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Loneliness in late adulthood is a public health issue. Thus, understanding the etiology of loneliness is of critical importance. Here, we conceptualize the development of loneliness in late life as dynamic interactions between individual and contextual processes. Specifically, we suggest that loneliness arises if the existing social relationships are unable to meet a set of social expectations. These expectations are fulfilled by three different layers of the social structure: 1) close confidants; 2) broader social networks; and 3) involvement in the community. Although older adults experience losses in their broader network and engage less in the community, they may avoid loneliness by focusing on close confidants. However, these adaptations may make it more difficult for older adults to overcome loneliness.
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http://dx.doi.org/10.1016/j.copsyc.2024.101801 | DOI Listing |
BMC Palliat Care
March 2025
Division of Supportive and Acute Care Services, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Background: Loneliness is a quality-of-life (QoL) concern for patients facing serious, life-limiting illnesses. Discerning risk factors of loneliness in palliative care patients allows providers to take preventative action and develop holistic treatment plans.
Methods: A planned sub-study of patients who completed the previously developed Three-Item Loneliness Scale upon enrollment into the multicenter, randomized clinical trial Emergency Medicine Palliative Care Access (EMPallA) with the objective of investigating the association of multimorbidity with loneliness in patients with late-stage illnesses.
J Affect Disord
February 2025
Beijing Key Laboratory of Applied Experimental Psychology, Faculty of Psychology, Beijing Normal University, Beijing, PR China. Electronic address:
Background: The two-polarity model of personality development posits that personality vulnerabilities, specifically dependency and self-criticism, play a critical role in adolescent psychopathology risk. This theoretical framework emphasizes the importance of understanding how these vulnerabilities manifest and develop during adolescence, as adolescents face distinct developmental challenges at different stages. However, existing research overlooks the impact of stage-specific challenges on the development of personality vulnerabilities.
View Article and Find Full Text PDFPsychol Med
February 2025
Department of Behavioral Sciences and Social Medicine, College of Medicine, Florida State University, Tallahassee, FL, USA.
Background: Loneliness is a risk factor for late-life dementia. There is less consistent evidence of its association with cognitive performance. This study examined the replicability of the association between loneliness and overall and domain-specific cognitive function and informant-rated cognitive decline in cohorts from seven countries: the United States, England, India, China, South Africa, Mexico, and Chile.
View Article and Find Full Text PDFAging Ment Health
February 2025
Institute of Gerontology, Jönköping University, Jönköping, Sweden.
Objectives: Socioeconomic status impacts emotional health outcomes, but a lifecourse approach is necessary to understand the timing of these effects. The current analyses examined the impact of financial strain in childhood and adulthood on longitudinal changes in three measures of emotional health: depressive symptoms, loneliness, and anxiety.
Method: Data were from 1596 adults from the Swedish Twin Registry, aged 45 to 98 at intake (mean = 72.
Child Abuse Negl
March 2025
Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China. Electronic address:
Background: Bullying victimization and its co-occurrence with depressive symptoms have previously been explored. However, the pattern of bullying victimization development and the detailed associations between victimization and depressive symptoms remain unknown.
Objective: This study aimed to explore bullying victimization and its comorbidity with depressive symptoms across different developmental periods via network analysis.
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