Show simple item record

Socio-economic status moderates within-person associations of risk factors and smoking lapse in daily life

dc.contributor.authorPotter, Lindsey N.
dc.contributor.authorSchlechter, Chelsey R.
dc.contributor.authorNahum-Shani, Inbal
dc.contributor.authorLam, Cho Y.
dc.contributor.authorCinciripini, Paul M.
dc.contributor.authorWetter, David W.
dc.date.accessioned2023-04-04T17:40:51Z
dc.date.available2024-06-04 13:40:50en
dc.date.available2023-04-04T17:40:51Z
dc.date.issued2023-05
dc.identifier.citationPotter, Lindsey N.; Schlechter, Chelsey R.; Nahum-Shani, Inbal ; Lam, Cho Y.; Cinciripini, Paul M.; Wetter, David W. (2023). "Socio- economic status moderates within- person associations of risk factors and smoking lapse in daily life." Addiction 118(5): 925-934.
dc.identifier.issn0965-2140
dc.identifier.issn1360-0443
dc.identifier.urihttps://hdl.handle.net/2027.42/176052
dc.description.abstractBackground and AimsIndividuals of lower socio-economic status (SES) display a higher prevalence of smoking and have more diffxiculty quitting than higher SES groups. The current study investigates whether the within-person associations of key risk (e.g. stress) and protective (self-efficacy) factors with smoking lapse varies by facets of SES.Design and settingObservational study using ecological momentary assessment to collect data for a 28-day period following a smoking quit attempt. Multi-level mixed models (i.e. generalized linear mixed models) examined cross-level interactions between lapse risk and protective factors and indicators of SES on smoking lapse.ParticipantsA diverse sample of 330 adult US smokers who completed a larger study examining the effects of race/ethnicity and social/environmental influences on smoking cessation.MeasurementsRisk factors included momentary urge, negative affect, stress; protective factors included positive affect, motivation, abstinence self-efficacy; SES measures: baseline measures of income and financial strain; the primary outcome was self-reported lapse.FindingsParticipants provided 43 297 post-quit observations. Mixed models suggested that income and financial strain moderated the effect of some risk factors on smoking lapse. The within-person association of negative [odds ratio (OR) = 0.967, 95% CI= 0.945, 0.990, P < 0.01] and positive affect (OR = 1.023, 95% CI = 1.003, 1.044, P < 0.05) and abstinence self-efficacy (OR = 1.020, 95% CI = 1.003, 1.038, P < 0.05) on lapse varied with financial strain. The within-person association of negative affect (OR = 1.005, 95% CI = 1.002, 1.008, P < 0.01), motivation (OR = 0.995, 95% CI = 0.991, 0.999, P < 0.05) and abstinence self-efficacy (OR = 0.996, 95% CI = 0.993, 0.999, P < 0.01) on lapse varied by income. The positive association of negative affect with lapse was stronger among individuals with higher income and lower financial strain. The negative association between positive affect and abstinence self-efficacy with lapse was stronger among individuals with lower financial strain, and the negative association between motivation and abstinence self-efficacy with lapse was stronger among those with higher income. The data were insensitive to detect statistically significant moderating effects of income and financial strain on the association of urge or stress with lapse.ConclusionSome risk factors (e.g. momentary negative affect) exert a weaker influence on smoking lapse among lower compared to higher socio-economic status groups.
dc.publisherWiley Periodicals, Inc.
dc.publisherGuilford Press
dc.subject.otherEcological momentary assessment
dc.subject.otherfinancial strain
dc.subject.otherincome
dc.subject.othermHealth
dc.subject.othersocio-economic status
dc.subject.othertobacco cessation
dc.titleSocio-economic status moderates within-person associations of risk factors and smoking lapse in daily life
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelPsychiatry
dc.subject.hlbsecondlevelPublic Health
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/176052/1/add16116.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/176052/2/add16116_am.pdf
dc.identifier.doi10.1111/add.16116
dc.identifier.sourceAddiction
dc.identifier.citedreferenceHalbesleben JRB, Neveu JP, Paustian-Underdahl SC, Westman M. Getting to the ‘COR’: understanding the role of resources in conservation of resources theory. J Manag. 2014; 40: 1334 – 64.
dc.identifier.citedreferenceChen A, Machiorlatti M, Krebs NM, Muscat JE. Socioeconomic differences in nicotine exposure and dependence in adult daily smokers. BMC Public Health. 2019; 19: 375.
dc.identifier.citedreferenceMurayama H, Bennett JM, Shaw BA, Liang J, Krause N, Kobayashi E, et al. Does social support buffer the effect of financial strain on the trajectory of smoking in older Japanese? A 19-year longitudinal study. J Gerontol. 2015; 70: 367 – 76.
dc.identifier.citedreferenceWidome R, Joseph AM, Hammett P, van Ryn M, Nelson DB, Nyman JA, et al. Associations between smoking behaviors and financial stress among low-income smokers. Prev Med Rep. 2015; 2: 911 – 5.
dc.identifier.citedreferenceVinci C, Guo L, Spears CA, Li L, Correa-Fernández V, Etcheverry PE, et al. Socioeconomic indicators as predictors of smoking cessation among Spanish-speaking Mexican Americans. Ethn Health. 2019; 24: 841 – 53.
dc.identifier.citedreferenceFiore MC. Treating tobacco use and dependence: 2008 update. Clinical Practice Guideline Rockville, MD: US Department of Health and Human Services, Public Health Service; 2008.
dc.identifier.citedreferenceKendzor DE, Costello TJ, Li YS, Vidrine JI, Mazas CA, Reitzel LR, et al. Race/ethnicity and multiple cancer risk factors among individuals seeking smoking cessation treatment. Cancer Epidemiol Biomark Prev. 2008; 17: 2937 – 45.
dc.identifier.citedreferencePearlin LI, Menaghan EG, Lieberman MA, Mullan JT. The stress process. J Health Soc Behav. 1981; 22: 337 – 56.
dc.identifier.citedreferenceCranford JA, Shrout PE, Iida M, Rafaeli E, Yip T, Bolger N. A procedure for evaluating sensitivity to within-person change: can mood measures in diary studies detect change reliably? Pers Soc Psychol Bull. 2006; 32: 917 – 29.
dc.identifier.citedreferenceReid JL, Hammond D, Boudreau C, Fong GT, Siahpush M, the ITC Collaboration. Socioeconomic disparities in quit intentions, quit attempts, and smoking abstinence among smokers in four western countries: findings from the international tobacco control four country survey. Nicotine Tob Res. 2010; 12: S20 – 33.
dc.identifier.citedreferenceBaumeister RF, Vohs KD, Tice DM. The strength model of self-control. Curr Dir Psychol Sci. 2007; 16: 351 – 5.
dc.identifier.citedreferenceChen E, Miller GE. ‘Shift-and-persist’ strategies: why low socioeconomic status isn’t always bad for health. Perspect Psychol Sci. 2012; 7: 135 – 58.
dc.identifier.citedreferenceFerrer RA, Mendes WB. Emotion, health decision making, and health behaviour. Psychol Health. 2018; 33: 1 – 16.
dc.identifier.citedreferenceHobfoll SE. Conservation of resources—a new attempt at conceptualizing stress. Am Psychol. 1989; 44: 513 – 24.
dc.identifier.citedreferenceFredrickson BL, Joiner T. Positive emotions trigger upward spirals toward emotional well-being. Psychol Sci. 2002; 13: 172 – 5.
dc.identifier.citedreferenceFredrickson BL. The role of positive emotions in positive psychology—the broaden-and-build theory of positive emotions. Am Psychol. 2001; 56: 218 – 26.
dc.identifier.citedreferenceBoardman JD, Robert SA. Neighborhood socioeconomic status and perceptions of self-efficacy. Sociol Perspect. 2000; 43: 117 – 36.
dc.identifier.citedreferenceBandura A. Self-efficacy mechanism in human agency. Am Psychol. 1982; 37: 122 – 47.
dc.identifier.citedreferenceKernan MC, Lord RG. Effects of valence, expectancies, and goal performance discrepancies in single and multiple goal environments. J Appl Psychol. 1990; 75: 194 – 203.
dc.identifier.citedreferenceBeattie S, Hardy L, Woodman T. A longitudinal examination of the interactive effects of goal importance and self-efficacy upon multiple life goal progress. Can J Behav Sci. 2015; 47: 201 – 6.
dc.identifier.citedreferenceSchönfeld P, Preusser F, Margraf J. Costs and benefits of self-efficacy: differences of the stress response and clinical implications. Neurosci Biobehav Rev. 2017; 75: 40 – 52.
dc.identifier.citedreferenceVancouver JB, Thompson CM, Williams AA. The changing signs in the relationships among self-efficacy, personal goals, and performance. J Appl Psychol. 2001; 86: 605 – 20.
dc.identifier.citedreferenceReitzel LR, Lahoti S, Li YS, Cao YM, Wetter DW, Waters AJ, et al. Neighborhood vigilance, health locus of control, and smoking abstinence. Am J Health Behav. 2013; 37: 334 – 41.
dc.identifier.citedreferenceHébert ET, Stevens EM, Frank SG, Kendzor DE, Wetter DW, Zvolensky MJ, et al. An ecological momentary intervention for smoking cessation: the associations of just-in-time, tailored messages with lapse risk factors. Addict Behav. 2018; 78: 30 – 5.
dc.identifier.citedreferenceBandiera FC, Atem F, Ma P, Businelle MS, Kendzor DE. Post-quit stress mediates the relation between social support and smoking cessation among socioeconomically disadvantaged adults. Drug Alcohol Depend. 2016; 163: 71 – 6.
dc.identifier.citedreferenceCornelius ME, Wang TW, Jamal A, Loretan CG, Neff LJ. Tobacco product use among adults—United States, 2019. Morb Mort Wkly Rep. 2020; 69: 1736 – 42.
dc.identifier.citedreferenceWang TW, Asman K, Gentzke AS, Cullen KA, Holder-Hayes E, Reyes-Guzman C, et al. Tobacco product use among adults - United States, 2017. Morb Mort Wkly Rep. 2018; 67: 1225 – 32.
dc.identifier.citedreferenceBusinelle MS, Ma P, Kendzor DE, Reitzel LR, Chen MX, Lam CY, et al. Predicting quit attempts among homeless smokers seeking cessation treatment: an ecological momentary assessment study. Nicotine Tob Res. 2014; 16: 1371 – 8.
dc.identifier.citedreferenceHébert ET, Suchting R, Ra CK, Alexander AC, Kendzor DE, Vidrine DJ, et al. Predicting the first smoking lapse during a quit attempt: a machine learning approach. Drug Alcohol Depend. 2021; 218: 108340.
dc.identifier.citedreferenceVinci C, Li L, Wu C, Lam CY, Guo L, Correa-Fernández V, et al. The association of positive emotion and first smoking lapse: an ecological momentary assessment study. Health Psychol. 2017; 36: 1038 – 46.
dc.identifier.citedreferenceDanaei G, Ding EL, Mozaffarian D, Taylor B, Rehm J, Murray CJL, et al. The preventable causes of death in the United States: comparative risk assessment of dietary, lifestyle, and metabolic risk factors. PLOS Med. 2009; 6: e1000058.
dc.identifier.citedreferenceMokdad AH, Marks JS, Stroup DF, Gerberding JL. Actual causes of death in the United States, 2000. JAMA. 2004; 291: 1238 – 45.
dc.identifier.citedreferenceSamet JM. Tobacco smoking the leading cause of preventable disease worldwide. Thorac Surg Clin. 2013; 23: 103 – 12.
dc.identifier.citedreferenceCreamer MR, Wang TW, Babb S, Cullen KA, Day H, Willis G, et al. Tobacco product use and cessation indicators among adults—United States, 2018. Morb Mort Wkly Rep. 2019; 68: 1013 – 9.
dc.identifier.citedreferenceAgaku IT, King BA, Dube SR, Centers for Disease Control and Prevention (CDC). Current cigarette smoking among adults—United States, 2005–2012. Morb Mort Wkly Rep. 2014; 63: 29 – 34.
dc.identifier.citedreferenceDrope J, Liber AC, Cahn Z, Stoklosa M, Kennedy R, Douglas CE, et al. Who’s still smoking? Disparities in adult cigarette smoking prevalence in the United States. CA Cancer J Clin. 2018; 68: 106 – 15.
dc.identifier.citedreferenceKotz D, West R. Explaining the social gradient in smoking cessation: it’s not in the trying, but in the succeeding. Tob Control. 2009; 18: 43 – 6.
dc.identifier.citedreferenceKalkhoran S, Berkowitz SA, Rigotti NA, Baggett TP. Financial strain, quit attempts, and smoking abstinence among US adult smokers. Am J Prev Med. 2018; 55: 80 – 8.
dc.identifier.citedreferenceReitzel LR, Mazas CA, Cofta-Woerpel L, Li YS, Cao YM, Businelle MS, et al. Subjective social status affects smoking abstinence during acute withdrawal through affective mediators. Addiction. 2010; 105: 928 – 36.
dc.identifier.citedreferenceKendzor DE, Businelle MS, Costello TJ, Castro Y, Reitzel LR, Cofta-Woerpel LM, et al. Financial strain and smoking cessation among racially/ethnically diverse smokers. Am J Public Health. 2010; 100: 702 – 6.
dc.identifier.citedreferenceWitkiewitz K, Marlatt GA. Relapse prevention for alcohol and drug problems—that was Zen, this is Tao. Am Psychol. 2004; 59: 224 – 35.
dc.identifier.citedreferenceMarlatt GA. Relapse prevention: theoretical rationale and overview of the model. In: Marlatt GA, Gordon JR, editors Relapse Prevention New York, NY: Guilford Press; 1985. p. 250 – 80.
dc.identifier.citedreferenceMarlatt GA, Donovan DM. Relapse Prevention: Maintenance Strategies in the Treatment of Addictive Behaviors New York, NY: Guilford Press; 2005.
dc.identifier.citedreferenceSinha R. The role of stress in addiction relapse. Curr Psychiatry Rep. 2007; 9: 388 – 95.
dc.identifier.citedreferenceBrandon TH, Vidrine JI, Litvin EB. Relapse and relapse prevention. Annu Rev Clin Psychol. 2007; 3: 257 – 84.
dc.identifier.citedreferenceShiffman S, Stone AA, Hufford MR. Ecological momentary assessment. Annu Rev Clin Psychol. 2008; 4: 1 – 32.
dc.identifier.citedreferenceBusinelle MS, Ma P, Kendzor DE, Frank SG, Wetter DW, Vidrine DJ. Using intensive longitudinal data collected via mobile phone to detect imminent lapse in smokers undergoing a scheduled quit attempt. J Med Internet Res. 2016; 18: e275.
dc.identifier.citedreferenceCambron C, Haslam AK, Baucom BRW, Lam C, Vinci C, Cinciripini P, et al. Momentary precipitants connecting stress and smoking lapse during a quit attempt. Health Psychol. 2019; 38: 1049 – 58.
dc.identifier.citedreferenceGwaltney CJ, Bartolomei R, Colby SM, Kahler CW. Ecological momentary assessment of adolescent smoking cessation: a feasibility study. Nicotine Tob Res. 2008; 10: 1185 – 90.
dc.identifier.citedreferenceGwaltney CJ, Shiffman S, Balabanis MH, Paty JA. Dynamic self-efficacy and outcome expectancies: prediction of smoking lapse and relapse. J Abnorm Psychol. 2005; 114: 661 – 75.
dc.identifier.citedreferenceLam CY, Businelle MS, Aigner CJ, McClure JB, Cofta-Woerpel L, Cinciripini PM, et al. Individual and combined effects of multiple high-risk triggers on postcessation smoking urge and lapse. Nicotine Tob Res. 2014; 16: 569 – 75.
dc.identifier.citedreferenceShiffman S, Balabanis MH, Gwaltney CJ, Paty JA, Gnys M, Kassel JD, et al. Prediction of lapse from associations between smoking and situational antecedents assessed by ecological momentary assessment. Drug Alcohol Depend. 2007; 91: 159 – 68.
dc.identifier.citedreferenceMinami H, Yeh VM, Bold KW, Chapman GB, McCarthy DE. Relations among affect, abstinence motivation and confidence, and daily smoking lapse risk. Psychol Addict Behav. 2014; 28: 376 – 88.
dc.identifier.citedreferenceShiffman S, Paty JA, Gnys M, Kassel JA, Hickcox M. First lapses to smoking: within-subjects analysis of real-time reports. J Consult Clin Psychol. 1996; 64: 366 – 79.
dc.identifier.citedreferenceShiffman S, Engberg JB, Paty JA, Perz WG, Gnys M, Kassel JD, et al. A day at a time: predicting smoking lapse from daily urge. J Abnorm Psychol. 1997; 106: 104 – 16.
dc.identifier.citedreferenceGallo LC, Matthews KA. Understanding the association between socioeconomic status and physical health: do negative emotions play a role? Psychol Bull. 2003; 129: 10 – 51.
dc.identifier.citedreferenceGallo LC. The reserve capacity model as a framework for understanding psychosocial factors in health disparities. Appl Psychol Health Well Being. 2009; 1: 62 – 72.
dc.identifier.citedreferenceGallo LC, Bogart LM, Vranceanu AM, Matthews KA. Socioeconomic status, resources, psychological experiences, and emotional responses: a test of the reserve capacity model. J Pers Soc Psychol. 2005; 88: 386 – 99.
dc.identifier.citedreferenceMani A, Mullainathan S, Shafir E, Zhao JY. Poverty impedes cognitive function. Science. 2013; 341: 976 – 80.
dc.identifier.citedreferenceShah AK, Mullainathan S, Shafir E. Some consequences of having too little. Science. 2012; 338: 682 – 5.
dc.identifier.citedreferenceSpears D. Economic decision-making in poverty depletes behavioral control. BE J Econom Anal Foreign Policy. 2011; 11: 1 – 44.
dc.identifier.citedreferenceCambron C, Lam CY, Cinciripini P, Li L, Wetter DW. Socioeconomic status, social context, and smoking lapse during a quit attempt: an ecological momentary assessment study. Ann Behav Med. 2020; 54: 141 – 50.
dc.identifier.citedreferenceCambron C, Hopkins P, Burningham C, Lam C, Cinciripini P, Wetter DW. Socioeconomic status, mindfulness, and momentary associations between stress and smoking lapse during a quit attempt. Drug Alcohol Depend. 2020; 209: 107840.
dc.identifier.citedreferenceMueller CW, Parcel TL. Measures of socioeconomic status—alternatives and recommendations. Child Dev. 1981; 52: 13 – 30.
dc.identifier.citedreferenceOakes JM, Rossi PH. The measurement of SES in health research: current practice and steps toward a new approach. Soc Sci Med. 2003; 56: 769 – 84.
dc.working.doiNOen
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.