Correlation Between Incidence of Sleep Apnoea and Obesity Using Anthropometric Measures

Background: Sleep apnea, a syndrome characterized by fatigue, morning headaches, and loud snoring, affects individuals of all ages.Its diagnosis relies on identifying episodes of hypopnea or apnea during sleep, often caused by respiratory obstructions.Obesity, particularly visceral fat, heightens the risk.Anthropometric measures aid diagnosis, potentially reducing reliance on costly polysomnography.Ongoing treatment, including thorough patient evaluation, is essential for managing this condition.The aim is to assess the association between obesity and sleep apnea severity using anthropometric measures.Methods: The study involved analyzing medical records of 100 individuals aged 18 to 60 diagnosed or under examination for obstructive sleep apnea.Anthropometric measures including BMI, waist circumference (WC), and neck circumference (NC) were recorded.Statistical analysis using SPSS version 20.0 included Pearson Correlation Test and ANOVA to assess the relationship between obesity indices and sleep apnea severity.Results: Analysis revealed a significant correlation between obesity indices (BMI, NC, and WC) and the likelihood of sleep apnea.Specifically, higher values of these measures were associated with an increased risk of the disorder.These findings suggest that anthropometric measures can serve as valuable screening tools to identify obese individuals, who may require further evaluation for sleep apnea.Conclusion: Obesity correlates with sleep apnea severity, highlighting the importance of early screening and intervention in highrisk populations.