Exploring determinant factors influencing muscle quality and sarcopenia in Bilbao’s older adult population through machine learning: A comprehensive analysis approach
2024

Factors Affecting Muscle Quality and Sarcopenia in Older Adults

Sample size: 1253 publication Evidence: moderate

Author Information

Author(s): Virto Naiara, Dequin Danielle Marie, Río Xabier, Méndez-Zorrilla Amaia, García-Zapirain Begoña

Primary Institution: University of Deusto

Hypothesis

What are the anthropomorphic, functional, and socioeconomic factors associated with muscle quality and sarcopenia in older adults?

Conclusion

The study found that relative power, age, weight, and the 5STS test are significant determinants of sarcopenia and muscle quality index (MQI) in older adults.

Supporting Evidence

  • The predictive models exhibited AUC scores of 0.7671 for MQI and 0.7649 for sarcopenia.
  • Key factors in predicting both conditions include relative power, age, weight, and the 5STS test.
  • Using a holistic approach is essential for understanding and addressing sarcopenia and MQI.

Takeaway

This study looked at what affects muscle health in older people and found that things like strength and weight matter a lot.

Methodology

A descriptive cross-sectional study using machine learning techniques to analyze data from older adults regarding muscle quality and sarcopenia.

Potential Biases

The homogeneity of the sample may lead to biases in the results and limitations in the applicability of the conclusions to a global context.

Limitations

The sample was not diverse, primarily consisting of Basque individuals, which may limit the generalizability of the findings.

Participant Demographics

89.5% women, mean age 78.13 years.

Digital Object Identifier (DOI)

10.1371/journal.pone.0316174

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