Abstract：
OBJECTIVE: Despite rich data on neighborhood safety perception\'s role in shaping depressive symptoms, a comprehensive view of this dynamic interplay remains a frontier. This study seeks to unravel the intricate interplay of neighborhood safety perception and depressive symptoms, utilizing the lens of social safety theory.
METHODS: Employing the 2016 and 2020 waves of the China Family Panel Studies (CFPS), this study utilized ordered logistic regression (ologit) for statistical analysis. The approach encompassed descriptive analysis of variables, Spearman\'s correlation analyses to explore associations between variables, and a moderated mediation analysis. Sensitivity analyses were also conducted to affirm the robustness of findings against model assumptions and data processing techniques.
RESULTS: The study uncovered a significant negative correlation between neighborhood safety perception and depressive symptoms (Direct effect = - 0.338, Z = - 2.564, p = 0.010). A key finding was the steeper slope of the relationship between neighborhood safety perception and neighborhood relation perception among individuals with a higher perception of neighborhood environment quality. As neighborhood environment quality perception increases, the strength of the mediated negative impact on depressive symptoms intensifies (- 0.102 > - 0.132 > - 0.162).
CONCLUSIONS: This study offers a comprehensive moderated mediation model that establishes a novel connection between neighborhood safety perception and depressive symptoms. It integrates the complexities of social safety theory and social information processes, revealing key strategies such as enhancing perceived neighborhood environment quality and neighborhood relationship quality.
METHODS: Employing the 2016 and 2020 waves of the China Family Panel Studies (CFPS), this study utilized ordered logistic regression (ologit) for statistical analysis. The approach encompassed descriptive analysis of variables, Spearman\'s correlation analyses to explore associations between variables, and a moderated mediation analysis. Sensitivity analyses were also conducted to affirm the robustness of findings against model assumptions and data processing techniques.
RESULTS: The study uncovered a significant negative correlation between neighborhood safety perception and depressive symptoms (Direct effect = - 0.338, Z = - 2.564, p = 0.010). A key finding was the steeper slope of the relationship between neighborhood safety perception and neighborhood relation perception among individuals with a higher perception of neighborhood environment quality. As neighborhood environment quality perception increases, the strength of the mediated negative impact on depressive symptoms intensifies (- 0.102 > - 0.132 > - 0.162).
CONCLUSIONS: This study offers a comprehensive moderated mediation model that establishes a novel connection between neighborhood safety perception and depressive symptoms. It integrates the complexities of social safety theory and social information processes, revealing key strategies such as enhancing perceived neighborhood environment quality and neighborhood relationship quality.
摘要：
目标：尽管关于邻里安全感在塑造抑郁症状方面的作用的数据丰富，对这种动态相互作用的全面看法仍然是一个前沿。这项研究旨在揭示邻里安全感和抑郁症状之间的复杂相互作用，利用社会安全理论的视角。
方法：采用2016年和2020年中国家庭小组研究（CFPS）的浪潮，本研究采用有序逻辑回归(ologit)进行统计分析.该方法包括对变量的描述性分析，斯皮尔曼的相关性分析，以探索变量之间的关联，和适度的调解分析。还进行了敏感性分析，以确认研究结果相对于模型假设和数据处理技术的稳健性。
结果：该研究揭示了邻里安全感知与抑郁症状之间的显着负相关（直接效应=-0.338，Z=-2.564，p=0.010）。一个关键发现是对邻里环境质量感知较高的个体之间的邻里安全感知与邻里关系感知之间的关系斜率较陡。随着邻里环境质量感知的增加，介导的负面影响对抑郁症状的强度增强（-0.102>-0.132>-0.162）。
结论：这项研究提供了一个全面的适度调解模型，该模型在邻里安全感知与抑郁症状之间建立了新颖的联系。它整合了社会安全理论和社会信息过程的复杂性，揭示提高感知邻里环境质量和邻里关系质量等关键策略。
方法：采用2016年和2020年中国家庭小组研究（CFPS）的浪潮，本研究采用有序逻辑回归(ologit)进行统计分析.该方法包括对变量的描述性分析，斯皮尔曼的相关性分析，以探索变量之间的关联，和适度的调解分析。还进行了敏感性分析，以确认研究结果相对于模型假设和数据处理技术的稳健性。
结果：该研究揭示了邻里安全感知与抑郁症状之间的显着负相关（直接效应=-0.338，Z=-2.564，p=0.010）。一个关键发现是对邻里环境质量感知较高的个体之间的邻里安全感知与邻里关系感知之间的关系斜率较陡。随着邻里环境质量感知的增加，介导的负面影响对抑郁症状的强度增强（-0.102>-0.132>-0.162）。
结论：这项研究提供了一个全面的适度调解模型，该模型在邻里安全感知与抑郁症状之间建立了新颖的联系。它整合了社会安全理论和社会信息过程的复杂性，揭示提高感知邻里环境质量和邻里关系质量等关键策略。
