Investigating the Impact of Intermittent Fasting on Metabolic Health and Weight Management in Adults: A Systematic Review and Meta-Analysis

Thesis Abstract

Abstract
This thesis explores the impact of intermittent fasting on metabolic health and weight management in adults through a systematic review and meta-analysis. With the rising prevalence of obesity and related metabolic disorders globally, there is a growing interest in exploring alternative dietary strategies to improve health outcomes. Intermittent fasting, characterized by cycles of eating and fasting periods, has gained popularity for its potential benefits on metabolic health and weight management. The introduction provides a comprehensive overview of the topic, highlighting the increasing burden of obesity and its associated health risks. The background of the study delves into the concept of intermittent fasting, its different types, and the proposed mechanisms through which it may influence metabolic health and weight management. The problem statement addresses the gaps in existing literature and the need for further research to elucidate the effects of intermittent fasting on adults. The objectives of the study are to systematically review the current evidence on intermittent fasting and its impact on metabolic health parameters such as blood glucose levels, insulin sensitivity, lipid profile, and body weight. Additionally, the study aims to conduct a meta-analysis to quantitatively assess the overall effects of intermittent fasting on these outcomes. The limitations of the study are acknowledged, including potential biases in the selected studies and variability in fasting protocols. The scope of the study is defined in terms of the inclusion criteria for the systematic review and meta-analysis, focusing on randomized controlled trials and observational studies in adult populations. The significance of the study lies in its potential to inform healthcare professionals, policymakers, and individuals about the role of intermittent fasting as a dietary intervention for improving metabolic health and managing weight. The structure of the thesis is outlined, detailing the organization of the chapters and the flow of information from the introduction to the conclusion. The definitions of key terms related to intermittent fasting, metabolic health, and weight management are provided to ensure clarity and understanding throughout the thesis. Chapter Two presents a comprehensive literature review covering ten key studies that have investigated the effects of intermittent fasting on metabolic health and weight management in adults. The synthesis of these studies provides the foundation for the subsequent analysis and discussion in the thesis. Chapter Three outlines the research methodology, including the search strategy for identifying relevant studies, the selection criteria for inclusion, data extraction methods, and the statistical analysis plan for the meta-analysis. Various aspects of the study design and data analysis are detailed to ensure transparency and reproducibility. Chapter Four presents a detailed discussion of the findings from the systematic review and meta-analysis, highlighting the trends, inconsistencies, and implications of the results. The effects of intermittent fasting on metabolic health parameters and weight outcomes are critically evaluated, with a focus on the strengths and limitations of the included studies. Chapter Five concludes the thesis by summarizing the key findings, discussing their implications for clinical practice and future research directions. The overall impact of intermittent fasting on metabolic health and weight management in adults is reviewed, and recommendations for healthcare professionals and individuals interested in adopting this dietary approach are provided. In conclusion, this thesis contributes to the growing body of literature on intermittent fasting and its effects on metabolic health and weight management in adults. By synthesizing existing evidence and conducting a meta-analysis, valuable insights are generated to inform decision-making in healthcare and promote further research in this area.