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Evaluating Sex Differences in the Effect of Increased Systolic Blood Pressure on the Risk of Cardiovascular Disease in Asian Populations: A Systematic Review and Meta-Analysis Cover

Evaluating Sex Differences in the Effect of Increased Systolic Blood Pressure on the Risk of Cardiovascular Disease in Asian Populations: A Systematic Review and Meta-Analysis

Open Access
|Oct 2022

Figures & Tables

Figure 1

Flow chart of the publication selection.

CVD: cardiovascular disease; ES: effect size; HR: hazard ratio; SBP: mean systolic blood pressure; SBPB: mean systolic blood pressure at baseline.

Table 1

Characteristics of the selected studies.

SEXSTUDY*IDSAMPLE SIZEESREPORTED ES [95% CI]UNIT (mmHg)SBPB(mmHg)AGE (YEAR)SMOKING (%)
FemaleAPCSC [73]F-APCSC168910HR1.38 [1.25, 1.51]10119425
PREDICT [74]F-PREDICT7039HR1.23 [1.12, 1.36]10126.152.91
CONOR [74]F-CONOR967HR1.06 [0.85, 1.31]10119.140.31
SUITA [75]F-SUITA-1504HR1.17 [0.32, 4.34]16.9122.45411.7
F-SUITA-2465HR1.83 [0.58, 5.75]26.9132.458.99.2
TLGS [76]F-TLGS3642HR1.01 [1.004, 1.015]112246.53.6
MaleAPCSC [73]M-APCSC331909HR1.38 [1.28, 1.46]101224559
JPHC [39]M-JPHC-12456HR1.35 [0.63, 2.88]1012553.145.9
M-JPHC-22483HR1.32 [0.62, 2.80]2013554.644.6
M-JPHC-33371HR1.98 [0.99, 3.98]351505643.2
M-JPHC-41028HR2.69 [1.23, 5.89]5517056.540.3
M-JPHC-5288HR3.74 [1.47, 9.53]7519056.344.5
PREDICT [74]M-PREDICT9997HR1.03 [0.96, 1.11]10125.347.49
CONOR [74]M-CONOR1239HR1.14 [0.98, 1.32]10126.641.425
SESSA [77]M-SESSA996OR1.21 [1.03, 1.43]19136.16432.2
SUITA [75]M-SUITA-1502HR1.78 [0.75, 4.22]13.9121.75449.6
M-SUITA-2463HR2.32 [1.02, 5.27]23.6131.457.546.3

[i] CI: confidence interval; ES: effect size; HR: hazard ratio; ID: identification; OR: odds ratio; SBPB: mean systolic blood pressure at baseline; Smoking: the proportion of smokers (APCSC, CONOR, JPHC, PREDICT, SESSA, and SUITA represent current smokers; TLGS represents current and former smokers).

* Abbreviations of study names: APCSC: Asia Pacific Cohort Studies Collaboration; PREDIECT: PREDICT-CVD Cohort Study; CONOR: Cohort of Norway, including Oslo Health Study, Oslo Immigrant Health Study, and The Romsås in Motion Study; SUITA: The Suita Study; TLGS: The Tehran Lipid and Glucose Study; JPHC: Japan Public Health Center-based Prospective Study; SESSA: Shiga Epidemiological Study of Subclinical Atherosclerosis.

The reported ES and corresponding CI were further adjusted if multiple ESs that depend on the same BP reference group were adopted from one publication.

Figure 2

Observed and estimated ESs for the CVD risk per 10-mmHg increase in SBP in Asia.

Table 2

Moderator estimators for CVD risk in Asian populations via meta-regression.

MODELMODERATOReβ95% CIP
OptimalSex (1: female; 0: male)1.232[1.065, 1.426]0.02
Smoking (%)1.006[1.003, 1.009]<0.01
FullSex (1: female; 0: male)1.212[1.039, 1.413]0.03
Smoking (%)1.006[1.003, 1.010]<0.01
SBPB (mmHg)0.999[0.996, 1.002]0.72
Age (years)0.998[0.990, 1.006]0.66

[i] CI: confidence interval; SBPB: mean systolic blood pressure at baseline; Smoking: the proportion of smokers.

Significant (P < 0.05).

Figure 3

Funnel plot of the publication bias for effect sizes in Asia.

DOI: https://doi.org/10.5334/gh.1159 | Journal eISSN: 2211-8179
Language: English
Submitted on: Apr 3, 2022
Accepted on: Sep 9, 2022
Published on: Oct 4, 2022
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2022 Yu-Ting Lin, Yun-Ru Chen, Yu-Chung Wei, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.