9 results on '"Bai, Mookambika Ramya"'
Search Results
2. Study design and methods for a randomized crossover trial substituting brown rice for white rice on diabetes risk factors in India.
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Wedick, Nicole M., Sudha, Vasudevan, Spiegelman, Donna, Bai, Mookambika Ramya, Malik, Vasanti S., Venkatachalam, Siva Sankari, Parthasarathy, Vijayalaksmi, Vaidya, Ruchi, Nagarajan, Lakshmipriya, Arumugam, Kokila, Jones, Clara, Campos, Hannia, Krishnaswamy, Kamala, Willett, Walter, Hu, Frank B., Anjana, Ranjit Mohan, and Mohan, Viswanathan
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DIABETES risk factors ,BROWN rice ,RANDOMIZED controlled trials ,WHOLE grain foods ,FOOD consumption ,TYPE 2 diabetes prevention ,COMPARATIVE studies ,CROSSOVER trials ,CULTURE ,DIET ,EXPERIMENTAL design ,CARBOHYDRATE content of food ,FOOD habits ,FOOD handling ,GLYCEMIC index ,RESEARCH methodology ,MEDICAL cooperation ,RESEARCH protocols ,TYPE 2 diabetes ,RESEARCH ,EVALUATION research ,BODY mass index - Abstract
India has the second largest number of people with diabetes in the world following China. Evidence indicates that consumption of whole grains can reduce the risk of type 2 diabetes. This article describes the study design and methods of a trial in progress evaluating the effects of substituting whole grain brown rice for polished (refined) white rice on biomarkers of diabetes risk (glucose metabolism, dyslipidemia, inflammation). This is a randomized controlled clinical trial with a crossover design conducted in Chennai, India among overweight but otherwise healthy volunteers aged 25–65 y with a body mass index ≥23 kg/m2and habitual rice consumption ≥200 g/day. The feasibility and cultural appropriateness of this type of intervention in the local environment will also be examined. If the intervention is efficacious, the findings can be incorporated into national-level policies which could include the provision of brown rice as an option or replacement for white rice in government institutions and food programs. This relatively simple dietary intervention has the potential to substantially diminish the burden of diabetes in Asia and elsewhere. [ABSTRACT FROM PUBLISHER]
- Published
- 2015
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3. Reliability and validity of a new physical activity questionnaire for India.
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Anjana, Ranjit Mohan, Sudha, Vasudevan, Lakshmipriya, Nagarajan, Subhashini, Sivasankaran, Pradeepa, Rajendra, Geetha, Loganathan, Bai, Mookambika Ramya, Gayathri, Rajagopal, Deepa, Mohan, Unnikrishnan, Ranjit, Nair Binu, Valsalakumari Sreekumaran, Kurpad, Anura V., and Mohan, Viswanathan
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ACADEMIC medical centers ,CONFIDENCE intervals ,EXERCISE ,QUESTIONNAIRES ,RELIABILITY (Personality trait) ,RESEARCH evaluation ,STATISTICS ,DATA analysis ,BODY mass index ,INTER-observer reliability ,PHYSICAL activity ,DATA analysis software ,DESCRIPTIVE statistics - Abstract
Background: Measurement of physical activity in epidemiological studies requires tools which are reliable, valid and culturally relevant. We attempted to develop a physical activity questionnaire (PAQ) that would measure physical activity in various domains over a year and which would be valid for use in adults of different age groups with varying levels of activity in urban and rural settings in low and middle income countries like India. The present paper aims to assess the reliability and validity of this new PAQ- termed the Madras Diabetes Research Foundation- Physical Activity Questionnaire (MPAQ). Methods: The MPAQ was administered by trained interviewers to 543 individuals of either gender aged 20 years and above from urban and rural areas in 10 states of India from May to August 2011, followed by a repeat administration within a month for assessing reliability. Relative validity was performed against the Global Physical Activity Questionnaire (GPAQ). Construct validity was tested by plotting time spent in sitting and moderate and vigorous physical activity (MVPA) against body-mass index (BMI) and waist circumference. Criterion validity was assessed using the triaxial accelerometer, in a separate subset of 103 individuals. Bland and Altman plots were used to assess the agreement between MPAQ and accelerometer. Results: The interclass correlation coefficients (ICC) for total energy expenditure and physical activity levels were 0.82 and 0.73 respectively, between baseline and 1st month. The ICC between GPAQ and the MPAQ was 0.40 overall. The construct validity of the MPAQ showed linear association between sitting and MVPA, and BMI and waist circumference independent of age and gender. The Spearman's correlation coefficients for sedentary activity, MVPA and overall PA for MPAQ against the accelerometer were 0.48 (95%CI-0.32-0.62), 0.44 (0.27-0.59) and 0.46 (0.29-0.60) respectively. Bland and Altman plots showed good agreement between MPAQ and accelerometer for sedentary behavior and fair agreement for MVPA. Conclusion: The MPAQ is an acceptable, reproducible and valid instrument, which captures data from multiple activity domains over the period of a year from adults of both genders and varying ages in various walks of life residing in urban and rural India. [ABSTRACT FROM AUTHOR]
- Published
- 2015
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4. Association of dietary fiber intake with serum total cholesterol and low density lipoprotein cholesterol levels in Urban Asian-Indian adults with type 2 diabetes.
- Author
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Narayan, Shreya, Lakshmipriya, Nagarajan, Vaidya, Ruchi, Bai, Mookambika Ramya, Sudha, Vasudevan, Krishnaswamy, Kamala, Unnikrishnan, Ranjit, Anjana, Ranjit Mohan, and Mohan, Viswanathan
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TYPE 2 diabetes ,DIETARY fiber ,LOW density lipoproteins ,BLOOD cholesterol ,HYPERCHOLESTEREMIA ,INDIANS (Asians) ,HEALTH - Abstract
Context: There is little data correlating dietary fibre (DF) intake and cardiovascular risk in Asian Indians with diabetes. Aim: To assess the DF intake and its association with lipid profile (total serum cholesterol and low density lipoprotein [LDL] - cholesterol levels) in urban Asian Indians with diabetes. Subjects and Methods: Dietary assessment using validated Food Frequency Questionnaire was conducted in 1191 free-living adults with known diabetes in the Chennai Urban Rural Epidemiology Study. Subjects taking medication for dyslipidemia, and those with cardiovascular disease and implausible energy intake (n = 262) were excluded, leaving 929 participants. Anthropometric and relevant biochemical parameters were measured using standardized techniques. Results: Diabetic individuals who consumed DF
median intake of DF group. The risk of hypercholesterolemia (odds ratio [OR] =1.38 [95% confidence interval [CI]: 1.02-1.85], P = 0.04), and high LDL cholesterol (OR: 1.43 [95% CI: 1.06-1.94], P = 0.02) was higher among those whose DF intake was less than the median. Serum triglycerides and high density lipoprotein cholesterol were not associated with DF intake. The main sources of DF were vegetables and legumes. Conclusion: In urban Asian Indians with diabetes, lower DF intake is positively related to total cholesterol and LDL cholesterol levels. [ABSTRACT FROM AUTHOR] - Published
- 2014
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5. Effect of Brown Rice, White Rice, and Brown Rice with Legumes on Blood Glucose and Insulin Responses in Overweight Asian Indians: A Randomized Controlled Trial.
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Mohan, Viswanathan, Spiegelman, Donna, Sudha, Vasudevan, Gayathri, Rajagopal, Hong, Biling, Praseena, Kallingal, Anjana, Ranjit Mohan, Wedick, Nicole M., Arumugam, Kokila, Malik, Vasanti, Ramachandran, Sabitha, Bai, Mookambika Ramya, Henry, Jeya Kumar, Hu, Frank B., Willett, Walter, and Krishnaswamy, Kamala
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- 2014
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6. Consumer Acceptance and Preference Study (CAPS) on Brown and Undermilled Indian Rice Varieties in Chennai, India.
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Sudha, Vasudevan, Spiegelman, Donna, Hong, Biling, Malik, Vasanti, Jones, Clara, Wedick, Nicole M., Hu, Frank B., Willett, Walter, Bai, Mookambika Ramya, Ponnalagu, Muthu Mariyammal, Arumugam, Kokila, and Mohan, Viswanathan
- Abstract
The article offers information on a study about consumer perception on rice types, such as unmilled brown and undermilled rice, among urban dwellers in Chennai, India. Participants showed an inclination to replace white rice with brown rice provided that it is inexpensive. The study also suggested that preference for white rice is still common for a majority of consumers, but proper information on health benefits of brown rice could lead them to make a switch.
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- 2013
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7. Carbohydrate profiling & glycaemic indices of selected traditional Indian foods.
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Shobana, Shanmugam, Geetha, Gunasekaran, Bai, Mookambika Ramya, Vijayalakshmi, Parthasarathy, Gayathri, Rajagopal, Lakshmipriya, Nagarajan, Unnikrishnan, Ranjit, Anjana, Ranjit Mohan, Malleshi, Nagappa Gurusidappa, Krishnaswamy, Kamala, Henry, C. J. K., Mohan, Viswanathan, and Sudha, Vasudevan
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CARBOHYDRATE content of food , *GLYCEMIC index , *CARBOHYDRATES , *CHICKPEA , *CORN breeding , *RAGI - Abstract
Background & objectives: Consumption of high glycaemic index (GI) food is associated with a high risk for diabetes. There is a felt need to understand the GI of common Indian traditional foods using standard GI protocols. The present study was aimed to analyse the carbohydrate profile of common traditional Indian food preparation and to determine their GI using standardized protocols. Methods: Twelve food preparations made of millets, wheat, maize and pulses were evaluated for nutrient composition including detailed carbohydrate profiling and tested for GI in healthy volunteers using standard methodology. Capillary blood glucose responses for the test foods containing 50 g available carbohydrates were recorded and compared to the reference food (50 g glucose). GI was calculated from the incremental area under the curve (IUAC) for the test and reference foods. Results: Available carbohydrate content of the food preparations ranged between 13.6 and 49.4 g per cent. Maize roti showed the highest total dietary fibre (7.5 g%). White chick pea ‘sundal’ showed highest resistant starch content (3.95 g%). Amongst the 12 test foods, five fell in the high GI category (finger millet balls, sorghum, pearl millet and maize roti), four in the medium GI category (sorghum idli, wheat dosa, methi roti and adai) and three in the low GI category (broken wheat upma, white peas sundal and white chick peas sundal). Interpretation & conclusions: Merely being a whole grain-based food does not qualify for a lower GI. The method of processing, food structural integrity and preparation could influence the GI. The type and quality of fibre are important than the quantity of fibre alone. Judicious planning of accompaniments using low GI legumes may favourably modify the glycaemic response to high GI foods in a meal. [ABSTRACT FROM AUTHOR]
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- 2022
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8. Even minimal polishing of an Indian parboiled brown rice variety leads to increased glycemic responses.
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Shobana, Shanmugam, Lakshmipriya, Nagarajan, RamyaBai, Mookambika, Gayathri, Rajagopal, Ruchi, Vaidya, Sudha, Vasudevan, Malleshi, Nagappa G., Krishnaswamy, Kamala, Henry, C. J. K., Anjana, Ranjit Mohan, Unnikrishnan, Ranjit, Mohan, Viswanathan, and Bai, Mookambika Ramya
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BROWN rice , *GLYCEMIC index , *CARBOHYDRATE content of food , *INSULIN , *HYPOGLYCEMIC agents , *BLOOD sugar , *FOOD handling , *RICE - Abstract
Background and Objectives: To evaluate the effect of polishing on the glycemic properties of Indian parboiled brown rice.Methods and Study Design: We evaluated the effect of different degrees of polishing on the glycemic and insulinemic responses of Bapatla (BPT-5204), Indian parboiled Indica rice variety. Brown rice (BR), under milled rice (UMR) and white rice (WR) with 2.3% and 9.7% degree of polishing (DOP), respectively, were prepared and evaluated for the glycemic properties. Incremental Area Under the Curves (IAUC) were estimated for both glycemic index (GI) in 12 healthy participants (6 men, 6 women) and 24 hr glycemic response studies in 13 overweight participants (5 men, 8 women) using continuous glucose monitoring (CGM) system with ≈2000 kcal/day rice diets. Differences in pre and post meal insulin (Δ) were assessed.Results: The GI of WR (GI=79.6) and UMR (GI=73) were significantly higher than BR (GI=57.6) (p<0.01). Similar results were obtained for 24 hr glycemic responses [IAUC: WR=58.4, UMR=55.5, BR=34.7 mg*5 min/dL, respectively]. The Δ Insulin responses were lower with BR meals compared with UMR and WR (p=0.025; p=0.003).Conclusions: Both UMR and WR had a high GI while BR had a medium GI. This could have influenced the 24 h glycaemic and insulinemic responses of BR which had the lowest responses as compared with UMR and WR, and the latter two had similar higher responses. Thus any degree of polishing leads to higher glycaemic responses. [ABSTRACT FROM AUTHOR]- Published
- 2017
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9. Slowing the diabetes epidemic in the World Health Organization South-East Asia Region: the role of diet and physical activity.
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Mohan V, Ruchi V, Gayathri R, Bai MR, Sudha V, Anjana RM, and Pradeepa R
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- Asia, Southeastern epidemiology, Diabetes Mellitus prevention & control, Dietary Carbohydrates adverse effects, Dietary Fats adverse effects, Humans, Life Style, World Health Organization, Diabetes Mellitus epidemiology, Diet, Exercise
- Abstract
The nutrition transition occurring in the World Health Organization South-East Asia Region, as a result of rapid urbanization and economic development, has perhaps made this region one of the epicentres of the diabetes epidemic. This review attempts to evaluate the role of diet and physical inactivity in the South-East Asia Region in promoting this epidemic and points to strategies to slow it down by lifestyle modification. The emerging new food-production technologies and supermarkets have made energy-dense foods more easily available. This includes refined carbohydrate foods like those with added sugars, and refined grains and unhealthy fats. In addition, increased availability of modern technology and motorized transport has led to decreased physical activity. South Asian diets tend to be based on high-carbohydrate foods, with a predominance of refined grains. All of these accentuate the risk of diabetes in people of this region, who already have a unique "south Asian phenotype". However, there is increasing evidence that altering diet by replacing refined cereals like white rice with whole grains (e.g. brown rice) and increasing physical activity can help to prevent diabetes in high-risk individuals. An urgent, concerted effort is now needed to improve diet quality and encourage physical activity, by introducing changes in policies related to food and built environments, and improving health systems to tackle noncommunicable diseases like diabetes.
- Published
- 2016
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