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1.
Int J Clin Pract ; 75(7): e14225, 2021 Jul.
Article in English | MEDLINE | ID: mdl-33871134

ABSTRACT

STUDY OBJECTIVES: In this study, we conducted a cross-sectional analysis of the sleep characteristics in the elderly Chinese people to comprehensively investigate the association between sleep and cognitive function in the elderly people. We aimed to evaluate the most important demographic factors, conventional physiological indices and living habits that may influence sleep. METHODS: We surveyed 2901 elderly people (age ≥60 years old) face-to-face from 1 July to 31 December 2017, who were recruited from 17 communities of the Pudong New Area (Shanghai, China) by probability proportional to size. The Pittsburgh sleep quality index (PSQI) scale was used to describe the sleep features of each participant. Cognitive assessment was performed using the mini-mental state examination (MMSE) scale, Montreal cognitive assessment (MoCA) and the clinical dementia rating (CDR) scale. Those factors which potentially influence sleep and consequentially may impact cognition in the elderly people were evaluated, and the correlations of sleep characteristics and cognitive function were explored by the linear regression analysis. RESULTS: Altogether, there were 1287 (44.4%) people taking part in the investigation. Sleep quality was significantly correlated with MMSE and MoCA total scores. Healthy sleep (especially enough sleep) was correlated with better cognitive functions. Besides recognised relative factors (such as age, sex and living alone), the number of children was found to be a strong risk factor of poor sleep. Anxiety before sleep and light/noise interference significantly damaged sleep while an exercise routine was associated with better sleep. Moderate levels of reading, watching TV and household work were correlated with superior sleep quality. CONCLUSION: In conclusion, sleep characteristics correlate with cognitive decline in the elderly people, and they can be influenced by multiple demographic factors and living habits. To improve sleep quality, it may be important to change sleep environment, to be relax, to increase physical exercise and recreational activities moderately.


Subject(s)
Cognitive Dysfunction , Aged , Child , China/epidemiology , Cognitive Dysfunction/epidemiology , Cross-Sectional Studies , Humans , Mental Status and Dementia Tests , Middle Aged , Sleep
2.
Ying Yong Sheng Tai Xue Bao ; 32(4): 1289-1297, 2021 Apr.
Article in Chinese | MEDLINE | ID: mdl-33899397

ABSTRACT

We investigated the effects of potassium-releasing bacteria on physiological and bioche-mical characteristics of Lycium barbarum (Cultivar Ningqi 1) under salt stress, with an experiment with treatments following randomized block design. The treatments included control (CK), 100 mmol·L-1 NaCl stress (NaCl), 100 mmol·L-1NaCl stress+KSBGY01 bacteria (NaCl-M1), 100 mmol·L-1NaCl stress+KSBGY02 bacteria (NaCl-M2), and 100 mmol·L-1NaCl stress+KSBGY01+KSBGY02 (NaCl-M3). We measued chlorophyll content, polyphenol content, superoxide anion (O2-·) content, hydrogen peroxide (H2O2) content, soluble sugar content, antioxidant enzyme activity and sucrose metabolic enzyme activity of Lycium barbarum seedlings. Results showed that the presence of potassium bacteria increased the values of flavonoids (FLAV), fluorescence excitation than anthocyanins relative index (FERARI), anthocyanins (ANTH-RB), nitrogen balance index (NBI-G), decreased the contents of O2-· and H2O2, and improved soluble sugar content, catalase (CAT) activity, sucrose phosphate synthase (SPS) activity, sucrose synthase (SS) activity and invertase (INV) activity of leaves in Lycium barbarum seedlings under salt stress. Among all the treatments, the highest values of ANTH-RB and NBI-G, soluble sugar content, and activities of CAT, SPS, SS, and INV presented in NaCl-M2 treatment, the highest values of SPAD, FLAV, and FERARI presented in NaCl-M3 treatment, the highest activity of superoxide dismutase (SOD) presented in NaCl-M1 treatment, the highest activity of glutathione peroxidase (GSH-Px) presented in NaCl treatment, and the highest peroxisome (POD) activity presented in CK. The 14 significant physiological and biochemical indicators in the leaves of L. barbarum seedling were analyzed by grey system correlation degree method. Our results suggested that the weighted correlation degree of phy-siological and biochemical indices of L. barbarum inoculated potassium-solubilizing bacteria was higher than that under CK and NaCl treatments. The highest weighted correlation was observed in NaCl-M2 treatment. Therefore, adding KSBGY02 potassium-solubilizing bacteria could alleviate the salt stress for L. barbarum seedlings.


Subject(s)
Lycium , Seedlings , Antioxidants , Bacteria , Hydrogen Peroxide , Potassium , Salt Stress , Stress, Physiological , Superoxide Dismutase
3.
Article in English | MEDLINE | ID: mdl-32260490

ABSTRACT

Background: Recently, the community rehabilitation model for schizophrenia patients has become increasingly popular, and the Shanghai Pudong New Area has developed a relatively complete community rehabilitation model. This study analyzed the correlation between family function and subjective quality of life in the rehabilitation of patients living with schizophrenia in the community. Methods: This study evaluated persons living with schizophrenia using the Family Assessment Device and the Subjective Quality of Life Scale. A convenient sampling method was used to select 281 rehabilitation patients living with schizophrenia in the community and 166 hospitalized persons living with schizophrenia. Results: There was a significant difference in the Family Assessment Device scores between rehabilitation patients living with schizophrenia in the community and hospitalized persons living with schizophrenia (p < 0.0001). The difference in the scores of the subjective quality of life assessment between rehabilitation patients living with schizophrenia in the community and hospitalized persons living with schizophrenia was not statistically significant (p > 0.05). The regression analysis showed that quality of family function had a significant effect on the subjective quality of life in rehabilitation patients living with schizophrenia in the community and hospitalized persons living with schizophrenia. (F = 10.770 p < 0.001), (F = 2.960 p < 0.01). Conclusions: The quality of family function plays an important role in improving the subjective quality of life in rehabilitation patients living with schizophrenia in the community. It may be beneficial to add some methods to improve family function in the current model of rehabilitation in the community.


Subject(s)
Quality of Life , Schizophrenia , Schizophrenic Psychology , Adult , China , Family Health , Female , Humans , Male , Middle Aged , Schizophrenia/rehabilitation
4.
Biomed Res Int ; 2020: 3054373, 2020.
Article in English | MEDLINE | ID: mdl-32090075

ABSTRACT

OBJECTIVES: In this study, we aimed to conduct a 6-year follow-up and acquire a large sample dataset to analyze the most important demographic factors and cognitive function scale variables associated with mild cognitive impairment (MCI) progression for an elderly cohort (age ≥ 60 years old). Patients and Methods. We analyzed the subjects who had participated in a survey in 2011 and were successfully contacted in the later survey in 2017. For each subject, the basic demographic information was recorded, including sex, age, education level, marital status, working status, income level, and physical mental illness history. Cognitive assessments were performed using the following scales if possible: (1) the mini-mental state examination (MMSE) scale, (2) Montreal cognitive assessment (MoCA), (3) the clinical dementia rating (CDR) scale, and (4) Hamilton Depression Scale (HAMD-17). RESULTS: The progression outcomes were different between sexes, among age brackets, education degrees, occupations types, and income levels; different progression groups had distinct children numbers (p < 0.001), heights (p < 0.001), heights (p < 0.001), heights (p < 0.001), heights (. CONCLUSIONS: In conclusion, the MCI progression outcomes were associated with sex, age, education degrees, occupations types, income level, children number, height, and weight. MoCA and MMSE scales are supporting tools to predict the progression outcomes, especially combined with the demographic data.


Subject(s)
Cognition , Cognitive Dysfunction/physiopathology , Demography , Disease Progression , Neuropsychological Tests , Aged , Aged, 80 and over , Cognitive Dysfunction/complications , Dementia/complications , Dementia/physiopathology , Educational Status , Employment , Female , Humans , Income , Male , ROC Curve , Risk Factors
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