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PloS One 2023Nutrition affects both physical and mental health but evidence is mixed regarding potential associations between anxiety and diet, particularly dairy consumption. We...
BACKGROUND
Nutrition affects both physical and mental health but evidence is mixed regarding potential associations between anxiety and diet, particularly dairy consumption. We conducted a systematic literature review (SLR) of dairy consumption and/or various dietary patterns and risk of anxiety.
METHODS
Literature searches were conducted in PubMed and Embase. All study designs except case reports, small case series, and SLRs were considered for inclusion. Reference lists of previously published SLRs were reviewed for any relevant additional studies. Studies of populations without dairy sensitivities exploring the association between dietary patterns and/or dairy consumption and anxiety published through May 2022 were identified using predefined eligibility criteria. Study quality was determined using the Academy of Nutrition and Dietetics Quality Criteria Checklist.
RESULTS
For this SLR, 132 studies were included; 80 were cross-sectional. Studies examined different dietary patterns (e.g., Mediterranean, gluten-free) and anxiety using various anxiety scales, with 19 studies specifically reporting on whole dairy consumption and anxiety. Dairy consumption was significantly associated with a lower risk of anxiety in 7 studies, while the remaining 12 studies showed no significant associations. Evidence was mixed for the association between various dietary patterns and anxiety, but more studies observed a lower risk of anxiety with greater adherence to "healthy" diets (e.g., Mediterranean, diet quality score, vegetarian/vegan) than a higher risk. Notable heterogeneity in study populations, time periods, geographical locations, dietary assessment methods, and anxiety scales was observed.
CONCLUSIONS
The results of this SLR suggest a potential link between diet including diary consumption and anxiety, but future studies, especially with longitudinal designs that measure diet and anxiety at several timepoints and comprehensively adjust for confounders, are needed to fully understand the relationship between diet and anxiety.
Topics: Humans; Diet; Anxiety; Anxiety Disorders; Feeding Behavior; Dietary Patterns
PubMed: 38153944
DOI: 10.1371/journal.pone.0295975 -
Industrial Psychiatry Journal 2023There is good evidence to suggest that high prevalence of depression and anxiety in the postpartum period. However, very few studies have focused on antenatal depression... (Review)
Review
There is good evidence to suggest that high prevalence of depression and anxiety in the postpartum period. However, very few studies have focused on antenatal depression and anxiety disorders and their associated risk factors. Further, there are only a handful of studies from India on common antenatal mental health disorders. With this background, we reviewed the existing evidence on antenatal depression and anxiety from the studies conducted in Indian pregnant women during the antenatal period and to explore the associated risk factors. All the major databases were searched systematically for English language studies on prevalence and risk factors for antenatal depression and anxiety in Indian pregnant females, published during the period January 2000 to May 2022. Quality assessment of studies was done with the modified version of Newcastle Ottawa Scale for cross-sectional studies. We found the overall prevalence of antenatal depression was ranged from 3.8% to 65% and antenatal anxiety from 13 to 55%. The most relevant risk factors associated with antenatal depression and anxiety during pregnancy were preference to have a male child, intimate partner violence, history of abortions, marital conflict, poor relationship with the husband/in-laws and lack of social support. To conclude, the systematic review suggests that depressive and anxiety disorders are quite common in Indian pregnant women in antepartum period with varying prevalence depending on various settings and scales used. Steps should be taken to promote obstetricians for regular mental health screening during the antenatal visits and prompt referral to mental health professionals when suspected.
PubMed: 38161466
DOI: 10.4103/ipj.ipj_156_22 -
Acta Neurologica Belgica Aug 2023This meta-analysis aimed to determine the prevalence, symptoms, and outcomes of COVID-19 in the elderly with Parkinson's disease (PD) by searching in the international... (Meta-Analysis)
Meta-Analysis Review
This meta-analysis aimed to determine the prevalence, symptoms, and outcomes of COVID-19 in the elderly with Parkinson's disease (PD) by searching in the international databases of PubMed, Scopus, Web of Sciences, and EMBASE using the keywords of "COVID-19" and "Parkinson's." All articles related to Parkinson's disease and COVID-19 from January 2019 to October 20, 2021 were reviewed. The STATA software was used for analysis. A total of 20 articles were selected for data extraction in this meta-analysis, of which ten were cross-sectional studies (to determine the prevalence), five case-control studies, and five cohort studies (to examine the association). The results of the meta-analysis showed the prevalence of COVID-19 in patients with PD was 1.06% (95% CI 1.03-1.1%; P = 0.02), and the prevalence of their hospitalization due to COVID-19 was 0.98% (95% CI: 0.95-1.02%; P = 0.00). Also, the prevalence of depression and anxiety during the pandemic in this group was 46% (95% CI 29-64%; P = 0.00) and 43% (95% CI: 24-63%; P = 0.00), respectively. The prevalence of tremor and sleep problems were higher than those of other symptoms in the studied population. According to the results, there was no significant difference in the risk of COVID-19 infection between Parkinson's patients and healthy people. In other words, the risk of COVID-19 infection was equal in both groups (RR = 1.00 (CI 95% 0.77-1.30%; P = 0.15)). The results showed mortality and hospitalization rates of the elderly with Parkinson's disease were not significantly different from those of the general population during the COVID-19 pandemic. Also, the symptoms of Parkinson's disease and mental disorders increased during the COVID-19 pandemic. So, designing and developing more specific studies, like cohort studies, with large sample size is required for assessing these associations.
Topics: Humans; Aged; COVID-19; Parkinson Disease; Pandemics; Anxiety; Tremor
PubMed: 36385247
DOI: 10.1007/s13760-022-02141-6 -
The Journal of Maternal-fetal &... Dec 2023To measure the prevalence of maternal anxiety, depression and posttraumatic stress disorder (PTSD) in those exposed to natural disasters.
OBJECTIVE
To measure the prevalence of maternal anxiety, depression and posttraumatic stress disorder (PTSD) in those exposed to natural disasters.
METHODS
A literature search of the PubMed database and www.clinicaltrials.gov from January 1990 through June 2020 was conducted. A PRISMA review of the available literature regarding the incidence and prevalence of maternal anxiety, depression and posttraumatic stress disorder (PTSD) following natural disasters was performed. A natural disaster was defined as one of the following: pandemic, hurricane, earthquake and post-political conflict/displacement of people. Studies were selected that were population-based, prospective or retrospective. Case reports and case series were not used. The primary outcome was the prevalence of maternal anxiety, depression and PTSD in the post-disaster setting. Two independent extractors (I.F. & H.G.) assessed study quality using an adapted version of the Effective Public Health Practice Project Quality Assessment tool. Given the small number of studies that met inclusion criteria, all 22 studies were included, regardless of rating. Data were extracted and aggregate rates of depression, anxiety, and PTSD were calculated to provide synthesized rates of maternal mental health conditions among participants.
RESULTS
Twenty-two studies met the inclusion criteria. A total of 8357 pregnant or birthing persons in the antepartum and postpartum periods were studied. The prevalence of post-pandemic anxiety, depression and PTSD were calculated to be 48.2%, 27.3%, and 22.9%. Post-earthquake depression and PTSD rates were 38.8% and 22.4%. The prevalence of post-hurricane anxiety, depression and PTSD were 17.4%, 22.5%, and 8.2%. The rates of post-political conflict anxiety, depression and PTSD were 48.8%, 31.6% and 18.5%.
CONCLUSION
Given the high rates of anxiety, depression and PTSD among pregnant and birthing persons living through the challenges of natural disasters, obstetrician-gynecologists must be able to recognize this group of patients, and provide a greater degree of psychosocial support.
Topics: Pregnancy; Female; Humans; Stress Disorders, Post-Traumatic; Depression; Retrospective Studies; Prospective Studies; Anxiety; Earthquakes
PubMed: 37031972
DOI: 10.1080/14767058.2023.2199345 -
Journal of Medical Internet Research Nov 2023Anxiety disorders rank among the most prevalent mental disorders worldwide. Anxiety symptoms are typically evaluated using self-assessment surveys or interview-based... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Anxiety disorders rank among the most prevalent mental disorders worldwide. Anxiety symptoms are typically evaluated using self-assessment surveys or interview-based assessment methods conducted by clinicians, which can be subjective, time-consuming, and challenging to repeat. Therefore, there is an increasing demand for using technologies capable of providing objective and early detection of anxiety. Wearable artificial intelligence (AI), the combination of AI technology and wearable devices, has been widely used to detect and predict anxiety disorders automatically, objectively, and more efficiently.
OBJECTIVE
This systematic review and meta-analysis aims to assess the performance of wearable AI in detecting and predicting anxiety.
METHODS
Relevant studies were retrieved by searching 8 electronic databases and backward and forward reference list checking. In total, 2 reviewers independently carried out study selection, data extraction, and risk-of-bias assessment. The included studies were assessed for risk of bias using a modified version of the Quality Assessment of Diagnostic Accuracy Studies-Revised. Evidence was synthesized using a narrative (ie, text and tables) and statistical (ie, meta-analysis) approach as appropriate.
RESULTS
Of the 918 records identified, 21 (2.3%) were included in this review. A meta-analysis of results from 81% (17/21) of the studies revealed a pooled mean accuracy of 0.82 (95% CI 0.71-0.89). Meta-analyses of results from 48% (10/21) of the studies showed a pooled mean sensitivity of 0.79 (95% CI 0.57-0.91) and a pooled mean specificity of 0.92 (95% CI 0.68-0.98). Subgroup analyses demonstrated that the performance of wearable AI was not moderated by algorithms, aims of AI, wearable devices used, status of wearable devices, data types, data sources, reference standards, and validation methods.
CONCLUSIONS
Although wearable AI has the potential to detect anxiety, it is not yet advanced enough for clinical use. Until further evidence shows an ideal performance of wearable AI, it should be used along with other clinical assessments. Wearable device companies need to develop devices that can promptly detect anxiety and identify specific time points during the day when anxiety levels are high. Further research is needed to differentiate types of anxiety, compare the performance of different wearable devices, and investigate the impact of the combination of wearable device data and neuroimaging data on the performance of wearable AI.
TRIAL REGISTRATION
PROSPERO CRD42023387560; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=387560.
Topics: Humans; Artificial Intelligence; Anxiety; Anxiety Disorders; Algorithms; Databases, Factual
PubMed: 37938883
DOI: 10.2196/48754 -
Archives of Women's Mental Health Aug 2023Maternal psychological distress and mother-infant bonding problems each predict poorer offspring outcomes. They are also related to each other, yet the extensive... (Meta-Analysis)
Meta-Analysis Review
PURPOSE
Maternal psychological distress and mother-infant bonding problems each predict poorer offspring outcomes. They are also related to each other, yet the extensive literature reporting their association has not been meta-analysed.
METHODS
We searched MEDLINE, PsycINFO, CINAHL, Embase, ProQuest DTG, and OATD for English-language peer-reviewed and grey literature reporting an association between mother-infant bonding, and multiple indicators of maternal psychological distress.
RESULTS
We included 133 studies representing 118 samples; 99 samples (110,968 mothers) were eligible for meta-analysis. Results showed concurrent associations across a range of timepoints during the first year postpartum, between bonding problems and depression (r = .27 [95% CI 0.20, 0.35] to r = .47 [95% CI 0.41, 0.53]), anxiety (r = .27 [95% CI 0.24, 0.31] to r = .39 [95% CI 0.15, 0.59]), and stress (r = .46 [95% CI 0.40, 0.52]). Associations between antenatal distress and subsequent postpartum bonding problems were mostly weaker and with wider confidence intervals: depression (r = .20 [95% CI 0.14, 0.50] to r = .25 [95% CI 0.64, 0.85]), anxiety (r = .16 [95% CI 0.10, 0.22]), and stress (r = .15 [95% CI - 0.67, 0.80]). Pre-conception depression and anxiety were associated with postpartum bonding problems (r = - 0.17 [95% CI - 0.22, - 0.11]).
CONCLUSION
Maternal psychological distress is associated with postpartum mother-infant bonding problems. Co-occurrence of psychological distress and bonding problems is common, but should not be assumed. There may be benefit in augmenting existing perinatal screening programs with well-validated mother-infant bonding measures.
Topics: Pregnancy; Female; Infant; Humans; Mothers; Mother-Child Relations; Postpartum Period; Parturition; Anxiety; Obstetric Labor Complications; Object Attachment; Depression, Postpartum
PubMed: 37316760
DOI: 10.1007/s00737-023-01332-1 -
JAMA Network Open Oct 2023Mental disorders among children and adolescents are global health concerns. Published studies have provided discordant results regarding treatment rates for mental... (Meta-Analysis)
Meta-Analysis
IMPORTANCE
Mental disorders among children and adolescents are global health concerns. Published studies have provided discordant results regarding treatment rates for mental disorders among youths.
OBJECTIVE
To estimate combined treatment rates for several common psychiatric disorders among children and adolescents.
DATA SOURCES
PubMed, Web of Science, PsycINFO, Scopus, and Embase were searched from database inception until September 23, 2022, and supplemented with hand-searching of reference lists.
STUDY SELECTION
Included studies were those that used validated methods to report treatment rates for any mental disorder, depressive disorders, anxiety disorders, attention-deficit/hyperactivity disorder (ADHD), and behavior disorders among children and adolescents.
DATA EXTRACTION AND SYNTHESIS
This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guideline. Two reviewers independently assessed study eligibility, extracted data, and scored quality. Studies with a Joanna Briggs Institute score of 5 or more were included in the meta-analysis. Treatment rates were pooled using random-effects models. Subgroup analyses were performed to investigate the association with treatment rates of factors, such as year of data collection, World Health Organization region, age, income level, timeframe of diagnosis, informant source, service type, sample origin, and internalizing or externalizing disorder.
MAIN OUTCOMES AND MEASURES
Treatment rates for mental disorders among children and adolescents were the main outcomes, measured as percentage estimates.
RESULTS
Forty studies were included in the analysis, comprising 310 584 children and adolescents, with boys accounting for 39% of participants (sex was not reported in 10 studies). The pooled treatment rate was 38% (95% CI, 30%-45%) for any mental disorder, 36% (95% CI, 29%-43%) for depressive disorders, 31% (95% CI, 21%-42%) for anxiety disorders, 58% (95% CI, 42%-73%) for ADHD, and 49% (95% CI, 35%-64%) for behavior disorders. Age, income level, and region were significantly associated with the combined treatment rates of mental disorders in children and adolescents. The treatment rate for depressive disorders was higher among adolescents than children (36% [95% CI, 25%-46%] vs 11% [95% CI, 0%-25%]), whereas the treatment rate for anxiety disorders was higher among children than adolescents (64% [95% CI, 52%-75%] vs 20% [95% CI, 9%-30%]). The treatment rate for any mental disorder in lower-middle income countries was 6% (95% CI, 2%-14%), in upper-middle income countries was 24% (95% CI, 2%-47%), and in high-income countries was 43% (95% CI, 35%-52%). For depressive disorders, treatment rates were higher in the Americas (40% [95% CI, 30%-51%]) than in Europe (28% [95% CI, 13%-43%]) and the Western Pacific region (6% [95% CI, 1%-16%]).
CONCLUSIONS AND RELEVANCE
This study suggests that, in general, the treatment rates for mental disorders among children and adolescents were low, especially for depression and anxiety. Targeted intervention policies and effective measures should be designed and implemented to improve treatment rates of psychiatric disorders among youths.
Topics: Male; Adolescent; Child; Humans; Anxiety Disorders; Anxiety; Attention Deficit Disorder with Hyperactivity; Conduct Disorder; Combined Modality Therapy
PubMed: 37851443
DOI: 10.1001/jamanetworkopen.2023.38174 -
BMC Oral Health Sep 2023Tooth extraction is a common procedure performed by oral and maxillofacial surgeons or dentists, often resulting in dental fear and anxiety. The use of relaxing music,... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Tooth extraction is a common procedure performed by oral and maxillofacial surgeons or dentists, often resulting in dental fear and anxiety. The use of relaxing music, audiovisuals, and virtual reality (VR) technologies has been employed to reduce dental anxiety. This network meta-analysis (NMA) aimed to assess the comparative effectiveness of relaxing music, audiovisuals, and VR in reducing dental anxiety associated with tooth extraction.
METHODS
Four electronic databases were searched up to March 8, 2023, to identify randomized controlled trials (RCTs) evaluating different multimedia interventions, including the application of using relaxing music, audiovisuals, and VR technologies for dental anxiety. Studies utilizing various anxiety scales for tooth extraction were considered eligible. The pooled standard mean difference (SMD) and 95% confidence interval (CI) of anxiety scale scores were analyzed using Bayesian NMA.
RESULTS
A total of 11 RCTs were included in this NMA. The Bayesian NMA results demonstrated that relaxing music (SMD = -0.64, 95% CI: -1.04, -0.25) and VR (SMD = -0.54, 95% CI: -1.08, -0.02) were associated with a reduction in dental anxiety, while audiovisuals (SMD = -0.34, 95% CI: -0.97, 0.33) required further consideration. Ranking probabilities indicated that relaxing music might be the most acceptable method for individuals with dental anxiety. The frequentist NMA yielded consistent rankings in a sensitivity analysis.
CONCLUSIONS
Relaxing music shows the greatest potential for reducing dental anxiety related to tooth extraction when compared to other multimedia interventions.
Topics: Humans; Dental Anxiety; Music; Music Therapy; Network Meta-Analysis; Tooth Extraction
PubMed: 37735362
DOI: 10.1186/s12903-023-03407-y -
Acta Psychologica Nov 2023With the increasing popularity and accessibility of video games, the public concern about their effects - positive and negative - has also increased. In this regard,... (Meta-Analysis)
Meta-Analysis Review
With the increasing popularity and accessibility of video games, the public concern about their effects - positive and negative - has also increased. In this regard, this systematic review sought to identify and thematically analyze recent studies (in the last five years) and report on video games' epidemiological characteristics and outcomes. A systematic database search was done on ScienceDirect, APA PsycINFO, Emerald, and Scopus databases for articles published from January 1, 2017, to April 1, 2022. The Meta XL software - an add-in for Microsoft Excel - was used to calculate the pooled prevalence level of video game addiction. The database search yielded a total of 693 non-duplicate articles. After applying the inclusion and exclusion criteria, 27 articles were selected to be included in the systematic review. Along with this, 12 articles were considered for the final meta-analysis. The pooled prevalence level of gaming addiction was 5.0 % (95 % CI, 2.1-8.8 %). The I value was 99.297 with a p-value of 0.000. The factors that accompanied addictive video gaming were psychological, social, and personal. An addictive gaming behavior was characterized by spending an above-average time on gaming, doing most of the gaming online, and gaming activities interfering with sleep patterns. Some predictors of addictive gaming were emotional dependence, social detachment, increased gaming time, preference for playing online than offline, and increased emotional and psychological stress. Engaging in addictive gaming led to adverse outcomes such as lower academic scores, depression, and anxiety, as well as decreased self-esteem, life satisfaction, and social support. From the collected findings it could be concluded that extreme playing of video games can be classified as addictive. Following the identification of risk factors, appropriate corrective or interventional measures should be developed and applied coherently to newer statistical data.
Topics: Humans; Video Games; Technology Addiction; Behavior, Addictive; Self Concept; Anxiety; Internet
PubMed: 37897856
DOI: 10.1016/j.actpsy.2023.104047 -
European Neuropsychopharmacology : the... Jul 2023The endocannabinoid system is a promising candidate for anxiolytic therapy, but translation to the clinic has been lagging. We meta-analyzed the evidence for... (Meta-Analysis)
Meta-Analysis Review
The endocannabinoid system is a promising candidate for anxiolytic therapy, but translation to the clinic has been lagging. We meta-analyzed the evidence for anxiety-reduction by compounds that facilitate endocannabinoid signaling in humans and animals. To identify areas of specific potential, effects of moderators were assessed. Literature was searched in Pubmed and Embase up to May 2021. A placebo/vehicle-control group was required and in human studies, randomization. We excluded studies that co-administered other substances. Risk of bias was assessed with SYRCLE's RoB tool and Cochrane RoB 2.0. We conducted three-level random effects meta-analyses and explored sources of heterogeneity using Bayesian regularized meta-regression (BRMA). The systematic review yielded 134 studies. We analyzed 120 studies (114 animal, 6 human) that investigated cannabidiol (CBD, 61), URB597 (39), PF-3845 (6) and AM404 (14). Pooled effects on conditioned and unconditioned anxiety in animals (with the exception of URB597 on unconditioned anxiety) and on experimentally induced anxiety in humans favored the investigational drugs over placebo/vehicle. Publication year was negatively associated with effects of CBD on unconditioned anxiety. Compared to approach avoidance tests, tests of repetitive-compulsive behavior were associated with larger effects of CBD and URB597, and the social interaction test with smaller effects of URB597. Larger effects of CBD on unconditioned anxiety were observed when anxiety pre-existed. Studies reported few side effects at therapeutic doses. The evidence quality was low with indications of publication bias. More clinical trials are needed to translate the overall positive results to clinical applications.
Topics: Animals; Humans; Anti-Anxiety Agents; Endocannabinoids; Bayes Theorem; Anxiety; Cannabidiol
PubMed: 37094409
DOI: 10.1016/j.euroneuro.2023.04.001