Title: Maternal Smoking
1Maternal Smoking the 1998 Master Settlement
Agreement
- Douglas E. Levy, Ph.D.
- Ellen R. Meara, Ph.D.
- Dept. Health Care Policy, Harvard Medical School
- Support Provided by AHRQ T32-HS00055 NIA
T32-AG00186
2Price Responsiveness of Smoking
- Elasticity of smoking participation
- General population ? -0.25
- Pregnant women
- -0.5 (Evans Ringel Natality Files 1989-1992)
- -0.7 (Ringel Evans Natality Files 1989-1995)
- -1.0 (Colman et al. PRAMS data 1993-1999)
- The Master Settlement Agreement led to an
immediate 22 (45) increase in cigarette prices - Price increase from MSA could reduce
- Smoking among pregnant women 10-20
- Low birth weight 2-4
- DID IT?
3Study Design
- Examined four outcomes
- Maternal smoking participation and intensity
- ( of cigarettes/day)
- LBW and birth weight in grams
- Used interrupted time-series regressions to
determine whether there were important changes in
outcomes following the MSA - Subgroup analyses by mothers age, race, education
4Study Data
- National Vital Statistics Natality Detail Files
from 1996 to 2000 - We exclude
- States not reporting maternal smoking (CA, IN,
SD, upstate NY) - Non-singleton birth
- Mother lt15 or gt44 years old
- Incomplete data on outcomes and demographics
- 4 had missing data given first three criteria
- Control variables
- calendar month, state, excise taxes, maternal
demographics, pregnancy characteristics, prenatal
care, heavy alcohol consumption - N 9,638,863
5Study Period
- Infants conceived from January 1996 to February
2000 - Adequately capture pre- and post-MSA trends
without picking up later non-price effects of MSA - Exclude infants conceived from March 1998 through
November 1998 - Avoid pregnancies only partially affected by MSA
6Summary Statistics
Outcome All Smokers Non-Smokers
Smoking 12.1 100 0
Cigs/day (sd) 1.3 (4.4) 11.0 (7.4) 0 (0)
LBW 5.9 10.1 5.3
Birth weight, g (sd) 3352 (572) 3161 (575) 3378 (567)
7Maternal Smokers Are
- More likely to be white
- Less likely to have attended college
- Younger
- Less likely to be married
- Likely to have fewer and later prenatal care
visits - More likely to have had a prior preterm birth
- More likely to drink heavily during pregnancy
8Regression Analyses
- Yits ?0 ?timet ?MSAt ?timetMSAt
?Montht ?Demographicsi us eist - Time is monthly count captures secular trend
- MSA captures immediate changes beginning Nov.
1998 - TimeMSA captures changes in trend following MSA
- Month captures seasonal variation in outcome
9Predicted Smoking Prevalence
MSA, Nov. 1998
10Predicted Smoking Prevalence 15mos Post-MSA
Population w/o MSA w/MSA Rel. ? Pr(?MSA ?MSAtime 0)
All 11.7 11.4 -2.2 plt0.0197
Hispanic 3.2 3.0 -6.3 p0.1064
15-19yo 17.8 16.3 -8.2 plt0.0001
11Predicted LBW Prevalence 15mos Post-MSA
Population w/o MSA w/MSA Rel. ? Pr(?MSA ?MSAtime 0)
All 6.3 6.2 -1.8 p0.0402
Hispanic 5.7 5.5 -4.8 p0.3726
15-19yo 9.0 8.7 -3.5 p0.1077
12Why So Little Effect?
- Perhaps remaining smokers are less likely to
change habits in response to price hikes - Perhaps earlier estimates based on changes in
state excise taxes were confounded - Simultaneous changes in attitude towards smoking
- Simultaneous tobacco control legislation
13Limitations
- No control group
- Assumes trend is linear
- Maternal smoking is self-reported
- Major states were excluded from the analysis
- 20 of births during this period
14Implications
- Pros of price increases for tobacco control
- Young women and their infants may benefit
- Price changes affect most smokers
- Cons of price increases for tobacco control
- Less effective than commonly believed
- Regressive taxation
- Next steps
- Results in other populations?
- Relate to new evidence re long-run
price-responsiveness
15Predicted Smoking Prevalence 15mos Post-MSA
Population w/o MSA w/MSA Rel. ? Pr(?MSA ?MSAtime 0)
All 11.7 11.4 -2.2 plt0.0197
? HS 17.4 17.0 -2.3 plt0.0240
gt HS 5.1 5.0 -1.8 p0.1059
15-19yo 17.8 16.3 -8.2 plt0.0001
20-44yo 10.9 10.8 -1.0 p0.0219
16Predicted Cigarettes/Day15mos Post-MSA
Population w/o MSA w/MSA Rel. ? Pr(?MSA ?MSAtime 0)
All 10.8 10.5 -2.8 plt0.0001
White 11.4 11.1 -2.7 plt0.0001
Black 8.0 7.8 -3.1 p0.0027
Hispanic 7.3 7.2 -1.8 p0.5581
17Predicted Cigarettes/Day15mos Post-MSA
Population w/o MSA w/MSA Rel. ? Pr(?MSA ?MSAtime 0)
All 10.8 10.5 -2.8 plt0.0001
? HS 11.0 10.6 -2.8 plt0.0001
gt HS 10.1 9.8 -2.8 p0.0038
15-19yo 9.3 9.0 -3.3 plt0.0101
20-44yo 11.1 10.8 -2.7 plt0.0001
18Predicted LBW Prevalence 15mos Post-MSA
Population w/o MSA w/MSA Rel. ? Pr(?MSA ?MSAtime 0)
All 6.3 6.2 -1.8 p0.0402
White 5.0 5.0 -0.9 p0.1913
Black 11.5 11.3 -1.4 p0.4135
Hispanic 5.7 5.5 -4.8 p0.3726
19Predicted LBW Prevalence 15mos Post-MSA
Population w/o MSA w/MSA Rel. ? Pr(?MSA ?MSAtime 0)
All 6.3 6.2 -1.8 p0.0402
? HS 7.5 7.3 -2.3 p0.0406
gtHS 4.9 4.9 -0.9 p0.9014
15-19yo 9.0 8.7 -3.5 p0.1077
20-44yo 5.9 5.8 -1.5 p0.1640
20Predicted Birth Weight 15mos Post-MSA
Population w/o MSA w/MSA Rel. ? Pr(?MSA ?MSAtime 0)
All 3337 3341 0.1 plt0.0050
White 3402 3406 0.1 plt0.0029
Black 3137 3139 0.1 p0.2859
Hispanic 3326 3329 0.1 p0.6212
21Predicted Birth Weight 15mos Post-MSA
Population w/o MSA w/MSA Rel. ? Pr(?MSA ?MSAtime 0)
All 3337 3341 0.1 plt0.0050
? HS 3282 3284 0.1 p0.0421
gt HS 3401 3406 0.2 plt0.0302
15-19yo 3188 3198 0.3 p0.0098
20-44yo 3357 3360 0.1 plt0.0092
22Cigarette Prices and Taxes