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- Title
Lifestyle Risk Factors and Findings on Brain Magnetic Resonance Imaging of Older Adult American Indians: The Strong Heart Study.
- Authors
Shibata, Dean; Suchy-Dicey, Astrid; Carty, Cara L.; Madhyastha, Tara; Ali, Tauqeer; Best, Lyle; Grabowski Jr., Thomas J.; Longstreth Jr., W.T.; Buchwald, Dedra
- Abstract
Background: Clinical stroke is prevalent in American Indians, but the lifestyle risk factors for vascular brain injury have not been well-studied in this population. The purpose of this study was to correlate brain magnetic resonance imaging (MRI) findings with obesity, alcohol use, and smoking behaviors in elderly American Indians from the Strong Heart Study. Methods: Cranial MRI scans (n = 789) were analyzed for dichotomous measures of infarcts, hemorrhages, white matter hyperintensities (WMH), and cerebral atrophy and continuous measures of total brain, WMH, and hippocampal volume. Poisson regression was used to estimate prevalence ratios, and linear regression was used to estimate measures of association for continuous outcomes. Models were adjusted for the risk factors of interest as well as age, sex, study site, income, education, hypertension, diabetes, and low-density lipoprotein cholesterol. Results: Smoking was associated with increased hippocampal atrophy (p = 0.002) and increased prevalence of sulcal widening (p < 0.001). Relative to nonsmokers, smokers with more than 25 pack-years of smoking had a 27% (95% CI 7–47%) increased prevalence of high-grade sulci, p = 0.005. Body mass index was inversely associated with prevalence of nonlacunar infarcts and sulcal widening (all p = 0.004). Alcohol use was not significantly associated with any of the measured MRI findings. Conclusions: This study found similar associations between smoking and vascular brain injury among American Indians, as seen in other populations. In particular, these findings support the role of smoking as a key correlate for cerebral atrophy.
- Subjects
MAGNETIC resonance imaging; OLDER people; LACUNAR stroke; CEREBRAL atrophy; BODY mass index; POISSON regression
- Publication
Neuroepidemiology, 2019, Vol 53, Issue 3/4, p162
- ISSN
0251-5350
- Publication type
Article
- DOI
10.1159/000501181