Jun Ma

Dr. Jun Ma


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

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

Representative Publications

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24 June 2024 in Nurse Education in Practice
Verified
Journal Article
Closed access
SZSiqi Zhou
Siqi Zhou
JMJun Ma
Jun Ma
SFSisi Fan
Sisi Fan
HWHonghong Wang
Honghong Wang
WAWenhong An
Wenhong An
TXTao Xiao
Tao Xiao

8 January 2024 in Cancers
Verified
Journal Article
Open access
PDF file
JMJun Ma
Jun Ma
XXXueling Xiao
Xueling Xiao
SZSiqi Zhou
Siqi Zhou
CGCan Gu
Can Gu
FLFei Liu
Fei Liu
HWHonghong Wang
Honghong Wang
Purpose: in this scoping review, previously reported data were described and synthesized to document transition interventions in CCSs, and the features of intervention components of the current transition studies for CCSs were summarized. Methods: A literature search was conducted in PubMed, Web of Science, EMBASE, PsycINFO, CINAHL, Ovid, and the Cochrane Library following the PRISMA-ScR statement. All original studies (n = 9) investigating transition interventions in CCSs were included. Results: The current studies identified essential elements for transition programs, such as delivering knowledge, developing skills for coordination of care, and addressing psychosocial needs. However, the current transition interventions were generally in their infancy, and major deficits were found, including poorly reported intervention components and procedures, a limited number of relevant validated outcomes, and a failure to incorporate conceptual frameworks and international consensus statements. Conclusions: This scoping review mapped current evidence of transition interventions for CCSs and highlighted the paucity of data in this area. More high-quality and well-reported randomized controlled trials are needed for the enrichment and standardization of future transition interventions.

21 June 2024 in Sensors
Verified
Journal Article
Open access
PDF file
XBXiangtian Bai
Xiangtian Bai
YLYonghong Liu
Yonghong Liu
ZDZhe Dai
Zhe Dai
YCYongkang Chen
Yongkang Chen
PFPingping Fang
Pingping Fang
JMJun Ma
Jun Ma
Sleep quality is an important issue of public concern. This study, combined with sensor application, aims to explore the determinants of perceived comfort when using smart bedding to provide empirical evidence for improving sleep quality. This study was conducted in a standard sleep laboratory in Quanzhou, China, from March to April of 2023. Perceived comfort was evaluated using the Subjective Lying Comfort Evaluation on a seven-point rating scale, and body pressure distribution was measured using a pressure sensor. Correlation analysis was employed to analyze the relationship between perceived comfort and body pressure, and multiple linear regression was used to identify the factors of perceived comfort. The results showed that body pressure was partially correlated with perceived comfort, and sleep posture significantly influenced perceived comfort. In addition, height, weight, and body mass index are common factors that influence comfort. The findings highlight the importance of optimizing the angular range of boards based on their comfort performance to adjust sleeping posture and equalize pressure distribution. Future research should consider aspects related to the special needs of different populations (such as height and weight), as well as whether users are elderly and whether they have particular diseases. The design optimization of the bed board division and mattress softness, based on traditional smart bedding, can improve comfort and its effectiveness in reducing health risks and enhancing health status.