Teen childbearing and offspring internalizing symptoms: The mediating role of child maltreatment.

Teenage childbearing (age 15-19 years) represents a significant public health issue that can generate considerable deleterious, multigenerational consequences for teen-childbearing mothers and their offspring. However, few studies have examined the potential mediating mechanisms that may explain if and how teen childbearing is associated with the development of offspring psychopathology. The current study used a developmental model to test the mediating role of chronic child maltreatment in the relationship between teen childbearing and offspring internalizing symptoms in childhood and emerging adulthood.

Perceived Control Mediates Effects of Socioeconomic Status and Chronic Stress on Physical Frailty: Findings From the Health and Retirement Study.

Objective: To investigate the psychosocial etiology of physical frailty by examining the influence of chronic stress and perceived control.

Method: Using population-based samples of older adults from the Health and Retirement Study, this study employed structural equation modeling in cross-sectional (N = 5,250) and longitudinal (N = 2,013) samples to estimate the effects of chronic stress and socioeconomic status (SES) on baseline frailty and change in frailty status over 4 years and the extent to which perceived control mediates or moderates effects of chronic stress.

Results: Perceived control fully mediated effects of chronic stress and partially mediated effects of SES on both baseline frailty and change in frailty.

Predictors of older adults' technology use and its relationship to depressive symptoms and well-being.

Objective: To extend the empirical evidence regarding the predictors of older adults' use of information and communications technology (ICT) and to further examine its relationship to depressive symptoms and well-being.

Method: This cross-sectional study utilized a sample of community-dwelling older adults from the National Health and Aging Trends Study (N = 6,443). Structural equation modeling was used to estimate the effects of predictor variables on ICT use and the effects of use on depressive symptoms and well-being.