Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2018 May 1.
Published in final edited form as: AIDS Care. 2017 Oct 4;30(5):564–568. doi: 10.1080/09540121.2017.1382678

Perceived Risks and Benefits of Quitting Smoking in a Sample of Adults Living with HIV/AIDS

Andrea H Weinberger 1, Elizabeth K Seng 2, Hannah Esan 3, Jonathan Shuter 4
PMCID: PMC5860958  NIHMSID: NIHMS929695  PMID: 28975812

Abstract

Persons living with HIV/AIDS (PLWH) smoke at high prevalences and experience significant smoking-related consequences. In community samples, perceived risks and benefits of quitting smoking are related to quit motivation and outcomes and are more strongly endorsed by women. This study examined perceived risks and benefits of quitting smoking and the relationship between risks and benefits and quit motivation and confidence in male and female PLWH. One hundred seven PLWH who reported current cigarette smoking completed measures of demographics, smoking, perceived risks and benefits of quitting smoking, motivation to quit smoking, and confidence in ability to quit smoking. The highest endorsed risks of quitting smoking were cravings and weight gain and higher endorsement of craving risks was associated with lower confidence in the ability to quit smoking. Women endorsed overall risks and risks related to negative affect more highly than men. Women and men did not differ in their endorsement of the other risks, the benefits of quitting, or the relationship between risks and benefits and quit motivation or confidence. It may be useful for health care professionals to incorporate information about perceived risks and benefits of quitting smoking into treatment when working with PLWH who want to stop smoking.

Keywords: HIV, AIDS, smoking, perceived risks, cessation, gender

Introduction

Persons living with HIV (PLWH) smoke cigarettes at prevalences two to four times higher than the general population (e.g., Park, Hernandez-Ramirez, Silverberg, Crothers, & Dubrow, 2016). Smoking among PLWH is associated with multiple diseases and greater mortality (e.g., Helleberg et al., 2015; Pacek & Cioe, 2015). An important step in smoking treatment development for PLWH is to identify variables that impact quitting.

Smokers hold beliefs about the risks and benefits of smoking cessation (e.g., weight gain; improved health; McKee, O’Malley, Salovey, Krishnan-Sarin, & Mazure, 2005). In community samples, greater perceived risks of quitting are associated with lower quit motivation, greater withdrawal symptoms, and worse quit outcomes (e.g., Hendricks & Leventhal, 2013; McKee et al., 2005; Toll et al., 2008; Weinberger, Krishnan-Sarin, Mazure, & McKee, 2008). Perceived benefits of quitting are positively associated with quit motivation (McKee et al., 2005; Weinberger et al. 2010). Gender differences in risks/benefits exist with women reporting greater risks and stronger relationships between risks and quit motivation (Hendricks et al., 2014; McKee et al., 2005; Toll et al., 2008) and men evidencing stronger positive correlations between benefits and quit motivation (McKee et al., 2005).

This study examined perceived risks and benefits of quitting in a sample of PLWH. The first aim was to examine gender differences in risks and benefits. The second aim was to examine the relationship between risks/benefits of quitting and motivation/confidence to quit smoking.

Methods

Participants

Participants were recruited from the Center Positive Living (Montefiore Medical Center, Bronx, New York) between May and September of 2015. Inclusion criteria included: (1) a diagnosis of HIV or AIDS, (2) current cigarette smoking (i.e., smoking ≥1 cigarette in the past day), (3) age 18 years or older, (4) able to speak and read English, and (5) ability to provide oral informed consent.

Procedures

All aspects of the study were approved by the Montefiore Medical Center Institutional Review Board. The senior author (JS) generated a list of patients with appointments during a particular data collection time slot that was entered into a randomizing generator. Researchers approached each patient on the list in order while balancing the number of male and female participants. Upon completion of the study, participants received a $20 Target gift card.

Measures

Demographics

Demographic questions included age, gender, race/ethnicity, and sexual orientation.

HIV Status

HIV status questions included year of HIV diagnosis and use of antiretroviral medication.

Current Smoking Behavior

Participants reported the frequency and quantity of cigarette smoking, non-cigarette tobacco product use, and past quit attempts. Two items from the Thoughts About Abstinence Scale (TAAS, Hall, Havassy, & Wasserman, 1991) were included: 1) Quit Motivation (1=no desire to quit to 10=extremely high desire to quit) and 2) Quit Confidence (1=not confident to 10=extremely confident).

Perceived Risks of Quitting Smoking

The 40-item Perceived Risks and Benefits Questionnaire (PRBQ; McKee et al., 2005) assessed perceived risks and benefits of quitting smoking on a 7-point Likert Scale (1=no chance, 7=certain to happen).

Six subscales assessed risks: 1) Weight Gain (e.g., “I will gain weight.”, 3 items, α=0.595 [Cronbach’s alphas are for the current sample]); 2) Negative Affect (e.g., “I will be more irritable.”, 3 items, α=0.612); 3) Difficulty Concentrating (e.g., “I will be less able to concentrate.”, 5 items, α=0.746); 4) Social Ostracism (e.g., “I will feel uncomfortable around smokers.”, 2 items, α=0.308); 5) Loss of Enjoyment (e.g., “I will miss the taste of cigarettes.”, 2 items, α=0.703); 6) Craving (“I will desire a cigarette.”, 3 items, α=0.787). An overall Risks score was created by averaging all 18 risk items (α=0.863).

Six subscales assessed benefits: (1) Health (e.g., “I will lower my chances of developing lung cancer.”, 5 items, α=0.812); (2) General Well-Being (e.g., “I will be healthier.”, 4 items, α=0.758); (3) Self-Esteem (e.g., “I will feel proud that I was able to quit.”, 4 items, α=0.231); (4) Finances (e.g., “I will be able to save more money.”, 2 items, α=0.725); (5) Physical Appeal (e.g., “I will smell cleaner.”, 3 items, α=0.730); (6) Social Approval (e.g., “The people who care most about me will approve.”, 4 items, α=0.717). An overall Benefits score was created by averaging all 22 benefit items (α=0.872).

Nine investigator-written questions measured aspects of quitting smoking related to HIV (5 items; e.g., “I will be more committed to my HIV care.”), mood (2 items, e.g., “I will feel more depressed.”), substance use (1 item, “I will be more likely to relapse to use of other substances or drugs.”), and pain (1 item, “I will have more trouble managing pain.”) using the same 7-point Likert scale as the PRBQ. The internal consistencies were α=0.822 for all 9 items and α=0.818 for the 5 HIV-related items.

Statistical Analysis

Descriptive statistics were evaluated for all variables. Differences in proportions for men and women were evaluated using chi-squared or Fisher’s exact test and differences in means were evaluated using Student’s t-test or Mann-Whitney U test for ordinal variables or variables that violated equivalence of variance assumptions. Pearson correlations evaluated relationships between quit confidence/quit motivation and perceived risks of quitting; Spearman correlations evaluated relationships between quit confidence/quit motivation and perceived benefits of quitting. The Bonferroni correction was used to account for multiple comparisons.

Results

Sample Characteristics

One-hundred thirteen participants completed consent procedures. Five people reported they were not current smokers after consent procedures and one person completed no questions resulting in a final analytic sample of 107 participants (men, 49.5%; women, 50.5%). See Table 1 for sample characteristics. The sample was primarily heterosexual and identified as either African-American or Latino/a. More women identified as heterosexual and fewer women identified as homosexual compared to men (χ2(2)=15.15, p=0.001). Fewer women than men reported graduating from high school (χ2 (2)=10.92, p=0.004). Male and female participants did not differ on smoking characteristics. Participants reported a moderately high level of quit motivation and moderate level of quit confidence. Women reported a significantly higher level of quit motivation than men (t(106) = 2.40, p = 0.018). There was no gender difference in quit confidence.

Table 1.

Demographic, HIV, and Smoking Characteristics.

Total Men Women Significance

Demographics M (SD) or N (%) M (SD) or N (%) M (SD) or N (%)
Age 49.7 (8.6) 49.9 (9.5) 49.5 (7.7) p = 0.804
Sexual Orientationa
  Heterosexual 74 (71.8%) 28 (54.9%) 46 (88.5%) p = 0.001
  Homosexual 19 (18.4%) 16 (31.4%) 3 (5.8%)
  Bisexual/Other 10 (9.7%) 7 (13.7%) 3 (5.8%)
Race/Ethnicityb
  Black, non-Latino/a 45 (42.1%) 22 (41.5%) 23 (42.6%) p = 0.383
  Latino/a 52 (48.6%) 24 (45.3%) 28 (51.9%)
  White, American Indian, Other, non-Latino/a 10 (9.3%) 7 (13.2%) 3 (5.6%)
Highest Grade Completedc
  1st–11th Grade 38 (36.5%) 11 (22.0%) 27 (50.0%) p = 0.003
  High School Graduate/GED 38 (36.5%) 26 (52.0%) 12 (22.2%)
  Some College or College Graduate 28 (26.9%) 13 (26.0%) 15 (27.8%)
HIV Clinical Characteristics M (SD) or N (%) M (SD) or N (%) M (SD) or N (%)
Years Since HIV Diagnosisd 18.8 (7.1) 18.5 (6.7) 19.1 (7.5) p = 0.702
AIDS Diagnosise
  Yes 42 (40.4%) 24 (46.2%) 18 (34.6%) p = 0.318
  No 62 (59.61%) 28 (53.8%) 34 (65.4%)
Antiretroviral Medicationf
  Yes, currently 68 (77.3%) 35 (81.4%) 33 (73.3%) p = 0.666
  Yes, in the past 5 (5.7%) 2 (4.7%) 3 (6.7%)
  No 15 (17.0%) 6 (14.0%) 9 (20.0%)
Smoking Characteristics Mdn (IQR) or N (%) Mdn (IQR) or N (%) Mdn (IQR) or N (%)
Smoking Daysg
  Daily 79 (79.8%) 36 (78.3%) 43 (81.1%) p = 0.917
  Less than daily 20 (20.2%) 10 (21.7%) 10 (18.9%)
Cigarettes per Dayh
  ≥ 10 49 (47.6%) 25 (49.0%) 24 (46.2%) p = 0.925
  < 10 54 (52.4%) 26 (51.0%) 28 (53.8%)
Other Tobacco use
  Cigar, E-Cigarette, or Pipe 14 (13.0%) 9 (17.0%) 5 (9.1%) p = 0.350
  None 94 (87.0%) 44 (83.0%) 50 (90.9%)
Quit Attempts
  Number of Attemptsi 1.0 (0.0–4.0) 1.0 (0.0–5.0) 1.0 (0.0–3.5) p = 0.576
  Days of Longest Attemptj 67.0 (3.0–730.0) 90.0 (11.0–730.0) 30.0 (1.8–365.0) p = 0.171
M (SD) M (SD) M (SD)
Quit Motivationk 7.1 (2.8) 6.5 (3.0) 7.7 (2.4) p = 0.018
Quit Confidencek 5.9 (2.9) 6.1 (3.1) 5.6 (2.8) p = 0.441

Key: IQR, interquartile range; M, mean; Mdn, median; SD, standard deviation

a

Total N = 103, Male N = 51, Female N = 52

b

Total N = 107, Male N = 53, Female N = 54

c

Total N = 104, Male N = 50, Female N = 54

d

Total N = 99, Male N = 49, Female N = 50

e

Total N = 108, Male N = 55, Female N = 53

f

Total N = 88, Male N = 43, Female N = 45

g

Total N = 99, Male N = 46, Female N = 53

h

Total N = 103, Male N = 51, Female N = 52

i

Total N = 95, Male N = 45, Female N = 50

j

Total N = 107, Male N = 53, Female N = 54

k

Range=1–10 with higher scores reflecting greater motivation to/confidence in quitting smoking; assessed using the Thoughts About Abstinence Scale (Hall et al., 1991)

Perceived Risks and Benefits of Quitting Smoking

The most highly endorsed risks of quitting were cravings and weight gain (Table 2). Compared to men, women reported greater endorsement of overall risks of quitting and risks related to managing negative affect.

Table 2.

Perceived Risks and Benefits of Quitting Smoking by Gender.

Variable Men
M (SD)
Women
M (SD)
Significance
Perceived Risk subscalesa
  Weight Gain 3.8 (1.6) 4.0 (1.5) p = 0.623
  Negative Affect 3.1 (1.6) 4.2 (1.5) p = 0.001
  Attention 2.7 (1.6) 3.4 (1.7) p = 0.077
  Social Ostracism 3.4 (1.8) 3.6 (1.7) p = 0.440
  Loss of Enjoyment 3.2 (1.9) 3.6 (1.8) p = 0.365
  Cravings 3.8 (1.6) 4.2 (1.5) p = 0.158
Overall Perceived Risksb 3.2 (1.0) 3.9 (1.2) p = 0.008
Mdn (IQR) Mdn (IQR)
Perceived Benefit subscalesa
  Health 5.2 (4.4–6.0) 5.4 (4.6–6.0) p = 0.629
  General Well-Being 4.9 (3.8–5.8) 5.3 (4.0–6.0) p = 0.362
  Self-Esteem 5.0 (4.1–5.5) 4.9 (4.3–5.8) p = 0.933
  Finances 5.5 (4.0–6.0) 6.0 (5.0–6.0) p = 0.137
  Physical Appeal 5.0 (4.0–6.0) 5.0 (4.0–6.0) p = 0.952
  Social Approval 4.9 (4.0–5.5) 4.5 (3.0–5.8) p = 0.999
Overall Perceived Benefitsc 4.9 (4.5–5.5) 5.3 (4.6–5.7) p = 0.298

Key: IQR, interquartile range; M, mean; Mdn, median; SD, standard deviation

Note. Subtest p-values are Bonferroni corrected.

a

measured using the Perceived Risks and Benefits Questionnaire (McKee et al., 2005), range=1=7

b

mean of the 18 items measuring perceived risks of quitting

c

mean of the 22 items measuring perceived benefits of quitting

With regard to HIV-related beliefs about quitting (Table 3), participants endorsed that it was likely that their T-cell count would go up, they would be less likely to get infections, and they would be more committed to their HIV care if they quit smoking. Participants endorsed that it was not likely that they would relapse to other drugs or have more trouble managing pain if they quit smoking. There were no gender differences in HIV-related beliefs about quitting.

Table 3.

Beliefs about Quitting Smoking Related to HIV, Mood, Substance Use, and Pain

Variable Men
Mdn (IQR)
Women
Mdn (IQR)
Significance
HIV-related items
T-cell count will go up. 4.0 (2.0–6.0) 5.0 (3.0–6.0) p = 0.123
My viral load will go down. 3.0 (2.0–5.3) 4.0 (1.0–6.0) p = 0.824
I will be less likely to get infections. 4.0 (2.5–6.0) 5.0 (3.0–6.0) p = 0.199
I will be more committed to my HIV care. 5.0 (2.3–6.0) 5.0 (2.0–6.0) p = 0.812
I will take my HIV medications more reliably. 5.0 (2.0–6.0) 5.0 (1.0–6.0) p = 0.794
Mood-related items
I will feel more depressed. 3.0 (0.0–5.0) 4.0 (1.5–6.0) p = 0.091
I will feel more anxious. 3.0 (0.3–5.0) 3.0 (2.0–5.8) p = 0.231
Substance use-related item
I will be more likely to relapse to use of other substances or drugs. 1.0 (0.0–4.3) 1.0 (0.0–3.3) p = 0.886
Pain-related item
I will have more trouble managing pain. 1.0 (0.0–53.0) 2.0 (0.0–4.5) p = 0.117

Key: IQR, interquartile range; Mdn, median

Range of all items=1=7

Perceived Risks and Benefits of Quitting and Motivation to Quit Smoking

No perceived risk or benefit of quitting smoking was associated with quit motivation. A higher perceived risk of cravings when quitting smoking was associated with lower quit confidence (r = −0.27, p = 0.008). There were no gender differences in the relationship of perceived risks/benefits to quit confidence or motivation.

Discussion

Cravings and weight gain were the two most highly endorsed perceived risks of quitting smoking and a higher expectation of cravings was associated with lower confidence in quitting. Cravings and weight gain are associated with smoking relapse among community smokers (e.g., Clark et al., 2006; Piper et al., 2011). Interestingly, both weight gain and weight loss are associated with greater odds of abstinence for PLWH (Buchberg, Gritz, Kypriotakis, Arduino, & Vidrine, 2016). A number of normal-weight PLWH view themselves as underweight (e.g., Sharma, Howard, Schoenbaum, Buono, & Webber, 2006) so weight gain may be seen by many as a benefit. It may be useful to provide behavioral counseling to PLWH who smoke focused on management of cravings and to examine whether cessation-related weight gain is viewed as positive or negative.

Fewer gender differences were found than in community samples (e.g., McKee et al., 2005) similar to a review of smoking and PLWH (Weinberger et al., 2017). Compared to male PLWH, female PLWH more highly endorsed risks of post-quit negative affect. It may be useful to include mood-management components in smoking cessation efforts for female PLWH.

Limitations must be noted. First, our sample included PLWH in New York who were primarily English-speaking Hispanic and non-Hispanic Black adults. Results may not generalize to other PLWH. Second, there was no community sample with which to compare results from PLWH. Third, risks and benefits were examined by gender based on past research finding differences by gender in community samples. Future studies should examine other potential demographic or gender-related variables (e.g., age, race/ethnicity, depression). Finally, the internal consistency reliability estimates were lower than in community samples (Hughes & Naud, 2016; McKee et al., 2005) especially for subscales with a small number of items.

Conclusions

It may be useful for health care professionals to incorporate information about perceived risks and benefits of quitting into treatment when working with PLWH who smoke.

Acknowledgments

The authors thank Alyssa Burns, Brittlyn Katz Pearlman, Christine Lee, and Kate Segal for their help with data collection and Melody Willoughby for her help with data management and entry.

Funding: This work was supported in part by the National Institutes of Health under Grants R01-DA036445, R01-CA192954, R34-DA037042, and K23-NS096107.

Footnotes

Conflicts of interest: The authors have no conflicts of interest to report.

Contributor Information

Andrea H. Weinberger, Ferkauf Graduate School of Psychology, Yeshiva University, Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Address: 1165 Morris Park Ave; Bronx, NY 10461 USA, Phone: (646) 592-4474, andrea.weinberger@einstein.yu.edu.

Elizabeth K. Seng, Ferkauf Graduate School of Psychology, Yeshiva University, The Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Address: 1165 Morris Park Ave; Bronx, NY 10461 USA, Phone: (646) 592-4368, Elizabeth.Seng@einstein.yu.edu.

Hannah Esan, Ferkauf Graduate School of Psychology, Yeshiva University, Address: 1165 Morris Park Ave; Bronx, NY 10461 USA, Phone: (646) 592-4474, hannah.esan@gmail.com.

Jonathan Shuter, Department of Epidemiology and Population Health, Albert Einstein College of Medicine, AIDS Center and Division of Infectious Diseases, Montefiore Medical Center and the Albert Einstein College of Medicine, Address: 111 E. 210th Street, Bronx, NY 10467 USA, Phone: (718) 920-7845, JSHUTER@montefiore.org.

References

  1. Buchberg MK, Gritz ER, Kypriotakis G, Arduino RC, Vidrine DJ. The role of BMI change on smoking abstinence in a sample of HIV-infected smokers. AIDS Care. 2016;28(5):603–607. doi: 10.1080/09540121.2015.1120854. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Clark MM, Hurt RD, Croghan IT, Patten CA, Novotny P, Sloan JA, Loprinzi CL. The prevalence of weight concerns in a smoking abstinence clinical trial. Addictive Behaviors. 2006;31(7):1144–1152. doi: 10.1016/j.addbeh.2005.08.011. [DOI] [PubMed] [Google Scholar]
  3. Hall SM, Havassy BE, Wasserman DA. Effects of commitment to abstinence, positive moods, stress, and coping on relapse to cocaine use. Journal of Consulting and Clinical Psychology. 1991;59:526–532. doi: 10.1037/0022-006X.59.4.526. [DOI] [PubMed] [Google Scholar]
  4. Helleberg M, May MT, Ingle SM, Dabis F, Reiss P, Fatkenheuer G, Obel N. Smoking and life expectancy among HIV-infected individuals on antiretroviral therapy in Europe and North America. AIDS. 2015;29(2):221–229. doi: 10.1097/QAD.0000000000000540. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Hendricks PS, Leventhal AM. Abstinence-related expectancies predict smoking withdrawal effects: Implications for possible causal mechanisms. Psychopharmacology. 2013;230:363–373. doi: 10.1007/s00213-013-3169-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Hendricks PS, Westmaas JL, Ta Park VM, Thorne CB, Wood SB, Baker MR, Hall SM. Smoking abstinence-related expectancies among American Indians, African Americans, and women: Potential mechanisms of tobacco-related disparities. Psychology of Addictive Behaviors. 2014;28(1):193–205. doi: 10.1037/a0031938. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Hughes JR, Naud S. Abstinence expectancies and quit attempts. Addictive Behaviors. 2016 doi: 10.1016/j.addbeh.2016.07.009-10.1097/QAI.0000000000000226. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. McKee SA, O'Malley SS, Salovey P, Krishnan-Sarin S, Mazure CM. Perceived risks and benefits of smoking cessation: Gender-specific predictors of motivation and treatment outcome. Addictive Behaviors. 2005;30(3):423–435. doi: 10.1016/j.addbeh.2004.05.027. [DOI] [PubMed] [Google Scholar]
  9. Pacek LR, Cioe PA. Tobacco use, use disorders, and smoking cessation interventions in persons living with HIV. Current HIV/AIDS Reports. 2015;12(4):413–420. doi: 10.1007/s11904-015-0281-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Park LS, Hernandez-Ramirez RU, Silverberg MJ, Crothers K, Dubrow R. Prevalence of non-HIV cancer risk factors in persons living with HIV/AIDS: A meta-analysis. AIDS. 2016;30(2):273–291. doi: 10.1097/QAD.0000000000000922. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Piper ME, Schlam TR, Cook JW, Sheffer MA, Smith SS, Loh WY, Baker TB. Tobacco withdrawal components and their relations with cessation success. Psychopharmacology. 2011;216(4):569–578. doi: 10.1007/s00213-011-2250-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Sharma A, Howard AA, Schoenbaum EE, Buono D, Webber MP. Body image in middle-aged HIV-infected and uninfected women. AIDS Care. 2006;18(8):998–1003. doi: 10.1080/09540120500521517. [DOI] [PubMed] [Google Scholar]
  13. Toll BA, Salovey P, O'Malley SS, Mazure CM, Latimer A, McKee SA. Message framing for smoking cessation: The interaction of risk perceptions and gender. Nicotine & Tobacco Research. 2008;10(1):195–200. doi: 10.1080/14622200701767803. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Weinberger AH, Krishnan-Sarin S, Mazure CM, McKee SA. Relationship of perceived risks of smoking cessation to symptoms of withdrawal, craving, and depression during short-term smoking abstinence. Addictive Behaviors. 2008;33(7):960–963. doi: 10.1016/j.addbeh.2008.02.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Weinberger AH, Mazure CM, McKee SA. Perceived risks and benefits of quitting smoking in non-treatment seekers. Addiction Research & Theory. 2010;18(4):456–469. doi: 10.3109/16066350903145072. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Weinberger AH, Smith PH, Funk AP, Rabin S, Shuter J. Sex differences in tobacco use among persons living with HIV and AIDS: A systematic review and meta-analysis. JAIDS Journal of Acquired Immune Deficiency Syndromes. 2017;74(4):439–453. doi: 10.1097/QAI.0000000000001279. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES