Kosīte Daina, van Lenthe Frank J, Nieuwenhuijsen Mark J, Beenackers Mariëlle A
Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
ISGlobal, Barcelona, Spain.
Eur J Public Health. 2025 Feb 1;35(1):72-78. doi: 10.1093/eurpub/ckae222.
Neighbourhood socioeconomic status (NSES) has been identified as a determinant of mental health. In this study, we aimed to quantify how many cases of common mental health problems could be prevented by increasing NSES in the most socioeconomically deprived neighbourhoods in Rotterdam, the Netherlands, and how the increases in NSES would affect mental health inequalities. We used publicly available data for conducting a quantitative Health Impact Assessment (HIA) of two counterfactual policy scenarios. In Scenario 1, we set the NSES to the Rotterdam median score for all neighbourhoods which were below the Rotterdam median. In Scenario 2, we set the NSES score to the Dutch national average socioeconomic status score for the neighbourhoods that were below the national average. We estimated that Scenario 1 could prevent 5847 (95% CI, 2700-7999) or 10.7% of annual cases of common mental health problems, and Scenario 2 could prevent 10 713 (95% CI, 4875-14 799) or 19.6% of annual cases in Rotterdam while also reducing mental health inequalities between neighbourhoods in both scenarios. Given the substantial improvements in population mental health that enhanced neighbourhood socioeconomic conditions would bring, policy implementation is urgently needed.
邻里社会经济地位(NSES)已被确定为心理健康的一个决定因素。在本研究中,我们旨在量化通过提高荷兰鹿特丹社会经济最贫困社区的NSES可以预防多少常见心理健康问题病例,以及NSES的提高将如何影响心理健康不平等。我们使用公开可用的数据对两种反事实政策情景进行定量健康影响评估(HIA)。在情景1中,我们将所有低于鹿特丹中位数的社区的NSES设定为鹿特丹中位数分数。在情景2中,我们将低于全国平均水平的社区的NSES分数设定为荷兰全国平均社会经济地位分数。我们估计,情景1可以预防5847例(95%CI,2700 - 7999)或每年10.7%的常见心理健康问题病例,情景2可以预防10713例(95%CI,4875 - 14799)或鹿特丹每年19.6%的病例,同时在两种情景中也减少了社区之间的心理健康不平等。鉴于邻里社会经济条件的改善将给人群心理健康带来实质性提升,迫切需要实施相关政策。