scholarly journals The Relationship between Body Mass Index and Incident Diabetes Mellitus in Chinese Aged Population: A Cohort Study

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
M. L. Tang ◽  
Y. Q. Zhou ◽  
A. Q. Song ◽  
J. L. Wang ◽  
Y. P. Wan ◽  
...  

Objectives. Previous studies reported that overweight older adults had a lower mortality after cardiovascular diseases attack, indicating being thinner might not always be better. However, there is an ongoing debate about what is the optimal range of body mass index (BMI) for the aged population. We aimed to evaluate the value of BMI for the prediction of incident diabetes mellitus (DM) in the Chinese elderly population. Methods. A total number of 6,911 Chinese elderly people (4,110 men and 2,801 women, aged 71 ± 6.0 years) were included in this cohort study. BMI was measured at baseline (Jan 1, 2014, to Dec 31, 2014). All the participants were further classified into six groups: <18.5 kg/m2, 18.5 to <22.5 kg/m2, 22.5 to <25.0 kg/m2, 25.0 to <27.5 kg/m2, 27.5 to <30.0 kg/m2, and ≥30.0 kg/m2. Fasting blood glucose (FBG) and glycated hemoglobin A1c (HbA1c) were annually measured during follow-up (Jan 1, 2015-May 31, 2019). DM was confirmed if either FBG ≥ 7.0   mmol / L or HbA 1 c ≥ 6.5 % . We used the Cox proportional hazard regression model to evaluate the association between BMI and the prediction of incident DM. Results. Comparing individuals with a BMI range of 18.5 to <22.5 kg/m2 (reference), the hazard ratio for incident DM was 2.13 (95% CI: 1.54~2.95), 2.14 (95% CI: 1.53~3.00), 3.17 (95% CI: 2.19~4.59), 3.15 (95% CI: 1.94~5.09), and 3.14 (95% CI: 1.94~5.09) for the group with a BMI range of 22.5 to <25.0 kg/m2, 25.0 to <27.5 kg/m2, 27.5 to <30.0 kg/m2, and ≥30.0 kg/m2 after adjusting for baseline age, sex, blood pressure, lipid profiles, and eGFR ( P trend < 0.001), after adjusting for the abovementioned confounders. The association tended to be closer in men and young participants, compared with their counterparts. Conclusions. High BMI was associated with a high risk of developing DM in the Chinese aged population. Thus, it is optimal for the aged population to maintain their body weight within a reasonable range to prevent chronic diseases.

2021 ◽  
Author(s):  
Molian Tang ◽  
Yiquan Zhou ◽  
Jialu Wang ◽  
Yanping Wan ◽  
Renying Xu

Abstract BackgroundPrevious studies reported that aged population with overweight had a lower mortality after cardiovascular diseases attack, indicating being thinner might not be better. However, the debate is ongoing what is optimal range of body mass index (BMI) for aged population. We aimed to evaluate the association between BMI and incident diabetes mellitus (DM) in Chinese elderly people.Methods6,489 Chinese elderly people (3,828 men and 2,661 women) with medium age of 69 years (interquartile range: 67-74 years) were included in this cohort study. BMI was measured at baseline (2014). All the participants were further classified into eight groups based on baseline BMI with 2.0 kg/m2 interval: ≤17.9 kg/m2, 18.0-19.9 kg/m2, 20.0-21.9 kg/m2, 22.0-23.9 kg/m2, 24.0-25.9 kg/m2, 26.0-27.9 kg/m2, 28.0-29.9 kg/m2, and ≥30.0 kg/m2. Fasting blood glucose (FBG) and glycated hemoglobin A1c (HbA1c) were annually measured during follow-up (2014-2019). DM was confirmed if either FBG ≥7.0 mmol/L or HbA1c ≥6.5%. We used the Cox proportional hazards regression model to evaluate the association between BMI and incident DM.ResultsComparing individuals with a BMI range of 20.0~21.9 kg/m2 (reference), the hazards ratio for incident DM was 2.07 (95% CI: 1.33, 3.22), 2.07 (95% CI: 1.33, 3.23), 2.18 (95% CI: 1.37, 3.47), 2.68 (95% CI: 1.61, 4.46), and 2.26 (95% CI: 1.17, 4.37) for the group with a BMI range of 22.0-23.9 kg/m2, 24.0-25.9 kg/m2, 26.0-27.9 kg/m2, 28.0-29.9 kg/m2, and ≥30.0 kg/m2 after adjusting baseline age, sex, blood pressure, lipid profiles, and eGFR. Each unit increase of BMI (=1.0 kg/m2) was associated with a high risk of 9% (HR=1.09, 95% CI: 1.05, 1.14, P for trend<0.001) after adjusting for above-mentioned confounders.ConclusionsHigh BMI was associated with high risk of developing DM in Chinese aged population. To lower the incidence of DM, it is better to be thinner than heavier.


2021 ◽  
Author(s):  
Molian Tang ◽  
Yiquan Zhou ◽  
Anqi Song ◽  
Jialu Wang ◽  
Yanping Wan ◽  
...  

Abstract ObjectivesPrevious studies reported that overweight older adults had a lower mortality after cardiovascular diseases attack, indicating being thinner might not always be better. However, there is ongoing debate about what is the optimal range of body mass index (BMI) for the aged population. We aimed to evaluate the value of BMI for the prediction of incident diabetes mellitus (DM) in Chinese elderly population.MethodsA total number of 6,911 Chinese elderly people (4,110 men and 2,801 women, aged 71±6.0 years) were included in this cohort study. BMI was measured at baseline (Jan 1st 2014 to Dec 31st 2014). All the participants were further classified into six groups: < 18.5kg/m2, 18.5 to < 22.5 kg/m2, 22.5 to < 25.0 kg/m2, 25.0 to < 27.5 kg/m2, 27.5 to < 30.0 kg/m2, and ≥ 30.0 kg/m2. Fasting blood glucose (FBG) and glycated hemoglobin A1c (HbA1c) were annually measured during follow-up (Jan 1st 2015-May 31st 2019). DM was confirmed if either FBG ≥ 7.0 mmol/L or HbA1c ≥ 6.5%. We used the Cox proportional hazards regression model to evaluate the association between BMI and the prediction of incident DM. ResultsComparing individuals with a BMI range of 18.5 to < 22.5 kg/m2 (reference), the hazards ratio for incident DM was 2.13 (95% CI: 1.54~2.95), 2.14 (95% CI: 1.53~3.00), 3.17 (95% CI: 2.19~4.59), 3.15 (95% CI: 1.94~5.09), and 3.14 (95% CI: 1.94~5.09) for the group with a BMI range of 22.5 to < 25.0 kg/m2, 25.0 to < 27.5 kg/m2, 27.5 to < 30.0 kg/m2, and ≥ 30.0 kg/m2 after adjusting for baseline age, sex, blood pressure, lipid profiles, and eGFR (P trend <0.001), after adjusting for the above-mentioned confounders. The association tended to be closer in men and young participants, compared with their counterparts.ConclusionsHigh BMI was associated with high risk of developing DM in Chinese aged population. Thus, it is optimal for the aged population to maintain their body weight within a reasonable range to prevent chronic diseases.


Neurology ◽  
2018 ◽  
Vol 91 (5) ◽  
pp. e427-e435 ◽  
Author(s):  
Kirsten Mehlig ◽  
Leif Lapidus ◽  
Dag S. Thelle ◽  
Margda Waern ◽  
Henrik Zetterberg ◽  
...  

ObjectiveIn a representative population of women followed over 34 years, we investigated the prospective association between fasting serum insulin and dementia, taking into account the incidence of diabetes mellitus.MethodsFasting values for serum insulin and blood glucose were obtained in 1,212 nondiabetic women 38 to 60 years of age at the 1968 baseline. Risk of dementia was assessed by Cox proportional hazard regression with adjustment for insulin, glucose, and other covariates and, in a second model, after censoring for incident cases of diabetes mellitus. Incident diabetes mellitus was considered as a third endpoint for comparison with dementia.ResultsOver 34 years, we observed 142 incident cases of dementia. The low tertile of insulin displayed excess risk for dementia (hazard ratio [HR] 2.34, 95% confidence interval [CI] 1.52–3.58) compared to the medium tertile, but the high tertile of insulin did not (HR 1.28, 95% CI 0.81–2.03). These associations were also seen for dementia without diabetes comorbidity. In contrast, high but not low insulin predicted incident diabetes mellitus (115 cases) (HR 1.70, 95% CI 1.08–2.68 and HR 0.76, 95% CI 0.43–1.37, respectively).ConclusionA previous study reported a U-shaped association between fasting insulin and dementia in a 5-year follow-up of elderly men. Our results confirmed a nonlinear association in a female population, with high risk at low insulin values that was not attributable to preclinical dementia or impaired insulin secretion. This condition suggests a new pathway to dementia, which differs from the metabolic pathway involving diabetes mellitus.


2021 ◽  
Author(s):  
Fan Yang ◽  
Xiaohan Ding ◽  
Zhuangsen Chen ◽  
Yan Liao ◽  
Miaoling Chen ◽  
...  

Abstract BackgroundThe triglyceride glucose-body mass index (TyG-BMI) has been proposed as a marker of insulin resistance (IR). However, evidence for the relationship between TyG-BMI and the incidence of diabetes mellitus remains limited. This study investigated the association between TyG-BMI and diabetes occurrence in Chinese individuals.MethodsThis retrospective study included a cohort of 204978 non-diabetic individuals using data from healthy screening program data in China between 2010 and 2016. The independent and dependent variables are TyG-BMI and incident of diabetes, respectively. Cox proportional hazards regression analysis was used to evaluate hazard ratios (HRs) and 95% confidence intervals (95% CIs) for the relationship between TyG-BMI and incident diabetes. Generalized additive models were used to identify non-linear relationships. Subgroup analysis helped better understand other factors that may affect the association between TyG-BMI and diabetes to identify potential special populations. And the data were downloaded from the DATADRYAD website.ResultOur study indicated that the incidence of diabetes increases with the rise of TyG-BMI (HR = 1.023, 95%CI(1.022, 1.024) ) after adjusting age, gender, SBP, DBP, TC, HDL, LDL, ALT, AST, Scr, smoking status, drinking status, family history. There was a nonlinear relationship between TyG-BMI and the incidence of diabetes, and the inflection point was 232.416. The effect size and confidence interval of the left and right sides of the inflection point were 1.029 (1.027, 1.031), 1.016 (1.014, 1.018), P for interaction < 0.0001. Subgroup analysis showed that the correlation was stronger in the population aged 20–30 (P for interaction < 0.0001, HR 1.029, 95%CI:1.024 to 1.035),and the same trend was found in the following populations: age 30–40(HR = 1.032), age 40–50(HR = 1.029), HDL (high group) (HR = 1.024 ), SBP<140(HR = 1.025), DBP<90(HR = 1.024), current drinker(HR = 1.031), and ever drinker(HR = 1.032).ConclusionThis study demonstrated that increased TyG-BMI was positively correlated with incident diabetes in Chinese. TyG-BMI and incident diabetes had non-linear relationship. Before and after TyG-BMI equals 232.416, the risk of diabetes increased by 2.9% and 1.6%, respectively, when TyG-BMI increased one unit.


Nutrients ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1605
Author(s):  
Kokichi Arisawa ◽  
Sakurako Katsuura-Kamano ◽  
Hirokazu Uemura ◽  
Nguyen Van Tien ◽  
Asahi Hishida ◽  
...  

The association between dietary acid load and metabolic syndrome (MetS) has not been fully investigated. A cross-sectional study was performed on 14,042 men and 14,105 women (aged 35–69 years) who participated in a baseline survey of the Japan Multi-Institutional Collaborative Cohort study. Dietary acid load was assessed using the net-endogenous-acid-production (NEAP) score that is closely correlated with the rate of renal net acid excretion. MetS was diagnosed according to the Joint Interim Statement Criteria of 2009 using body-mass index instead of waist circumference. After adjusting for potential confounders, higher NEAP scores were associated with a significantly increased odds ratio (OR) of MetS, obesity, high blood pressure, and high fasting blood glucose. These associations remained significant after further adjustment for carbohydrate intake or two nutrient-pattern scores significantly associated with MetS. After adjustment for fiber, iron, potassium, and vitamin pattern scores, the OR of MetS for the highest quartile of NEAP scores, relative to the lowest quartile, was 1.25 (95% confidence interval 1.12–1.39). There was no significant interaction between sex, age, or body-mass index and NEAP. Higher dietary acid load was associated with a higher prevalence of MetS and several of its components, independently of carbohydrate intake or nutrient patterns.


2017 ◽  
Vol Volume 12 ◽  
pp. 745-752 ◽  
Author(s):  
Qianping Zhao ◽  
Jari Laukkanen ◽  
Qifu Li ◽  
Gang Li

2017 ◽  
Vol 61 (2) ◽  
pp. 118-122 ◽  
Author(s):  
Kazuteru Mitsuhashi ◽  
Yoshitaka Hashimoto ◽  
Muhei Tanaka ◽  
Hitoshi Toda ◽  
Shinobu Matsumoto ◽  
...  

2012 ◽  
Vol 22 (7) ◽  
pp. 1097-1103 ◽  
Author(s):  
Munir Alamo ◽  
Matías Sepúlveda ◽  
José Gellona ◽  
Mauricio Herrera ◽  
Cristián Astorga ◽  
...  

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