Structural Analysis of the Health Literacy Facet Access to Information on General Health, COVID-19 Infection Prevention, and Early Childhood Allergy Prevention in Pregnant Women and Mothers of Infants

IF 0.6 4区 心理学 Q4 PSYCHOLOGY, CLINICAL
M. Wirtz, C. Dresch, Andrea Heiberger, A. A. Schulz
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Abstract

Abstract. The health literacy (HL) facet Access to health information is measured in the European Health Literacy Survey (HLS-EU-Q47) by 12 items. To assess Access, we developed adapted item formulations for COVID-19 infection prevention (COVID-19-IP) and early childhood allergy prevention (ECAP) in addition to the original 12 items on General Health (GH). N = 343 (expectant) mothers of infants answered the items in an online assessment. Confirmatory structural analyses for ordinal data were adopted (WLSMV-algorithm). Women’s item ratings varied significantly across domains (η2 = .017 – .552). Bi-factor models exhibited the best data fit (GH / COVID-19-IP / ECAP: CFI = .964 / .968 / .977; SRMR: .062 / .069 / .035): The general factor Access most strongly determined item information. Additionally, three subfactors contributed significantly (but rather weakly) to the item information in each domain. The overall score Access proved to be internally consistent (McDonald’s ωGH/COVID-19-IP/ECAP = .874 / .883 / .897) and was associated with socioeconomic state (McArthur scale; rGH/COVID-19-IP/ECAP = .218 / .210 / .146). Access correlated not or only weakly with the other HL facets Understand, Appraise, and Apply. The health domains GH, COVID-19-IP, and ECAP moderated both the difficulty and the dimensional structure of the 12 Access items. This suggests that in the HLS-EU Access reflects not only the search competence but also the availability of health information.
孕妇和婴儿母亲一般健康、新冠肺炎感染预防和儿童早期过敏预防信息的健康素养面结构分析
摘要在欧洲健康素养调查(HLS-EU-Q47)中,健康素养(HL)方面的健康信息获取由12个项目衡量。为了评估Access,我们开发了适用于新冠肺炎感染预防(COVID-19-IP)和儿童早期过敏预防(ECAP)的项目配方,除了普通健康(GH)的最初12个项目。在一项在线评估中,343名(准)婴儿母亲回答了这些问题。采用顺序数据的验证性结构分析(WLSMV算法)。不同领域的女性项目评分差异显著(η2=.017 – .552)。双因素模型显示出最佳的数据拟合(GH / 新冠肺炎-IP / ECAP:CFI=.964 / .968 / .977;SRMR:.062 / .069 / .035):一般因素访问最确定的项目信息。此外,三个子因素对每个领域中的项目信息贡献很大(但相当微弱)。总体得分Access被证明是内部一致的(McDonald'sωGH/COVID-19-IP/ECAP=.874 / .883 / .897),并与社会经济状况相关(McArthur量表;rGH/COVID-19-IP/ECAP=.218 / .210 / .146)。Access和其他HL方面的理解、评估和应用没有关联,或者只是微弱关联。健康领域GH、COVID-19-IP和ECAP调节了12个Access项目的难度和维度结构。这表明,在HLS-EU中,访问不仅反映了搜索能力,还反映了健康信息的可用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Diagnostica
Diagnostica PSYCHOLOGY, CLINICAL-
CiteScore
1.30
自引率
0.00%
发文量
29
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