Intern Health Study

Study Overview
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Brief Summary
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Retrospective studies have established a strong correlation between reports of life stress and depression. Investigators have begun to further explore this relationship by examining the role of gene x stress interactions in the pathogenesis of depression. In a recent landmark study, Caspi and colleagues (2003) reported an interaction between a serotonin transporter promoter polymorphism and life stress in the development of depression. This finding has been replicated in some but not all follow up studies. Despite the initial promise of these results, the ability to draw definitive conclusions is compromised by significant study design limitations: 1) retrospective design 2) a focus on acute rather than chronic stress 3) substantial variation in the character and intensity of stress between subjects. Medical internship is a period filled with predictable and high levels of chronic uncontrolled stress. Rates of depression among interns are elevated compared to the general population. In this study, we aim to utilize the predictable and consistent stress of internship to investigate the relationship between stress, genes and depression with a prospective study design that bypasses some of the pitfalls of previous studies.

Detailed Description
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Specific Aims Retrospective studies have established a strong correlation between reports of life stress and depression. Investigators have begun to further explore this relationship by examining the role of gene x stress interactions in the pathogenesis of depression. In a recent landmark study, Caspi and colleagues (2003) reported an interaction between a serotonin transporter promoter polymorphism and life stress in the development of depression. This finding has been replicated in some but not all follow up studies. Despite the initial promise of these results, the ability to draw definitive conclusions is compromised by significant study design limitations: 1) retrospective design 2) a focus on acute rather than chronic stress 3) substantial variation in the character and intensity of stress between subjects. Medical internship is a period filled with predictable and high levels of chronic uncontrolled stress. Rates of depression among interns are elevated compared to the general population. In this study, we aim to utilize the predictable and consistent stress of internship to investigate the relationship between stress, genes and depression with a prospective study design that bypasses some of the pitfalls of previous studies. Goal 1) Assess the prevalence and development of depression among medical interns Although small studies have assessed the point prevalence of depression among medical residents, no study has prospectively followed the development of depressive symptoms through residency. We will collect baseline psychological profiles of incoming interns prior to the commencement of residency duties and subsequently assess for depressive symptoms at 3-month intervals throughout internship. This data will allow us to: Assess the point prevalence of depression among interns in a large sample. Determine the change in depressive symptoms through the course of the intern year Evaluate stable psychological factors that associate with the development of depression in the face of life stress. Goal 2) Evaluate the presence of genotype x stress interaction among this sample There is conflicting evidence concerning the presence of an interaction between the serotonin transporter promoter polymorphism (5-HTTLPR) and life stress in the development of depression. We will assess the presence and strength of this interaction in the sample of medical interns using a study design that avoids many of the pitfalls affecting previous studies. We will explore novel putative interactions between stress and genetic variants in additional genes including BDNF, CRH, COMT, serotonin 1A and serotonin 2A receptor variants in the development of depression. Goal 3) Evaluate the relationship between serum endothelial and immune factors and the development of depressive symptoms under stress. The identification biomarkers that predict the onset of depression can facilitate more timely and accurate identification of individuals at high risk for the disorder. Unfortunately appropriate studies are lacking, largely because it is difficult to know exactly when a depressive episode will occur. Medical internship represents a rare situation where we can prospectively predict when a cohort of individuals shift will shift from a low stress environment to a high stress environment and thus predict when this cohort will experience a dramatic increase in depressive symptoms. Goal 4) Examine the temporal relationship between hair cortisol levels, stress exposure and development of depressive symptoms.A novel technique allows us to assess chronic HPA axis activity by measuring cortisol in the growing hair, providing an integrated measure of total cortisol secretion over extended periods of time (1-3 months). By incorporating this novel method into an established longitudinal study of a chronic stressor that dramatically increases rates of depression, we have a unique opportunity to determine a) whether cortisol levels prior to stress exposure predict risk of depression in response to the stressor (b) whether cortisol rise in response to stress exposure precedes and perhaps contributes to development of depressive symptoms or whether cortisol elevations in depression develop after symptom onset and perhaps reflect a consequence of depression.

Official Title
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Investigation Into the Interaction Between Genes and Stress in the Etiology of Depression in Interns

Conditions
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Depression

Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: Subjects for our study will be drawn from incoming interns in the traditional and primary care internal medicine, general surgery, pediatrics, obstetrics/gynecology, neurology and psychiatry residency programs at participating University and Community residency programs, as well as fourth year medical students at participating medical schools. Exclusion Criteria: None.
Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| 2020<br> | |
| 2019<br> | |
| 2018<br> | |
| 2017<br> | |
| 2016<br> | |
| 2015<br> | |
| 2014<br> | |
| 2013<br> | |
| 2012<br> | |
| 2011<br> | |
| 2010<br> | |
| 2009<br> | |
| 2008<br> | |
| 2007<br> | |
| 2021<br> | |
| 2022<br> | |
| 2023<br> | |
| 2024<br> | |
| 2025<br> | |
| 2026<br> | |

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Assess the change in rates of depression among medical interns. | The point prevalence of depression at various points through internship will be determined using subject responses to DSM-IV major depression items at the 0, 3-month, 6-month and 12-month assessments. To investigate whether there is a significant change in depressive symptoms through intern year, the investigators will compare PHQ (baseline) and PHQ (6 month) depression scores through a paired T-test. The effect of baseline psychological traits (neuroticism, resilience, personal history of depression, family history of depression, early family environment, social supports) on the development of depression will also be explored through linear regression analyses with each of the psychological factors as independent variables and PHQ (change) [PHQ (6 month) - PHQ (baseline)] as the dependent variable. The investigators will use linear regression to investigate correlations between training program characteristics (average work hours, specialty) and PHQ (change). | Months 0, 3, 6, and 12 of Intern Year | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Evaluate the presence of genotype x stress interaction among this sample. | As a baseline analysis, the investigators will investigate association between each variant/haplotype and PHQ (baseline) scores using linear regression. To explore gene x environment interactions, the investigators will assess for association between each variant/haplotype and PHQ change scores (Mean (3,6,9 and 12 month PHQ score) - Baseline (PHQ score)). | Sample within first 6 months of Intern Year (Because DNA sequence generally does not change with time, the exact timing of sample collection is not critical to the analysis) | 
| Evaluate the relationship between serum factors and changes in depressive symptoms under stress. | For each of the proteins assessed (IL-1beta, IL-6, IL-10, hs-CRP and TNF-alpha), Pearson correlation will be used to assess the relationship between serum and saliva levels. The investigators will assess whether there is a significant change in the serum levels of endothelial and inflammatory markers and endothelial function using a within-subject paired T-test, with baseline values (low stress) paired with internship stress values (high stress). To assess whether the change in endothelial and inflammatory markers correlate with a change in depressive symptoms, the investigators will utilize a linear regression, with the change in marker level used as explanatory variables and the change in depressive symptoms score (PHQ (change) = mean residency depressive symptoms - baseline depressive symptoms) used as the outcome variable | Months 0 and 10 of Intern Year | 
| Examine the temporal relationship between hair cortisol level changes, stress exposure and changes in depressive symptoms | Statistical analysis will be conducted using Generalized Estimating Equation (GEE) analysis. To assess whether there is a change in hair cortisol indices with internship stress, the investigators will perform a paired T-test, with pre-internship factor cortisol level paired with post-internship factor cortisol level. To determine the relationship between hair-related factors (hair color, hair treatment, washing frequency), transient mediating factors (work hours, outside stressful life events, recent exercise, sleep and illness), long-term mediating factors (BMI, regular exercise schedule, smoking behavior) and long-term cortisol, the investigators will assess whether the difference in level of these factors between the two assessments shows a significant correlation with the difference in cortisol level. Next, the investigators will identify whether that change in hair cortisol is associated with the change in depressive symptoms while accounting for related variables. | Months 0, 4, 8, 12 of Intern Year |