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Novel Mechanisms Linking Relationships to Health: An Interdisciplinary Perspective Chair: Jaye L. Derrick, PhD Jaye L. Derrick, PhD Lindsey M. Rodriguez, PhD Lisa M. Jaremka, PhD Máire B. Ford, PhD Perceived Partner Responsiveness and Invisible Support Predict Smoking Cessation Jaye L. Derrick, University of Houston Kenneth E. Leonard, Rebecca J. Houston, and Joseph F. Lucke, University at Buffalo, SUNY Saul Shiffman, University of Pittsburgh Why Study Smoking? • Smokers want to quit but can’t Why Study Smoking? • Smokers want to quit but can’t • Smoking cessation requires self-control Why Study Smoking? • Smokers want to quit but can’t • Smoking cessation requires self-control • Self-control strength and depletion • Muraven & Baumeister, 2000 Ongoing Interactions Ongoing Interactions Ongoing Interactions • Partners interact in many domains Ongoing Interactions • Partners interact in many domains • Partners are interdependent Ongoing Interactions • Partners interact in many domains • Partners are interdependent • Invisible support • Bolger, Zuckerman, & Kessler, 2000 Relationship Characteristics • Perceived partner responsiveness • Partner understands, approves, and cares • e.g., Reis, 2012; Reis, Clark, & Holmes, 2004; Reis & Shaver, 1988 Relationship Characteristics • Perceived partner responsiveness • Partner understands, approves, and cares • e.g., Reis, 2012; Reis, Clark, & Holmes, 2004; Reis & Shaver, 1988 • Motivated lens for viewing partner behaviors • e.g., Collins & Ford, 2010; Derrick, Leonard, & Homish, 2012; Lemay, Clark, & Feeney, 2007; Murray, Holmes, & Griffin, 2000 Relationship Characteristics • Perceived partner responsiveness • Partner understands, approves, and cares • e.g., Reis, 2012; Reis, Clark, & Holmes, 2004; Reis & Shaver, 1988 • Motivated lens for viewing partner behaviors • e.g., Collins & Ford, 2010; Derrick, Leonard, & Homish, 2012; Lemay, Clark, & Feeney, 2007; Murray, Holmes, & Griffin, 2000 • Predicts achievement and health outcomes • e.g., Feeney, 2004; Lakey & Cassady, 1990; Lakey & Orehek, 2011; Selcuk & Ong, 2013; Slatcher, Selcuk, & Ong, 2015 Hypotheses • Invisible support should predict: • Greater self-control • Lower likelihood of lapsing during a quit attempt • BUT: • Only for those who perceive high partner responsiveness Method Participants • 62 smokers and their non-smoking partners • Smoking status: • 38 (61%) of the smokers were men • 24 (39%) of the smokers were women • Age: • Smokers, M = 36.21, SD = 8.73 • Non-smokers, M = 34.95, SD = 9.14 Participants • Race (% white): • Smokers, 76% • Non-smokers, 85% • Education (in years): • Smokers, M = 13.25, SD = 1.78 • Non-smokers, M = 14.45, SD = 2.14 • Employed (% at least part-time): • Smokers, 67% • Non-smokers, 77% Participants • Marital status: • 61.3% married • 38.7% cohabiting • Children: • 50% had children • range: 1-3 Baseline Procedure • Orientation session at our lab • Completed baseline assessments • Obtained study smart phones • Completed training on completion of EMA Baseline Measure • Global perceived partner responsiveness • • • • • • Used the 6-item subscale of Emotional Intimacy From the Personal Assessment of Intimacy in Relationships (PAIR) Schaefer & Olson, 1981 Scaled from 1 (strongly disagree) to 7 (strongly agree) e.g., “My partner can really understand my hurts and joys” e.g., “My partner listens to me when I need someone to talk to” Daily Procedure • 21-day ecological momentary assessment • Fixed morning report • Fixed evening report • Random prompt reports (3x daily) • Lapse reports as needed Support Received • Evening reports (smoker): • Today my partner... • • • • • • Did something special for me Did a chore that is normally my responsibility Picked up after me Went out of the way to run an errand for me Looked for something I had lost Took care of the kids so I wouldn’t have to Support Provided • Evening reports (non-smoker): • Today I... • • • • • • Did something special for my partner Did a chore that is normally my partner’s responsibility Picked up after my partner Went out of the way to run an errand for my partner Looked for something my partner had lost Took care of the kids so my partner wouldn’t have to Support Indices Mary No No John Yes Yes Support Indices Mary No No Yes No Support John Yes Confirmed Support Support Indices Mary No No No Support Yes Projected Support Yes John Confirmed Support Support Indices Mary No Yes No No Support Invisible Support Yes Projected Support Confirmed Support John Support Indices • Total of six possible behaviors • Separately summed all instances of: • • • • No support Invisible Support Projected Support Confirmed Support Support Indices Mary No Yes No Support Invisible Support M = 4.49 M = 0.74 Projected Support Confirmed Support M = 0.39 M = 0.36 No John Yes Outcome Variables • Self-Control (evening reports): • Today I felt... • like it was easy to work toward my goals • like I had good self-control • like I had a lot of willpower • Scaled from 1 (not at all) to 5 (very much) • α = .75, M = 3.02, SD = 0.93 Outcome Variables • Smoking Day • Any reports of smoking that day • Smoking occurred on 791 (60%) person-days • People reported 0 – 22 smoking days • M = 12.11, SD = 7.33, Mdn = 13 Analytic Strategy Model Building • Mixed effects linear/logistic regression • • • • Reports nested within person Only 1 partner smoked, so not dyadic data Random intercept AR1 for linear outcome Model Building • Mixed effects linear/logistic regression • • • • Reports nested within person Only 1 partner smoked, so not dyadic data Random intercept AR1 for linear outcome • Daily diary covariates • Day of study • Number of evening reports completed • Previous day’s value on DV Substantive Predictors • Level 1 Main effects: • Invisible support • Projected support • Confirmed support • All person mean centered • Both time-lagged and concurrent Substantive Predictors • Level 2 Main Effect: • Perceived partner responsiveness • Grand mean centered • Low/high values for simple slopes at 1 SD -/+ mean • Cross-Level Interactions: • • • • Partner Responsiveness X Invisible Support Partner Responsiveness X Projected Support Partner Responsiveness X Confirmed Support Both time-lagged and concurrent Results Do Invisible Support and Partner Responsiveness Predict Self-Control? • Invisible Support X Partner Responsiveness: • b = .058, 95% CI = [.012, .104], p = .014 Do Invisible Support and Partner Responsiveness Predict Self-Control? 3.30 Lower Invisible Support 3.20 Greater Invisible Support Self-Control 3.10 3.00 2.90 2.80 2.70 2.60 Lower Higher Perceived Partner Responsiveness Do Invisible Support and Partner Responsiveness Predict Self-Control? 3.30 Lower Invisible Support 3.20 Greater Invisible Support Self-Control 3.10 3.00 2.90 2.80 2.70 2.60 Lower Higher Perceived Partner Responsiveness Do Invisible Support and Partner Responsiveness Predict Smoking? • Partner Responsiveness X Invisible Support: • OR = 0.82, 95% CI = [0.67, 0.99], p = .043 Do Invisible Support and Partner Responsiveness Predict Smoking? Probability of Smoking 0.60 Lower Invisible Support Greater Invisible Support 0.40 0.20 Lower Higher Perceived Partner Responsiveness Do Invisible Support and Partner Responsiveness Smoking? Probability of Smoking 0.60 Lower Invisible Support Greater Invisible Support 0.40 0.20 Lower Higher Perceived Partner Responsiveness Mediation? PPR X Invisible Support Self-Control Smoking Lapse Mediation? Self-Control PPR X Support -.202 (.100)* -.168 (.127) Smoking Lapse Discussion Discussion • Invisible support predicts higher self-control and lower likelihood of lapsing • Only true for high partner responsiveness • Non-significant or reversed for low partner responsiveness • Specific to invisible support • Not projected or confirmed support John’s Smoking Cessation John’s Smoking Cessation Special Thanks to... • Colleagues: • University of Houston • Research Institute on Addictions • Trainees: • • • • • Rebecca Eliseo-Arras Courtney Hanny Maggie Britton Sana Haddad Undergraduate RAs • Funding: • R21 DA034068, Derrick