Daily Nutrient Intake and Physical Activity in Relation to Anthropometry and Body Composition of Professional Women
DOI:
https://doi.org/10.21048/IJND.2021.58.4.27216Keywords:
Anthropometry, Body Composition, Macronutrients, Micronutrients, Professional Women, Physical Activity.Abstract
Overweight among professional women is a major health issue which remains a challenge to be addressed in the coming years. A study was carried out among female university teachers in the age group of 31-60 years to determine an association of anthropometry and body composition with nutrient intake and physical activity. The requirements of energy, protein and carbohydrates were adequately met. The fat intake was higher than requirement but the intake of dietary fibre was inadequate. The Physical Activity Frequency Score (PAFS) for sitting at work/commuting was found to be the highest. The longer time spent on sitting at work and home was significantly correlated with abdominal obesity parameters. Body weight was positively and significantly (p ? 0.05) correlated with intake of total fat as well as saturated fat thus, indicated that fat intake is a major determinant of obesity in this group. Energy and saturated fat intake were significantly (p ? 0.05) associated with Abdominal Volume Index, thereby indicating that abdominal obesity was attributed to higher intake of energy and fat. Longer time spent on sitting at work or while commuting was significantly correlated with Waist-hip ratio (p ? 0.01), Waist-height ratio (p ? 0.05) and Conicity Index (p ? 0.01), indicating that long sitting hours is one of the determinants of abdominal obesity in the studied group.Downloads
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Accepted 2021-09-13
Published 2021-12-10
References
Mathur, P. and Pillai, R. Over nutrition: Current scenario and combat strategies. Ind. J. Med. Res., 2019, 149, 695. DOI: https://doi.org/10.4103/ijmr.IJMR_1703_18
Stok, F.M., De Vet, E., Wardle, J., Chu, M.T., De Wit, J. and De Ridder, D.T. Navigating the obesogenic environment: How psychological sensitivity to the food environment and self-regulatory competence are associated with adolescent unhealthy snacking. Eat. Behav., 2015, 17, 19-22. DOI: https://doi.org/10.1016/j.eatbeh.2014.12.003
Pingali, P. and Khwaja, Y. Globalization of Indian diets and the transformation of food supply systems. Inaugural Keynote Address 17th Annual Conference Indian Society of Agricultural Marketing. Indian Society of Agricultural Marketing, Hyderabad, 2004, 4-6.
Shetty, P.S. Nutrition transition in India. Public Health Nutr., 2002, 5, 175-182. DOI: https://doi.org/10.1079/PHN2001291
WHO, Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet, London, England, 2004, 363, 157-163. DOI: https://doi.org/10.1016/S0140-6736(03)15268-3
WHO, Waist circumference and waist-hip ratio: Report of a WHO expert consultation. World Health Organization, Geneva, 2008, 8-11.
Browning, L.M., Hsieh, S.D. and Ashwell, M. A systematic review of waist-to-height ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0.5 could be a suitable global boundary value. Nutr. Res. Rev., 2010, 23, 247-269. DOI: https://doi.org/10.1017/S0954422410000144
Wang, H., Liu, A., Zhao, T., Gong, X., Pang, T., Zhou, Y. and Shan, Z. Comparison of anthropometric indices for predicting the risk of metabolic syndrome and its components in Chinese adults: A prospective, longitudinal study. BMJ open, 2017, 7, 016062. DOI: https://doi.org/10.1136/bmjopen-2017-016062
Kaur, G. Diet Cal- A tool for dietary assessment and planning. 2018. All India Institute of Medical Sciences, New Delhi, India, 2018.
ICMR, Recommended dietary allowances and estimated average requirements nutrient requirements for Indians. National Institute of Nutrition, Indian Council of Medical Research, Hyderabad, India, 2020.
Pitanga, F.J.G. and Lessa, I. Anthropometric indexes of obesity as an instrument of screening for high coronary risk in adults in the city of Salvador-Bahia. Arq. Bras. Cardiol., 2005, 85, 26-31. DOI: https://doi.org/10.1590/S0066-782X2005001400006
Hosseinpour-Niazi, S., Mirmiran, P., Fallah-Ghohroudi, A. and Azizi, F. Combined effect of unsaturated fatty acids and saturated fatty acids on the metabolic syndrome: Tehran lipid and glucose study. J. Health Popul. Nutr., 2015, 33, 1-9. DOI: https://doi.org/10.1186/s41043-015-0015-z
Gupta, R., Rao, R.S., Misra, A. and Sharma, S.K. Recent trends in epidemiology of dyslipidemias in India. Ind. Heart J., 2017, 69, 382-392. DOI: https://doi.org/10.1016/j.ihj.2017.02.020
King, A.C., Blair, S.N., Bild, D.E., Dishman, R.K., Dubbert, P.M., Marcus, B.H. and Yeager, K.K. Determinants of physical activity and interventions in adults. Med. Sci. Sports Exerc., 1992, 24, 221-36. DOI: https://doi.org/10.1249/00005768-199206001-00005
Singh, A., Bains, K. and Kaur, H. Relationship of eating behaviors with age, anthropometric measurements and body composition parameters among professional Indian women. Ecol. Fd. Nutr., 2017, 56, 411-423. DOI: https://doi.org/10.1080/03670244.2017.1366317
Wolongevicz, D.M., Zhu, L., Pencina, M.J., Kimokoti, R.W., Newby, P.K., D’ Agostino, R.B. and Millen, B.E. An obesity dietary quality index predicts abdominal obesity in women: Potential opportunity for new prevention and treatment paradigms. J. Obes., 2010, 2010, 1-9. DOI: https://doi.org/10.1155/2010/945987