Valrie Cecelia R, Trout Krystal L, Bond Kayzandra E, Ladd Rebecca J, Huber Nichelle L, Alston Kristen J, Sufrinko Alicia M, Everhart Erik, Fuh Beng R
Department of Psychology, Virginia Commonwealth University, Richmond, VA.
Departments of Psychology.
J Pediatr Hematol Oncol. 2018 Mar;40(2):116-121. doi: 10.1097/MPH.0000000000001067.
The aims of the current study were to investigate whether SCD incurs an additional risk for poor sleep over and above the influence of sociodemographic factors (ie, race and sex) during adolescence, and to explore the relationships between sociodemographic, physical (ie, age and pubertal status), and disease-related factors (ie, SCD genotype and hydroxyurea use) on sleep problem risk during adolescence. Black adolescents (age, 12 to 17 y) with SCD (n=53) were recruited from regional pediatric SCD clinics in the southeast and a sample of healthy black adolescents (n=160) were recruited from middle and high schools. Regression analyses indicated that SCD was uniquely related to sleeping more, and worse sleep quality over and above the influence of sociodemographic factors. Having a more severe SCD genotype was related to worse sleep quality and higher pubertal status was related to sleeping longer during the week. Results indicate the need for systematic assessments of sleep problems, with more a focus on youth with more severe genotypes and higher pubertal status. Future research should focus on characterizing trajectories of sleep problems in this population, identifying key risk factors, and elucidating mechanisms linking risk factors to sleep problem risk to aid in tailoring interventions for this population.
本研究的目的是调查镰状细胞贫血（SCD）在青少年时期是否会在社会人口统计学因素（即种族和性别）的影响之外带来睡眠质量差的额外风险，并探讨社会人口统计学、身体因素（即年龄和青春期状态）以及疾病相关因素（即SCD基因型和羟基脲使用情况）与青少年睡眠问题风险之间的关系。从东南部地区的儿科SCD诊所招募了患有SCD的黑人青少年（年龄在12至17岁之间，n = 53），并从初中和高中招募了健康黑人青少年样本（n = 160）。回归分析表明，除了社会人口统计学因素的影响外，SCD与睡眠时间更长以及睡眠质量更差存在独特关联。具有更严重的SCD基因型与睡眠质量更差相关，而较高的青春期状态与一周内睡眠时间更长相关。结果表明需要对睡眠问题进行系统评估，更多地关注具有更严重基因型和较高青春期状态的青少年。未来的研究应侧重于描述该人群睡眠问题的轨迹，确定关键风险因素，并阐明风险因素与睡眠问题风险之间的联系机制，以帮助为该人群量身定制干预措施。
