Daily negative interactions and mood among patients and partners dealing with multiple sclerosis (MS): The moderating effects of emotional support

Negative interactions with intimate partners may have adverse consequences for well-being, especially for individuals dealing with chronic illness. However, it is not clear whether negative interactions affect both dimensions of positive and negative well-being and factors that may moderate this effect have not been well-described. The aim of the present study was to examine the association between daily received negative responses from the partner and end-of-day positive and negative mood in patients with multiple sclerosis (MS) and their intimate partners. Further, the moderating role of receiving emotional support from the partner on the same day was examined. Sixty-one MS patients and their intimate partners were approached via one MS centre and the neurology department of one hospital in the Netherlands and completed computerized diaries for 14 days. Both partners filled out diaries at the end of each day, recording received negative responses, emotional support and end-of-day positive and negative mood. In line with a domain specific model, patients or partners who reported receiving negative responses on a day had higher end-of-day negative mood, whereas received negative responses were unrelated to end-of-day positive mood. Further, for both patients and partners, the adverse effect of received negative responses on end-of day mood was moderated by receiving emotional support on the same day.Negative interactions Emotional support Multiple sclerosis Diary method Couples Mood

Daily negative interactions and mood among patients and partners dealing with multiple sclerosis (MS): the moderating effects of emotional support.

Contains fulltext : 51991.pdf (publisher's version ) (Closed access)Negative interactions with intimate partners may have adverse consequences for well-being, especially for individuals dealing with chronic illness. However, it is not clear whether negative interactions affect both dimensions of positive and negative well-being and factors that may moderate this effect have not been well-described. The aim of the present study was to examine the association between daily received negative responses from the partner and end-of-day positive and negative mood in patients with multiple sclerosis (MS) and their intimate partners. Further, the moderating role of receiving emotional support from the partner on the same day was examined. Sixty-one MS patients and their intimate partners were approached via one MS centre and the neurology department of one hospital in the Netherlands and completed computerized diaries for 14 days. Both partners filled out diaries at the end of each day, recording received negative responses, emotional support and end-of-day positive and negative mood. In line with a domain specific model, patients or partners who reported receiving negative responses on a day had higher end-of-day negative mood, whereas received negative responses were unrelated to end-of-day positive mood. Further, for both patients and partners, the adverse effect of received negative responses on end-of day mood was moderated by receiving emotional support on the same day

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science. © The Author(s) 2019. Published by Oxford University Press