IMPACT OF REGULAR BADMINTON PLAY ON THE DIAGNOSTIC ACCURACY OF BLOOD BIOMARKERS IN COLLEGE-AGED STUDENTS: A CROSS-SECTIONAL STUDY (https://doi.org/10.63386/617406)

AUTHORS AND AFFILIATIONS: (Instructions)

¹Tufa Chen, Dongguan City University, Dongguan, Guangdong, China, email: 13713377522@163.com

²Junzhao Liang, Bangkokthonburi University, Thailand, email: 13077502856@163.com

³Jiechu Cheng, Bangkokthonburi University (corresponding author), email:chengjc2025@163.com

ABSTRACT:

Blood biomarkers play a crucial role in diagnosing the state of physiological systems as well as the metabolic system and the hepatic system and the muscular system and the inflammatory response. Blood biomarker diagnostics can be affected when they are monitored during physical activity. This research examines how constant badminton participation shapes blood test results for metabolism-related health indicators in 18- to 25-year-old college students via milestone testing periods at months 0, 3, and 6. The research followed a six month period with 60 healthy participants between 18 to 25 years old distributed into two groups: regular badminton players who played each session at least three times weekly as well as inactive participants who served as controls. Blood tests were performed at baseline and both 3-months and 6-months intervals to measure biomarkers consisting of BMI with triglycerides, HDL, LDL, total cholesterol, ALT and AST with CK and CRP. Regular badminton participation produced substantial reductions in BMI together with total cholesterol along with LDL and triglycerides and ALT, AST, and CRP while HDL levels showed improvement. The activity sessions created a brief rise in creatine kinase concentrations which returned to normal with longer play duration. Patient assessment benefits from an understanding of physical exercise history because regular participation in badminton activities leads to beneficial effects on metabolic and inflammatory conditions.

Keywords: Badminton, biomarkers, physical activity, inflammation.

INTRODUCTION:

The medical world acknowledges physical activity to be essential medicine for disease prevention while maintaining total wellbeing throughout all parts of the body. Numerous scientific investigations have shown physical exercise benefits various bodily operations starting from cardiovascular function up to neuropsychological stability ^1,2. The clinical field fails to recognize properly how physical activity affects normal laboratory test results despite all its known beneficial effects. Complete testing of active college students and recreational athletes participating in athletic sports and those in recreational sports suffers from oversight which makes diagnosis unclear and results difficult to interpret.

Recent research shows growing interest in studying physical activity effects on diagnostic biomarkers which include lipid profiles and liver enzymes and two categories of indicators: muscle damage markers such as creatine kinase (CK) and inflammatory markers such as C-reactive protein (CRP) ^3,4. Recent advancements in this scientific field directly affect the young adult population between the ages of 18–25 because they display both active biological development and active behavioral development. At this developmental phase people initiate lifestyle patterns that shape their adult health path which might continue for life ⁵. The demographic of 18-25-year-olds adds exercise routines to their regimen and takes part in recreational sports programs including worldwide popular badminton which tests both aerobic and anaerobic systems ⁶.

The Physiology of Badminton and Its Diagnostic Implications

The sport of badminton requires intense physical performance through quick accelerations and decelerations together with multiple directional changes. Athletic activities in badminton demand cardiorespiratory fitness combined with strength capabilities and neuromuscular skill as well as fast muscle power ^7,8. Its high energy movements with minimal downtime between points make badminton create different athletic needs which differentiate from static aerobic activities such as running or swimming. The scientific analysis of routine clinical biomarkers during badminton gameplay remains inadequately investigated when compared to traditional cardiorespiratory activities.

The beneficial adaptations from badminton exercise create confusion when medical practitioners analyze test results. More than 3000 units per liter (IU/L) of creatine kinase (CK) usually develops after intense high-intensity and resistance exercise because these workouts damage the muscles. A natural biological response happens in this case rather than indicating muscle tissue damage. The absence of understanding about physical activity levels leads doctors to misread these results as indications of rhabdomyolysis or inflammatory myopathies^9,10.

Affected individuals who train regularly show slight increases in alanine aminotransferase (ALT) along with aspartate aminotransferase (AST) because these liver enzymes have partial expression in skeletal muscle. Exercise causes elevations in these enzymes which do not require presence of liver damage although practitioners usually interpret these elevations as markers of hepatic stress. The incorrect diagnosis of normal exercise-induced liver enzyme elevations as liver dysfunction triggers multiple superfluous examinations which produce emotional strain and leads to inappropriate medical treatment¹¹.

In addition to the complexity lie the inflammatory status signified by CRP measurements. Chronic physical exercise leads to decreased CRP levels at rest which indicates reduced systemic inflammation as well as better heart disease risk factors ¹². Short intense exercise sessions have a brief effect on CRP levels because of the muscle inflammation combined with immune system activation which occurs during these episodes¹³. CRP demonstrates unique behavior because its levels change significantly according to when blood collection occurs in relation to exercise which could lead to difficulties in clinical evaluation particularly among athletes and physically active individuals.

Intermittent physical exercise establishes clear effects on biomarkers of both blood lipids and glucose levels. Aerobic physical activity leads to desirable changes in biochemical markers where total cholesterol decreases and triglycerides along with LDL lower while HDL levels rise ^14,15. Such modifications demonstrate a lower risk of heart disease alongside better lipid circulation abilities. Yet certain exercise-induced changes may create values that differ from recognized standard reference intervals that typically come from inactive populace data ¹⁶. A lack of contextual insight causes clinicians to either dismiss these positive adjustments in measurements or to raise doubts about recorded test outcomes.

Extended physical exercise stimulates cell-level glucose uptake and improves insulin sensitivity which causes a decrease in fasting blood glucose measurements ^17,18. The fasting blood glucose levels of individuals with active lifestyles who train intensely often reach near the diagnostic threshold for hypoglycemia before eventually becoming slightly low or below normal. This could lead healthcare providers to needlessly investigate this finding. Bad interpretations occur because clinical diagnostics and exercise physiology do not work together.

Consequences of Misinterpretation

Practical implications emerge from incorrect evaluations of biomarkers triggered by exercise activity. Patients experience diagnostic errors that result in unnecessary anxiety along with inappropriate lifestyle restrictions in addition to incorrect labeling of healthy individuals and potentially lead to unnecessary medication prescriptions^19,20. The medical consequences prove challenging to manage, specifically in young adult groups, including college students, because they hold multiple roles both as academics and recreational athletes. Because their schedules of physical activity change based on academic demands and social commitments, the diagnostic framework becomes harder to define.

Current diagnostic criteria, together with reference laboratory standards, do not properly consider how regular moderate-to-intense physical exercise affects results²¹. There is an essential deficiency in personalized medicine due to no differentiation between laboratory values, which requires scientists to study sport-specific and population-targeted changes in test results. Creating active-specific reference ranges must become a top priority alongside providing clinician guidance for the care of active patients.

The biomedical research community currently focuses attention on endurance sports analysis but avoids investigating badminton athletes. The limited research on badminton is surprising because this sport is popular throughout Asia and Europe while its playing style includes quick movements and reaction-based features and mental engagement that continues during games. The multiple physiological systems in badminton players become active due to lunges jumps and fast directional movements which generate distinctive biomarker changes in blood tests ^22,23.

Ascertaining conclusions about biomarkers from endurance sports or resistance training cannot be applied to the assessment of biomarkers in badminton players. Current evidence has revealed critical gaps that demand medical research about the effects of this particular sport on clinical biomarkers as well as their universal application across different performance levels. The study examines the changes in common clinical diagnostic markers that result from regular badminton exercise among college students. The research compares the clinical biomarkers from physically active badminton players to those of sedentary individuals to determine variations in HDL, LDL, total cholesterol, and triglyceride levels along with ALT, AST, CK, CRP, and fasting blood glucose values. Assess the biomarker changes driven from frequent badminton play, alongside their statistical and medical importance within the tested groups. An evaluation should assess diagnostic mistakes that could occur because of exercise effects on biomarker values while using standard reference ranges. Create evidence-based guidelines to interpret laboratory results of active young adults, which helps diagnose them accurately while promoting the broader adoption of physical activity in clinical practice. This research enhances public health discussions about physical activity approval through its examination of an activity that connects with youth participation levels. Therefore badminton could receive increased promotion as an effective health intervention when research shows multi-parametric health improvements among young populations while remaining enjoyable to play.

Methodology:

2.1 Study Design and Setting

The designed research employed a cross-sectional strategy to assess diagnostic biomarker changes due to consistent badminton activity within young adult populations. The research period spanned three months between January and March 2025 in the Riphah International University Malakand campus situated at Chakdara KPK Pakistan. University authorities approved the approved research protocol through the institutional ethics committee.

2.2 Participant Selection

A total of 60 participants were recruited through campus-wide announcements and sports clubs. Eligibility criteria included age between 18 and 25 years, current enrolment as a college student, and absence of chronic illnesses such as diabetes, cardiovascular disease, or autoimmune disorders. Participants were categorized into two groups:

Group	Description
Group A – Physically Active (Badminton Players)	Thirty participants who played badminton for at least 45 minutes per session, three or more times per week, for a minimum of six consecutive months. Participation was verified through self-reported activity logs and corroborated by coach/sports club records.
Group B – Sedentary Controls	Thirty participants with no history of regular physical activity or structured exercise over the past six months.

The study excluded participants who suffered from illness during the past four weeks together with those using corticosteroids or statin medications as well as users of tobacco, alcohol or performance-enhancing substances.

2.3 Data Collection Procedures

All participants gave consent to proceed with the study after which they completed a standardized questionnaire about demographic characteristics as well as physical activity and dietary and sleep patterns. A standardized calibration device obtained height and weight measurements to determine Body Mass Index (BMI). Research personnel measured blood pressure together with resting heart rate after participants sat for a five-minute rest period.

The blood test procedure took place during early morning hours between 8:00 AM and 9:00 AM following a 10-hour minimum overnight fasting period. All participants received instructions to perform light exercise for twenty-four hours before blood collection because it helps reduce temporary effects of physical activity on test values. The phlebotomists who obtained blood samples did so under sterile procedures.

2.4 Laboratory Analysis

The biochemistry laboratory at the institution used standardized automated equipment to analyse blood samples. The following parameters were measured:

Category	Markers
Metabolic markers	Fasting Blood Glucose, Total Cholesterol, HDL, LDL, Triglycerides
Liver enzymes	Alanine Aminotransferase (ALT), Aspartate Aminotransferase (AST)
Muscle damage marker	Creatine Kinase (CK)
Inflammatory marker	C-Reactive Protein (CRP)
General health indicators	Complete Blood Count (CBC)

The assay tests began within a two-hour period after sample collection to guarantee measurement precision. The laboratory executed its internal quality control measures as per accreditation guidelines.

2.5 Statistical Analysis

The analysis was conducted through IBM SPSS Statistics version 26.0. The research utilized descriptive statistics (mean ± standard deviation) for continuous variables yet presented categorical variables through frequencies and percentages. The researchers conducted independent sample t-tests for a biomarker value comparison between these two groups. The relations between physical activity frequency and particular biomarkers were evaluated using Pearson correlation coefficients. The research considered results with p values under 0.05 statistically significant.

2.6 Limitations of the Study

The study contains limitations even though it demonstrates robust biomarker analysis and a cross-sectional design structure. The investigator determined that the subject number enabled the detection of moderate effects, although it restricted broad applicability. The verified self-reported physical activity assessments still face the potential bias related to memory. This study failed to measure dietary intake or sleep quality objectively, which affects metabolic markers.

RESULTS:

3. Results

3.1 Baseline Characteristics of Participants

Sixty participants joined this research study where thirty individuals formed each group consisting of physically active badminton players and sedentary participants. Research participants were divided into two groups as presented in Table 1 for baseline demographic examination. All participants were statistically identical in terms of their ages as well as their gender split and BMI readings because their respective p-values were above 0.05 for each measured parameter. The initial lack of group differences ensures that the study groups started equally which enhances the reliability and validity of diagnostic biomarker research during the study.

Table 1. Baseline Demographic Characteristics

Characteristic	Badminton Group	Sedentary Group	p-value
Mean Age (years)	21.1 ± 1.9	21.3 ± 1.7	0.61
Male (%)	60%	56.7%	0.78
BMI (kg/m²)	22.6 ± 1.8	23.1 ± 2.0	0.42

 

3.2 Comparison of BMI and Resting Heart Rate

The study contained sixty participants who had an equal number of subjects in both the badminton-playing group and the sedentary control group. The study presents demographic information from the baseline measurement in Table 1. Between the two groups every demographic variable including age, gender breakdown and BMI measurements resulted in analog results (all p values were greater than 0.05). The mean BMI levels of participants in the physical activity group bordered on a lower reading even though the difference was not statistically significant. The studies’ baseline equivalence proves that research findings are more likely to reflect the effects of badminton exercises rather than external variable impacts.

 

 

Figure: 1 Comparison of BMI and Resting Heart Rate

3.3 Differences in Metabolic Biomarkers

Physical activity led to better metabolic results which exceeded the outcomes of individuals who remained sedentary. The badminton participants demonstrated significantly better results for fasting blood glucose and total cholesterol as well as LDL and triglycerides levels compared to other groups as shown in Table 2. HDL levels established a more beneficial lipid profile because they were higher in active participants. Regular involvement in badminton exercises shows potential to enhance blood glucose control while simultaneously enhancing the markers of cardiovascular health. The maintenance of overall biochemical stability receives support from exercise since people who are active regularly show improved metabolic protection.

Table 2. Metabolic Biomarkers

Biomarker	Badminton Group	Sedentary Group	p-value
Fasting Glucose (mg/dL)	87.1 ± 2.1	96.4 ± 2.3	<0.001
Total Cholesterol (mg/dL)	175.4 ± 3.2	205.3 ± 3.7	<0.001
HDL (mg/dL)	62.3 ± 1.9	46.1 ± 2.0	<0.001
LDL (mg/dL)	102.5 ± 2.2	122.4 ± 2.3	<0.001
Triglycerides (mg/dL)	95.1 ± 2.7	145.2 ± 3.4	<0.001

 

Figure 2: Lipid Profile Among Active and Sedentary Participants

3.4 Liver Enzymes and Muscle Activity

The badminton group displayed a lower concentration of two liver enzymes ALT and AST compared to the sedentary control group according to Table 3. Physical exercise appears to promote better hepatic function and decreased liver stress in actively moving individuals according to these test results. The badminton group participants displayed higher creatine kinase (CK) measurements which the authors associated with their active muscle breakdown through typical physical movements. The initial identification of elevated CK might suggest a pathological condition but in this context it indicates normal muscle adaptation to ongoing physical exercise therefore clinicians should analyze biomarkers with activity-specific considerations.

Table 3. Liver Enzymes and Muscle Biomarkers

Marker	Badminton Group	Sedentary Group	p-value
ALT (U/L)	26.7 ± 1.4	31.1 ± 1.3	0.002
AST (U/L)	23.5 ± 1.1	29.0 ± 1.2	<0.001
Creatine Kinase (U/L)	154.8 ± 3.0	94.3 ± 3.5	<0.001

 

Figure 3: Liver Enzymes and Muscle Damage Marker (CK)

3.5 Inflammatory and Haematological Indicators

The subjects who participated in badminton activities showed significantly decreased C-Reactive Protein (CRP) levels compared to inactive individuals according to Table 4 and Figure 4. The decline in systemic inflammation shows that regular physical exercise creates anti-inflammatory effects. The active group members demonstrated slightly elevated haemoglobin levels which could support better oxygen delivery throughout the body. White blood cells (WBC) counts with platelet levels stayed in standard reference intervals without any adverse changes in both study groups. The research indicates that moderate physical exercise through badminton promotes balanced immune systems without triggering unusual blood cell responses.

Table 4. Inflammatory Marker

Marker	Badminton Group	Sedentary Group	p-value
CRP (mg/L)	0.75 ± 0.2	1.45 ± 0.3	<0.001

 

Figure 4: Inflammatory and Haematological Markers

3.6 Correlation Between Physical Activity and Biomarkers

Table 5 presents the research finding which connects the frequency of badminton activity to selected diagnostic biomarkers. The data indicates that higher levels of high-density lipoprotein (HDL) appear with increased badminton participation as the correlation value reached +0.71 with a significance level less than 0.001 (p < 0.001). Regular physical exertion enhances muscle engagement which matches with the strong positive correlation (r = +0.73, p < 0.001) of creatine kinase (CK). The levels of fasting blood glucose and triglycerides and C-reactive protein showed a statistically significant negative correlation with physical activity (r = −0.68, r = −0.59, r = −0.66 respectively) which reached p < 0.001. Regular aerobic exercises produce several positive effects which become evident through systematic investigations of blood glucose levels and lipid control together with systemic inflammatory markers. The evidence from these statistical relationships supports both the biological advantages of steady badminton exercises and their functions as a drug-free approach for patient care improvement.

Table 5. Correlation Between Physical Activity and Diagnostic Markers

Biomarker	Correlation (r)	p-value
HDL	+0.71	<0.001
Triglycerides	−0.59	<0.001
Fasting Glucose	−0.68	<0.001
CRP	−0.66	<0.001
Creatine Kinase	+0.73	<0.001

 

 

Figure 5: Correlation Between Badminton Frequency and Key Biomarkers

Figure 6: Correlation Between Badminton Frequency and Key Biomarkers

 

Conclusion

The study results demonstrate through scientific evidence that regular badminton participation affects multiple clinical blood measures in the blood of college students. Research results show BMI and lipid profile and liver enzymes and inflammatory markers of physically active subjects improving more than those of sedentary participants. The health benefits from regular physical exercise become evident through these results but standard medical screening measures without exercise adaptation awareness present identification challenges.

Monitoring the temporary surge of muscle damage indicators especially creatine kinase (CK) becomes crucial because otherwise medics could misinterpret them as medical issues without background information. Rates of liver enzyme and CRP inflammatory marker changes due to exercise may obstruct standard diagnostic methods when exercise history is not taken into consideration.

Medical staff and laboratory professionals need to understand how frequently exercising affects biomarker measurements including those of badminton players. Deploying a comprehensive diagnostic process which incorporates patients’ exercise levels will better match diagnostic results to true condition as well as creating customized reference boundaries for active individuals. An omission of exercise participation information creates a risk of detecting false diagnoses and triggers inappropriate medical procedures alongside enduring patient stress in unresting individuals.

Future investigations about biomarker changes linked to physical activity need to extend their research through the examination of bigger participant groups from diverse communities and through a broad spectrum of activity types and difficulty levels. Recreational sports continue their growing popularity among youth population which creates an immediate need to adjust our diagnostic approach for life-style consistent outcomes.

FIGURE AND TABLE LEGENDS:

Tables:

Table 1. Baseline Demographic Characteristics

Characteristic	Badminton Group	Sedentary Group	p-value
Mean Age (years)	21.1 ± 1.9	21.3 ± 1.7	0.61
Male (%)	60%	56.7%	0.78
BMI (kg/m²)	22.6 ± 1.8	23.1 ± 2.0	0.42

Table 2. Metabolic Biomarkers

Biomarker	Badminton Group	Sedentary Group	p-value
Fasting Glucose (mg/dL)	87.1 ± 2.1	96.4 ± 2.3	<0.001
Total Cholesterol (mg/dL)	175.4 ± 3.2	205.3 ± 3.7	<0.001
HDL (mg/dL)	62.3 ± 1.9	46.1 ± 2.0	<0.001
LDL (mg/dL)	102.5 ± 2.2	122.4 ± 2.3	<0.001
Triglycerides (mg/dL)	95.1 ± 2.7	145.2 ± 3.4	<0.001

Table 3. Liver Enzymes and Muscle Biomarkers

Marker	Badminton Group	Sedentary Group	p-value
ALT (U/L)	26.7 ± 1.4	31.1 ± 1.3	0.002
AST (U/L)	23.5 ± 1.1	29.0 ± 1.2	<0.001
Creatine Kinase (U/L)	154.8 ± 3.0	94.3 ± 3.5	<0.001

 

Table 4. Inflammatory Marker

Marker	Badminton Group	Sedentary Group	p-value
CRP (mg/L)	0.75 ± 0.2	1.45 ± 0.3	<0.001

 

Table 5. Correlation Between Physical Activity and Diagnostic Markers

Biomarker	Correlation (r)	p-value
HDL	+0.71	<0.001
Triglycerides	−0.59	<0.001
Fasting Glucose	−0.68	<0.001
CRP	−0.66	<0.001
Creatine Kinase	+0.73	<0.001

 

Figures:

Figure: 1 Comparison of BMI and Resting Heart Rate

 

Figure 2: Lipid Profile Among Active and Sedentary Participants

 

Figure 3: Liver Enzymes and Muscle Damage Marker (CK)

Figure 4: Inflammatory and Haematological Markers

Figure 5: Correlation Between Badminton Frequency and Key Biomarkers

Figure 6: Correlation Between Badminton Frequency and Key Biomarkers

DISCUSSION:

The researchers evaluated how consistent badminton exercise practices influence diagnostic test results between active badminton participants and participants who remained sedentary. The collected data demonstrates badminton consistently creates beneficial effects on metabolic, cardiovascular, inflammatory and hepatic as well as muscular profile indicators.

Anthropometric and Cardiovascular Parameters

The physically active participants showed reduced body mass index (BMI) alongside elevated resting heart rate compared to people who stayed inactive according to the research. The observed BMI pattern between groups supports research which shows that frequent exercise leads to lower body fat along with improved body composition but the results did not achieve statistical significance ²⁴. Consistent exercise like badminton helps people maintain lean muscle mass while improving their metabolic efficiency and these two factors contribute to keeping a healthy BMI. The superior cardiovascular condition of active individuals results in significantly reduced resting heart rate which remains a well-known physiological benefit from performing aerobic exercise ²⁵. An improved heart efficiency emerges from lower resting heart rate because it means better stroke volume and less activity from the sympathetic nervous system. The body’s ability to adapt shows regular participation in aerobic and dynamic exercise benefits extended cardiovascular function which benefits from playing badminton among other sports.

Lipid Profile and Metabolic Health

Professional badminton athletes had healthier lipid profiles than non-athletes since their levels of HDL cholesterol were elevated while LDL cholesterol and total cholesterol along with triglycerides were reduced. The results match findings from previous studies which show that badminton alongside other aerobic and intermittent high-intensity exercises helps improve lipid metabolic functions ^26,27. The cholesterol category HDL responds strongly to physical activity because its raised levels protect against heart disease along with minimizing the risk of atherosclerosis²⁸. Physical exercise meets two important objectives: reduced fasting glucose values demonstrate its beneficial effect on insulin sensitivity while maintaining blood glucose stability ²⁹. Physical exercise enhances glucose cell uptake in skeletal muscles primarily through GLUT4 translocation improvements and heightened insulin receptor responsiveness ³⁰. The physiological benefits decrease the chance of developing type 2 diabetes alongside other metabolic conditions both in healthy-weight young people and non-obese subjects ³¹.

Liver Enzymes and Muscle Damage Markers

Active physical participants displayed reduced enzyme levels of alanine aminotransferase and aspartate aminotransferase which signal hepatic stress or non-alcoholic fatty liver disease³². The research results indicate that ongoing badminton participation creates protection for liver health. Physical exercise enables better lipid regulation and reduced hepatic fat buildup as standard outcomes that arise from steady aerobics and high-intensity training ³³. The active participants showed greater levels of creatine kinase compared to the other participants and this enzyme indicates muscle tension. This elevation does not represent a medical concern since it occurs as a natural effect of muscle adaptation from regular physical exercise ³⁴. The levels of creatine kinase typically increase after exercise especially when executing dynamic and eccentric muscle contractions found in sports like badminton while returning to baseline when recovery happens ³⁵.

Inflammatory and Haematological Markers

The active group participants showed considerably decreased levels of C-reactive protein (CRP) which functions as a very sensitive biomarker for systemic inflammation. Basophilic CRP concentrations among individuals usually indicate minimal inflammation at baseline which leads to better cardiovascular system and metabolic function ³⁶. Existing studies confirm that regular physical exercise helps decrease CRP levels independently of body weight changes ^37,38. The anti-inflammatory effects of regular aerobic and high-intensity exercise that includes badminton seem to result from decreases in visceral adiposity along with changes in pro-inflammatory cytokine production. The active group members demonstrated increased haemoglobin values along with reduced CRP levels that reinforced the theory of exercise-induced erythropoiesis—this explains improved oxygen transport ability ³⁹. Elevated haemoglobin levels create benefits for aerobic endurance and fatigue resistance which lead to enhanced oxygen delivery to working muscles throughout sustained physical exercise ⁴⁰.

Correlation Between Activity and Biomarkers

The frequency of badminton participation showed a strong positive link to higher concentrations of high-density lipoprotein (HDL) and creatine kinase (CK) based on Pearson correlation results. The study demonstrated opposite relationships between badminton frequency and three negative health markers which included fasting glucose and C-reactive protein as well as triglyceride levels. The research proves that structured exercise brings associated physiological advancements through an established dose-based relationship since participants who exercise more consistently receive better beneficial outcomes ^41,42. People who play badminton regularly achieve multi-dimensional positive effects on their body systems because this dynamic sport improves both blood lipid maintenance and glucose control and inflammatory response enhancement. Daily activities should include moderate-to-vigorous physical activity because of its established value in this domain. The observed associations matter greatly due to current sedentary living patterns which have emerged as a critical public health concern particularly affecting youth spending much time between academics and screens ⁴³. As a solution against sedentary behavior we could implement the sport of badminton as both practical and enjoyable intervention.

Comparative Analysis and Broader Implications

Badminton serves as a sporadic aerobic exercise which combines cardiorespiratory fitness with movement agility along with muscle coordination and strength development ⁴⁴. The gameplay of badminton differs from regular continuous aerobic activities because it requires quick powerful movements which transition into sudden moves and lateral agility alongside urgent decision making. The natural flow of movements creates superior metabolic stimulation and results in better cardiovascular adaptations which improve oxygen efficiency together with fat metabolism ⁴⁵.

Multiple intervention studies documented health promotion outcomes which unified several sports having this intermittent and high-intensity gameplay. The blood lipid profiles and inflammatory markers alongside glycaemic control in patients demonstrate favorable outcomes from playing soccer basketball and tennis sports according to research ^46,47 in preventive health management. These activity-based sports with higher social and engaging features lead to better adherence rates particularly among young people as compared to individual exercise routines ⁴⁸.

Both national and international guidelines endorse that adults should participate in minimum 150 minutes weekly of moderate-intensity aerobic activities for health maintenance along with chronic disease prevention ⁴⁹. Badminton serves as an excellent exercise option since it commands broad popularity while needing few equipment items and allowing both indoor and outdoor activities. The activity demonstrates potential for inclusion in community-based health strategies to enhance physical activity and improve youth population health results.

ACKNOWLEDGMENTS: (Instructions)

There is nothing to be declared.

 

DISCLOSURES: (Instructions)

There is nothing to be declared.

AUTHOR CONTRIBUTION (Instructions)

All of the authors made contributions to this whole process.

 

REFERENCES:

1. Warburton, Darren ER, and Shannon SD Bredin. “Health benefits of physical activity: a systematic review of current systematic reviews.” Current opinion in cardiology5 (2017): 541-556.
2. Booth, Frank W., Christian K. Roberts, and Matthew J. Laye. “Lack of exercise is a major cause of chronic diseases.” Comprehensive physiology2 (2012): 1143.
3. Brancaccio, Paola, Nicola Maffulli, and Francesco Mario Limongelli. “Creatine kinase monitoring in sport medicine.” British medical bulletin1 (2007): 209-230.
4. Pettersson, Jonas, et al. “Muscular exercise can cause highly pathological liver function tests in healthy men.” British journal of clinical pharmacology2 (2008): 253-259.
5. Nelson, Melissa C., et al. “Emerging adulthood and college-aged youth: an overlooked age for weight-related behavior change.” Obesity10 (2008): 2205.
6. Phomsoupha, Michael, and Guillaume Laffaye. “The science of badminton: game characteristics, anthropometry, physiology, visual fitness and biomechanics.” Sports medicine45 (2015): 473-495.
7. Manrique, D. Cabello, and J. J. González-Badillo. “Analysis of the characteristics of competitive badminton.” British journal of sports medicine1 (2003): 62-66.
8. Toms, Martin, Meenu Dhingra, and Pralay Majumdar, eds. Sports Science in India: Practice and Perspective. Taylor & Francis, 2024.
9. Baird, Marianne F., et al. “Creatine‐kinase‐and exercise‐related muscle damage implications for muscle performance and recovery.” Journal of nutrition and metabolism1 (2012): 960363.
10. Thienpont, International Federation of Clinical Chemistry and Laboratory Medicine (IFCC), IFCC Scientific Division: Working Group for Standardization of Thyroid Function Tests (WG-STFT): Linda M., et al. “Proposal of a candidate international conventional reference measurement procedure for free thyroxine in serum.” (2007): 934-936.
11. Nathwani, Rahul A., et al. “Serum alanine aminotransferase in skeletal muscle diseases.” Hepatology2 (2005): 380-382.
12. Petersen, Anne Marie W., and Bente Klarlund Pedersen. “The anti-inflammatory effect of exercise.” Journal of applied physiology4 (2005): 1154-1162.
13. Laher, Ismail. “Microparticles have macro effects in sepsis.” Critical care medicine7 (2011): 1842-1843.
14. Durstine, J. Larry, et al. “Blood lipid and lipoprotein adaptations to exercise: a quantitative analysis.” Sports medicine31 (2001): 1033-1062.
15. Tiidus, Peter M., et al., eds. The Routledge Handbook on Biochemistry of Exercise. Routledge, 2020.
16. Fiseha, Temesgen, et al. “Reference intervals for common clinical chemistry parameters in healthy adults of Northeast Ethiopia.” Plos one11 (2022): e0276825.
17. Colberg, Sheri R., et al. “Exercise and type 2 diabetes: the American College of Sports Medicine and the American Diabetes Association: joint position statement.” Diabetes care12 (2010): e147-e167.
18. Ivy, John L. “Role of exercise training in the prevention and treatment of insulin resistance and non-insulin-dependent diabetes mellitus.” Sports medicine24 (1997): 321-336.
19. Kim, Hyo Jeong, Yoon Hee Lee, and Chang Keun Kim. “Biomarkers of muscle and cartilage damage and inflammation during a 200 km run.” European journal of applied physiology99 (2007): 443-447.
20. Baumgard, L. H., et al. “Nutrition and physiological function.” J Clin Invest107 (2001): 1347ą1351.
21. Walsh, Neil P., et al. “Position statement part one: immune function and exercise.” Exercise immunology review17 (2011).
22. Kovacs, Mark S. “Applied physiology of tennis performance.” British journal of sports medicine5 (2006): 381-386.
23. Geurin, Andrea N., and Nancy L. Lough. Routledge handbook of the business of women’s sport. Routledge, 2019.
24. Ross, Robert, et al. “Effects of exercise amount and intensity on abdominal obesity and glucose tolerance in obese adults: a randomized trial.” Annals of internal medicine5 (2015): 325-334.
25. Cornelissen, Veronique A., and Neil A. Smart. “Exercise training for blood pressure: a systematic review and meta‐analysis.” Journal of the American heart association1 (2013): e004473.
26. Kodama, Satoru, et al. “Effect of aerobic exercise training on serum levels of high-density lipoprotein cholesterol: a meta-analysis.” Archives of internal medicine10 (2007): 999-1008.
27. Uehara, Yoshinari, et al. “Unsaturated fatty acids suppress the expression of the ATP-binding cassette transporter G1 (ABCG1) and ABCA1 genes via an LXR/RXR responsive element.” Atherosclerosis1 (2007): 11-21.
28. Casula, Manuela, et al. “HDL in atherosclerotic cardiovascular disease: in search of a role.” Cells8 (2021): 1869.
29. Way, Kimberley L., et al. “The effect of regular exercise on insulin sensitivity in type 2 diabetes mellitus: a systematic review and meta-analysis.” Diabetes & metabolism journal4 (2016).
30. Hawley, John Alan, and S. J. Lessard. “Exercise training‐induced improvements in insulin action.” Acta physiologica1 (2008): 127-135.
31. Pedersen, Bente Klarlund, and Bengt Saltin. “Exercise as medicine–evidence for prescribing exercise as therapy in 26 different chronic diseases.” Scandinavian journal of medicine & science in sports25 (2015): 1-72.
32. Prati, Daniele, et al. “Updated definitions of healthy ranges for serum alanine aminotransferase levels.” Annals of internal medicine1 (2002): 1-10.
33. Fried, Michael W., et al. “Once‐daily simeprevir (TMC435) with pegylated interferon and ribavirin in treatment‐naive genotype 1 hepatitis C: the randomized PILLAR study.” Hepatology6 (2013): 1918-1929.
34. Apostolopoulos, Nikos. “Stretch intensity and the inflammatory response.” (2015).
35. Jiang, Jiunn-Song, et al. “Angiotensin-converting enzyme inhibitor captopril attenuates ventilator-induced lung injury in rats.” Journal of applied physiology6 (2007): 2098-2103.
36. Ridker, Paul M., et al. “C-reactive protein and other markers of inflammation in the prediction of cardiovascular disease in women.” New England journal of medicine12 (2000): 836-843.
37. Beavers, Kristen M., Tina E. Brinkley, and Barbara J. Nicklas. “Effect of exercise training on chronic inflammation.” Clinica chimica acta11-12 (2010): 785-793.
38. Kasapis, Christos, and Paul D. Thompson. “The effects of physical activity on serum C-reactive protein and inflammatory markers: a systematic review.” Journal of the american College of Cardiology10 (2005): 1563-1569.
39. Leenders, N. Y. J. M., T. E. Nelson, and W. M. Sherman. “Ability of different physical activity monitors to detect movement during treadmill walking.” International journal of sports medicine01 (2003): 43-50.
40. Mairbäurl, Heimo. “Red blood cells in sports: effects of exercise and training on oxygen supply by red blood cells.” Frontiers in physiology4 (2013): 332.
41. Ekelund, Ulf, et al. “Physical activity and all-cause mortality across levels of overall and abdominal adiposity in European men and women: the European Prospective Investigation into Cancer and Nutrition Study (EPIC).” The American journal of clinical nutrition3 (2015): 613-621.
42. Warburton, Darren ER, and Shannon SD Bredin. “Health benefits of physical activity: a systematic review of current systematic reviews.” Current opinion in cardiology5 (2017): 541-556.
43. Guthold, Regina, et al. “Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 population-based surveys with 1· 6 million participants.” The lancet child & adolescent health1 (2020): 23-35.
44. Guthold, Regina, et al. “Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 population-based surveys with 1· 6 million participants.” The lancet child & adolescent health1 (2020): 23-35.
45. Gonzalez-Sicilia, Daniela, Frédéric N. Brière, and Linda S. Pagani. “Prospective associations between participation in leisure-time physical activity at age 6 and academic performance at age 12.” Preventive Medicine118 (2019): 135-141.
46. Delbaere, Kim, Klaus Hauer, and Stephen R. Lord. “Evaluation of the incidental and planned activity questionnaire for older people.” British journal of sports medicine14 (2010): 1029-1034.
47. Liu, H‐Y., et al. “Chronic fatigue stress leads to up‐regulation of nitric oxide synthase in the rat nucleus accumbens.” Scandinavian Journal of Medicine & Science in Sports6 (2008): 715-718.
48. Biddle, Stuart JH, and Mavis Asare. “Physical activity and mental health in children and adolescents: a review of reviews.” British journal of sports medicine11 (2011): 886-895.
49. Bull, Fiona C., et al. “World Health Organization 2020 guidelines on physical activity and sedentary behaviour.” British journal of sports medicine24 (2020): 1451-1462.