Evidence map›Paper›PMID 40632698›Full record

ArticlePloS one2025

The impact of loneliness on depression, mental health, and physical well-being.

Oluwasegun Akinyemi, Waliah Abdulrazaq, Mojisola Fasokun, Fadeke Ogunyankin, Seun Ikugbayigbe, Uzoamaka Nwosu, Miriam Michael, Kakra Hughes, Temitope Ogundare

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Understanding the Association Between Substance Use and Loneliness in Midlife and Older Adults.International journal of environmental research and public health · 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

9 authors.

Oluwasegun AkinyemiThe Clive O Callender Outcomes Research Center, Howard University College of Medicine, Washington, District of Columbia, United States of America.ORCID https://orcid.org/0000-0001-8530-3681
Waliah AbdulrazaqDepartment of Psychiatry and Behavioral Sciences, Howard University College of Medicine, Washington, District of Columbia, USA.
Mojisola FasokunDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Fadeke OgunyankinDepartment of Research Data Science and Analytics, Cook Children's Health Care System: Cook Children's Medical Center, Fort Worth, Texas, United States of America.
Seun IkugbayigbeDepartment of Biological Sciences, Eastern Illinois University, Charleston, Illinois, United States of America.
Uzoamaka NwosuDepartment of Psychiatry and Behavioral Sciences, Howard University College of Medicine, Washington, District of Columbia, USA.
Miriam MichaelDepartment of Internal Medicine, Howard University College of Medicine, Washington, District of Columbia, United States of America.
Kakra HughesDepartment of Surgery, Howard University College of Medicine, Washington, District of Columbia, United States of America.
Temitope OgundareDepartment of Psychiatry, Boston University School of Medicine, Boston, Massachusetts, United States of America.

Funding

Sleep Disorders in Adults with Sickle Cell Disease: Frequency, Associations with Cardiovascular and Pain Indicators, and Responses to TreatmentU54MD007597 · NIMHD · HOWARD UNIVERSITY · PI BYRON D. FORD · 2019 to 2026
$37.7M
NIMHD NIH HHS U54 MD007597
6 · The paper itself

Abstract

backgroundLoneliness is a growing public health concern, with substantial implications for mental and physical health. Despite increasing attention, it remains an underrecognized determinant of health outcomes in population-based research.

objectiveThis study evaluates the association between loneliness and key health outcomes, including depression diagnosis, poor mental health days, and poor physical health days, using a nationally representative sample.

methodsWe analyzed Behavioral Risk Factor Surveillance System (BRFSS) data from 2016 to 2023. Loneliness was measured with the question, "How often do you feel lonely?" and categorized into five levels: Always, Usually, Sometimes, Rarely, and Never. We estimated average treatment effects (ATE) using inverse probability weighting (IPW), adjusting for sociodemographic characteristics and incorporating BRFSS sampling weights and fixed effects for state, and year.

resultsThe study included 47,318 individuals, predominantly White (73.3%), female (62.1%), and aged 18-64 years (72.1%). Over 80% of participants reported some degree of loneliness. Compared to those who reported "Never" being lonely, individuals who reported being "Always" lonely had a significantly higher predicted probability of depression (50.2% vs. 9.7%, ATE = +40.5 percentage points, p < 0.001), 10.9 more poor mental health days, and 5.0 more poor physical health days per month (all p < 0.001). Disparities were evident across sex, race/ethnicity, and age. Women consistently reported more poor mental health days than men across most loneliness levels. Black individuals reporting loneliness had significantly lower probabilities of depression and fewer poor mental health days than White peers. Older adults (>64) experienced more poor physical health days than younger adults across all loneliness categories.

conclusionLoneliness is a strong and independent predictor of depression and poor health outcomes. Public health interventions aimed at addressing loneliness-especially among high-risk subgroups-are critical to improving mental and physical well-being at the population level.

Indexed as

DepressionLonelinessMental HealthAdolescentAdultAgedBehavioral Risk Factor Surveillance SystemFemaleHealth StatusHumansMaleMiddle AgedUnited StatesYoung Adult

Identifiers

PMID40632698
PMCPMC12240311

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.