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Gurusamy J, Gandhi S, Damodharan D, Palaniappan M, Ganesan V. Effect of lifestyle modification intervention (LMI) on metabolic syndrome in schizophrenia in a residential mental health care setting-A mixed method study. Schizophr Res 2024; 266:75-84. [PMID: 38377870 DOI: 10.1016/j.schres.2024.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 12/18/2023] [Accepted: 02/10/2024] [Indexed: 02/22/2024]
Affiliation(s)
- Jothimani Gurusamy
- College of Nursing, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, India.
| | - Sailaxmi Gandhi
- Department of Nursing, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, India
| | - Dinakaran Damodharan
- Center for Psychosocial Support and Disaster Management, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, India
| | - Marimuthu Palaniappan
- Department of Biostatistics, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, India
| | - Venkatasubramanian Ganesan
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, India
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Barasche-Berdah D, Ein-Mor E, Calderon-Margalit R, Rose AJ, Krieger M, Brammli-Greenberg S, Ben-Yehuda A, Manor O, Cohen AD, Bar-Ratson E, Bareket R, Matz E, Paltiel O. Nationwide Evaluation of Quality of Care Indicators for Individuals with Severe Mental Illness and Diabetes Mellitus, Following Israel's Mental Health Reform. Community Ment Health J 2024; 60:354-365. [PMID: 37697183 DOI: 10.1007/s10597-023-01178-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 07/31/2023] [Indexed: 09/13/2023]
Abstract
Diabetes Mellitus (DM) is more common among individuals with severe mental illness (SMI). We aimed to assess quality-of-care-indicators in individuals with SMI following the 2015 Israel's Mental-Health-reform. We analyzed yearly changes in 2015-2019 of quality-of-care-measures and intermediate-DM-outcomes, with adjustment for gender, age-group, and socioeconomic status (SES) and compared individuals with SMI to the general adult population. Adults with SMI had higher prevalences of DM (odds ratio (OR) = 1.64; 95% confidence intervals (CI): 1.61-1.67) and obesity (OR = 2.11; 95% CI: 2.08-2.13), compared to the general population. DM prevalence, DM control, and obesity rates increased over the years in this population. In 2019, HbA1c testing was marginally lower (OR = 0.88; 95% CI: 0.83-0.94) and uncontrolled DM (HbA1c > 9%) slightly more common among patients with SMI (OR = 1.22; 95% CI: 1.14-1.30), control worsened by decreasing SES. After adjustment, uncontrolled DM (adj. OR = 1.02; 95% CI: 0.96-1.09) was not associated with SMI. Cardio-metabolic morbidity among patients with SMI may be related to high prevalences of obesity and DM rather than poor DM control. Effective screening for metabolic diseases in this population and social reforms are required.
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Affiliation(s)
- Deborah Barasche-Berdah
- Braun School of Public Health and Community Medicine, Hadassah Medical Organization, Faculty of Medicine, Hebrew University of Jerusalem, POB 12272, 92210, Jerusalem, Israel.
| | - Eliana Ein-Mor
- National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
| | - Ronit Calderon-Margalit
- Braun School of Public Health and Community Medicine, Hadassah Medical Organization, Faculty of Medicine, Hebrew University of Jerusalem, POB 12272, 92210, Jerusalem, Israel
- National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
| | - Adam J Rose
- Braun School of Public Health and Community Medicine, Hadassah Medical Organization, Faculty of Medicine, Hebrew University of Jerusalem, POB 12272, 92210, Jerusalem, Israel
- National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
| | - Michal Krieger
- National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
| | - Shuli Brammli-Greenberg
- Braun School of Public Health and Community Medicine, Hadassah Medical Organization, Faculty of Medicine, Hebrew University of Jerusalem, POB 12272, 92210, Jerusalem, Israel
- National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
| | - Arye Ben-Yehuda
- National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
| | - Orly Manor
- Braun School of Public Health and Community Medicine, Hadassah Medical Organization, Faculty of Medicine, Hebrew University of Jerusalem, POB 12272, 92210, Jerusalem, Israel
- National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
| | - Arnon D Cohen
- Clalit Health Services, 101 Arlozorov St., POB 16250, 62098, Tel Aviv, Israel
| | | | - Ronen Bareket
- Meuhedet Health Fund, 124 Ibn Gvirol St, 62038, Tel Aviv, Israel
- Department of Family Medicine, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
- The Department of Medical Education, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Eran Matz
- Leumit Health Fund, 23 Sprinzak St, 64738, Tel Aviv, Israel
| | - Ora Paltiel
- Braun School of Public Health and Community Medicine, Hadassah Medical Organization, Faculty of Medicine, Hebrew University of Jerusalem, POB 12272, 92210, Jerusalem, Israel
- National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
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Eder J, Simon MS, Glocker C, Musil R. [Weight gain and treatment with psychotropic drugs : Background and management]. Nervenarzt 2023; 94:859-869. [PMID: 37672085 DOI: 10.1007/s00115-023-01534-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 07/21/2023] [Indexed: 09/07/2023]
Abstract
Psychotropic drug-induced weight gain (PIWG) is a well-known and frequent side effect which is relevant for the prognosis of patients. Individual medications have varying risks for the occurrence of PIWG, and at the same time there are individual risk factors on the part of patients, such as age, gender, metabolic and genetic factors. As the metabolic changes in the context of PIWG result in increased mortality in the long term, it is important to prevent PIWG by appropriate prevention and to intervene in a targeted manner if PIWG has already occurred. Appropriate monitoring is therefore essential. This article provides an overview of underlying mechanisms, risk constellations and possible countermeasures.
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Affiliation(s)
- J Eder
- Klinik für Psychiatrie und Psychotherapie, Klinikum der Universität (LMU) München, Nußbaumstraße 7, 80336, München, Deutschland
| | - M S Simon
- Klinik für Psychiatrie und Psychotherapie, Klinikum der Universität (LMU) München, Nußbaumstraße 7, 80336, München, Deutschland
| | - C Glocker
- Klinik für Psychiatrie und Psychotherapie, Klinikum der Universität (LMU) München, Nußbaumstraße 7, 80336, München, Deutschland.
| | - R Musil
- Klinik für Psychiatrie und Psychotherapie, Klinikum der Universität (LMU) München, Nußbaumstraße 7, 80336, München, Deutschland
- Oberberg Fachklinik Bad Tölz, Bad Tölz, Deutschland
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Jin H, Kolawole O, Wang Z. Cost-effectiveness analysis of physical activity interventions for people with schizophrenia or bipolar disorder: systematic review. Br J Psychiatry 2023; 223:362-376. [PMID: 37526007 PMCID: PMC10405045 DOI: 10.1192/bjp.2023.52] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 02/27/2023] [Accepted: 03/23/2023] [Indexed: 08/02/2023]
Abstract
BACKGROUND Clinical guidelines recommend providing physical activity interventions (PAIs) to people with schizophrenia or bipolar disorder for weight management. However, the cost-effectiveness of PAIs is unknown. AIMS To evaluate the availability and methodological quality of economic evaluations of PAIs for people with schizophrenia or bipolar disorder. METHOD Four databases (MEDLINE, Embase, PsycInfo and Scopus) were searched on 5 July 2022. Based on the retrieved studies, forward and backward citation searches were conducted. Two reviewers independently selected studies for inclusion. Study quality was assessed using the Drummond checklist. Review results were presented using narrative synthesis. RESULTS Fourteen articles reporting nine studies were included. All included studies assessed PAIs within a multicomponent lifestyle intervention. Mixed findings were reported on the cost-effectiveness of multicomponent lifestyle intervention: three studies reported it as cost-effective; four studies reported it as not cost-effective; and two studies did not conclude whether it was cost-effective or not. Very limited evidence suggests that certain patient subgroups might be more likely to benefit from multicomponent lifestyle interventions with a PAI component: men; individuals with comorbid type 2 diabetes; and individuals who have been psychiatric hospital in-patients for ≥1 year. The quality of included studies ranged from moderate to high. CONCLUSIONS The current economic evidence suggests that not all modalities of multicomponent lifestyle intervention including a PAI component are cost-effective for people with schizophrenia or bipolar disorder; and not all people with schizophrenia or bipolar disorder would benefit equally from the intervention. Future research is urgently needed to identify the cost-effective modality of PAI for different patient subgroups.
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Affiliation(s)
- Huajie Jin
- King's Health Economics (KHE), Health Service and Population Research Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Oluwafunso Kolawole
- King's Health Economics (KHE), Health Service and Population Research Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Zhengwei Wang
- King's Health Economics (KHE), Health Service and Population Research Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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Tsima BM, Opondo P, Mosepele M, Mautle E, Bilker WB, Gross R. Prevalence of the metabolic syndrome and associated factors among inpatients with severe mental illness in Botswana: a cross-sectional study. BMC Cardiovasc Disord 2022; 22:515. [PMID: 36460970 DOI: 10.1186/s12872-022-02939-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 11/08/2022] [Indexed: 12/03/2022] Open
Abstract
INTRODUCTION The metabolic syndrome, a cluster of inter-related risk factors for cardiovascular diseases is highly prevalent among individuals with obesity and sedentary lifestyle. Chronic psychiatric disorders such as severe mental illness are associated with increased risk for cardiovascular diseases. We aimed to assess the prevalence and correlates of metabolic syndrome among inpatients with severe mental illness in a resource limited setting with high HIV prevalence. METHODS This was a cross-sectional study among adult inpatients at a referral psychiatric hospital in Botswana. We used convenience sampling to enrol participants available at the time of the study. The National Cholesterol Education Program Adult Treatment Panel-III (NCEP-ATP III) criteria was used to define the metabolic syndrome. Data were analysed using descriptive statistics as well as multiple logistic regression modelling. RESULTS A total of 137 participants were enrolled. Of these, 119 (87%) had complete data for the main analysis. The overall prevalence of metabolic syndrome was 22.6% (95% CI 15.9, 30.6) and did not differ significantly by gender or HIV status. Age was significantly associated with the risk of having the metabolic syndrome while gender, body mass index, HIV status, and days of moderate physical activity were not. CONCLUSION There was a moderately high prevalence of metabolic syndrome. Thus, the management of individuals with severe mental illness in resource limited settings should include assessment of cardiovascular risk and target modifiable risk factors in this population. Consideration for the patient's age should be made when rationalizing the limited resources available for assessing metabolic syndrome among patients with severe mental illness.
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Mawer T, Kent K, Williams AD, McGowan CJ, Murray S, Bird ML, Hardcastle S, Bridgman H. The knowledge, barriers and opportunities to improve nutrition and physical activity amongst young people attending an Australian youth mental health service: a mixed-methods study. BMC Health Serv Res 2022; 22:789. [PMID: 35715836 PMCID: PMC9205652 DOI: 10.1186/s12913-022-08182-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 06/07/2022] [Indexed: 11/10/2022] Open
Abstract
Background Mental illnesses are the leading cause of disability in young people, and lifestyle interventions in young people at risk of mental illness remain a priority. Opportunities to improve nutrition and physical activity among young people through youth mental health services remain unclear. This study aimed to determine the knowledge and behaviors towards nutrition and physical activity, the barriers and enablers to improving behaviors, and the preferred providers and sources of information for nutrition and physical activity among a sample of young people attending a youth mental health service. Methods A mixed-method study was conducted in regional Tasmania, Australia in a sample of young people (15–25 years) attending a youth mental health service (headspace). A quantitative survey (n = 48) determined young people’s nutrition and physical activity knowledge, behaviors, barriers and enablers to achieving recommendations, and their preferred providers and sources of information. Structured interviews and a focus group further explored these concepts (n = 8), including the role of the mental health service as a provider of this support. Results The majority of participants did not meet national recommendations for nutrition and physical activity, despite possessing a high level of knowledge regarding their importance for mental health. Improving mental health was a common enabling factor for participants choosing to alter diet and physical activity habits, but also the leading barrier for participating in physical activity. Young people wanted to receive information from reputable health providers, ideally through social media sources. headspace was seen as an important potential provider of this information. Conclusions Our results indicate that there is a clear need to improve diet and physical activity habits to enhance mental and physical health outcomes in this at-risk group, and youth mental health services could provide further interventions to support their clients. Specialized staff (e.g. dietitians and exercise physiologists) may provide additional benefits alongside existing mental health care support. Supplementary Information The online version contains supplementary material available at 10.1186/s12913-022-08182-0.
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Affiliation(s)
- Tamieka Mawer
- Centre for Rural Health, University of Tasmania, Locked Bag 1322, Launceston, Tasmania, 7250, Australia
| | - Katherine Kent
- School of Health Sciences, University of Tasmania, Launceston, Tasmania, Australia.,School of Health Sciences, Western Sydney University, Kingswood, New South Wales, Australia
| | - Andrew D Williams
- School of Health Sciences, University of Tasmania, Launceston, Tasmania, Australia
| | - Courtney J McGowan
- School of Health Sciences, University of Tasmania, Launceston, Tasmania, Australia.,Sport Performance Optimization Research Team, School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, Tasmania, Australia
| | - Sandra Murray
- School of Health Sciences, University of Tasmania, Launceston, Tasmania, Australia
| | - Marie-Louise Bird
- School of Health Sciences, University of Tasmania, Launceston, Tasmania, Australia
| | - Sibella Hardcastle
- School of Health Sciences, University of Tasmania, Launceston, Tasmania, Australia
| | - Heather Bridgman
- Centre for Rural Health, University of Tasmania, Locked Bag 1322, Launceston, Tasmania, 7250, Australia.
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Luo M, Hu Y, Bai R, Xu Z. Data Mining-Based Analysis of Modern Chinese Medicine for the Treatment of Stable Angina Pectoris in Coronary Heart Disease. J Healthc Eng 2022; 2022:3511974. [PMID: 35265297 PMCID: PMC8901347 DOI: 10.1155/2022/3511974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 01/26/2022] [Indexed: 11/18/2022]
Abstract
The aim of this study is to explore the clinical effects of Chinese medicine in the treatment of stable angina pectoris in coronary heart disease. Chinese medicine has multitarget, multilevel, and multilink effects in the treatment of coronary angina, which can significantly improve patients' symptoms. Its mechanism of action involves multiple levels such as regulating lipid metabolism, improving platelet function, antioxidant, and protecting endothelial function. The design was based on data mining to analyse the dosing pattern of modern Chinese medicine for the treatment of stable angina pectoris in coronary heart disease. The number of episodes of angina pectoris, the duration of the episodes, and the changes in the electrocardiogram before and after taking the medicine were observed and compared between the two groups. The number and duration of angina attacks ((2.23 ± 0.77) per week and (1.31 ± 0.34) min/time, respectively) in the study group were found to be significantly better than those in the control group ((3.86 ± 1.03) per week and (2.46 ± 1.21) min/time, respectively).
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Affiliation(s)
- Min Luo
- Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Yuying Hu
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300380, China
| | - Rong Bai
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300380, China
| | - Zongpei Xu
- Library of Tianjin University of Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
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Kirschner V, Lamp N, Dinc Ü, Becker T, Kilian R, Mueller-Stierlin AS. The evaluation of a physical health promotion intervention for people with severe mental illness receiving community based accommodational support: a mixed-method pilot study. BMC Psychiatry 2022; 22:6. [PMID: 34983452 PMCID: PMC8728992 DOI: 10.1186/s12888-021-03640-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 12/03/2021] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Unhealthy lifestyle constitutes a cause of increased morbidity and mortality in people with severe mental illness. The aim of this mixed-method pilot study was to investigate the feasibility and preliminary effectiveness of an intervention to promote a health-conscious lifestyle in comparison to care as usual among people with severe mental illness receiving accommodational support in community settings. METHODS This was a prospective, quasi-experimental, controlled study over four six-month assessment points (t0, + 6 months, + 12 months, + 18 months) with 70 persons with severe mental illness receiving community based accommodational support. Mental health staff members of the housing facilities were trained in Motivational Interviewing and conducted a six-week health course with the intervention group participants in addition to care as usual. Next to the primary outcome - self-rated physical well-being (FEW 16) - anthropometric parameters and unhealthy behaviours (diet, physical activity, alcohol and tobacco consumption, and oral hygiene) were examined. Effectiveness analysis was conducted using mixed-effects regression models with propensity score adjustment to control for selection bias. One year after the end of the intervention, semi-standardized expert interviews were conducted with 12 of these employees and evaluated by content analysis. RESULTS The qualitative interviews with mental health staff underline the intervention's feasibility in people with severe mental illness in sheltered housing, and the acceptability of and satisfaction with the intervention among mental health workers. But in this pilot study no superiority of the HELPS intervention compared to routine care could be demonstrated in terms of the investigated outcomes. CONCLUSIONS The findings of this pilot study underscore the feasibility and acceptability of health promotion programmes based on Motivational Interviewing and highlight the need to further develop multi-modal programs according to the needs of the target group. Long-term and sustainable support for healthy lifestyles of people with severe mental illness receiving community mental health care requires multi-modal concepts and organisational change. TRIAL REGISTRATION DRKS00011659 , date of registration was 2017/02/15; retrospectively registered as date of first enrolment was 2017/01/24.
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Affiliation(s)
- Viola Kirschner
- grid.6582.90000 0004 1936 9748Department of Psychiatry II, University of Ulm, Lindenallee 2, 89312 Günzburg, Germany
| | - Natalie Lamp
- grid.6582.90000 0004 1936 9748Department of Psychiatry II, University of Ulm, Lindenallee 2, 89312 Günzburg, Germany
| | - Ümmügülsüm Dinc
- grid.6582.90000 0004 1936 9748Department of Psychiatry II, University of Ulm, Lindenallee 2, 89312 Günzburg, Germany
| | - Thomas Becker
- grid.6582.90000 0004 1936 9748Department of Psychiatry II, University of Ulm, Lindenallee 2, 89312 Günzburg, Germany
| | - Reinhold Kilian
- grid.6582.90000 0004 1936 9748Department of Psychiatry II, University of Ulm, Lindenallee 2, 89312 Günzburg, Germany
| | - Annabel Sandra Mueller-Stierlin
- Department of Psychiatry II, University of Ulm, Lindenallee 2, 89312, Günzburg, Germany. .,Institute of Epidemiology and Medical Biometry, University of Ulm, Schwabstraße 13, 89075, Ulm, Germany.
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Zavala GA, Todowede O, Mazumdar P, Aslam F, Choudhury AH, Jarde A, Khalid H, Reddy S, Gilbody S, Siddiqi N. Effectiveness of interventions to address obesity and health risk behaviours among people with severe mental illness in low- and middle-income countries (LMICs): a systematic review and meta analysis. Glob Ment Health (Camb) 2022; 9:264-73. [PMID: 36618743 DOI: 10.1017/gmh.2022.21] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 02/28/2022] [Accepted: 03/13/2022] [Indexed: 01/11/2023] Open
Abstract
INTRODUCTION People with severe mental illness (SMI) are more likely to have obesity and engage in health risk behaviours than the general population. The aims of this study are (1) evaluate the effectiveness of interventions that focus on body weight, smoking cessation, improving sleeping patterns, and alcohol and illicit substance abuse; (2) Compare the number of interventions addressing body weight and health risk behaviours in low- and middle-income countries (LMICs) v. those reported in published systematic reviews focusing on high-income countries (HICs). METHODS Intervention studies published up to December 2020 were identified through a structured search in the following database; OVID MEDLINE (1946-December 2020), EMBASE (1974-December 2020), CINAHL (1975-2020), APA PsychoINFO (1806-2020). Two authors independently selected studies, extracted study characteristics and data and assessed the risk of bias. and risk of bias was assessed using the Cochrane risk of bias tool V2. We conducted a narrative synthesis and, in the studies evaluating the effectiveness of interventions to address body weight, we conducted random-effects meta-analysis of mean differences in weight gain. We did a systematic search of systematic reviews looking at cardiometabolic and health risk behaviours in people with SMI. We compared the number of available studies of LMICs with those of HICs. RESULTS We assessed 15 657 records, of which 9 met the study inclusion criteria. Six focused on healthy weight management, one on sleeping patterns and two tested a physical activity intervention to improve quality of life. Interventions to reduce weight in people with SMI are effective, with a pooled mean difference of -4.2 kg (95% CI -6.25 to -2.18, 9 studies, 459 participants, I 2 = 37.8%). The quality and sample size of the studies was not optimal, most were small studies, with inadequate power to evaluate the primary outcome. Only two were assessed as high quality (i.e. scored 'low' in the overall risk of bias assessment). We found 5 reviews assessing the effectiveness of interventions to reduce weight, perform physical activity and address smoking in people with SMI. From the five systematic reviews, we identified 84 unique studies, of which only 6 were performed in LMICs. CONCLUSION Pharmacological and activity-based interventions are effective to maintain and reduce body weight in people with SMI. There was a very limited number of interventions addressing sleep and physical activity and no interventions addressing smoking, alcohol or harmful drug use. There is a need to test the feasibility and cost-effectiveness of context-appropriate interventions to address health risk behaviours that might help reduce the mortality gap in people with SMI in LMICs.
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Afzal M, Siddiqi N, Ahmad B, Afsheen N, Aslam F, Ali A, Ayesha R, Bryant M, Holt R, Khalid H, Ishaq K, Koly KN, Rajan S, Saba J, Tirbhowan N, Zavala GA. Prevalence of Overweight and Obesity in People With Severe Mental Illness: Systematic Review and Meta-Analysis. Front Endocrinol (Lausanne) 2021; 12:769309. [PMID: 34899604 PMCID: PMC8656226 DOI: 10.3389/fendo.2021.769309] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 10/21/2021] [Indexed: 11/23/2022] Open
Abstract
Aims 1) To determine the pooled prevalence of overweight and obesity in people with severe mental illness (SMI), overall and by type of SMI, geographical region, and year of data collection; and 2) to assess the likelihood of overweight and obesity, in people with SMI compared with the general population. Methods PubMed, Medline, EMBASE, and PsycINFO databases were searched to identify observational studies assessing the prevalence of obesity in adults with SMI. Screening, data extraction and risk of bias assessments were performed independently by two co-authors. Random effect estimates for the pooled prevalence of overweight and obesity and the pooled odds of obesity in people with SMI compared with the general population were calculated. Subgroup analyses were conducted for types of SMI, setting, antipsychotic medication, region of the world, country income classification, date of data collection and sex. We assessed publication bias and performed a series of sensitivity analyses, excluding studies with high risk of bias, with low sample size and those not reporting obesity according to WHO classification. Result 120 studies from 43 countries were included, the majority were from high income countries. The pooled prevalence of obesity in people with SMI was 25.9% (95% C.I. = 23.3-29.1) and the combined pooled prevalence of overweight and obesity was 60.1% (95% C.I. = 55.8-63.1). Sub-Saharan Africa (13.0%, 95%C.I. = 6.7-25.1) and South Asia (17.7%, 95%C.I. = 10.5-28.5) had the lowest prevalence of obesity whilst North Africa and the Middle East (35.8%, 95%C.I. = 23.8-44.8) reported the highest prevalence. People with SMI were 3.04 more likely (95% C.I. = 2.42-3.82) to have obesity than the general population, but there was no difference in the prevalence of overweight. Women with schizophrenia were 1.44 (95% C.I. = 1.25-1.67) times more likely than men with schizophrenia to live with obesity; however, no gender differences were found among those with bipolar disorder. Conclusion People with SMI have a markedly high prevalence and higher odds of obesity than the general population. This may contribute to the very high prevalence of physical health conditions and mortality in this group. People with SMI around the world would likely benefit from interventions to reduce and prevent obesity.
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Affiliation(s)
- Medhia Afzal
- Department of Health Sciences, University of York, York, United Kingdom
- Hull York Medical School, York, United Kingdom
- Health and Care of Older People, East Kent Hospitals University National Health Service (NHS Foundation), Kent, United Kingdom
| | - Najma Siddiqi
- Department of Health Sciences, University of York, York, United Kingdom
- Hull York Medical School, York, United Kingdom
| | - Bilal Ahmad
- Institute of Psychiatry, Rawalpindi Medical University, Rawalpindi, Pakistan
| | - Nida Afsheen
- Institute of Psychiatry, Rawalpindi Medical University, Rawalpindi, Pakistan
| | - Faiza Aslam
- Institute of Psychiatry, Rawalpindi Medical University, Rawalpindi, Pakistan
| | - Ayaz Ali
- Institute of Psychiatry, Rawalpindi Medical University, Rawalpindi, Pakistan
| | - Rubab Ayesha
- Institute of Psychiatry, Rawalpindi Medical University, Rawalpindi, Pakistan
| | - Maria Bryant
- Department of Health Sciences, University of York, York, United Kingdom
- Hull York Medical School, York, United Kingdom
| | - Richard Holt
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
- Southampton National Institute for Health Research Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Humaira Khalid
- Health and Care of Older People, East Kent Hospitals University National Health Service (NHS Foundation), Kent, United Kingdom
| | - Kousar Ishaq
- Health and Care of Older People, East Kent Hospitals University National Health Service (NHS Foundation), Kent, United Kingdom
| | - Kamrun Nahar Koly
- Health System and Population Studies Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
| | - Sukanya Rajan
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, Bangalore, India
| | - Jobaida Saba
- Health System and Population Studies Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
| | | | - Gerardo A. Zavala
- Department of Health Sciences, University of York, York, United Kingdom
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11
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Looijmans A, Jörg F, Bruggeman R, Schoevers RA, Corpeleijn E, Feenstra TL, van Asselt ADIT. Cost-effectiveness and budget impact of a lifestyle intervention to improve cardiometabolic health in patients with severe mental illness. Glob Reg Health Technol Assess 2020; 7:131-8. [PMID: 36627968 DOI: 10.33393/grhta.2020.2027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 06/19/2020] [Indexed: 01/13/2023] Open
Abstract
Introduction This study assessed the cost-effectiveness and budget impact of a lifestyle intervention to improve cardiometabolic health in severe mentally ill (SMI) patients in the LION trial. Methods Patients (n = 244) were randomized to receive either care-as-usual or a lifestyle intervention in which mental health nurses coached patients in changing their lifestyle by using a web tool. Costs and quality of life were assessed at baseline and at 6 and 12 months. Incremental costs per centimeter waist circumference (WC) lost and per Quality-Adjusted Life Year (QALY) gained were assessed. Budget impact was estimated based on three intervention-uptake scenarios using a societal and a third-party payer perspective. Results Costs and reduction in WC were higher in the intervention (n = 114) than in the control (n = 94) group after 12 months, although not statistically significant, resulting in €1,370 per cm WC lost. QALYs did not differ between the groups, resulting in a low probability of the intervention being cost-effective in cost/QALY gained. The budget impact analysis showed that for a reasonable participation of 43%, total costs were around €81 million over 5 years, or on average €16 million annually (societal perspective). Conclusions The intervention is not cost-effective at 12 months and the budget impact over 5 years is substantial. Possibly, 12 months was too short to implement the intervention, improve cardiometabolic health, and reduce care costs. Therefore, the incentive for this intervention cannot be found in short-term financial advantages. However, there may be benefits associated with lifestyle interventions in the long term that remain unclear.
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12
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Bailey JM, Clinton-McHarg TL, Wye PM, Wiggers JH, Bartlem KM, Bowman JA. Preventive care for physical activity and fruit and vegetable consumption: a survey of family carer expectations of health service delivery for people with a mental health condition. BMC Health Serv Res 2020; 20:201. [PMID: 32164730 PMCID: PMC7068924 DOI: 10.1186/s12913-020-5059-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Accepted: 02/28/2020] [Indexed: 11/07/2022] Open
Abstract
Background Chronic disease is a leading cause of death globally, where inadequate fruit and vegetable consumption and inadequate physical activity are consistently implicated as key contributing risk factors for such diseases. People with a mental health condition are reported to experience a higher prevalence of such risks and experience an increased morbidity and mortality from resultant chronic disease. Despite guidelines identifying a need for services accessed by people with a mental health condition to provide care to address such health risk behaviours, sub-optimal care is frequently reported suggesting a need for innovative strategies to increase the provision of physical health care. An exploratory study was conducted to examine: 1) family carers’ expectations of care provision regarding fruit and vegetable consumption and physical activity by health and community services for people with a mental health condition; 2) carer’s own health risk behaviour status and perceptions of the influence of the health risk behaviours on mental health; and 3) possible associations of socio-demographic, clinical and attitudinal factors with carer expectations of care provision for fruit and vegetable consumption and physical activity. Methods Family carers (n = 144) of a person with a mental health condition completed a cross-sectional survey. Participants were members of a mental health carer support organisation operating in New South Wales, Australia. Results A high proportion of participants considered care for fruit and vegetable consumption and physical activity respectively should be provided by: mental health hospitals (78.5, 82.7%); community mental health services (76.7, 85.9%); general practice (81.1, 79.2%); and non-government organisations (56.2, 65.4%). Most participants perceived adequate fruit and vegetable consumption (55.9%), and physical activity (71.3%) would have a very positive impact on mental health. Carers who perceived adequate fruit and vegetable consumption and physical activity would have a positive impact on mental health were more likely to expect care for such behaviours from some services. Conclusions The majority of participants expected care for fruit and vegetable consumption and physical activity be provided by all services catering for people with a mental health condition, reinforcing the appropriateness for such services to provide physical health care for clients in a systematic manner.
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Affiliation(s)
- Jacqueline M Bailey
- School of Psychology, Faculty of Science and Information Technology, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia. .,Hunter Medical Research Institute, Clinical Research Centre, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia.
| | - Tara L Clinton-McHarg
- School of Psychology, Faculty of Science and Information Technology, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.,Hunter Medical Research Institute, Clinical Research Centre, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia
| | - Paula M Wye
- School of Psychology, Faculty of Science and Information Technology, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.,Hunter Medical Research Institute, Clinical Research Centre, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia
| | - John H Wiggers
- Hunter Medical Research Institute, Clinical Research Centre, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia.,Population Health, Hunter New England Local Health District, Booth Building, Wallsend Health Services, Longworth Avenue, Wallsend, Wallsend, NSW, 2287, Australia.,School of Medicine and Public Health, Faculty of Health and Medicine, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia
| | - Kate M Bartlem
- School of Psychology, Faculty of Science and Information Technology, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.,Hunter Medical Research Institute, Clinical Research Centre, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia
| | - Jennifer A Bowman
- School of Psychology, Faculty of Science and Information Technology, The University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.,Hunter Medical Research Institute, Clinical Research Centre, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia
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13
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Saran A, White H, Kuper H. Evidence and gap map of studies assessing the effectiveness of interventions for people with disabilities in low-and middle-income countries. Campbell Syst Rev 2020; 16:e1070. [PMID: 37131970 PMCID: PMC8356326 DOI: 10.1002/cl2.1070] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Background There are approximately 1 billion people in the world with some form of disability. This corresponds to approximately 15% of the world's population (World Report on Disability, 2011). The majority of people with disabilities (80%) live in low- and middle-income countries (LMICs), where disability has been shown to disproportionately affect the most disadvantaged sector of the population. Decision makers need to know what works, and what does not, to best invest limited resources aimed at improving the well-being of people with disabilities in LMICs. Systematic reviews and impact evaluations help answer this question. Improving the availability of existing evidence will help stakeholders to draw on current knowledge and to understand where new research investments can guide decision-making on appropriate use of resources. Evidence and gap maps (EGMs) contribute by showing what evidence there is, and supporting the prioritization of global evidence synthesis needs and primary data collection. Objectives The aim of this EGM is to identify, map and describe existing evidence of effectiveness studies and highlight gaps in evidence base for people with disabilities in LMICs. The map helps identify priority evidence gaps for systematic reviews and impact evaluations. Methods The EGM included impact evaluation and systematic reviews assessing the effect of interventions for people with disabilities and their families/carers. These interventions were categorized across the five components of community-based rehabilitation matrix; health, education, livelihood, social and empowerment. Included studies looked at outcomes such as, health, education, livelihoods, social inclusion and empowerment, and were published for LMICs from 2000 onwards until January 2018. The searches were conducted between February and March 2018. The EGM is presented as a matrix in which the rows are intervention categories (e.g., health) and subcategories (e.g., rehabilitation) and the column outcome domains (e.g., health) and subdomains (e.g., immunization). Each cell lists the studies for that intervention for those outcomes, with links to the available studies. Included studies were therefore mapped according to intervention and outcomes assessed and additional filters as region, population and study design were also coded. Critical appraisal of included systematic review was done using A Measurement Tool to Assess Systematic Reviews' rating scale. We also quality-rated the impact evaluation using a quality assessment tool based on various approaches to risk of bias assessment. Results The map includes 166 studies, of which 59 are systematic reviews and 107 impact evaluation. The included impact evaluation are predominantly quasiexperimental studies (47%). The numbers of studies published each year have increased steadily from the year 2000, with the largest number published in 2017.The studies are unevenly distributed across intervention areas. Health is the most heavily populated area of the map. A total of 118 studies of the 166 studies concern health interventions. Education is next most heavily populated with 40 studies in the education intervention/outcome sector. There are relatively few studies for livelihoods and social, and virtually none for empowerment. The most frequent outcome measures are health-related, including mental health and cognitive development (n = 93), rehabilitation (n = 32), mortality and morbidity (n = 23) and health check-up (n = 15). Very few studies measured access to assistive devices, nutrition and immunization. Over half (n = 49) the impact evaluation come from upper-middle income countries. There are also geographic gaps, most notably for low income countries (n = 9) and lower-middle income countries (n = 34). There is a fair amount of evidence from South Asia (n = 73) and Sub-Saharan Africa (n = 51). There is a significant gap with respect to study quality, especially with respect to impact evaluation. There appears to be a gap between the framing of the research, which is mostly within the medical model and not using the social model of disability. Conclusion Investing in interventions to improve well-being of people with disabilities will be critical to achieving the 2030 agenda for sustainable development goals. The EGM summarized here provides a starting point for researchers, decision makers and programme managers to access the available research evidence on the effectiveness of interventions for people with disabilities in LMICs in order to guide policy and programme activity, and encourage a more strategic, policy-oriented approach to setting the future research agenda.
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Affiliation(s)
| | | | - Hannah Kuper
- London School of Hygiene and Tropical Medicine (LSHTM)LondonUK
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14
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Bailey JM, Bartlem KM, Wiggers JH, Wye PM, Stockings EA, Hodder RK, Metse AP, Regan TW, Clancy R, Dray JA, Tremain DL, Bradley T, Bowman JA. Systematic review and meta-analysis of the provision of preventive care for modifiable chronic disease risk behaviours by mental health services. Prev Med Rep 2019; 16:100969. [PMID: 31497500 PMCID: PMC6718945 DOI: 10.1016/j.pmedr.2019.100969] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2019] [Revised: 07/05/2019] [Accepted: 08/09/2019] [Indexed: 01/10/2023] Open
Abstract
People with mental illness experience increased chronic disease burden, contributed to by a greater prevalence of modifiable chronic disease risk behaviours. Policies recommend mental health services provide preventive care for such risk behaviours. Provision of such care has not previously been synthesised. This review assessed the provision of preventive care for modifiable chronic disease risk behaviours by mental health services. Four databases were searched from 2006 to 2017. Eligible studies were observational quantitative study designs conducted in mental health services, where preventive care was provided to clients for tobacco smoking, harmful alcohol consumption, inadequate nutrition, or inadequate physical activity. Two reviewers independently screened studies, conducted data extraction and critical appraisal. Results were pooled as proportions of clients receiving or clinicians providing preventive care using random effects meta-analyses, by risk behaviour and preventive care element (ask/assess, advise, assist, arrange). Subgroup analyses were conducted by mental health service type (inpatient, outpatient, other/multiple). Narrative synthesis was used where meta-analysis was not possible. Thirty-eight studies were included with 26 amenable to meta-analyses. Analyses revealed that rates of assessment were highest for smoking (78%, 95% confidence interval [CI]:59%–96%) and lowest for nutrition (17%, 95% CI:1%–35%); with variable rates of care provision for all behaviours, care elements, and across service types, with substantial heterogeneity across analyses. Findings indicated suboptimal and variable provision of preventive care for modifiable chronic disease risk behaviours in mental health services, but should be considered with caution due to the very low quality of cumulative evidence. PROSPERO registration: CRD42016049889. First meta-analysis of chronic disease preventive care provided by mental health service settings Assessed preventive care for smoking, alcohol, nutrition, and physical activity in mental health settings Provision of preventive care varied across risk behaviours, care elements, and service types. Findings indicate suboptimal provision of preventive care for health risk behaviours.
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Affiliation(s)
- Jacqueline M. Bailey
- School of Psychology, Faculty of Science and Information Technology, The University of Newcastle, NSW, Australia
- Hunter Medical Research Institute, Clinical Research Centre, NSW, Australia
- Corresponding author at: School of Psychology, Faculty of Science and Information Technology, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia.
| | - Kate M. Bartlem
- School of Psychology, Faculty of Science and Information Technology, The University of Newcastle, NSW, Australia
- Hunter Medical Research Institute, Clinical Research Centre, NSW, Australia
- Population Health, Hunter New England Local Health District, NSW, Australia
| | - John H. Wiggers
- Hunter Medical Research Institute, Clinical Research Centre, NSW, Australia
- Population Health, Hunter New England Local Health District, NSW, Australia
- School of Medicine and Public Health, Faculty of Health and Medicine, The University of Newcastle, NSW, Australia
| | - Paula M. Wye
- School of Psychology, Faculty of Science and Information Technology, The University of Newcastle, NSW, Australia
| | - Emily A.L. Stockings
- School of Psychology, Faculty of Science and Information Technology, The University of Newcastle, NSW, Australia
- National Drug and Alcohol Research Centre, University of New South Wales, NSW, Australia
| | - Rebecca K. Hodder
- Hunter Medical Research Institute, Clinical Research Centre, NSW, Australia
- Population Health, Hunter New England Local Health District, NSW, Australia
- School of Medicine and Public Health, Faculty of Health and Medicine, The University of Newcastle, NSW, Australia
| | - Alexandra P. Metse
- School of Psychology, Faculty of Science and Information Technology, The University of Newcastle, NSW, Australia
- School of Psychology and Exercise Science, Murdoch University, WA, Australia
| | - Tim W. Regan
- School of Psychology, Faculty of Science and Information Technology, The University of Newcastle, NSW, Australia
| | - Richard Clancy
- School of Psychology, Faculty of Science and Information Technology, The University of Newcastle, NSW, Australia
- Hunter Medical Research Institute, Clinical Research Centre, NSW, Australia
- Hunter New England Health, Mental Health and Substance Use Service, NSW, Australia
| | - Julia A. Dray
- School of Psychology, Faculty of Science and Information Technology, The University of Newcastle, NSW, Australia
- Population Health, Hunter New England Local Health District, NSW, Australia
| | - Danika L. Tremain
- Population Health, Hunter New England Local Health District, NSW, Australia
- School of Medicine and Public Health, Faculty of Health and Medicine, The University of Newcastle, NSW, Australia
| | - Tegan Bradley
- School of Psychology, Faculty of Science and Information Technology, The University of Newcastle, NSW, Australia
- Hunter Medical Research Institute, Clinical Research Centre, NSW, Australia
| | - Jenny A. Bowman
- School of Psychology, Faculty of Science and Information Technology, The University of Newcastle, NSW, Australia
- Hunter Medical Research Institute, Clinical Research Centre, NSW, Australia
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15
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Petzold MB, Mumm JLM, Bischoff S, Große J, Plag J, Brand R, Ströhle A. Increasing physical activity and healthy diet in outpatients with mental disorders: a randomized-controlled evaluation of two psychological interventions. Eur Arch Psychiatry Clin Neurosci 2019; 269:529-42. [PMID: 30194668 DOI: 10.1007/s00406-018-0941-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Accepted: 08/30/2018] [Indexed: 01/24/2023]
Abstract
INTRODUCTION While physical activity (PA) can play an important role in the treatment of mental disorders (MD), large proportions of patients with MD do not meet PA recommendations. The aim of this trial was to evaluate whether structured psychological intervention (MoVo-LISA) is effective in helping outpatients with MD to increase their level of PA. As active control group (CG) we modified MoVo-LISA to target healthy diet behavior. METHODS N = 83 outpatients with MD (F1-F4) were randomized to the two conditions. PA (self-report and accelerometry), dietary behavior, social-cognitive determinants of health behavior change, psychiatric symptoms and health-related quality of life were assessed at baseline, 1 and 12 weeks after the intervention. RESULTS Significant time*group interaction effects for objectively measured PA, dietary behavior and fruit and vegetable consumption indicated differential effects of the interventions on these outcomes. PA increased in the MoVo-LISA group (IG) from baseline to follow-up while it decreased in CG. IG showed a significant higher level of objectively measured PA at follow-up compared to CG. Dietary behavior and fruit and vegetable consumption significantly increased from baseline to follow-up in CG, but not IG. IG showed a significant increase in some, but not all social cognitive determinants of health behavior change. CONCLUSIONS MoVo-LISA is effective in helping outpatients with MD to increase their level of PA in short- and mid-term. The used intervention strategies are effective for the promotion of healthy diet in patients with MD as well.
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16
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Tseng E, Dalcin AT, Jerome GJ, Gennusa JV, Goldsholl S, Cook C, Appel LJ, Maruthur NM, Daumit GL, Wang NY. Effect of a Behavioral Weight Loss Intervention in People With Serious Mental Illness and Diabetes. Diabetes Care 2019; 42:804-809. [PMID: 30765433 PMCID: PMC6489111 DOI: 10.2337/dc18-2201] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Accepted: 01/21/2019] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Given the high prevalence of obesity and diabetes in patients with serious mental illness (SMI) and the lack of evidence on the effects of weight loss programs in SMI patients with diabetes, we evaluated the effectiveness of a behavioral weight loss intervention among SMI participants with and without diabetes. RESEARCH DESIGN AND METHODS Using data from ACHIEVE, a randomized controlled trial to evaluate the effects of a behavioral weight loss intervention among overweight/obese people with SMI, we assessed and compared weight change from baseline to 18 months in participants with and without diabetes using a longitudinal mixed-effects model. RESULTS Of the 291 trial participants, 82 (28.2%) participants had diabetes (34 and 48 in intervention and control groups, respectively) at baseline. Participants with diabetes were more likely to be taking antipsychotics (31.7% vs. 18.7%, P = 0.02). At 18 months, participants in the control group with diabetes lost 1.2 lb (0.6%) of body weight compared with 0.8 lb (0.7%) among those without diabetes. In the intervention group, participants with diabetes lost 13.7 lb (6.6%) of their initial body weight compared with 5.4 lb (2.9%) for those without diabetes. Corresponding net effects (intervention minus control) were 4.6 lb (2.2%) and 12.5 lb (6.0%) net weight reduction over 18 months in the no diabetes and the diabetes subgroups, respectively. However, the between-group difference in intervention effects was statistically nonsignificant (absolute weight change: P-interaction = 0.08; % weight change: P-interaction = 0.10). CONCLUSIONS A behavioral weight loss intervention is effective among overweight and obese individuals with SMI regardless of their diabetes status.
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Affiliation(s)
- Eva Tseng
- Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD .,Welch Center for Prevention, Epidemiology, and Clinical Research, The Johns Hopkins University, Baltimore, MD
| | - Arlene T Dalcin
- Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD.,Welch Center for Prevention, Epidemiology, and Clinical Research, The Johns Hopkins University, Baltimore, MD
| | | | - Joseph V Gennusa
- Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD
| | - Stacy Goldsholl
- Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD
| | - Courtney Cook
- Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD
| | - Lawrence J Appel
- Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD.,Welch Center for Prevention, Epidemiology, and Clinical Research, The Johns Hopkins University, Baltimore, MD.,Department of Epidemiology, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD
| | - Nisa M Maruthur
- Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD.,Welch Center for Prevention, Epidemiology, and Clinical Research, The Johns Hopkins University, Baltimore, MD.,Department of Epidemiology, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD
| | - Gail L Daumit
- Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD.,Welch Center for Prevention, Epidemiology, and Clinical Research, The Johns Hopkins University, Baltimore, MD.,Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD.,Department of Mental Health, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD
| | - Nae-Yuh Wang
- Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD.,Welch Center for Prevention, Epidemiology, and Clinical Research, The Johns Hopkins University, Baltimore, MD.,Department of Epidemiology, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD.,Department of Biostatistics, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD
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17
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Osborn D, Burton A, Walters K, Atkins L, Barnes T, Blackburn R, Craig T, Gilbert H, Gray B, Hardoon S, Heinkel S, Holt R, Hunter R, Johnston C, King M, Leibowitz J, Marston L, Michie S, Morris R, Morris S, Nazareth I, Omar R, Petersen I, Peveler R, Pinfold V, Stevenson F, Zomer E. Primary care management of cardiovascular risk for people with severe mental illnesses: the Primrose research programme including cluster RCT. Programme Grants Appl Res 2019. [DOI: 10.3310/pgfar07020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Background
Effective interventions are needed to prevent cardiovascular disease (CVD) in people with severe mental illnesses (SMI) because their risk of CVD is higher than that of the general population.
Objectives
(1) Develop and validate risk models for predicting CVD events in people with SMI and evaluate their cost-effectiveness, (2) develop an intervention to reduce levels of cholesterol and CVD risk in SMI and (3) test the clinical effectiveness and cost-effectiveness of this new intervention in primary care.
Design
Mixed methods with patient and public involvement throughout. The mixed methods were (1) a prospective cohort and risk score validation study and cost-effectiveness modelling, (2) development work (focus groups, updated systematic review of interventions, primary care database studies investigating statin prescribing and effectiveness) and (3) cluster randomised controlled trial (RCT) assessing the clinical effectiveness and cost-effectiveness of a new practitioner-led intervention, and fidelity assessment of audio-recorded appointments.
Setting
General practices across England.
Participants
All studies included adults with SMI (schizophrenia, bipolar disorder or other non-organic psychosis). The RCT included adults with SMI and two or more CVD risk factors.
Interventions
The intervention consisted of 8–12 appointments with a practice nurse/health-care assistant over 6 months, involving collaborative behavioural approaches to CVD risk factors. The intervention was compared with routine practice with a general practitioner (GP).
Main outcome measures
The primary outcome for the risk score work was CVD events, in the cost-effectiveness modelling it was quality-adjusted life-years (QALYs) and in the RCT it was level of total cholesterol.
Data sources
Databases studies used The Health Improvement Network (THIN). Intervention development work included focus groups and systematic reviews. The RCT collected patient self-reported and routine NHS GP data. Intervention appointments were audio-recorded.
Results
Two CVD risk score models were developed and validated in 38,824 people with SMI in THIN: the Primrose lipid model requiring cholesterol levels, and the Primrose body mass index (BMI) model with no blood test. These models performed better than published Cox Framingham models. In health economic modelling, the Primrose BMI model was most cost-effective when used as an algorithm to drive statin prescriptions. Focus groups identified barriers to, and facilitators of, reducing CVD risk in SMI including patient engagement and motivation, staff confidence, involving supportive others, goal-setting and continuity of care. Findings were synthesised with evidence from updated systematic reviews to create the Primrose intervention and training programme. THIN cohort studies in 16,854 people with SMI demonstrated that statins effectively reduced levels of cholesterol, with similar effect sizes to those in general population studies over 12–24 months (mean decrease 1.2 mmol/l). Cluster RCT: 76 GP practices were randomised to the Primrose intervention (n = 38) or treatment as usual (TAU) (n = 38). The primary outcome (level of cholesterol) was analysed for 137 out of 155 participants in Primrose and 152 out of 172 in TAU. There was no difference in levels of cholesterol at 12 months [5.4 mmol/l Primrose vs. 5.5 mmol/l TAU; coefficient 0.03; 95% confidence interval (CI) –0.22 to 0.29], nor in secondary outcomes related to cardiometabolic parameters, well-being or medication adherence. Mean cholesterol levels decreased over 12 months in both arms (–0.22 mmol/l Primrose vs. –0.39 mmol/l TAU). There was a significant reduction in the cost of inpatient mental health attendances (–£799, 95% CI –£1480 to –£117) and total health-care costs (–£895, 95% CI –£1631 to –£160; p = 0.012) in the intervention group, but no significant difference in QALYs (–0.011, 95% CI –0.034 to 0.011). A total of 69% of patients attended two or more Primrose appointments. Audiotapes revealed moderate fidelity to intervention delivery (67.7%). Statin prescribing and adherence was rarely addressed.
Limitations
RCT participants and practices may not represent all UK practices. CVD care in the TAU arm may have been enhanced by trial procedures involving CVD risk screening and feedback.
Conclusions
SMI-specific CVD risk scores better predict new CVD if used to guide statin prescribing in SMI. Statins are effective in reducing levels of cholesterol in people with SMI in UK clinical practice. This primary care RCT evaluated an evidence-based practitioner-led intervention that was well attended by patients and intervention components were delivered. No superiority was shown for the new intervention over TAU for level of cholesterol, but cholesterol levels decreased over 12 months in both arms and the intervention showed fewer inpatient admissions. There was no difference in cholesterol levels between the intervention and TAU arms, which might reflect better than standard general practice care in TAU, heterogeneity in intervention delivery or suboptimal emphasis on statins.
Future work
The new risk score should be updated, deployed and tested in different settings and compared with the latest versions of CVD risk scores in different countries. Future research on CVD risk interventions should emphasise statin prescriptions more. The mechanism behind lower costs with the Primrose intervention needs exploring, including SMI-related training and offering frequent support to people with SMI in primary care.
Trial registration
Current Controlled Trials ISRCTN13762819.
Funding
This project was funded by the National Institute for Health Research (NIHR) Programme Grants for Applied Research programme and will be published in full in Programme Grants for Applied Research; Vol. 7, No. 2. See the NIHR Journals Library website for further project information. Professor David Osborn is supported by the University College London Hospital NIHR Biomedical Research Centre and he was also in part supported by the NIHR Collaboration for Leadership in Applied Health Research and Care (CLAHRC) North Thames at Barts Health NHS Trust.
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Affiliation(s)
- David Osborn
- Division of Psychiatry, Faculty of Brain Sciences, University College London, London, UK
- Camden and Islington NHS Foundation Trust, St Pancras Hospital, London, UK
| | - Alexandra Burton
- Division of Psychiatry, Faculty of Brain Sciences, University College London, London, UK
| | - Kate Walters
- Department of Primary Care and Population Health, University College London, London, UK
| | - Lou Atkins
- Centre for Behaviour Change, Department of Clinical, Educational and Health Psychology, Division of Psychology and Language Sciences, Faculty of Brain Sciences, University College London, London, UK
| | - Thomas Barnes
- Faculty of Medicine, Department of Medicine, Imperial College London, London, UK
| | - Ruth Blackburn
- Division of Psychiatry, Faculty of Brain Sciences, University College London, London, UK
| | - Thomas Craig
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Hazel Gilbert
- Department of Primary Care and Population Health, University College London, London, UK
| | - Ben Gray
- The McPin Foundation, London, UK
| | - Sarah Hardoon
- Department of Primary Care and Population Health, University College London, London, UK
| | - Samira Heinkel
- Division of Psychiatry, Faculty of Brain Sciences, University College London, London, UK
| | - Richard Holt
- Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Rachael Hunter
- Department of Primary Care and Population Health, University College London, London, UK
| | - Claire Johnston
- School of Health and Education, Faculty of Professional and Social Sciences, Middlesex University, London, UK
| | - Michael King
- Division of Psychiatry, Faculty of Brain Sciences, University College London, London, UK
- Camden and Islington NHS Foundation Trust, St Pancras Hospital, London, UK
| | - Judy Leibowitz
- Camden and Islington NHS Foundation Trust, St Pancras Hospital, London, UK
| | - Louise Marston
- Department of Primary Care and Population Health, University College London, London, UK
| | - Susan Michie
- Camden and Islington NHS Foundation Trust, St Pancras Hospital, London, UK
- Centre for Behaviour Change, Department of Clinical, Educational and Health Psychology, Division of Psychology and Language Sciences, Faculty of Brain Sciences, University College London, London, UK
| | - Richard Morris
- Department of Primary Care and Population Health, University College London, London, UK
| | - Steve Morris
- Department of Allied Health Research, University College London, London, UK
| | - Irwin Nazareth
- Department of Primary Care and Population Health, University College London, London, UK
| | - Rumana Omar
- Department of Statistical Science, University College London, London, UK
| | - Irene Petersen
- Department of Primary Care and Population Health, University College London, London, UK
| | - Robert Peveler
- Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | | | - Fiona Stevenson
- Department of Primary Care and Population Health, University College London, London, UK
| | - Ella Zomer
- Department of Primary Care and Population Health, University College London, London, UK
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18
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Gandhi S, Gurusamy J, Damodharan D, Ganesan V, Palaniappan M. Facilitators of healthy life style behaviors in persons with schizophrenia-A qualitative feasibility pilot study. Asian J Psychiatr 2019; 40:3-8. [PMID: 30658242 DOI: 10.1016/j.ajp.2019.01.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Revised: 12/01/2018] [Accepted: 01/07/2019] [Indexed: 12/16/2022]
Abstract
INTRODUCTION Persons with schizophrenia experience high rates of cardio metabolic disorders and have a 20-25% shorter life expectancy than the general population. Health professionals led life style modification behavior programs have shown improvements, in managing aspects of metabolic problems. This study sought to identify the life style modification by exploring (1) facilitators that help persons with schizophrenia to adopt the lifestyle modification behaviors and (2) factors that help to adhere to life style modification behaviors. METHODS A qualitative study utilizing face to face interviews was conducted for five persons (n = 5) diagnosed as schizophrenia (ICD 10) and their caregivers (n = 13) receiving inpatient mental health services in a tertiary level psychiatry centre, in South India. Qualitative data was collected, organized and analyzed with thematic analysis using ATLAS.ti software. RESULTS The study results identified four major themes as facilitators. (1) Factors of increased self- confidence, and personal development. (2) The need for social support and conducive environment; (3) level of self motivation (4) encouragement from health professional and availability of health services. Participants believed that engaging with programs of physical activity, dietary modification, and illness support from family would motivate them to live more healthily. CONCLUSION Individuals with serious mental illnesses such as schizophrenia encounter physical health related problems, facilitators of lifestyle change behavior help them to adhere to change in their routine life. Lifestyle change interventions also motivate individuals to eat healthy diet and exercise regularly to prevent premature mortality.
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Affiliation(s)
- Sailaxmi Gandhi
- Dept of Nursing, National Institute of Mental Health and Neurosciences, Bengaluru
| | - Jothimani Gurusamy
- Dept of Nursing, National Institute of Mental Health and Neurosciences, Bengaluru.
| | - Dinakaran Damodharan
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru
| | | | - Marimuthu Palaniappan
- Dept of Biostatistics, National Institute of Mental Health and Neurosciences, Bengaluru
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19
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Bennett LL, Cohen AN, Young AS. Factors Associated With Weight Intervention Participation Among People With Serious Mental Illness. J Nerv Ment Dis 2018; 206:896-899. [PMID: 30371644 PMCID: PMC6209117 DOI: 10.1097/nmd.0000000000000892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Evidence-based practices effectively reduce weight in people with serious mental illness (SMI), yet participation is limited. Positive relationships between self-efficacy (SE), readiness to change (RtC), and subsequent participation in weight loss interventions have been demonstrated in the general population. The role of SE and RtC in predicting participation in individuals with SMI is explored. A total of 82 participants recruited from a county mental health clinic and a Veterans Affairs mental health clinic were randomly assigned to a weight management intervention or usual care. RtC and SE were assessed at baseline. Intervention participation rates were gathered. SE significantly correlated with intervention participation (p < 0.02). RtC did not predict significantly over and above SE. A linear combination of all measures was significantly related to participation (p < 0.05). To improve weight intervention participation by individuals with SMI, one direction may be to improve weight loss SE.
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Affiliation(s)
- Lauren L Bennett
- Neurology Section, Cleveland Clinic Luo Ruvo Center for Brain Health, Las Vegas, NV
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20
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Gurusamy J, Gandhi S, Damodharan D, Ganesan V, Palaniappan M. Exercise, diet and educational interventions for metabolic syndrome in persons with schizophrenia: A systematic review. Asian J Psychiatr 2018; 36:73-85. [PMID: 29990631 DOI: 10.1016/j.ajp.2018.06.018] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Revised: 05/30/2018] [Accepted: 06/26/2018] [Indexed: 01/10/2023]
Abstract
INTRODUCTION Individuals with major psychotic disorders such as schizophrenia are at increased risk for developing metabolic syndrome due to lifestyle- and treatment-related factors. Numerous interventions have been tested in inpatient and outpatient mental health settings to decrease risk factors. Diet and exercise represent the mainstay of weight loss treatment. With this background the review aimed to evaluate the effects of psychoeducation, diet and physical activity interventions on reduction of metabolic syndrome risk factors such as BMI, Body weight, biochemical profiles in schizophrenia. METHODS The authors conducted database searches of PsychINFO, MEDLINE, Pubmed, Proquest, EBSCO and the Cochrane Database of Systematic Reviews, and manual searches from 1968 to 2017. Search indentified 11 studies that met the inclusion criteria. Study quality was critically appraised by 2 reviewers using established criteria. The outcome measures were body mass index, body weight, waist circumference, lipid profile, fasting glucose. RESULTS Interventions led to significant weight reduction (8 studies), reduced body mass index (5 studies), decreased waist circumference (4 studies) and lower blood glucose levels (5 studies). Dietician and nurse led interventions (6 studies). The studies showed non pharmacological interventions were effective in reducing risk factors. CONCLUSION This review was able to demonstrate effectiveness of peychoeducation, diet and physical activity interventions were helpful to decrease and manage antipsychotic-induced weight gain. Results showed lifestyle interventions are safer and effective for promoting decrease or maintenance of weight and it can be delivered at low cost, safe and improves quality of life.
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Affiliation(s)
- Jothimani Gurusamy
- Department of Nursing, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Sailaxmi Gandhi
- Department of Nursing, National Institute of Mental Health and Neurosciences, Bangalore, India.
| | - Dinakaran Damodharan
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | | | - Marimuthu Palaniappan
- Department of Bioststatistics, National Institute of Mental Health and Neurosciences, Bangalore, India
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21
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Rönngren Y, Björk A, Haage D, Audulv Å, Kristiansen L. Perspectives of a tailored lifestyle program for people with severe mental illness receiving housing support. Perspect Psychiatr Care 2018; 54:309-316. [PMID: 28901554 DOI: 10.1111/ppc.12239] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Accepted: 08/06/2017] [Indexed: 11/30/2022] Open
Abstract
PURPOSE The purpose of the present study was to describe the acceptability of the lifestyle program PHYS/CAT and to get information about the tools used for assessment of functional exercise capacity, cognitive performance, and self-health-related quality of life. DESIGN AND METHODS The findings are based on focus groups and the researchers' experiences of conducting the program as well as using the assessment tools. FINDINGS The acceptability of the program and the assessment tools was mainly satisfactory. PRACTICE IMPLICATIONS The program with relational, educational, and supportive dimensions may be a promising tool to be integrated into daily nursing care.
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Affiliation(s)
- Ylva Rönngren
- Department of Nursing Sciences, Mid Sweden University, Sundsvall, Sweden
| | - Annette Björk
- Department of Health Sciences, Mid Sweden University, Sundsvall, Sweden
| | - David Haage
- Department of Nursing Sciences, Mid Sweden University, Sundsvall, Sweden
| | - Åsa Audulv
- Department of Nursing Sciences, Mid Sweden University, Sundsvall, Sweden
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22
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Janney CA, Masheb RM, Lutes LD, Holleman RG, Kim HM, Gillon LR, Damschroder LJ, Richardson CR. Mental health and behavioral weight loss: 24-month outcomes in Veterans. J Affect Disord 2017; 215:197-204. [PMID: 28340446 DOI: 10.1016/j.jad.2017.03.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2016] [Revised: 01/30/2017] [Accepted: 03/05/2017] [Indexed: 12/28/2022]
Abstract
BACKGROUND Individuals with mental health (MH) disorders have an increased risk of being overweight/obese; however research on behavioral weight loss interventions has been limited. A priori hypothesis was that Veterans with serious mental illness (SMI) and/or affective disorders (AD) would lose significantly less weight and have a different pattern of weight loss than Veterans without these diagnoses. METHODS Secondary data analysis of ASPIRE-VA study, three-arm randomized, effectiveness weight loss trial among Veterans (n=409) categorized by MH diagnoses: 1) SMI, 2) AD without SMI, or 3) No SMI/No AD. Linear mixed-effects model analyzed weight changes from baseline thru 24 months. RESULTS SMI and AD were diagnosed in 10% (n=41) and 31% (n=125). Participants attended approximately 15 sessions from baseline to 24 months. On average, participants lost a modest amount of weight over 24 months regardless of MH diagnosis. Longitudinally, no statistically significant differences were found in weight loss patterns by MH diagnosis. Unadjusted average weight loss (kg) was 1.6±4.0 at 3 months (n=373), 1.9±6.5 at 12 months (n=361), 1.5±7.8 at 18 months (n=289), and 1.4±8.0 at 24 months (n=279). LIMITATIONS ASPIRE-VA study was not designed or powered to detect weight loss differences among MH diagnostic groups. CONCLUSIONS Veterans achieved and maintained modest weight loss, through 24 months, with the three behavioral weight loss interventions. Contrary to our hypotheses, the amount and pattern of weight loss did not differ by MH diagnosis. Greater inclusion of individuals with MH diagnoses may be warranted in behavioral weight loss interventions not specifically tailored for them.
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Affiliation(s)
- Carol A Janney
- VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, 2215 Fuller Rd, Ann Arbor, MI 48105, United States; Michigan State University College of Human Medicine - Midland Regional Campus Center, 4611 Campus Ridge Drive, Midland, MI 48670, United States.
| | - Robin M Masheb
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States; VA Connecticut Healthcare System, PRIME Center/11ACSLG, 950 Campbell Avenue, West Haven, CT 06516, United States.
| | - Lesley D Lutes
- Department of Psychology, University of British Columbia Okanagan, 3187 University Way, Kelowna, BC, Canada V1V 1V7.
| | - Robert G Holleman
- VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, 2215 Fuller Rd, Ann Arbor, MI 48105, United States.
| | - Hyungjin Myra Kim
- VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, 2215 Fuller Rd, Ann Arbor, MI 48105, United States; Center for Statistical Consultation and Research, University of Michigan, Ann Arbor, MI, United States.
| | - Leah R Gillon
- VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, 2215 Fuller Rd, Ann Arbor, MI 48105, United States.
| | - Laura J Damschroder
- VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, 2215 Fuller Rd, Ann Arbor, MI 48105, United States.
| | - Caroline R Richardson
- VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, 2215 Fuller Rd, Ann Arbor, MI 48105, United States; Department of Family Medicine, University of Michigan School of Medicine, Ann Arbor, MI, United States.
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De Rosa C, Sampogna G, Luciano M, Del Vecchio V, Pocai B, Borriello G, Giallonardo V, Savorani M, Pinna F, Pompili M, Fiorillo A. Improving physical health of patients with severe mental disorders: a critical review of lifestyle psychosocial interventions. Expert Rev Neurother 2017; 17:667-681. [PMID: 28468528 DOI: 10.1080/14737175.2017.1325321] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
INTRODUCTION People with severe mental disorders have a mortality rate that is more than two times higher than the general population, with at least a decade of potential years of life lost. People with mental disorders have a significantly higher risk of obesity, hyperglycemia and metabolic syndrome, which are related to modifiable risk factors, such as heavy smoking, poor physical activities, and inappropriate unhealthy diet, which can be improved through lifestyle changes. Areas covered: Lifestyle behaviours are amenable to change through the adoption of specific psychosocial interventions, and several approaches have been promoted. In the present review, the authors aim to: 1) critically analyze studies involving multimodal lifestyle interventions; 2) discuss the way forward to integrate these interventions in clinical routine care. Expert commentary: The psychoeducational approaches developed for the improvement of healthy lifestyle behaviours differ for several aspects: 1) the format (individual vs. group); 2) the setting (outpatient vs. inpatient vs. home-based); 3) the professional characteristics of the staff running the intervention (psychiatrists or nurses or dietitians or psychologists); 4) the active ingredients of the intervention (education only or inclusion of motivational interview or of problem solving); 5) the duration of treatment (ranging from 3 months to 2 years).
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Affiliation(s)
- Corrado De Rosa
- a Department of Psychiatry , University of Naples SUN , Naples , Italy
| | - Gaia Sampogna
- a Department of Psychiatry , University of Naples SUN , Naples , Italy
| | - Mario Luciano
- a Department of Psychiatry , University of Naples SUN , Naples , Italy
| | | | - Benedetta Pocai
- a Department of Psychiatry , University of Naples SUN , Naples , Italy
| | | | | | - Micaela Savorani
- a Department of Psychiatry , University of Naples SUN , Naples , Italy
| | - Federica Pinna
- b Department of Public Health, Clinical and Molecular Medicine, Section of Psychiatry , University of Cagliari , Cagliari , Italy
| | - Maurizio Pompili
- c Department of Neurosciences, Mental Health and Sensory Organs, Suicide Prevention Centre , Sapienza University of Rome , Rome , Italy
| | - Andrea Fiorillo
- a Department of Psychiatry , University of Naples SUN , Naples , Italy
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24
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Frost BG, Tirupati S, Johnston S, Turrell M, Lewin TJ, Sly KA, Conrad AM. An Integrated Recovery-oriented Model (IRM) for mental health services: evolution and challenges. BMC Psychiatry 2017; 17:22. [PMID: 28095811 PMCID: PMC5240195 DOI: 10.1186/s12888-016-1164-3] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2016] [Accepted: 12/08/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Over past decades, improvements in longer-term clinical and personal outcomes for individuals experiencing serious mental illness (SMI) have been moderate, although recovery has clearly been shown to be possible. Recovery experiences are inherently personal, and recovery can be complex and non-linear; however, there are a broad range of potential recovery contexts and contributors, both non-professional and professional. Ongoing refinement of recovery-oriented models for mental health (MH) services needs to be fostered. DISCUSSION This descriptive paper outlines a service-wide Integrated Recovery-oriented Model (IRM) for MH services, designed to enhance personally valued health, wellbeing and social inclusion outcomes by increasing access to evidenced-based psychosocial interventions (EBIs) within a service context that supports recovery as both a process and an outcome. Evolution of the IRM is characterised as a series of five broad challenges, which draw together: relevant recovery perspectives; overall service delivery frameworks; psychiatric and psychosocial rehabilitation approaches and literature; our own clinical and service delivery experience; and implementation, evaluation and review strategies. The model revolves around the person's changing recovery needs, focusing on underlying processes and the service frameworks to support and reinforce hope as a primary catalyst for symptomatic and functional recovery. Within the IRM, clinical rehabilitation (CR) practices, processes and partnerships facilitate access to psychosocial EBIs to promote hope, recovery, self-agency and social inclusion. Core IRM components are detailed (remediation of functioning; collaborative restoration of skills and competencies; and active community reconnection), together with associated phases, processes, evaluation strategies, and an illustrative IRM scenario. The achievement of these goals requires ongoing collaboration with community organisations. CONCLUSIONS Improved outcomes are achievable for people with a SMI. It is anticipated that the IRM will afford MH services an opportunity to validate hope, as a critical element for people with SMI in assuming responsibility and developing skills in self-agency and advocacy. Strengthening recovery-oriented practices and policies within MH services needs to occur in tandem with wide-ranging service evaluation strategies.
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Affiliation(s)
- Barry G. Frost
- School of Psychology, Faculty of Science and Technology, University of Newcastle, Callaghan, NSW 2308 Australia ,Centre for Brain and Mental Health Research, Hunter New England Mental Health and the University of Newcastle, Callaghan, NSW 2308 Australia
| | - Srinivasan Tirupati
- Hunter New England Mental Health, Newcastle, NSW 2300 Australia ,School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW 2308 Australia
| | | | - Megan Turrell
- Hunter New England Mental Health, Newcastle, NSW 2300 Australia
| | - Terry J. Lewin
- Centre for Brain and Mental Health Research, Hunter New England Mental Health and the University of Newcastle, Callaghan, NSW 2308 Australia ,Hunter New England Mental Health, Newcastle, NSW 2300 Australia ,School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW 2308 Australia
| | - Ketrina A. Sly
- Centre for Brain and Mental Health Research, Hunter New England Mental Health and the University of Newcastle, Callaghan, NSW 2308 Australia ,Hunter New England Mental Health, Newcastle, NSW 2300 Australia ,School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW 2308 Australia
| | - Agatha M. Conrad
- Centre for Brain and Mental Health Research, Hunter New England Mental Health and the University of Newcastle, Callaghan, NSW 2308 Australia ,Hunter New England Mental Health, Newcastle, NSW 2300 Australia ,School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW 2308 Australia
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25
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Olker SJ, Parrott JS, Swarbrick MA, Spagnolo AB. Weight management interventions in adults with a serious mental illness: A meta-analytic review. American Journal of Psychiatric Rehabilitation 2016. [DOI: 10.1080/15487768.2016.1231643] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Stephen J. Olker
- Department of Psychiatric Rehabilitation and Counseling Professions, Rutgers University, Newark, New Jersey, USA
| | - James Scott Parrott
- Department of Interdisciplinary Studies, Rutgers University, Newark, New Jersey, USA
| | - Margaret A. Swarbrick
- Department of Psychiatric Rehabilitation and Counseling Professions, Rutgers University, Newark, New Jersey, USA
| | - Amy B. Spagnolo
- Department of Psychiatric Rehabilitation and Counseling Professions, Rutgers University, Newark, New Jersey, USA
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26
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Baxter AJ, Harris MG, Khatib Y, Brugha TS, Bien H, Bhui K. Reducing excess mortality due to chronic disease in people with severe mental illness: meta-review of health interventions. Br J Psychiatry 2016; 208:322-9. [PMID: 26941263 DOI: 10.1192/bjp.bp.115.163170] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2015] [Accepted: 09/21/2015] [Indexed: 12/22/2022]
Abstract
BACKGROUND People with severe mental illness (SMI) have high rates of chronic disease and premature death. AIMS To explore the strength of evidence for interventions to reduce risk of mortality in people with SMI. METHOD In a meta-review of 16 systematic reviews of controlled studies, mortality was the primary outcome (8 reviews). Physiological health measures (body mass index, weight, glucose levels, lipid profiles and blood pressure) were secondary outcomes (14 reviews). RESULTS Antipsychotic and antidepressant medications had some protective effect on mortality, subject to treatment adherence. Integrative community care programmes may reduce physical morbidity and excess deaths, but the effective ingredients are unknown. Interventions to improve unhealthy lifestyles and risky behaviours can improve risk factor profiles, but longer follow-up is needed. Preventive interventions and improved medical care for comorbid chronic disease may reduce excess mortality, but data are lacking. CONCLUSIONS Improved adherence to pharmacological and physical health management guidelines is indicated.
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Affiliation(s)
- Amanda J Baxter
- Amanda J. Baxter, PhD, Meredith G. Harris, MPH, MPASR, University of Queensland, School of Public Health, Herston, and Policy and Epidemiology Group, Queensland Centre for Mental Health, Wacol, Australia; Yasmin Khatib, PhD, Wolfson Institute of Preventive Medicine, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, UK; Traolach S. Brugha, MD, PhD, Department of Health Sciences, University of Leicester, Leicester General Hospital, Leicester, UK; Heidrun Bien, PhD, Kamaldeep Bhui, MD, Wolfson Institute of Preventive Medicine, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, UK
| | - Meredith G Harris
- Amanda J. Baxter, PhD, Meredith G. Harris, MPH, MPASR, University of Queensland, School of Public Health, Herston, and Policy and Epidemiology Group, Queensland Centre for Mental Health, Wacol, Australia; Yasmin Khatib, PhD, Wolfson Institute of Preventive Medicine, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, UK; Traolach S. Brugha, MD, PhD, Department of Health Sciences, University of Leicester, Leicester General Hospital, Leicester, UK; Heidrun Bien, PhD, Kamaldeep Bhui, MD, Wolfson Institute of Preventive Medicine, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, UK
| | - Yasmin Khatib
- Amanda J. Baxter, PhD, Meredith G. Harris, MPH, MPASR, University of Queensland, School of Public Health, Herston, and Policy and Epidemiology Group, Queensland Centre for Mental Health, Wacol, Australia; Yasmin Khatib, PhD, Wolfson Institute of Preventive Medicine, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, UK; Traolach S. Brugha, MD, PhD, Department of Health Sciences, University of Leicester, Leicester General Hospital, Leicester, UK; Heidrun Bien, PhD, Kamaldeep Bhui, MD, Wolfson Institute of Preventive Medicine, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, UK
| | - Traolach S Brugha
- Amanda J. Baxter, PhD, Meredith G. Harris, MPH, MPASR, University of Queensland, School of Public Health, Herston, and Policy and Epidemiology Group, Queensland Centre for Mental Health, Wacol, Australia; Yasmin Khatib, PhD, Wolfson Institute of Preventive Medicine, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, UK; Traolach S. Brugha, MD, PhD, Department of Health Sciences, University of Leicester, Leicester General Hospital, Leicester, UK; Heidrun Bien, PhD, Kamaldeep Bhui, MD, Wolfson Institute of Preventive Medicine, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, UK
| | - Heidrun Bien
- Amanda J. Baxter, PhD, Meredith G. Harris, MPH, MPASR, University of Queensland, School of Public Health, Herston, and Policy and Epidemiology Group, Queensland Centre for Mental Health, Wacol, Australia; Yasmin Khatib, PhD, Wolfson Institute of Preventive Medicine, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, UK; Traolach S. Brugha, MD, PhD, Department of Health Sciences, University of Leicester, Leicester General Hospital, Leicester, UK; Heidrun Bien, PhD, Kamaldeep Bhui, MD, Wolfson Institute of Preventive Medicine, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, UK
| | - Kamaldeep Bhui
- Amanda J. Baxter, PhD, Meredith G. Harris, MPH, MPASR, University of Queensland, School of Public Health, Herston, and Policy and Epidemiology Group, Queensland Centre for Mental Health, Wacol, Australia; Yasmin Khatib, PhD, Wolfson Institute of Preventive Medicine, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, UK; Traolach S. Brugha, MD, PhD, Department of Health Sciences, University of Leicester, Leicester General Hospital, Leicester, UK; Heidrun Bien, PhD, Kamaldeep Bhui, MD, Wolfson Institute of Preventive Medicine, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, UK
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27
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Bartlem K, Bowman J, Ross K, Freund M, Wye P, McElwaine K, Gillham K, Doherty E, Wolfenden L, Wiggers J. Mental health clinician attitudes to the provision of preventive care for chronic disease risk behaviours and association with care provision. BMC Psychiatry 2016; 16:57. [PMID: 26935328 PMCID: PMC4776348 DOI: 10.1186/s12888-016-0763-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2015] [Accepted: 02/24/2016] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Preventive care for chronic disease risk behaviours by mental health clinicians is sub-optimal. Little research has examined the association between clinician attitudes and such care delivery. This study aimed to explore: i) the attitudes of a multi-disciplinary group of community mental health clinicians regarding their perceived role, perception of client interest, and perceived self-efficacy in the provision of preventive care, ii) whether such attitudes differ by professional discipline, and iii) the association between these attitudes and clinician provision of such care. METHOD A telephone survey was conducted with 151 Australian community mental health clinicians regarding their attitudes towards provision of assessment, advice and referral addressing smoking, nutrition, alcohol, and physical activity, and their reported provision of such care. Logistic regression was used to examine the association between attitudes and care delivery, and attitudinal differences by professional discipline. RESULTS Most clinicians reported that: their manager supported provision of preventive care; such care was part of their role; it would not jeopardise their practitioner-client relationships, clients found preventive care acceptable, and that they had the confidence, knowledge and skills to modify client health behaviours. Half reported that clients were not interested in changing their health behaviours, and one third indicated that the provision of preventive care negatively impacted on time available for delivery of acute care. The following attitudes were positively associated with the provision of preventive care: role congruence, client interest in change, and addressing health risk behaviours will not jeopardise the client-clinician relationship. CONCLUSIONS Strategies are required to translate positive attitudes to improved client care and address attitudes which may hinder the provision of preventive care in community mental health.
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Affiliation(s)
- Kate Bartlem
- Population Health, Hunter New England Local Health District, Booth Building, Wallsend Health Services, Longworth Avenue, Wallsend, NSW, 2287, Australia. .,School of Psychology, Faculty of Science and Information Technology, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia. .,Hunter Medical Research Institute, Clinical Research Centre, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia.
| | - Jenny Bowman
- School of Psychology, Faculty of Science and Information Technology, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia. .,Hunter Medical Research Institute, Clinical Research Centre, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia.
| | - Kate Ross
- School of Psychology, Faculty of Science and Information Technology, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
| | - Megan Freund
- Hunter Medical Research Institute, Clinical Research Centre, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia. .,School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
| | - Paula Wye
- Population Health, Hunter New England Local Health District, Booth Building, Wallsend Health Services, Longworth Avenue, Wallsend, NSW, 2287, Australia. .,School of Psychology, Faculty of Science and Information Technology, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia. .,Hunter Medical Research Institute, Clinical Research Centre, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia. .,School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
| | - Kathleen McElwaine
- Hunter Medical Research Institute, Clinical Research Centre, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia. .,School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
| | - Karen Gillham
- Population Health, Hunter New England Local Health District, Booth Building, Wallsend Health Services, Longworth Avenue, Wallsend, NSW, 2287, Australia. .,Hunter Medical Research Institute, Clinical Research Centre, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia.
| | - Emma Doherty
- Population Health, Hunter New England Local Health District, Booth Building, Wallsend Health Services, Longworth Avenue, Wallsend, NSW, 2287, Australia. .,Hunter Medical Research Institute, Clinical Research Centre, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia.
| | - Luke Wolfenden
- Population Health, Hunter New England Local Health District, Booth Building, Wallsend Health Services, Longworth Avenue, Wallsend, NSW, 2287, Australia. .,Hunter Medical Research Institute, Clinical Research Centre, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia. .,School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
| | - John Wiggers
- Population Health, Hunter New England Local Health District, Booth Building, Wallsend Health Services, Longworth Avenue, Wallsend, NSW, 2287, Australia. .,Hunter Medical Research Institute, Clinical Research Centre, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia. .,School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
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Wärdig RE, Foldemo A, Hultsjö S, Lindström T, Bachrach-Lindström M. An Intervention with Physical Activity and Lifestyle Counseling Improves Health-Related Quality of Life and Shows Small Improvements in Metabolic Risks in Persons with Psychosis. Issues Ment Health Nurs 2016; 37:43-52. [PMID: 26818932 DOI: 10.3109/01612840.2015.1092187] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
This research studied the effects of a lifestyle intervention on health-related quality of life (HRQoL) and metabolic risk factors in persons with psychosis, using a longitudinal intervention design with a matched reference sample. In participants in the intervention group, scores on the EQ-VAS, which measured HRQoL, improved from 57.6 to 63.3 (SD = 17.8) (p = 0.05), and HDL cholesterol concentration increased from 1.03 to 1.11 (0.19) mmol/l. (p = 0.02). There was no significant change in body weight among participants. The results of this study indicate that a lifestyle intervention based on group meetings improves HRQoL in patients with psychosis and provides small improvements in metabolic risk factors.
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Affiliation(s)
- Rikard Erik Wärdig
- a Linköpings University , Department of Nursing Sciences, Department of Health and Sciences , Linköping , Sweden
| | - Anniqa Foldemo
- a Linköpings University , Department of Nursing Sciences, Department of Health and Sciences , Linköping , Sweden
| | - Sally Hultsjö
- b Jönköping University , School of Welfare , Jönköping , Sweden
| | - Torbjörn Lindström
- c Linköpings University , Department of Internal Medicine and Health Sciences , Linköping , Sweden
| | - Margareta Bachrach-Lindström
- a Linköpings University , Department of Nursing Sciences, Department of Health and Sciences , Linköping , Sweden
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McGinty EE, Baller J, Azrin ST, Juliano-Bult D, Daumit GL. Interventions to Address Medical Conditions and Health-Risk Behaviors Among Persons With Serious Mental Illness: A Comprehensive Review. Schizophr Bull 2016; 42. [PMID: 26221050 PMCID: PMC4681556 DOI: 10.1093/schbul/sbv101] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
People with serious mental illness (SMI) have mortality rates 2 to 3 times higher than the overall US population, largely due to cardiovascular disease. The prevalence of cardiovascular risk factors such as obesity and diabetes mellitus and other conditions, such as HIV/AIDS, is heightened in this group. Based on the recommendations of a National Institute of Mental Health stakeholder meeting, we conducted a comprehensive review examining the strength of the evidence surrounding interventions to address major medical conditions and health-risk behaviors among persons with SMI. Peer-reviewed studies were identified using 4 major research databases. Randomized controlled trials and observational studies testing interventions to address medical conditions and risk behaviors among persons with schizophrenia and bipolar disorder between January 2000 and June 2014 were included. Information was abstracted from each study by 2 trained reviewers, who also rated study quality using a standard tool. Following individual study review, the quality of the evidence (high, medium, low) and the effectiveness of various interventions were synthesized. 108 studies were included. The majority of studies examined interventions to address overweight/obesity (n = 80). The strength of the evidence was high for 4 interventions: metformin and behavioral interventions had beneficial effects on weight loss; and bupropion and varenicline reduced tobacco smoking. The strength of the evidence was low for most other interventions reviewed. Future studies should test long-term interventions to cardiovascular risk factors and health-risk behaviors. In addition, future research should study implementation strategies to effectively translate efficacious interventions into real-world settings.
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Affiliation(s)
- Emma E. McGinty
- Departments of Health Policy and Management and Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD;,*To whom correspondence should be addressed; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Room 359, Baltimore, MD 21205, US; tel: 410-614-4018, e-mail:
| | - Julia Baller
- Departments of Health Policy and Management and Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | | | | | - Gail L. Daumit
- Division of General Internal Medicine, Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, MD
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Abstract
Worldwide, obesity rates have more than doubled during the past three decades. Women experience twice the obesity prevalence as men, and women of color, with less education, and in lower income levels disproportionately affected. Obesity and its comorbidities result in considerable economic burdens for the individual and society. Given the widespread prevalence of obesity, the potential effect on individual and population health, and associated costs, policy solutions targeting obesity prevention and interventions must be explored.
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Stumbo SP, Yarborough BJ, Yarborough MT, Janoff SL, Stevens VJ, Lewinsohn M, Green CA. Costs of implementing a behavioral weight-loss and lifestyle-change program for individuals with serious mental illnesses in community settings. Transl Behav Med 2015; 5:269-76. [PMID: 26327932 DOI: 10.1007/s13142-015-0322-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
Abstract
Little research has examined costs of adopting a successful lifestyle intervention for people with serious mental illnesses in community clinics. The study aims to calculate the real-world costs of implementing a group-based weight-loss and lifestyle intervention in community settings. We used empirically derived costs to estimate implementation costs and conducted sensitivity analyses to estimate costs: (1) when implementing the intervention in high/low resource-intensive environments and (2) assuming variability in participant enrollment. To implement the STRIDE program for 15 individuals with serious mental illnesses, we estimated costs for the 12-month (30-session) intervention, with materials available in the public domain, at $16,427 or $1095 per participant. The majority of costs, $12,767, were associated with direct labor costs. Replication costs are largely associated with labor. Community health centers offer an untapped resource for implementing behavioral-lifestyle interventions, particularly under the Affordable Care Act, though additional payment reforms or incentives may be needed.
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Cabassa LJ, Stefancic A, O'Hara K, El-Bassel N, Lewis-Fernández R, Luchsinger JA, Gates L, Younge R, Wall M, Weinstein L, Palinkas LA. Peer-led healthy lifestyle program in supportive housing: study protocol for a randomized controlled trial. Trials 2015; 16:388. [PMID: 26329472 PMCID: PMC4557630 DOI: 10.1186/s13063-015-0902-z] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2015] [Accepted: 08/05/2015] [Indexed: 01/28/2023] Open
Abstract
Background The risk for obesity is twice as high in people with serious mental illness (SMI) compared to the general population. Racial and ethnic minority status contribute additional health risks. The aim of this study is to describe the protocol of a Hybrid Trial Type 1 design that will test the effectiveness and examine the implementation of a peer-led healthy lifestyle intervention in supportive housing agencies serving diverse clients with serious mental illness who are overweight or obese. Methods The Hybrid Trial Type 1 design will combine a randomized effectiveness trial with a mixed-methods implementation study. The effectiveness trial will test the health impacts of a peer-led healthy lifestyle intervention versus usual care in supportive housing agencies. The healthy lifestyle intervention is derived from the Group Lifestyle Balanced Program, lasts 12 months, and will be delivered by trained peer specialists. Repeated assessments will be conducted at baseline and at 6, 12, and 18 months post randomization. A mixed-methods (e.g., structured interviews, focus groups, surveys) implementation study will be conducted to examine multi-level implementation factors and processes that can inform the use of the healthy lifestyle intervention in routine practice, using data from agency directors, program managers, staff, and peer specialists before, during, and after the implementation of the effectiveness trial. Discussion This paper describes the use of a hybrid research design that blends effectiveness trial methodologies and implementation science rarely used when studying the physical health of people with SMI and can serve as a model for integrating implementation science and health disparities research. Rigorously testing effectiveness and exploring the implementation process are both necessary steps to establish the evidence for large-scale delivery of peer-led healthy lifestyle intervention to improve the physical health of racial/ethnic minorities with SMI. Trial registration www.clinicaltrials.gov; NCT02175641, registered 24 June 2014
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Affiliation(s)
- Leopoldo J Cabassa
- Columbia University School of Social Work, 1255 Amsterdam Avenue, New York, NY, 10027, USA.
| | - Ana Stefancic
- Columbia University School of Social Work, 1255 Amsterdam Avenue, New York, NY, 10027, USA.
| | - Kathleen O'Hara
- Columbia University School of Social Work, 1255 Amsterdam Avenue, New York, NY, 10027, USA.
| | - Nabila El-Bassel
- Columbia University School of Social Work, 1255 Amsterdam Avenue, New York, NY, 10027, USA.
| | | | - José A Luchsinger
- Columbia University Medical Center, Presbyterian Hospital, 622 West 168th St, New York, NY, 10032, USA.
| | - Lauren Gates
- Columbia University School of Social Work, 1255 Amsterdam Avenue, New York, NY, 10027, USA.
| | - Richard Younge
- New York Presbyterian, Family Medicine, 610 West 158th St, New York, NY, 10032, USA.
| | - Melanie Wall
- New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY, 10032, USA.
| | - Lara Weinstein
- Jefferson University Hospital, 833 Chestnut Street, Philadelphia, PA, 19107, USA.
| | - Lawrence A Palinkas
- University of Southern California School of Social Work, University Park, Los Angeles, CA, 90089, USA.
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Aschbrenner K, Mueser K, Bartels S, Carpenter-Song E, Pratt S, Barre L, Naslund J, Kinney A. The other 23 hours: a qualitative study of fitness provider perspectives on social support for health promotion for adults with mental illness. Health Soc Work 2015; 40:91-9. [PMID: 26027417 PMCID: PMC4462649 DOI: 10.1093/hsw/hlv006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2013] [Revised: 11/09/2013] [Accepted: 12/18/2013] [Indexed: 05/26/2023]
Abstract
Current efforts to reduce the increased risk of premature death from preventable cardiovascular disease among adults with serious mental illness (SMI) through lifestyle change have had limited success. Engaging informal support systems to promote healthy behaviors in everyday life may increase the effectiveness of health promotion interventions targeting this at-risk population. In-depth semistructured interviews were conducted with 10 fitness trainers serving adults with SMI in a health promotion program at community mental health centers to explore their perspectives on the potential of enlisting support from significant others for health behavior change. Trainers reported that the majority of participants had a relative or significant other who influenced their health behaviors, and they saw potential value in involving them in efforts to improve health outcomes by extending support into participants' daily lives. They did not feel qualified to work with families of individuals with mental illness, but they were willing to partner with providers who had experience in this area. Social workers who practice with families could play a critical role on health promotion teams addressing cardiovascular risk in adults with SMI by using their skills and experiences to engage families in supporting a relative through the process of health behavior change.
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Hilton NZ, Ham E, Lang C, Harris GT. Weight Gain and Its Correlates Among Forensic Inpatients. Can J Psychiatry 2015; 60:232-8. [PMID: 26174527 PMCID: PMC4484692 DOI: 10.1177/070674371506000505] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2014] [Accepted: 07/01/2014] [Indexed: 12/13/2022]
Abstract
OBJECTIVE We investigated changes in weight, body mass index (BMI), and other indices of the metabolic syndrome in forensic inpatients. Weight gain associated with newer antipsychotics (APs) is well established in the general psychiatric population. METHODS We examined the medical records of 291 men admitted to a forensic hospital at admission and again at discharge or 365 days later if still in hospital. We also recorded diagnosis and smoker status on admission and quantified psychotropic treatment and adherence, physical activity, and daytime occupation during the hospitalization. RESULTS On admission, 33% were obese and 22% of the 106 patients for whom sufficient data were available met criteria for metabolic syndrome. Among patients staying at least 30 days, 60% were weighed again before discharge but repeated blood pressure and waist circumference measures were uncommon, even among those at greatest risk. The 122 forensic inpatients with sufficient information gained an average of 12% of their body weight and 40% increased by at least 1 BMI category, gaining an average of 3.67 kg per month. Weight gain was associated with duration of time and was not attributable to being underweight on admission, diagnosis of schizophrenia, atypical AP treatment, medication adherence, or having been a smoker. CONCLUSIONS Patients gained weight during forensic hospitalization independent of medication use. We recommend further research using consistent measurement and wider sampling of both metabolic syndrome indicators and its individual and systemic causes in forensic populations.
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Affiliation(s)
- N Zoe Hilton
- Associate Professor, Department of Psychiatry, University of Toronto, Toronto, Ontario; Senior Research Scientist, Waypoint Research Institute, Penetanguishene, Ontario
| | - Elke Ham
- Research Psychometrist, Waypoint Research Institute, Penetanguishene, Ontario
| | - Carol Lang
- Research Psychometrist, Waypoint Research Institute, Penetanguishene, Ontario
| | - Grant T Harris
- (Adjunct) Associate Professor, Department of Psychology, Queen’s University, Kingston, Ontario; (Adjunct) Associate Professor, Department of Psychiatry, University of Toronto, Toronto, Ontario
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Bartels SJ, Pratt SI, Aschbrenner KA, Barre LK, Naslund JA, Wolfe R, Xie H, McHugo GJ, Jimenez DE, Jue K, Feldman J, Bird BL. Pragmatic replication trial of health promotion coaching for obesity in serious mental illness and maintenance of outcomes. Am J Psychiatry 2015; 172:344-52. [PMID: 25827032 PMCID: PMC4537796 DOI: 10.1176/appi.ajp.2014.14030357] [Citation(s) in RCA: 112] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Few studies targeting obesity in serious mental illness have reported clinically significant risk reduction, and none have been replicated in community settings or demonstrated sustained outcomes after intervention withdrawal. The authors sought to replicate positive health outcomes demonstrated in a previous randomized effectiveness study of the In SHAPE program across urban community mental health organizations serving an ethnically diverse population. METHOD Persons with serious mental illness and a body mass index (BMI) >25 receiving services in three community mental health organizations were recruited and randomly assigned either to the 12-month In SHAPE program, which included membership in a public fitness club and weekly meetings with a health promotion coach, or to fitness club membership alone. The primary outcome measures were weight and cardiorespiratory fitness (as measured with the 6-minute walk test), assessed at baseline and at 3, 6, 9, 12, and 18 months. RESULTS Participants (N=210) were ethnically diverse (46% were nonwhite), with a mean baseline BMI of 36.8 (SD=8.2). At 12 months, the In SHAPE group (N=104) had greater reduction in weight and improved fitness compared with the fitness club membership only group (N=106). Primary outcomes were maintained at 18 months. Approximately half of the In SHAPE group (51% at 12 months and 46% at 18 months) achieved clinically significant cardiovascular risk reduction (a weight loss ≥5% or an increase of >50 meters on the 6-minute walk test). CONCLUSIONS This is the first replication study confirming the effectiveness of a health coaching intervention in achieving and sustaining clinically significant reductions in cardiovascular risk for overweight and obese persons with serious mental illness.
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Lederbogen F, Schwarz P, Häfner S, Schweiger U, Bohus M, Deuschle M. Kardiale und metabolische Risikofaktoren bei schweren psychischen Erkrankungen: Aufgaben eines Präventionsmanagers. Nervenarzt 2015; 86:866-71. [DOI: 10.1007/s00115-014-4232-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Bruins J, Jörg F, Bruggeman R, Slooff C, Corpeleijn E, Pijnenborg M. The effects of lifestyle interventions on (long-term) weight management, cardiometabolic risk and depressive symptoms in people with psychotic disorders: a meta-analysis. PLoS One 2014; 9:e112276. [PMID: 25474313 PMCID: PMC4256304 DOI: 10.1371/journal.pone.0112276] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2014] [Accepted: 10/04/2014] [Indexed: 12/21/2022] Open
Abstract
AIMS The aim of this study was to estimate the effects of lifestyle interventions on bodyweight and other cardiometabolic risk factors in people with psychotic disorders. Additionally, the long-term effects on body weight and the effects on depressive symptoms were examined. MATERIAL AND METHODS We searched four databases for randomized controlled trials (RCTs) that compared lifestyle interventions to control conditions in patients with psychotic disorders. Lifestyle interventions were aimed at weight loss or weight gain prevention, and the study outcomes included bodyweight or metabolic parameters. RESULTS The search resulted in 25 RCTs -only 4 were considered high quality- showing an overall effect of lifestyle interventions on bodyweight (effect size (ES) = -0.63, p<0.0001). Lifestyle interventions were effective in both weight loss (ES = -0.52, p<0.0001) and weight-gain-prevention (ES = -0.84, p = 0.0002). There were significant long-term effects, two to six months post-intervention, for both weight-gain-prevention interventions (ES = -0.85, p = 0.0002) and weight loss studies (ES = -0.46, p = 0.02). Up to ten studies reported on cardiometabolic risk factors and showed that lifestyle interventions led to significant improvements in waist circumference, triglycerides, fasting glucose and insulin. No significant effects were found for blood pressure and cholesterol levels. Four studies reported on depressive symptoms and showed a significant effect (ES = -0.95, p = 0.05). CONCLUSION Lifestyle interventions are effective in treating and preventing obesity, and in reducing cardiometabolic risk factors. However, the quality of the studies leaves much to be desired.
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Affiliation(s)
- Jojanneke Bruins
- University of Groningen, University Medical Center Groningen, University Center Psychiatry, Rob Giel Research center, Groningen, The Netherlands
| | - Frederike Jörg
- University of Groningen, University Medical Center Groningen, University Center Psychiatry, Rob Giel Research center, Groningen, The Netherlands
- Friesland Mental Health Services, Research Department, Leeuwarden, Friesland, The Netherlands
| | - Richard Bruggeman
- University of Groningen, University Medical Center Groningen, University Center Psychiatry, Rob Giel Research center, Groningen, The Netherlands
| | - Cees Slooff
- University of Groningen, University Medical Center Groningen, University Center Psychiatry, Rob Giel Research center, Groningen, The Netherlands
- GGZ Drenthe, Department of Psychotic Disorders, Assen, Drenthe, The Netherlands
| | - Eva Corpeleijn
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, The Netherlands
| | - Marieke Pijnenborg
- GGZ Drenthe, Department of Psychotic Disorders, Assen, Drenthe, The Netherlands
- University of Groningen, Department of Clinical Psychology and Experimental Psychopathology, Groningen, The Netherlands
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Abstract
ACCESSIBLE SUMMARY ● People with severe mental illnesses (SMIs) suffer from health inequities and have a higher mortality rate, resulting from a sedentary lifestyle and a high prevalence of undiagnosed and untreated metabolic and cardiovascular risk factors. Cognitive deficits due to SMI symptoms may affect their ability to engage in a healthier lifestyle. ● Programmes for a healthier lifestyle with physical activity components may improve mental and physical health for people with SMIs. In order to increase physical activity among this population, a new approach was developed as an integrated part of daily care. ● This programme included a cognitive support in the shape of cognitive adaptation training (CAT) in order to address cognitive impairments, and provided education and individualized support in natural nursing environments to help individuals engage in physical activity (PHYS) and dietary changes (PHYS/CAT). ABSTRACT People with severe mental illness (SMIs) are more prone to physical illnesses, increased mortality and cognitive impairments, all of which negatively influence their daily lives. Physical activity (PHYS) programmes have helped alleviate SMI. LIFEHOPE is an ongoing research project with the purpose of developing a sustainable lifestyle intervention for physical and mental health. PHYS/cognitive adaptation training (CAT) is a newly created lifestyle intervention that provides group education and is based on CAT. It provides individualized support for PHYS and dietary change in a natural nursing environment. The aim of this study was to obtain further knowledge for developing a sustainable lifestyle programme by exploring psychiatric clients' experiences with PHYS and lifestyle habits, which we did by interviewing a local reference group, community mental healthcare users and community mental healthcare workers. Then, we developed a lifestyle programme for people with SMI using information obtained from these focus group interviews. Our results suggest that there is a need for support and education, as well as active interventions, in carrying out PHYS and dietary changes among people with SMIs, and the PHYS/CAT may be a useful strategy.
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Affiliation(s)
- Y M Rönngren
- Department of Nursing, Mid Sweden University, Sundsvall, Sweden
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Verhaeghe N, De Smedt D, De Maeseneer J, Maes L, Van Heeringen C, Annemans L. Cost-effectiveness of health promotion targeting physical activity and healthy eating in mental health care. BMC Public Health 2014; 14:856. [PMID: 25134636 DOI: 10.1186/1471-2458-14-856] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2014] [Accepted: 07/17/2014] [Indexed: 12/17/2022] Open
Abstract
Background There is a higher prevalence of obesity in individuals with mental disorders compared to the general population. The results of several studies suggested that weight reduction in this population is possible following psycho-educational and/or behavioural weight management interventions. Evidence of the effectiveness alone is however inadequate for policy making. The aim of the current study was to evaluate the cost-effectiveness of a health promotion intervention targeting physical activity and healthy eating in individuals with mental disorders. Methods A Markov decision-analytic model using a public payer perspective was applied, projecting the one-year results of a 10-week intervention over a time horizon of 20 years, assuming a repeated yearly implementation of the programme. Scenario analysis was applied evaluating the effects on the results of alternative modelling assumptions. One-way sensitivity analysis was performed to assess the effects on the results of varying key input parameters. Results An incremental cost-effectiveness ratio of 27,096€/quality-adjusted life years (QALY) in men, and 40,139€/QALY in women was found in the base case. Scenario analysis assuming an increase in health-related quality of life as a result of the body mass index decrease resulted in much better cost-effectiveness in both men (3,357€/QALY) and women (3,766€/QALY). The uncertainty associated with the intervention effect had the greatest impact on the model. Conclusions As far as is known to the authors, this is the first health economic evaluation of a health promotion intervention targeting physical activity and healthy eating in individuals with mental disorders. Such research is important as it provides payers and governments with better insights how to spend the available resources in the most efficient way. Further research examining the cost-effectiveness of health promotion targeting physical activity and healthy eating in individuals with mental disorders is required.
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Morgan VA, McGrath JJ, Jablensky A, Badcock JC, Waterreus A, Bush R, Carr V, Castle D, Cohen M, Galletly C, Harvey C, Hocking B, McGorry P, Neil AL, Saw S, Shah S, Stain HJ, Mackinnon A. Psychosis prevalence and physical, metabolic and cognitive co-morbidity: data from the second Australian national survey of psychosis. Psychol Med 2014; 44:2163-76. [PMID: 24365456 PMCID: PMC4045165 DOI: 10.1017/s0033291713002973] [Citation(s) in RCA: 139] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2013] [Revised: 11/05/2013] [Accepted: 11/09/2013] [Indexed: 12/15/2022]
Abstract
BACKGROUND There are insufficient data from nationwide surveys on the prevalence of specific psychotic disorders and associated co-morbidities. METHOD The 2010 Australian national psychosis survey used a two-phase design to draw a representative sample of adults aged 18-64 years with psychotic disorders in contact with public treatment services from an estimated resident population of 1 464 923 adults. This paper is based on data from 1642 participants with an International Classification of Diseases (ICD)-10 psychotic disorder. Its aim is to present estimates of treated prevalence and lifetime morbid risk of psychosis, and to describe the cognitive, physical health and substance use profiles of participants. RESULTS The 1-month treated prevalence of psychotic disorders was 3.10 cases per 1000 population aged 18-64 years, not accounting for people solely accessing primary care services; lifetime morbid risk was 3.45 per 1000. Mean premorbid intelligence quotient was approximately 0.5 s.d.s below the population mean; current cognitive ability (measured with a digit symbol coding task) was 1.6 s.d.s below the population mean. For both cognitive tests, higher scores were significantly associated with better independent functioning. The prevalence of the metabolic syndrome was high, affecting 60.8% of participants, and pervasive across diagnostic groups. Of the participants, two-thirds (65.9%) were current smokers, 47.4% were obese and 32.4% were sedentary. Of the participants, half (49.8%) had a lifetime history of alcohol abuse/dependence and 50.8% lifetime cannabis abuse/dependence. CONCLUSIONS Our findings highlight the need for comprehensive, integrative models of recovery to maximize the potential for good health and quality of life for people with psychotic illness.
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Affiliation(s)
- V. A. Morgan
- Neuropsychiatric Epidemiology Research Unit, School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Crawley, WA, Australia
- Centre for Clinical Research in Neuropsychiatry, School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Crawley, WA, Australia
| | - J. J. McGrath
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Queensland Centre for Mental Health Research, Brisbane, QLD, Australia
| | - A. Jablensky
- Centre for Clinical Research in Neuropsychiatry, School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Crawley, WA, Australia
| | - J. C. Badcock
- School of Psychology, The University of Western Australia, Crawley, Western Australia
- Clinical Research Centre, North Metropolitan Health Service-Mental Health, Mount Claremont, WA, Australia
| | - A. Waterreus
- Neuropsychiatric Epidemiology Research Unit, School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Crawley, WA, Australia
| | - R. Bush
- School of Population Health, The University of Queensland, Ipswich, QLD, Australia
| | - V. Carr
- School of Psychiatry, The University of New South Wales, Sydney, NSW, Australia
- Schizophrenia Research Institute, Sydney, NSW, Australia
| | - D. Castle
- Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
- St Vincent's Hospital, Melbourne, VIC, Australia
| | - M. Cohen
- Hunter New England Mental Health, Newcastle, NSW, Australia
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
| | - C. Galletly
- School of Medicine, University of Adelaide, Adelaide, SA, Australia
- Ramsay Health Care (SA) Mental Health Services, Adelaide, SA, Australia
- Northern Sector, Adelaide Metro Mental Health Directorate, Adelaide, SA, Australia
| | - C. Harvey
- Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
- Psychosocial Research Centre, North West Area Mental Health Services, Coburg, VIC, Australia
| | - B. Hocking
- SANE Australia, Melbourne, VIC, Australia
| | - P. McGorry
- Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
- Orygen Youth Health Research Centre, Melbourne, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - A. L. Neil
- Menzies Research Institute Tasmania, University of Tasmania, Hobart, Australia
| | - S. Saw
- Australian Government Department of Health and Ageing, Canberra, ACT, Australia
| | - S. Shah
- Neuropsychiatric Epidemiology Research Unit, School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Crawley, WA, Australia
| | - H. J. Stain
- Centre for Rural and Remote Mental Health, University of Newcastle, Newcastle, NSW, Australia
- School of Medicine, Pharmacy and Health, Durham University, Durham, UK
| | - A. Mackinnon
- Orygen Youth Health Research Centre, Melbourne, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
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Blanchard E, Samaras K. Double jeopardy: diabetes and severe mental illness. Addressing the special needs of this vulnerable group. ACTA ACUST UNITED AC 2014. [DOI: 10.2217/dmt.14.24] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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O'Brien C, Gardner-Sood P, Corlett SK, Ismail K, Smith S, Atakan Z, Greenwood K, Joseph C, Gaughran F. Provision of health promotion programmes to people with serious mental illness: a mapping exercise of four South London boroughs. J Psychiatr Ment Health Nurs 2014; 21:121-7. [PMID: 23676123 DOI: 10.1111/jpm.12057] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/17/2013] [Indexed: 11/29/2022]
Abstract
BACKGROUND People with serious mental illness (SMI) are at increased risk of developing various physical health diseases, contributing to significantly reduced life expectancies compared with the general population. In light of this, the Department of Health have set the physical health of people with mental health problems as a priority for improvement. Additionally, the UK government encourages the NHS and local authorities to develop health promotion programmes (HPPs) for people with SMI. AIMS To document how many and what types of HPPs were available to people with SMI across four South London boroughs, UK. RESULTS We found 145 HPPs were available to people with SMI across the four boroughs, but with an inequitable distribution. We also found that certain HPPs set admission criteria that were likely to act as a barrier to improving health. CONCLUSIONS A more integrated approach of documenting and providing information regarding the provision of HPPs for or inclusive of people with SMI is needed. ABSTRACT People with serious mental illness (SMI) such as schizophrenia, schizoaffective disorders and bipolar disorder are at increased risk of developing diabetes, cardiovascular disease and respiratory disease, contributing to significantly reduced life expectancies. As a result, emphasis has been placed on developing Health Promotion Programmes (HPPs) to modify the risk of poor physical health in SMI. We examined how many and what types of HPPs are available for or inclusive of people with SMI across four borough in South London, UK. A cross-sectional mapping study was carried out to identify the number of HPPs available to people with SMI. We found 145 HPPs available to people with SMI existed across the four boroughs but with an inequitable distribution, which in some boroughs we anticipate may not meet need. In some cases, HPPs set admission conditions which were likely to further impede access. We recommend that accurate and readily available information on the provision of HPPs for or inclusive of people with SMI is needed.
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Affiliation(s)
- C O'Brien
- Department of Psychosis Studies, King's College London, London
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Temmingh H, Claassen A, van Zyl S, Carrara H, Dayakalashe NM, Myer L, Stein DJ. The evaluation of a telephonic wellness coaching intervention for weight reduction and wellness improvement in a community-based cohort of persons with serious mental illness. J Nerv Ment Dis 2013; 201:977-86. [PMID: 24177486 DOI: 10.1097/NMD.0000000000000036] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Obesity and metabolic disturbances frequently occur in individuals with psychiatric disorders. This study evaluates a telephonically delivered lifestyle coaching intervention aimed at weight reduction and wellness improvement in psychiatric outpatients. A cohort of 761 participants was prospectively followed up for a period of 12 months. Lifestyle coaching was administered telephonically on a weekly basis for the first 3 months and monthly thereafter. During the study period, there was a significant reduction in weight and waist circumference as well as a significant increase in general health in the completer group. A total of 46% of the participants lost 5% or more of their baseline weight. Significant predictors of attrition at baseline were the presence of metabolic syndrome, younger age, chronic illness, and the diagnosis of a mood disorder. Dropout was significantly less in those participants who received support from a nominated caregiver. Telephonic lifestyle coaching is feasible in this population.
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Park AL, McDaid D, Weiser P, Von Gottberg C, Becker T, Kilian R. Examining the cost effectiveness of interventions to promote the physical health of people with mental health problems: a systematic review. BMC Public Health 2013; 13:787. [PMID: 23988266 PMCID: PMC3765875 DOI: 10.1186/1471-2458-13-787] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2013] [Accepted: 08/16/2013] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Recently attention has begun to focus not only on assessing the effectiveness of interventions to tackle mental health problems, but also on measures to prevent physical co-morbidity. Individuals with mental health problems are at significantly increased risk of chronic physical health problems, such as cardiovascular disease or diabetes, as well as reduced life expectancy. The excess costs of co-morbid physical and mental health problems are substantial. Potentially, measures to reduce the risk of co-morbid physical health problems may represent excellent value for money. METHODS To conduct a systematic review to determine what is known about economic evaluations of actions to promote better physical health in individuals identified as having a clinically diagnosed mental disorder, but no physical co-morbidity. Systematic searches of databases were supplemented by hand searches of relevant journals and websites. RESULTS Of 1970 studies originally assessed, 11 met our inclusion criteria. In addition, five protocols for other studies were also identified. Studies looked at exercise programmes, nutritional advice, smoking, alcohol and drug cessation, and reducing the risk of blood borne infectious diseases such as HIV/AIDS and hepatitis. All of the lifestyle and smoking cessation studies focused on people with depression and anxiety disorders. Substance abuse and infectious disease prevention studies focused on people with psychoses and bipolar disorder. CONCLUSIONS There is a very small, albeit growing, literature on the cost effectiveness of interventions to promote the physical health of people with mental health problems. Most studies suggest that value for money actions in specific contexts and settings are available. Given that the success or failure of health promoting interventions can be very context specific, more studies are needed in more settings, focused on different population groups with different mental health problems and reporting intermediate and long term outcomes. There is a need to better distinguish between resource use and costs in a transparent manner, including impacts outside of the health care system. Issues such as programme fidelity, uptake and adherence should also be accounted for in economic analysis. The role of behavioural psychological techniques to influence health behaviours might also be considered.
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Affiliation(s)
- A-La Park
- Personal Social Services Research Unit, London School of Economics and Political Science, London, UK.
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45
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Bartels SJ, Pratt SI, Aschbrenner KA, Barre LK, Jue K, Wolfe RS, Xie H, McHugo G, Santos M, Williams GE, Naslund JA, Mueser KT. Clinically significant improved fitness and weight loss among overweight persons with serious mental illness. Psychiatr Serv 2013; 64:729-36. [PMID: 23677386 PMCID: PMC5662189 DOI: 10.1176/appi.ps.003622012] [Citation(s) in RCA: 131] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE The objective of this study was to evaluate the effectiveness of a fitness health mentor program (In SHAPE) in improving physical fitness and weight loss among overweight and obese adults with serious mental illness. METHODS A randomized controlled trial was conducted with 133 persons with serious mental illness and a body mass index (BMI) >25 who were assigned either to the In SHAPE program (one year of weekly sessions with a fitness trainer plus a fitness club membership) or to one year of fitness club membership and education. Assessments were conducted at baseline and three, six, nine, and 12 months later. RESULTS Participants had a mean baseline weight of 231.8±54.8 pounds and a mean BMI of 37.6±8.2. At 12-month follow-up, In SHAPE (N=67) compared with fitness club membership and education (N=66) was associated with three times greater fitness club attendance, twice as much participation in physical exercise, greater engagement in vigorous physical activity, and improvement in diet. Twice the proportion of participants (40% versus 20%) achieved clinically significant improvement in cardiorespiratory fitness (>50 m on the six-minute walk test). Weight loss and BMI did not differ between groups. Among In SHAPE participants, 49% achieved either clinically significant increased fitness or weight loss (5% or greater), and 24% achieved both clinically significant improved fitness and weight loss. CONCLUSIONS The In SHAPE program achieved clinically significant reduction in cardiovascular risk for almost one-half of participants at 12 months. Although the intervention showed promise in improving fitness, optimizing weight loss may require additional intensive, multicomponent dietary interventions.
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Affiliation(s)
- Stephen J Bartels
- Department of Psychiatry, Geisel School of Medicine at Dartmouth, 46 Centerra Parkway, Suite 200, Lebanon, NH 03766, USA.
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46
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Verhaeghe N, Clays E, Vereecken C, De Maeseneer J, Maes L, Van Heeringen C, De Bacquer D, Annemans L. Health promotion in individuals with mental disorders: a cluster preference randomized controlled trial. BMC Public Health 2013; 13:657. [PMID: 23855449 PMCID: PMC3721998 DOI: 10.1186/1471-2458-13-657] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2012] [Accepted: 07/11/2013] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND The existing literature on weight management interventions targeting physical activity and healthy eating in mental health care appears to provide only limited evidence. The aim of the study was to examine the effectiveness of a 10-week health promotion intervention, followed by a 6-month follow-up period in individuals with mental disorders living in sheltered housing in the Flanders region (Belgium). METHODS The study had a cluster preference randomized controlled design. Twenty-five sheltered housing organisations agreed to participate (16 in the intervention group, nine in the control group). In the intervention group, 225 individuals agreed to participate, while in the control group 99 individuals entered into the study. The main outcomes were changes in body weight, Body Mass Index, waist circumference and fat mass. Secondary outcomes consisted of changes in physical activity levels, eating habits, health-related quality of life and psychiatric symptom severity. RESULTS A significant difference was found between the intervention group and the control group regarding body weight (-0.35 vs. +0.22 kg; p=0.04), Body Mass Index (-0.12 vs. +0.08 kg/m2; p=0.04), waist circumference (-0.29 vs. + 0.55 cm; p<0.01), and fat mass (-0.99 vs. -0.12%; p<0.01). The decrease in these outcomes in the intervention group disappeared during the follow up period, except for fat mass. Within the intervention group, a larger decrease in the primary outcomes was found in the participants who completed the intervention. No significant differences between the two groups in changes in the secondary outcomes were found, except for the pedometer-determined steps/day. In the intervention group, the mean number of daily steps increased, while it decreased in the control group. CONCLUSIONS The study demonstrated that small significant improvements in the primary outcomes are possible in individuals with mental disorders. Integration of health promotion activities targeting physical activity and healthy eating into daily care are, however, necessary to maintain the promising results. TRIAL REGISTRATION This study is registered at ClinicalTrials.gov NCT 01336946.
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Affiliation(s)
- Nick Verhaeghe
- Department of Public Health, Ghent University, Ghent, Belgium
| | - Els Clays
- Department of Public Health, Ghent University, Ghent, Belgium
| | | | - Jan De Maeseneer
- Department of Family Medicine and Primary Health Care, Ghent University, Ghent, Belgium
| | - Lea Maes
- Department of Public Health, Ghent University, Ghent, Belgium
| | | | - Dirk De Bacquer
- Department of Public Health, Ghent University, Ghent, Belgium
| | - Lieven Annemans
- Department of Public Health, Ghent University, Ghent, Belgium
- Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium
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Aschbrenner KA, Mueser KT, Bartels SJ, Pratt SI. Perceived Social Support for Diet and Exercise Among Persons With Serious Mental Illness Enrolled in a Healthy Lifestyle Intervention. Psychiatr Rehabil J 2013; 36:65-71. [PMID: 23647144 PMCID: PMC5662199 DOI: 10.1037/h0094973] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE There is a lack of research on social support for health behavior change among persons with serious mental illness who face disproportionate morbidity and premature death due to cardiovascular disease. This study examined social contact and the demographic, health and clinical characteristics associated with perceived social support for diet and exercise among persons living with serious mental illness enrolled in a healthy lifestyle intervention. METHOD Baseline data from two ongoing studies of the In SHAPE healthy lifestyle intervention for persons with serious mental illness were included in this analysis (N = 158). Cross-sectional analyses examined social contact and correlates of both negative and positive experiences of social support for diet and exercise. Multiple linear regression was used to assess the relationship between demographic characteristics, symptoms, health, and social support. RESULTS The majority (80.3%) of participants reported face-to-face contact at least twice monthly with a family member or friend. Readiness to change physical activity was associated with greater criticism from family for exercise behaviors, r(64) = .29, p < .05. Depressive symptoms (β = .30, p < .01) were significantly associated with more unhealthy family eating environments while controlling for the amount of family contact (β = .27, p < .01), while readiness to change dietary portion size (β = .34, p < .01) was associated with encouragement for healthy eating from friends. CONCLUSION AND IMPLICATIONS FOR PRACTICE Participants had regular contact with significant others who were a source of both positive and negative support for healthy eating and exercise. Engaging natural supports in supporting healthy behaviors may help persons with serious mental illness initiate and maintain lifestyle change.
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Steylen PMJ, van der Heijden FMMA, Kok HDH, Sijben NAES, Verhoeven WMA. Cardiometabolic comorbidity in antipsychotic treated patients: need for systematic evaluation and treatment. Int J Psychiatry Clin Pract 2013; 17:125-30. [PMID: 23437800 DOI: 10.3109/13651501.2013.779000] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The aim of the study was to determine the prevalence of cardiometabolic dysregulations and their somatic treatment regimens in a group of psychiatric patients treated with antipsychotics. METHODS In a naturalistic cohort study, baseline cardiometabolic parameters were measured in 543 outpatients. After one year, a second assessment was performed in 220 patients out of the total sample. In addition, it was investigated whether in patients with somatic comorbidities adequate treatment was prescribed. RESULTS In this cohort, about half of the patients fulfilled the criteria for metabolic syndrome. Only a limited number of patients, however, received pharmacologic treatment for individual risk factors: About 19% for hypercholesterolemia, 26% for hypertension, and 52% for diabetes. Non-treated patients were significantly younger than treated patients. Follow-up data show that the course of the cardiometabolic parameters can be dynamic. CONCLUSIONS Cardiometabolic risk factors are highly prevalent in psychiatric patients treated with antipsychotic drugs. Unfortunately, adequate treatment of cardiometabolic comorbidity in these relatively young patients is seriously hampered. Thus, specific guidelines for psychiatric patients have to be developed taking into account the high cardiovascular risk at a relatively young age and potential pharmacokinetic interactions between psychotropics and somatic compounds. Moreover, integration of psychiatric and physical health care systems for patients with mental disorders is urgently needed.
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Affiliation(s)
- Pauline M J Steylen
- Vincent van Gogh Institute for Psychiatry, Centre of Excellence for Neuropsychiatry, Venray, The Netherlands.
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49
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Happell B, Platania-Phung C, Scott D. Survey of Australian mental health nurses on physical activity promotion. International Journal of Mental Health Promotion 2013. [DOI: 10.1080/14623730.2013.824162] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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50
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Daumit GL, Dickerson FB, Wang NY, Dalcin A, Jerome GJ, Anderson CAM, Young DR, Frick KD, Yu A, Gennusa JV, Oefinger M, Crum RM, Charleston J, Casagrande SS, Guallar E, Goldberg RW, Campbell LM, Appel LJ. A behavioral weight-loss intervention in persons with serious mental illness. N Engl J Med 2013; 368:1594-602. [PMID: 23517118 PMCID: PMC3743095 DOI: 10.1056/nejmoa1214530] [Citation(s) in RCA: 358] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
BACKGROUND Overweight and obesity are epidemic among persons with serious mental illness, yet weight-loss trials systematically exclude this vulnerable population. Lifestyle interventions require adaptation in this group because psychiatric symptoms and cognitive impairment are highly prevalent. Our objective was to determine the effectiveness of an 18-month tailored behavioral weight-loss intervention in adults with serious mental illness. METHODS We recruited overweight or obese adults from 10 community psychiatric rehabilitation outpatient programs and randomly assigned them to an intervention or a control group. Participants in the intervention group received tailored group and individual weight-management sessions and group exercise sessions. Weight change was assessed at 6, 12, and 18 months. RESULTS Of 291 participants who underwent randomization, 58.1% had schizophrenia or a schizoaffective disorder, 22.0% had bipolar disorder, and 12.0% had major depression. At baseline, the mean body-mass index (the weight in kilograms divided by the square of the height in meters) was 36.3, and the mean weight was 102.7 kg (225.9 lb). Data on weight at 18 months were obtained from 279 participants. Weight loss in the intervention group increased progressively over the 18-month study period and differed significantly from the control group at each follow-up visit. At 18 months, the mean between-group difference in weight (change in intervention group minus change in control group) was -3.2 kg (-7.0 lb, P=0.002); 37.8% of the participants in the intervention group lost 5% or more of their initial weight, as compared with 22.7% of those in the control group (P=0.009). There were no significant between-group differences in adverse events. CONCLUSIONS A behavioral weight-loss intervention significantly reduced weight over a period of 18 months in overweight and obese adults with serious mental illness. Given the epidemic of obesity and weight-related disease among persons with serious mental illness, our findings support implementation of targeted behavioral weight-loss interventions in this high-risk population. (Funded by the National Institute of Mental Health; ACHIEVE ClinicalTrials.gov number, NCT00902694.).
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Affiliation(s)
- Gail L Daumit
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland 21287, USA.
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