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Analysis of ultra-processed food intake and its relationship with body fat in adolescents using multiple linear regression in Stata

Author

Listed:
  • R. Terminel Zaragoza

    (Instituto Tecnológico de Sonora)

  • Julián Esparza R.

    (Instituto Tecnológico de Sonora)

  • F. Legarreta Muela

    (Instituto Tecnológico de Sonora)

  • R. Ulloa Mercado

    (Instituto Tecnológico de Sonora)

  • A. Serna Gutiérrez

    (Instituto Tecnológico de Sonora)

  • L. Díaz Tenorio

    (Instituto Tecnológico de Sonora)

  • A. Rentería Mexía

    (Instituto Tecnológico de Sonora)

  • C. Robles Aguilar

    (Instituto Tecnológico de Sonora)

Abstract

Multiple regression analysis was used to examine the relationship between body fat percentage and the consumption of ultra-processed foods, classified according to the NOVA system and adjusted for other predictor variables, in freshman university adolescents. The adjustment model was developed using various lifestyle factors, such as physical activity, tobacco use, and family history of cardiovascular disease, in addition to ultra-processed food variables. The adjustment model was created using Stata through a series of steps, beginning with exploratory analysis, moving on to univariate analysis, and concluding with stepwise analysis. The resultant model was assessed for interaction, multicollinearity, and linear regression hypotheses. Data from 230 freshman university students enrolled at the Instituto Tecnológico de Sonora (ITSON) were examined.

Suggested Citation

  • R. Terminel Zaragoza & Julián Esparza R. & F. Legarreta Muela & R. Ulloa Mercado & A. Serna Gutiérrez & L. Díaz Tenorio & A. Rentería Mexía & C. Robles Aguilar, "undated". "Analysis of ultra-processed food intake and its relationship with body fat in adolescents using multiple linear regression in Stata," Mexican Stata Conference 2023 11, Stata Users Group.
    • Handle: RePEc:boc:mexi23:11
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