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Association Between Visual Acuity and Incident Atherosclerotic Cardiovascular Disease: A Longitudinal Test of Mediators Cover

Association Between Visual Acuity and Incident Atherosclerotic Cardiovascular Disease: A Longitudinal Test of Mediators

Open Access
|Feb 2025

Figures & Tables

Graphical Abstract

Visual acuity and ASCVD in middle-aged and older adults.

Table 1

Cohort characteristics by VA tertile.

CHARACTERISTICHIGHEST VA LEVEL (N = 39,168)MIDDLE VA LEVEL (N = 36,130)LOWEST VA LEVEL (N = 35,224)P VALUE
Age, mean (SD), yrs54.17 (8.23)56.94 (7.92)58.81 (7.45)<0.001
Gender, No. (%)<0.001
Women19,840 (50.65)20,888 (57.81)20,772 (58.97)
Men19,328 (49.35)15,242 (42.19)14,452 (41.03)
Ethnicity, No. (%)<0.001
White35,442 (90.49)32,246 (89.25)30,653 (87.02)
Non-white3,726 (9.51)3,884 (10.75)4,571 (12.98)
Townsend index, mean (SD)–1.18 (2.89)–0.99 (2.98)–0.69 (3.11)0.004
Education level, No. (%)<0.001
College or university degree15,730 (40.16)12,665 (35.05)10,626 (30.18)
Others23,438 (59.84)23,465 (64.95)24,598 (69.82)
Smoking status, No. (%)<0.001
Never22,315 (57.24)20,197 (56.21)19,378 (55.52)
Former/current16,667 (42.76)15,732 (43.79)15,527 (44.48)
Family history of ASCVD, No. (%)<0.001
No18,880 (48.20)16,242 (44.95)15,477 (43.94)
Yes20,288 (51.80)19,888 (55.05)19,747 (56.06)
Physical activity, No. (%)0.062
Not meeting recommendation5,576 (17.06)5,210 (17.75)4,902 (17.58)
Meeting recommendation27,105 (82.94)24,147 (82.25)22,980 (82.42)
History of diabetes, No. (%)<0.001
No37,449 (95.61)34,054 (94.25)32,517 (92.31)
Yes1,719 (4.39)2,076 (5.75)2,707 (7.69)
History of hypertension, No. (%)<0.001
No11,494 (29.35)9,430 (26.10)7,982 (22.66)
Yes27,674 (70.65)26,700 (73.90)27,242 (77.34)
History of hyperlipidemia, No. (%)<0.001
No23,500 (60.00)20,034 (55.45)18,294 (51.94)
Yes15,668 (40.00)16,096 (44.55)16,930 (48.06)
History of depression, No. (%)<0.001
No37,196 (94.97)34,105 (94.40)33,184 (94.21)
Yes1,972 (5.03)2,025 (5.60)2,040 (5.79)
Systolic blood pressure135.33 (17.72)137.49 (18.49)139.18 (18.75)<0.001
Diastolic blood pressure81.81 (9.92)82.00 (10.02)82.22 (9.99)<0.001
HbA1c, mean (SD)35.33 (5.71)36.09 (6.36)36.89 (7.59)<0.001
LDL, mean (SD)3.57 (0.83)3.57 (0.85)3.57 (0.87)0.91
HDL, mean (SD)1.46 (0.38)1.49 (0.39)1.49 (0.40)<0.001
Triglycerides, mean (SD)1.68 (0.99)1.68 (0.96)1.70 (0.98)0.001
Cholesterol, mean (SD)5.71 (1.09)5.74 (1.12)5.74 (1.15)<0.001
LogMAR of visual acuity (better eye)–0.18 (0.05)–0.07 (0.26)0.13 (0.14)<0.001

[i] Abbreviation: ASCVD, atherosclerotic cardiovascular disease; LogMAR, logarithm of the minimum angle of resolution; HbA1c, Glycated Hemoglobin; LDL, Low-Density Lipoprotein; HDL, High-Density Lipoprotein.

Table 2

Cox Proportional Hazards Models for Incident ASCVD by VA.

MODEL 1MODEL 2
HR (95% CI)P VALUEHR (95% CI)P VALUE
Total analysis
Visual acuity (Continuous variable, per 0.1 LogMAR)1.97 (1.68, 2.31)<0.0011.63 (1.35, 1.96)<0.001
Visual acuity (Categorical variable)
T1 (highest visual acuity level)1 [Reference]1 [Reference]
T2 (moderate visual acuity level)1.10 (1.03, 1.18)0.0051.02 (0.94, 1.10)0.627
T3 (lowest visual acuity level)1.30 (1.20, 1.37)<0.0011.17 (1.08, 1.26)<0.001
P for trend<0.001<0.001
Stratification analysis
Stratified by gender
Female1.93 (1.49, 2.51)<0.0011.46 (1.06, 2.02)0.020
Male1.99 (1.62, 2.43)<0.0011.73 (1.37, 2.18)<0.001
Test for interaction0.7250.771

[i] We used Cox proportional hazards regression for the incident ASCVD. Model 1 was adjusted for baseline measurements of age and gender. Model 2 additionally adjusted for risk factors shared between VA and ASCVD, measured at baseline, including ethnicity, smoking status, education level, Townsend index, family history of severe ASCVD, physical activity level, and comorbidities (depression, diabetes, hypertension, and hyperlipidemia).

T, tertiles of LogMAR value.

VA, visual acuity; ASCVD, atherosclerotic cardiovascular disease; HR, hazard ratio; LogMAR, logarithm of the minimum angle of resolution.

Figure 1

Mediation analysis for VA and ASCVD. Mediation analyses were performed for hypertension (panel A), diabetes (panel B), depression (panel C), and Townsend index (panel D) separately. Apart from the mediator being analyzed, other mediators were included as covariates to account for their potential influence on the mediator-outcome relationship. Additionally, the analysis adjusted for baseline measurements of age, gender, ethnicity, smoking status, education level, Townsend index, family history of severe ASCVD, physical activity level, and hyperlipidemia.

aP for indirect effect <0.05.

VA, visual acuity; ASCVD, atherosclerotic cardiovascular disease.

Figure 2

Mediation analysis of sex-specific for VA and ASCVD. For women, mediation analyses were performed for hypertension (panel A), diabetes (panel C), depression disorder (panel E) and Townsend index (panel G) separately. For men, mediation analyses were performed for hypertension (panel B), diabetes (panel D), depression (panel F), and Townsend index (panel H) separately. Apart from the mediator being analyzed, other mediators were included as covariates to account for their potential influence on the mediator-outcome relationship. Additionally, the analysis adjusted for baseline measurements of age, gender, ethnicity, smoking status, education level, Townsend index, family history of severe ASCVD, physical activity level, and hyperlipidemia.

aP for indirect effect <0.05.

VA, visual acuity; ASCVD, atherosclerotic cardiovascular disease.

DOI: https://doi.org/10.5334/gh.1406 | Journal eISSN: 2211-8179
Language: English
Submitted on: Aug 1, 2024
Accepted on: Feb 11, 2025
Published on: Feb 24, 2025
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Zijing Du, Xiayin Zhang, Gabriella Bulloch, Feng Zhang, Yu Huang, Yaxin Wang, Yingying Liang, Guanrong Wu, Zhuoting Zhu, Xianwen Shang, Yijun Hu, Xiaohong Yang, Honghua Yu, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.