Diabetes mellitus risk in post-myocardial infarction patients: FINDRISC versus self-assessment-a cross sectional study

被引:0
作者
Nolken, Karianne [1 ,2 ,3 ]
Linseisen, Jakob [1 ,2 ]
Raake, Philip [4 ]
Meisinger, Christine [1 ]
Schmitz, Timo [1 ]
机构
[1] Univ Augsburg, Med Fac, Epidemiol, Augsburg, Germany
[2] LMU, Inst Med Informat Proc Biometry & Epidemiol IBE, Fac Med, Munich, Germany
[3] Pettenkofer Sch Publ Hlth, Munich, Germany
[4] Univ Hosp Augsburg, Dept Cardiol Resp Med & Intens Care, Augsburg, Germany
关键词
Myocardial infarction; Diabetes Mellitus; FINDRISC; Self-perception; Risk score; TYPE-2; PREDICTION; VALIDITY; DISEASE; ADULTS; SCORE;
D O I
10.1186/s12933-024-02551-1
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
BackgroundThe aim of this study was to investigate the difference between perceived and calculated diabetes risks among post-myocardial infarction (AMI) patients using the Finnish Diabetes Risk Score (FINDRISC).MethodsThe study population includes individuals from the Myocardial Infarction Registry in Augsburg, Germany, who had not been previously diagnosed with diabetes and who received a postal follow-up questionnaire after hospital discharge. A total of 466 participants completed the questionnaire, which collected information on age, sex, body mass index (BMI), waist circumference, physical activity, eating habits, use of antihypertensive medication, previous hyperglycemia, and family history of diabetes. These factors are components of the FINDRISC score, which estimates the likelihood of developing diabetes within the next 10 years. Furthermore, the participants were asked, how they would rate their personal risk to develop diabetes. The analysis focused on determining how many post-AMI patients correctly estimated their diabetes risk compared to the risk calculated by the FINDRISC score. Furthermore, multivariable logistic regression was used to analyze determinants associated with risk underestimation.ResultsResults showed that a significant proportion of the AMI population (58%) underestimated their diabetes risk. This underestimation was significantly associated with older age, higher BMI, greater waist circumference, elevated blood glucose levels, use of antihypertensive medication and a family history of diabetes. Higher education contributed to more accurate risk perception.ConclusionThis study contributes to the understanding of diabetes risk perception in AMI patients and highlights the need for improving diabetes risk awareness through targeted education and healthcare communication interventions. These efforts can help patients understand their health risks, which improves health outcomes and preventive care.
引用
收藏
页数:10
相关论文
共 24 条
[1]   Perceptions of risk in adults with a low or high risk profile of developing type 2 diabetes; a cross-sectional population-based study [J].
Adriaanse, Marcel C. ;
Twisk, Jos W. R. ;
Dekker, Jacqueline M. ;
Spijkerman, Annemieke M. W. ;
Nijpels, Giel ;
Heine, Robert J. ;
Snoek, Frank J. .
PATIENT EDUCATION AND COUNSELING, 2008, 73 (02) :307-312
[2]   Perception of inherited risk in type 2 diabetes: a systematic review [J].
Airikkala, Elisa ;
Laaksonen, Mari ;
Halkoaho, Arja ;
Kaunonen, Marja .
FRONTIERS IN PUBLIC HEALTH, 2023, 11
[3]   Association of comorbidities with clinical outcomes in patients after acute myocardial infarction [J].
Baechli, Ciril ;
Koch, Daniel ;
Bernet, Selina ;
Gut, Lara ;
Wagner, Ulrich ;
Mueller, Beat ;
Schuetz, Philipp ;
Kutz, Alexander .
IJC HEART & VASCULATURE, 2020, 29
[4]   Finnish Diabetes Risk Score Is Associated with Impaired Insulin Secretion and Insulin Sensitivity, Drug-Treated Hypertension and Cardiovascular Disease: A Follow-Up Study of the METSIM Cohort [J].
Fizelova, Maria ;
Jauhiainen, Raimo ;
Stancakova, Alena ;
Kuusisto, Johanna ;
Laakso, Markku .
PLOS ONE, 2016, 11 (11)
[5]   Understanding perceived risk of type 2 diabetes in healthy middle-aged adults: A cross-sectional study of associations with modelled risk, clinical risk factors, and psychological factors [J].
Godino, Job G. ;
van Sluijs, Esther M. F. ;
Sutton, Stephen ;
Griffin, Simon J. .
DIABETES RESEARCH AND CLINICAL PRACTICE, 2014, 106 (03) :412-419
[6]   Perceived diabetes risk and related determinants in individuals with high actual diabetes risk: results from a nationwide population-based survey [J].
Heidemann, Christin ;
Paprott, Rebecca ;
Stuhmann, Lena M. ;
Baumert, Jens ;
Muhlenbruch, Kristin ;
Hansen, Sylvia ;
Schiborn, Catarina ;
Zahn, Daniela ;
Gellert, Paul ;
Scheidt-Nave, Christa .
BMJ OPEN DIABETES RESEARCH & CARE, 2019, 7 (01)
[7]   Predicting risk of type 2 diabetes in England and Wales: prospective derivation and validation of QDScore [J].
Hippisley-Cox, Julia ;
Coupland, Carol ;
Robson, John ;
Sheikh, Aziz ;
Brindle, Peter .
BMJ-BRITISH MEDICAL JOURNAL, 2009, 338 :811-816
[8]   Exploring the Complex Connection Between Diabetes and Cardiovascular Disease: Analyzing Approaches to Mitigate Cardiovascular Risk in Patients With Diabetes [J].
Jyotsna, Fnu ;
Ahmed, Areeba ;
Kumar, Kamal ;
Kaur, Paramjeet ;
Chaudhary, Mitul Hareshkumar ;
Kumar, Sagar ;
Khan, Ejaz ;
Khanam, Bushra ;
Shah, Syeda Urooba ;
Varrassi, Giustino ;
Khatri, Mahima ;
Kumar, Satesh ;
Kakadiya, Kishan Ashokbhai .
CUREUS JOURNAL OF MEDICAL SCIENCE, 2023, 15 (08)
[9]   Non-invasive risk scores for prediction of type 2 diabetes (EPIC-InterAct): a validation of existing models [J].
Kengne, Andre Pascal ;
Beulens, Joline W. J. ;
Peelen, Linda M. ;
Moons, Karel G. M. ;
van der Schouw, Yvonne T. ;
Schulze, Matthias B. ;
Spijkerman, Annemieke M. W. ;
Griffin, Simon J. ;
Grobbee, Diederick E. ;
Palla, Luigi ;
Tormo, Maria-Jose ;
Arriola, Larraitz ;
Barengo, Noel C. ;
Barricarte, Aurelio ;
Boeing, Heiner ;
Bonet, Catalina ;
Clavel-Chapelon, Francoise ;
Dartois, Laureen ;
Fagherazzi, Guy ;
Franks, Paul W. ;
Maria Huerta, Jose ;
Kaaks, Rudolf ;
Key, Timothy J. ;
Khaw, Kay Tee ;
Li, Kuanrong ;
Muehlenbruch, Kristin ;
Nilsson, Peter M. ;
Overvad, Kim ;
Overvad, Thure F. ;
Palli, Domenico ;
Panico, Salvatore ;
Ramon Quiros, J. ;
Rolandsson, Olov ;
Roswall, Nina ;
Sacerdote, Carlotta ;
Sanchez, Maria-Jose ;
Slimani, Nadia ;
Tagliabue, Giovanna ;
Tjonneland, Anne ;
Tumino, Rosario ;
van der A, Daphne L. ;
Forouhi, Nita G. ;
Sharp, Stephen J. ;
Langenberg, Claudia ;
Riboli, Elio ;
Wareham, Nicholas J. .
LANCET DIABETES & ENDOCRINOLOGY, 2014, 2 (01) :19-29
[10]   Knowledge of risk factors for diabetes or cardiovascular disease (CVD) is poor among individuals with risk factors for CVD [J].
Kilkenny, Monique F. ;
Dunstan, Libby ;
Busingye, Doreen ;
Purvis, Tara ;
Reyneke, Megan ;
Orgill, Mary ;
Cadilhac, Dominique A. .
PLOS ONE, 2017, 12 (02)