Impact of Sleep Deprivation on Oxidative Stress in Amateur Marathon Runners | Blazingprojects Postgraduate Thesis
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Impact of Sleep Deprivation on Oxidative Stress in Amateur Marathon Runners

 

Table Of Contents


Chapter ONE

INTRODUCTION

  • 1.1Introduction
  • 1.2Background of the Study
  • 1.3Statement of the Problem
  • 1.4Aim and Objectives of the Study
  • 1.5Research Questions
  • 1.6Research Hypotheses
  • 1.7Significance of the Study
  • 1.8Scope and Delimitation of the Study
  • 1.9Limitations of the Study
  • 1.10Organisation of the Study
  • 1.11Operational Definition of Terms

Chapter TWO

LITERATURE REVIEW

  • 2.1Conceptual Review: Sleep Deprivation and Oxidative Stress in Endurance Populations
  • 2.2Conceptual Linkages: Sleep, Recovery, and Redox Balance in Marathon Training
  • 2.3Theoretical Framework: Allostatic Load Theory and Oxidative Stress Theory
  • 2.4Theoretical Framework: Circadian Biology and Performance Adaptation
  • 2.5Empirical Review: Sleep Deprivation Effects on Oxidative Markers in Athletes
  • 2.6Empirical Review: Oxidative Stress and Inflammation in Endurance Running
  • 2.7Empirical Review: Sleep Restriction Protocols in Field Settings
  • 2.8Empirical Review: Recovery Interventions and Redox Homeostasis
  • 2.9Empirical Review: Nutritional and Hydration Modulation of Oxidative Stress
  • 2.10Measurement of Oxidative Stress in Field Studies: Biomarkers and Methods
  • 2.11Identified Gaps in the Literature on Sleep Deprivation and Oxidative Stress in Amateur Marathoners
  • 2.12Conceptual Model or Summary of the Review

Chapter THREE

RESEARCH METHODOLOGY

  • 3.1Research Design: Field-based Longitudinal Observational Study
  • 3.2Philosophical Paradigm: Pragmatism and Mixed-Methods Integration
  • 3.3Population of the Study: Amateur Marathon Runners in Competitive Circuits
  • 3.4Sampling Frame, Size, and Technique: Stratified Random Sampling of Recreational Runners
  • 3.5Sources and Instruments of Data Collection: Sleep Diaries, Actigraphy, Blood Biomarkers, and Performance Logs
  • 3.6Validity and Reliability of Instruments: Calibration, Inter-rater Reliability, and Biomarker Assay Validation
  • 3.7Data Collection Procedures: Sleep Monitoring during Pre- and Post-Race Periods
  • 3.8Variables, Measurements, and Operational Definitions
  • 3.9Data Analysis Plan: Descriptive, Inferential, and Multivariate Modeling
  • 3.10Model Specification or Analytical Framework: Linear Mixed-Effects Models and Mediation Analysis
  • 3.11Ethical Considerations: Informed Consent, Confidentiality, and Minimizing Burden

Chapter FOUR

DATA PRESENTATION AND ANALYSIS

  • ANALYSIS AND DISCUSSION
  • 4.1Data Presentation Strategy and Overview
  • 4.2Descriptive Analysis of Participant Characteristics and Sleep Patterns
  • 4.3Sleep Deprivation Exposure Metrics Across Marathon Training Phases
  • 4.4Biomarker Profile: Baseline and Post-Deprivation Oxidative Stress Markers
  • 4.5Inferential Analysis: Relationship Between Sleep Deprivation and Oxidative Markers
  • 4.6Hypotheses Testing: Sleep Reduction and Redox Imbalance Associations
  • 4.7Mediation and Moderation Analyses: Role of Inflammation and Nutritional Intake
  • 4.8Interpretation of Findings and Comparison with Prior Studies

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • CONCLUSION AND RECOMMENDATIONS
  • 5.1Summary of Findings
  • 5.2Conclusions
  • 5.3Contribution to Knowledge
  • 5.4Practical Implications for Amateur Marathoners and Coaches
  • 5.5Recommendations for Practice and Policy
  • 5.6Suggestions for Further Studies

Thesis Abstract

Sleep deprivation is a pervasive stressor among amateur endurance athletes, with potential to disrupt homeostasis and elevate oxidative stress, thereby compromising performance and recovery. This study addresses the gap in field-based evidence on how acute and chronic sleep restriction affects redox balance in amateur marathon runners, and whether circadian misalignment mediates these effects. The aim is to quantify the relationship between sleep parameters and oxidative stress markers, and to evaluate the downstream impact on endurance performance and perceived exertion. Specific objectives are (1) to determine associations between objectively measured sleep duration and sleep efficiency and biomarkers of oxidative stress and antioxidant capacity; (2) to examine differential effects of weekday versus weekend sleep patterns on oxidative stress; (3) to assess whether sleep-related changes in oxidative stress predict variations in cycling or running performance at maximum and submaximal intensities; (4) to explore moderating roles of training load, hydration, and nutritional intake; and (5) to compare responses across different age groups within the amateur cohort. A prospective, observational cohort design will be employed, with 120 amateur marathon runners aged 20–45 years recruited from regional running clubs. Participants will be assessed over a 12-week training block that includes three long runs and two quality sessions per week. Sleep will be tracked with wrist actigraphy (worn continuously) and self-reported sleep diaries, supplemented by one-week polysomnography (PSG) in a subsample of 20 participants to validate actigraphy data. Oxidative stress will be quantified via plasma malondialdehyde (MDA), F2-isoprostanes, protein carbonyls, and total antioxidant capacity (TAC) measured at baseline, mid-study, and post-block, alongside salivary cortisol as a surrogate marker of physiological stress. Training load will be monitored using session-RPE and GPS-derived external load metrics. Endurance performance will be evaluated through a standardized treadmill time-to-exhaustion test and a 10-km time trial conducted at baseline and after 12 weeks, with rating of perceived exertion (RPE) recorded post-test. Dietary logs and hydration markers will be used to adjust for confounding nutritional influences. Data will be analyzed using mixed-effects linear models to account for repeated measures and individual variance, with sleep duration, sleep efficiency, and circadian misalignment as primary predictors. Regression analyses will examine associations between sleep variables and oxidative stress biomarkers, controlling for age, sex, training load, and diet. Repeated-measures ANOVA will evaluate changes in performance outcomes across time and sleep condition strata. Mediation analyses will test whether oxidative stress mediates the relationship between sleep deprivation and performance decrements. Subgroup analyses will compare those with consistent sleep schedules to those with irregular sleep patterns. The study will be grounded in the Theory of Acute Stress and Resource Depletion and the Allostatic Load framework, providing a mechanistic basis for how sleep disruption translates into oxidative imbalance and performance fatigue. Expected findings include (i) shorter sleep duration and lower sleep efficiency will be significantly associated with elevated MDA, F2-isoprostanes, and protein carbonyls and reduced TAC; (ii) irregular sleep patterns will amplify oxidative responses independent of total weekly training load; (iii) oxidative stress markers will partially mediate the adverse effects of sleep deprivation on endurance performance and RPE; and (iv) PSG-confirmed sleep fragmentation will show stronger associations with oxidative stress than actigraphy-derived measures alone. The study contributes to knowledge by informing evidence-based sleep hygiene guidelines for amateur endurance athletes, integrating objective sleep metrics with biochemical redox profiles, and elucidating the physiological pathways linking sleep and performance. The main conclusion is that sleep deprivation elevates oxidative stress in amateur marathon runners, with significant implications for performance and recovery; robust sleep optimization emerges as a practical intervention to mitigate redox imbalance. Recommendations include implementing individualized sleep strategies, prioritizing consistent bedtimes, strategic napping around key sessions, and monitoring sleep as part of training programming. Further research should extend to interventional trials testing sleep extension and circadian alignment protocols, and to exploring long-term health outcomes associated with repetitive sleep disruption in endurance athletes.

Thesis Overview

This study investigates how sleep deprivation affects oxidative stress in amateur marathon runners, focusing on everyday sleep loss that runners commonly experience before races or after high-mileage weeks. Oxidative stress refers to an imbalance between free radicals and the body’s antioxidant defenses, which can impair performance, recovery, and long-term health. The research addresses a gap in understanding whether partial or acute sleep loss translates into measurable increases in oxidative stress markers among non-elite endurance athletes. Why it matters: Sleep is a crucial recovery tool for athletes, and oxidative stress is linked to fatigue, injury risk, and slower adaptation to training. Understanding this relationship in amateur runners helps athletes, coaches, and clinicians optimize sleep strategies to protect performance and health. What the researcher will do step by step: - Define the study population as amateur marathon runners aged 20–45 who train at least 4 days per week. - Design a controlled field study with two sleep conditions: adequate sleep (7–9 hours per night) and restricted sleep (4–5 hours per night) over a 5-day period preceding a standardized 10-km time trial. - Recruit a sample of about 60 participants, randomly assigned to the two conditions in a crossover or parallel design. - Collect data using validated instruments: subjective sleep quality (Pittsburgh Sleep Quality Index), actigraphy to monitor actual sleep duration, and salivary or plasma biomarkers of oxidative stress and antioxidant capacity (e.g., malondialdehyde, F2-isoprostanes, total antioxidant capacity). - Administer the 10-km time trial to assess performance under each sleep condition. - Analyze data with mixed-effects models to account for repeated measures (if crossover) or ANCOVA if covariates are present (baseline fitness, age, sex). Explore mediation pathways to see if changes in sleep mediate oxidative stress and then impact performance. - Ensure ethical considerations include informed consent, data privacy, and safety monitoring for adverse effects of sleep manipulation. Expected contribution and outcome: The study aims to provide empirical evidence on the causal link between sleep deprivation, oxidative stress, and endurance performance in non-elite runners. It could identify actionable sleep targets to minimize oxidative damage and optimize recovery, informing practical guidelines for amateur athletes and coaches. The anticipated outcome is that restricted sleep will elevate oxidative stress markers and slightly impair 10-km performance, with partially mitigated effects in individuals with higher baseline antioxidant capacity.

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