Socioeconomic inequality in screen time frequency in children and adolescents: the weight disorders survey of the CASPIAN IV study

Heshmat, Ramin; Qorbani, Mostafa; Mozaffarian, Nafiseh; Djalalinia, Shirin; Sheidaei, Ali; Motlagh, Mohammad Esmaeil; Safiri, Saeid; Gohari, Kimia; Ataie‐Jafari, Asal; Ardalan, Gelayol; Asayesh, Hamid; Mansourian, Marjan; Kelishadi, Roya

doi:10.1007/s12519-017-0115-5

Cited by 6 publications

(6 citation statements)

References 40 publications

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“…In a similar study conducted in 2015 by Moradi et al In Sanandaj, 50% of boys and 45% of girls had an average of more than 2 hours of Screen Time activity per day (21). In other similar studies, the reported values are lower than the present study (22)(23)(24), this can be due to the effects of time and the tendency of adolescents to use televisions, computers, and various methods of using them. In most studies comparing Screen Time activity between girls and boys, same as the results of our study, a higher proportion of this activity was reported in boys (24,25); in some of them, the differences were statistically signi cant (21,22,26).…”

Section: Resultscontrasting

confidence: 84%

“…There is no clear association between phone use and screen time with socioeconomic status. Recent studies show that screen time activities, owning mobile phone, and phone use is much more in children with lower socioeconomic status than high (SES) (8,9), but another study showed an utterly different result that owning a phone and phone use is higher in teenage children with higher socioeconomic status families (10).…”

mentioning

confidence: 99%

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Prevalence and socioeconomic inequality in screen time, phone, and tablet use in children in Iran

Moradi¹,

Piroozi²,

Ghaderi³

et al. 2020

Preprint

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Background: Nowadays, children spend a lot of time during the day in front of the television(TV) and using their phones. We aimed to evaluate screen time and phone use in Iranian children and their relation to the socioeconomic status of children's families.Methods: This descriptive analytical study was done on 10-12-year-old children from Kurdistan, Fars, and Markazi provinces. Cluster sampling was used for sampling. Date collection included completing demographic questionnaires, calculating BMI of children and phone & tablet use, screen time, and socioeconomic status. We used linear and logistics regression to estimate the final model and decomposition method of the Oaxaca. The concentration index and the concentration curve were used to measure and illustrate socioeconomic inequalities. All analysis was conducted with the Stata / SE 14.0 software.Results: 1590 children (52.58% boys) were enrolled in our study, 594 (74%) of boys and 420 (56%) of girls had daily Screen Time activities for more than two hours, and 388 (48.20%) of boys and 211 (28.20%) of girls use mobile phones and tablets for more than two hours a day. Screen Time activities were significantly higher in boys, older children, higher BMIs, more educated mothers, and 35<year-old fathers (P_VALUE <0.05). The use of mobile phones and tablets by boys, ten-year-olds, families of four or less, older BMIs, children with higher levels of parental education, and more educated mothers is significantly higher (P_VALUE <0.05). In addition, the Concentration Index for Screen Time activities (C = 0.083) and phone or tablet use (C = 0.536), shows that the Screen Time, phone or tablet use activities are higher in children with high socioeconomic status.Conclusion: The screen time activities and phone & tablet use are higher in children with high socioeconomic status. Also, many other factors like gender, age, BMI, parent's education, and age can affect screen time activities and phone & tablet use in children. It is recommended to measure the effectiveness of the changeable factors by modifying and controlling these factors in future studies.

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Section: Resultscontrasting

confidence: 84%

mentioning

confidence: 99%

Prevalence and socioeconomic inequality in screen time, phone, and tablet use in children in Iran

Moradi¹,

Piroozi²,

Ghaderi³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…However, this trend is not (yet) generalizable all over the world. For example, a recent study found that in Iran, individuals with higher SES had a significantly higher risk of prolonged ST, watching TV, and working with computers (Heshmat et al, 2018). Earlier studies show that this is similar to the behavior in western countries during the early 2000s (Vandelanotte, Sugiyama, Gardiner, & Owen, 2009).…”

Section: Discussionmentioning

confidence: 84%

“…These circumstances were summarized before in a meta-analysis by Mielke, Brown, Nunes, Silva, and Hallal (2017) which found that the direction of the association between SES and sedentary behaviors varies between high-income and low-to middle-income countries. Besides that, the majority of studies with data from the early to mid-2010s and before found that girls have a decreased risk of prolonged ST compared to boys (Heshmat et al, 2018;Sigmundová et al, 2017;Saunders & Vallance, 2017). However, this trend has to be questioned with recent data as more and more studies find similar ST among girls and boys, most likely explained by an increase in the use of social networking platforms by girls (Hinkley, Brown, Carson, & Teychenne, 2018;Simón-Montañes, Solana, García-Gonzalez, Catalán, & Sevil-Serrano, 2019).…”

Section: Discussionmentioning

confidence: 99%

Influence of socioeconomic variables on physical activity and screen time of children and adolescents during the COVID‑19 lockdown in Germany: the MoMo study

Schmidt

Burchartz

Kolb

et al. 2021

Ger J Exerc Sport Res

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The COVID‑19 (coronavirus disease 2019) pandemic created a multitude of natural experiments about the change of human behavior in a widely unfamiliar situation. Besides physical and mental health, physical activity (PA) and people’s movement behaviors were of particular interest to researchers all over the world. In a recent study, we found that among youth in Germany, sports activity declined, whereas recreational screen time and habitual activity increased during the first COVID‑19 lockdown. In the present study, we analyze the influence of the socioeconomic status and the housing situation on the changes in PA behavior and recreational screen-time before and during the first COVID‑19 lockdown among children and adolescents living in Germany. We found an alignment of PA behavior among youth from families with different socioeconomic backgrounds during the first lockdown and identified the housing situation to be a meaningful predictor of the increase in habitual activity. We conclude that restriction policies, communities, and in the last instance parents need to enable access to nonorganized PA to all children and adolescents every day and especially during potential future lockdowns.

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“…Disentangling and quantifying the relative importance of each of those characteristics on educational disparities in smoking among adolescents can provide insights to design tailored interventions aimed at reducing these disparities. The Oaxaca-Blinder decomposition method [15,16] is a statistical tool adapted for this purpose, and has commonly been used to study sources of disparities in health, including smoking behaviours [17][18][19] and adolescent health [20,21], but has not yet been applied to educational disparities in smoking among adolescents. The Oaxaca-Blinder decomposition method decomposes a given disparity between 2 groups into a portion due to a statistical variation in the covariates of interest (the explained portion) and an unexplained portion (that includes the effect of unmeasured variables) [22].…”

mentioning

confidence: 99%

Why do apprentices smoke much more than high school students? Understanding educational disparities in smoking with a Oaxaca-blinder decomposition analysis

et al. 2020

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Background: Educational disparities in daily smoking begin during adolescence and can lead to educational disparities in health among adults. In particular, vocational students including apprentices have higher daily smoking rates compared to non-vocational students. This study aimed to identify the determinants of the gap in daily smoking between French apprentices and high school students aged 17 in 2008 and in 2017. Methods: We used data from a cross-sectional repeated survey representative of all French adolescents aged 17 in 2008 and 2017. We conducted a non-linear extension of the Oaxaca-Blinder decomposition technique and included the following variables: sociodemographic and familial characteristics, parental smoking, cannabis and alcohol use, suicidal attempt, grade repetition and money received. Results: Daily smoking was about two times higher among French apprentices compared to high school students in 2008. This gap did not decrease between 2008 and 2017. Differences in measured characteristics between the two groups explained this gap partly, from 28.6 to 51.2%. Cannabis and alcohol use, money received and parental smoking contributed the most to the daily smoking gap. Conclusions: Prevention programs could target cannabis and alcohol use as well as parental smoking to help decrease educational disparities in smoking status among French adolescents.

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Socioeconomic inequality in screen time frequency in children and adolescents: the weight disorders survey of the CASPIAN IV study

Abstract: Socioeconomic inequality in ST frequency was in favor of low SES groups. These findings are useful for health policies, better programming and future complementary analyses.

Cited by 6 publications

References 40 publications

Prevalence and socioeconomic inequality in screen time, phone, and tablet use in children in Iran

Prevalence and socioeconomic inequality in screen time, phone, and tablet use in children in Iran

Influence of socioeconomic variables on physical activity and screen time of children and adolescents during the COVID‑19 lockdown in Germany: the MoMo study

Why do apprentices smoke much more than high school students? Understanding educational disparities in smoking with a Oaxaca-blinder decomposition analysis

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