» Articles » PMID: 36909345

Lifestyle Intervention Reduces Risk Score for Cardiovascular Mortality in Company Employees with Pre-diabetes or Diabetes Mellitus - A Secondary Analysis of the PreFord Randomized Controlled Trial with 3 Years of Follow-up

Abstract

Aim: To evaluate the effects of a multimodal intervention (including exercise training, psychosocial interventions, nutrition coaching, smoking cessation program, medical care) on the health and long-term cardiovascular disease (CVD) mortality risk of company employees with pre-diabetes or diabetes mellitus (DM) at high CVD risk.

Methods: In the PreFord study, German company employees (n=4196) participated in a free-of-charge CVD mortality risk screening at their workplace. Based on their European Society of Cardiology - Systematic Coronary Risk Evaluation score (ESC-SCORE), they were subdivided into three risk groups. High-risk patients (ESC-SCORE≥5%) were randomly assigned to a 15-week lifestyle intervention or usual care control group. Data from patients with pre-DM/DM were analyzed intention-to-treat (ITT: n=110 versus n=96) and per protocol (PP: n=60 versus n=52).

Results: Body mass index, glycated hemoglobin, total cholesterol, low-density lipoprotein, triglyceride levels as well as systolic and diastolic blood pressure improved through the intervention (ITT, PP: p<0.001). The ESC-SCORE markedly decreased from pre- to post-intervention (ITT, PP: p<0.001). ESC-SCORE changes from baseline differed significantly between the groups, with the intervention group achieving more favorable results in all follow-up visits 6, 12, 24 and 36 months later (at each time point: ITT: p<0.001; PP: p ≤ 0.010).

Conclusion: The study demonstrates the feasibility of attracting employees with pre-DM/DM at high CVD mortality risk to participate in a multimodal lifestyle program following a free CVD mortality risk screening at their workplace. The lifestyle intervention used in the PreFord study shows high potential for improving health of company employees with pre-DM/DM in the long term. ISRCTN23536103.

Citing Articles

Association between heme oxygenase-1 and hyperlipidemia in pre-diabetic patients: a cross-sectional study.

Fan S, Yang Y, Li X, Liu J, Qiu Y, Yan L Front Endocrinol (Lausanne). 2024; 15:1380163.

PMID: 38846488 PMC: 11153693. DOI: 10.3389/fendo.2024.1380163.


The relationship between different exercise conditions and pericoronary inflammation as quantified by coronary CTA in coronary artery disease.

Xi H, Jing M, Sun Q, Wang Y, Zhu H, Zhou J Heliyon. 2024; 10(3):e25316.

PMID: 38352755 PMC: 10861983. DOI: 10.1016/j.heliyon.2024.e25316.


Lean nonalcoholic fatty liver disease and sarcopenia.

Chen M, Cao Y, Ji G, Zhang L Front Endocrinol (Lausanne). 2023; 14:1217249.

PMID: 37424859 PMC: 10327437. DOI: 10.3389/fendo.2023.1217249.

References
1.
Tuso P . Prediabetes and lifestyle modification: time to prevent a preventable disease. Perm J. 2014; 18(3):88-93. PMC: 4116271. DOI: 10.7812/TPP/14-002. View

2.
Kahm K, Laxy M, Schneider U, Rogowski W, Lhachimi S, Holle R . Health Care Costs Associated With Incident Complications in Patients With Type 2 Diabetes in Germany. Diabetes Care. 2018; 41(5):971-978. DOI: 10.2337/dc17-1763. View

3.
Fuller H, Alberti H . Barriers to lifestyle changes in people with diabetes. Br J Gen Pract. 2017; 67(655):61. PMC: 5308095. DOI: 10.3399/bjgp17X689005. View

4.
Wei M, Gaskill S, Haffner S, Stern M . Effects of diabetes and level of glycemia on all-cause and cardiovascular mortality. The San Antonio Heart Study. Diabetes Care. 1998; 21(7):1167-72. DOI: 10.2337/diacare.21.7.1167. View

5.
Qazi M, Malik S . Diabetes and Cardiovascular Disease: Original Insights from the Framingham Heart Study. Glob Heart. 2013; 8(1):43-48. PMC: 3610922. DOI: 10.1016/j.gheart.2012.12.008. View