1.Influencing factors for frailty among convalescent elderly population
ZHANG Kangfeng ; LU Meijia ; XU Xiajuan ; WU Du
Journal of Preventive Medicine 2024;36(9):781-785
Objective:
To analyze the factors affecting frailty among convalescent elderly population, so as to provide the evidence for prevention and treatment of frailty.
Methods:
The convalescent elderly population at ages of 60 years and older were selected from the Wuyunshan Hospital in Hangzhou City using the convenience sampling method from April 2022 to April 2024. Demographic information, chronic disease and medication were collected using questionnaire survey. Frailty was assessed using the FRAIL Scale. Factors affecting frailty among convalescent elderly population were analyzed using a multivariable ordinal logistic regression model.
Results:
A total of 1 050 questionnaires were distributed, and 1 023 valid questionnaires were collected, with a response rate of 97.43%. There were 793 males (77.52%) and 230 females (22.48%); 192 respondents aged 60 to <70 years (18.77%), 431 respondents aged 70 to <80 years (42.13%) and 400 respondents aged ≥80 years (39.10%); 718 respondents with university degree (70.19%); 890 respondents with a monthly income of 10 000 yuan to <20 000 yuan (87.00%); 130 respondents with comorbidity and polypharmacy (12.71%); and 197 respondents with the risk of malnutrition (19.26%). There were 202 cases with pre-frailty (19.75%) and 47 cases with frailty (4.59%). Multivariable ordinal logistic regression analysis showed that the convalescent elderly population who were aged ≥80 years (OR=3.710, 95%CI: 2.340-5.883), with comorbidity and polypharmacy (OR=12.370, 95%CI: 7.949-20.369) and with the risk of malnutrition (OR=5.414, 95%CI: 3.691-7.933) had higher risk of frailty.
Conclusion
The high risk of frailty among convalescent elderly population is associated with age, comorbidity and polypharmacy, and malnutrition.
2.Effects of E-Coaching self-management model on health behavior change in perimenopausal women
Junping GUO ; Du WU ; Meijia LU ; Zheng LI
Chinese Journal of Health Management 2023;17(3):216-221
Objective:To analyze the influence of E-Coaching self-management model on health behavior change in perimenopausal women.Methods:In this randomized controlled trial, 230 perimenopausal women who participated in health management prograam in the Health Management Center of Hangzhou Wuyunshan Hospital from January 2020 to October 2021 were selected as study objects by convenience sampling method. The subjects were divided into the experimental group and the control group with random number table (115 cases in each group). The experimental group was managed by health coaches with E-Coaching self-management model, and the control group was routinely managed by health managers. The intervention lasted for 6 months. Finally, 29 cases were lost to follow-up due to the failure of the subjects to comply with protocol requirements or voluntary withdrawal. So, a total of 201 subjects were included in the analysis (107 cases in the experimental group and 94 cases in the control group). χ2 test and t test were used to analyze the differences in modified Kupperman symptom score, perimenopausal knowledge and belief, regular exercise and dietary healthy behavior stage between the two groups. And the influence of E-Coaching self-management model on health behavior change in perimenopausal women was analyzed too. Results:After the intervention, the total score of modified Kupperman scale and the scores of insomnia, anxiety and fatigue in the experimental group were all lower than those in the control group [(7.36±2.91) vs (10.01±2.78) points, (0.49±1.13) vs (1.27±1.20) points, (0.80±0.99) vs (1.68±1.39) points, (0.67±0.55) vs (0.93±0.64) points]( t=6.553, 4.785, 5.219, 3.013, all P<0.05); and the total score of knowledge and belief questionnaire and the score of knowledge or belief dimension in the experimental group were significantly higher than those in control group [(25.15±1.55) vs (21.05±1.64) points, (9.61±0.56) vs (9.03±0.68) points, (15.54±1.53) vs (12.02±1.28) points] ( t=-18.238, -6.570, -17.801, all P<0.05). After the intervention, the proportions of the experimental group in the precontemplation and contemplation stage of exercise and diet were both significantly lower than those before intervention ( χ2=116.616, 139.964, both P<0.001), and were lower than those in the control group (the proportion of precontemplation stage of exercise was 7.5% vs 38.3%, and the contemplation stage of exercise was 26.2% vs 34.0%, χ2=38.330; the proportion of precontemplation stage of diet was 3.7% vs 23.4%, and the contemplation stage of diet was 18.7% vs 29.8%, χ2=25.399; all P<0.001). After the intervention, the proportion of the subjects in the preparation stage and action stage the experimental group were significantly higher than those before intervention ( χ2=116.616, 139.964, both P<0.001), and were higher than those in the control group (the proportion in preparation stage of exercise 18.7% vs 8.5%, and the action stage of exercise 47.7% vs 19.1%, χ2=38.330; the proportion in preparation stage of diet 20.6% vs 14.9%, and the action stage of diet 57.0% vs 31.9%, χ2=25.399; all P<0.001). Conclusion:E-Coaching self-management model can improve women′s perimenopausal symptoms in certain degrees, it improves their understanding of perimenopausal knowledge, enhances self-management beliefs and promotes healthy behavior changes.
3.Deubiquitinase JOSD2 stabilizes YAP/TAZ to promote cholangiocarcinoma progression.
Meijia QIAN ; Fangjie YAN ; Weihua WANG ; Jiamin DU ; Tao YUAN ; Ruilin WU ; Chenxi ZHAO ; Jiao WANG ; Jiabin LU ; Bo ZHANG ; Nengming LIN ; Xin DONG ; Xiaoyang DAI ; Xiaowu DONG ; Bo YANG ; Hong ZHU ; Qiaojun HE
Acta Pharmaceutica Sinica B 2021;11(12):4008-4019
Cholangiocarcinoma (CCA) has emerged as an intractable cancer with scanty therapeutic regimens. The aberrant activation of Yes-associated protein (YAP) and transcriptional co-activator with PDZ-binding motif (TAZ) are reported to be common in CCA patients. However, the underpinning mechanism remains poorly understood. Deubiquitinase (DUB) is regarded as a main orchestrator in maintaining protein homeostasis. Here, we identified Josephin domain-containing protein 2 (JOSD2) as an essential DUB of YAP/TAZ that sustained the protein level through cleavage of polyubiquitin chains in a deubiquitinase activity-dependent manner. The depletion of JOSD2 promoted YAP/TAZ proteasomal degradation and significantly impeded CCA proliferation