Gender differences in the association between childhood maltreatment and the onset of major depressive disorder

BACKGROUND

Childhood maltreatment is widely acknowledged as a risk factor for developing major depressive disorders (MDDs) in adulthood. However, the influence of gender on age at MDD onset and the relationships between various forms of maltreatment remain unclear.

AIMS

This study aimed to evaluate the effect of gender on the relationship between childhood maltreatment and depressive disorder onset with regard to maltreatment severity, age at onset, and the correlation between different forms of maltreatment.

METHODS

Data for this study were derived from the Objective Diagnostic Marker and Personalized Intervention in MDD Patients (ODMPIM) study, a multi-center collaborative research project. The data used here include 1001 patients diagnosed with depressive disorder and 494 healthy participants. Childhood maltreatment levels were assessed using the Childhood Trauma Questionnaire-Short Form (CTQ-SF).

RESULTS

Emotional abuse was correlated with physical abuse, and emotional neglect was correlated with physical neglect in the MDD patient population. Emotional abuse significantly contributed to early onset of MDD in both genders. Regarding gender differences, male patients with MDD experienced more severe physical abuse during childhood. The correlation between childhood sexual abuse and physical abuse was stronger among males than among females. Levels of physical abuse and neglect tended to be positively associated with the age of MDD onset. Gender is a moderator in the relationship between MDD onset age and childhood physical abuse or neglect.

CONCLUSIONS

Gender plays a role in certain aspects of the relationship between MDD and childhood maltreatment.

Prediction of depression onset risk among middle-aged and elderly adults using machine learning and Canadian Longitudinal Study on Aging cohort

BACKGROUND

Early identification of the middle-aged and elderly people with high risk of developing depression disorder in the future and the full characterization of the associated risk factors are crucial for early interventions to prevent depression among the aging population.

METHODS

Canadian Longitudinal Study on Aging (CLSA) has collected comprehensive information, including psychological scales and other non-psychological measures, i.e., socioeconomic, environmental, health, lifestyle, cognitive function, personality, about its participants (30,097 subjects aged from 45 to 85) at baseline phase in 2012-2015. We applied machine learning models for the prediction of these participants' risk of depression onset approximately three years later using information collected at baseline phase.

RESULTS

Individual-level risk for future depression onset among CLSA participants can be accurately predicted, with an area under receiver operating characteristic curve (AUC) 0.791 ± 0.016, using all baseline information. We also found the 10-item Center for Epidemiological Studies Depression Scale coupled with age and sex information could achieve similar performance (AUC 0.764 ± 0.016). Furthermore, we identified existing subthreshold depression symptoms, emotional instability, low levels of life satisfaction, perceived health, and social support, and nutrition risk as the most important predictors for depression onset independent from psychological scales.

LIMITATIONS

Depression was based on self-reported doctor diagnosis and depression screening tool.

CONCLUSIONS

The identified risk factors will further improve our understanding of the depression onset among middle-aged and elderly population and the early identification of high-risk subjects is the first step for successful early interventions.

Association Between First Depressive Episode in the Same Year as Sexual Debut and Teenage Pregnancy

PURPOSE

This study aimed to examine whether the timing of depression onset relative to age at sexual debut is associated with teenage pregnancy.

METHODS

Using data from 1,025 adolescent girls who reported having had sex in the National Comorbidity Survey-Adolescent Supplement, we applied cox proportional hazards models to test whether depression onset before first sex, at the same age as first sex, or after first sex compared with no depression onset was associated with experiencing a first teenage pregnancy. We examined the unadjusted risk by depression status as well as risk adjusted for adolescents' race/ethnicity, marital status, poverty level, whether the adolescent lived in a metropolitan area, living status, age at first sex, parental education, and age of mother when the adolescent was born.

RESULTS

In both unadjusted and adjusted models, we found that adolescents with depression onset at the same age as having initiated sex were at an increased risk of experiencing a teenage pregnancy (unadjusted hazard ratio [HR] = 2.5, 95% confidence interval [CI]: 1.08-5.96; adjusted HR = 2.7, 95% CI: 1.15-6.34) compared with those with no depression onset. Moreover, compared with those with no depression onset, the risk of pregnancy for girls experiencing depression onset before first sex also increased but was not significant (adjusted HR = 1.5, 95% CI: .82-2.76).

CONCLUSIONS

Timing of first depressive episode relative to age at first sexual intercourse plays a critical role in determining the risk of teenage pregnancy. Timely diagnosis and treatment of depression may not only help adolescents' mental well-being but may also help them prevent teenage pregnancy.