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Waking up to sleep's role in obesity and blood pressure among Black adolescent girls in low-income, US urban communities: A longitudinal analysis

机译:醒来睡在肥胖和血液的作用压力在黑人少女美国低收入城市社区:一个纵向分析

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Objective: To identify longitudinal bidirectional associations between unique sleep trajectories and obesity and hypertension among Black, adolescent girls.Design, setting, and participants: Longitudinal data were from a randomized controlled trial (2009-2013) implemented in schools serving low-income communities aimed at preventing obesity among adolescent girls (mean age = 12.2 years (standard deviation 0.72). Measures: Nocturnal sleep data were extracted from accelerometers at T1 (enrollment, n = 470), T2 (6-month, n = 348), and T3 (18-month follow-up, n = 277); height and weight were measured at T1-T3; and systolic/diastolic blood pressure at T1 and T3 using an oscillometric monitor. Multilevel models examined longitudinal associations. Finite mixture models identified sleep trajectory groups. Structural equation models examined whether T1 chronic disease risk predicted sleep profiles, and conversely, if sleep trajectories predicted T3 chronic disease risk. Data were analyzed in 2021. Results: For each additional hour of sleep and 1% increase in efficiency there was a 7% lower risk of overweight/ obesity at T1 and 6% lower risk at T2, but not at T3. Four sleep trajectories emerged: Worsened, Irregular, Improved, and Regular, with no demographic or metabolic differences between the trajectories. Improved sleep trajectory predicted lower diastolic percentile at T3 (b =-8.81 [95% confidence interval-16.23,-1.40]). Conclusions: Group-based trajectories of sleep duration and quality provide information on modifiable factors that can be targeted in interventions to evaluate their impact on reducing chronic diseases and addressing disparities. Additional research is needed on samples beyond those recruited in the context of an intervention study. (c) 2022 The Authors. Published by Elsevier Inc. on behalf of National Sleep Foundation. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
机译:目的:确定纵向双向的独特的睡眠轨迹之间的关联和肥胖和高血压之间的黑色,少女。参与者:纵向数据来自一个随机对照试验(2009 - 2013)在学校中实现服务低收入社区旨在防止肥胖少女(平均年龄= 12.2年(标准偏差0.72)。在T1提取从加速计吗(n = 470)登记T2(6个月,n = 348)、和T3(为期18个月的随访,n = 277);在T1-T3重量测量;在T1和T3收缩压/舒张压使用示波的监视器。检查纵向关联。混合模型确定睡眠轨迹组。T1慢性疾病风险预测是否睡眠配置文件,相反,如果睡眠的轨迹预测T3慢性疾病的风险。分析了在2021年。小时的睡眠和效率增加1%是一个在T1超重/肥胖的风险降低7%吗在T2和风险降低6%,但不是在T3。睡眠轨迹出现了:恶化,不规则,改善,普通,没有人口或代谢轨迹之间的差异。改善睡眠轨迹预测低舒张压在T3 (b = -8.81(95%百分位置信区间(16.23,-1.40)。组的睡眠时间和轨迹提供修改的信息质量的因素可以有针对性的干预措施来评估对减少慢性疾病和他们的影响解决差异。需要样本之外的招募干预研究的背景。作者。国家睡眠基金会。文章根据CC BY-NC-ND许可证

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