Panniyammakal Jeemon

Methods for establishing a surveillance system for cardiovascular diseases in Indian industrial populations

OBJECTIVE To establish a surveillance network for cardiovascular diseases (CVD) risk factors in industrial settings and estimate the risk factor burden using standardized tools. METHODS We conducted a baseline cross-sectional survey (as part of a CVD surveillance programme) of industrial populations from 10 companies across India, situated in close proximity to medical colleges that served as study centres. The study subjects were employees (selected by age and sex stratified random sampling) and their family members. Information on behavioural, clinical and biochemical determinants was obtained through standardized methods (questionnaires, clinical measurements and biochemical analysis). Data collation and analyses were done at the national coordinating centre. FINDINGS We report the prevalence of CVD risk factors among individuals aged 20-69 years (n = 19 973 for the questionnaire survey, n = 10 442 for biochemical investigations); mean age was 40 years. The overall prevalence of most risk factors was high, with 50.9% of men and 51.9% of women being overweight, central obesity was observed among 30.9% of men and 32.8% of women, and 40.2% of men and 14.9% of women reported current tobacco use. Self-reported prevalence of diabetes (5.3%) and hypertension (10.9%) was lower than when measured clinically and biochemically (10.1% and 27.7%, respectively). There was marked heterogeneity in the prevalence of risk factors among the study centres. CONCLUSION There is a high burden of CVD risk factors among industrial populations across India. The surveillance system can be used as a model for replication in India as well as other developing countries.

Educational status and cardiovascular risk profile in Indians

The inverse graded relationship of education and risk factors of coronary heart disease (CHD) has been reported from Western populations. To examine whether risk factors of CHD are predicted by level of education and influenced by the level of urbanization in Indian industrial populations, a cross-sectional survey (n = 19,973; response rate, 87.6%) was carried out among employees and their family members in 10 medium-to-large industries in highly urban, urban, and periurban regions of India. Information on behavioral, clinical, and biochemical risk factors of CHD was obtained through standardized instruments, and educational status was assessed in terms of the highest educational level attained. Data from 19,969 individuals were used for analysis. Tobacco use and hypertension were significantly more prevalent in the low- (56.6% and 33.8%, respectively) compared with the high-education group (12.5% and 22.7%, respectively; P < 0.001). However, dyslipidemia prevalence was significantly higher in the high-education group (27.1% as compared with 16.9% in the lowest-education group; P < 0.01). When stratified by the level of urbanization, industrial populations located in highly urbanized centers were observed to have an inverse graded relationship (i.e., higher-education groups had lower prevalence) for tobacco use, hypertension, diabetes, and overweight, whereas in less-urbanized locations, we found such a relationship only for tobacco use and hypertension. This study indicates the growing vulnerability of lower socioeconomic groups to CHD. Preventive strategies to reduce major CHD risk factors should focus on effectively addressing these social disparities.

Cardiovascular Diseases in India Current Epidemiology and Future Directions

Cardiovascular diseases (CVDs) have now become the leading cause of mortality in India. A quarter of all mortality is attributable to CVD. Ischemic heart disease and stroke are the predominant causes and are responsible for >80% of CVD deaths. The Global Burden of Disease study estimate of age-standardized CVD death rate of 272 per 100 000 population in India is higher than the global average of 235 per 100 000 population. Some aspects of the CVD epidemic in India are particular causes of concern, including its accelerated buildup, the early age of disease onset in the population, and the high case fatality rate. In India, the epidemiological transition from predominantly infectious disease conditions to noncommunicable diseases has occurred over a rather brief period of time. Premature mortality in terms of years of life lost because of CVD in India increased by 59%, from 23.2 million (1990) to 37 million (2010). Despite wide heterogeneity in the prevalence of cardiovascular risk factors across different regions, CVD has emerged as the leading cause of death in all parts of India, including poorer states and rural areas. The progression of the epidemic is characterized by the reversal of socioeconomic gradients; tobacco use and low fruit and vegetable intake have become more prevalent among those from lower socioeconomic backgrounds. In addition, individuals from lower socioeconomic backgrounds frequently do not receive optimal therapy, leading to poorer outcomes. Countering the epidemic requires the development of strategies such as the formulation and effective implementation of evidence-based policy, reinforcement of health systems, and emphasis on prevention, early detection, and treatment with the use of both conventional and innovative techniques. Several ongoing community-based studies are testing these strategies.

Impact of a Worksite Intervention Program on Cardiovascular Risk Factors: A Demonstration Project in an Indian Industrial Population

Cardiovascular diseases (CVDs) are the leading cause of death in many regions of the world ([1][1]). Elevated blood pressure, blood sugar, serum cholesterol, body mass index, and tobacco use, all established risk factors for CVD, have a direct and linear relationship with CVD ([2–7][2]). All of

Long-Term and Ultra Long–Term Blood Pressure Variability During Follow-Up and Mortality in 14 522 Patients With Hypertension

Recent evidence indicates that long-term visit-to-visit blood pressure variability (BPV) may be an independent cardiovascular risk predictor. The implication of this variability in hypertension clinical practice is unclear. BPV as average real variability (ARV) was calculated in 14 522 treated patients with hypertension in 4 time frames: year 1 (Y1), years 2 to 5 (Y2–5), years 5 to 10 (Y5–10), and years >10 (Y10+) from first clinic visit. Cox proportional hazards models for cause-specific mortality were used in each time frame separately for long-term BPV, across time frames based on ultra long–term BPV, and within each time frame stratified by mean BP. ARV in systolic blood pressure (SBP), termed ARVSBP, was higher in Y1 (21.3±11.9 mm Hg) in contrast to Y2–5 (17.7±9.9 mm Hg), Y5–10 (17.4±9.6 mm Hg), and Y10+ (16.8±8.5 mm Hg). In all time frames, ARVSBP was higher in women (P<0.01) and in older age (P<0.001), chronic kidney disease (P<0.01), and prevalent cardiovascular disease (P<0.01). Higher long-term and ultra long–term BPV values were associated with increased mortality (all-cause, cardiovascular, and noncardiovascular mortality; P for trend, <0.001). This relationship was also evident in subgroups with mean SBP<140 mm Hg in all time frames. Monitoring BPV in clinical practice may facilitate risk reduction strategies by identifying treated hypertensive individuals at high risk, especially those with BP within the normal range.

Social determinants of cardiovascular disease outcomes in Indians

Cardiovascular diseases (CVD) are the leading cause of death and disability in both developed and developing countries. In developed countries socio-economic mortality differentials have been studied extensively showing that the low socio-economic group suffers the highest mortality. As the epidemiological transition is taking place against a background of economic globalization, CVD risk factors among the urban poor and middle class are rapidly increasing in India. Recent evidences from India also suggest reversal of social gradient with excess burden of CVD morbidity in the low socio-economic group. Understanding the social determinants of environmental and behavioural exposures, in determining the risk factors for cardiovascular disease is an important challenge for public health professionals as well as communities. Socio-economic disadvantage is not simply a proxy for poor cardiovascular risk factor status, but also an indication of the likely trajectory that an individual or a community may follow in the course of their life. The paucity of intervention research seeking to address the role of social determinants in shaping lifestyle practices among individuals in culturally and socially diverse population groups within India is definitely a measure of inadequacy in public health research. This review article provides an overview of the role of social determinants of CVD and its possible conceptual pathways with special focus on acute coronary syndrome (ACS) outcomes among Indians.

Differences in the prevalence of metabolic syndrome in urban and rural India: a problem of urbanization:

*Department of Cardiology, All India Institute of Medical Sciences, New Delhi 110029, India †Department of Endocrine Neoplasia and Hormonal Disorders, University of Texas MD Anderson Cancer Center, Houston, TX, USA ‡Initiative for Cardiovascular Health Research in Developing Countries & Division of Hospital Medicine, Hackley Hospital, Muskegon, MI, USA §Division of Non-communicable Diseases, Indian Council of Medical Research, New Delhi 110029, India

Prevalence and determinants of diabetes mellitus in the Indian industrial population

Aim   To highlight the regional difference in the prevalence of diabetes mellitus (DM) and to explore determinants in variability in the Indian industrial population.

Status of epidemiology in the WHO South-East Asia region: burden of disease, determinants of health and epidemiological research, workforce and training capacity

BACKGROUND The South-East Asia region (SEAR) accounts for one-quarter of the worlds population, 40% of the global poor and ∼30% of the global disease burden, with a disproportionately large share of tuberculosis (35%), injuries (30%), maternal (33%) and <5-year-old mortality (30%). In this article, we describe the disease burden and status of epidemiological research and capacity in the SEAR to understand, analyse and develop capacity in response to the diverse burdens of diseases in the region. METHODS Data on morbidity, mortality, risk factors, social determinants, research capacity, health education, workforce and systems in the SEAR were obtained using global data on burden of disease, peer-reviewed journals, World Health Organization (WHO) technical and advisory reports, and where available, validated country reports and key informants from the region. RESULTS SEAR countries are afflicted with a triple burden of disease-infectious diseases, non-communicable diseases and injuries. Of the seven WHO regions, SEAR countries account for the highest proportion of global mortality (26%) and due to relatively younger ages at death, the second highest percentage of total years of life lost (30%). The SEAR exceeds the global average annual mortality rate for all three broad cause groupings-communicable, maternal, perinatal and nutritional conditions (334 vs 230 per 100 000); non-communicable diseases (676 vs 573 per 100 000); and injuries (101 vs 78 per 100 000). Poverty, education and other social determinants of health are strongly linked to inequities in health among SEAR countries and within socio-economic subgroups. India, Thailand and Bangladesh produce two-thirds of epidemiology publications in the region. Significant efforts to increase health workforce capacity, research and training have been undertaken in the region, yet considerable heterogeneity in resources and capacity remains. CONCLUSIONS Health systems, statistics and surveillance programmes must respond to the demographic, economic and epidemiological transitions that define the current disease burden and risk profile of SEAR populations. Inequities in health must be critically analysed, documented and addressed through multi-sectoral approaches. There is a critical need to improve public health intelligence by building epidemiological capacity in the region.

Clinical presentation, management, in-hospital and 90-day outcomes of heart failure patients in Trivandrum, Kerala, India: the Trivandrum Heart Failure Registry

To evaluate the presentation, management, and outcomes of patients hospitalized for heart failure (HF) in Trivandrum, India.