Gene–environment (GxE) interactions may comprise an important part of the aetiology of depression, and childhood maltreatment (CM), a significant stressor, has consistently been linked to depression. Hence, in this systematic review, we aimed to investigate the interaction between hypothalamus–pituitary–adrenal axis (HPA-axis) genes and CM in depression.

We conducted a literature search using the Pubmed, Embase, and PsychINFO databases in adherence with the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines. We included studies investigating GxE interactions between HPA-axis genes [Angiotensin Converting Enzyme (ACE), Arginine Vasopressin (AVP), Corticotrophin Releasing Hormone (CRH), Corticotrophin Releasing Hormone Receptor 1 (CRHR1), Corticotrophin Releasing Hormone Receptor 2 (CRHR2), FK506 binding protein (FKBP5), Nuclear Receptor subfamily 3 group C member 1 (NR3C1), Nuclear Receptor subfamily 3 group C member 2 (NR3C2)] and CM in depression.

The literature search identified 159 potentially relevant studies. Following screening, 138 of these were excluded. Thus, 21 studies, investigating a total of 51 single nucleotide polymorphisms, were included in the final study. The most prevalent genes in the current study were CRHR1 and FKBP5. Significant GxE interactions were reported in seven of eight studies for CRHR1:rs110402 and CM, and in five of eight studies for FKBP5:rs1360780 and CM. In summary, our results suggest possible GxE interactions between CRHR1, FKBP5, NR3C1, and NR3C2 and CM, respectively. For the remaining genes, no relevant literature emerged.

We find that genetic variation in four HPA-axis genes may influence the effects of CM in depression.

Depression is a disorder caused by genetics and environmental factors. The aim of this study was to perform a review investigating the interaction between genetic variations located in genes involved in hypothalamus–pituitary–adrenal axis (HPA-axis) and stressful life events (SLEs) in depression.

In this systematic review, we selected articles investigating the interaction between genes involved in the HPA-axis, such as Arginine Vasopressin (AVP), Angiotensin Converting Enzyme (ACE), Corticotrophin Releasing Hormone (CRH), Corticotrophin Releasing Hormone Receptor 1 (CRHR1), Corticotrophin Releasing Hormone Receptor 2 (CRHR2), FK506 binding protein (FKBP5), Nuclear Receptor subfamily 3 group C member 1 (NR3C1), Nuclear Receptor subfamily 3 group C member 2 (NR3C2), and SLE. The literature search was conducted using the Pubmed, Embase, and PsychINFO databases in adherence with the PRISMA guidelines.

The search yielded 48 potentially relevant studies, of which 40 were excluded following screening. Eight studies were included in the final review. A total of 97 single nucleotide polymorphisms (SNPs) were examined in the eight included studies. The most prevalent gene was FKBP5, and the best studied polymorphism was FKBP5:rs1360780. Two of the five studies reported significant gene–environment (G × E) interactions between rs1360780 and SLE. Overall, four studies reported significant G × E interactions between FKBP5, CRH, or CRHR1 and SLE, respectively. No significant G × E interactions were found for the remaining genes.

Our results suggest that genetic variation in three genes in the HPA-axis possibly moderate the effects of SLEs in depression.

The use of specialised psychiatric services for depression and anxiety has increased steadily among young people in Sweden during recent years. It is not known to what extent this service use is due to an increase in psychiatric morbidity, or whether other adversities explain these trends. The aim of this study is to examine if there is increased use of psychiatric services among young adults in Sweden between 2000 and 2010, and if so, to what extent this increase is associated with differences in depression, anxiety and negative life events.

This is a repeated cross-sectional study of 20–30-year old men and women in Stockholm County in 2000 and 2010 (n = 2590 and n = 1120). Log-binomial regression analyses were conducted to compare the prevalence of service use, depression and panic disorder between the two cohorts. Self-reported life events were entered individually and as a summary index, and entered as potential mediators. Different effects of life events on service use were examined through interaction analysis. We report prevalence proportion ratios (PPR) with 95% confidence intervals.

Specialised psychiatric service use, but also depression and panic disorder was more common in the younger cohort (current service use 2.4 and 5.0%). The younger cohort did not report more life events overall or among those with depression or anxiety. Neither depression, panic disorder nor life events could explain the increased use of psychiatric services in the younger cohort (Fully adjusted model PPR = 1.70, 1.20–2.40 95% CI). There was no significant interaction between cohort and life events in predicting psychiatric service use.

This study provides initial support for an increase in service use among young adults compared with 10 years earlier. The increased service use cannot be explained with increasing worse life situations.

We aimed to study the occurrence and predictors of medical students' mental health problems that required treatment.

Medical students from all Norwegian universities (N = 421) were surveyed in their first term (T1), and 3 (T2) and 6 (T3) years later. The dependent variable was “Mental health problems in need of treatment”. Predictor variables included personality traits, medical school stress and negative life events.

The lifetime prevalence of mental health problems was 15% at T1. At T2, of the 31% who reported problems during the first 3 years, a majority had not sought help. At T3, 14% reported problems during the preceding year. Adjusted predictors of problems at T2 were previous mental health problems (p < .001), low level of intensity personality trait (extraversion) (p < .01), reality weakness personality trait (p < .01), perceived medical school stress (p < .05) and negative life events (p < .05).

Mental health problems during the first 3 years were predicted by previous problems, personality, medical school stress and negative life events.

A third of the students reported mental health problems during the first 3 years. Intervention should focus on both individual problems and contextual stress.