Lacey Rebecca E, Pinto Pereira Snehal M, Li Leah, Danese Andrea
Research Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 6BT, United Kingdom.
Population, Policy and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, London, 30 Guilford Street, WC1N 1EH, United Kingdom.
Brain Behav Immun. 2020 Jul;87:820-830. doi: 10.1016/j.bbi.2020.03.017. Epub 2020 Mar 19.
Adverse childhood experiences (ACEs) have long been known to be related to poorer health across the life course. Previous studies typically relied on cumulative risk scores or individual adversities measured through retrospective self-reports. However, these approaches have important limitations. Cumulative risk scores assume equal weighting of adversities and the single adversity approach ignores the high probability that adversities co-occur. In contrast, latent class analysis (LCA) offers an alternative approach to operationalise ACEs that respects the clustering of adversities and may identify specific patterns of ACEs important for health outcomes. Furthermore, prospective and retrospective reports of ACEs show poor agreement. Therefore, it is important to compare findings based on prospective and retrospective measures in the same individuals. Despite an increasing number of studies applying LCA to ACEs data, no studies have yet simultaneously investigated LCA to cumulative risk and single adversity approaches in their relationships with adult inflammation. Identifying the specific ACEs or combinations of ACEs which are strongly related to inflammation is important for investigating the mechanisms involved and the planning of effective interventions.
Using data on 8810 members of the 1958 British birth cohort we investigated 12 ACEs - physical, psychological and sexual abuse, physical and emotional neglect, parental mental health problems, witnessing abuse, parental conflict, parental divorce, parental offending, parental substance misuse and parental death. LCA was applied to explore the clustering of prospectively and retrospectively reported ACEs separately. Associations between latent classes, cumulative risk scores and individual adversities with three inflammatory markers (C-Reactive Protein, fibrinogen and von Willebrand Factor) were tested using linear regression.
There was co-occurrence between adversities, and particularly for retrospectively reported adversities. Three latent classes were identified in the prospective data - 'Low ACEs' (95.7%), 'Household dysfunction' (2.8%) and 'Parental loss' (1.5%) which were related to increased inflammation in mid-life, as were high ACE scores and individual measures of offending, death, divorce, physical neglect and family conflict. Four latent classes were identified in the retrospective data - 'Low ACEs', 'Parental mental health and substance misuse', 'Maltreatment and conflict' and 'Polyadversity.' The latter two (5.2%) were related to raised inflammation in mid-life, as was a retrospective ACE score of 4+ (8.3%) and individual measures of family conflict, psychological and physical abuse, emotional neglect and witnessing abuse.
Specific ACEs or ACE combinations might be important for chronic inflammation. LCA is an alternative approach to operationalising ACEs data but further research is needed.
长期以来,人们都知道童年不良经历(ACEs)与一生中较差的健康状况有关。以往的研究通常依赖于通过回顾性自我报告测量的累积风险分数或个体逆境。然而,这些方法有重要的局限性。累积风险分数假设各种逆境的权重相等,而单一逆境方法忽略了逆境同时发生的高概率。相比之下,潜在类别分析(LCA)提供了一种操作ACEs的替代方法,该方法尊重逆境的聚类情况,并可能识别出对健康结果很重要的特定ACEs模式。此外,ACEs的前瞻性和回顾性报告显示一致性较差。因此,在同一人群中比较基于前瞻性和回顾性测量的结果很重要。尽管越来越多的研究将LCA应用于ACEs数据,但尚无研究同时调查LCA与累积风险和单一逆境方法在与成人炎症关系方面的情况。确定与炎症密切相关的特定ACEs或ACEs组合对于研究其中涉及的机制和规划有效的干预措施很重要。
利用1958年英国出生队列中8810名成员的数据,我们调查了12种ACEs,即身体虐待、心理虐待、性虐待、身体忽视、情感忽视、父母心理健康问题、目睹虐待、父母冲突、父母离婚、父母犯罪、父母药物滥用和父母死亡。分别应用LCA来探索前瞻性和回顾性报告的ACEs的聚类情况。使用线性回归测试潜在类别、累积风险分数和个体逆境与三种炎症标志物(C反应蛋白、纤维蛋白原和血管性血友病因子)之间的关联。
各种逆境之间存在同时发生的情况,特别是回顾性报告的逆境。在前瞻性数据中识别出三个潜在类别——“低ACEs”(95.7%)、“家庭功能障碍”(2.8%)和“父母离世”(1.5%),这些类别与中年时期炎症增加有关,高ACE分数以及犯罪、死亡、离婚、身体忽视和家庭冲突的个体测量指标也与中年时期炎症增加有关。在回顾性数据中识别出四个潜在类别——“低ACEs”、“父母心理健康和药物滥用”、“虐待和冲突”以及“多重逆境”。后两个类别(5.2%)与中年时期炎症升高有关,回顾性ACE分数为4分及以上(8.3%)以及家庭冲突、心理和身体虐待、情感忽视和目睹虐待的个体测量指标也与中年时期炎症升高有关。
特定的ACEs或ACEs组合可能对慢性炎症很重要。LCA是操作ACEs数据的一种替代方法,但还需要进一步研究。