Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText.
Kick-your-searchterm to multiple Engines kick-your-query now !>
A dictionary by aggregated review articles of nephrology, medicine and the life sciences
Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

suck abstract from ncbi


10.1136/bmjopen-2025-109376

http://scihub22266oqcxt.onion/10.1136/bmjopen-2025-109376
suck pdf from google scholar
41344702!?!41344702

Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=41344702&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215

suck abstract from ncbi

pmid41344702      BMJ+Open 2025 ; 15 (12): e109376
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Screen time and sleep problems in South Indian preschoolers: a community-based cross-sectional study #MMPMID41344702
  • Govindarajan Venguidesvarane A; Varadarajan S; Rajamohan M; Krupa M; Ramaswamy KN
  • BMJ Open 2025[Dec]; 15 (12): e109376 PMID41344702show ga
  • OBJECTIVES: To estimate the prevalence of sleep problems among children aged 2-5 years residing in South India, assess its association with screen time and identify a predictive screen time threshold. DESIGN: Population-based cross-sectional study. SETTING: Field practice areas in rural and urban centres of a medical college in South India. PARTICIPANTS: In total, 523 children aged 2-5 years were selected by simple random sampling. PRIMARY OUTCOME MEASURES: Sleep problems were assessed using the validated bedtime problems, excessive daytime sleepiness, awakenings during the night, regularity of sleep and snoring sleep screening tool. Sociodemographic and behavioural factors, including screen time, were also examined. The optimal predictive screen time cut-off was identified using receiver operating characteristic (ROC) analysis. RESULTS: Sleep disturbances were reported in 39.6% of children (95% CI 35.5% to 43.8%). The most common sleep problems were irregular sleep (22.2%), bedtime resistance (20.8%) and night awakening (19.9%). Multivariate logistic regression showed strong associations between sleep problems and screen use in bed (adjusted OR (AOR) = 3.8; 95% CI 2.4 to 6.1), excess screen time (AOR=3.3; 95% CI 1.8 to 6), smaller family size (AOR=3.1; 95% CI 1.5 to 6.1), reduced physical activity (AOR=2.6; 95% CI 1.6 to 4.2), shorter birth spacing (AOR=1.8; 95% CI 1.1 to 2.8), lower socioeconomic status (AOR=1.8; 95% CI 1.2 to 2.8) and maternal screen time>2 hours/day (AOR=1.6; 95% CI 1.04 to 2.6). ROC analysis identified >/=2.4 hours per day of screen time as the optimal threshold for predicting sleep problems (area under the curve=0.800; sensitivity, 73.9% and specificity, 77.2%). CONCLUSION: In this large population-based study, two of the five preschool children experienced sleep problems, with excess screen time, particularly screen use in bed, being the key contributing factor. This is one of the few Indian studies to establish an ROC-derived screen time threshold for identifying sleep problems. These findings can guide targeted parental advice and early preventive strategies to promote healthy sleep in preschool children.
  • |*Screen Time[MESH]
  • |*Sleep Wake Disorders/epidemiology[MESH]
  • |Child, Preschool[MESH]
  • |Cross-Sectional Studies[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |India/epidemiology[MESH]
  • |Logistic Models[MESH]
  • |Male[MESH]
  • |Prevalence[MESH]
  • |ROC Curve[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box