This lecture looks specifically at measures of disease frequency: morbidity and mortality. You will see how morbidity data can be used, how routinely collected mortality data can begin to throw light on very important issues that might determine health. You will review the sources of important, routinely collected population data in Malaysia: demographic data (e.g., population census) and health event data (e.g., mortality, hospital and general practice data).
Measurements of morbidity and mortality
At the end of the session, the students shall be able to
List the basic measurements in epidemiology
Select an appropriate tools of measurement
Measure morbidity & mortality
Perform standardization of rates
Unit: 6 Demographic Rates and Ratios vital statistics SMVDCoN ,J&K
Rate measures the occurrence of some particular event in a population during a given period of time. It indicates the change in some event that take place in a population over a period of time like death rate or birth rate.A ratio is a relationship between two numbers indicating how many times the first number contains the second.
Measurements of morbidity and mortality
At the end of the session, the students shall be able to
List the basic measurements in epidemiology
Select an appropriate tools of measurement
Measure morbidity & mortality
Perform standardization of rates
Unit: 6 Demographic Rates and Ratios vital statistics SMVDCoN ,J&K
Rate measures the occurrence of some particular event in a population during a given period of time. It indicates the change in some event that take place in a population over a period of time like death rate or birth rate.A ratio is a relationship between two numbers indicating how many times the first number contains the second.
Standardization of rates by Dr. Basil TumainiBasil Tumaini
Standardization of rates by Dr. Basil Tumaini, presented during the residency at Muhimbili University of Health and Allied Sciences, Epidemiology class
An overview of a key statistical technique in epidemiology – standardization - is introduced. The process and application of both direct and indirect standardization in improving the validity of comparisons between populations are described.
Standardization of rates by Dr. Basil TumainiBasil Tumaini
Standardization of rates by Dr. Basil Tumaini, presented during the residency at Muhimbili University of Health and Allied Sciences, Epidemiology class
An overview of a key statistical technique in epidemiology – standardization - is introduced. The process and application of both direct and indirect standardization in improving the validity of comparisons between populations are described.
Chapter 3Measures of Morbidity and Mortality Used in EpidemiolEstelaJeffery653
Chapter 3
Measures of Morbidity and Mortality Used in Epidemiology
Learning Objectives
Define and distinguish among ratios, proportions, and rates
Explain the term population at risk
Identify and calculate commonly used rates for morbidity, mortality, and natality
State the meanings and applications of incidence rates and prevalence
Learning Objectives (cont’d)
Discuss limitations of crude rates and alternative measures for crude rates
Apply direct and indirect methods to adjust rates
List situations where direct and indirect adjustment should be used
Overview of Epidemiologic Measures
Count
The simplest and most frequently performed quantitative measure in epidemiology.
Refers to the number of cases of a disease or other health phenomenon being studied.
Examples of Counts
Cases of influenza reported in Westchester County, New York, during January of a particular year.
Traffic fatalities in Manhattan in a 24-hour time period
College dorm students who had mono
Foreign-born stomach cancer patients
Ratio
The value obtained by dividing one quantity by another.
Consists of a numerator and a denominator.
The most general form has no specified relationship between numerator and denominator.
Rates, proportions, and percentages are also ratios.
Example of a
Simple Sex Ratio Calculation
A ratio may be expressed at = X/Y
Simple sex ratio (data from textbook)
Of 1,000 motorcycle fatalities, 950 victims are men and 50 are women.
Number of male cases 950
Number of female cases 50
19:1 male to female
=
=
Example of a
Demographic Sex Ratio Calculation
This ratio refers to the number of males per 100 females. In the U.S., the sex ratio in 2010 for the entire population was 96.7, indicating more females than males.
Number of male cases 151,781,326
Number of female cases 156,964,212
96.7
X 100 =
=
X 100
Example of a
Sex Ratio at Birth Calculation
The sex ratio at birth is defined as: (the number of male births divided by the number of female births) multiplied by 1,000.
Number of male births
Number of female births
X 1,000
Definition of Proportion
A measure that states a count relative to the size of the group.
A ratio in which the numerator is part of the denominator.
May be expressed as a percentage.
Uses of Proportions
Can demonstrate the magnitude of a problem.
Example: 10 dormitory students develop hepatitis. How important is this problem?
If only 20 students live in the dorm, 50% are ill.
If 500 students live in the dorm, 2% are ill.
Example of a Proportion
Calculate the proportion of African-American male deaths among African-American and white boys aged 5 to 14 years.
Rate
Definition: a ratio that consists of a numerator and a denominator and in which time forms part of the denominator.
Contains the following elements:
disease frequency
unit size of population
time period during which an event occurs
Crude death rate =
Number of deaths in a given y ...
2. Measurements of Morbidity and Mortality.pptxFerhanKadir
The most ambitious definition of health is that proposed by WHO in 1948: “health is a state of complete physical, mental, and social well-being and not merely the absence of disease or infirmity.” but,
Practical definitions of health and disease are needed in epidemiology, which concentrates on aspects of health that are easily measurable and amenable to improvement.
Definitions of health states used by epidemiologists tend to be simple, for example, “disease present” or “disease absent”
tHESE SLIDES ARE PREPAREED TO UNDERSTAND about DISPOSAL OF WASTE IN EASY WAY Important links- NOTES- https://mynursingstudents.blogspot.com/ youtube channel https://www.youtube.com/c/MYSTUDENTSU... CHANEL PLAYLIST- ANATOMY AND PHYSIOLOGY-https://www.youtube.com/playlist?list=PL93S13oM2gAPM3VTGVUXIeswKJ3XGaD2p COMMUNITY HEALTH NURSING- https://www.youtube.com/playlist?list=PL93S13oM2gAPyslPNdIJoVjiXEDTVEDzs CHILD HEALTH NURSING- https://www.youtube.com/playlist?list=PL93S13oM2gANcslmv0DXg6BWmWN359Gvg FIRST AID- https://www.youtube.com/playlist?list=PL93S13oM2gAMvGqeqH2ZTklzFAZhOrvgP HCM- https://www.youtube.com/playlist?list=PL93S13oM2gAM7mZ1vZhQBHWbdLnLb-cH9 FUNDAMENTALS OF NURSING- https://www.youtube.com/playlist?list=PL93S13oM2gAPFxu78NDLpGPaxEmK1fTao COMMUNICABLE DISEASES- https://www.youtube.com/playlist?list=PL93S13oM2gAOWo4IwNjLU_LCuhRN0ZLeb ENVIRONMENTAL HEALTH- https://www.youtube.com/playlist?list=PL93S13oM2gAPkI6LvfS8Zu1nm6mZi9FK6 MSN- https://www.youtube.com/playlist?list=PL93S13oM2gAOdyoHnDLAoR_o8M6ccqYBm HINDI ONLY- https://www.youtube.com/playlist?list=PL93S13oM2gAN4L-FJ3s_IEXgZCijGUA1A ENGLISH ONLY- https://www.youtube.com/playlist?list=PL93S13oM2gAMYv2a1hFcq4W1nBjTnRkHP facebook profile- https://www.facebook.com/suresh.kr.lrhs/ FACEBOOK PAGE- https://www.facebook.com/My-Student-S... facebook group NURSING NOTES- https://www.facebook.com/groups/24139... FOR MAKING EASY NOTES YOU CAN ALSO VISIT MY BLOG – BLOGGER- https://mynursingstudents.blogspot.com/ Instagram- https://www.instagram.com/mystudentsu... Twitter- https://twitter.com/student_system?s=08 #PEM, #ASHA,#EPIDEMIOLOGY,#ICDS,#nurses,#ASSESSMENT, #APPEARENCE,#PULSE,#GRIMACE,#REFLEX,#RESPIRATION,#RESUSCITATION,#NEWBORN,#BABY,#VIRGINIA, #CHILD, #OXYGEN,#CYANOSIS,#OPTICNERVE, #SARACHNA,#MYSTUDENTSUPPORTSYSTEM, #rashes,#nursingclasses, #communityhealthnursing,#ANM, #GNM, #BSCNURING,#NURSINGSTUDENTS, #WHO,#NURSINGINSTITUTION,#COLLEGEOFNURSING,#nursingofficer,#COMMUNITYHEALTHOFFICE
Frequency measures of health is an important aspect in the planing of the type of services required in a specific population. This is due to the fact that they are able to indicate the type and level of health problems being faced In that population during a specified period of time.
Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
New Directions in Targeted Therapeutic Approaches for Older Adults With Mantl...i3 Health
i3 Health is pleased to make the speaker slides from this activity available for use as a non-accredited self-study or teaching resource.
This slide deck presented by Dr. Kami Maddocks, Professor-Clinical in the Division of Hematology and
Associate Division Director for Ambulatory Operations
The Ohio State University Comprehensive Cancer Center, will provide insight into new directions in targeted therapeutic approaches for older adults with mantle cell lymphoma.
STATEMENT OF NEED
Mantle cell lymphoma (MCL) is a rare, aggressive B-cell non-Hodgkin lymphoma (NHL) accounting for 5% to 7% of all lymphomas. Its prognosis ranges from indolent disease that does not require treatment for years to very aggressive disease, which is associated with poor survival (Silkenstedt et al, 2021). Typically, MCL is diagnosed at advanced stage and in older patients who cannot tolerate intensive therapy (NCCN, 2022). Although recent advances have slightly increased remission rates, recurrence and relapse remain very common, leading to a median overall survival between 3 and 6 years (LLS, 2021). Though there are several effective options, progress is still needed towards establishing an accepted frontline approach for MCL (Castellino et al, 2022). Treatment selection and management of MCL are complicated by the heterogeneity of prognosis, advanced age and comorbidities of patients, and lack of an established standard approach for treatment, making it vital that clinicians be familiar with the latest research and advances in this area. In this activity chaired by Michael Wang, MD, Professor in the Department of Lymphoma & Myeloma at MD Anderson Cancer Center, expert faculty will discuss prognostic factors informing treatment, the promising results of recent trials in new therapeutic approaches, and the implications of treatment resistance in therapeutic selection for MCL.
Target Audience
Hematology/oncology fellows, attending faculty, and other health care professionals involved in the treatment of patients with mantle cell lymphoma (MCL).
Learning Objectives
1.) Identify clinical and biological prognostic factors that can guide treatment decision making for older adults with MCL
2.) Evaluate emerging data on targeted therapeutic approaches for treatment-naive and relapsed/refractory MCL and their applicability to older adults
3.) Assess mechanisms of resistance to targeted therapies for MCL and their implications for treatment selection
Report Back from SGO 2024: What’s the Latest in Cervical Cancer?bkling
Are you curious about what’s new in cervical cancer research or unsure what the findings mean? Join Dr. Emily Ko, a gynecologic oncologist at Penn Medicine, to learn about the latest updates from the Society of Gynecologic Oncology (SGO) 2024 Annual Meeting on Women’s Cancer. Dr. Ko will discuss what the research presented at the conference means for you and answer your questions about the new developments.
Title: Sense of Smell
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...Oleg Kshivets
RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.
Flu Vaccine Alert in Bangalore Karnatakaaddon Scans
As flu season approaches, health officials in Bangalore, Karnataka, are urging residents to get their flu vaccinations. The seasonal flu, while common, can lead to severe health complications, particularly for vulnerable populations such as young children, the elderly, and those with underlying health conditions.
Dr. Vidisha Kumari, a leading epidemiologist in Bangalore, emphasizes the importance of getting vaccinated. "The flu vaccine is our best defense against the influenza virus. It not only protects individuals but also helps prevent the spread of the virus in our communities," he says.
This year, the flu season is expected to coincide with a potential increase in other respiratory illnesses. The Karnataka Health Department has launched an awareness campaign highlighting the significance of flu vaccinations. They have set up multiple vaccination centers across Bangalore, making it convenient for residents to receive their shots.
To encourage widespread vaccination, the government is also collaborating with local schools, workplaces, and community centers to facilitate vaccination drives. Special attention is being given to ensuring that the vaccine is accessible to all, including marginalized communities who may have limited access to healthcare.
Residents are reminded that the flu vaccine is safe and effective. Common side effects are mild and may include soreness at the injection site, mild fever, or muscle aches. These side effects are generally short-lived and far less severe than the flu itself.
Healthcare providers are also stressing the importance of continuing COVID-19 precautions. Wearing masks, practicing good hand hygiene, and maintaining social distancing are still crucial, especially in crowded places.
Protect yourself and your loved ones by getting vaccinated. Together, we can help keep Bangalore healthy and safe this flu season. For more information on vaccination centers and schedules, residents can visit the Karnataka Health Department’s official website or follow their social media pages.
Stay informed, stay safe, and get your flu shot today!
The prostate is an exocrine gland of the male mammalian reproductive system
It is a walnut-sized gland that forms part of the male reproductive system and is located in front of the rectum and just below the urinary bladder
Function is to store and secrete a clear, slightly alkaline fluid that constitutes 10-30% of the volume of the seminal fluid that along with the spermatozoa, constitutes semen
A healthy human prostate measures (4cm-vertical, by 3cm-horizontal, 2cm ant-post ).
It surrounds the urethra just below the urinary bladder. It has anterior, median, posterior and two lateral lobes
It’s work is regulated by androgens which are responsible for male sex characteristics
Generalised disease of the prostate due to hormonal derangement which leads to non malignant enlargement of the gland (increase in the number of epithelial cells and stromal tissue)to cause compression of the urethra leading to symptoms (LUTS
Tom Selleck Health: A Comprehensive Look at the Iconic Actor’s Wellness Journeygreendigital
Tom Selleck, an enduring figure in Hollywood. has captivated audiences for decades with his rugged charm, iconic moustache. and memorable roles in television and film. From his breakout role as Thomas Magnum in Magnum P.I. to his current portrayal of Frank Reagan in Blue Bloods. Selleck's career has spanned over 50 years. But beyond his professional achievements. fans have often been curious about Tom Selleck Health. especially as he has aged in the public eye.
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Introduction
Many have been interested in Tom Selleck health. not only because of his enduring presence on screen but also because of the challenges. and lifestyle choices he has faced and made over the years. This article delves into the various aspects of Tom Selleck health. exploring his fitness regimen, diet, mental health. and the challenges he has encountered as he ages. We'll look at how he maintains his well-being. the health issues he has faced, and his approach to ageing .
Early Life and Career
Childhood and Athletic Beginnings
Tom Selleck was born on January 29, 1945, in Detroit, Michigan, and grew up in Sherman Oaks, California. From an early age, he was involved in sports, particularly basketball. which played a significant role in his physical development. His athletic pursuits continued into college. where he attended the University of Southern California (USC) on a basketball scholarship. This early involvement in sports laid a strong foundation for his physical health and disciplined lifestyle.
Transition to Acting
Selleck's transition from an athlete to an actor came with its physical demands. His first significant role in "Magnum P.I." required him to perform various stunts and maintain a fit appearance. This role, which he played from 1980 to 1988. necessitated a rigorous fitness routine to meet the show's demands. setting the stage for his long-term commitment to health and wellness.
Fitness Regimen
Workout Routine
Tom Selleck health and fitness regimen has evolved. adapting to his changing roles and age. During his "Magnum, P.I." days. Selleck's workouts were intense and focused on building and maintaining muscle mass. His routine included weightlifting, cardiovascular exercises. and specific training for the stunts he performed on the show.
Selleck adjusted his fitness routine as he aged to suit his body's needs. Today, his workouts focus on maintaining flexibility, strength, and cardiovascular health. He incorporates low-impact exercises such as swimming, walking, and light weightlifting. This balanced approach helps him stay fit without putting undue strain on his joints and muscles.
Importance of Flexibility and Mobility
In recent years, Selleck has emphasized the importance of flexibility and mobility in his fitness regimen. Understanding the natural decline in muscle mass and joint flexibility with age. he includes stretching and yoga in his routine. These practices help prevent injuries, improve posture, and maintain mobilit
ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
Couples presenting to the infertility clinic- Do they really have infertility...Sujoy Dasgupta
Dr Sujoy Dasgupta presented the study on "Couples presenting to the infertility clinic- Do they really have infertility? – The unexplored stories of non-consummation" in the 13th Congress of the Asia Pacific Initiative on Reproduction (ASPIRE 2024) at Manila on 24 May, 2024.
These simplified slides by Dr. Sidra Arshad present an overview of the non-respiratory functions of the respiratory tract.
Learning objectives:
1. Enlist the non-respiratory functions of the respiratory tract
2. Briefly explain how these functions are carried out
3. Discuss the significance of dead space
4. Differentiate between minute ventilation and alveolar ventilation
5. Describe the cough and sneeze reflexes
Study Resources:
1. Chapter 39, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 34, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 17, Human Physiology by Lauralee Sherwood, 9th edition
4. Non-respiratory functions of the lungs https://academic.oup.com/bjaed/article/13/3/98/278874
Ethanol (CH3CH2OH), or beverage alcohol, is a two-carbon alcohol
that is rapidly distributed in the body and brain. Ethanol alters many
neurochemical systems and has rewarding and addictive properties. It
is the oldest recreational drug and likely contributes to more morbidity,
mortality, and public health costs than all illicit drugs combined. The
5th edition of the Diagnostic and Statistical Manual of Mental Disorders
(DSM-5) integrates alcohol abuse and alcohol dependence into a single
disorder called alcohol use disorder (AUD), with mild, moderate,
and severe subclassifications (American Psychiatric Association, 2013).
In the DSM-5, all types of substance abuse and dependence have been
combined into a single substance use disorder (SUD) on a continuum
from mild to severe. A diagnosis of AUD requires that at least two of
the 11 DSM-5 behaviors be present within a 12-month period (mild
AUD: 2–3 criteria; moderate AUD: 4–5 criteria; severe AUD: 6–11 criteria).
The four main behavioral effects of AUD are impaired control over
drinking, negative social consequences, risky use, and altered physiological
effects (tolerance, withdrawal). This chapter presents an overview
of the prevalence and harmful consequences of AUD in the U.S.,
the systemic nature of the disease, neurocircuitry and stages of AUD,
comorbidities, fetal alcohol spectrum disorders, genetic risk factors, and
pharmacotherapies for AUD.
1. MORBIDITY & MORTALITY,
HEALTH DATA
Halyna Lugova, MD, PhD
September 25, 2014
1200
1000
800
600
400
200
0
2 9 16 23 30 6 13 20 27 5 12 19 26 2 9 16 23 30 7 14 21 28 4 11 18 25 2 9 16 23 30 6 13 20 27 3 10 17 24 1 8 15 22 29 5 12 19 26 3 10 17 24 31
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
2. Epidemiologic Language
“The prevalence rates of HIV and DM amongst TB patients were
7.7 and 30%, respectively. *…+ Diabetic TB patients had a higher
mortality rate (7.5%) compared to the TB only and DM only groups
(1 and 2%, resp.).”
Suleiman, S. et al. (2012). Role of Diabetes in the
Prognosis and Therapeutic Outcome of Tuberculosis.
International Journal Of Endocrinology, 6 p.
“The average annual incidence rate of DF per 100 000 populations
was higher as compared to that of DHF. Conversely, the yearly
mean mortality rate of DHF per 100 000 populations was greater
than that of DF. *…+ The dengue situation in Malaysia has
worsened with an increasing number of reported cases and deaths
during the last decade.”
Mia, M. et al. (2013). Trends of dengue infections in
Malaysia, 2000-2010. Asian Pacific Journal of Tropical
Medicine, 6(6), 462-466. 2
3. Role of Measurement
“The death rate is a fact; anything
beyond this is an inference.”
― William Farr (1807 – 1883), British
epidemiologist, one of the founders of
medical statistics
“What gets measured gets done.”
― Mason Haire (Author of Modern
Organization Theory)
3
Source: http://www.epimonitor.net/Quotable_Quotes.htm
Images from public domain
4. Ratio, Proportion and Rate
• Ratio: one number divided by another number:
4
x/y
often multiplied by k (100; 1,000; 10,000; 100,000)
Examples: 3 hospitals/60,000 people
= 0.00005 hospitals per person
*k (100,000) = 0.00005 * 100,000 = 5 hospitals per
100,000 people
40 observed cases of DM /20 expected cases of DM
= 2 (no units)
OR = odds ratio
SMR = standardized mortality ratio
5. Ratio, Proportion and Rate
• Proportion: a specific ratio in which the numerator is
a subset of the denominator: x/(x+y)
usually multiplied by k (100; 1,000; 10,000)
x – the number of individuals in the population with characteristic C
x+y – the number of individuals in the same population with and without
characteristic C
Example: proportional mortality
no. of TB deaths / total no. of deaths in 2008 in
Malaysia
= 0.03
*k (100) = 3% or3 per 100; *k = 1,000 = 30 per 1,000
5
6. Ratio, Proportion and Rate
• Rate: basic measure in disease occurrences and
vital statistics:
x*/(x+y)
usually multiplied by k (100; 1,000; 10,000)
x* = the frequency of events during a certain time period
x+y = the number at risk of the event during that time period,
i.e. the sum of follow-up time contributed by the people at risk
of the event
Example: incidence rate
6
7. Ratio, Proportion or Rate?
• The number of students who had dental caries divided by the
number of students who did not have dental caries
Ratio
• The number of students who had dental caries divided by the
number of students who had oral health diseases
Proportion (numerator is a subset of denominator)
• The number of dentists divided by the number of population
Ratio
• The number of students newly diagnosed with dental caries from Jan
2013 till Dec 2013 divided by the number of students who had not
been diagnosed with the disease before Jan 2013
Rate (indicates frequency of event over population at risk during
specific time)
7
8. Measures of Morbidity
Incidence:
Rate of Disease Occurrence in Population
• Measures change from non-disease to disease
• Incidence rate is defined as a number of new cases
in the population at risk which occurred over a given
period of time
Incidence =
Number of new cases
X k
Population at risk
• Population-at-risk: all persons in the population who
have not been diagnosed with the disease of interest
at the beginning of the observation period, but who
are capable of developing the disease 8
9. Measures of Morbidity
Prevalence:
Reflects Already Existing Disease
• Proportion of population which has disease
• Prevalence is defined as a number of existing cases
in a population at a specified time:
• Population: Number of persons present in the
population of interest
9
Prevalence =
Number of cases with the
disease/condition at a specified time
X k
Population at a specified time
10. Relationship between Incidence and Prevalence
10
Source: Eric Notebook (1999) Issue 2: Incidence vs. Prevalence. Available at:
http://cphp.sph.unc.edu/trainingpackages/ERIC/eric_notebook_2.pdf
Incidence is a measure of the flow of water into the tub
Prevalence measures the proportion of the tub (the total
population) filled with water (the prevalent cases)
.
Prevalence = Incidence x Duration (approx.)
11. Difference between Incidence & Prevalence
Characteristic
What is
measured
Time of
disease
diagnosis
Period of
time
Denominator
Incidence
Rapidity of
disease
occurrence
Newly
diagnosed
Period of
study that
allows
monitoring
disease
occurrence
Population
at-risk
Prevalence
Proportion of
population
with disease
Surviving
cases
diagnosed at
any time
Specific
time
Whole
population
11
12. Problems with Morbidity Data
Numerators: difficulties with diagnostics, problems with
data on cases
Denominators: certain groups in the population may be
underrepresented, problems with defining population-at-risk
Hospital Data: selective admissions, missing or incomplete
records, problems of comparability between different
hospitals, absence of defined catchment area (problems
with denominator)
13. Measures of Mortality
Mortality data indicate severity of disease, risk of dying from a
disease, and effectiveness of treatment and prevention
programs.
It is useful in comparison between different populations and in
time. Annual mortality rates are calculated by all causes or by
specific diseases; by age, sex, ethnicity.
Most of the countries’ legislation imposes a requirement of
compulsory registration of all deaths. Therefore, mortality
statistics is usually more available than information on morbidity
If the disease does not ordinarily cause death then mortality
rates are useless
13
14. Case Fatality Rate
Case fatality rate (percent)
푁표.표푓 푖푛푑푖푣푖푑푢푙푎푠 푑푦푖푛푔 푑푢푟푖푛푔 푎
푠푝푒푐푖푓푖푒푑 푝푒푟푖표푑 표푓 푡푖푚푒 푎푓푡푒푟 푑푖푠푒푎푠푒 표푛푠푒푡 표푟 푑푖푎푔푛표푠푖푠
푁표. 표푓 푖푛푑푖푣푖푑푢푎푙푠 푤푖푡푕 푡푕푒 푠푝푒푐푖푓푖푒푑 푑푖푠푒푎푠푒
x 100
• Measure of the severity of a disease
• Measure of the benefits of a disease intervention program, new
treatment
In 2008, population of children under 14 years of age in Malaysia was 8 millions of whom
210,000 were sick with TB
2,000 of 210,000 died from TB.
The mortality rate as a result of TB in 2008 =
ퟐ,ퟎퟎퟎ
ퟖ,ퟎퟎퟎ,ퟎퟎퟎ
= 0.00025, or 0.025% or 0.25 per 1,000
children
The case-fatality rate as a result of TB in 2008 =
ퟐ,ퟎퟎퟎ
ퟐퟏퟎ,ퟎퟎퟎ
= 0.0095, or 0.95% or 9.5 per 1,000
children
14
15. Proportionate Mortality
Proportionate Mortality (percent)
푁표.표푓 푑푒푎푡푕푠 푓푟표푚 푎 푝푎푟푡푖푐푢푙푎푟 푑푖푠푒푎푠푒 푖푛 푎 푦푒푎푟
푇표푡푎푙 푑푒푎푡푕푠 푖푛 푎 푦푒푎푟
x 100
• Proportion of deaths in a population caused by a
particular disease
• Shows trends but not risk or cause
• Useful to compare impact of diseases in a population
15
16. Proportionate Mortality
16
Community A Community B
Mortality rate from
all causes
30/1,000 15/1,000
Proportionate
mortality from
disease X
Mortality rate from
disease X
9/1,000 9/1,000
17. Proportionate Mortality
17
Community A Community B
Mortality rate from
all causes
20/1,000 10/1,000
Proportionate
mortality from
disease X
Mortality rate from
disease X
14/1,000 17/1,000
18. Problems with Mortality Data
• Depends on death certification
• Coding of death certificates including
changes related to changes of ICD.
• Errors in diagnosis, counting population or
percentages of population at risk,
identification of age and other demographic
groups
18
21. Types of Health Data
• Population data: the number of people in a population
and their attributes
• Vital statistics: live births, deaths, and marriages
• Health statistics: morbidity by type, data on notifiable
diseases, impairment, cancer registries
• Health services statistics: number and types of
facilities, nature of services; costs, payment
mechanisms
• Data on social inequalities in health: rates of poverty,
level of education, and occupational conditions
21
22. Population (age) pyramid
This population pyramid is wide at the base, which means
there is a large proportion of young people in the
country. It tapers very quickly as you go up into the older
age groups, and is narrow at the top.
22
This pyramid is
expanding; it shows
that a very small
proportion of
people are elderly.
This shape of
pyramid is typical of
a developing
country
Source: http://www.indexmundi.com
23. Population (age) pyramid
• This shape is typical of a developed country. It is
narrow at the base, wider in the middle, and
stays quite wide until the very top, as there is a
sizable percentage of older people.
23
This pyramid is
contracting,
showing lower
numbers or
percentages of
younger people.
Source: http://www.indexmundi.com
25. Vital and Health Statistics
• Data collection should be fair and complete, therefore
this data is usually collected by governmental agencies
• In Malaysia, there are various agencies that collect
data: the key health data collectors are the
Department of Statistics of Malaysia (DSM) and the
Ministry of Health (MOH)
25
26. Vital and Health Statistics in Malaysia
• DSM gathers data through periodic statements/reports from
government agencies and from the census conducted (Banci
Negara)
• DSM also receives data on births and deaths from the National
Registration Department (JPN)
• Vital Statistics Malaysia, 2012 report presents statistics on
births and deaths for 2011 (final) and 2012 (preliminary) at
state and administrative district levels*.
• The population estimates used in the calculation of these
indicators are based on the Population and Housing Census
2010, which is done every 10 years
*Source: Department of Statistics Malaysia, Official Portal
http://statistics.gov.my/portal/images/stories/files/LatestReleases/vital/Vital_Statistics_Malaysia_
2012.pdf
26
27. Vital and Health Statistics in Malaysia
• MOH collects data through
Hospital admissions / discharge
Clinic attendance and diagnosis
Periodic district health reports
Monthly reports from Vector Borne Disease Control Program
Notifiable Disease Reports
Health Facts (published annually, 2014 ed. available with
data from 2013)
Health Indicators (annually, currently latest is 2013 data)
Source: Official Portal Ministry of Health Malaysia
http://www.moh.gov.my/english.php/pages/view/56
27
28. SUMMARY
• Rates are an important concept, they allow
measurement and comparison of health data
• By exploring patterns and variations in the health
outcomes we can begin to hypothesize about possible
determinants of population health, and this is the
essence of descriptive epidemiology. Descriptive
epidemiology relates to the study of variations in
population health by time and person and place
28
29. SUMMARY
• Incidence rate is the number of new cases which occur
during a specified time period in a defined at risk
population
• Prevalence is a number of cases in a defined
population at a particular point in time, or during a
specified period
• The relationship between incidence and prevalence is
determined by the duration of disease
29
30. SUMMARY
• Proper collection of vital and health statistics is very
important; Dep of Statistics and MoH are key
collectors in Malaysia
• Mortality data is usually more available than
morbidity data, but it depends on death certification
aspects, diagnostics criteria and other factors
30