Distribution of metabolic/obese phenotypes and association with diabetes: 5 years' cohort based on 22,276 elderly
- PMID: 30006803
- DOI: 10.1007/s12020-018-1672-7
Distribution of metabolic/obese phenotypes and association with diabetes: 5 years' cohort based on 22,276 elderly
Abstract
Aims: To describe the distribution and changes of different metabolic/obese phenotypes among more than 22,000 male elderly in China, and also explore the association with diabetes incidence.
Methods: A cohort study based on 22,276 male elderly was conducted in Beijing, from 2009 to 2013. Multiple Cox model was used to calculate the relative risk.
Results: There were only 53.8% of total participants who kept the same phenotype for the 5 years. On the whole, participants with metabolically unhealthy phenotypes had higher relative risks (RRs) than those with metabolically healthy phenotypes. RRs for diabetes showed an increasing trend along with metabolic abnormalities (p < 0.001). However, no statistically significant difference was found across different obese status with the same number of metabolic abnormalities. Changes of metabolic/obese status also showed the same trend. Those who had kept metabolic unhealthy had the highest RRs for diabetes incidence, which was higher than those who kept obesity.
Conclusions: Both metabolically healthy obesity and metabolically unhealthy normal weight phenotypes had an increased risk for diabetes incidence, and metabolic abnormalities might have more influence on diabetes than obesity itself. Changes of metabolic/obese status also had an important impact on diabetes incidence.
Keywords: Cohort study; Diabetes; Elderly; Metabolically healthy obesity; Metabolically unhealthy normal weight.
Similar articles
-
Transition from metabolic healthy to unhealthy phenotypes and association with cardiovascular disease risk across BMI categories in 90 257 women (the Nurses' Health Study): 30 year follow-up from a prospective cohort study.Lancet Diabetes Endocrinol. 2018 Sep;6(9):714-724. doi: 10.1016/S2213-8587(18)30137-2. Epub 2018 May 31. Lancet Diabetes Endocrinol. 2018. PMID: 29859908
-
Natural course of metabolically healthy phenotype and risk of developing Cardiometabolic diseases: a three years follow-up study.BMC Endocr Disord. 2021 Apr 28;21(1):85. doi: 10.1186/s12902-021-00754-1. BMC Endocr Disord. 2021. PMID: 33910543 Free PMC article.
-
Obesity Metabolic Phenotype, Changes in Time and Risk of Diabetes Mellitus in an Observational Prospective Study on General Population.Int J Public Health. 2022 Sep 29;67:1604986. doi: 10.3389/ijph.2022.1604986. eCollection 2022. Int J Public Health. 2022. PMID: 36250153 Free PMC article.
-
Relations of Metabolically Healthy and Unhealthy Obesity to Digital Vascular Function in Three Community-Based Cohorts: A Meta-Analysis.J Am Heart Assoc. 2017 Mar 8;6(3):e004199. doi: 10.1161/JAHA.116.004199. J Am Heart Assoc. 2017. PMID: 28275071 Free PMC article. Review.
-
Risk of hypertension among different metabolic phenotypes: a systematic review and meta-analysis of prospective cohort studies.J Hum Hypertens. 2019 May;33(5):365-377. doi: 10.1038/s41371-018-0146-y. Epub 2018 Dec 19. J Hum Hypertens. 2019. PMID: 30568291
Cited by
-
Metabolically Abnormal But Normal-Weight Individuals Had a Higher Risk of Type 2 Diabetes Mellitus in a Cohort Study of a Chinese Population.Front Endocrinol (Lausanne). 2021 Nov 3;12:724873. doi: 10.3389/fendo.2021.724873. eCollection 2021. Front Endocrinol (Lausanne). 2021. PMID: 34803907 Free PMC article.
-
Risk of type 2 diabetes according to the cumulative exposure to metabolic syndrome or obesity: A nationwide population-based study.J Diabetes Investig. 2020 Nov;11(6):1583-1593. doi: 10.1111/jdi.13304. Epub 2020 Jun 28. J Diabetes Investig. 2020. PMID: 32449283 Free PMC article.
-
Metabolically healthy obesity: Is it really healthy for type 2 diabetes mellitus?World J Diabetes. 2022 Feb 15;13(2):70-84. doi: 10.4239/wjd.v13.i2.70. World J Diabetes. 2022. PMID: 35211245 Free PMC article. Review.
-
Association of remnant cholesterol with CVD incidence: a general population cohort study in Southwest China.Front Cardiovasc Med. 2023 Nov 27;10:1286286. doi: 10.3389/fcvm.2023.1286286. eCollection 2023. Front Cardiovasc Med. 2023. PMID: 38089771 Free PMC article.
-
Impact of the Dynamic Change of Metabolic Health Status on the Incident Type 2 Diabetes: A Nationwide Population-Based Cohort Study.Endocrinol Metab (Seoul). 2019 Dec;34(4):406-414. doi: 10.3803/EnM.2019.34.4.406. Endocrinol Metab (Seoul). 2019. PMID: 31884741 Free PMC article.
References
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical