Evidence map›Paper›PMID 34448708›Full record

ArticleJournal of medical Internet research2021

Association Between Social Media Use and Cancer Screening Awareness and Behavior for People Without a Cancer Diagnosis: Matched Cohort Study.

Lei Qin, Xiaomei Zhang, Anlin Wu, James S Miser, Yen-Lin Liu, Jason C Hsu, Ben-Chang Shia, Linglong Ye

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 12% of its field
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

13 citing papers in PubMed, 19 citations in OpenAlex.

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  6. Assessing the Impact of a Community-Based Narrative Film about Diabetes and Homelessness.Health education & behavior : the official publication of the Society for Public Health Education · 2025
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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

8 authors at 7 institutions in 3 countries.

Lei Qin *School of Statistics, University of International Business and Economics, Beijing, China.ORCID 0000-0001-9177-0753
Xiaomei ZhangSchool of Statistics, University of International Business and Economics, Beijing, China.ORCID 0000-0002-7245-0305
Anlin WuGuanghua School of Management, Peking University, Beijing, China.ORCID 0000-0001-5897-5087
James S MiserCollege of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.ORCID 0000-0002-1930-3103
Yen-Lin LiuTaipei Cancer Center, Taipei Medical University, Taipei, Taiwan.ORCID 0000-0002-7571-3123
Jason C HsuInternational Ph.D. Program in Biotech and Healthcare Management, College of Management, Taipei Medical University, Taipei, Taiwan.ORCID 0000-0003-2997-2404
Ben-Chang Shia *Graduate Institute of Business Administration, College of Management, Fu Jen Catholic University, New Taipei City, Taiwan.ORCID 0000-0003-2854-8361
Linglong Ye *School of Public Affairs, Xiamen University, Xiamen, China.ORCID 0000-0001-6637-7757
University of International Business and Economics · CNCity Of Hope National Medical Center · USFu Jen Catholic University · TWPeking University · CNTaipei Medical University · TWTaipei Medical University Hospital · TWXiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of social media in communications regarding cancer prevention is rapidly growing. However, less is known about the general population's social media use related to cancer screening awareness and behavior for different cancers.

objectiveWe aimed to examine the relationship between social media use and cancer screening awareness and behavior among people without a cancer diagnosis.

methodsData were collected from the Health Information National Trends Survey 5 Cycle 1 to 3 in the United States (n=12,227). Our study included 10,124 participants without a cancer diagnosis and 3 measures of screening awareness (those who had heard of hepatitis C virus [HCV], human papillomavirus [HPV], and the HPV vaccine) and 4 measures of behavior (those who had prostate-specific antigen tests, Papanicolaou tests for cervical cancer, as well as breast cancer and colon cancer tests). Propensity-score matching was conducted to adjust for the sociodemographic variables between the social media user and nonuser participants. Multivariable logistic regression was used to assess the association of social media use by gender. Jackknife replicate weights were incorporated into the analyses.

resultsOf the 3794 matched participants, 1861 (57.6% weighted) were male, and the mean age was 55.5 (SD 0.42) years. Compared to social media nonusers, users were more likely to have heard of HCV (adjusted odds ratio [aOR]=2.27, 95% CI, 1.29-3.98 and aOR=2.86, 95% CI, 1.51-5.40, for male and female users, respectively) and HPV (aOR=1.82, 95% CI, 1.29-2.58 and aOR=2.35, 95% CI, 1.65-3.33, for male and female users, respectively). In addition, female users were more likely to have heard of the HPV vaccine (aOR=2.06, 95% CI, 1.41-3.00). No significant associations were found between social media use and prostate-specific antigen tests in males, Papanicolaou tests and breast cancer tests in females, or colon cancer tests in both male and female users.

conclusionsWhile social media services can potentially promote cancer screening awareness in the general population, but they did not improve screening behavior after adjusting for socioeconomic status. These findings strengthened our understanding of social media use in targeting health communications for different cancers.

Indexed as

Papillomavirus InfectionsPapillomavirus VaccinesSocial MediaUterine Cervical NeoplasmsCohort StudiesEarly Detection of CancerFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedUnited StatesPapillomavirus Vaccinescancer screening awarenesscancer screening behaviorgender-specific effectsgeneral populationpropensity-score matchingsocial media

Identifiers

PMID34448708
PMCPMC8433866
OpenAlexW3195822980

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.