Sørensen Christine Leonhard Birk, Plana-Ripoll Oleguer, Bültmann Ute, Winding Trine Nøhr, Steen Pernille Bach, Biering Karin
Department of Occupational Medicine, Gødstrup Hospital, Herning, Denmark.
Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark.
Epidemiol Psychiatr Sci. 2025 Jun 20;34:e33. doi: 10.1017/S2045796025100073.
This study aims to examine the different aspects of socio-economic status (SES) patterns in mental health from adolescence into adulthood by investigating the mean, prevalence, cumulative incidence and trajectories of several mental health measures, including depressive symptoms, mental disorder diagnosis and medication use. The different aspects of SES are investigated through the measures of subjective social status (SSS) in school, SSS in society, income and parental educational level.
Individuals born in 1989 were followed from 2004 to 2021 with surveys at ages 15, 18, 21, 28 and 32 years, supplied with yearly register data. The mean level of depressive symptoms, yearly prevalence of medication use and cumulative incidence of mental disorder diagnosis were calculated for each SES group (low, middle and high) across each measure. Group-Based Trajectory Modelling (GBTM) was used to identify depressive symptom trajectories and logistic regressions were used to analyse the relative odds ratios (ROR) of membership to the different trajectory groups by characteristics.
Individuals with low SES at age 15 years across all SES measures showed higher mean depressive symptoms, prevalence of medication use and cumulative incidence of mental disorder diagnosis through adolescence and adulthood (age 15-32 years). Four depressive symptom trajectories were identified: low stable, moderate stable, decreasing and increasing trajectories. Being female, receiving medication or a mental disorder diagnosis in early adulthood and during the study period, having low SSS in school, parents not living together, being bullied, lacking support from teachers or classmates, lower levels of parents' support or higher school pressure resulted in higher RORs of membership to the other trajectory groups compared to the low stable trajectory, while having high SSS in society resulted in a lower ROR.
This is the first study to detect the role of social support in relation to depressive symptom trajectories. While individuals with low social status consistently experienced more negative mental health outcomes than those with middle and high social status in the study period (age 15-32 years), low SSS showed the strongest associations. This indicates that SSS may capture vulnerable individuals not identified by traditional SES. Being female, having low SES, low social support, and other mental health outcomes were associated with higher odds of being in trajectories with more depressive symptoms. Preventive initiatives should therefore target individuals with such characteristics. It is worth exploring whether adolescents with increasing depressive symptoms could benefit from increased social support.
本研究旨在通过调查包括抑郁症状、精神障碍诊断和药物使用在内的多种心理健康指标的均值、患病率、累积发病率和轨迹,来考察从青少年到成年期心理健康方面社会经济地位(SES)模式的不同维度。SES的不同维度通过学校主观社会地位(SSS)、社会SSS、收入和父母教育水平等指标进行调查。
对1989年出生的个体从2004年至2021年进行随访,在其15岁、18岁、21岁、28岁和32岁时进行调查,并提供年度登记数据。计算每个SES组(低、中、高)在每项指标上抑郁症状的平均水平、药物使用的年患病率和精神障碍诊断的累积发病率。采用基于群体的轨迹建模(GBTM)来识别抑郁症状轨迹,并使用逻辑回归分析不同轨迹组成员基于特征的相对优势比(ROR)。
在所有SES指标中,15岁时SES较低的个体在整个青少年期和成年期(15 - 32岁)表现出更高的抑郁症状平均水平、药物使用患病率和精神障碍诊断累积发病率。识别出四种抑郁症状轨迹:低稳定型、中度稳定型、下降型和上升型。与低稳定轨迹相比,女性、在成年早期和研究期间接受药物治疗或精神障碍诊断、在学校的SSS较低、父母不共同生活、遭受欺凌、缺乏教师或同学的支持、父母支持水平较低或学校压力较大,会导致属于其他轨迹组的ROR更高,而在社会中的SSS较高则会导致ROR较低。
这是第一项检测社会支持与抑郁症状轨迹关系的研究。在研究期间(15 - 32岁),社会地位较低的个体始终比社会地位中等和较高的个体经历更多负面心理健康结果,其中低SSS显示出最强的关联。这表明SSS可能识别出传统SES未识别出的脆弱个体。女性、SES较低、社会支持较低以及其他心理健康结果与处于抑郁症状较多轨迹的较高几率相关。因此,预防措施应针对具有此类特征的个体。值得探讨抑郁症状不断增加的青少年是否能从增加社会支持中受益。