This document summarizes Michael McCorry's PhD research on interventions to reduce sedentary behavior in older adults. It outlines the objectives to systematically review literature on physical activity and behavioral interventions targeting sedentary time in older populations. A search of various databases retrieved over 19,000 records, which were screened according to PRISMA guidelines. 10 studies met the inclusion criteria and were reviewed in detail, finding mostly low quality evidence and small effect sizes of interventions. The conclusions call for improved measurement of sedentary behavior and more developed interventions in early-stage research.
This presentation attached are of ownership of Justin Brooks and the Exercise and Sports Science Program of the University of Memphis. It discusses how exercise with focus on visual- reactive stimuli can be highly beneficial when training the geriatric population. Research gathered showed large increases in confidence, as well as slight increases in muscle strength, balance, agility, and a drop in reaction time. For more information associated with this presentation, please feel free to contact me at my email or phone which can be found upon my profile.
Effects of Wii versus traditional supervised exercise on the functional fitne...spastudent
Effects of Wii versus traditional supervised exercise on the functional fitness of moderately frail Chinese population- A Pilot Study
Nanyang Polytechnic
Physiotherapy
Physical Fitness for Elderly of a University Project Participants, Practition...CrimsonPublishersGGS
Physical Fitness for Elderly of a University Project Participants, Practitioners of Weight and Welcoming House Residents by Lidiane Requia Alli Feldmann in Geriatrics Studies Journal
An methodological analysis of a physical activity and light rail system in Salt Lake City, Utah. The presentation was given by UNC public health students in Fall 2015 for a methods course.
This presentation attached are of ownership of Justin Brooks and the Exercise and Sports Science Program of the University of Memphis. It discusses how exercise with focus on visual- reactive stimuli can be highly beneficial when training the geriatric population. Research gathered showed large increases in confidence, as well as slight increases in muscle strength, balance, agility, and a drop in reaction time. For more information associated with this presentation, please feel free to contact me at my email or phone which can be found upon my profile.
Effects of Wii versus traditional supervised exercise on the functional fitne...spastudent
Effects of Wii versus traditional supervised exercise on the functional fitness of moderately frail Chinese population- A Pilot Study
Nanyang Polytechnic
Physiotherapy
Physical Fitness for Elderly of a University Project Participants, Practition...CrimsonPublishersGGS
Physical Fitness for Elderly of a University Project Participants, Practitioners of Weight and Welcoming House Residents by Lidiane Requia Alli Feldmann in Geriatrics Studies Journal
An methodological analysis of a physical activity and light rail system in Salt Lake City, Utah. The presentation was given by UNC public health students in Fall 2015 for a methods course.
10 ExemplarsExemplar I NR503 Population Health, Epidemiology & .docxherminaprocter
10 Exemplars
Exemplar I: NR503 Population Health, Epidemiology & Statistical Principles Week 3
The prevalence of underweight, overweight and obesity in children and adolescents from Ukraine
The main objective of this study was to determine the prevalence of obesity, overweight and underweight in Ukrainian children. The study took the format of a cross-sectional design where a representative sample of 13,739 was taken for the children. Measures taken from the children included body weight and height and the Body Mass Index (BMI) obtained from these. Results were interpreted based on standards of the US Center for Disease Control (CDC) International Obesity Taskforce (IOTF) and the World Health Organization (WHO).Results indicated that 12.1% of children are underweight, 17.6% overweight and 12.6% obese among children aged 12 to 18 years. More of the young populations are obese than the old in the country. The prevalence of overweight and obesity among Ukrainian children is higher than the average for Europe that stands at 30%. However, compared to the US, 18.5% obesity in children, Ukraine children are less obese. Included in the article are measures that would help reduce the prevalence of overweight at a national level (Dereń et al., 2018).
This article is relatively relevant to an average reader in the US. While it does not indicate the impact of the high rate of overweight and obesity, it shows that the US leads the world in cases of obesity and overweight. It has the capacity to influence group decision making more than individual based decisions. The article left out the most relevant information such as factors that have contributed to the high rate of overweight and obesity among children in Ukraine. Another important information that would have been included in the article are measures to control the overweight epidemic at an individual level (Dietz et al., 2015). Another important information would be methods to determine one’s weight status to determine if they are safe or not.
References
Dereń, K., Nyankovskyy, S., Nyankovska, O., Łuszczki, E., Wyszyńska, J., Sobolewski, M., & Mazur, A. (2018). The prevalence of underweight, overweight and obesity in children and adolescents from Ukraine. Scientific reports, 8(1), 3625.https://www.nature.com/articles/s41598-018-21773-4 (Links to an external site.)
Dietz, W. H., Baur, L. A., Hall, K., Puhl, R. M., Taveras, E. M., Uauy, R., & Kopelman, P. (2015). Management of obesity: improvement of health-care training and systems for prevention and care. The Lancet, 385(9986), 2521-2533.https://www.sciencedirect.com/science/article/pii/S0140673614617487
Chamberlain Program Outcomes
· PO #1: Provide high quality, safe, patient-centered care grounded in holistic health principles (Holistic Health & Patient-Centered Care)
AACN MSN Essentials
· Essential I: Background for Practice from Sciences and Humanities
NONPF Core Competencies
· Scientific Foundation Competencies
· Technology and Information L.
10 ExemplarsExemplar I NR503 Population Health, Epidemiology & .docxRAJU852744
10 Exemplars
Exemplar I: NR503 Population Health, Epidemiology & Statistical Principles Week 3
The prevalence of underweight, overweight and obesity in children and adolescents from Ukraine
The main objective of this study was to determine the prevalence of obesity, overweight and underweight in Ukrainian children. The study took the format of a cross-sectional design where a representative sample of 13,739 was taken for the children. Measures taken from the children included body weight and height and the Body Mass Index (BMI) obtained from these. Results were interpreted based on standards of the US Center for Disease Control (CDC) International Obesity Taskforce (IOTF) and the World Health Organization (WHO).Results indicated that 12.1% of children are underweight, 17.6% overweight and 12.6% obese among children aged 12 to 18 years. More of the young populations are obese than the old in the country. The prevalence of overweight and obesity among Ukrainian children is higher than the average for Europe that stands at 30%. However, compared to the US, 18.5% obesity in children, Ukraine children are less obese. Included in the article are measures that would help reduce the prevalence of overweight at a national level (Dereń et al., 2018).
This article is relatively relevant to an average reader in the US. While it does not indicate the impact of the high rate of overweight and obesity, it shows that the US leads the world in cases of obesity and overweight. It has the capacity to influence group decision making more than individual based decisions. The article left out the most relevant information such as factors that have contributed to the high rate of overweight and obesity among children in Ukraine. Another important information that would have been included in the article are measures to control the overweight epidemic at an individual level (Dietz et al., 2015). Another important information would be methods to determine one’s weight status to determine if they are safe or not.
References
Dereń, K., Nyankovskyy, S., Nyankovska, O., Łuszczki, E., Wyszyńska, J., Sobolewski, M., & Mazur, A. (2018). The prevalence of underweight, overweight and obesity in children and adolescents from Ukraine. Scientific reports, 8(1), 3625.https://www.nature.com/articles/s41598-018-21773-4 (Links to an external site.)
Dietz, W. H., Baur, L. A., Hall, K., Puhl, R. M., Taveras, E. M., Uauy, R., & Kopelman, P. (2015). Management of obesity: improvement of health-care training and systems for prevention and care. The Lancet, 385(9986), 2521-2533.https://www.sciencedirect.com/science/article/pii/S0140673614617487
Chamberlain Program Outcomes
· PO #1: Provide high quality, safe, patient-centered care grounded in holistic health principles (Holistic Health & Patient-Centered Care)
AACN MSN Essentials
· Essential I: Background for Practice from Sciences and Humanities
NONPF Core Competencies
· Scientific Foundation Competencies
· Technology and Information L.
Evidence-Informed Public Health Decisions Made Easier: Take it one Step at a ...Health Evidence™
An afternoon workshop - held in partnership with the National Collaborating Centre for Methods and Tools - at the Ontario Public Health Convention April 7, 2011
HXR 2016: FAST TRACK: Prove It: The role of Evidence and Insights in Health I...HxRefactored
Health intervention design is a comprehensive process that is aiming to solve multifactorial problems. How to identify these factors and approach them? How to decide who will be the best target audience for the intervention? Where would these evidence and insights come from? During this session you will learn what are the must-haves of a health intervention, what are the most common pitfalls that can ruin your intervention and how you can enhance your health intervention design using insights from research.
Using programme theory for evaluation of complex health interventions at dist...Prashanth N S
In this presentation, we explain the process through which a realist evaluation could be conducted on complex interventions through the building and refining of programme theories of these interventions.
Samantha Harden discuss provides an overview of the RE_AIM framework which evaluates the effectiveness of interventions based on the following five dimensions:
Reach into the target population
Effectiveness or efficacy
Adoption by target settings, institutions and staff
Implementation - consistency and cost of delivery of intervention
Maintenance of intervention effects in individuals and settings over time.
We will also practice using RE-AIM in planning, implementation, and evaluation and share resources available on RE-AIM.org.
Learning Objectives
1. Understand the five RE-AIM dimensions
2. Practice using RE-AIM for planning, implementation, and evaluation
3. Explore available resources found at RE-AIM.org
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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.
Anti ulcer drugs and their Advance pharmacology ||
Anti-ulcer drugs are medications used to prevent and treat ulcers in the stomach and upper part of the small intestine (duodenal ulcers). These ulcers are often caused by an imbalance between stomach acid and the mucosal lining, which protects the stomach lining.
||Scope: Overview of various classes of anti-ulcer drugs, their mechanisms of action, indications, side effects, and clinical considerations.
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.
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.
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Ve...kevinkariuki227
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
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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.
Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
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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
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Michael Mc Corry
1. The Effectiveness of Physical Activity and
Sedentary Behaviour Interventions in Altering
Sedentary Behaviour in Older Adults
PhD Student: Mr Michael McCorry
Supervisor: Professor Marie Murphy
Advisors: Dr Chris Bleakley
Dr Jacqueline Mair
2. The Road To Dependence in Ageing
Physical activity Sedentary behaviours
Supported living
Activities of daily living
Functional capacity
Frailty
Physical disability
Physical impairment
Independent living
Falls
Dependent/institutional living
3. an individual can accumulate large amounts of
moderate-vigorous physical activity in addition to
long periods of sedentary behaviour in the course of a
day, and effectively be classified as physically active
but sedentary at the same time (SBRN, 2012).
Sedentary Behaviour
4. Studies since 2012 investigating sedentarism as an independently
modifiable set of behaviours (Kriska et al., 2012; De Cocker et al., 2008).
PA and behavioural change interventions have achieved some
success in changing sedentary behaviours (Tremblay et al., 2017).
No systematic reviews to examine the effectiveness of intervention
studies that seek to modify sedentary behaviour among the elderly.
The review will help to inform a future intervention study.
Rationale
5. Objectives
Develop a protocol that outlines sources of information,
search protocol and inclusion/ exclusion criteria.
Identify relevant articles and produce flow diagram in
accordance with PRISMA guidelines (Moher et al., 2010).
Extract relevant data and employ a quality assessment tool
to appraise the data.
6. Databases used were CINAHL Plus, EMBASE, Proquest (ASSIA), Medline (ovid),
and the SBRN database to end May 2017.
Search keywords and terms:
Main search terms used were the following:
Sedentary Physical Activity Older Adult
Sedentary (keyword) Motor activity (MeSH) Old (keyword)
Sedentary Lifestyle (MeSH) Physical activity (keyword) Older (keyword)
Sitting (keyword) Exercise (MeSH) Aged (MeSH)
Inactivity (keyword) ADLs (MeSH) Elderly (keyword)
Screen time (keyword) Postural balance (MeSH) Senior (keyword)
Screentime (keyword)
Computer time (keyword)
Television (MeSH)
Television (keyword)
Search Strategy
7. Records identified through
database searching
(n =19941)
ScreeningIncludedEligibilityIdentification
Additional records identified
through other sources
(n =24)
Records after duplicates removed
(n =19,528)
Records screened
(n =19,528)
Records excluded (n =19,436)
Duplicates extracted, not English
language or Human, population
<60, not relevant
Full-text articles assessed
for eligibility
(n =92)
Full-text articles excluded (n =82)
Reasons: age under 60 yrs, no
mention of SB intervention or
change, sedentary behaviour not
recorded.
Studies included in
qualitative synthesis
(n =10) (Flow diagram. PRISMA, 2009)
8. Studies generally low in methodological quality
Little evidence of agreement on measurement of SB or the most
effective method to target SB
Most interventions used some form of behaviour change
technique albeit with little homogeneity.
Small effect sizes – clinically meaningful?
Results
9. Accurate definition and measurement of sedentary behaviour
remains problematic
SB interventions using older participants are still in the early
stages of development but tend to involve behaviour change.
SB data may have greater utility value when collected both
qualitatively and quantitatively.
Conclusions
10. Berg K., Wood-Dauphinee S., Williams J.I., Maki B (1992) Measuring balance in the elderly:
validation of an instrument. Canadian Journal of Public Health, July/August supplement 2:S7-11.
Bonnefoy, M., Boutitie, F., Mercier, C. (2012) Efficacy of a home-based intervention programme
on the physical activity level and functional ability of older people using domestic services: a
randomised study. Journal of Nutrition, Health & Ageing 2012; 16: 370-377.
Clegg, A., Young, J., ILiffe, S., Rikkert, M.O. and Rockwood, K. (2013) Frailty in Elderly People.
Lancet 381: 752-762.
Hart, T.L., Ainsworth, B.E. and Locke, C. (2011) Objective and Subjective Measures of Sedentary
Behaviour and Physical Activity, Medicine and Science in Sports and Exercise, 43(3):449-456.
Howe, T.E., Rochester, L., Neil, F., Skelton, D.A. and Ballinger, C. Exercise for improving balance
in older people. Cochrane Database System Review 2011 Nov 9(11): CD004963.Review.
Katzmarzyk, PT, Church, T.S., Craig, C.L., Bouchard, C. Sitting time and mortality from all
causes, cardiovascular disease and cancer. Medicine and Science in Sports and Exercise 2009;
41:998-1005.
References
11. Landi, F., Abbatecola, A.M., Provinciali, M., Carsonello, A., Bustacchini, S., Manigrasso, L., Cherubini, A.,
Bernabei, R. and Lattanzio, F. (2010) Moving Against Frailty: does physical activity matter?
Biogerentology 11:537-545.
Moher D , Liberati A , Tetzlaff J , Altman DG . 2010. Preferred reporting items for systematic reviews
and meta-analyses: the PRISMA statement . Int J Surg. 2010 ; 8 ( 5 ): 336 – 341 .
Rikli R.E. and Jones C.J. (1999) The development and validation of a functional fitness test for
community-residing older adults. Journal of Aging and Physical Activity, 7: 129–161.
Sedentary Behaviour Research Network. Letter to the editor: standardised use of the terms
“sedentary” and “sedentary behaviours”. Applied Physiology, Nutrition and Metabolism, 2012;
37(3):540-542.
Stalenhoef P.A., Diederiks J.P., Knottnerus J.A., Kester A.D. and Crebolder HF. (2002) A risk model for
the prediction of recurrent falls in community dwelling elderly: a prospective cohort study. Journal of
Clinical Epidemilogy, 55(11):1088-1094.
Tremblay, M., Aubert, S., Barnes, J.D., Saunders, T., Carson, V., Latimer-Cheung, A.E., Chastin, S.,
Altenburg, T.M., Chinapaw, M.J.M. (2017) Sedentary Behaviour Research Network (SBRN) –
Terminology Consensus Project process and outcome, International Journal of Behavioural Nutrition
and Physical Activity, 14:75.
World Health Organisation (2008) Global Report on Falls Prevention in Older Age. World Health
Organisation: Centre of Human Development, Kobe.
References (cont.)
12. I’m happy to take any questions you may
have
Thank you for listening