Abstract
Accumulating evidence has supported the implementation of dance/movement therapy (DMT) as a promising intervention for patients with schizophrenia (SCZ). However, its effect on body weight and metabolic profile in SCZ remains unclear. This study aimed to evaluate the outcome of a 12-week DMT session on weight and lipid profile in patients with SCZ using a randomized, single-blinded, controlled trial design. This study encompassed two groups of long-term hospitalized patients with SCZ, who were randomly assigned to the DMT intervention (n = 30) or the treatment as usual (TAU) group (n = 30). Metabolic markers, including weight, body mass index (BMI), fasting glucose, triglycerides, and total cholesterol were measured in both groups at two measurement points (at baseline and the end of the 12-week treatment). We found that DMT intervention significantly decreased body weight (F = 5.5, p = 0.02) and BMI (F = 5.7, p = 0.02) as compared to the TAU group. However, no significance was observed in other metabolic markers, including fasting glucose, triglycerides, and total cholesterol after treatment (all p > 0.05). Our study indicates that a 12-week, 24-session DMT program may be effective in decreasing body weight and BMI in long-term hospitalized patients with SCZ. DMT intervention may be a promising treatment strategy for long-term inpatients in the psychiatric department.
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Introduction
Atypical antipsychotics are commonly used to reduce and control psychiatric symptoms of schizophrenia (SCZ)1,2. However, they are often associated with metabolic side effects, such as weight gain, glucose dysregulation, and altered cholesterol and triglyceride metabolism3,4,5, and may lead to treatment discontinuation and recurrent relapses6,7. Prolactin increase is another common side effect in antipsychotic treatment of SCZ, with a high occurrence of 40–70% in patients8. It is reported that premature mortality rates are usually higher in patients suffering from SCZ relative to the general population9.
Previous meta-analyses have reported an increased prevalence of metabolic dysfunctions in patients with SCZ than that in the general population10,11,12,13, due to risk factors for metabolic abnormality including common genetic pathway, reduced physical activity, unhealthy lifestyles, sex hormones, and increased levels of stress, as well as SCZ itself14,15. Despite the global inconsistency among studies, marked variations in glucose, cholesterol, or triglyceride levels have been found in SCZ13,16. It is now accepted that glucose and lipid metabolism is impaired in patients with SCZ at the onset of disorders and before antipsychotic prescription and that some antipsychotics may worsen metabolic homeostasis in an already susceptible patient population within several weeks17,18. In the general population, a one-kilogram increase in body weight corresponds to a 3.1% increase in the risk of cardiovascular disease, and an 8.4% increase in the risk of type 2 diabetes19,20. Each mmol/L increase in triglyceride levels is associated with an increase in the risk of cardiovascular disease by 32–76%21.
Prolactin is a pleiotropic hormone described to be related to metabolic homeostasis, inflammatory response, and human behaviors22. Its specific receptors are present in abdominal fat. Prolactin impacts metabolic homeostasis by regulating critical enzymes and transporters related to glucose and lipid metabolism in several target organs23. Abnormalities of its different pathways have been associated with abnormal cellular proliferation and diabetes24.
Given that metabolic abnormalities are related to an increased risk for cardiovascular disease and that patients suffering from SCZ are increasingly predisposed to the development of metabolic dysfunction, it is therefore essential to develop and implement strategies to tackle this issue in this specific patient population. Various behavioral and pharmacological interventions have been developed to manage the conditions associated with metabolic abnormalities in SCZ. For example, the Dance for Veterans program aims to synergistically integrate physical components (breathing, stretching, dancing), psychological components (relaxation, creativity) and social components (group games, presenting self-developed movements to the class, synchronized movement) into a standardized and scalable program has been conducted in veterans with psychiatric disorders25. Another therapeutic lifestyle change (TLC) practice intervention program has also been reported to be associated with greater quality of life, more weight loss and improvements in clinical symptoms in veterans with severe mental disorders26. Dance/movement therapy (DMT) is an emerging therapeutic approach for improving health and well-being in the rehabilitation of patients with SCZ27,28,29. As defined by the American Dance Therapy Association, DMT therapy is the psychotherapeutic use of movement to improve well-being, mood, and quality of life30,31,32. It can be applied to individuals of all ages and is effective for individuals who experience psychological dysfunctions28. Additionally, DMT interventions are considered to be a very attractive and comprehensive form of exercise intervention for patients with SCZ, considering that they can regulate the biological, psychological and social needs of trainees. There is evidence that a single-DMT intervention may reduce depressive and anxiety symptoms in inpatients in psychiatric hospitals33. In particular, multiple DMT sessions for individuals with SCZ have revealed a reduction in negative symptoms, depression and anxiety and an increase in emotional expressivity34,35. Several meta-analyses also showed that DMT decreases depression and anxiety and increases quality of life and interpersonal and cognitive skills36,37. Our previous study has reported the efficacy of DMT on balance ability and bone mineral density in patients with SCZ38. However, to our best knowledge, the efficacy of multiple DMT interventions for metabolic dysfunction in long-term hospitalized veterans with SCZ has not been fully studied.
Therefore, in this study, we hypothesized that the multiple DMT interventions were effective in alleviating the metabolic dysfunction in long-term hospitalized patients with SCZ as compared to the treatment as usual. To test the hypothesis, our study would address these questions: 1) whether DMT intervention can significantly change body weight and BMI; 2) whether DMT reduced the levels of metabolic parameters in patients; and 3) whether DMT for 3 months significantly decreased the prolactin levels.
Methods
Patients
We performed a post hoc analysis of data from our previously published clinical study38. The current post hoc analyses were based on the data at baseline and at 12-week follow-up. A total of 80 hospitalized veterans with SCZ were recruited from Hebei Province Veterans Hospital in the present study. Then, eligibility screening was conducted by an experienced psychiatrist according to inclusion/exclusion criteria. The inclusion criteria included: 1) a diagnosis of SZ using the DSM-V; 2) male veterans, aged 40 to 60 years old; 3) able to understand Mandarin Chinese; 4) legally eligible to sign an informed consent form; and 6) no comorbid serious physical illness and able to cooperate with nurses to complete the activity training. The exclusion included: 1) substance dependence or abuse; 2) lower limb injury and motor dysfunction, and inability to complete DMT intervention for various reasons. These situations are often associated with the inability to complete the therapy and dropout, and could thus lead to unequal sample sizes and biased results, and threaten the validity of the results.
The study protocol was approved by the institutional review board of Hebei Province Veterans Hospital. Written informed consent was obtained from all participants. The work on patients was carried out in accordance with The Code of Ethics of the World Medical Association (Declaration of Helsinki).
Out of the 80 patients, 20 were excluded and 60 were randomly allocated to either the treatment as usual (TAU) group or the DMT plus TAU group (DMT). Two participants (1 in the TAU group and 1 in the DMT group) dropped out in the first week of treatment. Finally, 58 patients (29 patients in each group) were included in the statistical analyses. See Supplementary Fig. 1 for the recruitment and enrollment flowchart.
Design
This was a randomized, single-blinded, controlled trial. The detailed randomization and blinding procedures were described in the Supplementary file. Eligible patients were randomly allocated (1:1) to receive either DMT intervention or TAU based on a computer-generated sequence. Raters and investigators remained blinded during the intervention.
The primary outcomes were evaluated by using a two-arm parallel group design between the TAU and DMT groups. One group member in each group was the dance movement therapist, whereas the other group members were hospitalized veterans with SCZ who chose to participate in this study.
Interventions
A dance movement therapist who had working experience for more than 10 years in DMT intervention offered DMT for patients. Twice weekly hour-long sessions were offered over three months with a total of 24 sessions. The DMT intervention protocol was described in the Supplementary file. In brief, the therapist used a body-based approach that included movement warm-ups followed by improvisational dance and interpersonal relationships building through shared movement experiences.
The patients in the TAU group were also divided into two groups and treated as usual. TAU treatment was provided by a licensed professional and the detailed TAU procedure was described in the Supplementary file.
Primary and secondary outcome measurements
The primary outcome was the body weight. BMI was also calculated by body weight and height a secondary outcome measure. After a 12 h overnight fast, blood samples were taken from all patients at 7:00 am. Routine metabolic biomarkers including levels of serum prolactin and lipid profiles were determined in the hospital laboratory using kits with an automatic biochemistry analyzer AU2700.
Data analysis
Statistical analyses were conducted in SPSS 22.0. All statistical analyses were 2-sided, and the significance threshold was set at p-values lower than 0.05.
Baseline analysis
The last observation carried forward (LOCF) analysis was not performed for patients who dropped out in the first week of treatment in this study. The intention to treat (ITT) analysis was used for the outcome measures. Demographic characteristics, fasting glucose levels and lipid profiles at baseline were compared between the DMT and TAU groups using chi-square tests or analysis of variance (ANOVA).
Pre- and post-test analysis
Repeated measure analysis of variance (RM-ANOVA) was performed to compare the efficacy of DMT on metabolic parameters (the group-by-time interaction effect). There is evidence that type 1 errors can be reduced by using the RM-ANOVA. In the models, time was entered as within-effect, the treatment group was entered as between-effect, and metabolic parameters over time were dependent variables. Then, the separate repeated measure ANOVA (RM-ANOVA) tests were followed up with the tests of individual outcome variables, only if the RM-MANOVA showed a significant effect.
If individual RM-ANOVA revealed a significant interaction effect of group and time, then, the analysis of covariance with baseline value as a covariate was performed to compare the differences between the groups after treatment. If the interaction was not significant, subsequent analysis was not performed. Bonferroni correction was used to correct for multiple comparisons.
Regression analysis
Linear regression analyses were performed to investigate the predictive role of sociodemographic and clinical characteristics and baseline metabolic biomarkers for the improvement in metabolic parameters after DMT treatment. The outcomes were defined as the changes in values between baseline and follow-up.
Results
Baseline comparisons
As shown in Table 1, we found that there were no significant differences in the baseline values between the DMT and TAU groups (all p > 0.05) (Table 1). The two groups were well-matched with respect to demographic characteristics, weight, BMI, prolactin levels, and lipid profiles at baseline. In addition, no significant difference was observed in dose of antipsychotics and disease severity between groups.
No significant associations were observed between the weight or BMI and disease duration, age, fasting glucose, triglycerides, total cholesterol, and prolactin levels (all p > 0.05).
DMT Intervention on BMI and metabolic markers
RM-ANOVA analysis was performed to assess the efficacy of DMT intervention on the primary outcomes, including body weight and BMI. We found a significant interaction between time and treatment group on weight (F = 5.5, p = 0.02) and BMI (F = 5.7, p = 0.02) (Table 2). The average changes from baseline were 0.4 (95% CI: 0.05–0.8) for BMI and weight 1.3 (95% CI: 0.14–2.0). The individual change in weight and BMI from baseline to post is shown in Fig. 1. However, after Bonferroni correction for multiple testing (a significant p-value ≤ 0.05/7), the interaction effects on weight and BMI were not significant, indicating a weak effect.
RM-ANOVA analysis was also used to assess the efficacy of the secondary outcomes, including prolactin, fasting glucose, and lipid profile. We found no significant interaction effects on fasting glucose, prolactin, triglyceride, and total cholesterol levels (all p > 0.05). In addition, no significant main effects of time or group on BMI and other markers of metabolic abnormalities were observed (all p > 0.05).
Potential predictors of treatment response
Multiple linear regression analysis was performed to identify potential predictors of improvement in metabolic biomarkers. Since there was a significant correlation between disease duration and age, therefore, only age was added as a covariate in the models to avoid co-linearity between covariates. The results showed that disease duration of SCZ was a significant predictor for the reductions in body weight (β = −0.23, t = −2.4, p = 0.02, 95% CI: −0.43 to −0.03) and BMI (β = −0.16, t = −2.3, p = 0.03, 95% CI: −0.17 to −0.01) from baseline to week 12 in the DMT group.
Discussion
This study found that after 3 months of treatment, body weight and BMI decreased significantly in hospitalized veterans with SCZ who received the DMT intervention compared to the TAU. In addition, disease duration was a significant predictor for the reductions in body weight and BMI after treatment. However, 3 months of DMT intervention had no effect on the levels of fasting glucose, blood lipids, and prolactin in patients.
Our study showed that 3-month DMT interventions were effective in decreasing anthropometric parameters, such as body weight and BMI in long-term hospitalized male veterans with SCZ. Our findings were in line with previous studies that the implementation of an exercise intervention regimen can result in body weight loss in the general population39,40,41. In particular, the effectiveness of group intervention programs was revealed in a systematic review by Shakeel et al. who proposed the implementation of such programs as an effective and cost-effective way to provide physical and social health benefits to residents of nursing homes42. Another meta-analysis by Jansen et al. supports the potential of group exercise to increase physical activity among nursing home residents43. Our results support that multiple DMT sessions for patients with SCZ in inpatient psychiatric hospitals may be a promising treatment option for metabolic management. In psychiatric hospitals, prolonged hospitalization, reduced outdoor activity exercise and side effects of antipsychotic medication contribute to an increased risk of metabolic abnormality in hospitalized patients with SCZ. However, it is difficult to treat metabolic dysfunction in individuals with SCZ who have been hospitalized for a long period. Music has been reported to be an important tool to support the involvement of older persons in physical exercise in nursing homes and improve their physical fitness44,45,46,47. DMT intervention uses music during physical activity to reduce perceived effort, depression and anxiety and improve mood. Accumulating studies have shown the positive effects of DMT on psychotic symptoms for patients with SCZ31,48. We speculate that this is why DMT leads to BMI and weight reductions, while other exercise treatments do not seem to be effective in patients49. This clinical trial provides evidence for the specific role of DMT interventions in body weight control in long-term hospitalization patients with SCZ. It should be noted that the effect size was small and conclusions should be interpreted with caution. The difference in actual change in BMI and weight (0.4 change in BMI and 1.3 kg change in weight) is very low and appears to be negligible or at the very least not clinically relevant. However, previous studies indeed reported a one-kg increase in weight leading to increased chances of cardiovascular disease and type 2 DM. Our study provides more support for the data showing that relatively nominal weight changes are associated with clinically significant changes in health factors and are clinically relevant to most patients or providers.
However, we found that the 3-month multiple DMT sessions were not effective in reducing the levels of abnormal metabolic biomarkers, such as lipid metabolism and fasting glucose, compared with the TAU group in long-term hospitalized veterans with SCZ. Our findings were consistent with the majority of studies in the general population and in patients that have shown little or no effect on metabolic parameters, such as glucose or lipid profile50,51,52,53. A previous review has shown that in many cases, the changes in glucose and lipid profiles were seen most in those who begin with poor health states, whose baseline health levels are farther from optimal and in most likely to improve54. Indeed, patients in our study were not obese or overweight (average BMI = 21.9/23.6 kg/m²) defined according to the Chinese Working Group on Obesity in China (WGOC) criteria55. On the other hand, our negative findings may be due to the short duration of the DMT intervention or the short post-treatment follow-up of patients. In addition, various confounding factors, such as smoking, type and dose of antipsychotic medication, can also influence BMI and metabolic parameters. Particularly, participants in the TAU group in this study were also engaged in exercise. Taken together, our pilot study supports that 3-month DMT sessions showed no effect on levels of fasting glucose and lipid profile in those inpatients with normal average BMI.
Interestingly, we found a predictive potential of disease duration for the changes in BMI and body weight after DMT therapy in this study. Consistent with previous studies, our findings suggest that there are specific subgroups of patients that benefit from exercise interventions56,57,58. Additionally, we found that those with a longer disease duration of SCZ may achieve more weight loss than those with a shorter disease duration. It is now well established that both the disease duration of SCZ and antipsychotics use are associated with increased metabolic risk13,16. Although the mean weight of our patients was within the normal range, previous studies have shown that patients with SCZ had higher intra-abdmonial fat, abdominal fat and waist to hip ratios compared to healthy controls, despite no significant differences in weight between patients and controls59. Prospective longitudinal studies have also found that long-term antipsychotic treatment can modulate the metabolic system and increase abdominal fat, body weight and BMI16. We speculate that patients with shorter disease duration imply a shorter duration of antipsychotic medication and may suffer less from structural and functional deficiency to adipose tissue and associated metabolic system, whereas patients with longer disease duration may have relatively worse adipose tissue function and lipid metabolism and therefore more improvement can be achieved with DMT interventions in this specific subgroup of patients.
In our study, the discontinuation rate is 3.3% (2/60), which is lower than the recommended value for psychosocial research in patients with SCZ60, and lower than what has been reported in other studies on exercise intervention61,62,63. Although adherence to exercise intervention regimen is particularly important for the long-term care of patients with SCZ64, discontinuation rates of exercise interventions pose an important challenge in SCZ, and rates vary substantially across studies61,62,63. The low discontinuation rate in this clinical trial suggests that long-term hospitalized patients with SCZ have good treatment adherence to DMT interventions and their suitability for implementation in psychiatric hospitals. The DMT intervention is known to use rhythmic movement as an organizing force and a cohesive group process to form group psychotherapy. It creates a safe environment for patients to express themselves authentically and develop a sense of acceptance. As a result, long-term inpatients showed low dropout rates in this study.
There were several limitations in this study. First, this was a pilot study with a small sample size for a clinical trial to examine the efficacy of a DMT intervention on metabolic parameters in patients with SZ and therefore was not aimed to produce generalizable results. In addition, the comparatively small sample size may lead to positive or negative results due to the lack of power. Hence, our findings need to be replicated in a prospective study with larger sample sizes. Second, the duration of the DMT intervention is short, and we were unable to investigate long-term improvements in metabolic markers in veterans. Notably, some patients recruited in the present study expressed a preference for long-term treatment. Further studies are needed to investigate the efficacy of DMT interventions for more than three months, e.g., fifty-two weeks27. Third, the sample is exclusively male in this study, which limited the generalization of our findings. Further investigations should be performed to assess whether DMT interventions show efficacy in female patients with SCZ. Fourth, participants in this study were not overweight (BMI = 22). The changes in weight/BMI may not be the most clinically significant outcome measures. As mentioned in the discussion, waist to hip ratio may be more relevant in patients whose weight was in the normal range. However, we did not examine it in this study, which was warranted to be measured in the future study. Fifth, previous studies have shown that general exercise treatments are not effective in reducing BMI and weight reduction in patients with Sch, as reported in participants in the control group engaged in exercise in our study. It would be interesting to conduct a head-to-head trial of an exercise program versus dance movement therapy with a large sample size in a future study to evaluate the unique benefits of dance therapy. Sixth, our study focused on BMI and weight reduction after treatment with DMT. We assessed only baseline clinical symptoms and did not assess the psychotic symptoms at follow-up. It would be very interesting to assess PANSS at follow-up and investigate if improvements on the physical level are directly related to improvements in the clinical outcomes (symptoms, cognition, and functioning), especially in patients who were not obese or overweight. Thus, future studies should add an analysis (e.g. logistic regression) in which they examine if patients who show reductions in BMI/weight are also more likely to show improvements in symptoms, cognition, functioning, quality of life, etc.
Conclusions
Metabolic abnormalities are one of the serious side effects in patients with SCZ. Long-term hospitalized patients with SCZ are at increased risk of obesity and other metabolic parameters due to lack of exercise and antipsychotic medication use. Our 12-week DMT program reduced anthropometric measures such as body weight and BMI in patients with SCZ. The findings of our study contribute to the introduction of valuable multiple DMT sessions in psychiatric hospitals and provide a validated intervention strategy in clinical practice for weight loss in long-term hospitalized veterans with SCZ. Further research will help to develop important recommendations for action and guidance to promote the health and well-being of patients with SCZ.
Data availability
The datasets generated and analyzed during the current study are available from the corresponding author upon reasonable request.
References
Barnett, R. Schizophrenia. Lancet 391, 648 (2018).
Zhu, M. H. et al. Amisulpride augmentation therapy improves cognitive performance and psychopathology in clozapine-resistant treatment-refractory schizophrenia: a 12-week randomized, double-blind, placebo-controlled trial. Mil. Med. Res. 9, 59 (2022).
Li, S., Chen, D., Xiu, M., Li, J. & Zhang, X. Y. Diabetes mellitus, cognitive deficits and serum BDNF levels in chronic patients with schizophrenia: A case-control study. J. Psychiatr. Res. 134, 39–47 (2021).
Li, S. et al. T(4) and waist:hip ratio as biomarkers of antipsychotic-induced weight gain in Han Chinese inpatients with schizophrenia. Psychoneuroendocrinology 88, 54–60 (2018).
Li, S. et al. TOX and ADIPOQ Gene Polymorphisms are associated with antipsychotic-induced weight gain in Han Chinese. Sci. Rep. 7, 45203 (2017).
Goff, D. C. et al. The long-term effects of antipsychotic medication on clinical course in schizophrenia. Am. J. Psychiatry 174, 840–849 (2017).
Stroup, T. S. & Gray, N. Management of common adverse effects of antipsychotic medications. World Psychiatry 17, 341–356 (2018).
Zhu, Y. et al. Prolactin levels influenced by antipsychotic drugs in schizophrenia: A systematic review and network meta-analysis. Schizophr. Res. 237, 20–25 (2021).
McCutcheon et al. Schizophrenia-An Overview. JAMA Psychiatry 77, 201–210 (2020).
Stubbs, B., Vancampfort, D., De Hert, M. & Mitchell, A. J. The prevalence and predictors of type two diabetes mellitus in people with schizophrenia: a systematic review and comparative meta-analysis. Acta. Psychiatr. Scand. 132, 144–157 (2015).
Vancampfort, D. et al. Risk of metabolic syndrome and its components in people with schizophrenia and related psychotic disorders, bipolar disorder and major depressive disorder: a systematic review and meta-analysis. World Psychiatry 14, 339–347 (2015).
Çakici, N. et al. Altered peripheral blood compounds in drug-naïve first-episode patients with either schizophrenia or major depressive disorder: a meta-analysis. Brain Behav. Immun. 88, 547–558 (2020).
Pillinger, T. et al. Impaired Glucose Homeostasis in First-Episode Schizophrenia: A Systematic Review and Meta-analysis. JAMA Psychiatry 74, 261–269 (2017).
Lane, J. M. et al. Genome-wide association analyses of sleep disturbance traits identify new loci and highlight shared genetics with neuropsychiatric and metabolic traits. Nat. Genet. 49, 274–281 (2017).
Zhuo, C. et al. Double-Edged Sword of Tumour Suppressor Genes in Schizophrenia. Front. Mol. Neurosci. 12, 1 (2019).
Pillinger, T. et al. Comparative effects of 18 antipsychotics on metabolic function in patients with schizophrenia, predictors of metabolic dysregulation, and association with psychopathology: a systematic review and network meta-analysis. Lancet Psychiatry 7, 64–77 (2020).
Pillinger, T., D’Ambrosio, E., McCutcheon, R. & Howes, O. D. Is psychosis a multisystem disorder? A meta-review of central nervous system, immune, cardiometabolic, and endocrine alterations in first-episode psychosis and perspective on potential models. Mol. Psychiatry 24, 776–794 (2019).
Pillinger, T., Beck, K., Stubbs, B. & Howes, O. D. Cholesterol and triglyceride levels in first-episode psychosis: systematic review and meta-analysis. Br. J. Psychiatry 211, 339–349 (2017).
Willett, W. C. et al. Weight, weight change, and coronary heart disease in women. Risk within the ‘normal’ weight range. Jama 273, 461–465 (1995).
Cooper, S. J. et al. BAP guidelines on the management of weight gain, metabolic disturbances and cardiovascular risk associated with psychosis and antipsychotic drug treatment. J. Psychopharmacol. 30, 717–748 (2016).
Austin, M. A., Hokanson, J. E. & Edwards, K. L. Hypertriglyceridemia as a cardiovascular risk factor. Am. J. Cardiol. 81, 7b–12b (1998).
Ruiz-Herrera, X. et al. Prolactin Promotes Adipose Tissue Fitness and Insulin Sensitivity in Obese Males. Endocrinology. 158, 56–68 (2017).
Schwetz, V. et al. Treatment of hyperprolactinaemia reduces total cholesterol and LDL in patients with prolactinomas. Metab. Brain Dis. 32, 155–161 (2017).
Gorvin, C. M. The prolactin receptor: Diverse and emerging roles in pathophysiology. J. Clin. Transl. Endocrinol. 2, 85–91 (2015).
Wilbur, S. et al. Dance for veterans: a complementary health program for veterans with serious mental illness. Arts & Health. 7, 96–108 (2015).
Tessier, J. M. et al. Therapeutic lifestyle changes: impact on weight, quality of life, and psychiatric symptoms in veterans with mental illness. Mil. Med. 182, e1738–e1744 (2017).
Millard, E., Medlicott, E., Cardona, J., Priebe, S. & Carr, C. Preferences for group arts therapies: a cross-sectional survey of mental health patients and the general population. BMJ Open 11, e051173 (2021).
Millman, L. S. M., Terhune, D. B., Hunter, E. C. M. & Orgs, G. Towards a neurocognitive approach to dance movement therapy for mental health: A systematic review. Clin Psychol. Psychother. 28, 24–38 (2021).
Wu, C. C., Xiong, H. Y., Zheng, J. J. & Wang, X. Q. Dance movement therapy for neurodegenerative diseases: A systematic review. Front. Aging Neurosci. 14, 975711 (2022).
de Witte, M. et al. From Therapeutic Factors to Mechanisms of Change in the Creative Arts Therapies: A Scoping Review. Front. Psychol. 12, 678397 (2021).
Bryl, K. et al. The role of dance/movement therapy in the treatment of negative symptoms in schizophrenia: a mixed methods pilot study. J. Ment. Health 31, 613–623 (2022).
Biondo, J., Gerber, N., Bradt, J., Du, W. & Goodill, S. Single-Session Dance/Movement Therapy for Thought and Behavioral Dysfunction Associated With Schizophrenia: A Mixed Methods Feasibility Study. J. Nerv. Ment. Dis. 209, 114–122 (2021).
Koch, S. C. The joy of dance: Specific effects of a single dance intervention on psychiatric patients with depression. Arts Psychother. 34, 10 (2007).
Röhricht, F. & Priebe, S. Effect of body-oriented psychological therapy on negative symptoms in schizophrenia: a randomized controlled trial. Psychol. Med. 36, 669–678 (2006).
Priebe, S. et al. Clinical effectiveness and cost-effectiveness of body psychotherapy in the treatment of negative symptoms of schizophrenia: a multicentre randomised controlled trial. Health Technol. Assess 20, vii–xxiii (2016).
Koch, S. C. et al. Effects of dance movement therapy and dance on health-related psychological outcomes. A meta-analysis update 10, 1806 (2019).
Koch, S. C. et al. Effects of Dance Movement Therapy and Dance on Health-Related Psychological Outcomes. A Meta-Analysis Update. Front. Psychol. 10, 1806 (2019).
Guan, H. et al. Dance/movement therapy for improving balance ability and bone mineral density in long-term patients with schizophrenia: a randomized controlled trial. Schizophrenia (Heidelb) 9, 47 (2023).
Montesi, L., Moscatiello, S., Malavolti, M., Marzocchi, R. & Marchesini, G. Physical activity for the prevention and treatment of metabolic disorders. Intern. Emerg. Med. 8, 655–666 (2013).
Carroll, S. & Dudfield, M. What is the relationship between exercise and metabolic abnormalities? A review of the metabolic syndrome. Sports Med. 34, 371–418 (2004).
Rodrigues-Krause, J., Krause, M. & Reischak-Oliveira, A. Dancing for Healthy Aging: Functional and Metabolic Perspectives. Altern. Ther. Health Med. 25, 44–63 (2019).
Shakeel, S., Newhouse, I., Malik, A. & Heckman, G. Identifying Feasible Physical Activity Programs for Long-Term Care Homes in the Ontario Context. Can Geriatr J 18, 73–104 (2015).
Jansen, C. P., Claßen, K., Wahl, H. W. & Hauer, K. Effects of interventions on physical activity in nursing home residents. Eur J Ageing 12, 261–271 (2015).
Ruscello, B., D’Ottavio, S., Padua, E., Tonelli, C. & Pantanella, L. The influence of music on exercise in a group of sedentary elderly women: an important tool to help the elderly to stay active. J. Sports Med. Phys. Fitness 54, 536–544 (2014).
Venturelli, M., Lanza, M., Muti, E. & Schena, F. Positive effects of physical training in activity of daily living-dependent older adults. Exp. Aging Res. 36, 190–205 (2010).
Crocker, T. et al. Physical rehabilitation for older people in long-term care. Cochrane Database Syst Rev. Cd004294, (2013).
Machacova, K., Vankova, H., Volicer, L., Veleta, P. & Holmerova, I. Dance as Prevention of Late Life Functional Decline Among Nursing Home Residents. J. Appl. Gerontol. 36, 1453–1470 (2017).
Biondo, J. et al. Single-session dance/movement therapy for thought and behavioral dysfunction associated with schizophrenia: A mixed methods feasibility study. J. Nerv. Ment. Dis. 209, 114–122 (2021).
Firth, J., Cotter, J., Elliott, R., French, P. & Yung, A. R. A systematic review and meta-analysis of exercise interventions in schizophrenia patients. Psychol. Med. 45, 1343–1361 (2015).
Staiano, A. E. et al. A randomized controlled trial of dance exergaming for exercise training in overweight and obese adolescent girls. Pediatr. Obes. 12, 120–128 (2017).
Passos, M. E. P. et al. Recreational Dance Practice Modulates Lymphocyte Profile and Function in Diabetic Women. Int. J. Sports Med. 42, 749–759 (2021).
Vancampfort, D. et al. The Impact of Pharmacological and Non-Pharmacological Interventions to Improve Physical Health Outcomes in People With Schizophrenia: A Meta-Review of Meta-Analyses of Randomized Controlled Trials. Focus (Am Psychiatr Publ) 19, 116–128 (2021).
Vancampfort, D. et al. The impact of pharmacological and non-pharmacological interventions to improve physical health outcomes in people with schizophrenia: a meta-review of meta-analyses of randomized controlled trials. World Psychiatry 18, 53–66 (2019).
Lopez-Nieves, I. & C.E.J.A.J.o.D.T. Jakobsche, Biomolecular effects of dance and dance/movement therapy: A review. 44, 241–263 (2022).
Ji, C. Y. & Chen, T. J. Empirical changes in the prevalence of overweight and obesity among Chinese students from 1985 to 2010 and corresponding preventive strategies. Biomed. Environ. Sci. 26, 1–12 (2013).
Romain, A. J. & Abdel-Baki, A. Using the transtheoretical model to predict physical activity level of overweight adults with serious mental illness. Psychiatry Res. 258, 476–480 (2017).
Beebe, L. H. et al. Effects of exercise on mental and physical health parameters of persons with schizophrenia. Issues Ment. Health Nurs. 26, 661–676 (2005).
Arnold, C. et al. Predicting engagement with an online psychosocial intervention for psychosis: Exploring individual- and intervention-level predictors. Internet Interv. 18, 100266 (2019).
Ryan, M. C., Flanagan, S., Kinsella, U., Keeling, F. & Thakore, J. H. The effects of atypical antipsychotics on visceral fat distribution in first episode, drug-naive patients with schizophrenia. Life Sci. 74, 1999–2008 (2004).
Villeneuve, K., Potvin, S., Lesage, A. & Nicole, L. Meta-analysis of rates of drop-out from psychosocial treatment among persons with schizophrenia spectrum disorder. Schizophr. Res. 121, 266–270 (2010).
Scheewe, T. W. et al. Exercise therapy improves mental and physical health in schizophrenia: a randomised controlled trial. Acta. Psychiatr. Scand. 127, 464–473 (2013).
Silva, B. A. et al. A 20-week program of resistance or concurrent exercise improves symptoms of schizophrenia: results of a blind, randomized controlled trial. Braz. J. Psychiatry 37, 271–279 (2015).
Bredin, S. S. D. et al. Effects of Aerobic, Resistance, and Combined Exercise Training on Psychiatric Symptom Severity and Related Health Measures in Adults Living With Schizophrenia: A Systematic Review and Meta-Analysis. Front. Cardiovasc. Med. 8, 753117 (2021).
Vancampfort, D. et al. Prevalence and predictors of treatment dropout from physical activity interventions in schizophrenia: a meta-analysis. Gen. Hosp. Psychiatry 39, 15–23 (2016).
Acknowledgements
Z.Z. and M.X. were responsible for study design, statistical analysis and manuscript preparation. Z.Z., H.G., X.L., and F.W. were responsible for recruiting the patients, performing the clinical rating, and collecting the clinical data. Z.Z. and M.X. were evolving the ideas and editing the manuscript. Z.Z. and M.X. were involved in writing the protocol, and co-wrote the paper. All authors have contributed to and approved the final manuscript. This study was supported by grants from the National Natural Science Foundation of China (82301688), Science and Technology Program of Guangzhou (202206060005, 202201010093, 2023A03J0856, 2023A03J0839), Guangdong Basic and Applied Basic Research Foundation Outstanding Youth Project (2021B1515020064), Medical Science and Technology Research Foundation of Guangdong (A2023224), the Health Science and Technology Program of Guangzhou (20231A010036), and the Natural Science Foundation Program of Guangdong (2023A1515011383). The authors report no biomedical financial interests or potential conflicts of interest.
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Zhou, Z., Guan, H., Xiu, M. et al. Dance/movement therapy for improving metabolic parameters in long-term veterans with schizophrenia. Schizophr 10, 23 (2024). https://doi.org/10.1038/s41537-024-00435-7
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DOI: https://doi.org/10.1038/s41537-024-00435-7