Department of Health Sciences, University of Florence, Florence, Italy.
BMJ Open. 2019 Jun 19;9(6):e026356. doi: 10.1136/bmjopen-2018-026356.
To assess the level of functional health literacy (HL) and its antecedents and consequences in an adult population-based sample, using the Italian version of Newest Vital Sign (NVS-IT).
Cross-sectional study.
General population.
984 people were randomly selected from the resident registers of 11 general practitioners; a total of 452 (46.2%) of the selected people completed the study. Inclusion criteria were the following: 18-69 years of age and Italian speaking. Exclusion criteria included cognitive impairment, severe psychiatric diseases and end-stage diseases.
HL levels as assessed by the NVS-IT and the following potential HL predictors and consequences were assessed using logistic regression models: sociodemographic characteristics, body mass index, presence of long-term illnesses, self-reported health status, health services use in the last 12 months.
High likelihood of limited HL, possibility of limited HL and adequate HL were found in 11.5%, 24.6% and 63.9% of the sample, respectively. The results of the multivariate logistic model for the antecedents showed that the risk of having high likelihood or possibility of limited HL levels increases with age (OR 1.07, 95% CI 1.05 to 1.09), lower educational level (OR 4.03; 95% CI 3.41 to 7.49) and with worse financial situation (OR 1.64; 95% CI 1.17 to 2.63). As far as health outcomes are concerned, HL resulted to be positively associated with self-reported health status (OR 2.25, 95% CI 1.75 to 2.75).
Findings show a good level of functional HL in the population. However, older, less educated and poorer population groups showed to have a higher likelihood of suffering from limited or inadequate HL. Efforts should be made to design and implement public health policies and interventions tailored to different HL levels.
CEAVC:10113.
使用意大利版最新生命体征(NVS-IT)评估基于人群的成年样本的功能健康素养(HL)水平及其影响因素。
横断面研究。
一般人群。
从 11 位全科医生的居民登记册中随机选择了 984 人;共有 452 名(46.2%)被选中的人完成了研究。纳入标准为:18-69 岁,意大利语。排除标准包括认知障碍、严重精神疾病和终末期疾病。
使用 NVS-IT 评估 HL 水平,并使用逻辑回归模型评估以下潜在 HL 预测因素和结果:社会人口统计学特征、体重指数、长期疾病存在、自我报告的健康状况、过去 12 个月内的卫生服务使用情况。
研究结果表明,高、中、低 HL 的发生率分别为 11.5%、24.6%和 63.9%。多变量逻辑模型结果表明,年龄(OR 1.07,95%CI 1.05-1.09)、较低的教育水平(OR 4.03,95%CI 3.41-7.49)和较差的经济状况(OR 1.64,95%CI 1.17-2.63)与 HL 水平较高或可能性有限呈正相关。就健康结果而言,HL 与自我报告的健康状况呈正相关(OR 2.25,95%CI 1.75-2.75)。
研究结果表明,该人群的功能 HL 水平较高。然而,年龄较大、教育程度较低和经济状况较差的人群患有限或不足 HL 的可能性更高。应努力设计和实施针对不同 HL 水平的公共卫生政策和干预措施。
CEAVC:10113。