Evidence map›Paper›PMID 36981849›Full record

ArticleInternational journal of environmental research and public health2023

A Middle-Range Theory of Social Isolation in Chronic Illness.

Paolo Iovino, Ercole Vellone, Nadia Cedrone, Barbara Riegel

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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 45 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Systematic Review of Loneliness and Social Isolation Interventions in Obesity and Obesity-Related Complications.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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  9. Barriers to Long COVID Care in the U.S.: An Application of Levesque et al.'s Access Framework.Health care analysis : HCA : journal of health philosophy and policy · 2026
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  12. Understanding the Psychological Impacts of Shielding From COVID-19 for Immunocompromised Individuals.Health expectations : an international journal of public participation in health care and health policy · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Paolo IovinoDepartment of Health Sciences, University of Florence, 50134 Florence, Italy.
Ercole VelloneDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0003-4673-7473
Nadia CedroneUnità di Medicina Interna, Ospedale S. Pertini, 00157 Rome, Italy.
Barbara RiegelSchool of Nursing, University of Pennsylvania, Philadelphia, PA 19104, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic illnesses and social isolation are major public phenomena that drive health and social policy worldwide. This article describes a middle-range theory of social isolation as experienced by chronically ill individuals. Key concepts include social disconnectedness, loneliness, and chronic illness. Antecedents of social isolation include predisposing factors (e.g., ageism and immigration) and precipitating factors (e.g., stigma and grief). Outcomes of social isolation include psychosocial responses (e.g., depression and quality of life), health-related behaviors (i.e., self-care), and clinical responses (e.g., cognitive function and health service use). Possible patterns of social isolation in chronic illness are described.

Indexed as

Quality of LifeSocial IsolationChronic DiseaseHumansLonelinesschronic diseaselonelinessnursing theorysocial interactionsocial isolation

Identifiers

PMID36981849
PMCPMC10049704

What OpenQuestion holds

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LicenceCC BY
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Read underepoch 390

Registered trials

None linked

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.