scholarly journals The Impact of Ski Geometry Data and Standing Height on the Risk of Falling in Recreational Alpine Skiers

2021 ◽  
Vol 11 (21) ◽  
pp. 9912
Author(s):  
Gerhard Ruedl ◽  
Markus Posch ◽  
Klaus Greier ◽  
Martin Faulhaber ◽  
Martin Burtscher
Keyword(s):  
Environmental Factors ◽  
Multiple Logistic Regression Analysis ◽  
Body Height ◽  
Environmental Data ◽  
Risk Of Falling ◽  
Standing Height ◽  
Fitness Level ◽  
Increased Risk ◽  
Alpine Skiers ◽  
The Impact

The aim of this study was to evaluate the impact of individual, equipment-related and environmental factors associated with falls among adult recreational skiers. Individual, equipment-related (ski geometry data) and environmental data were collected by questionnaire among uninjured skiers with and without reported falls during the skiing day. Ski length, side cut radius, and width of the waist were directly recorded from the ski and standing height was measured using a digital sliding caliper. Absolute ski length was relativized to body height. A total of 1174 recreational skiers participated in this study, of whom 13.5% (n = 158) reported at least one fall during the skiing day. Results of the multiple logistic regression analysis found that a lower age, a very good/good fitness level, a moderate skiing speed, a lower relativized ski length, and fresh and grippy snow conditions decreased, while a lower skill level, a larger sidecut radius and an easy slope difficulty increased risk of falling on ski slopes. Besides individual and environmental factors, a lower relativized ski length and a lower sidecut radius decreased the risk of falling. Considering these ski geometry parameters when buying new skis could potentially decrease the risk of falling and thus prevent injuries in recreational skiers.

scholarly journals The impact of environmental variables on the spread of COVID-19 in the Republic of Korea

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yong Kwan Lim ◽  
Oh Joo Kweon ◽  
Hye Ryoun Kim ◽  
Tae-Hyoung Kim ◽  
Mi-Kyung Lee
Keyword(s):  
Environmental Factors ◽  
Virus Disease ◽  
Environmental Parameters ◽  
Environmental Data ◽  
Republic Of Korea ◽  
Metropolitan Region ◽  
Health Concern ◽  
Ozone Level ◽  
The Republic ◽  
The Impact

AbstractCorona virus disease 2019 (COVID-19) has been declared a global pandemic and is a major public health concern worldwide. In this study, we aimed to determine the role of environmental factors, such as climate and air pollutants, in the transmission of COVID-19 in the Republic of Korea. We collected epidemiological and environmental data from two regions of the Republic of Korea, namely Seoul metropolitan region (SMR) and Daegu-Gyeongbuk region (DGR) from February 2020 to July 2020. The data was then analyzed to identify correlations between each environmental factor with confirmed daily COVID-19 cases. Among the various environmental parameters, the duration of sunshine and ozone level were found to positively correlate with COVID-19 cases in both regions. However, the association of temperature variables with COVID-19 transmission revealed contradictory results when comparing the data from SMR and DGR. Moreover, statistical bias may have arisen due to an extensive epidemiological investigation and altered socio-behaviors that occurred in response to a COVID-19 outbreak. Nevertheless, our results suggest that various environmental factors may play a role in COVID-19 transmission.

Gene–environment interplay in the etiology of psychosis

2018 ◽  
Vol 48 (12) ◽  
pp. 1925-1936 ◽  
Author(s):  
Alyson Zwicker ◽  
Eileen M. Denovan-Wright ◽  
Rudolf Uher
Keyword(s):  
Environmental Factors ◽  
Genetic Risk ◽  
Environmental Exposures ◽  
Response To Treatment ◽  
Human Potential ◽  
Specific Gene ◽  
Environment Interaction ◽  
Gene Environment ◽  
Increased Risk ◽  
The Impact

AbstractSchizophrenia and other types of psychosis incur suffering, high health care costs and loss of human potential, due to the combination of early onset and poor response to treatment. Our ability to prevent or cure psychosis depends on knowledge of causal mechanisms. Molecular genetic studies show that thousands of common and rare variants contribute to the genetic risk for psychosis. Epidemiological studies have identified many environmental factors associated with increased risk of psychosis. However, no single genetic or environmental factor is sufficient to cause psychosis on its own. The risk of developing psychosis increases with the accumulation of many genetic risk variants and exposures to multiple adverse environmental factors. Additionally, the impact of environmental exposures likely depends on genetic factors, through gene–environment interactions. Only a few specific gene–environment combinations that lead to increased risk of psychosis have been identified to date. An example of replicable gene–environment interaction is a common polymorphism in theAKT1gene that makes its carriers sensitive to developing psychosis with regular cannabis use. A synthesis of results from twin studies, molecular genetics, and epidemiological research outlines the many genetic and environmental factors contributing to psychosis. The interplay between these factors needs to be considered to draw a complete picture of etiology. To reach a more complete explanation of psychosis that can inform preventive strategies, future research should focus on longitudinal assessments of multiple environmental exposures within large, genotyped cohorts beginning early in life.

scholarly journals Impact of Birth Weight and Length on Primary Hypertension in Children

2019 ◽  
Vol 16 (23) ◽  
pp. 4649
Author(s):  
Aneta Weres ◽  
Joanna Baran ◽  
Ewelina Czenczek-Lewandowska ◽  
Justyna Leszczak ◽  
Artur Mazur
Keyword(s):  
Body Weight ◽  
Birth Weight ◽  
Gestational Age ◽  
Primary Schools ◽  
Body Height ◽  
Primary Hypertension ◽  
Increased Risk ◽  
Appropriate For Gestational Age ◽  
The Impact ◽  
Hypertension In Children

Background: A child’s birth parameters not only enable assessment of intrauterine growth but are also helpful in identifying children at risk of developmental defects or diseases occurring in adulthood. Studies show that children born with a body weight that is small for their gestational age (SGA) are at a greater risk of hypertension though the inverse relation between excessive birth weight and the risk of primary hypertension in children is discussed less frequently. Purpose: To assess the impact of both birth weight and length on hypertension occurring in children aged 3–15 years. Methods: A total of 1000 children attending randomly selected primary schools and kindergartens were examined. Ultimately, the analyses took into account n = 747 children aged 4–15; 52.6% boys and 47.4% girls. The children’s body height and weight were measured; their blood pressure was examined using the oscillometric method. Information on perinatal measurements was retrieved from the children’s personal health records. Results: Compared to the children with small for gestational age (SGA) birth weight, the children with appropriate for gestational age birth weight (AGA) (odds ratio (OR) 1.31; 95% confidence interval (CI) 0.64–2.65) present greater risk for primary hypertension. Infants born with excessive body weight >4000 g irrespective of gestational age, compared to infants born with normal body weight, show increased risk of primary hypertension (OR 1.19; 95% CI 0.68–2.06). Higher risk of hypertension is observed in infants born with greater body length (OR 1.03; 95% CI 0.97–1.08). Conclusions: The problem of hypertension may also affect children with birth weight appropriate for gestational age. The prevalence of hypertension in children with AGA birth weight decreases with age. Birth length can be a potential risk factor for hypertension in children and adolescents.

The Association between TREM2 Gene and Late-Onset Alzheimer’s Disease in Chinese Han Population

Gerontology ◽  
2021 ◽  
pp. 1-7
Author(s):  
Yan Sun ◽  
Yun-Ke Zhang ◽  
Hai Chen ◽  
Ren-Shou Chen
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Environmental Factors ◽  
Logistic Regression Analysis ◽  
Late Onset ◽  
Increased Risk ◽  
The Impact ◽  
Load Risk

Objective: : The objective of this study was to evaluate the impact of single nucleotide polymorphisms (SNPs) in triggering receptor expressed on the myeloid cells 2 protein (TREM2) gene and their interaction with environmental factors and haplotypes on late-onset Alzheimer’s disease (LOAD). Methods: DNA was extracted from the whole blood of the participants and genotyped using PCR and followed by restriction fragment length polymorphism. The Hardy-Weinberg equilibrium test was used in the control group. Multivariate logistic regression analysis was used to determine the relationship between the 4 SNPs of the TREM2 gene and the risk of LOAD. Generalized multifactor dimensionality reduction was used to test the best interaction combination between SNPs and environmental factors. Results: Logistic regression analysis showed that the T allele of rs75932628 and the T allele of rs2234253 were independently associated with increased risk of LOAD, and adjusted odds ratios (ORs) were 1.81 (1.271–2.35) and 1.59 (1.15–2.03), respectively. However, there was no significant association with LOAD for rs142232675 and rs143332484. We found a best model significantly associated with LOAD risk that consisted of rs75932628 and smoking, which scored 10/10 for both the sign test and cross-validation consistency (p = 0.012). Stratified analysis indicated that current smokers with rs75932628-CT/TT genotype have the highest LOAD risk compared to never smokers with rs75932628 – CC genotype, OR (95% confidence interval) = 2.73 (1.72–3.79). Haplotypes of rs75932628 and rs2234253 were analyzed using the SHEsis online software. However, no haplotype was found to be significantly associated with the risk of LOAD. Conclusions: The T allele of rs75932628 and the T allele of rs2234253 and interaction between rs75932628 and smoking were all correlated with increased risk of LOAD.

Early life environment: does it have implications for predisposition to disease?

2002 ◽  
Vol 14 (6) ◽  
pp. 292-302 ◽  
Author(s):  
Nola Shanks
Keyword(s):  
Environmental Factors ◽  
Immune Function ◽  
Hpa Axis ◽  
Early Life ◽  
Inflammatory Responses ◽  
Psychiatric Disease ◽  
Disease Etiology ◽  
Increased Risk ◽  
The Impact ◽  
Postnatal Factors

Early life environmental factors have been associated with altered predisposition to a variety of pathologies. A considerable literature examines pre- and postnatal factors associated with increased risk of cardiovascular, metabolic (i.e. insulin resistance, hyperlipidemia) and psychiatric disease, and the importance of hormonal programming. The brain is exquisitely sensitive to environmental inputs during development and the stress responsiveness of the hypothalamic–pituitary–adrenal (HPA) axis has been shown to be both up- and down-regulated by early life exposure to limited nutrition, stress, altered maternal behaviors, synthetic steroids and inflammation. It has been suggested that peri-natal programming of HPA axis regulation might therefore contribute to metabolic and psychiatric disease etiology. In addition, glucocorticoids play modulatory roles regulating many aspects of immune function, notably controlling both acute and chronic inflammatory responses. Neuroendocrine–immune communication is bidirectional, and therefore it is expected that environmental factors altering HPA regulation have implications for stress effects on immune function and predisposition to inflammation. The impact of pre- and postnatal factors altering immune function, stress responsivity and predisposition to inflammatory disease are reviewed. It is also examined whether the early ‘immune environment’ might similarly influence predisposition to disease and alter neuroendocrine function. Evidence indicating a role for early life inflammation and infection as an important factor programming the neuroendocrine–immune axis and altering predisposition to disease is considered.

scholarly journals Enhancing operations management through smart sensors: measuring and improving well-being, interaction and performance of logistics workers

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Davide Aloini ◽  
Andrea Fronzetti Colladon ◽  
Peter Gloor ◽  
Emanuele Guerrazzi ◽  
Alessandro Stefanini
Keyword(s):  
Environmental Factors ◽  
Operations Management ◽  
Material Handling ◽  
Empirical Studies ◽  
Well Being ◽  
Individual Characteristics ◽  
Environmental Data ◽  
Content Type ◽  
And Performance ◽  
The Impact

PurposeThe purpose of the research is to conduct an exploratory investigation of the material handling activities of an Italian logistics hub. Wearable sensors and other smart tools were used for collecting human and environmental features during working activities. These factors were correlated with workers' performance and well-being.Design/methodology/approachHuman and environmental factors play an important role in operations management activities since they significantly influence employees' performance, well-being and safety. Surprisingly, empirical studies about the impact of such aspects on logistics operations are still very limited. Trying to fill this gap, the research empirically explores human and environmental factors affecting the performance of logistics workers exploiting smart tools.FindingsResults suggest that human attitudes, interactions, emotions and environmental conditions remarkably influence workers' performance and well-being, however, showing different relationships depending on individual characteristics of each worker.Practical implicationsThe authors' research opens up new avenues for profiling employees and adopting an individualized human resource management, providing managers with an operational system capable to potentially check and improve workers' well-being and performance.Originality/valueThe originality of the study comes from the in-depth exploration of human and environmental factors using body-worn sensors during work activities, by recording individual, collaborative and environmental data in real-time. To the best of the authors' knowledge, the current paper is the first time that such a detailed analysis has been carried out in real-world logistics operations.

scholarly journals The impact of the COVID-19 pandemic on parents’ behavior toward scheduled pediatric vaccinations in Saudi Arabia

2021 ◽  
Vol 15 (08) ◽  
pp. 1054-1058
Author(s):  
Abdullah Saleh Al-Nafeesah ◽  
Abdullah Saleh Aldamigh ◽  
Basel Abdulrahman Almansoor ◽  
Osama Al-Wutayd ◽  
Ashwaq Ahmed AlE'ed
Keyword(s):  
Logistic Regression ◽  
Saudi Arabia ◽  
Multiple Logistic Regression Analysis ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
World Health ◽  
Online Questionnaire ◽  
Cross Sectional ◽  
Increased Risk ◽  
The Impact

Introduction: Coronavirus disease (COVID-19) is caused by a newly discovered coronavirus and has resulted in a global pandemic. The World Health Organization recommended avoiding any delay or disruption of immunization services, as this could result in increases in outbreak-prone vaccine-preventable diseases. This study aimed to determine the impact of the COVID-19 pandemic on parents’ behaviour towards their children’s scheduled vaccinations. Methodology: This web-based cross-sectional study recruited 1,143 parents/guardians of children below six years of age living in Saudi Arabia between May 1 and May 30, 2020 via social media platforms. A self-developed online questionnaire consisting of eight items was used. Simple and multiple binary logistic regression was used to determine the factors associated with vaccine delay during the COVID-19 pandemic. Results: The parents/guardians were aged 20–60 years; 82% were aged between 20 and 39 years. It was found that 26% of parents did not vaccinate their children on time according to the national immunization schedule in regular situations, and 38% of parents reported delaying vaccination due to the COVID-19 pandemic. The multiple logistic regression analysis found that having two or more children, living in Riyadh or the Western region or not vaccinating children during regular situations were associated with an increased risk of vaccine delay during the COVID-19 pandemic. Conclusions: Delaying children’s vaccinations during the COVID-19 pandemic was influenced most by living in regions with high COVID-19 prevalence and having two or more children.

scholarly journals Titanium Cervical Cage Subsidence: Postoperative Computed Tomography Analysis Defining Incidence and Associated Risk Factors

2021 ◽  
pp. 219256822110468
Author(s):  
Zachariah W. Pinter ◽  
Ryder Reed ◽  
Sarah E. Townsley ◽  
Anthony L Mikula ◽  
Lauren Dittman ◽  
...  
Keyword(s):  
Risk Factors ◽  
Computed Tomography ◽  
Body Height ◽  
Ct Scans ◽  
Height Loss ◽  
Increased Risk ◽  
Cage Subsidence ◽  
Associated Risk Factors ◽  
The Impact

Study Design Retrospective cohort study Objective Substantial variability in both the measurement and classification of subsidence limits the strength of conclusions that can be drawn from previous studies. The purpose of this study was to precisely characterize patterns of cervical cage subsidence utilizing computed tomography (CT) scans, determine risk factors for cervical cage subsidence, and investigate the impact of subsidence on pseudarthrosis rates. Methods We performed a retrospective review of patients who underwent one- to three-levels of anterior cervical discectomy and fusion (ACDF) utilizing titanium interbodies with anterior plating between the years 2018 and 2020. Subsidence measurements were performed by two independent reviewers on CT scans obtained 6 months postoperatively. Subsidence was then classified as mild if subsidence into the inferior and superior endplate were both ≤2 mm, moderate if the worst subsidence into the inferior or superior endplate was between 2 to 4 mm, or severe if the worst subsidence into the inferior or superior endplate was ≥4 mm. Results A total of 51 patients (100 levels) were included in this study. A total of 48 levels demonstrated mild subsidence (≤2 mm), 38 demonstrated moderate subsidence (2-4 mm), and 14 demonstrated severe subsidence (≥4 mm). Risk factors for severe subsidence included male gender, multilevel constructs, greater mean vertebral height loss, increased cage height, lower Taillard index, and lower screw tip to vertebral body height ratio. Severe subsidence was not associated with an increased rate of pseudarthrosis. Conclusion Following ACDF with titanium cervical cages, subsidence is an anticipated postoperative occurrence and is not associated with an increased risk of pseudarthrosis.

scholarly journals Impact of IL-10 gene polymorphisms and its interaction with environment on susceptibility to systemic lupus erythematosus

2020 ◽  
Vol 34 ◽  
pp. 205873842094591
Author(s):  
Gui-Hong Wang ◽  
Ting Zuo ◽  
Zheng-Cai Zuo
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Logistic Regression ◽  
Environmental Factors ◽  
Lupus Erythematosus ◽  
Nucleotide Polymorphisms ◽  
Systemic Lupus ◽  
Chi Square ◽  
Increased Risk ◽  
Never Smokers ◽  
The Impact

This study aims to explore the impact of interleukin (IL)-10 single nucleotide polymorphisms (SNPs) and its interaction with environment on the risk of systemic lupus erythematosus (SLE). Chi-square testing method was used to investigate whether the distributions for genotype of four SNPs were differed from Hardy-Weinberg equilibrium (HWE). Logistic regression was used to test the association between IL-10 SNPs and SLE risk. The best interaction combinations between IL-10 SNPs and environmental factors were assessed by generalized multifactor dimensionality reduction (GMDR). Both rs1800896-G and rs1800871-T alleles were associated with increased risk of SLE, the odds ratios (ORs) (95% confidence interval (CI)) for the two SNPs were 1.68 (1.25–2.09) and 1.47 (1.12–1.94), respectively. Then, we used the GMDR method to analyze the high-order interactions of four SNPs within IL-10 gene and environmental factors on SLE risk. We found a significant interaction combination (two-locus model with P = 0.001) between rs1800896 and smoking, after adjusting for gender, age, body mass index (BMI), and alcohol drinking. We also used two-variable stratified analysis by logistic regression to analyze the synergistic effect between two variables (rs1800896 and smoking), which had significant significance in GMDR model. We found that current smokers with rs1800896-AG or GG genotype have the highest SLE risk, compared with never smokers with the rs1800896-AA genotype, OR (95% CI) = 2.24 (1.52–3.58). The rs1800896-G and rs1800871-T alleles and interaction between rs1800896 and current smoking were all associated with increased risk of SLE.

scholarly journals Association between Sleep Duration and Subclinical Thyroid Dysfunction Based on Nationally Representative Data

2019 ◽  
Vol 8 (11) ◽  
pp. 2010 ◽  
Author(s):  
Woojun Kim ◽  
Jeongmin Lee ◽  
Jeonghoon Ha ◽  
Kwanghoon Jo ◽  
Dong-Jun Lim ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Thyroid Function ◽  
Subclinical Hypothyroidism ◽  
Thyroid Dysfunction ◽  
Multiple Logistic Regression Analysis ◽  
Subclinical Hyperthyroidism ◽  
Free T4 ◽  
Representative Data ◽  
Increased Risk ◽  
The Impact

Background: Sleep duration is an identified risk factor for adverse health outcomes. As the endocrine system is closely intertwined with sleep duration and quality, the association between endocrine dysfunction and sleep has been evaluated. Thyroid function, particularly that related to thyrotropin (TSH), is also known to be influenced by the sleep/awake status and circadian rhythm. Additionally, a link between sleep duration and autoimmunity, which is a common cause of thyroid dysfunction, has been suggested; however, depending on the sleep deprivation method used in studies, the effects of sleep on thyroid function vary. The relationship between subclinical thyroid dysfunction and sleep duration is poorly documented. Thus, to elucidate the impact of sleep on thyroid function, we investigated the association of subclinical thyroid dysfunction with sleep duration using representative data from the sixth Korea National Health and Nutrition Examination Survey, conducted from 2013 to 2015. Methods: In all, 4945 participants (2543 male and 2402 female) were included after excluding subjects using the following criteria: <19 years of age, free T4 level outside the normal range, history of thyroid disease, or incomplete data. The population was classified into three groups: short sleeper (<7 h/day), normal sleeper (7–8 h/day), and long sleeper (>8 h/day). The odds ratio (OR) for subclinical hypothyroidism or hyperthyroidism according to sleep duration was evaluated. Results: The short, normal, and long sleeper groups consisted of 2097, 2514, and 334 subjects, respectively. On multiple logistic regression analysis, compared to normal sleepers, short sleepers showed a significantly increased risk of subclinical hyperthyroidism (OR 1.37, 95% confidential interval (CI) 1.02–1.84, p = 0.036), while the risk of subclinical hypothyroidism in short sleepers was not elevated. Comparing long sleepers to normal sleepers, the OR for subclinical hyperthyroidism and hypothyroidism was 1.79 (95% CI 1.12–2.86, p = 0.015) and 1.91 (95% CI 1.03–3.53, p = 0.039), respectively. Conclusions: Both shorter and longer sleep durations were associated with an increase in the risk of subclinical thyroid dysfunction compared to the optimal sleep duration. This analysis of representative population data shows that sleep duration could intertwine with thyroid function resulting in increased risk of subclinical thyroid dysfunction.

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