PsyLife Group, Division of Psychiatry, University College London, London, United Kingdom.
Department of Primary Care and Population Health, UCL, University College London, London, United Kingdom.
JAMA Psychiatry. 2023 Dec 1;80(12):1258-1268. doi: 10.1001/jamapsychiatry.2023.3220.
People with psychosis are more likely to be born and live in densely populated and socioeconomically deprived environments, but it is unclear whether these associations are a cause or consequence of disorder.
To investigate whether trajectories of exposure to deprivation and population density before and after diagnosis are associated with psychotic disorders or nonpsychotic bipolar disorder.
DESIGN, SETTING, AND PARTICIPANTS: This nested case-control study included all individuals born in Sweden between January 1, 1982, and December 31, 2001, diagnosed for the first time with an International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) psychotic disorder or nonpsychotic bipolar disorder between their 15th birthday and cohort exit (December 31, 2016). One sex- and birth year-matched control participant per case was selected. Data analysis was performed from July 2021 to June 2023.
The main exposures were quintiles of neighborhood-level deprivation and population density each year from birth to age 14 years and from first diagnosis until cohort exit.
The main outcomes were the odds of a serious mental illness outcome associated with trajectories of deprivation and population density, before and after diagnosis in cases. Group-based trajectory modeling was used to derive trajectories of each exposure in each period. Logistic regression was used to examine associations with outcomes.
A total of 53 458 individuals (median [IQR] age at diagnosis in case patients, 23.2 [15.0-34.8] years; 30 746 [57.5%] female), including 26 729 case patients and 26 729 control participants, were studied. From birth to early adolescence, gradients were observed in exposure to deprivation and population density trajectories during upbringing and psychotic disorder, with those in the most vs least deprived (adjusted odds ratio [AOR], 1.17; 95% CI, 1.08-1.28) and most vs least densely populated (AOR, 1.49; 95% CI, 1.34-1.66) trajectories at greatest risk. A strong upward mobility trajectory to less deprived neighborhoods was associated with similar risk to living in the least deprived trajectory (AOR, 1.01; 95% CI, 0.91-1.12). Only 543 case patients (2.0%) drifted into more deprived areas after diagnosis; people with psychotic disorder were more likely to belong to this trajectory (AOR, 1.38; 95% CI, 1.16-1.65) or remain in the most deprived trajectory (AOR, 1.36; 95% CI, 1.24-1.48) relative to controls. Patterns were similar for nonpsychotic bipolar disorder and deprivation but weaker for population density.
In this case-control study, greater exposure to deprivation during upbringing was associated with increased risk of serious mental illness, but upward mobility mitigated this association. People with serious mental illness disproportionately remained living in more deprived areas after diagnosis, highlighting issues of social immobility. Prevention and treatment should be proportionately located in deprived areas according to need.
患有精神病的人更有可能在人口密集和社会经济贫困的环境中出生和生活,但目前尚不清楚这些关联是疾病的原因还是后果。
调查在诊断前后,在人口密度和贫困程度方面的暴露轨迹是否与精神病或非精神病性双相情感障碍有关。
设计、设置和参与者:本嵌套病例对照研究纳入了所有 1982 年 1 月 1 日至 2001 年 12 月 31 日期间在瑞典出生的个体,他们在 15 岁生日至队列退出(2016 年 12 月 31 日)期间首次被诊断为国际疾病分类第 10 次修订版(ICD-10)精神病或非精神病性双相情感障碍。每个病例选择一名性别和出生年份匹配的对照参与者。数据分析于 2021 年 7 月至 2023 年 6 月进行。
主要暴露因素是出生至 14 岁以及首次诊断至队列退出期间,每年的邻里贫困程度和人口密度五分位数。
主要结果是病例患者在诊断前后,暴露于贫困和人口密度轨迹与严重精神疾病结局的几率。使用基于群组的轨迹建模来推导每个暴露因素在每个时期的轨迹。使用逻辑回归来检查与结果的关联。
共研究了 53458 名参与者(病例患者的中位数[IQR]诊断年龄,23.2[15.0-34.8]岁;30746[57.5%]为女性),包括 26729 名病例患者和 26729 名对照参与者。从出生到青少年早期,在养育期间和精神病方面,暴露于贫困和人口密度轨迹存在梯度,最贫困与最不贫困(调整后的优势比[OR],1.17;95%CI,1.08-1.28)和人口密度最高与最低(OR,1.49;95%CI,1.34-1.66)的轨迹风险最高。向贫困程度较低的社区的向上流动性轨迹与生活在最贫困轨迹的风险相似(OR,1.01;95%CI,0.91-1.12)。只有 543 名病例患者(2.0%)在诊断后进入更贫困的地区;与对照组相比,精神病患者更有可能属于这种轨迹(OR,1.38;95%CI,1.16-1.65)或仍然处于最贫困的轨迹(OR,1.36;95%CI,1.24-1.48)。非精神病性双相情感障碍和贫困方面也存在类似的模式,但人口密度方面的模式较弱。
在这项病例对照研究中,在成长过程中接触更多的贫困与严重精神疾病风险增加有关,但向上的流动性减轻了这种关联。患有严重精神疾病的人在诊断后仍然不成比例地居住在更贫困的地区,这突出了社会流动性不足的问题。应根据需要在贫困地区有针对性地进行预防和治疗。