Assessments were completed online at baseline, post-intervention and 1-month.
 
  Adherence to the MyCB writing (45%) and meditation (50%) was modest, and acceptability was high for both MyCB and MyCB + M. Intent to treat linear mixed model analyses indicated Post-intervention - state self-compassion and positive affect increased for MyCB compared to EW; 1-month BID scores decreased across all conditions; trait self-compassion increased and anxiety decreased for MyCB + M compared to MyCB and EW.
 
  These findings provide preliminary evidence for the efficacy and potential clinical use of the MyCB brief web-based self-compassion intervention alone and with the addition of meditation, to increase self-compassion and psychological wellbeing in BCSs.
 These findings provide preliminary evidence for the efficacy and potential clinical use of the MyCB brief web-based self-compassion intervention alone and with the addition of meditation, to increase self-compassion and psychological wellbeing in BCSs.
  Heath literacy and eHealth literacy are skills that enable individuals to seek, understand and use information in ways which promote and maintain health. The present study examined group differences (ethnicity, immigration) in both literacies and whether there exists an association between the literacies and potential outcomes/gains in health behaviors, health care utilization, perceived health and perceived outcomes of Internet search.
 
  Participants included 819 Israeli men and women who responded to a nationally representative random-digital-dial (RDD) telephone survey.  https://www.selleckchem.com/products/atn-161.html  Respondents were veteran Jews, immigrants from the Former Soviet Union, and Palestinian Citizens of Israel.
 
  Significant differences between the groups were found in health literacy, especially in higher ordered skills, so that the immigrant group was the lowest, after accounting for demographic variables. No significant group differences were found in eHealth literacy. Health literacy was found to be significantly associated with healthcare utilization, perceived health and perceived outcomes of Internet search while eHealth literacy was associated with perceived health and perceived outcomes of Internet search. No interaction was found between group and literacies in the prediction of the outcomes.
 
  Immigration hampers health literacy but differences are ameliorated in eHealth literacy. Finding on association between literacies and outcomes replicated previous ones and the absence of moderation by group attests to the robustness of the models on health literacies.
 Immigration hampers health literacy but differences are ameliorated in eHealth literacy. Finding on association between literacies and outcomes replicated previous ones and the absence of moderation by group attests to the robustness of the models on health literacies.
  Benign gynaecological conditions (BCGs) and body image-related concerns are commonly experienced by reproductive-aged female-identified individuals. Qualitative evidence from cancer populations identifies a link between diseases of the sexual organs and body image distress encompassing appearance, sensory and functional aspects. Most BCGs and the impacts on body image have been studied separately. However, commonalities exist between these conditions including chronicity, diagnostic delays, and menstrual-related social stigma. This systematic scoping review and meta-synthesis aimed to compare and contrast the experience of body image in the benign conditions of endometriosis, polycystic ovarian cysts, uterine fibroids, and vulvar intraepithelial neoplasia.
 
  Electronic databases (MEDLINE, PsycINFO, Scopus, CINAHL, Embase, and Allied and Complementary Medicine) were searched in February 2020 and relevant articles were examined to identify papers that qualitatively explored the relationship between body imageensity and type of body image concerns individuals described. Across conditions, body image concerns were often left untreated, were concealed, and were associated with reduced quality of life.Background Dependent variables in health psychology are often counts, for example, of a behaviour or number of engagements with an intervention. These counts can be very strongly skewed, and/or contain large numbers of zeros as well as extreme outliers. For example, 'How many cigarettes do you smoke on an average day?' The modal answer may be zero but may range from 0 to 40+. The same can be true for minutes of moderate-to-vigorous physical activity. For some people, this may be near zero, but take on extreme values for someone training for a marathon. Typical analytical strategies for this data involve explicit (or implied) transformations (smoker v. non-smoker, log transformations). However, these data types are 'counts' (i.e. non-negative whole numbers) or quasi-counts (time is ratio but discrete minutes of activity could be analysed as a count), and can be modelled using count distributions - including the Poisson and negative binomial distribution (and their zero-inflated and hurdle extensions, which alloweven more zeros). Methods In this tutorial paper I demonstrate (in R, Jamovi, and SPSS) the easy application of these models to health psychology data, and their advantages over alternative ways of analysing this type of data using two datasets - one highly dispersed dependent variable (number of views on YouTube, and another with a large number of zeros (number of days on which symptoms were reported over a month). Results The negative binomial distribution had the best fit for the overdispersed number of views on YouTube. Negative binomial, and zero-inflated negative binomial were both good fits for the symptom data with over-abundant zeros. Conclusions In both cases, count distributions provided not just a better fit but would lead to different conclusions compared to the poorly fitting traditional regression/linear models.
  Portugal has one of the highest vaccine coverage rates among European countries, associated with excellent vaccine convenience and confidence levels. Considering both the high rate of pediatric vaccination in Portugal and the excellent indicators of vaccine convenience established, an analysis of confidence and complacency indicators could help understand this positive example. This study aimed to characterize parental beliefs according to the intention to vaccinate a next child and identify cognitive and demographic predictors of that intention in a Portuguese sample.
 
  We measured perceptions of vaccines' safety and efficacy, perceptions of the severity of vaccine-preventable diseases, beliefs related to conspiracy theories, attitudes towards immunization requirements, perceptions of social norms as predictors of the intention to vaccinate a subsequent child. We also inquired if parents had previously refused a recommended vaccine. The authors disseminated the questionnaire online to reach a diverse population of parents of 0-12 years old children.