Abstract
Background
Young individuals are often at a higher risk for cardiovascular disease and obesity due to lifestyle changes like less physical activity and a sedentary lifestyle.
Objective
The aim of this study is to determine cardiovascular fitness in young individuals and to study the effects of obesity on their cardiovascular fitness.
Material and methods
In this study, 100 young individuals, out of which 50 were individuals with obesity and 50 were controls, including males and females, of the age group 18-25 years were included. Cardiovascular fitness was assessed in them using body mass index (BMI) and waist-to-hip ratio (WHR). Parameters like SBP (systolic blood pressure), DBP (diastolic blood pressure), PR (pulse rate), and HFI (Harvard fitness index) were measured.
Results
There was no difference found in the PR of the group with obesity compared to the control group (79.020/min ± 8.651 versus 79.42/min ± 6.737; p value = 0.797). However, a significant increase was observed in both SBP and DBP amongst the group with obesity compared to the control group (SBP = 122.72 mmHg ± 12.287 versus 110.92 mmHg ± 11.803; p-value < 0.001, DBP = 81.96 mmHg ± 7.913 versus 73.24 mmHg ± 11.06; p-value < 0.001). There was a significant reduction in HFI in the group with obesity than in the control group (57.44% ± 9.322 versus 80.34% ± 12.594; p-value < 0.001). When we compared males with obesity and females with obesity, we observed a non-significant difference in PR between males with obesity and females with obesity (77.12/min ± 6.02 versus 80.92/min ± 10.44; p-value = 0.122). However, we found a significant increase in SBP in males with obesity compared to females with obesity (127.76 mmHg ± 10.93 versus 117.68 mmHg ± 11.66; p-value < 0.01). A significant decrease in DBP in males with obesity (78.80 mmHg ± 7.55 versus 85.12 mmHg ± 7.07; < 0.01) than in females with obesity was also observed. Along with a non-significant increase in HFI value in males with obesity compared to females with obesity (58.96% ± 8.14 versus 55.92% ± 10.31; p-value = 0.253).
Conclusion
Results suggest that both male and female young individuals with obesity are at higher risk for developing cardiovascular comorbidities in the future. So, we need to focus on encouraging activities that promote physical fitness.
Keywords: harvard fitness index (hfi), cardiovascular diseases (cvd)., waist to hip ratio (whr), body mass index (bmi), obesity
Introduction
Obesity is a public health concern for both developed and developing nations due to the increased risk of chronic diseases such as cardiovascular diseases, stroke, diabetes, sleep apnea, osteoarthritis, and different types of cancer [1-4]. According to WHO, in 2016, 39% of adults aged 18 years and above were overweight, while 13% suffered from obesity. Globally approximately 2.8 million deaths are reported due to being overweight or obese [1]. Unfavorable cardiovascular risk is found in the young because of lifestyle changes like less physical activity, sedentary lifestyle, stress and intake of commercial food. As a result, there is low cardiovascular fitness and a high percentage of body fat in them [5]. With the advancement in technology, the prevalence of obesity has increased drastically among children and teenagers worldwide. It is an important health issue, considering that the probability of adolescents with obesity becoming adults with obesity is around 83% [6].
Obesity is a multi-factorial metabolic disease influenced by social, physiological, metabolic, molecular, and genetic factors [7]. WHO defines overweight and obesity as abnormal and excessive fat accumulation that presents a risk to health. BMI appears to be one of the indices of obesity as it approximates adiposity and fat distribution in adults [8,9]. The waist-to-hip ratio is also an important indicator of obesity [10,11]. In the present study, BMI values, decided per the guidelines issued by the Indian health ministry, and waist-to-hip ratio were used to decide obesity. Cardiovascular parameters like PR (pulse rate), BP (blood pressure), and HFI (Harvard fitness index) were also studied among the group with obesity and the control. HFI is a cardiac stress test often used for detecting and diagnosing cardiovascular disease. It is a decent way of measuring fitness and an individual’s ability to recover after strenuous exercise by checking the recovery rate [12,13].
Therefore, this research was undertaken to explore the effect of obesity on cardiovascular fitness in young individuals with and without obesity and compare cardiac fitness between males with obesity and females with obesity.
Materials and methods
This is a cross-sectional study that was conducted on 100 young individuals - 50 with obesity and 50 as control, including both males and females aged 18-25 years from a medical college. Body mass index and waist-to-hip ratio are the two measurements we have used to determine obesity in individuals. Also, weight and height were measured, and BMI was calculated by the formula: BMI = Weight (Kg)/Height (m2) [7]. Waist circumference was measured at the level of the umbilicus, and hip circumference was measured around the widest portion of the buttocks using a measuring tape with light clothing. The waist-to-hip ratio was calculated as WHR = Waist Circumference/Hip Circumference [7,14,15]. Those individuals with BMI ≥ 25, WHR > 0.90 in males, and WHR > 0.85 in females, were considered as a group with obesity. And the individuals with BMI <23, WHR ≤ 0.90 in males, and WHR ≤ 0.85 in females, were taken as the control group. They were classified according to the cut-off values of BMI for Indians as per the guidelines issued by the Indian Health Ministry and based on WHR values as per WHO guidelines [7,14,15].
Individuals with a BMI of 23 and 24 (overweight) were excluded from the study [16]. Students with a history of diabetes, hypertension, lung disease, or taking any medications that can affect the cardiovascular and respiratory systems, alcohol intake, smoking and regularly exercising, physically handicapped, and women in the menstruating phase were also excluded from this study. After the selection of the groups with obesity and the control group, the study participants refrained from any energetic physical activity for 2 to 3 hours before the test. Moreover, the following parameters were studied amongst the study participants at room temperature between 1 pm and 4 pm a) Resting pulse rate was calculated by counting radial pulse for 1 minute; b) Blood pressure was measured by the auscultatory method using a Mercury Sphygmomanometer in a sitting position after 10 min; c) Harvard fitness index (%): Calculated using the Harvard step test, metronome, and stopwatch. The person steps up and down on Harvard Step, 20 inches high, at the rate of 30 steps per minute for 5 minutes or until exhaustion. The person immediately sits down on completion of the test, and the total number of pulse beats was counted and recorded between 1 and 1.5 minutes (PR1), between 2 and 2 .5 minutes (PR2), and between 3 and 3.5 minutes (PR3). The Harvard fitness index is calculated using the following formula HFI = Duration exercise (in sec.) X 100/ 2 (PR1 + PR2 + PR3) [12].
Cardiovascular fitness is classified according to the Harvard fitness index as follows: HFI below 55 is considered as poor fitness, 55-64 as low average fitness, 65-79 as high average fitness, 80-89 as a good fitness index, and 90 and above as excellent fitness [12].
Data analysis was done using SPSS version 17.0 software (SPSS Inc., Chicago, USA), and further analysis was performed using an unpaired t-test.
Permission to conduct the study was taken from the Institutional Ethics Review Committee, Mahatma Gandhi Mission’s (MGM) Institute of Health Sciences, (Deemed University u/s 3 of the UGC Act, 1956) Kamothe, Navi Mumbai, India - Institutional Ethics Review Committee (IERC) approval number: MGM/HIS/RS/2011/26.
Results
It was observed that the mean value of pulse rate of the group with obesity (79.020/min ± 8.651) was lower than the control group (79.420/min ± 6.737), which was statistically not significant. The results indicated significantly higher mean values of SBP and DBP in the group with obesity (122.720 mmHg ± 12.287 and 81.960 mmHg ± 7.913) than in the control group (110.920 mmHg ± 11.803 and 73.240 mmHg ± 11.065). For HFI, significantly lower values were observed in the group with obesity (57.440 % ± 9.322) compared to the control group (80.340% ± 12.594) (Table 1).
Table 1. Cardiovascular parameters in the obese group and the control group.
| Parameters | Group | Mean± SD | p-value |
| Pulse rate/minute | Obese | 79.020 ± 8.651 | 0.797 |
| Control | 79.420 ± 6.737 | ||
| Systolic blood pressure in mm/Hg | Obese | 122.720 ± 12.287 | < 0.001 |
| Control | 110.920 ± 11.803 | ||
| Diastolic blood pressure in mm/Hg | Obese | 81.960 ± 7.913 | < 0.001 |
| Control | 73.240 ± 11.065 | ||
| Harvard fitness index | Obese | 57.440 ± 9.322 | < 0.001 |
| Control | 80.340 ± 12.594 |
When we compared males with obesity and females with obesity, PR was slightly higher in females with obesity (80.92/min ± 10.44) than in males with obesity (77.12/min ± 6.02) which was statistically not significant. The mean value of SBP (systolic blood pressure) was significantly higher in males with obesity (127.76 mmHg ± 10.93) than in females with obesity (117.68 mmHg ± 11.66), and the mean value of DBP (diastolic blood pressure) was significantly higher in females with obesity (85.120 mmHg ± 7.07) than in males with obesity (78.80 mmHg ± 7.55). In females with obesity, the HFI values (55.92% ± 10.31) were slightly lower than in males with obesity (58.96% ± 8.14) which were statistically not significant (Table 2).
Table 2. Cardiovascular parameters in obese male and obese females.
| Parameters | Obese Male | Obese Female | |
| Mean ± SD | Mean ± SD | p-value | |
| Pulse rate/minute | 77.12 ± 6.02 | 80.92 ± 10.44 | 0.122 |
| Systolic blood pressure in mm/Hg | 127.76 ± 10.93 | 117.68 ± 11.66 | <0.01 |
| Diastolic blood pressure in mm/Hg | 78.80 ± 7.55 | 85.120 ± 7.07 | <0.01 |
| Harvard fitness index | 58.96 ± 8.14 | 55.92 ± 10.31 | 0.253 |
Discussion
This study was designed to evaluate cardiovascular fitness in young individuals with obesity. We found a significant increase in SBP, DBP, and a significant reduction in HFI in individuals with obesity but no difference was found in PR in young individuals with obesity compared to those without obesity. It implies that young individuals with obesity are at higher risk for cardiovascular disease in the future. When we compared males with obesity with females with obesity, we observed a non-significant difference in PR and HFI values. In contrast, a significant increase in SBP in males with obesity and a significant increase in DBP in females with obesity was observed. So, male and female young individuals are at the same risk where obesity is concerned, as SBP was higher in males, but DBP was higher in females. Various similar studies showed a non-significant reduction in PR in individuals with obesity [17,18]. A study by Ofuya et al. showed a significant increase in PR in individuals with obesity [19]. A similar significant increase in BP among individuals with obesity was observed in various studies [20,21]. Additionally, a similar significant decrease in HFI in individuals with obesity was observed in studies conducted by Chen et al. and Dasa et al. [13,22].
Our study supports that young individuals with obesity are at higher risk for cardiovascular disease. This is due to their lifestyle changes like less physical activity and more sedentary lifestyle. [1,4]. The American Heart Association has cited obesity as a major modifiable risk factor for coronary heart disease. People with obesity are likely to have hypertriglyceridemia and low HDL (high-density lipoprotein) cholesterol values, which increases the risk of cardiovascular disease. Also, it was found that obesity is associated with insulin resistance and hyperinsulinemia. Excess insulin causes sodium retention, blood volume expansion, and the production of norepinephrine in the body, resulting in hypertension in individuals with obesity [23]. Being overweight and having hypertension ultimately lead to the development of cardiovascular diseases in individuals with obesity. Cardiac weight increases with increasing body weight, suggesting increased cardiac work, which results in cardiomyopathy and heart failure [24]. This indicates that obesity affects cardiovascular function to a greater extent. The present study supports this, indicating a significant decrease in cardiovascular function in young individuals with obesity than in those without obesity. So, we need to pay more attention to the health of young individuals and need to improve their physical fitness.
The strength of our study is that we have included two criteria to assess obesity: 1) BMI and 2) WHR. young individuals who fulfil both criteria were included in this study. As BMI is not gender-specific and independent of age and regional distribution of fat, excess weight may come from muscles, bone, fat, or body water. BMI overestimates the body fat in a person who is very muscular or has fluid retention and underestimates the body fat in a person who has lost muscle mass, as in an elderly person. BMI is a poor measure of abdominal obesity, which is an independent risk factor for cardiovascular disease [25]. The waist-to-hip ratio is commonly used to judge abdominal obesity and it is more gender-specific and population-specific, so we have included it in our study to assess obesity along with BMI [26].
The limitations of our study are in terms of the number and nature of participants. In future studies, we can increase the sample size and study cardiovascular fitness in children with obesity. In future studies, we can also use VO2 max as an indicator of cardiovascular fitness. We can also evaluate respiratory parameters to study respiratory fitness in young individuals with obesity.
Conclusions
Low cardiovascular fitness in young adults with increased body fat could be a factor in developing cardiovascular comorbidities like coronary artery disease and stroke later in life. Results suggest that young individuals with obesity are at a higher risk for developing cardiovascular comorbidities later in life than young individuals without obesity. Males with obesity and females with obesity are at the same risk as far as obesity is concerned. Exercise training and healthy eating habits are preventive measures for cardiovascular diseases. Our study suggests that young individuals need regular physical exercise to prevent obesity and related cardiovascular risk in the future.
The content published in Cureus is the result of clinical experience and/or research by independent individuals or organizations. Cureus is not responsible for the scientific accuracy or reliability of data or conclusions published herein. All content published within Cureus is intended only for educational, research and reference purposes. Additionally, articles published within Cureus should not be deemed a suitable substitute for the advice of a qualified health care professional. Do not disregard or avoid professional medical advice due to content published within Cureus.
The authors have declared that no competing interests exist.
Human Ethics
Consent was obtained or waived by all participants in this study. The Institutional Ethics Review Committee, Mahatma Gandhi Mission’s (MGM) Institute of Health Sciences, (Deemed University u/s 3 of the UGC Act, 1956) Kamothe, Navi Mumbai, India issued approval MGM/HIS/RS/2011/26. Permission to conduct the study was approved by the Institutional Ethics Review Committee, Mahatma Gandhi Mission’s (MGM) Institute of Health Sciences, (Deemed University u/s 3 of the UGC Act, 1956) Kamothe, Navi Mumbai, India. Institutional Ethics Review Committee (IERC) approval number: MGM/HIS/RS/2011/26.
Animal Ethics
Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue.
References
- 1.To study the prevalence of obesity among medical students in relation with dietary habits. Sonawane S, Kadam A, Sharma H, Tetarbe T. Ind J Forens Communit Med. 2019;6:211–213. [Google Scholar]
- 2.Measuring the association of overweight and obesity with human disease and other factors in Bangladesh. Islam M, Haque M. Open J Stat. 2020;10:402–411. [Google Scholar]
- 3. Assessment of public awareness about body measurements among Fayoum population. El-Sherbiny NA, Mashahit MA, Sheir RE. Health. 2014;6 [Google Scholar]
- 4.Prevalence and factors associated with overweight and obesity among university students of the health field in San Luis Potosí México. Tejada T, Pastor D, Gaytan H, Norma A, Ortiz Ortiz. Health . 2015;7:3. [Google Scholar]
- 5.Cardiac alterations on 3T MRI in young adults with sedentary lifestyle-related risk factors. Snel GJ, van den Boomen M, Hurtado-Ortiz K, et al. Front Cardiovasc Med. 2022;9:840790. doi: 10.3389/fcvm.2022.840790. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Obesity - a risk factor or a disease: What can exercise do for obese children? Saavedra JM. https://europepmc.org/article/PMC/4140028. Indian J Med Res. 2014;139:661–662. [PMC free article] [PubMed] [Google Scholar]
- 7.Dr A. Rastogi. Obesity | National Health Portal of India. nhp.gov.in. [ Sep; 2022 ]. 2016. https://www.nhp.gov.in/disease/non-communicable-disease/obesity https://www.nhp.gov.in/disease/non-communicable-disease/obesity
- 8.The effects of aerobic versus resistance training on cardiovascular fitness in obese sedentary females. Chaudhary S, Kang MK, Sandhu JS. Asian J Sports Med. 2010;1:177–184. doi: 10.5812/asjsm.34835. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.A review of adult obesity research in Malaysia. Lim KG. http://pubmed.ncbi.nlm.nih.gov/27801384/ Med J Malaysia. 2016;71:1–19. [PubMed] [Google Scholar]
- 10.Research on Inter-relationship of waist-to-hip ratio, body mass index and subcutaneous fat with blood pressure among university-going Punjabi Sikh and Hindu females. Badaruddoza Badaruddoza, Kaur N. Basanti B. http://www.internationalscholarsjournals.org Afr J Nurs and Midwife. 2021;9:1–7. [Google Scholar]
- 11.Abdominal Obesity Indicators: Waist Circumference or Waist-to-hip Ratio in Malaysian Adults Population. Ahmad N, Adam SI, Nawi AM, Hassan MR, Ghazi HF. Int J Prev Med. 2016;7:82. doi: 10.4103/2008-7802.183654. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.To study the effect of exercise on physical fitness of healthy medical students and trained athletes using step test. Bora R, Dutta U. http://www.semanticscholar.org Indian journal of applied research. 2020;10:9–10. [Google Scholar]
- 13.A Comparative study of physical fitness index (PFI) and predicted maximum aerobic capacity (VO2max) among the different groups of female students in West Bengal, India. Dasa B, Ghosh T, Gangopadhyay S. Int J App Sport Sci. 2010;22:13–23. [Google Scholar]
- 14.Correlation between age, gender, waist-hip ratio and intra ocular pressure in Adult North Indian population. Baisakhiya S, Singh S, Manjhi P. J Clin Diagn Res. 2016;10:0–8. doi: 10.7860/JCDR/2016/21487.8991. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Waist circumference and waist-to-hip ratio as indicators of abdominal obesity. Singh N, Hooja H, Yadav A, Mital P, Jaiswal A, Bairwa P. Int J Life Sci Res Arch. 2022;2:102–105. [Google Scholar]
- 16.Effect of obesity on pregnancy outcomes - Indian perspective: a review. Pawalia A, Yadav V, Kulandaivelan S. https://www.researchgate.net/publication/290439510 Int J Sci Res. 2015;4:453–457. [Google Scholar]
- 17.Effects of body mass index on maximal work production capacity and aerobic fitness during incremental exercise. Ozcelik O, Aslan M, Ayar A, Kelestimur H. https:// pubmed.ncbi.nlm.nih.gov/15046552/ Physiol Res. 2004;53:165–170. [PubMed] [Google Scholar]
- 18.Differences in physical fitness and cardiovascular function depend on BMI in Korean Men. So WY, Choi DH. http:// www.ncbi.nlm.nih.gov/pmc/articles/PMC3761729/ J Sports Sci Med. 2010;9:239–244. [PMC free article] [PubMed] [Google Scholar]
- 19.A Study of cardiovascular and respiratory parameters in obese and non-obese subjects’ resident in Port Harcourt. Ofuya ZM, Georgewill AA, Agu GO. http://www.semanticscholar.org African Journal of Applied Zoology & Environmental Biology. 2005;7:11–13. [Google Scholar]
- 20.Trends in adolescents obesity and the association between BMI and blood pressure: a cross-sectional study in 714,922 healthy teenagers. Chorin E, Hassidim A, Hartal M, Havakuk O, Flint N, Ziv-Baran T, Arbel Y. Am J Hypertens. 2015;28:1157–1163. doi: 10.1093/ajh/hpv007. [DOI] [PubMed] [Google Scholar]
- 21.Obesity, sex, race, and early onset hypertension: implications for a refined investigation strategy. Thompson P, Logan I, Tomson C, Sheerin N, Ellam T. Hypertension. 2020;76:859–865. doi: 10.1161/HYPERTENSIONAHA.120.15557. [DOI] [PubMed] [Google Scholar]
- 22.Obesity, fitness and health in Taiwanese children and adolescents. Chen LJ, Fox KR, Haase A, Wang JM. Eur J Clin Nutr. 2006;60:1367–1375. doi: 10.1038/sj.ejcn.1602466. [DOI] [PubMed] [Google Scholar]
- 23.Physical activity is associated with percent body fat and body composition and body mass index in white and black college students. Zanovec M, Lakkakula A, Johnson L, Turni G. http://www.researchgate.net/publication/28330742. Int J Exerc Sci. 2009;2:175–185. doi: 10.70252/MDOK6464. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Medical consequences of obesity. Bray GA. http://academic.oup.com/jcem/article/89/6/2583/2870290. J Clin Endocrinol Metabol. 2004;89:2583–2589. doi: 10.1210/jc.2004-0535. [DOI] [PubMed] [Google Scholar]
- 25.Abdominal obesity and the risk of all-cause, cardiovascular, and cancer mortality: sixteen years of follow-up in US women. Zhang C, Rexrode KM, van Dam RM, Li TY, Hu FB. Circulation. 2008;117:1658–1667. doi: 10.1161/CIRCULATIONAHA.107.739714. [DOI] [PubMed] [Google Scholar]
- 26.Karen O. Is BMI the Best Measure for Obesity | Cancer Research Catalyst | American Association for Cancer Research. Cancer Research Catalyst. [ Sep; 2022 ]. 2018. https://www.aacr.org/blog/2018/04/06/is-bmi-the-best-measure-for-obesity/ https://www.aacr.org/blog/2018/04/06/is-bmi-the-best-measure-for-obesity/
