Nevin Manimala Statistics

Metabolic syndrome risk among adolescents in the Deep South and the relationships with behavioral health, food insecurity, and physical activity

J Spec Pediatr Nurs. 2023 Dec 14:e12420. doi: 10.1111/jspn.12420. Online ahead of print.


PURPOSE: A combination of physical and psychosocial risk factors put adolescents at risk for poor cardiometabolic health and chronic disease burden, often recognized as metabolic syndrome. The purposes of this study were to (1) identify the prevalence of metabolic syndrome risk among adolescents, utilizing the metabolic syndrome severity index, and (2) determine the relationship between metabolic syndrome risk and behavioral health, food insecurity, and physical inactivity among adolescents.

METHODS AND DESIGN: A cross-sectional, descriptive, correlational design was deployed in an inner-city high school in the Deep South. An 8-month recruitment and enrollment period yielded a sample of 55 adolescents. A battery of measures included assessment of demographic data, anthropometric, cardiovascular, and psychosocial data. Utilizing these data elements, a progressive methodological approach was used to identify metabolic severity risk as a continuous variable for use in the adolescent population.

RESULTS: All participants identified as African American/Black. Among them, 71% (N = 39) were female and an average age of 16 (SD = 1.3) years old, with 67.3% (N = 37) of the sample at risk for metabolic syndrome. There was not a statistically significant relationship between metabolic syndrome severity score and behavioral health risk, food insecurity, and physical inactivity in this sample.

PRACTICE IMPLICATIONS: Future use of the continuous metabolic syndrome severity score may guide practice by utilizing longitudinal data to assess the trends of metabolic syndrome severity scores in relation to disease outcomes in adolescents. This may promote the identification of psychosocial and physical interrelationships with metabolic syndrome, thus improving overall health through the development of age-appropriate interventions.

PMID:38095121 | DOI:10.1111/jspn.12420

By Nevin Manimala

Portfolio Website for Nevin Manimala