This study examined the equivalence or comparability of the measurement properties of seven selected items measuring posttraumatic growth among self-identified Black (n = 270) and White (n = 707) adult survivors of Hurricane Katrina, using data from the Baseline Survey of the Hurricane Katrina Community Advisory Group Study. Internal consistency reliability was equally good for both groups (Cronbach's alphas = .79), as were correlations between individual scale items and their respective overall scale. Confirmatory factor analysis of a congeneric measurement model of seven selected items of posttraumatic growth showed adequate measures of fit for both groups. The results showed only small variation in magnitude of factor loadings and measurement errors between the two samples. Tests of measurement invariance showed mixed results, but overall indicated that factor loading, error variance, and factor variance were similar between the two samples. These seven selected items can be useful for future large-scale surveys of posttraumatic growth.
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http://dx.doi.org/10.2466/02.08.09.PR0.112.1.60-71 | DOI Listing |
Aging Ment Health
January 2025
Department of Psychology, University of Edinburgh, Edinburgh, UK.
Objectives: Ageism occurs across the world, with negative consequences for individuals and societies. In 2016, WHO received a mandate from its Member States to lead the global campaign to combat ageism. To monitor, evaluate, and build evidence for reducing ageism, the availability of a brief, reliable and valid set of indicators of ageism experiences that can be used globally is essential.
View Article and Find Full Text PDFNutrients
December 2024
Postgraduate Program in Applied Sciences to Women's Health, Federal University of Rio Grande do Norte, Natal 59078-900, Brazil.
: This systematic review aims to identify diets related to weight gain in pregnant women diagnosed with gestational diabetes mellitus (GDM). : This study was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, and its protocol was registered on the International Prospective Register of Systematic Reviews (CRD42023432322). The searches used the medical subject headings in the PubMed/MEDLINE, Web of Science, Scopus, and EMBASE databases.
View Article and Find Full Text PDFJ Food Prot
January 2025
1st Department of Pathology, Medical School, National and Kapodistrian University of Athens, 75, Mikras Asias str., Goudi 11527 Athens, Greece; Master's Program "Environment and Health. Management of Environmental Health Effects," Medical School, National and Kapodistrian University of Athens, 75, Mikras Asias str., Goudi 11527 Athens, Greece.
Background: Ensuring food safety is a fundamental priority for public health. The catering sector has become prominent as a convenient and cost-effective method of food supply worldwide. Adherence to proper food hygiene practices is crucial for preventing foodborne diseases.
View Article and Find Full Text PDFPurpose: Cancer-related financial toxicity occurs frequently and is a key driver of inequities in access to care and disparities in treatment outcomes. Current practices to screen for financial toxicity are inconsistent because of the lack of a validated and clinically integrated screening tool. This analysis aimed to create and assess an abbreviated version of the validated Comprehensive Score for Financial Toxicity (COST) tool, a measure of financial toxicity used for research purposes, which could easily be added into often-lengthy clinical screening workflows.
View Article and Find Full Text PDFPsychiatry Res
January 2025
Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510630, China. Electronic address:
Background: Early screening for autism spectrum disorder (ASD) is crucial, yet current assessment tools in Chinese primary child care are limited in efficacy.
Objective: This study aims to employ machine learning algorithms to identify key indicators from the 20-item Modified Checklist for Autism in Toddlers, revised (M-CHAT-R) combining with ASD-related sociodemographic and environmental factors, to distinguish ASD from typically developing children.
Methods: Data from our prior validation study of the Chinese M-CHAT-R (August 2016-March 2017, n = 6,049 toddlers) were reviewed.
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