Impact of Fasting Blood Glucose Levels on Blood Pressure Parameters among Older Adults with Prediabetes.
Thapanee RoengritRuchada Sri-AmadNawiya HuipaoSuphawadee PhababphaPiyapong PrasertsriPublished in: TheScientificWorldJournal (2023)
Prediabetes mellitus (pre-DM) is defined as blood glucose levels higher than normal but lower than the threshold for diabetes mellitus (DM) diagnosis. Four-limb blood pressure (BP) differences can help identify a significant risk for cardiovascular diseases (CVDs). The current study aimed to determine the importance of BP and the ankle-brachial index (ABI) between two patient groups and the association between fasting blood glucose (FBG) levels and four-limb BP, ABI, interarm BP difference (IAD), and interleg BP difference (ILD). Moreover, the effect of cardiovascular risk factors on the development of pre-DM among older adults was evaluated. The participants were divided into the normal fasting glucose (NFG) and impaired fasting glucose (IFG) groups. Data on physical characteristics, lipid profiles, four-limb BP, ABI, IAD, ILD, and cardiovascular risk factors were assessed. The IFG group had a significantly higher systolic blood pressure (SBP) and pulse pressure than the NFG group ( p < 0.05). SBP was significantly positively correlated with FBG levels ( p < 0.05). The IFG group had a lower ABI than the NFG group ( p < 0.05). However, there was no significant difference in terms of IAD and ILD between the two groups. Furthermore, hypertension (HT), metabolic syndrome (MetS), and dyslipidemia were significantly correlated with a high prevalence of prediabetes ( p < 0.05). Individuals with prediabetes had a higher BP than those with normoglycemia. Prediabetes was correlated with HT, MetS, and dyslipidemia.
Keyphrases
- blood glucose
- blood pressure
- cardiovascular risk factors
- glycemic control
- metabolic syndrome
- hypertensive patients
- cardiovascular disease
- heart rate
- interstitial lung disease
- type diabetes
- insulin resistance
- left ventricular
- rheumatoid arthritis
- coronary artery disease
- weight loss
- mental health
- machine learning
- uric acid
- atrial fibrillation
- peripheral artery disease