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    Practical Geriatrics    2023, 37 (10): 1076-1080.   DOI: 10.3969/j.issn.1003-9198.2023.10.026
    Abstract141)      PDF (999KB)(6364)      
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    Practical Geriatrics    2023, 37 (9): 878-881.   DOI: 10.3969/j.issn.1003-9198.2023.09.004
    Abstract113)      PDF (1042KB)(4906)      
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    Practical Geriatrics    2023, 37 (10): 978-983.   DOI: 10.3969/j.issn.1003-9198.2023.10.002
    Abstract118)      PDF (1157KB)(4764)      
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    Effects of cognitive emotion regulation strategies on frailty in elderly patients with comorbidities
    MIAO Yu-fei, QIAN Xiang-yun
    Practical Geriatrics    2023, 37 (8): 839-842.   DOI: 10.3969/j.issn.1003-9198.2023.08.020
    Abstract134)      PDF (1063KB)(4531)      
    Objective To explore the cognitive emotion regulation strategies adopted by the elderly patients with comorbidities in response to events and its relationship with frailty. Methods From May to December 2021, the convenience sampling method was used to select 300 elderly patients with comorbidities in Nantong Third People's Hospital as the research subjects. Questionnaires conducted using the patient general information questionnaire,Chinese version of Tilburg Frailty Assessment Scale, and Chinese version of Cognitive Emotion Regulation Questionnaire(CERQ-C). The incidence rate of frailty and the relationship of cognitive emotion regulation strategy with frailty were analyzed. Results The incidence rate of frailty in the elderly patients with comorbidities was 57.0%(171/300). There were significant differences in age, residence status, marital status, recent memory, smoking, drinking and cognitive emotional regulation between the frailty group and the non-frailty group. Binary Logistic regression analysis showed that aged, recent memory decline and non-adaptive cognitive emotional regulation were risk factors for frailty, while adaptive cognitive emotion regulation, refocus planning and drinking were protective factors. Conclusions The prevelence of frailty in elderly patients with comorbidities is high. Elderly patients with comorbidities tend to adopt non-adaptive cognitive emotion regulation strategies in response to negative life events. Cognitive emotional regulation strategies, age, recent memory and drinking can affect frailty.
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    Practical Geriatrics    2024, 38 (2): 109-113.   DOI: 10.3969/j.issn.1003-9198.2024.02.001
    Abstract173)      PDF (1278KB)(3698)      
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    Practical Geriatrics    2023, 37 (2): 116-118.   DOI: 10.3969/j.issn.1003-9198.2023.02.003
    Abstract138)      PDF (1157KB)(3029)      
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    Effects of social isolation, sleep quality and their interaction on cognitive function in the elderly
    WU Gen-li, ZHANG Li, ZHAO Ya-xuan
    Practical Geriatrics    2023, 37 (5): 495-499.   DOI: 10.3969/j.issn.1003-9198.2023.05.015
    Abstract129)      PDF (1039KB)(2917)      
    Objective To explore the effect of social isolation, sleep quality and their interaction on cognitive function in the elderly. Methods From October to December 2021, stratified sampling method was used to select 520 elderly people from Bengbu City. Lubben Social Network Scale, Pittsburgh Sleep Quality Index and Montreal Cognitive Assessment-Basic were used to evaluate the social isolation, sleep quality and cognitive function of the elderly, and Logistic regression analysis and interaction analysis were used to analyze the association among them. Results A total of 506 elderly were enrolled in the study finally. Among the 506 elderly, 166(32.8%) presented with social isolation, 138(27.3%) with sleep disorders, and 116(22.9%) with cognitive dysfunction. After adjusting age, education level, living status, marital status, and combined chronic diseases, the results of binary Logistic regression analysis showed that social isolation(OR=3.637, 95%CI:2.174-6.205) and sleep disorder(OR= 3.308, 95%CI:1.970-5.556) were the influencing factors of cognitive dysfunction in the elderly. The results of interaction analysis showed that the risk of cognitive impairment in the elderly with social isolation and sleep disorder was 11.811(95%CI:5.923-23.552) times higher than that in the elderly without social isolation and sleep disorder, with a relative excess risk due to interaction(RERI) of 8.167(95%CI:0.199-16.134), with an attributable proportion of interaction(AP)of 0.640(95%CI:0.379-0.902), with the synergy index(S) of 3.276(95%CI:1.374-7.814). Conclusions Social isolation and sleep quality are the risk factors of cognitive function in the elderly, and their effects on cognitive function have additive interaction.
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    Effects of transcranial direct current stimulation combined with motor imagery training on upper limb motor function and cognitive function in patients with hemiplegia after stroke
    REN Sha-sha, CHENG Kai, XU Liang, ZHOU Mo, GAO Ming-xia
    Practical Geriatrics    2023, 37 (5): 449-453.   DOI: 10.3969/j.issn.1003-9198.2023.05.005
    Abstract156)      PDF (1041KB)(2748)      
    Objective To observe the effect of transcranial direct current stimulation(tDCS) combined with motor imagery training(MIT) on upper limb motor function and cognitive function in the patients with hemiplegia after stroke. Methods A total of 84 patients with hemiplegia after stroke were randomly divided into tDCS group, MIT group and combination group, with 28 cases in each group. Before and 4 weeks after treatment, Fugl Meyer assessment for the upper extremity(FMA-UE), Wolf motor function test(WMFT), Mini-Mental State Examination(MMSE), Montreal Cognitive Assessment Scale(MoCA) and modified Barthel Index(MBI) were used to evaluate the effect in the three groups. Results After 4 weeks of treatment, the scores of FMA-UE, WMFT, MMSE, MoCA and MBI in the three groups were significantly improved compared with those before treatment(all P<0.05), especially in the combination group(P<0.05). Conclusions tDCS combined with MIT can significantly improve the motor function of upper limb and cognitive function in the patients with hemiplegia after stroke, and improve the ability of the activities of daily living.
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    Practical Geriatrics    2023, 37 (4): 402-406.   DOI: 10.3969/j.issn.1003-9198.2023.04.020
    Abstract147)      PDF (1006KB)(2739)      
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    Practical Geriatrics    2024, 38 (2): 119-122.   DOI: 10.3969/j.issn.1003-9198.2024.02.003
    Abstract155)      PDF (1125KB)(2633)      
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    Practical Geriatrics    2024, 38 (3): 232-235.   DOI: 10.3969/j.issn.1003-9198.2024.03.005
    Abstract113)      PDF (1157KB)(2562)      
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    Study on the predictive value of Padua score for venous thromboembolism in elderly inpatients
    GAO Wei-fei, LI Peng, QIAO Zhen, MA Li-na
    Practical Geriatrics    2023, 37 (8): 803-805.   DOI: 10.3969/j.issn.1003-9198.2023.08.012
    Abstract115)      PDF (1045KB)(2543)      
    Objective To assess the predictive value of Padua score for venous thromboembolism(VTE) in the elderly inpatients. Methods A retrospective analysis was performed and 150 elderly inpatients in Department of General Practice of Hangzhou Third People's Hospital from January 2018 to June 2021 were included. All of them underwent CT pulmonary angiography or venous ultrasound of both upper(lower)limbs, and were divided into VTE group and non-VTE group. The baseline data including age, gender, underlying disease, Padua score, D-dimer, mean platelet volume(MPV), albumin were collected and compared between the two groups. Multivariate Logistic regression was used to analyze the risk factors of VTE. Receiver operating characteristic (ROC) curve analysis was carried out to assess the predictive value of Padua score. Results There were statistically significant differences in Padua score, age, hypertension, acute infection, D-dimer, MPV and albumin between the two groups. Multivariate Logistic regression analysis showed that aged ≥85 years old was the independent risk factor for VTE of elderly inpatients. The area under the curve (AUC) of Padua score to predict the incidence of VTE was 0.631, with a cut-off value of 4.5, and the Youden index was 0.36. Conclusions The predictive value of Padua score for VTE in elderly inpatients is limited.
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    Practical Geriatrics    2023, 37 (10): 1041-1043.   DOI: 10.3969/j.issn.1003-9198.2023.10.016
    Abstract93)      PDF (1199KB)(2385)      
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    Practical Geriatrics    2024, 38 (3): 299-303.   DOI: 10.3969/j.issn.1003-9198.2024.03.021
    Abstract90)      PDF (1073KB)(2366)      
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    Practical Geriatrics    2022, 36 (8): 784-787.   DOI: 10.3969/j.issn.1003-9198.2022.08.008
    Abstract143)      PDF (1117KB)(2328)      
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    Practical Geriatrics    2024, 38 (2): 193-197.   DOI: 10.3969/j.issn.1003-9198.2024.02.021
    Abstract110)      PDF (1061KB)(2322)      
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    Practical Geriatrics    2022, 36 (8): 762-765.   DOI: 10.3969/j.issn.1003-9198.2022.08.003
    Abstract160)      PDF (995KB)(2301)      
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    Practical Geriatrics    2023, 37 (6): 626-629.   DOI: 10.3969/j.issn.1003-9198.2023.06.022
    Abstract163)      PDF (1101KB)(2279)      
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    Practical Geriatrics    2023, 37 (9): 873-877.   DOI: 10.3969/j.issn.1003-9198.2023.09.003
    Abstract149)      PDF (1107KB)(2228)      
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    Practical Geriatrics    2022, 36 (9): 952-955.   DOI: 10.3969/j.issn.1003-9198.2022.09.020
    Abstract143)      PDF (1187KB)(2134)      
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    Relationship between frailty and cognitive function of community-dwelling elderly: the mediating mechanism of resilience
    LIU Hong, LI Yan-zhang, ZHANG Hui, XIONG Mei, ZHANG Yu-ping
    Practical Geriatrics    2022, 36 (8): 842-845.   DOI: 10.3969/j.issn.1003-9198.2022.08.021
    Abstract143)      PDF (1085KB)(2100)      
    Objective To explore the relationship between frailty and cognitive function of community-dwelling elderly, and to analyze the mediating effect of resilience between frailty and cognitive function. Methods A total of 827 community-dwelling elderly were investigated by Tilburg Frailty Indicator(TFI), 10-item Connor-Davidson Resilience Scale(CD-RISC-10), Mini-Mental State Examination (MMSE) and self-made general condition scale. Results The incidence rate of frailty and cognitive decline among community-dwelling elderly was 30.11% and 21.04%, respectively. Frailty was significantly negatively correlated with resilience(r=-0.45, P<0.01) and cognitive function(r=-0.34, P<0.01), and resilience was significantly positively correlated with cognitive function (r=0.39, P<0.01). The model fitting results showed that resilience played a mediating role in the relationship between frailty and cognitive function(β=-0.13, P<0.01). Conclusions Frailty has a direct predictive effect on the cognitive function of community-dwelling elderly, and it is moderated by the mediating effect of resilience. Reducing the frailty degree of the elderly and improving the level of resilience might reduce the incidence of cognitive decline and promote the healthy aging of the elderly.
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    Practical Geriatrics    2023, 37 (9): 882-885.   DOI: 10.3969/j.issn.1003-9198.2023.09.005
    Abstract122)      PDF (1059KB)(2046)      
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    Relationship between serum soluble triggering receptor expressed on myeloid cells-1 and the severity and prognosis of elderly patients with acute ischemic stroke
    LIN Qiao-mao, LI Kuo, XIANG Ning, WANG Hai-yan
    Practical Geriatrics    2022, 36 (8): 827-832.   DOI: 10.3969/j.issn.1003-9198.2022.08.018
    Abstract118)      PDF (1075KB)(2039)      
    Objective To investigate the relationship between the serum level of soluble triggering receptor expressed on myeloid cells-1 (sTREM-1) and the severity and prognosis of the elderly patients with acute ischemic stroke (AIS). Methods A total of 98 elderly patients with AIS were selected as the AIS group and were divided into a mild deficit group (n=28), a moderate deficit group (n=29) and a severe deficit group (n=41) according to the score of National Institutes of Health Stroke Scale (NIHSS) at admission, and were divided into a poor prognosis group (n=38) and a good prognosis group (n=60) according to the score of modified Rankin Scale (mRS) after 6 months. And another 45 elderly healthy individuals were selected as the control group during the same period. The serum levels of sTREM-1, interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α) and S100B were measured by enzyme linked immunosorbent assay. Pearson or Spearman correlation was used to analyze the correlations of serum sTREM-1 with IL-6, TNF-α, S100B, NIHSS and mRS scores in AIS patients. The influencing factors of poor prognosis of AIS were analyzed by Logistic regression. The predictive value of sTREM-1 for poor prognosis was analyzed using receiver operator characteristic (ROC) curve. Results The serum levels of sTREM-1, IL-6, TNF-α and S100B were increased in the AIS group compared with the control group (all P<0.01). The serum levels of sTREM-1, IL-6, TNF-α and S100B were sequentially increased in the mild, moderate and severe deficit groups (all P<0.01). The serum level of sTREM-1 in the patients with AIS was positively correlated with the levels of IL-6, TNF-α, S100B and NIHSS, mRS scores (r=0.764, 0.816, 0.823, 0.733, 0.626, all P<0.01). Single factor analysis showed that the level of serum HDL-C was lower, the levels of LDL-C, sTREM-1, IL-6, TNF-α, S100B and NIHSS score were higher,the time from onset to admission was longer in the poor prognosis group than those in the good prognosis group (all P<0.05). Multivariate Logistic regression analysis showed that IL-6 (OR=1.037, 95%CI: 1.004-1.071), TNF-α (OR=1.046, 95%CI: 1.018-1.074), S100B (OR=1.139, 95%CI: 1.035-1.254), NIHSS score (OR=1.347, 95%CI: 1.085-1.674), sTREM-1 (OR=2.172, 95%CI: 1.098-4.296) were the independent risk factors of poor prognosis in the elderly patients with AIS. The area under ROC curve, sensitivity and specificity of serum sTREM-1 level to predict poor prognosis in the patients with AIS were 0.816, 94.74% and 61.67% respectively. Conclusions The increase of serum sTREM-1 in the elderly AIS patients is closely related to the severity and prognosis of AIS, and can be used as a predictor for poor prognosis.
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    Nutrition status and the risk factors in the elderly
    YU A-cui, CHEN Xi, YANG Meng-na, SONG Xiao-ming, LI Hao, CI Li-ya
    Practical Geriatrics    2022, 36 (8): 822-826.   DOI: 10.3969/j.issn.1003-9198.2022.08.017
    Abstract157)      PDF (1099KB)(2029)      
    Objective To assess the nutritional status in the elderly and to analyze the risk factors affecting the nutrition. Methods Through cluster sampling methods, 262,226 elderly people aged over 65 years old in Yantai City from December 2019 to March 2020 were selected and underwent Mini-Nutritional Assessment Short-Form (MNA-SF) assessment. Multivariate Logistic regression was used to analyze the risk factors influencing malnutrition. Results The results showed that among the 219 222 validly surveyed elderly people in Yantai, 24 489 (11.2%) were assessed to be at risk of malnutrition and 1589 (0.7%) were assessed as malnutrition. Compared with the normal nutrition group, there were statistical differences in age, education level, place of residence, marital status, pension mode, polypharmacy, self-care ability, cognitive function, risk of aspiration, risk of falling, risk of pressure ulcer, and depressive state in the risk of malnutrition and malnutrition group. Multivariate Logistic regression analysis showed that older age, urban residence, institutional care, decline in self-care ability, cognitive dysfunction, risk of aspiration, risk of falling, risk of pressure ulcers, depression and polypharmacy were the risk factors of malnutrition (P<0.01). Higher education level and being married were the protective factors of malnutrition in the elderly (P<0.01). Conclusions The incidence rate of malnutrition in the elderly is influenced by lots of factors. Attention should be paid to the assessment of the nutritional status, and targeted interventions should be formulated to improve their nutritional status.
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    Analysis of the influencing factors of nutritional status in elderly patients with stroke during convalescence by comprehensive geriatric assessment
    WANG Xiao-jiao, WANG Ning, CUI Hong, YE Tong, GUO Jia-yi, WANG Xiao-ming, JIA Xin
    Practical Geriatrics    2022, 36 (8): 809-812.   DOI: 10.3969/j.issn.1003-9198.2022.08.014
    Abstract122)      PDF (1022KB)(2011)      
    Objective To analyze the influencing factors of the nutritional status in the elderly patients with stroke during convalescence by comprehensive geriatric assessment (CGA). Methods A total of 114 patients with stroke ( age≥60 years old, the length of stay>24 h) in our hospital from August 2019 to April 2021 were selected, and were divided into 3 groups: the old aged group (aged ≥80 years old, n=38), the middle aged group ( aged 70-79 years old, n=40) and the young aged group ( aged 60-69 years old, n=36). The nutritional status of the patients were assessed by mini-nutritional assessment (MNA). All the patients received CGA. The influencing factors of malnutrition in the elderly patients with stroke during convalescent were analyzed by multivariate Logistic regression. Results Among the 114 patients, 34 patients presented with malnutrition risk (29.82%) and 32 patients with malnutrition (28.07%). There was significant difference in the incidence of malnutrition between the old aged group and the young aged group (P< 0.05). Multivariate Logistic regression analysis showed that age, the course of stroke, activities of daily living, dysphagia, tooth loss or aging affecting eating, psychological disorders, cognitive impairment and offspring looking after their parents were the independent influencing factors of malnutrition in the elderly patients with stroke during convalescence. Conclusions CGA can more comprehensively evaluate the influencing factors of nutritional status in the elderly patients with stroke during convalescence, which is helpful for the development of individualized management measures.
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    Practical Geriatrics    2024, 38 (3): 223-227.   DOI: 10.3969/j.issn.1003-9198.2024.03.003
    Abstract123)      PDF (1187KB)(2004)      
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    Practical Geriatrics    2023, 37 (5): 528-531.   DOI: 10.3969/j.issn.1003-9198.2023.05.023
    Abstract101)      PDF (1008KB)(1951)      
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    Practical Geriatrics    2023, 37 (9): 956-959.   DOI: 10.3969/j.issn.1003-9198.2023.09.022
    Abstract69)      PDF (1030KB)(1939)      
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    Relationship between sleep disorder and social frailty among community-dwelling elderly
    SONG Ge, WANG Ying, GAO Huan-ling, CHEN Ling, YANG Yu-lin
    Practical Geriatrics    2022, 36 (8): 813-817.   DOI: 10.3969/j.issn.1003-9198.2022.08.015
    Abstract150)      PDF (1054KB)(1921)      
    Objective To explore the relationship between sleep disorder and social frailty of the elderly in community, so as to provide reference for prevention and improvement of social frailty in the elderly. Methods The general data questionnaire, Social Frailty Assessing Tool and Pittsburgh Sleep Quality Index (PSQI) scale were surveyed through face-to-face interview with participants at their houses. And the relationship between sleep disorder and social frailty was analyzed. Results A total of 516 valid questionnaires were finally included in this research. The incidence rate of sleep disorder was 42.05%, and the incidence rate of social frailty was 12.79% in the elderly. There were significant differences in the number of chronic diseases, physical exercise, intellectual activities and sleep disorders between the social frailty group and the non-social frailty group (P<0.05 or P<0.01). Logistic regression analysis showed that sleep disorder was an independent risk factor of social frailty (OR=1.904,95%CI: 1.095-3.311, P=0.022).There were significant differences in the total score of social frailty and the score of each item between the sleep disorder group and the non-sleep disorder group (P<0.05 or P<0.01). Correlation analysis results showed that the total score of PSQI was moderately positively correlated with social frailty (r=0.429, P<0.001), and the scores of 7 factors of PSQI were positively correlated with social frailty (P<0.05). Conclusions The incidence rates of sleep disorder and social frailty are high in the elderly. Sleep disorder is an independent risk factor of social frailty in the elderly in the community. It is necessary to pay more attention to the sleep quality of the elderly, and to prevent and intervene the sleep disorder of the elderly from multiple dimensions, so as to further improve the health level and quality of life of the elderly population.
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    Practical Geriatrics    2022, 36 (8): 850-853.   DOI: 10.3969/j.issn.1003-9198.2022.08.023
    Abstract148)      PDF (1013KB)(1919)      
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