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Brain-derived neurotrophic factor in diabetes mellitus: A systematic review and meta-analysis.
Moosaie, F, Mohammadi, S, Saghazadeh, A, Dehghani Firouzabadi, F, Rezaei, N
PloS one. 2023;18(2):e0268816
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Brain-derived neurotrophic factor (BDNF) is a key molecule mainly involved in brain cell growth. It is also responsible for the survival of beta cells of the pancreas, which produce a hormone known as insulin, which is responsible for balancing blood sugar. Poor functioning beta cells can result in the development of diabetes. It is unclear as to whether high or low BDNF is present in individuals with diabetes. This meta-analysis and systematic review of 2734 individuals aimed to determine BDNF levels in individuals with diabetes, depression, and diabetic retinopathy. The results showed that serum BDNF levels were low in individuals with diabetes, however plasma levels remained unchanged. BDNF was lower in individuals with type 2 diabetes, diabetes mellitus, depression, and diabetic retinopathy. It was concluded that decreased BDNF may contribute to the development of diabetes and associated complications. This study could be used by healthcare professionals to understand the close links between diabetes and brain disorders such as dementia and Alzheimer’s disease.
Abstract
BACKGROUND Brain-derived neurotrophic factor (BDNF) is a neurotrophic factor expressed in several tissues, including the brain, gut, and pancreas. Activation of the BDNF/TrkB/CREB reduces hepatic gluconeogenesis, induces hepatic insulin signal transduction, and protects against pancreatic beta-cell loss in diabetes mellitus (DM). Several studies have investigated the possible association between BDNF and DM and its complications, but the results have been conflicting. AIM: In the present study, we aimed at systematically reviewing the literature on the serum and plasma levels of BDNF in DM and its subgroups such as T2DM, DM patients with depression, and patients with retinopathy. METHODS A comprehensive search was conducted in PubMed, Scopus, and Web of Science. We identified 28 eligible studies and calculated the standardized mean difference (SMD) of outcomes as an effect measure. RESULTS The meta-analysis included 2734 patients with DM and 6004 controls. Serum BDNF levels were significantly lower in patients with DM vs. controls (SMD = -1.00, P<0.001). Plasma BDNF levels were not different in patients with DM compared with controls. When conducting subgroup analysis, serum BDNF levels were lower among patients with T2DM (SMD = -1.26, P<0.001), DM and depression (SMD = -1.69, P<0.001), and patients with diabetic retinopathy (DR) vs. controls (SMD = -1.03, P = 0.01). CONCLUSIONS Serum BDNF levels were lower in patients with DM, T2DM, DM with depression, and DM and DR than the controls. Our findings are in line with the hypothesis that decreased BDNF levels might impair glucose metabolism and contribute to the pathogenesis of DM and its complications.
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Physical activity, inactivity and sleep during the Diabetes Remission Clinical Trial (DiRECT).
Cassidy, S, Trenell, M, Stefanetti, RJ, Charman, SJ, Barnes, AC, Brosnahan, N, McCombie, L, Thom, G, Peters, C, Zhyzhneuskaya, S, et al
Diabetic medicine : a journal of the British Diabetic Association. 2023;40(3):e15010
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Increasing physical activity is difficult for many individuals living with obesity and diabetes. Sustained, moderate activity is likely to be valuable for weight loss maintenance. The aim of this study was to explore whether randomisation to weight loss plus maintenance in the DiRECT trial was associated with physical activity, inactivity or sleep. DiRECT was a 2-year, open-label, cluster-randomised controlled trial conducted at 49 primary care (PC) practices. PC practices were randomised (1:1) to either an evidence-based weight management programme (Counterweight Plus; intervention) or best-practice care in accordance with guidelines (control). Results showed that: - repeated low-intensity advice to increase physical activity in the DiRECT intervention group did not produce change. - those people who had long-term weight loss success with the low-energy diet had positive changes in physical activity and inactivity. - wakefulness after sleep onset decreased in the intervention group. - weight loss ≥10% was associated with both increased physical activity and sleep quality. Authors conclude that it is important to optimise long-term weight loss maintenance by developing interventions encompassing restrained food intake, together with effective but affordable physical activity/inactivity strategies.
Abstract
AIMS: As sustained weight loss is vital for achieving remission of type 2 diabetes, we explored whether randomisation to weight loss plus maintenance in the DiRECT trial was associated with physical activity, inactivity or sleep. METHODS Participants were randomised to either a dietary weight management programme or best-practice care. The weight management group were encouraged to increase daily physical activity to their sustainable maximum. Objective measurement was achieved using a wrist-worn GENEActiv accelerometer for 7 days at baseline, 12 and 24 months in both groups. RESULTS Despite average weight loss of 10 kg at 12 months in the intervention (n = 66) group, there were no differences in total physical activity or inactivity compared with the control (n = 104) at any time point. However, in our exploratory analysis, those who lost more than 10% of their baseline body weight performed on average 11 mins/day more light activity than the <10% group at 24 months (p = 0.033) and had significantly lower bouts of Inactivity30min (interaction, p = 0.005) across 12 and 24 months. At 24 months, the ≥10% group had higher daily acceleration (38.5 ± 12.1 vs. 33.2 ± 11.1 mg, p = 0.020), and higher accelerations in the most active 5-hour period (59.4 ± 21.8 vs. 50.6 ± 18.3 mg, p = 0.023). Wakefulness after sleep onset decreased in the intervention group compared with the control group and also in the ≥10% weight loss group at 12 and 24 months. CONCLUSIONS Randomisation to a successful intensive weight loss intervention, including regular physical activity encouragement, was not associated with increased physical activity although sleep parameters improved. Physical activity was greater, and night-time waking reduced in those who maintained >10% weight loss at 12 and 24 months. TRIAL REGISTRATION ISRCTN03267836.
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The relationship between diabetes mellitus and attention deficit hyperactivity disorder: A systematic review and meta-analysis.
Ai, Y, Zhao, J, Liu, H, Li, J, Zhu, T
Frontiers in pediatrics. 2022;10:936813
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Attention deficit hyperactivity disorder (ADHD) is the most common neurodevelopmental disorder characterised by inattention and/or hyperactivity/impulsivity. Several studies have found bidirectional associations between ADHD and diabetes mellitus (DM). The aims of this study were to assess the prevalence of ADHD in DM patients as well as the prevalence of DM in ADHD patients compared with those without ADHD, and to explore the impacts of ADHD on glycaemic control in patients with DM. This study is a systematic review and meta-analysis of 17 articles; five were cohort studies, three were case-control studies, and nine were cross-sectional studies. Results through the pooled analyses suggest an important comorbid relationship between diabetes and ADHD. Overall, there was an increase in T2DM of 166% and 51% in children and adults with ADHD, respectively, relative to those without ADHD. Furthermore, there was an overall 37% increase in T1DM in children with ADHD. Authors conclude that further studies are needed to better understand the relationship between ADHD and DM. Additionally, it is important to take into consideration the type of DM if this association is different in various age groups (children and adults).
Abstract
BACKGROUND This study aims to investigate the prevalence estimate of diabetes mellitus (DM) among people with attention deficit hyperactivity disorder (ADHD) as well as the prevalence of ADHD among those with DM. In addition, the impact of ADHD on glycemic control in patients with DM was also assessed using a systematic review and meta-analysis of currently available published data. MATERIALS AND METHODS The PubMed, Embase, Web of Science, and PsycInfo databases were searched for potential studies. Two reviewers independently selected studies according to the inclusion and exclusion criteria. All pooled analyses were conducted using the random-effects models on Review Manager 5.3. RESULTS Seventeen observational studies were included. The pooled results showed an increase in the prevalence of DM among patients with ADHD versus those without ADHD [type 1 DM OR 1.37 (95% CI: 1.17-1.61); type 2 DM OR 2.05 (95% CI: 1.37-3.07)]. There was an overall 35% increase in the prevalence of ADHD among patients with type 1 DM [OR: 1.35 (95% CI: 1.08-1.73)]. Children with type 1 DM and ADHD had higher levels of hemoglobin A1c [standardized mean of differences: 0.67 (95% CI: 0.48-0.86)], and prevalence of hypoglycemic and ketoacidosis index compared with those without ADHD. CONCLUSION Our study revealed the bidirectional associations between ADHD and DM. Patients with ADHD and type 1 DM comorbidities were more likely to have poorer diabetes control. More studies are needed to confirm this association and elucidate the underlying mechanism.
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Effect of a multi-domain lifestyle intervention on cardiovascular risk in older people: the FINGER trial.
Lehtisalo, J, Rusanen, M, Solomon, A, Antikainen, R, Laatikainen, T, Peltonen, M, Strandberg, T, Tuomilehto, J, Soininen, H, Kivipelto, M, et al
European heart journal. 2022;43(21):2054-2061
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Older people are at high risk of cardiovascular disease, and 90% of the risk factors can be modified, including an unhealthy diet, poor physical activity, obesity, smoking, and obesity-related comorbidities. This randomised controlled trial examined a multifactorial approach combining several lifestyle modifications in 1259 older adults between 60 and 77 years of age to reduce the risk of cardiovascular disease. Participants were randomly assigned to intensive multi-domain lifestyle intervention or regular health advice control groups. The multifactorial lifestyle intervention incorporated dietary counselling, exercise training, cognitive training, and managing CVD and metabolic risk factors. Dietary interventions included tailored strategies that considered increased consumption of fruits, berries, vegetables, whole grains, margarine, oil, and fish. Physical exercise interventions included strength training, balance exercises, and aerobic exercises. Cognitive interventions and intensive strategies to manage metabolic factors were also implemented. In the multifactorial lifestyle intervention group, cerebrovascular events were lower after two years than in the control group. In addition, cardiovascular disease and stroke incidence were lower in the elderly with a history of cardiovascular disease. Healthcare professionals can use the results from this study to understand the benefits of multifactorial lifestyle interventions on cardiovascular disease. However, there is a need for longer-term robust studies since the evidence is sparse.
Abstract
AIMS: Joint prevention of cardiovascular disease (CVD) and dementia could reduce the burden of both conditions. The Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) demonstrated a beneficial effect on cognition (primary outcome) and we assessed the effect of this lifestyle intervention on incident CVD (pre-specified secondary outcome). METHODS AND RESULTS FINGER enrolled 1259 individuals aged 60-77 years (ClinicalTrials.gov NCT01041989). They were randomized (1:1) to a 2-year multi-domain intervention with diet, physical and cognitive activity, and vascular monitoring (n = 631), or general health advice (n = 628). National registries provided data on CVD including stroke, transient ischaemic attack (TIA), or coronary heart event. During an average of 7.4 years, 229 participants (18%) had at least one CVD diagnosis: 107 in the intervention group and 122 in the control group. The incidence of cerebrovascular events was lower in the intervention than the control group: hazard ratio (HR) for combined stroke/TIA was 0.71 [95% confidence interval (CI): 0.51-0.99] after adjusting for background characteristics. Hazard ratio for coronary events was 0.84 (CI: 0.56-1.26) and total CVD events 0.80 (95% CI: 0.61-1.04). Among those with history of CVD (n = 145), the incidence of both total CVD events (HR: 0.50, 95% CI: 0.28-0.90) and stroke/TIA (HR: 0.40, 95% CI: 0.20-0.81) was lower in the intervention than the control group. CONCLUSION A 2-year multi-domain lifestyle intervention among older adults was effective in preventing cerebrovascular events and also total CVD events among those who had history of CVD.
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More Than 50 Long-Term Effects of COVID-19: A Systematic Review and Meta-Analysis.
Lopez-Leon, S, Wegman-Ostrosky, T, Perelman, C, Sepulveda, R, Rebolledo, P, Cuapio, A, Villapol, S
Research square. 2021
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Symptoms, signs, or abnormal clinical parameters persisting two or more weeks after COVID-19 onset that do not return to a healthy baseline can potentially be considered long-term effects of the disease. The aim of this study was to estimate the incidence of all the symptoms, signs, or abnormal laboratory parameters extending beyond the acute phase of COVID-19 reported to date. This study is a systematic review and meta-analysis of 15 peer-reviewed studies that reported symptoms, signs, or laboratory parameters of patients at a post-COVID-19 stage (assessed two weeks or more after initial symptoms) in cohorts of COVID-19 patients. Results indicate that 80% (95% CI 65–92) of individuals with a confirmed COVID-19 diagnosis continued to have at least one overall effect beyond two weeks following acute infection. In total, 55 effects, including symptoms, signs, and laboratory parameters, were identified, with fatigue, anosmia [partial or complete loss of the sense of smell], lung dysfunction, abnormal chest X-ray/CT scan, and neurological disorders being the most common. Authors conclude that physicians should be aware of the symptoms, signs, and biomarkers present in patients previously affected by COVID-19 to promptly assess, identify and halt long COVID-19 progression, minimize the risk of chronic effects and help re-establish pre-COVID-19 health.
Abstract
Background. COVID-19, caused by SARS-CoV-2, can involve sequelae and other medical complications that last weeks to months after initial recovery, which has come to be called Long-COVID or COVID long-haulers. This systematic review and meta-analysis aims to identify studies assessing long-term effects of COVID-19 and estimates the prevalence of each symptom, sign, or laboratory parameter of patients at a post-COVID-19 stage. Methods . LitCOVID (PubMed and Medline) and Embase were searched by two independent researchers. All articles with original data for detecting long-term COVID-19 published before 1 st of January 2021 and with a minimum of 100 patients were included. For effects reported in two or more studies, meta-analyses using a random-effects model were performed using the MetaXL software to estimate the pooled prevalence with 95% CI. Heterogeneity was assessed using I 2 statistics. This systematic review followed Preferred Reporting Items for Systematic Reviewers and Meta-analysis (PRISMA) guidelines, although the study protocol was not registered. Results. A total of 18,251 publications were identified, of which 15 met the inclusion criteria. The prevalence of 55 long-term effects was estimated, 21 meta-analyses were performed, and 47,910 patients were included. The follow-up time ranged from 14 to 110 days post-viral infection. The age of the study participants ranged between 17 and 87 years. It was estimated that 80% (95% CI 65-92) of the patients that were infected with SARS-CoV-2 developed one or more long-term symptoms. The five most common symptoms were fatigue (58%), headache (44%), attention disorder (27%), hair loss (25%), and dyspnea (24%). All meta-analyses showed medium (n=2) to high heterogeneity (n=13). Conclusions . In order to have a better understanding, future studies need to stratify by sex, age, previous comorbidities, the severity of COVID-19 (ranging from asymptomatic to severe), and duration of each symptom. From the clinical perspective, multi-disciplinary teams are crucial to developing preventive measures, rehabilitation techniques, and clinical management strategies with whole-patient perspectives designed to address long COVID-19 care.
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'Long COVID': persistent COVID-19 symptoms in survivors managed in Lagos State, Nigeria.
Osikomaiya, B, Erinoso, O, Wright, KO, Odusola, AO, Thomas, B, Adeyemi, O, Bowale, A, Adejumo, O, Falana, A, Abdus-Salam, I, et al
BMC infectious diseases. 2021;21(1):304
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The spectrum of clinical presentation of COVID-19 ranges from the asymptomatic, to symptomatic with varying levels of severity depending on age, comorbid conditions, and basal metabolic index. The aim of this study was to highlight associations between socio-demographic characteristics and comorbidities with persistent symptoms in COVID-19 survivors. This study is a retrospective study using de-identified data of 274 COVID-19 survivors. A thorough clinical history and physical assessment was conducted for all patients. Results indicate that: - the most common symptom manifested by survivors was easy fatigability. - neurologic symptoms were found in 39.1% of the COVID-19 survivors. Symptoms included headaches, insomnia, and attention deficits. - there was no significant association between demographic factors and comorbidities such as hypertension or diabetes and the presence of persistent symptoms in COVID-19 survivors. Authors conclude these findings, together with evidence from other studies, can guide policies and interventions aimed at improving the quality of life of survivors and return to usual health.
Abstract
BACKGROUND Coronavirus disease once thought to be a respiratory infection is now recognised as a multi-system disease affecting the respiratory, cardiovascular, gastrointestinal, neurological, immune, and hematopoietic systems. An emerging body of evidence suggests the persistence of COVID-19 symptoms of varying patterns among some survivors. This study aimed to describe persistent symptoms in COVID-19 survivors and investigate possible risk factors for these persistent symptoms. METHODS The study used a retrospective study design. The study population comprised of discharged COVID-19 patients. Demographic information, days since discharge, comorbidities, and persistent COVID-19 like symptoms were assessed in patients attending the COVID-19 outpatient clinic in Lagos State. Statistical analysis was done using STATA 15.0 software (StataCorp Texas) with significance placed at p-value < 0.05. RESULTS A total of 274 patients were enrolled in the study. A majority were within the age group > 35 to ≤49 years (38.3%), and male (66.1%). More than one-third (40.9%) had persistent COVID-19 symptoms after discharge, and 19.7% had more than three persistent COVID-like symptoms. The most persistent COVID-like symptoms experienced were easy fatigability (12.8%), headaches (12.8%), and chest pain (9.8%). Symptomatic COVID-19 disease with moderate severity compared to mild severity was a predictor of persistent COVID-like symptoms after discharge (p < 0.05). CONCLUSION Findings from this study suggests that patients who recovered from COVID-19 disease may still experience COVID-19 like symptoms, particularly fatigue and headaches. Therefore, careful monitoring should be in place after discharge to help mitigate the effects of these symptoms and improve the quality of life of COVID-19 survivors.
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Effectiveness of Health Coaching in Diabetes Control and Lifestyle Improvement: A Randomized-Controlled Trial.
Lin, CL, Huang, LC, Chang, YT, Chen, RY, Yang, SH
Nutrients. 2021;13(11)
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World Health Organization statistics indicate that over 400 million people worldwide have Type 2 Diabetes. Health coaching is an approach to diabetes management that empowers patients to make healthier choices by changing their behaviours. This two-arm randomised controlled trial evaluated the effectiveness of health coaching in reducing blood sugar levels and following a healthy diet among Type 2 diabetic patients. Patients with diabetes improved their HbA1c by 0.62% after six months of health coaching. Through health coaching, patients were also able to reduce their calorie intake significantly by reducing their consumption of whole grains, meat, proteins, fats and oils and increasing their intake of vegetables. In the intervention group, diet modifications were also associated with a decrease in HbA1c. The benefits of health coaching in Type 2 diabetes management needs to be confirmed in more robust studies. However, healthcare professionals can use the results of this study to understand how behaviour change in diabetic patients contributes to blood sugar management and healthy eating.
Abstract
BACKGROUND The study aimed to look into the effectiveness of a 6-month health coaching intervention for HbA1c and healthy diet in the treatment of patients with type 2 diabetes. METHODS The study was carried out via a two-armed, randomized controlled trial that included 114 diabetic patients at a medical center in Taiwan. During the 6-month period, the intervention group had health coaching and usual care for 6 months, and the control group had usual care only. The outcome variables were HbA1c level and healthy diet for follow-up measurement in the third and sixth month. RESULTS The study discovered a significant decrease in HbA1c and health diet improvement after the 6-month health coaching. Patients in the intervention group decreased their daily intake of whole grains, fruits, meats and protein, and fats and oils while increasing their vegetables intake. CONCLUSIONS Health coaching may be conducive to the blood sugar control and healthy diet of patients with type 2 diabetes. Further study on health coaching with higher-quality evidence is needed.
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Eating Behaviour Changes during the COVID-19 Pandemic: A Systematic Review of Longitudinal Studies.
González-Monroy, C, Gómez-Gómez, I, Olarte-Sánchez, CM, Motrico, E
International journal of environmental research and public health. 2021;18(21)
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The appearance of coronavirus disease 2019 (COVID-19), has led not only to changes in relationship patterns but also lifestyle habits. The aim of this study was to evaluate eating behaviour changes during the COVID-19 pandemic by establishing a comparison of eating behaviours before and after the outbreak of the pandemic. This study is a systematic review of 23 longitudinal studies. Results indicate that: - the frequency of meals is not associated with the amount of food eaten. - there was not a correlation between gender and age with specific eating behaviours. Authors conclude that further research focusing not only on food intake but also on alcohol consumption and its consequences is required. This may aid in the development of a progression of ‘eating behaviour during a state of alarm’ and in the establishment of a benchmark for future directions to help improve guidelines for achieving proper nutrition aimed at the new normality.
Abstract
Eating behaviour is a complex construct that is liable to be modified by external factors. Due to the outbreak of coronavirus disease 2019 (COVID-19), many restrictive measures were carried out with the aim of reducing the impact of this disease. As a result, lifestyles were disrupted, which could affect eating behaviours. The aim of this systematic review of longitudinal studies was to assess changes in eating behaviour during the COVID-19 pandemic by establishing a comparison of eating behaviours before and after the outbreak of the pandemic. This study followed the PRISMA guidelines (PROSPERO CRD42020203246), whereas to assess the quality of the studies, the Newcastle-Ottawa Quality Assessment Scale (NOS) was applied. Out of a set of 826 studies, 23 were included in this systematic review. The main findings provided information about a shift towards modified eating behaviours, characterized by an increased snack frequency and a preference for sweets and ultra-processed food rather than fruits, vegetables, and fresh food. Additionally, an increased alcohol consumption was found among different countries. Consequently, adherence to healthy diets decreased. These findings are relevant to future policies and strategies to assess nutrition in cases of alarming situations such as the current COVID-19 pandemic.
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6-month neurological and psychiatric outcomes in 236 379 survivors of COVID-19: a retrospective cohort study using electronic health records.
Taquet, M, Geddes, JR, Husain, M, Luciano, S, Harrison, PJ
The lancet. Psychiatry. 2021;8(5):416-427
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Recent literature shows that COVID-19 survivors might be at an increased risk of neurological and psychiatric disorders. The aim of this study was to investigate the incidence of neurological and psychiatric diagnoses in survivors in the 6 months after documented clinical COVID-19 infection. This study is a retrospective cohort study with the primary cohort comprised of 236,379 patients diagnosed with COVID-19 and two propensity-score-matched control cohorts. The primary cohort was divided into one of the four subgroups. Results indicate that the severity of COVID-19 had a clear effect on subsequent neurological diagnoses. In fact, COVID-19 was associated with an increased risk of neurological and psychiatric outcomes. However, the incidences and hazard ratio of these were greater in patients who had required hospitalisation, and particularly those who required ITU admission or developed encephalopathy, even after extensive propensity score matching for other factors. Authors conclude that COVID-19 is followed by significant rates of neurological and psychiatric diagnoses over the subsequent 6 months.
Abstract
BACKGROUND Neurological and psychiatric sequelae of COVID-19 have been reported, but more data are needed to adequately assess the effects of COVID-19 on brain health. We aimed to provide robust estimates of incidence rates and relative risks of neurological and psychiatric diagnoses in patients in the 6 months following a COVID-19 diagnosis. METHODS For this retrospective cohort study and time-to-event analysis, we used data obtained from the TriNetX electronic health records network (with over 81 million patients). Our primary cohort comprised patients who had a COVID-19 diagnosis; one matched control cohort included patients diagnosed with influenza, and the other matched control cohort included patients diagnosed with any respiratory tract infection including influenza in the same period. Patients with a diagnosis of COVID-19 or a positive test for SARS-CoV-2 were excluded from the control cohorts. All cohorts included patients older than 10 years who had an index event on or after Jan 20, 2020, and who were still alive on Dec 13, 2020. We estimated the incidence of 14 neurological and psychiatric outcomes in the 6 months after a confirmed diagnosis of COVID-19: intracranial haemorrhage; ischaemic stroke; parkinsonism; Guillain-Barré syndrome; nerve, nerve root, and plexus disorders; myoneural junction and muscle disease; encephalitis; dementia; psychotic, mood, and anxiety disorders (grouped and separately); substance use disorder; and insomnia. Using a Cox model, we compared incidences with those in propensity score-matched cohorts of patients with influenza or other respiratory tract infections. We investigated how these estimates were affected by COVID-19 severity, as proxied by hospitalisation, intensive therapy unit (ITU) admission, and encephalopathy (delirium and related disorders). We assessed the robustness of the differences in outcomes between cohorts by repeating the analysis in different scenarios. To provide benchmarking for the incidence and risk of neurological and psychiatric sequelae, we compared our primary cohort with four cohorts of patients diagnosed in the same period with additional index events: skin infection, urolithiasis, fracture of a large bone, and pulmonary embolism. FINDINGS Among 236 379 patients diagnosed with COVID-19, the estimated incidence of a neurological or psychiatric diagnosis in the following 6 months was 33·62% (95% CI 33·17-34·07), with 12·84% (12·36-13·33) receiving their first such diagnosis. For patients who had been admitted to an ITU, the estimated incidence of a diagnosis was 46·42% (44·78-48·09) and for a first diagnosis was 25·79% (23·50-28·25). Regarding individual diagnoses of the study outcomes, the whole COVID-19 cohort had estimated incidences of 0·56% (0·50-0·63) for intracranial haemorrhage, 2·10% (1·97-2·23) for ischaemic stroke, 0·11% (0·08-0·14) for parkinsonism, 0·67% (0·59-0·75) for dementia, 17·39% (17·04-17·74) for anxiety disorder, and 1·40% (1·30-1·51) for psychotic disorder, among others. In the group with ITU admission, estimated incidences were 2·66% (2·24-3·16) for intracranial haemorrhage, 6·92% (6·17-7·76) for ischaemic stroke, 0·26% (0·15-0·45) for parkinsonism, 1·74% (1·31-2·30) for dementia, 19·15% (17·90-20·48) for anxiety disorder, and 2·77% (2·31-3·33) for psychotic disorder. Most diagnostic categories were more common in patients who had COVID-19 than in those who had influenza (hazard ratio [HR] 1·44, 95% CI 1·40-1·47, for any diagnosis; 1·78, 1·68-1·89, for any first diagnosis) and those who had other respiratory tract infections (1·16, 1·14-1·17, for any diagnosis; 1·32, 1·27-1·36, for any first diagnosis). As with incidences, HRs were higher in patients who had more severe COVID-19 (eg, those admitted to ITU compared with those who were not: 1·58, 1·50-1·67, for any diagnosis; 2·87, 2·45-3·35, for any first diagnosis). Results were robust to various sensitivity analyses and benchmarking against the four additional index health events. INTERPRETATION Our study provides evidence for substantial neurological and psychiatric morbidity in the 6 months after COVID-19 infection. Risks were greatest in, but not limited to, patients who had severe COVID-19. This information could help in service planning and identification of research priorities. Complementary study designs, including prospective cohorts, are needed to corroborate and explain these findings. FUNDING National Institute for Health Research (NIHR) Oxford Health Biomedical Research Centre.
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Mediterranean Diet and its Benefits on Health and Mental Health: A Literature Review.
Ventriglio, A, Sancassiani, F, Contu, MP, Latorre, M, Di Slavatore, M, Fornaro, M, Bhugra, D
Clinical practice and epidemiology in mental health : CP & EMH. 2020;16(Suppl-1):156-164
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Mediterranean Diet (MD) is currently considered one of the healthiest dietary models worldwide due to the high intake of antioxidants, dietary fibre, monounsaturated and omega-3 fatty acids, phytosterols and probiotics. The aim of this review was to present current literature showing evidence on the possible impact of MD on health and mental health. The review was based on 27 articles of which 13 were carried out in Spain, 3 in the USA, 3 in Italy, 4 in Australia and 4 in other EU countries. Literature shows that MD improves: - metabolic cardiovascular parameters with a reduced incidence of major cardiovascular events by approximately 30%. - metabolic balance in patients affected by type 2 diabetes mellitus. - biochemical markers for metabolic disorders as well as in patients at risk of specific cancer diseases. Additionally, not enough data is available on the MD effects on specific psychopathological issues. In fact, besides adherence to MD, other factors - which should be further investigated - also play a role in the effectiveness of the MD. Authors conclude that further studies are needed to address the efficacy of diet as an adjunctive treatment for mental disorders as well as for the management of comorbid cardiovascular and metabolic issues.
Abstract
Mediterranean Diet (MD) is currently considered one of the most healthy dietary models worldwide. It is generally based on the daily intake of fruit and vegetables, whole grains, legumes, nuts, fish, white meats, and olive oil. It may also include moderate consumption of fermented dairy products, a low intake of red meat, and red/white wine during the main course. Even if the effect of MD on cancer prevention as well as on human metabolic and cardiovascular balance has been discussed, including the quality of life of the exposed population, the putative effects on mental health are still not properly investigated. This narrative review reports on some emerging pieces of evidence on the possible impact of MD on general health and the outcome of psychiatric disorders (e.g., major depression, anxiety) and encourages further studies to test the benefits of healthy food selection on the health of the general population.