Evidence map›Paper›PMID 35495796›Full record

ArticleJournal of family medicine and primary care2022

Socioemotional behaviour of toddlers influenced by the sleep patterns: Prevalence study.

Gigi Sam, Maha Naif, Sarah Zinaf, Maha Hamoud, Noora Inad

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Gigi SamDepartment of Pharmaceutical Sciences, College of Pharmacy, Shaqra University, Kingdom of Saudi Arabia.
Maha NaifDepartment of Pharmaceutical Sciences, College of Pharmacy, Shaqra University, Kingdom of Saudi Arabia.
Sarah ZinafDepartment of Pharmaceutical Sciences, College of Pharmacy, Shaqra University, Kingdom of Saudi Arabia.
Maha HamoudDepartment of Pharmaceutical Sciences, College of Pharmacy, Shaqra University, Kingdom of Saudi Arabia.
Noora InadDepartment of Pharmaceutical Sciences, College of Pharmacy, Shaqra University, Kingdom of Saudi Arabia.
Christie's · GBShaqra University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study investigates the influence of sleep duration and sleep patterns on the social-emotional behaviour of 3-70-month-old children. Methods: A Brief Infant Sleep Questionnaire (BISQ) and Ages, Stages Questionnaire: Social-Emotional (ASQ:SE) were filled by the participants through a web link. The internal consistency of the items used in the questionnaire was analysed using Cronbach's alpha and the effects of sleeping disorders on the likelihood of children having social-emotional problems were performed by binary logistic regressions. Results: The highest level of bedtime resistance and nocturnal awakening was observed in children of 27-32 months of age, while sleep anxiety was maximum in 42-53-month-old children. The logistic regression models were found to be statistically significant with Conclusion: Our findings imply that no statistically significant association was observed between sleep duration and social-emotional problems, however, sleep disorders significantly impacted social-emotional behaviour and also night-waking caused social-emotional behavioural issues in preschoolers.

Indexed as

Emotional behavioursleep disorderssleep duration

Identifiers

PMID35495796
PMCPMC9051712
OpenAlexW4225308690

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.