Nutrition Patterns, Metabolic and Psychological State Among High-Weight Young Adults: A Network Approach.

Stress level was the variable with the highest centrality in the network, identified as the bridge node connecting different clusters.

• Stress was identified as having the highest relevance and connectivity capacity among all variables examined.
• As a bridge node, stress linked the sociodemographic/psychological cluster with metabolic clusters.
• The sample consisted of N = 188 overweight/obese young adults, university students, men and women, aged 18 to 25 years.
• Network analysis methodology was used to examine interrelationships among sociodemographic characteristics, nutritional patterns, metabolic indicators, and psychopathological measures.

Three distinct clusters of nodes emerged from the network analysis grouping related metabolic and psychosocial variables.

• Cluster (a) grouped insulin, glucose, and Homeostatic Model Assessment for Insulin Resistance (HOMA-IR index).
• Cluster (b) grouped cholesterol and triacylglycerol.
• Cluster (c) grouped sociodemographic profile, psychological state, BMI, and arterial hypertension (HTN).
• These empirical groupings were identified through the network analysis approach applied to the full variable set.

A nutritional pattern characterized by vitamin and mineral consumption was identified as one of the important features in the network.

• The vitamin and mineral consumption nutritional pattern was among the top important variables alongside stress level and arterial hypertension.
• Nutritional patterns were included as one of four major variable domains examined (sociodemographic characteristics, nutritional patterns, metabolic indicators, and psychopathological measures).
• Interventions aimed at improving nutrition patterns were highlighted as crucial for improving overall wellbeing of overweight/obese young adults.

Arterial hypertension (HTN) was identified as one of the most important features in the network and was grouped with sociodemographic profile, psychological state, and BMI.

• HTN was listed as one of three particularly important variables along with stress level and the vitamin/mineral nutritional pattern.
• HTN was placed in cluster (c) together with sociodemographic profile, psychological state, and BMI.
• The co-clustering of HTN with psychological state and BMI suggests shared variance or close empirical association among these variables in this population.

The study examined a sample of young university students with overweight and obesity using a network analysis approach to identify central variables and empirical groupings.

• N = 188 participants were included, all overweight or obese young adults.
• Participants were university students, both men and women, aged 18 to 25 years.
• Variables included spanned sociodemographic characteristics, nutritional patterns (NP), metabolic indicators, and psychopathological measures.
• Network analysis was used to identify the most central variables and their empirical groupings (clusters).

The study was motivated by evidence that overweight and obesity are major risk factors for various metabolic and psychological disorders, and that understanding interactions between these factors may lead to more effective interventions.

• The background notes that overweight and obesity are 'major risk factors for various metabolic and psychological disorders.'
• A better understanding of the interactions between these factors 'may lead to more effective intervention strategies.'
• The network approach was chosen specifically to examine the structure of interrelationships among the multiple variable domains.