Environment Design
Environment
Research Design
Drug Design
Social Environment
Environment, Controlled
Computer-Aided Design
Health Facility Environment
Environmental Microbiology
Molecular Sequence Data
Ecosystem
Adaptation, Physiological
Models, Biological
Computer Simulation
Models, Molecular
Questionnaires
User-Computer Interface
United States
Distribution of room size in hospitals. (1/568)
In the design of such complex buildings as hospitals the planner's problem is to provide a minimal amount of permanent structure so that it shall not get in the way of functional behavior of the occupants and their ability to change their environment. The purpose of this study was to discover which intervals seem to occur in hospitals by measuring the room size distribution found in existing buildings or buildings ready for construction. The results seem to confirm that the range of room sizes required is small and that exceptions are relatively rare. (+info)A population-based study of environmental hazards in the homes of older persons. (2/568)
OBJECTIVES: This study sought to estimate the population-based prevalence of environmental hazards in the homes of older persons and to determine whether the prevalence of these hazards differs by housing type or by level of disability in terms of activities of daily living (ADLs). METHODS: An environmental assessment was completed in the homes of 1000 persons 72 years and older. Weighted prevalence rates were calculated for each of the potential hazards and subsequently compared among subgroups of participants characterized by housing type and level of ADL disability. RESULTS: Overall, the prevalence of most environmental hazards was high. Two or more hazards were found in 59% of bathrooms and in 23% to 42% of the other rooms. Nearly all homes had at least 2 potential hazards. Although age-restricted housing was less hazardous than community housing, older persons who were disabled were no less likely to be exposed to environmental hazards than older persons who were nondisabled. CONCLUSIONS: Environmental hazards are common in the homes of community-living older persons. (+info)Place recognition monitored by location-driven operant responding during passive transport of the rat over a circular trajectory. (3/568)
Spatial memory of animals is usually tested in navigation tasks that do not allow recognition and recall processes to be separated from the mechanisms of goal-directed locomotion. In the present study, place recognition was examined in rats (n = 7) confined in an operant chamber mounted on the periphery of a slowly rotating disk (diameter 1 m, angular velocity 9 degrees /s). The animals were passively transported over a circular trajectory and were rewarded for bar pressing when they passed across a 60 degrees -wide segment of the path. This segment was recognizable with reference to room landmarks visible from the operant box. Responding defined in the coordinate system of the room increased when the chamber entered the 60 degrees -wide approach zone, culminated at the entrance into the reward sector, was decreased inside it by eating the available reward, and rapidly declined to zero at the exit from this zone. When reward was discontinued, the skewed response distribution changed into a symmetric one with a maximum in the center of the reward sector. With advancing extinction, the response peak in the reward sector decreased in most rats proportionally to the overall decline of bar pressing. The rewarded and nonrewarded response patterns indicate that passively transported rats can recognize their position in the environment with an accuracy comparable to that of actively navigating animals and that location-driven operant responding can serve as a useful tool in the analysis of the underlying neural mechanisms. (+info)Is it feasible to construct a community profile of exposure to industrial air pollution? (4/568)
OBJECTIVE: An epidemiological investigation to assess the validity of residential proximity to industry as a measure of community exposure. METHODS: 19 Housing estates in Teesside (population 1991: 77 330) in north east England were grouped into zones: A=near; B=intermediate; C=further from industry. With residential proximity of socioeconomically matched populations as a starting point a historical land use survey, historical air quality reports, air quality monitoring, dispersion modelling data, and questionnaire data, were examined. RESULTS: The populations in zones A, B, and C were similar for socioeconomic indicators and smoking history. Areas currently closest to industry had also been closest for most of the 20th century. Historical reports highlighted the influence of industrial emissions to local air quality, but it was difficult to follow spatial pollution patterns over time. Whereas contemporary NO(x) and benzene concentrations showed no geographical variation, dispersion modelling of emissions (116 industrial stacks, traffic, and domestic sources) showed a gradient associated with industry. The presumed exposure gradient of areas by proximity to industry (A>B>C) was evident for all of zone A and most of zones B and C. CONCLUSIONS: It was feasible to assemble a picture of community exposure by integration of measurements from different sources. Proximity of residence was a reasonable surrogate for complex community exposure. (+info)Does fitness erode in the absence of selection? An experimental test with Tribolium. (5/568)
In the absence of natural selection, average fitness in the population is expected to decline due to the accumulation of deleterious mutations. Replicate populations of flour beetles (Tribolium confusum) were maintained for 22 generations in the virtual absence of selection (random mating, favorable environment, excess of food, and mortality of only 3%). Larva-to-adult survivorship rates were similar in the stock population and selection-free populations. In contrast, starvation resistance of adult beetles from selection-free populations was significantly reduced (by more than 2% per generation). When tested in the favorable environment, beetles in one selection-free population had significantly slower development and smaller sizes of females than beetles from the stock population. Since such changes in these fitness components are usually maladaptive, they indicate possible erosion of fitness under relaxed selection at the rate of 0.1-0.2% per generation. No fitness erosion was detectable in the second selection-free population. (+info)The economic implications of self-care: the effect of lifestyle, functional adaptations, and medical self-care among a national sample of Medicare beneficiaries. (6/568)
OBJECTIVES: Self-care includes actions taken by individuals to promote or ensure their health, to recover from diseases or injuries, or to manage their effects. This study measured associations between self-care practices (lifestyle practices, adaptations to functional limitations, and medical self-care) and Medicare expenditures among a national sample of adults 65 years and older. METHODS: Regression models of Medicare use and expenditures were estimated by using the National Survey of Self-Care and Aging and Medicare claims for 4 years following a baseline interview. RESULTS: Lifestyle factors (swimming and walking) and functional adaptations (general home modifications) were associated with reductions in monthly Medicare expenditures over a 12-month follow-up period. Expenditure reductions were found over the 48-month follow-up period for participation in active sports, gardening, and medical self-care. Practices associated with increases in expenditures included smoking, physical exercise (possibly of a more strenuous nature), and specific home modifications. CONCLUSIONS: Certain self-care practices appear to have significant implications for Medicare expenditures and presumptively for the health status of older adults. Such practices should be encouraged among older adults as a matter of national health policy. (+info)The association of school environments with youth physical activity. (7/568)
OBJECTIVES: This study assessed the association of school environmental characteristics with student physical activity on campus. METHODS: Physical activity areas (n = 137) at 24 public middle schools were assessed for area type, size, and improvements (e.g., basketball courts). Student physical activity and the presence of equipment and supervision were directly observed before school, after lunch, and after school. RESULTS: Environmental characteristics explained 42% of the variance in the proportion of girls who were physically active and 59% of the variance for boys. CONCLUSIONS: School environments with high levels of supervision and improvements stimulated girls and boys to be more physically active. (+info)Crash and injury reduction following installation of roundabouts in the United States. (8/568)
OBJECTIVES: This study estimated potential reductions in motor vehicle crashes and injuries associated with the use of roundabouts as an alternative to signal and stop sign control at intersections in the United States. METHODS: An empiric Bayes procedure was used to estimate changes in motor vehicle crashes following conversion of 24 intersections from stop sign and traffic signal control to modern roundabouts. RESULTS: There were highly significant reductions of 38% for all crash severities combined and of 76% for all injury crashes. Reductions in the numbers of fatal and incapacitating injury crashes were estimated at about 90%. CONCLUSIONS: Results are consistent with numerous international studies and suggest that roundabout installation should be strongly promoted as an effective safety treatment. (+info)I couldn't find a medical definition specifically for "environment design." However, in the context of healthcare and public health, "environmental design" generally refers to the process of creating or modifying physical spaces to promote health, prevent injury and illness, and improve overall well-being. This can include designing hospitals, clinics, and other healthcare facilities to optimize patient care, as well as creating community spaces that encourage physical activity and social interaction. Environmental design can also involve reducing exposure to environmental hazards, such as air pollution or noise, to protect public health.
The term "environment" in a medical context generally refers to the external conditions and surroundings that can have an impact on living organisms, including humans. This includes both physical factors such as air quality, water supply, soil composition, temperature, and radiation, as well as biological factors such as the presence of microorganisms, plants, and animals.
In public health and epidemiology, the term "environmental exposure" is often used to describe the contact between an individual and a potentially harmful environmental agent, such as air pollution or contaminated water. These exposures can have significant impacts on human health, contributing to a range of diseases and disorders, including respiratory illnesses, cancer, neurological disorders, and reproductive problems.
Efforts to protect and improve the environment are therefore critical for promoting human health and preventing disease. This includes measures to reduce pollution, conserve natural resources, promote sustainable development, and mitigate the impacts of climate change.
A research design in medical or healthcare research is a systematic plan that guides the execution and reporting of research to address a specific research question or objective. It outlines the overall strategy for collecting, analyzing, and interpreting data to draw valid conclusions. The design includes details about the type of study (e.g., experimental, observational), sampling methods, data collection techniques, data analysis approaches, and any potential sources of bias or confounding that need to be controlled for. A well-defined research design helps ensure that the results are reliable, generalizable, and relevant to the research question, ultimately contributing to evidence-based practice in medicine and healthcare.
"Drug design" is the process of creating and developing a new medication or therapeutic agent to treat or prevent a specific disease or condition. It involves identifying potential targets within the body, such as proteins or enzymes that are involved in the disease process, and then designing small molecules or biologics that can interact with these targets to produce a desired effect.
The drug design process typically involves several stages, including:
1. Target identification: Researchers identify a specific molecular target that is involved in the disease process.
2. Lead identification: Using computational methods and high-throughput screening techniques, researchers identify small molecules or biologics that can interact with the target.
3. Lead optimization: Researchers modify the chemical structure of the lead compound to improve its ability to interact with the target, as well as its safety and pharmacokinetic properties.
4. Preclinical testing: The optimized lead compound is tested in vitro (in a test tube or petri dish) and in vivo (in animals) to evaluate its safety and efficacy.
5. Clinical trials: If the preclinical testing is successful, the drug moves on to clinical trials in humans to further evaluate its safety and efficacy.
The ultimate goal of drug design is to create a new medication that is safe, effective, and can be used to improve the lives of patients with a specific disease or condition.
A "social environment" is not a term that has a specific medical definition, but it is often used in the context of public health and social sciences to refer to the physical and social conditions, relationships, and organized institutions that influence the health and well-being of individuals and communities.
The social environment includes factors such as:
* Social support networks (family, friends, community)
* Cultural norms and values
* Socioeconomic status (income, education, occupation)
* Housing and neighborhood conditions
* Access to resources (food, healthcare, transportation)
* Exposure to discrimination, violence, and other stressors
These factors can have a significant impact on health outcomes, as they can influence behaviors related to health (such as diet, exercise, and substance use), as well as exposure to disease and access to healthcare. Understanding the social environment is essential for developing effective public health interventions and policies that promote health equity and reduce health disparities.
"Controlled Environment" is a term used to describe a setting in which environmental conditions are monitored, regulated, and maintained within certain specific parameters. These conditions may include factors such as temperature, humidity, light exposure, air quality, and cleanliness. The purpose of a controlled environment is to ensure that the conditions are optimal for a particular activity or process, and to minimize the potential for variability or contamination that could affect outcomes or results.
In medical and healthcare settings, controlled environments are used in a variety of contexts, such as:
* Research laboratories: To ensure consistent and reproducible experimental conditions for scientific studies.
* Pharmaceutical manufacturing: To maintain strict quality control standards during the production of drugs and other medical products.
* Sterile fields: In operating rooms or cleanrooms, to minimize the risk of infection or contamination during surgical procedures or sensitive medical operations.
* Medical storage: For storing temperature-sensitive medications, vaccines, or specimens at specific temperatures to maintain their stability and efficacy.
Overall, controlled environments play a critical role in maintaining safety, quality, and consistency in medical and healthcare settings.
Equipment design, in the medical context, refers to the process of creating and developing medical equipment and devices, such as surgical instruments, diagnostic machines, or assistive technologies. This process involves several stages, including:
1. Identifying user needs and requirements
2. Concept development and brainstorming
3. Prototyping and testing
4. Design for manufacturing and assembly
5. Safety and regulatory compliance
6. Verification and validation
7. Training and support
The goal of equipment design is to create safe, effective, and efficient medical devices that meet the needs of healthcare providers and patients while complying with relevant regulations and standards. The design process typically involves a multidisciplinary team of engineers, clinicians, designers, and researchers who work together to develop innovative solutions that improve patient care and outcomes.
Computer-Aided Design (CAD) is the use of computer systems to aid in the creation, modification, analysis, or optimization of a design. CAD software is used to create and manage designs in a variety of fields, such as architecture, engineering, and manufacturing. It allows designers to visualize their ideas in 2D or 3D, simulate how the design will function, and make changes quickly and easily. This can help to improve the efficiency and accuracy of the design process, and can also facilitate collaboration and communication among team members.
A "Health Facility Environment" is a term used to describe the physical surroundings, including buildings, rooms, equipment, and materials, in which healthcare is delivered. This encompasses everything from hospitals and clinics to long-term care facilities and doctors' offices. The design, construction, maintenance, and operation of these environments are critical to ensuring patient safety, preventing infection, and promoting positive health outcomes.
The term "Health Facility Environment" may also refer to the specific environmental considerations within a healthcare setting, such as air quality, water supply, temperature, lighting, and noise control. These factors can significantly impact patients' comfort, well-being, and recovery and are therefore closely monitored and regulated in health facility settings.
In addition, the "Health Facility Environment" includes measures taken to prevent the transmission of infectious diseases, such as hand hygiene practices, cleaning and disinfection protocols, and waste management procedures. Healthcare facilities must adhere to strict guidelines and regulations regarding environmental safety and infection control to protect patients, staff, and visitors from harm.
In the field of medicine, "time factors" refer to the duration of symptoms or time elapsed since the onset of a medical condition, which can have significant implications for diagnosis and treatment. Understanding time factors is crucial in determining the progression of a disease, evaluating the effectiveness of treatments, and making critical decisions regarding patient care.
For example, in stroke management, "time is brain," meaning that rapid intervention within a specific time frame (usually within 4.5 hours) is essential to administering tissue plasminogen activator (tPA), a clot-busting drug that can minimize brain damage and improve patient outcomes. Similarly, in trauma care, the "golden hour" concept emphasizes the importance of providing definitive care within the first 60 minutes after injury to increase survival rates and reduce morbidity.
Time factors also play a role in monitoring the progression of chronic conditions like diabetes or heart disease, where regular follow-ups and assessments help determine appropriate treatment adjustments and prevent complications. In infectious diseases, time factors are crucial for initiating antibiotic therapy and identifying potential outbreaks to control their spread.
Overall, "time factors" encompass the significance of recognizing and acting promptly in various medical scenarios to optimize patient outcomes and provide effective care.
Environmental Microbiology is a branch of microbiology that deals with the study of microorganisms, including bacteria, fungi, viruses, and other microscopic entities, that are found in various environments such as water, soil, air, and organic matter. This field focuses on understanding how these microbes interact with their surroundings, their role in various ecological systems, and their impact on human health and the environment. It also involves studying the genetic and biochemical mechanisms that allow microorganisms to survive and thrive in different environmental conditions, as well as the potential uses of microbes for bioremediation, bioenergy, and other industrial applications.
Molecular sequence data refers to the specific arrangement of molecules, most commonly nucleotides in DNA or RNA, or amino acids in proteins, that make up a biological macromolecule. This data is generated through laboratory techniques such as sequencing, and provides information about the exact order of the constituent molecules. This data is crucial in various fields of biology, including genetics, evolution, and molecular biology, allowing for comparisons between different organisms, identification of genetic variations, and studies of gene function and regulation.
An "ecosystem" is not a term that has a specific medical definition, as it is a concept that is more commonly used in the fields of ecology and environmental science. However, I can provide you with the general ecological definition of an ecosystem:
An ecosystem is a community of living organisms interacting with each other and their non-living environment, including both biotic factors (plants, animals, microorganisms) and abiotic factors (climate, soil, water, and air). These interactions create a complex network of relationships that form the foundation of ecological processes, such as energy flow, nutrient cycling, and population dynamics.
While there is no direct medical definition for an ecosystem, understanding the principles of ecosystems can have important implications for human health. For example, healthy ecosystems can provide clean air and water, regulate climate, support food production, and offer opportunities for recreation and relaxation, all of which contribute to overall well-being. Conversely, degraded ecosystems can lead to increased exposure to environmental hazards, reduced access to natural resources, and heightened risks of infectious diseases. Therefore, maintaining the health and integrity of ecosystems is crucial for promoting human health and preventing disease.
Physiological adaptation refers to the changes or modifications that occur in an organism's biological functions or structures as a result of environmental pressures or changes. These adaptations enable the organism to survive and reproduce more successfully in its environment. They can be short-term, such as the constriction of blood vessels in response to cold temperatures, or long-term, such as the evolution of longer limbs in animals that live in open environments.
In the context of human physiology, examples of physiological adaptation include:
1. Acclimatization: The process by which the body adjusts to changes in environmental conditions, such as altitude or temperature. For example, when a person moves to a high-altitude location, their body may produce more red blood cells to compensate for the lower oxygen levels, leading to improved oxygen delivery to tissues.
2. Exercise adaptation: Regular physical activity can lead to various physiological adaptations, such as increased muscle strength and endurance, enhanced cardiovascular function, and improved insulin sensitivity.
3. Hormonal adaptation: The body can adjust hormone levels in response to changes in the environment or internal conditions. For instance, during prolonged fasting, the body releases stress hormones like cortisol and adrenaline to help maintain energy levels and prevent muscle wasting.
4. Sensory adaptation: Our senses can adapt to different stimuli over time. For example, when we enter a dark room after being in bright sunlight, it takes some time for our eyes to adjust to the new light level. This process is known as dark adaptation.
5. Aging-related adaptations: As we age, various physiological changes occur that help us adapt to the changing environment and maintain homeostasis. These include changes in body composition, immune function, and cognitive abilities.
Biological models, also known as physiological models or organismal models, are simplified representations of biological systems, processes, or mechanisms that are used to understand and explain the underlying principles and relationships. These models can be theoretical (conceptual or mathematical) or physical (such as anatomical models, cell cultures, or animal models). They are widely used in biomedical research to study various phenomena, including disease pathophysiology, drug action, and therapeutic interventions.
Examples of biological models include:
1. Mathematical models: These use mathematical equations and formulas to describe complex biological systems or processes, such as population dynamics, metabolic pathways, or gene regulation networks. They can help predict the behavior of these systems under different conditions and test hypotheses about their underlying mechanisms.
2. Cell cultures: These are collections of cells grown in a controlled environment, typically in a laboratory dish or flask. They can be used to study cellular processes, such as signal transduction, gene expression, or metabolism, and to test the effects of drugs or other treatments on these processes.
3. Animal models: These are living organisms, usually vertebrates like mice, rats, or non-human primates, that are used to study various aspects of human biology and disease. They can provide valuable insights into the pathophysiology of diseases, the mechanisms of drug action, and the safety and efficacy of new therapies.
4. Anatomical models: These are physical representations of biological structures or systems, such as plastic models of organs or tissues, that can be used for educational purposes or to plan surgical procedures. They can also serve as a basis for developing more sophisticated models, such as computer simulations or 3D-printed replicas.
Overall, biological models play a crucial role in advancing our understanding of biology and medicine, helping to identify new targets for therapeutic intervention, develop novel drugs and treatments, and improve human health.
A computer simulation is a process that involves creating a model of a real-world system or phenomenon on a computer and then using that model to run experiments and make predictions about how the system will behave under different conditions. In the medical field, computer simulations are used for a variety of purposes, including:
1. Training and education: Computer simulations can be used to create realistic virtual environments where medical students and professionals can practice their skills and learn new procedures without risk to actual patients. For example, surgeons may use simulation software to practice complex surgical techniques before performing them on real patients.
2. Research and development: Computer simulations can help medical researchers study the behavior of biological systems at a level of detail that would be difficult or impossible to achieve through experimental methods alone. By creating detailed models of cells, tissues, organs, or even entire organisms, researchers can use simulation software to explore how these systems function and how they respond to different stimuli.
3. Drug discovery and development: Computer simulations are an essential tool in modern drug discovery and development. By modeling the behavior of drugs at a molecular level, researchers can predict how they will interact with their targets in the body and identify potential side effects or toxicities. This information can help guide the design of new drugs and reduce the need for expensive and time-consuming clinical trials.
4. Personalized medicine: Computer simulations can be used to create personalized models of individual patients based on their unique genetic, physiological, and environmental characteristics. These models can then be used to predict how a patient will respond to different treatments and identify the most effective therapy for their specific condition.
Overall, computer simulations are a powerful tool in modern medicine, enabling researchers and clinicians to study complex systems and make predictions about how they will behave under a wide range of conditions. By providing insights into the behavior of biological systems at a level of detail that would be difficult or impossible to achieve through experimental methods alone, computer simulations are helping to advance our understanding of human health and disease.
Molecular models are three-dimensional representations of molecular structures that are used in the field of molecular biology and chemistry to visualize and understand the spatial arrangement of atoms and bonds within a molecule. These models can be physical or computer-generated and allow researchers to study the shape, size, and behavior of molecules, which is crucial for understanding their function and interactions with other molecules.
Physical molecular models are often made up of balls (representing atoms) connected by rods or sticks (representing bonds). These models can be constructed manually using materials such as plastic or wooden balls and rods, or they can be created using 3D printing technology.
Computer-generated molecular models, on the other hand, are created using specialized software that allows researchers to visualize and manipulate molecular structures in three dimensions. These models can be used to simulate molecular interactions, predict molecular behavior, and design new drugs or chemicals with specific properties. Overall, molecular models play a critical role in advancing our understanding of molecular structures and their functions.
I must clarify that there is no specific medical definition for "Software Design." Software design is a term used in the field of software engineering and development, which includes the creation of detailed plans, schemas, and models that describe how a software system or application should be constructed and implemented. This process involves various activities such as defining the architecture, components, modules, interfaces, data structures, and algorithms required to build the software system.
However, in the context of medical software or healthcare applications, software design would still refer to the planning and structuring of the software system but with a focus on addressing specific needs and challenges within the medical domain. This might include considerations for data privacy and security, regulatory compliance (such as HIPAA or GDPR), integration with existing health IT systems, user experience (UX) design for healthcare professionals and patients, and evidence-based decision support features.
A questionnaire in the medical context is a standardized, systematic, and structured tool used to gather information from individuals regarding their symptoms, medical history, lifestyle, or other health-related factors. It typically consists of a series of written questions that can be either self-administered or administered by an interviewer. Questionnaires are widely used in various areas of healthcare, including clinical research, epidemiological studies, patient care, and health services evaluation to collect data that can inform diagnosis, treatment planning, and population health management. They provide a consistent and organized method for obtaining information from large groups or individual patients, helping to ensure accurate and comprehensive data collection while minimizing bias and variability in the information gathered.
A User-Computer Interface (also known as Human-Computer Interaction) refers to the point at which a person (user) interacts with a computer system. This can include both hardware and software components, such as keyboards, mice, touchscreens, and graphical user interfaces (GUIs). The design of the user-computer interface is crucial in determining the usability and accessibility of a computer system for the user. A well-designed interface should be intuitive, efficient, and easy to use, minimizing the cognitive load on the user and allowing them to effectively accomplish their tasks.
I'm sorry for any confusion, but "United States" is a geopolitical entity, specifically the name of the country consisting of 50 states, and it is not a medical term or concept. Therefore, I can't provide a medical definition for it. If you have any questions related to health, medicine, or biology, I would be happy to try to help answer those!
A cross-sectional study is a type of observational research design that examines the relationship between variables at one point in time. It provides a snapshot or a "cross-section" of the population at a particular moment, allowing researchers to estimate the prevalence of a disease or condition and identify potential risk factors or associations.
In a cross-sectional study, data is collected from a sample of participants at a single time point, and the variables of interest are measured simultaneously. This design can be used to investigate the association between exposure and outcome, but it cannot establish causality because it does not follow changes over time.
Cross-sectional studies can be conducted using various data collection methods, such as surveys, interviews, or medical examinations. They are often used in epidemiology to estimate the prevalence of a disease or condition in a population and to identify potential risk factors that may contribute to its development. However, because cross-sectional studies only provide a snapshot of the population at one point in time, they cannot account for changes over time or determine whether exposure preceded the outcome.
Therefore, while cross-sectional studies can be useful for generating hypotheses and identifying potential associations between variables, further research using other study designs, such as cohort or case-control studies, is necessary to establish causality and confirm any findings.