Association of body mass index with risk of prediabetes in Chinese adults: A population‐based cohort study

Abstract

Aims/Introduction Overweight and obesity in adults are strongly associated with an increased risk of prediabetes, and this study set out to gain a better understanding of the optimal body mass index (BMI) range for assessing the risk of prediabetes in the Chinese population. Materials and Methods The cohort study included 100,309 Chinese adults who underwent health screening. Participants were divided into six groups based on the cut‐off point for BMI recommended by the World Health Organization (underweight: <18.5 kg/m 2 , normal‐weight: 18.5–24.9 kg/m 2 , pre‐obese: 25.0–29.9 kg/m 2 , obese class I: 30.0–34.9 kg/m 2 , obese class II: 35.0–39.9 kg/m 2 , and obese class III ≥40 kg/m 2 ). The association of BMI with prediabetes and the shape of the correlation were modeled using multivariate Cox regression and restricted cubic spline regression, respectively. Results In the multivariate Cox regression model, with normal weight as the control group, underweight people had a lower risk of developing prediabetes, whereas obese and pre‐obese people had a higher risk of prediabetes. Additionally, in the restricted cubic spline model, we found that the association of BMI with prediabetes follows a positive dose–response relationship, but does not conform to the pattern of obesity paradox. Among the general population in China, a BMI of 23.03 kg/m 2 might be a potential intervention threshold for prediabetes. Conclusions The national cohort study found that the association of BMI with prediabetes follows a positive dose–response relationship, rather than a pattern of obesity paradox. For Chinese people with normal weight, more attention should be paid to glucose metabolism when BMI exceeds 23.03 kg/m 2 .

Association of estimated glomerular filtration rate and incident pre-diabetes: A secondary 5-year longitudinal cohort study in Chinese people

“…The probability of prediabetes-free survival gradually increased with increasing eGFR, suggesting that the group with the highest eGFR had the lowest risk of pre-diabetes. A recent study by Zou et al identified 12.31% of participants with new-onset pre-diabetes over a median observation period of 3.1 years (37). Our study found that pre-diabetes incidence was 10.58% after a median follow-up of 3.0 years in the population with physical examination in the Chinese community.…”

“…The incidence of pre-diabetes was slightly lower in our study population. By comparing people in both cohorts, those without lipid parameters were excluded from the study by Zou et al (37). The final sample size was 100309, and their study had a maximum follow-up time of about 6 years.…”

“…A recent study by Zou et al. identified 12.31% of participants with new-onset pre-diabetes over a median observation period of 3.1 years ( 37 ). Our study found that pre-diabetes incidence was 10.58% after a median follow-up of 3.0 years in the population with physical examination in the Chinese community.…”

Diabetic Retinopathy among Patients with Prediabetes Attending the Outpatient Department of Ophthalmology in a Tertiary Eye Care Centre: A Descriptive Cross-sectional Study

“…All 8 (100%) patients with mild NPDR retinopathy were obese. With similar BMI categorization, it has been reported that the increase in BMI was associated with an increased risk of prediabetes 19 and positively associated with DR. 20 Our study also showed that 37.5% of mild NPDR retinopathy patients were hypertensive.…”

Association between body mass index and reversion to normoglycemia from impaired fasting glucose among Chinese adults: a 5-year cohort study

“…In addition, weight gain is also a high-risk risk factor for prediabetes ( 21 ). Several studies have demonstrated that BMI follows a positive dose-response relationship with the risk of prediabetes ( 47 – 49 ). Therefore, we hypothesized that a reduction in BMI may be associated with an increased probability of regression to normoglycemia from prediabetes.…”