Department of Sport Science, University of Konstanz, Konstanz, Germany.
Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, United States.
JMIR Mhealth Uhealth. 2023 May 11;11:e41345. doi: 10.2196/41345.
Living in urban environments affects individuals' mental health through different pathways. For instance, physical activity and social participation are seen as mediators. However, aiming to understand underlying mechanisms, it is necessary to consider that the individual is interacting with its environment. In this regard, this viewpoint discusses how urban health research benefits from integration of socioecological and interdisciplinary perspectives, combined with innovative ambulatory data assessments that enable researchers to integrate different data sources. It is stated that neither focusing on the objective and accurate assessment of the environment (from the perspective of spatial sciences) nor focusing on subjectively measured individual variables (from the public health as well as a psychosocial perspective) alone is suitable to further develop the field. Addressing person-place interactions requires an interdisciplinary view on the level of theory (eg, which variables should be focused on?), assessment methods (eg, combination of time-varying objective and subjective measures), as well as data analysis and interpretation. Firstly, this viewpoint gives an overview on previous findings addressing the relationship of environmental characteristics to physical activity and mental health outcomes. We emphasize the need for approaches that allow us to appropriately assess the real-time interaction between a person and a specific environment and examine within-subject associations. This requires the assessment of environmental features, the spatial-temporal behavior of the individual, and the subjective experiences of the situation together with other individual factors, such as momentary affective states. Therefore, we finally focused on triggered study designs as an innovative ambulatory data assessment approach that allows us to capture real-time data in predefined situations (eg, while walking through a specific urban area).
生活在城市环境中会通过不同途径影响个体的心理健康。例如,身体活动和社会参与被视为其中的中介因素。然而,为了理解潜在机制,有必要考虑到个体与环境的相互作用。在这方面,本文观点讨论了城市健康研究如何受益于社会生态和跨学科观点的整合,以及结合创新的流动数据评估,使研究人员能够整合不同的数据来源。文中指出,仅仅关注环境的客观和准确评估(从空间科学的角度)或仅仅关注主观测量的个体变量(从公共卫生和心理社会角度)都不适合进一步发展该领域。解决人与环境的相互作用需要从理论层面(例如,应该关注哪些变量?)、评估方法(例如,客观和主观测量的时变组合)以及数据分析和解释层面采取跨学科的观点。首先,本文观点概述了先前关于环境特征与身体活动和心理健康结果之间关系的研究结果。我们强调需要采用能够适当评估个体与特定环境实时相互作用并检查个体内部关联的方法。这需要评估环境特征、个体的时空行为以及与其他个体因素(如瞬时情感状态)一起的情境主观体验。因此,我们最终关注触发式研究设计作为一种创新的流动数据评估方法,该方法允许我们在预定义的情境中捕获实时数据(例如,当穿过特定的城市区域时)。