Identifying effective intervention strategies to reduce children's screen time: a systematic review and meta-analysis
Jones A, Armstrong B, Weaver RG, Parker H, von Klinggraeff L, Beets MW
The international journal of behavioral nutrition and physical activity · 74 citas
Cómo se estudió
- Diseño
- Metaanálisis (indexado por PubMed)
- Estudiado en
- Personas
- Resultado principal
- Sin resultado de salud
Quién lo pagó
- Financiación
- Financiación independiente
- Gobierno
- National Institutes of Health
- Gobierno
- National Institute of General Medical Sciences
- Gobierno
- NIGMS NIH HHS
- Subvenciones
- National Institute of General Medical Sciences (T32-GM081740); National Institutes of Health (T32-GM081740)
Según 3 financiadores declarados y la declaración de financiación del texto completo.
Publicación
- Publicado
- 2021-09-16 · Int J Behav Nutr Phys Act · vol. 18 · número 1 · pág. 126
- Editorial
- BioMed Central
- Citado
- 138 citas · más que el 97% de estudios similares · 6.3× el promedio de su campo
- Impacto
- Entre el 10 % más citado de su campo
- Referencias
- 263 trabajos
- Acceso
- Acceso abierto (revista) · CC-BY
- Áreas de investigación
- Child Development and Digital Technology · Obesity, Physical Activity, Diet · Mobile Health and mHealth Applications
- Palabras clave
- children's screen time, behaviour change techniques, study characteristics, sample size, intervention duration, intervention effectiveness, childhood obesity, sedentary behavior, sleep disruption, dietary behavior, physical inactivity, scaling up interventions, translational research, risk of bias, meta-regression, meta-analysis of interventions, children and adolescents
- MeSH
- humans, time factors, child, pediatric obesity, screen time, sedentary behavior
6 autores
- Alexis Jones🇺🇸 · autor de correspondenciaUniversity of South Carolina
- Bridget Armstrong🇺🇸University of South Carolina
- Robert Glenn Weaver🇺🇸University of South Carolina
- Hannah Parker🇺🇸University of South Carolina
- Lauren von Klinggraeff🇺🇸University of South Carolina
- Michael W. Beets🇺🇸University of South Carolina
Resumen
El texto original del estudio, en el idioma en que se publicó.
Background
Excessive screen time ([Formula: see text] 2 h per day) is associated with childhood overweight and obesity, physical inactivity, increased sedentary time, unfavorable dietary behaviors, and disrupted sleep. Previous reviews suggest intervening on screen time is associated with reductions in screen time and improvements in other obesogenic behaviors. However, it is unclear what study characteristics and behavior change techniques are potential mechanisms underlying the effectiveness of behavioral interventions. The purpose of this meta-analysis was to identify the behavior change techniques and study characteristics associated with effectiveness in behavioral interventions to reduce children's (0-18 years) screen time.
Methods
A literature search of four databases (Ebscohost, Web of Science, EMBASE, and PubMed) was executed between January and February 2020 and updated during July 2021. Behavioral interventions targeting reductions in children's (0-18 years) screen time were included. Information on study characteristics (e.g., sample size, duration) and behavior change techniques (e.g., information, goal-setting) were extracted. Data on randomization, allocation concealment, and blinding was extracted and used to assess risk of bias. Meta-regressions were used to explore whether intervention effectiveness was associated with the presence of behavior change techniques and study characteristics.
Results
The search identified 15,529 articles, of which 10,714 were screened for relevancy and 680 were retained for full-text screening. Of these, 204 studies provided quantitative data in the meta-analysis. The overall summary of random effects showed a small, beneficial impact of screen time interventions compared to controls (SDM = 0.116, 95CI 0.08 to 0.15). Inclusion of the Goals, Feedback, and Planning behavioral techniques were associated with a positive impact on intervention effectiveness (SDM = 0.145, 95CI 0.11 to 0.18). Interventions with smaller sample sizes (n < 95) delivered over short durations (< 52 weeks) were associated with larger effects compared to studies with larger sample sizes delivered over longer durations. In the presence of the Goals, Feedback, and Planning behavioral techniques, intervention effectiveness diminished as sample size increased.
Conclusions
Both intervention content and context are important to consider when designing interventions to reduce children's screen time. As interventions are scaled, determining the active ingredients to optimize interventions along the translational continuum will be crucial to maximize reductions in children's screen time.
Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial (CC BY).
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