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Body Mass Index and the Risk of Hypertension-Diabetes Comorbidity in Elderly Population: A Prospective Cohort in China Cover

Body Mass Index and the Risk of Hypertension-Diabetes Comorbidity in Elderly Population: A Prospective Cohort in China

Open Access
|Oct 2025

Figures & Tables

gh-20-1-1487-g1.png
Figure 1

Flowchart of participants screening. (A) hypertension; (B) diabetes; (C) hypertension-diabetes comorbidity.

Note: The participants were first enrolled in 2008, with the first follow-up conducted in 2011 and 2012, the second follow-up in 2014, and the third follow-up in 2017, 2018, and 2019.

Table 1

Baseline characteristics of participants for the outcome of hypertension-diabetes comorbidity.

VARIABLESUNDER WEIGHT (n = 1871)NORMAL WEIGHT (n = 3522)OVERWEIGHT (n = 774)OBESITY (n = 180)P
BMI17.26[16.02,17.83]20.81[19.63,22.22]25.26[24.46,26.26]29.81[28.82,31.59]<0.001
Age, years88.00[79.50,94.00]82.00[73.00,90.00]78.00[70.00,87.00]75.00[68.00,86.00]<0.001
Male1189(63.5)1786(50.2)395(49.6)110(59.1)<0.001
Ethnic<0.001
    Han1689(90.3)3343(93.9)769(96.5)182(97.8)
    Hui6(0.3)11(0.3)5(0.6)2(1.1)
    Zhuang142(7.6)109(3.1)13(1.6)1(0.5)
    Yao11(0.6)18(0.5)1(0.1)0(0.0)
    Korea10(0.5)16(0.4)2(0.3)0(0.0)
    Mongolia0(0.0)1(0.0)0(0.0)0(0.0)
    Others13(0.7)62(1.7)7(0.9)1(0.5)
Current smoking status<0.001
    Yes320(17.1)787(22.1)170(21.3)27(14.5)
    No1551(82.9)2773(77.9)627(78.7)159(85.5)
Current drinking status<0.001
    Yes283(15.1)790(22.2)181(22.7)36(19.4)
    No1588(84.9)2770(77.8)616(77.3)150(80.6)
Current exercise status<0.001
    Yes468(25.0)1097(30.8)317(39.8)74(39.8)
    No1403(75.0)2463(69.2)480(60.2)112(60.2)
Total income of year, CNY10000.00[3500.00,23000.00]10000.00[4000.00,24250.00]10000.00[5000.00,25000.00]10000.00[4000.00,25000.00]0.102
Current marital status<0.001
Currently married and living with spouse527(28.2)1496(42.0)413(51.8)98(52.7)
    Separated44(2.4)90(2.5)12(1.5)2(1.1)
    Divorced6(0.3)4(0.1)7(0.9)3(1.6)
    Widowed1278(68.3)1939(54.5)359(45.0)82(44.1)
    Never married16(0.9)31(0.9)6(0.8)1(0.5)
Sleep quality<0.001
    Very good209(11.2)530(14.9)125(15.7)36(19.4)
    Good925(49.4)1926(54.1)442(55.5)104(55.9)
    So so504(26.9)792(22.2)152(19.1)30(16.1)
    Bad215(11.5)284(8.0)69(8.7)15(8.1)
    Very bad17(0.9)22(0.6)7(0.9)1(0.5)
    Not able to answer1(0.1)6(0.2)2(0.3)0(0.0)
Sleep duration, hours8.00[6.00,9.00]8.00[6.00,10.00]8.00[7.00,10.00]8.00[7.00,10.00]0.084
Hypertension and DM283(15.1)719(20.2)235(29.5)57(30.6)<0.001

[i] BMI: Body mass index, CNY: Chinese Yuan.

BMI category: underweight (BMI < 18.5 kg/m2), normal weight (BMI 18.5–23.9 kg/m2), overweight (BMI 24.0–27.9 kg/m2), and obesity (BMI ≥ 28.0 kg/m2).

gh-20-1-1487-g2.png
Figure 2

Survival analysis (A) and competing risks analysis regarding death (B) were performed for hypertension-diabetes comorbidity.

Participants were categorized into four groups based on BMI: underweight (BMI < 18.5 kg/m2), normal weight (BMI 18.5–23.9 kg/m2), overweight (BMI 24.0–27.9 kg/m2), and obesity (BMI ≥ 28.0 kg/m2).

(A) “1” indicates the occurrence of hypertension-diabetes comorbidity and “2” indicates the occurrence of death.

Table 2

Univariate and multivariate Cox regression of BMI and hypertension-diabetes comorbidity.

VARIABLESUNIVARIATE, HR (95%CI)PMULTIVARIATEa, HR (95%CI)PaMULTIVARIATEb, HR (95%CI)Pb
BMI group
    Normal weight1.000(Reference)1.000(Reference)
    Underweight0.747(0.651,0.857)<0.0010.837(0.728,0.962)0.013
    Overweight1.517(1.309,1.758)<0.0011.397(1.204,1.621)<0.001
    Obesity1.620(1.237,2.121)<0.0011.438(1.096,1.886)0.009
BMI1.062(1.048,1.076)<0.0011.043(1.029,1.059)<0.001
Age, years0.980(0.975,0.986)<0.0010.985(0.979,0.992)<0.0010.985(0.979,0.991)<0.001
Sex
    Female1.000(Reference)
    Male0.950(0.851,1.059)0.353
Ethnic
    Han1.000(Reference)1.000(Reference)1.000(Reference)
    Non-han0.301(0.212,0.428)<0.0010.334(0.235,0.475)<0.0010.333(0.234,0.474)<0.001
Current smoking status
    No1.000(Reference)
    Yes1.072(0.939,1.224)0.304
Current drinking status
    No1.000(Reference)
    Yes1.100(0.964,1.255)0.158
Current exercise status
    No1.000(Reference)1.000(Reference)1.000(Reference)
    Yes1.227(1.094,1.375)<0.0011.094(0.975,1.228)0.1261.091(0.972,1.225)0.141
Current marital status
    Never married1.000(Reference)1.000(Reference)1.000(Reference)
    Widowed2.067(0.857,4.985)0.1062.828(1.169,6.839)0.0212.789(1.153,6.750)0.023
    Currently married and living with spouse2.855(1.184,6.883)0.0192.367(0.906,6.187)0.0792.326(0.890,6.081)0.085
    Divorced2.452(0.658,9.133)0.1812.026(0.543,7.555)0.2932.049(0.550,7.636)0.285
    Separated1.930(0.741,5.027)0.1782.561(1.057,6.209)0.0372.534(1.045,6.146)0.040
Total income of year, CNY1.001(1.001,1.001)0.0271.001(1.001,1.001)0.0301.001(1.001,1.001)0.037
Sleep duration, hours1.011(1.002,1.020)0.0161.014(1.005,1.022)0.0021.014(1.005,1.022)0.002
Sleep quality
    Very good1.000(Reference)
    Good0.917(0.781,1.077)0.291
    Bad0.952(0.759,1.196)0.675
    So so0.938(0.783,1.124)0.488
    Very bad1.277(0.728,2.240)0.393
    Not able to answer0.546(0.077,3.898)0.546

[i] HR: Hazard ratio, CI: Confidence interval, BMI: Body mass index, CNY: Chinese Yuan.

BMI category: underweight (BMI < 18.5 kg/m2), normal weight (BMI 18.5–23.9 kg/m2), overweight (BMI 24.0–27.9 kg/m2), and obesity (BMI ≥ 28.0 kg/m2).

a: When conducting multivariate Cox regression analysis, BMI is included in the model as a categorical variable.

b: When conducting multivariate Cox regression analysis, BMI is included in the model as a continuous variable.

gh-20-1-1487-g3.png
Figure 3

Directed Acyclic Graph (DAG) with Body Mass Index (BMI) as the exposure and hypertension-diabetes comorbidity as the outcome.

Table 3

Multi-model adjustment based on Directed Acyclic Graph (DAG).

DISEASESGROUPMODEL 1 HR (95%CI)PMODEL 2 HR (95%CI)P
Hypertension & DMBMI<24.01.000(Reference)1.000(Reference)
BMI≥24.01.682(1.476~1.917)<0.0011.486(1.301~1.698)<0.001
BMI*1.062(1.048~1.076)<0.0011.046(1.031~1.061)<0.001
HypertensionBMI<24.01.000(Reference)1.000(Reference)
BMI≥24.01.499(1.351~1.662)<0.0011.398(1.258~1.552)<0.001
BMI*1.052(1.041~1.062)<0.0011.042(1.031~1.053)<0.001
DMBMI<24.01.000(Reference)1.000(Reference)
BMI≥24.01.639(1.440~1.865)<0.0011.451(1.271~1.656)<0.001
BMI*1.060(1.046~1.074)<0.0011.044(1.029~1.059)<0.001

[i] HR: Hazard Ratio, CI: Confidence Interval, BMI: Body mass index, DM: diabetes mellitus.

Model1: Crude.

Model2: Adjust: age, ethnic, current exercise status, total income of year.

gh-20-1-1487-g4.png
Figure 4

Restricted cubic spline (RCS) fitting the relationship between body mass index (BMI) as a continuous variable and related outcomes. A represents hypertension, B represents diabetes mellitus, and C represents hypertension-diabetes comorbidity.

gh-20-1-1487-g5.png
Figure 5

Subgroup analysis for hypertension-diabetes comorbidity with body mass index (BMI) as the exposure.

DOI: https://doi.org/10.5334/gh.1487 | Journal eISSN: 2211-8179
Language: English
Submitted on: Apr 26, 2025
Accepted on: Sep 30, 2025
Published on: Oct 16, 2025
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Haimeng Zhang, Guangling Li, Fan Li, Jiangang Jiang, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.