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Health Literacy and Blood Glucose Level in Transitional Albania

机译:过渡性阿尔巴尼亚的健康识字和血糖水平

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Aim: Our aim was to assess the independent association between blood glucose level and health literacy (HL) adjusting for many socio-demographic characteristics and body mass index (BMI) in an adult population in Albania, a transitional country in the South Eastern Europe. Methods: A cross-sectional study was carried out in Tirana in 2012–2014 including a population-based sample of 1,154 individuals aged ≥18 years (57% women; mean age: 45.5 ± 16.4 years; response rate: 88.6%). HL was assessed by use of HLS-EU-Q instrument. Blood glucose level was measured in a fasting state by use of rapid finger stick method. Information on socio-demographic characteristics was collected, and BMI was calculated based on measurement of height and weight in all participants. General Linear Model (GLM) and binary logistic regression were used to assess the independent association of blood glucose level and HL adjusting for all socio-demographic factors and BMI. Results: One-third of participants had pre-diabetes (100–125.9 mg/dl) and further 11% had diabetes (≥126 mg/dl) based on the measured blood glucose level. In fully-adjusted GLM, mean blood glucose level was significantly lower among individuals with excellent HL compared with their counterparts with inadequate HL (99.3 vs. 106.0, respectively). Furthermore, the odds for the presence of diabetes in the group of study participants whose HL was “inadequate” were 2.6 times higher (95% CI = 1.3–5.4) compared to those whose HL was “excellent.” Conclusion: We obtained evidence of a strong and significant inverse relationship between measured blood glucose level and HL, independent of many socio-demographic characteristics and measured BMI in a population-based study in a country of the Western Balkans.
机译:目的:我们的目标是评估血糖水平与健康扫盲(HL)在阿尔巴尼亚成年人群中调整血糖水平和健康扫盲(HL)的独立关联,该特征在阿尔巴尼亚的成年人口中,是东欧的过渡国家。方法:2012 - 2014年在地拉那进行了横截面研究,包括≥18岁的1,154名患者的基于人群的样本(57%的妇女;意思是年龄:45.5±16.4岁;响应率:88.6%)。通过使用HLS-EU-Q仪器评估HL。通过使用快速手指棒法测量血糖水平。收集了社会人口特征的信息,基于所有参与者的高度和体重的测量计算了BMI。通用线性模型(GLM)和二元逻辑回归用于评估所有社会人口因子和BMI的血糖水平和HL调整的独立关联。结果:三分之一的参与者患有前糖尿病(100-125.9 mg / dl),另外11%基于测量的血糖水平患有糖尿病(≥126mg/ dl)。在完全调整的GLM中,与具有不足的HL的对应物相比,平均血糖水平在具有优异HL的个体中显着降低(分别为99.3与106.0)。此外,与那些HL为“优异”的人相比,该研究参与者中的糖尿病患者中存在糖尿病的含量比为2.6倍(95%CI = 1.3-5.4)。结论:我们获得了测量血糖水平与HL之间具有强烈而显着的反相关系的证据,与许多社会人口统计学特征无关,并在西巴尔干的一个国家的基于人群的研究中测量BMI。

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