A healthy lifestyle is an important condition for the protection and improvement of the health of individuals. The aim of the study is to adapt the psychometric properties of the Turkish version of the Healthy Lifestyle Screening Tool (HLST) in adults and to analyze their healthy lifestyle levels. It is a methodological type of research. The factor structure of the scale was evaluated by exploratory and confirmatory factor analysis, and the sample of 377 adult individuals was evaluated with Cronbach's alpha value for reliability. The Cronbach alpha value of the scale is 0.825 and it is above the accepted limit. In the seven-factor structure, 48.95% of the total variance was explained. The scale has 34 items and the factor loads of each item vary between 0.24-0.58. Confirmatory factor analysis was compatible with the data obtained with theoretical data. The Turkish version of the HLST scale is a valid and reliable scale that can be used to evaluate healthy lifestyle behaviors in adults.
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http://dx.doi.org/10.1891/JNM-2021-0085 | DOI Listing |
Brain Struct Funct
January 2025
Department of Biomedical Engineering, College of Chemistry and Life Sciences, Beijing University of Technology, Beijing, 100124, China.
The brain undergoes atrophy and cognitive decline with advancing age. The utilization of brain age prediction represents a pioneering methodology in the examination of brain aging. This study aims to develop a deep learning model with high predictive accuracy and interpretability for brain age prediction tasks.
View Article and Find Full Text PDFJ Physiol Anthropol
January 2025
University of Wrocław, Wrocław, Poland.
Background: The oxidative handicap hypothesis posits that testosterone-dependent traits, such as muscle mass and strength, may be costly to develop due to testosterone's pro-oxidative properties, leading to increased oxidative stress. This hypothesis suggests that only individuals with superior biological conditions can afford these costs. This study examines the oxidative handicap hypothesis, exploring the relationship between muscle mass or handgrip strength and oxidative stress markers in men.
View Article and Find Full Text PDFBMC Public Health
January 2025
Department of Nursing, School of Medicine, Lishui University, No. 1 Xueyuan Road, Lishui City, Zhejiang Province, 323000, China.
Background: Identifying the level of healthy aging and exploring its associated factors are prerequisites in the planning of effective measures among the elderly population. Thus, this study aimed to investigate the prevalence of healthy aging and determine its associated factors among community-dwelling older adults from mountain areas in Lishui, China.
Methods: A multicenter cross-sectional survey was conducted.
Geroscience
January 2025
Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Ageing is the primary driver of age-associated chronic diseases and conditions. Asian populations have traditionally been underrepresented in studies understanding age-related diseases. Thus, the Ageing BIOmarker Study in Singaporeans (ABIOS) aims to characterise biomarkers of ageing in Singaporeans, exploring associations between molecular, physiological, and digital biomarkers of ageing.
View Article and Find Full Text PDFSci Rep
January 2025
NHC Key Lab of Hormones and Development and Tianjin Key Lab of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Institute of Endocrinology, Tianjin, 300134, China.
Chronic kidney disease (CKD) is a global health challenge associated with lifestyle factors such as diet, alcohol, BMI, smoking, sleep, and physical activity. Metabolomics, especially nuclear magnetic resonance(NMR), offers insights into metabolic profiles' role in diseases, but more research is needed on its connection to CKD and lifestyle factors. Therefore, we utilized the latest metabolomics data from the UK Biobank to explore the relationship between plasma metabolites and lifestyle factors, as well as to investigate the associations between various factors, including lifestyle-related metabolites, and the latent phase of CKD onset.
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