暂无摘要。

BACKGROUND: Prolonged grief disorder (PGD), a condition characterized by severe, persistent, and disabling grief, is newly included in ICD-11 and DSM-5-TR. Psychotherapies are among the most recommended treatments for PGD, but which should be considered as first-line treatment needs to be clarified. The purpose of this systematic review and network meta-analysis was to synthesize the available evidence to compare five outcomes of different psychotherapies on PGD in adults and identify the optimal psychotherapy modality to inform clinical decision-making for the treatment of PGD.
METHODS: A comprehensive search was conducted in 7 databases from inception until March 20th, 2023. In the frequentist framework, pairwise and network meta-analyses using random-effects models were performed for outcomes with 95 % confidence interval (CI).
RESULTS: There were 2962 records found and 55 studies (1,0330 participants) assessing 11 different psychological interventions were included. Compared with the waiting list, behavioral therapy (SMD=-1.05; 95 %CI=-1.71, -0.38), third-wave cognitive behavior therapy (SMD=-1.00; 95 %CI =-1.41, -0.58), family therapy (SMD=-0.87; 95 %CI=-1.59, -0.16), psychodynamic therapy (SMD=-0.88; 95 %CI=-1.67, -0.10) and cognitive therapy (SMD=-0.84; 95 %CI=-1.57, -0.12) were statistically effective in reducing grief symptom. Only cognitive behavior therapy (OR =0.48; 95 %CI = 0.27, 0.85) was more acceptable than waiting list. In terms of secondary outcome, third-wave CBT can statistically significantly reduce depression (SMD= -0.60; 95 %CI =- 0.84, -0.36), PTSD (SMD=-0.99; 95 %CI =- 1.62, -0.36) and anxiety (SMD= -1.44; 95 %CI =-2.63, -0.25) respectively.
CONCLUSIONS: Most psychological interventions are effective, but only cognitive behavior therapy has the highest acceptability. Third-wave CBT with higher efficacy rates may be more beneficial for reducing secondary outcomes. To provide more robust evidence, high-quality trials should be conducted in the future.

OBJECTIVE: China\'s rapid urbanization has been associated with increased mental health challenges, especially in rural-to-urban migrant children. This study evaluates the effects of mindfulness and life-skills (LS) training on emotional regulation and anxiety symptoms from a randomized controlled trial aimed at improving the mental health of Chinese migrant children.
METHODS: Two intervention arms-mindfulness training (MT) and MT plus LS mentorship (MT + LS)-were compared to a waitlist control group of 368 migrant children aged 9-17 years. Volunteers were trained to deliver interventions to 285 migrant children in small groups of 15 for eight weeks weekly. Social integration varied: migrant children mixed with local children at public schools were considered highly integrated, those in migrant-only classrooms at public schools had intermediate levels of integration, and children in private migrant schools had low integration. Emotion regulation and anxiety symptoms were assessed preintervention, postintervention, and three months postintervention.
RESULTS: Postintervention and compared to the control group, children with high social integration in the MT arm showed increased cognitive reappraisal ability (p < .05) but higher physical anxiety (p < .01). Children with high social integration in the MT + LS arm had lower anxiety symptoms of harm avoidance (p < .01) and physical anxiety (p < .05). Children with low social integration in the MT + LS arm showed lower cognitive reappraisal (p < .01) and poorer overall emotion regulation abilities (p < .01). Three months later, children with intermediate integration in the MT + LS arm had lower separation anxiety (p < .05) and harm avoidance anxiety (p < .05). No other groups showed significant improvements in emotion regulation or reducing in anxiety symptoms three months postintervention.
CONCLUSIONS: Mindfulness and LS training may benefit Chinese migrant children who have higher levels of social integration but increase anxiety in those with lower social integration. Future research should consider the sociocultural context in which a treatment is implemented.

OBJECTIVE: This study aimed to find the optimal intervention available to both control blood glucose and improve physical function in the geriatric population with T2DM.
METHODS: A systemic review and network meta-analysis (NMA) was conducted to assess and rank the comparative efficacy of different interventions on glycosylated hemoglobin A1c (HbAc1), fasting blood glucose (FBG), muscle mass, grip strength, gait speed, lower body muscle strength, and dynamic balance. A total of eight databases were searched for eligible randomized controlled trials (RCTs) that the elderly aged more than 60 years or with mean age ≥ 55 years, the minimal duration of the RCT intervention was 6 weeks, and those lacking data about glycemic level and at least one indicator of physical performance were excluded. The Cochrane risk of bias tool was used to assess the bias of each study included. Bayesian NMA was performed as the main results, the Bayesian meta regression and the frequentist NMA as sensitivity analysis.
RESULTS: Of the 2266 literature retrieved, 27 RCTs with a total of 2289 older adults were included. Health management provided by health workers exerts beneficial effects that is superior to other interventions at achieving glycemic control, but less marked improvement in physical performance. Exercise combined with cognitive training showed more pronounced improvement in muscle strength, gait speed, and dynamic balance, but ranked behind in decreasing the HbAc1 and FBG.
CONCLUSIONS: Personalized health management combined with physical and cognitive training might be the optimal intervention to both accomplish glycemic control and improvement of physical performance. Further RCTs are needed to validate and assess the confidence of our results from this NMA.

This review identifies which elements of home-based comprehensive sexual health care (home-based CSH) impacted which key populations, under which circumstances. A realist review of studies focused on home-based CSH with at least self-sampling or self-testing HIV and additional sexual health care (e.g., treatment, counseling). Peer-reviewed quantitative and qualitative literature from PubMed, Embase, Cochrane Register of Controlled Trials, and PsycINFO published between February 2012 and February 2023 was examined. The PRISM framework was used to systematically assess the reach of key populations, effectiveness of the intervention, and effects on the adoption, implementation, and maintenance within routine sexual health care. Of 730 uniquely identified records, 93 were selected for extraction. Of these studies, 60% reported actual interventions and 40% described the acceptability and feasibility. Studies were mainly based in Europe or North America and were mostly targeted to MSM (59%; 55/93) (R). Overall, self-sampling or self-testing was highly acceptable across key populations. The effectiveness of most studies was (expected) increased HIV testing. Adoption of the home-based CSH was acceptable for care providers if linkage to care was available, even though a minority of studies reported adoption by care providers and implementation fidelity of the intervention. Most studies suggested maintenance of home-based CSH complementary to clinic-based care. Context and mechanisms were identified which may enhance implementation and maintenance of home-based CSH. When providing the individual with a choice of testing, clear instructions, and tailored dissemination successful uptake of STI and HIV testing may increase. For implementers perceived care and treatment benefits for clients may increase their willingness to implement home-based CSH. Therefore, home-based CSH may determine more accessible sexual health care and increased uptake of STI and HIV testing among key populations.

Obesity and obesity-related metabolic disorders are global epidemics that occur when there is chronic energy intake exceeding energy expenditure. Growing evidence suggests that healthy dietary patterns not only decrease the risk of obesity but also influence the composition and function of the gut microbiota. Numerous studies manifest that the development of obesity is associated with gut microbiota. One promising supplementation strategy is modulating gut microbiota composition by dietary patterns to combat obesity. In this review, we discuss the changes of gut microbiota in obesity and obesity-related metabolic disorders, with a particular emphasis on the impact of dietary components on gut microbiota and how common food patterns can intervene in gut microbiota to prevent obesity. While there is promise in intervening with the gut microbiota to combat obesity through the regulation of dietary patterns, numerous key questions remain unanswered. In this review, we critically review the associations between dietary patterns, gut microbes, and obesity, aiming to contribute to the further development and application of dietary patterns against obesity in humans.

BACKGROUND: Perinatal depression is a global public health problem that seriously affects the health of perinatal women. This study evaluated the pooled uptake rate of interventions among women who screened positive for perinatal depression to provide a basis for clinical intervention.
METHODS: We systematically searched four databases (PubMed, Embase, Cochrane Library and Web of Science) from the establishment of the database to May 1, 2023. All included studies were used to derive the pooled uptake rate. We also performed meta-regression and subgroup analysis to explore the potential sources of heterogeneity using STATA 17.0.
RESULTS: Of 15024 retrieved articles, only 41 met the inclusion criteria. The overall uptake rate was 55 % (95 % CI 43-67 %). Meta-regression and subgroup analyses both showed that the uptake rate in high-income countries 57 % (95 % CI 50-65 %) was higher than that in low and middle-income countries 37 % (95 % CI 18-56 %).
CONCLUSIONS: First, only English publications were included. Therefore, articles in other languages were likely missed. Second, of the 41 studies included, there were only six randomized controlled trials, with limited quality of evidence. Third, we could not adequately explain the source of heterogeneity because there were too many mediating variables, although further subgroup and sensitivity analysis were performed.
CONCLUSIONS: About a half of women did not receive interventions after screening positive, and the uptake rate of interventions in high-income countries was higher than that in low and middle-income countries.

BACKGROUND: Children and adolescents, after natural and man-made disasters, often exhibit various psychological, emotional, and behavioral issues, showing a range of clinical symptoms related to post-traumatic stress disorder (PTSD) and depression. This review used a network meta-analysis (NMA) approach to compare and rank psychological interventions for PTSD and depression in children and adolescents after exposure to natural and man-made disasters.
METHODS: Randomized studies of psychosocial interventions for PTSD and depression in children and adolescents exposed to natural and man-made disasters were identified. PTSD and depression symptoms at postintervention and 1-12 month follow-up are the outcomes. The standardized mean differences (SMDs) between pairs of interventions at postintervention and follow-up were pooled. Mean effect sizes with 95% credible intervals (CI) were calculated, and the ranking probabilities for all interventions were estimated using the surface under the cumulative ranking curve. Study quality was assessed with version 2 of the Cochrane risk-of-bias tool for randomized trials (RoB 2).
RESULTS: In total, 26 studies with 4331 participants were included in this NMA. Eye movement desensitization and reprocessing therapy (EMDR) (SMD = - 0.67; 95% CI - 1.17 to - 0.17), exposure therapy (ET) (SMD = - 0.66; 95% CI - 1.11 to - 0.22), and cognitive behavioral therapy (CBT) (SMD = - 0.62; 95% CI - 0.90 to - 0.34) were significantly more effective for PTSD at postintervention than inactive intervention. EMDR (SMD = - 0.72; 95% CI - 1.11 to - 0.33) and ET (SMD = - 0.62; 95% CI - 0.97 to - 0.27) were associated with a higher reduction in PTSD symptoms at follow-up than inactive intervention. EMDR (SMD = - 0.40; 95% CI - 0.78 to - 0.03) and play therapy (PT) (SMD = - 0.37; 95% CI - 0.62 to - 0.12) were significantly more effective for depression at postintervention than inactive intervention. For all psychological interventions in reducing depression symptoms at follow-up compared with inactive intervention, the differences were not significant.
CONCLUSIONS: EMDR appears to be most effective in reducing PTSD and depression in children and adolescents exposed to natural and man-made disasters. In addition, ET and CBT are potentially effective in reducing PTSD symptoms at postintervention, while PT is beneficial in managing depression symptoms at the treatment endpoint.

This systematic review and meta-analysis analyzed and summarized the growing literature on the effectiveness of chatbot-delivered interventions in increasing uptake, intention, and attitudes related to any type of vaccination. We identified randomized controlled studies (RCTs), quasi-experimental studies, and non-experimental studies from the following platforms: PubMed, Web of Science, MEDLINE, Global Health, APA PsycInfo, and EMBASE databases. A total of 12 eligible studies published from 2019 to 2023 were analyzed and summarized. In particular, one RCT showed that a chatbot-delivered tailored intervention was more effective than a chatbot-delivered non-tailored intervention in promoting seasonal influenza vaccine uptake among older adults (50.5% versus 35.3%, p = 0.002). Six RCTs were included in the meta-analysis to evaluate the effectiveness of chatbot interventions to improve vaccination attitudes and intentions. The pooled standard mean difference (SMD) of overall attitude change was 0.34 (95% confidence intervals [CI]: 0.13, 0.55, p = 0.001). We found a non-significant trivial effect of chatbot interventions on improving intentions of vaccination (SMD: 0.11, 95% CI: -0.13, 0.34, p = 0.38). However, further evidence is needed to draw a more precise conclusion. Additionally, study participants reported high satisfaction levels of using the chatbot and were likely to recommend it to others. The development of chatbots is still nascent and rooms for improvement exist.

BACKGROUND: Predicting vaccination behaviors accurately could provide insights for health care professionals to develop targeted interventions.
OBJECTIVE: The aim of this study was to develop predictive models for influenza vaccination behavior among children in China.
METHODS: We obtained data from a prospective observational study in Wuxi, eastern China. The predicted outcome was individual-level vaccine uptake and covariates included sociodemographics of the child and parent, parental vaccine hesitancy, perceptions of convenience to the clinic, satisfaction with clinic services, and willingness to vaccinate. Bayesian networks, logistic regression, least absolute shrinkage and selection operator (LASSO) regression, support vector machine (SVM), naive Bayes (NB), random forest (RF), and decision tree classifiers were used to construct prediction models. Various performance metrics, including area under the receiver operating characteristic curve (AUC), were used to evaluate the predictive performance of the different models. Receiver operating characteristic curves and calibration plots were used to assess model performance.
RESULTS: A total of 2383 participants were included in the study; 83.2% of these children (n=1982) were <5 years old and 6.6% (n=158) had previously received an influenza vaccine. More than half (1356/2383, 56.9%) the parents indicated a willingness to vaccinate their child against influenza. Among the 2383 children, 26.3% (n=627) received influenza vaccination during the 2020-2021 season. Within the training set, the RF model showed the best performance across all metrics. In the validation set, the logistic regression model and NB model had the highest AUC values; the SVM model had the highest precision; the NB model had the highest recall; and the logistic regression model had the highest accuracy, F1 score, and Cohen κ value. The LASSO and logistic regression models were well-calibrated.
CONCLUSIONS: The developed prediction model can be used to quantify the uptake of seasonal influenza vaccination for children in China. The stepwise logistic regression model may be better suited for prediction purposes.