Objective: Many studies have documented significant associations between religion and spirituality (R/S) and health, but relatively few prospective analyses exist that can support causal inferences. To date, there has been no systematic analysis of R/S survey items collected in US cohort studies. We conducted a systematic content analysis of all surveys ever fielded in 20 diverse US cohort studies funded by the National Institutes of Health (NIH) to identify all R/S-related items collected from each cohort's baseline survey through 2014.
Design: An R|S Ontology was developed from our systematic content analysis to categorise all R/S survey items identified into key conceptual categories. A systematic literature review was completed for each R/S item to identify any cohort publications involving these items through 2018.
Results: Our content analysis identified 319 R/S survey items, reflecting 213 unique R/S constructs and 50 R|S Ontology categories. 193 of the 319 extant R/S survey items had been analysed in at least one published paper. Using these data, we created the R|S Atlas (https://atlas.mgh.harvard.edu/), a publicly available, online relational database that allows investigators to identify R/S survey items that have been collected by US cohorts, and to further refine searches by other key data available in cohorts that may be necessary for a given study (eg, race/ethnicity, availability of DNA or geocoded data).
Conclusions: R|S Atlas not only allows researchers to identify available sources of R/S data in cohort studies but will also assist in identifying novel research questions that have yet to be explored within the context of US cohort studies.
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http://dx.doi.org/10.1136/bmjopen-2020-043830 | DOI Listing |
Gen Hosp Psychiatry
December 2024
San Francisco VA Health Care System, USA; University of California San Francisco School of Medicine, USA.
Objective: To develop a Diagnostic and Statistical Manual of Mental Disorders (DSM-5) eating disorder screener.
Method: Veterans enrolled in VA healthcare (N = 344) completed a survey of screening items and established measures. A validation subset (n = 166) participated in diagnostic interviews to confirm an eating disorder diagnosis.
BMC Public Health
January 2025
Public Policy, Management, and Analytics, College of Urban Planning and Public Affairs, University of Illinois at Chicago, Chicago, IL, 60607, USA.
Background: Despite multiple years of government HIV educational efforts, the growing trend of new cases among women in Indonesia runs parallel with their seemingly overall lack of comprehensive knowledge about HIV. A major prevention challenge for the Indonesian government lies in delivering HIV prevention education across the world's largest archipelago. This study investigates comprehensive HIV knowledge among reproductive-age women in Southwest Sumba, Indonesia, and the sources through which they report having learned about HIV along with potential mediators of the relationship between socioeconomic status (SES) and HIV knowledge.
View Article and Find Full Text PDFBMC Nurs
January 2025
College of Nursing Science, Kyung Hee University, 26, Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea.
Background: A hospital nurse's clinical decision-making ability is an important core competency that identifies and solves patient problems in nursing practice. This study aimed to develop a Korean clinical decision-making scale for hospital nurses, and verify its validity and reliability.
Methods: A methodological design that develops a scale was used.
JMIR Ment Health
December 2024
Department of Psychiatry, Northwell Health, Zucker Hillside Hospital, Glen Oaks, NY, United States.
Background: Digital health technologies are increasingly being integrated into mental health care. However, the adoption of these technologies can be influenced by patients' digital literacy and attitudes, which may vary based on sociodemographic factors. This variability necessitates a better understanding of patient digital literacy and attitudes to prevent a digital divide, which can worsen existing health care disparities.
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