Prevalence and distribution of cardiovascular risk factors in an urban industrial population in south India: a cross-sectional study.

BACKGROUND: Cardiovascular diseases (CVD) are leading cause of death in developing countries including India. The huge burden of CVD in Indian subcontinent is the consequence of the large population and high prevalence of cardiovascular risk factors. This study was done to determine the prevalence of cardiovascular risk factors in two industrial units in Chennai, India. METHODS: Survey of behavioural risk factors using structured questionnaires and anthropometric measurements were done for the study population. Blood samples were collected for the fasting plasma glucose and serum cholesterol. Trend chi-square was employed to test the linear trend. RESULTS: The total study population included 2262 male subjects. Blood samples were collected for 2148 (95.0%) subjects. Age range was 18-69 years. Prevalence of major cardiovascular risk factors was: current smokers 462 (20.2%), body mass index > or = 23 kg/m2 1510 (66.8%), central obesity 1589 (70.2%), hypertension 615 (27.2%), diabetes mellitus 350(16.3%) and total cholesterol > or = 200mg/dl in 650(30.3%). CONCLUSIONS: The study results indicated high prevalence of behavioural risk factors, central obesity, hypertension and diabetes in a select group of middle and high-income young urban males. The long-term follow-up in such settings will provide an opportunity to understand the influence of risk factors on cardiovascular disease outcomes.

Prevalence of disability and handicaps in geriatric population in rural south India.

Proportion of aged persons in India is increasing and is expected to be around 70 million by the end of the year 2000. The epidemiological consequences would be increase in the geriatric problems, particularly, impairments, disabilities and handicaps There are not many community-based studies using the International Classification of Impairments, Disabilities and Handicaps (ICIDH). The main objective of this study was to estimate the prevalence of disabled in the elderly population (aged above 60 years) in a district of south India using ICIDH classification. Thirty villages were selected using probability proportional to size linear systematic sampling (PPSLSS) from Villupuram health unit district in Tamilnadu in south India. One hundred and five households were selected from each selected village by using linear systematic sampling. A structured proforma was administered to 974 subjects to obtain information on disability as perceived by rural geriatric population. Visual disability was found to be the most important single preventable disability (56%). Only 33% of persons with visual disability wore spectacles. A decline in social interaction was reported. There was an urgent need to strengthen health care activities related to geriatric health care to improve the quality of life of the elderly population, including care of vision in particular.

Estimation of immunisation coverages in children by WHO 30-cluster survey.

A WHO 30-cluster survey for estimating immunisation coverages in infancy was undertaken in each of 5 districts in Tamil Nadu, strictly according to the specifications laid out in the WHO manual. The main aim was to examine whether the technique would provide estimates with the required degree of precision under Indian conditions. Of 60 sample survey estimates, 57 had the targeted degree of precision (i.e., 95% confidence limits of +/- 10 percentage points), which is in excellent agreement with expectation. The proportions of infants on whom immunisation was initiated, were very high for DPT vaccine (88-99%) and polio vaccine (85-99%); however, of those who had received the first dose, 23-39 per cent did not complete the 3-dose schedule. Estimated coverage with measles vaccine ranged from 15 to 54 per cent, while BCG coverage ranged from 53 to 97 per cent. Better health education regarding the need and correct age for immunisation, and more effective motivation at the time of administration of the first dose of DPT/polio vaccine, are recommended.

A comparison of a 30-cluster survey method used in India and a purposive method in the estimation of immunization coverages in Tamil Nadu.

A 30-cluster survey method that is employed for estimating immunization coverages by the Government of India (GOI) was compared with a Purposive method, to investigate whether the likely omission of SC/ST and backward classes in the former would lead to the reporting of higher coverages. The essential difference between the two methods is in the manner in which the first household is selected in the chosen first stage sampling units (villages). With the GOI method, it is often close to the village centre, whereas with the Purposive method it is always in the periphery or in a pocket consisting of SC/ST or backward classes. A concurrent comparison of the two methods in three districts in Tamil Nadu showed no real differences in the coverage with DPT and BCG vaccines. However, the coverage was consistently higher by the GOI method in the case of the Polio vaccine (by 1.5%, 3.1% and 5.3% in the 3 districts), and the Measles vaccine (by 4.8%, 13.3% and 13.9%); the average difference was 3.3% for Polio vaccine (p = 0.08) and 7.3% for Measles vaccine (p = 0.01).

A concurrent comparison of a WHO-recommended 30-cluster survey and a modified version of it under Indian conditions in the estimation of immunization coverages.

A concurrent comparison of the WHO 30-cluster sample survey method for estimating immunization coverages (DPT, Polio, BCG, Measles) and an Indian modification of (GOI) was undertaken in five districts in South India. The essential difference between the two methods is the manner in which the first household is selected in the chosen clusters. With the WHO method, it is chosen clusters. With the WHO method, it is chosen at random, whereas with the GOI method it is often close to the village centre. Estimates with the required degree of precision, i.e., 95% confidence limits of +/- 10 percentage points, were provided in 18 (90%) of 20 instances by the WHO method and in 19 (95%) by the GOI method, findings which are in accordance with expectation. The estimated coverages were, however, higher by the GOI method than by the WHO method in two districts, lower in one district, and in the remaining two districts there was no clear pattern. On the average, there was a suggestion that the GOI method yielded slightly higher coverages, but the differences were not statistically significant.