Ayoobi Fatemeh, Ranjbarhasanabadi Fatemeh, Khalili Parvin, Pourtorabi Seyed Mahdi, Jamali Zahra, Karimifard Maryam, Kamiab Zahra, Vakilian Alireza
Occupational Safety and Health Research Center, NICICO, World Safety Organization and Rafsanjan University of Medical Sciences, Rafsanjan, Iran.
Clinical Research Development Unit, Ali-Ibn Abi-Talib Hospital, Rafsanjan University of Medical Sciences, Rafsanjan, Iran.
Int J Prev Med. 2025 Jul 30;16:47. doi: 10.4103/ijpvm.ijpvm_298_23. eCollection 2025.
Various investigations have evaluated the predictive ability of different anthropometric indices for type 2 diabetes mellitus (T2DM) risk and the findings were inconsistent in different populations. This study investigated the relationship between anthropometric indicators and T2DM in the Rafsanjan Cohort Study.
The present cross-sectional study included 9895 adults, aged 35-70 years, among them who have completed data, were studied. We obtained the data from the Rafsanjan Cohort Study (RCS), as a part of the prospective epidemiological research studies in Iran (PERSIAN). Fasting blood glucose >126 and use of glucose-lowering drugs were used from cohort data as T2DM. Anthropometric indices were compared for T2DM or prediabetes odds vs. normal group. Demographic characteristics and risk factors were compared in diabetes, prediabetes, and normal groups.
Of 9895 participants, about 23 (n = 2283) and 35% (n = 3455) of this population had T2DM and prediabetes, respectively. After adjusting for potential confounders, for waist-to-hip ratio (WHR) (OR = 3.25, 95% CI 2.68-3.94) and waist-to-height ratio (WHtR) (OR = 2.90, 95% CI 2.40-3.49), individuals in the highest quartile had a higher probability of developing T2DM than individuals in the lowest quartile. Also, the odds ratio of T2DM increased in participants with overweight, obesity, and abnormal waist circumference (WC) by considering a cutoff point.
According to our findings, the strongest and weakest anthropometric indexes related to T2DM were WHR and WC, respectively.
多项研究评估了不同人体测量指标对2型糖尿病（T2DM）风险的预测能力，不同人群的研究结果并不一致。本研究在拉夫桑贾尼队列研究中调查了人体测量指标与T2DM之间的关系。
本横断面研究纳入了9895名35至70岁的成年人，对其中完成数据收集的人群进行研究。我们从拉夫桑贾尼队列研究（RCS）中获取数据，该研究是伊朗前瞻性流行病学研究（PERSIAN）的一部分。根据队列数据，将空腹血糖>126以及使用降糖药物作为T2DM的判断标准。比较了T2DM或糖尿病前期人群与正常组的人体测量指标。比较了糖尿病组、糖尿病前期组和正常组的人口统计学特征和危险因素。
在9895名参与者中，分别有23%（n = 2283）和35%（n = 3455）的人群患有T2DM和糖尿病前期。在调整潜在混杂因素后，对于腰臀比（WHR）（OR = 3.25，95% CI 2.68 - 3.94）和腰高比（WHtR）（OR = 2.90，95% CI 2.40 - 3.49），处于最高四分位数的个体患T2DM的概率高于最低四分位数的个体。此外，考虑到一个切点，超重、肥胖和腰围（WC）异常的参与者患T2DM的优势比增加。
根据我们的研究结果，与T2DM相关最强和最弱的人体测量指标分别是WHR和WC。
