The Impact of Perceived Physical Dysfunction, Health-Related Habits, and Affective Symptoms on Employment Status Among Fibromyalgia Support Group Members

2001 ◽  
Vol 9 (2) ◽  
pp. 39-53 ◽  
Author(s):  
Nanna Kurtze ◽  
Kjell Terje Gundersen ◽  
Sven Svebak
Keyword(s):  
Support Group ◽  
Employment Status ◽  
Affective Symptoms ◽  
Physical Dysfunction ◽  
Health Related ◽  
Group Members ◽  
The Impact

Support for Mothers Who Are Incarcerated: Impact of Mutual Aid Support Groups

2020 ◽  
Vol 4 (1) ◽  
pp. 77-93
Author(s):  
Heather Howard ◽  
Katie Clark ◽  
Mary Piltch
Keyword(s):  
Support Groups ◽  
Support Group ◽  
Mutual Aid ◽  
Post Intervention ◽  
Community Based ◽  
Positive Communication ◽  
Community Based Organizations ◽  
Group Members ◽  
American Children ◽  
The Impact

BackgroundThe number of American children with a mother who is incarcerated increased by 131% between 1991 and 2007, impacting more than one million children. Because of increased focus on the problems surrounding parents in prison, there has been a growing recognition of how incarceration negatively impacts children and that repairing these relationships is critical to improving family functioning.ObjectiveThe focus of this article is to present a community-based participatory study that measured the impact of a support group provided to mothers during incarceration.MethodsIn this pilot study we used a nonexperimental design for an 8-week support group assessed at baseline and post intervention.FindingsThis study demonstrated favorable results in forming social connections and promoting positive communication between group members.ConclusionCommunity-based organizations, which offer support to parents, grandparents, and children impacted by incarceration, need continual funding.

Stuttering-Related Podcasts: Audio-Based Self-Help for People Who Stutter

2020 ◽  
Vol 5 (5) ◽  
pp. 1131-1138
Author(s):  
Lauren E. Dignazio ◽  
Megan M. Kenny ◽  
Erik X. Raj ◽  
Kyle D. Pelkey
Keyword(s):  
Support Groups ◽  
Support Group ◽  
Online Survey ◽  
Multiple Choice ◽  
Speech Language Pathologists ◽  
Group Leaders ◽  
Self Help ◽  
Group Members

Purpose It is known that people who stutter (PWS) benefit from self-help experiences, such as attending support groups or conferences. However, limited research has been done to explore the listening of stuttering-related podcasts as a form of self-help for PWS. This study seeks to understand the reasons why PWS listen to stuttering-related podcasts and provide descriptions of their listening experiences. Method Thirty-three PWS who have listened to stuttering-related podcasts were recruited to participate in an online survey that included multiple-choice and open-ended questions. Responses were analyzed and grouped into descriptive themes. Results Participants reported listening to stuttering-related podcasts as a way to gain information and perspective. They also reported experiences that fit themes of empowerment and camaraderie, as a result of listening. Conclusions Stuttering-related podcasts seem to be a positive self-help tool for PWS. Stuttering support group leaders and/or speech-language pathologists may consider introducing their group members or clients who stutter to this type of audio-based self-help experience.

ACCESSIBLE HOUSING AND HEALTH-RELATED QUALITY OF LIFE: MEASUREMENTS OF WELLBEING OUTCOMES FOLLOWING HOME MODIFICATIONS

2016 ◽  
Vol 10 (2) ◽  
pp. 38 ◽  
Author(s):  
Phillippa Carnemolla ◽  
Catherine Bridge
Keyword(s):  
Quality Of Life ◽  
Mixed Method ◽  
Exploratory Research ◽  
Health Related Quality ◽  
Care Giving ◽  
Home Modifications ◽  
Related Quality ◽  
Health Related ◽  
The Impact

The multi-dimensional relationship between housing and population health is now well recognised internationally, across both developing and developed nations. This paper examines a dimension within the housing and health relationship – accessibility – that to date has been considered difficult to measure. This paper reports on the mixed method results of larger mixed-method, exploratory study designed to measure the impact of home modifications on Health-Related Quality of Life, supported by qualitative data of recipients’ experiences of home modifications. Data was gathered from 157 Australian HACC clients, who had received home modifications. Measurements were taken for both before and after home modifications and reveal that home modifications were associated with an average 40% increase in Health-Related Quality of Life levels. The qualitative results revealed that participants positively associated home modifications across six effect themes: increased safety and confidence, improved mobility at home, increased independence, supported care-giving role, increased social participation, and ability to return home from hospital. This exploratory research gives an insight into the potential for accessible architecture to impact improvements in community health and wellbeing.

scholarly journals The impact of lymphedema on health-related quality of life up to 10 years after breast cancer treatment

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Mads G. Jørgensen ◽  
Navid M. Toyserkani ◽  
Frederik G. Hansen ◽  
Anette Bygum ◽  
Jens A. Sørensen
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Cancer Treatment ◽  
Breast Cancer Treatment ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
The Impact

AbstractThe impact of breast cancer-related lymphedema (BCRL) on long-term quality of life is unknown. The aim of this study was to investigate the impact of BCRL on health-related quality of life (HRQoL) up to 10 years after breast cancer treatment. This regional population-based study enrolled patients treated for breast cancer with axillary lymph node dissection between January 1st 2007 and December 31th 2017. Follow up and assessments of the included patients were conducted between January 2019 and May 2020. The study outcome was HRQoL, evaluated with the Lymphedema Functioning, Disability and Health Questionnaire, the Disabilities of the Arm, Shoulder and Hand Questionnaire and the Short Form (36) Health Survey Questionnaire. Multivariate linear logistic regression models adjusted for confounders provided mean score differences (MDs) with 95% confidence intervals in each HRQoL scale and item. This study enrolled 244 patients with BCRL and 823 patients without BCRL. Patients with BCRL had significantly poorer HRQoL than patients without BCRL in 16 out of 18 HRQoL subscales, for example, in physical function (MDs 27, 95%CI: 24; 30), mental health (MDs 24, 95%CI: 21; 27) and social role functioning (MDs 20, 95%CI: 17; 23). Age, BMI, BCRL severity, hand and dominant arm affection had only minor impact on HRQoL (MDs < 5), suggesting a high degree of inter-individual variation in coping with lymphedema. This study showed that BCRL is associated with long-term impairments in HRQoL, especially affecting the physical and psychosocial domains. Surprisingly, BCRL diagnosis rather than clinical severity drove the largest impairments in HRQoL.

scholarly journals Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Yahya Albalawi ◽  
Jim Buckley ◽  
Nikola S. Nikolov
Keyword(s):  
Social Media ◽  
Deep Learning ◽  
Comprehensive Evaluation ◽  
Classification Problem ◽  
Data Sets ◽  
Word Embeddings ◽  
Data Set ◽  
Lower Accuracy ◽  
Health Related ◽  
The Impact

AbstractThis paper presents a comprehensive evaluation of data pre-processing and word embedding techniques in the context of Arabic document classification in the domain of health-related communication on social media. We evaluate 26 text pre-processings applied to Arabic tweets within the process of training a classifier to identify health-related tweets. For this task we use the (traditional) machine learning classifiers KNN, SVM, Multinomial NB and Logistic Regression. Furthermore, we report experimental results with the deep learning architectures BLSTM and CNN for the same text classification problem. Since word embeddings are more typically used as the input layer in deep networks, in the deep learning experiments we evaluate several state-of-the-art pre-trained word embeddings with the same text pre-processing applied. To achieve these goals, we use two data sets: one for both training and testing, and another for testing the generality of our models only. Our results point to the conclusion that only four out of the 26 pre-processings improve the classification accuracy significantly. For the first data set of Arabic tweets, we found that Mazajak CBOW pre-trained word embeddings as the input to a BLSTM deep network led to the most accurate classifier with F1 score of 89.7%. For the second data set, Mazajak Skip-Gram pre-trained word embeddings as the input to BLSTM led to the most accurate model with F1 score of 75.2% and accuracy of 90.7% compared to F1 score of 90.8% achieved by Mazajak CBOW for the same architecture but with lower accuracy of 70.89%. Our results also show that the performance of the best of the traditional classifier we trained is comparable to the deep learning methods on the first dataset, but significantly worse on the second dataset.

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