scholarly journals Risk attribution of Campylobacter infection by age group using exposure modelling

2010 ◽  
Vol 138 (12) ◽  
pp. 1748-1761 ◽  
Author(s):  
S. BUETTNER ◽  
B. WIELAND ◽  
K. D. C. STAERK ◽  
G. REGULA
Keyword(s):  
Risk Factors ◽  
Age Groups ◽  
Poultry Meat ◽  
Exposure Model ◽  
Relative Importance ◽  
Prevention Measures ◽  
Mean Values ◽  
Exposure Pathways ◽  
Risk Attribution ◽  
Using Data

SUMMARYKnowledge on the relative importance of alternative sources of human campylobacteriosis is important in order to implement effective disease prevention measures. The objective of this study was to assess the relative importance of three key exposure pathways (travelling abroad, poultry meat, pet contact) for different patient age groups in Switzerland. With a stochastic exposure model data on Campylobacter incidence for the years 2002–2007 were linked with data for the three exposure pathways and the results of a case-control study. Mean values for the population attributable fractions (PAF) over all age groups and years were 27% (95% CI 17–39) for poultry consumption, 27% (95% CI 22–32) for travelling abroad, 8% (95% CI 6–9) for pet contact and 39% (95% CI 25–50) for other risk factors. This model provided robust results when using data available for Switzerland, but the uncertainties remained high. The output of the model could be improved if more accurate input data are available to estimate the infection rate per exposure. In particular, the relatively high proportion of cases attributed to ‘other risk factors’ requires further attention.

Family-, Media-, and School-Related Risk Factors of Video Game Addiction

2013 ◽  
Vol 25 (3) ◽  
pp. 118-128 ◽  
Author(s):  
Florian Rehbein ◽  
Dirk Baier
Keyword(s):  
Risk Factors ◽  
Video Game ◽  
Age Groups ◽  
Well Being ◽  
Epidemiological Studies ◽  
Prevention Measures ◽  
School Life ◽  
Video Game Addiction ◽  
Effective Prevention ◽  
Game Addiction

In recent years, a variety of epidemiological studies have provided empirical data on the prevalence of video game addiction (GA) in different age groups. However, few studies investigated the causes of GA and could explain why video game playing as a widespread phenomenon leads to a comparatively small percentage of addicted players. Additionally, the existing longitudinal studies mainly consider psychological trait variables and neglect the possible explanatory value of predictors in socialization regarding media availability, media use, and family and everyday school life. In this paper, the results of a two-wave longitudinal study comprising a sample of students from Grades 4 to 9 (N = 406) are presented. The data show that 15-year-old video game addicts had already exhibited a number of specific risk factors at the age of 10. Students from single-parent families seem to be particularly at risk, as are students with low experienced school well-being and with a weaker social integration in class. The data also indicate that problematic use of video games in childhood increases the risk of GA in adolescence. Male students are especially vulnerable for developing GA. The results of this study are an important contribution to understanding risk factors for GA in adolescents, thereby laying the groundwork for effective prevention measures.

Risk factors for sporadic Shiga toxin-producingEscherichia coliO157 and non-O157 illness in The Netherlands, 2008–2012, using periodically surveyed controls

2014 ◽  
Vol 143 (7) ◽  
pp. 1360-1367 ◽  
Author(s):  
I. H. M. FRIESEMA ◽  
M. SCHOTSBORG ◽  
M. E. O. C. HECK ◽  
W. VAN PELT
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
The Netherlands ◽  
Shiga Toxin ◽  
Age Groups ◽  
Meat Products ◽  
Farm Animals ◽  
Severe Illness ◽  
Main Risk Factor ◽  
Using Data

SUMMARYShiga toxin-producingEscherichia coli(STEC) infections have been associated with severe illness. Ruminants are seen as the main reservoir and the major transmission route is considered to be foodborne. In The Netherlands, a case-control study was conducted, using data collected during 2008–2012. Patients were interviewed and controls completed a self-administered questionnaire. Patients travelling abroad were excluded from the analyses. STEC O157 and non-O157 were examined separately and differentiated into two age groups (<10 years, ⩾10 years). We included 130 O157 cases, 78 non-O157 cases and 1563 controls. In both age groups of O157 patients, raw spreadable sausage was the main risk factor for infection. For STEC non-O157 cases aged <10 years, contact with farm animals was the main risk factor and in non-O157 cases aged ⩾10 years, consumption of beef was the main risk factor. During 2008–2012, risk factors for STEC infections in the Dutch population differed between age groups and serogroup categories, and were related to eating meat and contact with farm animals. Advising the public about the risks of consuming raw or undercooked meat (products) and hygiene habits in case of contact with farm animals, could help in the prevention of STEC infections.

Size-At-Age Variability and Sexual Dimorphism of Morphometric Characteristics in the Late Ontogenesis of the Marsh Frog, Pelophylax Ridibundus (Anura, Ranidae), from Terrytory of Crimea

2019 ◽  
Vol 53 (4) ◽  
pp. 325-334
Author(s):  
V. N. Peskov ◽  
N. A. Petrenko ◽  
V. Yu. Reminnyi
Keyword(s):  
Age Groups ◽  
The Body ◽  
Adult Males ◽  
Morphometric Characteristics ◽  
Morphometric Characters ◽  
Mean Values ◽  
Marsh Frog ◽  
Males And Females ◽  
Size At Age ◽  
Linear Body

Abstract We study size-at-age and sexual variability of morphometric characteristics of the marsh frog. According to the size of the body, males were divided into three size-age groups (juvenis, subadultus, adultus), females — into four groups (juvenis, subadultus, adultus, adultus-I). We found that the chronological age of frogs (skeletochronology) does not always correspond to their biological age (size and proportions of the body). We noted that the semi-adult males are reliably larger than females by mean values of 26 studied morphometric characters. Males and females of “adultus” group do not differ by linear body size, significant differences were found in body proportions (7 characters). For the females of “adultus-I” group, the mean values of 26 characters are significantly larger than for “adultus” males. The results of our study showed that with the age of the marsh frog, the level of exhibition, directionality and structure of morphometric sex differences changes.

Graft detachments in endothelial keratoplasty

2021 ◽  
pp. bjophthalmol-2020-318092
Author(s):  
Rashmi Deshmukh ◽  
Sridevi Nair ◽  
Darren Shu Jeng Ting ◽  
Tushar Agarwal ◽  
Jacqueline Beltz ◽  
...  
Keyword(s):  
Risk Factors ◽  
Preventive Measures ◽  
Endothelial Keratoplasty ◽  
Common Complication ◽  
Prevention Measures ◽  
Descemet Stripping Endothelial Keratoplasty ◽  
Secondary Interventions ◽  
Different Types ◽  
Incidence Risk ◽  
Donor Graft

Graft detachment is the most common complication of endothelial keratoplasty. With the ongoing advancements in the field of endothelial keratoplasty, our understanding of risk factors of graft detachments and its management has been evolving. Various prevention measures have been described in literature including presoaking the donor graft, anterior chamber tamponade, venting incisions, sutures to prevent dislocation of graft. Management of a detached graft involves secondary interventions such as rebubbling, suturing and regrafts. In this review, we discuss graft detachment in different types of endothelial keratoplasty techniques including Descemet stripping endothelial keratoplasty, Descemet stripping automated endothelial keratoplasty and Descemet’s membrane endothelial keratoplasty; with emphasis on incidence, risk factors, preventive measures and their management.

scholarly journals Predicting COVID-19 mortality with electronic medical records

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Hossein Estiri ◽  
Zachary H. Strasser ◽  
Jeffy G. Klann ◽  
Pourandokht Naseri ◽  
Kavishwar B. Wagholikar ◽  
...  
Keyword(s):  
Risk Factors ◽  
Medical Information ◽  
Age Groups ◽  
Prognostic Models ◽  
Smoking History ◽  
Risk Scores ◽  
Gradient Boosting ◽  
Chronic Obstructive ◽  
Clinical Expertise ◽  
History Of

AbstractThis study aims to predict death after COVID-19 using only the past medical information routinely collected in electronic health records (EHRs) and to understand the differences in risk factors across age groups. Combining computational methods and clinical expertise, we curated clusters that represent 46 clinical conditions as potential risk factors for death after a COVID-19 infection. We trained age-stratified generalized linear models (GLMs) with component-wise gradient boosting to predict the probability of death based on what we know from the patients before they contracted the virus. Despite only relying on previously documented demographics and comorbidities, our models demonstrated similar performance to other prognostic models that require an assortment of symptoms, laboratory values, and images at the time of diagnosis or during the course of the illness. In general, we found age as the most important predictor of mortality in COVID-19 patients. A history of pneumonia, which is rarely asked in typical epidemiology studies, was one of the most important risk factors for predicting COVID-19 mortality. A history of diabetes with complications and cancer (breast and prostate) were notable risk factors for patients between the ages of 45 and 65 years. In patients aged 65–85 years, diseases that affect the pulmonary system, including interstitial lung disease, chronic obstructive pulmonary disease, lung cancer, and a smoking history, were important for predicting mortality. The ability to compute precise individual-level risk scores exclusively based on the EHR is crucial for effectively allocating and distributing resources, such as prioritizing vaccination among the general population.

Comparison of Risk Factors of Falling for Psychiatric Inpatients and General Ward Inpatients Who Had Fallen

2021 ◽  
pp. 107839032110330
Author(s):  
Wen P. Chang ◽  
Hsiu J. Jen
Keyword(s):  
Risk Factors ◽  
Multinomial Logistic Regression ◽  
Psychiatric Patients ◽  
Length Of Hospital Stay ◽  
Psychiatric Inpatients ◽  
General Ward ◽  
Prevention Measures ◽  
Risk Of Falling ◽  
Multinomial Logistic Regression Analysis ◽  
Risk Factors For Falling

BACKGROUND: For psychiatric patients, the issue of falling is complex. OBJECTIVE: The objective of this study was to compare the risk factors for falling in psychiatric inpatients and general ward inpatients who had fallen. METHODS: The researchers first derived official fall records for 122 psychiatric inpatients and then selected 122 psychiatric inpatients who had not fallen as well as 122 general ward patients who had fallen, matched for gender, age, and length of hospital stay at the time of the fall incident. RESULTS: After controlling other variables, multinomial logistic regression analysis revealed that psychiatric inpatients who had fallen and had dizziness (odds ratio [OR] = 7.11, p < .001), had an unsteady gait (OR = 1.97, p = .030), or were not using aids (OR = 0.42, p = .042) were at greater risk of falling than those who had not fallen. The researchers also found that general ward inpatients who had fallen and had higher Charlson Comorbidity Index scores (OR = 1.77, p < .001), were clear-headed (OR = 27.15, p = .001), had dizziness (OR = 11.55, p < .001), were unable to walk (OR = 64.28, p < .001), or were using aids (OR = 3.86, p = .001) were at greater risk of falling than those who had not fallen before. CONCLUSIONS: The causes of falling among psychiatric inpatients and general ward inpatients are different. Medical personnel should understand the medications and attributes of patients for an accurate assessment of their risk factors for falling and thus implement fall prevention measures and health education to reduce falls.

scholarly journals Assessing the Relationships Between COVID-19 Stay-at-Home Orders and Opioid Overdoses in the State of Pennsylvania

2021 ◽  
pp. 002204262110063
Author(s):  
Brian King ◽  
Ruchi Patel ◽  
Andrea Rishworth
Keyword(s):  
Age Groups ◽  
The United States ◽  
Opioid Use Disorder ◽  
Opioid Overdose ◽  
Policy Recommendations ◽  
Opioid Use ◽  
Fentanyl Analogs ◽  
Measure Change ◽  
Using Data ◽  
At Home

COVID-19 is compounding opioid use disorder throughout the United States. While recent commentaries provide useful policy recommendations, few studies examine the intersection of COVID-19 policy responses and patterns of opioid overdose. We examine opioid overdoses prior to and following the Pennsylvania stay-at-home order implemented on April 1, 2020. Using data from the Pennsylvania Overdose Information Network, we measure change in monthly incidents of opioid-related overdose pre- versus post-April 1, and the significance of change by gender, age, race, drug class, and naloxone doses administered. Findings demonstrate statistically significant increases in overdose incidents among both men and women, White and Black groups, and several age groups, most notably the 30–39 and 40–49 ranges, following April 1. Significant increases were observed for overdoses involving heroin, fentanyl, fentanyl analogs or other synthetic opioids, pharmaceutical opioids, and carfentanil. The study emphasizes the need for opioid use to be addressed alongside efforts to mitigate and manage COVID-19 infection.

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