Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Public Health, 17 October 2025

Sec. Public Health Education and Promotion

Volume 13 - 2025 | https://doi.org/10.3389/fpubh.2025.1578569

This article is part of the Research TopicWomen in Sports and Exercise: Public Health and PromotionView all 8 articles

Impact of an 8-week high-intensity bodyweight interval training on body composition and blood lipid metabolism in young women with overweight

Emre YamanerEmre Yamaner1Tuna TurutTuna Turğut2Aye AksoyAyşe Aksoy1Burhan Demirk&#x;ranBurhan Demirkıran3Mine Akku UarMine Akkuş Uçar4Burhan BaoluBurhan Başoğlu5Furkan amiiFurkan Çamiçi6Muhammed Said YanarMuhammed Said Yanar7Alpay BülbülAlpay Bülbül8Ahmet Ferdi KoAhmet Ferdi Koç7Tülay CeylanTülay Ceylan9Levent Ceylan
Levent Ceylan6*Hamza KüükHamza Küçük10
  • 1Sungurlu Vocational School of Higher Education, Hitit University, Çorum, Türkiye
  • 2Faculty of Sports Sciences, Bartın University, Bartın, Türkiye
  • 3Faculty of Sports Science, Akdeniz University, Antalya, Türkiye
  • 4School of Physical Education and Sports, Mardin Artuklu University, Mardin, Türkiye
  • 5Faculty of Sports Science, Nevşehir Hacı Bektaş Veli University, Nevşehir, Türkiye
  • 6Faculty of Sport Sciences, Hitit University, Çorum, Türkiye
  • 7School of Physical Education and Sports, Osmaniye Korkut Ata University, Osmaniye, Türkiye
  • 8Faculty of Sport Sciences, Aydın Adnan Menderes University, Aydın, Türkiye
  • 9Institute of Graduate Studies, Ondokuz Mayıs University, Samsun, Türkiye
  • 10Yaşar Doğu Faculty of Sport Sciences, Ondokuz Mayıs University, Samsun, Türkiye

Background: A physically inactive lifestyle is associated with an increased risk of obesity, dyslipidemia and metabolic disorders, especially in women. While high-intensity training methods have been extensively studied in male populations, the physiological and metabolic effects of high-intensity interval resistance training (HIIRT) in overweight women are understudied. The aim of this study was to investigate the effects of an 8-week HIIRT program on body composition and lipid metabolism in women.

Methods: A total of 30 women (mean age: 23.13 ± 4.03 years, mean BMI: 31.21 ± 2.92 kg/m2) participated in an 8-week HIIRT program. Body composition was measured before and after the intervention using bioelectrical impedance analysis (BIA), while blood lipid parameters (triglycerides, total cholesterol, LDL, and HDL) were analyzed. Paired-sample t-tests were performed to determine the significance of the changes in body composition and lipid metabolism, using Cohen’s d effect size for interpretation.

Results: The HIIRT program led to significant improvements in body composition, with body weight decreasing by 11.4 kg (p = 0.001, d = 0.96) and fat percentage decreasing by 3.1% (p = 0.001, d = 0.92). In addition, blood lipid profiles improved significantly, with triglycerides (−8.9 mg/dL, p = 0.001, d = 0.81, medium effect), total cholesterol (−19.7 mg/dL, p = 0,020, d = 1.98, large effect), and LDL (−8.2 mg/dL, p = 0.004, d = 1.96, large effect) decreased, while HDL increased by +10 mg/dL (p = 0.006, d ≥ 2.0, very large effect). These results underline the positive effects of HIIRT on lipid metabolism and cardiovascular health.

Conclusion: The results suggest that HIIRT is an effective and time-efficient training model for improving body composition and metabolic health in women. The combination of high-intensity interval training principles with resistance exercise optimizes fat oxidation, improves fat metabolism and supports cardiovascular function. Given its efficacy, HIIRT could be a valuable strategy for treating metabolic disorders and reducing the risks of physically inactive behavior. Future research should focus on long-term adaptations and individual variability in metabolic responses to optimize HIIRT programs for broader populations.

1 Introduction

A physically inactive lifestyle characterized by prolonged physical inactivity is a major risk factor for several metabolic and cardiovascular diseases, including obesity, dyslipidemia and type 2 diabetes. This lifestyle negatively affects physiological functions by reducing cardiovascular efficiency, impairing metabolic health and increasing the risk of chronic diseases. Therefore, structured exercise interventions such as high-intensity interval resistance training (HIIRT) have gained attention due to their potential benefits in combating these negative effects, especially in physically inactive populations (1).

High-intensity interval resistance training (HIIRT) is a variant of HIIT that specifically integrates resistance-based exercises, typically performed with bodyweight or external loads, within the interval structure of high-intensity bouts and recovery periods. While traditional HIIT primarily focuses on improving aerobic and anaerobic capacity through cardiovascular-based activities (e.g., cycling, running, sprinting), HIIRT emphasizes muscular strength, endurance, and hypertrophy by incorporating exercises such as squats, lunges, push-ups, or resistance circuit movements. As such, HIIRT engages both the muscular and cardiovascular systems simultaneously, promoting greater muscle activation and improvements in both neuromuscular and metabolic adaptations. This distinct training focus makes HIIRT particularly suitable for enhancing body composition and fat metabolism, offering complementary benefits beyond the aerobic improvements typically observed with traditional HIIT (2, 3). According to the American College of Sports Medicine’s Worldwide Survey of Fitness Trends, HIIT was recognized as the top fitness trend between 2014 and 2018 (4, 5). In particular, its role in relation to body composition and health/fitness has been emphasized. In addition to its worldwide (6), regional (7), and national (8) popularity, the effectiveness of resistance-based interval training has been widely used among individuals seeking to improve cardiometabolic health (2, 9, 10). Furthermore, as recently reported, the role of muscle strengthening in metabolic health (11) and the role of bodyweight exercises in energy expenditure among young people has also been emphasized (12).

Despite the growing body of research on high-intensity interval resistance training (HIIRT), most studies have primarily focused on male participants, leaving a significant gap in understanding its effects on women. Physiological differences between men and women, including variations in hormonal regulation, fat metabolism, and muscle fiber composition, may lead to distinct responses to HIIRT (1316). For instance, estrogen has been shown to influence lipid metabolism and recovery kinetics, suggesting that women may experience unique adaptations compared to men. Furthermore, women generally have a higher proportion of type I muscle fibers and greater reliance on fat oxidation during exercise, which could affect their metabolic and performance outcomes in response to HIIRT. Despite these differences, limited research has specifically examined the impact of HIIRT on sedentary women, making it crucial to investigate whether this training method can be an effective and time-efficient strategy for improving body composition and metabolic health in this population (17). Addressing this gap will contribute to the development of gender-specific exercise prescriptions and provide valuable insights into optimizing HIIRT for women.

The importance of HIIRT programs for sedentary women stems from several key factors. First, this type of training provides an efficient and accessible method for improving physical health in individuals with low levels of physical activity. By combining high-intensity efforts with rest periods, HIIRT allows for cardiovascular conditioning and the development of muscular strength while maintaining metabolic efficiency. Secondly, HIIRT has been associated with improved fat metabolism, fat oxidation and body composition, making it a potential strategy to reduce the risk of obesity and metabolic syndrome. In addition, HIIRT can improve exercise participation and motivation due to its time efficiency, thus removing common barriers to physical activity (18, 19).

Despite the growing body of research demonstrating the effectiveness of HIIT, most studies have focused primarily on male participants, leaving a gap in understanding the effects on women. Given the physiological differences in metabolic and cardiovascular responses between the sexes, investigating the effects of HIIRT in physically inactive women is crucial for the development of targeted training protocols. Furthermore, the combination of high-intensity interval principles with resistance training remains under-researched in terms of their acute and chronic physiological adaptations.

Against this background, the present study aims to investigate the physiological and metabolic adaptations resulting from an 8-week HIIRT program in women, with a particular focus on lipid metabolism and body composition. The study will explore both short-term (acute) and long-term (chronic) physiological responses to assess the efficacy of HIIRT as a resistance training method for improving metabolic health in physically inactive individuals. Specifically, it is hypothesized that the HIIRT program will lead to a reduction in body fat percentage and body weight, contributing to overall improvements in body composition. Furthermore, it is expected that HIIRT will induce favorable changes in lipid metabolism, specifically by reducing LDL (low-density lipoprotein) and triglyceride levels while increasing HDL (high-density lipoprotein) levels. These anticipated adaptations align with previous research suggesting that high-intensity resistance training enhances fat oxidation and improves cardiovascular health markers. By addressing these hypotheses, this study seeks to provide valuable insights for sports science, exercise physiology, and public health, particularly in optimizing resistance training interventions for inactive populations.

2 Materials and methods

2.1 Research model

The study uses an experimental research design with a pre-test-post-test training group to investigate the physiological and metabolic adaptations induced by 8 weeks of high-intensity interval resistance training (HIIRT) in women. This model was chosen to assess both acute and chronic physiological changes and to provide a structured and controlled assessment of training-induced adaptations. By using a pre-and posttest comparison, the study aimed to identify significant changes in fat metabolism, body composition and other physiological parameters while minimizing confounding variables (20). Participants were recruited through university announcements and social media platforms. After an initial health screening and informed consent process, eligible participants were enrolled into the HIIRT intervention group.

A total of 30 sedentary women aged 18–30 years (mean age: 23.13 ± 4.03 years, mean BMI: 31.21 ± 2.92 kg/m2) voluntarily participated in this study. Inclusion criteria were: (1) being classified as overweight or obese (BMI ≥ 25 kg/m2), (2) not engaging in regular physical activity (less than 150 min of moderate exercise per week), and (3) having no known cardiovascular, metabolic, or musculoskeletal disorders. Also participants’ physical activity level prior to enrollment was assessed through a structured interview during screening. Participants reported their average weekly frequency and duration of moderate to vigorous physical activity. Those reporting less than 150 min per week were classified as sedentary and eligible for the study (1).

Exclusion criteria included: (1) pregnancy, (2) recent participation in a structured exercise program within the last 6 months, (3) any diagnosed chronic disease affecting metabolic health, and (4) the use of lipid-lowering medications or dietary supplements that could influence lipid metabolism. The study protocol was approved by the Osmaniye University Ethics Committee (Decision No: 35).

2.2 Participant selection and study design

A total of 54 women initially responded to the recruitment announcements. After health screening and eligibility assessment, 34 women met the inclusion criteria and were invited to participate. Of these, four women declined participation after learning about the time commitment required for the intervention. Consequently, 30 women were enrolled in the study. No participants dropped out during the 8-week HIIRT program.

To ensure the study was adequately powered to detect meaningful effects, a preliminary power analysis was conducted using G*Power 3.1 software. A one-tailed paired-sample t-test was selected with an effect size (dz) of 0.80 (large), α = 0.05, and desired power (1–β) = 0.80. The analysis indicated that a minimum of 18 participants would be required. With 30 participants included in the study, our sample exceeded this requirement, ensuring sufficient power to detect significant within-group effects.

Although HIIRT provides notable metabolic and cardiovascular benefits, it may not be suitable for all individuals, particularly overweight and obese women with specific health conditions. Contraindications include uncontrolled hypertension, severe cardiovascular disease, advanced osteoarthritis, or musculoskeletal limitations (21, 22). Therefore, in this study, all participants underwent health screening, and those with cardiovascular, metabolic, or musculoskeletal disorders were excluded. Informed consent was obtained after participants were fully briefed on the study aims, procedures, and potential risks. All training sessions were supervised by qualified professionals to ensure safety and proper execution. No adverse events were reported during the 8-week intervention. Participants were asked to maintain their usual dietary habits throughout the study and were reminded weekly to avoid making intentional dietary changes. Dietary intake was not formally recorded but participants confirmed adherence through weekly check-ins.

2.3 Data collection

2.3.1 Body weight and height measurements

The participants’ body weight and height were measured using a calibrated measuring device with an accuracy of 0.01 kg in kilograms and centimeters. During the measurements, participants were instructed to adopt an upright posture, place their feet flat on the floor, keep their knees straight and heels together and stand upright. They were also asked to step on the scale barefoot to minimize measurement inconsistencies. All body weight and height measurements were conducted in the morning, before breakfast, and at the same time of day for both pre-and post-intervention assessments to ensure consistency.

2.3.2 Bioelectrical impedance analysis (BIA)

Bioelectrical impedance analysis (BIA) has been used since the 1990s as a non-invasive and rapid method for assessing body composition. The BIA measurements in this study were carried out using TANITA brand devices. To ensure the accuracy of the measurements, participants were instructed not to exercise, consume caffeine, or eat breakfast before the measurement. The measurements were taken early in the morning using the Tanita BC 418 model. Before each measurement, the electrodes were cleaned and participants were instructed to walk barefoot on the device to ensure consistent readings.

2.4 Biochemical analyses

Blood samples were collected from all participants at baseline (pre-intervention) and after the 8-week HIIRT program (post-intervention) under standardized conditions. To minimize potential diurnal variations, blood collection was performed between 07:00 and 09:00 a.m. following an overnight fast of at least 10 h. Venous blood samples (5 mL) were drawn from the antecubital vein by a trained phlebotomist under sterile conditions.

The collected samples were immediately stored in vacutainer tubes containing EDTA (for plasma separation) and clot activator tubes (for serum analysis). Plasma and serum were separated by centrifugation at 3,000 rpm for 10 min at 4 °C and stored at −80 °C until analysis.

Lipid profile parameters, including triglycerides (TG), total cholesterol (TC), low-density lipoprotein (LDL), and high-density lipoprotein (HDL), were analyzed using an automated biochemistry analyzer (Beckman Coulter AU5800, Brea, CA, USA). The enzymatic colorimetric method was applied for TC and TG quantification, while HDL and LDL levels were determined using homogeneous direct assays. All biochemical analyses were conducted in a certified clinical laboratory by trained personnel following standard operating procedures.

2.5 Exercise intervention

The training program consisted of 8 weeks of high-intensity interval resistance training (HIIRT) specifically tailored for women aged 18–30 years. The program included bodyweight exercises to improve muscular endurance, strength and metabolic function while minimizing the risk of injury. The training sessions were performed three times a week (Tuesday–Thursday–Saturday) with moderate to high intensity and a progressive loading approach. Progressive overload was implemented by increasing work interval duration, reducing rest intervals, and adding exercise variations with higher difficulty levels across the 8-week program. Participants were required to attend at least 80% of the scheduled sessions (minimum 20 out of 24 sessions) to be considered compliant with the intervention protocol. If a session was missed due to illness or personal reasons, make-up sessions were offered when feasible. In this study, no participants missed more than two sessions, and all met the attendance criteria.

Participants completed dynamic warm-up exercises before each session and cool-down exercises after training to improve flexibility and recovery.

Training principles:

Warm-up (5–10 min): Light endurance training (marching on the spot, arm circles) + flexibility exercises.

Main workout: The duration of the main workout ranged from approximately 15–25 min per session, depending on the training phase and progressive adjustments in volume and intensity.

Cool down (5–10 min): Static stretching and breathing exercises to promote recovery.

The revised HIIRT program has been designed to be safe, progressive and engaging for women, focusing on full body muscle activation, taking into account the fitness level of participants. Based on individual feedback and physiological responses, adjustments were made to optimize adherence and minimize fatigue (Tables 1, 2) (3).

Table 1
www.frontiersin.org

Table 1. High-intensity interval resistance training (HIIRT) program.

Table 2
www.frontiersin.org

Table 2. High-intensity interval resistance training (HIIRT) program.

2.6 Determining exercise intensity

To ensure the appropriate intensity of the 8-week High-Intensity Interval Resistance Training (HIIRT) program, the training load was individually adjusted using the Karvonen formula, which calculates the target heart rate (THR) based on each participant’s resting heart rate (RHR) and maximum heart rate (MHR). This method allows for a personalized intensity adjustment that considers individual cardiovascular fitness levels (23):

Maximum Heart Rate ( MHR ) = 220 Age
Target Heart Rate ( THR ) = ( % Exercise Intensity × ( MHR RHR ) ) + RHR

Participants’ resting heart rates were measured in a seated position after 5 min of rest before the start of the intervention. To ensure that participants maintained the prescribed intensity during training, real-time heart rate monitoring was conducted using Polar H10 heart rate monitors (Polar Electro, Finland), which provide continuous heart rate tracking with Bluetooth connectivity to mobile devices. Coaches closely monitored heart rate data through the Polar Beat mobile application, ensuring that participants remained within the prescribed heart rate reserve (HRR) range throughout each session.

Participants were encouraged to adjust their effort based on real-time heart rate feedback, and any deviations from the target intensity range were corrected immediately by modifying the pace or workload. This continuous monitoring approach ensured adherence to the planned exercise intensity and minimized the risk of overexertion.

2.7 Statistical analysis

Descriptive statistics, including mean and standard deviation, the normality of the difference scores was tested using the Shapiro–Wilk test. The data met the assumptions for parametric testing, and therefore paired-samples t-tests were used. Cohen’s d effect sizes were calculated as the difference between the pretest and posttest means divided by the pooled standard deviation. Interpretation of Cohen’s d followed the extended guidelines proposed by Sawilowsky (24): <0.20 = trivial, 0.20–0.49 = small, 0.50–0.79 = medium, 0.80–1.19 = large, 1.20–1.99 = very large, ≥ 2.0 = huge. The significance level was set at 0.05, and analyses were conducted using SPSS 26.0 software for Windows.

3 Results

The mean age of the women in the study group was 23.13 ± 4.03 years, mean height was 163.83 ± 4.77, mean weight was 83.85 ± 13.96 and mean body mass index was 31.21 ± 2.92 (Table 3).

The HIIRT program resulted in a significant reduction in participants’ body weight (−11.4 kg, p = 0.001, d = 0.96), indicating a large effect size. This suggests a meaningful improvement in metabolic health and a lower risk of obesity-related conditions. Similarly, body fat percentage decreased by 3.1% (p = 0.001, d = 0.92), reflecting a moderate effect that supports enhanced body composition and fitness.

In terms of blood lipid values, triglyceride levels significantly decreased by 8.9 mg/dL (p = 0.001, d = 0.81), which represents a moderate effect and indicates improved lipid metabolism. Total cholesterol levels dropped by 19.7 mg/dL (p = 0.020, d = 1.98), and LDL cholesterol decreased by 8.2 mg/dL (p = 0.004, d = 1.96), both indicating large effect sizes and substantial improvements in cardiovascular risk markers. Meanwhile, HDL cholesterol increased by 10 mg/dL (p = 0.006, d ≥ 2.0), showing a very large effect, which is beneficial for heart health. These combined improvements confirm the efficacy of the HIIRT program in positively altering lipid profiles (Table 5).

Table 3
www.frontiersin.org

Table 3. Table of participants’ physical characteristics.

4 Discussion

This study was conducted to investigate the effects of 8 weeks of high-intensity interval resistance training (HIIRT) on body composition and fat metabolism in women. A physically inactive lifestyle is associated with various metabolic disorders such as obesity, dyslipidemia and cardiovascular disease, and it is of great public health importance to encourage this population to be physically active. By combining resistance and high-intensity interval training components, HIIRT aims to achieve effective physiological adaptations in less time than traditional training methods.

The study results show that the HIIRT program improved body composition by reducing body weight and body fat (Table 4) and produced positive changes in the blood lipid profile (Table 5). In particular, the significant reduction in triglyceride (TG), total cholesterol and LDL levels and the increase in HDL levels demonstrate the positive effects of HIIRT on cardiovascular health. These results support the applicability of HIIRT as a time-efficient and effective training method for women and provide important contributions to studies in this field. Moreover, the present findings align with existing evidence that increased physical activity is associated with improvements in metabolic profile, including favorable changes in lipid metabolism and body composition (1, 18). These relationships further underscore the importance of promoting regular physical activity in sedentary populations.

Table 4
www.frontiersin.org

Table 4. Changes in weight, BMI before and after 8-weeks HIIRT workout program.

Table 5
www.frontiersin.org

Table 5. Blood lipid measurement values according to the exercise program applied.

Recent studies highlight the efficacy of HIIT protocols in improving anthropometric characteristics, body composition, and cardiometabolic health, particularly in populations at risk for metabolic disorders. For example, research by Batrakoulis et al. (2) demonstrated that bodyweight-based HIIT programs significantly improve fat oxidation and insulin sensitivity in overweight individuals, reinforcing the present study’s findings on lipid metabolism improvements. Similarly, Batrakoulis et al. (25) reported substantial benefits of HIIT for both aerobic fitness and psychological well-being, emphasizing that shorter-duration but high-intensity exercise may be more effective than traditional endurance training for overweight populations. These findings align with the results of the current study, which demonstrated significant reductions in total cholesterol and body fat percentage following an 8-week HIIRT protocol.

Furthermore, research has underscored the importance of tailoring HIIT regimens to specific populations to optimize outcomes. Batrakoulis et al. (26) found that HIIT positively impacts neuromuscular performance and functional movement quality, even in older adults. Additionally, Batrakoulis et al. (27) suggested that incorporating individualized intensity adjustments enhances the metabolic benefits of interval training, potentially explaining the observed improvements in lipid metabolism in the present study. Future studies should explore the dose–response relationship between HIIRT intensity and metabolic adaptations, as proposed by Batrakoulis et al. (28), to establish optimal exercise prescriptions for different population groups.

Based on the results of the present study, it has been reported in the literature that lipids used as an energy source during exercise include circulating fatty acids bound to albumin, triglycerides stored in very low density lipoproteins and intramuscular triglyceride stores. In addition, dynamic changes in these lipid pools occur during and after exercise and are thought to be key factors that may regulate changes in fat oxidation in response to different exercise conditions (29).

A review of the literature reveals that studies using high-intensity resistance training (HIIRT) have reported positive effects on lipid metabolism, though results are not entirely consistent across different populations. Tuttor et al. (30) found that HIIRT improved HDL levels, resting glucose, and triglycerides, concluding that such training could be an effective strategy to reduce cardio-metabolic risk. Similarly, Da Silva et al. (31) demonstrated that a 12-week combination of resistance training (RT) and HIIT led to significant reductions in LDL levels, fasting blood glucose (FPG), and insulin resistance in both adults and older adults individuals. These findings align with the current study, which also observed favorable lipid profile changes following an 8-week HIIRT intervention.

However, discrepancies exist in the literature regarding the extent of these effects. For instance, Marcangeli et al. (32) reported that HIIT significantly improved lean mass, muscle strength, and waist circumference in obese older adults, while the current study primarily focused on lipid metabolism rather than anthropometric measures such as waist-to-hip ratio. Furthermore, some studies have failed to observe significant improvements in lipid parameters following HIIT-based training (33, 34), suggesting that individual differences in baseline fitness levels, hormonal status, dietary habits, and adherence to training protocols may influence outcomes. Additionally, gender-related differences must be considered, as Barranco-Ruiz et al. (35) highlighted that sedentary working hours disproportionately affect women, potentially impacting their metabolic responses to exercise interventions. Given these variations, further research is needed to determine the optimal HIIRT duration, intensity, and frequency for different populations, particularly for women, where data remains limited.

In a study conducted on rats (mice), which was based on the assumption that high-intensity interval training (HIIT) can effectively prevent the progression of metabolic diseases, it was found that 8 weeks of HIIT could improve lipid metabolism disorders in rats (36). Previous studies with similar exercise mode and intensity design but with longer intervention duration (4–8 months) have shown significant effects on Total cholesterol, LDL, HDL, and TG (3740). In fact, our research also shows that the high-intensity interval training (HIIT) program enables improvements in fat metabolism. In some studies, no significant effect on blood parameters was found (33, 34, 41, 42).

The current study showed that resistance training improved body composition by reducing body weight and fat percentage in women (Table 4). The results of recent studies have shown that high-intensity resistance training is more feasible and time-efficient than moderate-intensity training and that it is effective in improving body composition, mitochondrial function, insulin sensitivity and glycemic control (43, 44). Kanaley et al. (43) found that it led to weight loss in obese individuals following high-intensity exercise. Wewege et al. (45), in their investigation of the effects of high-intensity interval training (HIIT) compared to continuous moderate-intensity training, concluded that short-term moderate to high-intensity training can lead to modest improvements in body composition in overweight and obese individuals without significant changes in body weight. In addition, it is known that after aerobic exercise, blood triglycerides decrease, total cholesterol either decreases or remains unchanged, while high-density lipoprotein (HDL) cholesterol usually increases and low-density lipoprotein (LDL) cholesterol decreases (45). In addition to studies with similar results to the current study, there are also various studies in the literature that show that high-intensity resistance exercise has no effect on body composition (21, 34, 46, 47).

These contradictory findings suggest that factors such as training duration, exercise protocol, age, gender and physical activity history of the participants may significantly affect the responses to resistance exercise. The HIIRT protocol applied in the present study contributed to positive changes in body composition by engaging both aerobic and anaerobic energy systems. In particular, the study results suggest that high intensity resistance exercise may be effective in reducing fat mass in women.

However, it should be borne in mind that individuals’ physiological responses to exercise may vary depending on genetic, hormonal and metabolic factors. In addition, differences in baseline characteristics such as younger age, sedentary status, and the use of a bodyweight-based progressive HIIRT protocol in our study may partly explain why our findings showed significant effects, whereas some previous studies using different protocols or populations did not observe similar outcomes. Therefore, future studies need to further investigate the interaction between exercise intensity, duration and individual metabolic responses and more fully evaluate the biological mechanisms that may explain these differences. In addition, long-term follow-up studies are crucial to determine the lasting effects of HIIRT on body composition and metabolic health. Moreover, HIIRT’s time-efficient structure and exercise variety may positively influence motivation and adherence, as suggested in previous literature (18, 25). In the current study, the absence of dropouts and full program completion further support its feasibility and participant engagement.

5 Recommendations

Given the promising outcomes observed in the present study, future research should focus on longitudinal investigations assessing the sustained impact of HIIRT on body composition and metabolic health. A key area of interest is determining the dose–response relationship of HIIRT, particularly in populations with varying baseline fitness levels. Batrakoulis et al. (48) emphasized the necessity of controlled clinical trials to evaluate how different HIIRT durations and intensities affect metabolic flexibility, insulin resistance, and lipid metabolism. Investigating the psychological effects of HIIRT, such as adherence rates and motivation levels, could also enhance its applicability in public health interventions. Moreover, future studies should consider gender-specific metabolic responses to HIIRT, as prior research has demonstrated potential sex differences in fat oxidation rates and cardiovascular adaptations to high-intensity training. It should also be acknowledged that psychological responses to HIIRT, such as perceived enjoyment, difficulty, and self-efficacy, may vary among individuals. Future studies should explore these factors to better understand their role in adherence and long-term outcomes. This training approach may also be considered as a practical strategy in public health programs or fitness interventions for sedentary women. Moreover, this type of bodyweight-based HIIRT program may serve as a practical and accessible intervention strategy for sports practice and public health initiatives aimed at improving metabolic health in sedentary women.

6 Conclusion

The findings of this study indicate that an 8-week High-Intensity Interval Resistance Training (HIIRT) program induces significant improvements in body composition and lipid metabolism in physically inactive women with overweight. The results demonstrated a notable reduction in body weight and fat percentage, as well as positive alterations in lipid profiles, including a decrease in triglyceride, total cholesterol, and LDL levels and a substantial increase in HDL levels. These findings suggest that HIIRT is an effective and time-efficient training modality for enhancing cardiovascular and metabolic health in physically inactive populations.

7 Limitations

This study has several limitations that should be acknowledged. One limitation of the present study is the lack of a control group. A single-group pre-post design was chosen due to the exploratory nature of the study and logistical constraints related to participant recruitment and scheduling. Future research should include randomized controlled trials to further validate these findings.

First, although bioelectrical impedance analysis (BIA) was used to assess body composition due to its practicality and accessibility, more precise techniques such as Dual-Energy X-ray Absorptiometry (DEXA) could have provided a more detailed evaluation of fat distribution, lean mass, and visceral adiposity. Future studies should incorporate DEXA scanning or other advanced imaging techniques to enhance the accuracy of body composition assessments.

Second, this study did not include anthropometric measurements such as waist circumference and waist-to-hip ratio, which are crucial indicators of central adiposity and cardiometabolic risk. Given that abdominal fat accumulation is closely linked to metabolic syndrome and cardiovascular diseases, future research should integrate these measures to provide a more comprehensive analysis of training effects on fat distribution and metabolic health.

Third, the study lacked a control group, which limits the ability to determine whether the observed improvements in body composition and lipid metabolism were solely due to the HIIRT intervention or if other external factors (e.g., lifestyle changes, dietary modifications, or seasonal variations) may have influenced the results. Future research should employ randomized controlled trial (RCT) designs to establish stronger causal relationships between HIIRT and metabolic health outcomes.

Additionally, the study’s sample size was relatively small (n = 30) and included only sedentary young women, which may limit the generalizability of the findings to other populations, such as men, older adults, or individuals with metabolic disorders. Expanding the sample size and including more diverse participant groups could provide a broader understanding of HIIRT’s effects across different populations.

Finally, the short intervention period (8 weeks) restricts the ability to assess long-term physiological adaptations and sustainability of improvements in body composition and metabolic parameters. While significant positive changes were observed within this timeframe, longitudinal studies are needed to determine whether HIIRT-induced benefits persist over time and to evaluate the potential for weight regain or metabolic reversals after training cessation.

8 Practical implications

The findings of this study highlight the potential of HIIRT as a time-efficient and accessible exercise strategy for improving body composition and lipid metabolism in sedentary women. Given its effectiveness in reducing body fat, LDL, and triglycerides while increasing HDL, HIIRT can be incorporated into clinical exercise prescriptions for managing obesity and metabolic disorders. Healthcare professionals may recommend HIIRT as a non-pharmacological intervention to reduce cardiovascular risk, while fitness trainers can implement structured HIIRT programs to enhance fat loss and functional strength in clients with limited access to gym facilities. Additionally, public health initiatives could integrate HIIRT into community-based programs to promote physical activity and metabolic health in inactive populations.

Future research should focus on optimizing HIIRT protocols for different age groups and fitness levels to enhance its real-world applicability.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving humans were approved by Osmaniye Korkut Ata University Health Sciences Research Ethics Committee, Prof. Dr. Alpaslan DAYANGAÇ convened on 8/1/2025 at 10.00 a.m. and took the following decision. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

EY: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. TT: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. AA: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. BD: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. MU: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. BB: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. FÇ: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. MY: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. AB: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. AK: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. TC: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. LC: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. HK: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research and/or publication of this article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The authors declare that no Gen AI was used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Bull, FC, Al-Ansari, SS, Biddle, S, Borodulin, K, Buman, MP, Cardon, G, et al. World Health Organization guidelines on physical activity and sedentary behaviour. Br J Sports Med. (2020) 54:1451–62. doi: 10.1136/bjsports-2020-102955

PubMed Abstract | Crossref Full Text | Google Scholar

2. Batrakoulis, A, Jamurtas, AZ, Draganidis, D, Georgakouli, K, Tsimeas, P, Poulios, A, et al. Hybrid neuromuscular training improves cardiometabolic health and alters redox status in inactive overweight and obese women: a randomized controlled trial. Antioxidants. (2021) 10:1601. doi: 10.3390/antiox10101601

PubMed Abstract | Crossref Full Text | Google Scholar

3. Wang, Y, Yang, X, Deng, J, Wang, Z, Yang, D, Han, Y, et al. Combined high-intensity interval and resistance training improves cardiorespiratory fitness more than high-intensity interval training in young women with overweight/obesity: a randomized controlled trial. Front Endocrinol. (2024) 15:1450944. doi: 10.3389/fendo.2024.1450944

PubMed Abstract | Crossref Full Text | Google Scholar

4. Chin, EC, Yu, AP, Lai, CW, Fong, DY, Chan, DK, Wong, SH, et al. Low-frequency HIIT improves body composition and aerobic capacity in overweight men. Med Sci Sports Exerc. (2020) 52:56–66. doi: 10.1249/MSS.0000000000002096

PubMed Abstract | Crossref Full Text | Google Scholar

5. Thompson, WR. Worldwide survey of fitness trends for 2019. ACSMs Health Fit J. (2018) 22:10–7. doi: 10.1249/FIT.0000000000000453

Crossref Full Text | Google Scholar

6. A'Naja, MN, Batrakoulis, A, Camhi, SM, McAvoy, C, Sansone, JS, and Reed, R. 2025 ACSM worldwide fitness trends: future directions of the health and fitness industry. ACSMs Health Fit J. (2024) 28:11–25. doi: 10.1249/FIT.0000000000001017

Crossref Full Text | Google Scholar

7. Batrakoulis, A, Veiga, OL, Franco, S, Thomas, E, Alexopoulos, A, Valcarce-Torrente, M, et al. Health and fitness trends in southern Europe for 2023: a cross-sectional survey. AIMS Public Health. (2023a) 10:378–408. doi: 10.3934/publichealth.2023028

PubMed Abstract | Crossref Full Text | Google Scholar

8. Batrakoulis, A, Keskin, K, Fatolahi, S, Çelik, O, Al-Mhanna, S, and Dinizadeh, F. Health and fitness trends in the post-COVID-19 era in Turkey: a cross-sectional study. Ann Appl Sport Sci. (2024) 12, 1–18. doi: 10.61186/aassjournal.1271

Crossref Full Text | Google Scholar

9. Batrakoulis, A, and Fatouros, IG. Psychological adaptations to high-intensity interval training in overweight and obese adults: a topical review. Sports. (2022) 10:64. doi: 10.3390/sports10050064

PubMed Abstract | Crossref Full Text | Google Scholar

10. Batrakoulis, A, Jamurtas, AZ, Metsios, GS, Perivoliotis, K, Liguori, G, Feito, Y, et al. Comparative efficacy of 5 exercise types on cardiometabolic health in overweight and obese adults: a systematic review and network meta-analysis of 81 randomized controlled trials. Circ Cardiovasc Qual Outcomes. (2022) 15:e008243. doi: 10.1161/CIRCOUTCOMES.121.008243

PubMed Abstract | Crossref Full Text | Google Scholar

11. Al-Mhanna, SB, Franklin, BA, Jakicic, JM, Stamatakis, E, Pescatello, LS, Riebe, D, et al. Impact of resistance training on cardiometabolic health-related indices in patients with type 2 diabetes and overweight/obesity: a systematic review and meta-analysis of randomised controlled trials. Br J Sports Med. (2025) 59:733–46. doi: 10.1136/bjsports-2024-108947

PubMed Abstract | Crossref Full Text | Google Scholar

12. Poulios, A, Fotiou, C, Draganidis, D, Avloniti, A, Rosvoglou, A, Batrakoulis, A, et al. The energy expenditure associated with body-weight resistance exercises of various movement patterns performed at different durations. J Strength Cond Res. (2024) 38:2034–46. doi: 10.1519/JSC.0000000000004919

PubMed Abstract | Crossref Full Text | Google Scholar

13. Buchheit, M, and Laursen, PB. High-intensity interval training, solutions to the programming puzzle: part I: cardiopulmonary emphasis. Sports Med. (2013) 43:313–38. doi: 10.1007/s40279-013-0029-x

PubMed Abstract | Crossref Full Text | Google Scholar

14. Küçük, H, Soyler, M, Ceylan, T, Ceylan, L, and Şahin, F. Effects of acute and chronic high-intensity interval training on serum irisin, BDNF and apelin levels in male soccer referees. J Men's Health. (2024) 20:120–5. doi: 10.31083/j.jomh2002018

Crossref Full Text | Google Scholar

15. Little, JP. A practical model of low-volume high-intensity interval training induces mitochondrial biogenesis in human skeletal muscle: potential mechanisms. J Physiol. (2010) 588:1011–22. doi: 10.1113/jphysiol.2010.186177

PubMed Abstract | Crossref Full Text | Google Scholar

16. Sperlich, B, De Mareés, M, Koehler, K, Linville, J, Holmberg, HC, and Mester, J. Effects of 5 weeks of high-intensity interval training vs. volume training in 14-year-old soccer players. J Strength Cond Res. (2011) 25:1271–8. doi: 10.1519/JSC.0b013e3181d67c38

PubMed Abstract | Crossref Full Text | Google Scholar

17. Bayati, M, Farzad, B, Gharakhnlou, R, and Alinejad, HA. A practical model of low-volume high-intensity interval training induces performance and metabolic adaptations that resemble ‘all-out’ sprint interval training. J Sports Sci Med. (2011) 10:571–6.

PubMed Abstract | Google Scholar

18. Gibala, MJ, Bostad, W, and McCarthy, DG. Physiological adaptations to interval training to promote endurance. Curr Opin Physiol. (2019) 10:180–4. doi: 10.1016/j.cophys.2019.05.010

Crossref Full Text | Google Scholar

19. Scoubeau, C, Bonnechère, B, Cnop, M, Faoro, V, and Klass, M. Effectiveness of whole-body high-intensity interval training on health-related fitness: a systematic review and meta-analysis. Int J Environ Res Public Health. (2022) 19:9559. doi: 10.3390/ijerph19159559

PubMed Abstract | Crossref Full Text | Google Scholar

20. Alessandri, G, Zuffianò, A, and Perinelli, E. Evaluating intervention programs with a pretest-posttest design: a structural equation modeling approach. Front Psychol. (2017) 8:223. doi: 10.3389/fpsyg.2017.00223

PubMed Abstract | Crossref Full Text | Google Scholar

21. Scoubeau, C, Klass, M, Celie, B, Godefroid, C, Cnop, M, and Faoro, V. Health-related fitness benefits following concurrent high-intensity interval training and resistance training in patients with type-1 diabetes or type-2 diabetes. Front Physiol. (2024) 15:1466148. doi: 10.3389/fphys.2024.1466148

PubMed Abstract | Crossref Full Text | Google Scholar

22. Weston, KS, Wisløff, U, and Coombes, JS. High-intensity interval training in patients with lifestyle-induced cardiometabolic disease: a systematic review and meta-analysis. Br J Sports Med. (2014) 48:1227–34. doi: 10.1136/bjsports-2013-092576

PubMed Abstract | Crossref Full Text | Google Scholar

23. Karvonen, J, and Vuorimaa, T. Heart rate and exercise intensity during sports activities: practical application. Sports Med. (1988) 5:303–12. doi: 10.2165/00007256-198805040-00005

Crossref Full Text | Google Scholar

24. Sawilowsky, SS. New effect size rules of thumb. J Mod Appl Stat Methods. (2009) 8:597–9. doi: 10.22237/jmasm/1257035100

Crossref Full Text | Google Scholar

25. Batrakoulis, A, Loules, G, Georgakouli, K, Tsimeas, P, Draganidis, D, Chatzinikolaou, A, et al. High-intensity interval neuromuscular training promotes exercise behavioral regulation, adherence and weight loss in inactive obese women. Eur J Sport Sci. (2020a) 20:783–92. doi: 10.1080/17461391.2019.1663270

PubMed Abstract | Crossref Full Text | Google Scholar

26. Batrakoulis, A, Jamurtas, AZ, Tsimeas, P, Poulios, A, Perivoliotis, K, Syrou, N, et al. Hybrid-type, multicomponent interval training upregulates musculoskeletal fitness of adults with overweight and obesity in a volume-dependent manner: a 1-year dose-response randomised controlled trial. Eur J Sport Sci. (2023b) 23:432–43. doi: 10.1080/17461391.2021.2025434

PubMed Abstract | Crossref Full Text | Google Scholar

27. Batrakoulis, A, Tsimeas, P, Deli, CK, Vlachopoulos, D, Ubago-Guisado, E, Poulios, A, et al. Hybrid neuromuscular training promotes musculoskeletal adaptations in inactive overweight and obese women: a training-detraining randomized controlled trial. J Sports Sci. (2020b) 39:503–12. doi: 10.1080/02640414.2020.1830543

PubMed Abstract | Crossref Full Text | Google Scholar

28. Batrakoulis, A, Jamurtas, AZ, Georgakouli, K, Draganidis, D, Deli, CK, Papanikolaou, K, et al. High intensity, circuit-type integrated neuromuscular training alters energy balance and reduces body mass and fat in obese women: a 10-month training-detraining randomized controlled trial. PLoS One. (2018) 13:e0202390. doi: 10.1371/journal.pone.0202390

PubMed Abstract | Crossref Full Text | Google Scholar

29. Noland, RC. Exercise and regulation of lipid metabolism. Prog Mol Biol Transl Sci. (2015) 135:39–74. doi: 10.1016/bs.pmbts.2015.06.015

Crossref Full Text | Google Scholar

30. Tuttor, M, von Stengel, S, Kohl, M, Lell, M, Scharf, M, Uder, M, et al. High-intensity resistance exercise training vs. high-intensity (endurance) interval training to fight cardiometabolic risk factors in overweight men 30–50 years old. Fronti Sports Act Living. (2020) 2:68. doi: 10.3389/fspor.2020.00068

PubMed Abstract | Crossref Full Text | Google Scholar

31. Da Silva, MAR, Baptista, LC, Neves, RS, De França, E, Loureiro, H, Lira, FS, et al. The effects of concurrent training combining both resistance exercise and high-intensity interval training or moderate-intensity continuous training on metabolic syndrome. Front Physiol. (2020) 11:572. doi: 10.3389/fphys.2020.00572

PubMed Abstract | Crossref Full Text | Google Scholar

32. Marcangeli, V, Schaun, GZ, Simao, R, Ramis, TR, Pinto, RS, and Boullosa, D. Impact of high-intensity interval training with or without l-citrulline on physical performance, skeletal muscle, and adipose tissue in obese older adults. J Cachexia Sarcopenia Muscle. (2022) 13:1526–40. doi: 10.1002/jcsm.12961

PubMed Abstract | Crossref Full Text | Google Scholar

33. Bird, SR, and Hawley, JA. Update on the effects of physical activity on insulin sensitivity in humans. BMJ Open Sport Exerc Med. (2017) 2:e000143. doi: 10.1136/bmjsem-2016-000143

PubMed Abstract | Crossref Full Text | Google Scholar

34. Ostman, C, Smart, NA, Morcos, D, Duller, A, Ridley, W, and Jewiss, D. The effect of exercise training on clinical outcomes in patients with metabolic syndrome: a systematic review and meta-analysis. Cardiovasc Diabetol. (2017) 16:110. doi: 10.1186/s12933-017-0590-y

PubMed Abstract | Crossref Full Text | Google Scholar

35. Barranco-Ruiz, Y, Villa-González, E, Hernández-Martínez, A, Esteban-Cornejo, I, Cadenas-Sanchez, C, Migueles, JH, et al. Effect of two choreographed fitness group-workouts on the body composition, cardiovascular and metabolic health of sedentary female workers. Int J Environ Res Public Health. (2019) 16:4986. doi: 10.3390/ijerph16244986

PubMed Abstract | Crossref Full Text | Google Scholar

36. Wang, Y, Zhang, X, Chen, Z, Li, J, Liu, H, and Liu, Y. HIIT ameliorates inflammation and lipid metabolism by regulating macrophage polarization and mitochondrial dynamics in the liver of type 2 diabetes mellitus mice. Metabolites. (2022) 13:14. doi: 10.3390/metabo13010014

PubMed Abstract | Crossref Full Text | Google Scholar

37. Choi, S-J, Chang, JS, and Kong, ID. Effects of a social welfare program for health promotion on cardiovascular risk factors. J Lifestyle Med. (2015) 5:76–83. doi: 10.15280/jlm.2015.5.2.76

PubMed Abstract | Crossref Full Text | Google Scholar

38. Currie, KD, Bailey, KJ, Jung, ME, Mckelvie, RS, and Macdonald, MJ. Effects of resistance training combined with moderate-intensity endurance or low-volume high-intensity interval exercise on cardiovascular risk factors in patients with coronary artery disease. J Sci Med Sport. (2015) 18:637–42. doi: 10.1016/j.jsams.2014.09.013

PubMed Abstract | Crossref Full Text | Google Scholar

39. Theodorou, AA, Panayiotou, G, Volaklis, KA, Douda, HT, Paschalis, V, Nikolaidis, MG, et al. Aerobic, resistance and combined training and detraining on body composition, muscle strength, lipid profile and inflammation in coronary artery disease patients. Res Sports Med. (2016) 24:171–84. doi: 10.1080/15438627.2016.1191488

PubMed Abstract | Crossref Full Text | Google Scholar

40. Weakley, J, McLaren, S, Ramirez-Lopez, C, García-Ramos, A, Dalton-Barron, N, Banyard, H, et al. Application of velocity loss thresholds during free-weight resistance training: responses and reproducibility of perceptual, metabolic, and neuromuscular outcomes. J Sports Sci. (2019) 38:477–85. doi: 10.1080/02640414.2019.1706831

PubMed Abstract | Crossref Full Text | Google Scholar

41. Agner, VFC, Garcia, MC, Taffarel, AA, Mourão, CB, Da Silva, IP, Da Silva, SP, et al. Effects of concurrent training on muscle strength in older adults with metabolic syndrome: a randomized controlled clinical trial. Arch Gerontol Geriatr. (2018) 75:158–64. doi: 10.1016/j.archger.2017.12.011

PubMed Abstract | Crossref Full Text | Google Scholar

42. Robinson, MM, Dasari, S, Konopka, AR, Johnson, ML, Manjunatha, S, Esponda, RR, et al. Enhanced protein translation underlies improved metabolic and physical adaptations to different exercise training modes in young and old humans. Cell Metab. (2017) 25:581–92. doi: 10.1016/j.cmet.2017.02.009

PubMed Abstract | Crossref Full Text | Google Scholar

43. Kanaley, JA, Colberg, SR, Corcoran, MH, Malin, SK, Rodriguez, NR, Crespo, CJ, et al. Exercise/physical activity in individuals with type 2 diabetes: a consensus statement from the American College of Sports Medicine. Med Sci Sports Exerc. (2022) 54:353–68. doi: 10.1249/MSS.0000000000002800

PubMed Abstract | Crossref Full Text | Google Scholar

44. Murillo, S, Brugnara, L, Servitja, JM, and Novials, A. High-intensity interval training reduces hypoglycemic events compared with continuous aerobic training in individuals with type 1 diabetes: HIIT and hypoglycemia in type 1 diabetes. Diabetes Metab. (2022) 48:101361. doi: 10.1016/j.diabet.2022.101361

PubMed Abstract | Crossref Full Text | Google Scholar

45. Wewege, M, van den Berg, R, Ward, RE, and Keech, A. The effects of high-intensity interval training vs. moderate-intensity continuous training on body composition in overweight and obese adults: a systematic review and meta-analysis. Obes Rev. (2017) 18:635–46. doi: 10.1111/obr.12532

PubMed Abstract | Crossref Full Text | Google Scholar

46. Maillard, F, Rousset, S, Pereira, B, Traore, A, Del Amaze, d P, Boirie, Y, et al. High-intensity interval training reduces abdominal fat mass in postmenopausal women with type 2 diabetes. Diabetes Metab. (2016) 42:433–41. doi: 10.1016/j.diabet.2016.07.031

PubMed Abstract | Crossref Full Text | Google Scholar

47. Swift, DL, McGee, JE, Earnest, CP, Carlisle, E, Nygard, M, and Johannsen, NM. The effects of exercise and physical activity on weight loss and maintenance. Prog Cardiovasc Dis. (2018) 61:206–13. doi: 10.1016/j.pcad.2018.07.014

PubMed Abstract | Crossref Full Text | Google Scholar

48. Batrakoulis, A, Fatouros, IG, Chatzinikolaou, A, Draganidis, D, Georgakouli, K, Papanikolaou, K, et al. Dose-response effects of high-intensity interval neuromuscular exercise training on weight loss, performance, health and quality of life in inactive obese adults: study rationale, design and methods of the DoIT trial. Contemp Clin Trials Commun. (2019) 15:100386. doi: 10.1016/j.conctc.2019.100386

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: high-intensity interval resistance training (HIIRT), young women, body composition, lipid metabolism, overweight

Citation: Yamaner E, Turğut T, Aksoy A, Demirkıran B, Uçar MA, Başoğlu B, Çamiçi F, Yanar MS, Bülbül A, Koç AF, Ceylan T, Ceylan L and Küçük H (2025) Impact of an 8-week high-intensity bodyweight interval training on body composition and blood lipid metabolism in young women with overweight. Front. Public Health. 13:1578569. doi: 10.3389/fpubh.2025.1578569

Received: 17 February 2025; Accepted: 14 August 2025;
Published: 17 October 2025.

Edited by:

Amador García Ramos, University of Granada, Spain

Reviewed by:

Luiz Augusto da Silva, State University of Midwest Paraná, Brazil
Ida Laudańska-Krzemińska, Poznan University of Physical Education, Poland

Copyright © 2025 Yamaner, Turğut, Aksoy, Demirkıran, Uçar, Başoğlu, Çamiçi, Yanar, Bülbül, Koç, Ceylan, Ceylan and Küçük. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Levent Ceylan, bGV2ZW50Y2V5bGFuMTdAaG90bWFpbC5jb20=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.