Psychological constructs are of minor predictive value in the course of low back pain in primary care: Call for correction of Foster et al.

Pain

Rotterdam University of Applied Sciences, School of Health Care Studies, Museumpark 40, 3015 CX Rotterdam, The Netherlands Tel.: +31 10 7945123.

Published: July 2010

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.pain.2010.04.014DOI Listing

Publication Analysis

Top Keywords

psychological constructs
4
constructs minor
4
minor predictive
4
predictive course
4
course low
4
low pain
4
pain primary
4
primary care
4
care call
4
call correction
4

Similar Publications

Attitudes and knowledge for CBT-based psychotherapy among medical students and residents in China: a survey study.

BMC Med Educ

January 2025

Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Road, Hangzhou, Zhejiang, 310016, P.R. China.

Background/aim: Psychotherapy training for medical students and residents in China is still in development. To establish an appropriate training program, understanding medical students' and residents' current knowledge and attitudes toward psychotherapy is needed.

Methods: One hundred and forty-nine participants, including medical students, residents, and other health providers (HCPs), self-reported their understanding of 18 types of psychotherapy, negative attitude towards cognitive behavioral therapy (CBT), and their attitude towards psychological interventions and counseling in primary care (APIC-PC) through an online survey.

View Article and Find Full Text PDF

Objective: This study aimed to investigate the clinical characteristics and influencing factors of axial spondyloarthritis (axSpA) hyperkyphosis in a Chinese cohort.

Methods: A cross-sectional study was conducted on 607 patients with axSpA attending 12 hospitals across 11 centers from March 2022 to March 2024.Univariate and multivariate logistic regression analyses were used to explore the relevant influencing factors of hyperkyphosis.

View Article and Find Full Text PDF

Machine learning-enabled risk prediction of self-neglect among community-dwelling older adults in China.

Psychogeriatrics

January 2025

Department of Health Promotion and Behavioural Sciences, School of Public Health, Anhui Medical University, Hefei, China.

Background: Elder self-neglect (ESN) is usually ignored as a private problem and impairs the health outcomes of older adults. It is essential to construct a robust and efficient tool for risk prediction which can better detect and prevent self-neglect among older adults.

Methods: This study included 2494 study participants from the Ma'anshan Healthy Ageing Cohort (MHAC).

View Article and Find Full Text PDF

Hoarding Disorder (HD) is marked by the inability to discard possessions, and often excessive acquiring, which results in cluttered living spaces that substantially disrupt daily life. While the Saving Inventory-Revised (SI-R) serves as a reliable and valid tool for assessing hoarding severity, its length may preclude routine use. We aimed to develop a valid shorter version of the scale using Item Response Theory and Confirmatory Factor Analysis in a non-selected sample of 2890 individuals and a clinical HD sample of 200 participants, which were divided into test and confirmatory samples in a 2:1 ratio.

View Article and Find Full Text PDF

Objective: To analyze the concept of sexual dysfunction in postpartum women and identify their essential attributes, antecedents, and effects.

Method: Concept analysis based on a framework by Walker and Avant, elaborated in eight stages, which were: concept selection; identification of the use of the concept; determination of essential attributes; construction of the model case; additional case; identification of antecedents and effects; and definition of empirical references. Furthermore, an integrative review was carried out simultaneously, with a view to supporting the analysis of the concept.

View Article and Find Full Text PDF

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!