The association between health literacy and ehealth literacy in young adult population in Poland

AbstractThe use of filters and editing tools for perfecting selfies is increasing. While some aesthetic experts have touted the ability of this technology to help patients convey their aesthetic goals, others have expressed concerns about the unrealistic expectations that may come from the ability for individuals to digitally alter their own photos in these so-called “super-selfies.” The aim of the study is to determine the changes that individuals seek when enhancing selfies. Twenty subjects participated in this study between July 25 and September 24, 2019. Subjects had two sets of headshots taken (neutral and smile) and were provided an introduction on the use of the Facetune2 app. Subjects received a digital copy of their photographs and were asked to download the free mobile app. After 1 week of trialing the different tools for enhancing their appearance, subjects submitted their self-determined most attractive edited photographs. Changes in marginal reflex distance (MRD) 1 and 2, nose height and width, eyebrow height, facial width, skin smoothness, skin hue, and saturation as well as overall image brightness were recorded. Paired two-tailed t-test was used to evaluate pre- and post-facial measurements. There were no statistically significant changes identified in the analysis of the altered photos in neutral expression. Analysis of all smiling photographs revealed that subjects increased their smile angle (right: +2.92 mm, p = 0.04; left: +3.58 mm, p < 0.001). When smiling photographs were assessed by gender, females were found to significantly increase their MRD2 (right: +0.64 mm, p = 0.04; left: +0.74 mm, p = 0.05) and their smile angle (right: +1.90 mm, p = 0.03; left: +2.31 mm, p = 0.005) while also decreasing their nose height (−2.8 mm, p = 0.04). Males did not significantly alter any of the facial measurements assessed. This study identifies the types of changes that individuals seek when enhancing selfies and specifies the different aspects of image adjustment that may be sought based on a patient's gender.

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E-health and health literacy of young adult Ukrainian female immigrants and Polish counterparts

European Journal of Public Health ◽

10.1093/eurpub/ckaa166.783 ◽

2020 ◽

Vol 30 (Supplement_5) ◽

Author(s):

Y Krasko ◽

J Marianowska ◽

M Duplaga

Keyword(s):

Health Status ◽

Health Literacy ◽

Young Adult ◽

Online Survey ◽

Health Behaviours ◽

Study Groups ◽

University Education ◽

Fisher Exact Test ◽

Exact Test ◽

Ehealth Literacy

Abstract Background According to recent projections, even 10% of Polish gross domestic product is contributed by Ukrainian immigrants. There is also a considerable number of Ukrainians continuing university education in Poland. The level of health literacy in Ukrainian society has not been studied so far. The aim of the study was the comparison of health literacy (HL) and e-health literacy (eHL) of young adult Ukrainian (UA) women with their Polish (PL) counterparts Methods A snowball technique was used to recruit a sample of UA women working or studying in Poland to the Internet-based survey. The questionnaire used in the study consisted of the 16-item European HL Survey questionnaire (HLS-EU-16), eHealth Literacy Scale (eHEALS), the set of the questions asking about health behaviours (HB), self-assessment of health status (HS) and items exploring sociodemographic variables. For comparison, the data of an age-matched sample of 100 respondents was extracted from the online survey performed in a representative sample of PL women. Results The mean age (standard deviation, SD) of 57 UA respondents was 20.23 (1.78) years and in Polish sample 20.25 (1.79). HL did not differ between both groups (11.06 (4.22) vs 11.44 (4.34), respectively, p = 0.53), but eHL was significantly lower in UA group (25.91 (5.36) vs 28.17 (5.37), U Mann-Whitney test, p = 0.01). Only 58.5% of UA respondents vs 80.5% of PL ones assessed their HS as at least good (Fisher exact test, p < 0.001). The rates of active smoking (34.6% vs. 35.0%, p = 0.55), using e-cigarettes (35.3% vs 34.0%, p = 0.99), frequent alcohol consumption (26.9% vs. 20%, p = 0.41), and intensive physical activity (49.0% vs. 38.0%, p = 0.22) did not differ between study groups. Conclusions Young UA women show lower eHL than PL counterparts. Although HL and HB in both groups did not differ significantly, UA respondents have assessed their HS much lower than PL participants. Key messages E-health literacy and self-assessed health status were significantly lower among young Ukrainian than among Polish women. Both groups did not differ for health literacy and health behaviours.

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