Current situation of infants'and toddlers'bed-sharing and its influence on sleep outcome in two districts of Beijing
Objective To analyze the current situation and influencing factors of infants'and toddlers'bed-sharing and its influence on sleep outcome in two districts of Beijing.Methods A total of 1 302 resident infants were randomly selected from eight community health service centers in two districts of Beijing from June 1st to August 31th 2021 by the cluster sampling method.The caregivers of respondents filled in the brief infants sleep questionaires(BISQ)and the self-made basic situation questionnaire to understand the bed arrengment and sleep mode of infants and toddlers through face-to-face investigation.Multivariate unconditional logistic regression equation was used to analyze the influencing factors of bed sharing,and multiple linear regression was used to analyze the influence of bed-sharing on sleep outcomes.Results There were 646 males and 656 females among 1 302 infants and toddlers,aged from 0 to 35 months,with an average age of(10.1±9.6)months.The proportion of infants'and toddlers'bed-sharing with their parents was 61.0%,the room-sharing was 36.2%,and the solitary sleep was 2.8%.Multivariate logistic regression analysis results showed that infants and toddlers with older age(OR=1.466,95%CI:1.265-1.699),lower fathers'educational level(OR=1.721,95%CI:1.556-1.936)and lower monthly household income(OR=1.806,95%CI:1.664-1.979)were more likely to have the higher percentage of bed-sharing(P<0.05).Multiple linear regression analysis results showed that bed-sharing infants and toddlers had shorter sleep time at night and later bedtime after correcting the confouding factors.Conclusions Bed-sharing is common for infants in two districts of Beijing,which is related to their age,father's literacy and family's income,and has a certain impact on children's sleep outcome.Popularization of science and health guidance on sleep parenting care should be strengthened in children's health care.
bed-sharingsleep timemultiple linear regressioninfant
万方数据
维普
