Abnormal body mass index was independently associated with a significantly higher likelihood of pre-diabetes, increasing the odds by more than two-fold (OR 2.36) compared to normal body mass index.
Cross-Sectional (n=100)
No
Do anthropometric risk characteristics and blood pressure predict pre-diabetes in adult patients?
Elevated BMI, waist circumference, and systolic blood pressure are significant independent predictors of pre-diabetes in adult patients, highlighting the need for targeted screening in primary care.
Odds Ratio: 2.36 (95% CI 1.904–6.169)
p-value: p=0.007
Objectives: Pre-diabetes is one of the risk factors for the development of type 2 diabetes mellitus, which has become a worldwide epidemic with significant associated complications. Regular screening for pre-diabetes is not commonly performed by healthcare providers in primary care settings. This study aimed to evaluate anthropometric risk factors and blood pressure (BP) as indicators of pre-diabetes in adults seeking treatment at a tertiary healthcare facility. Materials and Methods : This research was a cross-sectional, comparative study involving 100 participants over a period of 4 months, utilizing pre-tested interviewer-administered surveys. Participants were assessed for fasting blood glucose and BP readings, selected consecutively, and matched by age and gender. The data analysis was conducted using the Statistical Package for the Social Sciences Version 23. Results : Body mass index, waist circumference, and systolic BP were significantly associated with pre-diabetes ( p < 0.05). After adjusting for cofounders, logistic regression analysis showed that these anthropometric factors were independently correlated with pre-diabetes. Conclusion : The anthropometric traits were notably associated with pre-diabetes and also demonstrated an independent relationship. It is essential for healthcare professionals to monitor these aspects in primary care settings. Clinicians should maintain a heightened awareness of abnormal glucose levels in individuals displaying these characteristics and take proactive steps for early detection and intervention to prevent the progression to overt diabetes mellitus and its related complications.
Okezie et al. (Sat,) conducted a cross-sectional in Pre-diabetes (n=100). Abnormal body mass index (BMI) vs. Normal body mass index was evaluated on Pre-diabetes status (OR 2.36, 95% CI 1.904-6.169, p=0.007). Abnormal body mass index was independently associated with a significantly higher likelihood of pre-diabetes, increasing the odds by more than two-fold (OR 2.36) compared to normal body mass index.