The Mini-Mental State Examination (MMSE) is the most widely used instrument for the screening of older adults with suspected cognitive impairment; the MMSE has been translated and validated in numerous languages and countries. The cultural and sociodemographic characteristics of the sample can influence performance on the test; therefore, applying the MMSE in different populations usually requires adjustments of those variables. From this perspective, the present study aims to review the normative data for the MMSE in the Brazilian older population, including those adaptations to the original test. Database searches were performed in Medline, Web of Knowledge, Scielo and Pepsic for articles assessing healthy elderly Brazilian samples using the MMSE. Heterogeneity across and within the studies was analyzed. Of a total of 1,085 retrieved articles, 14 were included. Significant differences across studies were identified for the characteristics of the samples, the presence of alterations to the MMSE subtests and the presentation of the results. The risk of biases was relevant for all the studies. Considering the large methodological heterogeneity among studies, the generalization of the available normative data for the MMSE may not be appropriate for the general elderly Brazilian population.
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http://dx.doi.org/10.6061/clinics/2019/e971 | DOI Listing |
J Prev (2022)
January 2025
Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA.
The COVID-19 pandemic led to significant shifts in societal norms and individual behaviors, including changes in physical activity levels. This study examines the relationship between socioeconomic and sociodemographic factors and changes in physical activity levels during the pandemic compared to pre-pandemic levels among adult Arkansans. Survey data were collected from 1,205 adult Arkansans in July and August 2020, capturing socioeconomic and sociodemographic characteristics and information on physical activity changes since the onset of the pandemic.
View Article and Find Full Text PDFIntroduction: Transgender individuals may face familial and social hostility, leading to distress that significantly affects their well-being. This study aims to understand life course challenges experienced by transgender people since childhood.
Method: Cross-sectional study, including 20 transgender people.
Womens Health (Lond)
January 2025
College of Nursing, University of Utah, Salt Lake City, UT, USA.
Background: Postpartum is a critical period to interrupt weight gain across the lifespan, decrease weight-related risk in future pregnancies, promote healthy behaviors that are often adopted during pregnancy, and improve long-term health. Because the postpartum period is marked by unique challenges to a person's ability to prioritize healthy behaviors, a multi-level/domain approach to intervention beyond the individual-level factors of diet and activity is needed.
Objectives: The purpose of this study was to understand postpartum people's perceptions about the relationship between their social networks and support, and their health behaviors and weight.
Foods
January 2025
Department of Administration, Faculty of Administration and Economics, University of Santiago of Chile (USACH), Santiago 9170020, Chile.
This study evaluated how healthy lifestyle motivators (MHLs) influence the Peruvian market's willingness to consume healthy food (WCHBF). The main objective was to analyze the relationship of variables, such as attitude (ATT), perceived behavioral control (PBC), self-identity (SI), and moral norms (MN) with the WCHBF. This study adopted a quantitative, non-experimental, and cross-sectional approach, using a self-administered questionnaire for data collection.
View Article and Find Full Text PDFPolymers (Basel)
December 2024
Department of Chemistry, Faculty of Food Science and Biotechnology, University of Life Sciences in Lublin, 20-950 Lublin, Poland.
Recovering the relaxation spectrum, a fundamental rheological characteristic of polymers, from experiment data requires special identification methods since it is a difficult ill-posed inverse problem. Recently, a new approach relating the identification index directly with a completely unknown real relaxation spectrum has been proposed. The integral square error of the relaxation spectrum model was applied.
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