scholarly journals Vulvodynia—It Is Time to Accept a New Understanding from a Neurobiological Perspective

Author(s):  
Rafael Torres-Cueco ◽  
Francisco Nohales-Alfonso

Vulvodynia is one the most common causes of pain during sexual intercourse in premenopausal women. The burden of vulvodynia in a woman’s life can be devastating due to its consequences in the couple’s sexuality and intimacy, in activities of daily living, and psychological well-being. In recent decades, there has been considerable progress in the understanding of vulvar pain. The most significant change has been the differentiation of vulvar pain secondary to pathology or disease from vulvodynia. However, although it is currently proposed that vulvodynia should be considered as a primary chronic pain condition and, therefore, without an obvious identifiable cause, it is still believed that different inflammatory, genetic, hormonal, muscular factors, etc. may be involved in its development. Advances in pain neuroscience and the central sensitization paradigm have led to a new approach to vulvodynia from a neurobiological perspective. It is proposed that vulvodynia should be understood as complex pain without relevant nociception. Different clinical identifiers of vulvodynia are presented from a neurobiological and psychosocial perspective. In this case, strategies to modulate altered central pain processing is necessary, changing the patient’s erroneous cognitions about their pain, and also reducing fear avoidance-behaviors and the disability of the patient.

2012 ◽  
Vol 37 (5) ◽  
pp. 563-576 ◽  
Author(s):  
Bridget Juniper ◽  
Elaine Walsh ◽  
Alan Richardson ◽  
Bernard Morley

1994 ◽  
Vol 57 (3) ◽  
pp. 95-98 ◽  
Author(s):  
Chris Iveson

A new approach to counselling, solution focused brief therapy, is based on assumptions of client well-being which are very close to those underlying the work of occupational therapists. Two cases, one of memory loss and one of suicide risk assessment, are used to illustrate the principles of brief therapy translated into everyday practice.


Author(s):  
Daniela Villani ◽  
Pietro Cipresso ◽  
Andrea Gaggioli ◽  
Giuseppe Riva

The emerging convergence of new technologies and health care is offering a new approach to support effective interventions. This chapter aims to describe how Positive Technology can help people cope with stress in several contexts. On the one hand, the potential capacity of sensor technologies to offer individuals the technology with which to monitor certain biological signals known to be associated with stress might serve to promote engagement with a mediated experience for stress management. On the other hand, the chapter focuses on the hedonic and eudaimonic experiences supported by technology in terms of inducing positive affective states and supporting personal growth by teaching strategies to reduce stress and enhance well-being. To further connect mediated experiences with real ones, the Interreality approach (IR) allows for the combination of assessment and intervention as inseparable parts of the general process of coping with stress.


2019 ◽  
Vol 224 ◽  
pp. 04009 ◽  
Author(s):  
Aleksandr Zelensky ◽  
Evgenii Semenishchev ◽  
Aleksandr Gavlicky ◽  
Irina Tolstova ◽  
V. Frantc

The development of machine vision systems is based on the analysis of visual information recorded by sensitive matrices. This information is most often distorted by the presence of interfering factors represented by a noise component. The common causes of the noise include imperfect sensors, dust and aerosols, used ADCs, electromagnetic interference, and others. The presence of these noise components reduces the quality of the subsequent analysis. To implement systems that allow operating in the presence of a noise, a new approach, which allows parallel processing of data obtained in various electromagnetic ranges, has been proposed. The primary area of application of the approach are machine vision systems used in complex robotic cells. The use of additional data obtained by a group of sensors allows the formation of arrays of usefull information that provide successfull optimization of operations. The set of test data shows the applicability of the proposed approach to combined images in machine vision systems.


Author(s):  
APOORVA HA ◽  
SEEMA MEHDI ◽  
KRISHNA KL ◽  
NABEEL K

Depression is a condition of no mood and loss of interest in any activity that can diminish a person’s thinking, conduct, tendencies, emotional state, and a sense of well-being. Although there is a conventional class of medication which have been beneficial in the treatment of depression, current studies have reported having side effects which can be minimized by the intervention of herbs and phytochemicals. Most of the studies have proven the various mechanisms and have started to research a very ground-breaking method by glancing the ancient treatmen. Where this new approach of using the herbs and phytochemicals has shown better results alone and in combination with conventional drugs which has shown lesser adverse effects. The practice of phytomedicine is an additional option for the treatment of depression. In the various segments of treating the depression, the mainstream can be a breakthrough including phytoconstituents. In this aspect, there are many contributions for the treatment of the depression acting to the neuronal level signaling and the phytoconstituents also have shown some basic mechanisms in the treatment of depression as that of the conventional medications following some primary hypothesis and signaling pathways and life interactions that effects the brain in either way to treat the depression in all sort of way. Clinical evidence is required to provide backing to the safety and effectiveness of herbs and phytochemicals alone or in combination with currently available drugs to overcome the reported side effects during the treatment of depression.


2019 ◽  
Vol 15 (4) ◽  
pp. 294-305 ◽  
Author(s):  
Lisa Merry ◽  
Nancy Edwards

Purpose The purpose of this paper is to highlight gaps in the literature regarding transnational ties, the experience of raising and caring for children in a new (high-income) country and well-being, and to propose a program of research to address these gaps. Design/methodology/approach A general review of the literature on international migration, transnationalism and parenthood was conducted. A program of research and its objectives are then described. Findings To address research gaps, the proposed program of research aims to: develop approaches and tools to examine and measure the transnational experiences of migrant families; better understand migrants’ transnational obligations, resources and movements and their impact on parenthood and the health and well-being of families; assess whether existing health and social care and services for migrant families with children consider the transnational contexts and experiences of families; and determine how health and social care and services for migrant families with children may be adapted or developed to address transnational challenges and enhance transnational resources for families. Originality/value The proposed program of research offers a new approach, transnationalism, for producing knowledge toward better understanding the health and optimizing the care of migrant families in the context of raising and caring for children in a new country. It also contributes to the agenda setting regarding the approach and priority areas for research in migrant health.


2011 ◽  
Vol 32 (4) ◽  
pp. 344-357 ◽  
Author(s):  
Bridget Juniper ◽  
Pat Bellamy ◽  
Nicola White
Keyword(s):  

2002 ◽  
Vol 181 (4) ◽  
pp. 306-314 ◽  
Author(s):  
Gavin Andrews ◽  
Tim Slade ◽  
Cathy Issakidis

BackgroundComorbidity in epidemiological surveys of mental disorders is common and of uncertain importance.AimsTo explore the correlates of current comorbidity.MethodData from the Australian National Survey of Mental Health and Well-Being were used to evaluate the relationships between comorbidity, disability and service utilisation associated with particular mental disorders.ResultsThe number of current comorbid disorders predicted disability, distress, neuroticism score and service utilisation. Comorbidity is more frequent than expected, which might be due to the effect of one disorder on the symptom level of another, or to the action of common causes on both. The combination of affective and anxiety disorders was more predictive of disability and service utilisation than any other two or three group combinations. When people nominated their principal disorder as the set of symptoms that troubled them the most, the affective and anxiety disorders together were associated with four-fifths of the disability and service utilisation.ConclusionsTo make clinical interventions more practical, current comorbidity is best reduced to a principal disorder and subsidiary disorders.


2021 ◽  
Vol 3 (1) ◽  
pp. 1-7
Author(s):  
Yadgar Sirwan Abdulrahman

Clustering is one of the essential strategies in data analysis. In classical solutions, all features are assumed to contribute equally to the data clustering. Of course, some features are more important than others in real data sets. As a result, essential features will have a more significant impact on identifying optimal clusters than other features. In this article, a fuzzy clustering algorithm with local automatic weighting is presented. The proposed algorithm has many advantages such as: 1) the weights perform features locally, meaning that each cluster's weight is different from the rest. 2) calculating the distance between the samples using a non-euclidian similarity criterion to reduce the noise effect. 3) the weight of the features is obtained comparatively during the learning process. In this study, mathematical analyzes were done to obtain the clustering centers well-being and the features' weights. Experiments were done on the data set range to represent the progressive algorithm's efficiency compared to other proposed algorithms with global and local features


2020 ◽  
Vol 11 (6) ◽  
pp. 348
Author(s):  
Enkeleda Lulaj

From antiquity to modernization, the budget is portrayed as one of the main factors in economic and social life. This paper analyzes the relationship between education and budget management as a necessity for well-being and financial stability. This shows that the use of knowledge during the budget cycle management depends on the education and combination of many factors coming from the environment where the individual or family operates. Here it is explained how Cluster and MDS analysis in interaction with other statistical tests explain the similarities or the differences between the observation groups from Kosovo, Western Balkan countries and European Countries (KO & EU & WBC), related to emergency funds, saving, registration of transactions of revenues or expenditures, financial decision-making, control and budgetary practices. The research is argued from empirical findings giving a new approach through detailed recommendations for variables of observation groups on the personal budget.


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