Dietary supplementation of Huangshan Maofeng green tea preventing hypertension of older C57BL/6 mice induced by desoxycorticosterone acetate and salt

Liu, Zeng-Hui; Xiao, Meng-Chao; Du, Zhaofeng; Li, Mengwan; Guo, Huiming; Yao, Ming; Wan, Xiaochun; Xie, Zhongwen

doi:10.1016/j.jnutbio.2020.108530

Cited by 6 publications

(2 citation statements)

References 63 publications

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“…The elderly with average economy and high level are happier than the very poor and very rich [18,31]. The former occupation is an agency, and the happiness of the elderly in the enterprise is significantly higher than that in other occupations [32][33][34].…”

Section: Discussion On the Mental Health Of The Elderly In Amentioning

confidence: 99%

Evaluation and Analysis of Elderly Mental Health Based on Artificial Intelligence

2023

Occupational Therapy International

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Objective. The purpose is to understand the depression status of the elderly in the community, explore its influencing factors, formulate a comprehensive psychological intervention plan according to the influencing factors, implement demonstration psychological intervention, and evaluate and feedback the effect, so as to provide a reference for improving the mental health of the elderly. Method. In order to make the output of different emotional data in LSTM more discriminative, a method to dynamically filter the output of LSTM is proposed. Combining the methods of Attention-LSTM, time-dimensional AI attention, and feature-dimensional AI attention, the best model in this paper is obtained. The multistage stratified cluster sampling method was used to conduct a questionnaire survey on the elderly aged 60 and above in a certain area, including the general demographic characteristics questionnaire of the elderly, the self-rating scale of mental health symptoms, and the health self-management ability of adults. All data were entered into a database using Excel software, and SPSS 19.0 statistical software was used for statistical analysis. Results/Discussion. The detection rate of depression ( GDS ≥ 11 points) among the elderly in a community in a certain area was 39.38%. Multivariate logistic regression analysis showed that family history of mental illness, more negative life events, decreased ability of daily living, living alone, and suffering from physical diseases in the past six months were the risk factors for depression in the elderly. Community health education can partially alleviate depression in the elderly. The detection rate and degree of depression of the elderly in the comprehensive psychological intervention group were significantly lower than those in the control group, and the difference was statistically significant ( P < 0.05 ).

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Section: Discussion On the Mental Health Of The Elderly In Amentioning

confidence: 99%

Evaluation and Analysis of Elderly Mental Health Based on Artificial Intelligence

2023

Occupational Therapy International

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“…The results of social survey analysis have shown that appropriate daily tea drinking is inversely correlated with various cardiovascular system mortality [ 96 , 97 ]. Green tea is able to reduce the amount of vasoconstriction by inhibiting the expression of key contractile genes (RhoA, ROCK1, ROCK2 and CPI-17) and proteins ( p -MYPT1, p -MLC20 and p-CPI-17) in the aorta of hypertensive mice [ 98 ]. l -theanine can regulate calcium-dependent and calcium sensitization pathways.…”

Section: The Effects Of Tea On Covid-19 and Its Sequelaementioning

confidence: 99%

The medicinal value of tea drinking in the management of COVID-19

Song

et al. 2023

Heliyon

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Uncovering characteristic and enantiomeric distribution of volatile components in Huangshan Maofeng and Zhejiang baked green teas

Zhang,

Lei,

Ding

et al. 2025

Food Chemistry

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Dietary supplementation of Huangshan Maofeng green tea preventing hypertension of older C57BL/6 mice induced by desoxycorticosterone acetate and salt

Cited by 6 publications

References 63 publications

Evaluation and Analysis of Elderly Mental Health Based on Artificial Intelligence

Evaluation and Analysis of Elderly Mental Health Based on Artificial Intelligence

The medicinal value of tea drinking in the management of COVID-19

Uncovering characteristic and enantiomeric distribution of volatile components in Huangshan Maofeng and Zhejiang baked green teas

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