Wine Intake in the Framework of a Mediterranean Diet and Chronic Non-Communicable Diseases: A Short Literature Review of the Last 5 Years

Dietary habits are a determining factor of the higher incidence and prevalence of chronic non-communicable diseases (NCDs). In the aim to find a possible preventive and intervention strategy, the Mediterranean diet (MedDiet) has been proposed as an effective approach. Within the MedDiet, moderate wine consumption with meals is a positive item in the MedDiet score; however, recent studies have reported a dose-response association between alcohol consumption and higher risk of a large number of NCDs. This review aimed to evaluate the association between NCDs and wine consumption in the framework of the MedDiet, with a simple review of 22 studies of the highest-level literature published over the last five years. We found that the information regarding the effects of wine in different health outcomes has not varied widely over the past five years, finding inconclusive results among the studies evaluated. Most of the literature agrees that light to moderate wine intake seems to have beneficial effects to some extent in NCDs, such as hypertension, cancer, dyslipidemia and dementia, but no definitive recommendations can be made on a specific dose intake that can benefit most diseases.

Generalized inductive item tree analysis

Inductive item tree analysis is an established method of Boolean analysis of questionnaires. By exploratory data analysis, from a binary data matrix, the method extracts logical implications between dichotomous test items based on their positive item scores. For example, assume that we have the problems i and j of a test that can be solved or failed by subjects. With inductive item tree analysis, an implication between the items i and j can be uncovered, which has the interpretation "If a subject is able to solve item i, then this subject is also able to solve item j". Hence, in the current form of the method, (a) solely dichotomous items are considered, and (b) conclusions are drawn from only positive item scores. In this paper, we provide extensions to these restrictions. First, as remedy for (b), we focus on the dichotomous formulation of the inductive item tree analysis algorithm and describe a procedure of how to extend the dichotomous variant to also include negative item scores. Second, to address (a), we further extend our approach to the general case of polytomous items, when more than two answer categories are possible. Thus, we introduce extensions of inductive item tree analysis that can deal with nominal polytomous and ordinal polytomous answer scales. To show their usefulness, the dichotomous and polytomous extensions proposed in this paper are illustrated with empirical data and in a simulation study.

Symmetric Metric Learning with Adaptive Margin for Recommendation

Metric learning based methods have attracted extensive interests in recommender systems. Current methods take the user-centric way in metric space to ensure the distance between user and negative item to be larger than that between the current user and positive item by a fixed margin. While they ignore the relations among positive item and negative item. As a result, these two items might be positioned closely, leading to incorrect results. Meanwhile, different users usually have different preferences, the fixed margin used in those methods can not be adaptive to various user biases, and thus decreases the performance as well. To address these two problems, a novel Symmetic Metric Learning with adaptive margin (SML) is proposed. In addition to the current user-centric metric, it symmetically introduces a positive item-centric metric which maintains closer distance from positive items to user, and push the negative items away from the positive items at the same time. Moreover, the dynamically adaptive margins are well trained to mitigate the impact of bias. Experimental results on three public recommendation datasets demonstrate that SML produces a competitive performance compared with several state-of-the-art methods.

Attitudes towards menopause and its relationship with sociodemographic factors among postmenopausal women living in a rural area of Jammu: a cross-sectional study

Background: Positive attitude towards menopause is believed to be associated with positive menopausal experience and vice versa. In order to improve women’s menopausal experience, thereby improving quality of life, it is important to understand their attitude towards menopause. The objectives of the research were to explore the attitude towards menopause and its relationship with various socio-demographic and life style factors among postmenopausal woman in the rural setting.Methods: This community-based cross sectional study was conducted using non probability sampling and house-to-house visit in randomly selected villages falling under rural health block Kot-Bhalwal, Jammu. 245 postmenopausal women were interviewed using modified attitude towards menopause checklist. The data so collected was analyzed using Open Epi version 3.1. For finding statistical significance, unpaired t-test and analysis of variance were used wherever needed. A p value of less than 0.05 was considered statistically significant.Results: The highest percentage of agreement with the positive item was for “a woman gets more confidence in herself after menopause” (77%). The lowest percentage of agreement with the positive item was for “going through menopause really does not change a woman in any important way,” (42.5%). There was a statistically significant mean difference between mean attitude score and religion, and no. of living children (F value=3.14, p value=0.002). No significant association was found between other sociodemographic variables and attitude towards menopause scores.Conclusions: There is a large scope of counseling and health education for improving and enhancing quality of life of postmenopausal women in rural setting of our country.

Positivity bias in past and future episodic thinking: Relationship with anxiety, depression, and retrieval-induced forgetting

Positivity biases in autobiographical memory and episodic future thinking are considered important in mental wellbeing and are reduced in anxiety and depression. The inhibitory processes underlying retrieval-induced forgetting (RIF) have been proposed to contribute to these biases. This investigation found reduced positivity in past and future thinking to be associated with reduced memory specificity alongside greater levels of anxiety, depression, and rumination. Most notably, however, RIF was found to significantly predict memory valence. This indicates that RIF may be important in maintaining such biases, facilitating the forgetting of negative memories when a positive item is actively retrieved.

Examination of the Chicago Multiscale Depression Inventory and Initial Validation of a Positive Scale

The Chicago Multiscale Depression Inventory (CMDI) was developed to improve accuracy in measuring depression symptoms in individuals with non-psychiatric medical illness. Earlier psychometric evaluation of the CMDI has emphasized properties of items that measure negative affect and experience. In this study, we provide an initial evaluation of an outcome scale of positive items that are also included within the CMDI but have previously been excluded from calculation of the total score. Psychometric data for the CMDI negative and positive item subscales were determined in healthy adults and patients with multiple sclerosis. Analysis included measurements of factor structure, reliability, and validity in comparison with other established measures of depression and affect. Study findings indicate that in healthy and patient samples, the CMDI Positive scale has very good reliability and validity. The Positive scale score also appears to predict depression symptoms beyond the negative item scale scores. The CMDI Positive scale could be a valuable clinical and research tool. Inclusion of the Positive scale in the CMDI total score appears to improve the measure by further capturing symptoms of affect and experience that are important to diagnosis of depression and are not covered by the negative scales alone. (JINS, 2016, 22, 76–82)

Assessing Superstitious Belief

The current study evaluated the psychometric properties of Wiseman and Watt's (2004) negative and positive superstitious belief items. The original items were compared with a modified, reworded set of items which emphasized each item's relation with either good or bad luck, and standard psychometric analyses were done. Modifying the items did not improve their psychometric properties; there was a negligible effect on Cronbach alpha, and Positive Item 3 continued to perform poorly. Confirmatory factor analysis, using the maximum likelihood method, suggested that a two-factor solution was preferable to a one-factor solution for both the original and modified items and that the problematic item should be discounted. It was concluded that the items require development and refinement before firm conclusions can be made about the factorial structure of superstitious belief. These results should also be tested further using Rasch methods.

Teacher Reports of Peer Aggression in Preschool: its Relationship to DSM-IV Externalizing Symptoms

Objective: to establish the prevalence and associations of peer aggression as manifested in preschool children, in community-based populations and to study links with DSM-IV externalizing diagnoses. Method: Subjects were 1,104 children, 3-to-5-year-olds attending rural and urban pre-schools classes. Teachers completed the Peer Conflict Scale (PCS) to inform about direct physical and verbal aggression, object aggression and symbolic aggression and the questionnaire on psychopathology ECI-4. Results: 6.6% (n = 73) had at least one positive item on the PCS. This percentage dropped to 2.6% (n = 29) if we take into account a minimum of three positive items. Physical direct aggression was the more prevalent type of aggressive behavior, followed by verbal aggression, object aggression and symbolic aggression. Significant differences by gender and age were found. Peer aggression was associated with male gender from three years of age. Physical, object and verbal aggressive behavior was linked with externalizing disorders. This association was very strong with oppositional disorder. Conclusions: The present research with a Spanish population confirms the existence of peer aggression in preschoolers and the gender differences. Our chief contribution is about the age of emergence of sex differences and gender differences in different types of peer aggression.

Students Teaching Students: Undergraduate Students as Laboratory Instructors

Undergraduate students teach laboratory sessions in the plant systematics course at The Pennsylvania State University. To assess student-taught laboratory sessions, surveys were administered to student instructors and students enrolled in the course. Benefits to student instructors included increased technical knowledge, new perspectives on teaching methodologies, and acquiring a positive item to add to résumés. Student instructors also practiced leadership skills. Enrolled students generally assessed the laboratory sessions favorably. Organization and planning were vital to the success of this teaching method. This teaching method also required increased departmental funding relative to other courses.

Differential Responding to Positive and Negative Items: The Case of a Negative Item in a Questionnaire for Course and Faculty Evaluation

Previous factor-analytic studies of self-rating scales have yielded a factor on which negatively worded items loaded separately. The present study investigated the existence for such a factor in a questionnaire for course and teacher evaluation which included one negative item. The questionnaire was administered in 1,095 university classes Two factors emerged, an exclusively positive-item factor and another factor on which the single negative item and one positive item loaded It was suggested that both items of Factor 2 were ambiguous and may identify tendencies such as acquiescence, random responding, and response sets.