Few studies have examined dietary patterns in relation to cardiovascular risk factors in Asian populations, particularly in India. The present study was undertaken to explore dietary patterns in a general urban Bengalee population of women in West Bengal, India, and their association with cardiovascular risk factors. We performed a cross-sectional study of 701 women (aged 35 years and above) selected by cluster sampling from twelve different wards of the Kolkata Municipal Corporation (Kolkata, India). The following three major dietary patterns were identified: the 'vegetable, fruits and pulses' pattern (characterised by higher intakes of dark-yellow and green leafy vegetables, sweets, fruits, pulses, nuts, poultry and eggs, and lower intake of mustard oil); the 'hydrogenated and saturated fat and vegetable oil' pattern (characterised by higher intakes of butter, hydrogenated oil, ghee, vegetable oil, mustard oil, condiments, sweets, fish, high-fat dairy and refined grain); the 'red meat and high-fat dairy' pattern (characterised by higher intakes of red meat, high-fat dairy products, whole grain, high-energy drinks and condiments, and lower intakes of fish, refined grain and low-fat dairy products). The vegetable, fruits and pulses pattern was inversely associated with serum total cholesterol (TC), LDL-cholesterol and non-HDL-cholesterol (HDL-C) concentrations (P, 0·05 for all). The hydrogenated and saturated fat and vegetable oil pattern was positively associated with BMI, waist circumference (WC) and HDL-C concentration (P,0·05 for all). In this Bengalee population, these three major dietary patterns were observed, and the dietary patterns were independently associated with BMI, WC and serum TC concentrations in women.

Background: Recent research has focused on the use of inflammatory biomarkers in the prediction of cardiovascular risk. However, information is scant regarding the association between these inflammatory markers with other cardiovascular risk factors in Asian Indians, particularly in women.

BackgroundPrevalence of metabolic syndrome (MS) and vitamin D deficiency was reported among postmenopausal women (PMW) in India. However, no report is available regarding the association of MS and 25-hydroxyvitamin D [25(OH)D] among PMW in India. This study aimed to find out the prevalence of MS and 25(OH)D status as well as their association among rural PMW of West Bengal, India.Materials and methodsThis cross-sectional study was conducted among 222 randomly selected rural PMW in Singur Block, West Bengal, India. Serum 25(OH)D, Blood pressure (BP), waist circumference (WC), fasting blood glucose (FBG), triglycerides (TG) and high density lipoprotein cholesterol (HDL-C) were measured using standard procedures. MS was defined as per International Diabetes Federation, 2005 (for Asian-Indians) criteria. Statistical tests were done using SPSS software.ResultsPrevalence of metabolic syndrome was 46%. 51% and 19% PMW were vitamin D insufficient and deficient, respectively. 22% and 53% women having MS were vitamin D insufficient and deficient, respectively. Among the PMW, 21% and 47% with WC≥80cm; 22% and 62% with FBG≥110mg/dl; 21% and 54% with TG≥150mg/dl; 23% and 51% with HDL-C<50mg/dl, 15% and 55% with BP≥130/85mm of Hg were vitamin D insufficient and deficient, respectively. Significant statistical association between FBG and 25(OH)D status existed (p = 0.01). Significant positive correlation between WC and 25(OH)D level (p = 0.004) and significant negative correlation between FBG and 25(OH)D level observed (p = 0.02). WC was the only statistically significant predictor of the dependent variable. Odds of non-sufficient 25(OH)D level increased with decrease in WC.ConclusionHigh prevalence of MS as well as vitamin D insufficiency and deficiency existed among PMW of Singur block, West Bengal, India. 25(OH)D had significant inverse and direct relationship with FBG and WC. Low 25(OH)D may be one of the potential risk factors for developing MS in PMW or vice-versa.

This study was conducted to profile nutritional risk factors in a population of community-dwelling older adults in Kolkata, India. We applied the short version of the Mini Nutritional Assessment-Short Form (MNA-SF) questionnaire among 500 participants (65 to 75 years)--263 males and 237 females. The prevalence of undernutrition was 8.8% in females and 4.9% in males; a risk of undernutrition was found in 24.5% females and 17.5% males. All those with undernutrition or at-risk were studied further using the full version of the MNA. Data regarding education, occupation, socioeconomic status, and food intake pattern were also collected. Females had a significantly lower (P < 0.01) education level than males; 73.4% males were financially independent, whereas 72.7% females were financially dependent on others. Moderate appetite loss was commonly found (64.9%), and in 24.3% of the participants appetite loss was severe. Digestive and chewing problems were present in 32.4% and 21.6% of study participants, respectively. The rate of psychological stress and/or acute disease 3 months prior to study was 47%, and 62.2% of the study population were taking 3 or more medicines per day. Weight loss of greater than 3 kg and of 1 to 3 kg during past 3 months of the study period was observed in 27% and 32.5% of the population, respectively. Undernourished individuals were also found to consume fewer protein-rich foods. We hypothesize that low education levels and lack of financial independence were the strongest underlying causes of high undernutrition in this population, particularly, among females.

Hypertension is a major public health problem worldwide. However, limited information is available regarding the risk factors for hypertension in postmenopausal women, particularly in urban populations in developing countries such as India. To investigate whether adiposity measures, serum lipids and lipoproteins as well as fasting plasma glucose can predict the risk of hypertension in a population based sample of postmenopausal women in Kolkata, India, we conducted a cross-sectional study of 415 postmenopausal women (aged 40 to 85), selected by cluster sampling from 12 wards of Kolkata. After multivariate adjustment, apolipoprotein B (apo B) and waist circumference (WC) showed the strongest association with hypertension. The risk of hypertension in the highest tertile compared with the lowest tertile was 2.57 (95% confidence interval = 1.00-6.61) for apo B and 2.55 (95% confidence interval = 1.07-6.06) for WC. Apo B and WC were the strongest risk factors for predicting hypertension among postmenopausal women in Kolkata.