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. 2024 Apr 10;24(1):1002.
doi: 10.1186/s12889-024-18542-6.

Prevalence of dyslipidaemia within Polish nurses. Cross-sectional study - single and multiple linear regression models and ROC analysis

Anna Bartosiewicz  1 , Justyna Wyszyńska  2 , Piotr Matłosz  3 , Edyta Łuszczki  2 , Łukasz Oleksy  4 , Artur Stolarczyk  5
Affiliations

Prevalence of dyslipidaemia within Polish nurses. Cross-sectional study - single and multiple linear regression models and ROC analysis

Anna Bartosiewicz et al. BMC Public Health. .

Erratum in

Abstract

Background: Maintaining good health is vital not only for own well-being, but also to ensure high-quality patient care. The aim of this study was to evaluate the prevalence of dyslipidaemia and to determine the factors responsible for the development of this disorder among Polish nurses. Lipid profile disorders are the most prevalent and challenging risk factors for the development of cardiovascular disease. Nurses have significant potential and play a crucial role in providing care and treatment services.

Methods: This cross-sectional study involved nurses and included measurements of body weight composition (Tanita MC-980), body mass index, waist circumference, blood pressure (Welch Allyn 4200B), lipid profile, and fasting blood glucose (CardioChek PA).

Results: The results revealed that more than half of the nurses (60.09%) were overweight or obese, with 57.28% exhibiting elevated blood pressure, 32.25% having fasting glucose levels, and 69.14% experiencing dyslipidaemia. Multiple model evaluation using ROC curves demonstrated that multiple models accurately predicted hypercholesterolemia (AUC = 0.715), elevated LDL (AUC = 0.727), and elevated TC (AUC = 0.723) among Polish nurses.

Conclusion: Comprehensive education programmes should be implemented that include the latest advances in cardiovascular disease prevention. Regular check-ups, as well as the promotion and availability of healthy food in hospital canteens, are essential.

Keywords: Dislipidaemia; Metabolic disorders; Nurses; Risk factors.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
ROC curve and AUC value for hypercholesterolaemia
Fig. 2
Fig. 2
ROC curve and AUC value for LDL
Fig. 3
Fig. 3
ROC curve and AUC value for TC
See this image and copyright information in PMC

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