Genome-based Healthcare for the Workplace

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Fitgenes presentation on Genome-based Healthcare for the Workplace

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  • WHO Stats - 2020
  • WHO Stats - 2020
  • Major technological advances in the last few decades have increased our knowledge of the role that genetics plays in occupational diseases.”“Combined with knowledge of other factors that contribute to occupational morbidity and mortality, genetic information will play an increasing role in preventing occupational disease.”“Understanding the role of genetic factors and their interaction with environmental/occupational exposures is important in occupational health and could lead to further prevention and control efforts, the identification of novel therapeutic targets and educational strategies for better management of work-related diseases.”
  • The body is just a systemCompliance Risk Management
  • This figure is also from the landmark study by P M Ricker and colleges discussed in the last slideTheir results showed that;“Of the 12 markers measured, high sensitive C-Reactive Protein, hs-CRP, was the strongest univariate predictor of CV events; the risk of events for women in the highest as compared with the lowest quartile for this marker was 4.4.”They also concluded that the greatest risk for Cardiovascular disease (CVD) outcomes was seen for people in the highest quartile for C- Reactive Protein and the total / HDL cholesterol ratio.Therefore the addition of the measurement of CRP to screening based on lipid levels may provide an improved method of identifying women at risk of CV events. PLEASE NOTE HOWEVER; The purpose of include these 2 figures is not to focus on disease states, such as CV events, but merely highlight the fact that inflammation processes via the inflammatory cytokines or proteins, such as IL-6 and CRP have a very significant influence on our health and performance.As you have repeatedly heard, the FitGenes focus is on helping people “maximise their potential for Healthy Living – Healthy Aging”.
  • DNA profiling is enabling personalized medicine. It is imperative that practitioners use the framework of the 12 week program to integrate a targeted and personalised intervention program, based upon the DNA profile, family medical history, personal medical history, symptoms and current lifestyle habits, and ensure the protocol will deliver the patient’s health goals and objectives.The treatment plan clearly identifies objectives and process for both the practitioner and the patient.
  • Genome-based Healthcare for the Workplace

    1. 1. Improving Health, Performance and Productivity Personalised Genome-based Healthcare in the Workplace Dr Paul Beaver - Director (Science), Co-founder
    2. 2. The Current Health Crisis There are 3 trends that significantly influence workplace health and performance. Influencing Workplace Health and Performance
    3. 3. Recent Australian Government data shows 1 1) Life Expectancy: Increasing but Health Expectancy decreasing. Men - last 18.6 years and women - last 20.7 years with disabilities. 2) Obesity Epidemic: Australians overweight or obese 68% of men (over 7.3 million ) & 55% of women (over 6.0 million) 3) Ageing Population: Baby Boomers By 2020 approximately 20% of Australians will be over 65 years old 1 References available on request The Current Health Crisis Influencing Workplace Health and Performance
    4. 4. 1. Stress 2. Exercise- lack of 3. Food- quantity & quality 4. Smoking 5. Alcohol / drugs 6. Environmental factors- air, water NOW the most important factor is: 7. Interaction of our genes with our lifestyle choices Factors Contributing to Current Health Crisis
    5. 5. Importance of Gene and Environment/Lifestyle Interactions The recent Federal Government report released in May 2009, titled “Weighing it up – Obesity in Australia”, stated that: 1.Environmental and Lifestyle Factors contribute about 30% to an individual‟s body weight, and; 2. Genetics contributes the other 70% (Similarly, research indicates the ratio for Heart Health is approx. 50 % and 50%.)
    6. 6. Personalised Genome-based Healthcare
    7. 7. Genetics in the Workplace* Major technological advances in the last few decades have increased our knowledge of the role that genetics plays in occupational diseases Combined with knowledge of other factors that contribute to occupational morbidity and mortality, genetic information will play an increasing role in preventing occupational disease. Understanding the role of genetic factors and their interaction with environmental/occupational exposures is important in occupational health and could lead to further prevention and control efforts, the identification of novel therapeutic targets and educational strategies for better management of work-related diseases. *Recent On-line article from the Centers for Disease Control and Prevention -National Institute for Occupational Health and Safety ,USA, http://www.cdc.gov/niosh/topics/genetics/ ,
    8. 8. Genetics in the Workplace “In summary, the use of genetic information in the workplace has the potential to affect every worker in the United States.” *Genetics in the Workplace - Implications for Occupational Safety and Health, DEPARTMENT OF HEALTH AND HUMAN SERVICES, Centers for Disease Control and Prevention National Institute for Occupational Safety and Health, NIOSH, 2010
    9. 9. Nutrigenetics and Nutrigenomics Nutrigenetics Nutrigenomics
    10. 10. Nutrigenomics – What is it? Studies the interaction between our genes, diet and lifestyle choices. It‟s true you can’t change your genes, HOWEVER, you can compensate for their influence by making the right nutritional, exercise and lifestyle choices. Nutrigenomics+ =
    11. 11. The Fitgenes „Multi-disciplinary‟ Convergence Approach Exercise & Movement Behavioural & Lifestyle Choices Genetic Factors Nutrition
    12. 12. CA Support Announced: “Healthy Solutions Win Backing” On 29 June 2012, Commercialisation Australia (CA) announced another $9 million in funding to support 24 new participants and extend additional funds to two existing participants on the program.
    13. 13. Commercialisation Australia
    14. 14. Where to From Here?
    15. 15. Our Vision To help people maximise their potential for Healthy Living – Healthy Ageing©
    16. 16. > Disease > Symptoms Birth Death Personalised, Strategic and Targeted Interventions > Improve health expectancy and live disease free. > Maximise health potential:  Genetic predispositions  Nutrition  Exercise  Lifestyle Choices  Stress Management HealthExpectancy LifeExpectancy Goal: Avoid Poor Health:
    17. 17. But how?
    18. 18. The Fitgenes Philosophy Tr Genotype & Cell Function Gene Expression Maximise your Potential for Healthy Living - Healthy Ageing 5) Optimise metabolism 7) Burn fat 1)Reduce Inflammation 6) Remove toxins (detox) 3) Improve circulation 4) Healthy nutrition 2) Redox Balance Cell Health
    19. 19. Why Inflammation is the #1 Focus
    20. 20. 15 Risk Factors for Heart Health 1. Genetic factors 2. Diabetes 3. Smoking 4. Hypertension 5. Lack of exercise 6. Depression/Lack of optimistic thinking 7. Obesity 8. Stress 9. Elevated cholesterol, triglycerides 10.Elevated Homocysteine 11.Lack of faith 12.Inadequate intake of fruits and vegetables 13.C-Reactive Protein 14.Hypothyroid 15.Inadequate Omega-3
    21. 21. 15 Risk Factors for Heart Health 1. Genetic factors ↑CRP 2. Diabetes ↑CRP 3. Smoking ↑CRP 4. Hypertension ↑CRP 5. Lack of exercise ↑CRP 6. Depression/Lack of optimistic thinking ↑CRP 7. Obesity ↑CRP 8. Stress ↑CRP 9. Elevated cholesterol, triglycerides ↑CRP 10.Elevated Homocysteine ↑CRP 11.Lack of faith ↑CRP 12.Inadequate intake of fruits and vegetables ↑CRP 13.C-Reactive Protein ↑CRP 14.Hypothyroid ↑CRP 15.Inadequate Omega-3 ↑CRP
    22. 22. TNFα IL-6 ↑ CRP Atherogenic Insulin- Resistant “Dysmetabolic Milieu” ↑ Risk of Coronary Syndrome Adipose Tissue CRP = C-reactive protein; IL-6 = interleukin 6; TNFα = tumor necrosis factor alpha Adapted from Després JP. Int J Obes Relat Metab Disord.2003;27:S22-S24, ?
    23. 23. Personal Genetic Profile Health Destiny (Health Potential + Pre-disposition to Risk) Nutrition, Exercise & Lifestyle Assessment Investigate Medical Biomarkers Health Pre-disposition (identify potential for health or risk) Family History Recommend Personalised Gene-matched Nutrition, Exercise and Lifestyle Interventions Fitgenes Health Program - Overview
    24. 24. Fitgenes 12 Week Program Outline Program Item Baseline Data Collection Week 1 Week 4 Week 8 Week 12 Week 16 Next Phase of Treatment DNA Profile Yes Pathology Tests (Panel Options) Yes Retest pathology Initial Questionnaire Yes Review Questionnaire Yes Treatment Plan and Protocol Yes In-clinic anthropometric tests Yes Yes Yes Yes Program Summary Report Yes Clinic Appointment Yes 30 min Yes 60 min Yes 30 min Yes 30 min Yes 30 min Yes 30 min
    25. 25. Weight Loss Case Study: “Jenny” Practitioner - Sharon Palmer
    26. 26. > 6 years ago weighed 140 kgs. > Has had significant weight loss in the past: - Lost 60 kg: regained - Lost 50 kg: regained > Went to GP for weight loss: - Put onto Optifast Shakes: - 3 shakes per day - No food at all for 10 months > GP also put on drugs to increase metabolism and suppress appetite: - Use for 3 months but couldn‟t tolerate. - Caused anxiety and panic attacks. - Had also used T3, but also stopped this as didn‟t like the effect. Jenny‟s Weight Loss History
    27. 27. Jenny‟s Rebound Weight Gain > When stopped the Optifast shakes went back to being careful with diet. > Regained 5 kgs per week, and ended back at starting weight. > Was so unhappy she „wanted to die‟. – GP recommended a gastric bypass but Jenny didn‟t want this. – Decided to have a gastric sleeve. Done Feb 2007. – Initially lost a lot of weight. – Weight loss has now stopped and Jenny is beginning to gain weight again. – She is afraid she will gain all her weight back again.
    28. 28. Jenny DNA Fat Metabolism
    29. 29. Jenny‟s Data Follow up Follow up Date 14/9/11 16/1/12 8/3/12 Patient Actual Age Biological Age 48 61.54 H 48 51.63 H 48 46.73 Lost 14.81 yrs First time younger than actual age Weight kg 85 kg 72 kg -13 kg total Never been this weight 73.5 kg Fat Mass: Difference from ideal 35.14 kg +15.43 24.93 kg +2.23 kg Total loss -10.21kg 23.85 -1.08 Total loss -11.29kg Muscle Mass: Difference from ideal 21.78 kg -4.97 kg 21.38 kg -0.04 kg Total loss -0.40kg 23.85 +2.47 Total gain +2.07 IntraCellular Fluid % (Aim 50-60%) 42.02 L 45.72 L 48.23L ExtraCellular Fluid % (Aim 40-50%) 57.98 H 54.28 H 51.77 H Cellular Fluid Balance: (Ideal -20 to 0) 36.30 H 26.27 H Best reading 17.06 Best reading Waist (cm) Aim F <80 M <94 95 74 Total loss of 21 cm 72 Total loss of 23 cm Inflammation decreasing Inflammation decreasing
    30. 30. . “Doing my Fitgenes DNA profile has helped me gain information that has helped me on a number of levels.” Jenny B. 2012 Firstly, I felt better about my previous struggles, knowing there was an underlying genetic reason for my obesity and yo-yo weight gains. I felt better about the fact that it had a root cause. I suppose I could have felt powerless to do much about it but instead it energised me to fight against it. …..
    31. 31. Testimonial February 2012 › Doing my Fitgenes DNA profile has helped me gain information that has helped me on a number of levels. › Firstly, I felt better about my previous struggles, knowing there was an underlying genetic reason for my obesity and yoyo weight gains. I felt better about the fact that it had a root cause. I suppose I could have felt powerless to do much about it but instead it energised me to fight against it. I am actually proud of myself for losing weight. My genetic profile would indicate this is very difficult for me, and I am prone to rebound weight gain. › It also encourages me to fight harder to not allow myself to regain. I don‟t think I can get away with things anymore. Also, there was always a point in the past when I assumed I could eat normally. Now I have much more information and it enables me to talk straight to myself. › In food terms it has changed my whole way of eating. I found that I cannot tolerate a high intake of saturated fats and my body is designed to store these. As a result, I do not generally eat meat or animal fats like hard cheese. I love cheese and wine, I just don‟t eat the cheese any more. (I am still working on the wine). It makes it much easier to maintain my weight loss. There are times when I do eat them but very rarely. The point is I can now make an informed choice. › Overall, I would say that this is the best decision I have made as it has given me information that has helped me make sense of my struggles and gives me tools to make decisions for the future. I just can‟t kid myself anymore as I know the truth!!!
    32. 32. Case Studies – High Blood Pressure Client: A B C D Age (years) 50 34 50 54 Gender Male Male Male Male FT Program Start Date 24/02/2012 5/11/2011 23/11/2011 16/04/2010 FT Program Week # 1 5 1 9 1 12 1 6 Blood Pressure (BP) 155/99 1 130/85 130/80 2 120/65 183/84 3 117/77 190/110 140/80 Weight (Wt) Kg 106 101 124 108 - 4 - 82 76 Change in Wt 5 14 6 Waist Circumf. (WC) cm 119 114 111 98 - - - - 5 13 Notes: 1. BP had been at 172/119 before starting the program 2. BP had been at 158/100 before starting the program 3. BP had been at 213/110 before starting the program 4 Weight Management was not a health goal for this client as his % body fat was in the superfit range
    33. 33. Pracware
    34. 34. In Conclusion… Personalised, genome-based healthcare has an important role to play in improving workplace: > Health > Performance > Productivity

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