AI Article Synopsis
Article Abstract
Objectives: To measure rates of detection via screening, perceived self-imposed delays in seeking medical attention, and support seeking in a sample of regional and remote people with a cancer diagnosis and to test whether an association exists between these behaviours and minimising problems and resignation, a need for self-control and reliance and fatalism. Correlations and binary logistic regressions were conducted to test the associations between demographic characteristics, attitudes and behaviours.
Results: Females were more likely to have had their cancer detected via screening (OR = 10.02, CI = 3.49-28.78). Younger participants (r = -0.103, p = 0.009) were slightly more likely to seek at least one form of support and online support was sought more often by younger patients (r = -0.269, p < 0.001), females (r = 0.152, p < 0.001), those from higher socio-economic (SES) areas (r = 0.100, p = 0.012), and those with higher education levels (r = 0.247, p < 0.001). Younger (r = -0.161, p < 0.001), and female (r = 0.82, p = 0.013), participants were also slightly more likely to seek support specifically through cancer support groups. No significant relationships between minimising problems and resignation, needs for control and self-reliance or fatalism and detection via screening, support seeking, or perceived self-imposed delays to seeking medical attention were apparent, with the exception that those with higher fatalism (predetermined health) were slightly less likely to report seeking support or information online (OR = 0.79, CI = 0.65-0.95) and slightly more likely to report using Cancer Council's support services (OR = 1.24, CI = 1.02-1.52).
Conclusions: Strategies to improve the accessibility and appropriateness of support available for regional and remote cancer patients should consider interventions that remove barriers to access associated with age, gender, and education as opposed to those which address the attitudinal traits measured here.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/pon.5643 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
[Spatio-temporal Evolution Patterns and Spatial Differentiation Attribution of Ecological Quality in Guiyang from 1991 to 2020].
Huan Jing Ke Xue
January 2025
Institute of Mountain Resource of Guizhou Province, Guizhou Academy of Sciences, Guiyang 550001, China.
Exploring the trend of long time-series ecological quality evolution and spatial differentiation of influencing factors in Guiyang is of great significance for realizing regional ecological protection and high-quality development strategies. Based on the 7-period Landsat remote sensing images from 1991 to 2020, the remote sensing ecological index （RSEI） of Guiyang from 1991 to 2020 was calculated using the GEE remote sensing big data platform, and a geodetector, Hurst index, and coefficient of variation with different random sampling quantities and classification strategies were used to analyze the evolutionary pattern of ecological quality, change trends, and spatial differentiation influencing factors. The results showed that ① The ecological quality of Guiyang in the past 30 years was mainly medium and good, showing a wave-like pattern of change, with the highest and lowest values occurring in 2020 （mean value 0.
View Article and Find Full Text PDFRegionally differentiated responses of chlorophyll-a concentrations to reduced human activity during COVID-19 lockdown in the San Francisco Bay area.
J Environ Manage
December 2024
College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai, 201306, China.
The COVID-19 lockdown created a unique opportunity to study the impact of reduced human activities on water quality. This study aimed to explore how changes in human activities, specifically reduced traffic emissions, influenced water quality in the San Francisco Bay Area from 2019 to 2021. Using chlorophyll-a (Chl-a) concentration as an indicator of water quality and NO₂ concentration as a proxy for traffic emissions, we analyzed the effects of reduced emissions on water quality across different regions of the Bay.
View Article and Find Full Text PDFTwenty-first century surface UV radiation changes deduced from CMIP6 models. Part II: effects on UV index and plant growth weighted irradiance.
Photochem Photobiol Sci
December 2024
Institute of Meteorology and Climate Research Atmospheric Trace Gases and Remote Sensing, Karlsruhe Institute of Technology, Karlsruhe, Germany.
This paper investigates the evolution of changes in surface ultraviolet (UV) radiation globally, emphasizing the significant impacts of key factors influencing its variability, i.e., total column ozone, aerosols, clouds, and surface reflectivity.
View Article and Find Full Text PDFTheory-based behaviour modification of Asian adults with type-2 diabetes mellitus after participating in a novel telemonitoring system: a qualitative research study.
BMJ Open
December 2024
MOH Office of Healthcare Transformation, Singapore.
Objective: Telemonitoring (TM) remotely monitors individuals' health. Awareness of personal clinical data has resulted in improved glycaemic control in adults with type-2 diabetes mellitus (T2DM). However, its effects on their health-seeking behaviour remain unclear.
View Article and Find Full Text PDFRnalib: a Python library for custom transcriptomics analyses.
Bioinformatics
December 2024
Max Perutz Labs, Vienna Biocenter Campus (VBC), Vienna, A-1030, Austria.
Motivation: The efficient and reproducible analysis of high-throughput sequencing datasets necessitates the development of methodical and robust computational pipelines that integrate established and bespoke bioinformatics analysis tools, often written in high-level programming languages such as Python. Despite the increasing availability of programming libraries for genomics, there is a noticeable lack of tools specifically focused on transcriptomics. Key tasks in this area include the association of gene features (e.
View Article and Find Full Text PDFWant 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!