Literature DB >> 16385922

Social class and all-cause mortality in an urban population of North India.

Ram B Singh1, Vijender Singh, Shelendra K Kulshrestha, Surendra Singh, Pankaj Gupta, Rajeev Kumar, Atul Krishna, Shiv S L Srivastav, Shashi B Gupta, Daniel Pella, Germaine Cornelissen.   

Abstract

BACKGROUND: There is a rapid emergence of cardiovascular disease in India with economic development, leading to an increase in mortality due to these diseases. The exact causes of death in India, however, are not known. SUBJECTS AND METHODS: We studied randomly selected death records from 2222 (1385 men and 837 women) victims, aged 25-64 years, out of 3034 death records during 1999-2001 at the Municipal Corporation, Moradabad. All the families of these victims could be contacted individually to find out the causes of death, by scientists/doctors-administered pre-tested verbal autopsy questionnaires, completed with the help of spouses and local treating doctors practising in the concerned lane. Social classes were assessed by a questionnaire based on attributes of per capita income, occupation, education, housing and ownership of consumer luxury items in the household.
RESULTS: Causes of mortality included infectious diseases (41.1%, n = 915) such as tuberculosis, pneumonia, chronic obstructive pulmonary disease, diarrhea/dysentery, hepatitis B, and inflammatory brain infections as the commonest causes of death in the urban population of North India. The second most common causes of death were circulatory diseases (29.1%, n = 646), including heart attacks (10.0%), strokes (7.8%), valvular heart disease (7.2%, n = 160), sudden cardiac death, and inflammatory cardiac disease (each 2.0%, n = 44). Malignant neoplasm (5.8%, n = 131), injury (14.0%, n = 313), including accidents, fire and falls, and poisonings were also quite common causes of death. Miscellaneous causes of death were noted in 9.1% (n = 202) death records, including diabetes mellitus (2.2%, n = 49), suicides (1.8%, n = 41), congenital anomalies (1.0, n = 37), dental caries infections (1.9, n = 42), and burns (1.3%, n = 33). Pregnancy and perinatal causes (0.72%, n = 15) were not commonly recorded in our study. Circulatory diseases as the cause of mortality were statistically significantly more common among higher social classes (1-3) than in lower social classes (4 and 5) whose members died more often due to infections. Heart attacks, strokes, hypertension, diabetes and obesity were statistically significantly more common among higher social classes (1-3) as compared to classes 3 and 4, but tobacco intake showed only minor differences among various classes.
CONCLUSIONS: This study indicates that circulatory diseases, injury and malignant diseases have become the major causes of death in India, after infections. Members of social classes 1-3 died more often due to circulatory diseases and members in lower social classes died more often due to infections. Urbanization with rapid changes in diet and lifestyle in various social classes, and possibly aging of the population seem to be responsible for the double burden of diseases, related to under- and over-nutrition, causing death in a developing economy. Monitoring of blood pressure and heart rate around the clock for 7 days, with data analysed chronobiologically can detect abnormal circadian patterns associated with a large increase in cardiovascular disease risk, greater than hypertension itself, allowing the institution of prophylactic treatment. Such prehabilitation may be particularly useful to curb the increasing burden of cardiovascular diseases in both developed and developing countries.

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Year:  2005        PMID: 16385922     DOI: 10.2143/AC.60.6.2004933

Source DB:  PubMed          Journal:  Acta Cardiol        ISSN: 0001-5385            Impact factor:   1.718


  10 in total

1.  Socio-economic status and cardiovascular risk factors in rural and urban areas of Vellore, Tamilnadu, South India.

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Journal:  Int J Epidemiol       Date:  2012-02-24       Impact factor: 7.196

2.  The tsim tsoum approaches for prevention of cardiovascular disease.

Authors:  R B Singh; Fabien Demeester; Agnieska Wilczynska
Journal:  Cardiol Res Pract       Date:  2010-06-29       Impact factor: 1.866

3.  Social patterning of chronic disease risk factors in a Latin American city.

Authors:  Nancy L Fleischer; Ana V Diez Roux; Marcio Alazraqui; Hugo Spinelli
Journal:  J Urban Health       Date:  2008-10-02       Impact factor: 3.671

4.  Trauma care in India and Germany.

Authors:  Hans-Joerg Oestern; Bhavuk Garg; Prakash Kotwal
Journal:  Clin Orthop Relat Res       Date:  2013-09       Impact factor: 4.176

5.  Mortality burden and socioeconomic status in India.

Authors:  June Y T Po; S V Subramanian
Journal:  PLoS One       Date:  2011-02-09       Impact factor: 3.240

6.  A Community-based Cross-sectional Study of Cardiovascular Risk in a Rural Community of Puducherry.

Authors:  Saurabh R Shrivastava; Arun G Ghorpade; Prateek S Shrivastava
Journal:  Heart Views       Date:  2015 Oct-Dec

7.  Functional outcome following rehabilitation in chronic severe traumatic brain injury patients: A prospective study.

Authors:  Anupam Gupta; Arun B Taly
Journal:  Ann Indian Acad Neurol       Date:  2012-04       Impact factor: 1.383

8.  Tobacco consumption in relation to causes of death in an urban population of north India.

Authors:  Ram B Singh; Surendra Singh; Pronobesh Chattopadhya; Kalpana Singh; Vijender Singhz; Shallendra K Kulshrestha; Rukam S Tomar; Rajeev Kumar; Garima Singh; Viola Mechirova; Daniel Pella
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2007

9.  Hospital based infectious disease related proportional mortality study.

Authors:  Rajnish Joshi; Rahul Lodhe; Sachin Agrawal; Ap Jain
Journal:  J Glob Infect Dis       Date:  2014-01

Review 10.  A systematic review of associations between non-communicable diseases and socioeconomic status within low- and lower-middle-income countries.

Authors:  Julianne Williams; Luke Allen; Kremlin Wickramasinghe; Bente Mikkelsen; Nia Roberts; Nick Townsend
Journal:  J Glob Health       Date:  2018-12       Impact factor: 4.413

  10 in total

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