Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neurosciences, King's College London, United Kingdom.
Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neurosciences, King's College London, United Kingdom.
Schizophr Res. 2018 Feb;192:371-376. doi: 10.1016/j.schres.2017.06.006.
Individuals are defined as being at ultra-high risk (UHR) for psychosis based on a combination of attenuated psychotic symptoms, help-seeking behaviour, genetic risk, and social/occupational deterioration. Limited evidence is available on whether UHR detection differs by neighbourhood, and potential explanations.
To examine neighbourhood distribution of detected UHR using cases from the OASIS service in South East London, investigating neighbourhood deprivation as an explanatory variable.
Geographic data were collected on patients who met UHR criteria over a fourteen-year period, at the neighbourhood (lower super output area, LSOA) level. Rates were calculated based on cases and age-specific population estimates. Poisson regression assessed associations between UHR rate and neighbourhood deprivation, and with particular deprivation domains, adjusting for referrals for UHR assessment, population density, and proportions of non-White people, and young single people.
Rate of UHR detection was statistically related to neighbourhood deprivation, but referral rate was not: compared to the least deprived neighbourhoods, the most deprived neighbourhoods had a greater than two-fold increase in incidence rate of detected UHR (adjusted incidence rate ratio (IRR): 2.11, 95% confidence interval (CI): 1.21,3.67). In contrast, a small, imprecise association was observed for referral for assessment for UHR (adjusted IRR: 1.26 (95%CI: 0.84,1.89)). Evidence was also found for associations of UHR detection rate with domains of deprivation pertaining to health and barriers to services.
The distribution of UHR detection rates by neighbourhood is not random and may be explained in part by differences in the social environment between neighbourhoods.
个体基于精神症状减弱、寻求帮助、遗传风险和社会/职业恶化等因素的综合表现被定义为处于精神病超高风险(UHR)状态。目前,关于 UHR 的检测是否因社区不同而有所不同,以及潜在的解释,相关证据有限。
使用来自伦敦东南部 OASIS 服务的病例,研究超精神病风险的社区分布,探讨社区贫困作为一个解释变量。
在 14 年期间,对符合 UHR 标准的患者进行了地理数据收集,数据收集在邻里(低级输出区,LSOA)层面进行。根据病例和特定年龄的人口估计计算了比率。泊松回归评估了 UHR 发生率与社区贫困程度之间的关联,以及与特定贫困领域之间的关联,调整了 UHR 评估转诊率、人口密度以及非白人人口和年轻单身人口的比例。
UHR 检测率与社区贫困程度存在统计学关联,但转诊率没有:与最不贫困的社区相比,最贫困的社区 UHR 检出率的发病率增加了两倍以上(调整后的发病率比(IRR):2.11,95%置信区间(CI):1.21,3.67)。相比之下,对于 UHR 评估的转诊,观察到一个较小且不精确的关联(调整后的 IRR:1.26(95%CI:0.84,1.89))。还发现了 UHR 检出率与与健康和服务障碍相关的贫困领域之间的关联。
UHR 检出率的社区分布并非随机,部分原因可能是社区之间社会环境的差异。