ABSTRACT
OBJECTIVE: People with mood disorders have increased risk of comorbid medical diseases versus the general population. It is paramount to identify interventions to improve physical health in this population. METHODS: Umbrella review of meta-analyses of randomised controlled trials (RCTs) on pharmacological/non-pharmacological interventions for physical health outcomes/intolerability-related discontinuation in mood disorders (any age). RESULTS: Ninety-seven meta-analyses were included. Among youths, against placebo, in depression, antidepressants/antipsychotics had higher discontinuation rates; in bipolar depression, olanzapine+fluoxetine worsened total cholesterol (TC)/triglycerides/weight gain (WG) (large ES). In adults with bipolar disorder, olanzapine worsened HbA1c/TC/WG (moderate/large ES); asenapine increased fasting glucose (small ES); quetiapine/cariprazine/risperidone induced WG (small/moderate ES). In bipolar depression, lurasidone was metabolically neutral. In depression, psychological interventions improved physical health-related quality of life (PHQoL) (small ES), fasting glucose/HbA1c (medium/large ES); SSRIs improved fasting glucose/HbA1c, readmission for coronary disease, pain (small ES); quetiapine/aripiprazole/olanzapine induced WG (small to large ES). Exercise improved cardiorespiratory fitness (moderate ES). In the elderly, fluoxetine yielded more detrimental cardiovascular effects than sertraline/escitalopram (large ES); antidepressants were neutral on exercise tolerance and PHQoL. In mixed age groups, in bipolar disorder aripiprazole was metabolically neutral; in depression, SSRIs lowered blood pressure versus placebo and serotonin-noradrenaline reuptake inhibitors (small ES); brexpiprazole augmentation caused WG and was less tolerated (small ES); exercise improved PHQoL (moderate ES). CONCLUSIONS: Some interventions (psychological therapies, exercise and SSRIs) improve certain physical health outcomes in mood disorders, few are neutral, but various pharmacological interventions are associated with negative effects. Evidence from this umbrella review has limitations, should consider evidence from other disorders and should be integrated with recent evidence from individual RCTs, and observational evidence. Effective treatments with either beneficial or physically neutral profiles should be prioritized.
Subject(s)
Antipsychotic Agents , Bipolar Disorder , Adult , Humans , Aged , Adolescent , Fluoxetine/therapeutic use , Olanzapine/therapeutic use , Quetiapine Fumarate/therapeutic use , Selective Serotonin Reuptake Inhibitors/therapeutic use , Aripiprazole , Longevity , Glycated Hemoglobin , Antipsychotic Agents/therapeutic use , Antidepressive Agents/therapeutic use , Bipolar Disorder/drug therapy , Outcome Assessment, Health Care , Randomized Controlled Trials as TopicABSTRACT
BACKGROUND: Mental health problems contribute significantly to the overall disease burden worldwide and are major causes of disability, suicide, and ischaemic heart disease. People with bipolar disorder report lower levels of physical activity than the general population, and are at greater risk of chronic health conditions including cardiovascular disease and obesity. These contribute to poor health outcomes. Physical activity has the potential to improve quality of life and physical and mental well-being. OBJECTIVES: To identify the factors that influence participation in physical activity for people diagnosed with bipolar disorder from the perspectives of service users, carers, service providers, and practitioners to help inform the design and implementation of interventions that promote physical activity. SEARCH METHODS: We searched MEDLINE, PsycINFO, and eight other databases to March 2021. We also contacted experts in the field, searched the grey literature, and carried out reference checking and citation searching to identify additional studies. There were no language restrictions. SELECTION CRITERIA: We included qualitative studies and mixed-methods studies with an identifiable qualitative component. We included studies that focused on the experiences and attitudes of service users, carers, service providers, and healthcare professionals towards physical activity for bipolar disorder. DATA COLLECTION AND ANALYSIS: We extracted data using a data extraction form designed for this review. We assessed methodological limitations using a list of predefined questions. We used the "best fit" framework synthesis based on a revised version of the Health Belief Model to analyse and present the evidence. We assessed methodological limitations using the CASP Qualitative Checklist. We used the GRADE-CERQual (Confidence in the Evidence from Reviews of Qualitative research) guidance to assess our confidence in each finding. We examined each finding to identify factors to inform the practice of health and care professionals and the design and development of physical activity interventions for people with bipolar disorder. MAIN RESULTS: We included 12 studies involving a total of 592 participants (422 participants who contributed qualitative data to an online survey, 170 participants in qualitative research studies). Most studies explored the views and experiences of physical activity of people with experience of bipolar disorder. A number of studies also reported on personal experiences of physical activity components of lifestyle interventions. One study included views from family carers and clinicians. The majority of studies were from high-income countries, with only one study conducted in a middle-income country. Most participants were described as stable and had been living with a diagnosis of bipolar disorder for a number of years. We downgraded our confidence in several of the findings from high confidence to moderate or low confidence, as some findings were based on only small amounts of data, and the findings were based on studies from only a few countries, questioning the relevance of these findings to other settings. We also had very few perspectives of family members, other carers, or health professionals supporting people with bipolar disorder. The studies did not include any findings from service providers about their perspectives on supporting this aspect of care. There were a number of factors that limited people's ability to undertake physical activity. Shame and stigma about one's physical appearance and mental health diagnosis were discussed. Some people felt their sporting skills/competencies had been lost when they left school. Those who had been able to maintain exercise through the transition into adulthood appeared to be more likely to include physical activity in their regular routine. Physical health limits and comorbid health conditions limited activity. This included bipolar medication, being overweight, smoking, alcohol use, poor diet and sleep, and these barriers were linked to negative coping skills. Practical problems included affordability, accessibility, transport links, and the weather. Workplace or health schemes that offered discounts were viewed positively. The lack of opportunity for exercise within inpatient mental health settings was a problem. Facilitating factors included being psychologically stable and ready to adopt new lifestyle behaviours. There were positive benefits of being active outdoors and connecting with nature. Achieving balance, rhythm, and routine helped to support mood management. Fitting physical activity into a regular routine despite fluctuating mood or motivation appeared to be beneficial if practised at the right intensity and pace. Over- or under-exercising could be counterproductive and accelerate depressive or manic moods. Physical activity also helped to provide a structure to people's daily routines and could lead to other positive lifestyle benefits. Monitoring physical or other activities could be an effective way to identify potential triggers or early warning signs. Technology was helpful for some. People who had researched bipolar disorder and had developed a better understanding of the condition showed greater confidence in managing their care or providing care to others. Social support from friends/family or health professionals was an enabling factor, as was finding the right type of exercise, which for many people was walking. Other benefits included making social connections, weight loss, improved quality of life, and better mood regulation. Few people had been told of the benefits of physical activity. Better education and training of health professionals could support a more holistic approach to physical and mental well-being. Involving mental health professionals in the multidisciplinary delivery of physical activity interventions could be beneficial and improve care. Clear guidelines could help people to initiate and incorporate lifestyle changes. AUTHORS' CONCLUSIONS: There is very little research focusing on factors that influence participation in physical activity in bipolar disorder. The studies we identified suggest that men and women with bipolar disorder face a range of obstacles and challenges to being active. The evidence also suggests that there are effective ways to promote managed physical activity. The research highlighted the important role that health and care settings, and professionals, can play in assessing individuals' physical health needs and how healthy lifestyles may be promoted. Based on these findings, we have provided a summary of key elements to consider for developing physical activity interventions for bipolar disorder.
Subject(s)
Bipolar Disorder , Exercise , Qualitative Research , Humans , Bias , Bipolar Disorder/psychology , Bipolar Disorder/therapy , Caregivers/psychology , Exercise/psychology , Health Personnel/psychology , Quality of Life , Systematic Reviews as Topic , Meta-Analysis as TopicABSTRACT
INTRODUCTION: Weight gain in the months/years after diagnosis/treatment of severe enduring mental illness (SMI) is a major predictor of future diabetes, dysmetabolic profile and increased risk of cardiometabolic diseases. There is limited data on the longer-term profile of weight change in people with a history of SMI and how this may differ between individuals. We here report a retrospective study on weight change over the 5 years following an SMI diagnosis in Greater Manchester UK, an ethnically and culturally diverse community, with particular focus on comparing non-affective psychosis (NAP) vs affective psychosis (AP) diagnoses. METHODS: We undertook an anonymised search in the Greater Manchester Care Record (GMCR). We reviewed the health records of anyone who had been diagnosed for the first time with first episode psychosis, schizophrenia, schizoaffective disorder, delusional disorder (non-affective psychosis = NAP) or affective psychosis (AP). We analysed body mass index (BMI) change in the 5-year period following the first prescription of antipsychotic medication. All individuals had taken an antipsychotic agent for at least 3 months. The 5-year follow-up point was anywhere between 2003 and 2023. RESULTS: We identified 9125 people with the diagnoses above. NAP (n = 5618; 37.3% female) mean age 49.9 years; AP (n = 4131; 60.5% female) mean age 48.7 years. 27.0% of NAP were of non-White ethnicity vs 17.8% of AP individuals. A higher proportion of people diagnosed with NAP were in the highest quintile of social disadvantage 52.4% vs 39.5% for AP. There were no significant differences in baseline BMI profile. In a subsample with HbA1c data (n = 2103), mean HbA1c was higher in NAP at baseline (40.4 mmol/mol in NAP vs 36.7 mmol/mol for AP). At 5-year follow-up, there was similarity in both the overall % of individuals in the obese ≥ 30 kg/m2 category (39.8% NAP vs 39.7% AP), and % progressing from a normal healthy BMI transitioned to obese/overweight BMI (53.6% of NAP vs 55.6% with AP). 43.7% of those NAP with normal BMI remained at a healthy BMI vs 42.7% with AP. At 5-year follow-up for NAP, 83.1% of those with BMI ≥ 30 kg/m2 stayed in this category vs 81.5% of AP. CONCLUSION: The results of this real-world longitudinal cohort study suggest that the changes in BMI with treatment of non-affective psychosis vs bipolar disorder are not significantly different, while 43% maintain a healthy weight in the first 5 years following antipsychotic prescription.
ABSTRACT
The use of digital technologies as a method of delivering health behaviour change (HBC) interventions is rapidly increasing across the general population. However, the role in severe mental illness (SMI) remains overlooked. In this study, we aimed to systematically identify and evaluate all of the existing evidence around digital HBC interventions in people with an SMI. A systematic search of online electronic databases was conducted. Data on adherence, feasibility, and outcomes of studies on digital HBC interventions in SMI were extracted. Our combined search identified 2196 titles and abstracts, of which 1934 remained after removing duplicates. Full-text screening was performed for 107 articles, leaving 36 studies to be included. From these, 14 focused on physical activity and/or cardio-metabolic health, 19 focused on smoking cessation, and three concerned other health behaviours. The outcomes measured varied considerably across studies. Although over 90% of studies measuring behavioural changes reported positive changes in behaviour/attitudes, there were too few studies collecting data on mental health to determine effects on psychiatric outcomes. Digital HBC interventions are acceptable to people with an SMI, and could present a promising option for addressing behavioural health in these populations. Feedback indicated that additional human support may be useful for promoting adherence/engagement, and the content of such interventions may benefit from more tailoring to specific needs. While the literature does not yet allow for conclusions regarding efficacy for mental health, the available evidence to date does support their potential to change behaviour across various domains.
Subject(s)
Mental Disorders , Smoking Cessation , Humans , Mental Disorders/therapy , Mental Disorders/psychology , Exercise , Behavioral SymptomsABSTRACT
Tobacco smoking is highly prevalent among patients with serious mental illness (SMI), with known deleterious consequences. Smoking cessation is therefore a prioritary public health challenge in SMI. In recent years, several smoking cessation digital interventions have been developed for non-clinical populations. However, their impact in patients with SMI remains uncertain. We conducted a systematic review to describe and evaluate effectiveness, acceptability, adherence, usability and safety of digital interventions for smoking cessation in patients with SMI. PubMed/MEDLINE, EMBASE, CINAHL, Web of Science, PsychINFO and the Cochrane Tobacco Addiction Group Specialized Register were searched. Studies matching inclusion criteria were included and their information systematically extracted by independent investigators. Thirteen articles were included, which reported data on nine different digital interventions. Intervention theoretical approaches ranged from mobile contingency management to mindfulness. Outcome measures varied widely between studies. The highest abstinence rates were found for mSMART MIND (7-day point-prevalent abstinence: 16-40%). Let's Talk About Quitting Smoking reported greater acceptability ratings, although this was not evaluated with standardized measures. Regarding usability, Learn to Quit showed the highest System Usability Scale scores [mean (s.d.) 85.2 (15.5)]. Adverse events were rare and not systematically reported. Overall, the quality of the studies was fair to good. Digitally delivered health interventions for smoking cessation show promise for improving outcomes for patients with SMI, but lack of availability remains a concern. Larger trials with harmonized assessment measures are needed to generate more definitive evidence and specific recommendations.
Subject(s)
Mental Disorders , Smoking Cessation , Tobacco Smoking , Humans , Smoking Cessation/methods , Tobacco Smoking/adverse effects , Telemedicine , Mental Disorders/complications , Mental Disorders/therapy , MindfulnessABSTRACT
People with severe mental illness (SMI; including schizophrenia/psychosis, bipolar disorder (BD), major depressive disorder (MDD)) experience large disparities in physical health. Emerging evidence suggests this group experiences higher risks of infection and death from COVID-19, although the full extent of these disparities are not yet established. We investigated COVID-19 related infection, hospitalisation and mortality among people with SMI in the UK Biobank (UKB) cohort study. Overall, 447,296 participants from UKB (schizophrenia/psychosis = 1925, BD = 1483 and MDD = 41,448, non-SMI = 402,440) were linked with healthcare and death records. Multivariable logistic regression analysis was used to examine differences in COVID-19 outcomes by diagnosis, controlling for sociodemographic factors and comorbidities. In unadjusted analyses, higher odds of COVID-19 mortality were seen among people with schizophrenia/psychosis (odds ratio [OR] 4.84, 95% confidence interval [CI] 3.00-7.34), BD (OR 3.76, 95% CI 2.00-6.35), and MDD (OR 1.99, 95% CI 1.69-2.33) compared to people with no SMI. Higher odds of infection and hospitalisation were also seen across all SMI groups, particularly among people with schizophrenia/psychosis (OR 1.61, 95% CI 1.32-1.96; OR 3.47, 95% CI 2.47-4.72) and BD (OR 1.48, 95% CI 1.16-1.85; OR 3.31, 95% CI 2.22-4.73). In fully adjusted models, mortality and hospitalisation odds remained significantly higher among all SMI groups, though infection odds remained significantly higher only for MDD. People with schizophrenia/psychosis, BD and MDD have higher risks of COVID-19 infection, hospitalisation and mortality. Only a proportion of these disparities were accounted for by pre-existing demographic characteristics or comorbidities. Vaccination and preventive measures should be prioritised in these particularly vulnerable groups.
Subject(s)
Bipolar Disorder , COVID-19 , Depressive Disorder, Major , Schizophrenia , Biological Specimen Banks , Bipolar Disorder/epidemiology , Cohort Studies , Depressive Disorder, Major/epidemiology , Hospitalization , Humans , Schizophrenia/epidemiology , United Kingdom/epidemiologyABSTRACT
People with severe mental illness (SMI), such as major depression, bipolar disorder, and schizophrenia, experience numerous risk factors that may predispose them to food insecurity; however, the prevalence of food insecurity and its effects on health are under-researched in this population group. This systematic review and meta-analysis aimed to describe the prevalence and correlates of food insecurity in people with SMI. A comprehensive electronic search was conducted up to March 2021. Random effects meta-analysis was employed to determine the prevalence of food insecurity in SMI, and odds ratio (OR) of food insecurity in people with SMI compared to non-psychiatric controls/general population. Twenty-nine unique datasets (31 publications) were included. Prevalence estimate of food insecurity in people with SMI was 40% (95% CI 29-52%, I2 = 99.7%, N = 27). People with SMI were 2.71 (95% CI 1.72-3.25) times more likely to report food insecurity than the comparator group (Z = 11.09, p < 0.001, I2 = 95%, N = 23). The odds of food insecurity in SMI were higher in high/high-middle income countries compared to low/low-middle income countries, likely due to the high food insecurity rates in the general population of lower income countries. There was no difference in food insecurity rates by diagnosis. Food insecurity should be a consideration for health professionals working with community-dwelling people with SMI.
Subject(s)
Bipolar Disorder , Depressive Disorder, Major , Mental Disorders , Psychotic Disorders , Schizophrenia , Humans , Bipolar Disorder/epidemiology , Schizophrenia/epidemiology , Depressive Disorder, Major/epidemiology , Prevalence , Food InsecurityABSTRACT
BACKGROUND: Exercise is recommended to protect physical health among people with severe mental illness and holds the potential to facilitate long-term recovery. An inclusive exercise community provides an opportunity for life skill training and social connectedness and may reduce the experience of loneliness and internalized stigmatization which together may improve personal recovery. Using a pragmatic randomized design, we aim to examine the effectiveness of a gym-based exercise intervention tailored to young adults in antipsychotic treatment (i.e., Vega Exercise Community) compared to usual care. It is hypothesized that the Vega Exercise Community will be superior to usual care for personal recovery at four months. METHODS: The trial will be conducted at four sites in Denmark from which 400 participants, aged 18 to 35 years, who are in current treatment with antipsychotic medications for the management of schizophrenia spectrum or affective disorders, will be recruited. Participants will be randomized (2:1) to Vega Exercise Community or usual care. Vega Exercise Community includes three weekly group-based exercise sessions hosted in commercial functional training centers delivered by certified Vega instructors. After four months, participants in Vega Exercise Community will be randomized (1:1) to minimal versus extended support with regards to sustained physical activity. Data will be collected at baseline, four, six and 12 months. The primary outcome is personal recovery assessed by Questionnaire about the Process of Recovery at four months. Behavioral symptoms, health-related quality of life, metabolic health, and program costs will be evaluated to further determine the effectiveness and cost-effectiveness of the Vega Exercise Community. Finally, the quality of life and physical and mental health of the participants' primary relative will be evaluated. DISCUSSION: The results of this trial may have important implications for health, sustained physical activity, and recovery for individuals in treatment with antipsychotics. Given the pragmatic design, positive results may readily be implemented by mental health care professionals to promote exercise as an integrated part of treatment of severe mental illness. TRIAL REGISTRATION: Clinical Trials.gov (NCT05461885, initial registration June 29th, 2022). WHO Universal Trial Number (UTN): U1111-1271-9928.
Subject(s)
Antipsychotic Agents , Humans , Young Adult , Antipsychotic Agents/therapeutic use , Exercise , Health Personnel , Loneliness , Multicenter Studies as Topic , Quality of Life , Randomized Controlled Trials as TopicABSTRACT
OBJECTIVE: To estimate the efficacy of exercise on depressive symptoms compared with non-active control groups and to determine the moderating effects of exercise on depression and the presence of publication bias. DESIGN: Systematic review and meta-analysis with meta-regression. DATA SOURCES: The Cochrane Central Register of Controlled Trials, PubMed, MEDLINE, Embase, SPORTDiscus, PsycINFO, Scopus and Web of Science were searched without language restrictions from inception to 13 September2022 (PROSPERO registration no CRD42020210651). ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Randomised controlled trials including participants aged 18 years or older with a diagnosis of major depressive disorder or those with depressive symptoms determined by validated screening measures scoring above the threshold value, investigating the effects of an exercise intervention (aerobic and/or resistance exercise) compared with a non-exercising control group. RESULTS: Forty-one studies, comprising 2264 participants post intervention were included in the meta-analysis demonstrating large effects (standardised mean difference (SMD)=-0.946, 95% CI -1.18 to -0.71) favouring exercise interventions which corresponds to the number needed to treat (NNT)=2 (95% CI 1.68 to 2.59). Large effects were found in studies with individuals with major depressive disorder (SMD=-0.998, 95% CI -1.39 to -0.61, k=20), supervised exercise interventions (SMD=-1.026, 95% CI -1.28 to -0.77, k=40) and moderate effects when analyses were restricted to low risk of bias studies (SMD=-0.666, 95% CI -0.99 to -0.34, k=12, NNT=2.8 (95% CI 1.94 to 5.22)). CONCLUSION: Exercise is efficacious in treating depression and depressive symptoms and should be offered as an evidence-based treatment option focusing on supervised and group exercise with moderate intensity and aerobic exercise regimes. The small sample sizes of many trials and high heterogeneity in methods should be considered when interpreting the results.
Subject(s)
Depression , Depressive Disorder, Major , Humans , Depression/therapy , Depressive Disorder, Major/therapy , Exercise , Exercise Therapy/methodsABSTRACT
Internet usage among adolescents has increased substantially over the last years, concurrently with emerging concerns that an abusive use is associated with detrimental health outcomes. Our objective was to examine the association between age of first exposure and heavy Internet usage in different domains. Data from the 2018 wave of the Programme for International Student Assessment (PISA) were retrieved. This included a total of 317,443 participants (49.2% boys) aged 15 and 16 years from 52 countries. Data from both Internet use and age of first exposure were retrieved and used to conduct metanalyses with random effects. Adolescents reporting an age of first exposure of Internet usage at ≥ 13 years old had the lowest odds for heavy Internet use (> 2 h/day) (reference group: ≤ 9 years) during weekends (odds ratio, 0.41 [95% CI, 0.35-0.48]), weekdays (odds ratio, 0.45 [95% CI, 0.37-0.56]), and during school time (odds ratio (odds ratio, 0.86 [95% CI, 0.77-0.96]) even when adjusted for sex, socioeconomic status, and country. A stronger association was observed in adolescents from South and Central America and Eastern Mediterranean regions in the domain of weekends and weekdays. The results indicate that early internet exposure is associated with heavy Internet use, particularly during weekends and weekdays, regardless the geographical region, in a linear fashion. Further research should aim to examine if better education and parental control in specific areas may avoid excessive Internet use that possibly have a negative influence on both mental and physical health.
Subject(s)
Adolescent Behavior , Video Games , Male , Humans , Adolescent , Female , Internet Use , Surveys and Questionnaires , Adolescent Behavior/psychology , Social Class , InternetABSTRACT
This systematic review and meta-analysis investigated the benefits, safety and adherence of exercise interventions delivered in inpatient mental health settings, quantified the number of exercise trials that provided support to maintain engagement in exercise post-discharge, and reported patient feedback towards exercise interventions. Major databases were searched from inception to 22.06.2022 for intervention studies investigating exercise in mental health inpatient settings. Study quality was assessed using Cochrane and ROBINS-1 checklists. Fifty-six papers were included from 47 trials (including 34 RCTs), bias was high. Exercise improved depression (Standardised mean difference = -0.416; 95% Confidence interval -0.787 to -0.045, N = 15) compared to non-exercise comparators amongst people with a range of mental illnesses, with further (albeit limited) evidence suggesting a role of exercise in cardiorespiratory fitness and various other physical health parameters and ameliorating psychiatric symptoms. No serious exercise-related adverse events were noted, attendance was ≥80% in most trials, and exercise was perceived as enjoyable and useful. Five trials offered patients post-discharge support to continue exercise, with varying success. In conclusion, exercise interventions may have therapeutic benefits in inpatient mental health settings. More high-quality trials are needed to determine optimal parameters, and future research should investigate systems to support patients to maintain exercise engagement once discharged.
Subject(s)
Inpatients , Mental Health , Humans , Aftercare , Patient Discharge , Exercise Therapy , Quality of LifeABSTRACT
The field of nutritional psychiatry has generated observational and efficacy data supporting a role for healthy dietary patterns in depression onset and symptom management. To guide future clinical trials and targeted dietary therapies, this review provides an overview of what is currently known regarding underlying mechanisms of action by which diet may influence mental and brain health. The mechanisms of action associating diet with health outcomes are complex, multifaceted, interacting, and not restricted to any one biological pathway. Numerous pathways were identified through which diet could plausibly affect mental health. These include modulation of pathways involved in inflammation, oxidative stress, epigenetics, mitochondrial dysfunction, the gut microbiota, tryptophan-kynurenine metabolism, the HPA axis, neurogenesis and BDNF, epigenetics, and obesity. However, the nascent nature of the nutritional psychiatry field to date means that the existing literature identified in this review is largely comprised of preclinical animal studies. To fully identify and elucidate complex mechanisms of action, intervention studies that assess markers related to these pathways within clinically diagnosed human populations are needed.
Subject(s)
Depression/metabolism , Depression/physiopathology , Diet/psychology , Animals , Depression/genetics , Epigenesis, Genetic , Gastrointestinal Microbiome , Humans , Inflammation , Oxidative StressABSTRACT
BACKGROUND: Multiple sclerosis (MS) is a common and disabling condition. The importance of healthy lifestyle for this disease is poorly explored. OBJECTIVE: To test whether adherence to healthier lifestyle patterns is associated with a lower presence of multiple sclerosis (MS). METHODS: By using a case-control design, we investigated the combined association of four healthy lifestyle-related factors (no current smoking, healthy diet, exercising regularly, body mass index <30â kg/m2) and the prevalence of MS. A logistic regression analysis, adjusted for potential confounders, was used and data reported as odds ratios (ORs) with their 95% confidence intervals (CIs). RESULTS: 728 participants with MS were matched with healthy controls (n = 2,912) using a propensity score approach. In a multivariable analysis, compared to those who scored low in the composite lifestyle score (0-1 healthy lifestyle factors), people who adopted all four low risk lifestyle factors showed a 71% lower odds of having MS (OR = 0.29; 95% CI: 0.15-0.56). Moreover, there was a strong linear trend, suggesting that the higher number of healthy lifestyle behaviors was associated with lower odds of having MS. CONCLUSION: Following a healthy lifestyle is associated with a lower prevalence of MS. This association should be explored further in cohort studies.
Subject(s)
Multiple Sclerosis , Biological Specimen Banks , Case-Control Studies , Healthy Lifestyle , Humans , Life Style , Multiple Sclerosis/epidemiology , Risk Factors , United Kingdom/epidemiologyABSTRACT
BACKGROUND: Exercise is a recognised element of health-care management of mental-health conditions. In primary health care, it has been delivered through exercise referral schemes (ERS). The National Institute for Health and Care Excellence has highlighted uncertainty regarding the effectiveness of ERS in improving exercise participation and health outcomes among those referred for mental-health reasons. This review aims, therefore, to evaluate ERSs for individuals who are referred specifically for mental-health reasons. METHODS: Studies were reviewed that assessed the effectiveness of ERSs in improving initiation of and/or adherence to exercise and/or their effectiveness in improving long-term participation in exercise and health outcomes among primary care patients who had been referred to the scheme for mental-health reasons. The data were extracted and their quality assessed. Data were analysed through a narrative synthesis approach. RESULTS: Nine studies met the eligibility criteria. Three assessed clinical effectiveness of the schemes, eight assessed ERS uptake and/or adherence to the exercise schedule, and two assessed the impact of the ERSs on long-term exercise levels. In one study, it was found that ERSs that were based in leisure centres significantly improved long-term symptoms in those who had been referred due to their mental ill health (P<0.05). ERSs that involved face-to-face consultations and telephone calls had the highest rates of mean uptake (91.5%) and adherence (71.7%), but a difference was observed between uptake/adherence in trials (86.8%/55.3%) and in routine practice (57.9%/37.2%). ERSs that included face-to-face consultations and telephone calls increased the amount of long-term physical activity that was undertaken by people who had been referred for mental-health reasons (P=0.003). CONCLUSIONS: Uptake and effectiveness of ERSs for mental health conditions was related to programme content and setting with more effective programmes providing both face-to-face and telephone consultations. Good uptake of yoga among those referred for mental health reasons suggests that mindful exercise options should be investigated further. Existing ERSs could be improved through application of individual tailoring and the provision of more face-to-face consultations, and social support. Further research is required to identify the types of ERSs that are most clinically effective for those with mental ill health.
Subject(s)
Mental Disorders , Mental Health , Exercise , Humans , Mental Disorders/therapy , Primary Health Care , Referral and ConsultationABSTRACT
OBJECTIVE: High-intensity interval training (HIIT) is a safe and feasible form of exercise. The aim of this meta-analysis was to investigate the mental health effects of HIIT, in healthy populations and those with physical illnesses, and to compare the mental health effects to non-active controls and other forms of exercise. DESIGN: Random effects meta-analyses were undertaken for randomised controlled trials (RCTs) comparing HIIT with non-active and/or active (exercise) control conditions for the following coprimary outcomes: mental well-being, symptoms of depression, anxiety and psychological stress. Positive and negative affect, distress and sleep outcomes were summarised narratively. DATA SOURCES: Medline, PsycINFO, Embase and CENTRAL databases were searched from inception to 7 July 2020. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: RCTs that investigated HIIT in healthy populations and/or those with physical illnesses and reported change in mental well-being, depression, anxiety, psychological stress, positive/negative affect, distress and/or sleep quality. RESULTS: Fifty-eight RCTs were retrieved. HIIT led to moderate improvements in mental well-being (standardised mean difference (SMD): 0.418; 95% CI: 0.135 to 0.701; n=12 studies), depression severity (SMD: -0.496; 95% CI: -0.973 to -0.020; n=10) and perceived stress (SMD: -0.474; 95% CI: -0.796 to -0.152; n=4) compared with non-active controls, and small improvements in mental well-being compared with active controls (SMD:0.229; 95% CI: 0.054 to 0.403; n=12). There was a suggestion that HIIT may improve sleep and psychological distress compared with non-active controls: however, these findings were based on a small number of RCTs. CONCLUSION: These findings support the use of HIIT for mental health in the general population. LEVEL OF EVIDENCE: The quality of evidence was moderate-to-high according to the Grading of Recommendations Assessment, Development and Evaluation) criteria. PROSPERO REGISTRATION NUMBER: CRD42020182643.
Subject(s)
High-Intensity Interval Training , Anxiety/therapy , Humans , Mental Health , Outcome Assessment, Health Care , Stress, Psychological/therapyABSTRACT
BACKGROUND: While many digital mental health interventions (DMHIs) have been found to be efficacious, patient engagement with DMHIs has increasingly emerged as a concern for implementation in real-world clinical settings. To address engagement, we must first understand what standard engagement levels are in the context of randomized controlled trials (RCTs) and how these compare with other treatments. OBJECTIVE: This scoping review aims to examine the state of reporting on intervention engagement in RCTs of mobile app-based interventions intended to treat symptoms of depression. We sought to identify what engagement metrics are and are not routinely reported as well as what the metrics that are reported reflect about standard engagement levels. METHODS: We conducted a systematic search of 7 databases to identify studies meeting our eligibility criteria, namely, RCTs that evaluated use of a mobile app-based intervention in adults, for which depressive symptoms were a primary outcome of interest. We then extracted 2 kinds of information from each article: intervention details and indices of DMHI engagement. A 5-element framework of minimum necessary DMHI engagement reporting was derived by our team and guided our data extraction. This framework included (1) recommended app use as communicated to participants at enrollment and, when reported, app adherence criteria; (2) rate of intervention uptake among those assigned to the intervention; (3) level of app use metrics reported, specifically number of uses and time spent using the app; (4) duration of app use metrics (ie, weekly use patterns); and (5) number of intervention completers. RESULTS: Database searching yielded 2083 unique records. Of these, 22 studies were eligible for inclusion. Only 64% (14/22) of studies included in this review specified rate of intervention uptake. Level of use metrics was only reported in 59% (13/22) of the studies reviewed. Approximately one-quarter of the studies (5/22, 23%) reported duration of use metrics. Only half (11/22, 50%) of the studies reported the number of participants who completed the app-based components of the intervention as intended or other metrics related to completion. Findings in those studies reporting metrics related to intervention completion indicated that between 14.4% and 93.0% of participants randomized to a DMHI condition completed the intervention as intended or according to a specified adherence criteria. CONCLUSIONS: Findings suggest that engagement was underreported and widely varied. It was not uncommon to see completion rates at or below 50% (11/22) of those participants randomized to a treatment condition or to simply see completion rates not reported at all. This variability in reporting suggests a failure to establish sufficient reporting standards and limits the conclusions that can be drawn about level of engagement with DMHIs. Based on these findings, the 5-element framework applied in this review may be useful as a minimum necessary standard for DMHI engagement reporting.
Subject(s)
Mental Health , Mobile Applications , Adult , Depression/therapy , Humans , Patient Participation , Randomized Controlled Trials as TopicABSTRACT
BACKGROUND: This meta-analysis aims to: (i) describe the pooled prevalence of diabetes in people with intellectual disabilities, (ii) investigate the association with demographic, clinical and treatment-related factors and (iii) compare the prevalence versus age- and gender-matched general population controls. METHODS: Pubmed, Embase and CINAHL were searched until 01 May 2021. Random effects meta-analysis and an odds ratio analysis were conducted to compare rates with controls. RESULTS: The trim- and fill-adjusted pooled diabetes prevalence amongst 55,548 individuals with intellectual disabilities (N studies = 33) was 8.5% (95% CI = 7.2%-10.0%). The trim- and fill-adjusted odds for diabetes was 2.46 times higher (95% CI = 1.89-3.21) (n = 42,684) versus controls (n = 4,177,550). Older age (R2 = .83, p < .001), smoking (R2 = .30, p = .009) and co-morbid depression (R2 = .18, p = .04), anxiety (R2 = .97, p < .001), and hypertension (R2 = 0.29, p < .001) were associated with higher diabetes prevalence rates. CONCLUSIONS: Our findings demonstrate that people with intellectual disabilities are at an increased risk of diabetes, and therefore routine screening and multidisciplinary management of diabetes is needed.
Subject(s)
Diabetes Mellitus , Intellectual Disability , Aged , Anxiety , Case-Control Studies , Comorbidity , Diabetes Mellitus/epidemiology , Female , Humans , Intellectual Disability/epidemiology , Male , PrevalenceABSTRACT
BACKGROUND: School-based physical activity (PA) programmes such as The Daily Mile (TDM) are widely promoted to address shortfalls in meeting PA recommendations. This study is the first to examine TDM (a daily one mile outdoor run/walk performed at a self-selected pace during school hours) on mental health, self-esteem and self-perceived competence of elementary schoolchildren. METHODS: In total, 550 children (n = 289 boys, aged 5-13 years) were recruited from seven schools across Flanders. The Self-Perception Profile for Children (SPPC) and the Strengths and Difficulties Questionnaire (SDQ) were completed before, during and post-intervention. One-way repeated measures ANOVA was used to examine changes over time. Additional subgroup analyses of children with low scores on the SPPC (-1SD) were performed. RESULTS: Only perceived global self-worth (SPPC) was significantly higher (p = .041) following TDM. However, in children with low baseline SPPC scores, significant increases with large effect sizes were found for global self-worth (p = <.001), scholastic competence (p = .001), social competence (p = .003), athletic competence (p = .002), physical appearance (p = <.001) and behavioural conduct (p = .003) following TDM. Moreover, significant reductions over time were reported by parents for total difficulties (p < .001), hyperactivity (p = .004), peer problems (p = .008) and emotional symptoms (p = <.001) and an increase in prosocial behaviour (p = .038) on the SDQ following TDM. However, no changes for conduct problems were observed (p = .143). CONCLUSIONS: The study is the first to indicate that TDM potentially improves mental health, self-esteem and self-perceived competence in elementary schoolchildren, especially in those with a poor mental health status. Randomised controlled trials are now required to more definitively test these findings.
Subject(s)
Schools , Self Concept , Adolescent , Child , Child, Preschool , Exercise , Female , Humans , Male , Outcome Assessment, Health Care , Pilot ProjectsABSTRACT
OBJECTIVE: This study aimed to analyze the longitudinal course of depression, anxiety, and posttraumatic stress disorder (PTSD) symptoms in patients with cardiac disease after heart surgery (HS). METHODS: We conducted a systematic review and random-effects meta-analysis of cohort studies in patients undergoing HS, measuring anxiety, depressive, and PTSD symptoms before and at least 30 days thereafter. Subgroup and meta-regression analyses, investigation of publication bias, and quality assessment were undertaken. RESULTS: We included 94 studies relating to 15,561 patients. HS included coronary artery bypass graft surgery, valve replacement, implantable cardioverter-defibrillator placement, left ventricular assist device placement, heart transplantation, and other types of HS. Across studies, symptoms of depression (g = 0.32; 95% confidence interval [CI] = 0.25 to 0.39; p < .001) and anxiety improved after HS (g = 0.52; 95% CI = 0.43 to 0.62; p < .001), whereas PTSD symptoms worsened (g = -0.42; 95% CI = -0.80 to -0.04; p = .032). The reduction of depression and anxiety levels was more pronounced for patients with underlying coronary artery disease and heart failure and persisted for 1 year after HS, whereas the increase in PTSD symptoms returned to baseline after 6 months. Depression improvement was inversely associated with older age, diabetes, hypertension, and dyslipidemia and positively with baseline heart failure. No additional clinical or demographic variables were associated with the course of anxiety symptoms. Quality of included studies was low overall. Publication bias was nonsignificant. CONCLUSIONS: Depressive and anxiety symptoms improve for 1 year after HS, whereas PTSD symptoms might worsen. Older patients and those with metabolic comorbidities, valve disease, or ventricular arrhythmias are at higher risk for continued depressive and anxiety symptoms and should be monitored closely.
Subject(s)
Cardiac Surgical Procedures , Stress Disorders, Post-Traumatic , Aged , Anxiety , Anxiety Disorders , Comorbidity , Depression , Humans , Stress Disorders, Post-Traumatic/epidemiologyABSTRACT
Mental health problems are highly prevalent in China; however, China's mental health services lack resources to deliver high-quality care to people in need. Digital mental health is a promising solution to this short-fall in view of the population's digital literacy. In this review, we aim to: (i) investigate the effectiveness, acceptability, usability, and safety of digital health technologies (DHTs) for people with mental health problems in China; (ii) critically appraise the literature; and (iii) make recommendations for future research directions. The databases MEDLINE, PsycINFO, EMBASE, Web of Science, CNKI, WANFANG, and VIP were systemically searched for English and Chinese language articles evaluating DHTs for people with mental health problems in mainland China. Eligible studies were systematically reviewed. The heterogeneity of studies included precluded a meta-analysis. In total, 39 articles were retrieved, reporting on 32 DHTs for various mental health problems. Compared with the digital mental health field in the West, the Chinese studies targeted schizophrenia and substance use disorder more often and investigated social anxiety mediated by shame and culturally specific variants, DHTs were rarely developed in a co-production approach, and methodology quality was less rigorous. To our knowledge, this is the first systematic review focused on digital mental health in the Chinese context including studies published in both English and the Chinese language. DHTs were acceptable and usable among Chinese people with mental health problems in general, similar to findings from the West. Due to heterogeneity across studies and a paucity of robust control trial research, conclusions about the efficacy of DHTs are lacking.