Hostname: page-component-cd9895bd7-jkksz Total loading time: 0 Render date: 2024-12-25T02:07:15.920Z Has data issue: false hasContentIssue false
  • English
  • Français

Physical activity ratio of selected activities in Indian male and female subjects and its relationship with body mass index

Published online by Cambridge University Press:  08 March 2007

Rebecca Kuriyan ,
Parvathi P. Easwaran  and
Anura V. Kurpad
Rebecca Kuriyan*
Affiliation:
Division of Nutrition, Institute of Population Health and Clinical Research, St John's National Academy of Health Sciences, Sarjapur Road, Bangalore–560034, India
Parvathi P. Easwaran
Affiliation:
Department of Food Service Management & Dietetics, Avinashilingam Deemed University, Coimbatore 641 043, Tamil Nadu, India
Anura V. Kurpad
Affiliation:
Division of Nutrition, Institute of Population Health and Clinical Research, St John's National Academy of Health Sciences, Sarjapur Road, Bangalore–560034, India
*
*Corresponding author: Dr Rebecca Kuriyan, fax +91 80 25532037, email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The physical activity level of an individual can be determined by assigning physical activity ratios (PAR) to different activities. The PAR is the ratio of the energy expended in a particular activity and the BMR, and is thought to be independent of body weight. PAR values of selected activities in Indian male and female subjects were measured and their association with BMI was assessed. The BMR and energy cost of selected activities were measured in thirty male and thirty female subjects in the age group of 20–40 years, who were categorised into different groups of BMI. The PAR values of the underweight male subjects were significantly lower than the overweight subjects for activities such as walking at 3·2 and 4·8km/h and walking at 3·2km/h with a 5kg load. In the female subjects, the underweight subjects had significantly lower PAR values for floor swabbing, and walking at 3·2 and 4·8km/h when compared with overweight females. The mean data of the male and female subjects of the present study were slightly but significantly different to the previously reported FAO, WHO and United Nations University values and other compilations. The BMI was significantly correlated with the PAR value of the studied activities. In India, where a large proportion of the population have BMI below 18·5 and above 25kg/m2, considerations of the influence of body weight and BMI on PAR become important in accurately determining total energy expenditure.

Keywords

Physical activity ratioBody mass indexIndians
Type
Research Article
Information
British Journal of Nutrition , Volume 96 , Issue 1 , January 2006 , pp. 71 - 79
Copyright
Copyright © The Nutrition Society 2006

References

Ainsworth, BE, Haskell, WL, Leon, AS, Jacobs, DR Jr, Montoye, HJ, Sallis, JF & Paffenbarger, RS Jr Compendium of physical activities: classification of energy costs of human physical activities. Med Sci Sports Exerc (1993) 25, 71–80.CrossRefGoogle ScholarPubMed
Ainsworth, BE, Haskell, WL, Whitt, MC et al. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc (2000) 32, S498–S516.CrossRefGoogle ScholarPubMed
Durnin, JVGA & Womersley, JBody fat assessed by total body density and its estimation from skinfold thickness: measurements on 481 men and women aged from 16 to 72 years. Br J Nutr (1974) 32, 77–97.CrossRefGoogle ScholarPubMed
Food and Agriculture Organization Energy and protein requirements: report of a joint FAO/WHO/UNU expert consultation. World Health Organ Tech Rep Ser (1985) 724, 1–206.Google Scholar
Food and Agriculture Organization Annex 5. Energy costs of activities.InHuman Energy Requirements, Report of a Joint FAO/ WHO/UNU Expert Consultation. FAO Food and Nutrition Technical Report Series no. 1 pp. 92–96. Rome: FAO 2004Google Scholar
Haggarty, P, Valenci, M, McNeill, G et al. Energy expenditure during work and its interaction with body weight. Br J Nutr (1997) 77, 359–373.CrossRefGoogle Scholar
Harrison, GG, Buskirk, ER, Lindsay Carter, JE, Johnston, FE, Lohman, TG, Pollock, ML, Roche, AF & Wilmore, JH 1988 Skinfold thicknesses and measurement technique.InAnthropometric Standardization Reference Manual, pp. 55–70 [Lohman, TG, Roche, AFandMartorell, R editors]. Champaign. IL: Human Kinetics.Google Scholar
Howell, W, Earthman, C, Reid, P, Delaney, J & Houtkooper, LDoubly labeled water validation of the compendium of physical activities in lean and obese college women. Med Sci Sports Exerc (1999) 31, S142.CrossRefGoogle Scholar
James, WPT & Schofield, ECHuman Energy Requirements, pp.47–48Oxford: Oxford University Press. 1990Google Scholar
Kanade, AN, Gokhale, MK & Rao, sEnergy costs of standard activities among Indian adults. Eur J Clin Nutr (2001) 55, 708–713.CrossRefGoogle ScholarPubMed
Kuriyan, R, Petracchi, C, Ferro-Luzzi, A, Shetty, PA & Kurpad, AVValidation of expedient methods for measuring body composition in Indian adults. Indian J Med Res (1998) 107, 37–45.Google ScholarPubMed
Lof, M, Hannestad, U & Forsum, EComparison of commonly used procedures, including the doubly-labelled water technique, in the estimation of total energy expenditure of women with special reference to the significance of body fatness. Br J Nutr (2003) 90, 961–968.CrossRefGoogle Scholar
McNeill, G, Fowler, PA, Maughan, RJ, McGaw, BA, Fuller, MF & Gvozdanovic, SBody fat in lean and overweight women estimated by six methods. Br J Nutr (1991) 65, 95–103.CrossRefGoogle ScholarPubMed
Maffeis, C, Schutz, Y,Schena, F, Zaffanello, M & Pinelli, LEnergy expenditure during walking and running in obese and nonobese prepubertal children. J Pediatr (1993) 123, 193–199.CrossRefGoogle ScholarPubMed
Racette, SB, Schoeller, DA & Kushner, RFComparison of heart rate and physical activity recall with doubly labeled water in obese women. Med Sci Sports Exerc. 1995 27, 126–133.CrossRefGoogle ScholarPubMed
Ramachandran, A, Snehalatha, C, Satyavani, K, Sivasankari, S & Vijay, VMetabolic syndrome in urban Asian Indian adults–a population study using modified ATP III criteria. Diabetes Res Clin Pract. 2003 60, 199–204.CrossRefGoogle ScholarPubMed
Siri, WBody composition from the fluid spaces and density: analysis of methodsInTechniques for Measuring Body Composition, pp.223–244 [Brozek, J and Henschel, A editors]. Washington, DC:National Academy of Sciences NRC, 1961Google Scholar
Spadano, JL, Must, A, Bandini, LG, Dallal, GE & Dietz, WHEnergy cost of physical activities in 12 y-old girls: MET values and the influence of body weight. Int J Obes (2003) 27, 1528–1533.CrossRefGoogle ScholarPubMed
Staten, LK, Taren, DL, Howell, WH, Tobar, M, Poehlman, ET, Hill, A, Reid, PM & Ritenbaugh, CValidation of the Arizona Activity Frequency Questionnaire using doubly labeled water. Med Sci Sports Exerc (2001) 33, 1959–1967.CrossRefGoogle ScholarPubMed
Sujatha, T, Shatrugna, V, Venkataramana, Y & Begum, NEnergy expenditure on household, childcare and occupational activities of women from urban poor households. Br J Nutr (2000) 83, 497–503.CrossRefGoogle ScholarPubMed
Weir, JBNew methods for calculating metabolic rate with special reference to protein metabolism. J Physiol (1949) 109, 1–9.CrossRefGoogle ScholarPubMed
World Health Organization Obesity: Preventing and Managing the Global Epidemic, Report of a WHO Consultation, Geneva: WHO (2000)Google Scholar
World Health Organization Expert Consultation Appropriate body-mass index fro Asian populations and its implications for policy and intervention strategies. Lancet (2004) 363, 157–163.CrossRefGoogle Scholar