Home Media Environment Research Articles

Effectiveness of a program to lower unwanted media screens among 2-5-year-old children: a randomized controlled trial.

Limited interventions exist on reducing unwanted screen time (ST) among children from low- and middle-income countries (LMICs), so we developed and assessed the effectiveness of the program to lower unwanted media screen time (PLUMS) among children aged 2-5 years in Chandigarh, Union Territory, North India. An open-label randomized control parallel group trial per CONSORT guidelines was conducted among randomly selected 340 families with children aged 2-5 (±3 months) years in Chandigarh, India. PLUMS was implemented at the family level with a focus on modifying the home media environment and targeted individual-level interventions using parent and child modules for 2 months. A post-intervention (immediately) and a follow-up assessment after 6 months was done. During the follow-up period, the interaction was done passively via WhatsApp groups. The control group received routine healthcare services. Validated and standardized tools, including a digital screen exposure questionnaire with a physical activity component, preschool child behavior checklist, and sleep disturbance scale for children, were used to collect data at baseline, post-intervention, and follow-up periods. The primary outcome was the mean difference in ST (minutes/day) among children in the intervention group versus the control group. Generalized estimating equation (GEE) analysis was performed to adjust for clustering. An equal number of families (n = 170) were randomly assigned to the intervention and control arms. In the post-intervention assessment, 161 and 166 families continued while, at the follow-up assessment, 154 and 147 were in the intervention and control arm, respectively. The mean difference in ST on a typical day [27.7 min, 95% Confidence Interval (CI) 5.1, 50.3] at the post-intervention assessment significantly (p < 0.05) decreased in the intervention (102.6 ± 98.5 min) arm as compared with the control (130.3 ± 112.8 min) arm. A significant reduction in ST (β = -35.81 min, CI -70.6, -1.04) from baseline (β = 123.1 min) to follow-up phase (β = 116 min) was observed in GEE analysis. The duration of physical activity increased both at post-intervention (β = 48.4 min, CI = +6.6, +90.3) and follow-up (β = 73.4 min, CI = 36.2, 110.5) assessments in the intervention arm. The PLUMS intervention significantly reduced the children's mean ST on a typical day and increased the physical activity immediately post-intervention and during the 6-month follow-up period. These results might guide the policymakers to include strategies in the national child health programs in the Southeast Asia Region to reduce unwanted ST.Clinical trial registration: https://clinicaltrials.gov/, identifier CTRI/2017/09/009761.

Associations between the home environment and childhood weight change: a cross-lagged panel analysis

BackgroundThe obesogenic quality of the home environment is hypothesised to play an important role in children’s weight development but few prospective studies have investigated relationships between the home environment and adiposity across childhood.ObjectiveTo investigate the continuity and stability of the home environment from ages 4 to 12, and bi-directional relationships between the home environment and BMI-SDS from ages 4 to 12.MethodsParents from the Gemini cohort completed the Home Environment Interview (HEI), a comprehensive measure of the obesogenic home environment, when their children were aged 4 and 12 (n = 149 families, n = 298 children). The obesogenic home environment was measured using four composite scores capturing the food, activity, media environments, and the overall home environment. Child weights and heights were used to calculate BMI-SDS. Continuity was assessed with Pearson’s correlations between scores at each time point, and stability by changes in mean scores over time. Cross-lagged analyses were performed (HEI composites at age 4 to BMI-SDS at age 12 and the reverse) to measure the magnitude and direction of associations.ResultsThe home environment showed moderate-to-high continuity from ages 4 to 12 (r = 0.30–0.64). The overall home environment (r = 0.21, p < 0.01) and media composites (r = 0.23, p < 0.01) were cross-sectionally associated with child BMI-SDS at age 12, but not at age 4. Longitudinally, the home media environment at age 4 predicted increases in child BMI-SDS at age 12 (β; 95% CI = 0.18; 0.08,0.28, p < 0.01). No associations were observed for the reverse path, or the remaining composites (the overall, food and activity) in either direction.ConclusionThis study provides evidence that the obesogenic home environment tracks across childhood and highlights the importance of the early home media environment for child weight development. The findings provide insight into key aspects of the home environment that could be targeted when developing obesity treatment or prevention strategies.

A comparative study of recreational screen time in neurodevelopmental disorders

Digital screen time has been largely studied in children populations, but few have focused on children with neurodevelopmental disorders. Our main objective was to study the characteristics of use of recreational screens (television (TV) and video games), in children with neurodevelopmental disorders. We conducted a case-control study in which children with neurodevelopmental disorders under the age of 6 were compared with controls of the same age range. We analysed TV and video game exposure through a designed questionnaire for parents that included daily time exposure, sociodemographic characteristics, home media environment, sociocultural habits, attitudes and beliefs about TV. Sixty-one individuals with developmental and 153 controls were enrolled. Children with developmental problems spend more time watching TV than controls (124,4 ± 83,4 vs 71,5 ± 47,4 min / day p <0,001), while video game time was similar in both groups (37,6 ± 39, 6 vs 31,7 ± 32,6 min / day p = 0,138). Children with neurodevelopmental disorders began earlier to watch TV than controls. There were no relevant differences between groups in demographics, Sociocultural, environmental and attitudinal and belief variables. Children with neurodevelopmental disorders start watching TV at an earlier age and consume more screen time than healthy children. Our findings indicate that Children with neurodevelopmental disorders are more vulnerable to screen abuse, and stress the importance to offer anticipatory guidance to their parents.

The Home Environment Interview and associations with energy balance behaviours and body weight in school-aged children \u2013 a feasibility, reliability, and validity study

BackgroundThe home environment is thought to influence children’s weight trajectories. However, few studies utilise composite measures of the home environment to examine associations with energy balance behaviours and weight. The present study aimed to adapt and update a comprehensive measure of the obesogenic home environment previously developed for pre-schoolers, and explore associations with school-aged children’s energy balance behaviours and weight.MethodsFamilies from the Gemini cohort (n = 149) completed the Home Environment Interview (HEI) via telephone when their children were 12 years old. The HEI comprises four composite scores: one for each domain (food, activity and media) of the environment, as well as a score for the overall obesogenic home environment. The primary caregiver also reported each child’s height and weight (using standard scales and height charts), diet, physical activity and sedentary screen-based behaviours. A test-retest sample (n = 20) of caregivers completed the HEI a second time, 7–14 days after the initial interview, to establish test-retest reliability.ResultsChildren (n = 298) living in ‘higher-risk’ home environments (a 1 unit increase in the HEI obesogenic risk score) were less likely to consume fruits (OR; 95% CI = 0.40; 0.26–0.61, p < 0.001), and vegetables (0.30; 0.18–0.52, p < 0.001), and more likely to consume energy-dense snack foods (1.71; 1.08–2.69, p = 0.022), convenience foods (2.58; 1.64–4.05, p < 0.001), and fast foods (3.09; 1.90–5.04, p < 0.001). Children living in more obesogenic home environments also engaged in more screen-time (β (SE) = 4.55 (0.78), p < 0.001), spent more time playing video games (β (SE) = 1.56 (0.43), p < 0.001), and were less physically active (OR; 95% CI = 0.57; 0.40–0.80, p < 0.01). Additionally, there was a positive association between higher-risk overall home environment composite score and higher BMI-SDS (β (SE) = 0.23 (0.09), p < 0.01). This finding was mirrored for the home media composite (β (SE) = 0.12 (0.03), p < 0.001). The individual home food and activity composite scores were not associated with BMI-SDS.ConclusionFindings reveal associations between the overall obesogenic home environment and dietary intake, activity levels and screen-based sedentary behaviours, as well as BMI in 12 year olds. These findings suggest that the home environment, and in particular the home media environment, may be an important target for obesity prevention strategies.

Development and evaluation of the digital-screen exposure questionnaire (DSEQ) for young children.

Over the last three decades, the accessibility and usage of mobile devices have increased among young children. This study's objective was to develop a validated caregiver-reported digital-screen exposure questionnaire (DSEQ) for children aged 2-5 years. DSEQ was developed in five phases. Phase 1, a draft questionnaire was developed by reviewing the literature on existing tools (n = 2) from 2009-2017. Phase 2, face-to-face interviews with primary caregivers (n = 30) were conducted in a tertiary-care-hospital for acculturation. Nine experts assessed the face and content validity of the draft Hindi and English questionnaire. Phase 3, a pilot study conducted among randomly selected families (n = 40) to evaluate the feasibility of DSEQ in field settings. Phase 4, test-retest reliability was done among 30 primary caregivers selected randomly in another urban cluster. Phase 5, the internal consistency of DSEQ was checked by conducting a cross-sectional study among randomly selected 400 primary caregivers in Chandigarh, North India. IBM SPSS Statistics for Macintosh, version 25.0, was for data management and analysis. A valid DSEQ with 86 items under five domains, including sociodemographic, screen-time exposure and home media environment, level of physical activity, media-related behaviors, and parental perceptions was developed. The pilot study showed that it was feasible to use the DSEQ in the field. DSEQ was reliable with kappa value ranging from 0.52 to 1.0, and intra-class coefficient of 0.62-0.99 (p<0.05). A strong internal consistency was observed for three domains including, screen-time exposure and home media environment (Cronbach's alpha of 0.82), media-related behaviors (Cronbach's alpha of 0.74) and physical activity (Cronbach's alpha 0.73). The developed DSEQ has good face and content validity and acceptable evidence of internal consistency and test-retest reliability. The DSEQ can be used for measuring digital screen exposure and its correlates among children aged 2 to 5 years.

Maternal Education Level and Excessive Recreational Screen Time in Children: A Mediation Analysis.

There is increasing recognition of the adverse health consequences of excessive recreational screen time (RST) in children and adolescents. Early interventions that aim to reduce RST are crucial, but there are some controversies about which individual and parental variables affect RST in children. The aim of this study was to determine the relationship of parental education level with RST in children and early adolescents and to identify mediators of these relationships. This cross-sectional study examined a sample of children (2–14 year-old) who attended routine childcare visits in primary health care centers in Spain (n = 402; 53.7% males; mean age: 7 ± 4 year-old). A self-reported questionnaire was given to the parents to assess sociodemographic data, parental education, the home media environment, and RST in children. Separate analysis was performed for two age groups (2–6 year-old and 6–14 year-old). Path analysis, an application of structural equation modeling, was used to analyze the data. Fitty three percent of the children had excessive RST (≥2 h/day). The maternal education level, eating lunch/dinner in front of a TV, presence of a background TV, and the amount of parental TV viewing had significant associations with excessive RST in both age groups. For the younger group, the maternal education level had direct and indirect effects on RST (total effect: β = −0.29, p < 0.01). For the older group, maternal education level only had a significant indirect effect on RST, and this was mediated by the presence of a background TV and the time of parental TV viewing (total indirect effect: β = −0.11, p < 0.01). A higher maternal education level appears to be associated with certain environmental factors or habits that prevent excessive RST.

Promoting healthy home environments and lifestyles in families with preschool children: HomeStyles, a randomized controlled trial

The purpose of the HomeStyles randomized controlled trial was to determine the effect of participation in the HomeStyles intervention vs an attention control condition on the weight-related aspects of the home environment and lifestyle behavioral practices of families with preschool children. Parents of preschool children (n=489) were systematically randomized to experimental or attention control group after completing the baseline survey. Baseline and post surveys comprehensively assessed study outcomes using a socio-ecological approach incorporating valid, reliable intrapersonal (e.g., diet, activity), interpersonal (e.g., family meal frequency), and environmental measures (e.g., home media environment), and self-reported parent and child measured heights and weights. For all outcome measures, paired t-tests compared within group differences over time and ANCOVA, controlling for baseline scores and prognostic variables (e.g., parent sex), determined differences in post survey scores between groups. The final analytical sample (N=172; age 32.34±5.71SD; 58% White; 93% female) completed baseline and post surveys. The experimental group families had improved family meal and diet-related behaviors, and self-efficacy for food-related childhood obesity-protective practices. Household food supplies changed little, except for less availability of salty/fatty snacks. Within group effects indicated the control group also experienced some improvements, however these were few in number. ANCOVA revealed the experimental group parents had greater physical activity, reduced screentime, improved family mealtime behaviors, and increased self-efficacy for childhood obesity-protective behaviors and cognitions compared to the control group at post survey, though effect sizes were small. The HomeStyles program for families with preschool children promoted improvements in an array of obesity-preventive behaviors.

Parents’ Use of the V-Chip and Perceptions of Television Ratings: The Role of Family Characteristics and the Home Media Environment

Nearly 20 years after the Telecommunications Act of 1996, it is unclear how its mandates influence current parents’ mediation behavior. Parents of 2- to 17-year-old children (N = 1,431) were surveyed about their awareness and perceptions of the TV ratings system and use of the V-chip. Most (81%) parents knew about the ratings system and found it to be only “somewhat useful.” Only 16% of those parents had ever used the V-chip. Ratings awareness and perceptions and V-chip use varied with family characteristics. Policymakers should revisit how to provide better tools for mediating children’s viewing in this new information age.

Investigating the influence of eating habits, body weight and television programme preferences on television viewing time and domestic computer usage.

The present study explored the influence of eating habits, body weight and television programme preference on television viewing time and domestic computer usage, after adjusting for sociodemographic characteristics and home media environment indicators. In addition, potential substitution or complementarity in screen time was investigated. Individual level data were collected via questionnaires that were administered to a random sample of 2,946 Germans. The econometric analysis employed a seemingly unrelated bivariate ordered probit model to conjointly estimate television viewing time and time engaged in domestic computer usage. Television viewing and domestic computer usage represent two independent behaviours in both genders and across all age groups. Dietary habits have a significant impact on television watching with less healthy food choices associated with increasing television viewing time. Body weight is found to be positively correlated with television screen time in both men and women, and overweight individuals have a higher propensity for heavy television viewing. Similar results were obtained for age groups where an increasing body mass index (BMI) in adults over 24 years old is more likely to be positively associated with a higher duration of television watching. With respect to dietary habits of domestic computer users, participants aged over 24 years of both genders seem to adopt more healthy dietary patterns. A downward trend in the BMI of domestic computer users was observed in women and adults aged 25-60 years. On the contrary, young domestic computer users 18-24 years old have a higher body weight than non-users. Television programme preferences also affect television screen time with clear differences to be observed between genders and across different age groups. In order to reduce total screen time, health interventions should target different types of screen viewing audiences separately.

A systematic review of media parenting in the context of childhood obesity research.

BackgroundWe conducted a systematic review to obtain studies on childhood obesity and parenting published between 2009 and 2015, and draw out those studies with a particular focus on media parenting. Our analysis addresses two major aims: 1) to describe how media use and media-related parenting practices and skills are operationalized in studies and 2) to explore whether studies measured ecological factors (e.g. individual-, family-, and community-level factors), which could be associated with media parenting practices.MethodsUsing a standardized, multi-stage process, we identified and screened articles focused on parenting and childhood obesity (N = 667). Studies were eligible for this analysis if they measured media parenting and/or the home media environment, resulting in a sample of 103 studies. We used quantitative content analysis to code the full text articles for content related to our study aims; analyses were performed using SAS 9.4.ResultsSeventy nine percent of studies measured media use, 82 % measured media parenting, and 65 % measured the home media environment. Studies measuring media use focused on a limited number of devices; while all studies measured child/parent use of televisions, only 3 % measured use of smartphones, 1 % measured use of laptops, and no studies measured use of tablets. Measures of parenting practices focused largely on rules specific to limiting screen time. Although 60 % of studies measured at least one ecological factor, child-specific and neighborhood/community-level factors were rarely measured.ConclusionsMore detailed measurements of media use that reflects current technology trends and diverse contexts of use are needed to better understand media use and parent regulation of child media exposure. Measures of the ecological context can more fully assess factors impacting media parenting and, subsequently, child risk for overweight and obesity.Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-016-2981-5) contains supplementary material, which is available to authorized users.

Factors Contributing to Background Television Exposure in Low-Income Mexican-American Preschoolers.

Objective Background television (TV) exposure is harmful to young children, yet few studies have focused on predictors of exposure. This study's objectives were to elucidate demographic, environmental, and behavioral correlates of background TV exposure in low-income Mexican-American preschoolers and to explore caregiver beliefs about the impact of such exposure. Methods A convenience sample of low-income Mexican-American female primary caregivers of preschoolers (3-5years old, n=309), recruited in safety-net clinics, were surveyed by phone. Caregivers reported the frequency of their child's exposure to background TV and responded to questions on the home media environment, TV use, and whether they had thought about background TV exposure and its impact on their child. Results Background TV exposure was common; 43% reported that their child was often, very often, or always exposed to background TV. More hours of TV viewing by the caregiver and greater frequency of TV viewing during meals were associated with an increased frequency of exposure to background TV. Only 49% of participants had ever thought about the impact of background TV. Believing that background TV is not harmful was associated with higher levels of background TV exposure. Conclusions Findings suggest that background TV exposure is frequent and caregiver awareness of its potential impact is low in low-income Mexican-American families. Beliefs that background TV is not harmful may predict risk of exposure. Potential targets for interventions focused on reducing background TV exposure in this population include increasing caregiver awareness of the potential negative impact of such TV exposure.

Parent and Child Screen-Viewing Time and Home Media Environment

Screen-viewing time has been associated with adverse health outcomes. Data on the predictors of youth screen-viewing time is predominately from older children in North America. Parental and home media environment factors that are associated with screen-viewing time could be targeted in interventions. Examine if parental screen-viewing time and electronic media (access to game equipment, TVs, PCs, and laptops) environment factors were associated with Portuguese children's screen-viewing time and if associations differed by child age (<7 vs ≥7 years); gender; or type of screen viewing. Data are reported for 2965 families with children aged 3-10 years. Data were collected in 2009-2010 and analyzed in 2011. Outcomes were child spending ≥2 hours watching TV and ≥1 hour per day playing with combined other media. Exposures were mothers and fathers watching ≥2 hours of TV and electronic media variables. Parental TV-viewing time was strongly associated with child weekday and weekend TV-viewing time across all four gender and age subgroups. Maternal TV-viewing time was a stronger predictor of child TV-viewing time than paternal TV-viewing time. There was very limited evidence that parental TV-viewing time was associated with combined other media time among boys or girls. Access to electronic game equipment increased the likelihood that children spent >1 hour using combined other media on weekdays and weekend days. Parental TV-viewing time was associated with Portuguese children's TV-viewing time. The numbers of TVs in the household and electronic games equipment access were also associated with TV- and combined other media-viewing/usage time.

A Look At Mass and Computer Mediated Technologies: Understanding the Roles of Television and Computers in the Home

The multi-channel, multi-option television and the personal computer are two media technologies that have dramatically altered the home media environment. New media technologies have the capacity to create new media use patterns and blur the lines between entertainment and information. This study examines the social role of new media technologies in the home relative to: (1) social facilitation; (2) rule making (3) shifting/expanding media use; and, (4) attitudes toward media technologies.

Adolescents, VCRs, and the Family Environment

With the rapid diffusion of the VCR into the home media environment, a central question is whether the special features of the VCR lead to transformations in the family, or whether preexisting family relationships and media orientations determine the uses of the VCR and its role in the family. This study, using cross-sectional and longitudinal data from adolescents, suggests that VCRs mainly augment and extend family television patterns and that VCR use may be both a cause and a symptom of family conflicts.