Unlabelled: BACKGROUND/STUDY CONTEXT: The number of individuals who reach extreme age is quickly increasing. Much of the current literature focuses on impaired cognition in extreme age, and debate continues regarding what constitutes "normal" cognition in extreme age. This study aimed to provide oldest-old normative data and to compare cognitive performances of cognitively intact elderly individuals from the Framingham Heart Study.
Methods: A total of 1302 individuals aged 65+ years from the Framingham Heart Study were separated into 5-year age bands and compared on cognitive tests. Multivariate linear regression analyses were conducted, adjusting for gender, the Wide Range Achievement Test-Third Edition (WRAT-III) Reading score, and cohort. Analyses also included comparisons between 418 individuals aged 80+ and 884 individuals aged 65-79, and comparisons within oldest-old age bands.
Results: Normative data for all participants are presented. Significant differences were found on most tests between age groups in the overall analysis between young-old and oldest-old, and analysis of oldest-old age bands also revealed select significant differences (all ps <.05).
Conclusion: As aging increases, significant cognitive differences and increased variability in performances are evident. These results support the use of age-appropriate normative data for oldest-old individuals.
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http://dx.doi.org/10.1080/0361073X.2015.1053755 | 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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