BASIC analysis of --- Stress/overwork and cardiovascular disease data Sino-Japanese cooperation project ---------by Mile Xiu.

Slides:



Advertisements
Similar presentations
French Nutrition and Health Survey (Etude Nationale Nutrition Santé ENNS 2006 – 2007) French Institute for Public Health Surveillance.
Advertisements

Age (years) Gender (Males), n (%) Dialysis duration (years) Hemoglobin (mg / dl) Pre dialysis SBP (mmHg) Pre dialysis DBP(mmHg) Post dialysis SBP (mmHg)
DO YOU HAVE THE METABOLIC SYNDROME? You're never too young to have it Jacqueline A. Eberstein, R.N.
Definitions Body Mass Index (BMI) describes relative weight for height: weight (kg)/height (m 2 ) Overweight = 25–29.9 BMI Obesity = >30 BMI.
CONTROLLING YOUR RISK FACTORS Taking the Steps to a Healthy Heart.
Associations between Obesity and Depression by Race/Ethnicity and Education among Women: Results from the National Health and Nutrition Examination Survey,
Pathophsiology of Metabolism. Obesity What Is Obesity? Obesity means having too much body fat.
U.S. Dept of Health and Human Services. National High Blood Pressure Education Program. Seventh Report of Joint National Committee on Prevention, Detection,
The Healthy Heart Figure 14.1.
Factors associated with prediabetes in adult children of patients with premature coronary heart disease; the study of families of patients with premature.
Special Diabetes Program for Indians Competitive Grant Program SPECIAL DIABETES PROGRAM FOR INDIANS Competitive Grant Program Clinical Goals for the Healthy.
Healthy Heart Project Dataset Session 1 of 2 July 29, 2009 SPECIAL DIABETES PROGRAM FOR INDIANS Healthy Heart Project: Year 5 Meeting 1.
Coronary Heart Disease Prevalence DR. MOHAMMED O. AL-RUKBAN Assistant Professor Department of Family and Community Medicine College of Medicine, King Saud.
Childe Hassam: “The South Ledges” Early 20 th Century American Impressionist: Note: light And color! (Very European…)
Cholesterol, blood pressure, and heart disease By Melissa Bess Nutrition and Health Education Specialist University of Missouri Extension FNEP STAFF TRAINING.
Ambulatory Blood Pressure Profiles in Adolescents with Type 1 Diabetes Andrew J. Ellis 1,2, B.A.; David M. Maahs 2, M.D. Ph.D.; Franziska K. Bishop 2,
BHS Guidelines for the management of hypertension BHS IV, 2004 and Update of the NICE Hypertension Guideline, 2006 Guidelines for management of hypertension:
Diabetes Research Initiatives in Sharjah, UAE Nabil Sulaiman Diabetes Supercourse, Alexandria 12 Jan.
LIFESTYLE MODIFICATIONS FOR PREVENTING HEART DISEASE [e.g. HEART ATTACKS] [ primary prevention of coronary artery disease ] DR S. SAHAI MD [Med.], DM [Card]
Cholesterol. CHOLESTEROL What is it? How does it cause heart disease? A fat like substance in your blood When there is too much cholesterol in your blood,
Health Screening. Should you go for health screening? Health screening helps to discover if a person is suffering from a particular disease or condition,
How To Be Healthy Without Killing Yourself B Bottenberg, D.O., FNLA, FACOI.
Obesity M.A.Kubtan MD - FRCS M.A.Kubtan1. 2  Pulmonary Disease  Fatty Liver Disease  Orthopedic Disorders  Gallbladder Disease  Psychological Impact.
Nutrition and Cardiovascular Disease. Cardiovascular Disease Includes heart attack, stroke Includes heart attack, stroke Leading cause of death in the.
LESSON 2.8: BODY MASS INDEX Unit 2: Nutrition & Fitness.
Low level of high density lipoprotein cholesterol in children of patients with premature coronary heart disease. Relation to own and parental characteristics.
The effects of initial and subsequent adiposity status on diabetes mellitus Speaker: Qingtao Meng. MD West China hospital, Chendu, China.
SERUM VISFATIN CONCENTRATION IS ASSOCIATED WITH AN ATHEROGENIC METABOLIC PROFILE T.D. Filippatos 1, A. Liontos 1, F. Barkas 1, E. Klouras 1, V. Tsimihodimos.
The National Kidney Foundation’s Kidney Early Evaluation Program TM “The Greater New York Experience” Ellen H. Yoshiuchi, MPS Division Program Director.
Ministry of Health and Population Preventive and Primary Health Care Sector Ministry of Health and Population Preventive and Primary Health Care Sector.
Adi Kartolo University of Ottawa. Initial Presentation 42-year-old African-American male with type 2 diabetes Chief Complaint: increasing body weight.
1. Relation between dietary macronutrient and fiber intake with metabolic syndrome in Tehranian adults: Tehran Lipid and Glucose Study Hosseinpour S,
Blood pressure control in primary health care WORKSHOP
Taipei Medical University. Adolescents with Higher Althernate Healthy Eating Index For Taiwan (AHEI-T) Scores Have Lower Blood Lipid Level De-Zhi Weng,
High level of low density lipoprotein cholesterol in adult children of patients with premature coronary heart disease: relation to own and parental characteristics.
Lipoatrophy and lipohypertrophy are independently associated with hypertension: the effect of lipoatrophy but not lipohypertrophy on hypertension is independent.
Case 15 Andrea De Mesa. Patient history A 44 y/o male, single, undergoes cardiovascular screening on advice of his attending physician. He is a smoker.
HDL LowLess than 40 mg/dL High60 mg/dL and above LDL OptimalLess than 100 mg/dL Near Optimal mg/dL Borderline High mg/dL High mg/dL.
Risk factor profile for chronic non-communicable diseases: Results of a community-based study in Kerala, India K.R. Thankappan, Bela Shah*, Prashant Mathur*,
Lesotho STEPS Survey 2012 Fact Sheet John Nkonyana Director Disease Control.
Identifying Persons in Need of Weight-loss Treatment: Evaluation of Potential Treatment Algorithms Caitlin Mason School of Physical and Health Education.
Title: Nutritional status of North Indian obese young adults Meenakshi Garg University of Delhi, India.
Monitoring Physical Health Stephen R. Marder, M.D. Professor, Semel Institute for Neuroscience and Human Behavior at UCLA Director, VA VISN 22 Mental Illness.
An aortic aneurysm can rupture (dissecting aneurysm) and cause massive blood loss, circulatory shock and rapid death.
1)You have 15 seconds to answer each question 2)Choose which answer you want out of the 4 options, if you get it wrong, go back to the previous question.
Dr. Nadira Mehriban. INTRODUCTION Diabetic retinopathy (DR) is one of the major micro vascular complications of diabetes and most significant cause of.
Lipid profiles in Cardio Vascular Diseases. What is a lipid profile? The lipid profile is a group of tests that are often ordered together to determine.
WENDY WRAY RN BSCN MSCN DIRECTOR MUHC WOMEN'S HEALTHY HEART INITIATIVE FEBRUARY 2016 Heart Disease by the Numbers.
Fast fOod Shops Significantly Impact Cardiovascular Karma - the FOSSICK IV Trial - Reddy M, Luque M, Ferrer Ferrer L, Koju R, Zaman MJ, Inspiron D, Caprnda.
The short term effects of metabolic syndrome and its components on all-cause-cause mortality-the Taipei Elderly Health Examination Cohort Wen-Liang Liu.
© 2012 Wells Fargo Bank, N.A. All rights reserved. Confidential. Population Health Management Strategy Wells Fargo Insurance Services Chesapeake Health.
Presented by Slyter Nutrition Consulting Services.
Metabolic Comorbidities of Young Children
RISK FACTORS – CVD.
Noncommunicable Diseases Surveillance in Egypt
From ESH 2016 | LB 3: Davide Agnoletti, MD
Peak oxygen uptake and prevalence of cardiovascular disease risk factors in breast cancer survivors Lahart1, I.M., Metsios1, G.S., Nevill1, A.M., Kitas1,2,
Prevalence Of Metabolic Syndrome And Assessment Of Nutritional And Biochemical Parameters Of Overweight And Obese Working Women 1Upasana, 2Chakravarty.
by Sarah Steinmetz and Amber Brouillette
Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults Risks and Assessment NHLBI Obesity Education.
Sunjoo Boo, RN, PhD, Erika Sivarajan Froelicher, RN, PhD, FAAN 
Dyslipidemia and the Risk of Developing Hypertension in a Working‐Age Male Population by Toshiaki Otsuka, Hirotaka Takada, Yasuhiro Nishiyama, Eitaro Kodani,
Body Mass Index, Sex, and Cardiovascular Disease Risk Factors Among Hispanic/Latino Adults: Hispanic Community Health Study/Study of Latinos by Robert.
Associations of Diet and Lifestyle with Hyperlipidemia for the Middle-Aged and Elderly in the Guangxi Bai Ku Yao and Han Populations Yin Ruixing, MD: Guangxi.
Heart Healthy Workouts
Sunjoo Boo, RN, PhD, Erika Sivarajan Froelicher, RN, PhD, FAAN 
Fort Atkinson School District Wellness Program
Level of risk factor control in the overall sample and by gender
The complications of obesity according to the values of BMI and waist circumference in an obese population of Tangier Nadia HAMJANE 1, Fatiha BENYAHYA1,2,
Total T2D risk according to join distribution of GGT and ALT
Presentation transcript:

BASIC analysis of --- Stress/overwork and cardiovascular disease data Sino-Japanese cooperation project by Mile Xiu

Background about this project Supported by Japanese ministry of health fund Project implementation: Medicine school of Tongji university, Shanghai China Setting: Shanghai East Hospital and Shanghai Tenth People’s Hospital Physical examination center.

Experimental design We focus on the relationship between work stress and cardiovascular disease. Work stress is assessed by Job demand control scale. Cardiovascular risk factors and the ankle-brachial index(ABI) and Brachial–ankle pulse wave velocity (baPWV) is also collected Participants: 3,000 Chinese people and 100 Japanese people work in Shanghai rolled in our research Inclusion criteria: Cooperate with the investigation;≥18 years old; blood and urine sample left. Exclusion criteria: Do not finish our questionnaire ;<18 years old; blood or urine sample missed

Protocol Blood and urine will be left for experimental test Anthropometric will be finished Baseline, questionnaire and ABI, baPWV will be finished Copy test result of blood and urine

W WORK HOURS DECISION LATITUDE SOCIAL SUPPORT JOB DEMAND JOB STRENGTH SPYSPY waist SYSY SBP PP HR LDL HDL U UA HbA1c P PWV Albumin Us smoking Working condition Cardiovascular risk Organ damage e1e1 e15e15 e16e16 e2e2 e3e3 e4e4 e5e5 e6e6 e7e7 e8e8 e9e9 e 10 e 11 e 12 e 13 e 14

Baseline Basic information: Name, gender, birthday, occupational type,educational level, marital status, address, phone number. Anthropometric: height; body weight, abdominal circumference, blood pressure, heart rate. Family history: focus on cardiovascular-related family history Personal history: smoke(no/post/yes), alcohol intake(yes/no), Fatty liver(mild/moderate or heavier/no), exercise situation Drug therapy: Antihypertensive drug, Antidiabetic drugs Antilipemic drugs, Aspirin.

Blood and urine laboratory Total cholesterol(TC); Triglyceride(TG); High-density lipoprotein cholesterol (HDL-C); Low-density lipoprotein cholesterol (LDL-C) Fasting blood; Glycosylated Hemoglobin A_(1C)(HbA1c%). Alanine aminotransferase (ALT);Aspartate aminotransferase (AST);r-GTP Uric acid, Urea nitrogen, Total protein, Albumin, Urinary protein Vascular screening: ABI and baPWV

Work stress scale Work time per week( 55);sleep time and clock in weekday; walk time everyday (none; in 1 hour;1- 2 hours; >hours); diet type(Never eating too much from youth; can't eat too full due to the health concerns; Eating too much or eating too little; Eating full) Desicion latitude: The higher the score the greater the power Social support: The higher the score the lower the support Job demand: The higher the score the lower the required degree. Job strength: The higher the score the lower the work strength.

Traditional CVD risk factors Blood pressure ≥ 140/90 mm Hg and/or hypertension history Diabetes mellitus fasting glucose ≥ 7.0 mmol/L and/or diabetes mellitus history (HbA1c ≥6.5%??) Hyperlipidemia total cholesterol ≥ 5.72 mmol/L, and/or total triglyceride ≥1.7 mmol/L, and/or low-density lipoprotein ≥ 3.64 mmol/L, and/or Hyperlipidemia history. Body mass index (BMI) normal(≤24), overweight (>24 and <28), and obesity (≥28) Smoke Alchol intake

Data analysis Soft ware : SPSS version17.0 chi-square test or t test Logistic regression

Description by gender CharacteristicAll 2504 Mean SD Male 1582 Mean SD Female 922 Mean SD P value Gender (63.2)922(36.8)<0.001 Age (11.4)43.7(16.2)0.005 Education Lower than senior high school;259(10.5) Senior high school;599(24.2) Bachelor1455(58.9) Master OR higher158(6.4)10157 Marital status Unmarried16974(4.7%)95(10.5%) <0.001 Married (94.7%)793(87.7%) Divorced84(0.3%)4(0.4%) Widowed175(0.3%)12(1.3%) Height167.4(7.98)171.4(6.4)160(5.3)<0.001 Body weight67.7(16.5)72.7(10.6)59.1(20.7)<0.001 BMI24.08(5.96)24.77(4.25)22.89(7.97)<0.001 Abdominal circumference85.02(11.16)88.8(8.96)77.38(11.28)<0.001 SBP126.1(17.6)129.2(16.3)120.9(18.6)<0.001 DBP78.0(11.7)80.0(11.0)73.3(11.2)<0.001 PP48.2(11.2)48.4(10.6)47.7(12.0)0.127 Heart rate73.7(10.9)73.3(10.7)74.2(11.2)0.063 Smoke history Non-smoker1638(65.7%)740(47%)898(97.9%) <0.001 Post-smoker126(5.1%)123(7.8%)3(0.3%) Smoker729(29.2%)713(45.2)16(1.7) History of alcohol intake Non-drinker1682(67.5%)805(51.1%)877(95.8%) <0.001 Post-drinker58(2.3%)57(3.6%)1(0.1%) Drinker751(30.1%)714(45.3%)37(4.0%) Adiposis hepatica situation none1612(64.8%)863(53.5%)749(81.4%) <0.001 mild665(26.7%)541(34.5%)124(13.5%) Moderate or heavier212(8.5%)165(10.5%)47(5.1%) Active physical activity no1552(62.6%)878(56.1%)674(73.7%) <0.001 yes928(37.4%)687(43.9%)241(26.3%) baPWV1357(255.7)1399.5(235.4)1284.1(272.1) <0.001 ABI1.06(0.085)1.07(0.85)1.04(0.83) <0.001

Description by stress score CharacteristicLow score ≤104 Frequency/Percentage High score >105 Frequency/Percentage P value Gender Male <0.001 Female Education Lower than high school; (wilcoxon) Senior high school; Bachelor Master OR higher6393 Marital status Unmarried Married Divorced34 Widowed15 Smoker history Non-smoker768(69.4%)706(60.9%) <0.001 Post-smoker123(3.5%)56(4.8%) Smoker713(27.1%)397(34.3%) History of alcohol intake Non-drinker809(73.1%)700(60.5%) <0.001 Post-drinker23(2.1%)25(2.2%) Drinker275(24.8%)432(37.3%) Adiposis hepatica situation None736(66.5%)727(63.1%) Mild303(27.4%)307(26.6%) Moderate or heavier68(6.1%)118(10.2%) Exercise situation No685(62%)716(62.2%) Yes419(38%)436(37.8%) Antihypertensive drug situation No926(83.5%)993(85.7%) Yes183(16.5%)166(14.3%) Antidiabetic Drugs situation No1080(97.8%)1130(97.7%) Yes24(2.2%)27(2.3%) Antilipemic situation No1096(99.2%)1146(99%) Yes9(0.8)11(1%) Aspirin situation No1083(98.1%)1134(97.9%) Yes21(1.9%)24(2.1%)

CharacteristicLow score ≤104 Mean SD High score >105 Mean SD P value BMI23.74(3.34)24.19(4.91)0.011 Age44.7(11.4)44.6(10.56)0.789 Abdominal circumference84.2(10.55)85.76(12.15)0.005 SBP124.8(17.1)125.6(16.4)0.516 PP47.6(10.4)46.9(9.99)0.131 Heart rate73.9(11.2)73.4(10.8)0.301 TC4.75(0.85)4.89(1.00)<0.001 TG1.53(1.28)1.61(1.43)0.181 HDL-C1.27(0.34)1.3(0.46)0.018 LDL-C2.78(0.7)2.89(0.76)<0.001 BG4.86(1.03)4.85(1.14)0.848 HbA1c(%)5.31(0.842)5.35(0.89)0.847 ALT24.29(17.7)27.25(23.29)<0.001 AST23.58(10.45)23.87(15.8)0.679 r-GTP30.8(34.74)33.7(37.3)<0.001 UA321.8(95.4)334.3(96.9)0.002 UN5.23(3.51)5.48(4.42)0.147 Total protein73.1(5.67)72.4(6.47)0.002 Albumin46.5(3.2)46.2(3.65)0.066 Urine protein16.04(33.5) ( ) 16.59(47.1) ( ) ABI1.058(0.09)1.059(0.081)0.860 baPWV1340.6(261.8)1338.8(219.7)0.245 Work hour/week <2566(6%)36(3.2%) < (3.9%)43(3.8%) (69.8%)615(54.1%) (15.5%)296(26.1%) ≥5552(4.8%)146(12.9%) Sleep duration7.14(0.975)7.16(0.968)0.666 Diet type Never eating too much from youth501(45.3%)439(38.2) <0.001 can't eat too full due to the health concerns180(16.3%)225(19.6%) Eating too much or eating too little186(16.8%)161(14%) Eating full239(21.6%)325(28.3%)

Thanks !!!