Skip to main content
Top
Published in: BMC Primary Care 1/2022

Open Access 01-12-2022 | Obesity | Research

Screen time increases overweight and obesity risk among adolescents: a systematic review and dose-response meta-analysis

Authors: Purya Haghjoo, Goli Siri, Ensiye Soleimani, Mahdieh Abbasalizad Farhangi, Samira Alesaeidi

Published in: BMC Primary Care | Issue 1/2022

Login to get access

Abstract

Background

Adolescence is a critical period in human life, associated with reduced physical activity and increased sedentary behaviors. In this systematic review and dose-response meta-analysis, we evaluated the association between screen time and risk of overweight/obesity among adolescents.

Methods

A systematic search in electronic databases, including PubMed, Embase, and Scopus was performed up to September 2021. All published studies evaluating the association between screen time and risk of overweight/obesity among adolescents were retrieved. Finally, a total of 44 eligible studies were included in the meta-analysis.

Results

The results of the two-class meta-analysis showed that adolescents at the highest category of screen time were 1.27 times more likely to develop overweight/obesity (OR = 1.273; 95% CI = 1.166–1.390; P < 0.001; I-squared (variation in ES attributable to heterogeneity) = 82.1%). The results of subgrouping showed that continent and setting were the possible sources of heterogeneity. Moreover, no evidence of non-linear association between increased screen time and risk of overweight/obesity among adolescents was observed (P-nonlinearity = 0.311).

Conclusion

For the first time, the current systematic review and meta-analysis revealed a positive association between screen time and overweight/obesity among adolescents without any dose-response evidence.

Trial registration

The protocol of the current work has been registered in the PROSPERO system (Registration number: CRD42021233899).
Appendix
Available only for authorised users
Literature
1.
go back to reference Suchert V, Hanewinkel R, Isensee B. Screen time, weight status and the self-concept of physical attractiveness in adolescents. J Adolesc. 2016;48:11–7.PubMedCrossRef Suchert V, Hanewinkel R, Isensee B. Screen time, weight status and the self-concept of physical attractiveness in adolescents. J Adolesc. 2016;48:11–7.PubMedCrossRef
2.
go back to reference Pate RR, Mitchell J, Byun W, Dowda M. Sedentary behaviour in youth. Br J Sports Med. 2011;45(11):906e913.CrossRef Pate RR, Mitchell J, Byun W, Dowda M. Sedentary behaviour in youth. Br J Sports Med. 2011;45(11):906e913.CrossRef
3.
go back to reference Hardy LL, Dobbins T, Booth ML, Denney-Wilson E, Okely AD. Sedentary behaviours among Australian adolescents. Aust New Zealand. J Public Health. 2006;30(6):534e540. Hardy LL, Dobbins T, Booth ML, Denney-Wilson E, Okely AD. Sedentary behaviours among Australian adolescents. Aust New Zealand. J Public Health. 2006;30(6):534e540.
4.
go back to reference Domoff SE, Sutherland E, Yokum S, Gearhardt AN. The association of adolescents’ television viewing with body mass index percentile, food addiction, and addictive phone use. Appetite. 2021:157;104990. Domoff SE, Sutherland E, Yokum S, Gearhardt AN. The association of adolescents’ television viewing with body mass index percentile, food addiction, and addictive phone use. Appetite. 2021:157;104990.
5.
go back to reference Fairman RT, Weaver SR, Akani BC, Dixon K, Popova L. “You have to vape to make it through”: E-cigarette outcome expectancies among youth and parents. Am J Health Behav. 2021;45(5):933–46.PubMedCrossRef Fairman RT, Weaver SR, Akani BC, Dixon K, Popova L. “You have to vape to make it through”: E-cigarette outcome expectancies among youth and parents. Am J Health Behav. 2021;45(5):933–46.PubMedCrossRef
6.
go back to reference Rideout V, Robb M. The common sense census: media use by tweens and teens: Common Sense; 2021. p. 1–104. Rideout V, Robb M. The common sense census: media use by tweens and teens: Common Sense; 2021. p. 1–104.
7.
go back to reference Throuvala MA, Griffiths MD, Rennoldson M, Kuss DJ. The role of recreational online activities in school-based screen time sedentary behaviour interventions for adolescents: a systematic and critical literature review. Int J Ment Heal Addict. 2021;19:1065–115. Throuvala MA, Griffiths MD, Rennoldson M, Kuss DJ. The role of recreational online activities in school-based screen time sedentary behaviour interventions for adolescents: a systematic and critical literature review. Int J Ment Heal Addict. 2021;19:1065–115.
8.
go back to reference Twenge JM, Martin GN, Campbell WK. Decreases in psychological well-being among American adolescents after 2012 and links to screen time during the rise of smartphone technology. Emotion. 2018;18(6):765–80.PubMedCrossRef Twenge JM, Martin GN, Campbell WK. Decreases in psychological well-being among American adolescents after 2012 and links to screen time during the rise of smartphone technology. Emotion. 2018;18(6):765–80.PubMedCrossRef
9.
go back to reference Zhou J, Li Z, Meng H, Chang Y-C, Peng N-H, Wei B. Chinese parental awareness of Children's COVID-19 protective measures. Am J Health Behav. 2021;45(4):657–64.PubMedCrossRef Zhou J, Li Z, Meng H, Chang Y-C, Peng N-H, Wei B. Chinese parental awareness of Children's COVID-19 protective measures. Am J Health Behav. 2021;45(4):657–64.PubMedCrossRef
10.
go back to reference Schroeder K, Kubik MY, Sirard JR, Lee J, Fulkerson JA. Sleep is inversely associated with sedentary time among youth with obesity. Am J Health Behav. 2020;44(6):756–64.PubMedPubMedCentralCrossRef Schroeder K, Kubik MY, Sirard JR, Lee J, Fulkerson JA. Sleep is inversely associated with sedentary time among youth with obesity. Am J Health Behav. 2020;44(6):756–64.PubMedPubMedCentralCrossRef
11.
go back to reference Kamolthip R, Fung XC, Lin C-Y, Latner JD, O'Brien KS. Relationships among physical activity, health-related quality of life, and weight stigma in children in Hong Kong. Am J Health Behav. 2021;45(5):828–42.PubMedCrossRef Kamolthip R, Fung XC, Lin C-Y, Latner JD, O'Brien KS. Relationships among physical activity, health-related quality of life, and weight stigma in children in Hong Kong. Am J Health Behav. 2021;45(5):828–42.PubMedCrossRef
12.
go back to reference Lutz M, Vargas C, Stojanova J, Arancibia M. Diet and depressive disorders. Arch Clin Psychiatry (São Paulo). 2021;48:117–22. Lutz M, Vargas C, Stojanova J, Arancibia M. Diet and depressive disorders. Arch Clin Psychiatry (São Paulo). 2021;48:117–22.
13.
go back to reference Tremblay MS, LeBlanc AG, Janssen I, Kho ME, Hicks A, Murumets K, et al. Canadian sedentary behaviour guidelines for children and youth. Appl Physiol Nutr Metab. 2011;36(1):59–64.PubMedCrossRef Tremblay MS, LeBlanc AG, Janssen I, Kho ME, Hicks A, Murumets K, et al. Canadian sedentary behaviour guidelines for children and youth. Appl Physiol Nutr Metab. 2011;36(1):59–64.PubMedCrossRef
14.
go back to reference Sisson SB, Church TS, Martin CK, Tudor-Locke C, Smith SR, Bouchard C, et al. Profiles of sedentary behavior in children and adolescents: the US National Health and nutrition examination survey, 20012006. Int J Pediatr Obes. 2009;4(4):353–9.PubMedPubMedCentralCrossRef Sisson SB, Church TS, Martin CK, Tudor-Locke C, Smith SR, Bouchard C, et al. Profiles of sedentary behavior in children and adolescents: the US National Health and nutrition examination survey, 20012006. Int J Pediatr Obes. 2009;4(4):353–9.PubMedPubMedCentralCrossRef
15.
go back to reference Currie C, Zanotti C, Morgan A. Social determinants of health and well-being among young people health behaviour in school-aged children (HBSC): international report from the 2009/2010 survey. In: Health policy for children and adolescents: WHO Regional Office for Europe; 2012. p. 1–252. Currie C, Zanotti C, Morgan A. Social determinants of health and well-being among young people health behaviour in school-aged children (HBSC): international report from the 2009/2010 survey. In: Health policy for children and adolescents: WHO Regional Office for Europe; 2012. p. 1–252.
16.
go back to reference Tang D, Bu T, Feng Q, Liu Y, Dong X. Differences in overweight and obesity between the north and south of China. Am J Health Behav. 2020;44(6):780–93.PubMedCrossRef Tang D, Bu T, Feng Q, Liu Y, Dong X. Differences in overweight and obesity between the north and south of China. Am J Health Behav. 2020;44(6):780–93.PubMedCrossRef
17.
go back to reference Coombs NA, Stamatakis E. Associations between objectively assessed and questionnaire-based sedentary behaviour with BMI-defined obesity among general population children and adolescents living in England. BMJ Open. 2015;5(6):e007172.PubMedPubMedCentralCrossRef Coombs NA, Stamatakis E. Associations between objectively assessed and questionnaire-based sedentary behaviour with BMI-defined obesity among general population children and adolescents living in England. BMJ Open. 2015;5(6):e007172.PubMedPubMedCentralCrossRef
18.
go back to reference Guillaume M, Lapidus L, Björntorp P, Lambert A. Physical activity, obesity, and cardiovascular risk factors in children. The Belgian Luxembourg child study II. Obes Res. 1997;5(6):549–56.PubMedCrossRef Guillaume M, Lapidus L, Björntorp P, Lambert A. Physical activity, obesity, and cardiovascular risk factors in children. The Belgian Luxembourg child study II. Obes Res. 1997;5(6):549–56.PubMedCrossRef
19.
go back to reference Burke V, Beilin LJ, Simmer K, Oddy WH, Blake KV, Doherty D, et al. Predictors of body mass index and associations with cardiovascular risk factors in Australian children: a prospective cohort study. Int J Obes. 2005;29(1):15–23.CrossRef Burke V, Beilin LJ, Simmer K, Oddy WH, Blake KV, Doherty D, et al. Predictors of body mass index and associations with cardiovascular risk factors in Australian children: a prospective cohort study. Int J Obes. 2005;29(1):15–23.CrossRef
20.
go back to reference Martinez-Gomez D, Rey-López JP, Chillón P, Gómez-Martínez S, Vicente-Rodríguez G, Martín-Matillas M, et al. Excessive TV viewing and cardiovascular disease risk factors in adolescents. The AVENA cross-sectional study. BMC Public Health. 2010;10:274.PubMedPubMedCentralCrossRef Martinez-Gomez D, Rey-López JP, Chillón P, Gómez-Martínez S, Vicente-Rodríguez G, Martín-Matillas M, et al. Excessive TV viewing and cardiovascular disease risk factors in adolescents. The AVENA cross-sectional study. BMC Public Health. 2010;10:274.PubMedPubMedCentralCrossRef
21.
go back to reference Mota J, Ribeiro JC, Carvalho J, Santos MP, Martins J. Television viewing and changes in body mass index and cardiorespiratory fitness over a two-year period in schoolchildren. Pediatr Exerc Sci. 2010;22(2):245–53.PubMedCrossRef Mota J, Ribeiro JC, Carvalho J, Santos MP, Martins J. Television viewing and changes in body mass index and cardiorespiratory fitness over a two-year period in schoolchildren. Pediatr Exerc Sci. 2010;22(2):245–53.PubMedCrossRef
22.
go back to reference Franceschin MJ, da Veiga GV. Association of cardiorespiratory fitness, physical activity level, and sedentary behaviour with overweight in adolescents. Revista Brasileira de Cineantropometria e Desempenho Humano. 2020;22:1–12.CrossRef Franceschin MJ, da Veiga GV. Association of cardiorespiratory fitness, physical activity level, and sedentary behaviour with overweight in adolescents. Revista Brasileira de Cineantropometria e Desempenho Humano. 2020;22:1–12.CrossRef
23.
go back to reference Safiri S, Kelishadi R, Qorbani M, Abbasi-Ghah-Ramanloo A, Motlagh ME, Ardalan G, et al. Screen time and its relation to cardiometabolic risk among children and adolescents: the CASPIAN-III study. Iran J Public Health. 2015;44(1):35–44. Safiri S, Kelishadi R, Qorbani M, Abbasi-Ghah-Ramanloo A, Motlagh ME, Ardalan G, et al. Screen time and its relation to cardiometabolic risk among children and adolescents: the CASPIAN-III study. Iran J Public Health. 2015;44(1):35–44.
24.
go back to reference Ulaganathan V, Kandiah M, Shariff ZM. A case–control study on the association of abdominal obesity and hypercholesterolemia with the risk of colorectal cancer. J Carcinogenesis. 2018;17. Ulaganathan V, Kandiah M, Shariff ZM. A case–control study on the association of abdominal obesity and hypercholesterolemia with the risk of colorectal cancer. J Carcinogenesis. 2018;17.
25.
go back to reference Putrawan HA, Antariksa B, Yunus F, Basalamah MA, Nurwidya F. Prevalence of pulmonary hypertension in indonesian patients with stable chronic obstructive pulmonary disease. J Nat Sci Biol Med. 2019;10(1):49. Putrawan HA, Antariksa B, Yunus F, Basalamah MA, Nurwidya F. Prevalence of pulmonary hypertension in indonesian patients with stable chronic obstructive pulmonary disease. J Nat Sci Biol Med. 2019;10(1):49.
26.
go back to reference Cheng L, Li Q, Hebestreit A, Song Y, Wang D, Cheng Y, et al. The associations of specific school-and individual-level characteristics with obesity among primary school children in Beijing, China. Public Health Nutrition. 2020;23(10):1838–45.PubMedCrossRef Cheng L, Li Q, Hebestreit A, Song Y, Wang D, Cheng Y, et al. The associations of specific school-and individual-level characteristics with obesity among primary school children in Beijing, China. Public Health Nutrition. 2020;23(10):1838–45.PubMedCrossRef
27.
go back to reference Dalamaria T, De Jesus Pinto W, Dos Santos Farias E, De Souza OF. Internet addiction among adolescents in a western brazilian amazonian city. Revista Paulista de. Pediatria. 2021;39. Dalamaria T, De Jesus Pinto W, Dos Santos Farias E, De Souza OF. Internet addiction among adolescents in a western brazilian amazonian city. Revista Paulista de. Pediatria. 2021;39.
28.
go back to reference Lopez-Gonzalez D, Partida-Gaytán A, Wells JC, Reyes-Delpech P, Avila-Rosano F, Ortiz-Obregon M, et al. Obesogenic lifestyle and its influence on adiposity in children and adolescents, evidence from mexico. Nutrients. 2020;12(3). Lopez-Gonzalez D, Partida-Gaytán A, Wells JC, Reyes-Delpech P, Avila-Rosano F, Ortiz-Obregon M, et al. Obesogenic lifestyle and its influence on adiposity in children and adolescents, evidence from mexico. Nutrients. 2020;12(3).
29.
go back to reference Haidar A, Ranjit N, Archer N, Hoelscher DM. Parental and peer social support is associated with healthier physical activity behaviors in adolescents: a cross-sectional analysis of Texas school physical activity and nutrition (TX SPAN) data. BMC Public Health. 2019;19(1). Haidar A, Ranjit N, Archer N, Hoelscher DM. Parental and peer social support is associated with healthier physical activity behaviors in adolescents: a cross-sectional analysis of Texas school physical activity and nutrition (TX SPAN) data. BMC Public Health. 2019;19(1).
30.
go back to reference Kerkadi A, Sadig AH, Bawadi H, Thani AAMA, Chetachi WA, Akram H, et al. The relationship between lifestyle factors and obesity indices among adolescents in Qatar. Int J Environ Res Public Health. 2019;16(22). Kerkadi A, Sadig AH, Bawadi H, Thani AAMA, Chetachi WA, Akram H, et al. The relationship between lifestyle factors and obesity indices among adolescents in Qatar. Int J Environ Res Public Health. 2019;16(22).
31.
go back to reference Saha M, Adhikary DK, Parvin I, Sharma YR, Akhter F, Majumder M. Obesity and its risk factors of among school children in Sylhet, Bangladesh. J Nepal Health Res Counc. 2018;16(2):205–8.PubMed Saha M, Adhikary DK, Parvin I, Sharma YR, Akhter F, Majumder M. Obesity and its risk factors of among school children in Sylhet, Bangladesh. J Nepal Health Res Counc. 2018;16(2):205–8.PubMed
32.
33.
go back to reference Zulfiqar T, Strazdins L, Dinh H, Banwell C, D'Este C. Drivers of overweight/obesity in 4-11 year old children of Australians and immigrants; evidence from growing up in Australia. J Immigr Minor Health. 2019;21(4):737–50.PubMedCrossRef Zulfiqar T, Strazdins L, Dinh H, Banwell C, D'Este C. Drivers of overweight/obesity in 4-11 year old children of Australians and immigrants; evidence from growing up in Australia. J Immigr Minor Health. 2019;21(4):737–50.PubMedCrossRef
34.
go back to reference Collins AE, Pakiz B, Rock CL. Factors associated with obesity in Indonesian adolescents. Int J Pediatr Obes. 2008;3(1):58–64.PubMedCrossRef Collins AE, Pakiz B, Rock CL. Factors associated with obesity in Indonesian adolescents. Int J Pediatr Obes. 2008;3(1):58–64.PubMedCrossRef
35.
go back to reference De Lima TR, Moraes MS, Andrade JHC, De Farias JM, Silva DAS. Associated factors with the isolated and simultaneous presence of overweight and abdominal obesity in adolescents. Revista Paulista de Pediatria. 2020;38. De Lima TR, Moraes MS, Andrade JHC, De Farias JM, Silva DAS. Associated factors with the isolated and simultaneous presence of overweight and abdominal obesity in adolescents. Revista Paulista de Pediatria. 2020;38.
36.
go back to reference Alyoubi RA, Kobeisy SA, Souror HN, Alkhaldi FA, Aldajam MA, Allebdi KS, et al. Active screen time habits and headache features among adolescents and young adults in Saudi Arabia. Int J Pharm Res Allied Sci. 2020;9(4):81–6. Alyoubi RA, Kobeisy SA, Souror HN, Alkhaldi FA, Aldajam MA, Allebdi KS, et al. Active screen time habits and headache features among adolescents and young adults in Saudi Arabia. Int J Pharm Res Allied Sci. 2020;9(4):81–6.
37.
go back to reference Amigo I, Peña E, Errasti JM, Busto R. Sedentary versus active leisure activities and their relationship with sleeping habits and body mass index in children of 9 and 10 years of age. J Health Psychol. 2016;21(7):1472–80.PubMedCrossRef Amigo I, Peña E, Errasti JM, Busto R. Sedentary versus active leisure activities and their relationship with sleeping habits and body mass index in children of 9 and 10 years of age. J Health Psychol. 2016;21(7):1472–80.PubMedCrossRef
38.
go back to reference Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med. 2009;151(4):264–9.PubMedCrossRef Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med. 2009;151(4):264–9.PubMedCrossRef
39.
go back to reference Zhang Y, Zhang X, Li J, Zhong H, Pan CW. Associations of outdoor activity and screen time with adiposity: findings from rural Chinese adolescents with relatively low adiposity risks. BMC Public Health. 2020;20(1). Zhang Y, Zhang X, Li J, Zhong H, Pan CW. Associations of outdoor activity and screen time with adiposity: findings from rural Chinese adolescents with relatively low adiposity risks. BMC Public Health. 2020;20(1).
40.
go back to reference De Jong E, Visscher TLS, Hirasing RA, Heymans MW, Seidell JC, Renders CM. Association between TV viewing, computer use and overweight, determinants and competing activities of screen time in 4- to 13-year-old children. Int J Obes. 2013;37(1):47–53.CrossRef De Jong E, Visscher TLS, Hirasing RA, Heymans MW, Seidell JC, Renders CM. Association between TV viewing, computer use and overweight, determinants and competing activities of screen time in 4- to 13-year-old children. Int J Obes. 2013;37(1):47–53.CrossRef
41.
go back to reference Rincón-Pabón D, Urazán-Hernández Y, González-Santamaría J. Association between the time spent watching television and the sociodemographic characteristics with the presence of overweight and obesity in Colombian adolescents (secondary analysis of the ENSIN 2010). Plos One. 2019;14(5):e0216455.PubMedPubMedCentralCrossRef Rincón-Pabón D, Urazán-Hernández Y, González-Santamaría J. Association between the time spent watching television and the sociodemographic characteristics with the presence of overweight and obesity in Colombian adolescents (secondary analysis of the ENSIN 2010). Plos One. 2019;14(5):e0216455.PubMedPubMedCentralCrossRef
42.
go back to reference Mansoori N, Nisar N, Shahid N, Mubeen SM, Ahsan S. Prevalence of obesity and its risk factors among school children in Karachi, Pakistan. Trop Doct. 2018;48(4):266–9.PubMedCrossRef Mansoori N, Nisar N, Shahid N, Mubeen SM, Ahsan S. Prevalence of obesity and its risk factors among school children in Karachi, Pakistan. Trop Doct. 2018;48(4):266–9.PubMedCrossRef
43.
go back to reference Godakanda I, Abeysena C, Lokubalasooriya A. Sedentary behavior during leisure time, physical activity and dietary habits as risk factors of overweight among school children aged 14-15 years: case control study. BMC Res Notes. 2018;11(1):186.PubMedPubMedCentralCrossRef Godakanda I, Abeysena C, Lokubalasooriya A. Sedentary behavior during leisure time, physical activity and dietary habits as risk factors of overweight among school children aged 14-15 years: case control study. BMC Res Notes. 2018;11(1):186.PubMedPubMedCentralCrossRef
44.
go back to reference Talat MA, El Shahat E. Prevalence of overweight and obesity among preparatory school adolescents in urban Sharkia governorate, Egypt. Egypt Pediatr Assoc Gaz. 2016;64(1):20–5. Talat MA, El Shahat E. Prevalence of overweight and obesity among preparatory school adolescents in urban Sharkia governorate, Egypt. Egypt Pediatr Assoc Gaz. 2016;64(1):20–5.
45.
go back to reference Moradi G, Mostafavi F, Azadi N, Esmaeilnasab N, Nouri B. Evaluation of screen time activities and their relationship with physical activity, overweight and socioeconomic status in children 10-12 years of age in Sanandaj, Iran: a cross-sectional study in 2015. Med J Islam Repub Iran. 2016;30(1). Moradi G, Mostafavi F, Azadi N, Esmaeilnasab N, Nouri B. Evaluation of screen time activities and their relationship with physical activity, overweight and socioeconomic status in children 10-12 years of age in Sanandaj, Iran: a cross-sectional study in 2015. Med J Islam Repub Iran. 2016;30(1).
46.
go back to reference Watharkar A, Nigam S, Martolia DS, Varma P, Barman SK, Sharma RP. Assessment of risk factors for overweight and obesity among school going children in Kanpur, Uttar Pradesh. Indian J Community Health. 2015;27(2):216–22. Watharkar A, Nigam S, Martolia DS, Varma P, Barman SK, Sharma RP. Assessment of risk factors for overweight and obesity among school going children in Kanpur, Uttar Pradesh. Indian J Community Health. 2015;27(2):216–22.
47.
go back to reference De Lucena JMS, Cheng LA, Cavalcante TLM, Da Silva VA, De Farias JC. Prevalence of excessive screen time and associated factors in adolescents. Revista Paulista de Pediatria. 2015;33(4):407–14.PubMedPubMedCentralCrossRef De Lucena JMS, Cheng LA, Cavalcante TLM, Da Silva VA, De Farias JC. Prevalence of excessive screen time and associated factors in adolescents. Revista Paulista de Pediatria. 2015;33(4):407–14.PubMedPubMedCentralCrossRef
48.
go back to reference Velásquez-Rodríguez CM, Velásquez-Villa M, Gómez-Ocampo L, Bermúdez-Cardona J. Abdominal obesity and low physical activity are associated with insulin resistance in overweight adolescents: a cross-sectional study. BMC Pediatr. 2014;14:258.PubMedPubMedCentralCrossRef Velásquez-Rodríguez CM, Velásquez-Villa M, Gómez-Ocampo L, Bermúdez-Cardona J. Abdominal obesity and low physical activity are associated with insulin resistance in overweight adolescents: a cross-sectional study. BMC Pediatr. 2014;14:258.PubMedPubMedCentralCrossRef
49.
go back to reference Ercan S, Dallar YB, Önen S, Engiz O. Prevalence of obesity and associated risk factors among adolescents in Ankara, Turkey. J Clin Res Pediatr Endocrinol. 2012;4(4):204–7.PubMedPubMedCentral Ercan S, Dallar YB, Önen S, Engiz O. Prevalence of obesity and associated risk factors among adolescents in Ankara, Turkey. J Clin Res Pediatr Endocrinol. 2012;4(4):204–7.PubMedPubMedCentral
50.
go back to reference Drake KM, Beach ML, Longacre MR, MacKenzie T, Titus LJ, Rundle AG, et al. Influence of sports, physical education, and active commuting to school on adolescent weight status. Pediatrics. 2012;130(2):e296–304.PubMedPubMedCentralCrossRef Drake KM, Beach ML, Longacre MR, MacKenzie T, Titus LJ, Rundle AG, et al. Influence of sports, physical education, and active commuting to school on adolescent weight status. Pediatrics. 2012;130(2):e296–304.PubMedPubMedCentralCrossRef
51.
go back to reference Adesina AF, Peterside O, Anochie I, Akani NA. Weight status of adolescents in secondary schools in port Harcourt using body mass index (BMI). Ital J Pediatr. 2012;38:31.PubMedPubMedCentralCrossRef Adesina AF, Peterside O, Anochie I, Akani NA. Weight status of adolescents in secondary schools in port Harcourt using body mass index (BMI). Ital J Pediatr. 2012;38:31.PubMedPubMedCentralCrossRef
52.
go back to reference El-Gilany AH, El-Masry R. Overweight and obesity among adolescent school students in Mansoura, Egypt. Child Obes. 2011;7(3):215–22.CrossRef El-Gilany AH, El-Masry R. Overweight and obesity among adolescent school students in Mansoura, Egypt. Child Obes. 2011;7(3):215–22.CrossRef
53.
go back to reference Byun W, Dowda M, Pate RR. Associations between screen-based sedentary behavior and cardiovascular disease risk factors in Korean youth. J Korean Med Sci. 2012;27(4):388–94.PubMedPubMedCentralCrossRef Byun W, Dowda M, Pate RR. Associations between screen-based sedentary behavior and cardiovascular disease risk factors in Korean youth. J Korean Med Sci. 2012;27(4):388–94.PubMedPubMedCentralCrossRef
54.
go back to reference Cho CE, Taesuwan S, Malysheva OV, Bender E, Tulchinsky NF, Yan J. Trimethylamine-N-oxide (TMAO) response to animal source foods varies among healthy young men and is influenced by their gut microbiota composition: a randomized controlled trial. Mol Nutr Food Res. 2017;61:1600324.CrossRef Cho CE, Taesuwan S, Malysheva OV, Bender E, Tulchinsky NF, Yan J. Trimethylamine-N-oxide (TMAO) response to animal source foods varies among healthy young men and is influenced by their gut microbiota composition: a randomized controlled trial. Mol Nutr Food Res. 2017;61:1600324.CrossRef
55.
go back to reference Oxford University Press. Oxford English Dictionary. Oxford: Oxford University Press; 2020. Oxford University Press. Oxford English Dictionary. Oxford: Oxford University Press; 2020.
58.
go back to reference DO., M. The new WHO child growth standards. Paediatr Croat Suppl. 2008;52(SUPP.1):13–7. DO., M. The new WHO child growth standards. Paediatr Croat Suppl. 2008;52(SUPP.1):13–7.
59.
go back to reference Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ. 2000;320:1240–3.PubMedPubMedCentralCrossRef Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ. 2000;320:1240–3.PubMedPubMedCentralCrossRef
60.
go back to reference Anandam A, Akinnusi M, Kufel T, Porhomayon J, El-Solh AA. Effects of dietary weight loss on obstructive sleep apnea: a meta-analysis. Sleep Breath. 2013;17:227–34.PubMedCrossRef Anandam A, Akinnusi M, Kufel T, Porhomayon J, El-Solh AA. Effects of dietary weight loss on obstructive sleep apnea: a meta-analysis. Sleep Breath. 2013;17:227–34.PubMedCrossRef
61.
go back to reference Li L, Shen T, Wen LM, Wu M, He P, Wang Y, et al. Lifestyle factors associated with childhood obesity: a cross-sectional study in Shanghai, China. BMC Res Notes. 2015;8(1). Li L, Shen T, Wen LM, Wu M, He P, Wang Y, et al. Lifestyle factors associated with childhood obesity: a cross-sectional study in Shanghai, China. BMC Res Notes. 2015;8(1).
62.
go back to reference Bhadoria AS, Kapil U, Kaur S. Association of duration of time spent on television, computer and video games with obesity amongst children in national capital territory of Delhi. Int J Prev Med. 2015. Bhadoria AS, Kapil U, Kaur S. Association of duration of time spent on television, computer and video games with obesity amongst children in national capital territory of Delhi. Int J Prev Med. 2015.
63.
go back to reference Bingham DD, Varela-Silva MI, Ferrão MM, Augusta G, Mourão MI, Nogueira H, et al. Socio-demographic and behavioral risk factors associated with the high prevalence of overweight and obesity in portuguese children. Am J Hum Biol. 2013;25(6):733–42.PubMedCrossRef Bingham DD, Varela-Silva MI, Ferrão MM, Augusta G, Mourão MI, Nogueira H, et al. Socio-demographic and behavioral risk factors associated with the high prevalence of overweight and obesity in portuguese children. Am J Hum Biol. 2013;25(6):733–42.PubMedCrossRef
64.
go back to reference Koleilat M, Harrison GG, Whaley S, McGregor S, Jenks E, Afifi A. Preschool enrollment is associated with lower odds of childhood obesity among WIC participants in LA County. Matern Child Health J. 2012;16(3):706–12.PubMedCrossRef Koleilat M, Harrison GG, Whaley S, McGregor S, Jenks E, Afifi A. Preschool enrollment is associated with lower odds of childhood obesity among WIC participants in LA County. Matern Child Health J. 2012;16(3):706–12.PubMedCrossRef
65.
go back to reference Taylor AW, Winefield H, Kettler L, Roberts R, Gill TK. A population study of 5 to 15 year olds: full time maternal employment not associated with high BMI. The importance of screen-based activity, reading for pleasure and sleep duration in children's BMI. Matern Child Health J. 2012;16(3):587–99.PubMedCrossRef Taylor AW, Winefield H, Kettler L, Roberts R, Gill TK. A population study of 5 to 15 year olds: full time maternal employment not associated with high BMI. The importance of screen-based activity, reading for pleasure and sleep duration in children's BMI. Matern Child Health J. 2012;16(3):587–99.PubMedCrossRef
66.
go back to reference Balaban G, Motta ME, Silva GA. Early weaning and other potential risk factors for overweight among preschool children. Clinics (Sao Paulo). 2010;65(2):181–7.CrossRef Balaban G, Motta ME, Silva GA. Early weaning and other potential risk factors for overweight among preschool children. Clinics (Sao Paulo). 2010;65(2):181–7.CrossRef
67.
go back to reference Fulton JE, Wang X, Yore MM, Carlson SA, Galuska DA, Caspersen CJ. Television viewing, computer use, and BMI among U.S. children and adolescents. J Phys Act Health. 2009;6(Suppl 1):S28–35.PubMedCrossRef Fulton JE, Wang X, Yore MM, Carlson SA, Galuska DA, Caspersen CJ. Television viewing, computer use, and BMI among U.S. children and adolescents. J Phys Act Health. 2009;6(Suppl 1):S28–35.PubMedCrossRef
68.
go back to reference Khader Y, Irshaidat O, Khasawneh M, Amarin Z, Alomari M, Batieha A. Overweight and obesity among school children in Jordan: prevalence and associated factors. Matern Child Health J. 2009;13(3):424–31.PubMedCrossRef Khader Y, Irshaidat O, Khasawneh M, Amarin Z, Alomari M, Batieha A. Overweight and obesity among school children in Jordan: prevalence and associated factors. Matern Child Health J. 2009;13(3):424–31.PubMedCrossRef
69.
go back to reference Steele RM, Van Sluijs EMF, Cassidy A, Griffin SJ, Ekelund U. Targeting sedentary time or moderate- and vigorous-intensity activity: independent relations with adiposity in a population-based sample of 10-y-old British children. Am J Clin Nutr. 2009;90(5):1185–92.PubMedCrossRef Steele RM, Van Sluijs EMF, Cassidy A, Griffin SJ, Ekelund U. Targeting sedentary time or moderate- and vigorous-intensity activity: independent relations with adiposity in a population-based sample of 10-y-old British children. Am J Clin Nutr. 2009;90(5):1185–92.PubMedCrossRef
70.
go back to reference Da Costa Ribeiro I, Taddei JAAC, Colugnatti F. Obesity among children attending elementary public schools in Sao Paulo, Brazil: a case-control study. Public Health Nutr. 2003;6(7):659–63.CrossRef Da Costa Ribeiro I, Taddei JAAC, Colugnatti F. Obesity among children attending elementary public schools in Sao Paulo, Brazil: a case-control study. Public Health Nutr. 2003;6(7):659–63.CrossRef
71.
go back to reference Lagiou A, Parava M. Correlates of childhood obesity in Athens, Greece. Public Health Nutr. 2008;11(9):940–5.PubMedCrossRef Lagiou A, Parava M. Correlates of childhood obesity in Athens, Greece. Public Health Nutr. 2008;11(9):940–5.PubMedCrossRef
72.
go back to reference Stettler N, Signer TM, Suter PM. Electronic games and environmental factors associated with childhood obesity in Switzerland. Obes Res. 2004;12(6):896–903.PubMedCrossRef Stettler N, Signer TM, Suter PM. Electronic games and environmental factors associated with childhood obesity in Switzerland. Obes Res. 2004;12(6):896–903.PubMedCrossRef
73.
go back to reference Utter J, Scragg R, Schaaf D. Associations between television viewing and consumption of commonly advertised foods among New Zealand children and young adolescents. Public Health Nutr. 2006;9(5):606–12.PubMedCrossRef Utter J, Scragg R, Schaaf D. Associations between television viewing and consumption of commonly advertised foods among New Zealand children and young adolescents. Public Health Nutr. 2006;9(5):606–12.PubMedCrossRef
74.
go back to reference Hu EY, Ramachandran S, Bhattacharya K, Nunna S. Obesity among high school students in the United States: risk factors and their population attributable fraction. Prev Chronic Dis. 2018;15:E137.PubMedPubMedCentralCrossRef Hu EY, Ramachandran S, Bhattacharya K, Nunna S. Obesity among high school students in the United States: risk factors and their population attributable fraction. Prev Chronic Dis. 2018;15:E137.PubMedPubMedCentralCrossRef
75.
go back to reference Piryani S, Baral KP, Pradhan B, Poudyal AK, Piryani RM. Overweight and its associated risk factors among urban school adolescents in Nepal: a cross-sectional study. BMJ Open. 2016;6(5):e010335.PubMedPubMedCentralCrossRef Piryani S, Baral KP, Pradhan B, Poudyal AK, Piryani RM. Overweight and its associated risk factors among urban school adolescents in Nepal: a cross-sectional study. BMJ Open. 2016;6(5):e010335.PubMedPubMedCentralCrossRef
76.
go back to reference Strahan BE, Elder JH. Video game playing effects on obesity in an adolescent with autism spectrum disorder: a case study. Autism Res Treat. 2015;2015. Strahan BE, Elder JH. Video game playing effects on obesity in an adolescent with autism spectrum disorder: a case study. Autism Res Treat. 2015;2015.
77.
go back to reference Primack BA, Carroll MV, McNamara M, Klem ML, King B, Rich M, et al. Role of video games in improving health-related outcomes: a systematic review. Am J Prev Med. 2012;42(6):630–8.PubMedPubMedCentralCrossRef Primack BA, Carroll MV, McNamara M, Klem ML, King B, Rich M, et al. Role of video games in improving health-related outcomes: a systematic review. Am J Prev Med. 2012;42(6):630–8.PubMedPubMedCentralCrossRef
78.
go back to reference Williams WM, Ayres CG. Can active video games improve physical activity in adolescents? A review of RCT. Int J Environ Res Public Health. 2020;17(2):669.PubMedCentralCrossRef Williams WM, Ayres CG. Can active video games improve physical activity in adolescents? A review of RCT. Int J Environ Res Public Health. 2020;17(2):669.PubMedCentralCrossRef
79.
go back to reference Rivera IR, Silva MA, Silva RD, Oliveira BA, Carvalho AC. Physical inactivity, TV-watching hours and body composition in children and adolescents. Arq Bras Cardiol. 2010;95(2):159–65.PubMedCrossRef Rivera IR, Silva MA, Silva RD, Oliveira BA, Carvalho AC. Physical inactivity, TV-watching hours and body composition in children and adolescents. Arq Bras Cardiol. 2010;95(2):159–65.PubMedCrossRef
80.
go back to reference Goyal JP, Kumar N, Parmar I, Shah VB, Patel B. Determinants of overweight and obesity in affluent adolescent in Surat city, South Gujarat region, India. Indian J Commun Med. 2011;36(4):296–300.CrossRef Goyal JP, Kumar N, Parmar I, Shah VB, Patel B. Determinants of overweight and obesity in affluent adolescent in Surat city, South Gujarat region, India. Indian J Commun Med. 2011;36(4):296–300.CrossRef
81.
go back to reference Pitanga FJG, Alves CFA, Pamponet ML, Medina MG, Aquino R. Screen time as discriminator for overweight, obesity and abdominal obesity in adolescents. Revista Brasileira de Cineantropometria e Desempenho Humano. 2016;18(5):539–47.CrossRef Pitanga FJG, Alves CFA, Pamponet ML, Medina MG, Aquino R. Screen time as discriminator for overweight, obesity and abdominal obesity in adolescents. Revista Brasileira de Cineantropometria e Desempenho Humano. 2016;18(5):539–47.CrossRef
82.
go back to reference Edwardson CL, Gorely T, Davies MJ, Gray LJ, Khunti K, Wilmot EG. Association of sedentary behaviour with metabolic syndrome: a meta-analysis. Plos One. 2012;7(4):e34916.PubMedPubMedCentralCrossRef Edwardson CL, Gorely T, Davies MJ, Gray LJ, Khunti K, Wilmot EG. Association of sedentary behaviour with metabolic syndrome: a meta-analysis. Plos One. 2012;7(4):e34916.PubMedPubMedCentralCrossRef
83.
go back to reference Storz MA. The role of vegan diets in lipotoxicity-induced beta-cell dysfunction in type-2-diabetes. J Popul Ther Clin Pharmacol. 2020;27(SP2):e22–38.PubMedCrossRef Storz MA. The role of vegan diets in lipotoxicity-induced beta-cell dysfunction in type-2-diabetes. J Popul Ther Clin Pharmacol. 2020;27(SP2):e22–38.PubMedCrossRef
84.
go back to reference Temple JL, Giacomelli AM, Kent KM, Roemmich JN, Epstein LH. Television watching increases motivated responding for food and energy intake in children. Am J Clin Nutr. 2007;85(2):355–61.PubMedCrossRef Temple JL, Giacomelli AM, Kent KM, Roemmich JN, Epstein LH. Television watching increases motivated responding for food and energy intake in children. Am J Clin Nutr. 2007;85(2):355–61.PubMedCrossRef
85.
go back to reference Borghese M, Tremblay M, Leduc G, Boyer C, Belanger P, LeBlanc A, et al. Television viewing and food intake pattern of normal weight, overweight, and obese 9-11 year-old Canadian children. Obes Rev. 2014;15:232. Borghese M, Tremblay M, Leduc G, Boyer C, Belanger P, LeBlanc A, et al. Television viewing and food intake pattern of normal weight, overweight, and obese 9-11 year-old Canadian children. Obes Rev. 2014;15:232.
86.
go back to reference Taveras EM, Sandora TJ, Shih MC, Ross-Degnan D, Goldmann DA, Gillman MW. The association of television and video viewing with fast food intake by preschool-age children. Obesity (Silver Spring). 2006;14(11):2034–41.CrossRef Taveras EM, Sandora TJ, Shih MC, Ross-Degnan D, Goldmann DA, Gillman MW. The association of television and video viewing with fast food intake by preschool-age children. Obesity (Silver Spring). 2006;14(11):2034–41.CrossRef
87.
go back to reference Mariona P, Roy A. Survey on lifestyle and food habits of patients with PCOS and obesity. J Complement Med Res. 2021;11(5):93. Mariona P, Roy A. Survey on lifestyle and food habits of patients with PCOS and obesity. J Complement Med Res. 2021;11(5):93.
88.
go back to reference Chaput JP, Visby T, Nyby S, Klingenberg L, Gregersen NT, Tremblay A, et al. Video game playing increases food intake in adolescents: a randomized crossover study. Am J Clin Nutr. 2011;93(6):1196–203.PubMedCrossRef Chaput JP, Visby T, Nyby S, Klingenberg L, Gregersen NT, Tremblay A, et al. Video game playing increases food intake in adolescents: a randomized crossover study. Am J Clin Nutr. 2011;93(6):1196–203.PubMedCrossRef
89.
go back to reference Cessna T, Raudenbush B, Reed A, Hunker R. Effects of video game play on snacking behavior. Appetite. 2007;49(1):282.CrossRef Cessna T, Raudenbush B, Reed A, Hunker R. Effects of video game play on snacking behavior. Appetite. 2007;49(1):282.CrossRef
90.
go back to reference Chaput JP, Tremblay A, Pereira B, Boirie Y, Duclos M, Thivel D. Food intake response to exercise and active video gaming in adolescents: effect of weight status. Br J Nutr. 2015;115(3):547–53.PubMedCrossRef Chaput JP, Tremblay A, Pereira B, Boirie Y, Duclos M, Thivel D. Food intake response to exercise and active video gaming in adolescents: effect of weight status. Br J Nutr. 2015;115(3):547–53.PubMedCrossRef
91.
go back to reference Shi L, Mao Y. Excessive recreational computer use and food consumption behaviour among adolescents. Ital J Pediatr. 2010;36(1):1–4.CrossRef Shi L, Mao Y. Excessive recreational computer use and food consumption behaviour among adolescents. Ital J Pediatr. 2010;36(1):1–4.CrossRef
92.
go back to reference Fulton JE, Wang X, Yore MM, Carlson SA, Galuska DA, Caspersen CJ. Television viewing, computer use, and BMI among US children and adolescents. J Phys Act Health. 2009;6(s1):S28–35.PubMedCrossRef Fulton JE, Wang X, Yore MM, Carlson SA, Galuska DA, Caspersen CJ. Television viewing, computer use, and BMI among US children and adolescents. J Phys Act Health. 2009;6(s1):S28–35.PubMedCrossRef
93.
go back to reference Gilbert-Diamond D, Emond JA, Lansigan RK, Rapuano KM, Kelley WM, Heatherton TF, et al. Television food advertisement exposure and FTO rs9939609 genotype in relation to excess consumption in children. Int J Obes. 2017;41(1):23–9.CrossRef Gilbert-Diamond D, Emond JA, Lansigan RK, Rapuano KM, Kelley WM, Heatherton TF, et al. Television food advertisement exposure and FTO rs9939609 genotype in relation to excess consumption in children. Int J Obes. 2017;41(1):23–9.CrossRef
94.
go back to reference Ustjanauskas AE, Harris JL, Schwartz MB. Food and beverage advertising on children's web sites. Pediatr Obes. 2014;9(5):362–72.PubMedCrossRef Ustjanauskas AE, Harris JL, Schwartz MB. Food and beverage advertising on children's web sites. Pediatr Obes. 2014;9(5):362–72.PubMedCrossRef
95.
go back to reference Lee B, Kim H, Lee SK, Yoon J, Chung SJ. Effects of exposure to television advertising for energy-dense/nutrient-poor food on children's food intake and obesity in South Korea. Appetite. 2014;81:305–11.PubMedCrossRef Lee B, Kim H, Lee SK, Yoon J, Chung SJ. Effects of exposure to television advertising for energy-dense/nutrient-poor food on children's food intake and obesity in South Korea. Appetite. 2014;81:305–11.PubMedCrossRef
96.
go back to reference Dibildox J. Analysis of TV, advertising and other behavioral determinants of overweight and obesity in childhood. Salud Publica Mex. 2014;56(Suppl 2):s162–6.PubMed Dibildox J. Analysis of TV, advertising and other behavioral determinants of overweight and obesity in childhood. Salud Publica Mex. 2014;56(Suppl 2):s162–6.PubMed
97.
go back to reference Kar S, Khandelwal B. Fast foods and physical inactivity are risk factors for obesity and hypertension among adolescent school children in east district of Sikkim, India. J Nat Sci Biol Med. 2015;6(2):356.PubMedPubMedCentralCrossRef Kar S, Khandelwal B. Fast foods and physical inactivity are risk factors for obesity and hypertension among adolescent school children in east district of Sikkim, India. J Nat Sci Biol Med. 2015;6(2):356.PubMedPubMedCentralCrossRef
98.
go back to reference Leman MA, Claramita M, Rahayu GR. Predicting factors on modeling health behavior: a systematic review. Am J Health Behav. 2021;45(2):268–78.PubMedCrossRef Leman MA, Claramita M, Rahayu GR. Predicting factors on modeling health behavior: a systematic review. Am J Health Behav. 2021;45(2):268–78.PubMedCrossRef
Metadata
Title
Screen time increases overweight and obesity risk among adolescents: a systematic review and dose-response meta-analysis
Authors
Purya Haghjoo
Goli Siri
Ensiye Soleimani
Mahdieh Abbasalizad Farhangi
Samira Alesaeidi
Publication date
01-12-2022
Publisher
BioMed Central
Published in
BMC Primary Care / Issue 1/2022
Electronic ISSN: 2731-4553
DOI
https://doi.org/10.1186/s12875-022-01761-4

Other articles of this Issue 1/2022

BMC Primary Care 1/2022 Go to the issue