Literature DB >> 27798796

Screen Time and Health Indicators Among Children and Youth: Current Evidence, Limitations and Future Directions.

Travis J Saunders1, Jeff K Vallance2.   

Abstract

Despite accumulating evidence linking screen-based sedentary behaviours (i.e. screen time) with poorer health outcomes among children and youth <18 years of age, the prevalence of these behaviours continues to increase, with roughly half of children and youth exceeding the public health screen time recommendation of 2 h per day or less. The purpose of this article is to provide an overview of key research initiatives aimed at understanding the associations between screen time and health indicators including physical health, quality of life and psychosocial health. Available evidence suggests that screen time is deleteriously associated with numerous health indicators in child and youth populations, including adiposity, aerobic fitness, quality of life, self-esteem, pro-social behaviour, academic achievement, depression and anxiety. However, few longitudinal or intervention studies have been conducted, with most of these studies focusing on physical health indicators. While most studies have used self-reported assessments of screen time, the availability of more objective assessment methods presents important opportunities (e.g. more accurate and precise assessment of sedentary time and screen time) and challenges (e.g. privacy and participant burden). Novel statistical approaches such as isotemporal substitution modelling and compositional analysis, as well as studies using longitudinal and experimental methodologies, are needed to better understand the health impact of excessive screen time, and to develop strategies to minimise or reverse the negative impacts of these behaviours. The evidence to date suggests a clear need for policy aimed at minimising the hazardous health consequences associated with screen time among children and youth.

Entities:  

Mesh:

Year:  2017        PMID: 27798796     DOI: 10.1007/s40258-016-0289-3

Source DB:  PubMed          Journal:  Appl Health Econ Health Policy        ISSN: 1175-5652            Impact factor:   2.561


  41 in total

1.  Age-varying associations between lifestyle risk factors and major depressive disorder: a nationally representative cross-sectional study of adolescents.

Authors:  Matthew Sunderland; Katrina Champion; Tim Slade; Cath Chapman; Nicola Newton; Louise Thornton; Frances Kay-Lambkin; Nyanda McBride; Steve Allsop; Belinda Parmenter; Maree Teesson
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2020-05-24       Impact factor: 4.328

2.  Associations of leisure screen time with cardiometabolic biomarkers in college-aged adults.

Authors:  Chantal A Vella; Katrina Taylor; Megan C Nelson
Journal:  J Behav Med       Date:  2020-05-26

3.  Anhedonia, screen time, and substance use in early adolescents: A longitudinal mediation analysis.

Authors:  Georgia Christodoulou; Anuja Majmundar; Chih-Ping Chou; Mary Ann Pentz
Journal:  J Adolesc       Date:  2019-12-05

4.  A Web-Based, Time-Use App To Assess Children's Movement Behaviors: Validation Study of My E-Diary for Activities and Lifestyle (MEDAL).

Authors:  Sarah Yi Xuan Tan; Airu Chia; Bee Choo Tai; Padmapriya Natarajan; Claire Marie Jie Lin Goh; Lynette P Shek; Seang Mei Saw; Mary Foong-Fong Chong; Falk Müller-Riemenschneider
Journal:  JMIR Pediatr Parent       Date:  2022-06-24

5.  Healthy lifestyle behaviours are positively and independently associated with academic achievement: An analysis of self-reported data from a nationally representative sample of Canadian early adolescents.

Authors:  Erin L Faught; Doug Gleddie; Kate E Storey; Colleen M Davison; Paul J Veugelers
Journal:  PLoS One       Date:  2017-07-28       Impact factor: 3.240

6.  Sedentary behavior among Spanish children and adolescents: findings from the ANIBES study.

Authors:  Juan Mielgo-Ayuso; Raquel Aparicio-Ugarriza; Adrian Castillo; Emma Ruiz; Jose M Avila; Javier Aranceta-Bartrina; Angel Gil; Rosa M Ortega; Lluis Serra-Majem; Gregorio Varela-Moreiras; Marcela González-Gross
Journal:  BMC Public Health       Date:  2017-01-19       Impact factor: 3.295

7.  Different healthy habits between northern and southern Spanish school children.

Authors:  Daniel Arriscado; Emily Knox; Mikel Zabala; Félix Zurita-Ortega; Jose Maria Dalmau; Jose Joaquin Muros
Journal:  Z Gesundh Wiss       Date:  2017-08-14

8.  Association Between Screen Time, Fast Foods, Sugar-Sweetened Beverages and Depressive Symptoms in Chinese Adolescents.

Authors:  Honglv Xu; Jichang Guo; Yuhui Wan; Shichen Zhang; Rong Yang; Huiqiong Xu; Peng Ding; Fangbiao Tao
Journal:  Front Psychiatry       Date:  2020-05-26       Impact factor: 4.157

Review 9.  Exercise and lifestyle changes in pediatric asthma.

Authors:  Kim D Lu; Erick Forno
Journal:  Curr Opin Pulm Med       Date:  2020-01       Impact factor: 2.868

10.  Feasibility and reliability of the Self Administered Children's Lifestyle Assessment (SACLA), a new tool to measure children's lifestyle behaviors: the VIF Program.

Authors:  Jérémy Vanhelst; Valérie Deken; Gaëlle Boulic; Alain Duhamel; Monique Romon
Journal:  J Prev Med Hyg       Date:  2021-04-29
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