Background: Respiratory illnesses pose a substantial global health challenge, displaying diverse prevalence rates worldwide. Delving into comorbidity patterns and their influencers in these patients is crucial for customized interventions and enhanced healthcare. This research focused on probing comorbidity rates among respiratory disease patients in a Central Indian tertiary hospital. Moreover, it aimed to pinpoint and scrutinize the factors contributing to concurrent conditions in this patient group. Methods: In a cross-sectional analysis, 200 individuals seeking treatment for respiratory conditions in tertiary hospitals were studied. The research extensively reviewed demographic information, respiratory disease diagnoses, and accompanying comorbidities. Statistical evaluation was executed utilizing R 4.3.2 software. Findings were presented through frequency/percentage distributions and mean ± standard deviation calculations. Results: Participants' average age was 61.69 years, with the majority (72.6%) falling between 51 and 70 years old. Farmers represented the largest occupational group (25.3%) andSmoking emerged as the most prevalent factor, accounting for 44% (88 individuals) of the group, followed by occupational exposures (22% - 44 individuals) and allergens like pollen or dust mites affecting 15.5% (31 individuals). Chronic Obstructive Pulmonary Disease (COPD) was the most prevalent respiratory condition (35.14%), followed by pleural effusion (18.84%) and asthma (14.75%). Prevalence of comorbidity: Diabetes led as the primary comorbidity at 46.50%, succeeded by hypertension (35.50%). Ischemic heart disease (16.50%), chronic liver disease (8.00%), and chronic kidney disease (6.00%) were also observed, while septicaemia and malignancy showed lower prevalence at 4.50% and 2.00%, respectively. Conclusion: This study sheds light on the intricate prevalence patterns and factors influencing comorbidities in respiratory disease patients. The identified associations provide valuable insights for healthcare professionals to better understandand manage comorbidities among individuals afflicted with respiratory diseases in this region.