María F. Rodrigo

Effects of a mindfulness-based intervention on psychological distress, well-being, and maternal self-efficacy in breast-feeding mothers: results of a pilot study

Several pilot studies have provided evidence that mindfulness-based intervention is beneficial during pregnancy, yet its effects in mothers during the early parenting period are unknown. The purpose of the present pilot study was to examine the effectiveness of a mindfulness-based intervention in breast-feeding mothers. We developed and tested an 8-week mindfulness-based intervention aimed at improving maternal self-efficacy, mindfulness, self-compassion, satisfaction with life, and subjective happiness, and at reducing psychological distress. A randomized controlled, between-groups design was used with treatment and control groups (n = 26) and pretest and posttest measures. ANCOVA results indicated that, compared to the control group, mothers in the treatment group scored significantly higher on maternal self-efficacy, some dimensions of mindfulness (observing, acting with awareness, non-judging, and non-reactivity), and self-compassion (self-kindness, mindfulness, over-identification, and total self-compassion). In addition, mothers who received the treatment exhibited significantly less anxiety, stress, and psychological distress. The results supported previous research findings about the benefits of mindfulness-based intervention in women from the perinatal and postpartum periods through the early parenting period. Additional research is needed to validate our findings in non-breast-feeding mothers and to examine the intervention’s indirect benefits in terms of family relationships and child development.

Wording effects and the factor structure of the 12-item General Health Questionnaire (GHQ-12)

The 12-item version of the General Health Questionnaire (GHQ-12) has become a popular screening instrument with which to measure general psychological health in different settings. Previous studies into the factorial structure of the GHQ-12 have mainly supported multifactor solutions, and only a few recent works have shown that the GHQ-12 was best represented by a single substantive factor when method effects associated with negatively worded items were considered. Confirmatory factor analysis was applied to compare competing measurement models from previous research, including correlated traits-correlated methods and correlated traits-correlated uniquenesses approaches, to obtain further evidence about the factorial structure of the GHQ-12. This goal was achieved with data from 3,050 participants who completed the GHQ-12 included in the Catalonian Survey of Working Conditions (Catalonian Labor Relations and Quality of Work Department, 2012). The results showed additional evidence that the GHQ-12 has a unidimensional structure after controlling for method effects associated with negatively worded items. Furthermore, we found evidence for our hypothesis about the spurious nature of the 3-factor solution in Graetzs (1991) model after comparing its fit with that found for alternative models resulting from different combinations of the negatively worded items. An implication of our results is that future research about the factor structure of the GHQ-12 should take method effects associated with negative wording into account in order to avoid reaching inaccurate conclusions about its dimensionality.

Modeling offenses among motorcyclists involved in crashes in Spain

In relative terms, Spanish motorcyclists are more likely to be involved in crashes than other drivers and this tendency is constantly increasing. The objective of this study is to identify the factors that are related to being an offender in motorcycle accidents. A binary logit model is used to differentiate between offender and non-offender motorcyclists. A motorcyclist was considered to be offender when s/he had committed at least one traffic offense at the moment previous to the crash. The analysis is based on the official accident database of the Spanish general directorate of traffic (DGT) for the 2003-2008 time period. A number of explanatory variables including motorcyclist characteristics and environmental factors have been evaluated. The results suggest that inexperienced, older females, not using helmets, absent-minded and non-fatigued riders are more likely to be offenders. Moreover, riding during the night, on weekends, for leisure purposes and along roads in perfect condition, mainly on curves, predict offenses among motorcyclists. The findings of this study are expected to be useful in developing traffic policy decisions in order to improve motorcyclist safety.

Visualizing parameters from loglinear models

SummaryThis paper presents a graphical display for the parameters resulting from loglinear models. Loglinear models provide a method for analyzing associations between two or several categorical variables and have become widely accepted as a tool for researchers during the last two decades. An important part of the output of any computer program focused on loglinear models is that devoted to estimation of parameters in the model. Traditionally, this output has been presented using tables that indicate the values of the coefficients, the associated standard errors and other related information. Evaluation of these tables can be rather tedious because of the number of values shown as well as their rather complicated structure, mainly when the analyst needs to consider several models before reaching a model with a good fit. Therefore, a graphical display summarizing tables of parameters could be of great help in this situation. In this paper we put forward an interactive dynamic graphical display that could be used in such fashion.

Effects of ultrasound on anxiety and psychosocial adaptation to pregnancy

Ultrasound is a common medical care procedure during pregnancy which has psychological implications. Research has found that it reduces the mother’s level of anxiety, but there is not enough literature on the effects of the ultrasound in relation to the trimester it is done (first, second, and third) and the effects on the psychosocial adaptation to pregnancy. The purpose of this study was to investigate the effects of the ultrasound in the first, second, and third trimester on anxiety and variables related to psychosocial adaptation to pregnancy. A pre-post intervention design was used. Participants were 111 pregnant women attending a prenatal diagnosis ultrasound scan procedure, State-Trait Anxiety Inventory (STAI), and Prenatal Self-Evaluation Questionnaire (PSEQ) were used to measure anxiety and psychosocial adaptation to pregnancy, respectively. Previous history was obtained through an interview. Results indicated that anxiety diminished after the ultrasound regardless of the trimester in which the ultrasound took place. However, first trimester ultrasound showed an additional benefit favoring the mother’s psychosocial adaptation to pregnancy, identification with the motherhood role, and the quality of the relationship with the partner. These findings suggest that in addition to the medical value of the ultrasound, it also has an important psychological value that has to be considered in order to guarantee an integral care of the pregnant women, especially in the first trimester.

Simultaneous Models for Contingency Tables: A Reanalysis of Heatherton et al. (1997) Data on Eating Behavior

In panel studies, where a categorical response is measured attwo points in time, we can examine two kind of hypotheses regardingthe nature of change. The first is related with change at theindividual level (gross change) through the modelling of joint distributionof responses. The second is related with aggregate change (netchange) through the modelling of marginal distributions of responses.This paper describes a general approach to the analysis of two-wavepanel data based on Lang and Agrestis work (1994) that simultaneouslypermits the modelling of marginal and joint distributions of responses.This approach is illustrated with data from Heatherton et al.(1997) about change in dieting behaviour. These data were originallyanalyzed using the χ2 statistic to test independenceof responses. This paper shows how it is possible toobtain a better understanding of these data using the proposedmethodological approach.