Qun Yan1, Dongmei Sun2, Xu Li1, QingHu Zheng2, HaiNing Long2, Bo Feng1. 1. Department of Endocrinology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China. 2. Shanghai Puxing Community Health-Care Center, Shanghai, China.
Abstract
INTRODUCTION: This study aimed to investigate whether neck circumference (NC) was associated with the incidence of type 2 diabetes in Chinese elderly individuals. METHODS: A community-based cohort study was conducted on elderly inhabitants in Shanghai with a mean age of 71.0 ± 5.8 years (n = 2,646). Binary logistic regression analysis was performed to evaluate the association between NC and the prevalence of type 2 diabetes, while a Cox regression model was used to determine the association between NC and the incidence of type 2 diabetes after a follow-up of 2 years. RESULTS: Logistic regression analysis showed that a larger NC was significantly associated with an increased risk for type 2 diabetes in men (odds ratio [OR] 1.18, 95% confidence interval [CI] 1.07-1.31; p = 0.001) and women (OR 1.25, 95% CI 1.13-1.38; p < 0.001). Cox regression analysis revealed that NC was independently associated with the incidence of type 2 diabetes in both men (hazard ratio [HR] 1.14, 95% CI 1.05-1.23; p = 0.002) and women (HR 1.18, 95% CI 1.10-1.27; p < 0.001). CONCLUSIONS: A larger NC was associated with a higher risk of developing type 2 diabetes in Chinese elderly individuals. However, studies with larger sample sizes and longer follow-up durations are needed to definitively determine the relationship between NC and the risk of developing type 2 diabetes.
INTRODUCTION: This study aimed to investigate whether neck circumference (NC) was associated with the incidence of type 2 diabetes in Chinese elderly individuals. METHODS: A community-based cohort study was conducted on elderly inhabitants in Shanghai with a mean age of 71.0 ± 5.8 years (n = 2,646). Binary logistic regression analysis was performed to evaluate the association between NC and the prevalence of type 2 diabetes, while a Cox regression model was used to determine the association between NC and the incidence of type 2 diabetes after a follow-up of 2 years. RESULTS: Logistic regression analysis showed that a larger NC was significantly associated with an increased risk for type 2 diabetes in men (odds ratio [OR] 1.18, 95% confidence interval [CI] 1.07-1.31; p = 0.001) and women (OR 1.25, 95% CI 1.13-1.38; p < 0.001). Cox regression analysis revealed that NC was independently associated with the incidence of type 2 diabetes in both men (hazard ratio [HR] 1.14, 95% CI 1.05-1.23; p = 0.002) and women (HR 1.18, 95% CI 1.10-1.27; p < 0.001). CONCLUSIONS: A larger NC was associated with a higher risk of developing type 2 diabetes in Chinese elderly individuals. However, studies with larger sample sizes and longer follow-up durations are needed to definitively determine the relationship between NC and the risk of developing type 2 diabetes.
Authors: Nam H Cho; Tae Jung Oh; Kyoung Min Kim; Sung Hee Choi; Jae Ho Lee; Kyong Soo Park; Hak Chul Jang; Jong Yeol Kim; Hong Kyu Lee; Soo Lim Journal: Sci Rep Date: 2015-12-18 Impact factor: 4.379