Profile of mood states and quality of life of Chinese postmastectomy women in Hong Kong: Integrating variable- and person-centered approaches

Profile of Mood States Factor Structure Does Not Accurately Account for Patients with Chronic Pain

OBJECTIVE

The need for measuring emotional functioning in patients with chronic pain was recognized decades ago. The Initiative on Methods, Measures, and Pain Assessment in Clinical Trials (IMMPACT) proposed the Profile of Mood States for this purpose. However, to date, its factor structure has not been confirmed in these patients.

METHODS

We set out to use confirmatory factor analysis to test the theoretical structure of seven factors: Tension-Anxiety, Depression-Dejection, Anger-Hostility, Vigor-Activity, Fatigue-Inertia, Confusion-Bewilderment, and Friendliness.

PARTICIPANTS

The sample consisted of 588 Spanish adult patients with chronic pain.

RESULTS

The original structure could not be verified according to the obtained fit indices (e.g., root-mean-square error of approximation = 0.11). For this reason, we carried out a second study that relied on exploratory factor analysis to evaluate the structure in half of the cases and confirmatory factor analysis to validate it in the other half. The factor structure detected in the exploratory factor analysis was not satisfactory, nor could it be validated with confirmatory factor analysis (e.g., normed fit index between 0.54 and 0.56).

CONCLUSIONS

The factor structure of the Profile of Mood States could not be satisfactorily confirmed. Consequently, other mood measures and shorter, optimized versions of the POMS are discussed as possible alternatives.

Effect of marital relationship on women's quality of life: Testing the mediating role of subjective well-being

Because of a large number of Chinese women and the widespread concern about women's living conditions, this study aimed to examine how subjective well-being mediates the association between marital relationship and women's quality of life in Chinese context. The data used in this study were collected by conducting a multi-stage cluster random sampling method of 756 women in Huai'an city of Mainland China. Data included women's basic demographics, women's quality of life and marital quality, and women's subjective well-being. Structural equation modeling was adopted to analyze the data. The results of structural equation modeling analysis suggested a good fit for the sample. Overall findings showed that marital relationship has a significantly direct effect on women's quality of life, and subjective well-being can partially mediate the impact of marital relationship on women's quality of life. The implications on theory and social policy were also discussed.

Development and Initial Validation of the Italian Mood Scale (ITAMS) for Use in Sport and Exercise Contexts

The current study presents initial validation statistics for the Italian Mood Scale (ITAMS), a culturally- and linguistically-validated Italian version of the Brunel Mood Scale (BRUMS: Terry and Lane, 2010). The ITAMS was administered to 950 sport participants (659 females), who ranged in age from 16 to 63 years (M = 25.03, SD = 7.62). In the first stage of the validation process, statistical procedures in Mplus were used to evaluate the measurement model. Multigroup exploratory structural equation modeling supported the hypothesized 6-factor measurement model for males and females separately and for the combined sample. Analysis of the scale scores using SPSS provided further support for the construct validity of the ITAMS with hypothesized relationships observed between ITAMS scores and measures of depression and affect. The development and validation of the ITAMS opens the way for mood-related research and sport or exercise interventions requiring mood assessments, in an Italian-language context.