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Predicting response to interventions designed to sustain tobacco abstinence postpartum Michele D. Levine, PhD Western Psychiatric Institute and Clinic University of Pittsburg School of Medicine

Predicting response to interventions designed to sustain

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Page 1: Predicting response to interventions designed to sustain

Predicting response to interventions designed to sustain tobacco abstinence postpartum

Michele D. Levine, PhD

Western Psychiatric Institute and Clinic

University of Pittsburg School of Medicine

Page 2: Predicting response to interventions designed to sustain

Smoking during Pregnancy• Pregnancy is common time for women to quit

• The majority of women who quit during pregnancy resume smoking within the first year postpartum

• Interventions designed to address postpartum smoking relapse can increase the rates of sustained abstinence postpartum

Page 3: Predicting response to interventions designed to sustain

Postpartum Relapse Prevention• The longer-term efficacy of postpartum relapse

prevention interventions is equivocal

• Rates of sustained abstinence vary from 23-72%

• Efforts to develop efficacious intervention might benefit from an understanding factors linked to outcome

Page 4: Predicting response to interventions designed to sustain

Predicting response to interventions• To date, several demographic factors have been

linked to smoking relapse

• Prenatal psychosocial characteristics may be linked to relapse

• Accordingly, in a trial designed to evaluate the relative efficacy of two interventions to prevent postpartum relapse, we examined the relevance of prenatal depressive symptoms and perceived stress to intervention response

Page 5: Predicting response to interventions designed to sustain

• Women (N = 300) who had quit smoking during pregnancy were randomized, prior to delivery, to postpartum-adapted interventions

• 6 month intervention

• Began at end of pregnancy

• Biweekly telephone and in person visits

• Women completed assessments at baseline 12-, 24-and 52-weeks postpartum

Page 6: Predicting response to interventions designed to sustain

STARTS vs. SUPPORT

Components STARTS SUPPORT

Face to face meetings (postpartum) 6 6

Telephone sessions 7 7

Support group offered Y Y

Begin at end of pregnancy and during high-

risk early postpartum period

Y Y

Gift vouchers for attendance at face to face

meetings

Y Y

Education about dangers of smoking Y Y

Discussion of urges to smoke Y Y

Education on mood, stress and weight

concerns

Y N

Cognitive behavioral skills to address

psychosocial mediators of relapse

Y N

Page 7: Predicting response to interventions designed to sustain

Participants (N = 300)Total

(N = 300)

Characteristic Mean (SD)

Age (years) 24.99 (5.65)

# Cigarettes/day 10.95 (9.35)

Years smoking 8.49 (5.65)

# previous quit attempts 3.50 (3.50)

FTND 3.20 (2.04)

Weeks quit at baseline 17.33 (11.73)

Prepregnancy BMI 27.28 (7.51)

% (n)

Race (% black) 54.3 (163)

Education level (% ≤ high school) 45.7 (137)

Household income (% < $30,000) 78 (234)

Parity (% nulliparous) 52 (156)

Page 8: Predicting response to interventions designed to sustain

Methods: Outcomes

• Biochemically-confirmed sustained tobacco abstinence weeks postpartum

• Timeline follow-back

• Expired-air CO

• Salivary cotinine

• Drop outs coded as smoking

• Depressive symptoms and stress at baseline (end of pregnancy), 12, 24 and 52 weeks postpartum

• EPDS

• CES-D

• Perceived stress

Page 9: Predicting response to interventions designed to sustain

Abstinence Rates

24-weeks postpartum

Total 53% (158)

Support 56.7%

STARTS 48.7%

52-weeks postpartum

Total 39% (117)

Support 40.7%

STARTS 37.3%

Page 10: Predicting response to interventions designed to sustain

Which intervention for whom

• Given that both interventions were equally successful, we wondered if demographic or psychosocial variables might help us understand who would benefit most from which postpartum adapted treatment

• Our work and that of others has documented the role of changes in mood and stress on postpartum abstinence

• We examined we examined baseline variables as moderators of treatment response

1. Demographic variables

2. Prenatal depressive symptoms and stress

Page 11: Predicting response to interventions designed to sustain

STARTS Moderation

• Demographic variables

• Age, race, educational attainment and length of quit during pregnancy related to abstinence

• Demographic variables did not moderate response to interventions

Page 12: Predicting response to interventions designed to sustain

Depressive symptoms and stress• Baseline depressive symptoms and perceived

stress interacted with treatment group to predict smoking status

• This interaction between baseline depressive symptoms and treatment group remained significant after adjusting for relevant covariates

Page 13: Predicting response to interventions designed to sustain

Depressive symptoms moderate intervention response

0

5

10

15

20

25

30

35

40

45

50

Time 12 Time 24 Time 52

% a

bsti

nen

t

STARTS-High

SUPPORT-High

STARTS-Low

SUPPPORT-Low

Moderation: Χ2 10.0, p = .001

Page 14: Predicting response to interventions designed to sustain

Abstinence by EPDS and intervention group

0

5

10

15

20

25

30

35

Time 12 Time 24 Time 52

% a

bsti

nen

t

STARTS-High

SUPPORT-High

OR=.19 (CI=0.04-0.83),p=.03

OR = .15 (CI=.03-.77), p=.02

Page 15: Predicting response to interventions designed to sustain

Abstinence by EPDS and intervention group

0

5

10

15

20

25

30

35

40

45

50

Time 12 Time 24 Time 52

% a

bsti

nen

t

STARTS-Low

SUPPPORT-Low

OR = 1.99 (CI =1.01-3.91), p =.05

Page 16: Predicting response to interventions designed to sustain

Abstinence by CES-D and intervention group

0

10

20

30

40

50

60

Time 12 Time 24 Time 52

% a

bsti

nen

t

STARTS-High

SUPPORT-High

STARTS-Low

SUPPPORT-Low

Moderation: Χ2 6.57, p = .01

Page 17: Predicting response to interventions designed to sustain

Abstinence by CES-D and intervention group

0

10

20

30

40

50

60

Time 12 Time 24 Time 52

OR=2.6(CI=1.2-5.7), p=.02

OR=2.5(CI = 1.1-5.7), p=.02

Page 18: Predicting response to interventions designed to sustain

Abstinence by PSS and intervention group

0

10

20

30

40

50

60

Time 12 Time 24 Time 52

% a

bsti

nen

t

STARTS-High

SUPPORT-High

STARTS-Low

SUPPPORT-Low

Moderation: Χ2 3.5, p = .06

Page 19: Predicting response to interventions designed to sustain

Abstinence by PSS and intervention group

0

10

20

30

40

50

60

Time 12 Time 24 Time 52

OR=2.5(CI=1.1-5.9), p=.03

Page 20: Predicting response to interventions designed to sustain

Summary

• Psychosocial factors at the end of pregnancy were associated with differential treatment response

• Women with low levels of prenatal depressive symptoms were more likely to sustain abstinence through one year postpartum when receiving a supportive, postpartum-specific relapse prevention intervention

• Women with higher levels of depressive symptoms at the end of pregnancy appear to benefit from CBT techniques that address mood and stress to sustain tobacco abstinence

Page 21: Predicting response to interventions designed to sustain

Conclusions

• Prenatal mood may be a useful in helping to select an approach to postpartum relapse prevention for women with minimal symptoms

• Given the relevance of postpartum smoking to the health of women, infants and children, additional efforts are needed to effectively intervene to sustain tobacco abstinence among all women

Page 22: Predicting response to interventions designed to sustain

Acknowledgments

Marsha D. Marcus, Ph.D. Melissa A. Kalarchian, Ph.D.Yu Cheng, Ph.D. Rebecca L. Emery, B.A., B.S.

Mallory P. Beatty, M.S. W. Jennifer Grace, M.A.Jackie Rosenstern, M.S.I.S. Betsy Butler, Ph.D. Meredith Strassburger, M.S.W. Gina Sweeny, M.S.Meghan S.C. Wisinski, B.A.

Research supported by:

R01 HD068802 (PI: Levine)

R01 DA021608 (PI: Levine)

Page 23: Predicting response to interventions designed to sustain
Page 24: Predicting response to interventions designed to sustain

Participants Characteristics

Total

(N = 300)

STARTS

(n = 150)

SUPPORT

(n = 150)

STARTS

vs.

SUPPORT

CharacteristicMean

(SD)

Mean

(SD)

Mean

(SD)p

Age (years)24.99

(5.65)

24.97

(5.74)

25.01

(5.57)0.96

# Cigarettes/day10.95

(9.35)

10.35

(6.82)

11.55

(11.32)0.27

Years smoking 8.49 (5.65)8.49

(5.75)

8.49

(5.56)0.99

# previous quit attempts 3.50 (3.50)3.54

(3.88)

3.45

(3.08)0.84

FTND 3.20 (2.04)3.22

(2.01)

3.19

(2.07)0.89

Weeks quit at baseline17.33

(11.73)

16.42

(11.76)

18.21

(11.69)0.22

Prepregnancy BMI27.28

(7.51)

26.79

(7.15)

27.78

(7.85)0.26

% (n) % (n) % (n) p

Page 25: Predicting response to interventions designed to sustain

1,385 total calls

300 randomized

37 ineligible

25 smoked < 5 cigs/day

2 did not smoke daily

3 not motivated to stay quit

4 psychiatric diagnosis

2 moved out of area

1 death

150 CBT intervention 150 SBT intervention

1,126 screened

259 not screened

361 eligible

8 enrolled as pilots

859 interested

267 not interested

118 not pregnant

741 pregnant

105 never smoked

636 pregnant smokers

398 pregnant quitters

135 still smoking

72 quit for < one month

31 quit > 3 months prior to pregnancy

36 delivered before enrolled

17 miscarried before enrolled

Baseline assessment

150 Completed

12-week assessment

129 Completed

10 Not completed

24-week assessment

130 Completed

6 Not completed

52-week assessment

127 Completed

Baseline assessment

150 Completed

12-week assessment

139 Completed

3 Not completed

24-week assessment

137 Completed

5 Not completed

52-week assessment

139 Completed

5 lost to follow-up

2 withdrew

1 death of child

2 lost to follow-up

1 death of child

7 lost to follow-up

3 withdrew

1 death of child

2 lost to follow-up

1 incarcerated

8 lost to follow-up

1 withdrew

150 included in primary analysis 150 included in primary analysis

Page 26: Predicting response to interventions designed to sustain

Depressive symptoms and stress

STARTS

(n = 150)

SUPPORT

(n = 150)

STARTS vs.

SUPPORT

Mean (SD) Mean (SD) t p

CES-D 15.37 (9.87) 15.54 (9.89)

-

0.15 0.88

PSS 22.25 (8.63) 22.75 (7.91)

-

0.52 0.61

Page 27: Predicting response to interventions designed to sustain

Depressive symptoms and stress

Total

(N = 300)

STARTS

(n = 150)

SUPPO

RT

(n =

150)

STARTS

vs.

SUPPORT

Mean (SD) Mean (SD)

Mean

(SD) t p

CES-D 15.46 (9.88) 15.37 (9.87)

15.54

(9.89)

-

0.15 0.88

PSS 22.50 (8.27) 22.25 (8.63)

22.75

(7.91)

-

0.52 0.61