The current study examined the interactions between family environment, hope, and loneliness, and their subsequent influence on the subjective well-being (SWB) of 345 noninstitutionalized older adults (aged 60 years and above) in Singapore. Door-to-door surveys information was collected on family environment (cohesiveness, relationship closeness, and support), hope, loneliness, and SWB (life satisfaction, happiness, and absence of negative affect). Structural equation modelling was conducted to test competing hypotheses derived from life stress and integrated resource theories. The results revealed that family environment influenced SWB both directly and indirectly. Family environment decreased loneliness and increased SWB. Additionally, family environment influenced SWB by offering increased hope. Family environment sets the context for the SWB of older adults in Singapore. Families should therefore be targeted for interventions to reduce loneliness, increase psychological resources, and raise SWB during old age.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1177/00914150231171839 | DOI Listing |
Ann Bot
January 2025
Key Laboratory of Biodiversity Science and Ecological Engineering of the Ministry of Education, College of Life Sciences, Beijing Normal University, Beijing, China.
Background And Aims: Competition with sympatric diploid progenitor(s) hinders the persistence of polyploids. The hypothesis that polyploids escape from competition through niche shifts has been widely tested; however, niche escape is unlikely to completely avoid competition. Given species growing in less favorable environments likely have weaker competitive abilities, we hypothesize that polyploid populations tend to persist in areas where their progenitors with relatively low habitat suitability.
View Article and Find Full Text PDFIn recent years, DNA metabarcoding has been used for a more efficient assessment of bulk samples. However, there remains a paucity of studies examining potential disparities in species identification methodologies. Here, we explore the outcomes of diverse clustering and filtering techniques on data from a non-destructive metabarcoding approach, compared to species-level morphological identification of Brachycera (Diptera) and Hymenoptera of two bulk samples collected with Malaise traps.
View Article and Find Full Text PDFJ Forens Psychiatry Psychol
December 2024
Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, UK.
There are increasing numbers of older women in prison in England and Wales. The needs of older women in prison have been under researched and are often unmet. This paper explores staff and expert perspectives on the needs of older women in prison through a nominal group attended by six participants, including a consultant at the UK Health Security Agency; a General Practitioner; a postgraduate student completing a project on older women in prison; an academic researcher with expertise on older women in prison; a National Women's Health, Social Care, and Environment Review Group lead; and a HMMPS Diversity and Inclusion Lead.
View Article and Find Full Text PDFToxicol Res (Camb)
February 2025
Department of chemistry, Emerson University Multan, Multan 60000, Pakistan.
Since the Industrial Revolution, ecological damage, ecosystem disruption, and climate change acceleration have frequently resulted from human advancement at the price of the environment. Due to the rise in illnesses, Industry 6.0 calls for a renewed dedication to sustainability with latest technologies.
View Article and Find Full Text PDFJ Arthropod Borne Dis
June 2024
Department of Environment Health, Ardabil University of Medical Sciences, Ardabil, Iran.
Background: Water quality is usually measured using various indicators based on physical, chemical and biological parameters. By using the biological index that is based on the identification of the arthropod families, it is possible to make a logical judgment about the ecosystem condition. The aim of this study was measuring correlation coefficients between qualitative and biological Indices.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!