Comparative Effects of Diabetes Self-Management Programs on Type 2 Diabetes Clinical Outcomes: A Systematic Review and Network Meta-Analysis.

AIMS: This systematic review and network meta-analysis compared the effects of various diabetes self-management programs: Diabetes Self-Management Education (DSME), Diabetes Self-Management Support (DSMS), and Diabetes Self-Management Education and Support (DSMES). METHODS: We searched four electronic databases for eligible articles up to March 1, 2023. Only randomized controlled trials investigating the effects of DSME, DSMS, or DSMES on glycated haemoglobin (HbA1c) level, fasting blood glucose (FBG), total cholesterol (TC), systolic blood pressure (SBP), and diastolic blood pressure (DBP) in adults with type 2 diabetes were included. Cochrane Risk of Bias 2.0 tool was used to assess each study quality, and Confidence in Network Meta-Analysis was applied to evaluate the certainty of the evidence. Data were pooled with a random-effects model under a frequentist framework. RESULTS: A total of 108 studies encompassing 17,735 participants (mean age 57.4 years) were analysed. DSMES, compared with usual care, significantly reduced HbA1c level (mean difference = -0.61%, 95% confidence interval [CI] = -0.74 to -0.49; certainty of evidence = moderate), FBG (-23.33 mg/dL; -31.33 to -15.34; high), TC (-5.62 mg/dL; -8.69 to -2.55; high), SBP (-3.05 mmHg; -5.20 to -0.91; high), and DBP (-2.15 mmHg; -3.36 to -0.95; high). Compared with DSME, DSMES showed significantly greater improvements in HbA1c levels (-0.23%; -0.40 to -0.07; high) and DBP (-1.82 mmHg; -3.47 to -0.17; high). DSMES was ranked as the top treatment for improving diabetes clinical outcomes (0.82-0.97) in people with type 2 diabetes. CONCLUSIONS: DSMES, in people with type 2 diabetes, yields the greatest improvement in the key clinical outcomes of HbA1c, fasting blood glucose, and blood pressure levels. Healthcare providers should incorporate the DSMES approach into their daily care routines. Approximately 30% of the studies reviewed raised some concerns about their quality, underscoring the need for high-quality studies in this area.

Psychometric and structural properties of the traditional Chinese version of the sleep condition indicator for patients undergoing hemodialysis.

PURPOSE: Insomnia is a prevalent sleep disorder among patients undergoing hemodialysis for chronic kidney disease. This study aimed to translate the sleep condition indicator (SCI), an insomnia screening tool based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), into a traditional Chinese version (SCI-TC) and evaluate the reliability and validity of this version for patients undergoing hemodialysis. METHODS: This cross-sectional study conducted from November 2022 to June 2023 involved 200 patients on hemodialysis (mean age, 65.56 years; 61.5% men). Participants completed a series of questionnaires, with insomnia diagnosed according to DSM-5 criteria as the gold standard. A receiver operating characteristic (ROC) curve analysis was conducted to examine the sensitivity and specificity of the SCI-TC. RESULTS: According to the DSM-5 criteria, 38% of the participants had insomnia. Cronbach's alpha for the SCI-TC was 0.92. The SCI-TC exhibited a good fit as a two-factor model, and its scores were significantly associated with those of the traditional Chinese versions of the Insomnia Severity Index, Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, EuroQol 5-Dimensions scale, and EuroQol Visual Analogue Scale (r = - 0.94, - 0.53, - 0.38, 0.27, and 0.30, respectively; all p < 0.05). The ROC curve analysis revealed an optimal cutoff of 16 points, with the sensitivity, specificity, and area under curve of 88.2%, 84.7%, and 0.91(95% confidence interval, 0.87-0.95), respectively. CONCLUSION: The SCI-TC demonstrates robust reliability and validity in detecting insomnia among patients undergoing hemodialysis. These findings suggest that health-care providers should considering using the SCI as an easy-to-use tool for the timely detection of insomnia in this population.

Comparative insomnia prevalence between geriatrics lived in urban and rural areas: a multicenter nationwide study analysis.

AIMS: Insomnia is a common complaint among older adults. However, the comparative prevalence between older adults living in urban versus rural areas remains under-researched. This study aims to validate the overall prevalence of insomnia among older adults in Indonesia and investigate the comparative prevalence between older adults living in urban and rural areas. METHODS: The data were derived from the 2018 Indonesian Basic Health Research Study. We included a total of 93,830 older participants aged > 60 years old who completed the insomnia questions. The prevalence and regression models were analyzed using the SPSS software. RESULTS: The insomnia group has a higher age compared to the non-insomnia group (P < 0.05). Insomnia is more prevalent in females compared to males (P < 0.05). When classified by age groups (60-64, 65-69, 70-74, and > 75 years old), the prevalence of insomnia was 20%, 21%, 23%, and 24%, respectively. The prevalence of insomnia among older individuals living in rural areas was higher compared to those living in urban areas. In addition, increasing age, being female, unemployed, having comorbidities, being less active, and drinking alcohol are associated with insomnia symptoms. CONCLUSION: The findings of this study indicated that the prevalence of insomnia is high among older adults in Indonesia, with older adults living in rural areas exhibiting a higher prevalence compared to those living in urban areas. Our findings strengthen the importance of sleep management in clinical or community settings.

Web-based artificial intelligence to predict cognitive impairment following stroke: A multicenter study.

BACKGROUND AND PURPOSE: Post-stroke cognitive impairment (PSCI) is highly prevalent in modern society. However, there is limited study implying an accurate and explainable machine learning model to predict PSCI. The aim of this study is to develop and validate a web-based artificial intelligence (AI) tool for predicting PSCI. METHODS: The retrospective cohort study design was conducted to develop and validate a web-based prediction model. Adults who experienced a stroke between January 1, 2004, and September 30, 2017, were enrolled, and patients with PSCI were followed up from the stroke index date until their last follow-up. The model's performance metrics, including accuracy, area under the curve (AUC), recall, precision, and F1 score, were compared. RESULTS: A total of 3209 stroke patients were included in the study. The model demonstrated an accuracy of 0.8793, AUC of 0.9200, recall of 0.6332, precision of 0.9664, and F1 score of 0.7651. In the external validation phase, the accuracy improved to 0.9039, AUC to 0.9094, recall to 0.7457, precision to 0.9168, and F1 score to 0.8224. The final model can be accessed at https://psci-calculator.my.id/. CONCLUSION: Our results are able to produce a user-friendly interface that is useful for health practitioners to perform early prediction on PSCI. These findings also suggest that the provided AI model is reliable and can serve as a roadmap for future studies using AI models in a clinical setting.

Comparative efficacy of digitally assisted interventions for glycated haemoglobin levels among patients with type 2 diabetes: A systematic review and component network Meta-Analysis.

AIMS: To compare the efficacy of digitally assisted interventions on the glycated haemoglobin (HbA1c) levels of patients with type 2 diabetes by performing a systematic review, network meta-analysis and component network meta-analysis. METHODS: Six databases were searched to identify eligible articles from the inception of each database until 17 March 2023. We included randomized controlled trials evaluating HbA1c levels. Data were pooled with a random-effects model under a frequentist framework. The evidence certainty was assessed using Confidence in Network MetaAnalysis (CINeMA). The PROSPERO registration number was CRD42021283815. RESULTS: In total, 75 trials involving 9764 participants were included. Results from standard network meta-analyses of 17 interventions revealed that compared with standard care, a mobile application (MA) combined with a professional education programme and peer support education (PSE; -1.98, 95% confidence interval = -2.90 to -1.06, CINeMA score: moderate to high) significantly reduced HbA1c levels. The component analysis found that PSE (-1.50, -2.36 to -0.64), SMS (-0.33, -0.56 to -0.11), MA (-0.30, -0.56 to -0.04) and telephone calls (-0.30, -0.53 to -0.06) most effectively reduced HbA1c levels among patients with type 2 diabetes. CONCLUSIONS: SMS and MA are the optimal digitally assisted interventions for reducing HbA1c levels. Educators can integrate digitally assisted interventions complemented by educational programmes, particularly MA combined with professional education programme and PSE, into daily care to control HbA1c. The limitations of included trials include a lack of information on allocation concealment and blinding and the fact that long-term follow-up effects were not investigated.

Comparative efficacy of hypnotics in young and middle-aged adults with insomnia: a systematic review and network meta-analysis.

OBJECTIVE/BACKGROUND: Insomnia is highly prevalent in modern society. However, the hierarchical selection of hypnotics in young and middle-aged adults with insomnia remains unclear. We aimed to compare the efficacy and daytime drowsiness associated with different hypnotics for treating insomnia in young and middle-aged adults. METHODS: We searched Embase, PubMed, Cochrane Library, and ProQuest Dissertations and Theses A&I databases from inception until December 15, 2021. We also manually searched reference lists and relevant publications. The literature search, data collection, and risk of bias evaluation were all carried out separately by pairs of reviewers. We included randomized control trials (RCTs) that compared hypnotics approved by the Food and Drug Administration. The R and Stata software were both used to perform the meta-analysis. RESULTS: In total, 117 RCTs comprising 22,508 participants with the age of 18 to 65 years were included. Assessment of the efficacy of the hypnotics and adverse events (drowsiness) revealed that zolpidem improved all objective sleep parameters (oTST, oSOL, oWASO, and oSE), zopiclone increased oTST and oSE and reduced oSOL, and daridorexant increased oTST and reduced oWASO. Regarding subjective sleep outcomes, zolpidem exhibited beneficial effects on sTST, sSOL, and sWASO. Zaleplon reduced sSOL, and zopiclone was the recommended hypnotic for improving SQ. Zolpidem was associated with drowsiness effect (odds ratio = 1.82; 95% confidence interval = 1.25 to 2.65). The results of sensitivity analysis remained unchanged after the exclusion of studies reporting long-term effects. CONCLUSION: Zolpidem is recommended for managing sleep-onset insomnia and sleep maintenance insomnia but should be used with caution because of daytime drowsiness effects. Daridorexant is recommended as a promising agent for managing sleep maintenance insomnia.

Psychometric properties of Indonesian version of sleep condition indicator for screening poststroke insomnia.

BACKGROUND: No study has examined the psychometric properties of the sleep condition indicator (SCI) for screening poststroke insomnia in the Indonesian population. We aimed to develop the Indonesian version of the sleep condition indicator (ISCI) and to examine its psychometric properties for screening adult patients in late sub-acute and chronic periods after stroke. METHODS: This was a cross-sectional study with two stages. In the first stage, the English version of the SCI was translated into the ISCI using standard procedures. The psychometric properties of the ISCI were tested in the second stage. Internal consistency and test-retest reliability of ISCI were used to evaluate reliability. A confirmatory factor analysis (CFA) was performed to test construct validity. To test concurrent and convergent validity, the Indonesian version of the insomnia severity index (ISI-INA), generalized anxiety disorder questionnaire (IGAD-7), and patient health questionnaire (IPHQ-9) were used. A receiver operating characteristic (ROC) analysis was conducted to calculate the optimal cutoff score of the ISCI on the basis of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) diagnostic criteria for insomnia. RESULTS: A total of 160 adults with a diagnosis of stroke for more than 3 months were included (median age of 58.5 years, 31% met the DSM-5 criteria for insomnia). The ISCI had a satisfactory Cronbach's alpha of 0.89 and test-retest reliability of 0.78. The CFA revealed that the ISCI exhibited a satisfactory model fit and was associated with the ISI-INA, IGAD-7, and IPHQ-9 (r = -0.81, -0.32, and -0.52, respectively; all P < .001). The ROC test revealed that the optimal cutoff point of ≤23 yielded the highest sensitivity (94%) and specificity (97%). CONCLUSION: The study results revealed that the 8-item ISCI is a reliable and valid screening tool for detecting insomnia symptoms according to the DSM-5 criteria in the chronic period after stroke.

Post-Stroke Insomnia Increased the Risk of Cognitive Impairments: A Hospital-Based Retrospective Cohort Study.

OBJECTIVES/BACKGROUND: Insomnia is a common sleep complaint among patients who had a stroke and has been recognized as an independent risk factor for cognitive impairment. However, the relationship between poststroke insomnia and cognitive impairment over time is under-researched. Therefore, we examined the association between poststroke insomnia and the risk of cognitive impairment. PARTICIPANTS: Stroke participants who had a stroke and were 20 years and older. METHODS: This multicenter hospital-based retrospective cohort study with a 13-year follow-up period (2004-2017). The diagnosis of stroke, insomnia, and cognitive impairment was based on the International Classification of Diseases. The study participants who experienced a stroke were divided into two cohorts: those who also had insomnia and those who did not have insomnia. A Cox proportional-hazards regression model was used. RESULTS: A total of 1,775 patients with a mean age of 67.6 years were included. Of these patients, 146 and 75 patients were diagnosed with insomnia and cognitive impairment during the follow-up period, respectively. The cumulative incidence of cognitive impairment in the stroke with insomnia cohort was significantly lower than that in the stroke without insomnia cohort (log-rank test, P < .001). The adjusted hazard ratio and 95% confidence interval (CI) of the stroke with insomnia cohort indicated a higher risk of cognitive impairment compared with the stroke without insomnia cohort (adjusted hazard ratio: 2.38; 95% CI: 1.41-4.03). CONCLUSIONS: Patients who had a stroke and were diagnosed with insomnia exhibited a substantial increased risk of cognitive impairment over time.

Prevalence and risk factors of fatigue in type 1 and type 2 diabetes: A systematic review and meta-analysis.

PURPOSE: This meta-analysis was conducted to determine the prevalence and risk factors of fatigue in type 1 and type 2 diabetes mellitus (DM). METHODS: Observational studies reporting the prevalence and risk factors of fatigue in type 1 or 2 DM were systematically searched for in PubMed, Embase, CINAHL Plus, Cochrane Trial, and ProQuest Dissertation and Theses databases. Data were extracted by two independent reviewers. A random-effect model was used for data analysis. FINDINGS: We included 19 studies involving 7131 patients with type 1 DM and 32 studies involving 34,994 patients with type 2 DM in the study. The pooled prevalence of fatigue in type 1 and type 2 DM was 44% and 50%, respectively. The Asia-Pacific region (e.g., Japan and Australia), South America, and Africa lacked reports regarding fatigue prevalence in type 1 DM, and North Asia and Southeast Asia lacked reports of fatigue prevalence in type 2 DM. Depression and physical activity were the only two variables significantly correlated with fatigue in both type 1 and type 2 DM (all p < 0.05). CONCLUSIONS: Approximately half of the patients with type 1 or type 2 DM experienced fatigue, with the prevalence of 44% and 50%, respectively. Our findings regarding its risk factors can provide an evidence-based approach for managing fatigue in DM patients. CLINICAL RELEVANCE: This meta-analysis emphasizes the importance of fatigue management in patients with type 1 and type 2 DM. Most significantly, our results on risk factors related to fatigue in diabetes can contribute to the development of evidence-based strategies for managing fatigue in individuals with DM.

Dynamic Prevalence of Sleep Disorders Following Stroke or Transient Ischemic Attack: Systematic Review and Meta-Analysis.

BACKGROUND AND PURPOSE: The exact prevalence of sleep disorders following stroke or transient ischemic attack (TIA) remains unclear. We aimed to determine the prevalence of sleep-disordered breathing, insomnia, periodic leg movement during sleep, and restless leg syndrome following stroke or TIA in acute, subacute, and chronic phases and examine the moderating effects of patient characteristics (eg, age) and methodological features (eg, study quality) on the prevalence. METHODS: We performed a systematic review and meta-analysis. Embase and PubMed were searched from inception to December 18, 2019. We included 64 047 adults in 169 studies (prospective, retrospective, case-control, and cross-sectional study designs) reporting the prevalence of sleep disorders following stroke or TIA. RESULTS: In the acute phase, the overall prevalence of mild, moderate, and severe sleep-disordered breathing was 66.8%, 50.3%, and 31.6% (95% CIs, 63.8-69.7, 41.9-58.7, and 24.9-39.1). In the subacute phase, the prevalence of mild, moderate, and severe sleep-disordered breathing was 65.5%, 44.3%, and 36.1% (95% CIs, 58.9-71.5, 36.1-52.8, and 22.2-52.8). In the chronic phase, the summary prevalence of mild, moderate, and severe sleep-disordered breathing was 66.2%, 33.1%, and 25.1% (95% CIs, 58.6-73.1, 24.8-42.6, and 10.9-47.6). The prevalence rates of insomnia in the acute, subacute, and chronic phases were 40.7%, 42.6%, and 35.9% (95% CIs, 31.8-50.3, 31.7-54.1, and 28.6-44.0). The pooled prevalence of periodic leg movement during sleep in the acute, subacute, and chronic phases was 32.0%, 27.3%, and 48.2% (95% CIs, 7.4-73.5, 11.6-51.7, and 33.1-63.5). The summary prevalence of restless leg syndrome in the acute and chronic phases was 10.4% and 13.7% (95 CIs, 6.4-16.4 and 2.3-51.8). Age, sex, comorbidities, smoking history, and study region had significant moderating effects on the prevalence of sleep disorders. CONCLUSIONS: Sleep disorders following stroke or TIA are highly prevalent over time. Our findings indicate the importance of early screening and treating sleep disorders following stroke or TIA.

Effectiveness of Family-Based Diabetes Management Intervention on Glycated Haemoglobin Among Adults With Type 2 Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

BACKGROUND: Glycated hemoglobin (HbA1c) control is a crucial goal in the management of type 2 diabetes mellitus (T2DM), requiring lifelong commitment and family support. This study aimed to assess the effectiveness of family-based diabetes management intervention on HbA1c among adults with T2DM. METHODS: From inception up to 2022, a comprehensive literature search was conducted across PubMed, ProQuest, Scopus, CORE, and the Cochrane Library. The quality of studies was evaluated using the Joanna Briggs Institute (JBI) Critical Appraisal tools. Effect sizes were calculated using standard deviations (SD), while the degree of heterogeneity was evaluated using the Higgins I2 test. Subgroup analyses were performed to explore factors contributing to sources of heterogeneity among trials. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) were followed, and the protocol was registered with PROSPERO CRD42022384034. RESULTS: A total of 18 randomized controlled trials (RCTs) involving 2815 participants indicated that family-based diabetes management intervention had a statistically significant impact on improving HbA1c (Mean Difference [MD] = -.47; 95% Confidence Interval [CI]: -.64 to -.30, p < .001) with a moderate level of heterogeneity (I2 = 59%). Subgroup analysis indicated that family-based diabetes management intervention among adults with T2DM in developing regions was more effective in improving HbA1c levels compared to developed countries. CONCLUSION: Family-based diabetes management interventions improved HbA1c. Further research is required to develop diabetes management strategies with a family focus that clearly defines the family's involvement.

The mediating effect of sleep disturbance on the association between hypertension and depression: a national data analysis.

BACKGROUND: Sleep disturbance is a common among people with hypertension. However, the mediating role of sleep disturbance in the association between hypertension and depression remains unclear. This study aims to investigate the mediating role of sleep disturbance in the association between hypertension and depression. MATERIALS AND METHODS: This was cross-sectional study. The data were derived from the Indonesian Family Life Survey Fifth Wave (2014-2015). We include a total of 19,138 adults' participants with age range from 18 to 65 years old who completed response on the variable of hypertension, sleep disturbance, and depression. The mediating model analysis was processed using the PROCESS macro ins SPSS from Hayes model. RESULTS: Depression was reported by 22% of total respondents. The group with hypertension showed a substantially higher prevalence of depression than non-hypertension group (P < 0.001). Hypertension had a significant overall effect on depression (ß = 0.682; 95%CI 0.489 to 0.875, P < 0.001). The direct effect of hypertension on depression was significant (ß = 0.418; 95%CI 0.244 to 0.592, P < 0.001) and the indirect effect that mediated by sleep disturbance was also significant (ß = 0.264, 95%CI 0.174 to 0.356, P < 0.001). It is worth noting that sleep disturbance partially mediated the association between hypertension and depression. CONCLUSION: The findings of this study indicated that sleep disturbance contributed to the etiology of depression and hypertension in adult populations. Nurses should be involved in managing sleep disturbances, such as using behavioral therapy, as it may serve as both a treatment and primary prevention measure for depression and hypertension.

Effectiveness of Acupressure for Fatigue Alleviation in Patients Receiving Hemodialysis: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

BACKGROUND: Fatigue, a major health concern among patients receiving hemodialysis, is associated with poor quality of life, negative emotions, and cognitive dysfunction. Acupressure is a low-cost and noninvasive traditional Chinese therapy that has been widely used in community and clinic settings. However, the beneficial effects of acupressure on various aspects of fatigue among these patients have not been systematically investigated. PURPOSE: This study was designed to determine the effects of acupressure on fatigue in patients receiving hemodialysis. The moderating influences of bio-sociodemographic characteristics and methodology on the association between acupressure and posthemodialysis fatigue were also examined. METHODS: Four electronic databases were searched for qualified articles published between database inception and November 2, 2022. Only randomized controlled trials designed to investigate the effects of acupressure on fatigue in patients receiving hemodialysis were qualified for consideration. A random-effects model was used for data analysis. RESULTS: Eight randomized controlled trials with 11 effect sizes and 725 participants were included in this study. In these studies, acupressure was found to have a significantly higher alleviation effect on general fatigue (g = -0.78; 95% confidence interval [-1.09, -0.48]) and the behavioral, emotional, sensory, and cognitive domains of fatigue (g = -0.51, -0.51, -0.72, and -0.41, respectively) among patients receiving hemodialysis than those in the control groups. Furthermore, the stimulation of the Shenmen acupoint was found to increase the effects (p < .01) of acupressure on fatigue reduction significantly. Notably, the use of special equipment to perform the acupressure was not found to significantly improve outcomes (p = .99). CONCLUSIONS/IMPLICATIONS FOR PRACTICE: Acupressure is effective in alleviating fatigue in patients receiving hemodialysis, particularly when the Shenmen acupoint is used together with other acupoints, and is effective without the application of special equipment. Acupressure may be adopted as a complementary therapy for fatigue alleviation in patients receiving hemodialysis. Based on the findings, healthcare providers should coach patients receiving hemodialysis with fatigue on how to use acupressure therapy appropriately to alleviate this health concern.

Prevalence of dental caries among children in Indonesia: A systematic review and meta-analysis of observational studies.

Objective: The prevalence of dental caries among children in Indonesia remains unclear. Therefore, we aimed to provide an updated assessment of this prevalence while also investigating the influence of patient characteristics and methodological factors. Design: We performed a systematic review and meta-analysis, including searches of PubMed, Cochrane Library, and Embase from inception to August 24, 2023. We included 8840 participants in 27 studies reporting the prevalence of dental caries among Indonesian children. Results: The overall prevalence of dental caries was 76 % (95 % confidence interval: 71%-81 %). Studies in which decay-missing-filled teeth (DMFT) criteria were used to diagnose dental caries were significantly more prevalent than studies using non-DMFT criteria (78 % vs. 64 %, P < 0.05). No significant moderators were identified for the study subgroup based on study origin (Jakarta vs. non-Jakarta) or comorbidity status (comorbidity vs. no comorbidity). Owing to incomplete reporting of variables, metaregression analysis could not be conducted for continuous variables, such as age and male percentage. Conclusions: The prevalence of dental caries among Indonesian children remains notably high, showing consistency across Jakarta-based studies and non-Jakarta studies. Initiating dental caries prevention and health promotion campaigns is imperative, focusing on the critical importance of early detection.

Effects of Chlorhexidine and Povidone-Iodine on the SARS-CoV-2 Load: A Systematic Review and Meta-analysis.

The efficacy of mouthwash for reducing the viral load in patients with the novel coronavirus disease 2019 (COVID-19) remains unclear. This systematic review and meta-analysis comprehensively examined the effects of chlorhexidine (CHX) and povidone-iodine (PVP-I) on the viral load in patients with COVID-19. We performed methodological analysis, systematic review, and meta-analysis of included studies using the Comprehensive Meta-analysis Software. PubMed, EMBASE, Cochrane Library, and ProQuest were searched from December 1, 2019, to December 2, 2021. In total, we included 10 studies of 1,339 patients with COVID-19. Compared with the control group, both CHX and PVP-I significantly reduced the number of negative reverse-transcription polymerase chain reaction (RT-PCR) results (p<0.001) among COVID-19 patients. The CHX and PVP-I were effective on reducing the number of negative RT-PCR results in COVID-19 patients. Additional studies using adequate randomization methods and larger samples are warned.

Symptoms trend and challenges in dental practice during delta variance COVID-19 pandemic in Indonesia: Google Trends Analysis.

Background: The COVID-19 pandemic has grown to be a serious issue on a global scale. Dental care is one of the industries affected by COVID-19. The surveillance utilizing lifetime data, however, is still not clear. The purpose of this study was to use Google Trends (GT) analysis to examine symptom trends and challenges during the COVID-19 outbreak in Indonesia. Methods: Covid-19 cases retrieve from Our World in Data. The cases were collected between 1 April 2021-30 September 2021. The GT was used to discover Indonesian relative search volume (RSVs) covering the timeframe of the first outbreak covid-19 pandemic in Indonesia on 1 March 2020 until 13 February 2022. The duration of the search was chosen to reflect the relative popularity of the keywords "symptoms and dentistry practice challenge-related terms" and "coronavirus". Results: We observed that there was a significant and positive correlation between the COVID-19 daily case using GT RSV data and the COVID-19 case from Our World in Data. The COVID-19 daily case had a strong correlation with search terms related to symptoms (such as fever, sore throat, flu, toothache, and cough), drugs (such as ibuprofen, paracetamol, demacolin, bodrex, and antibiotic), and health management (such as self-isolation and telemedicine). Conclusion: Using GT may be helpful to observe the current symptoms trends as well as its challenge tendencies as a surveillance tool for a continuing pandemic like COVID-19. GT should be considered and used as it has the potential to be a powerful digital epidemiology tool that can provide more insight into disease dynamics.

Exercise regimens for improved sleep quality in adult breast cancer survivors: systematic review and network meta-analysis.

OBJECTIVE: The relative efficacy of exercise regimens for improving sleep quality in adult breast cancer survivors remains unknown. This network meta-analysis aimed to compare the efficacy of various exercise regimens for improving sleep quality in adult breast cancer survivors. METHODS: This study searched four electronic databases for relevant literature from inception to 18 July 2023. Randomised controlled trials reporting the effects of exercise on sleep quality in adults with breast cancer were included. A random-effects network meta-analysis based on the frequentist framework was performed. RESULTS: In total, 35 trials including 3374 breast cancer survivors were included. Compared with usual care, endurance training combined with resistance training significantly improved sleep quality (standardised mean differences (SMDs) = -0.97; 95% CI = -1.50 to -0.43; certainty of evidence=moderate) (p<0.05). Endurance training combined with resistance training (SMDs: -1.42; 95% CIs: -2.31 to -0.53; moderate) achieved superior sleep quality results compared with stretching exercises (p<0.05). The surface under the cumulative ranking curve analysis indicated that endurance training combined with resistance training was ranked as the top effective treatment among other exercise regimens for improving sleep quality in breast cancer survivors (71%). CONCLUSIONS: Endurance training combined with resistance training is effective in improving sleep quality in adult breast cancer survivors. Our results provide evidence that exercise can improve sleep quality in adult breast cancer survivors.

Comparative efficacy of exercise regimens on sleep quality in older adults: A systematic review and network meta-analysis.

The efficacies of various exercise modalities in improving older adults' sleep quality remain unclear. Therefore, in this study, network meta-analysis was performed by comparing the efficacies of various exercise regimens in improving sleep quality in this age group. Six electronic databases were searched for relevant studies between the date of database creation and August 13, 2021. Only randomized controlled trials reporting the effects of exercise on sleep quality in this population were included. Random-effects network meta-analysis based on a frequentist framework was conducted. In total, 35 trials involving 3519 older adults were included. Cognitive behavioral therapy for insomnia, muscle endurance training combined with walking, Tai chi, Baduanjin, resistance training combined with walking, and resistance training significantly improved sleep quality to a greater degree than did usual care (P < 0.05). Muscle endurance training combined with walking led to significantly higher sleep quality than did regimens involving sleep hygiene, Pilates, only walking, health education, resistance training, Taichi, resistance training combined with walking, or yoga. Muscle endurance training combined with walking was identified as the optimal exercise program (88.9%) for enhancing sleep quality in older adults. The results of this study support the claim that exercise can improve sleep quality in this population. PROSPERO registration number: CRD42020178209.

Nursing care recommendation for pediatric COVID-19 patients in the hospital setting: A brief scoping review.

BACKGROUND: The hospitalization of children during the COVID-19 pandemic has affected their physical and mental health. Pediatric nurses have faced challenges in providing high-quality nursing care for children and their families. However, the pediatric nursing care recommendations for COVID-19 patients in the hospital setting remain unclear. The current scoping review provides recommendations for nursing interventions for pediatric COVID-19 patients in the hospital setting. METHODS AND FINDINGS: The selected articles containing management and nursing recommendations for COVID-19 that have occurred in pediatric patients ages 0-19 years old. A search strategy was developed and implemented in seven databases. We included peer-reviewed articles that reported observational or interventional studies, as well as policy papers, guides or guidelines, letters and editorials, and web articles. A total of 134 articles and other documents relevant to this review were included. We categorized the results based on The Nursing Intervention Classification (NIC) taxonomy which consists of six domains (e.g., Physiological: Basic); eleven classes (e.g., Nutrition Support); and eighteen intervention themes (e.g., Positioning, Family Presence Facilitation, Family Support, and Discharge Planning). CONCLUSION: Apart from the intervention of physical problems, there is a need to promote patient- and family-centered care, play therapy, and discharge planning to help children and families cope with their new situation.

Fatigue following type 2 diabetes: Psychometric testing of the Indonesian version of the multidimensional fatigue Inventory-20 and unmet fatigue-related needs.

Patients with type 2 diabetes mellitus (T2DM) often experience fatigue. The Multidimensional Fatigue Inventory (MFI-20) is a valid tool for evaluating fatigue; however, its psychometric properties have not been examined in Indonesian-speaking patients with T2DM. This study assessed the psychometric properties of the Indonesian version of the Multidimensional Fatigue Inventory-20 (IMFI-20) in patients with T2DM and investigated fatigue in a health-care setting. A cross-sectional design was adopted. Two hundred patients with T2DM were interviewed in clinics. Five self-structured measures were used to assess the frequency and duration of fatigue and the health-care utilization of patients with fatigue. Cronbach's alpha and intraclass correlation (ICC) were used to evaluate the internal consistency and test-retest reliability of the Indonesian version of the MFI-20 (IMFI-20). The criterion, convergent, and known-group validity of the IMFI-20 were also examined, and its underlying structure was determined using explanatory factor analysis. The STROBE checklist was used. The results revealed that approximately half of the patients experienced fatigue. Among those with fatigue, 62% reported that their fatigue was rarely or never treated by their physicians. The IMFI-20 exhibited satisfactory model fit, excellent internal consistency (Cronbach's alpha of 0.92), and test-retest ICC of 0.93. The IMFI-20 was significantly associated with the Functional Assessment of Chronic Illness Therapy-Fatigue, Beck Depression Inventory-Second Edition, and Pittsburgh Sleep Quality Index (r = 0.705, 0.670, and 0.581, respectively). The IMFI-20 exhibited known-group validity for unfavorable sleep quality and HbA1C ≥ 6.5%. Our findings suggest that patients with T2DM who experience fatigue are often overlooked by health-care providers, and that the IMFI-20, which exhibits excellent psychometric properties, can be adopted by studies that use fatigue as an endpoint in Indonesian-speaking populations.