Back

Discordance Between Perceived Health Information Competence and Cancer Prevention Knowledge in U.S. Adults: A Cross-Sectional Study

Lee, C. W.; Wong, A.; Yin, L.; Choi, Y.

2026-06-01 public and global health
10.64898/2026.05.28.26354370 medRxiv
Show abstract

Background: Self-reported confidence in health information seeking does not reliably predict accurate health knowledge, yet the population-level distribution of this discordance and its demographic predictors have received limited direct study. This study aimed to identify and characterize a Confident-Incorrect phenotype among U.S. adults: individuals with high perceived health information competence who simultaneously hold inaccurate or fatalistic beliefs about cancer. Methods: Cross-sectional analysis of HINTS 7 (N = 7,278). A Confidence Index (3-item digital literacy composite (Cronbach's = 0.674) and an Evidence-Consistent Knowledge Score (factual cancer knowledge minus a cancer fatalism composite; fatalism subscale = 0.563) were computed and combined into a discordance framework. Median-split classification produced four phenotypes. Gaussian Mixture Model clustering with four components provided moderate independent validation (inter-method agreement = 65.2%). Survey-weighted multinomial logistic regression (n = 5,771; McFadden pseudo-R2 = 0.129) examined phenotype predictors. Results: An estimated 20.3% of U.S. adults were classified as Confident-Incorrect. They reported confidence levels similar to Well-Informed adults (z = 0.72 vs. 0.82) but scored 2.8-fold lower on objective cancer knowledge (0.74 vs. 2.06 out of 4) and exhibited the highest cancer fatalism of any phenotype (3.17 vs. 1.65 out of 4). Only 14.3% correctly identified alcohol as a cancer risk factor (vs. 58.8% of Well-Informed adults). Cancer screening rates did not differ meaningfully across phenotypes. Lower education (OR = 0.754), Hispanic ethnicity (OR = 1.788), non-Hispanic Black race (OR = 1.893), higher social media use (OR = 1.097), and lower trust in scientists (OR = 0.749) independently predicted Confident-Incorrect membership. Conclusions: An estimated one in five U.S. adults is overconfident in health information competence while holding substantially inaccurate beliefs about cancer prevention. Cancer screening rates did not follow the expected gradient across phenotypes, a null finding that cautions against inferring immediate behavioral impact from observed belief gaps. Interventions targeting specific factual errors and cancer fatalism are more likely to reach this group than general health literacy programs.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
PLOS ONE
4510 papers in training set
Top 7%
22.6%
2
BMC Public Health
147 papers in training set
Top 0.2%
10.1%
3
BMC Cancer
52 papers in training set
Top 0.4%
4.9%
4
JAMA Network Open
127 papers in training set
Top 0.8%
4.0%
5
Preventive Medicine Reports
14 papers in training set
Top 0.1%
3.6%
6
Cancer Medicine
24 papers in training set
Top 0.3%
3.6%
7
eLife
5422 papers in training set
Top 29%
3.1%
50% of probability mass above
8
Journal of General Internal Medicine
20 papers in training set
Top 0.3%
2.1%
9
BMJ Open
554 papers in training set
Top 8%
2.1%
10
American Journal of Epidemiology
57 papers in training set
Top 0.6%
1.9%
11
American Journal of Preventive Medicine
11 papers in training set
Top 0.2%
1.9%
12
Preventive Medicine
11 papers in training set
Top 0.1%
1.9%
13
Journal of Medical Internet Research
85 papers in training set
Top 2%
1.9%
14
International Journal of Cancer
42 papers in training set
Top 0.6%
1.7%
15
Scientific Reports
3102 papers in training set
Top 57%
1.7%
16
npj Digital Medicine
97 papers in training set
Top 2%
1.5%
17
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
38 papers in training set
Top 0.8%
1.5%
18
Frontiers in Public Health
140 papers in training set
Top 5%
1.5%
19
International Journal of Environmental Research and Public Health
124 papers in training set
Top 4%
1.5%
20
JMIR Public Health and Surveillance
45 papers in training set
Top 3%
1.0%
21
JMIRx Med
31 papers in training set
Top 1%
0.9%
22
Clinical Infectious Diseases
231 papers in training set
Top 4%
0.9%
23
Psychiatry and Clinical Neurosciences
11 papers in training set
Top 0.3%
0.9%
24
BMC Infectious Diseases
118 papers in training set
Top 5%
0.8%
25
Annals of Internal Medicine
27 papers in training set
Top 0.9%
0.8%
26
Journal of Public Health
23 papers in training set
Top 1%
0.7%
27
Social Science & Medicine
15 papers in training set
Top 1.0%
0.7%
28
Journal of Racial and Ethnic Health Disparities
11 papers in training set
Top 0.5%
0.6%