High prevalence of metabolic obesity in India: The ICMR-INDIAB national study (ICMR-INDIAB-23)

医学 肥胖 内科学 糖尿病 体质指数 腰围 置信区间 2型糖尿病 血压 代谢综合征 内分泌学
作者
Mohan Deepa,Rajendra Pradeepa,Ulagamathesan Venkatesan,Prabha Adhikari,Hiranya Kumar Das,Kalpana Dash,Jatinder Mokta,Somorjit Ningomban,Rosang Luaia,Richard O Budnah,Anil Bhansali,Lobsang Jampa,Vizolie Suokhrie,Sunil Jain,Shashank Joshi,Shashank Joshi,Anil J Purty,Karma Jigme Tobgay,Taranga Reang,Sri Venkata Madhu
出处
期刊:Indian Journal of Medical Research [Medknow]
卷期号:161 (5): 461-472 被引量:2
标识
DOI:10.25259/ijmr_328_2025
摘要

Background & objectives While obesity usually produces cardio-metabolic dysfunction, some obese individuals are metabolically healthy, and conversely, some nonobese individuals have significant metabolic dysfunction. This study aims to assess the national prevalence of various obesity subtypes and their association with type 2 diabetes (T2D), coronary artery disease (CAD), and chronic kidney disease (CKD) in the Indian Council of Medical Research-India Diabetes (ICMR-INDIAB) study. Methods The ICMR-INDIAB study is a nationally representative cross-sectional survey of 1,13,043 individuals aged ≥20 yr from urban and rural areas across 31 Indian States and Union Territories. In every fifth individual (n=19,370), venous blood glucose and lipids were measured. A body mass index (BMI) ≥25 kg/m 2 was defined as being obese, and metabolic obesity was diagnosed if two risk factors, out of the following: high waist circumference, high blood pressure, elevated blood glucose, raised serum triglycerides, or low HDL cholesterol, were present. Four subgroups were identified: Metabolically Healthy Non-Obese (MHNO), Metabolically Healthy Obese (MHO), Metabolically Obese Non-Obese (MONO), and Metabolically Obese Obese (MOO). Results The prevalence of various obesity subtypes was as follows: MONO: 43.3 per cent [95% confidence interval (CI): 42.6-44%], MOO: 28.3 per cent (27.7-28.9%), MHNO: 26.6 per cent (26-27.2%), and MHO: 1.8 per cent (1.6-2%). MONO was more prevalent in rural areas [Rural vs. Urban: MONO: 46 per cent (45-46.9%) vs. 39.6 per cent (37.8-41.3%), P< 0.001]. MOO showed the highest risk for T2D and CAD, while MONO showed the highest risk of CKD, especially among females. Interpretation & conclusions Individuals with MONO have a distinct phenotype with adverse metabolic consequences, highlighting the need to shift from body weight-focused approaches to broader strategies to identify and tackle non-communicable diseases (NCDs) in India.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
shen完成签到,获得积分10
刚刚
飞快的绿完成签到,获得积分20
刚刚
balabala完成签到,获得积分10
1秒前
chemjunn发布了新的文献求助100
1秒前
Jasper应助我爱山之东采纳,获得10
1秒前
1秒前
1秒前
科研通AI6.4应助寒冷黎云采纳,获得10
2秒前
Akim应助zl50268采纳,获得10
2秒前
南北完成签到,获得积分10
2秒前
che完成签到 ,获得积分10
3秒前
3秒前
皮皮完成签到,获得积分10
4秒前
4秒前
Ethan发布了新的文献求助10
4秒前
Caroline发布了新的文献求助30
5秒前
5秒前
5秒前
5秒前
科研通AI6.3应助莴笋叶采纳,获得10
6秒前
狂野的不二完成签到,获得积分10
6秒前
情怀应助1111采纳,获得10
6秒前
6秒前
拼搏的松鼠完成签到,获得积分10
7秒前
刘老师发布了新的文献求助10
7秒前
7秒前
8秒前
Orange应助肥海狸采纳,获得10
8秒前
yuanhao完成签到,获得积分10
8秒前
v2完成签到,获得积分10
9秒前
猕猴桃完成签到 ,获得积分10
9秒前
9秒前
olivia完成签到 ,获得积分10
9秒前
10秒前
碧蓝的垣发布了新的文献求助10
10秒前
YUMI发布了新的文献求助10
10秒前
vict发布了新的文献求助10
10秒前
ffy1985发布了新的文献求助10
10秒前
11秒前
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
模型平均及其应用 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
Évora na Idade Média 555
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7348613
求助须知:如何正确求助?哪些是违规求助? 8960796
关于积分的说明 19031348
捐赠科研通 6998945
什么是DOI,文献DOI怎么找? 3220530
关于科研通互助平台的介绍 2385346
邀请新用户注册赠送积分活动 2200758