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. 2022 Jun 28;23:161. doi: 10.1186/s12875-022-01761-4

Table 3.

The characteristics of studies that evaluated the association between overweight and obesity risk by increased screen time among adolescents

Journal/ Year/ First author Country Setting/ num Design Age (y)/ gender Overweight/ obesity status and definition ST definition Adjusted variables Main findings
Revista Paulista de Pediatria/ 2021/ Dalamaria T [27] Brazil School/ 1387 Cross-sectional 14–18/ both Obesity/ ≥85th percentile of age Internet addiction None Increased odds of obesity in internet addicted adolescents [OR = 1.1; CI = 0.9–3.18]. Not adjusted
BMC Public Health/ 2020/ Zhang Y [39] China School/ 2264 Cross-sectional 12–15/ both Obesity/ ≥85th percentile of age TV, VG, PC Age, sex, being the single child, ethnic minority, fruit and vegetable intake, sleep time, parents’ Education, fathers’ occupation. Non-significant association between screen time and odds of obesity.
Nutrients/ 2020/ Lopez-Gonzalez D [28] Mexico School/309 girl; 340 boys Cross-sectional 12–17/ both Overweight/ obesity defined as ≤95th and ≥ 85th and ≥ 95th percentile of age respectively TV, electronic games Stratified by age and sex Non-significant association between obesity and screen time.
Rev Bras Cineantropometri Desempenho Hum/ 2020/ Franceschin MJ [22] Brazil School/ 1015 Cross-sectional 15.3/ both Overweight/ obesity defined as 1 ≤ BMI Z-score < 2 TV, Video game or PC Sex, age, type of school attended and dietary energy intake A significant increased odds of overweight/ obesity in those with more than 2 hours per day TV watching (1.73 (1.24–2.42). The OR for PC and video games was 1.01 (0.71–1.45).
Revista Paulista de Pediatria/ 2020/ De Lima TR [35] Brazil School/ 583 Cross-sectional 11–17/ both Overweight defined as BMI Z-score ≥ 1 TV, Video game or PC Gender, maternal schooling, alcohol consumption, smoking, screen time-sedentary behavior Non-significant reduced risk of excess weight by increased screen time of more than 4 hours/day (0.87 CI = 0.59–1.30)
Public Health Nutrition/ 2020/ Cheng L [26] China School/ 2201 Cross-sectional 10/ both Obesity/ ≥95th percentile of age TV/video games/ PC/iPad/ phone Sex, age and school location (rural or urban) with school as a random effect Increased odds of obesity for those with more than 2 hours/ d screen time (1.53; CI = 0.95–2.09)
J Immigrant Minor health/ 2019/ Zulfiqar T [33] Australia Community/ 2115 girls and 2000 boys Cross-sectional 10–11/ both Overweight/ obesity +BMI ≥ 25 kg/m2 TV, electronic games Sleep issues, breastfeeding, birth weight, siblings, foreign language spoken at home, maternal work status, family SEP, maternal partnership status TV watching of more than 3 hours/ day in weekends was associated with odds of obesity in boys (1.4 (1.0,1.9) and girls (1.5 (1.1,1.9) P < 0.05
In J Environ Res Pub Health/ 2019/ Kerkadi A [30] Qatar Community/ 1161 Cross-sectional 14–18/ both Overweight 25 ≤ BMI ≤ 30 kg/m2 and obesity BMI ≥ 30 kg/m2 TV, Video game or PC Age, nationality No significant association between screen time of more than 2 hours/ day and risk of overweight/ obesity (OR = 1; CI = 0.7–1.4)
Plos One/ 2019/ Pabon et al. [41] USA Community/ 2358 + 546 Cross-sectional 13–17/ both Overweight/ obesity defined as 1 ≤ BMI Z-score < 2 TV, Video game Age, sex, socioeconomic level, geographic area, ethnic group and exposure to television and / or video games. No significant association between increased screen time and risk of overweight or obesity.
BMC Public Health/ 2019/ Haidar A [29] USA School/ 6716 Cross-sectional 14.88/ both Overweight/ obesity defined as ≤95th and ≥ 85th and ≥ 95th percentile of age respectively TV, DVD, movies Grade, gender, ethnicity, weight, SES, parents’ education level No significant association between increased screen time and risk of overweight or obesity.
J Nepal Health Res Counc/ 2018/ Saha M [31] Bangladesh School/ 288 Cross-sectional 10–14/ both Obesity defined as ≥95th percentile of age TV, Video game, PC None No significant association between increased screen time and risk of overweight or obesity.
Tropical Doctor/ 2018/ Mansouri N [42] Pakistan School/ 887 Cross-sectional 11–15/ both Overweight defined as ≤95th and ≥ 85th percentile of age TV Age, sex, type of school, sleeping soft drink consumption Watching TV more than 2 hours/ day was associated with increased risk of overweight (6.42 (4.32–9.54) P < 0.0001)
Prev Chronic Dis/ 2018/ Hu EY [74] USA School/ 15,624 Cross-sectional 14–18/ both Obesity defined as ≥95th percentile of age TV, Video or computer game, PC use Age, sex, and race/ethnicity Increased risk of obesity for those with more than 3 hours/ day TV watching (1.38 (1.09–1.76) and more than 3 hours video game or PC use (1.19 (0.98–1.43)
BMC Res Notes/ 2018/ Godakanda I [43] USA School/ 880 Cross-sectional 14–15/ both Overweight defined as BMI Z-score ≥ 1 TV, Video/ DVD Age, sex, ethnicity, schooling years Television watching time ≥ 2 h/day (2.6 (1.7–3.8) and Video/DVD watching ≥2 h/day (3.1 (1.8–5.3) were associated with increased risk of overweight.
Egypt Ped Assoc Gazette/ 2016/ Talat MA [44] Egypt School/ 900 Cross-sectional 12–15/both Overweight/ obesity defined as ≤95th and ≥ 85th and ≥ 95th percentile of age respectively TV Age, gender, SES More than 2 hours TV watching was associated with increased risk of obesity (1.36 CI = 0.45–6.8; P = 0.048)
BMJ Open/ 2016/ Piryani S [75] Nepal School/ 360 Cross-sectional 16–19/ both Overweight defined as BMI Z-score ≥ 1 TV Age, sex, ethnicity, type of school, mother’s educational and occupation, family type, number of siblings, SES, watching TV and fruit consumption Watching TV more than 2 hours/ day was associated with increased risk of obesity (OR = 8.86 (3.90 to 20.11) < 0.001
Med J Islamic Rep Iran/ 2016/ Moradi G [45] Iran School/ 2506 Cross-sectional 10–12/ both Overweight/ obesity defined as ≤95th and ≥ 85th and ≥ 95th percentile of age respectively TV, VG Age, sex, SES Screen time was associated with increased risk of overweight and obesity (1.41 (1.17–1.69)
Indian J Comm Health/ 2015/ Watharkar A [46] India School/ 806 Cross-sectional 12–15/ both Overweight/ obesity defined as ≤95th and ≥ 85th and ≥ 95th percentile of age respectively TV, PC, cell phone None Increased risk of overweight obesity for those with more than 2 hours TV watching (OR = 3.72; CI = 2.38–5.83) or more than 2 hours computer or mobile phone use (OR = 1.68; CI = 1.09–2.57)
Revista Paulista de Pediatria/ 2015/ De Lucena JMS [47] Brazil School/ 2874 Cross-sectional 14–19/ both Overweight 25 ≤ BMI ≤ 30 kg/m2 and obesity BMI ≥ 30 kg/m2 TV, PC, VG None Excessive screen time was associated with increased risk of overweight/ obesity (1.25 (0.93–1.67)
BMC Pediatr/ 2014/ Velásquez-Rodríguez CM [48] Finland Community/ 120 Cross-sectional 10–18/ both Overweight defined as ≤95th and ≥ 85th percentile of age TV None Increased risk of overweight in excessive TV watchers among adolescents with insulin resistance (OR = 2.39; CI = 0.94–6.05) but not among healthy adolescents.
Int J Obes/ 2013/ De Jong E [40] Netherland School/ 2004 + 2068 Cross-sectional 10–13/ both Overweight 25 ≤ BMI ≤ 30 kg/m2 and obesity BMI ≥ 30 kg/m2 TV, PC Family characteristics and lifestyle nutrition behaviours No significant association between TV watching more than 1.5 hours or PC use of more than 30 minutes and overweight/ obesity.
JCRPE/ 2012/ Ercan S [49] Turkey School/ 8848 Cross- sectional 11–18/ both Overweight 25 ≤ BMI ≤ 30 kg/m2 and obesity BMI ≥ 30 kg/m2 TV, PC None Increased risk of overweight and obesity for those with more than 2 hours TV watching or PC use.
Pediatrics/ 2012/ Drake KM [50] England School/ 1718 Cross-sectional 12–18/ both Overweight/ obesity defined as ≤95th and ≥ 85th and ≥ 95th percentile of age respectively TV, DVD, video game Adolescent demographics (gender, grade in school, race [white/nonwhite]);screen time; academic performance; employment status; diet quality (fast food, fruit and vegetable consumption over the past week) Screen time of 7.1–14 and > 14 hours/week was associated with increased obesity risk of OR = 1.28 CI = 1.06, 1.55; P < 0.05 and OR = 1.37 CI = 1.09, 1.71; P < 0.01 respectively.
J Korean Med Sci/ 2012/ Byun W [53] Korea Community/ 1033 Cross-sectional 12–18/ both Overweight/ obesity defined as ≥95th percentile of age TV, PC, video game Age, sex, annual household income, and moderate-to-vigorous physical activity Increased risk of overweight and obesity was observed by increased screen time
Ital J Pediatr / 2012/ Adesina AF [51] Nigeria School/ 690 Cross-sectional 10–19/ both Overweight/ obesity defined as ≤95th and ≥ 85th and ≥ 95th percentile of age respectively TV None Increased risk of overweight and obesity was observed by increased screen time
Childhood Obesity/ 2011/ El-Gilany AH [52] Egypt School/ 953 Cross-sectional 14–19/ both Overweight defined as ≤95th and ≥ 85th percentile of age TV, PC Age, sex, socioeconomic level, geographic area, ethnicity Increased risk of overweight/ obesity for those with more than 2 hours TV watching (2.6 (1.7–3.9) or more than 2 hours computer use (1.8 (1.3–2.5)
J Epidemiol/ 2009/ Sun Y [32] Japan School/ 2842 Cross-sectional data of an original cohort 12–13/ both Overweight 25 ≤ BMI ≤ 30 kg/m2 TV, VG Age, parental overweight, and other lifestyle variables Watching TV more than 3 hours/ d was associated with increased risk of overweight in boys (OR = 1.79; CI = 1.21–2.67 and girls OR = 2.37; CI = 1.55–3.62; P < 0.001
Int J Pediatr Obes/ 2008/ Collins AE [34] Indonesia School/ 1758 Cross-sectional 12–15/ both Obesity defined as BMI ≥ 25 kg/m2 PC, PS None Increased risk of obesity in those with more than 3 hours/ d PC use (OR = 1.85; CI = 1.04–3.29) or play station use (OR = 1.94; CI = 1.23–3.05)

Abbreviations: BMI Body mass index, TV Television, ST Screen time, SBP Systolic blood pressure, DBP Diastolic blood pressure, PC Personal computer, DVD Digital video discs, VCDs Video compact disc digital, SEP Socioeconomic position, SES Socioeconomic status, ST Measurement in all of the studies was performed by questionnaire. All of the included participants were apparently healthy