| Literature DB >> 24259386 |
Shoou-Yih Daniel Lee1, Tzu-I Tsai, Yi-Wen Tsai.
Abstract
OBJECTIVE: Self-reported screening questions are considered as an effective way to identify patients with limited health literacy. Yet research has shown that individuals tend to over-report their reading level. Moreover, the likelihood of over-reporting may differ between gender groups. This study examined if systematic differences exist between men and women in their response to self-reported screening questions.Entities:
Keywords: gender difference; health literacy; screening; self-report
Year: 2013 PMID: 24259386 PMCID: PMC3840358 DOI: 10.1136/bmjopen-2013-002928
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Gender differences in self-reported comprehension of health information by health literacy level (N=3491)
| Self-report questions | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Health literacy level | Gender | UND1 | UND2 | UND3 | UND4 | ASS1 | ASS2 | ASS3 | ASS4 |
| Adequate | Male | 4.27 | 4.32 | 4.04 | 4.08 | 4.85 | 4.89 | 4.54 | 4.61 |
| Female | 4.30 | 4.36 | 4.03 | 4.07 | 4.80 | 4.87 | 4.44 | 4.51 | |
| p Value of t test | 0.45 | 0.12 | 0.61 | 0.73 | 0.04 | 0.22 | 0.005 | 0.003 | |
| Marginal | Male | 4.00 | 4.06 | 3.74 | 3.75 | 4.69 | 4.74 | 4.26 | 4.35 |
| Female | 3.90 | 3.99 | 3.63 | 3.61 | 4.58 | 4.65 | 4.08 | 4.10 | |
| p Value of t test | 0.20 | 0.33 | 0.20 | 0.11 | 0.12 | 0.15 | 0.08 | 0.012 | |
| Inadequate | Male | 2.99 | 3.08 | 2.58 | 2.54 | 3.42 | 3.46 | 2.71 | 2.82 |
| Female | 2.11 | 2.16 | 1.76 | 1.73 | 2.26 | 2.31 | 1.64 | 1.66 | |
| p Value of t test | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | |
Figure 1Distribution of self-reported comprehension of health information by gender and health literacy level.
Multivariate analysis of gender differences in self-reported comprehension of health information (N=3491)
| Self-report questions | ||||||||
|---|---|---|---|---|---|---|---|---|
| UND1 | UND2 | UND3 | UND4 | ASS1 | ASS2 | ASS3 | ASS4 | |
| OLS models | β-Coefficient | β-Coefficient | β-Coefficient | β-Coefficient | β-Coefficient | β-Coefficient | β-Coefficient | β-Coefficient |
| Model 1: gender only | ||||||||
| Male | 0.082** | 0.076** | 0.086** | 0.084** | 0.132** | 0.127** | 0.125** | 0.133* |
| Model 2: gender+controls† | ||||||||
| Male | 0.016 | 0.009 | 0.021 | 0.016 | 0.066** | 0.057** | 0.065** | 0.068** |
| Model 3: gender+controls+gender*HL | ||||||||
| Male | −0.033* | −0.044** | −0.015 | −0.021 | 0.009 | −0.002 | 0.023 | 0.022 |
| Male×marginal HL | 0.023 | 0.021 | 0.016 | 0.022 | 0.007 | 0.008 | 0.009 | 0.019 |
| Male×inadequate HL | 0.161** | 0.178** | 0.121** | 0.123** | 0.208** | 0.217** | 0.152** | 0.159** |
*Statistically significant at p<0.05.
**Statistically significant at p<0.01.
†Controls include: age, health literacy level (adequate HL being the reference), educational attainment, personal income and residential location.