A randomized controlled trial to examine the impacts of disclosing personalized depression risk information on the outcomes of individuals who are at high risk of developing major depression: a research protocol

Table 1 The predictors in the sex-specific multivariable risk predictive algorithms for major depression

	Prediction Algorithm for Women	Prediction Algorithm for Men
Predictors that do not change with time	1. Age (continuous)	1. Age (continuous)
	2. Past major depressive episode (MDE)	2. Past major depressive episode
	3. Family history of MDE	3. Family history of MDE
	3. Family history of MDE	4. Physician diagnosed diabetes
	Childhood Trauma	Childhood Trauma
	4. Being traumatized for years	5. Being sent away from home
	5. Being sent away from home	6. Parents divorced
	5. Being sent away from home	7. Parents abused alcohol/drugs
Predictors that change with time	6. Annual personal income	8. Self-rated chronic stress
	7. Self-rated health	9. Others expect you too much
	8. Activity restrictions	10. Lack of money
	9. Satisfaction with oneself	11. Feeling everything is an effort
	10. Self-rated chronic stress	12. Took anti-depressants last month^a
	11. Others expect you too much	13. Took sleeping pills last month^a
	12. Family member in bad health	14. Being physically attacked in the past year
	13. Daily smoking	15. Partner had unwanted pregnancy in the past year
	14. Changed job for a worse one in the past year
	15. Major financial crisis in the past year
	16. Having depressed mood/lost of interest for 2 weeks in the past year
	17. Talked to health professionals for mental health issues in the past year. ^a

^aService and medication use indicate severity of stress, rather than increased risk

ISSN: 1471-244X