Holland Alexandra B, Cohen Achituv, Faerman Afik, Nelson Trisalyn A, Wright Brittany, Kumar Raj G, Ngan Esther, Herrera Susan, Juengst Shannon B
Department of Physical Medicine & Rehabilitation, UT Southwestern Medical Center, Dallas, TX, United States of America.
Spatial Pattern Analysis and Research Lab, Department of Geography at University of California Santa Barbara, Santa Barbara, United States of America.
Dialogues Health. 2023 Mar 25;2:100129. doi: 10.1016/j.dialog.2023.100129. eCollection 2023 Dec.
This pilot study's aim was to determine the feasibility of examining the effects of an environmental variable (i.e., tree canopy coverage) on mental health after sustaining a brain injury.
A secondary data analysis was conducted leveraging existing information on mental health after moderate to severe traumatic brain injury (TBI) from the TBI Model System. Mental health was measured using PHQ-9 (depression) and GAD-7 (anxiety) scores. The data were compared with data on tree canopy coverage in the state of Texas that was obtained from the Multi-Resolution Land Characteristics (MRLC) Consortium using GIS analysis. Tree canopy coverage as an indicator of neighborhood socioeconomic status was also examined using the Neighborhood SES Index.
Tree canopy coverage had weak and non-significant correlations with anxiety and depression scores, as well as neighborhood socioeconomic status. Data analysis was limited by small sample size. However, there is a higher percentage (18.8%) of participants who reported moderate to severe depression symptoms in areas with less than 30% tree canopy coverage, compared with 6.6% of participants who endorsed moderate to severe depression symptoms and live in areas with more than 30% tree canopy coverage (there was no difference in anxiety scores).
Our work confirms the feasibility of measuring the effects of tree canopy coverage on mental health after brain injury and warrants further investigation into examining tree canopy coverage and depression after TBI. Future work will include nationwide analyses to potentially detect significant relationships, as well as examine differences in geographic location.
本初步研究旨在确定在脑损伤后研究环境变量(即树冠覆盖率)对心理健康影响的可行性。
利用创伤性脑损伤(TBI)模型系统中关于中度至重度创伤性脑损伤后心理健康的现有信息进行二次数据分析。使用PHQ-9(抑郁)和GAD-7(焦虑)评分来衡量心理健康。将这些数据与通过地理信息系统(GIS)分析从多分辨率土地特征(MRLC)联盟获得的德克萨斯州树冠覆盖率数据进行比较。还使用邻里社会经济地位指数来检验树冠覆盖率作为邻里社会经济地位指标的情况。
树冠覆盖率与焦虑和抑郁评分以及邻里社会经济地位之间的相关性较弱且无统计学意义。数据分析受到样本量小的限制。然而,树冠覆盖率低于30%的地区有18.8%的参与者报告有中度至重度抑郁症状,相比之下,树冠覆盖率超过30%的地区有6.6%的参与者认可有中度至重度抑郁症状(焦虑评分无差异)。
我们的工作证实了测量树冠覆盖率对脑损伤后心理健康影响的可行性,并值得进一步研究脑损伤后树冠覆盖率与抑郁之间的关系。未来的工作将包括全国范围的分析,以潜在地发现显著关系,并研究地理位置的差异。