Browsing by Author "Yin, Zhaoxue"

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    Dietary Patterns Associated with Cognitive Function among the Older People in Underdeveloped Regions: Finding from the NCDFaC Study.
    (Nutrients, 2018-04-09) Yin, Zhaoxue; Chen, Jing; Zhang, Jian; Ren, Zeping; Dong, Kui; Kraus, Virginia B; Wang, Zhuoqun; Zhang, Mei; Zhai, Yi; Song, Pengkun; Zhao, Yanfang; Pang, Shaojie; Mi, Shengquan; Zhao, Wenhua
    Although dietary patterns are crucial to cognitive function, associations of dietary patterns with cognitive function have not yet been fully understood. This cross-sectional study explored dietary patterns associated with cognitive function among the older adults in underdeveloped regions, using 1504 community-dwelling older adults aged 60 and over. Diet was assessed using a food frequency questionnaire and 24-h dietary recall. Factor analysis was used to extract dietary patterns. Global cognitive function was assessed using the Mini-Mental State Examination (MMSE). Two dietary patterns, a "mushroom, vegetable, and fruits" (MVF) pattern and a "meat and soybean products" (MS) pattern, were identified. The MVF pattern, characterized by high consumption of mushrooms, vegetables, and fruits was significantly positively associated with cognitive function (p < 0.05), with an odds ratio of (95% CIs) 0.60 (0.38, 0.94) for cognitive impairment and β (95% CIs) 0.15 (0.02, 0.29) for -log (31-MMSE score). The MS pattern, characterized by high consumption of soybean products and meat, was also associated with better cognitive function, with an odds ratio of 0.47 (95% CIs 0.30, 0.74) for cognitive impairment and β (95% CIs) 0.34 (0.21, 0.47) for -log (31-MMSE score). Our results suggested that both the MVF and MS patterns were positively associated with better cognitive function among older adults in underdeveloped regions.
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    Gender-dependent association of body mass index and waist circumference with disability in the Chinese oldest old.
    (Obesity (Silver Spring), 2014-08) Yin, Zhaoxue; Shi, Xiaoming; Kraus, Virginia B; Brasher, Melanie Sereny; Chen, Huashuai; Liu, Yuzhi; Lv, Yuebin; Zeng, Yi
    OBJECTIVES: To explore associations of BMI and waist circumference (WC) with disability among the Chinese oldest old. METHODS: The 5,495 oldest old in the sixth wave of Chinese Longitudinal Healthy Longevity Study conducted in 2011 were included in this study. Disability was assessed by activities of daily living (ADL); height and weight for BMI and WC were measured; information including socio-demographics, lifestyles, and health status was collected. RESULTS: Generalized additive models analysis showed that the association of BMI/WC with ADL disability was nonlinear. Among the males, logistic regression results supported a "J" shape association between ADL disability with BMI/WC-the highest tertile group in BMI or WC was significantly associated with an increased risk of ADL disability: odds ratio 1.78 (95% confidence interval (CI): 1.26-2.52) for BMI and 2.01 (95% CI: 1.44-2.82) for WC. Among females, an inverse "J" shape association was found, only the lowest tertile group before the cutoff point had an increased risk of ADL disability: odds ratio 1.42 (95%CI: 1.02-1.97) for BMI and 1.47 (95% CI:1.06-2.04) for WC. CONCLUSIONS: Associations of BMI and WC with ADL disability are significant even in the oldest old, but differ between the genders.
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    Incorporating biomarkers into the study of socio-economic status and health among older adults in China.
    (SSM - population health, 2017-12) Brasher, Melanie Sereny; George, Linda K; Shi, Xiaoming; Yin, Zhaoxue; Zeng, Yi
    The social gradient in health - that individuals with lower SES have worse health than those with higher SES- is welldocumented using self-reports of health in more developed countries. Less is known about the relationship between SES and health biomarkers among older adults residing in less developed countries. We use data from the ChineseLongitudinal Healthy Longevity Survey (CLHLS) longevity areas sub-sample to examine the social gradient in healthamong rural young-old and oldest-old adults (N=2,121). Our health indicators include individual biomarkers, metabolic syndrome, and self-reports of health. We found a largely positive relationship between SES and health. SES was more consistently associated with individual biomarkers among the oldest-old than the young-old, providing evidence for cumulative disadvantage. We discuss the implications of our findings for older adults who have lived through different social, economic, and health regimes.