Lifestyle Changes Reduced Estimated White Matter Hyperintensities Based on Retinal Image Analysis.
Maria LaiJack LeeXinxin LiChloe KwokMarc Ka Chun ChongBenny Chung-Ying ZeePublished in: International journal of environmental research and public health (2023)
This study evaluates if there is an association between lifestyle changes and the risk of small vessel disease (SVD) as measured by cerebral white matter hyperintensities (WMH) estimated by the automatic retinal image analysis (ARIA) method. We recruited 274 individuals into a community cohort study. Subjects were assessed at baseline and annually with the Health-Promoting Lifestyle Profile II Questionnaire (HPLP-II) and underwent a simple physical assessment. Retinal images were taken using a non-mydriatic digital fundus camera to evaluate the level of WMH estimated by ARIA (ARIA-WMH) to measure the risk of small vessel disease. We calculated the changes from baseline to one year for the six domains of HPLP-II and analysed the relationship with the ARIA-WMH change. A total of 193 (70%) participants completed both the HPLP-II and ARIA-WMH assessments. The mean age was 59.1 ± 9.4 years, and 76.2% (147) were women. HPLP-II was moderate (Baseline, 138.96 ± 20.93; One-year, 141.97 ± 21.85). We observed a significant difference in ARIA-WMH change between diabetes and non-diabetes subjects (0.03 vs. -0.008, respectively, p = 0.03). A multivariate analysis model showed a significant interaction between the health responsibility (HR) domain and diabetes ( p = 0.005). For non-diabetes subgroups, those with improvement in the HR domain had significantly decreased in ARIA-WMH than those without HR improvement (-0.04 vs. 0.02, respectively, p = 0.003). The physical activity domain was negatively related to the change in ARIA-WMH ( p = 0.02). In conclusion, this study confirms that there is a significant association between lifestyle changes and ARIA-WMH. Furthermore, increasing health responsibility for non-diabetes subjects reduces the risk of having severe white matter hyperintensities.
Keyphrases
- cardiovascular disease
- white matter
- physical activity
- type diabetes
- glycemic control
- healthcare
- mental health
- optical coherence tomography
- diabetic retinopathy
- metabolic syndrome
- public health
- weight loss
- health information
- deep learning
- health promotion
- optic nerve
- adipose tissue
- cross sectional
- polycystic ovary syndrome
- mass spectrometry
- depressive symptoms
- pregnant women
- risk assessment
- sleep quality
- skeletal muscle
- climate change
- brain injury
- high speed
- data analysis