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

Background: 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. Methods: 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. Results: 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 (ß = -35.81 min, CI -70.6, -1.04) from baseline (ß = 123.1 min) to follow-up phase (ß = 116 min) was observed in GEE analysis. The duration of physical activity increased both at post-intervention (ß = 48.4 min, CI = +6.6, +90.3) and follow-up (ß = 73.4 min, CI = 36.2, 110.5) assessments in the intervention arm. Conclusion: 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.

Association between COVID-19 and subsequent depression diagnoses-A retrospective cohort study.

BACKGROUND: The present study aimed to investigate the association between COVID-19 and the cumulative incidence of depression and the potential role of sick leave in a large representative sample of German adults. METHODS: This retrospective cohort study was based on the Disease Analyzer database (IQVIA) data. This study included individuals aged ≥16 years with a COVID-19 diagnosis in 1284 general practices in Germany between March 2020 and December 2021, and the propensity score matched cohort without COVID-19. Univariable Cox regression analysis assessed the association between COVID-19 and depression. RESULTS: The present study included 61,736 individuals with and 61,736 without COVID-19 (mean age 46.1 years; 49 % women). Patients visited their physicians about 4.3 times per year during the follow-up period. About 25.5 % of patients were diagnosed with COVID-19 in 2020 and 74.5 % in 2021. In this representative sample of German adults, COVID-19 infection was associated with a higher cumulative incidence of depression, and this cumulative incidence was greater in women than men. As compared with non-COVID-19, COVID-19 with ≤2 weeks sick leave duration was associated with 17 % higher depression risk (HR: 1.17; 95 % CI: 1.09-2.16), COVID-19 with >2-4 weeks sick leave duration with 37 % higher depression risk (HR: 1.37; 95 % CI: 1.11-1.69), and COVID-19 with >4 weeks sick leave duration with 2 times higher depression risk (HR: 2.00; 95 % CI: 1.45-2.76). CONCLUSION: COVID-19 sick leave was positively associated with a risk for depression, and the longer the duration of sick leave, the higher the cumulative incidence of depression.

Prevalence of Screen Time Among Children Aged 2 to 5 Years in Chandigarh, a North Indian Union Territory.

OBJECTIVE: To estimate the prevalence of screen time (ST) and its associated effects, including emotional and behavioral changes, sleep disturbances, and physical activity levels, in children aged 2 to 5 years. METHODS: We conducted a cross-sectional study among 400 randomly selected children aged 2 to 5 years in Chandigarh, North India. We used a validated, pretested, semistructured digital-screen exposure and physical activity questionnaire; an abbreviated standard Child Sleep Habit Questionnaire; and a standard Preschool Child Behavior Checklist. We considered ST as excessive if it was more than 1 hour per day as per the American Academy of Pediatrics 2016 guidelines. IBM SPSS Statistics for Macintosh, version 25.0, was used to perform linear regression model analysis and stepwise binary multivariate logistic regression. RESULTS: Approximately 59.5% of children (mean age 3.5 ± 0.9 years) had excessive ST. ST was higher on weekdays (58.5%) compared with the weekends (56.8%). Higher ST correlated positively with the mother's level of education (r = +0.219) and higher per capita family income (r = +0.227). Screen time was also positively correlated with attending daycare centers (adjusted odd's ratio [aOR] = 1.82, confidence interval [CI] = 1.18-2.81), caregivers ST of more than 2 hours (aOR = 1.68, CI = 1.12-2.56), and the absence of digital-media rules at home (aOR = 3.3, CI = 0.92-11.65). It was negatively correlated (i.e., protective) with lower mother's education (i.e., up to middle school) (aOR = 0.62, CI = 0.41-0.96) and watching educational digital-media content (aOR = 0.53, CI = 0.33-0.87). CONCLUSION: We observed a high prevalence of excessive ST among children aged 2 to 5 years. Screen time was significantly associated with being in daycare centers, higher caregivers' ST, lower mothers' educational status, and educational digital content.

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

BACKGROUND: 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. METHODS: 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. RESULTS: 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). CONCLUSIONS: 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.

A Multicomponent Intervention to Reduce Screen Time Among Children Aged 2-5 Years in Chandigarh, North India: Protocol for a Randomized Controlled Trial.

BACKGROUND: Excessive digital screen exposure (≥1 hour per day) is associated with limited growth and development in children. OBJECTIVE: This study aims to develop and assess a multicomponent intervention program's effectiveness in reducing excessive screen time among children aged 2-5 years. METHODS: A theory-based multicomponent intervention known as Program to Lower Unwanted Media Screens (PLUMS) at the household level has been developed. It is based on the social cognitive theory for children and self-determination theory for caregivers. After pretesting, a randomized control trial will be conducted to assess this intervention's effectiveness among healthy children aged 2-5 (±3 months) years and their primary caregivers who have at least one digital media gadget at home in zone three of Chandigarh (population of 2,730,035). A sample size of 428 children is estimated per arm. PLUMS includes disseminating specific information, education, communication in the form of videos and posters to the primary caregivers, and conducting motivational interviewing as and when needed. Children will be provided suggestions for playful activities as alternatives to digital media gadgets. The primary outcome is the mean change in the duration of screen time, and secondary outcomes are sleep duration and patterns, emotional-behavioral problems, and level of physical activity of the children. Per-protocol and intention-to-treat analyses will be conducted using SPSS for Macintosh, Version 25.0. RESULTS: The intervention package will be disseminated once a week for 8 weeks to the participants via the caregivers' preferred means of communication. The endline assessment will be done immediately postintervention and after the 6 months of follow-up. The Institute's ethics committee, Postgraduate Institute of Medical Education and Research, Chandigarh, India, has approved this study (INT/IEC/2019/000711). The Indian Council of Medical Research, New Delhi (3/1/3/Next-100/JRF-2015/HRD), and PGIMER, Chandigarh (71/2-Edu-16/92, Dated 08/01/2018) funded this study. CONCLUSIONS: PLUMS might be effective in reducing excessive screen time among children aged 2-5 years in a North Indian Union Territory. TRIAL REGISTRATION: Clinical Trial Registry India CTRI/2017/09/009761; https://tinyurl.com/53q6dpjs. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/24106.

Screen Time in Under-five Children.

CONTEXT: Screen-viewing in childhood is primarily a mean of entertainment, during the unstructured time. We aimed to review the burden of the problem, delineate the associated factors and correlates, evaluate the impact of screen-time on the overall health of under-five children, and the interventions to reduce screen-time. EVIDENCE ACQUISITION: Published articles from January 2009 to June 2018 were searched through PubMed, Clinical Key, Scopus, Embase, and Google Scholar using key Medical Subject Heading words. RESULTS: The burden of screen-time varied from 21% to 98% in the middle-income, and 10% to 93.7% in the high-income countries. The social ecological model was used to illustrate associated factors and correlates including child, caregiver, micro and macro digital-media environment related factors. The interventions included increase in the physical activity, reduction in the body mass index, improving sleep and dietary behaviors etc. The effectiveness of these interventions ranged from 0.3 minutes (standard error 13.3) to -47.16 minutes (standard error 2.01). CONCLUSION: Clinicians should obtain history of screen-time in children, and advise limiting the screen exposure according to the child's age. There is a need to generate evidence on burden and effectiveness of interventions among children in the Indian settings, owing to the limited data.