Cuiping Liu

Dr. Cuiping Liu

Qingdao University
orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 June 2023 in Journal of Medical Internet Research
Verified
Journal Article
Open access
QDQian Dong
Qian Dong
TLTing Liu
Ting Liu
RLRan Liu
Ran Liu
HYHongxia Yang
Hongxia Yang
CLCuiping Liu
Cuiping Liu
Background: In a world of rapid digital technology development, the lack of digital health literacy (DHL) among older people cannot be ignored. DHL is becoming an essential competency that can facilitate the health status and health management of older adults. DHL interventions that are feasible and appropriate can be implemented on a large scale through the health care system for older people. Objective: The purpose of this meta-analysis was to assess the effectiveness of DHL interventions for older adults. Methods: English publications in PubMed, Web of Science, Embase, and the Cochrane Library were searched from inception to November 20, 2022. Two reviewers independently completed the data extraction and quality assessment. Review Manager (version 5.4; Cochrane Informatics & Technology Services) software was used for all meta-analyses. Results: A total of 7 studies, including 2 randomized controlled trials and 5 quasi-experimental studies, involving 710 older adults were considered eligible. The main outcome was scores on the eHealth Literacy Scale, and secondary outcomes were knowledge, self-efficacy, and skills. Quasi-experimental studies compared baseline and postintervention outcomes, while randomized controlled trials compared pre- and postintervention outcomes in the intervention group. Of the 7 studies, 3 used face-to-face instruction, while 4 adopted web-based interventions. Among them, 4 of the interventions were conducted using theoretical guidance, while 3 were not. Intervention duration varied from 2 to 8 weeks. In addition, the studies included were all conducted in developed countries, mainly in the United States. Pooled analysis presented that DHL interventions had positive effects on eHealth literacy efficacy (standardized mean difference 1.15, 95% CI 0.46 to 1.84; P=.001). Subgroup analysis revealed that DHL interventions that chose face-to-face teaching (standardized mean difference 1.15, 95% CI 0.46 to 1.84; P=.001), were guided by a conceptual framework (standardized mean difference 1.15, 95% CI 0.46 to 1.84; P=.001), and were sustained over 4 weeks (standardized mean difference 1.1, 95% CI 0.46 to 1.84; P=.001) had a more significant effect. Moreover, the outcomes showed considerable gains in knowledge (standardized mean difference 0.93, 95% CI 0.54 to 1.31; P<.001) and self-efficacy (standardized mean difference 0.96, 95% CI 0.16 to 1.77; P=.02). No statistically significant effect was found for skills (standardized mean difference 0.77, 95% CI –0.30 to 1.85; P=.16). The small number of studies, variable study quality, and heterogeneity are some limitations of this review. Conclusions: DHL interventions have positive effects on the health status and health management of older adults. Practical and effective DHL interventions are crucial for the use of modern digital information technology in managing the health of older people. Trial Registration: PROSPERO International Prospective Register of Systematic Reviews CRD42023410204; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=410204

9 July 2020 in International Journal of Social Psychiatry
Verified
Journal Article
Open access
PDF file
CYChongyu Yue
Chongyu Yue
CLCuiping Liu
Cuiping Liu
JWJing Wang
Jing Wang
MZMeng Zhang
Meng Zhang
HWHongjing Wu
Hongjing Wu
XYXiuling Yang
Xiuling Yang
Coronavirus disease 2019 (COVID-19) is a public health emergency of international concern and poses a threat to the mental health of pregnant women. The purpose of this study was to investigate the relationship between social support and anxiety, and the mediating effect of risk perception during the COVID-19 epidemic in the third trimester pregnant women in Qingdao, China. From 16 to 21 February 2020, an online survey was conducted, which collected the information on demographic data, anxiety, social support and risk perception to COVID-19 of women with established medical records in the ambulatory of the Department of Obstetrics at the Affiliated Hospital of Qingdao University. Anxiety was assessed by the Self-Rating Anxiety Scale (SAS), social support was assessed by the Social Support Rating Scale (SSRS) and risk perception was assessed by a self-designed questionnaire. This study had 308 participants with an average of 31.02 ± 3.91 years. During the period of prevention and control of the epidemic, most pregnant women adopted protective measures, such as wearing masks (97.4%), washing hands frequently (88.3%) and staying at home (76.3%). The average SAS, SSRS and risk perception scores of the participants were 42.45 ± 6.98, 44.60 ± 7.00 and 21.60 ± 5.74, respectively. The total effect of maternal social support on anxiety was −2.63 (95% confidence interval (CI): −4.40 ~ −1.44, p < .001), the direct effect was −1.44 (95% CI: −2.74 ~ −0.35, p < .05) and the indirect effect was −1.19 (95% CI: −2.49 ~ −0.51, p < .001). The third trimester pregnant women had a high level of social support, a medium level of risk perception to COVID-19 and were susceptible to anxiety. Risk perception played a mediating role between social support and anxiety.


11 January 2023 in Supportive Care in Cancer
Verified
Journal Article
Closed access
PDF file
MMMinghui Mo
Minghui Mo
PJPeipei Jia
Peipei Jia
KZKai Zhu
Kai Zhu
WHWenjing Huang
Wenjing Huang
LHLi Han
Li Han
XHXiahuang Huang
Xiahuang Huang

18 July 2024 in Frontiers in Public Health
Verified
Journal Article
Open access
PDF file
QDQian Dong
Qian Dong
XBXiaolong Bu
Xiaolong Bu
TWTing Wang
Ting Wang
MLMan Liu
Man Liu
FZFeng Zhong
Feng Zhong
CLCuiping Liu
Cuiping Liu
Background: As China rapidly ages, it has now become a deeply aging society with the largest number of older individuals in the world. The issue is particularly severe in rural areas. With the aging population growing and the older population expanding, health problems are becoming more prevalent among older individuals, particularly frailty and cognitive impairments. This study aimed to identify the profiles of physical frailty, social frailty, and cognitive impairment among older adults and explore the influencing factors.Methods: In this cross-sectional study, participants were recruited from six villages in four cities in Shandong Province, China from July to October 2023 through cluster random sampling. Latent profile analysis was used to determine the profiles of physical frailty, social frailty, and cognitive impairment. Chi-square tests and Mann–Whitney U tests were used for univariate analysis, while binary logistic regression was used to analyze the related factors.Results: Seven hundred and sixty-nine older adult care in rural areas showed two profiles: the “high cognitive function and low frailty” group (73.7%, n = 567) and the “low cognitive function and high frailty” group (26.3%, n = 202). A binary logistic regression found that older people were more likely to be aged 80 or older (OR = 2.253, p = 0.029), have a low income level (OR = 1.051, p = 0.007), have one or two (OR = 2.287, p = 0.004), or more than three chronic diseases (OR = 3.092, p = 0.002), and report moderate (OR = 3.406, p = 0.024) or poor health status (OR = 9.085, p < 0.001) in the “low cognitive function and high frailty” group. Meanwhile, older adults who have completed high school (OR = 0.428, p = 0.005) or junior college and above (OR = 0.208, p = 0.009), and engage in adequate physical activity (OR = 0.319, p < 0.001) were more likely to be in the “high cognitive function and low frailty” group.Conclusion: In the future, medical professors should increasingly prioritize promptly identifying and intervening in cognitive decline and frailty status in older individuals without delay.

14 August 2022 in Nursing Open
Verified
Journal Article
Open access
CLCuiping Liu
Cuiping Liu
CYChongyu Yue
Chongyu Yue
LLLei Liu
Lei Liu
TLTing Liu
Ting Liu
XWXuelei Wang
Xuelei Wang
SGShaobo Gao
Shaobo Gao
Aim: The aim of this study was to explore the mediating role of perceived social support in the association between perceived stress and job burnout in midwives. Design: A descriptive, cross-sectional online survey. Methods: Using the stratified cluster sampling method, 329 midwives in 20 hospitals in China were selected as the participants. They completed self-report assessment measures of job burnout, perceived stress and perceived social support. Results: 63.5% of the participants had job burnout. Perceived stress was negatively associated with social support (r = -.350, p <.01), while it was positively associated with job burnout (r = -.382, p <.01). Social support was negatively correlated with job burnout (r = -.569, p <.01). The total effect of perceived stress on job burnout was 0.474 (95% CI: 0.367 similar to 0.596, p<.01), the direct effect was 0.242 (95% CI: 0.142 similar to 0.355, p<.01), and the indirect effect was 0.232 (95% CI: 0.160 similar to 0.316, p < .01). Social support programmes for midwives should be implemented to control the impact of perceived stress on job burnout.