Waking up to sleep's role in obesity and blood pressure among Black adolescent girls in low-income, US urban communities: A longitudinal analysis.
Waking up to sleep's role in obesity and blood pressure among Black adolescent girls in low-income, US urban communities: A longitudinal analysis.
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DOI：
10.1016/j.sleh.2021.12.001
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发表时间：
2022-04
期刊：
影响因子：
4.1
通讯作者：
Black, Maureen M.
中科院分区：
文献类型：
--
作者：
Trude, Angela Cristina Bizzotto;Armstrong, Bridget;Machado, Adriana Kramer Fiala;Wickwire, Emerson M.;Covington, Lauren B.;Wang, Yan;Hager, Erin;Black, Maureen M.
确定黑人青春期女孩独特的睡眠轨迹与肥胖和高血压之间的纵向双向关联。纵向数据来自一项随机对照试验（2009-2013年），该试验在服务于低收入社区的学校实施，旨在预防青春期女孩肥胖（平均年龄= 12.2岁（SD ± 0.72））。在T1（入组，n = 470）、T2（6个月，n = 348）和T3（18个月随访，n = 277）时从加速度计中提取夜间睡眠数据;在T1-T3时测量身高和体重;在T1和T3时使用血压计监测收缩压/舒张压（SDBP）。多水平模型研究了纵向关联。有限混合模型识别睡眠轨迹组。结构方程模型检查了T1慢性疾病风险是否可以预测睡眠状况，反之亦然，睡眠轨迹是否可以预测T3慢性疾病风险。2021年数据分析。每增加一小时的睡眠和1%的效率增加，T1时超重/肥胖的风险降低7%，T2时降低6%，但T3时没有。出现了四种睡眠轨迹：恶化，不规则，改善和规则，轨迹之间没有人口统计学或代谢差异。改善的睡眠轨迹预测T3时较低的舒张百分位数（B = −8.81 [95% CI −16.23，−1.40]）。基于群体的睡眠时间和质量轨迹提供了有关可改变因素的信息，这些因素可以在干预措施中作为目标，以评估其对减少慢性疾病和解决差距的影响。除了在干预研究中招募的样本外，还需要对样本进行更多的研究。
To identify longitudinal bidirectional associations between unique sleep trajectories and obesity and hypertension among Black, adolescent girls. 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 y (SD ± 0.72). 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 (SDBP) 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. 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% CI −16.23, −1.40]). 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.
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影响因子：
5.2
作者：
Gohil A;Hannon TS
通讯作者：
Hannon TS
影响因子：
5.2
作者：
Hawkins, S. S.;Takeuchi, D. T.
通讯作者：
Takeuchi, D. T.
影响因子：
3.4
作者：
Ranum BM;Wichstrøm L;Pallesen S;Falch-Madsen J;Steinsbekk S
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Steinsbekk S
影响因子：
3
作者：
Croix, B;Feig, DI
通讯作者：
Feig, DI
影响因子：
10.5
作者：
Meltzer, Lisa J.;Williamson, Ariel A.;Mindell, Jodi A.
通讯作者：
Mindell, Jodi A.