TY - JOUR
T1 - Associations between metabolic phenotypes and diabetes risk
T2 - A systematic review and meta-analysis
AU - Vera-Ponce, Víctor Juan
AU - Loayza-Castro, Joan A.
AU - Zuzunaga-Montoya, Fiorella E.
AU - Torres-Malca, Jenny Raquel
AU - García-Lara, Rosa A.
AU - Iturregui-Paucar, Cori Raquel
AU - Manrique, Eder Jesús Orihuela
AU - Valladares-Garrido, Mario J.
AU - De La Cruz-Vargas, Jhony A.
N1 - Publisher Copyright:
© 2023
PY - 2023/12/1
Y1 - 2023/12/1
N2 - Introduction: It seems that the risk of developing diabetes cannot be predicted solely based on weight or BMI. Metabolic phenotypes might offer a more precise tool for identifying patients at higher risk of diabetes, thus enabling more effective and targeted preventive interventions. Objective: To determine the association between these metabolic phenotypes and the risk of diabetes. Materials: Systematic Review (SR) with a meta-analysis of cohort studies. The search was carried out in four databases: Pubmed/Medline, SCOPUS, Web of Science, and EMBASE. Metabolic states were classified into six groups: Metabolically Healthy Normal Weight (MHNW), Metabolically Unhealthy Normal Weight (MUNW), Metabolically Healthy Overweight (MHOW), Metabolically Unhealthy Overweight (MUOW), Metabolically Healthy Obesity (MHO), and Metabolically Unhealthy Obesity (MUO). Association measures were presented as odds ratios (OR) and hazard ratios (HR) along with their 95 % confidence intervals (CI95%). Results: A total of six studies were evaluated. For the meta-analysis, only studies using OR as the measure of association were included. Compared with individuals with MHNW, a statistically significant association was found for MUNW (OR: 1.82; CI95% 1.62, 2.04), MHOW (OR: 1.19; CI95% 1.07, 1.32), MUOW (OR: 2.44; CI95% 2.19, 2.72), MHO (OR: 2.14; CI95% 1.52, 3.01), and MUO (OR: 3.94; CI95% 3.28, 4.74). Conclusions: Metabolic phenotypes are significantly associated with the risk of diabetes, regardless of BMI. Further research in this field is required, and should be conducted in other regions of the world where obesity and diabetes rates are rapidly increasing.
AB - Introduction: It seems that the risk of developing diabetes cannot be predicted solely based on weight or BMI. Metabolic phenotypes might offer a more precise tool for identifying patients at higher risk of diabetes, thus enabling more effective and targeted preventive interventions. Objective: To determine the association between these metabolic phenotypes and the risk of diabetes. Materials: Systematic Review (SR) with a meta-analysis of cohort studies. The search was carried out in four databases: Pubmed/Medline, SCOPUS, Web of Science, and EMBASE. Metabolic states were classified into six groups: Metabolically Healthy Normal Weight (MHNW), Metabolically Unhealthy Normal Weight (MUNW), Metabolically Healthy Overweight (MHOW), Metabolically Unhealthy Overweight (MUOW), Metabolically Healthy Obesity (MHO), and Metabolically Unhealthy Obesity (MUO). Association measures were presented as odds ratios (OR) and hazard ratios (HR) along with their 95 % confidence intervals (CI95%). Results: A total of six studies were evaluated. For the meta-analysis, only studies using OR as the measure of association were included. Compared with individuals with MHNW, a statistically significant association was found for MUNW (OR: 1.82; CI95% 1.62, 2.04), MHOW (OR: 1.19; CI95% 1.07, 1.32), MUOW (OR: 2.44; CI95% 2.19, 2.72), MHO (OR: 2.14; CI95% 1.52, 3.01), and MUO (OR: 3.94; CI95% 3.28, 4.74). Conclusions: Metabolic phenotypes are significantly associated with the risk of diabetes, regardless of BMI. Further research in this field is required, and should be conducted in other regions of the world where obesity and diabetes rates are rapidly increasing.
KW - Diabetes mellitus
KW - Metabolism
KW - Obesity
KW - Overweight (source: MeSH NLM)
UR - http://www.scopus.com/inward/record.url?scp=85171133747&partnerID=8YFLogxK
U2 - 10.1016/j.endmts.2023.100142
DO - 10.1016/j.endmts.2023.100142
M3 - Original Article
AN - SCOPUS:85171133747
SN - 2666-3961
VL - 13
JO - Endocrine and Metabolic Science
JF - Endocrine and Metabolic Science
M1 - 100142
ER -
