Social isolation and loneliness are gaining recognition for their role in health outcomes, yet they have not been defined in people with chronic obstructive pulmonary disease (COPD). To determine the national prevalence of and characteristics associated with social isolation and loneliness in people with COPD. This is a cross-sectional study of community-dwelling adults aged ⩾50 years in the nationally representative HRS (Health and Retirement Study) (2016-2018). Participants self-reported COPD and supplemental oxygen use and were categorized into three groups: ) no COPD; ) COPD; and ) COPD on oxygen. Social isolation was defined using a nine-item scale indicating minimal household contacts, social network interaction, and community engagement. Loneliness was measured using the 3-Item UCLA Loneliness Scale. Multivariable logistic regression defined prevalence and associated characteristics for both. Participants ( = 10,384) were on average 68 years old (standard deviation, ±10.5), 54% female, 10% Black, 11% self-reported COPD, and 2% self-reported supplemental oxygen. Overall, 12% were socially isolated, 12% lonely, and 3% both socially isolated and lonely. People with COPD had a higher adjusted prevalence of social isolation (no COPD: 11%; COPD: 16%; COPD on oxygen: 20%; < 0.05) and loneliness (no COPD: 11%; COPD: 18%; COPD on oxygen: 22%; < 0.001). In those with COPD, characteristics associated with social isolation ( < 0.05) included sex (men: 22%; women: 13%), non-Hispanic White ethnicity (White: 19%; Black: 7%), low net worth (<$6,000: 32%; $81,001-$239,000: 10%), depression (depression: 24%; no depression: 14%), having difficulty with one or more activities of daily living (one or more difficulty: 22%; no difficulty: 14%), and current cigarette use (current: 24%; never: 13%). Characteristics associated with loneliness ( < 0.05) included younger age (50-64 yr: 22%; 75-84 yr: 12%), being single (single: 32%; married: 12%), depression (depression: 36%; no depression: 13%), having difficulty with one or more activities of daily living (one or more difficulty: 29%; no difficulty: 15%), diabetes (diabetes: 26%; no diabetes: 17%), and heart disease (heart disease 23%; no heart disease: 17%). Nearly one in six adults with COPD experience social isolation, and one in five experience loneliness, with almost twice the prevalence among those on supplemental oxygen compared with the general population. Demographic and clinical characteristics identify those at highest risk to guide clinical and policy interventions.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10704233 | PMC |
http://dx.doi.org/10.1513/AnnalsATS.202304-288OC | DOI Listing |
BMJ Open
December 2024
KITE, University Health Network, Toronto, Ontario, Canada.
Introduction: Virtual reality (VR) technology is increasingly used by researchers and healthcare professionals as a therapeutic intervention to improve the quality of life of persons living with dementia (PLwD). However, most VR interventions to date have mainly been explored in long-term or community care settings, with fewer being explored at home. Setting is important, given that the majority of PLwD live at home and are cared for by their family care partners.
View Article and Find Full Text PDFArch Sex Behav
January 2025
Department of Applied Social Sciences, Hong Kong Polytechnic University, Hung Hom, Hong Kong, China.
Jealousy responses to potential mating rivals are stronger when those rivals display cues indicating higher mate quality. One such cue is vocal femininity in women's voices, with higher-pitched voices eliciting greater jealousy responses. However, cues to mate quality are not evaluated in isolation.
View Article and Find Full Text PDFSci Rep
January 2025
EIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, 11586, Riyadh, Saudi Arabia.
During the Covid-19 pandemic, the widespread use of social media platforms has facilitated the dissemination of information, fake news, and propaganda, serving as a vital source of self-reported symptoms related to Covid-19. Existing graph-based models, such as Graph Neural Networks (GNNs), have achieved notable success in Natural Language Processing (NLP). However, utilizing GNN-based models for propaganda detection remains challenging because of the challenges related to mining distinct word interactions and storing nonconsecutive and broad contextual data.
View Article and Find Full Text PDFAnnu Rev Clin Psychol
January 2025
2School of Healthcare Leadership, MGH Institute of Health Professions, Boston, Massachusetts, USA.
Researchers, interventionists, and clinicians are increasingly recognizing the importance of structural stigma in elevating the risk of mental illnesses (MIs) and substance use disorders (SUDs) and in undermining MI/SUD treatment and recovery. Yet, the pathways through which structural stigma influences MI/SUD-related outcomes remain unclear. In this review, we aim to address this gap by summarizing scholarship on structural MI/SUD stigma and identifying pathways whereby structural stigma affects MI/SUD-related outcomes.
View Article and Find Full Text PDFPLoS One
January 2025
School of Educational Science, Shaoguan University, Shaoguan, Guangdong, China.
This study investigated the mediating role of core self-evaluation (CSE) in the relationship between the perception of peer relationship quality and loneliness among university students during the COVID-19 pandemic. An online survey was conducted with 462 university students (mean age: 20.7 ± 1.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!