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Clustering of Physical Activity, Diet and Sedentary Behavior among Youth from Low-, Middle-, and High-Income Countries: A Scoping Review

Author

Listed:
  • Gabrielli Thais de Mello

    (Research Center for Physical Activity and Health, Department of Physical Education, School of Sports, Federal University of Santa Catarina, Florianópolis 88040-900, Brazil)

  • Marcus Vinicius Veber Lopes

    (Research Center for Physical Activity and Health, Department of Physical Education, School of Sports, Federal University of Santa Catarina, Florianópolis 88040-900, Brazil)

  • Giseli Minatto

    (Research Center for Physical Activity and Health, Department of Physical Education, School of Sports, Federal University of Santa Catarina, Florianópolis 88040-900, Brazil)

  • Rafael Martins da Costa

    (Research Center for Physical Activity and Health, Department of Physical Education, School of Sports, Federal University of Santa Catarina, Florianópolis 88040-900, Brazil)

  • Thiago Sousa Matias

    (Research Center for Physical Activity and Health, Department of Physical Education, School of Sports, Federal University of Santa Catarina, Florianópolis 88040-900, Brazil)

  • Paulo Henrique Guerra

    (Department of Medicine, Federal University of Fronteira Sul, Chapecó 89815-899, Brazil)

  • Valter Cordeiro Barbosa Filho

    (Federal Institute of Education, Science and Technology of Ceara, Aracati 62800-000, Brazil)

  • Kelly Samara Silva

    (Research Center for Physical Activity and Health, Department of Physical Education, School of Sports, Federal University of Santa Catarina, Florianópolis 88040-900, Brazil)

Abstract

Background: The interaction between physical activity (PA), diet, and sedentary behavior (SB) plays an important role on health-related outcomes. This scoping review (Prospero CRD42018094826) aims to identify and appraise clusters of PA, diet, and SB among youth (0–19 years) according to country income. Methods: Five databases were searched. Fifty-seven articles met the inclusion criteria. Results: Fifty-five cluster types were identified, with greater variety in high-income than lower income countries. The most prevalent profiles were “ High SB and consumption of sugar, salt, and beverages (SSB) ” ( n = 17) and “ High PA ” ( n = 13–5), both of which presented in all income countries. The healthiest profile, “ High PA and fruit and vegetables (F&V); Low SB and SSB ” ( n = 12), was present in upper-middle and high-income countries, while the unhealthiest “ Low PA and F&V; High SB and SSB ” ( n = 6) was present only in high-income countries. Conclusions: High SB and unhealthy diet (SSB) were more prevalent in clusters, mainly in high-income countries. The results support the need for multi-component actions targeting more than one behavior at the same time.

Suggested Citation

  • Gabrielli Thais de Mello & Marcus Vinicius Veber Lopes & Giseli Minatto & Rafael Martins da Costa & Thiago Sousa Matias & Paulo Henrique Guerra & Valter Cordeiro Barbosa Filho & Kelly Samara Silva, 2021. "Clustering of Physical Activity, Diet and Sedentary Behavior among Youth from Low-, Middle-, and High-Income Countries: A Scoping Review," IJERPH, MDPI, vol. 18(20), pages 1-16, October.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:20:p:10924-:d:658560
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    4. Pate, R.R. & Heath, G.W. & Dowda, M. & Trost, S.G., 1996. "Associations between physical activity and other health behaviors in a representative sample of US adolescents," American Journal of Public Health, American Public Health Association, vol. 86(11), pages 1577-1581.
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