Jordan National Behavioral Risk and Chronic Disease Survey Jordan 2004 / 2005 Dr. Meyasser Zindah Head of NCD Department Ministry Of Health.

Slides:



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

2004 Fannin County Health Survey Texas Behavioral Risk Factor Surveillance System (BRFSS)
Employee Wellness & Physical Activity in Texas: Results from the 2003 BRFSS.
Health Survey for England Jenny Harris
Diabetes in Idaho BRFSS 2009 Data collected from Behavioral Risk Factor Surveillance System Idaho Department of Health and Welfare, Division of.
Health Survey for England 2009 report results Rachel Craig.
Women’s Health and BRFSS Presented By: Neha Thakkar Arkansas BRFSS Coordinator With the help of: Dr. John Senner Project Officer Arkansas Center for Health.
Methods of collecting biological data: Considerations, challenges and implications ESRC Research Methods Festival 2012.
Associations between Obesity and Depression by Race/Ethnicity and Education among Women: Results from the National Health and Nutrition Examination Survey,
NCD Surveillance in Sleman District dr. Fatwa Sari T.D., MPH, PhD Public Health Division Faculty of Medicine, UGM.
THE PREVALENCE OF OVERWEIGHT, OBESITY, DIAGNOSED DIABETES MELLITUS AND HYPERTENSION IN THE SWAHILI COMMUNITY OF OLD TOWN AND KISAUNI DISTRICTS IN MOMBASA.
A comparison of overall health between Asian and Australians from European background: A west Australian study of Diet & Metabolic Syndrome Risk Factors.
Kentucky Behavioral Risk Factor Surveillance System Monitoring the health of Kentuckians: “A look at Mental Health Data” February 8, 2007.
I CAN Prevent Diabetes! Individuals and Communities Acting Now to Prevent Diabetes Recruitment Discussion 2012.
The Oxford Health Alliance The Oxford Health Alliance Community Interventions for Health: Methodology Confronting the Epidemic.
A Profile of Health among Massachusetts Adults: Highlights from the Massachusetts Behavioral Risk Factor Surveillance System (BRFSS) Health Survey.
2009 Maldives Demographic and Health Survey. The 2009 Maldives Demographic and Health Survey (MDHS) is the first DHS conducted in Maldives. The MDHS was.
October 2006, Cairo, Egypt The WHO STEPwise approach to chronic disease risk factor surveillance Overview in EMR October 2006, Cairo, Egypt.
Lydia Kaduka (PhD) Centre for Public Health Research
2004 Falls County Health Survey Texas Behavioral Risk Factor Surveillance System (BRFSS)
Improving the Quality of Physical Health Checks
The effects of initial and subsequent adiposity status on diabetes mellitus Speaker: Qingtao Meng. MD West China hospital, Chendu, China.
Chronic Disease Risk Factors: 6th Grade Student Health Screenings Deanna Hanson, MSN RN, BC Beth Whitfield, BSN, RN, MAE Western Kentucky University Fall.
Ministry of Health and Population Preventive and Primary Health Care Sector Ministry of Health and Population Preventive and Primary Health Care Sector.
United Nations Regional Workshop on the 2010 World Programme on Population and Housing Censuses: Census Evaluation and Post Enumeration Surveys Bangkok,
Community Health Needs Assessment Introduction and Overview Berwood Yost Franklin & Marshall College.
Reproductive and Overall Health Outcomes and Their Economic Consequences for Households in Accra, Ghana Allan Hill and Günther Fink Harvard Center for.
Diabetes mellitus organization of care the experience of Syria Bassam ABDULMASSIH MD Endocrinologist Istanbul Friday,April
The Magnitude of Non-communicable diseases & their Risk factors in Malawi Malawi NCD STEPS SURVEY 2009 BY DR KELIAS MSYAMBOZA.
Rosemarie Hirsch M.D., M.P.H.
Cardiovascular Disease Healthy Kansans 2010 Steering Committee Meeting April 22, 2005.
Health Examination Surveys in Europe Hanna Tolonen National Public Health Institute, Finland.
Risk factor profile for chronic non-communicable diseases: Results of a community-based study in Kerala, India K.R. Thankappan, Bela Shah*, Prashant Mathur*,
Dr. I. Selvaraj Indian Railways Medical Service B.Sc., M.B.B.S., M.D.,D.P.H., D.I.H., PGCHFW ( NIHFW,New Delhi)., Life member of Indian Association of.
Lesotho STEPS Survey 2012 Fact Sheet John Nkonyana Director Disease Control.
NHS Health Checks Helping you prevent heart disease, stroke, diabetes and kidney disease.
Proposed Statistical Methodology for the Canadian Heart Health Surveys Follow-up Study
Chapter 14 Patterns in Health and Disease: Epidemiology and Physiology EXERCISE PHYSIOLOGY Theory and Application to Fitness and Performance, 6th edition.
OZAUKEE COUNTY COMMUNITY HEALTH SURVEY – March 2012 Commissioned by: Aurora Health Care Children’s Hospital of Wisconsin Columbia St. Mary’s Health System.
The EEA Grants: Public Health Initiatives Programme Operator Meeting, Lisboa, 5 June 2014 National Health Examination Survey INSEF Carlos Matias.
Dr. Nadira Mehriban. INTRODUCTION Diabetic retinopathy (DR) is one of the major micro vascular complications of diabetes and most significant cause of.
2014 Kenya Demographic and Health Survey (KDHS) Key Indicators Report.
2015 Afghanistan Demographic and Health Survey (AfDHS) Key Indicators Report.
Ethiopia Demographic and Health Survey 2011 Introduction and Methodology.
Best Foot Forward Study Leah Dorfman Faculty Sponsor: Dr. Ingrid Lofgren Leah Dorfman Faculty Sponsor: Dr. Ingrid Lofgren.
2014 Kenya Demographic and Health Survey (KDHS) Survey Methodology Follow along on
Circulation. 2014;129: Association Between Plasma Triglycerides and High-Density Lipoprotein Cholesterol and Microvascular Kidney Disease and Retinopathy.
Current research suggests that older adults will benefit from increasing their whole grain consumption. An emphasis on whole grain intake is presented.
Follow along on Twitter!
CARDIOVASCULAR DISEASE IN WOMEN :
Noncommunicable Diseases Surveillance in Egypt
Key Indicators Report.
Surveillance of NCDs: Instruments and Data Sources
WHO Surveillance Tools for NCD Risk Factors – Instruments and Data Sources Surveillance and Population-based Prevention Unit Department for Prevention.
Introduction and Methodology
NCD surveillance in LMIC Melanie Cowan, Technical Officer Surveillance and Population-based Prevention Unit Dept. of Chronic Diseases and Health Promotion.
Cardiometabolic Health for Adult Diabetics Living in Beijing China
Non-Communicable Diseases Risk Factors Survey in Georgia
Prevention and Control of Noncommunicable Diseases
NCD surveillance: systems to track risk factors Leanne Riley, Team Leader, Surveillance Surveillance and Population-based Prevention Unit Dept. of Chronic.
prevention and control of non communicable diseases in Iraq
Non Communicable Diseases State of Qatar
Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults Risks and Assessment NHLBI Obesity Education.
Georgia Southern University 2014 Research Symposium
Dr. Ranomal Kotak, Dr. Rozina Mistry and Intisaar Ahmed
Assessment of Whole Grain Intake and
Fort Atkinson School District Wellness Program
The Heart Truth Delaware Background
NCD surveillance Melanie Cowan, Technical Officer, Surveillance Surveillance and Population-based Prevention Unit Dept. of Chronic Diseases and Health.
Generating reliable evidence on the determinants of NCDs
Presentation transcript:

Jordan National Behavioral Risk and Chronic Disease Survey Jordan 2004 / 2005 Dr. Meyasser Zindah Head of NCD Department Ministry Of Health

Justification for study: Jordan has made the epidemiological transition from infections diseases to chronic diseases as the leading causes of morbidity and mortality. As Jordan develops new programs to reduce the risk factors for chronic diseases such as smoking, physical inactivity, overweight and obesity. Timely and ongoing information is needed to measure the magnitude and trends of these chronic diseases and their risk factors.

Main Goal To improve the health of population by reducing mortality, and morbidity, from non -communicable diseases.

Objectives a) To establish an NCDs surveillance system. b) To measure the self- reported prevalence of selected risk factors for chronic disease such as smoking, physical inactivity, nutrition...etc. c) Measure the prevalence of diabetes, hypertension, cholesterol, triglyceride, and obesity using physical and biochemical measures.

Methodology Study Design: national cross-sectional survey, and approved by the Ministry of Health The sampling frame was representative nationally and stratified by governorate, major city, and other urban and rural areas. A multi stage sampling designed by department of statistics to select the households. In each house one adult aged 18 years or older was selected randomly and interviewed.

Methodology Field work was conducted between October 1st and December 31. A total of 3,334 adults were interviewed (Behavioral Sample). Response rate was 94.7%. A representative sub sample were randomly chosen from the original sample for step II & III.. They were asked to fast from midnight preceding their visit to a local health center where blood pressure, weight, height, and waist circumference were obtained. In addition, a blood sample was collected and sent to a central laboratory where total cholesterol, HDL-C, LDL-C, triglycerides, and fasting blood glucose were determined.

Response rate for step II & III were 80%. Standardized training was provided to the attending physicians of the selected local health clinics and standard equipment for measurements were provided and used. Methodology

Response Rate Total Sample (3520 Persons) Behavioral Sample Bio-Chemical Sample Response Rate 95%80%

Stepwise instruments were used in the following sequence: Step 1: Core and expanded Demographic questions Core and expanded behavioral measurements; except for alcohol consumption questions. Note: Optional questions were added to this step about Cholesterol awareness, Diabetes awareness, heart diseases, oral health, eye sight, women health, and medical services. Methodology

Step 2: Core physical measurements, including: weight and height Blood pressure Waist. Step 3: Core biochemical measurements including: Blood glucose level. Total Cholesterol level, and expanded HDL-C and LDL-C Triglyceride level Note: Step 2 and Step 3 were applied according to WHO standards

Field work: The field working team consists of six groups, each group consist of 3 persons: - Epidemiology training resident. - Research assistant. - Driver. The teams visited the selected houses, enumerated the total number of persons 18 years or over in the selected households and selected the eligible participant in a random fashion and directly interviewed them.

عدد افراد الاسرة 18 سنة فما فوق رقم الأسرة في العينه عدد افراد الاسرة 18 سنة فما فوق رقم الأسرة في العينه

عدد افراد الاسرة 18 سنة فما فوق رقم الأسرة في العينه

If the eligible person was not available at the time of visit, the team would try to schedule a time when that person would be available and would return to the house a second time or third time. Households were dropped out of the sample after visiting the three times without a response. Standardized training was provided to all team members. Field work:

Data Management Field supervision: The questionnaire was checked and reviewed by a field supervisor Reviewed questionnaire: Data entry: every questionnaire was checked and entered to the computer so only valid data were possible further checked were carried out every 200 questionnaire. Data cleaning were performed. Data was analyzed using SAS Software.

Thanks you

Results

Distribution of study population according to numbers of days Vigorous physical activity spent during a week % * No. of Persons Number of Days One Day Days Days Days 4 Days Days Days Days 114 Don’t know Total