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Journal of Medicine and Life logoLink to Journal of Medicine and Life
. 2023 May;16(5):675–681. doi: 10.25122/jml-2023-0018

The effect of moderate-intensity exercises on physical fitness, adiposity, and cardiovascular risk factors in Saudi males university students

Said El-Ashker 1, Mohammed Al-Hariri 2,*
PMCID: PMC10375358  PMID: 37520473

Abstract

Physical inactivity has been linked to several non-communicable diseases. This cross-sectional study investigated the impact of moderate-intensity exercise on physical fitness, adiposity, and cardiovascular risk factors in 284 Saudi male university students in the Eastern Province of Saudi Arabia between 2017 and 2019. The physical activity (PA) intervention comprised three (120 minutes each) sessions of moderate intensity on non-consecutive days each week, delivering a total of 360 minutes of PA per week for ten weeks. We measured physical fitness using VO2 max calculations and assessed adiposity and cardiovascular risk factors using a range of parameters, such as systolic/diastolic blood pressure, heart rate, mean arterial pressure, body mass index, waist circumference, waist-to-height ratio, waist-to-hip ratio, body adiposity index, and body fat percentage. Our study found a significant increase in VO2 max after ten weeks of moderate-intensity exercise (<0.001). Additionally, body adiposity indices were significantly reduced before and after the intervention (p<0.001), as were cardiovascular risk factors. Our findings suggest that regular moderate-intensity exercise effectively improves physical fitness, decreases adiposity, and lowers cardiovascular risk factors in Saudi male adults. We recommend that policymakers and public health practitioners increase physical activity among university students by launching a campaign on social media and through

Keywords: BMI, adiposity, physical activity, cardiovascular risk, VO2 max

INTRODUCTION

Physical inactivity has been linked to a number of non-communicable diseases, including obesity, diabetes, chronic respiratory disease, and cardiovascular disease [1]. According to a report in 2016, physical inactivity caused 7.1% of breast cancer, 7.0% of colon cancer, 4.9% of type 2 diabetes, 4.5% of stroke, 4.0% of coronary heart diseases, and 6.4% of all-cause mortality [2]. Alarmingly, the number of physically inactive individuals has continuously increased from 14.4 million to 48.6 million between 1995 and 2020, representing a 240% increase [3]. Despite significant efforts to promote physical activity as a health behavior, 27.5% of individuals still do not meet the recommended levels of physical activity according to current public health guidelines [4].

According to international health recommendations, youth should complete at least 60 minutes of moderate to vigorous physical activity daily [5]. However, published evidence indicates that contemporary adults are not as active as they should be [6,7]. In fact, recent international data indicate that most adult male university students are physically inactive [810].

During the past several decades, Saudi Arabia has witnessed significant economic growth and technological transformation, resulting in dramatic lifestyle changes [11]. Consequently, sedentary behaviors, physical inactivity, and consumption of sugar-sweetened beverages, as well as a high caloric-dense diet, became prevalent in Saudis, which contributed to an increase in the prevalence of non-communicable diseases such as dyslipidemia, obesity, lipotoxicity, diabetes mellitus, hypertension, cardio, and coronary artery diseases [1215].

Regular exercise and physical activity have been directly linked to lower mortality and morbidity rates [16]. However, while the effects of exercise training on the cardiovascular system have been extensively studied, most of these studies have focused on men or young volunteers. In addition, health and medical organizations stress the importance of providing accurate information on optimal exercise intensity and volume for physical activity and exercise professionals to achieve the desired effectiveness[17].

Several reports have indicated a high prevalence of physical inactivity among adults in Saudi Arabia, making it challenging for them to achieve the health benefits of physical activity[12,18]. However, in the past decade, there have been published reports regarding physical activity among young adults, highlighting the need for an update on exercise interventions in this rapidly growing Middle Eastern country. Currently, limited and scant data is available in the published literature on the effectiveness of moderate exercise or PA among Saudi university students. Therefore, this study aimed to investigate the effects of a ten-week moderate-intensity exercise intervention, consisting of a convenient bout, on adiposity, physical fitness, and cardiovascular risk factors in male Saudi students.

MATERIAL AND METHODS

Study design and setting

A structured cross-sectional study was carried out from 2017 to 2019 in the Eastern Province of Saudi Arabia among male Saudi adult students. The study recruited participants (N=1350) from the university community through flyers; any student who could exercise was eligible to participate. Participants with a history of medical issues (e.g., endocrine, respiratory, cardiac, renal, malignancy) or joint pain and smoking were excluded from the study. Each student completed a medical history questionnaire to ensure consistency with their physical activity activities.

Data collection tools

The obesity and cardiovascular parameters were measured using standardized equipment by qualified research assistants according to international standards and references. The weight of the students was documented to the nearest 0.1 kg and height to the nearest 0.1 cm (Seca 704; Seca, Hamburg, Germany) [19]. Other measurements, such as waist circumference (WC) and hip circumference (HC), were obtained using a measuring tape to the nearest centimeter, as these are commonly used non-invasive biomarkers for predicting cardio-metabolic risk factors [20].

Two consecutive readings of systolic and diastolic blood pressure (BP) were taken from each participant after 15 min of resting using an automated blood pressure monitor (Omron M6 Comfort IT) [21]. Digital handgrip dynamometry (Product of SAEHAN Corporation Company, South Korea) was used to test the right-left-hand grip. The instrument was considered reliable based on the evidence provided by Faria in 2013 [22]. All measurements were taken between 11:00 AM and 12:30 PM to control for confounders and diurnal hormonal variations on the recorded results [23]. To ensure the utmost reliability of the collected data, participants were asked to press the dynamometer two times with a one-minute rest between each recording, and the mean of three records was considered for data analysis.

Indices calculations

Body mass index (BMI) was calculated by dividing the participant's weight in kilograms by the square of their height in meters [BMI=Weight (kg)/Height (m)2] [24]. Based on the BMI measurements, students were categorized as normal weight (5–85th percentile), overweight (85–95th percentile), and obese (>95th percentile) [25].

The body adiposity index (BAI) was calculated as BAI=((hip circumference)/((height)1.5)–18)) [26]. Basal metabolic rate (BMR) = [(10 x weight in kg) + (6.25 x height in cm) - (5 x age in years) + 5] Kcal/day [27]. We calculated the waist-to-hip ratio by dividing waist circumference/hip circumference. The waist-to-height ratio was calculated as waist circumference/height [28]. The VO2 max was calculated using the Uth N. (2004) formula indirectly from the measured HR(max)-to-HR(rest) ratio [29]. Mean arterial pressure was calculated using diastolic pressure + 1/3 pulse pressure [30].

Physical activity intervention

The intervention protocol consisted of three sessions per week, each lasting 120 minutes on non-consecutive days, for a total of 360 minutes per week, for ten weeks. The intensity of the physical activity (PA) was managed by maintaining the target heart rate in the moderate-intensity zone (64% to 76% of the maximum heart rate) [31]. The physical education lesson activities were graded to achieve a load intensity that permitted the participants to sustain a perceived exertion (RPE) of 12 to 14 on the Borg 6-20 point scale [32]. RPE and target heart rate were recorded every 10 minutes during the activities.

The university provided physical education lessons (120 minutes/week) to all students. The study participants were attending these physical education lessons compulsory, and the PA sessions were conducted under the supervision of the same physical education instructors. A prerequisite for participation in the study was to attend at least 90% of the sessions. The applied intervention protocol was based on the United States Centres for Disease Control and Prevention guidelines [33] to achieve 150 minutes of moderate-intensity PA plus another two days of muscle-strengthening activity.

The intervention protocol integrated activities preferred by the study participants based on their responses to the favorite sport type in the PA readiness questionnaire (240 minutes per week). Accordingly, the intervention was composed of outdoor activities such as football (n=60, 21.13%), volleyball (n=46, 16.20%), handball (n=37, 13.03%), basketball (n=32, 11.27%), and running (n=25, 8.80%), as well as indoor activities (table tennis n=34, 11.97%), gym (n=28, 9.86%), and squash (n=22, 7.75%) as summarized in Table 1.

Table 1.

Exercise protocol for supervised physical activity intervention workouts

Frequency 2 controlled physical education lessons per week for 8 weeks
Intensity Moderate intensity was prescribed for the exercise sessions, and the students were instructed to perform the exercises at a level where they could breathe moderately, experience flushed skin and sweat.
Time 120 minutes consist of:
10 minutes workout introductory session (e.g., attendance, goals);
20 minutes warm-up;
40 minutes of selected sport activity;
20 minutes of skill-related physical fitness exercises, 2 components for each workout (e.g., balance, speed, agility, coordination);
20 minutes of health-related physical fitness exercises, 2 components for each workout (e.g., cardiovascular endurance, strength, flexibility, muscular endurance;
10 minutes cool-down.
Type Activities included a range of outdoor activities (e.g., football, volleyball, handball, basketball, and running), indoor activities (e.g., table tennis, gym, and squash), and physical fitness exercise.

Statistical analysis

Statistical analysis was performed using SPSS software (Version 24, Chicago, IL, USA). Descriptive statistics were calculated for all baseline and post-intervention variables, including the mean and standard deviation (mean ± SD). Pairwise t-tests were used to determine significant differences between baseline and post-intervention variables. All p-values were two-tailed, and significance was considered at a level of <0.05.

RESULTS

Baseline characteristics

A total of 320 students initially responded and agreed to participate in the study. However, 36 students were excluded from the final analysis because they could not attend all measurement sessions or post-tests in person. Therefore, a convenience sample of 284 male Saudi students who completed all the intended measures before and after the ten-week PA intervention was included in the analysis (see Figure 1). The mean age of participants was 18.5±0.9 years, the mean height was 176±8.3 cm, and the mean weight was 84.9±30.6 kg. The mean heart rate, systolic and diastolic blood pressure were 80.0±12.05 bpm, 127.5±14.5 mmHg, and 70.6±9.7 mmHg, respectively (Table 2).

Figure 1.

Figure 1.

Flowchart illustrating the selection process of students for the physical activity intervention

Table 2.

Baseline characteristics of participants

Characteristics (n=284) Mean±SD
Age 18.5±0.9
Height (cm) 176±8.3
Body weight (kg) 84.9±30.6
Heart rate (BPM) 80.0±12.05
Systolic blood pressure (mmHg) 127.5±14.5
Diastolic blood pressure (mmHg) 70.6±9.7

BPM – beat per minute.

Cardiovascular indices

As illustrated in Table 3, performing weekly PA bouts or each exercise session showed a significant reduction in the cardiovascular indices as recorded at the end of the exercise protocol (ten weeks) compared to baseline. Resting heart rate significantly decreased (p<0.001) from 80.0±12.05 to 73.7±10.11 beats per minute. Systolic and diastolic blood pressure also significantly decreased (p=0.005, 0.001 respectively) from 127.5±14.53 and 70.6±9.76 mmHg to 126.0±6.98 and 69.1±3.84 mmHg, respectively. Furthermore, the mean arterial pressure, which represents the driving force of blood flow, significantly decreased (p≤0.001) from 89.6±9.53 to 88.1±4.07 mmHg after the exercise intervention (Table 3).

Table 3.

Cardiovascular indices before and after the intervention

Parameter Mean±SD P-value
Preintervention reading Postintervention reading
Heart rate (BPM) 80.0±12.05 73.7±10.11 <0.001
Systolic blood pressure (mmHg) 127.5±14.53 126.0±6.98 0.005
Diastolic blood pressure (mmHg) 70.6±9.76 69.1±3.84 0.001
Mean arterial pressure 89.6±9.53 88.1±4.07 <0.001

BPM – beat per minute.

Body adiposity indices and basal metabolic rate

There were significant improvements (p<0.001) in all of the study body adiposity and composition indices before and after the completion of the exercise program. After ten weeks of convenient PA bouts, waist circumference significantly (p<0.001) decreased from 93.8±21.67 cm to 84.8±17.59 cm, and both the calculated waist-to-hip ratio and waist-to-height ratio significantly (p<0.001) decreased from 0.9±0.084 and 0.5±0.120 to 0.85±0.09 and 0.46±0.09, respectively. Similarly, significant improvements (p<0.001) were shown in body adiposity index, body fat percentage, body mass index, and basal metabolic rate 28.1±7.62, 31.6±11.19%, 27.3±9.32 kg/m2, 1863.1±423.47 Kcal/day compared to baseline 24.0±5.84, 30.6±10.41%, 26.4± 8.67 kg/m2, 1835.3±303.30 Kcal/day, respectively (Table 4).

Table 4.

Body adiposity indices and basal metabolic rates before and after the intervention

Parameter Mean±SD P-value
Preintervention reading Postintervention reading
Waist circumference (cm) 93.8±21.67 84.8±17.59 <0.001
Waist-to-hip ratio 0.9±0.084 0.85±0.09 <0.001
Waist-to-height ratio 0.5±0.12 0.46±0.09 <0.001
Body adiposity index 28.1±7.62 24.0±5.84 <0.001
Body fat percentage (%) 31.6±11.19 30.6±10.41 <0.001
Body mass index (kg/m2) 27.3±9.32 26.4±8.67 <0.001
Basal metabolic rate (Kcal/day) 1863.1±423.47 1835.3±303.30 <0.001

Fitness and muscle performance

Interestingly, our study showed that the calculated VO2 max significantly increased (p<0.001) from 37.2±6.3 mL/kg/min to 40.3±6.2 mL/kg/min after ten weeks (Figure 2). In addition, hand grip strength tests of both hands showed a significant (p<0.001) improvement before and after the exercise intervention, with right-hand grip increasing from 37.0±7.31 kg to 45.2±6.67 kg and left-hand grip increasing from 35.0±7.29 kg to 40.2±7.15 kg (Figure 3).

Figure 2.

Figure 2.

Changes in the calculated VO2 max, before and after the intervention

Figure 3.

Figure 3.

Changes in muscle performance before and after the intervention

DISCUSSION

The results of this study demonstrate the positive impact of a ten-week moderate-intensity exercise program on physical fitness, adiposity, and cardiovascular risk factors in male Saudi university students. Physical inactivity is currently considered one of the most significant public health concerns of the 21st century [34]. Unfortunately, physical education and activity are underappreciated and undervalued by many academic institutions and even clinical medicine. Studies conducted among university students in different countries have reported that physical activity levels are often below the recommended guidelines [10,35].

It is widely recognized that prolonged exercise training can elicit numerous physiological adaptations. However, maintaining long-term compliance with exercise programs remains challenging for many individuals [36]. Nevertheless, with sufficient and appropriate exercise stimuli, almost all trainees can benefit from exercise protocols [36]. To address this issue, we implemented a 10-week moderate-intensity exercise program consisting of convenient and enjoyable modalities to investigate its impact on various physiological parameters among young male participants.

Combination interventions, including both aerobic exercise and resistance training, have been shown to have better outcomes in reducing total body fat, visceral fat, and fat percentage than aerobic exercise alone, according to previously reported data [37,38]. Higher levels of adiposity have been linked to an increased risk of developing various serious illnesses such as hypertension, type 2 diabetes, and cardiovascular and metabolic diseases[39]. Therefore, using convenient exercise programs can be an effective means of reducing this risk.

Low cardiorespiratory fitness is a significant risk factor for mortality, accounting for 16% of all deaths, compared to other traditional causes of death such as smoking, obesity, high cholesterol, diabetes, and hypertension [34]. Moreover, an increase of one metabolic equivalent in cardiorespiratory fitness led to an 18% decrease in deaths due to cardiovascular disease. The current improvement in calculated VO2 max falls within the range of what has been previously reported [40]. These improvements have important long-term prevention implications against cardiovascular-metabolic disorders.

The post-training VO2 max record obtained in our study and across several studies could be attributable to the completion and compliance rather than the type of exercise. In this regard, it has been reported that a relatively prolonged regimen of moderate or even more intense intervals of PA induces similar improvements in cardiorespiratory fitness [41]. The significant increase in hand grip strength observed in our study after ten weeks is another advantage of utilizing this exercise program. These results confirm the well-known benefits of regular physical activity on muscular strength, independent of an individual's perceived health status [9,42].

Unfortunately, sports courses and physical education are often undervalued and neglected, and administrative, systemic, and financial constraints hinder the development of a strong sports culture. Moreover, student involvement in physical activity is often low, estimated to be only 39%, according to a recent report [43]. Therefore, it is crucial to adopt feasible physical activity models among the younger generation and to encourage partial engagement in academic and physical education to prevent the risk of cardiovascular and metabolic disorders and to improve cardiopulmonary fitness and muscle strength.

One limitation of this study is that it was conducted among male university students using a convenient sampling technique, which limits the generalizability of the results to the broader population. Additionally, the study did not measure biochemical markers such as glucose and lipid profiles to assess the impact of the exercise program on the metabolic status of university students. Furthermore, the study did not investigate the challenges in performing physical activity, and as such, further research is recommended to identify the barriers that prevent students from engaging in regular physical activity.

Based on our findings, we recommend that public health practitioners and policymakers launch an awareness campaign through flyers and social media to encourage adult students to engage in regular physical activity, both on campus and at home. Future studies should aim to overcome the limitations of this research by increasing the sample size, including female participants, and incorporating additional variables such as biochemical markers of metabolic health.

CONCLUSION

The present study highlights the importance of regular moderate-intensity exercise in improving physical fitness and reducing adiposity and cardiovascular risk factors in Saudi male adults.

ACKNOWLEDGMENTS

Conflict of interest

The authors declare no conflict of interest.

Ethical approval

The study protocol was revised and approved by the university ethical committee (IRB-2018-19-112).

Consent to participate

Written informed consent for participation was obtained from the patients.

Authorship

SE contributed to the conceptual design, proposal writing and collected the data. MA analyzed the data and wrote the manuscript. Both authors revised the final draft and gave final approval for the version to be published.

REFERENCES

  • 1.Katzmarzyk PT, Friedenreich C, Shiroma EJ, Lee IM. Physical inactivity and non-communicable disease burden in low-income, middle-income and high-income countries. Br J Sports Med. 2022 Jan;56(2):101–106. doi: 10.1136/bjsports-2020-103640. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Ding D, Lawson KD, Kolbe-Alexander TL, Finkelstein EA, et al. The economic burden of physical inactivity: a global analysis of major non-communicable diseases. Lancet. 2016 Sep 24;388(10051):1311–24. doi: 10.1016/S0140-6736(16)30383-X. [DOI] [PubMed] [Google Scholar]
  • 3.Adeloye D, Ige-Elegbede JO, Auta A, Ale BM, et al. Epidemiology of physical inactivity in Nigeria: a systematic review and meta-analysis. J Public Health (Oxf) 2022;44:595–605. doi: 10.1093/pubmed/fdab147. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1·9 million participants. Lancet Glob Health. 2018 Oct;6(10):e1077–e1086. doi: 10.1016/S2214-109X(18)30357-7. [DOI] [PubMed] [Google Scholar]
  • 5.Faigenbaum AD, Lloyd RS, Myer GD. Youth Resistance Training: Past Practices, New Perspectives, and Future Directions. Pediatric Exercise Science. 2013;25:591–604. doi: 10.1123/pes.25.4.591.. [DOI] [PubMed] [Google Scholar]
  • 6.Tudor-Locke C, Johnson WD, Katzmarzyk PT. Accelerometer-determined steps per day in US children and youth. Med Sci Sports Exerc. 2010 Dec;42(12):2244–50. doi: 10.1249/MSS.0b013e3181e32d7f.. [DOI] [PubMed] [Google Scholar]
  • 7.Al-Hariri MT, Alkahtani S, Abdelgayed A. Impact of Life Behaviour on Students Physical Fitness at University of Dammam in Saudi Arabia. Academic Research International. 2014;5:87–93. [Google Scholar]
  • 8.Toprak M, Avcι YE, Cengiz O. School Physical Education courses: A study on challenges and on restoring their functions. Pegem Journal of Education and Instruction, 2021;11:306–315. doi: 10.47750/pegegog.11.04.29. [DOI] [Google Scholar]
  • 9.Zubiaur M, Zitouni A, Del Horno S. Comparison of Sports Habits and Attitudes in University Students of Physical and Sports Education of Mostaganem (Algeria) and Physical Activity and Sport Sciences of León (Spain). Front Psychol. 2021 Jan 5;11:593322. doi: 10.3389/fpsyg.2020.593322. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Kwan MY, Cairney J, Faulkner GE, Pullenayegum EE. Physical activity and other health-risk behaviors during the transition into early adulthood: a longitudinal cohort study. Am J Prev Med. 2012;42:14–20. doi: 10.1016/j.amepre.2011.08.026. [DOI] [PubMed] [Google Scholar]
  • 11.Lee I-M, Shiroma EJ, Lobelo F, Puska P, et al. Impact of Physical Inactivity on the World's Major Non-Communicable Diseases. Lancet. 2012;380:219–29. doi: 10.1016/S0140-6736(12)61031-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Al-Hazzaa HM. Physical inactivity in Saudi Arabia revisited: A systematic review of inactivity prevalence and perceived barriers to active living. Int J Health Sci (Qassim). 2018;12:50–64. [PMC free article] [PubMed] [Google Scholar]
  • 13.Al-Hariri MT. Lipotoxicity-related sarcopenia: a review. JOURNAL of MEDICINE and LIFE. 2022;15:1334–1339. doi: 10.25122/jml-2022-0157. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Alkahtani S, Elkilany A, Alhariri M. Association between sedentary and physical activity patterns and risk factors of metabolic syndrome in Saudi men: A cross-sectional study. BMC Public Health. 2015;15:1234. doi: 10.1186/s12889-015-2578-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.EL-Ashker S, Pednekar MS, Narake SS, Albaker W, Al-Hariri M. Blood Pressure and Cardio-Metabolic Risk Profile in Young Saudi Males in a University Setting. Medicina. Multidisciplinary Digital Publishing Institute; 2021;57:755. doi: 10.3390/medicina57080755. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Anderson E, Durstine JL. Physical activity, exercise, and chronic diseases: A brief review. Sports Medicine and Health Science. 2019;1:3–10. doi: 10.1016/j.smhs.2019.08.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Alansare A, Alford K, Lee S, Church T, Jung HC. The Effects of High-Intensity Interval Training vs. Moderate-Intensity Continuous Training on Heart Rate Variability in Physically Inactive Adults. International Journal of Environmental Research and Public Health. Multidisciplinary Digital Publishing Institute; 2018;15:1508. doi: 10.3390/ijerph15071508. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Alqahtani BA, Alenazi AM, Alhowimel AS, Elnaggar RK. The descriptive pattern of physical activity in Saudi Arabia: analysis of national survey data. International Health. 2021;13:232–9. doi: 10.1093/inthealth/ihaa027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Albaker W, Al Sheikh M, Albakr A, Alkhafaji D, et al. The Efficacy and Safety of Liraglutide 3.0 mg for Weight Management in Obese Non-Diabetic Saudi Outpatients. Int J Gen Med. 2021;14:8643–50. doi: 10.2147/IJGM.S336904. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Albaker W, Saklawi R, Bah S, Motawei K, et al. What is the current status of childhood obesity in Saudi Arabia?: Evidence from 20,000 cases in the Eastern Province: A cross-sectional study. Medicine (Baltimore). 2022;101(e29800) doi: 10.1097/MD.0000000000029800. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Al-Hariri MT. Association of blood pressure and random blood glucose with weight status of normal male population in Dammam Saudi Arabia. Pakistan Journal of Physiology. 2012;8:36–8. [Google Scholar]
  • 22.Faria C, Aguiar LT, Lara EM, Souza LAC, et al. Dynamometry for the assessment of grip, pinch, and trunk strength in subjects with chronic stroke: reliability and various sources of outcome values. Int J Phys Med Rehabil. 2013;1:1–5. [Google Scholar]
  • 23.B Bagger M, Petersen PH, Pedersen PK. Biological variation in variables associated with exercise training. Int J Sports Med. 2003 Aug;24(6):433–40. doi: 10.1055/s-2003-41180.. [DOI] [PubMed] [Google Scholar]
  • 24.Al-Muzafar H, Al-Hariri M. Estimation of elemental concentrations in the toenail of young Saudi females with obesity. J Med Life. 2022;15:601–5. doi: 10.25122/jml-2022-0017.. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Al-Muzafar HM, Al-Hariri MT. Alterations in manganese level in the biological samples of young obese Saudi women. J Taibah Univ Med Sci. 2021;16:706–11. doi: 10.1016/j.jtumed.2021.04.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Bergman RN, Stefanovski D, Buchanan TA, Sumner AE, et al. A Better Index of Body Adiposity. Obesity (Silver Spring). 2011;19:1083–9. doi: 10.1038/oby.2011.38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Mifflin MD, St Jeor ST, Hill LA, Scott BJ, et al. A new predictive equation for resting energy expenditure in healthy individuals. Am J Clin Nutr. 1990;51:241–7. doi: 10.1093/ajcn/51.2.241.. [DOI] [PubMed] [Google Scholar]
  • 28.Al Asoom LI, Al Hariri MT. The association of adiposity, physical fitness, vitamin D levels and haemodynamic parameters in young Saudi females. Journal of Taibah University Medical Sciences. 2018;13:51–7. doi: 10.1016/j.jtumed.2017.05.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Uth N, Sørensen H, Overgaard K, Pedersen PK. Estimation of VO2 max from the ratio between HRmax and HRrest--the Heart Rate Ratio Method. Eur J Appl Physiol. 2004;91:111–5. doi: 10.1007/s00421-003-0988-y. [DOI] [PubMed] [Google Scholar]
  • 30.Badar A, Kaatabi H, Bamosa A, Al-Elq A, et al. Effect of Nigella sativa supplementation over a one-year period on lipid levels, blood pressure and heart rate in type-2 diabetic patients receiving oral hypoglycemic agents: nonrandomized clinical trial. Ann Saudi Med. 2017;37:56–63. doi: 10.5144/0256-4947.2017.56.. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Medicine AC of S. Lippincott Williams & Wilkins; 2013. ACSM's guidelines for exercise testing and prescription. [Google Scholar]
  • 32.Perceived Exertion (Borg Rating of Perceived Exertion Scale) | Physical Activity | CDC. 2022 Available from: https://www.cdc.gov/physicalactivity/basics/measuring/exertion.htm. [Google Scholar]
  • 33.Livingstone MBE, Robson PJ, Wallace JMW, McKinley MC. How active are we? Levels of routine physical activity in children and adults. Proceedings of the Nutrition Society. Cambridge University Press; 2003;62:681–701. doi: 10.1079/PNS2003291.. [DOI] [PubMed] [Google Scholar]
  • 34.Blair SN. Physical inactivity: the biggest public health problem of the 21st century. British Journal of Sports Medicine. British Association of Sport and Excercise Medicine; 2009;43:1–2. [PubMed] [Google Scholar]
  • 35.Awadalla NJ, Aboelyazed AE, Hassanein MA, Khalil SN, et al. Assessment of physical inactivity and perceived barriers to physical activity among health college students, south-western Saudi Arabia. East Mediterr Health J. 2014;20:596–604. [PubMed] [Google Scholar]
  • 36.Tanaka H. Exercise Nonresponders: Genetic Curse, Poor Compliance, or Improper Prescription? Exercise and Sport Sciences Reviews. 2018;46:137. doi: 10.1249/JES.0000000000000156. [DOI] [PubMed] [Google Scholar]
  • 37.Ho SS, Dhaliwal SS, Hills AP, Pal S. The effect of 12 weeks of aerobic, resistance or combination exercise training on cardiovascular risk factors in the overweight and obese in a randomized trial. BMC Public Health. 2012;12:704. doi: 10.1186/1471-2458-12-704.. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Park DH, Ransone JW. Effects of submaximal exercise on high-density lipoprotein-cholesterol subfractions. Int J Sports Med. 2003;24:245–51. doi: 10.1055/s-2003-39505.. [DOI] [PubMed] [Google Scholar]
  • 39.Haffner SM. Abdominal adiposity and cardiometabolic risk: do we have all the answers? Am J Med. 2007;120:S10–16. doi: 10.1016/j.amjmed.2007.06.006. discussion S16-17. [DOI] [PubMed] [Google Scholar]
  • 40.Roxburgh BH, Nolan PB, Weatherwax RM, Dalleck LC. Is Moderate Intensity Exercise Training Combined with High Intensity Interval Training More Effective at Improving Cardiorespiratory Fitness than Moderate Intensity Exercise Training Alone? J Sports Sci Med. 2014;13:702–7. [PMC free article] [PubMed] [Google Scholar]
  • 41.Astorino TA, Schubert MM, Palumbo E, Stirling D, et al. Magnitude and time course of changes in maximal oxygen uptake in response to distinct regimens of chronic interval training in sedentary women. Eur J Appl Physiol. 2013;113:2361–9. doi: 10.1007/s00421-013-2672-1.. [DOI] [PubMed] [Google Scholar]
  • 42.Loprinzi PD, Loenneke JP, Hamilton DL. Leisure time sedentary behavior, physical activity and frequency of protein consumption on lower extremity strength and lean mass. Eur J Clin Nutr. 2017;71:1399–404. doi: 10.1038/ejcn.2017.101. [DOI] [PubMed] [Google Scholar]
  • 43.Choi SM, Sum KWR, Leung FLE, Ha SCA, et al. Predictors of Physical Activity Levels in University Physical Education Implementing Sport Education. J Sports Sci Med. 2021;20:516–24. doi: 10.52082/jssm.2021.516.. [DOI] [PMC free article] [PubMed] [Google Scholar]

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