Previous evidence revealed that central obesity played a vital role in the development of diabetes mellitus (DM). However, because of imbalanced confounding variables, some studies have not wholly established the association between central obesity and diabetes. Propensity score matching (PSM) analysis can minimize the impact of potential confounding variables. Therefore, the aim of the present study was to explore the relationship between central obesity and diabetes in the Japanese population by using PSM analysis. This retrospective cohort study included 15,453 Japanese adults who were free of diabetes at baseline between 2004 and 2015, which provided all medical records for individuals participating in the physical exam. Central obesity at baseline was an independent variable, and incident diabetes during follow-up was an outcome variable. Using a 1:1 PSM analysis, the present retrospective cohort study included 1639 adults with and without central obesity. Additionally, we employed a doubly robust estimation method to identify the association between central obesity and diabetes. Subjects with central obesity were 92% more likely to develop DM (HR = 1.65, 95%CI 1.12, 2.41). After adjusting for covariates, subjects with central obesity had a 72% increased risk of developing DM compared with subjects with non-central obesity in the PSM cohort (HR = 1.72, 95% CI 1.16, 2.56). Central obesity individuals had a 91% higher risk of DM than non-central obesity individuals, after adjustment for propensity score (HR = 1.91, 95% CI 1.29, 2.81). In sensitivity analysis, the central obesity group had a 44% (HR = 1.44, 95% CI 1.09, 1.90) and 59% (HR = 1.59, 95% CI1.35, 1.88) higher risk of DM than the non-central obesity group in the original and weighted cohorts after adjusting for confounding variables, respectively. Central obesity was independently associated with an increased risk of developing diabetes. After adjustment for confounding covariates, central obesity participants had a 72% higher risk of development of diabetes than non-central obesity individuals in the PSM cohort.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352654 | PMC |
http://dx.doi.org/10.1038/s41598-022-17837-1 | DOI Listing |
Health Sci Rep
January 2025
Research Center for Environmental Determinants of Health (RCEDH), Health Institute Kermanshah University of Medical Sciences Kermanshah Iran.
Background And Aims: Infertility, as defined by the World Health Organization, is the inability to conceive after 12 months of regular, unprotected intercourse. This study aimed to identify factors influencing infertility by applying data mining techniques, specifically rule-mining methods, to analyze diverse patient data and uncover relevant insights. This approach involves a thorough analysis of patients' clinical characteristics, dietary habits, and overall conditions to identify complex patterns and relationships that may contribute to infertility.
View Article and Find Full Text PDFObes Sci Pract
February 2025
Department of Diabetes, Metabolism and Endocrinology Tokyo Medical University Shinjuku-ku Japan.
Objective: Waist circumference measurement is commonly used as a method for predicting the visceral fat area. However, waist circumference is difficult to measure, and there is a large margin of error between measurements. Visceral fat is adipose tissue that accumulates in the abdominal cavity, and when it accumulates in excess, abdominal computed tomography reveals a prominent protrusion of the anterior-posterior diameter of the abdomen in a coronal section at the umbilicus level.
View Article and Find Full Text PDFFront Cardiovasc Med
January 2025
Department of Cardiology, The Second Hospital of Lanzhou University, Lanzhou, China.
Background: The weight adjusted waist index (WWI) represents a novel indicator for assessing central obesity. The objective of this study is to investigate the association between WWI and coronary heart disease (CHD).
Method: The data of 44,528 participants in total were gathered from NHANES database from 1999 to 2020.
Front Endocrinol (Lausanne)
January 2025
Department of Reproductive Medicine, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing, China.
Objectives: The increasing prevalence of obesity underscores the need to explore its impact on assisted reproductive technology (ART) outcomes. This study aims to evaluate the association between visceral fat area (VFA), measured by bioelectrical impedance analysis (BIA), and pregnancy outcomes following frozen embryo transfer (FET).
Methods: In this retrospective clinical study, the data of 1,510 patients who underwent FET between April 2022 and April 2023 were analyzed.
F1000Res
January 2025
Health Promotion Division, Public Health Foundation of India, New Delhi, Delhi, 110030, India.
Background: The Indian government is committed to addressing various manifestations of malnutrition, including overweight and obesity, inorder to improve individual health and well-being. The scoping review aims to map existing national policy instruments (programmes, schemes, regulations and guidelines) addressing overweight and obesity in India and analysing them for Social and Behaviour Change Communication (SBCC) strategies.
Methods: Systematic identification and selection of policy instruments using 'Arksey and O'Malley' framework was conducted from central government ministry websites, between March and June 2023.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!