% 0% 0% 73 30% % 10% 0% All 30-3 years 3-39 years Have CVD Risk 0- years -9 years Do not have CVD risk 0- years -9 years 0- years -9 years 70-7 years years

16 CVD Risk Across Age Groups: PAN India Males 73% of males in the age group of 30-3 years are at risk, 7% of males in 3-39 years age group are at risk and % of males in the age group 0- years are at risk ALL INDIA 100% 90% % 2 70% 0% 0% 0% % 92 20% 10% 0% All 30-3 years Have CVD Risk 3-39 years 0- years -9 years Do not have CVD Risk 0- years -9 years 0- years -9 years 70-7 years years

17 CVD Risk Across Age Groups: PAN India Females % of females are at CVD risk. Around 0% of females in their 30s and 0s are at CVD risk 100% 90% 0% % 0% 0% 0% 30% % 10% 0% All 30-3 years 3-39 years 0- years -9 years 0- years -9 years 0- years -9 years 70-7 years Have CVD risk Do not have CVD risk years

18 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 or Higher mg/dl HDL 0 or Lower Mg/dL BMI 23 or Higher - BP 10 or Higher mmvhg Cholesterol

19 Factors Contributing to CVD Risk

20 Example to aid the reader: How to read data in this section BMI (Obese or Over weight) - Among those who have high heart age, 1% 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, % have low HDL level as a contributing factor (due to a low HDL level of 0mg/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 0/ 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

21 Contributors to Indians CVD Risk Combined ( ) BMI (Obese or Overweight) Cholesterol Level HDL (Borderline (Borderline or or High Risk) High Risk) SBP (Mild or High) Takes Medication for BP 1 1 Does smoke Is diabetic High BMI (73%) and Low HDL (7%) 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, 1% people are diagnosed with diabetes Note: This study does not include those who may have been undiagnosed, but have diabetes

22 Incidence of risk factors across age Groups: PAN India 100% 0% % 0% 9 20% BMI 1 Cholsetrol HDL years % 33% % 9 10 SBP - 9 years 3-39 years 30-3 years 27 9 Medication for BP 0 - years 0 - years years - 9 years 1 27% 70-7 years - 9 years % % % 1 1 % Smoke Diabetes All figs in % Among the people who smoke % belong to the age group of 30- years Besides Smoking, BMI, Cholesterol and HDL are the main contributors of CVD risk in the age group of 30- years

23 Factors contributing to Men and Women s CVD Risk Men with high heart age ( ) BMI (Obese or Cholesterol HDL SBP (Mild or Takes Does smoke Overweight) Level (Borderline or High) Medication for (Borderline or High Risk) BP High Risk) 1 Is diabetic BMI and poor management of HDL are common reasons for both males and females having CVD risk Smoking can be one of the factors which put men at a heightened risk BMI (Obese or Overweight) 31 7 Women with high heart age ( ) Cholesterol HDL SBP (Mild or Takes Does smoke (Borderline or Medication for Level High) (Borderline or High Risk) BP High Risk) For females with heart age greater than actual age, a higher proportion have high risk HDL levels 1 Is diabetic

24 Incidence of risk factors across age Groups: All India 100% 0% 1% % % 1 3% 17 0% years 70-7 years - 9 years 7% 1% % 13-9 years 1% years years 30-3 years % 0 - years 0 - years 1 20% years 21 1 Preserved / Processed Fried / fat rich foods per Vegetables / Salads per Type of fruits per day Type of whole grains per Frequency of physical Times in the last seven foods per week (More week (More than activities per week (0 to days have felt drained day (0 to 1) (None) day (0 to 2) than times) times) 3) (More than times) All figs in % Among the people who consume processed foods 1% belong to the 30- age group while, among people who consume fried foods 3% belong to the 30- age group

25 Times in the last seven days have felt drained: Across age groups 0 times a week 1-3 times a week -7 times a week 30-3 years years years years years years years 2-9 years years years 2 TOTAL Nearly 9% respondents in the age group of 30- felt drained more than four times in a week

26 : 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 -9 years (almost years) Ideal heart age Actual heart age A noticeable peak in the age gap as early as: 0- years 30-3 years 3-39 years 0- years -9 years 0- years -9 years 0- years -9 years 70-7 years For each age bracket, the mean age is taken as the ideal age

27 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- years) Among the people who smoke % belong to the age group of 30- 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 1% belong to the 30- age group while, among people who consume fried foods 3% belong to the 30- 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 (30-0 years) which is a matter of concern

28 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 0s India s most Productive workforce feeling drained more than times in a week: At high-risk of CVD Among the people who felt drained more than times in a week 1% belong to the age group of 30- years The younger population (30- years) felt drained off more frequently than their older counterparts which is again an indicator of CVD risk

29 HDL: MALE FEMALE : Desirable 3-9: Borderline 2-3: High risk 0-: Desirable 3-9: Borderline 2-3: High risk Among the people with CVD risks, % of women showed a higher risk of CVD due to the presence of low HDL levels as compared to 0% men

30 Physical Activity: MALE 73 FEMALE or more or more Among the people with CVD risks, 73% of the women exercise 3 times a week as compared to 3% males

31 : Heart Age v/s Ideal Age 0 70 An alarming peak is observed post 3 0 Maximum age gap for the age group -9 years (almost years) years 3-39 years 0 - years Males - 9 years 0 - years Females - 9 years Overall 0 - years - 9 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 70-7 years

32 Key Points Women s heart at CVD Risk: Among the people with CVD risks, % of women showed a higher risk of CVD due to the presence of low HDL levels as compared to 0% men Among the people with CVD risks, 73% of the women exercise 3 times a week or less as compared to 3% males The heart age of females and males follow the same pattern when compared to the ideal age An alarming peak is observed post 3 in females having heart age greater than actual age

33 City wise Distribution Of Risk Factors

34 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 19,97,2,1,10,27

35 Ahmedabad, Kolkata and Hyderabad lead the country in terms of CVD risk : CVD Risk Have CVD Risk Do not have CVD Risk

36 Chandigarh and Delhi have the highest number of obese people : BMI Obese>2 Normal Overweight Underweight <

37 Delhi & NCR and Chandigarh lead in terms of high risk cholesterol : Cholesterol High risk Borderline High Desirable

38 Ahmedabad, Mumbai and Hyderabad are the leading cities having high-risk HDL : HDL High risk 2-3 Borderline High 3-9 Desirable

39 Kolkata has maximum proportion of cases of Mild/ High SBP :SBP High Mild Normal

40 More proportion of people in Kolkata take medication for BP followed by Chandigarh Yes : Medication for BP No

41 Kolkata has maximum proportion of smokers in the country followed by Delhi & NCR : Smoke Yes No

42 Chennai is the country s diabetes capital followed by Hyderabad Mumbai has among the least proportion of diabetics compared to other metros Yes : Whether Diabetic No

43 Delhi & NCR has the highest intake of preserved/ processed foods per week followed by Mumbai and Chandigarh Less than once a week : Frequency of eating preserved / processed foods per week 2-3 times a week times or more a week

44 Again Delhi & NCR leads on highest intake of fried/ fat rich foods per week with Chandigarh and Mumbai chasing the charts 100 Less than once a week 2-3 times a week times or more a week : Frequency of eating fried / fat rich foods per week

45 Intake of vegetables/ salads is least in Ahmedabad, followed by Hyderabad and Chennai : No. of servings of vegetables / salads in a day or more

46 Intake of fruits is least in Ahmedabad, followed by Hyderabad and Kolkata : Types of fruits eaten in a day

47 Chennai and Ahmedabad consume the least amount of whole-grains : Types of whole grains eaten in a day or more

48 Ahmedabad lags behind in physical activity Bangalore and Pune seem to be most physically active compared to other metros : Frequency of doing physical activity in a week or more

49 Kolkata people feel drained out more frequently in a week People in Ahmedabad feel least tired compared to other metros : Times in the last 7 days have felt drained

50 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

51 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

52 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

53 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 times in a week 1% belong to the age group of 30- 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- yrs) o Among the people who smoke % belong to the age group of 30- 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 1% belong to the 30- age group. Among people who consume fried foods 3% belong to the 30- age group o There is high level of negligence in the younger age group (30-0 years) which is a matter of concern

54 Summary India s Heart ages early: o 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 0s o 73% of males in the age group of 30-3 years are at risk and 7% of males in 3-39 years age group are at risk and % of males in the age group 0- years are at risk o % of females are at CVD risk. Around 0% of females in their 30 s and 0 s are at CVD risk

55 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 times in a week 1% belong to the age group of 30- years o The younger population (30- 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 0s 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 1% belong to the 30- age group while. Among people who consume fried foods 3% belong to the 30- age group o Among the people who smoke % belong to the age group of 30- years o Besides Smoking, BMI, Cholesterol and HDL are the main contributors of CVD risk in the age group of 30- years

56 Summary Your woman s heart needs your attention: Women s heart at CVD Risk o Among the people with CVD risks, % of women showed a higher risk of CVD due to the presence of low HDL levels as compared to 0% men o Among the people with CVD risks, 73% of the women exercise 3 times a week or less as compared to 3% 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 3 in females having heart age greater than actual age

57 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 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.