Background: Non-communicable diseases, particularly cardiovascular diseases (CVDs), represent the leading cause of global mortality, with an accelerating burden across sub-Saharan Africa. In Cameroon, cardiovascular risk factors such as hypertension, physical inactivity, and harmful alcohol consumption are escalating, driven by rapid urbanization and dietary transitions. This study aimed to estimate the hospital prevalence of CVDs, examine the associated socio-economic and behavioural prognostic factors, and analyse current management modalities at the Sector Number 5 Military Health Centre in Ngaoundéré, Adamaoua Region. Methods: A descriptive cross-sectional study was conducted among adults aged 21 years and older attending cardiological and general consultations. Data collection utilized a contextualised survey instrument adapted from standard cardiovascular surveillance protocols to capture socio-demographic characteristics, lifestyle behaviours (alcohol consumption, tobacco use, physical activity), and blood pressure monitoring history. Clinical measurements included electronic blood pressure and fasting capillary blood glucose assessments. Bivariate analyses and multivariable logistic regression models were planned to identify independent prognostic factors associated with the presence of cardiovascular pathology. Results: Of the 207 eligible individuals approached, 183 completed the study, yielding a response rate of 88.4%. Discrepancies within the raw dataset regarding gender distribution, age cohorts, and occupational status necessitate rigorous re-evaluation before finalizing demographic proportions. Preliminary analysis indicates a high prevalence of modifiable risk behaviours, including regular alcohol consumption (39.9%) and physical inactivity (66.7%). Only a marginal minority of participants reported undergoing routine blood pressure screening in the preceding 12 months. A critical statistical anomaly, quasi-complete separation, was identified in the initial multivariable logistic regression matrix, rendering the currently calculated adjusted odds ratios for gender and lifestyle factors mathematically degenerate and necessitating model re-fitting via penalised likelihood estimation. Conclusion: Preliminary descriptive findings suggest a high hospital-based burden of cardiovascular diseases and prominent lifestyle risk factors within this combined military and civilian cohort. Robust statistical re-analysis, utilizing exact or penalised regression methods, is required alongside raw data reconciliation to confirm the true epidemiological associations. Interventions targeting early opportunistic screening and aggressive lifestyle modifications remain an urgent public health priority for this demographic.