Street-view greenspace exposure and objective sleep characteristics among children.
Street-view greenspace exposure and objective sleep characteristics among children.
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DOI：
10.1016/j.envres.2022.113744
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发表时间：
2022-11
影响因子：
8.3
通讯作者：
James, Peter
中科院分区：
文献类型：
--
作者：
Jimenez, Marcia P.;Suel, Esra;Rifas-Shiman, Sheryl L.;Hystad, Perry;Larkin, Andrew;Hankey, Steve;Just, Allan C.;Redline, Susan;Oken, Emily;James, Peter
关键词：
绿色空间可以通过增强身体活动，减少压力或空气污染暴露来有益于睡眠。关于绿色空间和儿童睡眠的研究有限，大多数使用卫星衍生的措施，无法捕获可能对睡眠很重要的地面暴露。我们在马萨诸塞州的一个出生前队列中研究了基于街景图像（SVI）的绿地与睡眠的关系。我们使用深度学习算法来获得绿地的新指标（例如，在2007-2010年（儿童中期，平均年龄7.9岁）和2012-2016年（青春期早期，13.2岁）期间，在参与者住宅地址250 m范围内来自SVI的树木%，草%）（N=533）。在青春期早期，参与者完成了>5天的腕关节活动记录。睡眠持续时间、效率和入睡后清醒时间（WASO）来自活动记录仪数据。我们使用线性回归来检查儿童中期和青春期早期绿地暴露与青春期早期睡眠的横向和前瞻性关联，调整混杂因素。我们比较了与基于卫星的绿地（归一化植被指数，NDVI）的关联。在未校正的模型中，基于儿童中期SVI的总绿地和%树木（每四分位数范围）与青春期早期较长的睡眠时间相关（9.4分钟/天; 95%CI：3.2，15.7; 8.1; 95%CI：1.7，14.6）。然而，在完全校正的模型中，仅观察到儿童中期的%草与WASO之间的关联（4.1; 95%CI：0.2，7.9）。绿色空间和睡眠效率之间没有联系，也没有在青少年早期的横断面模型中观察到。绿色空间和睡眠之间的联系因种族和社会经济亚组而异。例如，在黑人参与者中，较高的NDVI与较好的睡眠相关，在社会经济地位（SES）较低的社区，较高的%草与较差的睡眠相关，在SES较高的社区，较高的总绿地和%草与较好的睡眠时间相关。SVI指标可能具有识别影响睡眠的绿地的特定特征的潜力。
Greenspace may benefit sleep by enhancing physical activity, reducing stress or air pollution exposure. Studies on greenspace and children’s sleep are limited, and most use satellite-derived measures that do not capture ground-level exposures that may be important for sleep. We examined associations of street view imagery (SVI)-based greenspace with sleep in Project Viva, a Massachusetts pre-birth cohort. We used deep learning algorithms to derive novel metrics of greenspace (e.g., %trees, %grass) from SVI within 250m of participant residential addresses during 2007-2010 (mid-childhood, mean age 7.9 years) and 2012-2016 (early adolescence, 13.2y) (N=533). In early adolescence, participants completed >5 days of wrist actigraphy. Sleep duration, efficiency, and time awake after sleep onset (WASO) were derived from actigraph data. We used linear regression to examine cross-sectional and prospective associations of mid-childhood and early adolescence greenspace exposure with early adolescence sleep, adjusting for confounders. We compared associations with satellite-based greenspace (Normalized Difference Vegetation Index, NDVI). In unadjusted models, mid-childhood SVI-based total greenspace and %trees (per interquartile range) were associated with longer sleep duration at early adolescence (9.4 min/day; 95%CI:3.2,15.7; 8.1; 95%CI:1.7,14.6 respectively). However, in fully adjusted models, only the association between %grass at mid-childhood and WASO was observed (4.1; 95%CI:0.2,7.9). No associations were observed between greenspace and sleep efficiency, nor in cross-sectional early adolescence models. The association between greenspace and sleep differed by racial and socioeconomic subgroups. For example, among Black participants, higher NDVI was associated with better sleep, in neighborhoods with low socio-economic status (SES), higher %grass was associated with worse sleep, and in neighborhoods with high SES, higher total greenspace and %grass were associated with better sleep time. SVI metrics may have the potential to identify specific features of greenspace that affect sleep.
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影响因子：
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作者：
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影响因子：
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DOI：
10.3390/ijerph15081576
发表时间：
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影响因子：
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影响因子：
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作者：
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通讯作者：
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