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1.
Shanghai Journal of Preventive Medicine ; (12): 1197-1200, 2022.
Article in Chinese | WPRIM | ID: wpr-964214

ABSTRACT

ObjectiveTo investigate the association between obesity phenotype and the occurrence of hypertension in middle-aged and elderly adults in China. MethodsData were obtained from the China Health and Retirement Longitudinal Study (CHARLS) in 2011 and 2015. Participants who completed two visits with ≥45 years old age at baseline were enrolled. Obesity phenotype was defined as the following four groups according to weight and metabolic status:metabolically healthy non-overweight/obesity (MHNO), metabolically healthy overweight/obesity (MHO), metabolically abnormal non-overweight/obesity (MANO), and metabolically abnormal overweight/obesity (MAO). Cox proportional risk regression model was used to analyze the relationship between obesity phenotype and the incidence of hypertension. ResultsA total of3 781 subjects with 1 775(46.95%) males and mean age of (57.76±8.57) years were included in this study. When the metabolically normal non-overweight/obese group (MHNO) was regarded as the reference group, the risk of developing hypertension was significantly increased (P<0.01) in MHO, MANO, and MAO with HRs of 1.35(1.11‒1.63), 1.51(1.15‒1.97), and 2.00(1.68‒2.38) respectively.ConclusionBoth MHO phenotype and MAO/MANO are significantly associated with the occurrence of hypertension in middle-aged and elderly adults.

2.
Chinese Journal of Medical Education Research ; (12): 649-651, 2013.
Article in Chinese | WPRIM | ID: wpr-438369

ABSTRACT

With the rapid development and increased integration of Chinese economy with global economy, China assumes more responsibilities and obligations for global health, resulting in great poten-tial needs for professionals in global health. From the angle of global health talent need , this article deeply illuminated that the global health talent training was helpful to take advantage of international resources to solve the problem of health, serve China's peaceful development strategy, comply with development trend of public health, and remedy limitations of traditional medicine undergraduate. Training undergraduates in global health who are China-specific and global competent is the only way to meet the talent demand of China's future. Multi-level global health education will become an important part of medical education in future in China.

3.
Biomedical and Environmental Sciences ; (12): 234-242, 2011.
Article in English | WPRIM | ID: wpr-306868

ABSTRACT

<p><b>OBJECTIVE</b>To investigate the relationships between erythrocyte membrane n-6:n-3 PUFAs ratio and blood lipids and high sensitivity C-reactive protein (hs-CRP).</p><p><b>METHODS</b>The observational study consisted of a population-based cross-sectional study of 456 Chinese and a subsequent 1-year follow-up study of 171 subjects with the fasting plasma total cholesterol of 5.13-8.00 mmol/L.</p><p><b>RESULTS</b>In the cross-sectional analysis, plasma low-density lipoprotein cholesterol (LDL-c) had a significant and negative association with the erythrocyte membrane n-6:n-3 PUFAs ratio (P for trend=0.019) after adjusting for sex, age and total PUFA percentage. In the follow-up study, 171 subjects were categorized into quartiles by the changes of n-6:n-3 ratio in erythrocyte membrane (Δ=month 12-month 0). In the top quartile whose ratios of n-6:n-3 increased by an average of 1.25 during the follow-up, the LDL-c-lowering extent was 3.3 times of that in the lowest quartile whose ratios of n-6:n-3 decreased by an average of 1.13 (-1.07 mmol/L v.s. -0.32 mmol/L). The hsCRP decreased by 0.11 mg/dL in the lowest quartile while increasing by 0.10 mg/dL in the top quartile (P for difference=0.052).</p><p><b>CONCLUSION</b>Our results suggested that the balance between n-6 and n-3 fatty acids may optimize the cardiovascular benefits from dietary PUFAs.</p>


Subject(s)
Female , Humans , Male , Middle Aged , C-Reactive Protein , Metabolism , Cholesterol, HDL , Blood , Cholesterol, LDL , Blood , Cross-Sectional Studies , Erythrocyte Membrane , Metabolism , Fatty Acids, Omega-3 , Blood , Fatty Acids, Omega-6 , Blood , Lipids , Blood , Triglycerides , Blood
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