When it comes to lifestyle recommendations, more is sometimes less

A meta-analysis of theoretical assumptions underlying the effectiveness of interventions promoting multiple behavior domain change

Datos Bibliográficos

ID4418508
AutoresKristina Wilson (0000-0002-6654-193X), Ibrahim Senay (0000-0003-1593-4730), Marta Durantini, Marta R Durantini (0000-0003-1996-5710), Flor Sánchez (0000-0002-8058-5584), Michael Hennessy (0000-0001-7176-3089), Barbara Spring (0000-0003-0692-9868), Dolores Albarracin (0000-0002-9878-942X)
Año2015
Volumen141
Número2
Páginas474-509
Fecha de publicación2015-03-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaPsychological Bulletin (JOURNAL)
Identificadores de la revistaISSN: 0033-2909 • E-ISSN: 1939-1455
EditorialAmerican Psychological Association (APA) (PUBLISHER)
DOI10.1037/a0038295
PMID25528345
OpenAlexW2045174619
IdiomaEN
Citas recibidas18

A meta-analysis of 150 research reports summarizing the results of multiple behavior domain interventions examined theoretical predictions about the effects of the included number of recommendations on behavioral and clinical change in the domains of smoking, diet, and physical activity. The meta-analysis yielded 3 main conclusions. First, there is a curvilinear relation between the number of behavioral recommendations and improvements in behavioral and clinical measures, with a moderate number of recommendations producing the highest level of change. A moderate number of recommendations is likely to be associated with stronger effects because the intervention ensures the necessary level of motivation to implement the recommended changes, thereby increasing compliance with the goals set by the intervention, without making the intervention excessively demanding. Second, this curve was more pronounced when samples were likely to have low motivation to change, such as when interventions were delivered to nonpatient (vs. patient) populations, were implemented in nonclinic (vs. clinic) settings, used lay community (vs. expert) facilitators, and involved group (vs. individual) delivery formats. Finally, change in behavioral outcomes mediated the effects of number of recommended behaviors on clinical change. These findings provide important insights that can help guide the design of effective multiple behavior domain interventions

Behavior change · Behavior change methods · Behaviour change · Domain (mathematical analysis · Intervention (counseling · Meta-analysis · Psychiatry · Psychological intervention · Set (abstract data type · Behavioral Health and Interventions · Computer Science · Eating Disorders and Behaviors · Medicine · Obesity, Physical Activity, Diet · Psychology · Applied Psychology · Clinical Psychology · Social Psychology