血浆致动脉粥样硬化指数与高血压发病风险关联性的前瞻性动态队列研究

doi:10.13481/j.1671-587X.20260120

Abstract

Abstract:

Objective To explore the association between atherogenic index of plasma （AIP） and the risk of hypertension， and to clarify the application value of AIP as a risk predictor for hypertension. Methods The subjects were derived from a prospective cohort population established using a multi-stage stratified cluster sampling method. Based on the AIP quartiles， the included subjects were divided into four groups （Q1 group， Q2 group， Q3 group， and Q4 group）. The association between AIP and the risk of hypertension was explored using the Cox regression model， and subgroup analysis and interaction tests were employed to assess gender and age differences in this association. Results A total of 2 532 subjects were included in this study （632 in Q1 group， 634 in Q2 group， 633 in Q3 group， and 633 in Q4 group）. The median follow-up time was 4.69 years， and 1 587 subjects eventually developed hypertension （the incidence rate was 62.68%）. Compared with Q1， Q2， and Q3 groups， the male proportion in Q4 group was 35.70%， and a smoking proportion was 36.90%； the body mass index（BMI） and fasting plasma glucose（FPG） levels （P<0.001）. Based on a cohort study and multiple factor Cox regression model analysis， compared with Q1 group， the risk of hypertension in Q4 groups was increased by 24% ［hazard ratio（HR）=1.24， 95% confidence interval （CI）=1.07-1.44， P=0.004］. The interaction test results and subgroup analysis showed that there was an interaction between age and gender and AIP （P<0.05）； in the female population （HR=1.42， 95%CI=1.16-1.73， P=0.001） and<60 year old population （HR=1.31， 95%CI=1.11-1.54， P=0.001）， high AIP was a risk factor for developing hypertension. Conclusion An elevated AIP is associated with a higher risk of hypertension， particularly in the female and<60 year old populations where a higher AIP is closely related to the occurrence of hypertension.

Key words: Hypertension, Atherogenic index of plasma, Prospective cohort study, Predictive index, Cox regression model

CLC Number:

R181

Jinli YAN,Tao YAN,Yuan SHEN,Xingyue QI,Nan ZHANG,Hailing LI,Chunfa ZHANG,Lei XU,Han BAO,Xingguang ZHANG. Prospective dynamic cohort study on correlation between atherogenic index of plasma and risk of hypertension[J].Journal of Jilin University(Medicine Edition), 2026, 52(1): 192-198.

Figures/Tables 5

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References 26

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Variable	AIP quartile array				χ²	P
Variable	Q1 (<-0.18)	Q2 (-0.18-0.02)	Q3 (0.02-0.25)	Q4 (≥0.25)	χ²	P
Number of people	632	634	633	633
Gender[n(%)]
Male	185(19.96)	186(20.06)	225(24.27)	331(35.71)	96.49	<0.001
Female	447(27.85)	448(27.91)	408(25.42)	302(18.82)	96.49	<0.001
Age(year) [n(%)]
<60	524(25.47)	504(24.50)	509(24.75)	520(25.28)	3.05	0.383
≥60	108(22.74)	130(27.37)	124(26.10)	113(23.79)	3.05	0.383
Smoking [n(%)]
Yes	122(18.07)	140(20.74)	164(24.30)	249(36.89)	76.49	<0.001
No	510(27.46)	494(26.60)	469(25.26)	384(20.68)	76.49	<0.001
Drinking [n(%)]
Yes	54(34.18)	28(17.72)	26(16.45)	50(31.65)	17.24	<0.001
No	578(24.35)	606(25.52)	607(25.57)	583(24.56)	17.24	<0.001
Family history of illness [n(%)]
Yes	568(26.87)	530(25.07)	516(24.41)	500(23.65)	29.78	<0.001
No	64(15.31)	104(24.88)	117(27.99)	133(31.82)
BMI[n(%)]
<24 kg·m^-2	432(38.71)	300(26.88)	228(20.43)	156(13.98)	267.47	<0.001
≥24 kg·m^-2	200(14.12)	334(23.59)	405(28.60)	477(33.69)	267.47	<0.001

Variable	AIP quartile array				F	P
Variable	Q1 (<-0.18)	Q2 (-0.18-0.02)	Q3 (0.02-0.25)	Q4 (≥0.25)	F	P
Number of people	632	634	633	633
TC[c_B/(mmol·L^-1)]	4.64±1.20	4.78±1.28	4.90±1.49	4.67±1.35	10.66	0.014
FPG[c_B/(mmol·L^-1)]	5.74±1.20	5.92±1.30	6.15±1.63	6.38±1.76	101.90	<0.001
LDL-c[c_B/(mmol·L^-1)]	2.63±1.04	2.89±1.15	3.05±1.28	2.81±1.25	13.18	<0.001

AIP Quartile array	Unadjusted		Model 1	Model 2			Model 3
AIP Quartile array	HR （95%CI）	P	HR （95%CI）	P	HR （95%CI）	P	HR （95%CI）	P
Q1 (<-0.18)	1.00		1.00		1.00		1.00
Q2 (-0.18-0.02)	1.12(0.97-1.30)	0.124	1.10(0.95-1.27)	0.216	1.09(0.94-1.27)	0.251	1.09(0.94-1.25)	0.260
Q3 (0.02-0.25)	1.30(1.13-1.51)	<0.001	1.27(1.10-1.47)	0.001	1.27(1.09-1.47)	0.002	1.25(1.08-1.44)	0.002
Q4 (≥0.25)	1.29(1.11-1.50)	0.001	1.24(1.07-1.45)	0.006	1.22(1.04-1.44)	0.015	1.24(1.07-1.44)	0.004

Group	AIP	Unadjusted		Adjusted^a
Group	AIP	HR（95%CI）	P	HR（95%CI）	P
Gender
Male
	Q1 (<-0.18)	1.00		1.00
	Q2 (-0.18-0.02)	1.01(0.80-1.30)	0.909	0.99(0.77-1.28)	0.944
	Q3 (0.02-0.25)	1.06(0.83-1.34)	0.656	1.05(0.83-1.34)	0.673
	Q4 (≥0.25)	0.98(0.79-1.22)	0.876	1.03(0.82-1.29)	0.801
Female
	Q1 (<-0.18)	1.00		1.00
	Q2 (-0.18-0.02)	1.18(1.00-1.41)	0.056	1.13 (0.95-1.34)	0.168
	Q3 (0.02-0.25)	1.43 (1.21-1.71)	<0.001	1.33(1.12-1.60)	0.001
	Q4 (≥0.25)	1.56(1.29-1.88)	<0.001	1.42(1.16-1.73)	0.001
Age(year)
<60
	Q1 (<-0.18)	1.00		1.00
	Q2 (-0.18-0.02)	1.14(0.97-1.34)	0.100	1.12(0.95-1.31)	0.181
	Q3 (0.02-0.25)	1.37(1.17-1.60)	<0.001	1.31(1.11-1.54)	0.001
	Q4 (≥0.25)	1.39(1.20-1.63)	<0.001	1.31(1.11-1.54)	0.001
≥60
	Q1 (<-0.18)	1.00		1.00
	Q2 (-0.18-0.02)	0.96(0.71-1.29)	0.767	0.93(0.68-1.26)	0.622
	Q3 (0.02-0.25)	1.07(0.78-1.45)	0.689	1.04(0.76-1.43)	0.819
	Q4 (≥0.25)	1.03(0.75-1.42)	0.845	0.99(0.71-1.39)	0.971

Prospective dynamic cohort study on correlation between atherogenic index of plasma and risk of hypertension

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