Title: Biological Assessment and Risk Comparison (BARC) Study: Teaching RRFSS to BARC
1Biological Assessment and Risk Comparison (BARC)
Study Teaching RRFSS to BARC
- A presentation to the
- RRFSS Workshop, Toronto, Canada
- 20 June 2007
2Investigators
- Dr. Pete Kavsak
- McMaster University, ON
- Dr. Andrew MacRae
- Cadham Provincial Laboratory, MB
- Kathy Moran
- Epidemiologist, Durham Region Health Department
- David Northrup
- Institute for Social Research, York University
- Dr. Donna Reynolds
- University of Toronto, ON
3Study Team
- Evelyn Moreau
- Study Coordinator, Lakeridge Health, ON
- Team of Study Nurses
- Bernadette Riordan
- Heather ONeill
- Francine Dion
- Kim James
4Acknowledgment
- Funding provided by the Canadian Institutes of
Health Research pilot project grant Population
and Public Health Methods and Tools grant
5Background
- WHO STEPwise approach for noncommunicable disease
surveillance - Step I self-reported information (core
socio-economic data, tobacco, alcohol,
nutritional status, physical inactivity) - Step II physical measures (height, weight, waist
circumference, blood pressure) - Step III biochemical measures (blood
cholesterol, fasting blood glucose)
6BARC Objectives
- To determine the feasibility of collecting
physical and biochemical measures - To assess the validity of RRFSS modules
- Validity of chronic diseases module (included
self-report blood cholesterol), current smokers - To obtain prevalence estimates of
- High waist circumference
- High risk for cardiovascular disease/Metabolic
syndrome
7BARC Methods
- Recruited from completions in RRFSS
- Respondents consented to a follow up telephone
call from the Study Coordinator - Appointment scheduled in the follow up call from
the Study Coordinator - Assessment completed by the Study Nurse
8Procedure Manual
- Equipment Inventory
- Calibration procedures
- Care and maintenance
- Physical measures protocol
- Biochemical measures protocol
- Cholestech LDX point-of-care device
- Correlation study
- Quality control
- Nurses training
- Data entry screens
- Data coding rules
- Safety Procedures
- Participants
- Study Nurses
- Out of range results
9Recruitment
- RRFSS
- June December 2006
- All adults 18 years and older were eligible,
excluded pregnant women (n1,386) - 180 completions/month
- Standard recruitment scripts for interviewers and
the Study Coordinator - Received weekly list of potential participants
- 359/1,386 (25.9) RRFSS completions consented to
a follow up call - 18/1,386 (1.2) RRFSS completions consented to a
study package only
10Study Package
- 357/359 consented to received a study package
- Letter
- Information Sheets
- Blood cholesterol/glucose
- Blood pressure
- Body Mass Index/Waist Circumference
- Respondent Booklet
11Assessment
- Measures
- Physical measures
- sBP, dBP, height, weight, waist circumference
- Biochemical measures
- Fasting total cholesterol (TC), High density
lipoprotein (HDL), triglycerides, low density
lipoprotein (LDL), glucose - Interview
- Age
- History of heart disease, diabetes, chronic
kidney disease - Medication Use
- Current smoking status
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17Assessment cont
- Obtained signed consent
- 1 hour ( travel time of up to 1 hour)
- 250/359 (69.5) completed an assessment
- 81/359 (22.6) did not participate
- 28/359 (7.8) called and informed the study had
ended - Response rate 11
- 25/250 (10.0) assessments completed at the
Health Department - 44/250 (17.6) did not receive the information
package - Median time from the RRFSS interview to
assessment was 38 days (21-68 days)
18Study Population
- Male 38, Female 62
- Mean age 52.3 years (sd 15.52)
- Median 50 years
- 18-44 35
- 45-64 41
- 65 24
19Study Population
- ltHS 14
- HS 40
- Post 2nd grad 46
- lt40k 25
- 40-70k 27
- 70-100k 18
- 100k 30
- missing 10
- Self-reported general health
- Excellent/good 56
- Good/fair 42
- Poor 2
20Criteria
- Sensitivity and Specificity
- 80 high validity
- 60 to lt80 moderate validity
- lt60 low validity
- Correlation Coefficient
- 0.60 high validity
- 0.40 to lt0.60 moderate validity
- lt0.40 low validity
- Kappa
- 0.60 high agreement
- 0.40 to lt0.60 moderate agreement
- lt0.40 low agreement
21Prevalence of Hypertension
- RRFSS Have you ever been told by a doctor or
other health care professional that you have high
blood pressure? - Yes/no/dk/r
- BARC 2007 recommendations from the Canadian
Hypertension Education Program - 180/90 mmHg or 130/80 mmHg in individuals with
diabetes or chronic kidney disease, or
individuals on antihypertensive medication
22Results Hypertension
Overall Self-report Direct Sensitivity Specificity Kappa
(n250/250) hypertension 23.2 39.6 55.6 98.0 0.577
Males Males Males Males Males Males Males
(n96/96) hypertension 22.9 47.9 45.7 98.0 0.446
Females Females Females Females Females Females Females
(n154/154) hypertension 23.4 34.4 64.2 98.0 0.673
significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05
23Conclusions Hypertension
- Poor validity overall and for males
- Moderate validity for females
24Prevalence of Hypercholesterolemia
- RRFSS Have you ever been told by a doctor or
other health care professional that your blood
cholesterol is high? (if required, cholesterol is
a fatty substance in your blood that can build up
on the insides of your blood vessels)? - Yes/no/dk/r
- BARC Prevalence of hypercholesterolemia was
based on TC gt 5.2 mmol/L or individuals taking
cholesterol-lower medication
25Results Hypercholesterolemia
Overall Self-report Direct Sensitivity Specificity Kappa
(n244/248) hypercholesterolemia 31.6 51.6 51.0 88.2 0.392
Males Males Males Males Males Males Males
(n92/96) hypercholesterolemia 35.9 59.4 53.7 89.5 0.399
Females Females Females Females Females Females Females
(n152/152) hypercholesterolemia 28.9 46.1 49.3 87.7 0.379
significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05
26Conclusions Hypercholesterolemia
- Poor validity in all three groups
27Prevalence of Diabetes
- RRFSS Have you ever been told by a doctor or
other health care professional that you have
diabetes? - Yes/no/dk/r
- BARC 2003 recommendations from the Canadian
Diabetes Association - Fasting blood glucose (FBG) gt 7.00 mmol/L or
individuals currently diagnosed with diabetes or
taking insulin
28Results Diabetes
Overall Self-report Direct Sensitivity Specificity Kappa
(n249/240) diabetes 9.6 10.4 92.0 99.5 0.932
significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05
29Diabetes Conclusions
- High validity in estimating diabetes - overall
30Height, Weight, Body Mass Index (BMI)
- RRFSS How tall are you without shoes?
- Feet/inches/centimetres/dk/r
- RRFSS How much do you weigh?
- -pounds/kilograms/dk/r
- BARC direct measures of height and weight
- BMI categories International definitions
31Results Height, Weight, BMI
Overall Self-report Direct Spearmans rho
(n249/250) mean height (m) 1.68 1.67 0.964
(n239/250) mean weight (kg) 74.54 77.40 0.975
(n238/250) mean BMI (kg/m2) 26.17 27.67 0.946
Males Males Males Males Males
(n95/96) mean height (m) 1.77 1.75 0.951
(n95/96) mean weight (kg) 83.40 84.27 0.957
(n94/96) mean BMI (kg/m2) 26.65 27.44 0.934
Females Females Females Females Females
(n154/154) mean height (m) 1.62 1.62 0.934
(n144/154) mean weight (kg) 68.69 73.12 0.973
(n144/154) mean BMI (kg/m2) 25.86 27.82 0.943
significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05
32Results BMI Categories
Overall Self-report Direct Sensitivity Specificity
(n238/250) acceptable weight (BMI gt 18.5 and lt 25.0) 45.0 35.2 93.1 82.8
(n238/250) overweight/obese (BMI gt 25.0) 55.0 64.0 83.9 93.3
Males Males Males Males Males Males
(n94/96) acceptable weight (BMI gt 18.5 and lt 25.0) 31.9 25.0 82.6 84.5
(n94/96) overweight/obese (BMI gt 25.0) 68.1 72.9 87.0 84.0
Females Females Females Females Females Females
(n144/154) acceptable weight (BMI gt 18.5 and lt 25.0) 53.5 41.6 96.9 81.3
(n144/154) overweight/obese (BMI gt 25.0) 46.5 58.4 81.3 80.5
significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05
33Conclusions Height, Weight, BMI
- High validity for mean height, weight and BMI in
all three groups overall, males and females - High validity for BMI categorized as acceptable
and combined overweight/obese in all three groups
34Why Combine?
Overall Self-report Direct Sensitivity Specificity
(n238/250) overweight (BMI gt 25.0 and lt 30.0) 37.8 38.0 70.7 82.9
(n238/250) obese (BMI gt 30.0) 17.2 26.0 66.7 98.3
Males Males Males Males Males Males
(n94/96) overweight (BMI gt 25.0 and lt 30.0) 53.2 53.1 80.0 77.3
(n94/96) obese (BMI gt 30.0) 14.9 19.8 68.4 98.7
Females Females Females Females Females Females
(n144/154) overweight (BMI gt 25.0 and lt 30.0) 27.8 28.6 59.5 85.3
(n144/154) obese (BMI gt 30.0) 18.8 29.9 65.8 98.1
significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05 significant difference between self-report and quantitative measures, p lt 0.05
35Current Smoking
- RRFSS Have you smoked at least 100 cigarettes in
your lifetime? - Yes/no/dk/r
- RRFSS Currently do you smoke cigarettes
everyday, some days, or not at all? - Everyday/some days/not at all/dk/r
- BARC Are you currently smoking?
- Yes/no
36Current Smoking Results
Overall Self-report Direct Sensitivity Specificity Kappa
(n250/250) current smoking 10.4 12.8 78.1 99.5 0.844
significant difference , p lt 0.05 significant difference , p lt 0.05 significant difference , p lt 0.05 significant difference , p lt 0.05 significant difference , p lt 0.05 significant difference , p lt 0.05 significant difference , p lt 0.05
37Waist Circumference (WC)
- 1998 recommendations from the National
Institutes of Health - High WC
- Males 102 cm (40)
- Females 88 cm (35)
38Results Waist Circumference
Normal WC () High WC () Total (n)
Males 84.4 15.6 96
Females 59.7 40.3 154
Total 69.2 30.8 250
significant difference, p lt 0.05 significant difference, p lt 0.05 significant difference, p lt 0.05 significant difference, p lt 0.05
39Cardiovascular Risk
- Framingham Risk Score (FRS)
- Metabolic Syndrome (MetS)
- National Cholesterol Education Program - Adult
Treatment Panel III (ATP III) - International Diabetes Federation (IDF)
40Framingham Risk Score
- Clinical tool for evaluating a persons 10-year
risk of coronary artery disease - Model to estimate risk based on the data from the
Framingham Heart Study - Identifies three risk categories based on age,
sex, TC, smoking status, HDL, sBP and previous
history of disease - Reference Genest J, Frohlick J, Fodor G and
McPherson R. Recommendations for the management
of dyslipidemia and the prevention of
cardiovascular disease 2003 update. CMAJ October
28, 2003 169(9) online 1-10
41Metabolic Syndrome
- Clustering of cardiovascular risk factors to
identify individuals at high risk for Type 2
Diabetes and cardiovascular disease - Abdominal obesity (WC)
- Hypertension
- Hyperlipidemia (TC, HDL)
- Insulin resistance (FBG)
42MetS Definitons
- National Cholesterol Education Program - Adult
Treatment Panel III (ATP III) - Grundy S, Brewer B, Cleeman J, Smith S and
Lenfant C. Definition of metabolic syndrome
Report of the National Heart, Lung, and Blood
Institute/American Heart Association on
scientific issues related to definition.
Circulation 2004 109 433-438 - International Diabetes Federation (IDF)
- Alberti K, Zimmet P and Shaw J. The metabolic
syndrome - a new worldwide definition. Lancet
2005 366 1059-1062
43Results Cardiovascular Risk
high risk (FRS) MetS (ATP III) MetS (IDF) Kappa (ATP III IDF)
Overall (n250) 26.6 23.2 24.0 0.689
Males (n96) 38.5 26.0 22.9 0.409
Females (n154) 19.1 21.4 24.7 0.872
significant difference, p lt 0.05 significant difference, p lt 0.05 significant difference, p lt 0.05 significant difference, p lt 0.05 significant difference, p lt 0.05
44Next Steps
- Analysis pending
- Non-response study
- Costing
- Weighting
-
- Implications for RRFSS questions influenza
analysis - Physical and Biochemical measures Model for
- Further validation studies smoking, alcohol,
physical activity - Expand to other regions and subpopulations -
ethnicity - Implications for Public Health
- Hypertension, hyperlipidemia, cardiovascular
risk, MetS - Opportunity to partner with LHINs
45Q As