Pub Date : 2024-02-05DOI: 10.1097/nr9.0000000000000048
Qingbo Fang, Tianlai Qiu, Yanqun Liu
Previous studies have reported an association between depression with gut microbiota and residential greenness exposure. The aim of our study was to explore whether gut microbiota and residential greenness co-exposure contributed to maternal prenatal depression. We collected demographic information, stool samples, and exposure to residential greenness from 75 pregnant women in the third trimester. Participants were divided into prenatal depression group and control group according to the score of Edinburgh Postnatal Depression Scale (EPDS). Gut microbiota was analyzed using 16S rRNA V3/V4 gene sequence. Residential greenness [normalized difference vegetation index (NDVI)] during pregnancy was calculated using database of National Science and Technology Infrastructure of China. There were significant differences between gut microbial composition in two groups. Phylum Patescibacteria (OR=5.34*e4, 95% CI: 1.48 - 1.92*e9, P-value=0.042) and greenness exposure (OR=0.15, 95% CI: 0.04 - 0.63, P-value=0.010) significantly contributed to prenatal depression, which indicated the protective effects of greenness exposure to prenatal depression. And Adlercreutzia (OR=1.44*e4, 95% CI: 2.70 – 7.70*e9, P-value=0.032) and greenness exposure (OR=0.39, 95% CI: 0.21 – 0.73, P-value=0.003) also significantly contributed to prenatal depression. Our study highlights that gut microbiota and greenness co-exposure during pregnancy contributed to maternal prenatal depression. Further research is needed to explore the mechanisms contributing to the co-exposure of gut microbiota and greenness associated with depression in pregnant women.
{"title":"Gut microbiota and greenness co-exposure contributed to maternal prenatal depression","authors":"Qingbo Fang, Tianlai Qiu, Yanqun Liu","doi":"10.1097/nr9.0000000000000048","DOIUrl":"https://doi.org/10.1097/nr9.0000000000000048","url":null,"abstract":"\u0000 \u0000 \u0000 Previous studies have reported an association between depression with gut microbiota and residential greenness exposure. The aim of our study was to explore whether gut microbiota and residential greenness co-exposure contributed to maternal prenatal depression.\u0000 \u0000 \u0000 \u0000 We collected demographic information, stool samples, and exposure to residential greenness from 75 pregnant women in the third trimester. Participants were divided into prenatal depression group and control group according to the score of Edinburgh Postnatal Depression Scale (EPDS). Gut microbiota was analyzed using 16S rRNA V3/V4 gene sequence. Residential greenness [normalized difference vegetation index (NDVI)] during pregnancy was calculated using database of National Science and Technology Infrastructure of China.\u0000 \u0000 \u0000 \u0000 There were significant differences between gut microbial composition in two groups. Phylum Patescibacteria (OR=5.34*e4, 95% CI: 1.48 - 1.92*e9, P-value=0.042) and greenness exposure (OR=0.15, 95% CI: 0.04 - 0.63, P-value=0.010) significantly contributed to prenatal depression, which indicated the protective effects of greenness exposure to prenatal depression. And Adlercreutzia (OR=1.44*e4, 95% CI: 2.70 – 7.70*e9, P-value=0.032) and greenness exposure (OR=0.39, 95% CI: 0.21 – 0.73, P-value=0.003) also significantly contributed to prenatal depression.\u0000 \u0000 \u0000 \u0000 Our study highlights that gut microbiota and greenness co-exposure during pregnancy contributed to maternal prenatal depression. Further research is needed to explore the mechanisms contributing to the co-exposure of gut microbiota and greenness associated with depression in pregnant women.\u0000","PeriodicalId":73407,"journal":{"name":"Interdisciplinary nursing research","volume":"46 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139864066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Patients undergoing surgery are at high risk of developing venous thromboembolism (VTE). This study aimed to determine the predictive value of risk factors for VTE in surgical patients and to develop a prediction model by integrating independent predictors. A total of 1,111 patients who underwent surgery at clinical departments in a tertiary general hospital were recruited between May and July 2021. Clinical data including patient-related, surgery-related, and laboratory parameters were extracted from the hospital information system and electronic medical records. A VTE prediction model incorporating ten risk variables was constructed using artificial neural networks (ANNs). Ten independent factors (X1: age, X2: alcohol consumption, X3: hypertension, X4: bleeding, X5: blood transfusions, X6: general anesthesia, X7: intrathecal anesthesia, X8: D-dimer, X9: C-reactive protein, and X10: lymphocyte percentage) were identified as associated with an increased risk of VTE. Ten-fold cross validation results showed that the ANN model was capable of predicting VTE in surgical patients, with an area under the curve (AUC) of 0.89, a Brier score of 0.01, an accuracy of 0.96, and a F1 score of 0.92. The ANN model slightly outperformed the logistic regression model and the Caprini model, but a DeLong test showed that the statistical difference in the AUCs of the ANN and logistic regression models was insignificant (P>0.05). Ten statistical indicators relevant to VTE risk prediction for surgical patients were identified, and ANN and logistic regression both showed promising results as decision-supporting tools for VTE prediction.
{"title":"Risk factor analysis and prediction model construction for surgical patients with venous thromboembolism: a prospective study","authors":"Shucheng Pan, Lifang Bian, Huafang Luo, Aaron Conway, Wenbo Qiao, Topatana Win, Wei Wang","doi":"10.1097/nr9.0000000000000047","DOIUrl":"https://doi.org/10.1097/nr9.0000000000000047","url":null,"abstract":"\u0000 \u0000 \u0000 Patients undergoing surgery are at high risk of developing venous thromboembolism (VTE). This study aimed to determine the predictive value of risk factors for VTE in surgical patients and to develop a prediction model by integrating independent predictors.\u0000 \u0000 \u0000 \u0000 A total of 1,111 patients who underwent surgery at clinical departments in a tertiary general hospital were recruited between May and July 2021. Clinical data including patient-related, surgery-related, and laboratory parameters were extracted from the hospital information system and electronic medical records. A VTE prediction model incorporating ten risk variables was constructed using artificial neural networks (ANNs).\u0000 \u0000 \u0000 \u0000 Ten independent factors (X1: age, X2: alcohol consumption, X3: hypertension, X4: bleeding, X5: blood transfusions, X6: general anesthesia, X7: intrathecal anesthesia, X8: D-dimer, X9: C-reactive protein, and X10: lymphocyte percentage) were identified as associated with an increased risk of VTE. Ten-fold cross validation results showed that the ANN model was capable of predicting VTE in surgical patients, with an area under the curve (AUC) of 0.89, a Brier score of 0.01, an accuracy of 0.96, and a F1 score of 0.92. The ANN model slightly outperformed the logistic regression model and the Caprini model, but a DeLong test showed that the statistical difference in the AUCs of the ANN and logistic regression models was insignificant (P>0.05).\u0000 \u0000 \u0000 \u0000 Ten statistical indicators relevant to VTE risk prediction for surgical patients were identified, and ANN and logistic regression both showed promising results as decision-supporting tools for VTE prediction.\u0000","PeriodicalId":73407,"journal":{"name":"Interdisciplinary nursing research","volume":"90 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140484836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-06DOI: 10.1097/nr9.0000000000000043
Xiaoying Wang, Hui Shan, Ju Zhang
Abstract Objective: To investigate the association between oxidative stress and the development of deep tissue pressure injury (DTPI) at the genetic level by analyzing microRNA (miRNA) expression profiles in DTPI tissues. Methods: A model of DTPI was established in three adult mice and three elderly mice, while another set of three adult mice and three elderly mice was used as controls. Wound tissues were stained with hematoxylin and eosin to observe the histological changes, and total RNA was extracted for high-throughput sequencing. Differentially expressed oxidative stress-related miRNAs were screened, and target genes were predicted using TargetScan (v5.0) and Miranda (v3.3a). Enrichment analysis of these genes was executed using the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. Selected differentially expressed miRNAs were further validated by qRT-PCR. Results: The results showed that 128 miRNAs were associated with oxidative stress, among which 86 were down-regulated, and 42 were upregulated in the DTPI-elderly group; 21 were differentially expressed in the DTPI-adult group ( P ＜0.05). Moreover, the miRNA associated with oxidation stress between the two groups was miR-181a-1-3p. Its target genes mainly regulated MAPK and AGE pathways. qRT-PCR results showed that miR-181a-1-3p and miR-21a-5p were significantly downregulated in DTPI tissues. Conclusion: By analyzing miRNA expression profiles related to oxidative stress via a high-throughput sequencing system, this study sheds light on the potential pathological mechanisms underpinning DTPI.
{"title":"Analysis of microRNA expression profiles involved oxidative stress in a deep tissue pressure injury","authors":"Xiaoying Wang, Hui Shan, Ju Zhang","doi":"10.1097/nr9.0000000000000043","DOIUrl":"https://doi.org/10.1097/nr9.0000000000000043","url":null,"abstract":"Abstract Objective: To investigate the association between oxidative stress and the development of deep tissue pressure injury (DTPI) at the genetic level by analyzing microRNA (miRNA) expression profiles in DTPI tissues. Methods: A model of DTPI was established in three adult mice and three elderly mice, while another set of three adult mice and three elderly mice was used as controls. Wound tissues were stained with hematoxylin and eosin to observe the histological changes, and total RNA was extracted for high-throughput sequencing. Differentially expressed oxidative stress-related miRNAs were screened, and target genes were predicted using TargetScan (v5.0) and Miranda (v3.3a). Enrichment analysis of these genes was executed using the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. Selected differentially expressed miRNAs were further validated by qRT-PCR. Results: The results showed that 128 miRNAs were associated with oxidative stress, among which 86 were down-regulated, and 42 were upregulated in the DTPI-elderly group; 21 were differentially expressed in the DTPI-adult group ( P ＜0.05). Moreover, the miRNA associated with oxidation stress between the two groups was miR-181a-1-3p. Its target genes mainly regulated MAPK and AGE pathways. qRT-PCR results showed that miR-181a-1-3p and miR-21a-5p were significantly downregulated in DTPI tissues. Conclusion: By analyzing miRNA expression profiles related to oxidative stress via a high-throughput sequencing system, this study sheds light on the potential pathological mechanisms underpinning DTPI.","PeriodicalId":73407,"journal":{"name":"Interdisciplinary nursing research","volume":"63 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135684635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1097/NR9.0000000000000044
M. Strickfaden, Orsolya Welch
Abstract Objective: This article reports on 5 specialized memory care environments within nursing homes in Canada through the theory of affordances with the aim of understanding the layered implications of affordances on memory care residents by curating objects within and configuring or designing spatial environments. Methods: A spatial/object-centric approach was taken by using a detailed analysis framework based on a robust interpretation of the theory of affordances and well-known elements, principles, and physical/construction properties of interior and spatial design. A web content analysis method, using hundreds of photographs, drawings, and textual information belonging to 5 nursing homes posted on websites and on social media, was used. Results: The results include a detailed analysis framework informed by affordance theory and 3 themes that reveal details about the designed environments. The 3 themes are: (1) how contextual factors of affordances of place and care played out, (2) how physical, cultural, and semantic affordances aided or detracted from memory care, and (3) how home-like environments with public, semiprivate, and private spaces involved multiple affordances and constraints that provided multisensory clues towards supporting and/or limiting memory care residents’ possible actions. Conclusions: We conclude that although affordances can open a range of possible actions, they are not ideal for configuring or designing home-like environments, and it is necessary for memory care residents to be presented with constraints that limit alternatives and misaffordances. This article provides evidence about how affordances and constraints are (and could be) intentionally embedded in home-like memory care environments in nursing homes.
{"title":"Advancing home-like environments for memory care residents within nursing homes","authors":"M. Strickfaden, Orsolya Welch","doi":"10.1097/NR9.0000000000000044","DOIUrl":"https://doi.org/10.1097/NR9.0000000000000044","url":null,"abstract":"Abstract Objective: This article reports on 5 specialized memory care environments within nursing homes in Canada through the theory of affordances with the aim of understanding the layered implications of affordances on memory care residents by curating objects within and configuring or designing spatial environments. Methods: A spatial/object-centric approach was taken by using a detailed analysis framework based on a robust interpretation of the theory of affordances and well-known elements, principles, and physical/construction properties of interior and spatial design. A web content analysis method, using hundreds of photographs, drawings, and textual information belonging to 5 nursing homes posted on websites and on social media, was used. Results: The results include a detailed analysis framework informed by affordance theory and 3 themes that reveal details about the designed environments. The 3 themes are: (1) how contextual factors of affordances of place and care played out, (2) how physical, cultural, and semantic affordances aided or detracted from memory care, and (3) how home-like environments with public, semiprivate, and private spaces involved multiple affordances and constraints that provided multisensory clues towards supporting and/or limiting memory care residents’ possible actions. Conclusions: We conclude that although affordances can open a range of possible actions, they are not ideal for configuring or designing home-like environments, and it is necessary for memory care residents to be presented with constraints that limit alternatives and misaffordances. This article provides evidence about how affordances and constraints are (and could be) intentionally embedded in home-like memory care environments in nursing homes.","PeriodicalId":73407,"journal":{"name":"Interdisciplinary nursing research","volume":"11 1","pages":"235 - 249"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139304646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1097/NR9.0000000000000045
Disha Zhu, Xuefeng Wang, Shaomei Shang
Abstract Objective: The three-dimensional (3D) force plate is a widely used device in biomechanical research, capable of measuring the ground reaction force (GRF) exerted on the sole of the foot. The forces of human joints are calculated by combining GRF with motion capture data. In the field of nursing and rehabilitation, evaluation of joint pressure can inform further therapy. However, its high cost often limits its application to a small population. Therefore, we aimed to design and manufacture a low-cost 3D force plate to address this issue, which will advance the evaluation of joint pressure in nursing practices. Methods: Through mechanical derivation and finite element method simulation, the feasibility of this 3D force plate was tested. We proposed a method based on simulation results to assist in calibration. Furthermore, we collected the GRF data of the author using the 3D force plate designed in this study. Then we imported this GRF data and the data obtained from motion capture into OpenSim. Results: The 3D force plate consisted of two 3D force sensors and a 600 × 300 mm board. The 3D force plate could measure the 3D reaction force between the sole of a subject’s foot and the ground. The 3D force plate was validated the usability in this study through theoretical calculation and a complete musculoskeletal analysis process. Conclusion: We have completed the design and practicality verification of this low-cost 3D force plate and provided a calibration method based on finite element method simulation assistance. Low-cost 3D force plates can accelerate the popularization and application of musculoskeletal analysis in the field of nursing and rehabilitation, which is helpful for precision health.
{"title":"Design and preliminary evaluation of a low-cost three-dimensional biomechanical force plate","authors":"Disha Zhu, Xuefeng Wang, Shaomei Shang","doi":"10.1097/NR9.0000000000000045","DOIUrl":"https://doi.org/10.1097/NR9.0000000000000045","url":null,"abstract":"Abstract Objective: The three-dimensional (3D) force plate is a widely used device in biomechanical research, capable of measuring the ground reaction force (GRF) exerted on the sole of the foot. The forces of human joints are calculated by combining GRF with motion capture data. In the field of nursing and rehabilitation, evaluation of joint pressure can inform further therapy. However, its high cost often limits its application to a small population. Therefore, we aimed to design and manufacture a low-cost 3D force plate to address this issue, which will advance the evaluation of joint pressure in nursing practices. Methods: Through mechanical derivation and finite element method simulation, the feasibility of this 3D force plate was tested. We proposed a method based on simulation results to assist in calibration. Furthermore, we collected the GRF data of the author using the 3D force plate designed in this study. Then we imported this GRF data and the data obtained from motion capture into OpenSim. Results: The 3D force plate consisted of two 3D force sensors and a 600 × 300 mm board. The 3D force plate could measure the 3D reaction force between the sole of a subject’s foot and the ground. The 3D force plate was validated the usability in this study through theoretical calculation and a complete musculoskeletal analysis process. Conclusion: We have completed the design and practicality verification of this low-cost 3D force plate and provided a calibration method based on finite element method simulation assistance. Low-cost 3D force plates can accelerate the popularization and application of musculoskeletal analysis in the field of nursing and rehabilitation, which is helpful for precision health.","PeriodicalId":73407,"journal":{"name":"Interdisciplinary nursing research","volume":"186 1","pages":"229 - 234"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139302995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1097/nr9.0000000000000042
Yaofei Duan, Tao Tan, Chan-Tong Lam, Rongsheng Wang, Xiaoyan Jin, Sio-Kei Im
Abstract Objective: Manual verification of RDT (rapid diagnostic test) results is a time-consuming task; therefore, it is essential to introduce an object detection model into RDT result recognition to reduce the time involved. To address these problems, a detector that can rapidly adapt to different RDT results in various regions is important. Methods: We employed the few-shot object detection strategy and trained the Faster R-CNN detector with the mainland dataset as the base class, followed by fine-tuning with the few-shot approach on the Macau RDT result dataset. Moreover, we introduced two novel data augmentation methods, namely the Light Simulation Mask method and Synthetic Positive Samples for an unbalanced dataset, to increase the sample size and balance the dataset of the RDT detection task. Result: Compared to LightR-YOLOv5, RDT-FSDet achieved mAP of 91.18 and recall of 93.59 on the Macau RDT dataset, demonstrating that this model can rapidly adapt to RDT results in different regions. The inference time of RDT-FSDet for each RDT result was 0.14 seconds, which can save approximately 90% of the detection time compared to manual screening. Conclusion: In addition to its application in the context of the COVID-19 pandemic, this model can also be used as a general small-sample detection model. RDT-FSDet can be applied to the detection tasks of other small datasets such as managing and analyzing detection results in other or future epidemics.
{"title":"RDT-FSDet: Few-shot object detection for rapid antigen test","authors":"Yaofei Duan, Tao Tan, Chan-Tong Lam, Rongsheng Wang, Xiaoyan Jin, Sio-Kei Im","doi":"10.1097/nr9.0000000000000042","DOIUrl":"https://doi.org/10.1097/nr9.0000000000000042","url":null,"abstract":"Abstract Objective: Manual verification of RDT (rapid diagnostic test) results is a time-consuming task; therefore, it is essential to introduce an object detection model into RDT result recognition to reduce the time involved. To address these problems, a detector that can rapidly adapt to different RDT results in various regions is important. Methods: We employed the few-shot object detection strategy and trained the Faster R-CNN detector with the mainland dataset as the base class, followed by fine-tuning with the few-shot approach on the Macau RDT result dataset. Moreover, we introduced two novel data augmentation methods, namely the Light Simulation Mask method and Synthetic Positive Samples for an unbalanced dataset, to increase the sample size and balance the dataset of the RDT detection task. Result: Compared to LightR-YOLOv5, RDT-FSDet achieved mAP of 91.18 and recall of 93.59 on the Macau RDT dataset, demonstrating that this model can rapidly adapt to RDT results in different regions. The inference time of RDT-FSDet for each RDT result was 0.14 seconds, which can save approximately 90% of the detection time compared to manual screening. Conclusion: In addition to its application in the context of the COVID-19 pandemic, this model can also be used as a general small-sample detection model. RDT-FSDet can be applied to the detection tasks of other small datasets such as managing and analyzing detection results in other or future epidemics.","PeriodicalId":73407,"journal":{"name":"Interdisciplinary nursing research","volume":"29 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135564930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Dysphagia, a widespread clinical condition in the elderly, can lead to malnutrition, aspiration pneumonia, and even death. Swallowing sounds emanate from vibrations that occur during the contraction of muscles in the mouth, pharynx, and laryngeal; the opening or closure of the glottis and esophageal sphincter; or the movement of food particles through the throat during swallowing. The development of wearable sensors, data science, and machine learning has spurred growing attention to the clinical method of monitoring swallowing sounds for accurate dysphagia diagnosis. This review delves into the acoustic theory foundation and the application of swallowing sound signal analysis methods, elucidating their potential clinical value for dysphagia diagnosis and treatment.
{"title":"A review on intelligent aid diagnosis for dysphagia using swallowing sounds","authors":"Dan Li, Junhui Wu, Xiaoyan Jin, Yanyun Li, Beibei Tong, Wen Zeng, Peiyuan Liu, Weixuan Wang, Shaomei Shang","doi":"10.1097/NR9.0000000000000040","DOIUrl":"https://doi.org/10.1097/NR9.0000000000000040","url":null,"abstract":"Abstract Dysphagia, a widespread clinical condition in the elderly, can lead to malnutrition, aspiration pneumonia, and even death. Swallowing sounds emanate from vibrations that occur during the contraction of muscles in the mouth, pharynx, and laryngeal; the opening or closure of the glottis and esophageal sphincter; or the movement of food particles through the throat during swallowing. The development of wearable sensors, data science, and machine learning has spurred growing attention to the clinical method of monitoring swallowing sounds for accurate dysphagia diagnosis. This review delves into the acoustic theory foundation and the application of swallowing sound signal analysis methods, elucidating their potential clinical value for dysphagia diagnosis and treatment.","PeriodicalId":73407,"journal":{"name":"Interdisciplinary nursing research","volume":"63 1","pages":"250 - 256"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139300945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-27DOI: 10.1097/nr9.0000000000000041
Mengyuan Li, Qiuhong Li, Chao Wu
Abstract Non-suicidal self-injury (NSSI) is a deliberate, direct, socially unacceptable, and nonsuicidal form of self-hurt, with a high incidence rate among adolescents. NSSI harms people’s bodies and minds, dampening their social function and increasing the risk of suicide. The Benefit and Barrier Model of NSSI proposes that the core benefit of NSSI is emotional gain, in other words, the emotion regulation effect of the NSSI behaviors. The purpose of this study was to elucidate the relationship between NSSI and emotional dysregulation, analyze the possible behavioral and neural mechanisms underlying emotional dysregulation in NSSI, and summarize the application of emotion regulation strategies in the intervention for NSSI. This review provides evidence and implications for further research on the mechanisms and interventions related to emotional dysregulation in people with NSSI.
{"title":"Mechanisms and intervention strategies of emotional dysregulation in individuals with non-suicidal self-injury","authors":"Mengyuan Li, Qiuhong Li, Chao Wu","doi":"10.1097/nr9.0000000000000041","DOIUrl":"https://doi.org/10.1097/nr9.0000000000000041","url":null,"abstract":"Abstract Non-suicidal self-injury (NSSI) is a deliberate, direct, socially unacceptable, and nonsuicidal form of self-hurt, with a high incidence rate among adolescents. NSSI harms people’s bodies and minds, dampening their social function and increasing the risk of suicide. The Benefit and Barrier Model of NSSI proposes that the core benefit of NSSI is emotional gain, in other words, the emotion regulation effect of the NSSI behaviors. The purpose of this study was to elucidate the relationship between NSSI and emotional dysregulation, analyze the possible behavioral and neural mechanisms underlying emotional dysregulation in NSSI, and summarize the application of emotion regulation strategies in the intervention for NSSI. This review provides evidence and implications for further research on the mechanisms and interventions related to emotional dysregulation in people with NSSI.","PeriodicalId":73407,"journal":{"name":"Interdisciplinary nursing research","volume":"24 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136316772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-20DOI: 10.1097/nr9.0000000000000036
Jiajing Li
Abstract Objective: As one of the core principles of person-centered care, supporting the autonomy of residents with dementia has received increasing attention worldwide. Supportive physical environments play an important role in promoting autonomy in the everyday life of residents in care facilities. However, there is no universal definition for autonomy in everyday life nor focused research on autonomy-supportive environments. Thus, this study aims to systematically review the existing evidence of autonomy-supportive design features based on a synthesized concept analysis of autonomy in everyday life. Methods: A synthesized concept analysis on autonomy was conducted based on related definitions of autonomy in design guidelines and environmental assessment tools of elderly care facilities. Using keywords from the concept analysis, multiple databases including PubMed, Web of Science, CINAHL, PsycINFO, and Dementia Design Info were used to carry out a systematic review of autonomy-supportive environmental design features for people with dementia. Additional guidelines and standards were manually searched. The design features supported by empirical studies and studies based on experts’ experience were extracted from the literature. The evidence intensity of each feature was assessed according to the quality and quantity of related studies. Results: Four domains of autonomy, freedom, independence, control, and choice emerged based on the concept analysis. Seventy-eight autonomy-supportive design features were extracted from the literature. Features are summarized into 8 categories: building layout, circulation space, living room, dining space, bathroom, bedroom, outdoor space, and details. Of design features, 60% in the category of building layout have been cross-validated by empirical studies, whereas only 25% of the overall design features have. Conclusions: The results of this review show that numerous design features of the physical environment can support the autonomy of people with dementia in the 4 domains. Features of building layout are well researched and the evidence intensity for the rest of design features still needs to be improved through future empirical studies.
摘要目的:作为以人为本的护理的核心原则之一，支持痴呆患者的自主性越来越受到世界各国的关注。支持性物理环境在促进护理机构居民日常生活中的自主性方面发挥着重要作用。然而，对于日常生活中的自主性，目前还没有一个通用的定义，也没有针对自主支持环境的重点研究。因此，本研究旨在基于日常生活中自主性的综合概念分析，系统地回顾自主支持设计特征的现有证据。方法:结合养老设施设计指南和环境评价工具中自主性的相关定义，对自主性进行综合概念分析。使用概念分析中的关键词，使用PubMed、Web of Science、CINAHL、PsycINFO和Dementia Design Info等多个数据库，对痴呆患者的自主支持环境设计特征进行系统回顾。手动搜索其他指导方针和标准。从文献中提取实证研究支持的设计特征和基于专家经验的研究。根据相关研究的质量和数量对各特征的证据强度进行评价。结果:在概念分析的基础上，出现了自主、自由、独立、控制和选择四个领域。从文献中提取了78个自主支持设计特征。特征归纳为8类:建筑布局、交通空间、客厅、餐厅空间、浴室、卧室、室外空间和细节。在设计特征中，60%的建筑布局类别经过了实证研究的交叉验证，而总体设计特征只有25%经过了实证研究的交叉验证。结论:本综述的结果表明，物理环境的许多设计特征可以支持痴呆患者在这四个领域的自主性。对建筑布局特征的研究比较充分，其余设计特征的证据强度有待于进一步的实证研究来提高。
{"title":"Autonomy-supportive environments for people with dementia: an evidence-based review","authors":"Jiajing Li","doi":"10.1097/nr9.0000000000000036","DOIUrl":"https://doi.org/10.1097/nr9.0000000000000036","url":null,"abstract":"Abstract Objective: As one of the core principles of person-centered care, supporting the autonomy of residents with dementia has received increasing attention worldwide. Supportive physical environments play an important role in promoting autonomy in the everyday life of residents in care facilities. However, there is no universal definition for autonomy in everyday life nor focused research on autonomy-supportive environments. Thus, this study aims to systematically review the existing evidence of autonomy-supportive design features based on a synthesized concept analysis of autonomy in everyday life. Methods: A synthesized concept analysis on autonomy was conducted based on related definitions of autonomy in design guidelines and environmental assessment tools of elderly care facilities. Using keywords from the concept analysis, multiple databases including PubMed, Web of Science, CINAHL, PsycINFO, and Dementia Design Info were used to carry out a systematic review of autonomy-supportive environmental design features for people with dementia. Additional guidelines and standards were manually searched. The design features supported by empirical studies and studies based on experts’ experience were extracted from the literature. The evidence intensity of each feature was assessed according to the quality and quantity of related studies. Results: Four domains of autonomy, freedom, independence, control, and choice emerged based on the concept analysis. Seventy-eight autonomy-supportive design features were extracted from the literature. Features are summarized into 8 categories: building layout, circulation space, living room, dining space, bathroom, bedroom, outdoor space, and details. Of design features, 60% in the category of building layout have been cross-validated by empirical studies, whereas only 25% of the overall design features have. Conclusions: The results of this review show that numerous design features of the physical environment can support the autonomy of people with dementia in the 4 domains. Features of building layout are well researched and the evidence intensity for the rest of design features still needs to be improved through future empirical studies.","PeriodicalId":73407,"journal":{"name":"Interdisciplinary nursing research","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135667406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-17DOI: 10.1097/nr9.0000000000000039
Lin Han, Mengyao Jiang, Lingling Zhang, Ning An
aEvidence-Based Nursing Center, School of Nursing, Lanzhou University, 28 Yanxi Road, Lanzhou730000, Gansu, China bDepartment of Nursing, Gansu Provincial Hospital, Lanzhou730000, Gansu, China cDepartment of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan430030, Hubei, China dDepartment of Nursing, University of Massachusetts Boston, 100 Morrissey Blvd, Boston, MA 02125, USA eKey Laboratory of Knowledge Engineering with Big Data of the Ministry of Education, School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230009, Anhui, China E-mail: [email protected] Sponsorships or competing interests that may be relevant to content are disclosed at the end of this article. Published online ■ ■ *Corresponding author: Mengyao Jiang, MSN This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0/
{"title":"5G technology: a perspective on transforming nursing education","authors":"Lin Han, Mengyao Jiang, Lingling Zhang, Ning An","doi":"10.1097/nr9.0000000000000039","DOIUrl":"https://doi.org/10.1097/nr9.0000000000000039","url":null,"abstract":"aEvidence-Based Nursing Center, School of Nursing, Lanzhou University, 28 Yanxi Road, Lanzhou730000, Gansu, China bDepartment of Nursing, Gansu Provincial Hospital, Lanzhou730000, Gansu, China cDepartment of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan430030, Hubei, China dDepartment of Nursing, University of Massachusetts Boston, 100 Morrissey Blvd, Boston, MA 02125, USA eKey Laboratory of Knowledge Engineering with Big Data of the Ministry of Education, School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230009, Anhui, China E-mail: [email protected] Sponsorships or competing interests that may be relevant to content are disclosed at the end of this article. Published online ■ ■ *Corresponding author: Mengyao Jiang, MSN This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0/","PeriodicalId":73407,"journal":{"name":"Interdisciplinary nursing research","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136033564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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