Mage=40.00, SD=14.10; 85% Caucasian; 4% African American; 4% Hispanic; 2% Asian; 1%

Night noise exposure and risk of death by suicide in adults living in metropolitan areas

NHIS-2016-2-0081, we identified 746816 adults aged>=20

Sedentary behaviors, physical activity, and changes in depression and psychological distress symptoms in older adults

by 2614 individuals aged>=60 year s selectedbetween2008
enn 21 73 00 59 07 48 13 03 88 97 98 18 irsve lcoo teom llfyu frson sa te M n=4
SBs display 0.34 less GDS symptoms compared those who spend<1.3

Replicating latent structural models of psychopathology: Reply to Kotov, Ruggero, Krueger, Watson, and Zimmerman (2018)

The perils of hierarchical exclusion rules: A further word of caution

Comparative responsiveness of generic versus disorder-specific instruments for depression: An assessment in three longitudinal datasets

supporting information table c presents pearson correlation coefficient
supporting information table e presents correlation coefficient

The accuracy of passive phone sensors in predicting daily mood

gee model extend generalised linear model
decision tree model across many bootstrapped
first order autoregressive working correlation
correlation plot of pairwise spearman correlation

The prevalence and predictors of mental health diagnoses and suicide among U.S. college students: Implications for addressing disparities in service use

reporting 1-2 stressful events OR odds ratio range=1.6-2.6, CI confidence interval=1.2-3.2

Differences between chronic and nonchronic depression: Systematic review and implications for treatment

Validity of the DSM-5 anxious distress specifier for major depressive disorder

widowed separated divorced never married 2 group test

n=57 No. % Gender Male 53 Female 143 Transgender 7

Shortening self-report mental health symptom measures through optimal test assembly methods: Development and validation of the Patient Health Questionnaire-Depression-4

robust weighted least squares estimation
single factor confirmatory factor analysis model
department of veterans epidemiology merit review