Objectives: To explore outlooks for the future which exist in an older population, through construction of a typology of combinations of absence or presence of reported hopes and fears for the future and a detailed analysis of the characteristics of older people in each of the four outlook categories created: optimistic, pessimistic, realistic or detached.
Methods: The findings are based on population survey responses from 8881 older Australians (65 + yr) living independently in the community. The Cochrane-Armitage test was used to detect the presence of trends, while logistic regression modelling was used to examine predictors of respondents expressing no main hope and/or no main fear.
Results: The logistic regression modelling identified predictors of outlook category, which have face validity and are consistent with the literature. In addition, the proportion of older people in the pessimistic category with scores indicating psychological distress (Kessler 6) was significantly higher than in the three other categories, providing support for the validity of the typology.
Conclusion: The vast majority of independently living older Australians have realistic or optimistic outlooks about their future. The small minority who are pessimistic, and more likely to be experiencing psychological distress, can be identified through self-reported absence of hopes accompanied by presence of fears.
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http://dx.doi.org/10.1080/13607860701616390 | DOI Listing |
J Invest Dermatol
January 2025
Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China; National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, China; Furong Laboratory, Changsha, China; Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China. Electronic address:
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School of Public Health, Peking University, Beijing, China.
The attitudes of reproductive-age individuals toward COVID-19 vaccination during pregnancy are still not well understood. We aimed to explore the attitudes toward COVID-19 vaccines during pregnancy and the determinants among the Chinese reproductive-age population. An anonymous cross-sectional study was conducted in China from July 4 to August 11, 2023.
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Department of Health Management, Dicle University, Diyarbakır, Türkiye.
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Department of Electrical Engineering, Lunghwa University of Science and Technology, Taoyuan 333326, Taiwan.
The proliferation of sophisticated counterfeiting poses critical challenges to global security and commerce, with annual losses exceeding $2.2 trillion. This paper presents a novel physics-constrained deep learning framework for high-precision security ink colorimetry, integrating three key innovations: a physics-informed neural architecture achieving unprecedented color prediction accuracy (CIEDE2000 (ΔE00): 0.
View Article and Find Full Text PDFNutrients
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Center for the Study of Metabolism, Body Composition and Lifestyle, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy.
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