PubMed Journals Articles About "Learning Love Your Body After Cancer" RSS

07:20 EST 17th November 2019 | BioPortfolio

Learning Love Your Body After Cancer PubMed articles on BioPortfolio. Our PubMed references draw on over 21 million records from the medical literature. Here you can see the latest Learning Love Your Body After Cancer articles that have been published worldwide.

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Showing "Learning Love your Body after Cancer" PubMed Articles 1–25 of 26,000+

Perceived ability to regulate love.

Research has shown that romantic love can be regulated. We investigated perceptions about love regulation, because these perceptions may impact mental health and influence love regulation application. Two-hundred eighty-six participants completed a series of items online via Qualtrics that assessed perceived ability to up- and down-regulate, exaggerate and suppress the expression of, and start and stop different love types. We also tested individual differences in perceived love regulation ability. Particip...

The Structure of the Concepts Related to Love Spectrum: Emotional Verbal Fluency Technique Application, Initial Psychometrics, and Its Validation.

Love has been thoroughly studied and a variety of definitions as well as types of love have been described in the literature. Given the data presenting natural language of love concept, the aim of the two present studies is to demonstrate a new technique which enables description of the structure of emotion concepts within love spectrum. This technique is based on emotional verbal fluency tasks. The procedure and the coding system used are reported in the article along with the data on reliability and stand...

I love my dog.

Phase II randomized controlled trial of hypnosis versus progressive muscle relaxation for body image after breast or gynecologic cancer.

Sexual dysfunction, fueled by body image stress, is prevalent in women with a history of breast or gynecologic cancer. Preliminary data support that mind-body connections may improve sexual health outcomes through improving body image.

Latent Model-Based Clustering for Biological Discovery.

LOVE, a robust, scalable latent model-based clustering method for biological discovery, can be used across a range of datasets to generate both overlapping and non-overlapping clusters. In our formulation, a cluster comprises variables associated with the same latent factor and is determined from an allocation matrix that indexes our latent model. We prove that the allocation matrix and corresponding clusters are uniquely defined. We apply LOVE to biological datasets (gene expression, serological responses ...

A systematic review of body image measures for people diagnosed with head and neck cancer (HNC).

Head and neck cancer (HNC) is a relatively common cancer which causes a significant health burden, impacting individuals physically and psychologically. HNC treatment may result in facial disfigurement, eating and communication difficulties, and body image disturbances. We aimed to (1) identify HNC-specific patient-reported outcome measures (PROMs) used to assess body image, (2) evaluate their conceptual coverage, (3) appraise their development process and psychometric properties, and (4) determine appropri...

A multicenter, open-label, single-arm study of anamorelin (ONO-7643) in advanced gastrointestinal cancer patients with cancer cachexia.

Cancer cachexia is characterized by weight loss and is associated with increased morbidity and mortality in patients with cancer. Anamorelin (ONO-7643; ANAM) is a novel and selective ghrelin receptor agonist that improves appetite, lean body mass (LBM), body weight, and anorexia.

Identifying cancer targets based on machine learning methods via Chou's 5-steps rule and general pseudo components.

In recent years, the successful implementation of human genome project has made people realize that genetic, environmental and lifestyle factors should be combined together to study cancer due to the complexity and various forms of the disease. The increasing availability and growth rate of 'big data' derived from various omics, opens a new window for study and therapy of cancer. In this paper, we will introduce the application of machine learning methods in handling cancer big data including the use of art...

Developing Machine Learning Algorithms for the Prediction of Early Death in Elderly Cancer Patients: Usability Study.

The importance of classifying cancer patients into high- or low-risk groups has led many research teams, from the biomedical and bioinformatics fields, to study the application of machine learning (ML) algorithms. The International Society of Geriatric Oncology recommends the use of the comprehensive geriatric assessment (CGA), a multidisciplinary tool to evaluate health domains, for the follow-up of elderly cancer patients. However, no applications of ML have been proposed using CGA to classify elderly can...

Love will tear us apart: traumatic mating through consumption of body parts in a sea slug.

There is growing evidence that "traumatic mating"-a copulation that involves wounding the partner's tegument (Lange et al. 2013)-is a widespread phenomenon. Traumatic mating may have evolved associated with several distinct fitness benefits, from physical anchorage during mating to fertilization advantages (Lange et al. 2013). Currently, two hypotheses explain how traumatic mating may lead to fertilization advantages. First, the trauma inflicted during mating may be "collateral"-a by-product of another st...

Perioperative body composition changes in the multimodal treatment of gastrointestinal cancer.

Surgical resection and perioperative adjuvant therapy are widely accepted standard treatments for gastrointestinal cancer. However, body composition changes, such as weight loss and skeletal muscle loss, are unavoidable during these treatments. Several studies have shown that perioperative body composition changes are affected by multimodal treatment for gastrointestinal cancer. This review summarizes the background, current status, and future perspectives of perioperative body composition changes in the mu...

The clinical impact of preoperative body composition differs between male and female colorectal cancer patients.

Patient body composition status is an important indicator of metabolic status and is associated with cancer progression. Because body composition varies between men and women, we aimed to examine the difference in clinical impact of preoperative body composition depending on sex.

Next Generation of Lung Cancer Management.

The most important lung cancer research falls under the hub of personalized medicine. There is an expanding list of lung cancer genotypes that researchers have identified as relevant, and even more importantly, that they have discovered targeted therapies for. In addition, scientists are learning more about predictive markers for immunotherapy that may inform clinicians on how to optimally treat patients. Both targeted therapy and immunotherapy are approved in advanced non-small cell lung cancer and oncolog...

Quantitative Assessment of Learning Behaviors for Oncology Providers.

How health care providers select topics and activities for learning is key to meeting their needs. The goal of this study was to investigate how oncology providers identify knowledge gaps and choose learning activities. An online focus group within a larger longitudinal study was conducted between November 2015 and August 2016. Participants were chosen by convenience and stratified random sampling of diverse types of oncology providers. Providers were asked monthly to identify learning needs, explain how th...

Body mass index (BMI), BMI change, and overall survival in small cell and non-small cell lung cancer patients: a pooled analysis of the International Lung Cancer Consortium.

The relationships between morbid obesity, changes in body mass index (BMI) prior to cancer diagnosis, and lung cancer outcomes by histology (small-cell lung cancer (SCLC) and non-SCLC (NSCLC)) have not been well studied.

Learning to Love the LOR: Implementing an Internal Learning Object Repository at a Large National Organization.

This article is a case study that discusses the development and implementation of an internal learning object repository (LOR) for a large national organization with a distributed working environment. It describes the organizational environment and why an internal LOR was needed. It describes technical considerations, including the various document management systems (DMS) available, and why an open source DMS was selected to use as an internal LOR. Lastly, this article weighs the benefits and challenges of...

Cancer, sleep problems, and mind-body medicine use: Results of the 2017 National Health Interview Survey.

Sleep problems affect physical and emotional well-being as well as immune system function. Evidence has demonstrated an improvement in sleep problems in patients with cancer through the use of mind-body medicine (MBM). In the current study, the authors sought to elucidate the prevalence of sleep problems and the use of MBM in adult cancer survivors.

Body Image Issues and Attitudes Toward Exercise amongst Men Undergoing Androgen Deprivation Therapy (ADT) Following Diagnosis of Prostate Cancer.

Androgen Deprivation Therapy (ADT) is an established treatment for prostate cancer (PCa), but its side-effects can affect body appearance and functioning. However, research into the impact of ADT on body image is limited. Exercise can help patients to counterbalance some side-effects, potentially improving body image too. However, adherence to exercise recommendations is low. Therefore, we explored body image after ADT and attitudes towards exercise.

Prognostic role of body mass index is different according to menopausal status and tumor subtype in breast cancer patients.

Although controversial, obesity and underweight may have a negative impact on breast cancer outcome. However, the relationship between body mass index (BMI) and breast cancer outcomes according to tumor subtype and menopausal status remains unclear.

Hepatic alterations during the development and progression of cancer cachexia.

Cancer associated bodyweight loss (cachexia) is a hallmark of many cancers and is associated with decreased quality of life and increased mortality. Hepatic function can dramatically influence whole body energy expenditure and may therefore significantly influence whole body health during cancer progression.

LOTUS: A single- and multitask machine learning algorithm for the prediction of cancer driver genes.

Cancer driver genes, i.e., oncogenes and tumor suppressor genes, are involved in the acquisition of important functions in tumors, providing a selective growth advantage, allowing uncontrolled proliferation and avoiding apoptosis. It is therefore important to identify these driver genes, both for the fundamental understanding of cancer and to help finding new therapeutic targets or biomarkers. Although the most frequently mutated driver genes have been identified, it is believed that many more remain to be ...

Comprehensive immune profiling and immune-monitoring using body fluid of patients with metastatic gastric cancer.

The aim of this study is to profile the cytokines and immune cells of body fluid from metastatic gastric cancer (mGC), and evaluate the potential role as a prognostic factor and the feasibility as a predictive biomarker or monitoring source for immune checkpoint inhibitor.

Age-related deficits in motor learning are associated with altered motor exploration strategies.

How is motor learning affected by aging? Although several experimental paradigms have been used to address this question, there has been limited focus on the early phase of motor learning, which involves motor exploration and the need to coordinate multiple degrees of freedom in the body. Here, we examined motor learning in a body-machine interface where we measured both age-related differences in task performance as well as the coordination strategies underlying this performance. Participants (N = 65; age ...

Analysis of the factors related to the poor outcome after e-learning training in endoscopic diagnosis of early gastric cancer using magnifying narrow-band imaging.

An e-learning system teaching endoscopic diagnostic process for early gastric cancer (EGC) using magnifying endoscopy with narrow-band imaging (M-NBI) was established, and its efficacy in improving the diagnostic performance for EGC was proven in a multicenter randomized controlled trial. The aim of this study was to clarify the difference in learning effect in each lesion characteristic.

Trajectories of body mass index, from adolescence to older adulthood, and pancreatic cancer risk; a population-based case-control study in Ontario, Canada.

Pancreatic cancer has the highest fatality rate of all cancers. Adulthood obesity is an established risk factor for pancreatic cancer; however, life-course obesity is not well understood. The aim of this study was to evaluate the association between body mass index (BMI) trajectories throughout the life-course and pancreatic cancer risk.

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