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AIMS: This study aimed to explore the change trend and group heterogeneity of psychosocial adjustment level and to determine its influencing factors among young and middle-aged patients with first-episode acute myocardial infarction (AMI). METHODS AND RESULTS: The Psychosocial Adjustment Scale of Illness was used to assess the psychosocial adjustment level of the patients at 1, 3, and 6 months after discharge, respectively. Data were analyzed using Pearson correlation analysis, generalized estimating equations, and growth mixed models. A total of 233 patients were included, and their psychosocial adjustment scores at the three-time points were 57.18 ± 15.50, 36.17 ± 15.02, and 24.22 ± 12.98, respectively. The trajectories of changes in patients' psychosocial adjustment levels were divided into three latent categories: moderate adjustment improvement group (72.5%), low adjustment improvement group (16.3%), and persistent maladjustment group (11.2%). Among them, predictors of the persistent maladjustment group included no spouse, low monthly family income per capita, normal body mass index, never smoking, never exercising, combined with hyperlipidemia, low social support, submission coping, and high perceived stress. CONCLUSIONS: The psychosocial adjustment level of young and middle-aged patients with first-episode AMI showed an upward trend within 6 months after discharge, and there was group heterogeneity in the change trajectory of psychosocial adjustment level. It is suggested that a multi-center, large-sample longitudinal study should be carried out in the future, and the time of follow-up investigation should be extended to further clarify the change trajectory and influencing factors of psychosocial adjustment of patients with different subtypes, to provide the theoretical basis for formulating targeted intervention programs.
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INTRODUCTION: Telehealth intervention has been proposed as a sustainable and innovative intervention approach to Parkinson's disease (PD) patients, but there are still conflicting results in the literature about its effect. This study aimed to evaluate the efficacy of telehealth intervention for PD patients. METHODS: PubMed, EMBASE, CENTRAL and China National Knowledge Infrastructure (CNKI) were searched from the inception to June 2018 for randomized controlled trials (RCTs) and cohort studies, without language restrictions. When feasible, data were statistically pooled for meta-analysis using Review Manager 5.3. Otherwise, narrative summaries were used. RESULTS: Twenty-one studies were included. With respect to PD severity, compared with usual care, telehealth intervention was beneficial in lowering motor impairment of PD patients significantly (mean difference (MD) = -2.27, 95% confidence interval (95% CI) -4.25 to -0.29, p = 0.02), rather than mental status (MD = -0.98, 95% CI -2.61 to 0.65, p = 0.24), activities of daily living (MD = -1.51, 95% CI -4.91 to 1.89, p = 0.38) and motor complications (MD = -0.36, 95% CI -1.31 to 0.59, p = 0.46). Telehealth intervention did not lead to significant reduction in quality of life (standardized mean difference (SMD) = 0.04, 95% CI -0.20 to 0.28, p = 0.76), depression (SMD = -0.12, 95% CI -0.37 to 0.13, p = 0.34), cognition (MD = 0.37, 95% CI -0.34 to 1.09, p = 0.31) and balance (MD = 0.09, 95% CI -2.49 to 2.66, p = 0.95). DISCUSSION: Telehealth intervention is an effective option for individuals with PD to improve their motor impairment. Further well-designed studies are warranted to confirm our findings.