Nutritional Profiles and Their Links to Insulin Resistance and Anthropometric Variables in a Female Cohort.
Katarzyna Wiśniewska-ŚlepaczukKarolina Żak-KowalskaAdrian MoskalSebastian KowalskiAhmed M Al-WathinaniMousa AlhajlahKrzysztof GoniewiczMariusz GoniewiczPublished in: Metabolites (2024)
This study investigates the relationship between dietary habits and metabolic health among women, emphasizing the role of anthropometric parameters as proxies for insulin resistance. We analyzed data from 443 women categorized into two groups based on the presence or absence of clinically diagnosed insulin resistance. Our assessments included dietary quality, socio-demographic characteristics, and a series of anthropometric measurements such as body weight, Body Mass Index (BMI), Waist-Hip Ratio (WHR), Abdominal Volume Index (AVI), and Body Adiposity Index (BAI). The results indicated significant disparities in these parameters, with the insulin-resistant group exhibiting higher average body weight (78.92 kg vs. 65.04 kg, p < 0.001), BMI (28.45 kg/m 2 vs. 23.17 kg/m 2 , p < 0.001), and other related measures, suggesting a strong influence of dietary patterns on body composition and metabolic risk. The study underscores the importance of dietary management in addressing insulin resistance, advocating for personalized dietary strategies to improve metabolic health outcomes in women. This approach highlights the need for integrating dietary changes with lifestyle modifications and socio-demographic considerations to combat metabolic risks effectively.
Keyphrases
- insulin resistance
- polycystic ovary syndrome
- body weight
- body composition
- body mass index
- metabolic syndrome
- type diabetes
- adipose tissue
- high fat diet
- skeletal muscle
- resistance training
- weight gain
- high fat diet induced
- physical activity
- healthcare
- public health
- glycemic control
- pregnancy outcomes
- cardiovascular disease
- mental health
- deep learning
- pregnant women
- total hip arthroplasty
- artificial intelligence