Epidemiological Research Research Articles

Oral mucositis assessment in pediatric and adolescent oncological patients: A systematic review.

Oral mucositis (OM) is a prevalent acute adverse effect of various cancer treatments. Accurate assessment of OM is vital for effective prevention and treatment strategies. However, a lack of validated pediatric instruments for evaluating OM can lead to unreliable data, and hinder interventional and epidemiological research. This study aims to evaluate the methods used for assessing OM in pediatric oncology patients. A systematic review of four databases and a manual search yielded 113 articles. Nine different scales were identified, with the World Health Organization (WHO) scale being the most commonly used (61.9%). The Children's International Mucositis Evaluation Scale (ChIMES) was used in 7.9% of the studies. Of the 8155 pediatric patients evaluated, 47.7% had both hematological malignancies and malignant solid tumors, while 46% had solely hematological malignancies. Despite the prevalence of the WHO scale, it lacks pediatric-specific criteria. Future OM research should incorporate validated tools like ChIMES for improved pediatric assessment.

Validity and Reliability According to the Type of Examiners in the Process of Calibrating Dental Caries Experience Using the DMFT Index.

The process of examiner calibration is an essential step in all epidemiological research, as it aims to ensure uniform interpretation, understanding, and application of the instrument to be used. This ensures that the data collected will be valid and reliable. This study aimed to determine the differences in concordance in dental caries calibration across three dental specialties. The population consisted of 45 dentists, divided into three groups: 15 general dentists working in the public sector, 15 dentists specializing in Dental Public Health, and 15 dentists specializing in Restorative and Aesthetic Dentistry. The calibration process was carried out in three stages: theory, calibration using photographs, and calibration on natural teeth, performed by the gold standard. In the first validity process, a statistical difference was only found between the Kappa values of the inter-examiner calibration process using photographs. For the evaluation of teeth, in the second validity process, 33.33% (n = 15) of the participants achieved "almost perfect agreement." Finally, only 75.56% (n = 34) of the examiners were considered for the reliability report; of this group, 52.94% (n = 18) were in "almost perfect agreement," and 35.29% (n = 12) were in "substantial agreement." The validity and reliability of the dental caries experience calibration process did not present significant statistical differences between general dentists in the public sector, dentists specializing in Dental Public Health, and dentists specializing in Restorative and Aesthetic Dentistry.

Disparities in Heart Failure Deaths among Patients with Cirrhosis

Background: Heart failure deaths have increased in recent years in the United States and are projected to continue to increase in the future. Rates of liver disease and cirrhosis have similarly increased in the United States. Patients with cirrhosis are at an elevated risk of heart failure with a worsened prognosis. As such, investigations of the epidemiology of these comorbid conditions are important. Methods: We obtained data on heart failure deaths among people with cirrhosis in the United States from 1999 to 2020 from the Centers for Disease Control Wide-ranging Online Data for Epidemiologic Research multiple cause of death database. Rates were analyzed for the population as a whole and for demographic subgroups. Results: From 1999 to 2020, there were 7424 cirrhosis-related heart failure deaths. Rates were higher among Black (AAMR ratio = 1.288, 95% CI: 1.282–1.295) and Asian people (AAMR ratio = 3.310, 95% CI: 3.297–3.323) compared to White people. Rates were also higher in rural areas than in urban areas (AAMR ratio = 1.266, 95% CI: 1.261–1.271). Rates increased over time across demographic subgroups. Conclusions: People with cirrhosis are at an elevated risk of heart failure death compared to the general population. Rates were particularly elevated in Asian people, Black people, males, and people living in rural areas. These data indicate a significant and previously underappreciated disease burden. Clinicians taking care of cirrhosis patients should be aware of the risk of heart failure and should collaborate with cardiac specialists as needed.

The link between the risk of cardiovascular diseases and the intake of different types of dietary carbohydrates in Iranian adults.

The risk of cardiovascular diseases (CVDs) may be influenced by dietary carbohydrates. The aim of this study was to investigate the link between CVDs and the intake of carbohydrates. In this cross-sectional study, data was extracted from the Prospective Epidemiologic Research Studies in Iran (PERSIAN) cohort in Sabzevar, Iran. A total of 4241 adults, including 1535 patients with CVDs and 2706 people without CVDs, were included. A validated 237-item food frequency questionnaire was used to estimate the intake of different types of dietary carbohydrates. A positive association was found between stroke and dietary intake of starch (OR = 1.108; 95% CI, 1.005-1.220; P = 0.039). Additionally, a negative association was found between stroke and dietary intake of sucrose (OR = 0.97; 95%CI, 0.94-0.99; P = 0.037). No association was found between other types of CVDs and the intake of different types of carbohydrates. This study provided some evidence for the association between CVDs and different types of dietary carbohydrates. Consumption of starch may increase the risk of stroke, while a higher intake of sucrose may decrease the risk of stroke. Further studies are warranted.

Self-rated health in late adolescence as a predictor for mortality between 46 and 70 years of age

Self-rated health is a common assessment used in epidemiological research and an independent predictor of morbidity and mortality. We investigate if a single measure of self-rated health in late adolescence predict mortality between 46 and 70 years of age. This study was based on 47 286 Swedish men that conscribed 1969–1970 at age 18–20 and that were still alive in 1997. Self-rated health and data on potential explanatory factors (psychological factors, health status markers and health behaviors) were collected at conscription. Adult socioeconomic position in 1990 was derived from registries. Death and cause of death (cancer, cardiovascular disease, violent and alcohol abuse related disorders) were derived from the Causes of Death Register between 1997 and 2019. Conscripts that rated their health as fair or poor/very poor had significantly higher hazard of all-cause mortality than conscript that rated their health as very good (HRfair = 1.27, 95%CI:1.18–1.37 and HRpoor = 1.25, 95%CI:1.11–1.41) and disease-specific mortality. Adjusting for all explanatory factors attenuated the risk estimates by 9–100%. In conclusion, poor self-rated health reported in late adolescence predicts all-cause and disease-specific mortality between the ages of 46 and 70 years. Psychological factors and health behaviors measured at conscription may serve as potential explanatory factors underlying the predictive ability of self-rated health in late adolescence.

Machine Learning Early Detection of SARS-CoV-2 High-Risk Variants.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has evolved many high-risk variants, resulting in repeated COVID-19 waves overthe past years. Therefore, accurate early warning of high-risk variants is vital for epidemic prevention and control. However, detecting high-risk variants through experimental and epidemiological research is time-consuming and often lags behind the emergence and spread of these variants. In this study, HiRisk-Detector a machine learning algorithm based on haplotype network, is developed for computationally early detecting high-risk SARS-CoV-2 variants. Leveraging over 7.6 million high-quality and complete SARS-CoV-2 genomes and metadata, the effectiveness, robustness, and generalizability of HiRisk-Detector are validated. First, HiRisk-Detector is evaluated on actual empirical data, successfully detecting all 13 high-risk variants, preceding World Health Organization announcements by 27 days on average. Second, its robustness is tested by reducing sequencing intensity to one-fourth, noting only a minimal delay of 3.8 days, demonstrating its effectiveness. Third, HiRisk-Detector is applied to detect risks among SARS-CoV-2 Omicron variant sub-lineages, confirming its broad applicability and high ROC-AUC and PR-AUC performance. Overall, HiRisk-Detector features powerful capacity for early detection of high-risk variants, bearing great utility for any public emergency caused by infectious diseases or viruses.

Association between serum iron and gallstones in US adults: a cross-sectional study

BackgroundGallstones are a common digestive disorder that threatens human health. Iron deficiency may be related to the formation of gallstones, but there is limited current epidemiological research. The objective of this study was to investigate the relationship between iron status and gallstones.MethodsThe datasets from the National Health and Nutrition Examination Survey (NHANES) 2017–2020 were used in a cross-sectional investigation. Gallstones were determined by using the 2007–2010 NHANES questionnaire. Multivariate linear regression models were used to examine the association between serum iron, serum ferritin and iron intake with the risk for gallstones. Subgroup analysis based on gender, age, race, and diabetes were performed. Fitted smoothing curves were used to describe the linear relationship.ResultsThe research involved 7847 participants aged 20 and above, among whom 845 were identified as having gallstones. Participants with higher serum iron levels tended to have a lower gallstones prevalence. A negative relationship between serum iron and gallstones prevalence was observed (OR = 0.979, 95% CI:0.965–0.992). The group with the highest serum iron tertile had a 23.7% lower risk of gallstones compared to the lowest tertile (OR = 0.763, 95% CI:0.628‒0.929). Gallstone prevalence was inversely correlated with iron intake in model 1. The negative association between serum iron and gallstones remained stable in stratifications, including gender, age, race, and diabetes.ConclusionsElevated serum iron was associated with a decreased prevalence of gallstones. However, to confirm the impact of long-term iron metabolism on gallstone formation, additional prospective research is necessary.

The role of age and sex in non-linear dilution adjustment of spot urine arsenic

BackgroundPrevious research introduced V-PFCRC as an effective spot urinary dilution adjustment method for various metal analytes, including the major environmental toxin arsenic. V-PFCRC normalizes analytes to 1 g/L creatinine (CRN) by adopting more advanced power-functional corrective equations accounting for variation in exposure level. This study expands on previous work by examining the impacts of age and sex on corrective functions.MethodsLiterature review of the effects of sex and age on urinary dilution and the excretion of CRN and arsenic. Data analysis included a Data Set 1 of 5,752 urine samples and a partly overlapping Data Set 2 of 1,154 combined EDTA blood and urine samples. Both sets were classified into age bands, and the means, medians, and interquartile ranges for CRN and TWuAs in uncorrected (UC), conventionally CRN-corrected (CCRC), simple power-functional (S-PFCRC), sex-aggregated (V-PFCRC SA), and sex-differentiated V-PFCRC SD modes were compared. Correlation analyses assessed residual relationships between CRN, TWuAs, and age. V-PFCRC functions were compared across three numerically similar age groups and both sexes. The efficacy of systemic dilution adjustment error compensation was evaluated through power-functional regression analysis of residual CRN and the association between arsenic in blood and all tested urinary result modes.ResultsSignificant sex differences in UC and blood were neutralized by CCRC and reduced by V-PFCRC. Age showed a positive association with blood arsenic and TWuAs in all result modes, indicating factual increments in exposure. Sex-differentiated V-PFCRC best matched the sex-age kinetics of blood arsenic. V-PFCRC formulas varied by sex and age and appeared to reflect urinary osmolality sex-age-kinetics reported in previous research.V-PFCRC minimized residual biases of CRN on TWuAs across all age groups and sexes, demonstrating improved standardization efficacy compared to UC and CCRC arsenic.InterpretationSex differences in UC and CCRC arsenic are primarily attributable to urinary dilution and are effectively compensated by V-PFCRC. While the sex and age influence on V-PFCRC formulas align with sex- and age-specific urinary osmolality and assumed baseline vasopressor activities, their impact on correction validity for entire collectives is minimal.ConclusionThe V-PFCRC method offers a robust correction for urinary arsenic dilution, significantly reducing systemic dilution adjustment errors. Its application in various demographic contexts enhances the accuracy of urinary biomarker assessments, benefiting clinical and epidemiological research. V-PFCRC effectively compensates for sex differences in urinary arsenic. Age-related increases in TWuAs are exposure-related and should be additionally accounted for by algebraic normalization, covariate models, or standard range adjustments.

Understanding the Dry Eye Disease-Related Symptoms in South America: Prevalence and Associated Factors-A Systematic Review.

Background/Objectives: Dry eye disease is a leading cause of ophthalmologic consultations worldwide and can significantly impact quality of life. While global prevalence rates vary widely, data specific to South America are limited. This systematic review aims to describe and analyze the prevalence and associated factors of dry eye disease-related symptoms in South American populations. Methods: Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a systematic review was conducted using databases such as PubMed, Web of Science, Scopus, and LILACS. Primary studies in English and Spanish that examined the prevalence of dry eye disease-related symptoms in South American populations and its associated factors were included without date restrictions. Studies were screened and selected based on predefined inclusion and exclusion criteria, resulting in the final inclusion of 16 studies from six South American countries. Results: This review identified significant variability in the prevalence of dry eye disease-related symptoms in South American populations in the region, ranging from 4% to 77.5%, with a mean prevalence of 39.3%. Higher prevalence rates were observed among specific groups, such as university students (58.6%) and administrative workers (57.9%). Factors associated with dry eye disease-related symptoms in South American populations included female sex, older age, prolonged screen time, insufficient sleep, and medical conditions such as hypertension, connective tissue disorders, and the use of medications like antihypertensives and antidepressants. Conclusions: The prevalence of dry eye disease-related symptoms in South American populations is notably higher than global averages, highlighting regional challenges. This study emphasizes the need for standardized diagnostic tools and comprehensive epidemiological research across South America, particularly in underrepresented countries, to inform public health strategies tailored to the specific needs of these populations.

Objective and subjective accounts of urban exposures for epidemiological research on mental health. Measurement and analysis

The interest in the impact of urban environmental exposures (UrbEEs) on mental health has greatly increased in the last two decades. Researchers have tended to measure said exposures either via...

First report of carbapenems encoding multidrug-resistant gram-negative bacteria from a pediatric hospital in Gaza Strip, Palestine

BackgroundThe worldwide prevalence of multi-drug resistance (MDR) in Gram-negative bacteria (GNB), particularly related to extended-spectrum beta-lactamases (ESBLs) and carbapenemases, poses significant global public health and clinical challenges.ObjectivesTo characterize ESBL-producing Gram-negative bacilli, within a pediatric hospital in Gaza using whole genome sequencing (WGS).MethodsA total of 158 clinical isolates of Gram-negative bacilli were collected from Al-Nasser Pediatric Hospital. These isolates were tested for ESBL production using the double disk synergy test. The antibiotic susceptibility profile was determined using the Kirby Bauer method following the Clinical and Laboratory Standard Institute guidelines. Selected 15 phenotypically MDR isolates were whole-genome sequenced and characterized for their genome-based species identity and antibiotic resistance gene profile.ResultsOf the 158 isolates, 93 (58.9%) were positive for ESBL production. The frequency of Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, Acinetobacter baumannii, Proteus mirabilis, and Serratia marcescens was 50%, 22.7%, 22.7%, 1.8%, 1.2%, and 1.2% respectively. The prevalence of ESBL among urine, pus, blood, and sputum was 64%, 44%, 23%, and 63.6%, respectively. Chloramphenicol, Imipenem, and Meropenem were the most effective antibiotics against ESBL producers.In sequenced isolates, an average of six anti-microbial resistance (AMR) genes were noted per isolate, where one of them carried up to 13 antibiotic resistance genes. Carbapenem resistance genes such as blaKPC-2(6.6%), blaPDC-36/12 (6.6%), and blaPOM-1 (6.6%) were detected. All the sequenced E. coli isolates (n = 8) showed multiple resistance genes, mainly against β-lactamase (25.0%), aminoglycosides (37.5%), sulfonamides (37.5%), and genes conferring resistance to tetracyclines (25.0).ConclusionOur results showed a high prevalence of ESBL-producing GNB isolated from a pediatric hospital in the Gaza Strip. Various antibiotic resistance genes were identified, including those encoding ESBL and carbapenems. The results highlight the significant challenge posed by MDR in GNB and emphasize the need for effective antibiotic strategies. Given the high endemicity observed in various studies from Palestine, it is important to conduct clinical and molecular epidemiology research to identify risk factors, transmission patterns, and clinical outcomes associated with GNB strains that carry ESBL and carbapenem resistance genes.

The leading causes of death in the US and Mexico's pediatric population are related to violence: a note on secondary analyses of registered deaths from 2000 to 2022.

our objective was to analyze the trends in the leading causes of death among the pediatric population aged 1-19 years in Mexico and the United States (US) from 2000 to 2022. Methods. Data for Mexico were sourced from the National Institute of Statistics and Geography (INEGI), while the US data were extracted from the Centers for Disease Control and Prevention's Wide-ranging Online Data for Epidemiologic Research (CDC-WONDER) databases. Homicide has been the leading cause of death since 2017 in Mexico and since 2019 in US youths aged 1-19. In Mexico, it reached 6.5 deaths per 100,000 people in 2022. Despite the overall pediatric mortality decline from 2000 to 2022 in both countries, the pediatric homicide rate has increased by 93.3 and 35.8% In Mexico and the US, respectively, and suicide by 86.6 and 36.9%. In both countries, death by firearm-related injuries had risen in a parallel sense. In the US, deaths by drug overdose and poisoning have increased by 314.8%. Despite advancements in infant healthcare over the past two decades in Mexico, there remains a significant gap in the provision of healthcare services to the adolescent population. Addressing issues related to violence, mental health, and substance abuse through targeted public policies is imperative for both Mexico and the US, especially given their shared border region.

The incidence of nonampullary duodenal cancer in Japan 2016-2020: analysis of a national cancer registry.

Epidemiological research is scarce in Asian countries including Japan. We aimed to clarify the epidemiological trend of nonampullary duodenal cancer (NADC) in Japan using a national database. All patients with NADC diagnosed between 2016 and 2020 were identified from the Japanese national cancer registry. The crude and age-adjusted incidences were determined and temporal trends including diagnostic mode, tumor stage, and treatments were analyzed. A total of 14 484 patients were included. The crude and age-adjusted incidences were 21.8-23.5 and 10.7-12.1 per 1 000 000 person-years. Male-to-female ratio was 1.7:1, and the incidence increased with age. The number of patients was highest among 70-79year age group in both sexes. In total, 55% of patients were diagnosed during screening or surveillance for other diseases. In 54% of patients, the tumor stage was localized. The major treatment was surgery (32%), followed by endoscopic resection (27%). The trends for detection mode, tumor stage, and treatment were consistent during 2016-2020. This study clarified and confirmed the high incidence of duodenal cancer in Japan. Characteristically, many NADC cases are diagnosed asymptomatically and treated by endoscopic or surgical treatment.

Detection and quantification by molecular techniques of early infection by Lawsonia intracellularis in suckling piglets.

Lawsonia intracellularis is the causative agent of Porcine Proliferative Enteropathy (PPE), one of the most prevalent pig enteric diseases worldwide, but with sparse information about early infections in suckling piglets in the epidemiology of PPE. With that aim, this study evaluates the prevalence of L. intracellularis in 3-week-old piglets by analysing ileal digesta content and mucosal scrapings from 383 pigs from 16 farms (aprox., 25 pigs/batch) by real-time qPCR and droplet digital PCR (ddPCR). Forty-nine samples yielded a qPCR positive result. Eleven samples from eight farms were confirmed as positive with concentrations of L. intracellularis from 3.5 log10 to 4.5 log10 bacteria/g of sample. Another 16 samples, eight farms, were classified as low positive (2.07-2.38 log10 bacteria/g) and 22 provided an uncertain result. Finally, 334 samples tested negative for L. intracellularis. At batch level, half of the farms included in the study had at least one positive sample and in 10 farms (62.5%) there was at least one low positive sample. The ddPCR was run in 50 of the 383 samples based on their PCR output (including low positive, uncertain and negative samples). Correlation analyses revealed a strong association between qPCR and the ddPCR results (ρ = 0.75; p < 0.001). The ddPCR allowed us to detect and confirm a positive result in the 19 samples classified as uncertain by the qPCR and detect L. intracellularis in 8 of 15 negatives by qPCR. The results of the study demonstrate that a number of piglets are already infected with L. intracellularis during the suckling period evidencing early infection in certain animals, adding information of PPE epidemiology and opening new research topics such as sow-piglet transmission. Study results also evidence the usefulness of a combination of qPCR and ddPCR to improve qPCR sensitivity but assuring high specificity.

Stroke recurrence prediction using machine learning and segmented neural network risk factor aggregation

Stroke has remained a major cause of mortality and disability in the United States for years, and its recurrence significantly increased the risks. For predicting stroke recurrence, traditional data aggregation methods have limitations in effectively handling the numerous subcategories of stroke risk factors. This pilot study proposed a Segmented Neural Network-Driven Aggregation (SNA) method, and it aimed to improve the prediction model’s accuracy. Utilizing the TriNetX diagnosis dataset, we processed various risk factors and demographic information through traditional and our proposed data aggregation techniques. We applied logistic regression and random forest classifiers to predict stroke recurrence. Our findings revealed that using the SNA method significantly outperformed other aggregation methods for both classifiers. Using the SNA method with a random forest classifier achieved higher accuracy (84.2%) and a better balance between sensitivity and specificity (AUC of ROC = 0.928, AUC of PR = 0.940) compared to other combinations. These results showed the potential of machine-learning supervised encoding methods in stroke recurrence predictions, providing implications for clinical practice and future epidemiological research.

Validation study on road traffic noise: assessing various traffic scenarios

TraNQuIL2 is an epidemiological research project, which addresses the relation of acute and long-term health effects from transportation noise and the benefit of different mitigation strategies. Within this project, a small validation study on the exposure modelling for various road traffic noise situations in both rural and urban areas of Switzerland was carried out. The study focuses on evaluating the accuracy of the emission and the sound propagation modelling to nearby buildings and aims at identifying potential exposure misclassifications. Results indicate a tendency of the model to overestimate actual source emissions (mean: +1.5 dB), which might be explained by lower actual travelling speeds or different pavement properties compared to model assumptions. As the sound propagation modelling yielded accurate results, this leads to a corresponding overestimation at exposed facades. However at facades facing away from the street, larger uncertainties in the propagation calculation and a tendency to overestimate the attenuation was observed, highlighting the complex nature of sound propagation in such situations. These findings emphasize the importance of using refined emission and sound propagation models and accurate input data for noise effect studies.

Communication Breakdown - Of Disease Clusters, a Trillium and One Health.

One health is based on an interdisciplinary collaboration across professions using a common language. Geographic epidemiology is the study of spatial patterns of population health in a study area. Such spatial patterns (trend, cluster and clustering) require clear definition to be meaningful in science communication. However, the term "disease cluster" has been defined in the literature in various and rather different ways. When geographic epidemiology is unable to make sense of its own concepts it is questionable how respective research results can benefit one health. The goal of this study was to clarify the disease cluster concept. Examples of disease cluster definitions from the literature were used for illustration. The epidemiological triangle of causation (agent, host and environment) was used to conceptualize geographic epidemiological data analysis. The term disease cluster was distinguished from related concepts (clustering, high-risk area, hot spot and outbreak) additionally the semantics and statistical meaning of expectation and prediction were reviewed to further identify the cluster concept as a statistical outlier. The new paradigm of the geographic epidemiological trillium is proposed here and embedded within the spatial generalized linear mixed model to clarify concepts of spatial patterns and guide epidemiological research and teaching.

Prevalence of anemia and related factors among Tabari cohort population: a cross-sectional study

BackgroundAnemia presents a considerable public health challenge, standing as a leading contributor to elevated rates of mortality and morbidity. Therefore, this study aimed to investigate the prevalence of anemia and related factors among Tabari cohort population.MethodsThis study involved a cross-sectional investigation carried out during the enrollment phase of the Tabari cohort. The Tabari cohort is a subset of the larger nationwide cohort study known as the “Prospective Epidemiological Research Studies in IrAN” (PERSIAN) cohort. The collected data included general information, anthropometric measurements, medical history and blood samples. Anemia was defined as a hemoglobin level less than 13 mg/dL for men and less than 12 mg/dL for women. Data were analyzed using SPSS V.16.ResultsOut of the 10,073 participants included in the analysis, 1,352 individuals (13.4%) were diagnosed with anemia. In the multiple regression analysis, the odds of anemia were significantly 2.31 times in females compared to males, 3.69 times in urban residents compared to rural residents, 1.41 times in social economic categories of IV and 1.35 in social economic categories of V compared to social economic categories of I, 1.70 times in drug abuse compared to non-drug abuse, 0.71 times in body mass index (BMI) categories of 25–29.9 kg/m² and 0.70 in BMI ≥ 30 kg/m² compared to BMI < 25, 0.77 times for triglycerides(TG) > 150 compared to below 150, 0.76 times for total cholesterol(TC) > 200 compared to below 200, 0.83 times for high waist-to-hip ratio (WHR) compared to low WHR, 1.33 times in low High-density Lipoprotein (HDL) compared to high HDL, 1.18 times in diabetics (DM) compared to non-DM, and 1.37 times in individuals with coronary heart diseases (CHD) compared to healthy individuals.ConclusionAnemia was a prevalent condition among Tabari cohort population. Several conditions including female gender, urban residence, Social economic level of IV and V, drug abuse, low HDL, high WHR, DM, and CHD conditions were significantly associated with increased odds of anemia. Furthermore, BMI categories of 25–29.9 kg/m² and ≥ 30 kg/m², high TC and high TG were significantly associated with decreased odds of anemia among this population.

Epidemiology of Myopia: Prevalence, Risk Factors and Effects of Myopia.

Myopia is the most common cause of visual impairment in children and young adults. In order to assess the consequences for society, it is necessary to know temporal trends in prevalence, incidence and associated factors in childhood and adolescence, as well as the rate of myopia progression, as based on epidemiological research. This paper presents a literature review of publications from 2020 up to March 2024, supplemented by other relevant publications. The prevalence of myopia in children and adolescents in Germany is almost stable and is significantly lower than in Asia. The development of myopia is influenced by outdoor activity, parental myopia, genetics and near work, while insufficient time spent outdoors in childhood is a significant and controllable risk factor for myopia-related complications such as myopic maculopathy, glaucoma, and retinal detachment.

Canine epilepsy/seizure occurrence in primary care and referral populations: a look into the epidemiology across countries.

Epilepsy is a common neurological condition in dogs. Analysis of primary care populations across countries can provide a more complete understanding of the epidemiology of this condition and provide context for spectrum of care discussions. This narrative literature review was aimed at understanding canine epilepsy/seizure prevalence in primary care populations, and changes in occurrence across geography, culture, and socioeconomic status. There are few studies to give insight into the true general population of epileptic canines and there is inconsistency in the literature regarding the standards applied for epilepsy diagnosis across primary care and referral practices. Therefore, the future focus should be on more epidemiological research in primary care and mixed populations, more veterinary education to standardize use of medical guidelines in primary care settings, and increased awareness of the benefits of having pet insurance to mitigate the potentially substantial cost of care for dogs with epilepsy.