Postgraduate Program in Health, Environment and Society in the Amazon, Institute of Health Sciences, Federal University of Pará (UFPA), Belém 66050-160, Brazil.
Faculty of Physiotherapy and Occupational Therapy (FFTO), Federal University of Pará (UFPA), Belém 66075-110, Brazil.
Int J Environ Res Public Health. 2023 Feb 9;20(4):3082. doi: 10.3390/ijerph20043082.
Health literacy (HL) and its domains (functional, critical, and communicative) appear to be related to self-care adherence in people with type 2 diabetes mellitus (DM2). This study aimed to verify if sociodemographic variables are predictors of HL, if HL and the sociodemographic factors affect biochemical parameters together, and if HL domains are predictors of self-care in DM2.
We used the baseline assessment data from 199 participants ≥ 30 years in the project, "Amandaba na Amazônia: Culture Circles as a Strategy to Encourage Self-care for DM in Primary Health Care," which took place in November and December 2021.
In the HL predictor analysis, women ( = 0.024) and higher education ( = 0.005) were predictors of better functional HL. The predictors of biochemical parameters were: glycated hemoglobin control with low critical HL ( = 0.008); total cholesterol control with female sex ( = 0.004), and low critical HL ( = 0.024); low-density lipoprotein control with female sex ( = 0.027), and low critical HL ( = 0.007); high-density lipoprotein control with female sex ( = 0.001); triglyceride control with low Functional HL ( = 0.039); high levels of microalbuminuria with female sex ( = 0.014). A low critical HL was a predictor of a lower specific diet ( = 0.002) and a low total HL of low medication care ( = 0.027) in analyses of HL domains as predictors of self-care.
Sociodemographic factors can be used to predict HL, and HL can predict biochemical parameters and self-care.
健康素养（HL）及其领域（功能性、批判性和交际性）似乎与 2 型糖尿病（DM2）患者的自我护理依从性有关。本研究旨在验证社会人口统计学变量是否可以预测 HL，HL 和社会人口统计学因素是否共同影响生化参数，以及 HL 领域是否可以预测 DM2 患者的自我护理。
我们使用了“Amandaba na Amazônia：文化圈作为初级保健中鼓励 DM 自我护理的策略”项目中 199 名年龄在 30 岁以上的参与者的基线评估数据，该项目于 2021 年 11 月至 12 月进行。
在 HL 预测分析中，女性（ = 0.024）和高学历（ = 0.005）是更好的功能性 HL 的预测因素。生化参数的预测因素为：低批判性 HL 控制糖化血红蛋白（ = 0.008）；女性控制总胆固醇（ = 0.004）和低批判性 HL（ = 0.024）；女性控制低密度脂蛋白（ = 0.027）和低批判性 HL（ = 0.007）；高密度脂蛋白控制女性（ = 0.001）；低功能性 HL 控制甘油三酯（ = 0.039）；女性高水平微量白蛋白尿（ = 0.014）。在 HL 领域作为自我护理预测因素的分析中，低批判性 HL 是较低特定饮食（ = 0.002）和较低药物护理总 HL 的预测因素（ = 0.027）。
社会人口统计学因素可用于预测 HL，HL 可预测生化参数和自我护理。
