School of Medicine, University of Tasmania, Hobart, Australia.
Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia.
PLoS One. 2022 Apr 20;17(4):e0267265. doi: 10.1371/journal.pone.0267265. eCollection 2022.
To identify factors that predict poor health literacy amongst people with diabetes.
Cross-sectional analysis of baseline data from a prospective study of diabetic foot disease.
Patients attending a tertiary hospital diabetes outpatient clinic in Tasmania, Australia.
222 people with diabetes mellitus, aged >40 years, with no history of foot ulceration, psychotic disorders or dementia.
Health literacy was measured using the short form Test of Functional Health Literacy in Adults (functional health literacy), and the Health Literacy Questionnaire (HLQ), which measures nine domains of health literacy. Predictors included demographic characteristics, cognition, diabetes distress, depression, and educational attainment.
In multivariable analysis, greater educational attainment (OR 0.88, 95% CI 0.76, 0.99) and poorer cognition (OR 0.71, 95% CI 0.63, 0.79) were associated with poorer functional health literacy. Age was negatively associated with domains of appraisal of health information and ability to find good health information (both beta = -0.01). Educational attainment was positively associated with four domains, namely having sufficient information to manage my health, actively managing my health, appraisal of and ability to find good health information (beta ranging from +0.03 to 0.04). Diabetes distress was negatively associated with five domains: having sufficient information to manage my health, social support for health, ability to actively engage with healthcare providers, navigating the healthcare system and ability to find good health information (beta ranging from -0.14 to -0.18).
Poorer cognition and poorer educational attainment may be detrimental for an individual's functional health literacy, and education, diabetes distress and older age detrimental across multiple health literacy domains. Clinicians and policy makers should be attuned to these factors when communicating with people with diabetes and in designing healthcare systems to be more health-literacy friendly in order to improve diabetes outcomes.
确定预测糖尿病患者健康素养低下的因素。
对澳大利亚塔斯马尼亚州一家三级医院糖尿病门诊前瞻性研究的基线数据进行横断面分析。
222 名年龄>40 岁、无足部溃疡、精神障碍或痴呆史的 2 型糖尿病患者。
使用成人功能性健康素养测试(功能性健康素养)和健康素养问卷(HLQ)测量健康素养,后者测量健康素养的九个领域。预测因素包括人口统计学特征、认知、糖尿病困扰、抑郁和教育程度。
在多变量分析中,较高的教育程度(OR 0.88,95%CI 0.76,0.99)和较差的认知能力(OR 0.71,95%CI 0.63,0.79)与较差的功能性健康素养相关。年龄与健康信息评估和寻找优质健康信息的能力呈负相关(均为 beta=-0.01)。教育程度与四个领域呈正相关,即有足够的信息来管理我的健康、积极管理我的健康、评估和寻找优质健康信息(beta 范围为+0.03 至+0.04)。糖尿病困扰与五个领域呈负相关:有足够的信息来管理我的健康、健康的社会支持、积极与医疗保健提供者互动的能力、在医疗保健系统中导航和寻找优质健康信息的能力(beta 范围为-0.14 至-0.18)。
较差的认知能力和较差的教育程度可能对个体的功能性健康素养有害,而教育程度、糖尿病困扰和年龄较大则对多个健康素养领域有害。临床医生和政策制定者在与糖尿病患者沟通和设计更有利于健康素养的医疗体系时,应关注这些因素,以改善糖尿病结局。