Long-term Stressful Life Events Research Articles

Associations between long-term and near-term stressful life events, suicide crisis syndrome, and suicidal ideation.

Associations between long-term and near-term stressful life events, suicide crisis syndrome, and suicidal ideation.

Supplemental Material for Associations Between Long-Term and Near-Term Stressful Life Events, Suicide Crisis Syndrome, and Suicidal Ideation

Supplemental Material for Associations Between Long-Term and Near-Term Stressful Life Events, Suicide Crisis Syndrome, and Suicidal Ideation

The pattern of stressful life events prior to suicide among the older adults in rural China: a national case-control psychological autopsy study

BackgroundThere is a lack of evidence concerning the stressful life events experienced prior to suicide which may be associated with an increased suicide risk among Chinese rural older adults. The aim of this study was to identify the pattern of stressful life events prior to suicide among the older adults in China.MethodsTwelve counties were randomly selected using two-stage stratified cluster sampling method. Suicide cases aged 60 years and older (n = 242) were collected from those counties from June 2014 to September 2015. Matched living controls were selected 1:1 with suicide cases by age, gender, and location. Data were collected using face-to-face interviews by a psychological autopsy method. The Life Event Scale for the Elderly was used to measure the stressful life events prior to suicide/interviews.ResultsApproximately 99.6% of suicide cases and 88.4% of controls experienced at least one stressful life event. The suicide group experienced more long-term stressful life events than recent stressful life events. The top three most frequent stressful life events for the suicide group were being diagnosed with chronic disease, hospitalization, and being diagnosed with terminal illness. More female suicide cases experienced the death of a spouse, while more males experienced hospitalization, diagnosis with terminal illness and family poverty. Experiencing at least one stressful life event, an unstable marital status, physical diseases and mental disorders were shown to increase the risk of suicide.ConclusionsStressful life events were common for the rural older adults, especially long-term stressful life events. The experience of at least one stressful life event can increase suicide risk among this population. More attention should be paid to the rural older adults who experienced more long-term stressful life events and health related life events.

Predicting attention-deficit/hyperactivity disorder severity from psychosocial stress and stress-response genes: a random forest regression approach

Identifying genetic variants contributing to attention-deficit/hyperactivity disorder (ADHD) is complicated by the involvement of numerous common genetic variants with small effects, interacting with each other as well as with environmental factors, such as stress exposure. Random forest regression is well suited to explore this complexity, as it allows for the analysis of many predictors simultaneously, taking into account any higher-order interactions among them. Using random forest regression, we predicted ADHD severity, measured by Conners’ Parent Rating Scales, from 686 adolescents and young adults (of which 281 were diagnosed with ADHD). The analysis included 17 374 single-nucleotide polymorphisms (SNPs) across 29 genes previously linked to hypothalamic–pituitary–adrenal (HPA) axis activity, together with information on exposure to 24 individual long-term difficulties or stressful life events. The model explained 12.5% of variance in ADHD severity. The most important SNP, which also showed the strongest interaction with stress exposure, was located in a region regulating the expression of telomerase reverse transcriptase (TERT). Other high-ranking SNPs were found in or near NPSR1, ESR1, GABRA6, PER3, NR3C2 and DRD4. Chronic stressors were more influential than single, severe, life events. Top hits were partly shared with conduct problems. We conclude that random forest regression may be used to investigate how multiple genetic and environmental factors jointly contribute to ADHD. It is able to implicate novel SNPs of interest, interacting with stress exposure, and may explain inconsistent findings in ADHD genetics. This exploratory approach may be best combined with more hypothesis-driven research; top predictors and their interactions with one another should be replicated in independent samples.