Appropriate anthropometric indices to identify cardiometabolic risk in South Asians.

Background: South Asians show an elevated cardiometabolic risk compared to Caucasians. They are clinically metabolically obese but are considered normal weight based on current international cut-off levels of several anthropometric indices. This study has two main objectives: (i) to predict the most sensitive anthropometric measures for commonly studied cardiometabolic risk factors, and (ii) to determine optimal cut-off levels of each of the anthropometric indices in relation to these cardiometabolic risk factors in South Asians. Methods: The study was conducted on a random sample of 1178 adults of 20–80 years of age from an urban population of eastern India. Obesity, as evaluated by standard anthropometric indices of BMI (body mass index), WC (waist circumference), WHpR (waist-to-hip ratio) and WHtR (waist-to-height ratio), was individually correlated with cardiometabolic risk factors. Receiver operating characteristic (ROC) curve analyses were performed which includes: (i) the area under the receiver operating characteristic curve (AUROC) analysis to assess the predictive validity of each cardiometabolic risk factor; and (ii) Youden index to determine optimal cut-off levels of each of the anthropometric indices. Results: Overall, AUROC values for WHtR were the highest, but showed variations within the sexes for each of the cardiometabolic risk factors studied. Further, WHpR cut-offs were higher for men (0.93–0.95) than women (0.85–0.88). WC cut-offs were 84.5–89.5 cm in men and 77.5–82.0 cm in women. For both sexes the optimal WHtR cut-off value was 0.51–0.55. The optimal BMI cut-offs were 23.4–24.2 kg/m2 in men and 23.6–25.3 kg/m2 in women. Conclusion: WHtR may be a better anthropometric marker of cardiometabolic risks in South Asian adults than BMI, WC or WHpR.

Smoking and cardiovascular health: A review of the epidemiology, pathogenesis, prevention and control of tobacco.

The causal associations between cigarette smoking and human diseases are irrefutable. In this review, we focus on the epidemiological pattern of cigarette smoking on cardiovascular risk, the underlying mechanistic process of such a causal link, how to prevent premature cardiovascular morbidity and mortality particularly through smoking cessation, and the health benefits of such cessation measures. Finally, we conclude our review summarizing a few of the proven evidence-based tobacco control strategies and policies from across the globe. We did not conduct a systematic review but followed a similar structure. We abstracted the most relevant published literature on the electronic databases, namely, PubMed, Embase and the Cochrane Library applying specific search terms. We also searched gray literature and consulted experts in the field for cross-references. Smoking has been estimated to cause about 11% of all deaths due to cardiovascular disease. Smoking contributes to the pathogenesis of coronary artery disease and sudden death through a variety of mechanisms, including the promotion of atherosclerosis, the triggering of coronary thrombosis, coronary artery spasm, and cardiac arrhythmias, and through reduced capacity of the blood to deliver oxygen. Smoking cessation also confers substantial benefits on people with serious heart disease. Smoking cessation should be viewed as therapeutic rather than preventive intervention, similar to treating asymptomatic hypertension. Smoking cessation is highly cost-effective relative to other frequently used medical and surgical interventions. Tobacco related illnesses are important public health issues worldwide. It has been estimated that there are1.1 billion smokers worldwide and 250 million of them live in India.

Demographic and socio-economic determinants of post-neonatal deaths in a special project area of rural northern India.

The demographic and socio-economic determinants of post-neonatal deaths (n = 475) in a special project area of rural northern India (Ballabgarh) were ascertained from 1991 to 1999 using the electronic database system of the project area for data extraction, and were compared with the eligible living children of the same age using a matched population-based case-control study design. Similar determinants were also ascertained in neonatal deaths (n = 212) using the same study design. After controlling for the potential confounders using conditional logistic regression analyses, lower caste (a proxy measure for low socio-economic conditions in rural India) was found to be significantly associated with higher post-neonatal deaths (OR = 2.21). Higher maternal age (>30 years) and fathers' lower educational levels were significantly associated with higher neonatal deaths, in addition to higher post-neonatal deaths in the same area.