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95 results for “population-based study”
Data from: Drowning mortality by intent: a population-based cross-sectional study of 32 OECD countries, 2012–2014
Objective: To compare the drowning mortality rates and proportion of deaths of each intent among all drowning deaths in Organisation for Economic Co-operation and Development (OECD) countries in 2012–2014. Design: A population-based cross-sectional study. Setting: 32 OECD countries. Participants: Individuals in OECD countries who died from drowning. Main outcome measures: Drowning mortality rates (deaths per 100,000 population) and proportion (%) of deaths of each intent (i.e., unintentional intent, intentional self-harm, assault, undetermined intent, and all intents combined) among all drowning deaths. Results: Countries with the highest drowning mortality rates (deaths per 100,000 population) were Estonia (3.53), Japan (3.49), and Greece (2.40) for unintentional intent; Ireland (0.96), Belgium (0.96), and Korea (0.89) for intentional self-harm; Austria (0.57), Korea (0.56), and Hungary (0.44) for undetermined intent; and Japan (4.35), Estonia (3.70), and Korea (2.73) for all intents combined. Korea ranked 12th and third for unintentional intent and all intents combined, respectively. By contrast, Belgium ranked second and 15th for intentional self-harm and all intents combined, respectively. The proportion of deaths of each intent among all drowning deaths in each country varied greatly: from 26.2% in Belgium to 96.8% in Chile for unintentional intent; 0.7% in Mexico to 57.4% in Belgium for intentional self-harm; 0.0% in nine countries to 4.9% in Mexico for assault; and 0.0% in Israel and Turkey to 38.3% in Austria for undetermined intent. Conclusions: A large variation in the practice of classifying undetermined intent in drowning deaths across countries was noted and this variation hinders valid international comparisons of intent-specific (unintentional and intentional self-harm) drowning mortality rates.
Data from: Prevalence of disability associated with head injury with loss of consciousness: a population-based study
<div class="WordSection1"> <div class="WordSection1"> <p><span><span><span><span><span><span><span><span><span><span><span><span><b>Objective</b>: To provide nationally representative prevalence estimates of disability associated with prior head injury with loss of consciousness in the U.S. and to examine associations between prior head injury and disability.</span></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><span><b>Methods</b>: Cross-sectional analysis of 7,390 participants aged ³40 years in the 2011-2014 National Health and Nutrition Examination Surveys (NHANES). Head injury with loss of consciousness was assessed by self-report. Domains of disability were assessed using a standardized structured questionnaire and measured grip strength. Logistic regression models adjusted for demographic, socioeconomic/behavioral, and medical comorbidity variables were used. Multiple imputation was used to account for missing covariate data.</span></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><span><b>Results</b>: Mean age of participants was 58 years, 53% were female, 71% were non-Hispanic white, and 16% had a history of head injury. Overall, participants with a history of head injury had higher prevalence of disability in at least one domain of functioning compared to individuals without a history of head injury (47.4% versus 38.6%, p<0.001), with the highest prevalence of disability in the domains of mobility and work productivity. In fully adjusted models, head injury was significantly positively associated with disability in all domains assessed on the standardized questionnaire (all p<0.05), but not with upper extremity grip strength (all p>0.05).</span></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><span><b>Conclusions</b>: 47.4% of individuals aged ≥40 years in the U.S with a history of head injury are living with disability in at least one domain of functioning, corresponding to approximately 11.4 million affected individuals. This significant burden of disability suggests that efforts are needed to improve functioning among individuals with head injury. </span></span></span></span></span></span></span></span></span></span></span></span></p> </div> </div>
Data from: Perinatal depression and anxiety in women with MS: a population-based cohort study
<p><b>Objective: </b>To assess the occurrence of perinatal depression and anxiety in women before and after diagnosis of multiple sclerosis (MS).</p> <p><b>Methods: </b>114,629 pregnant women were included in the Norwegian Mother, Father and Child Cohort study 1999–2008. We assessed depression and anxiety by questionnaires during and after pregnancy. Women with MS were identified from national health registries and hospital records and grouped into 1) MS diagnosed before pregnancy (n = 140), MS diagnosed after pregnancy with 2) symptom onset before pregnancy (n = 98) and 3) symptom onset after pregnancy (n = 308). Thirty-five women were diagnosed with MS in the postpartum period. The reference group (n = 111,627) consisted of women without MS.</p> <p><b>Results: </b>Women with MS diagnosed before pregnancy had an adjusted odds ratio of 2.0 (95% confidence interval 1.2–3.1) for depression in the third trimester. Risk factors were adverse socioeconomic factors, history of psychiatric disease and physical/sexual abuse. The risk of anxiety was not increased. Women diagnosed with MS in the postpartum period had especially high risk of postpartum depression. Women with MS symptom onset within 5 years after pregnancy had increased risk of both depression and anxiety during pregnancy, whereas women with more than 5 years until symptom onset did not.</p> <p><b>Conclusion: </b>Women diagnosed with MS have increased risk of perinatal depression. Women with MS symptom onset within 5 years after pregnancy have increased risk of both depression and anxiety during pregnancy.</p>
Supplementary material - Delineating the psychiatric morbidity spectrum in congenital adrenal hyperplasia: a population-based registry study
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Data from: Epidemiology of NMOSD in Sweden from 1987-2013: a nationwide population-based study
Objective: The objective was to report the yearly incidence rate and prevalence of neuromyelitis spectrum disorder (NMOSD) in Sweden and to investigate clinical characteristics, treatment and outcome. Methods: We conducted a retrospective study of hospital case records of 294 individuals diagnosed with NMO (G36.0 ICD-10, 341.0 ICD-9) in the Swedish National Patient Register from 1987 to end of 2013 or detected by the presence of Aquaporin 4 IgG (AQP4) in serum during the study period. Ninety-two patients (51 NMO and 41 NMO spectrum-disorder) met the 2006 Wingerchuk criteria and were included in the study. Eleven Ten patients with an onset of NMO prior to 1987 and alive at the end of 2013 were included when estimating the prevalence. Results: The average yearly incidence rate per 1,000,000 individuals increased significantly from 0.30 (CI: 0.19-0.41) between 1987-2006 to 0.79 (CI:0.55-1.03) between 2007-2013. The prevalence was 10.4 (CI:8.5-12.6) per 1,000,000 individuals as end of 2013. The median time from onset to first relapse was 1.42 years (range:0.58-3.90). The probability of relapse was 60% and 75% after five and 10 years after onset. More than 80% were treated with immunosuppressive drugs. Three patients succumbed during the study period. Conclusion: The increased incidence rate during the study period was likely due to heightened awareness and increased access to MRI and AQP4-IgG analysis. Incidence and prevalence of NMO in Sweden correspond to other countries with a predominately Caucasian population. We found that most patients were treated with immunosuppressant drugs, presumably resulting in a low mortality among the detected cases.
Long Term Excess Mortality of Acute Myocardial Infarction in Patients With and Without Diabetes: A Population-based Cohort Study
ClinicalTrials.gov study NCT02591576. IPD Sharing: Not stated. Countries: 0. Publications: 1.
A Population-based Study of Celiac Disease in South Europe in Children Between 1 to 5 Years of Age
ClinicalTrials.gov study NCT05968404. IPD Sharing: Not stated. Countries: 0. Publications: 4.
Examining the Risk of Skin Cancer in Multiple Sclerosis Patients Using Fingolimod: a Population-Based Study
ClinicalTrials.gov study NCT06705608. IPD Sharing: NO. Countries: 0. Publications: 1.
Data from: Risk factors for possible REM sleep behavior disorder: a CLSA population-based cohort study
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Data from: Perinatal depression and anxiety in women with MS: a population-based cohort study
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Data from: Drowning mortality by intent: a population-based cross-sectional study of 32 OECD countries, 2012–2014
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Data from: Association between serum γ-glutamyltranspeptidase and atherosclerosis: a population-based cross-sectional study
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Data from: Catastrophic health expenditure according to employment status in South Korea: A population-based panel study
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Data from: Effect of ultrasonography surveillance in patients with liver cancer: a population-based longitudinal study
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Data from: Incidence rate of community-acquired pneumonia in adults: a population-based prospective active surveillance study in three cities in South America
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Data from: Prevalence of disability associated with head injury with loss of consciousness: a population-based study
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Data from: Epidemiology of NMOSD in Sweden from 1987-2013: a nationwide population-based study
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Use of DNA methylation profiling as a molecular classification tool: a pediatric population-based study in tumors from central nervous system
GEO Series GSE296487. Homo sapiens. 182 samples. Type: Methylation profiling by genome tiling array.
Plasma microRNA ratios associated with breast cancer detection: results from a nested case-control study in an Italian population-based mammography screening cohort
GEO Series GSE210329. Homo sapiens. 131 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Data from: Ectopic fat obesity presents the greatest risk for incident type 2 diabetes: a population-based longitudinal study
Objectives: Obesity is a risk factor for type 2 diabetes mellitus. Among obesity, visceral fat obesity, and ectopic fat obesity, it has been unclear which has the greatest effect on incident diabetes. Methods: In this historical cohort study of 8430 men and 7034 women, we investigated the effect of obesity phenotypes on incident diabetes. Obesity, visceral fat obesity, and ectopic fat obesity were defined as body mass index ≥25 kg/m2, waist circumference ≥90 cm in men or ≥80 cm in women, and having fatty liver diagnosed by abdominal ultrasonography, respectively. We divided the participants into eight groups according to the presence or absence of the three obesity phenotypes. Results: During the median 5.8 years follow-up for men and 5.1 years follow-up for women, 286 men and 87 women developed diabetes. Compared to the non-obese group, the hazard ratios (HRs) of incident diabetes in the only-obesity, only-visceral fat obesity, only-ectopic fat obesity groups, and with all-three types of obesity group were 1.85 (95%CI 1.06–3.26, p = 0.05) in men and 1.79 (0.24–13.21, p = 0.60) in women, 3.41 (2.51–4.64, p < 0.001) in men and 2.30 (0.87–6.05, p = 0.12) in women, 4.74 (1.91–11.70, p < 0.001) in men and 13.99 (7.23–27.09, p < 0.001) in women and 10.5 (8.02–13.8, p < 0.001) in men and 30.0 (18.0–50.0, p < 0.001) in women. Moreover, the risk of incident diabetes of the groups with ectopic fat obesity were almost higher than that of the four groups without ectopic fat obesity. Conclusion: Ectopic fat obesity presented the greatest risk of incident type 2 diabetes.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.