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Jayalakshmi, M. K.
- Impact of Obesity on Castelli’s Risk Index I and II, in Young Adult Females
Authors
1 Department of Physiology, Gadag Institute of Medical Sciences, Gadag, Karnataka, IN
Source
International Journal of Physiology, Vol 8, No 1 (2020), Pagination: 21-26Abstract
Background: Obesity is one of today’s most blatantly visible, yet most neglected, public health problems. In 2016, 39% of adults worldwide were overweight. Fueled by economic growth, urbanization, an increasingly sedentary lifestyle, and a nutritional transition to processed foods and high calorie diets over the last 30 years, many countries have witnessed the prevalence of obesity in its citizens double, and even quadruple. Obesity especially visceral obesity causes insulin resistance and is associated with dyslipidemia, impaired glucose metabolism, and hypertension all of which exacerbate atherosclerosis, and are risk factors for developing cardiovascular diseases (CVD). The primary dyslipidemia related to obesity is characterized by increased total cholesterol (TC), decreased high density lipoprotein (HDL) levels and abnormal low density lipoprotein (LDL) composition. Lipoprotein ratios are becoming increasingly popular as a way to predict atherosclerosis and CVD.
Aims and Objectives: The present study was undertaken to assess the impact of overweight/obesity on lipid profile parameters and lipoprotein ratios- Castelli’s Risk Index I and II, in young adult females.
Materials and Method: The present study was conducted in KIMS, Hubli, the study and its conduct was cleared by the Ethical committee. Sixty apparently healthy young females were selected for the study. Health status and other personal data were obtained via comprehensive questionnaire. The subjects were divided into two groups based on BMI; Healthy (BMI 18.5-24.99) and Overweight (BMI > 25). Lipid profile was evaluated and lipoprotein ratios calculated. Comparison between the two groups was done using students’ t-test.
Results: Values for Castelli’s Risk Index I & II were found to be significantly higher in the overweight group compared to the control group.
Conclusion: Obesity leads to an unfavorable lipid pattern and raises values of both Castelli’s Risk Index I & II.
Keywords
Obesity, Castelli’s Risk Index I & II, Lipid Profile, Lipoprotein Ratios.References
- Global Health Observatory (GHO) data. https:// www.who.int/gho/ncd/en/. Accessed on 07/09/2019.
- Pi-Sunyer X. The medical risks of obesity. Postgrad Med 2009; 121(6):21–33.
- AK Singh, S K Singh, N Singh, N Agrawal, K Gopal. Obesity and dyslipidemia. Int J Biol Med Res 2011; 2(3): 824-828.
- Boudewijn Klop, Jan Willem F. Elte, and Manuel Castro Cabezas. Dyslipidemia in Obesity: Mechanisms and Potential Targets. Nutrients. 2013; 5(4): 1218–1240.
- Yusuf S, Hawken S, Ounpuu S, Dans T, Avezum A, Lanas F, McQueen M, Budaj A, Pais P, Varigos J, Lisheng L, INTERHEART Study Investigators. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet 2004; 364(9438):937-52.
- Miller M. Dyslipidemia and cardiovascular risk: the importance of early prevention. QJM 2009; 102(9):657–667.
- Wolf D, Ley K. Immunity and Inflammation in Atherosclerosis. Circ Res 2019; 124(2):315-327.
- Bhardwaj S, Bhattacharjee J, Bhatnagar MK, Tyagi S. Atherogenic index of plasma, Castelli risk index and atherogenic coefficient- new parameters in assessing cardiovascular risk. Int J Pharm Bio Sci 2013; 3:359–64.
- Nair D, Carrigan TP, Curtin RJ, Popovic ZB, Kuzmiak S, Schoenhagen P, Flamm SD, Desai MY. Association of total cholesterol/ high-density lipoprotein cholesterol ratio with proximal coronary atherosclerosis detected by multislice computed tomography. Prev Cardiol 2009; 12(1):19-26.
- Maksvytis A, Stakisaitis D. Impact of obesity on lipid profiles in middle-aged women. Medicina (Kaunas). 2004;40(6):553-7.
- Gilles Plourde. Impact of obesity on glucose and lipid profiles in adolescents at different age groups in relation to adulthood. BMC Family Practice 2002; 3:18.
- K Suneetha. Study of Lipid Profile in Obese and Non-obese Students in Acharya Nagarjuna University. International Journal of Pharmaceutical and Clinical Research 2018; 10(2):40-42.
- Bassi R, Sharma S, Kaur M, Sharma A. A study of changes in lipid profile in obese and non-obese females with acne vulgaris. Natl J Physiol Pharm Pharmacol 2014; 4:125-127.
- Myat Su Bo, Whye Lian Cheah, Soe Lwin, Tin Moe Nwe, Than Than Win, and Myint Aung, “Understanding the Relationship between Atherogenic Index of Plasma and Cardiovascular Disease Risk Factors among Staff of an University in Malaysia,” Journal of Nutrition and Metabolism 2018;Article ID 7027624.
- Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). Circulation. 2002; 106(25):3143-421.
- Superko HR, King S. Lipid management to reduce cardiovascular risk: a new strategy is required. Circulation 2008; 117(4):560-8.
- Olamoyegun MA, Oluyombo R, Asaolu SO. Evaluation of dyslipidemia, lipid ratios, and atherogenic index as cardiovascular risk factors among semi-urban dwellers in Nigeria. Ann Afr Med 2016; 15(4):194–199.
- I. Stensvold, A. Tverdal, P. Urdal et al., “Non-fasting serum triglyceride concentration and mortality from coronary heart disease and any cause in middle aged Norwegian women,” British Medical Journal 1993;307(6915):1318–1322.
- Du T, Yuan G, Zhang M, Zhou X, Sun X, Yu X. Clinical usefulness of lipid ratios, visceral adiposity indicators, and the triglycerides and glucose index as risk markers of insulin resistance. Cardiovasc Diabetol 2014; 13:146.
- Young SG, Parthasarathy S. Why are low-density lipoproteins atherogenic? West J Med 1994; 160(2):153–164.
- Feingold KR, Grunfeld C. Introduction to Lipids and Lipoproteins. [Updated 2018 Feb 2]. In: Feingold KR, Anawalt B, Boyce A, et al., editors. Endotext [Internet]. South Dartmouth (MA): MDText.com, Inc.; 2000-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK305896/. Accessed on 07/09/2018.
- Physical Factors Influencing FVC in Indian Adult Males
Authors
1 Department of Physiology, Gadag Institute of Medical Sciences, Gadag, Karnataka, IN
Source
International Journal of Physiology, Vol 8, No 1 (2020), Pagination: 27-31Abstract
Background: Pulmonary function tests are widely used as a valuable diagnostic tool in detecting and diagnosing various respiratory disorders like COPD, they also play an important role in monitoring therapy effectiveness and course of the disease. Normative values of pulmonary functions of healthy population are affected by different geographic, ethnic, climatic and demographic factors. The most important determining factors of Vital capacity in an individual are anthropometric factors such as age, sex, height, weight, body mass index (BMI) and body surface area (BSA)
Aims and Objectives: The aim of the present study was to find the correlation between Forced Vital Capacity (FVC) and anthropometric measurements like height, weight, body mass index (BMI) and body surface area (BSA) in Indian adult males.
Materials and Method: Fifty healthy adult males were randomly selected for the study. Ethical clearance was taken from the Institutional Ethical Committee. The physical factors namely height, weight, body mass index (BMI), and body surface area (BSA) were measured. FVC was recorded by using computerized spirometer. The correlation between the various physical factors and FVC was done using Pearson’s correlation.
Results: Height, weight and body surface area showed significant positive correlation with FVC. However height showed the strongest correlation (r = 0.5807), followed by BSA (r = 0.531) and lastly weight (r = 0.422). However the correlation of BMI with FVC was not statistically significant.
Conclusion: The present study showed that body height, body surface area and body weight are important determinant of FVC in Indian adult males, with height being the most important determinant.
Keywords
FVC, Height, Weight, BMI, Body Surface Area.References
- Pulmonary terms and symbols: a report of the ACCP-ATS Joint Committee on Pulmonary Nomenclature, Chest 1975; 67:583
- Robert o. Crapo. Pulmonary function testing. N. Engl J Med 1994; 331:25-30
- Jiwtode MT, Raikar PR. Comparison of pulmonary function tests in urban and rural children of Nagpur, Maharashtra, India. Int J Res Med Sci. 2017; 5(3):908-11.
- Deshpande JN, Dahat HB, Shirole CD, Pandc AH, et al. Pulmonary function and their correlation with anthropometric parameters in rural children. Indian J Pediatrics. 1983; 50:375-8.
- Lad UP, Vilas G. Correlation between Body Mass Index (BMI), Body Fat Percentage and Pulmonary Functions in Underweight, Overweight and Normal Weight Adolescents. J Clinical Diagnosis Res. 2012; 6(3):350-3.
- Sharma G, Goodwin J. Effect of aging on respiratory system physiology and immunology. Clinical Intervention and Aging. 2006; 1:253–60.
- Lee B, Park S, Han D. Analysis of the influential factors of maximal-effort expiratory capacity of elderly women. J Phys Ther Sci. 2016;28:2924–8
- Quanjer PH, CapderouA, Mazicioglu MM,AggarwalAN, Banik SD, Popovic S, et al. All-age relationship between arm span and height in different ethnic groups. Eur Respir J. 2014; 44:905–12.
- Rufino R, Costa CH, Lopes AJ, Maiworm AI, Maynard K, Silva LM, et al. Spirometry reference values in the Brazilian population. Braz J Med Biol Res. 2017; 50:5700.
- McCallister JW, Adkins EJ, O’Brien JM. Obesity and acute lung injury. Clin Chest Med. 2009; 30:495–508.
- Ochs-Balcom HM, Grant BJ, Muti P, Sempos CT, Freudenheim JL, Trevisan M, et al. Pulmonary function and abdominal adiposity in the general population. Chest. 2006; 129:853–62.
- Golshan M, Nematbakhsh M, Amra B and Crapo RO. Spiro metric reference values in a large Middle Eastern population. European Respir J 2003; 22(3):529-534
- Mitchell EA. International trend in hospital admission rates for asthma. Arch Dis Child. 1985; 60:376-8.
- Polgar C, Promadhat V. Standard values. In: Pulmonary function testing in children: techniques and standards. 1st ed. Philadelphia: WB Saunders, 1971; 87-122.
- Polgar GJ, Weng TR. The functional development of the respiratory system. Am Rev Respir Dis 1979; 120:625-95.
- Degroodt EG, Van Peit W, Borsboom GJJM, Quanjer PH, van Zomeren BC. Growth of lung and thorax dimensions during the pubertal growth spurt. Eur Respir J 1988; 1:102-8.
- Carel RS, Greenstein A, Ellender E, Melamed Y, Kerem D. Factors affecting ventilatory lung function in young navy selectees. Am Rev Respir Dis 1983; 128:249-52.
- Pawar S, Taksande AB. Prediction of pulmonary norms in healthy school boys 5-15 years - A review article. J Mahatma Gandhi Institute Med Sci. 2011; 16(1).
- Muralidhara DV, Bhat MR. Some aspects of the pulmonary functions in underweight and overweight human subjects. Thai J Physiological Sci. 2007; 20:3-7.
- Vijayan VK, Reetha AM, Kuppurao KV, Venkatesan P, Thilakavathy S. Pulmonary function in Normal South Indian children aged 7-19 years. Indian J Chest Dis Allied Sci. 2000; 42: 147-156.
- Tasi MC, Jeng MJ, Chang HL, Taso PC, Yang CF, Peng YY, et al. Spiro metric reference equations for healthy children aged 6 to 11 years in Taiwan. J Chin Med Assoc 2010; 73:218.
- C.D.Aundhakar. G.J. Kesliwal. V.S. Yajurvedi. M.S. Rewat. S.K.Ganeriwal and Sangam RN.Pulmonary function test in School children. Indian J Physiology pharmacol.1985; Jan-Mar; 29(1):14-20
- Medarov BI, Strachan P, Cohen R. Effect Of body Mass Index on Pulmonary FunctionTests.Chest. 2005; 128:171-172.
- Chatterjee S, Mandal A. Pulmonary function studies in healthy school boys of West Bengal. Jpn J Physiol 1991; 41:797-808.
- Chowgule RV, Shetye VM, Parmar JR.: Lung function tests in normal Indian children. Indian pediatrics 1995-Feb; 32:185-191.
- Dickman ML, Schmidt CD, Gardner RM.: Spiro metric standards for normal children and adolescents. (ages 5 years through 18 years)Am Rev Respir dis 1971; 104: 680-687.
- Meenakshi Sharma , Rambabu Sharma , Neelam Singh , Kusum Gaur: FEV1 , FVC, FEV1 /FVC ratio in children of 7-14 years of age from Western Rajasthan. J Bangladesh Soc Physiol. 2013 June; 8(1): 37-41
- Gundogdu Z, Eryilmaz N. Correlation between peak flow and body mass index in obese and nonobese children in Kocaeli, Turkey. Prim Care Respir J 2011; 20:4036.
- Soundariya K, Neelambika N. Influence of anthropometric indices on pulmonary function tests in young individuals. World J Med Sci 2013; 9:15761.