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Validation of the Short-Form Health Literacy Questionnaire (HLS-SF12) and Its Determinants among People Living in Rural Areas in Vietnam

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TLDR
The use of a comprehensive short-form HL survey tool (HLS-SF12) is validated and the determinants of HL among people in rural areas and a number of personal characteristics were strongly associated with HL.
Abstract
Background: Health literacy (HL) is an important factor in improving health inequalities in poor and marginalized groups. Assessing comprehensive HL is critical. In this study, we validated the use of a comprehensive short-form HL survey tool (HLS-SF12) and examined the determinants of HL among people in rural areas. Methods: A cross-sectional study was conducted in July 2019 on 440 people residing in mountainous areas in Vietnam. Health literacy was measured using the HLS-SF12. Personal characteristics were also collected. We analyzed data using confirmatory factor analysis, internal consistency analysis, and regression analysis. Results: The questionnaire demonstrated a good construct validity with satisfactory goodness-of-fit indices and item-scale convergent validity. The tool was reliable and homogeneous with Cronbach’s alpha = 0.79, with no floor/ceiling effects. People who were married had lower HL (regression coefficient B = −3.12; 95% confidence interval (CI) = −5.69, −0.56; p = 0.017) compared with those who never married. Higher education attainment (B = 3.41 to 10.44; p < 0.001), a better ability to pay for medication (B = 4.17 to 9.89; p < 0.001), and a tendency to view health-related TV/radio more often (B = 5.23 to 6.15; p < 0.001) were associated with higher HL. Conclusions: The HLS-SF12 is a valid survey tool for the evaluation of HL in rural populations. A number of personal characteristics were strongly associated with HL.

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Interdisciplinary Perspectives on Health Literacy Research Around the World: More Important Than Ever in a Time of COVID-19.

TL;DR: This special issue sought to pull together interdisciplinary threads guided by two principles, defining health literacy as essential skills and situational resources needed for people to find, understand, evaluate, communicate, and use information and services in a variety of forms across various settings throughout their life course to promote health and wellbeing.
References
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TL;DR: G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested.

Transforming our world : The 2030 Agenda for Sustainable Development

Un Desa
TL;DR: The Scoping meeting on collaboration between Regional Seas Programmes and Regional Fisheries Bodies in the Southwest Indian Ocean is described in this article, where the authors propose a framework for collaboration between regional sea programmes and regional fisheries bodies in the Indian Ocean.
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Quality criteria were proposed for measurement properties of health status questionnaires

TL;DR: The criteria can be used in systematic reviews of health status questionnaires, to detect shortcomings and gaps in knowledge of measurement properties, and to design validation studies.
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Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017

Gregory A. Roth, +1028 more
- 10 Nov 2018 - 
TL;DR: Non-communicable diseases comprised the greatest fraction of deaths, contributing to 73·4% (95% uncertainty interval [UI] 72·5–74·1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional causes accounted for 18·6% (17·9–19·6), and injuries 8·0% (7·7–8·2).
Journal ArticleDOI

Factor analysis in the development and refinement of clinical assessment instruments.

TL;DR: The goals of exploratory and confirmatory factor analysis are described and procedural guidelines for each approach are summarized in this article, emphasizing the use of factor analysis in developing and refining clinical measures for assessing the invariance of measures across samples and for evaluating multitrait-multimethod data.
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