Literature DB >> 27406975

The preventive effects of lifestyle intervention on the occurrence of diabetes mellitus and acute myocardial infarction in metabolic syndrome.

D Kim1, S-J Yoon2, D-S Lim3, Y-H Gong1, S Ko1, Y-H Lee1, H S Lee4, M-S Park4, K-H Kim5, Y A Kim6.   

Abstract

OBJECTIVES: Metabolic syndrome (MS), as a precursor of diabetes mellitus (DM) and cardiovascular disease, is increasing steadily worldwide. We examined the preventive effects of lifestyle intervention on the occurrence of DM and acute myocardial infarction (AMI) in MS. STUDY
DESIGN: Observational study on disease occurrence after lifestyle intervention.
METHODS: The lifestyle intervention was administered to subjects with MS participating in a metropolitan lifestyle intervention program for 1 year. The same numbers of non-participating age- and sex-matched subjects with MS were randomly extracted from national health examination data. After intervention or examination, new occurrences of hypertension, DM, and AMI were identified through the national health insurance claims data during 1 year. For DM and AMI, multivariate logistic regression analysis for the factors affecting each disease was performed.
RESULTS: In the intervention group and the control group (14,918 in each group), the occurrence of hypertension was 555 (6.07%) and 751 (8.33%), the occurrence of DM was 324 (2.55%) and 488 (3.89%), the occurrence of dyslipidemia was 321 (2.59%) and 373 (2.72%), and the occurrence of AMI was 13 (0.09%) and 26 (0.17%), respectively. In multivariate logistic regression analysis, adjusted odds ratios for intervention were 0.752 (95% confidence interval [CI]: 0.644-0.879) and 0.499 (95% CI: 0.251-0.992) for DM and AMI, respectively, indicating that lifestyle intervention has a preventive effect.
CONCLUSIONS: Lifestyle intervention in MS has preventive effects on the occurrence of DM and AMI, and long-term follow-up is needed to evaluate these preventive effects in more detail.
Copyright © 2016. Published by Elsevier Ltd.

Entities:  

Keywords:  Acute myocardial infarction; Diabetes mellitus; Lifestyle intervention; Metabolic syndrome

Mesh:

Year:  2016        PMID: 27406975     DOI: 10.1016/j.puhe.2016.06.012

Source DB:  PubMed          Journal:  Public Health        ISSN: 0033-3506            Impact factor:   2.427


  2 in total

1.  Predicting Diabetes in Patients with Metabolic Syndrome Using Machine-Learning Model Based on Multiple Years' Data.

Authors:  Jing Li; Zheng Xu; Tengda Xu; Songbai Lin
Journal:  Diabetes Metab Syndr Obes       Date:  2022-09-26       Impact factor: 3.249

2.  Impact of longitudinal status change in metabolic syndrome defined by two different criteria on new onset of type 2 diabetes in a general Japanese population: the Tanno-Sobetsu Study.

Authors:  Hirofumi Ohnishi; Shigeyuki Saitoh; Hiroshi Akasaka; Tetsuaki Furukawa; Mitsuru Mori; Tetsuji Miura
Journal:  Diabetol Metab Syndr       Date:  2016-09-05       Impact factor: 3.320

  2 in total

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