ArticleBMC pediatrics2024
Associations between abnormal sleep behavior and indoor environmental risk factors among children with a chronic cough in Wuxi, China: a cross-sectional study.
Article in BMC pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundIndoor environmental factors, such as pet ownership, presence of cockroaches, mattress quality, fuel usage (gas or electricity), use of biomass for cooking and heating, exposure to tobacco smoke or household molds can significantly affect the sleep quality of children with chronic cough. However, data regarding the effects of indoor environmental conditions on sleep in this population are limited. This study aimed to assess the prevalence of abnormal sleep behaviors and to establish associations between indoor environmental factors and sleep behaviors among children with chronic cough in Wuxi, China.
methodsA cross-sectional design was employed in this study, involving children aged 3-18 years. Data on sociodemographic factors, allergies, home environmental exposures, and sleep characteristics of the participants were collected using paper-based questionnaires. The association between indoor environmental factors and sleep behaviors in children with chronic cough was analyzed using logistic regression models.
resultsThe findings demonstrated that the prevalence of chronic cough among children in Wuxi was 15.50%. The chronic cough group exhibited a significantly higher incidence of eczema, wheezing, rhinitis, food allergy, and nasosinusitis than the non-chronic cough group. In addition, children with chronic cough also tended to have a family history of sleep disorders and adenoid hypertrophy (P < 0.01). After adjusting for confounding factors, a significant association was observed between bruxism (teeth grinding) and chronic cough (sometimes: odds ratio [OR] = 1.04; confidence interval [CI] = 1.01-1.08; always: OR = 1.11; CI = 1.04-1.19; P < 0.01). Among children with chronic cough, recent home decoration was associated with sleepwalking (OR = 1.04; CI = 1.00-1.07; P < 0.05), mold exposure was associated with bruxism (OR = 1.15; CI = 1.0-1.31; P < 0.05), and carpet use at home was associated with apnea (OR = 1.09; CI = 1.02-1.17; P < 0.05), twitching during sleep (OR = 1.13; CI = 1.00-1.27; P < 0.01) and morning headache (OR = 1.14; CI = 1.05-1.23; P < 0.01).
conclusionChildren with chronic cough are more prone to some abnormal sleep behaviors than children without chronic cough. Household decoration within a year, household mold exposure, and carpet use were all significantly positively associated with abnormal sleep behaviors in children with chronic cough. Our study provides novel insights into the impact of the indoor environment on children's sleep and the occurrence of chronic cough, offering guidance for tailored health promotion programs for families.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.