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International Multispecialty Journal of Health (IMJH) [Vol-1, Issue-9, Nov.- 2015]
17
Heart Diseases and its associated factors in Geriatric Population
residing in a Metropolitian City
Dr. Dharmesh Kumar Sharma1
, Dr. Yashvi Gehlot2
, Dr. Rajeev Yadav 3
, Dr. Suresh
Kewalramani4
and Dr. B.N. Sharma5
1,3,4
Assistant Professor, Department of Community Medicine, SMS Medical College, Jaipur (Rajasthan) India
2
Junior Resident, Eternal Heart Care Centre (EHCC), Jaipur (Rajasthan) India
5
Professor and Head, Department of Community Medicine, MG Medical College, Jaipur (Rajasthan) India
Abstract: Geriatric population is increasing as life expectancy is increasing. This population is
susceptible for many health problems which have a significant impact on their quality of life. So this
cross-sectional study was carried out from September 2009 to August 2010 on 1620 elderly residing in
Municipal corporation area of Jaipur city with the aim to study the heart diseases and its associated
factors in geriatric population. Mean age of elderly was 66.08 years with slight female predominance
i.e. 1048 females for 1000 males in Jaipur city. Only 285 (17.59%) elderly who were not having and
type of morbidity otherwise a sizable count i.e. 573 (35.36%) were having even 4 or more type of co
morbidity. Out of total 1620 elderly 544 (33.58%) were having Hypertension and 88 (5.43%) of elderly
were having other heart diseases. It was found that all other heart diseases were having hypertension.
Obesity was maximal co-morbidly with heart disease followed by Diabetes. Heart diseases were found
significantly more in males. Likewise it was also observed that elderly who were doing exercise were
having significantly less heart diseases. Hypertension was observed significantly more in elderly who
were smoking followed by elderly who were taking alcohol and chewing tobacco. But proportion of
heart diseases (other than hypertension) found significantly more in elderly who were taking alcohol
than who were smoking.
Key words- Heart Diseases, Hypertension, Elderly, Geriatric, Metropolitan City.
I. INTRODUCTION
Cardiovascular diseases (CVDs) are the diseases that involve heart and blood vessels. Cardiovascular
diseases includes coronary artery diseases (CADs) like angina and myocardial infarction (commonly
called as heart attack).1
Other CVDs are Hypertension, stroke, cardiomyopathies, endocarditis, anurism,
atrial fibrilation, venous thrombosis, peripheral artery diseases etc.1,2
Cardiovascular diseases are major
killer disease Globally. Most CVDs occurs in geriatric population, data shows that 11% CVDs occurs
in 20-40 years , 37% in 40-60 years and 71% occurs in >60 years of age.3
And best part of it is that 90%
of these are preventable.4
There is worldwide trend of increasing geriatric population (> 60 years) which is elicit with the fact that
8.6% of 1980 has increased to 10.8% of total world population in 2010.4
This “demographic time bomb”
is nearing explosion in developed nations. Asia, including India, is not far behind.5
Population projection indicates that India will have 198 million 60 plus person in 2030 and 326 million
in 2050 when it would be 21% of total population of the country making it the country with the largest
elderly population in the world (SRS 2003).6
The percentage of persons above 60 years of age in India
was 7.3% having 6.9% in urban and 7.5% in rural areas. In Rajasthan, this population constitute 6.5%
(N.H.P.2008). 7
International Multispecialty Journal of Health (IMJH) [Vol-1, Issue-9, Nov.- 2015]
18
Many health problems are known to increase with age and this demographic trend is believed is lead to
an increase in the absolute number of health condition in the population as reflected by the growing
body of evidence that older people are at risk for multiple, co-morbid conditions.
Various studies have shown that perceived health declines with age and the effect of ill health impacts
on many areas of daily activities.
As people become older the functioning and adaptability of the tissues and different organs decline.
Geriatric populations suffer both from communicable and non-communicable diseases but due to
changing patterns of socioeconomic factors and urbanization, non-communicable diseases are on
increase. Elderly people suffer from the dual impact of different chronic diseases and disability resulting
from these diseases.
Many health problems are known to increase with age and this demographic trend is believed is lead to
an increase in the absolute number of health condition in the population as reflected by that older people
are at risk for multiple, co-morbid conditions.7
Survey conducted by NSSO 1984-85 to 1995-96
detected that 50% of elderly Indians had one or more morbidity while up to 40% of them had one or
more functional disability.8
Higher morbidity among elderly calls for strengthening of geriatric health care services. Old age persons
need special health care different from general population. It is necessary to know the health status and
prevailed morbidity pattern in this group. By knowing the prevalent preference of type of medicine
system with also help in better framing comprehensive policies to make ageing a comfortable
experience. So this study was conducted to assess the health status and morbidity pattern in geriatric
population of a metropolitan city.
II. METHODOLOGY
A cross-sectional study was After taking approval from Institutional Ethics committee, this community
based cross sectional survey was conducted on elderly aged 60 years and above living in Municipal
Corporation area of Jaipur city, Rajasthan , from September 2009 to August 2010.
Sample size was calculated 643 subjects at 95% confidence limit and absolute sampling error of 2%
assuming 6.9% proportion of elderly (as per SRS 2008). As sampling technique used as 30 cluster so
calculated sample size was multiplied by 2.9
So sample size came out to 1286, which was again inflated
20% for contingency addition and came out to 1544. So, for the study purpose 1620 elderly was taken to
have 54 elderly from each of 30 cluster.
To start with survey, list of all wards with their respective population was obtained from Municipal
Corporation. Then 30 clusters had selected from all the wards of Municipal Corporation as per 30
cluster technique. After selecting the 30 clusters, in the second step colonies were selected within the
cluster by lottery method. In case of selected colony not meeting sufficient subject criteria, adjoining
colony had taken. To identify elderly included in study, a land mark was identified in the centre of
ward/colony previously selected eg, temple, school, and then survey was started from there to have 54
elderly from that selected colony. Likewise the procedure is followed for other clusters. After obtaining
written informed consent and ensuring confidentiality and identity of gathered information house to
house survey was conducted in identified 30 wards of Jaipur city. House to house survey was done in
each identified ward to have 54 elderlies. Thorough personal interview was conducted of each of
International Multispecialty Journal of Health (IMJH) [Vol-1, Issue-9, Nov.- 2015]
19
selected elderly to fill the semi-structured pre-designed and pre-tested performa. B.G.Prassad’s
classification of socio economic status (updated till April 2010) was used to find out SES of elderly.
Likewise the procedure is followed for other clusters.
The list of wards and colonies were selected are as follows:-
S. No. Ward no. Colonies Serial no. Ward no. Colonies
1 1 Dadi ka Phatak 16 30 Jawahar nagar
2 3 Ashok Nagar and modi nagar 17 34 Fateh Tiba
3 4 SushilPura 18 37- Chand pole gate
4 6 C-Scheme 19 41 Chokdi Topkhana Hujuri
5 9 Sri Ram nagar Vistar 20 45- Moti Singh bhomia ka rasta
6 11 Dharm Park 21 47 Guljar Masjid
7 12 Rajiv Nagar(hasanpura) 22 50 Hida Ki Mori
8 13 Man Sarovar sector 10 23 52 Anand Puri
9 15 Jetpuri(Mahesh nagar) 24 54 Pratap nagar sector 8
10 17 Sitaram colony 25 57 Foota Khurra
11 21 Durgapura 26 60 Uniaro Ka Rasta
12 23 Jagannath Puri 27 62 Nahri ka Naka
13 24 Jagdish Colony 28 65 Sanjay nagar bhatta basti
14 27 Jhalana Basti 29 68 Saket Colony and tirth nagar
15 28 Prem Nagar 30 70 Shyam nagar
Data thus collected were compiled in the form of master chart in MS Excel 2007 worksheet. Parametric
and Non Parametric statistical techniques were used with the help of statistical software Primer (version
6). Chi-Square Test was used to find associations. ‘p’ value <0.05 was taken significant for inferences.
III. RESULTS
Mean age of studied elderly was observed 66.08 years with age range 60 years to 91 years with slight
female predominance i.e. 51.18% and 48.82% of male and female respectively (M:F=0.95). (Figure 1)
International Multispecialty Journal of Health (IMJH) [Vol-1, Issue-9, Nov.- 2015]
20
Figure 1
It was also observed that mean weight is lower for females compared to males at all age groups. Mean
weight also decrease with advancing age in both sexes. (Table 1)
Table 1
Age and Sex wise Mean Weight distribution in Study Population
S. No. Age Groups
(in Years)
Male Female
Mean SD SEM Mean SD SEM
1 60-64 65.77 8.38 0.51 65.65 9.10 0.45
2 65-69 69.18 11.29 0.62 67.52 9.06 0.58
3 70-74 69.15 9.41 0.87 66.89 8.89 0.77
4 75-79 66.84 8.02 1.00 66.82 9.36 2.98
5 80 and above 66.70 8.71 2.17 66.65 9.83 1.59
Out of 1620 elderly studied, only 285 (17.59%) of elderly were not having any type of illness at
the time of survey remaining were having one or more type of illness. (Figure 2)
Hypertension was found in 544 (33.58%) and other heart diseases were found in 88(5.43%) of
elderly. (Figure 3)
International Multispecialty Journal of Health (IMJH) [Vol-1, Issue-9, Nov.- 2015]
21
Figure 2 Figure 3
Health Status wise distribution of Elderly Status of Heart Diseases wise distribution of Elderly
When association of other heart diseases with hypertension was revealed it was found that all other heart
diseases were having hypertension. (Figure 4)
When association of heart diseases with other diseases was revealed it was found that majority of heart
diseases were in co-morbidity with other diseases. Obesity was maximal co-morbidly followed by
Diabetes. (Figure 4)
Figure 4 Figure 5
Co-morbidity with Heart diseases in Elderly Association of Exercise with Heart Diseases
Proportional case rate of heart diseases (excluding Hypertension) was maximum (77.14%) among
paralysis cases followed by Renal diseases, Hemorrhoids, obesity, diabetes, hypertension etc. (Table 2)
International Multispecialty Journal of Health (IMJH) [Vol-1, Issue-9, Nov.- 2015]
22
Table No.2
Major Co-Morbidity with Heart diseases excluding Hypertension in Study Population
(N=1620)
S. No. Type of Morbidity Total Cases Co-Morbidity with Ht Diseases PCR*
1 Paralysis 70 54 77.14
2 Renal Diseases 120 52 43.33
3 Hemorrhoids 104 44 42.31
4 Obesity 199 67 33.67
5 Diabetes 254 56 22.05
6 Hypertension 544 88 16.18
7 Git 243 38 15.64
8 Tb 42 2 4.76
9 Psychiatric Problems 880 23 2.61
10 Dental Problems 487 6 1.23
11 Musculo- Skeletal Problem 776 4 0.52
*PCR=Proportional Case rate
Note : Multiple response
When association of sex with heart diseases was revealed it was also observed that male shows
high preponderance of hypertension and heart diseases however which was not found significant
(p>0.05) with Hypertension but found significant (p<0.05) for other heart diseases excluding
Hypertension. (Table 3)
Table 3
Association of Heart Diseases with Sex in Elderly
S. No. Morbidity Male
(N=791)
Female
(N=829)
Total
(N=1620)
Chi-square Test at 1 DF
P Value LS
1 Hypertension 279 (35.27%) 265 (31.97%) 544 (33.58%) 1.838
0.175 NS
2 Heart Diseases 60 (7.59%) 28 (3.38%) 88 (5.43%) 29.427
<0.001 NS
When association of exercise with heart diseases was revealed it was also observed that elderly who
were doing exercise were having significantly less (p<0.001) heart diseases. (Figure 5)
International Multispecialty Journal of Health (IMJH) [Vol-1, Issue-9, Nov.- 2015]
23
Figure 5
Association of Exercise with Heart Diseases
Chi-squre test for Hypertension= 520.641 at 1 DF P Value<0.001 LS=S
Chi-squre test for Heart Diseases(excluding Hypertension)= 46.979 at 1 DF, P Value<0.001 LS=S
When association of type of exercise with heart diseases was revealed it was found that although
proportion of heart diseases were less in elderly doing Yoga than the other group but it was found
significant for heart diseases other than hypertension. (Table 4)
Table 4
Association of Heart Diseases with Sex in Elderly
S. No. Morbidity Type of Exercise Chi-square Test at 1 DF
P Value LSYoga (N=166) Walking (N=591) Others (N=30)
1 Hypertension 4 42 1 5.478
0.065 NS
2 Heart Diseases 0 9 2 8.463
=0.015 S
When association of personal habit of chewing tobacco, smoking and alcohol with heart diseases was
revealed it was found that hypertension was observed more in elderly who were smoking followed by
elderly who were taking alcohol and chewing tobacco. And this difference in proportion was found
significant (p<0.001). Likewise, it was also found that proportion of heart diseases found significantly
more (p<0.001) in elderly who were taking alcohol than who were smoking. (Table 5)
International Multispecialty Journal of Health (IMJH) [Vol-1, Issue-9, Nov.- 2015]
24
Table 5
Association of Personal Habits with Sex in Elderly
S. No. Morbidity Type of Personal Habits Chi-square Test at 1 DF
P Value LSTobacco (N=234) Smoking (N=353) Alcohol (N=81)
1 Hypertension 84 189 67 54.755
<0.001 S
2 Heart Diseases 0 68 8 50.234
<0.001 S
IV. DISCUSSION
In this study, It was found that the percentage of elderly females was slightly more (51.18%) than males
(48.82%) giving a sex ratio of 1048 females per thousand males. These observations were well in
resonance with other authors. Observations made by Seby et al (2011)10
Nandi P S et al (1997)11
and
Purna Singh et al (2012)12
were also almost similar to present study. Even SRS (2003) India survey
reported 1136 women for every 1000 men in the age group > 60 years.6
Commonest reported morbidity in present study was Psychiatric morbidity (54.32%) followed by
Musculo-Skeletal problems (47.90%) Cataract (46.97%), Hypertension (33.58%), Dental problems
(30.06%). The present study supported conclusion of the earlier studies that Visual Impairments,
Hypertension, Arthritis and Dental Problems are extremely common complaints in the Elderly.13-15
Rahul Prakash et al16
shows that 70% elderly were suffering from ophthalmic problems, 48% with
hypertension and 42% with psycho-social problems.
Overall prevalence of diabetes in the study population was 15.67%. Dey et al (2001)13
found a
prevalence of 15.20% among the elderly subjects attending geriatric clinics. Canadian study of Health
and Aging (CSHA-1) estimated the prevalence of diabetes mellitus among the elderly to be 12.1%.
Several other studies have reported it to vary from 6-16%.17
Hypertension was found in 544 (33.58%) and other heart diseases were found in 88(5.43%) of elderly.
When association of other heart diseases with hypertension was revealed it was found that all other heart
diseases were having hypertension. When association of heart diseases with other diseases was revealed
it was found that majority of heart diseases were in co-morbidity with other diseases. Obesity was
maximal co-morbidly followed by Diabetes. Survey conducted by NSSO 8
1984-85 to 1995-96 detected
that 50% of older Indians had one or more morbidity while up to 40% of them had one or more
functional disability. Other authors also reported almost similar observations regarding co-morbidity
with heart diseases.
In this study male shows high preponderance of hypertension and heart diseases however which was not
found significant (p>0.05) with Hypertension but found significant (p<0.05) for other heart diseases
excluding Hypertension. Likewise it was also observed that elderly who were doing exercise were
having significantly less (p<0.001) heart diseases. It was found in this study that hypertension was
observed significantly more in elderly who were smoking followed by elderly who were taking alcohol
International Multispecialty Journal of Health (IMJH) [Vol-1, Issue-9, Nov.- 2015]
25
and chewing tobacco. But proportion of heart diseases (other than hypertension) found significantly
more (p<0.001) in elderly who were taking alcohol than who were smoking. Other authors also have
almost similar observations and several risk factors for heart diseases: age, gender, tobacco use, physical
inactivity, excessive alcohol consumption, unhealthy diet, obesity, family history of cardiovascular
disease, raised blood pressure (hypertension), raised blood sugar (diabetes mellitus), raised blood
cholesterol (hyperlipidemia), psychosocial factors, poverty and low educational status.18,19,20,21
V. CONCLUSION
Hypertension was found in 33.58% and other heart diseases were found in 5.43% of elderly. It was
found that all other heart diseases were having hypertension. Obesity was maximal co-morbidly with
heart disease followed by Diabetes. Heart diseases were found significantly more in males. Likewise it
was also observed that elderly who were doing exercise were having significantly less heart diseases.
Hypertension was observed significantly more in elderly who were smoking followed by elderly who
were taking alcohol and chewing tobacco. But proportion of heart diseases (other than hypertension)
found significantly more in elderly who were taking alcohol than who were smoking.
CONFLICT OF INTEREST
None declared till now.
REFERENCES
1. Shanthi Mendis; Pekka Puska; Bo Norrving; World Health Organization (2011). Global Atlas on
Cardiovascular Disease Prevention and Control (PDF). World Health Organization in collaboration
with the World Heart Federation and the World Stroke Organization. pp. 3–18. ISBN 978-92-4-
156437-3
2. GBD 2013 Mortality and Causes of Death, Collaborators (17 December 2014)."Global, regional,
and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-
2013: a systematic analysis for the Global Burden of Disease Study 2013.". Lancet 385 (9963): 117–
71. doi:10.1016/S0140-6736(14)61682-2.PMC 4340604. PMID 25530442
3. AS; Mozaffarian, D; Roger, VL; Benjamin, EJ; Berry, JD; Borden, WB; Bravata, DM; Dai, S; Ford,
ES; Fox, CS; Franco, S; Fullerton, HJ; Gillespie, C; Hailpern, SM; Heit, JA; Howard, VJ; Huffman,
MD; Kissela, BM; Kittner, SJ; Lackland, DT; Lichtman, JH; Lisabeth, LD; Magid, D; Marcus, GM;
Marelli, A; Matchar, DB; McGuire, DK; Mohler, ER; Moy, CS; Mussolino, ME; Nichol, G;
Paynter, NP; Schreiner, PJ; Sorlie, PD; Stein, J; Turan, TN; Virani, SS; Wong, ND; Woo, D; Turner,
MB; American Heart Association Statistics Committee and Stroke Statistics, Subcommittee (1
January 2013). "Heart disease and stroke statistics--2013 update: a report from the American Heart
Association.". Circulation127 (1): e6–e245. doi:10.1161/cir.0b013e31828124ad. PMID 23239837
4. McGill HC, McMahan CA, Gidding SS (March 2008). "Preventing heart disease in the 21st century:
implications of the Pathobiological Determinants of Atherosclerosis in Youth (PDAY)
study". Circulation 117 (9): 1216–
27.doi:10.1161/CIRCULATIONAHA.107.717033. PMID 18316498
5. World Health Organization: population Ageing – A Public Health Challenge. WHO 1998;Fact Sheet
N.135
6. Sample Registration System (SRS) Estimates of India, 2003
7. Statistical report 2005,Registrar general of India, National Health Profile 2008
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8. National Sample Survey Organization (NSSO),Govt.of India, Socio-economic Profile of the aged
persons, Sarvekshana,1991,vol:15,No.49, p:1-2
9. Dr. Kusum Lata Gaur, Dr. S.C. Soni and Dr. Rajeev Yadav. Community Medicine: Practical Guide
and Logbook. CBS Publications and Distribution Pvt. Ltd. 4819/XI, Prahlad Street, 24 Ansari Road,
Dariyaganj, New Delhi India. ISBN: 978-81-23-2394-9. 1st
Edition 2014. Page- 197-8
10. Seby K, Chaudhury S, Chakraborty R. Prevalence of psychiatric and physical morbidity in an urban
geriatric population. Indian J Psychiatry 2011;53:121-7
11. Nandi P S, Banerjee G Mukherjee SP, et al : A study of psychiatric morbidity of the elderly
population of a rural community in west Bengal Indian J Psychiatry 1997;39(2):122-9
12. A. Purna Singh, K. Lokesh Kumar, C. M. Pavan Kumar Reddy. Psychiatric Morbidity in Geriatric
Population in Old Age Homes and Community: A Comparative Study. Indian Journal of
Psychological Medicine | Jan - Mar 2012 | Vol 34 | Issue 1
13. Dey A B, Soneja S, Nagarkar K M, jhingan H P: Evaluation of the Health and Functional Status of
Older Indians as a Perlude to the Development of a Health Programme. The national Med J of India
2001;14:125-138
14. Kamlesh joshi, Rajesh kumar, Ajit avasthi –Morbidity profile and its relationship with disability and
psychological distress among elderly in northern India.International journal of epideiology 2003;
32;978-987.(c) International epidemiolo gical association
15. Ibrahim T Marouf, Namir G. Al-Tawil, Tariq S. Al-Hadithi, Nazar P. Shabila. Quality of life and
morbidity pattern of geriatric population in Erbil city, Iraq. Middle East Journal of Age and Ageing
2010; Vol-7, issue-1
16. Rahul Prakash,S.K.Choudhary, Udai Shankar Singh-A study of Morbidity pattern among geriatric
population in an urban area of Udaipur. Rajasthan. Indion Journal of Community Medicine Vol,
xxix No.1 Jan-March 2004
17. Rockwood Kenneth, Awalt Erin Macknight Chris McDowell Ian: Incidence and outcomes of
diabetes ellitus in elderly people: report from the Canadians study of Health and aging J Can Med
Asso Mar 21 2000: 162(6)
18. Bridget B. Kelly; Institute of Medicine; Fuster, Valentin (2010). Promoting Cardiovascular Health in
the Developing World: A Critical Challenge to Achieve Global Health. Washington, D.C: National
Academies Press. ISBN 0-309-14774-3
19. Howard, BV; Wylie-Rosett, J (Jul 23, 2002). "Sugar and cardiovascular disease: A statement for
healthcare professionals from the Committee on Nutrition of the Council on Nutrition, Physical
Activity, and Metabolism of the American Heart Association.". Circulation106 (4): 523–
7. doi:10.1161/01.cir.0000019552.77778.04. PMID 12135957
20. Finks, SW; Airee, A; Chow, SL; Macaulay, TE; Moranville, MP; Rogers, KC; Trujillo, TC (April
2012). "Key articles of dietary interventions that influence cardiovascular
mortality.".Pharmacotherapy 32 (4): e54–87.
21. Micha, R; Michas, G; Mozaffarian, D (Dec 2012). "Unprocessed red and processed meats and risk
of coronary artery disease and type 2 diabetes—an updated review of the evidence.". Current
atherosclerosis reports 14 (6): 515–24.

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Heart Diseases and its associated factors in Geriatric Population residing in a Metropolitian City

  • 1. International Multispecialty Journal of Health (IMJH) [Vol-1, Issue-9, Nov.- 2015] 17 Heart Diseases and its associated factors in Geriatric Population residing in a Metropolitian City Dr. Dharmesh Kumar Sharma1 , Dr. Yashvi Gehlot2 , Dr. Rajeev Yadav 3 , Dr. Suresh Kewalramani4 and Dr. B.N. Sharma5 1,3,4 Assistant Professor, Department of Community Medicine, SMS Medical College, Jaipur (Rajasthan) India 2 Junior Resident, Eternal Heart Care Centre (EHCC), Jaipur (Rajasthan) India 5 Professor and Head, Department of Community Medicine, MG Medical College, Jaipur (Rajasthan) India Abstract: Geriatric population is increasing as life expectancy is increasing. This population is susceptible for many health problems which have a significant impact on their quality of life. So this cross-sectional study was carried out from September 2009 to August 2010 on 1620 elderly residing in Municipal corporation area of Jaipur city with the aim to study the heart diseases and its associated factors in geriatric population. Mean age of elderly was 66.08 years with slight female predominance i.e. 1048 females for 1000 males in Jaipur city. Only 285 (17.59%) elderly who were not having and type of morbidity otherwise a sizable count i.e. 573 (35.36%) were having even 4 or more type of co morbidity. Out of total 1620 elderly 544 (33.58%) were having Hypertension and 88 (5.43%) of elderly were having other heart diseases. It was found that all other heart diseases were having hypertension. Obesity was maximal co-morbidly with heart disease followed by Diabetes. Heart diseases were found significantly more in males. Likewise it was also observed that elderly who were doing exercise were having significantly less heart diseases. Hypertension was observed significantly more in elderly who were smoking followed by elderly who were taking alcohol and chewing tobacco. But proportion of heart diseases (other than hypertension) found significantly more in elderly who were taking alcohol than who were smoking. Key words- Heart Diseases, Hypertension, Elderly, Geriatric, Metropolitan City. I. INTRODUCTION Cardiovascular diseases (CVDs) are the diseases that involve heart and blood vessels. Cardiovascular diseases includes coronary artery diseases (CADs) like angina and myocardial infarction (commonly called as heart attack).1 Other CVDs are Hypertension, stroke, cardiomyopathies, endocarditis, anurism, atrial fibrilation, venous thrombosis, peripheral artery diseases etc.1,2 Cardiovascular diseases are major killer disease Globally. Most CVDs occurs in geriatric population, data shows that 11% CVDs occurs in 20-40 years , 37% in 40-60 years and 71% occurs in >60 years of age.3 And best part of it is that 90% of these are preventable.4 There is worldwide trend of increasing geriatric population (> 60 years) which is elicit with the fact that 8.6% of 1980 has increased to 10.8% of total world population in 2010.4 This “demographic time bomb” is nearing explosion in developed nations. Asia, including India, is not far behind.5 Population projection indicates that India will have 198 million 60 plus person in 2030 and 326 million in 2050 when it would be 21% of total population of the country making it the country with the largest elderly population in the world (SRS 2003).6 The percentage of persons above 60 years of age in India was 7.3% having 6.9% in urban and 7.5% in rural areas. In Rajasthan, this population constitute 6.5% (N.H.P.2008). 7
  • 2. International Multispecialty Journal of Health (IMJH) [Vol-1, Issue-9, Nov.- 2015] 18 Many health problems are known to increase with age and this demographic trend is believed is lead to an increase in the absolute number of health condition in the population as reflected by the growing body of evidence that older people are at risk for multiple, co-morbid conditions. Various studies have shown that perceived health declines with age and the effect of ill health impacts on many areas of daily activities. As people become older the functioning and adaptability of the tissues and different organs decline. Geriatric populations suffer both from communicable and non-communicable diseases but due to changing patterns of socioeconomic factors and urbanization, non-communicable diseases are on increase. Elderly people suffer from the dual impact of different chronic diseases and disability resulting from these diseases. Many health problems are known to increase with age and this demographic trend is believed is lead to an increase in the absolute number of health condition in the population as reflected by that older people are at risk for multiple, co-morbid conditions.7 Survey conducted by NSSO 1984-85 to 1995-96 detected that 50% of elderly Indians had one or more morbidity while up to 40% of them had one or more functional disability.8 Higher morbidity among elderly calls for strengthening of geriatric health care services. Old age persons need special health care different from general population. It is necessary to know the health status and prevailed morbidity pattern in this group. By knowing the prevalent preference of type of medicine system with also help in better framing comprehensive policies to make ageing a comfortable experience. So this study was conducted to assess the health status and morbidity pattern in geriatric population of a metropolitan city. II. METHODOLOGY A cross-sectional study was After taking approval from Institutional Ethics committee, this community based cross sectional survey was conducted on elderly aged 60 years and above living in Municipal Corporation area of Jaipur city, Rajasthan , from September 2009 to August 2010. Sample size was calculated 643 subjects at 95% confidence limit and absolute sampling error of 2% assuming 6.9% proportion of elderly (as per SRS 2008). As sampling technique used as 30 cluster so calculated sample size was multiplied by 2.9 So sample size came out to 1286, which was again inflated 20% for contingency addition and came out to 1544. So, for the study purpose 1620 elderly was taken to have 54 elderly from each of 30 cluster. To start with survey, list of all wards with their respective population was obtained from Municipal Corporation. Then 30 clusters had selected from all the wards of Municipal Corporation as per 30 cluster technique. After selecting the 30 clusters, in the second step colonies were selected within the cluster by lottery method. In case of selected colony not meeting sufficient subject criteria, adjoining colony had taken. To identify elderly included in study, a land mark was identified in the centre of ward/colony previously selected eg, temple, school, and then survey was started from there to have 54 elderly from that selected colony. Likewise the procedure is followed for other clusters. After obtaining written informed consent and ensuring confidentiality and identity of gathered information house to house survey was conducted in identified 30 wards of Jaipur city. House to house survey was done in each identified ward to have 54 elderlies. Thorough personal interview was conducted of each of
  • 3. International Multispecialty Journal of Health (IMJH) [Vol-1, Issue-9, Nov.- 2015] 19 selected elderly to fill the semi-structured pre-designed and pre-tested performa. B.G.Prassad’s classification of socio economic status (updated till April 2010) was used to find out SES of elderly. Likewise the procedure is followed for other clusters. The list of wards and colonies were selected are as follows:- S. No. Ward no. Colonies Serial no. Ward no. Colonies 1 1 Dadi ka Phatak 16 30 Jawahar nagar 2 3 Ashok Nagar and modi nagar 17 34 Fateh Tiba 3 4 SushilPura 18 37- Chand pole gate 4 6 C-Scheme 19 41 Chokdi Topkhana Hujuri 5 9 Sri Ram nagar Vistar 20 45- Moti Singh bhomia ka rasta 6 11 Dharm Park 21 47 Guljar Masjid 7 12 Rajiv Nagar(hasanpura) 22 50 Hida Ki Mori 8 13 Man Sarovar sector 10 23 52 Anand Puri 9 15 Jetpuri(Mahesh nagar) 24 54 Pratap nagar sector 8 10 17 Sitaram colony 25 57 Foota Khurra 11 21 Durgapura 26 60 Uniaro Ka Rasta 12 23 Jagannath Puri 27 62 Nahri ka Naka 13 24 Jagdish Colony 28 65 Sanjay nagar bhatta basti 14 27 Jhalana Basti 29 68 Saket Colony and tirth nagar 15 28 Prem Nagar 30 70 Shyam nagar Data thus collected were compiled in the form of master chart in MS Excel 2007 worksheet. Parametric and Non Parametric statistical techniques were used with the help of statistical software Primer (version 6). Chi-Square Test was used to find associations. ‘p’ value <0.05 was taken significant for inferences. III. RESULTS Mean age of studied elderly was observed 66.08 years with age range 60 years to 91 years with slight female predominance i.e. 51.18% and 48.82% of male and female respectively (M:F=0.95). (Figure 1)
  • 4. International Multispecialty Journal of Health (IMJH) [Vol-1, Issue-9, Nov.- 2015] 20 Figure 1 It was also observed that mean weight is lower for females compared to males at all age groups. Mean weight also decrease with advancing age in both sexes. (Table 1) Table 1 Age and Sex wise Mean Weight distribution in Study Population S. No. Age Groups (in Years) Male Female Mean SD SEM Mean SD SEM 1 60-64 65.77 8.38 0.51 65.65 9.10 0.45 2 65-69 69.18 11.29 0.62 67.52 9.06 0.58 3 70-74 69.15 9.41 0.87 66.89 8.89 0.77 4 75-79 66.84 8.02 1.00 66.82 9.36 2.98 5 80 and above 66.70 8.71 2.17 66.65 9.83 1.59 Out of 1620 elderly studied, only 285 (17.59%) of elderly were not having any type of illness at the time of survey remaining were having one or more type of illness. (Figure 2) Hypertension was found in 544 (33.58%) and other heart diseases were found in 88(5.43%) of elderly. (Figure 3)
  • 5. International Multispecialty Journal of Health (IMJH) [Vol-1, Issue-9, Nov.- 2015] 21 Figure 2 Figure 3 Health Status wise distribution of Elderly Status of Heart Diseases wise distribution of Elderly When association of other heart diseases with hypertension was revealed it was found that all other heart diseases were having hypertension. (Figure 4) When association of heart diseases with other diseases was revealed it was found that majority of heart diseases were in co-morbidity with other diseases. Obesity was maximal co-morbidly followed by Diabetes. (Figure 4) Figure 4 Figure 5 Co-morbidity with Heart diseases in Elderly Association of Exercise with Heart Diseases Proportional case rate of heart diseases (excluding Hypertension) was maximum (77.14%) among paralysis cases followed by Renal diseases, Hemorrhoids, obesity, diabetes, hypertension etc. (Table 2)
  • 6. International Multispecialty Journal of Health (IMJH) [Vol-1, Issue-9, Nov.- 2015] 22 Table No.2 Major Co-Morbidity with Heart diseases excluding Hypertension in Study Population (N=1620) S. No. Type of Morbidity Total Cases Co-Morbidity with Ht Diseases PCR* 1 Paralysis 70 54 77.14 2 Renal Diseases 120 52 43.33 3 Hemorrhoids 104 44 42.31 4 Obesity 199 67 33.67 5 Diabetes 254 56 22.05 6 Hypertension 544 88 16.18 7 Git 243 38 15.64 8 Tb 42 2 4.76 9 Psychiatric Problems 880 23 2.61 10 Dental Problems 487 6 1.23 11 Musculo- Skeletal Problem 776 4 0.52 *PCR=Proportional Case rate Note : Multiple response When association of sex with heart diseases was revealed it was also observed that male shows high preponderance of hypertension and heart diseases however which was not found significant (p>0.05) with Hypertension but found significant (p<0.05) for other heart diseases excluding Hypertension. (Table 3) Table 3 Association of Heart Diseases with Sex in Elderly S. No. Morbidity Male (N=791) Female (N=829) Total (N=1620) Chi-square Test at 1 DF P Value LS 1 Hypertension 279 (35.27%) 265 (31.97%) 544 (33.58%) 1.838 0.175 NS 2 Heart Diseases 60 (7.59%) 28 (3.38%) 88 (5.43%) 29.427 <0.001 NS When association of exercise with heart diseases was revealed it was also observed that elderly who were doing exercise were having significantly less (p<0.001) heart diseases. (Figure 5)
  • 7. International Multispecialty Journal of Health (IMJH) [Vol-1, Issue-9, Nov.- 2015] 23 Figure 5 Association of Exercise with Heart Diseases Chi-squre test for Hypertension= 520.641 at 1 DF P Value<0.001 LS=S Chi-squre test for Heart Diseases(excluding Hypertension)= 46.979 at 1 DF, P Value<0.001 LS=S When association of type of exercise with heart diseases was revealed it was found that although proportion of heart diseases were less in elderly doing Yoga than the other group but it was found significant for heart diseases other than hypertension. (Table 4) Table 4 Association of Heart Diseases with Sex in Elderly S. No. Morbidity Type of Exercise Chi-square Test at 1 DF P Value LSYoga (N=166) Walking (N=591) Others (N=30) 1 Hypertension 4 42 1 5.478 0.065 NS 2 Heart Diseases 0 9 2 8.463 =0.015 S When association of personal habit of chewing tobacco, smoking and alcohol with heart diseases was revealed it was found that hypertension was observed more in elderly who were smoking followed by elderly who were taking alcohol and chewing tobacco. And this difference in proportion was found significant (p<0.001). Likewise, it was also found that proportion of heart diseases found significantly more (p<0.001) in elderly who were taking alcohol than who were smoking. (Table 5)
  • 8. International Multispecialty Journal of Health (IMJH) [Vol-1, Issue-9, Nov.- 2015] 24 Table 5 Association of Personal Habits with Sex in Elderly S. No. Morbidity Type of Personal Habits Chi-square Test at 1 DF P Value LSTobacco (N=234) Smoking (N=353) Alcohol (N=81) 1 Hypertension 84 189 67 54.755 <0.001 S 2 Heart Diseases 0 68 8 50.234 <0.001 S IV. DISCUSSION In this study, It was found that the percentage of elderly females was slightly more (51.18%) than males (48.82%) giving a sex ratio of 1048 females per thousand males. These observations were well in resonance with other authors. Observations made by Seby et al (2011)10 Nandi P S et al (1997)11 and Purna Singh et al (2012)12 were also almost similar to present study. Even SRS (2003) India survey reported 1136 women for every 1000 men in the age group > 60 years.6 Commonest reported morbidity in present study was Psychiatric morbidity (54.32%) followed by Musculo-Skeletal problems (47.90%) Cataract (46.97%), Hypertension (33.58%), Dental problems (30.06%). The present study supported conclusion of the earlier studies that Visual Impairments, Hypertension, Arthritis and Dental Problems are extremely common complaints in the Elderly.13-15 Rahul Prakash et al16 shows that 70% elderly were suffering from ophthalmic problems, 48% with hypertension and 42% with psycho-social problems. Overall prevalence of diabetes in the study population was 15.67%. Dey et al (2001)13 found a prevalence of 15.20% among the elderly subjects attending geriatric clinics. Canadian study of Health and Aging (CSHA-1) estimated the prevalence of diabetes mellitus among the elderly to be 12.1%. Several other studies have reported it to vary from 6-16%.17 Hypertension was found in 544 (33.58%) and other heart diseases were found in 88(5.43%) of elderly. When association of other heart diseases with hypertension was revealed it was found that all other heart diseases were having hypertension. When association of heart diseases with other diseases was revealed it was found that majority of heart diseases were in co-morbidity with other diseases. Obesity was maximal co-morbidly followed by Diabetes. Survey conducted by NSSO 8 1984-85 to 1995-96 detected that 50% of older Indians had one or more morbidity while up to 40% of them had one or more functional disability. Other authors also reported almost similar observations regarding co-morbidity with heart diseases. In this study male shows high preponderance of hypertension and heart diseases however which was not found significant (p>0.05) with Hypertension but found significant (p<0.05) for other heart diseases excluding Hypertension. Likewise it was also observed that elderly who were doing exercise were having significantly less (p<0.001) heart diseases. It was found in this study that hypertension was observed significantly more in elderly who were smoking followed by elderly who were taking alcohol
  • 9. International Multispecialty Journal of Health (IMJH) [Vol-1, Issue-9, Nov.- 2015] 25 and chewing tobacco. But proportion of heart diseases (other than hypertension) found significantly more (p<0.001) in elderly who were taking alcohol than who were smoking. Other authors also have almost similar observations and several risk factors for heart diseases: age, gender, tobacco use, physical inactivity, excessive alcohol consumption, unhealthy diet, obesity, family history of cardiovascular disease, raised blood pressure (hypertension), raised blood sugar (diabetes mellitus), raised blood cholesterol (hyperlipidemia), psychosocial factors, poverty and low educational status.18,19,20,21 V. CONCLUSION Hypertension was found in 33.58% and other heart diseases were found in 5.43% of elderly. It was found that all other heart diseases were having hypertension. Obesity was maximal co-morbidly with heart disease followed by Diabetes. Heart diseases were found significantly more in males. Likewise it was also observed that elderly who were doing exercise were having significantly less heart diseases. Hypertension was observed significantly more in elderly who were smoking followed by elderly who were taking alcohol and chewing tobacco. But proportion of heart diseases (other than hypertension) found significantly more in elderly who were taking alcohol than who were smoking. CONFLICT OF INTEREST None declared till now. REFERENCES 1. Shanthi Mendis; Pekka Puska; Bo Norrving; World Health Organization (2011). Global Atlas on Cardiovascular Disease Prevention and Control (PDF). World Health Organization in collaboration with the World Heart Federation and the World Stroke Organization. pp. 3–18. ISBN 978-92-4- 156437-3 2. GBD 2013 Mortality and Causes of Death, Collaborators (17 December 2014)."Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990- 2013: a systematic analysis for the Global Burden of Disease Study 2013.". Lancet 385 (9963): 117– 71. doi:10.1016/S0140-6736(14)61682-2.PMC 4340604. PMID 25530442 3. AS; Mozaffarian, D; Roger, VL; Benjamin, EJ; Berry, JD; Borden, WB; Bravata, DM; Dai, S; Ford, ES; Fox, CS; Franco, S; Fullerton, HJ; Gillespie, C; Hailpern, SM; Heit, JA; Howard, VJ; Huffman, MD; Kissela, BM; Kittner, SJ; Lackland, DT; Lichtman, JH; Lisabeth, LD; Magid, D; Marcus, GM; Marelli, A; Matchar, DB; McGuire, DK; Mohler, ER; Moy, CS; Mussolino, ME; Nichol, G; Paynter, NP; Schreiner, PJ; Sorlie, PD; Stein, J; Turan, TN; Virani, SS; Wong, ND; Woo, D; Turner, MB; American Heart Association Statistics Committee and Stroke Statistics, Subcommittee (1 January 2013). "Heart disease and stroke statistics--2013 update: a report from the American Heart Association.". Circulation127 (1): e6–e245. doi:10.1161/cir.0b013e31828124ad. PMID 23239837 4. McGill HC, McMahan CA, Gidding SS (March 2008). "Preventing heart disease in the 21st century: implications of the Pathobiological Determinants of Atherosclerosis in Youth (PDAY) study". Circulation 117 (9): 1216– 27.doi:10.1161/CIRCULATIONAHA.107.717033. PMID 18316498 5. World Health Organization: population Ageing – A Public Health Challenge. WHO 1998;Fact Sheet N.135 6. Sample Registration System (SRS) Estimates of India, 2003 7. Statistical report 2005,Registrar general of India, National Health Profile 2008
  • 10. International Multispecialty Journal of Health (IMJH) [Vol-1, Issue-9, Nov.- 2015] 26 8. National Sample Survey Organization (NSSO),Govt.of India, Socio-economic Profile of the aged persons, Sarvekshana,1991,vol:15,No.49, p:1-2 9. Dr. Kusum Lata Gaur, Dr. S.C. Soni and Dr. Rajeev Yadav. Community Medicine: Practical Guide and Logbook. CBS Publications and Distribution Pvt. Ltd. 4819/XI, Prahlad Street, 24 Ansari Road, Dariyaganj, New Delhi India. ISBN: 978-81-23-2394-9. 1st Edition 2014. Page- 197-8 10. Seby K, Chaudhury S, Chakraborty R. Prevalence of psychiatric and physical morbidity in an urban geriatric population. Indian J Psychiatry 2011;53:121-7 11. Nandi P S, Banerjee G Mukherjee SP, et al : A study of psychiatric morbidity of the elderly population of a rural community in west Bengal Indian J Psychiatry 1997;39(2):122-9 12. A. Purna Singh, K. Lokesh Kumar, C. M. Pavan Kumar Reddy. Psychiatric Morbidity in Geriatric Population in Old Age Homes and Community: A Comparative Study. Indian Journal of Psychological Medicine | Jan - Mar 2012 | Vol 34 | Issue 1 13. Dey A B, Soneja S, Nagarkar K M, jhingan H P: Evaluation of the Health and Functional Status of Older Indians as a Perlude to the Development of a Health Programme. The national Med J of India 2001;14:125-138 14. Kamlesh joshi, Rajesh kumar, Ajit avasthi –Morbidity profile and its relationship with disability and psychological distress among elderly in northern India.International journal of epideiology 2003; 32;978-987.(c) International epidemiolo gical association 15. Ibrahim T Marouf, Namir G. Al-Tawil, Tariq S. Al-Hadithi, Nazar P. Shabila. Quality of life and morbidity pattern of geriatric population in Erbil city, Iraq. Middle East Journal of Age and Ageing 2010; Vol-7, issue-1 16. Rahul Prakash,S.K.Choudhary, Udai Shankar Singh-A study of Morbidity pattern among geriatric population in an urban area of Udaipur. Rajasthan. Indion Journal of Community Medicine Vol, xxix No.1 Jan-March 2004 17. Rockwood Kenneth, Awalt Erin Macknight Chris McDowell Ian: Incidence and outcomes of diabetes ellitus in elderly people: report from the Canadians study of Health and aging J Can Med Asso Mar 21 2000: 162(6) 18. Bridget B. Kelly; Institute of Medicine; Fuster, Valentin (2010). Promoting Cardiovascular Health in the Developing World: A Critical Challenge to Achieve Global Health. Washington, D.C: National Academies Press. ISBN 0-309-14774-3 19. Howard, BV; Wylie-Rosett, J (Jul 23, 2002). "Sugar and cardiovascular disease: A statement for healthcare professionals from the Committee on Nutrition of the Council on Nutrition, Physical Activity, and Metabolism of the American Heart Association.". Circulation106 (4): 523– 7. doi:10.1161/01.cir.0000019552.77778.04. PMID 12135957 20. Finks, SW; Airee, A; Chow, SL; Macaulay, TE; Moranville, MP; Rogers, KC; Trujillo, TC (April 2012). "Key articles of dietary interventions that influence cardiovascular mortality.".Pharmacotherapy 32 (4): e54–87. 21. Micha, R; Michas, G; Mozaffarian, D (Dec 2012). "Unprocessed red and processed meats and risk of coronary artery disease and type 2 diabetes—an updated review of the evidence.". Current atherosclerosis reports 14 (6): 515–24.