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Importance: The activities that people engage in influence their well-being. Adults with low income have limited resources, which can affect their engagement in meaningful activities. Exploring the connection between meaningful engagement and well-being is an important step in providing occupational justice for this marginalized population.
Objective: To examine whether engagement in meaningful activities uniquely contributes to well-being for adults with low income after controlling for demographic variables.
Design: Cross-sectional exploratory study design.
Setting: Community agencies serving adults with low income, a local library, and a university union hall in northwest Ohio.
Participants: Adults with low income (N = 186).
Outcomes And Measures: Participants completed a demographic questionnaire, the Engagement in Meaningful Activities Survey (EMAS), and the World Health Organization-5 Wellbeing Index (WHO-5). We examined the influence of demographics and EMAS on the WHO-5.
Results: We identified a moderate correlation between the EMAS and WHO-5 (r = .52, p ≤ .05). Linear regression revealed an R2 = .27, F(7, 164) = 8.75, p < .001, with the EMAS and participant attributes as predictor variables. The R2 changed to .02 (p = .85) without the EMAS in the model.
Conclusions And Relevance: Findings support the need for and use of meaningful activities to support well-being and health for adults with low income. What This Article Adds: Findings build on the evidence supporting the role of engagement in meaningful activities by drawing connections to a well-known and widely used measure of subjective psychological well-being and applying these connections to adults with low income. Occupational therapy practitioners can use measures such as the EMAS to strategically infuse aspects of meaning that promote engagement and foster well-being.
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http://dx.doi.org/10.5014/ajot.2023.050003 | DOI Listing |
Implement Sci
December 2024
Center for Global Health, Weill Cornell Medicine, New York, NY, USA.
Background: A central goal of implementation science is to generate insights that allow evidence-based practices to be successfully applied across diverse settings. However, challenges often arise in preserving programs' effectiveness outside the context of their intervention development. We propose that qualitative data can inform generalizability via elucidating mechanisms of an intervention.
View Article and Find Full Text PDFFluids Barriers CNS
December 2024
C.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Background: Cerebrospinal fluid (CSF) motion and pulsatility has been proposed to play a crucial role in clearing brain waste. Although its driving forces remain debated, increasing evidence suggests that large amplitude vasomotion drives such CSF fluctuations. Recently, a fast blood-oxygen-level-dependent (BOLD) fMRI sequence was used to measure the coupling between CSF fluctuations and low-frequency hemodynamic oscillations in the human cortex.
View Article and Find Full Text PDFBMC Public Health
December 2024
Center for Regenerative and Reconstructive Medicine, Med-X Institute of Western China Science and Technology Innovation Harbour, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China.
Although many studies have reported the relationship between female hormone intake and cardiovascular disease (CVD) development, their association has not been fully elucidated and defined, based on data from the Third National Health and Nutrition Examination Survey intending to assess the health and nutritional status of non-institutionalized children and adults in the United States. This study examined the relationship between female hormone intake and coronary artery disease (CVD) development in 38,745 women, averaging 38.10 ± 12.
View Article and Find Full Text PDFBMC Cancer
December 2024
Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, 150000, China.
Background: The therapeutic efficacy and prognosis of various tumors can be assessed using the systemic immune-inflammatory index (SII) and prognostic nutritional index (PNI). Despite their potential, no studies have investigated the prognostic value of the combined SII-PNI score for outcomes in patients with extensive small cell lung cancer (ES-SCLC) treated with chemotherapy and immune checkpoint inhibitors (ICIs).
Materials And Methods: Our study retrospectively examined 213 ES-SCLC patients treated with chemotherapy and ICIs across two institutions.
Sci Rep
December 2024
SDU Health Informatics and Technology, The Mærsk Mc-Kinney Møller Institute, University of Southern Denmark, 5230, Odense, Denmark.
Lung cancer (LC) remains the primary cause of cancer-related mortality, largely due to late-stage diagnoses. Effective strategies for early detection are therefore of paramount importance. In recent years, machine learning (ML) has demonstrated considerable potential in healthcare by facilitating the detection of various diseases.
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