Father-child attachment on children's screen time: mediating role of ego resilience.

BACKGROUND: Children spend a significant amount of time engaging in sedentary behaviors, defined as activities that do not increase energy expenditure significantly above resting levels, such as watching TV and playing PC/video games. Increased screen time is a significant public health concern because children are in a developmental stage where lifestyle behaviors predict various health outcomes in adulthood and beyond. This study explores the links between parent-child attachment, ego resilience, and children's screen time. METHODS: This cross-sectional correlation study uses 1,163 parents and their children data from the 12th Panel Survey of Korean Children. The study instruments were a modified Armsden and Greenberg scale of parent-child attachment and modified the children's ego resilience scale of the Block and Kremen. Children's screen time was classified as more than 2 h per day spent watching television, playing on computers, or playing video games in their leisure time. RESULTS: Study results show a negative association between father-child attachment and children's screen time (ß = -0.43, p < .001) and a positive association between father-child attachment and ego resilience (ß = 0.24, p < .001). Ego resilience showed a negative link to children's screen time after adjusting for parental attachment (ß =- 0.03, p = .009). Father-child attachment link to children's screen time (ß = -0.36, p < .001) continued even though the association was slightly reduced in magnitude after adjusting for ego resilience. CONCLUSIONS: Our findings show the mediating role of ego resilience on a negative path of father-child attachment to children's screen time. This finding emphasizes the importance of fostering solid father-child relationships and enhancing children's psychological resilience as critical strategies for reducing excessive screen time. By addressing emotional support and resilience-building, interventions can more effectively promote healthier behavioral outcomes in children.

Temporal asymmetries in inferring unobserved past and future events.

Unlike temporally symmetric inferences about simple sequences, inferences about our own lives are asymmetric: we are better able to infer the past than the future, since we remember our past but not our future. Here we explore whether there are asymmetries in inferences about the unobserved pasts and futures of other people's lives. In two experiments (analyses of the replication experiment were pre-registered), our participants view segments of two character-driven television dramas and write out what they think happens just before or after each just-watched segment. Participants are better at inferring unseen past (versus future) events. This asymmetry is driven by participants' reliance on characters' conversational references in the narrative, which tend to favor the past. This tendency is also replicated in a large-scale analysis of conversational references in natural conversations. Our work reveals a temporal asymmetry in how observations of other people's behaviors can inform inferences about the past and future.

Influence of eating while watching TV on food preference and overweight/obesity among adolescents in China: a longitudinal study.

Background: Eating while watching TV was found associated with unhealthy food preferences and obesity in adolescents in foreign studies, which is not clear in China. The study aims to explore the influence of eating while watching TV on food preferences and overweight/obesity in Chinese adolescents. Methods: Data from 1768 adolescents (aged 12-17 years) in the 2006, 2009, 2011, and 2015 China Health and Nutrition Survey (CHNS) was analyzed. The height and weight were measured. Mixed effect models were used to identify the associations between eating while watching TV and adolescents' food preferences and overweight/obesity. Results: Adolescents eating while watching TV ≥1 time/week were more likely to prefer fast food, salty snacks and soft drinks than those eating while watching TV <1 time/week. Adolescents eating meals while watching TV ≥1 time/week were less likely to prefer vegetables than those eating meals while watching TV <1 time/week. In addition, adolescents eating snacks while watching TV ≥1 time/week were more likely to be overweight/obesity than those eating meals while watching TV <1 time/week (odds ratio [OR] = 7.16; 95% confidence interval [CI] 1.39-36.93). Conclusion: Eating snacks while watching TV was positively associated with adolescents' unhealthy food preferences and overweight/obesity. Eating meals while watching TV was associated with adolescents' unhealthy food preferences. Implementing web-based Community-based participatory research (CBPR) about reducing eating while watching TV may be a practical strategy to develop healthy food preferences and prevent overweight/obesity in Chinese adolescents.

Causal Relationship between Television Viewing Time, Cardiovascular Diseases, and Potential Mechanisms. / Relação Causal entre Tempo de Exibição de Televisão, Doenças Cardiovasculares e Mecanismos Potenciais.

BACKGROUND: As the predominant leisure-time sedentary behavior, television viewing was documented to increase cardiovascular diseases in observational studies, yet the causal relationship and potential mechanisms remain to be determined. OBJECTIVES: To systematically investigate the causal relationship between television viewing time, cardiovascular diseases, and potential mechanisms. METHODS: We conducted a two-sample Mendelian randomization (MR) analysis to estimate causal associations with cardiovascular diseases and biomarkers of cardiometabolic risk. The random inverse-variance weighted method was used as the primary estimate. To account for multiple comparisons, a Bonferroni correction p value for cardiovascular diseases and biomarkers of cardiometabolic risk was 0.0045 and 0.0024, respectively. RESULTS: Genetically instrumented television viewing time was associated with higher risks of type 2 diabetes (odd ratio [OR]=2.51; 95% confidence interval [CI]: 1.89-3.33; p<0.00001), hypertension (OR=2.11; 95% CI: 1.67-2.66; p<0.00001), coronary heart disease (OR=1.53; 95% CI: 1.23-1.91; p=0.00015), and heart failure (OR=1.42; 95% CI: 1.18-1.70; p=0.00017). Suggestive evidence of harmful associations was also observed for peripheral artery disease (OR=1.58; 95% CI: 1.07-2.34; p=0.02253) and ischemic stroke (OR=1.34; 95% CI: 1.10-1.63; p=0.00328). Biomarkers of cardiometabolic risk, including interleukin 10, leptin, visceral adipose, abdominal subcutaneous adipose, liver fat, body mass index, waist circumference, triglycerides, and C-reactive protein, were increased. Systolic blood pressure, heart rate, low-density lipoprotein, and total cholesterol were potentially increased while high-density lipoprotein was decreased. However, television viewing time had no effect on venous thromboembolism or pulmonary embolism. CONCLUSION: Television viewing time was causally associated with increased risks of cardiovascular diseases, which may be explained by metabolic and inflammatory mechanisms. BACKGROUND: An overview of the effect of television viewing time on cardiovascular diseases and biomarkers of cardiometabolic risk.

Influence of maternal and infant technology use and other family factors on infant development.

BACKGROUND: Digital technology is ubiquitous in the lives of many children and parents. To better understand any influence of technology use by infants, and mothers, on child development, technology use should be considered within the broader family system context in which children develop. This study aimed to investigate associations between infant and maternal technology use and infant 12-month development, taking into consideration other family factors. METHODS: This cross-sectional study used data from ORIGINS participants, collected at 12-months of age: maternal and child technology use (TechU-Q), sociodemographic factors (e.g. child sex, household income), parental mental health (DASS-21), and child development (Ages and Stages Questionnaire). Linear regression was used for analyses. RESULTS: When family factors were considered, higher infant mobile touchscreen device (MTSD) use was associated with poorer infant development for gross motor, problem-solving, and total ASQ-3 scores. In contrast there were no associations between infant television (TV) watching or maternal technology use and total ASQ-3 scores. Higher maternal technology use was associated with higher infant technology use. Poorer maternal and paternal mental health were associated with poorer infant development. Poorer maternal mental health was also associated with higher infant TV watching and higher maternal MTSD use. CONCLUSION: There is a complex relationship between technology use, parental mental health and other family factors that together influence infant development. To improve infant development outcomes, less focus should be on infant or maternal technology use, and more on supporting the family as a whole, and parental mental health in particular.

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.

Leisure Screen Time and Food Consumption among Brazilian Adults.

BACKGROUND: Screen time, involving activities like watching television (TV), and using tablets, mobile phones, and computers (electronic devices), is associated with the consumption of unhealthy foods. This study aimed to analyze the association between prolonged leisure screen time and healthy and unhealthy food consumption indicators among Brazilian adults (≥18 years). METHODS: Data from the National Health Survey (NHS), conducted in 2019 (n = 88,531), were used. Prolonged leisure screen time (screen time ≥ 3 h/day) was analyzed in three dimensions: watching TV; use of electronic devices; and total screen time (TV and electronic devices). Food consumption was analyzed in two dimensions: healthy (in natura and minimally processed foods) and unhealthy (ultra-processed foods). Poisson regression models were used to calculate prevalence ratios (crude and adjusted (PRa)) by sociodemographic factors (sex, age, schooling, income, area of residence, and race/color) and health factors (weight status, self-rated health, and presence of noncommunicable disease), to assess the association between prolonged screen time and food consumption indicators. RESULTS: Among Brazilian adults, the prevalence of prolonged screen time was 21.8% for TV and 22.2% for other electronic devices for leisure. The highest frequency of watching TV for a prolonged time was observed among women, older adults, and those with a lower income and schooling. Prolonged use of electronic devices was more common among young adults and those with intermediate schooling and income. Prolonged screen time was associated with an unhealthy diet, due both to the higher consumption of unhealthy foods (PRa = 1.35 for TV, PRa = 1.21 for electronic devices, and PRa = 1.32 for both types) and the lower consumption of healthy foods (PRa = 0.88 for TV, PRa = 0.86 for electronic devices, and PRa = 0.86 for both). CONCLUSIONS: Prolonged screen time was negatively associated with the consumption of healthy foods and favored the consumption of unhealthy foods among Brazilian adults.

Recreational screen time and obesity risk in Korean children: a 3-year prospective cohort study.

BACKGROUND: Studies have shown that prolonged television watching increases obesity risk among children. However, few studies examined the associations with other types of screen time, such as computer and smartphone use, using a prospective cohort study design. Further, little is known about the specific non-screen time activity that may yield the most benefits when reallocating screen time to other activities. METHODS: We conducted a prospective cohort analysis using 3-year follow-up data from the Korean Children and Youth Panel Survey 2018 (n = 2,023; 4th grade elementary students who were not obese at baseline). Average time spent watching television, using computer and smartphone, and other after-school activities were self-reported at baseline. Weight and height were also self-reported at baseline and follow-up surveys through 2021. We performed multivariable logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between screen time and obesity incidence, adjusting for potential confounders. We also performed isotemporal substitution models to examine the associations of reallocating screen time to other non-screen time activities (physical activity, sleeping, hanging out with friends, reading, studying, and chatting with parents) in an equal time-exchange manner. RESULTS: Longer combined screen time (≥ 240 vs. <120 m/d) was statistically significantly associated with an increased obesity risk (OR [95% CI] = 1.68 [1.03, 2.73]). The direction of associations with television watching (≥ 180 vs. <60 m/d: OR [95% CI] = 2.86 [1.58, 5.20]), computer use (≥ 120 vs. <60 m/d: 1.38 [0.52, 3.64]), and smartphone use (≥ 180 vs. <60 m/d: 1.42 [0.76, 2.65]) were all positive, although the association was most apparent and statistically significant for television watching only. The associations did not change after additional adjustment for other lifestyle factors, including physical activity, sleep, and breakfast skipping. In the isotemporal substitution models, reallocating 1-hour of screen time to reading (OR [95% CI] = 0.67 [0.48, 0.93]) was associated with a decreased obesity risk. Reallocating 1-hour of screen time to physical activity was only marginally significantly associated with obesity risk (0.79 [0.62, 1.01]). CONCLUSIONS: Our data suggest that more efforts should focus on reducing screen time and increasing time for other non-screen time activities, particularly reading, for obesity prevention in children.

[Prolonged television exposure in children and adolescents: health effects and protection strategies]. / Exposición prolongada a la televisión en niños y adolescentes: efectos sobre la salud y estrategias de protección.

OBJECTIVE: Since COVID-19 pandemic, screen time (ST) seems to have increased among children and young people. There is controversy about its impact in the physical and mental well-being of children. The aim of this study was to analyse the possible influence of excessive ST on child health through a systematic review of the literature. METHODS: Systematic review was done by two independent reviewers. We analysed the medical literature (MEDLINE data base) from 2017 to 2022. Data related to the effects of ST on children´s health were analysed along with strategies that can mitigate those effects. RESULTS: The search identified 3,151 articles, 37 finally selected as they fulfilled the demanded methodological quality criteria. Negative effects on children's health such as obesity, linked to a sedentary lifestyle, sleep disorders or anxiety problems in adolescents were detected. However, a better development of language or memory functioning, when interactive media were used, have also been described. Educational measures have proven useful in controlling exposure time and reducing exposure-related negative effects. CONCLUSIONS: Although high levels of ST could affect children`s health, we have recorded some positive effects that are enhanced when parents get involved in TV watching (co-viewing). Exposure time should be customized according to every child's lifestyle.

OBJETIVO: Desde la pandemia de la COVID-19, el tiempo frente a la pantalla (TP) parece haber aumentado entre niños y jóvenes. Existe controversia sobre su impacto en el bienestar físico y mental de los niños. Este estudio tuvo el objetivo de analizar la posible influencia de un excesivo TP en la salud infantil mediante una revisión sistemática de la literatura. METODOS: Dos revisores independientes realizaron una revisión sistemática. Se analizó la literatura médica (base de datos MEDLINE) desde 2017 hasta 2022. Se analizaron los datos relacionados con los efectos del tiempo frente a la pantalla en la salud infantil junto con las estrategias que pueden mitigar dichos efectos. RESULTADOS: La búsqueda identificó 3.151 artículos, siendo 37 finalmente seleccionados por cumplir los criterios de calidad metodológica exigidos. Se detectaron efectos negativos sobre la salud infantil como la obesidad, ligada a un estilo de vida sedentario, trastornos del sueño o problemas de ansiedad en adolescentes. Sin embargo, también se ha descrito un mejor desarrollo del lenguaje o del funcionamiento de la memoria, cuando se utilizaban medios interactivos. Las medidas educativas han demostrado ser útiles para controlar el tiempo de exposición y reducir los efectos negativos relacionados con la exposición. CONCLUSIONES: Aunque unos niveles elevados de tiempo frente a la pantalla podrían afectar a la salud de los niños, se han registrado algunos efectos positivos que se potencian cuando los padres se implican en el visionado de la televisión (coviewing). El tiempo de exposición se debe personalizar según el estilo de vida de cada niño.

Association of electronic screen exposure with depression among women in early pregnancy: a cross-sectional study.

BACKGROUND: Previous studies indicated that excessive engagement in digital devices could lead to negative psychological impacts in general population. We aimed to determine the association of electronic screen exposure with depression among women in early pregnancy. METHODS: A cross-sectional study was conducted from June 2021 to June 2022. A total of 665 women in early pregnancy were recruited and the information included socio-demographic characteristics, screen exposure and Patient Health Questionnaire - 9 depression scale. RESULTS: Among the women in early pregnancy, the total daily smartphone viewing time was the longest (median [P25-P75], 5 [3-6] hours/day) in the three types of electronic screen exposure. The total daily smartphone viewing time (P = 0.015, OR[95%CI] = 1.09[1.11-1.18]), smartphone (P = 0.016, OR[95%CI] = 1.24[1.04-1.47]) and television viewing time (P = 0.006, OR[95%CI] = 1.35[1.09-1.67]) before nocturnal sleep were significantly associated with depression among women in early pregnancy. The thresholds calculated by receiver operator characteristic curves were 7.5 h/day, 1.5 h/day and 1.5 h/day, respectively. In addition, women with higher scores of smartphone addiction were more susceptible to depression (P<0.001, OR[95%CI] = 1.11[1.07-1.16]). The top three smartphone usages in women with depression were watching videos (22.0%), listening to music (20.9%) and playing games (16.7%). CONCLUSIONS: In conclusion, electronic screen exposure, including screen viewing time, smartphone addiction and problematic smartphone use was associated with depression among women in early pregnancy. Further studies are warranted to verify the conclusions.

Factors Associated With Screen Time Among Preschool Children in Lima, Peru.

OBJECTIVE: This study aims to identify factors associated with excessive screen time among preschoolers in Lima, Peru. METHODS: Cross-sectional analysis from a 2019 panel study in Lima, Peru, was conducted focusing on women, aged 18 and above, who are mothers of 3- to 5-year-olds in mid-high and mid-low districts. There were two outcome variables: excessive TV and excessive electronic devices screen time, defined as ≥ 1 h of screen exposure for each one. Explored factors included the mother's age, education and wealth index and the children's age, sex, physical activity, day care attendance and ultra-processed food consumption. Crude (cPR) and adjusted prevalence ratios (aPR) were estimated for the association between associated factors and excessive screen time using the GLM Poisson of with a logarithmic link. RESULTS: Excessive TV screen time and electronic devices prevalence was 74% and 36.9%, respectively. For TV screen time, a high wealth index (aPR 1.13; 95%CI: 1.03-1.23) and children's age (aPR 1.18; 95%CI: 1.08-1.29 for 4 years, PR = 1.17; 95%CI: 1.07-1.28 for 5 years) were significant. For electronic devices, significant associations included mothers with more than 3 children (aPR 0.77; 95%CI: 0.62-0.96), being single (aPR 1.27; 95%CI: 1.01-1.58) and a high wealth index (aPR 1.38; 95%CI: 1.13-1.68). Furthermore, significant associations were found between excessive electronic device screen time and consumption of candies and chocolates (aPR 1.38; 95%CI: 1.08-1.77). CONCLUSIONS: Seven out of 10 preschool children exceeded the recommended television screen time. Certain characteristics of the children, their mothers and the family's socio-economic situation are related to excessive television screen time and excessive electronic device screen time.

Sedentary and 21 gastrointestinal disorders: A Mendelian randomization study.

Sedentary behavior (SB) has been linked in the past by observational studies to gastrointestinal illnesses, although the exact cause of the link is still unknown. To deal with this problem, we carried out a Mendelian randomization (MR) study to thoroughly examine the connection between SB and common gastrointestinal illnesses. We selected instrumental variables representing the SB from the UK Biobank study, including watching television viewing, playing computer, and driving. In addition, we obtained genetic associations of 21 common gastrointestinal disorders from the FinnGen research. After adjusting for common risk factors associated with gastrointestinal diseases, we analyzed the independent association between genetic. Furthermore, we used the inverse-variance weighted (IVW) method in conjunction with complementing techniques like MR-Egger (Mendelian randomization based on Egger Regression) and weighted median to assure the accuracy and dependability of the results. Our findings suggest that genetic susceptibility to prolonged television viewing is significantly associated with an increased risk of 9 out of 21 gastrointestinal disorders. Specifically, these disorders include gastroesophageal reflux disease, chronic gastritis, cholelithiasis, acute pancreatitis, chronic pancreatitis, gastroduodenal ulcer, fatty liver, irritable bowel syndrome, and acute appendicitis. These associations remained significant even after correcting for potential confounding factors. The replication analysis confirms the same conclusion. The results of this study demonstrate a causal relationship between cachexia and genetically predicted SB. To further understand the underlying pathogenic mechanisms at play, more study is required.

Assessment of screen time and its correlates among adolescents in selected rural areas of Puducherry.

OBJECTIVES: To assess screen time and its correlates among adolescents in selected rural areas of Puducherry. METHODS: This cross-sectional analytical study was conducted among adolescents aged 10-19 years visiting the Pediatrics and other departments at Sri Lakshmi Narayana Institute of Medical Sciences (SLIMS), Puducherry. The sample size of 164 was determined based on previous studies, with a systematic random sampling technique used for participant selection. Data collection involved a semi-structured questionnaire covering sociodemographic factors, screen time, sleep, dietary, and physical activity patterns. Increased screen time was defined as more than 2 h per day, and adequate physical activity was considered as at least 60 min of moderate-to-vigorous intensity exercises. Statistical analysis was performed using Stata version 17, with associations tested using Chi-square analysis and a significance level set at p<0.05. RESULTS: The mean age of the participants was 18.2 (0.9) years, with 86 % in the 16-19 years age group. Males comprised 53.7 %, and 66.5 % were from rural areas. The mean screen time was 4.4 (1.5) hours per day, with 79.1 % exceeding the recommended limit. Mobile phones were the most frequently used devices (92.7 %), primarily for watching movies (51.8 %) and videos (23.8 %). Increased screen time was significantly associated with younger age (10-15 years), urban residence, and school-going status. Adolescents with increased screen time exhibited lower physical activity and inadequate sleep. Additionally, increased consumption of packaged foods was observed among those with higher screen time. CONCLUSIONS: More than three-fourths of the adolescents exceeded the recommended screen time, negatively impacting their physical activity and sleep. These findings underscore the need for targeted interventions to promote healthier lifestyle choices among adolescents in rural Puducherry.

Are the Relationships of Physical Activity and Television Viewing Time With Mortality Robust to Confounding? A Study, Utilizing E-Values, From the Melbourne Collaborative Cohort Study.

BACKGROUND: Physical activity and sedentary behavior are associated with health outcomes. However, evidence may be affected by confounding bias. This study aimed to examine the relationships of physical activity and television (TV) viewing time with all-cause, cardiovascular, and cancer mortality in a cohort of Australian adults, and determine the robustness of these relationships to residual and unmeasured confounding. METHODS: Data from 27,317 Melbourne Collaborative Cohort Study participants (mean age = 66) were used. Physical activity was assessed using the International Physical Activity Questionnaire-Short Form and categorized as insufficient, sufficient, or more than sufficient. TV viewing time was categorized as low, moderate, or high. Multivariable Cox regression models were used to evaluate associations of interest. E-values were calculated to assess the strength of unmeasured confounders required to negate the observed results. RESULTS: For highest versus lowest physical activity category, the hazard ratio was 0.67 (95% confidence interval, 0.56-0.81) for all-cause mortality; E-values ranged between 1.79 and 2.44. Results were similar for cardiovascular mortality; however, hazard ratios were lower (0.72; 95% confidence interval, 0.51-1.01) and E-values much smaller (1.00-2.12) for cancer mortality. For highest versus lowest TV viewing time category, the hazard ratio was 1.08 (1.01-1.15) for all-cause mortality; E-values ranged between 1.00 and 1.37. Results were similar for cardiovascular and cancer mortality. CONCLUSIONS: Physical activity and TV viewing time were associated with mortality. The robustness to unmeasured/residual confounding was moderate for physical activity (all-cause and cardiovascular mortality), but weaker for physical activity (cancer mortality) and TV viewing time in this study of Australian adults.

Longitudinal Use Patterns of Technology Subtypes During the Transition Into Early Adolescence: Results From the Adolescent Brain Cognitive Development Study.

PURPOSE: Adolescents encounter a complex digital environment, yet existing data on youth technology use rarely differentiates technology subtypes. This study maps the evolution and intricacies of youth engagement with technology subtypes. METHODS: N = 11,868 participants in the Adolescent Brain Cognitive Development study followed from ages ∼9/10 to ∼13/14. We examined youths' self-reported hours per day (hr/day) of technology subtypes: TV/Movies, video games, YouTube, social media, video chat, and texting. We used descriptive statistics and multilevel logistic regression to assess cross-sectional and longitudinal use patterns of technology subtypes, agreement between child and parent reports on the child's technology use, and associations between each technology subtype and sociodemographics (child's biological sex, parent education, income, and marital status). RESULTS: At age 9/10, ∼75% of youth reported minimal (<30 min/day) social technology use (social media, video chat, texting) and up to ∼1.5 hr/day of TV, video games, and YouTube. By age 13/14, TV trajectories were converging to >2 hr/day, but social technology trajectories "fanned out" into a wide range of usage rates. Child and parent reports were weakly correlated (rs range: 0.13-0.29). Using child-reported hours of technology use, increases in the subject-specific odds of using a technology >2 hr/day ranged from 25% (YouTube; 95% CI: 1.16-1.35) to 234% (social media; 95% CI: 3.14-3.55). Compared with males, females had ∼100-200% greater odds of >2 hr/day of social technologies, but ∼40-80% reduced odds of >2 hr/day of video games and YouTube. Higher parent education and income predicted significantly lower odds of >2 hr/day of use - regardless of technology subtype. DISCUSSION: Distributions of youths' self-reported technology engagement are highly contingent on technology subtype, age, and biological sex. Future research on youth development and technology may benefit from considering youths' varied digital experiences.

Early Childhood Screen Use Contexts and Cognitive and Psychosocial Outcomes: A Systematic Review and Meta-analysis.

Importance: The multifaceted nature of screen use has been largely overlooked in favor of a simplistic unidimensional measure of overall screen time when evaluating the benefits and risks of screen use to early childhood development. Objective: To conduct a systematic review and meta-analysis to examine associations of screen use contexts in early childhood with cognitive and psychosocial outcomes. Data Sources: PsycINFO, Embase, MEDLINE Ovid, ProQuest, CINAHL, Web of Science, and Scopus were searched from inception to December 31, 2023. Study Selection: A total of 7441 studies were initially identified. Studies were included if they examined associations between a contextual factor of screen use among children aged 0 to 5.99 years and cognitive or psychosocial development. Observational, experimental, and randomized clinical trial study designs were included. Data Extraction and Synthesis: All studies were independently screened in duplicate following PRISMA guidelines. Effect sizes of associations (r) from observational studies were pooled using random-effects 3-level meta-analyses. The remaining study designs were narratively synthesized. Main Outcomes and Measures: Screen use contexts included content (child directed and age inappropriate), type (program viewing and game or app use), co-use (or solo use), background television, caregiver screen use during child routines, and purpose. Outcomes were cognitive (executive functioning, language, and academic skills) or psychosocial (internalizing and externalizing behavior problems and socioemotional competence). Results: Overall, 100 studies (176 742 participants) were included, and of these, 64 observational studies (pooled sample sizes ranging from 711 to 69 232) were included in meta-analyses. Program viewing (n = 14; k = 48; r, -0.16; 95% CI, -0.24 to -0.08) and background television (n = 8; k = 18; r, -0.10; 95% CI, -0.18 to -0.02) were negatively associated with cognitive outcomes, while program viewing (n = 6; k = 31; r, -0.04; 95% CI, -0.07 to -0.01), age-inappropriate content (n = 9; k = 36; r, -0.11; 95% CI, -0.17 to -0.04), and caregiver screen use during routines (n = 6; k = 14; r, -0.11; 95% CI, -0.20 to -0.03) were negatively associated with psychosocial outcomes. Co-use was positively associated with cognitive outcomes (n = 8; k = 28; r, 0.14; 95% CI, 0.03 to 0.25). Conclusions and Relevance: Findings show small to moderate effect sizes that highlight the need to consider screen use contexts when making recommendations for families, clinicians, and educators beyond screen time limits; including encouraging intentional and productive screen use, age-appropriate content, and co-use with caregivers.

2' Life-changing minutes: impact evaluation of a novel health promotion format on cancer prevention.

Cancer is one of the most important societal challenges in the world, with over 23 million new cases/year and 10 million deaths/year, that will only be properly tackled with a stronger focus on prevention. This calls for an informed population, aware of risk factors and willing to adopt preventive behaviors and early cancer screenings. For that purpose, 2' Life-changing minutes was created, the first ever televised Entertainment-Education series on cancer prevention. This study aims to evaluate the impact of 2' Life-changing minutes, a novel E-E format for cancer prevention, on knowledge gains and behavior changes. Two complementary studies were performed involving a total of 1314 participants: a test-screening (TS) study targeting potential viewers of the series, and a natural-screening (NS) study targeting those that spontaneously watched the series on television. We found (i) very high levels of appreciation and narrative engagement, and also willingness to see more episodes; (ii) statistically significant knowledge gains, ranging from 17% to 44%, on all four topics tested; (iii) evidence of effective behavior change. Regression analysis showed that narrative engagement was the best predictor of behavior change [NS: odds ratio (OR) = 3.38, 95% confidence interval (CI) = 1.70-6.74, p = 0.001; TS: OR = 2.05, 95% CI = 1.13-0.371, p = 0.018]. This study demonstrates the series' real impact and serves as a proof-of-concept for a novel strategy of cancer prevention that is based around compelling health narratives, rather than information or data, to engage viewers, increase knowledge and induce behavior change.