Phase Angle Association with Dietary Habits and Metabolic Syndrome in Diabetic Hypertensive Patients: A Cross-Sectional Study.
Dora Bučan NenadićJosipa RadićEla KolakMarijana VučkovićIvana NovakMarija SelakMislav RadicPublished in: Nutrients (2022)
Phase angle (PhA) levels are often lower than normal because both disease-specific parameters and disease-related inflammatory status, metabolic syndrome (MetS) included, can affect PhA. Therefore, the aim of this cross-sectional study was to compare body composition, metabolic profile and dietary patterns of participants with arterial hypertension (AH), type 2 diabetes mellitus (T2DM) and MetS with regard to PhA values. A total of 208 participants were included, of whom 53.6% were males. For each participant, data about body composition and anthropometric parameters, clinical and laboratory parameters, as well as food frequency questionnaire (FFQ) and Mediterranean Diet Serving Score (MDSS) were obtained. MC-780 Multi Frequency Segmental Body Mass Analyzer (Tanita) was used to assess body composition. Furthermore, waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) were calculated. The results showed that 75 (36.06%) participants had low PhA values and 133 (63.94%) had high PhA values. Participants with higher PhA values had significantly higher body fat percentage ( p = 0.04), fat-free mass (kg; p < 0.001), muscle mass (kg; p < 0.001), skeletal muscle mass (% and kg; p < 0.001), sarcopenic index (SMI; p < 0.001) and mid-upper arm circumference (MUAC; p = 0.04), as well as lower fat mass percentage ( p = 0.04). Regarding food frequency consumption, significantly higher intakes of red meat ( p = 0.003), poultry ( p = 0.02) and fast food ( p = 0.003) were noticed in participants with higher PhA values. Adherence to the Mediterranean Diet (MeDi) was exceptionally low in both groups of participants, with significantly higher fish intake noticed in participants with high PhA ( p = 0.03). In conclusion, our results showed that body composition could be the indicator of PhA in MetS as well as overall low adherence to the MeDi principles. These findings highlight the importance of adequate nutritional strategies and novel approaches to maintaining optimal body composition and adopting proper eating habits within the framework of one's disease.
Keyphrases
- body composition
- resistance training
- metabolic syndrome
- body mass index
- bone mineral density
- hypertensive patients
- physical activity
- adipose tissue
- high resolution
- arterial hypertension
- blood pressure
- type diabetes
- machine learning
- human health
- cardiovascular disease
- insulin resistance
- weight loss
- cross sectional
- deep learning
- skeletal muscle
- uric acid
- electronic health record
- risk factors
- climate change
- artificial intelligence
- drug induced
- psychometric properties