scholarly journals Research perspectives in the etiology of congenital anorectal malformations using data of the International Consortium on Anorectal Malformations: evidence for risk factors across different populations

2010 ◽  
Vol 26 (11) ◽  
pp. 1093-1099 ◽  
Author(s):  
Charlotte H. W. Wijers ◽  
Ivo de Blaauw ◽  
Carlo L. M. Marcelis ◽  
Rene M. H. Wijnen ◽  
Han Brunner ◽  
...  
Keyword(s):  
Risk Factors ◽  
Anorectal Malformations ◽  
International Consortium ◽  
Research Perspectives ◽  
Different Populations ◽  
Using Data

Cancer in agricultural populations

2020 ◽  
pp. 837-837
Author(s):  
K. . Togawa
Keyword(s):  
Risk Factors ◽  
General Population ◽  
Cohort Studies ◽  
Health Effects ◽  
Cancer Incidence ◽  
Lower Prevalence ◽  
International Consortium ◽  
Adverse Health Effects ◽  
Specific Cancer ◽  
Cancer Types

Agricultural workers can be exposed to a wide variety of agents (e.g. pesticides), some of which may have adverse health effects, such as cancer. To study the health effects of agricultural exposures, an international consortium of agricultural cohort studies, AGRICOH, was established. The present analysis compared cancer incidence between the AGRICOH cohorts and the general population and found lower overall cancer incidence in the AGRICOH cohorts, with some variation across cohorts for specific cancer types. The observed lower cancer incidence may be due to healthy worker bias or lower prevalence of risk factors in the agricultural populations. Further analysis is underway.

scholarly journals Risk factors for severity on admission and the disease progression during hospitalisation in a large cohort of patients with COVID-19 in Japan

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e047007
Author(s):  
Mari Terada ◽  
Hiroshi Ohtsu ◽  
Sho Saito ◽  
Kayoko Hayakawa ◽  
Shinya Tsuzuki ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mechanical Ventilation ◽  
Chronic Respiratory Disease ◽  
Major Effect ◽  
Secondary Outcome ◽  
Healthcare Facilities ◽  
Wide Range ◽  
Registration Number ◽  
Using Data ◽  
Obesity Hypertension

ObjectivesTo investigate the risk factors contributing to severity on admission. Additionally, risk factors of worst severity and fatality were studied. Moreover, factors were compared based on three points: early severity, worst severity and fatality.DesignAn observational cohort study using data entered in a Japan nationwide COVID-19 inpatient registry, COVIREGI-JP.SettingAs of 28 September 2020, 10480 cases from 802 facilities have been registered. Participating facilities cover a wide range of hospitals where patients with COVID-19 are admitted in Japan.ParticipantsParticipants who had a positive test result on any applicable SARS-CoV-2 diagnostic tests were admitted to participating healthcare facilities. A total of 3829 cases were identified from 16 January to 31 May 2020, of which 3376 cases were included in this study.Primary and secondary outcome measuresPrimary outcome was severe or nonsevere on admission, determined by the requirement of mechanical ventilation or oxygen therapy, SpO2 or respiratory rate. Secondary outcome was the worst severity during hospitalisation, judged by the requirement of oxygen and/orinvasive mechanical ventilation/extracorporeal membrane oxygenation.ResultsRisk factors for severity on admission were older age, men, cardiovascular disease, chronic respiratory disease, diabetes, obesity and hypertension. Cerebrovascular disease, liver disease, renal disease or dialysis, solid tumour and hyperlipidaemia did not influence severity on admission; however, it influenced worst severity. Fatality rates for obesity, hypertension and hyperlipidaemia were relatively lower.ConclusionsThis study segregated the comorbidities influencing severity and death. It is possible that risk factors for severity on admission, worst severity and fatality are not consistent and may be propelled by different factors. Specifically, while hypertension, hyperlipidaemia and obesity had major effect on worst severity, their impact was mild on fatality in the Japanese population. Some studies contradict our results; therefore, detailed analyses, considering in-hospital treatments, are needed for validation.Trial registration numberUMIN000039873. https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000045453

scholarly journals Analysis Factors That Affecting the Incidence of Hypertension in Menopausal Woman

2020 ◽  
Vol 6 (1) ◽  
pp. 21-25
Author(s):  
Estin Gita Maringga ◽  
Nunik Ike Yunia Sari
Keyword(s):  
Risk Factors ◽  
Statistical Data ◽  
Free Variable ◽  
Hormonal Contraceptives ◽  
Menopausal Woman ◽  
Cross Sectional ◽  
Menopausal Women ◽  
History Of ◽  
Using Data ◽  
The Village

Hypertension is an increased incidence of blood pressure characterized by the increase of sistole and diastole. Hypertension if not properly administered, can cause a variety of complications such as stroke, heart failure, renal failure, encephalopathy, and others. Based on the statistical data of menopause women risk to experience hypertension of 41% compared with males. This research aims to analyze the risk factors that affect the incidence of hypertension in menopausal women in the village Kayen Kidul. The design of research in this study uses cross sectional, with the population is all menopause women who have hypertension in the village of South Kayen, using simple random samplling technique, obtained as many as 71 respondents . The variables in this study consist of a free variable that is age and a history of the use of KB and variables bound in the form of hypertension in menopausal women. The study was conducted on 16-21 September 2019, collecting data using interview and observation techniques using data collection sheets. Data analysts use linear regression, with calculations using SPSS. The results in this study were obtained from 71 respondents, 59.2% of the mother aged < 60 years, 69% had a history of hormonal contraceptives, 57.6% menopause had hypertension. The aged menopause ≥ 60 years and has a history of hormonal contraceptives have a greater risk of hypertensive incidence in menopause.

scholarly journals STATISTICAL STUDIES ON PROTEIN POLYMORPHISM IN NATURAL POPULATIONS II. GENE DIFFERENTIATION BETWEEN POPULATIONS

Genetics ◽  
1978 ◽  
Vol 88 (2) ◽  
pp. 367-390
Author(s):  
Ranajit Chakraborty ◽  
Paul A Fuerst ◽  
Masatoshi Nei
Keyword(s):  
Genetic Differentiation ◽  
Natural Populations ◽  
Drift Theory ◽  
Alternative Hypotheses ◽  
Mean And Variance ◽  
Statistical Studies ◽  
Different Populations ◽  
Using Data ◽  
Almost All ◽  
Good Agreement

ABSTRACT With the aim of testing the validity of the mutation-drift hypothesis, we examined the pattern of genetic differentiation between populations by using data from Drosophila, fishes, reptiles, and mammals. The observed relationship between genetic identity and correlation of heterozygosities of different populations or species was generally in good agreement with the theoretical expectations from the mutation-drift theory, when the variation in mutation rate among loci was taken into account. In some species of Drosophila, however, the correlation was unduly high. The relationship between the mean and variance of genetic distance was also in good agreement with the theoretical prediction in almost all organisms. We noted that both the distribution of heterozygosity within species and the pattern of genetic differentiation between species can be explained by the same set of genetic parameters in each group of organisms. Alternative hypotheses for explaining these observations are discussed.

scholarly journals Comparing the Clinical Characteristics and Mortality of Residential and Non-Residential Older People with COVID-19: Retrospective Observational Study

2022 ◽  
Vol 19 (1) ◽  
pp. 483
Author(s):  
Francesc X. Marin-Gomez ◽  
Jacobo Mendioroz-Peña ◽  
Miguel-Angel Mayer ◽  
Leonardo Méndez-Boo ◽  
Núria Mora ◽  
...  
Keyword(s):  
Risk Factors ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Clinical Characteristics ◽  
Fold Increase ◽  
The Elderly ◽  
Health Administration ◽  
Epidemic Outbreak ◽  
Risk Of Death ◽  
Using Data

Nursing homes have accounted for a significant part of SARS-CoV-2 mortality, causing great social alarm. Using data collected from electronic medical records of 1,319,839 institutionalised and non-institutionalised persons ≥ 65 years, the present study investigated the epidemiology and differential characteristics between these two population groups. Our results showed that the form of presentation of the epidemic outbreak, as well as some risk factors, are different among the elderly institutionalised population with respect to those who are not. In addition to a twenty-fold increase in the rate of adjusted mortality among institutionalised individuals, the peak incidence was delayed by approximately three weeks. Having dementia was shown to be a risk factor for death, and, unlike the non-institutionalised group, neither obesity nor age were shown to be significantly associated with the risk of death among the institutionalised. These differential characteristics should be able to guide the actions to be taken by the health administration in the event of a similar infectious situation among institutionalised elderly people.

Merits and caveats of propensity scores to adjust for confounding

2018 ◽  
Vol 34 (10) ◽  
pp. 1629-1635 ◽  
Author(s):  
Edouard L Fu ◽  
Rolf H H Groenwold ◽  
Carmine Zoccali ◽  
Kitty J Jager ◽  
Merel van Diepen ◽  
...  
Keyword(s):  
Risk Factors ◽  
The Netherlands ◽  
Health Outcomes ◽  
Observational Data ◽  
Propensity Scores ◽  
Cooperative Study ◽  
Dialysis Patients ◽  
Proper Understanding ◽  
The Past ◽  
Using Data

Abstract Proper adjustment for confounding is essential when estimating the effects of treatments or risk factors on health outcomes in observational data. To this end, various statistical methods have been developed. In the past couple of years, the use of propensity scores (PSs) to control for confounding has increased. Proper understanding of this method is necessary to critically appraise research in which it is applied. In this article, we provide an overview of PS methods, explaining their concept, advantages and possible disadvantages. Furthermore, the use of PS matching, PS adjustment and PS weighting is illustrated using data from the Netherlands Cooperative Study on the Adequacy of Dialysis (NECOSAD) cohort of dialysis patients.

Risk Evaluation in the Insurance Company Using REFII Model

2015 ◽  
pp. 748-768
Author(s):  
Goran Klepac
Keyword(s):  
Risk Factors ◽  
Data Mining ◽  
Time Series ◽  
Risk Evaluation ◽  
Time Series Data ◽  
Business Case ◽  
Risk Level ◽  
Insurance Company ◽  
Market Situation ◽  
Using Data

A business case describes a problem present in all insurance companies: portfolio risk evaluation. Such analysis deals with determining the risk level as well as main risk factors. In the specific case, an insurance company is faced with market share growth and profit decline. Discovered knowledge about the level of risk and main risk factors was not used to increase premium for the riskiest portfolio segments due to a specific market situation, which could lead to loss of clients in the long run. Instead, additional analysis was conducted using data mining methods resulting in a solution, which stopped further profit decline and lowered the risk level for the riskiest portfolio segments. The central role for the unexpected revealed knowledge in the chapter acts as the REFII model. The REFII model is an authorial mathematical model for time series data mining. The main purpose of that model is to automate time series analysis, through a unique transformation model of time series.

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