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. Author manuscript; available in PMC: 2024 Feb 1.
Published in final edited form as: Health Commun. 2021 Jul 14;38(2):349–362. doi: 10.1080/10410236.2021.1951958

Table 5.

Associations of Exposure to Conflicting Information about Mammography with General Health Information Confusion and Backlash

In general, health information is confusing to me Scientists keep changing their minds about what people should do to keep healthy

Measure Model 1 Model 2 Model 3 Model 4 Model 1 Model 2 Model 3 Model 4

Ecological exposure −0.000 0.001*
(0.001) (0.0004)
Top-of-head thought-listing
 References “old” only −0.040 −0.011
(0.113) (0.138)
 References new/change 0.115 0.246*
(0.099) (0.095)
Self-assessed exposure to conflict in media 0.075^
(0.040)
0.189***
(0.037)
Inferred exposure
 Mammography conflict 0.192 0.103
(0.136) (0.129)
 Age-related conflict −0.139^ −0.197*
(0.084) (0.083)
 Frequency-related conflict −0.024 0.199*
(0.101) (0.101)
 Personal conflict −0.062 0.208*
(0.085) (0.088)

Observations 1,059 719 774 1,058 1,059 720 775 1,059

R-squared 0.038 0.073 0.062 0.042 0.037 0.088 0.071 0.063

Note. Robust standard errors in parentheses;

***

p<0.001

**

p < 0.01

*

p < 0.05

^

p < 0.1. For each outcome, we generated four models, one for each of the four types of exposure measurement, to avoid multicollinearity (1=ecological, 2=inferred, 3=top-of-head, 4=self-assessed). All models control for age category, gender, educational attainment, income, race, marital status, average health news consumption, and institutional confidence