Screen time and its effect on dietary habits and lifestyle among schoolchildren

Parental norms and perceptions regarding use of mobile devices by children under five years

BACKGROUND

(1) Most parents are concerned about their children's time on mobile devices.

BACKGROUND

(2) Unrestricted access is associated with increased use of mobile devices in children.

BACKGROUND

(3) Parents are concerned about early exposure to mobile devices by children.

BACKGROUND

(4) Parental presence influences children's mobile device usage time.

BACKGROUND

(5) Need for education and collaboration.

to describe the norms and perceptions of a sample of Spanish parents and guardians on the use of mobile devices (smartphone and/or tablet) by their children and their association with such use.

a quantitative, analytical, cross-sectional, online, exploratory study was conducted with a non-probability sample of parents or guardians of children using smartphones or tablets. The virtual questionnaire consisted of 44 questions and was available at https://www.kenkolab.org/participa/ .

the total number of participants (parents or guardians) was 183 people. It was observed that 26.2% of parents admitted that their children had free and unrestricted access to smartphones or tablets. Associations were identified between time spent using mobile devices and parental attitudes, such as permission without time limitation and use as a reward or punishment. Approximately half of the respondents believe that their children use the mobile device longer than recommended.

most parents exercise some control over their children's use of devices. Acting on parental norms and perceptions is vital to success in addressing children's time spent on mobile devices. Community nursing could be a vehicle for education in healthy screen consumption habits in early childhood.

Media Usage and Adherence to the Mediterranean Diet in Children

BACKGROUND

Increased screen time in children is significantly associated with lower adherence to the Mediterranean diet (MD). The purpose of this study was to explore the association between different types of media use and the adherence to the MD in children.

METHODS

The study sample included 332 children aged 10-11 years attending the fifth year of primary school in Veneto, north-east Italy. The children's mothers were surveyed on their children's adherence to the MD, using the KidMed questionnaire, and on the time of media use, using the Media Activity Form-Parent (MAF-P). A multivariable backward stepwise linear regression was applied, adjusting the association for other potential confounding factors.

RESULTS

Children's primary digital activities were watching TV or streaming platforms (5.0 h/week) and video content (2.5 h/week), followed by digital games (2.3 h/week). Lower adherence to the Mediterranean diet was associated with digital games (regression coefficient -0.65, SE 0.29, p = 0.026) and time spent watching TV or streaming platforms (regression coefficient -0.60, SE 0.29, p = 0.04).

CONCLUSION

Interventions to promote healthier diets justify an approach that includes media education. Providing parents with recommendations on children's use of digital media devices can empower them to improve their children's well-being.

The influence of early and current feeding practices, eating behaviors, and screen time on dietary patterns in Polish toddlers - A cross-sectional study

Early nutrition has an important influence on a child's proper health and development, and understanding factors that may be related to desirable dietary patterns is key to improving the diet of future generations. The aim of this study was to assess whether early and current feeding practices, eating behaviors, and screen time viewing are associated with toddlers' dietary patterns. A cross-sectional sample of 467 mothers of toddlers (aged 1 year to 3) was surveyed between 2020 and 2022. Food consumption was evaluated by the Food Frequency Questionnaire (FFQ). The k-means algorithm was used to define dietary patterns on the basis of data collected from the FFQ and mealtime environment patterns, based on the data about practices during meals consumption. The odds of following a prohealth dietary pattern among early feeding factors were lower when infants ate commercial complementary foods more often. Distracted mealtime environment pattern increased the odds of following a non-eaters pattern, and commercial complementary foods pattern increased the odds of following a processed pattern. Currently, the odds of following a processed dietary pattern were higher when children were not breastfed and had higher screen time. Toddlers who ate during distraction and were more fussy had lower odds of following a prohealth dietary pattern, whereas higher enjoyment of food and satiety responsiveness increased the odds. The results indicate the need to increase parents' awareness about the importance of early factors in establishing dietary patterns.

Associations between sugar-sweetened beverages consumption, duration of physical exercise, and depressive symptoms among Tibetan university students at high altitude

Background

Depressive symptoms have become a public health issue of common concern in countries all over the world, and have many negative impacts on university students' study and life. Depressive symptoms are influenced by many factors, including sugar-sweetened beverages (SSBs) consumption and duration of physical activity. However, no study has been conducted on the association between sugar-sweetened beverage consumption, duration of physical exercise, and depressive symptoms among Tibetan university students at high altitudes.

Methods

In this study, a self-assessment survey of SSBs consumption, duration of physical exercise, and depressive symptoms was conducted on 6,259 (2,745 boys, 43.86%) Tibetan university students aged 19-22 years in Lhasa and Ganzi areas, China, using stratified whole population sampling. The associations were also analyzed using one-way analysis of variance, binary logistic regression analysis, and ordered logistic regression analysis in the generalised linear model.

Results

The proportions of mild depression symptoms, moderate depression symptoms, and major depressive symptoms among Tibetan boys university students in high-altitude areas of China were 18.0, 22.9, and 1.5%, respectively; the proportions of girls students were 20.1, 21.9, and 1.5%, respectively, 1.5%, and the differences in the detection rates of depressive symptoms between sex were statistically significant (χ 2 value = 14.253, p < 0.01). Ordered logistic regression analyses showed that using duration of physical exercise >60 min/d and SSBs ≤1 times/week as the reference group, the duration of physical exercise <30 min/d and SSBs ≥5 times/week groups had the highest risk of developing depressive symptoms was the highest risk (OR = 6.98, 95% CI: 5.05-9.65; p < 0.001).

Conclusion

This study confirmed that there was a positive association between SSBs consumption and depressive symptoms and a negative association between the duration of physical exercise and depressive symptoms among Tibetan university students at high altitudes in China. In the future, SSBs consumption should be effectively controlled and the duration of physical exercise should be increased to reduce the occurrence of depressive symptoms and promote the physical and mental health of Tibetan university students in high-altitude areas.

Influence of health-related behaviors patterns on obesity among primary and secondary school students: A latent profile analysis

OBJECTIVE

To analyze the co-existing patterns of health-related behaviors among children and adolescents at different education stages and the association with obesity.

DESIGN

Cross-sectional study.

SAMPLE

A total of 5651 primary and secondary school students were drawn from the National Student Physical Health Survey in 2014 with an average age of 13.53 ± 2.87 years.

MEASUREMENTS

Physical measurements and questionnaires were completed, which concluded height, weight, and health-related behaviors (sleep, physical activity, dietary, and screen behavior et al.). Latent profile analysis (LPA) was conducted using Mplus 8.3 and SPSS 26.0 was used for other statistical analysis.

RESULTS

Three latent classes of health-related behaviors were fitted for each of the education stages. After adjustment for age, gender, and region, the high-screen behavior group were 2.217 (95%CI = 1.030-4.772, p = .042) times more likely to be obesity than the health-behavior group in primary school, and the poor-diet group and poor-diet and high-screen behavior group were 2.101 (95%CI = 1.396-3.396, p < .001) and 1.788 (95%CI = 1.003-3.190, p = .049) times more likely to be overweight than the health-behavior group in junior middle school respectively.

CONCLUSION

Obesity is mainly influenced by screen behavior and dietary patterns among children and adolescents. Health-related behavior patterns should be accurately identified and comprehensive joint interventions should be carried out to prevent obesity.

Longitudinal tracking of diet quality from childhood to adolescence: The Interplay of individual and sociodemographic factors

This study aimed to examine diet tracking from childhood to adolescence, using 4 time-points, and the influence of socioeconomic and individual characteristics in this transition. The sample included 6893 children from the Portuguese birth cohort Generation XXI with complete information on Food Frequency Questionnaire in at least one of the considered follow-ups. A Healthy Eating Index (HEI), previously developed to assess adherence to WHO's dietary recommendations, was applied at all ages (4, 7, 10 and 13y). The intraclass correlation coefficient (ICC) was used to analyse the tracking of diet quality. Linear mixed-effect models were performed to estimate the association of the child's socioeconomic and individual characteristics with the HEI score and respective trajectories over time. The overall diet quality decreased from childhood (22.2 ± 3.6 at 4y) to adolescence (18.2 ± 3.9 at 13y), with moderate tracking (ICC = 0.53), showing that children who start a healthy diet earlier might have a better diet quality as time goes by. Children of older mothers (β = 0.079, 95%CI = 0.061-0.097) and with higher education (β = 0.203, 95%CI = 0.178-0.229) and a higher household monthly income (β = 0.024,95%CI = 0.007-0.041) had a higher diet quality over time. Besides family characteristics, the child's sedentary activities (β = -0.009, 95%CI = -0.014--0.003) negatively influence diet quality throughout life. In contrast, being a girl (β = -0.094, 95%CI = -0.132--0.056) and having higher sleep duration (β = 0.039, 95%CI = 0.015-0.064) are associated with a higher diet quality over time. The presence of dietary tracking from childhood to adolescence implies that promoting healthy eating habits during the first years of life is crucial for a healthier diet quality during late childhood and early adolescence, focusing on maternal and individual child characteristics.

Relationships among Sleep Time, Physical Activity Time, Screen Time, and Nutrition Literacy of Adolescents: A Cross-Sectional Study in Chongqing, China

Background: Unhealthy lifestyles among adolescents are reaching alarming levels and have become a major public health problem. This study aimed to assess the relationship between sleep time, physical activity (PA) time, screen time (ST), and nutritional literacy (NL). Methods: This cross-sectional online study involving adolescents aged 10-18 years was conducted in September 2020 in 239 schools in Chongqing, China. NL was measured using the "Nutrition Literacy Scale for middle school students in Chongqing (CM-NLS)". According to the recommended by the Chinese dietary guidelines (2022), we divided the sleep time of junior high school students into <9 h and ≥9 h, high school students into <8 h and ≥8 h, divided the workdays into weekend PA time < 1 h and ≥1 h, and divided the workdays into weekend ST < 2 h and ≥2 h. The multinomial logistic regression model was used to examine the association. Results: A total of 18,660 adolescents (50.2% males) were included. The proportion of participants that were junior high school students and attended boarding schools was 57.2% and 65.3%, respectively. Compared with senior high school students, junior high school students had a higher level of NL. Whether on workdays or weekends, participants with sleep time ≥ 8/9 h, PA time ≥ 1 h, and ST < 2 h per day had higher levels of NL. On weekdays, participants who met the sleep time ≥ 8 h/9 h (OR = 1.48, 95% CI: 1.36, 1.62) and PA time ≥ 1 h (OR = 1.69, 95% CI: 1.59, 1.81) had higher reporting of NL levels. Conclusions: Sleep time, PA time, and ST were positively correlated with NL among adolescents, especially junior high school students.

Association between sedentary behavior, diet and nutritional status in adolescents: baseline results from the LONCAAFS Study

The aim of the present study was to analyze the relationship between time spent engaged in sedentary behaviors, type of diet, and overweight in adolescents. A cross-sectional study using data from the Longitudinal Study on Sedentary Behavior, Physical Activity, Eating Habits, and Health of Adolescents - LONCAAFS Study. A total of 1,438 adolescents (10 to 14 years old) from public schools in the city of João Pessoa, Brazil, participated in the study. To evaluate the combined effects of excessive time in sedentary behavior and consumption from two food groups: Convenience and Prudent on overweight, we performed multiple logistic regression analyses, adjusted for energy, level of physical activity, sex, and age. Excessive time in sedentary behavior increased the chance of adolescents being overweight by 37% (OR = 1.37; 95%CI: 1.04-1.80). This chance increased to 43% when the adolescents were simultaneously engaged in excessive sedentary behavior and had high consumption of the Convenience food group (OR = 1.43; 95%CI: 1.05-1.94) and increased to 39% on those who engaged in excessive sedentary behavior and had low consumption of foods from the Prudent (OR = 1.39; 95%CI: 1.04-1.84). Excessive sedentary behavior is associated with being overweight and the chance increases with the consumption of convenient foods.

Problematic Social Media Use and Lifestyle Behaviors in Adolescents: Cross-Sectional Questionnaire Study

Background

The use of social media by adolescents has increased considerably in the past decade. With this increase in social media use in our daily lives, there has been a rapidly expanding awareness of the potential unhealthy lifestyle-related health effects arising from excessive, maladaptive, or addictive social media use.

Objective

This study aims to assess the association between adolescents' social media use and health-related behaviors.

Methods

We used a cross-sectional research approach and analyzed data from 96,919 adolescents at high schools throughout the Netherlands. A structured 43-item questionnaire was used to gather data on sociodemographics, dietary and lifestyle factors, and the degree of social media use based on the Compulsive Internet Use Scale. Logistic regression analyses were performed to assess the association between problematic social media use (PSMU) and lifestyle behaviors while adjusting for sociodemographic factors.

Results

Of the 96,919 included adolescents, 7.4% (n=7022) were identified as at risk for PSMU. Furthermore, logistic regression results showed that adolescents who are at risk for PSMU were more likely to report alcohol consumption and smoking while simultaneously having significantly lower levels of health-promoting behavior such as healthy eating habits (eating fruits, vegetables, and breakfast regularly) and physical activity.

Conclusions

This study confirms that adolescents at risk of PSMU were more likely to exhibit an unhealthy lifestyle. Being at risk for PSMU was a determinant of soft drug use, alcohol consumption, smoking, poor eating habits, and lower physical activity independent of the additional adjusted covariates including demographic variables and remaining lifestyle variables. Future research is needed to confirm this observation in an experimental setting.

Changes in screen time from 4 to 7 years of age, dietary patterns and obesity: Findings from the Generation XXI birth cohort

BACKGROUND AND AIMS

Increased screen exposure is associated with unhealthy eating behaviours and obesity. Screen time (ST) changes from pre-school to school age, and associations with dietary patterns (DP) and obesity remain unknown. We, therefore, analysed ST changes from 4 to 7 years of age, associated factors, and the relation with DP and obesity.

METHODS AND RESULTS

We included 4531 children evaluated at 4 and 7 years, as part of the Generation XXI birth cohort (Porto, Portugal). ST was assessed for weekdays and weekend, and average daily time was estimated. Associations between covariates and ST changes, and between ST changes and 3 DP previously identified (Energy-dense foods, Snacking, and Healthier) were estimated by odds ratios (OR) and 95% confidence interval (95%CI), using adjusted multinomial regression models. From 4 to 7 years, 31.5% of the children decreased their ST, 21.8% increased, 16.5% maintained low (≤60 min), and 30.2% maintained high (61-120 min or >120 min) ST. After adjustment, lower maternal education (OR = 2.33, 95%CI:1.82-2.99) and lower family income (OR = 1.72, 95%CI:1.35-2.21) were associated with higher odds of increasing ST, while being a girl was associated with 35% decreased odds of increasing ST. Children that increased and those that maintained high ST showed greater odds of presenting a Snacking DP at 7 years (OR = 2.34, 95%CI:1.64-3.35) and (OR = 2.65, 95%CI:1.89-3.72), respectively. No statistically significant differences were found regarding changes in ST and the child's BMI.

CONCLUSION

Children increasing screen exposure during this period were more frequently from lower socioeconomic strata and presented unhealthier DP.

Screen Time and Its Health Consequences in Children and Adolescents

Nowadays, children and adolescents are exposed to digital media (DM) from an early age. Therefore, specific guidelines have been published by the World Health Organization, whose aim is to limit daily screen time (ST) viewing. However, during the COVID-19 pandemic, a rise in DM use, and consequently ST viewing, was observed. More and more aspects of modern life are thought to be affected by excessive ST viewing. Accordingly, the aim of this review is to document the health effects of excessive ST viewing on children and adolescents. A narrative review was performed in searchable databases. In total, 43 original articles were considered. Excessive ST viewing was correlated with increased risk for obesity and other cardiometabolic risk factors, mental health, unhealthy dietary habits and eating disorders, and problems in development and child-parent relationships. Sleep, physical activity, eyesight, headaches, and the musculoskeletal system were negatively affected as well. However, the effect of ST was weighted by the type of media used and the way types of media were used. Other confounding factors were reported. There is evidence to suggest a negative correlation between excessive ST and youth health exists. Nevertheless, more research is needed if this correlation is to be established.

Three-Year School-Based Multicomponent Intervention May Change Fruit and Vegetable Preferences in Primary School Children-A Quasi-Randomized Trial

Preference could be the trigger for fruit and vegetable (FV) consumption in children and could be modified by appropriate intervention to increase the acceptance of FVs. The primary objective of this study was to investigate the effects of the three-year school-based multicomponent intervention "Nutri-školica" on the FV preferences of primary school children. It also aimed to explore whether a positive change in FV preferences could lead to an increase in actual FV consumption. The study was conducted in 14 primary schools from the city of Zagreb on 193 children (52.3% boys; age, 7.7 ± 0.4 years; n = 85 in the control group and n = 108 in the intervention group) who completed a preference questionnaire before and after the intervention with a 5-point hedonic smiley-face scale, where 5 means "I like it a lot." The per-protocol approach was used for data analysis (28.3% of children from the study sample). After the intervention, children in the intervention group (before: 3.1 ± 0.8; after: 3.5 ± 0.8) increased their FV preferences significantly more than children in the control group (before: 3.2 ± 0.8; after: 3.3 ± 0.7). Children's FV preferences changed most toward the varieties for which they had the least preferences at the beginning of the study. Participation in the intervention had a stronger effect on changing FV intake than change in FV preferences among primary school children. In summary, the present study highlighted that a targeted intervention can increase children's FV preferences, but that participation in the intervention is substantial for increasing FV intake.

The Association of Eating Behaviour with Physical Activity and Screen Time among Adolescents in the Klang Valley, Malaysia: A Cross-Sectional Study

Over the last few decades, the time adolescents spend using electronic devices has increased significantly. The aim of this study was to evaluate the impact of screen time and physical activity on eating behaviour in adolescents. This study used the Physical Activity Questionnaire for Adolescents (PAQ-A) Malay version and the Dutch Eating Behaviour Questionnaire (DEBQ) Malay version methods with secondary students around the Klang Valley. The sampling technique used was purposive sampling. With parents' consent, an online survey was conducted among adolescent school children aged between 13 and 17 years during the COVID-19 pandemic in the Klang Valley, Malaysia. There were 372 respondents participating in this study. The results showed that 99.4% of them had more than 4 h screen time a day, and that 38.5% have more than three devices at home. Moreover, there was a significant mean difference in screen time for console games without a handheld device between male and female adolescents (p < 0.05). There was also a significant mean difference in the emotional, restricted and external eating behaviour scores between male and female adolescents (p < 0.001). There was a significant relationship between physical activity and the time duration spent on a television, telephone and laptop during weekends (p < 0.05). There was a significant relationship between eating behaviour and time spent watching television and using laptops during weekends (p < 0.05). Based on the moderation model, gender as a moderator variable indicated that there was a significant relationship between screen time and interaction screen time and gender with emotional eating (p < 0.001). Female adolescents had a stronger relationship between screen time and emotional eating compared to male adolescents (p < 0.05). Meanwhile, for physical activity level as a moderator variable, the results showed that there was a significant interaction between screen time and physical activity for emotional eating behaviour (p < 0.05). In conclusion, this study indicates that screen time was higher among female adolescents and significantly related to emotional eating behaviour. Therefore, the educational sector should emphasise the motivation of adolescents to engage in physical activity, reduce their screen time and eat healthy foods such as fruits and vegetables.

Screen time among school-aged children of aged 6-14: a systematic review

BACKGROUND

Screen time refers to the time an individual spends using electronic or digital media devices such as televisions, smart phones, tablets or computers. The purpose of this study was to conduct systematic review to analyze the relevant studies on the length and use of screen time of school-aged children, in order to provide scientific basis for designing screen time interventions and perfecting the screen use guidelines for school-aged children.

METHODS

Screen time related studies were searched on PubMed, EMBASE, Clinical Trials, Controlled Trials, The WHO International Clinical Trials Registry Platform, the Cochrane Central Register of Controlled Trials, CNKI, and Whipple Journal databases from January 1, 2016 to October 31, 2021. Two researchers independently screened the literature and extracted the data, and adopted a qualitative analysis method to evaluate the research status of the length and usage of screen time of school-aged students.

RESULTS

Fifty-three articles were included. Sixteen articles studied screen time length in the form of continuous variables. Thirty-seven articles studied screen time in the form of grouped variables. The average screen time of schoolchildren aged 6 to 14 was 2.77 h per day, and 46.4% of them had an average screen time ≥ 2 h per day. A growth trend could be roughly seen by comparing studies in the same countries and regions before and after the COVID-19 outbreak. The average rates of school-aged children who had screen time within the range of ≥ 2 h per day, were 41.3% and 59.4% respectively before and after January 2020. The main types of screen time before January 2020 were watching TV (20 literatures), using computers (16 literature), using mobile phones/tablets (4 literatures). The mainly uses of screens before January 2020 were entertainment (15 literatures), learning (5 literatures) and socializing (3 literatures). The types and mainly uses of screen time after January 2020 remained the same as the results before January 2020.

CONCLUSIONS

Excessive screen time has become a common behavior among children and adolescents around the world. Intervention measures to control children's screen use should be explored in combination with different uses to reduce the proportion of non-essential uses.

The Emerging Prevalence of Obesity within Families in Europe and its Associations with Family Socio-Demographic Characteristics and Lifestyle Factors; A Cross-Sectional Analysis of Baseline Data from the Feel4Diabetes Study

The Feel4Diabetes study is a type 2 diabetes prevention program that recruited 12,193 children [age: 8.20 (±1.01) years] and their parents from six European countries. The current work used pre-intervention data collected from 9576 children-parents pairs, to develop a novel family obesity variable and to examine its associations with family sociodemographic and lifestyle characteristics. Family obesity, defined as the presence of obesity in at least two family members, had a prevalence of 6.6%. Countries under austerity measures (Greece and Spain) displayed higher prevalence (7.6%), compared to low-income (Bulgaria and Hungary: 7%) and high-income countries (Belgium and Finland: 4.5%). Family obesity odds were significantly lower when mothers (OR: 0.42 [95% CI: 0.32, 0.55]) or fathers (0.72 [95% CI: 0.57, 0.92]) had higher education, mothers were fully (0.67 [95% CI: 0.56, 0.81]) or partially employed (0.60 [95% CI: 0.45, 0.81]), families consumed breakfast more often (0.94 [95% CI: 0.91 0.96]), more portions of vegetables (0.90 [95% CI: 0.86, 0.95]), fruits (0.96 [95% CI: 0.92, 0.99]) and wholegrain cereals (0.72 [95% CI: 0.62, 0.83]), and for more physically active families (0.96 [95% CI: 0.93, 0.98]). Family obesity odds increased when mothers were older (1.50 [95% CI: 1.18, 1.91]), with the consumption of savoury snacks (1.11 [95% CI: 1.05, 1.17]), and increased screen time (1.05 [95% CI: 1.01, 1.09]). Clinicians should familiarise themselves with the risk factors for family obesity and choose interventions that target the whole family. Future research should explore the causal basis of the reported associations to facilitate devising tailored family-based interventions for obesity prevention.

Interaction effects of screen time and fast-food consumption on suicidal behaviours: Evidence from a nationwide survey among Chinese adolescents

BACKGROUND

Although screen time and fast-food consumption have been linked to suicidal behaviours, it is unclear whether their combined effects are associated with suicidal behaviours among adolescents.

METHODS

A sample of 16,853 Chinese adolescents answered a standard questionnaire on screen time, fast-food consumption, and suicidal behaviours. A binomial logistic regression model was used to analyse the association between the three. An interaction model was used to examine the interaction effects of screen time and fast-food consumption on suicidal behaviours in adolescents.

RESULTS

There were positive correlations between screen time, fast-food consumption, and suicidal behaviours, even after adjusting for confounding factors. Interaction analyses indicated that increased screen time on weekdays and fast-food consumption were associated with suicidal ideation. The relative excess risk of interaction, attributable proportions, and synergy index of interaction were 0.41, 0.15, and 1.32, respectively. Increased screen time on weekends and fast-food consumption were associated with suicidal ideation. The relative excess risk of interaction, attributable proportions, and synergy index of interaction were 0.37, 0.14, and 1.27, respectively. Similar additive interaction effects were exhibited in increased screen time and fast-food consumption on suicidal planning. Positive additive interaction effects were observed in increased screen time on weekdays and fast-food consumption on suicide attempts.

LIMITATIONS

A cross-sectional study design was used; therefore, causal associations remain unclear.

CONCLUSIONS

Screen time and fast-food consumption are cross-sectionally associated with suicidal behaviours among Chinese adolescents. Strategies should be considered to reduce screen time and fast-food consumption among adolescents.

Physical Fitness, Screen Time and Sleep Habits According to Obesity Levels in Schoolchildren: Findings from the Health Survey of the Extreme South of Chile

Obesity is a worry because it is associated with a greater burden of disease, and it has been shown to be related to the health habits and physical condition of children and adolescents.

OBJECTIVE

To associate physical fitness, screen time, and sleep habits with the different categories of obesity in schoolchildren from the extreme south of Chile.

METHODS

583 schoolchildren were included in this cross-sectional analysis. The screen time and sleep habits were measured with the Sleep Self-Report questionnaire, while the physical fitness was assessed with the Alpha Fitness test battery. The Body Mass Index/age (BMI/age) and the Waist-to-Height ratio (WtHr) were used to define adiposity using the following categories: healthy weight/low-risk waist-to-height ratio (H/LR), healthy weight/high-risk waist-to-height ratio (H/HR), overweight/low-risk waist to height ratio (O/LR), and overweight/high-risk waist to height ratio (O/HR).

RESULTS

A considerable number of schoolchildren (23.2%) presented sleep problems, while the mean screen time was 9.3 (95% CI: 8.4; 10.1) hours/day. Schoolchildren classified as H/HR showed better physical fitness than the O/HR group but worse physical fitness than the H/LR group.

CONCLUSIONS

Significant differences were evidenced in the physical fitness between the adiposity categories, which could open future lines of research concerning the characterization of the healthy weight-obese adiposity categories in children.

Increasing Fruit and Vegetable Intake of Primary School Children in a Quasi-Randomized Trial: Evaluation of the Three-Year School-Based Multicomponent Intervention

Insufficient consumption of fruit and vegetables was found in primary school children. To address this problem, a three-year school-based multicomponent intervention was conducted in 14 primary schools in the City of Zagreb. The aim of the study was therefore to evaluate one of the primary goals of the intervention—the increase in fruit and vegetable intake among primary school children. A total of 681 children were allocated to the intervention (n = 300 in the control group and n = 381 in the intervention group). The intervention included 23 interactive classroom workshops, 10 cross-curricular activities, 13 homework challenges, visual exposure with educational posters in classrooms, parent education via the website, and the implementation of new dishes into the school food system. Fruit and vegetable intake was assessed using a semi-quantitative food frequency questionnaire at baseline and after the intervention. Data were analyzed by per-protocol analysis. The study involved 259 children (50.2% girls; age 7.7 ± 0.4 years; n = 116 in the control group and n = 143 in the intervention group) who completed a food intake frequency questionnaire at both time points. Children in the intervention group showed a significant increase (p < 0.001) in total daily fruit and vegetable intake (before: 332.1 ± 164.9 g; after: 430.1 ± 186.7 g) compared to the control group (before: 350.2 ± 187.5; after: 382.6 ± 196.8) after the intervention. The increase in fruit and vegetable intake was achieved in 89% of children, while 25% more children reached the daily recommendation of 400 g. The use of the multicomponent intervention showed potential to increase fruit and vegetable intake in primary school children.

Cross-sectional associations between screen time and the selected lifestyle behaviors in adolescents

Background

In adolescents, excessive screen time leads to many adverse health outcomes and is associated with a variety of lifestyle behaviors. This study was conducted to investigate the associations between the two types of screen time and a variety of lifestyle behaviors in American adolescents.

Methods

Based on the Youth Risk Behavior Surveillance System, this cross-sectional study was conducted. With the help of data collectors, participants self-reported screening time, lifestyle behaviors, and demographic data via well-validated tools.

Results

19% and 43.4% of the participants spent more than two hours a day watching television and using the computer, respectively, while the prevalence of physical inactivity and insufficient sleep was 75.1 and 74.4% respectively. Furthermore, 11.9, 7.3, 14.3, and 21.3% of the participants reported skipping fruits, vegetables, breakfast and milk, respectively. Moreover, the prevalence of alcohol and tobacco consumption and sexual activity was 26.8, 5.3, and 23.5% respectively. More than two hours of television time was significantly associated with high risks of fewer frequency for eating fruit (OR = 1.605, 95%CI: 1.308-1.970), vegetables (OR = 1.389, 95%CI: 1.029-1.873), and smoking (OR = 1.465, 95%CI: 1.088-1.972). Computer/video time for more than two hours was significantly associated with high risks of physical inactivity (OR = 1.724, 95%CI: 1.531-1.941), insufficient sleep (OR = 1.354, 95%CI: 1.151-1.592), and not eating fruit (OR = 1.434, 95%CI: 1.179-1.745).

Conclusion

Increased screen time may be associated with specific unhealthy lifestyle behaviors in adolescents. Furthermore, the associations between different types of screen time and various lifestyle behaviors varied.

Risks of Digital Screen Time and Recommendations for Mitigating Adverse Outcomes in Children and Adolescents

BACKGROUND

The COVID-19 pandemic caused an unprecedented move to emergency remote learning around the world, leading to increased digital screen time for children and adolescents. This review highlights the potential risk of increased screen time to the eye and general health and makes recommendations to mitigate the risks posed.

METHODS

A narrative review of evidence of increased digital time during the COVID-19 pandemic, the risks linked to increased screen time and offer possible steps to mitigate these in students.

RESULTS

Digital screen time was found to have increased for children and adolescents in all the studies examined during the pandemic and data suggests that this has an impact on eye and general health. We discuss the associated risk factors and adverse outcomes associated with increased digital screen time.

CONCLUSIONS

This review offers evidence of increased digital time, highlights some of the well-known and not so well-known risks linked to increased screen time, and offers possible steps to mitigate these in children and adolescents during the pandemic, as well as offering schools and parents strategies to support the eye health of children and adolescents post-pandemic. We discuss a number of interventions to reduce the risk of eye strain, myopia, obesity, and related diseases that have been shown to be linked to increased digital screen time.

The Impact of Digital Screen Time on Dietary Habits and Physical Activity in Children and Adolescents

Background: Over the last few decades, the time children spend using electronic devices has increased significantly. The aim of the study was to evaluate the impact of screen time on dietary behaviors and physical activity in children and adolescents. Methods: An online survey was conducted among parents of preschool and school-aged children during the COVID-19 lockdown in Poland. There were 3127 surveys used in the analysis. Results: Survey responses referred to 1662 (53%) boys and 1465 (47%) girls, with a mean age of 12.1 ± 3.4 years. During a routine weekday, most children (71%) spent >4 h on educational activities using electronic devices, and 43% of children spent 1−2 h using devices for recreational purposes. The majority of children (89%) were exposed to screens during meals, and ate snacks between main meals (77%). There was an association between screen time and the exposure to screens during meals, and between screen time and time spent performing physical activity. Conclusions: This study revealed that the majority of children were exposed to screens during meals, which is a risk factor of obesity. The promotion of the judicious use of digital devices and healthy dietary habits associated with the use of screens may be an important component of obesity prevention strategies.

Characteristics of picky eater children in Turkey: a cross-sectional study

Objective

The aim of this study is to investigate the relations of picky eating habit of children with their nutrition, physical activity, screen time and sleep habits in the context of parental picky eating habit.

Methods

In a cross-sectional study a questionnare was applied to the parents of children aged 6–13 years in two provincies. The cases were analyzed as the overall group and the two subgroups in which both parents are not picky eater, and in which at least one parent was picky eater. Child's risk of being picky eater was analyzed by logistic regression.

Results

A total of 913 children and parent pairs were included in the study. The risk of picky eating of the child increases 2.85 (AOR: 1.67–4.88) times when only the mother was picky eater, 5.99 (AOR: 3.32–7.52) times when only the father was picky eater, and 22.79 (AOR: 6.95–74.71) times when both of the parents were picky eaters. In the subgroup in which at least one parent was picky eater, it was determined that children with physical activity duration of ≥ 1 h/day and sleep time of ≥ 9 h /day were less likely to be picky eater and the children with screen time of ≥ 2 h/day were more likely to be picky eaters.

Conclusion

Picky eating habit in childhood is related to the picky eating habit of the parents. In the context of this relationship, the picky eating habit of children is related to sleep, physical activity, screen time and other eating habits.

Consumption of Added Sugar among Chinese Toddlers and Its Association with Picky Eating and Daily Screen Time

Objectives: This study aimed to examine the relationship between daily screen time, picky eating, and consumption frequency of sugared foods and sugar-sweetened beverages (SSBs). Methods: The research data came from the Young Investigation (YI) study conducted in 10 cities in China. This study used sociodemographic information, feeding behavior, picky eating reported by parents, and the consumption frequency of sugared foods and SSBs of 879 toddlers aged 1−3 years. The relationship between daily screen time and picky eating behavior was assessed using logistic regression. The zero-inflated negative binomial (ZINB) model was used to fit the consumption frequencies of sugared foods and SSBs. Results: In all, 13.1% (n = 115) of toddlers did not have sugared foods 1 month before the survey, while 73.3% (n = 644) of toddlers did not have SSBs 1 month before the survey. The consumption rate of sugared foods was relatively higher than SSBs (χ2 = 661.25, p < 0.001). After adjusting for social demographic information, no relationship was found between daily screen time and picky eating (OR = 1.437; 95% CI: 0.990,2.092). The ZINB model showed that, among children who ate sugared foods, children who were picky eaters ate them more often (IRR = 1.133; 95% CI: 1.095,1.172), but no association was found between picky eating and the chance of avoiding sugared foods (OR = 0.949; 95% CI: 0.613,1.471). Children who were picky eaters were less likely not to drink SSBs (OR = 0.664; 95% CI: 0.478,0.921). However, among children who consumed SSBs, picky eaters drank them less frequently (IRR = 0.599; 95% CI: 0.552,0.650). Children with a screen time of no less than 1 h/d ate sugared foods more frequently (IRR = 1.383; 95% CI: 1.164,1.644), and they were less likely to avoid sugared foods (OR = 0.223; 95% CI: 0.085,0.587). The longer the screen time per day was, the less likely children did not have SSBs (<1 h/d: OR = 0.272; 95% CI: 0.130, 0.569; ≥1 h/d: OR = 0.136; 95% CI: 0.057, 0.328). Conclusions: The consumption rate of sugared foods was higher than that of SSBs. Picky eating and daily screen time were related to the consumption frequency of added sugar among Chinese toddlers aged 1−3 years. Picky eaters consumed sugared foods more frequently and were more likely to drink SSBs. Children whose daily screen time reached 1 h/d were more likely to eat sugared foods and drink SSBs.

Is adherence to the Mediterranean diet associated with good sleep duration in primary-school children?

OBJECTIVE

The Mediterranean diet (MD) contributes to preventing numerous chronic diseases and has benefits on cognitive development. Adherence to the MD is associated with sleep quality and duration in adults and adolescents, but this association seems to have been little investigated in primary-school children. The aim of this cross-sectional study was to verify whether good sleep duration was associated with adherence to the MD.

DESIGN

The study enrolled a sample of Italian primary school children. Their mothers were asked to answer an anonymous, self-administered questionnaire investigating the children's adherence to the MD (using the KidMed score) and variables related to their lifestyles, behavioral traits and socio-economic factors. Logistic regression models were developed to analyze the association between adherence to the MD, entered as the dependent variable, and adequacy of sleep duration.

SETTING

Primary schools in Padova, Italy.

SUBJECTS

267 Italian 6-year-olds in their first year of primary school.

RESULTS

The multivariate analysis showed an association between adherence to the MD and hours of sleep: for children with a good sleep duration, the odds ratio of a poor-to-moderate adherence to the MD was 0.282 (95% CI, 0.109-0.681, p < 0.05).

CONCLUSION

Ensuring an adequate sleep duration may be an important strategy for enhancing adherence to the MD. Sleep and dietary education should be included in future health promotion programs.