Vascular Risk Factors and Findings on Brain MRI of Elderly Adult American Indians: The Strong Heart Study

Shibata, Dean; Suchy‐Dicey, Astrid; Carty, Cara L.; Madhyastha, Tara M.; Ali, Tauqeer; Best, Lyle G.; Grabowski, Thomas J.; Longstreth, W. T.; Buchwald, Dedra

doi:10.1159/000496343

Cited by 12 publications

(10 citation statements)

References 53 publications

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“…More attention needed to pay to the related research, to evaluate the relationship between polymorphic gene and exposed factors. Hypertension and diabetes usually occurred successively, due to the hardening of blood vessels diabetes could induce hypertension [17][18][19] .…”

Section: Discussionmentioning

confidence: 99%

The interaction on hypertension between family history and diabetes and other risk factors

Li¹,

Peng²,

Shao³

et al. 2021

Sci Rep

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To explore the individual effect and interaction of diabetes and family history and other risk factors on hypertension in Han in Shanghai China. The method of case–control study with l:l matched pairs was used, 342 cases of hypertension and 342 controls were selected and investigate their exposed factors with face-to-face. The method of epidemiology research was used to explore the individual effect and interaction of diabetes and family history and other risk factors on hypertension. The individual effect of family history (OR = 4.103, 95%CI 2.660–6.330), diabetes (OR = 4.219, 95%CI 2.926–6.083), personal taste (OR = 1.256, 95%CI 1.091–1.593), drinking behavior (OR = 1.391, 95%CI 1.010–1.914) and smoking behavior (OR = 1.057, 95%CI 1.00–1.117) were significant (p < 0.05). But individual effect of sex, education, occupation, work/life pressure, environmental noise, sleeping time and sports habit were not significant (p > 0.05). The OR of interaction between FH and DM to hypertension was 16.537 (95%CI 10.070–21.157), between FH and drinking behavior was 4.0 (95%CI 2.461–6.502), FH and sport habit was 7.668 (95%CI 3.598–16.344), FH and personal taste was 6.521 (95%CI 3.858–11.024), FH and smoking behavior was 5.526 (95%CI 3.404–8.972), FH and work/life pressure was 4.087 (95%CI 2.144–7.788). The SI of FH and DM was 2.27, RERI was 8.68, AP was 52.48% and PAP was 55.86%. FH and DM, personal taste, smoking behavior had positive interaction on hypertension, but FH and sport habits, drinking behavior, work/life pressure had reverse interaction on hypertension. FH and diabetes were very important risk factors with significant effect for hypertension. FH and diabetes, personal taste, smoking behavior had positive interaction on hypertension, but FH and sport habits, drinking behavior, work/life pressure had reverse interaction on hypertension.

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Section: Discussionmentioning

confidence: 99%

The interaction on hypertension between family history and diabetes and other risk factors

Li¹,

Peng²,

Shao³

et al. 2021

Sci Rep

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“…WMHs contribute to the pathogenesis of cognitive impairment, and cardiovascular risk factors contribute to the development of WMHs and cognitive impairment. 2 Due to the prominent role of arterial hypertension in WMH development in epidemiological studies, [2][3][4][5][6][7][8][9][10][11][12] blood pressure (BP) represents a target to prevent or slow down progression of WMHs and their clinical consequences. 13 Previous epidemiological studies established the association between BP and WMHs [2][3][4][5][6][7][8][9][10][11][12] but did not elaborate on efficacy of antihypertensive treatment including different stages of BP control even though this represents an important determinant of brain health.…”

mentioning

confidence: 99%

Association of Blood Pressure, Its Treatment, and Treatment Efficacy With Volume of White Matter Hyperintensities in the Population-Based 1000BRAINS Study

Gronewold

Jokisch

Schramm³

et al. 2021

Hypertension

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White matter hyperintensities (WMHs) of presumed vascular origin are a frequent finding in cerebral magnetic resonance imaging of older people. They are attributed to small vessel disease and involved in the pathogenesis of cognitive decline. Since vascular risk factors, especially arterial hypertension, predispose to small vessel disease, we analyzed the association of systolic blood pressure (SBP), diastolic blood pressure (DBP), and antihypertensive medications with WMH volume in 560 participants of the 1000BRAINS study, drawn from the population-based Heinz Nixdorf Recall study (65.2±7.5 years; 51.4% men). Further, we analyzed treatment efficacy using a classification of 6 BP treatment groups defined by antihypertensive medication and level of BP: (1) untreated BP <120/<80 mm Hg, (2) untreated SBP 120 to 139 or DBP 80 to 89 mm Hg, (3) untreated BP ≥140 or ≥90 mm Hg, (4) treated BP <120/<80 mm Hg, (5) treated SBP 120 to 139 or DBP 80 to 89 mm Hg, and (6) treated BP ≥140 or ≥90 mm Hg. Median WMH volume (Q1–Q3) was 4.6 (3.0–7.8) cm 3 ; mean±SD of SBP and DBP was 128.6±17.4 and 76.1±9.8 mm Hg. In multivariable linear regression models, continuous SBP (β=0.63 cm 3 per 10 mm Hg [95% CI, 0.32–0.94]), DBP (0.64 cm 3 per 5 mmHg [95% CI, 0.37–0.91]), and antihypertensive treatment (1.23 cm 3 [95% CI, 0.14–2.23]) were significantly associated with WMH volume. Regarding treatment efficacy, only participants with hypertension despite treatment (treated BP ≥140 or ≥90 mm Hg) had significantly increased WMH volume (4.24 cm 3 [2.36–6.13]) compared with normotension without treatment (untreated BP <120/<80 mm Hg). Our results suggest that WMHs represent a marker of advanced hypertension pathology. Hence, early treatment should prevent WMHs.

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“…This result is consistent with that of previous studies. A previous study of 789 older adults also reported no significant correlation between high HDL levels and brain volume [ 35 ]. Furthermore, Leeuw et al reported that LDL and HDL were not associated with brain volume in 3962 participants [ 36 ].…”

Section: Discussionmentioning

confidence: 94%

Effects of Obesity, Blood Pressure, and Blood Metabolic Biomarkers on Grey Matter Brain Healthcare Quotient: A Large Cohort Study of a Magnetic Resonance Imaging Brain Screening System in Japan

Watanabe

Kakeda

Nemoto

et al. 2022

JCM

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This study investigated the relationship between grey matter (GM) volume and blood biomarkers, blood pressure, and obesity. We aimed to elucidate lifestyle factors that promote GM volume loss. A total of 1799 participants underwent the brain dock as a medical checkup. Data regarding blood pressure, obesity measurements, and standard blood biomarkers were obtained. Further, brain magnetic resonance imaging (MRI), including high-resolution T1-weighted imaging, was performed. We calculated the grey matter brain healthcare quotient (GM-BHQ), which represents GM volume as a deviation value. After adjusting for confounding variables, multiple regression analysis revealed that body mass index (BMI) (b = −0.28, p < 0.001), gamma-glutamyltransferase (γ-GTP) (b = −0.01, p = 0.16), and fasting blood glucose (b = −0.02, p = 0.049) were significantly correlated with GM-BHQ. Although the current cross-sectional study cannot determine a cause-and-effect relationship, elevated BMI, γ-GTP, and fasting blood glucose could promote GM volume loss.

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Vascular Risk Factors and Findings on Brain MRI of Elderly Adult American Indians: The Strong Heart Study

Cited by 12 publications

References 53 publications

The interaction on hypertension between family history and diabetes and other risk factors

The interaction on hypertension between family history and diabetes and other risk factors

Association of Blood Pressure, Its Treatment, and Treatment Efficacy With Volume of White Matter Hyperintensities in the Population-Based 1000BRAINS Study

Effects of Obesity, Blood Pressure, and Blood Metabolic Biomarkers on Grey Matter Brain Healthcare Quotient: A Large Cohort Study of a Magnetic Resonance Imaging Brain Screening System in Japan

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