Background The relationship of health literacy (HL) with objective measures including anthropometric measurements remains an under-researched topic to date. Objective To assess the association between body mass index (BMI) and HL among Albanian adults. Methods A cross-sectional study was conducted in Tirana, Albania, in 2012–2014 including a population-based sample of 1154 individuals aged ≥18 years. HL was assessed by the use of HLS-EU-Q instrument. Anthropometrics included measurement of weight and height based on which BMI was calculated. Information on socio-demographic characteristics was also collected. Logistic regression was employed to assess the independent association of BMI and HL controlling all socio-demographic factors. Results One-fifth of the participants reported an inadequate HL level, whereas almost one-third (31%) reported an excellent HL level. About 41% of study participants were overweight and further 22% were obese. In multivariate analysis, there was evidence of a strong and significant association between BMI and HL: the odds of overweight/obesity were two times higher (OR = 2.0, 95% CI = 1.3–3.1) among inadequate HL individuals compared with excellent HL participants. Conclusion Our findings, pertinent to a transitional country in the South East Europe, point to a strong, consistent and highly significant association between BMI and HL, irrespective of a wide array of socio-demographic characteristics.

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.

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