Saudi Journal of Medical and Pharmaceutical Sciences (SJMPS)
Volume-12 | Issue-05 | 306-312
Original Research Article
Prevalence, Clinical Characteristics, and Predictors of Metabolic Syndrome in a Hospital-Based Adult Population
M A Kader, Aparna Rahman, Abdullahel Kafee, Eusha Ahmad Fidalillah Ansary
Published : May 13, 2026
Abstract
Background: Metabolic syndrome (MetS) is a cluster of metabolic abnormalities including central obesity, hypertension, dyslipidemia, and impaired glucose metabolism that significantly increase the risk of cardiovascular disease and type 2 diabetes. The prevalence of MetS has risen worldwide due to sedentary lifestyles, urbanization, and dietary changes. Early identification of its clinical characteristics and predictors in hospital-based populations is important for effective prevention, timely diagnosis, and appropriate management of associated health complications. Objectives: To determine the prevalence, clinical characteristics, and predictors of metabolic syndrome among adults attending a hospital-based healthcare facility. Methods: This hospital-based cross-sectional study was conducted at Ibn Sina Diagnostic & Consultation Center, Uttara, from June 2018 to May 2019. A total of 226 adult participants were included. Data were collected using structured questionnaires, clinical measurements, and laboratory records. Variables included age, gender, BMI, blood pressure, and biochemical parameters. Data were analyzed using Statistical Package for the Social Sciences (SPSS) with descriptive statistics and Chi-square tests; p<0.05 was considered significant. Results: Among 226 participants, the mean age was 42.6 ± 11.8 years, with 56.6% males. Metabolic syndrome was present in 86 (38.1%) individuals. The highest prevalence occurred in the 41–50 years group (30.2%). Overweight and obesity were observed in 40.7% and 24.8% respectively. Hypertension affected 51.3% participants. Abdominal obesity (46.0%) and low HDL (41.6%) were common components. Smoking (30.1%) and physical inactivity (68.1%) were notable lifestyle risk factors.