Predictors of stress and depressive mood in portuguese middle-aged women

This cross-sectional study investigates the predictors of psychological symptoms-stress and depressive mood-in a sample of middle-aged women. A community sample of 1,003 women filled in the questionnaires and instruments, which included the Depression, Anxiety and Stress Scales and the Life Events Survey; sociodemographic, health, and menopause-related and lifestyle information was also collected. Structural equation modeling was used to build the model that had stress and depressive mood as dependent variables. Health status (both physical and psychological), recent life events, income and menopausal phase were significantly associated with the frequency of stress and depressive symptoms. Additionally, educational level and parity were also significant predictors of depressive mood. This study emphasizes that psychological symptoms occurrence in midlife depends not only on personal variables (such as health and menopausal status) but also on contextual ones (including recent stressful events) that can be a strong influence on how middle-aged women feel.

The posttraumatic growth inventory: Factor structure and invariance in a sample ofbreast cancer patients and in a non-clinical sample

The Posttraumatic Growth Inventory (PTGI) is frequently used to assess positive changes following a traumatic event. The aim of the study is to examine the factor structure and the latent mean invariance of PTGI. A sample of 205 (M age = 54.3, SD = 10.1) women diagnosed with breast cancer and 456 (M age = 34.9, SD = 12.5) adults who had experienced a range of adverse life events were recruited to complete the PTGI and a socio-demographic questionnaire. We use Confirmatory Factor Analysis (CFA) to test the factor-structure and multi-sample CFA to examine the invariance of the PTGI between the two groups. The goodness of fit for the five-factor model is satisfactory for breast cancer sample (χ2(175) = 396.265; CFI = .884; NIF = .813; RMSEA [90% CI] = .079 [.068, .089]), and good for non-clinical sample (χ2(172) = 574.329; CFI = .931; NIF = .905; RMSEA [90% CI] = .072 [.065, .078]). The results of multi-sample CFA show that the model fit indices of the unconstrained model are equal but the model that uses constrained factor loadings is not invariant across groups. The findings provide support for the original five-factor structure and for the multidimensional nature of posttraumatic growth (PTG). Regarding invariance between both samples, the factor structure of PTGI and other parameters (i.e., factor loadings, variances, and co-variances) are not invariant across the sample of breast cancer patients and the non-clinical sample.