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268 results for “self-care”

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ClinicalTrials.gov20/100

Acceptance and Compassion to Enhance Self-care Pilot

ClinicalTrials.gov study NCT02535455. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov20/100

Heart Failure Self-care With the Aid of a Smartphone Application

ClinicalTrials.gov study NCT03194841. IPD Sharing: NO. Countries: 0. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov20/100

Effect of Postoperative Telehealth Counseling on Recovery and Self-Care in Geriatric Day Surgery Patients

ClinicalTrials.gov study NCT06892769. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov20/100

A Nurse-led Health Coaching Intervention for Heart Failure Self-care Management

ClinicalTrials.gov study NCT05269797. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
zenodo16/100

Dataset related to the article "Self-Care and Quality of Life in Patients with Chronic Cardiovascular Diseases: the Role of Anxiety, Depression and Perceived Distress"

<p>This record contains raw data related to the article "Self-Care and Quality of Life in Patients with Chronic Cardiovascular Diseases: the Role of Anxiety, Depression and Perceived Distress".</p> <p>ABSTRACT:</p> <p><strong>Aim:&nbsp;</strong>To explore the relationship between self-care, psychological status, and quality of life in patients with chronic cardiovascular diseases.</p> <p><strong>Background:</strong> Psychological disorders are frequent among patients with chronic cardiovascular diseases, who also need to perform self-care to manage their condition. Both psychological status and self-care seem to affect the quality of life, but the relationship between these three elements is not completely understood.</p> <p><strong>Methods:&nbsp;</strong>397 patients with chronic cardiovascular disease were enrolled. All participants completed a self-administered test battery comprising GAD-7 (symptoms of anxiety), PHQ-9 (symptoms of depression), PSS (perceived distress), EQ5D (quality of life), and SCCII (self-care). Paths analysis was conducted.</p> <p><strong>Results:&nbsp;</strong>In people with chronic cardiovascular diseases, self-care and quality of life are indirectly linked via perceived distress as the mediating factor.</p> <p><strong>Conclusions:&nbsp;</strong>To our knowledge, this is the first study to assess the mediating role of psyhological well-being in the relationship between self-care and quality of life in patients with chronic cardiovascular diseases. Findings indicate that, in this population, self-care affects quality of life with the moderating role of perceived distress, highlighting the importance of enhancing the cooperation between nurses and psychologists in order to alleviate distress and improve quality of life in these patients.</p> <p><span><strong>THIS DATASET IS NOT PUBLIC. IS AVAILABLE UPON REASONABLE REQUEST TO THE CORRESPONDING AUTHOR</strong></span></p>

restrictedcc-by-4.0Jul 2024View details →
zenodo12/100

Further Evidence of Psychometric Performance of the Self-care of Diabetes Inventory in Adults With Type 1 and Type 2 Diabetes

<p>De Maria M, Fabrizi D, Luciani M, Caruso R, Di Mauro S, Riegel B, Barbaranelli C, Ausili D. Further Evidence of Psychometric Performance of the Self-care of Diabetes Inventory in Adults With Type 1 and Type 2 Diabetes. Ann Behav Med. 2021 Sep 24:kaab088. doi: 10.1093/abm/kaab088. Epub ahead of print. PMID: 34559189.</p> <p>Abstract</p> <p><strong>Background:&nbsp;</strong>The Self-care of Diabetes Inventory (SCODI) is a theory-based tool that measures self-care, a key strategy in the appropriate treatment of diabetes. However, despite the clinical differences between people with Type 1 Diabetes Mellitus (T1DM) and Type 2 Diabetes Mellitus (T2DM), the psychometric properties of the SCODI were only tested in mixed samples.</p> <p><strong>Purpose:&nbsp;</strong>This study aims to test the psychometric performances of the SCODI in two separate groups of adults with T1DM and T2DM.</p> <p><strong>Methods:&nbsp;</strong>This is a secondary analysis from two previous multicentre cross-sectional observational studies involving patients with T1DM (n = 181) and T2DM (n = 540). We tested dimensionality with confirmatory factor analysis and reliability with a multidimensional model-based coefficient for every scale of the SCODI: self-care maintenance, self-care monitoring, self-care management, and self-care self-efficacy.</p> <p><strong>Results:&nbsp;</strong>We found that the SCODI showed the same dimensionality, with minimal variation in factor loadings for each factor and each scale among T1DM and T2DM groups. High reliability for each scale in both groups was also found (self-care maintenance: T1DM = 0.86, T2DM = 0.83; self-care monitoring: T1DM = 0.84, T2DM = 1.00; self-care management: T1DM = 0.87, T2DM = 0.86; self-care self-efficacy: T1DM = 0.88; T2DM = 0.86).</p> <p><strong>Conclusion:&nbsp;</strong>The SCODI can be used for measuring self-care in people with T1DM, T2DM, or mixed groups using identical scoring procedures. Considering the well-known differences between Type 1 and Type 2 diabetes diseases and patients&#39; characteristics, our results support the generalizability of the self-care theory on which the instrument is based.</p>

restrictedFeb 2022View details →
zenodo12/100

Diabesity in Adults With Type 2 Diabetes Mellitus: A Cross-sectional Study Exploring Self-care and Its Determinants.

<p>Baroni I, Caruso R, Dellafiore F, Arrigoni C, Fabrizi D, Luciani M, Rebora P, Ausili D. Diabesity in Adults With Type 2 Diabetes Mellitus: A Cross-sectional Study Exploring Self-care and Its Determinants. Can J Diabetes. 2022 Apr 7:S1499-2671(22)00072-7. doi: 10.1016/j.jcjd.2022.03.009. Epub ahead of print. PMID: 35927172.</p> <p>Abstract</p> <p><strong>Objectives:&nbsp;</strong>The purpose of this study was to describe self-care maintenance, self-care monitoring, self-care management and self-care self-efficacy in adults with type 2 diabetes (T2DM) and body mass index (BMI)&lt;30 kg/m<sup>2</sup>&nbsp;and adults with T2DM and BMI&ge;30 kg/m<sup>2</sup>&nbsp;(&quot;diabesity&quot;), and to identify their clinical and sociodemographic determinants. Self-care is one of the main treatments for adults with T2DM. However, self-care has been poorly described in people with diabesity, and differences in clinical and sociodemographic determinants of self-care between patients with diabesity and patients with T2DM and BMI&lt;30 kg/m<sup>2</sup>&nbsp;have, to our knowledge, not been assessed.</p> <p><strong>Methods:&nbsp;</strong>A secondary analysis was performed of sociodemographic and clinical data using a multicentre, observational, cross-sectional design, wherein 540 adults diagnosed with T2DM were included in a consecutive and convenience sampling procedure.</p> <p><strong>Results:&nbsp;</strong>Self-care maintenance and management were significantly lower among patients with diabesity (p&lt;0.001 and p=0.025, respectively). Among patients with diabesity, low income (relative risk [RR]=3.27, p=0.01) and presence of diabetic neuropathy (RR=4.16; p=0.03) were strongly associated with inadequate self-care maintenance; completion of high school (RR=0.45; p=0.01), availability of a family caregiver (RR=0.52; p=0.04) and the use of insulin as the main treatment (RR=2.09; p=0.01) decreased the likelihood of inadequate self-care monitoring.</p> <p><strong>Conclusions:&nbsp;</strong>The unfavourable behavioural profile of patients with diabesity could be further worsened by their lower level of confidence in performing adequate self-care.</p>

restrictedJan 2023View details →
zenodo12/100

Self-Care of Chronic Illness Inventory: An Initial Psychometric Evaluation in People Living With HIV in Italy

<p>Brito Villa A, De Maria M, Caruso R, Matarese M, Arrigoni C, Dellafiore F. Self-Care of Chronic Illness Inventory: An Initial Psychometric Evaluation in People Living With HIV in Italy. J Assoc Nurses AIDS Care. 2022 Jul-Aug 01;33(4):459-467. doi: 10.1097/JNC.0000000000000331. Epub 2022 May 24. PMID: 35608896.</p> <p>Abstract</p> <p>Self-care is essential to achieve positive clinical outcomes in patients with chronic diseases; however, self-care behaviors of people living with HIV (PLWH) have not been extensively studied due to the lack of validated measurements. We performed preliminary psychometric analyses of the structural validity and internal consistency of the Self-Care of Chronic Illness Inventory among 108 PLWH living in Italy and assessed self-care levels. Our findings largely replicate the instrument&#39;s original factor structure and indicated high internal consistency and reliability. Additionally, we found that PLWH performed self-care behaviors at suboptimal levels. Recommendations for clinical care and future investigations are advanced.</p> <p>&nbsp;</p>

restrictedJan 2023View details →

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Allen Brain Atlas

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allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

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behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record