scholarly journals Do psychiatric diseases follow annual cyclic seasonality?

PLoS Biology ◽  
2021 ◽  
Vol 19 (7) ◽  
pp. e3001347
Author(s):  
Hanxin Zhang ◽  
Atif Khan ◽  
Qi Chen ◽  
Henrik Larsson ◽  
Andrey Rzhetsky

Seasonal affective disorder (SAD) famously follows annual cycles, with incidence elevation in the fall and spring. Should some version of cyclic annual pattern be expected from other psychiatric disorders? Would annual cycles be similar for distinct psychiatric conditions? This study probes these questions using 2 very large datasets describing the health histories of 150 million unique U.S. citizens and the entire Swedish population. We performed 2 types of analysis, using “uncorrected” and “corrected” observations. The former analysis focused on counts of daily patient visits associated with each disease. The latter analysis instead looked at the proportion of disease-specific visits within the total volume of visits for a time interval. In the uncorrected analysis, we found that psychiatric disorders’ annual patterns were remarkably similar across the studied diseases in both countries, with the magnitude of annual variation significantly higher in Sweden than in the United States for psychiatric, but not infectious diseases. In the corrected analysis, only 1 group of patients—11 to 20 years old—reproduced all regularities we observed for psychiatric disorders in the uncorrected analysis; the annual healthcare-seeking visit patterns associated with other age-groups changed drastically. Analogous analyses over infectious diseases were less divergent over these 2 types of computation. Comparing these 2 sets of results in the context of published psychiatric disorder seasonality studies, we tend to believe that our uncorrected results are more likely to capture the real trends, while the corrected results perhaps reflect mostly artifacts determined by dominantly fluctuating, health-seeking visits across a given year. However, the divergent results are ultimately inconclusive; thus, we present both sets of results unredacted, and, in the spirit of full disclosure, leave the verdict to the reader.

2019 ◽  
Vol 08 (01) ◽  
pp. 011-015 ◽  
Author(s):  
Raj Kumar ◽  
Arushi Kumar ◽  
Amit Singh

AbstractTraumatic brain injury (TBI) is known as “silent epidemic” because of lack of knowledge about it and its delayed symptoms of memory and cognitive problems. The incidence is approximately 1.4 million per year in the United States, and in the developing countries, it is approximately 341 per 100,000. In the United States, the annual productivity loss due to TBI and its delayed effects is more than $56 billion. TBIs occur mainly due to traffic accidents and falls. All the age groups are affected, but the rates are higher in men than in women. The causes vary as per the age groups as traumas affect mainly children and elderly, and traffic accidents and violence affect more of adolescents and young adults. Data from various studies indicate wide variation in the incidence and prevalence of psychiatric disorders after TBI, but they are definitely higher as compared with general population. We also noted different psychiatric disorders in post head injury cases during follow-up at our university hospital, which included depression, behavioral disorders, cognitive disorders, memory impairment, anxiety disorders, stress-related headache, vertigo, irritability and sleep disorders, etc. Therefore, this review was undertaken to assess the psychosocial impact of brain injury on an individual.


2019 ◽  
Author(s):  
Arianna M. Gard ◽  
Erin B. Ware ◽  
Luke W. Hyde ◽  
Lauren Schmitz ◽  
Jessica Faul ◽  
...  

AbstractAlthough psychiatric phenotypes are hypothesized to organize into a two-factor internalizing – externalizing structure, few studies have evaluated the structure of psychopathology in older adults, nor explored whether genome-wide polygenic scores (PGSs) are associated with psychopathology in a domain-specific manner. We used data from 6,216 individuals of European ancestry from the Health and Retirement Study, a large population-based sample of older adults in the United States. Confirmatory factor analyses were applied to validated measures of psychopathology and PGSs were derived from well-powered GWAS. Genomic SEM was implemented to construct latent PGSs for internalizing, externalizing, and general psychopathology. Phenotypically, the data were best characterized by a single general factor of psychopathology, a factor structure that was replicated across genders and age groups. Although externalizing PGSs (cannabis use, antisocial behavior, alcohol dependence, ADHD) were not associated with any phenotypes, PGSs for MDD, neuroticism, and anxiety disorders were associated with both internalizing and externalizing phenotypes. Moreover, the latent internalizing PGS and the latent one-factor PGS, derived using weights from Genomic SEM, explained 1% more variance in the general factor of psychopathology than any of the individual PGSs. Results support the following conclusions: genetic risk factors for and phenotypic markers of psychiatric disorders are transdiagnostic in European ancestries, GWAS-derived PGSs fail to capture genetic variation associated with disease specificity in European ancestries, and blunt phenotypic measurement in GWAS may preclude our ability to evaluate the structure and specificity of genetic contributions to psychiatric disorders.


2009 ◽  
Vol 29 (S 01) ◽  
pp. S16-S18 ◽  
Author(s):  
B. Brand ◽  
N. von der Weid

SummaryThe Swiss Haemophilia Registry of the Medical Committee of the Swiss Haemophilia Society was established in 2000. Primarily it bears epidemiological and basic clinical data (incidence, type and severity of the disease, age groups, centres, mortality). Two thirds of the questions of the WFH Global Survey can be answered, especially those concerning use of concentrates (global, per capita) and treatment modalities (on-demand versus prophylactic regimens). Moreover, the registry is an important tool for quality control of the haemophilia treatment centres.There are no informations about infectious diseases like hepatitis or HIV, due to non-anonymisation of the data. We plan to incorporate the results of the mutation analysis in the future.


2015 ◽  
Vol 2 (2) ◽  
pp. 32-38 ◽  
Author(s):  
N. Matvienko ◽  
A. Vashchenko ◽  
I. Tsiganok ◽  
L. Buchatsky

Aim. To investigate the epizootic state of fi sheries in Ukraine; to study the biological specifi cities of viral and bacterial isolates of fi sh in freshwater aquaculture. Methods. The epizootic state of fi sheries was defi ned ac- cording to the surveillance plan for fi sheries, virological (biosampling of sensitive fi sh species, virus isolation on sensitive passaged cell cultures), serological (enzyme immunoassay, virus neutralization test using sensitive passaged cell cultures) and molecular-biological (reverse transcriptase polymerase chain reaction − RTPCR) methods of investigation were used. The pathogenicity of the isolated bacteria was studied in the biosample. The identifi cation was performed using Bergey’s Manual. The express-identifi cation of bacteria was performed using the standardized test-system API 20E Bio Merieux (France). Results. The IPNV isolates of rainbow trout were fi rst isolated in the fi sheries of different forms of ownership in the western regions of Ukraine (Volyn, L’viv, Transcarpathian, Chernivtsi regions). It was demonstrated that different age groups of carp are infested with the virus in the fi sheries of L’viv, Donetsk, Chernihiv, Kyiv, and Odesa regions which testifi es to a wide spread of the virus in Ukraine. Out of fi sh infectious diseases the red spot-like disease and the swim bladder infl ammation of carp, the diseases of young trout and sturgeon were detected in the investigated fi sheries of Ukraine. Conclusions. The epizootic data were used to estimate the condition of the fi sheries in Ukraine in terms of fi sh infectious diseases. An infectious pancreatic necrosis virus, new for Ukraine, was revealed. It was found to affect rainbow trout (Oncorhynchus mykiss , Walbaum, 1792) and the spread of SVCV in carp fi sheries was demonstrated. As for bacterial fi sh diseases, the decrease in the epizootic situation was described along with considerable extension of the range of species of bacterial pathogens of fi sh. Annual systematic monitoring and measures of preventing the introduction of the agents of infectious diseases are the guarantee of protection of the specialized fi sheries of Ukraine.


2020 ◽  
Author(s):  
Bankole Olatosi ◽  
Jiajia Zhang ◽  
Sharon Weissman ◽  
Zhenlong Li ◽  
Jianjun Hu ◽  
...  

BACKGROUND The Coronavirus Disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus (SARS-CoV-2) remains a serious global pandemic. Currently, all age groups are at risk for infection but the elderly and persons with underlying health conditions are at higher risk of severe complications. In the United States (US), the pandemic curve is rapidly changing with over 6,786,352 cases and 199,024 deaths reported. South Carolina (SC) as of 9/21/2020 reported 138,624 cases and 3,212 deaths across the state. OBJECTIVE The growing availability of COVID-19 data provides a basis for deploying Big Data science to leverage multitudinal and multimodal data sources for incremental learning. Doing this requires the acquisition and collation of multiple data sources at the individual and county level. METHODS The population for the comprehensive database comes from statewide COVID-19 testing surveillance data (March 2020- till present) for all SC COVID-19 patients (N≈140,000). This project will 1) connect multiple partner data sources for prediction and intelligence gathering, 2) build a REDCap database that links de-identified multitudinal and multimodal data sources useful for machine learning and deep learning algorithms to enable further studies. Additional data will include hospital based COVID-19 patient registries, Health Sciences South Carolina (HSSC) data, data from the office of Revenue and Fiscal Affairs (RFA), and Area Health Resource Files (AHRF). RESULTS The project was funded as of June 2020 by the National Institutes for Health. CONCLUSIONS The development of such a linked and integrated database will allow for the identification of important predictors of short- and long-term clinical outcomes for SC COVID-19 patients using data science.


Author(s):  
Mary L. Sellers

Folklore occurs at every stage of a person’s life, and this chapter covers the way folklore and folklife across, and of, the life course has been studied. Six divisions in the life course that mark traditions of age groups as well as perceived stages in the United States are pregnancy and birth, infancy and early childhood, childhood and adolescence, adulthood, seniority, and death. Although much of the scholarship of age groups has been on the beginning and end of life, I demonstrate the conditions of aging in adolescence through the senior years that generate folklore and should be studied in relation to formation of age-group identity. This chapter emphasizes the use of folklore as an adaptation to aging. It examines the connection of folk traditions to the role that anxiety plays in the aging process, the formation of self and group identity, and the rites of passage that mark transitions from one stage to another. It shows that the presence of invented and emerging traditions indicates changing values and beliefs across the life course and encourages research in age-based research as a basic component of folklore and folklife studies.


2021 ◽  
Author(s):  
Sonia Bhala ◽  
Douglas R Stewart ◽  
Victoria Kennerley ◽  
Valentina I Petkov ◽  
Philip S Rosenberg ◽  
...  

Abstract Background Benign meningiomas are the most frequently reported central nervous system tumors in the United States (US), with increasing incidence in past decades. However, the future trajectory of this neoplasm remains unclear. Methods We analyzed benign meningioma incidence of cases identified by any means (eg, radiographically with or without microscopic confirmation) in US Surveillance Epidemiology and End Results (SEER) cancer registries among 35–84-year-olds during 2004–2017 by sex and race/ethnicity using age-period-cohort (APC) models. We employed APC forecasting models to glean insights regarding the etiology, distribution, and anticipated future (2018–2027) public health impact of this neoplasm. Results In all groups, meningioma incidence overall increased through 2010, then stabilized. Temporal declines were statistically significant overall and in most groups. JoinPoint analysis of cohort rate-ratios identified substantial acceleration in White men born after 1963 (from 1.1% to 3.2% per birth year); cohort rate-ratios were stable or increasing in all groups and all birth cohorts. We forecast that meningioma incidence through 2027 will remain stable or decrease among 55–84-year-olds but remain similar to current levels among 35–54-year-olds. Total meningioma burden in 2027 is expected to be approximately 30,470 cases, similar to the expected case count of 27,830 in 2018. Conclusions Between 2004–2017, overall incidence of benign meningioma increased and then stabilized or declined. For 2018–2027, our forecast is incidence will remain generally stable in younger age groups but decrease in older age groups. Nonetheless, the total future burden will remain similar to current levels because the population is aging.


2020 ◽  
Vol 41 (S1) ◽  
pp. s431-s432
Author(s):  
Rachael Snyders ◽  
Hilary Babcock ◽  
Christopher Blank

Background: Immunization resistance is fueling a resurgence of vaccine-preventable diseases in the United States, where several large measles outbreaks and 1,282 measles cases were reported in 2019. Concern about these measles outbreaks prompted a large healthcare organization to develop a preparedness plan to limit healthcare-associated transmission. Verification of employee rubeola immunity and immunization when necessary was prioritized because of transmission risk to nonimmune employees and role of the healthcare personnel in responding to measles cases. Methods: The organization employs ∼31,000 people in diverse settings. A multidisciplinary team was formed by infection prevention, infectious diseases, occupational health, and nursing departments to develop the preparedness plan. Immunity was monitored using a centralized database. Employees without evidence of immunity were asked to provide proof of vaccination, defined by the CDC as 2 appropriately timed doses of rubeola-containing vaccine, or laboratory confirmation of immunity. Employees were given 30 days to provide documentation or to obtain a titer at the organization’s expense. Staff with negative titers were given 2 weeks to coordinate with the occupational heath department for vaccination. Requests for medical or religious accommodations were evaluated by occupational heath staff, the occupational heath medical director, and the human resources department. All employees were included, though patient-interfacing employees in departments considered higher risk were prioritized. These areas were the emergency, dermatology, infectious diseases, labor and delivery, obstetrics, and pediatrics departments. Results: At the onset of the initiative in June 2019, 4,009 employees lacked evidence of immunity. As of November 2019, evidence of immunity had been obtained for 3,709 employees (92.5%): serological evidence of immunity was obtained for 2,856 (71.2%), vaccine was administered to 584 (14.6%), and evidence of previous vaccination was provided by 269 (6.7%). Evidence of immunity has not been documented for 300 (7.5%). The organization administered 3,626 serological tests and provided 997 vaccines, costing ∼$132,000. Disposition by serological testing is summarized in Table 1. Conclusions: A measles preparedness strategy should include proactive assessment of employees’ immune status. It is possible to expediently assess a large number of employees using a multidisciplinary team with access to a centralized database. Consideration may be given to prioritization of high-risk departments and patient-interfacing roles to manage workload.Funding: NoneDisclosures: None


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