Age-Specific Determinants of Brachial-Ankle Pulse Wave Velocity among Male Japanese Workers

Inomoto, Atsushi; Deguchi, Junko; Fukuda, Ryūji; Yotsumoto, Takamichi; Toyonaga, T.

doi:10.1620/tjem.253.135

Cited by 3 publications

(6 citation statements)

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“…Most of the studies were cross-sectional studies. All the eleven studies found a negative association between muscle mass and PWV ( Ochi et al, 2010 ; Kim et al, 2011 ; Ohara et al, 2015 ; Tanaka et al, 2016 ; Zhang et al, 2019 , 2021 ; Rong et al, 2020 ; Yang et al, 2020 ; Yoon et al, 2020 ; Fischer et al, 2021 ; Inomoto et al, 2021 ). Five studies that measured the appendicular skeletal muscle index (ASMI) as the muscle mass marker showed a negative association between ASMI and baPWV ( Zhang et al, 2019 , 2021 ; Rong et al, 2020 ; Yang et al, 2020 ; Fischer et al, 2021 ).…”

Section: Resultsmentioning

confidence: 98%

“…Skeletal muscle index is another measurement of muscle mass used in two studies. South Korean men and women showed a negative association between their skeletal muscle index and baPWV [(β = −0.188; P < 0.001 (men); β = −0.136; P = 0.011) (women)], whereas working men with low muscle mass in Japan (aged 35–44 and 45–54 years old) had a higher risk of AS ( Yoon et al, 2020 ; Inomoto et al, 2021 ).…”

Section: Resultsmentioning

confidence: 99%

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The Association Between Arterial Stiffness and Muscle Indices Among Healthy Subjects and Subjects With Cardiovascular Risk Factors: An Evidence-Based Review

et al. 2021

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Skeletal muscle is one of the major tissues in the body and is important for performing daily physical activity. Previous studies suggest that vascular dysfunction contributes to reduced skeletal muscle mass. However, the association between vascular dysfunction and muscle mass, muscle strength and muscle flexibility are less established. Therefore, the focus of this review was to investigate the association between arterial stiffness (AS) which is a marker of vascular function, and muscle indices among healthy and those with cardiovascular risk factors. Three databases were used to search for relevant studies. These keywords were used: “arterial stiffness” OR “vascular stiffness” OR “aortic stiffness” OR “pulse wave velocity” OR “carotid femoral pulse wave velocity” OR “pulse wave analysis” AND “muscle” OR “skeletal” OR “flexibility” OR “range of motion” OR “articular” OR “arthrometry” OR “strength” OR “hand strength” OR “pinch strength” OR “mass” OR “lean” OR “body composition.” The criteria were; (1) original, full-text articles, (2) articles written in English language, (3) human studies involving healthy adults and/or adults with cardiovascular disease (CVD) or CVD risk factors (4) articles that reported the relationship between AS (measured as carotid-femoral pulse wave velocity or brachial-ankle pulse wave velocity) and muscle indices (measured as muscle mass, muscle flexibility and muscle strength) after adjusting for relevant confounders. The search identified 2295 articles published between 1971 and June 2021. Only 17 articles fulfilled the criteria. Two studies showed an inverse association between AS and muscle strength in healthy subjects, whereas in subjects with CVD risk factors, five out of seven studies found an inverse correlation between the two parameters. Eleven studies showed an inverse association between AS and muscle mass in subjects with CVD and CVD risk factors. The association between AS and muscle flexibility was not studied in any of the articles reviewed. In conclusion, there is an inverse correlation between muscle indices and AS in healthy adults and those with CVD or CVD risk factors. However, most of the studies were cross-sectional studies, hence the need for future prospective studies to address this issue.

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Section: Resultsmentioning

confidence: 98%

Section: Resultsmentioning

confidence: 99%

The Association Between Arterial Stiffness and Muscle Indices Among Healthy Subjects and Subjects With Cardiovascular Risk Factors: An Evidence-Based Review

et al. 2021

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“…In this study, the lifestyle items were not extracted as determinants of longitudinal changes in baPWV. In the past, we conducted a cross-sectional study to investigate the determinants of baPWV according to age group 9) . The study showed that smoking index and total physical activity were associated with baPWV.…”

Section: Discussionmentioning

confidence: 99%

“…The measurement began after confirming the stability of the electrocardiogram. In this study, the systolic and diastolic blood pressure measured on the upper right arm and the value of the baPWV on the right side was used 9) .…”

Section: Participants and Methodsmentioning

confidence: 99%

“…The baPWV has been proved to become faster as the arterial wall is stiffer and can be one of the predictors of CVD [4][5][6][7] . Aging and increased blood pressure have significant effects on baPWV 8,9) . In addition, it has been reported that exacerbation of baPWV greatly affects the presence of metabolic syndrome (MetS) risk such as impaired glucose tolerance and dyslipidemia 10,11) .…”

Section: Introductionmentioning

confidence: 99%

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Differences in determinants affecting longitudinal change of brachial-ankle pulse wave velocity due to differences in baseline among Japanese male workers

et al. 2021

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No study has examined whether the determinants of longitudinal changes in brachial-ankle pulse wave velocity differ depending on the baseline brachial-ankle pulse wave velocity values. Therefore, this study aimed to extract these determinants in high-and low-value groups based on the FY2014 brachial-ankle pulse wave velocity values. [Participants and Methods] Participants were 97 male workers who underwent continuous health assessments from FY2014 to four years later. Their demographic, lifestyle, body-composition, and hemodynamic data were recorded. First-year data were subtracted from data obtained four years later for each continuous variable item, and the difference divided by the number of years was considered as the annual change. Based on the first-year median brachial-ankle pulse wave velocity, participants were classified into high-and low-brachialankle pulse wave velocity groups, i.e., high-and low-value groups, respectively. Multiple regression analysis was performed with the annual change in brachial-ankle pulse wave velocity serving as the dependent variable for both groups.[Results] In comparison with the values obtained in the first year, brachial-ankle pulse wave velocity obtained four years later increased significantly in the low-value group and tended to increase in the high-value group. Increased visceral fat area in the high-value group and increased diastolic blood pressure and heart rate in the lowvalue group were associated with worsening brachial-ankle pulse wave velocity. [Conclusion] The determinants of longitudinal changes in the brachial-ankle pulse wave velocity differed depending on the baseline brachial-ankle pulse wave velocity values.

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One-Hour Post-Load Plasma Glucose Levels are Associated with Early Arterial Stiffness in Subjects with Different Glucose Tolerance

Wang¹,

Liu²,

Jia³

et al. 2022

DMSO

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Objective The purpose of this study was to explore the relationship between one-hour post-load plasma glucose levels and early arterial stiffness in subjects with different glucose tolerance. Methods This case-control study included 57 subjects with normal glucose tolerance, 38 subjects with pre-diabetes, and 30 subjects with type 2 diabetes. All subjects underwent an oral glucose tolerance test (OGTT) with 75 g of oral anhydrous glucose at 8:00 AM. The brachial-ankle pulse wave velocity (baPWV) was used as a surrogate marker of early arterial stiffness. Results baPWV was significantly higher in the diabetes group than in the normal glucose tolerance group (diabetes group: 1501.8 ± 270.4 cm/s, pre-diabetes group: 1428.6 ± 173.1 cm/s vs normal glucose tolerance group: 1368.0 ± 242.8 cm/s) ( p < 0.05). baPWV was positively correlated with age ( r = 0.512, p < 0.001), systolic blood pressure (SBP) ( r = 0.526, p < 0.001), diastolic blood pressure (DBP) ( r = 0.298, p = 0.001), fasting plasma glucose (FPG) ( r = 0.213, p = 0.017), 1-h plasma glucose levels from the OGTT ( r = 0.407, p < 0.001) and 2-h plasma glucose levels from the OGTT ( r = 0.202, p = 0.024). When baPWV was considered as the dependent variable in a multiple regression analysis, the 1-h plasma glucose level from the OGTT maintained an independent association with baPWV ( β = 23.129, 95% CI: 8.142–38.115, p = 0.003, R 2 = 0.036). Conclusion The present study demonstrated the presence of early arterial stiffness in diabetes. Elevated 1-hour post-load plasma glucose level is closely related to the change of arterial elasticity in diabetes.

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Age-Specific Determinants of Brachial-Ankle Pulse Wave Velocity among Male Japanese Workers

Cited by 3 publications

References 20 publications

The Association Between Arterial Stiffness and Muscle Indices Among Healthy Subjects and Subjects With Cardiovascular Risk Factors: An Evidence-Based Review

The Association Between Arterial Stiffness and Muscle Indices Among Healthy Subjects and Subjects With Cardiovascular Risk Factors: An Evidence-Based Review

Differences in determinants affecting longitudinal change of brachial-ankle pulse wave velocity due to differences in baseline among Japanese male workers

One-Hour Post-Load Plasma Glucose Levels are Associated with Early Arterial Stiffness in Subjects with Different Glucose Tolerance

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