projecting future mortality using information on health behaviors
DESCRIPTION
Projecting Future Mortality Using Information on Health Behaviors. David M. Cutler, Edward L. Glaeser, and Allison B. Rosen. Questions. Is the US population healthier than in the past? Yes: Smoking has declined greatly No: We are more obese Yes: We treat disease better - PowerPoint PPT PresentationTRANSCRIPT
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Projecting Future Projecting Future Mortality Using Mortality Using Information on Health Information on Health BehaviorsBehaviors
David M. Cutler, Edward L. David M. Cutler, Edward L. Glaeser, and Allison B. RosenGlaeser, and Allison B. Rosen
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QuestionsQuestions
Is the US population healthier Is the US population healthier than in the past?than in the past?– Yes: Smoking has declined greatlyYes: Smoking has declined greatly– No: We are more obeseNo: We are more obese– Yes: We treat disease betterYes: We treat disease better
Will these trends continue?Will these trends continue?
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RestrictionsRestrictions
We focus on health behaviors. We focus on health behaviors. – SmokingSmoking– DrinkingDrinking– WeightWeight– Taking medicationsTaking medications
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Actual Causes of Death Actual Causes of Death in the United States, in the United States, 20042004 TobaccoTobacco 18%18% ObesityObesity 15%15%
AlcoholAlcohol 4% 4% Microbial agents Microbial agents 3% 3% Toxic agentsToxic agents 2% 2% MVAsMVAs 2% 2% GunsGuns 1% 1% Sexual behaviorsSexual behaviors 1% 1% Illicit use of drugsIllicit use of drugs 1% 1%
Source: Mokdad et al., 2004.
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MethodologyMethodology
1.1. Relate risk factors to subsequent Relate risk factors to subsequent mortalitymortality– NHANES I data (1971-75) linked to NHANES I data (1971-75) linked to
subsequent mortalitysubsequent mortality
2.2. Evaluate change in risk factors, 1971-Evaluate change in risk factors, 1971-75 vs. 1999-200275 vs. 1999-2002
3.3. Consider forecasts about risk factors Consider forecasts about risk factors in the future.in the future.
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DataData
NHANES I (1971-75) and NHANES NHANES I (1971-75) and NHANES 1999-20021999-2002
Population 25-74 and 55-74Population 25-74 and 55-74
DemographicsDemographics Self reported smoking, alcoholSelf reported smoking, alcohol Physical measures of BP, Physical measures of BP,
cholesterol, BMIcholesterol, BMI
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Rough relationshipsRough relationships
Demographics
Behaviors
Risk: BP, Cholesterol
Mortalityweight
smoking
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Mortality Equation: 10 Mortality Equation: 10 year mortality as a year mortality as a function of…function of… Age/sex (10 year age x sex)Age/sex (10 year age x sex) Race (white/black/other)Race (white/black/other) Education (<HS, HS, Some College, College+)Education (<HS, HS, Some College, College+)
Smoker (current/former/never)Smoker (current/former/never) BMI (low, normal, overweight, obese)BMI (low, normal, overweight, obese) Alcohol (heavy, light, never)Alcohol (heavy, light, never)
Blood pressure (normal, pre-HTN, Stage 1, Stage Blood pressure (normal, pre-HTN, Stage 1, Stage 2)2)
Cholesterol (low, borderline, high)Cholesterol (low, borderline, high)
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Summary Statistics:Summary Statistics:EducationEducation
<HS34%
HS38%
College28%
<HS20%
HS25%
College55%
NHANES I NHANES 1999-2002
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Summary Statistics:Summary Statistics:SmokingSmoking
Former21%
Never39%
Current40%
Former26%
Never49%
Current25%
NHANES I NHANES 1999-2002
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Summary Statistics:Summary Statistics:DrinkingDrinking
Light72%
Non21%
Heavy7%
Light66%
Non30%
Heavy4%
NHANES I NHANES 1999-2002
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Summary Statistics:Summary Statistics:BMIBMI
Obese15%
Over weight
35%
Optimal47%
Under weight
3%
Obese33%
Over weight
35%
Optimal30%
Under weight
2%
NHANES I NHANES 1999-2002
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Summary Statistics:Summary Statistics:HypertensionHypertension
Stage 216%
Stage 124%
Pre-HTN38%
Normal22%
Stage 25%
Normal43%
Pre-HTN39%
Stage 113%
NHANES I NHANES 1999-2002
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Summary Statistics:Summary Statistics:High CholesterolHigh Cholesterol
High30%
Border line35%
Normal35%
Normal48%
Border line34%
High18%
NHANES I NHANES 1999-2002
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Effect of Risk Factors Effect of Risk Factors on 10 Year Mortalityon 10 Year MortalityVariableVariable Odds Odds
RatioRatioVariableVariable Odds Odds
RatioRatio
Race: BlackRace: Black 1.40*1.40* BMI: BMI: UnderweightUnderweight
2.41*2.41*
OtherOther .25.25 OverweightOverweight 0.76*0.76*
Educ: <HSEduc: <HS 1.27*1.27* ObeseObese 1.281.28
CollegeCollege 1.061.06 BP: Pre-HTNBP: Pre-HTN 0.900.90
Smoke: CurrentSmoke: Current 2.13*2.13* Stage 1Stage 1 1.131.13
FormerFormer 1.231.23 Stage 2Stage 2 1.54*1.54*
Drink: HeavyDrink: Heavy 1.021.02 Chol: BorderlineChol: Borderline 1.031.03
LightLight 0.77*0.77* HighHigh 1.151.15
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Predicted 10 Year Predicted 10 Year Mortality RiskMortality Risk
Risk in:Risk in: Ages 25-74Ages 25-74 Ages 55-74Ages 55-74
1971-751971-75 9.8%9.8% 25.7%25.7%
1999-021999-02 8.48.4 21.721.7
ChangeChange -1.4-1.4
[-14%][-14%]-3.9-3.9
[-15%][-15%]
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Percentage Point Percentage Point Change in Risk Due Change in Risk Due to…to…
-0.4%
0.0%
0.4%
0.8%
1.2%
Smok
ing
BP Contro
l
Educa
tion
Chl C
ontro
l
Drinki
ng BMI
Population 25-74
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Percentage Point Percentage Point Change in Risk Due Change in Risk Due to…to…
-0.8%
0.0%
0.8%
1.6%
2.4%
BP Contro
l
Smok
ing
Educa
tion
Chl C
ontro
l
Drinki
ng BMI
Population 55-74
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ForecastsForecasts
Simulate 20 years from nowSimulate 20 years from now
Not totally clear what explains Not totally clear what explains these behaviors. these behaviors. – Smoking: Taxes (a bit); Beliefs; Peer Smoking: Taxes (a bit); Beliefs; Peer
effectseffects– Obesity: Lower (time) price of foodObesity: Lower (time) price of food– Assume these are still playing outAssume these are still playing out
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ForecastsForecasts
SmokingSmoking– Know ever smoking for many Know ever smoking for many
cohorts (guess for others)cohorts (guess for others)– Assume trend reduction in current Assume trend reduction in current
smoking continuessmoking continues– Smoking rate falls from 25% to 15%Smoking rate falls from 25% to 15%
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Per Capita Cigarette Consumption, US1900-2000
0
1,000
2,000
3,000
4,000
5,000
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000
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Forecast AssumptionsForecast Assumptions
DrinkingDrinking– Continued reduction in heavy and Continued reduction in heavy and
light drinkinglight drinking
BMIBMI– Same change in BMI over past 20 Same change in BMI over past 20
years as previous 20 yearsyears as previous 20 years– Increase of about 10 lbs.Increase of about 10 lbs.
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Implications of higher Implications of higher BMI: BP and BMI: BP and CholesterolCholesterol Use 1959-62 NHANES to relate BP and Use 1959-62 NHANES to relate BP and
cholesterol to obesitycholesterol to obesity– Essentially no treatmentEssentially no treatment
Predict BP and cholesterol 20 years Predict BP and cholesterol 20 years hencehence– Includes random error termIncludes random error term
Assume same share of people treated Assume same share of people treated and same impact of treatmentand same impact of treatment– Draw BP and cholesterol from distribution Draw BP and cholesterol from distribution
among treated.among treated.
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Control of Adverse Control of Adverse Risk Factors, 1999-Risk Factors, 1999-20002000
0%
20%
40%
60%
80%
100%
Hypertension High Cholesterol
Aware Treated Controlled
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Impact of Changes on Impact of Changes on Population Mortality Population Mortality RateRate
%age %age pointspoints
PercentPercent
Smoking forecastSmoking forecast -0.7%-0.7% -8%-8%
Drinking forecastDrinking forecast 0.1%0.1% 1%1%
BMI forecastBMI forecast 1.4%1.4% 17%17%
- If everyone takes - If everyone takes medsmeds
1.0%1.0% 12%12%
- More effective - More effective meds / meds /
greater adherencegreater adherence
0.2%0.2% 2%2%
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Impact of 10% reduction in mortality on Impact of 10% reduction in mortality on expected age at death for people alive at expected age at death for people alive at ageage
75
80
85
90
95
25 30 35 40 45 50 55 60 65 70 75 80 85
Baseline Alternate
1.2 years
1.1 years
0.9 years
0.5 years
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ResultsResults
Impact of continued increase in Impact of continued increase in obesity could be enormous.obesity could be enormous.
Key is risk factor controlKey is risk factor control– Get more people treatedGet more people treated– Improve effectiveness of therapy – Improve effectiveness of therapy –
better drugs, and taken more better drugs, and taken more regularlyregularly
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QualificationsQualifications
Impact on mortality is not Impact on mortality is not necessarily the same as impact necessarily the same as impact on disabilityon disability– Important for DI and Important for DI and
Medicare/Medicaid forecastsMedicare/Medicaid forecasts