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Deng Y, Zhou J, Yang M, Weng Y, Xiong X. Quality assessment of temporomandibular disorders-related information on Chinese social media: A cross-sectional study. Digit Health 2025; 11:20552076251327039. [PMID: 40109404 PMCID: PMC11920988 DOI: 10.1177/20552076251327039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2024] [Accepted: 02/24/2025] [Indexed: 03/22/2025] Open
Abstract
Background Temporomandibular disorders (TMDs) affect people's quality of life greatly, and precise understanding of TMDs contributes to a proper treatment choice. Social media is an access to health information, hence it is needed to evaluate the quality of relative information on social media. Objective This research aims to assess the quality of information about TMDs understood by the public on two mainstream social media platforms, WeChat and Zhihu. They will be evaluated from four aspects: readability, credibility, concreteness, and accuracy. Methods Researchers searched for relative articles on WeChat and Zhihu and selected the samples. The readability was evaluated separately, and the DISCERN instrument was employed to evaluate the credibility and concreteness. Accuracy was measured by comparing samples with authoritative journals and textbooks. The Health On the Net code of conduct for medical and health websites (HONcode) and Global Quality Scale (GQS) were used as supplemental tools. Two researchers conducted this process independently, the intraclass correlation coefficient was used to examine the consistency. Results One hundred and eleven articles were included, with 47 articles from WeChat, 64 from Zhihu. For readability, the articles received a mean score of 27.79 (standard deviation (SD) 2.99) out of 35. The DISCERN instrument reported a mean score of 38.52 (SD 7.13) out of 80. As for accuracy, most articles (92 of 111) got 3.5 or more out of 5, demonstrating that the two platforms did well in this area. HONcode reported a mean score of 6.29 out of 16 (SD 1.42) while GQS showed a mean score of 2.91 out of 5 (SD 0.77), indicating the reliability needs improvements, and these articles can only provide limited help to the public. Conclusions The quality of TMDs-related information from WeChat and Zhihu is generally low. Although they do well on accuracy and readability, the credibility and concreteness still need further improvements. And different improvements and suggestions are recommended for uploaders and platforms.
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Affiliation(s)
- Yifei Deng
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - Jianing Zhou
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - Ming Yang
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - Yaxin Weng
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - Xin Xiong
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
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Qin C, Ma H, Mandizadza OO, Xu X, Ji C. Reporting quality of meta-analyses in acupuncture: Investigating adherence to the PRISMA statement. Medicine (Baltimore) 2024; 103:e39933. [PMID: 39331860 PMCID: PMC11441946 DOI: 10.1097/md.0000000000039933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Accepted: 09/13/2024] [Indexed: 09/29/2024] Open
Abstract
Although Systematic Reviews and Meta-Analyses (PRISMA) and Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Acupuncture (PRISMA-A) checklists had been in use for several years, compliance rate was still not optimistic. We investigated the quality of reporting for meta-analyses of acupuncture published in PubMed. We compared the compliance rate for the quality of reporting following the publication of both the PRISMA and PRISMA-A recommendations. We searched PubMed for articles published between January 1st, 2020 and December 31st, 2022, after Endnote X9 document management software and manual screening, 180 meta-analyses of acupuncture were selected as samples. The PRISMA, and PRISMA-A checklists were used to evaluate the quality of the literature. Data were collected using a standard form. Pearson χ2 test and/or Fisher exact test were used to assess differences in reporting among groups. Logistic regression is used to calculate OR and its 95% CI. The total reported compliance rate of all items in the PRISMA list was 61.3%, and the reported compliance rate of the items with a compliance rate of <50% accounted for 35.71% of the total items. The total reported coincidence rate of all items in the PRISMA-A was 56.9%, and the reported coincidence rate of the items with a reported coincidence rate of <50% accounted for 31.25% of all the items. The compliance rate of the published research to PRISMA or PRISMA-A has no statistical difference between the Journal Citation Reports partition (Quarter1-Quarter2) and Journal Citation Reports partition (Quarter3-Qurater4) (P > .05). Regardless of the level of journals published, have obvious deficiencies in the details of the study, the reference basis for the design of the study, the analysis method, the degree of strictness, the scientific nature, and other aspects. We must strengthen education on the standardization of research reports.
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Affiliation(s)
- Chu Qin
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
| | - Huan Ma
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
| | | | - Xiujuan Xu
- Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Conghua Ji
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
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Ye H, Lin L, Zhong D, Chen P, He X, Luo Z, Chen P. The impact of telehealth education on self-management in patients with coexisting type 2 diabetes mellitus and hypertension: a 26-week randomized controlled trial. J Endocrinol Invest 2024; 47:2361-2369. [PMID: 38351401 DOI: 10.1007/s40618-024-02310-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 01/11/2024] [Indexed: 09/03/2024]
Abstract
BACKGROUND The prevalence of coexisting type 2 diabetes mellitus and hypertension is increasing globally and posing significant health challenges. Effective self-management is crucial for controlling the disease and preventing complications. Telehealth education has emerged as a promising approach to enhancing self-management. OBJECTIVE This study aimed to investigate the effects of telehealth education on glycolipid metabolism, blood pressure, and self-management in patients with coexisting type 2 diabetes mellitus and hypertension. METHODS This study included 174 patients diagnosed with type 2 diabetes and hypertension from October 2022 to March 2023 at the 900th Hospital of the Joint Logistic Support Force of the Chinese People's Liberation Army. The patients were randomly assigned to the control group or the telehealth education group. The control group received conventional diabetes education including diet and exercise guidance, while the telehealth education group received additional online education through the WeChatapplication. Both groups were followed up for 26 weeks and the changes in glycolipid metabolism, blood pressure, and self-management were compared between the groups. RESULTS After 26 weeks of intervention, the telehealth education group showed statistically significant reductions in weight, body mass index, fasting blood glucose, 2 h postprandial blood glucose, and hemoglobin A1c compared to the control group (P < 0.05). The telehealth education group also exhibited a significant decrease in systolic blood pressure and low-density lipoprotein-C level (P < 0.05). The Summary of Diabetes Self-Care Activities score, which reflects the level of diabetes self-management, demonstrated that the telehealth education group had a significantly better total score as well as superior scores in all five sub-categories (diet, blood glucose testing, medication use, and foot care) compared to the control group (P < 0.05). CONCLUSION Our findings confirmed that telehealth education effectively enhanced the self-management capabilities of patients with coexisting type 2 diabetes and hypertension, leading to better glycolipid and blood pressure control. The use of telehealth education may potentially improve the interaction between medical staff and patients in the management of chronic diseases.
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Affiliation(s)
- Hongjiang Ye
- The 900th Hospital of Joint Logistic Support Force, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Ling Lin
- The 900th Hospital of Joint Logistic Support Force, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Dongmei Zhong
- The 900th Hospital of Joint Logistic Support Force, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Pin Chen
- The 900th Hospital of Joint Logistic Support Force, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Xiaoqiong He
- The 900th Hospital of Joint Logistic Support Force, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Zhurong Luo
- The 900th Hospital of Joint Logistic Support Force, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, China.
| | - Ping Chen
- The 904th Hospital of Joint Logistics Surport Force, PLA, Changzhou, China.
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Wang Y, Guo F, Wang J, Li Z, Tan W, Xie M, Yang X, Duan S, Song L, Cheng S, Liu Z, Liu H, Qiao J, Wang Y, Zhou L, Zhou X, Jiang H, Yu L. Efficacy of a WeChat-Based Multimodal Digital Transformation Management Model in New-Onset Mild to Moderate Hypertension: Randomized Clinical Trial. J Med Internet Res 2023; 25:e52464. [PMID: 38048156 PMCID: PMC10728790 DOI: 10.2196/52464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/10/2023] [Accepted: 11/17/2023] [Indexed: 12/05/2023] Open
Abstract
BACKGROUND The advantages of multimodal digitally transformed mobile health management for patients diagnosed with mild to moderate hypertension are not yet established. OBJECTIVE We aim to evaluate the therapeutic benefits of a novel WeChat-based multimodal digital transforming management model in mobile health blood pressure (BP) management. METHODS This randomized controlled clinical trial included 175 individuals with new-onset mild to moderate hypertension who were admitted to our center between September and October 2022. The patients were randomly assigned to either the multimodal intervention group (n=88) or the usual care group (n=87). The primary composite outcome was home and office BP differences after 6 months. The major secondary outcomes were 6-month quality-of-life scores, including the self-rating anxiety scale, self-rating depression scale, and Pittsburgh Sleep Quality Index. RESULTS The mean home BP decreased from 151.74 (SD 8.02)/94.22 (SD 9.32) to 126.19 (SD 8.45)/82.28 (SD 9.26) mm Hg in the multimodal intervention group and from 150.78 (SD 7.87)/91.53 (SD 9.78) to 133.48 (SD 10.86)/84.45 (SD 9.19) mm Hg in the usual care group, with a mean difference in systolic blood pressure and diastolic blood pressure of -8.25 mm Hg (95% CI -11.71 to -4.78 mm Hg; P<.001) and -4.85 mm Hg (95% CI -8.41 to -1.30 mm Hg; P=.008), respectively. The mean office BP decreased from 153.64 (SD 8.39)/93.56 (SD 8.45) to 127.81 (SD 8.04)/ 82.16 (SD 8.06) mm Hg in the multimodal intervention group and from 151.48 (SD 7.14)/(91.31 (SD 9.61) to 134.92 (SD 10.11)/85.09 (SD 8.26) mm Hg in the usual care group, with a mean difference in systolic blood pressure and diastolic blood pressure of -9.27 mm Hg (95% CI -12.62 to -5.91 mm Hg; P<.001) and -5.18 mm Hg (95% CI -8.47 to -1.89 mm Hg; P=.002), respectively. From baseline to 6 months, home BP control <140/90 mm Hg was achieved in 64 (72.7%) patients in the multimodal intervention group and 46 (52.9%) patients in the usual care group (P=.007). Meanwhile, home BP control <130/80 mm Hg was achieved in 32 (36.4%) patients in the multimodal intervention group and 16 (18.4%) patients in the usual care group (P=.008). After 6 months, there were significant differences in the quality-of-life total and graded scores, including self-rating anxiety scale scores (P=.04), self-rating depression scale scores (P=.03), and Pittsburgh Sleep Quality Index scores (P<.001), in the multimodal intervention group compared with the usual care group. CONCLUSIONS The WeChat-based multimodal intervention model improved the BP control rates and lowered the BP levels more than the usual care approach. The multimodal digital transforming management model for hypertension represents an emerging medical practice that utilizes the individual's various risk factor profiles for primary care and personalized therapy decision-making in patients with hypertension. TRIAL REGISTRATION Chinese Clinical Trial Registry ChiCTR2200063550; https://www.chictr.org.cn/showproj.html?proj=175816.
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Affiliation(s)
- Yijun Wang
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Molecular Medicine, Renmin Hospital of Wuhan University, Wuhan, China
- Hubei Key Laboratory of Autonomic Nervous System Modulation, Wuhan, China
- Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Fuding Guo
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Molecular Medicine, Renmin Hospital of Wuhan University, Wuhan, China
- Hubei Key Laboratory of Autonomic Nervous System Modulation, Wuhan, China
- Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Jun Wang
- Department of Cardiology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Zeyan Li
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Molecular Medicine, Renmin Hospital of Wuhan University, Wuhan, China
- Hubei Key Laboratory of Autonomic Nervous System Modulation, Wuhan, China
- Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Wuping Tan
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Molecular Medicine, Renmin Hospital of Wuhan University, Wuhan, China
- Hubei Key Laboratory of Autonomic Nervous System Modulation, Wuhan, China
- Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Mengjie Xie
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Molecular Medicine, Renmin Hospital of Wuhan University, Wuhan, China
- Hubei Key Laboratory of Autonomic Nervous System Modulation, Wuhan, China
- Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Xiaomeng Yang
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Molecular Medicine, Renmin Hospital of Wuhan University, Wuhan, China
- Hubei Key Laboratory of Autonomic Nervous System Modulation, Wuhan, China
- Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Shoupeng Duan
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Molecular Medicine, Renmin Hospital of Wuhan University, Wuhan, China
- Hubei Key Laboratory of Autonomic Nervous System Modulation, Wuhan, China
- Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Lingpeng Song
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Molecular Medicine, Renmin Hospital of Wuhan University, Wuhan, China
- Hubei Key Laboratory of Autonomic Nervous System Modulation, Wuhan, China
- Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Siyi Cheng
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Molecular Medicine, Renmin Hospital of Wuhan University, Wuhan, China
- Hubei Key Laboratory of Autonomic Nervous System Modulation, Wuhan, China
- Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Zhihao Liu
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Molecular Medicine, Renmin Hospital of Wuhan University, Wuhan, China
- Hubei Key Laboratory of Autonomic Nervous System Modulation, Wuhan, China
- Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Hengyang Liu
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Molecular Medicine, Renmin Hospital of Wuhan University, Wuhan, China
- Hubei Key Laboratory of Autonomic Nervous System Modulation, Wuhan, China
- Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Jiaming Qiao
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Molecular Medicine, Renmin Hospital of Wuhan University, Wuhan, China
- Hubei Key Laboratory of Autonomic Nervous System Modulation, Wuhan, China
- Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Yueyi Wang
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Molecular Medicine, Renmin Hospital of Wuhan University, Wuhan, China
- Hubei Key Laboratory of Autonomic Nervous System Modulation, Wuhan, China
- Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Liping Zhou
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Molecular Medicine, Renmin Hospital of Wuhan University, Wuhan, China
- Hubei Key Laboratory of Autonomic Nervous System Modulation, Wuhan, China
- Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Xiaoya Zhou
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Molecular Medicine, Renmin Hospital of Wuhan University, Wuhan, China
- Hubei Key Laboratory of Autonomic Nervous System Modulation, Wuhan, China
- Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Hong Jiang
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Molecular Medicine, Renmin Hospital of Wuhan University, Wuhan, China
- Hubei Key Laboratory of Autonomic Nervous System Modulation, Wuhan, China
- Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Lilei Yu
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Molecular Medicine, Renmin Hospital of Wuhan University, Wuhan, China
- Hubei Key Laboratory of Autonomic Nervous System Modulation, Wuhan, China
- Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
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Chen B, Dou Y, Yu X, Ma D. Influence of Internet-Based Health Management on Control of Clinical Parameters in Patients With Hypertension: Four-Year Longitudinal Study. J Med Internet Res 2023; 25:e42896. [PMID: 36939826 PMCID: PMC10131880 DOI: 10.2196/42896] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 12/22/2022] [Accepted: 02/24/2023] [Indexed: 03/21/2023] Open
Abstract
BACKGROUND In recent years, more and more studies have shown that internet-based health management can help patients with hypertension control their blood pressure. However, there is a lack of similar research in China. OBJECTIVE We designed this study to clarify the impact of long-term internet-based health management on the control of clinical parameters in patients with hypertension. These results are also expected to identify the relevant factors affecting the control of clinical parameters in hypertension more accurately toward developing more targeted health management strategies. METHODS This was a longitudinal study of internet-based health management in the five provinces of northwest China. The inclusion criteria were aged ≥18 years and no serious cognitive disease or mental disorder. After collecting the physical examination data of 8567 people in the five northwest provinces in 2013, we conducted online health management (including diet, exercise, and behavior) and follow-up. In the physical examination in 2013, 1008 new patients with hypertension were identified, who were divided into a good blood pressure control group and poor blood pressure control group. Physical examination and a questionnaire survey were conducted every 2 years to understand the changes of health management on the subjects' health-related behaviors. We then analyzed the changes of clinical indicators related to hypertension and the influencing factors related to blood pressure control in patients with hypertension. All statistical analyses were performed using R software (version 4.1.2) and a P value <.05 was considered statistically significant. RESULTS A total of 8567 people met the inclusion criteria and underwent health management. Self-comparison showed that after 4 years of health management, the smoking cessation rate and amount of exercise significantly increased (both P<.001). The low-density lipoprotein-cholesterol levels also increased (P=.005), whereas the high-density lipoprotein-cholesterol levels decreased (P=.007). The newly discovered patients with hypertension in 2013 were further screened. After 4 years of health management, their smoking cessation rate increased significantly (P=.03) and the amount of exercise increased but not significantly (P=.08). In terms of clinical indicators, the diastolic blood pressure considerably decreased (P<.001) and the systolic blood pressure slightly decreased (P=.13). The correlation analysis of blood pressure control in patients with new-onset hypertension showed that gender (female) and changing relevant factors according to health management behaviors (BMI; cereals and potatoes intake; fish, livestock meat, and eggs intake; fruit intake; and physical activity) were the protective factors of blood pressure control. CONCLUSIONS Internet-based health management has a significant and long-term effect on blood pressure control in patients with hypertension.
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Affiliation(s)
- Botian Chen
- School of Public Health, Peking University Health Science Center, Beijing, China
| | - Yuqi Dou
- School of Public Health, Peking University Health Science Center, Beijing, China
| | - Xue Yu
- School of Public Health, Peking University Health Science Center, Beijing, China
| | - Defu Ma
- School of Public Health, Peking University Health Science Center, Beijing, China
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