ArticleInternational journal of environmental research and public health2023
Relationships between Interpersonal Goals and Loneliness in Older Adults: A Cross-Sectional Study.
Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Decomposition and comparative analysis of differences in loneliness between urban and rural older adults: evidence from a national survey.BMC public health · 2026Article
- Growth mindset and well-being in social interactions: countering individual loneliness.Frontiers in public health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Loneliness is linked to many physiological and psychological issues and disproportionately affects older adults. Interpersonal goals (compassion and self-image) are essential to interpersonal relationships; however, how they relate to loneliness in older adults is unknown. We investigated the impact of interpersonal goals on loneliness using the Ecosystem-Egosystem Theory of Social Motivation. This study, adopting a descriptive cross-sectional correlational design, used data from the 2016 Health and Retirement Study. Participants (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.