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Exploring factors of adherence to weight loss interventions in population with overweight/obesity: an umbrella review.
Wang, Deng; Benito, Pedro J; Rubio-Arias, Jacobo Á; Ramos-Campo, Domingo J; Rojo-Tirado, Miguel A.
Afiliação
  • Wang D; LFE Research Group, Department of Health and Human Performance, Faculty of Physical Activity and Sport Science (INEF), Universidad Politécnica de Madrid (UPM), Madrid, Spain.
  • Benito PJ; LFE Research Group, Department of Health and Human Performance, Faculty of Physical Activity and Sport Science (INEF), Universidad Politécnica de Madrid (UPM), Madrid, Spain.
  • Rubio-Arias JÁ; Health Research Centre, Department of Education, Faculty of Educational Sciences, University of Almería, Almería, Spain.
  • Ramos-Campo DJ; LFE Research Group, Department of Health and Human Performance, Faculty of Physical Activity and Sport Science (INEF), Universidad Politécnica de Madrid (UPM), Madrid, Spain.
  • Rojo-Tirado MA; LFE Research Group, Department of Health and Human Performance, Faculty of Physical Activity and Sport Science (INEF), Universidad Politécnica de Madrid (UPM), Madrid, Spain.
Obes Rev ; : e13783, 2024 May 28.
Article em En | MEDLINE | ID: mdl-38807509
ABSTRACT
Adherence is key for achieving the optimal benefits from a weight loss intervention. Despite the number of studies on factors that promote adherence, their findings suggest inconsistent and fragmented evidence. The aim of this study was to review the existing factors of adherence to weight loss interventions and to find factors that facilitate the design of effective intervention programs. Six databases were searched for this umbrella review; after the screening process, 21 studies were included. A total of 47 factors were identified in six groups as relevant for adherence (i) sociodemographic (n = 7), (ii) physical activity (n = 2), (iii) dietary (n = 8), (iv) behavioral (n = 4), (v) pharmacological (n = 3), and (vi) multi-intervention (n = 23). In addition, a map of adherence factors was created. The main findings are that with respect to demographic factors, the development of personalized intervention strategies based on the characteristics of specific populations is encouraged. Moreover, self-monitoring has been shown to be effective in behavioral, dietary, and multi-interventions, while technology has shown potential in dietary, behavioral, and multi-interventions. In addition, multi-interventions are adherence-promoting strategies, although more evidence is required on adherence to pharmacological interventions. Overall, the factor map can be controlled and modified by researchers and practitioners to improve adherence to weight loss interventions.
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Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Obes Rev Assunto da revista: METABOLISMO Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Obes Rev Assunto da revista: METABOLISMO Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Espanha