Examining multiple feature evaluation and classification methods for improving the diagnosis of Parkinson’s disease

An accurate diagnosis of Parkinson’s disease by specialists involves many neurological, psychological and physical examinations. The specialists investigate a number of symptoms and signs when examining the nervous system conditions of a person. The diagnosis involves reviewing the medical history and genetic factor of the person. The recent diagnosis methodology to Parkinson’s disease relies on voice disorders analysis. This methodology entails extracting feature sets of a recorded person’s voice then utilizing a machine learning technique to identify the healthy and Parkinson’s cases from the voice. This paper attempts to improve the diagnoses of Parkinson’s disease by testing multiple feature evaluation and classification machine learning methods based on the voice disorders analysis. The aim of this paper is to find the optimal solution to the problem by (i) proposing a new Multiple Feature Evaluation Approach (MFEA) of a multi-agent system (ii) implementing five independent classification schemas which are Decision Tree, Naïve Bayes, Neural Network, Random Forests, and Support Vector Machine on the Parkinson’s diagnosis before and after applying the MFEA, and (iii) evaluating the diagnosis accuracy of the results. The methodology of the tests encompasses 10-fold cross-validation to evaluate the learning of methods and track variation in their performance. The test results show that the MFEA of the multi-agent system finds the best set of features and improves the performance of the classifiers. The average rate of improvement in the diagnostic accuracy of the classifiers are Decision Tree 10.51%, Naïve Bayes 15.22%, Neural Network 9.19%, Random Forests 12.75%, and Support Vector Machine 9.13%. These results show that the MFEA makes a significant improvement to the classifiers’ diagnosis results.     

The unique influence of attachment to god on forgiveness among incarcerated males

Religious constructs associated with forgiveness are understudied among incarcerated males. Attachment and forgiveness theory supported hypotheses that attachment to God would uniquely influence forgiveness, controlling for other biopsychosocial resources in regression modeling. Results, utilizing data collected from 261 male prison inmates, ages 45 to 82, demonstrated that each of three blocks of predictors explained significant amounts of variance in forgiveness: (1) biological and control variables; (2) social support and positive evaluation of life; and (3) attachment to God. The final model explained 53.7% of the total variance. Discussion focuses on the use of attachment to God and forgiveness assessments.     

Towards an evidence‐base for student wellbeing and mental health: Definitions,developmental transitions and data sets

Against a background of huge changes in the world of university and college students since the turn of the millennium, together with a multitude of reports on student mental health/wellbeing, this article argues that the field of student mental health is hampered by the imprecise use of terms, a rush to action by universities in the absence of a robust evidence‐base, and a lack of overall coordination and collaboration in the collection and use of data. In response, we argue for clearer and more consistent use of definitions of, as well as differentiations between, student wellbeing and mental health, for a longitudinal approach to the student body that captures their developmental transitions to and through university, and a strategic and systematic approach to the use of bona fide measures in the collection of data on wellbeing and on the process of outcomes in embedded university counselling services. Such a coordinated approach will provide the necessary evidence‐base upon which to develop and deliver appropriate support and interventions to underpin and enhance the quality of students’ lives and learning while at university or college.     

Comparing cognitive fusion and cognitive reappraisal as predictors of college student mental health

Transdiagnostic cognitive behavioral interventions target different cognitive processes to promote mental health, including cognitive fusion and cognitive reappraisal. Determining the relative impact of cognitive fusion and reappraisal on a range of student mental health concerns could help interventions target psychopathological cognitive processes more effectively. Therefore, this study examined the longitudinal impact of cognitive fusion and reappraisal on mental health and functioning outcomes. A series of hierarchical regression models tested the effects of cognitive fusion and reappraisal in a sample of college students (n = 339). When controlling for reappraisal and baseline symptoms, fusion predicted distress, depression, generalized anxiety, social anxiety, hostility, academic distress, and student role problems 1 month later. Reappraisal predicted only student role problems longitudinally when controlling for fusion. These results suggest that cognitive fusion is a stronger predictor than reappraisal for a range of student mental health concerns and may be a particularly important target for improving student mental health.     

Personality in multiple sclerosis (MS): impact on health,psychological well-being,coping, and overall quality of life

Personality has long been considered a factor that can account for differences in health, well-being, and overall quality of life (QOL). A ‘Distressed or Type D Personality’ has been studied in medical populations as a predictor of several outcomes. The purpose of the present investigation was to determine the presence of Type D Personality in multiple sclerosis (MS) and its role on disease symptoms, disease management, health-related behaviors, coping, psychological well-being, and overall QOL and functioning. Two hundred and thirty (230) individuals with MS completed a survey assessing personality, disease symptoms, disease management, coping, self-efficacy, locus of control (LOC), psychological well-being, and QOL. Thirty-seven (16%) individuals were found to be ‘Type D+.’ Such individuals reported greater fatigue, pain, depression, and anxiety and worse disease management and adherence. They also reported engaging in maladaptive means of coping. Compared to ‘Type D?’ they reported lower self-efficacy, LOC, QOL and greater perceived stress. Finally, ‘Type D+’ individuals were more likely to be considering leaving the workforce. Findings suggest that ‘Type D’ Personality is associated with various negative outcomes in MS. Consideration of the routine assessment of personality in MS seems warranted and may better inform interventions and ward off poor outcomes.     

Internal health locus of control predicts willingness to track health behaviors online and with smartphone applications

Given rising technology use across all demographic groups, digital interventions offer a potential strategy for increasing access to health information and care. Research is lacking on identifying individual differences that impact willingness to use digital interventions, which may affect patient engagement. Health locus of control, the amount of control an individual believes they have over their own health, may predict willingness to use mobile health (mHealth) applications (‘apps’) and online trackers. A cross-sectional study (n = 276) was conducted to assess college students’ health locus of control beliefs and willingness to use health apps and online trackers. Internal and powerful other health locus of control beliefs predicted willingness to use health apps and online trackers while chance health locus of control beliefs did not. Individuals with internal and powerful other health locus of control beliefs are more willing than those with chance health locus of control beliefs to utilize a form of technology to monitor or change health behaviors. Health locus of control is an easy-to-assess patient characteristic providers can measure to identify which patients are more likely to utilize mHealth apps and online trackers.     

Modelling elderly patients’ perception of the community pharmacist image when providing professional services*

Professional pharmaceutical services may impact on patient’s health behaviour as well as influence on patients’ perceptions of the pharmacist image. The Health Belief Model predicts health-related behaviours using patients’ beliefs. However, health beliefs (HBs) could transcend beyond predicting health behaviour and may have an impact on the patients’ perceptions of the pharmacist image. This study objective was to develop and test a model that relates patients’ HBs to patient’s perception of the image of the pharmacist, and to assess if the provision of pharmacy services (Intervention group-IG) influences this perception compared to usual care (Control group). A qualitative study was undertaken and a questionnaire was created for the development of the model. The content, dimensions, validity and reliability of the questionnaire were pre-tested qualitatively and in a pilot mail survey. The reliability and validity of the proposed model were tested using Confirmatory Factor Analysis (CFA). Structural Equation Modelling (SEM) was used to explain relationships between dimensions of the final model and to analyse differences between groups. As a result, a final model was developed. CFA concluded that the model was valid and reliable (Goodness of Fit indices: x²(80) = 125.726, p = .001, RMSEA = .04, SRMR = .04, GFI = .997, NFI = .93, CFI = .974). SEM indicated that ‘Perceived benefits’ were significantly associated with ‘Perceived Pharmacist Image’ in the whole sample. Differences were found in the IG with also ‘Self-efficacy’ significantly influencing ‘Perceived pharmacist image’. A model of patients’ HBs related to their image of the pharmacist was developed and tested. When pharmacists deliver professional services, these services modify some patients’ HBs that in turn influence public perception of the pharmacist.     

Relationships between work-related characteristics,needs satisfaction,motivation and mental health in midwifery students

The present study examined the relationships between work-related characteristics in internships, psychological needs satisfaction, motivation and mental health using a partial least squares path modeling. Midwifery students (N = 214; M_age = 22.8 years) from three French schools completed different questionnaires online. Results showed (1) the importance of work resources (work control and social support) as protective factors of psychological needs satisfaction; and (2) the role of competence need satisfaction through motivation in the relationships between work resources and mental health. Midwifery schools should pay more attention to these two results, and take them into account in midwifery students’ training.     

Presenting concerns of emerging adults seeking treatment at an early intervention outpatient mood and anxiety program

This study examined presenting concerns and characteristics of emerging adults (EAs) seeking treatment at an early intervention program for mood and anxiety disorders to better understand presenting concerns when treatment is needed. During an intake assessment conducted by a social worker or clinical psychologist, participants (N = 548; 62% female, 38% male) reported their top three current life concerns, which were analyzed qualitatively using thematic analysis. Participants completed a battery of questionnaires assessing demographic information, symptomatology, and daily functioning. Females presented with significantly higher levels of anxiety, and both females and younger individuals (age 16–18) presented with significantly higher levels of depression compared to males and older individuals (age 19–26), respectively. The two most commonly reported presenting concerns were problems in interpersonal relationships and academics, and females were more likely to report academic concerns than males. The majority of participants reported seeking help for a wide range of problems commonly faced by EAs (83.7%), and participants rarely expressed concerns about particular symptoms of mood and/or anxiety disorders (16.3%). EAs and those supporting EAs may benefit from learning when psychosocial concerns are indicative of mental health challenges warranting professional attention.     

Thirdhand smoke beliefs and behaviors among healthcare professionals

Thirdhand smoke (THS) refers to tobacco smoke contaminants and by-products that remain in the environment after a cigarette is extinguished. The purpose of this study was to assess beliefs and behaviors regarding THS among healthcare professionals, and to examine associations among smoking attitudes/beliefs, provider demographics, and THS beliefs and behaviors. Healthcare professionals (N = 204) at a comprehensive cancer center and affiliated general hospital in a northeastern urban area completed online questionnaires. About one third of the respondents had heard of THS before completing the survey, and more than two thirds of the sample believed that THS issues do not receive enough attention. Being female, likelihood of discussing THS with others, endorsing the belief that smoking affects the quality of parenting, and support for government action towards smoking bans were significantly associated with providers’ belief that THS is harmful. Endorsing the belief that smoking affects the quality of parenting and belief that THS is harmful were significantly associated with the likelihood of discussing THS with others. Findings shed light on THS beliefs and behaviors of healthcare providers (a group of individuals that could be trained to educate and advise patients about THS) and inform recommendations for new tobacco policies and clinical guidelines for best practices in tobacco control and prevention.