Purpose: To identify and compare the concepts contained in questionnaires measuring mindfulness using the International Classification of Functioning (ICF) as external reference.
Method: Questionnaires which are published in peer-reviewed journals and listed in Pubmed or PsycInfo were included. The questionnaires were analysed and, using a content-analytical approach, the respective items were categorised and linked to the ICF.
Results: Ten questionnaires were included. Ninety-four per cent (N = 341) of the concepts could be linked to 37 different ICF categories. One hundred and seventy-one (50.1%) concepts were linked to ICF categories of the component Body Function, 74 (21.7%) to categories of the component Activity and Participation and none to categories of the component Environmental Factors. In total, 28.2% of the linked concepts belonged to Personal factors, which are not yet classified in the ICF. The questionnaires exhibited considerable differences regarding content density (i.e. the average number of concepts per item) and content diversity (i.e. the number of ICF categories per concept).
Conclusions: The ICF provides an useful external reference to identify and compare the concepts contained in mindfulness questionnaires. Also, mindfulness questionnaire concepts suggest potentially useful factors for classification within the ICF.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.3109/09638288.2011.573902 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Functioning, disability, and health of individuals with Hikikomori (prolonged social withdrawal) and their families: A systematic review and meta-analysis of case-control studies.
Int J Soc Psychiatry
January 2025
Faculty of Education, University of Miyazaki, Miyazaki, Japan.
Background: Currently, paradoxical findings exist regarding the level of functioning in individuals with Hikikomori (prolonged social withdrawal).
Aims: This systematic review aimed to clarify the functioning, disability, and health of individuals with Hikikomori and their families in comparison to those without Hikikomori.
Method: Relevant studies were searched from April 22 to 25, 2022, using MEDLINE, PsycINFO, Scopus, and two Japanese databases.
A Homozygous Variant in HSD17B1 Identified in Women With Poor Ovarian Response.
Clin Genet
January 2025
NHC Key Laboratory of Human Stem Cell and Reproductive Engineering, School of Basic Medical Sciences, Central South University, ChangSha, China.
An increasing number of patients utilizing in vitro fertilization (IVF) and assisted reproductive technology (ART) are characterized as impaired or poor ovarian responders (PORs). Owing to its unclear molecular etiology, the management of patients with age-related ovarian characteristics remains a controversial and complex clinical concern. Therefore, it is important to identify and understand the etiological causes behind POR to develop more effective and efficient management strategies for these patients.
View Article and Find Full Text PDFPandemic one health clones of and producing CTX-M-14, CTX-M-27, CTX-M-55 and CTX-M-65 ESβLs among companion animals in northern Ecuador.
Front Cell Infect Microbiol
January 2025
One Health Brazilian Resistance Project (OneBR), São Paulo, Brazil.
From a One Health perspective, dogs and cats have begun to be recognized as important reservoirs for clinically significant multidrug-resistant bacterial pathogens. In this study, we investigated the occurrence and genomic features of ESβL producing Enterobacterales isolated from dogs, in the province of Imbabura, Ecuador. We identified four isolates expressing ESβLs from healthy and diseased animals.
View Article and Find Full Text PDFA multi-patch-based deep learning model with VGG19 for breast cancer classifications in the pathology images.
Digit Health
January 2025
School of IT and Engineering, Melbourne Institute of Technology, Melbourne, Australia.
Purpose: Breast cancer encompasses various subtypes with distinct prognoses, necessitating accurate stratification methods. Current techniques rely on quantifying gene expression in limited subsets. Given the complexity of breast tissues, effective detection and classification of breast cancer is crucial in medical imaging.
View Article and Find Full Text PDFInverse Gini indexed averaging: A multi-leveled ensemble approach for skin lesion classification using attention-integrated customized ResNet variants.
Digit Health
January 2025
Civil Engineering Department, Daffodil International University, Dhaka, Bangladesh.
Objective: To improve the accuracy and explainability of skin lesion detection and classification, particularly for several types of skin cancers, through a novel approach based on the convolutional neural networks with attention-integrated customized ResNet variants (CRVs) and an optimized ensemble learning (EL) strategy.
Methods: Our approach utilizes all ResNet variants combined with three attention mechanisms: channel attention, soft attention, and squeeze-excitation attention. These attention-integrated ResNet variants are aggregated through a unique multi-level EL strategy.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!