Diurnal Cortisol Rhythms: Social Determinants and Role as a Risk, State or Scar Marker for Major Depressive Disorder in Youth

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Diurnal Cortisol Rhythms: Social Determinants and Role as a Risk, State or Scar Marker for Major Depressive Disorder in Youth Emma K. Adam Human Development and Social Policy, School of Education and Social Policy & Cells to Society Center Institute for Policy Research Northwestern University

General Research Question How everyday social and emotional experiences get under the skin to influence biology, health and developmental outcomes?

Socioeconomic and Policy Environment Chronic Social and Emotional Stress: Social Isolation, Interpersonal Conflict, Loss, Violence Exposure, Discrimination Ongoing Supports/Buffers: Community and Family Supports Individual Coping Resources Daily Social and Emotional Experiences, Daily Activities Physiological Stress System Activity (HPA axis) Sleep Processes Disparities in: Emotional Health Physical Health Academic Outcomes

Cortisol Diurnal Rhythm and its Markers Slope = average rate of decline from wakeup to bedtime (w/o CAR) CAR = wakeup + 40 min minus wakeup cortisol AUC = area under curve across waking day Reactivity Reactivity = cortisol higher than expected for that time of day for that person

Different Cortisol Parameters: Measure distinct aspect of cortisol activity Are differentially influenced by psychosocial events Are differentially related to developmental and health outcomes Are potentially regulated by different neurobiological pathways and have different neurobiological impacts May change over differing time scales Will illustrate with examples from my study of the development of major depressive disorder in youth

Youth Emotion Project Longitudinal study of factors contributing to the emergence of emotional disorders over the transition to adulthood Youth oversampled for risk for emotional disorder based on high levels of neuroticism Diverse sample recruited age 17, followed for 4 + years Full study: N=627 Cortisol study: N=300

Measures (repeated yearly) HPA axis activity / cortisol Salivary cortisol, 6x per day for 3 days Momentary and daily stress ESM diary method, 6x per day for 3 days Chronic and Episodic Life Stress Hammen s s Life Stress Interview Psychopathology SCID diagnostic interview DSM IV diagnoses of Mood and Anxiety Disorders and Comorbid Mood and Anxiety Sleep Timing and Quality via Actigraphy

Data Overview (Cross-sectional sectional Models) Wave 1 Wave 2 Wave 3 Wave 4 Life stress Life stress Life stress Life stress Sleep Sleep Sleep Sleep Cortisol Cortisol Cortisol Cortisol Emotional Disorder Emotional Disorder Emotional Disorder Emotional Disorder

Loneliness and Cortisol (Doane & Adam, 2010, PNEC, 35, 430-441) To what degree are state (momentary and daily) and trait (typical) experiences of loneliness related to cortisol levels? Three Level Hierarchical Linear Growth Models Level 1: Momentary Cortisol and Emotions Level 2: Day Level Predictors Level 3: Person Level Predictors and Covariates

Dependent variable: momentary cortisol Cortisol Concentration CAR Youth with high levels of chronic interpersonal life stress Higher level of momentary cortisol when higher momentary loneliness 6.8% Waketime Time of Day Bedtime

Higher Levels of loneliness the day before Cortisol Concentration CAR.231 Youth with increased levels of loneliness the day before have 26% greater CAR the next morning Waketime Time of Day Bedtime Doane, Adam et al., 2010, PNEC (replicates Adam et al., 2007, PNAS)

Flatter diurnal rhythm for youth with high levels of trait loneliness Cortisol (μg/dl) 0.6 0.5 0.4 0.3 0.2 0.1 0 Wake Up Wake Up+30 Beep 1 Beep2 Beep3 Bedtime Youth with avg. levels of Trait Loneliness Youth with 1SD higher levels of Trait Loneliness Time of Day

Diurnal Rhythm by Psychopathology 0.5 Cortisol (μg/dl) 0.4 0.3 0.2 0.1 No Psychopathology C. CoMorbid 0 Wake Up Beep 1 Beep2 Beep3 Bedtime Time of Day

Psychopathology and Affective Experiences Z-Scores of Strain Variables 0.8 1 0.6 0.4 0.2 0-0.2-0.4-0.6-0.8-1 No Disorder Mood Disorder Anxiety Disorder Doane, Adam, et al., Submitted CoMorbid Disorder Negative Emotion Chronic Stress Episodic Stress Neuroticism Differences in affect and stress mediate associations between current MDD and cortisol slpes Flatter slope = state marker?

Diurnal Rhythm by Past MDD Cortisol (μg/dl) 0.6 0.5 0.4 0.3 0.2 0.1 0 Wake Up Wake Up+30 Beep 1 Beep2 Time of Day Beep3 Bedtime Youth without MDD Youth with MDD -Not explained by current affective experience =SCAR MARKER?

Data Overview (Longitudinal Models) Wave 1 Wave 2 Wave 3 Wave 4 Life stress Life stress Life stress Life stress Sleep Sleep Sleep Sleep Cortisol Cortisol Cortisol Cortisol Emotional Disorder Emotional Disorder Emotional Disorder Emotional Disorder

Longitudinal Prediction of New Cases of Mood Disorders Negative Emotion on Days of Cortisol Testing Chronic Relationship Stress β p-value Exp(β).675.053 1.965.198 n.s. 1.219 Episodic Stress.910.011 2.485 Neuroticism.740 n.s. 2.097 CAR 1.217.041 3.378 Cortisol AUC.478 n.s. 1.612 Independent predictors of new onset of mood disorders 1.5 years later: T1 Negative Emotion on Days of Cortisol Testing (<.10) T1 Episodic Stress (Life Events) (<.05) T1 Cortisol Awakening Response (<.05) Cortisol Slope -.700 n.s..497 Also controlling for caffeine, nicotine, birth control use, race/ethnicity, SES, age, gender, % of time alone

Figure 1. Baseline diurnal cortisol profiles of participants who do (dashed line) and do not (solid line) go on to develop an episode MDD over the following year. 0.70 0.60 MDD Status Over Followup No MDD MDD Baseline Cortisol Level 0.50 0.40 0.30 0.20 High CAR= Risk Marker? 0.10 0.00 Wake +40 Min +3 Hrs +8 Hrs +12 Hrs Bedtime Time of Sampling Adam et al. (In press), Psychoneuroendocrinology.

Survival Analysis Adam, Vrshek-Schallhorn, in prep.

Key Points Multiple markers/indices of cortisol exist, defined by variations in the diurnal pattern Different cortisol markers mean different things In relation to MDD, my research suggests: Flatter diurnal cortisol slope = state and scar Higher cortisol awakening respones = risk HPA axis function dynamically changes with age, current stress, and illness stage Need longitudinal, developmental data and a nuanced understanding of a system in order to understand the role of a particular marker/system in the etiology of disorder

Multiple Influences on Cortisol Parameters Historical Influences Prenatal and Early Postnatal Organizational Influences Current HPA Axis Functioning (As Indexed by Cortisol Activity) Wakeup Level Bedtime Level Average Level Diurnal Slope Amplitude of Reactivity to Stressors Current Influences Recent/Immediate Emotional and Cognitive State Current Functioning of Related Physiological and Neurological Systems Childhood History of Stress, Support, and Trauma Physical, Mental Health, and Lifestyle History Amplitude of Response to Awakening Efficiency of Negative Feedback and Stress Recovery Variability Within and Across Days Current Psychopathology Current Physical Health And Lifestyle Factors Recent/Immediate Environmental Stresses and Supports = Social Influences Temperament/Personality, Gender, and Genetic Variations Moderating Factors Adam et al., 2007

Collaborators Thanks to Sue Mineka, Rick Zinbarg, Michelle Craske Leah Doane, Amy DeSantis, Suzanne Vrshek-Schallhorn John Cacioppo, Louise Hawkley, Brigitte Kudielka Participants Stress in the Working Family Study Participants Youth Emotion Project Participants CHASRS participants Funders National Institute of Mental Health National Institute on Aging National Institute of Child Health & Human Development National Academy of Education Alfred P. Sloan Foundation Spencer Foundation W.T. Grant Foundation

Extra Slides For Q and A Three Level Model Level 1: Cortisol = 0 0 + 1Time Since Waking + 2Time Since Waking2 + 3 CAR + e Level 2: 0 0 to 3 3 = bi0 + bij Prior Day Experience + bijsame Day Experiences + bijday Level Controls + rij Level 3: bi0 to bij = gij0 + gijkperson Level Controls + gijkaverage Experiences + uijk

Diurnal Rhythm by Psychopathology (Wave 1, Cross-sectional) sectional) 0.6 0.5 No Psychopathology Cortisol (μg/dl) 0.4 0.3 0.2 0.1 0 Wake Up Beep 1 Beep2 Beep3 Bedtime C. Affective C.Anxiety C. CoMorbid Time of Day

Cortisol Slopes with Psychopathology and Emotional Strain Variables (simple correlations) Correlations with Slopes Pearson r p-value Current Mood.032 n.s. Current Anxious.023 n.s. Current CoMorbid.183.005 ChronicRelStress.156.016 Episodic Stress.151.020 High Neuroticism.174.008 ESM Negative Emotion.207.001

Diurnal Rhythm by Cumulative Emotional Strain 0.5 Cortisol Levels 0.4 0.3 0.2 0.1 No Strains 1 Strain 2 Strains 3+ Strains 0 WakeUp Beep1 Beep2 Beep3 Bedtime Time of Day Dramatic flattening with 3 out of 4 of: high chronic relationship strain, high recent life stress, high neuroticism, and high state negative affect

Figure 2. Baseline diurnal cortisol profiles of Ps who do (dashed lines) and do not (solid line) develop an episode MDD over the following year, differentiating initial onsets of MDD (dark dashed line) and recurrences (light dashed line). 0.70 0.60 MDD Status Over Followup None New MDD Recurrent MDD Baseline Cortisol Levels 0.50 0.40 0.30 0.20 0.10 0.00 Wake +40 Min +3 Hrs +8 Hrs +12 Hrs Bedtime Time of Sampling

Current Depression if anything is associated with a low CAR

Relationships among Strain and Psychopathology Variables (1) (2) (3) (4) (5) (6) (7) Mood 1 -.011 -.091.165.045.047.069 Anxiety 1 -.112.127.052.140.163 CoMorbid 1.299.126.342.154 Chronic 1.215.220.155 Episodic 1.221.09 ESM Negative 1.277 Neuroticism 1

Intercorrelations Among Cortisol Indices (1) (2) (3) CAR 1.298.280 AUC.298 1.413 Slope.280.413 1

Cortisol Parameters and Cardiovascular Risk Waist/Hip Ratio HDL Cholesterol Total/HDL Cholesterol > Cortisol Awakening Response Flatter Cortisol Slope.29 -.25.25.28 -.24.25 Controlling for age, SES, smoking, alcohol, time of awakening Steptoe et al., 2004 Central Adiposity and Cortisol Responses to Awakening

Cortisol Slopes and Breast Cancer Survival Sephton, Sapolsky, Kraemer, Spiegel, (2000) Journal of the National Cancer Institute, 92 (12), 994-1000