Refine your search
Collections
Co-Authors
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Nagalla, Balakrishna
- Food Safety in Domestic Refrigerators - A Mixed Methods Study to Identify Key Messages for Promoting Safe Storage Practices among Households
Abstract Views :285 |
PDF Views:0
Authors
Ramya Yella
1,
R. Naveen Kumar
2,
Sudershan R. Vemula
2,
Balakrishna Nagalla
3,
SubbaRao M. Gavaravarapu
4
Affiliations
1 National Institute of Nutrition, Jamai-Osmania P.O, Hyderabad - 500 007 Telangana State, IN
2 Food and Drug Toxicology Research Centre, National Institute of Nutrition, Jamai-Osmania P.O, Hyderabad - 500 007, Telangana State, IN
3 Division of Biostatistics National Institute of Nutrition, Jamai-Osmania P.O, Hyderabad - 500 007, Telangana State, IN
4 Extension and Training Division, National Institute of Nutrition, Jamai-Osmania P.O, Hyderabad - 500 007, Telangana State, IN
1 National Institute of Nutrition, Jamai-Osmania P.O, Hyderabad - 500 007 Telangana State, IN
2 Food and Drug Toxicology Research Centre, National Institute of Nutrition, Jamai-Osmania P.O, Hyderabad - 500 007, Telangana State, IN
3 Division of Biostatistics National Institute of Nutrition, Jamai-Osmania P.O, Hyderabad - 500 007, Telangana State, IN
4 Extension and Training Division, National Institute of Nutrition, Jamai-Osmania P.O, Hyderabad - 500 007, Telangana State, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 53, No 1 (2016), Pagination: 1-14Abstract
A significant proportion of foodborne diseases arise from practices in home kitchens. Not only how food is handled but also how it is stored determines its safety. The current study aimed to assess knowledge and practices of households related to storage of foods in refrigerator and identify key messages to promote safe storage practices. A cross-sectional study employing mixed methods (combination of quantitative and qualitative methods) was carried out among households who owned refrigerators. Quantitative data on knowledge and practices were collected from women (n=120) who were responsible for cooking and storing foods at household level using a pretested questionnaire and qualitative data on status of the refrigerators was collected using non-participant observation technique. Leftover foods stored in refrigerators for > 24h were collected from a sub-sample (n=18) to assess the presence of food pathogens. Over 34.2% preserved leftover non-vegetarian foods at room temperature. About 65% stored leftover foods in refrigerators for >24h. Only 10% cleaned the refrigerator every week and about 20% had knowledge of the working temperature of the refrigerators. There was a significant association (P<0.05) between education and knowledge as well as practices among households. Salmonella spp. (44.4%), E. coli (27.7%), fecal coliforms (11.1%) and S. aureus (5.5%) were detected in refrigerated leftover foods. Observational studies revealed some risky storage behaviors. Most of the households are not aware of the safe storage and refrigeration practices. The detected foodborne pathogens in refrigerated leftover food samples indicate a potential hazard in refrigerated foods. The study identified five key messages for food safety communication.Keywords
Refrigeration, Food Safety, Practices, Knowledge, Key Messages.
References
- World Health Organisation. 2006 - Food Safety and foodborne diseases. Fact Sheet No. 237.Availablefromhttp://www.who.int/mediacentre/factsheets/fs237/en/index.html [Accessed on 5 June 2013].
- Gavaravarapu, S.M., Smith, K.C. and Rima, R.N. A case for refining the WHO Global Strategy on Food Safety: perspectives from India. Lancet Glob. Health., 2013, 1, 254-255.
- Scott, E. Foodborne disease and other hygiene issues in the home. J. Appl. Bacteriol., 1996, 80, 5-9.
- Bryan, F.L. Risks of practices, procedures and processes that lead to outbreaks of foodborne diseases. J. Fd. Prot., 1988, 51, 663–673.
- Scott, E., Bloomfield. S.F. and Barlow, C.G. An investigation of microbial contamination in the home. J. Hygiene. 1982, 89, 279–293.
- Medeiros, C.L., Hillers, N.V., Bergmann, V., Kendall, P. and Schroeder, M. Food safety education: What should we be teaching to consumers? J. Nutr. Edu., 2001, 33, 108–113.
- Polasa, K., Sudershan, R.V., Subba Rao, G.M., Rao, M.V.V., Rao, P. and Sivakumar, B. KABP study on food and drug safety in India - A report. Hyderabad: Food and Drug Toxicology Research Centre, National Institute of Nutrition, 2006.
- World Health Organization. Five keys to safer food manual. Geneva: WHO. 2006. Available at: http://www.who.int/foodsafety/publications/5keysmanual/en/ [Accessed on 18th April 2015]
- Kennedy, J., Jackson, V., Blair, I.S, McDowell, D.A., Cowan, C. and Bolton, D.J. Food safety knowledge of respondents and the microbiological and temperature status of their refrigerators. J. Fd. Prot., 2005, 68, 1421-1430.
- Nthenge, K.A., Chen, C.F. and Godwin, L.S. Occurrence of Listeria and Entero bacteriaceae in domestic refrigerators. J. Fd. Prot., 2008, 71, 608-612.
- Gettings, A.M. and Kiernan, E.N. Practices and perceptions of food safety among seniors who prepare meals at home. J. Nutr. Edu., 2001, 33, 148-154.
- Gavaravarapu, S.M. and Nair, K.M. From farm to plate and beyond – A culture & context specific perspective for food safety. Ind. J. Med. Res., 2015, 141, 377-379.
- Jay, S.L., Comar and Govenlock, D.L. A National Australian food safety telephone survey. J. Fd. Prot., 1999, 62, 921-928.
- Marklinder, I.M., Lindblad, M., Eriksson, L.M., Finnson, A.M. and Lindqvist, R. Home storage temperatures and consumer handling of refrigerated foods in Sweden. J. Fd. Prot., 2004, 67, 2570-2577.
- Towns, E.R., Cullen, W.R., Memken, A.J. and Nnakwe, E.N. Food safety-related refrigeration and freezer practices and attitudes of consumers in Peoria and surrounding countries. J. Fd. Prot., 2006, 69, 1640-1645.
- FSIC (food Safety Information Council). Food safety tips – fruits and vegetables. Available at: http://www.foodsafety.asn.au/resources/fruit-and-vegetables/ (Accessed on 29th November 2015)
- Mitakakis, T.Z., Sinclair, M.I., Fairley, C.K., Lightbody, P.K., Leder, K. and Hellard, M.E. Food safety in family homes in Melbourne, Australia. J. Fd. Prot., 2004, 67, 818-822.
- Resting Metabolic Rate of Junior National Weightlifters in India:Development and Validation of Prediction Models
Abstract Views :306 |
PDF Views:1
Authors
Keren Susan Cherian
1,
Ashok Sainoji
1,
Prem Raj Dundigalla
1,
Balakrishna Nagalla
2,
Venkata Ramana Yagnambhatt
1
Affiliations
1 Department of Work Physiology and Sports Nutrition, Indian Council of Medical Research, Ministry of Health and Family Welfare, Government of India, Jamai-Osmania, Hyderabad, Telangana-500 007, IN
2 Biostatistics Division, National Institute of Nutrition, Indian Council of Medical Research, Ministry of Health and Family Welfare, Government of India, Jamai-Osmania, Hyderabad, Telangana-500 007, IN
1 Department of Work Physiology and Sports Nutrition, Indian Council of Medical Research, Ministry of Health and Family Welfare, Government of India, Jamai-Osmania, Hyderabad, Telangana-500 007, IN
2 Biostatistics Division, National Institute of Nutrition, Indian Council of Medical Research, Ministry of Health and Family Welfare, Government of India, Jamai-Osmania, Hyderabad, Telangana-500 007, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 55, No 3 (2018), Pagination: 278-290Abstract
Weightlifters involve in intense strength and resistance training, thus calorie adequacy is a nutritional concern for them. Determining Resting Metabolic rate (RMR) is important to assess energy needs and there is limited scientific evidence in this area. Thus, this study aims to document physical characteristics and RMR of Indian junior weightlifters. It also attempts to identify suitable RMR prediction equations by developing new equations and comparing measured with predicted RMR from seven equations already existing world-wide. In this cross-sectional observation study, twenty one Indian junior weightlifters (Boys = 9; Girls = 12) were assessed for body composition (skinfold technique) and RMR using indirect calorimetry. Regression models for RMR were developed and measured RMR was compared with predicted RMR using paired samples t-test. The 24-hour RMR showed significant (P<0.01) gender differences (Boys = 1675 ± 111.7; Girls = 1425 ± 93.4), whereas, RMR per unit fat-free mass and body mass were similar across gender. The simple equation developed using body mass (RMR = 1206 + 13 × Body Mass (Kg) – 227.7 × Gender; R2 = 0.872; SEE = 60.604) showed good agreement with measured RMR. Out of seven existing RMR models, the equation of ten Haaf and Weijs (2014) showed better predictability. In conclusion, fat-free mass caused a major variation in RMR. Considering the limited scientific evidence, prediction equations newly developed and RMR equation of ten Haaf and Weijs (2014) can be used for periodical monitoring of RMR.Keywords
Basal Metabolic Rate, Energy Expenditure, Body Composition, Indirect Calorimetry, Strength Athletes.References
- Wong, J.E., Poh, B.K., Nik Shanita, S., Izham, M.M., Chan, K.Q., Tai, M.D. et al. Predicting basal metabolic rates in Malaysian adult elite athletes. Singapore Med. J., 2012, 53(11), 744.
- Bass, S. and Inge, K. Nutrition for Special populations: Children and Young Athletes. Clinical Sports Nutrition; Burke, L.M., Deakin, V., Eds. 2006, 589-632.
- Meyer, F., O’Connor, H. and Shirreffs, S.M. Nutrition for the young athlete. J. Sports Sci. 2007, 25 (S1), S73-S82.
- Shetty, P. Energy requirements of adults: an update on basal metabolic rates (BMRs) and physical activity levels (PALs). Eur. J. Clin. Nutr. 1996, 50(1), S11-S23.
- Cunningham, J.J. A reanalysis of the factors influencing basal metabolic rate in normal adults. Am. J. Clin. Nutr. 1980, 33(11), 2372-4.
- Manore, M. and Thompson, J. Energy requirements of the athlete: assessment and evidence of energy efficiency. Clin. Sports Nutr. 2006, 3, 113-134.
- Ribeyre, J., Fellmann, N., Montaurier, C., Delaître, M., Vernet, J. and Coudert, J. et al. Daily energy expenditure and its main components as measured by whole-body indirect calorimetry in athletic and non-athletic adolescents. Br. J. Nutr. 20008, 3(4), 355-362.
- Burke, L., Read, R. and Gollan, R. Australian Rules football: an anthropometric study of participants. Br. J. Sports Med., 1985, 19(2), 100-102.
- Ramana, Y.V. Energy requirements of Indian athletes in various sports. Br. J. Sports Med., 2010, 44(Suppl 1), i40-i.
- Slater, G. and Phillips, S.M. Nutrition guidelines for strength sports: sprinting, weightlifting, throwing events, and bodybuilding. J. Sports Sci., 2011, 29(sup1), S67-S77.
- Burke, L.M., Slater, G., Broad, E.M., Haukka, J., Modulon, S. and Hopkins, W.G. Eating patterns and meal frequency of elite Australian athletes. Int. J. Sport Nutr. Exerc. Metab., 2003, 13(4), 521-538.
- Heymsfield, S.B., Chirachariyavej, T., Rhyu, I.J., Roongpisuthipong, C., Heo, M. and Pietrobelli, A. Differences between brain mass and body weight scaling to height: potential mechanism of reduced mass-specific resting energy expenditure of taller adults. J. Appl. Physiol., 2009, 106(1), 40-48.
- Henry, C. Basal metabolic rate studies in humans: measurement and development of new equations. Public Health Nutr. 2005, 8(7a), 1133-1152.
- Schofield, W. Predicting basal metabolic rate, new standards and review of previous work. Human nutrition Clinical nutrition. 1985, 39, 5-41.
- Rao, B.N. Nutrient requirement and safe dietary intake for Indians. Bull.Nutr. Found.Ind., 2010, 31(1).
- De Lorenzo, A., Bertini, I., Candeloro, N. and Piccinelli, R. A new predictive equation to calculate resting metabolic rate in athletes. J. Sports Med. Phys. Fitness., 1999, 39(3), 213.
- ten Haaf, T. and Weijs, P.J. Resting energy expenditure prediction in recreational athletes of 18–35 years: confirmation of Cunningham equation and an improved weight-based alternative. PloS one. 2014, 9(10), e108460.
- Durnin, J. and Rahaman, M.M. The assessment of the amount of fat in the human body from measurements of skinfold thickness. Br. J. Nutr., 1967, 21(03), 681-689.
- Siri, W.E. The gross composition of the body. Adv. Biol. Med. Phys., 1956, 4(239-279), 513.
- Cherian, K.S., Shahkar, F., Sainoji, A., Balakrishna, N. and Yagnambhatt, V.R. Resting metabolic rate of Indian Junior Soccer players: Testing agreement between measured versus selected predictive equations. Am. J. Hum. Biol., 2017.
- Storey, A. and Smith, H.K. Unique aspects of competitive weightlifting. Sports Med. 2012, 42(9), 769-790.
- Fry, A.C., Ciroslan, D., Fry, M.D. and LeRoux, C.D. Anthropometric and performance variables discriminating elite American junior men weightlifters. J. Strength Cond. Res., 2006, 20(4), 861.
- Aristizabal, J., Freidenreich, D., Volk, B., Kupchak, B., Saenz, C. and Maresh, C. et al. Effect of resistance training on resting metabolic rate and its estimation by a dual-energy X-ray absorptiometry metabolic map. Eur. J. Clin. Nutr., 2015, 69(7), 831.
- Brechue, W.F. and Abe, T. The role of FFM accumulation and skeletal muscle architecture in powerlifting performance. Eur. J. Appl. Physiol., 2002, 86(4), 327-336.
- Broeder, C.E., Burrhus, K.A., Svanevik, L.S. and Wilmore, J.H. The effects of either high-intensity resistance or endurance training on resting metabolic rate. Am. J. Clin. Nutr., 1992, 55(4), 802-810.
- Lemmer, J.T., Ivey, F.M., Ryan, A.S., Martel, G.F., Hurlbut, D.E. and Metter, J.E. et al. Effect of strength training on resting metabolic rate and physical activity: age and gender comparisons. Med. Sci. Sports Exerc., 2001, 3(4), 532-541.
- Koshimizu, T., Matsushima, Y., Yokota, Y., Yanagisawa, K., Nagai, S. and Okamura, K. et al. Basal metabolic rate and body composition of elite Japanese male athletes. J. Med. Invest., 2012, 59(3.4), 253-260.
- De Lorenzo, A., Bertini, I., Puijia, A., Testolin, G. and Testolin, C. Comparison between measured and predicted resting metabolic rate in moderately active adolescents. Acta Diabetol. 1999, 36(3), 141-145.
- Carlsohn, A., Scharhag-Rosenberger, F., Cassel, M. and Mayer, F. Resting metabolic rate in elite rowers and canoeists: difference between indirect calorimetry and prediction. Ann. Nutr. Metab., 2011, 58(3), 239-244.
- Loureiro, L.L., Junior, S.F., dos Passos, R.B., Porto, C.P.M. and Pierucci, A.P.T.R. Basal metabolic rate of adolescent modern pentathlon athletes: agreement between indirect calorimetry and predictive equations and the correlation with body parameters. PloS one. 2015, 10(11), e0142859.
- Soares, M., Francis, D. and Shetty, P.S. Predictive equations for basal metabolic rates of Indian males. Eur. J. Clin. Nutr., 1993, 47(6), 389-394.
- Ismail, M.N., Wannudri, W. and Zawiah, H. Energy expenditure studies to predict requirements of selected national athletes. Malays. J. Nutr., 1997, 3(1), 71-81.