Evidence map›Paper›PMID 41778088›Full record

ArticleAdvances in patient-reported outcomes2025

The relationship between social media use and loneliness across the lifespan in the United States: Population-based study using Health Information National Trends Survey data.

Christian E Vazquez, Derek Falk, Dana P Urbanski, Katherine Kwong, Diana Abudu-Birresborn, Juanita-Dawne Bacsu, Moka Yoo-Jeong, Hye Won Chai, Wonkyung Jung, Matthew Lee Smith

Abstract read
In one paragraph

Article in Advances in patient-reported outcomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. Article
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

10 authors.

Christian E VazquezSchool of Social Work, The University of Texas at Arlington, 501 W. Mitchell Street, Arlington, TX 76019, USA.
Derek FalkSchool of Social Work, The University of Texas at Arlington, 501 W. Mitchell Street, Arlington, TX 76019, USA.
Dana P UrbanskiDepartment of Speech, Language and Hearing Sciences, College of Arts and Sciences, Indiana University Bloomington, 2631 E Discovery Pkwy, Bloomington, IN 47408 USA.
Katherine KwongDepartment of Human Development, Connecticut College, 270 Mohegan Ave Pkwy, New London, CT 06320, USA.
Diana Abudu-BirresbornDepartment of Nursing, Brock University, Niagara Region, 1812 Sir Isaac Brock Way, St., Catharines, ON L2S 3A1, Canada.
Juanita-Dawne BacsuSchool of Nursing, Thompson Rivers University, 805 TRU Way, Kamloops, BC V2C 0C8, Canada.
Moka Yoo-JeongSchool of Nursing, Bouvé College of Health Sciences, Northeastern University, 336 Huntington Ave 106J, Boston, MA 02115, USA.
Hye Won ChaiInstitute for Engaged Aging, Department of Psychology, Clemson University, 298 Memorial Dr, Seneca, SC 29672, USA.
Wonkyung JungConnell School of Nursing, Boston College, 140 Commonwealth Ave, Maloney Hall 346A, Chestnut Hill, MA 02467, USA.
Matthew Lee SmithDepartment of Health Promotion, Center for Community Health and Aging, School of Public Health, Texas A&M University, 212 Adriance Lab Road, College Station, TX 77843, USA.

Funding

Spanish Language Older Adult eHealth LearningK01AG081455 · NIA · UNIVERSITY OF TEXAS ARLINGTON · PI Christian E Vazquez · 2023 to 2026
$508k
NIA NIH HHS K01 AG081455NIA NIH HHS L60 AG084095
6 · The paper itself

Abstract

Objectives: Loneliness can affect all age groups and is continuing to grow as a major public health issue. One approach that has been proposed to address loneliness involves digital inclusivity because the ubiquity of technology and social media provides new avenues for activities to satisfy individuals' needs for social connection. It is unclear which age groups could benefit more from using social media related to loneliness. The current study advances the limited research on the relationship between social media use and loneliness looking across multiple age groups with nationally representative data. Methods: Data were analyzed from the 2022 Health Information National Trends Survey (HINTS; n = 4774). This study used multiple linear regression stratified by four age cohorts (Millennials, Generation X, Baby Boomers, Silent Generation) to examine the association of social media use with PROMIS Social Isolation scores and to assess differences across age cohorts. Covariates included age, gender, race and ethnicity, education, income, living with other adults, marital status, having a friend to talk to about health, self-rated health, PROMIS Meaning and Purpose, and the PHQ-4. Results: For Baby Boomers, compared to never using social media, using social media daily ( Conclusions: Social media use may be a risk factor for loneliness particularly for those who are from the Baby Boomer and Silent Generation and use social media daily. Social media interventions aimed at decreasing loneliness among older adults should consider the directional of this relationship, which needs to be confirmed.

Indexed as

Age cohortsHINTSLonelinessPROMIS social isolationSocial media

Identifiers

PMID41778088
PMCPMC12952754

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.