JOURNAL ARTICLE

Uric Acid, BMI, and Neutrophil Lymphocyte Ratio Mediate the Relationship Between Soft Drink Consumption and Systolic Blood Pressure: A Nationwide Structural Equation Model Pathways Among Adolescents and Young Adults Across Indonesia.

  • Published In: Biological Research for Nursing, 2026, v. 28, n. 2. P. 230 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Kurniasari, Maria Dyah; Karwur, Ferry Fredy; Nugroho, Kristiawan Prasetyo Agung; Mangma, Farida Sonya; Naftali, Elisa Esa 3 of 3

Abstract

This article investigates the mediating roles of body mass index (BMI), uric acid, and neutrophil-to-lymphocyte ratio (NLR) in the relationship between soft drink and fast-food consumption and systolic blood pressure (SBP) among Indonesian adolescents and young adults. Using a nationwide cross-sectional sample of 500 participants aged 10–24 years, the study found that soft drink consumption indirectly increases SBP through metabolic and inflammatory pathways involving BMI, NLR, and uric acid, whereas fast-food consumption showed weaker and nonsignificant mediation effects. The findings highlight the importance of early nursing-led interventions focusing on healthy dietary habits, metabolic screening, and school-based education to mitigate subclinical cardiovascular risk in this population. The study emphasizes the complex interplay between dietary sugar intake, metabolic dysregulation, inflammation, and blood pressure regulation in a rapidly urbanizing middle-income country context.

Additional Information

  • Source:Biological Research for Nursing. 2026/04, Vol. 28, Issue 2, p230
  • Document Type:Article
  • Subject Area:Nutrition and Dietetics
  • Publication Date:2026
  • ISSN:1099-8004
  • DOI:10.1177/10998004251406291
  • Accession Number:191808159
  • Copyright Statement:Copyright of Biological Research for Nursing is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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