Screen viewing time is the total time spent by a child on any digital/electronic device. The objective of the present study was to determine the prevalence and predictors of excessive screen viewing time in children in Ujjain, India. This cross-sectional, community-based study was conducted through a house-to-house survey using the three-stage cluster sampling method in 36 urban wards and 36 villages of Ujjain District, India. Excessive screen viewing time was defined as screen viewing for >2 h/day. The prevalence of excessive screen viewing time was 18%. Risk factors identified using the multivariate logistic regression model were age (OR: 1.63, < 0.001); mobile phone use before bedtime (OR: 3.35, = 0.004); parents' perception about the child's habituation to screen time (OR: 8.46, < 0.001); television in the bedroom (OR: 35.91, < 0.001); morning mobile screen viewing time (OR: 6.40, < 0.001); not reading books other than textbooks (OR: 6.45, < 0.001); and lack of outdoor play for >2 h (OR: 5.17, < 0.001). The presence of eye pain was a protective factor for excessive screen viewing time (OR: 0.13, = 0.012). This study identified multiple modifiable risk factors for excessive screen viewing time.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958787PMC
http://dx.doi.org/10.3390/ijerph20043449DOI Listing

Publication Analysis

Top Keywords

screen viewing
36
viewing time
32
excessive screen
24
screen
10
time
10
viewing
9
time children
8
risk factors
8
excessive
6
0001
6

Similar Publications

Huntington's disease (HD) is an autosomal dominant neurodegenerative disease with the age at which characteristic symptoms manifest strongly influenced by inherited HTT CAG length. Somatic CAG expansion occurs throughout life and understanding the impact of somatic expansion on neurodegeneration is key to developing therapeutic targets. In 57 HD gene expanded (HDGE) individuals, ~23 years before their predicted clinical motor diagnosis, no significant decline in clinical, cognitive or neuropsychiatric function was observed over 4.

View Article and Find Full Text PDF

Recent advances highlight the limitations of classification strategies in machine learning that rely on a single data source for understanding, diagnosing and predicting psychiatric syndromes. Moreover, approaches based solely on clinician labels often fail to capture the complexity and variability of these conditions. Recent research underlines the importance of considering multiple dimensions that span across different psychiatric syndromes.

View Article and Find Full Text PDF

Background: Identification of rheumatoid arthritis (RA) in primary care is challenging and often delayed. Anti-cyclic citrullinated peptide (anti-CCP) antibody testing of people presenting to primary care with new-onset musculoskeletal symptoms without synovitis could help address this; those testing positive are at increased risk of developing RA.

Aim: To explore how primary care clinicians currently identify and refer patients with suspected RA, and the behaviours required to implement a prediction model for guiding targeted anti-CCP testing for non-specific musculoskeletal symptoms in primary care.

View Article and Find Full Text PDF

Objectives: Evaluation of diagnostic accuracy of two point-of-care (POC) molecular diagnostic tests for the detection of monkeypox virus (MPXV): Xpert® Mpox (Cepheid, Inc., USA) and STANDARD™ M10 MPX/OPX (SD Biosensor, Inc., Korea).

View Article and Find Full Text PDF

When acute pain persists, it is said to become chronic after 3 months. Considerable interest has focused on why acute pain appears to transition to chronic pain in some cases, but not all, especially when it becomes disabling. We examine our current understanding of the processes involved in the progression from an acute injury to disabling chronic pain.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!