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. Author manuscript; available in PMC: 2020 Feb 2.
Published in final edited form as: Prev Med. 2018 Dec 18;119:48–51. doi: 10.1016/j.ypmed.2018.12.010

Association between marital status and cigarette smoking: Variation by race and ethnicity

Michael W Ramsey Jr a, Julia Cen Chen-Sankey a, Jacqueline Reese-Smith b, Kelvin Choi a
PMCID: PMC6995657  NIHMSID: NIHMS1068557  PMID: 30576684

Abstract

It is unclear whether health risk behaviors differ by nuanced marital statuses and race/ethnicity. We examined the association between detailed marital status and current cigarette smoking among U.S. adults by race/ethnicity. Data were from four Health Information National Trends (HINTS) study cycles collected in 2011–2017 with a nationally representative sample of adults 30 years and older (n=11,889). Current cigarette smoking prevalence was compared across detailed marital statuses (married, cohabiting, divorced, widowed, separated, single/never married) by race/ethnicity. Adults who had the highest prevalence of cigarette smoking were non-Hispanic Black cohabitors (36.2%), separated non-Hispanic White adults (35.3%), and single/never married Hispanic adults (28.2%). It is noteworthy that widowed adults had lower cigarette smoking prevalence than those who were divorced or separated across races/ethnicities. Taken together, this study demonstrates how cigarette smoking prevalence varies by intersection of marital status and race/ethnicity. Ensuring the equitable implementation of a comprehensive best-practice tobacco prevention and control program that includes prevention and treatment is important to reduce the burden of cigarette smoking in these populations.

INTRODUCTION

Intimate relationships, such as marriage, have been shown to have a substantial influence on one’s health behaviors.1 The 2015 National Health Interview Survey showed that the prevalence of current cigarette smoking was 13.1%, 16.6%, and 20.0% among adults who are married/living with partners, single, and divorced/separated/widowed, respectively.2 Married adults benefit from receiving spousal support and coping resources that are unique to the marriage union.3 Conversely, individuals who do not have spousal support are more likely to experience social isolation or disconnection, which has been identified as a major risk factor for detrimental health behaviors.4

Research suggests that the form and function of cohabitation is similar to that of marriage.5 Yet, cohabitors have been found to have poorer physical and mental health outcomes and higher mortality rates than marrieds.3,6 Researchers have found that the marital relationship provides access to increased economic, social, and psychological resources (e.g., spousal support and the adaptation of healthier lifestyle habits) that promote overall well-being and lower mortality rates.3,7 Previous studies examining differences of health behaviors by other marital statuses have yielded mixed results. For instance, increased risk of mortality among divorced, widowed, separated, and single/never married adults is well-documented.6 Researchers have also found divorce and widowhood to be associated with increased physical activity, relative to married controls.7 Similarly, the transition from singlehood to marriage and cohabitation has been associated with a reduction in fitness and decreased physical activity.7 These health-related outcome inconsistences challenge the suggested protective influence of marriage on health behaviors.

Concurrently, cigarette smoking is known to differentially impact racial/ethnic minorities in the U.S.8 The prevalence of cigarette smoking among Black (16.5%) and White (16.6%) adults are substantially higher than that of Hispanic (10.7%) adults.8 Despite having similar cigarette smoking prevalence rates, Black smokers have a higher smoking-related mortality rate than their White counterparts.9 Black and Hispanic smokers also experience lower rates of successful smoking cessation than White smokers, despite lower cigarette consumption by Blacks and lighter, intermittent smoking by Hispanics.10 Understanding the heterogeneity in cigarette smoking by marital status and race/ethnicity may to guide intervention efforts to reduce tobacco use disparities.

It is unclear if health risk behaviors differ between marrieds and cohabitors, and between those who are divorced, separated, and widowed. Previous studies tended to combine married and living with partners into a single category, and divorced, separated, and widowed as a single category,2 which may mask the heterogeneity in health risk behaviors across detailed martial statuses and result in missed opportunities for targeted interventions. Furthermore, little is known about whether the relationship between these marital statuses and cigarette smoking varies by race/ethnicity. To overcome these limitations in the literature, the current study examines the association between detailed marital status (married, cohabiting, divorced, widowed, separated, single/never married) and current cigarette smoking among U.S. non-Hispanic White, non-Hispanic Black, and Hispanic adults.

METHODS

Study Sample

We used the Health Information National Trends Survey 4 (HINTS 4) Study Cycles 1, 2 and 4 and Survey 5 (HINTS 5) Cycle 1 conducted during 2011–2012, 2012–2013, 2014, and 2017, respectively.11 Multiple survey cycles were pooled to increase sample size; HINTS 4 Cycle 3 was not included because it lacked measures of psychological distress. The HINTS Study administers nationally representative surveys targeting adults aged 18 years or older in the civilian non-institutionalized population of the U.S.12 We limited the sample to adults 30 years and older who self-reported as non-Hispanic White, non-Hispanic Black, and Hispanic (n=11,889). Adults aged 18 years to 29 years were excluded due to the small number of current smokers in some marital status categories. Furthermore, sample sizes for other racial/ethnicity groups were also too small for statistical analysis. This study was determined by the National Institutes of Health Office of Health Subjects Research Protection to be exempted from a review by an Institutional Review Board.

Measures

Respondents answered the question “What is your marital status?” by choosing from one of the following options: married, living as married (cohabiting), divorced, widowed, separated, and single/never been married. Other socio-demographic variables included and controlled in this analysis were age (continuous variable in years), gender, and education (>high school diploma vs. ≤high school diploma). Current cigarette smoking was defined as reporting now smoking at least on “some days” and having smoked at least 100 cigarettes in a lifetime.8

Statistical Analysis

Analyses incorporated multi-cycle sampling weights using the methods introduced by Greenberg.13 Multivariate logistic regressions were conducted to examine the relationship between marital status and current smoking stratified by race/ethnicity, controlling for socio-economic covariates. All reported analyses were conducted in SAS® version 9.4 (SAS Institute; Cary, NC).

RESULTS

Table 1 presents cigarette smoking prevalence by marital status among each race/ethnic group. Among non-Hispanic Whites, separated adults had the highest cigarette smoking prevalence (35.3%), and those who reported marital statuses other than married were more likely to report current cigarette smoking than marrieds (AOR=1.95–3.84; 95% CI=1.22,7.99; Table 2). Among non-Hispanic Blacks, cohabitors had the highest cigarette smoking prevalence (36.2%), and those who reported marital statuses other than married, except for widowed (13.3%), were more likely to report current cigarette smoking than marrieds (AOR=2.60–3.61; 95% CI=1.24-9.99). Among Hispanics, single/never married adults had the highest prevalence of current cigarette smoking (28.2%), and those who were cohabiting (23.9%), separated (22.3%), and divorced (21.7%) were likely to report higher rates of current cigarette smoking than marrieds (AOR=2.19–2.68; 95% CI=0.92-7.75).

Table 1.

Percentages of Current Cigarette Smoking Status Among U.S. Adults (Aged 30 and Over) by Race and Ethnicity, 2011–2017 HINTS 4 Cycles 1,2, and 4 and HINTS 5 Cycle 1 Surveys (n=11,889)

Current Cigarette Smoking Status by Race and Ethnicity
Non-Hispanic White (n=7,643) Non-Hispanic Black (n=1,841) Hispanic (n=2,405)

% % Smoking % % Smoking % % Smoking
Total 16.7% 19.4% 16.3%

Marital Status
 Married 60.9% 64.2% 11.0% 39.8% 11.8% 58.9% 12.0%
 Cohabiting 3.3% 3.3% 30.3% 2.0% 36.2% 3.9% 23.9%
 Divorced 10.1% 10.6% 25.5% 11.1% 23.4% 9.4% 21.7%
 Widowed 6.9% 6.9% 12.3% 5.4% 13.3% 8.0% 12.7%
 Separated 1.7% 1.0% 35.3% 3.7% 32.4% 3.2% 22.3%
 Single/never married 17.2% 14.0% 33.7% 38.0% 25.1% 16.6% 28.2%
Age (years)* 52.9 (0.1) 53.9 (0.1) 48.3 (0.6) 49.3 (0.5) 47.1 (1.2) 52.5 (0.4) 49.5 (1.1)
Gender
 Female 51.4% 50.6% 15.5% 58.6% 16.9% 50.8% 14.1%
 Male 48.6% 49.4% 17.6% 41.4% 23.3% 49.2% 18.7%
Education
 >High School 34.1% 35.9% 7.5% 34.0% 12.3% 20.7% 9.8%
 ≤High School 65.9% 64.1% 21.9% 66.0% 23.1% 79.3% 18.0%

Note:

*

Refers to the mean age of individuals in racial/ethnic group; values in parentheses represent standard error of the mean.

Table 2.

Adjusted Odds Ratios (AOR) for Current Cigarette Smoking Status Among U.S. Adults (Aged 30 and Over) by Race and Ethnicity, 2011–2017 HINTS 4 Cycles 1,2, and 4 and HINTS 5 Cycle 1 Surveys (n=11,889)

Predicting Current Cigarette Smoking
Overall Non-Hispanic White Non-Hispanic Black Hispanic

AOR (95% CI) AOR (95% CI) AOR (95% CI) AOR (95% CI)
Marital Status
 Married Reference Reference Reference Reference
 Cohabiting 1.86 (1.38, 2.52) 2.84 (1.77, 4.54) 3.61 (1.30, 9.99) 2.19 (0.92, 5.19)
 Divorced 1.52 (1.30, 1.78) 2.78 (2.14, 3.61) 2.48 (1.24, 4.94) 2.27 (1.16, 4.43)
 Widowed 1.28 (1.06, 1.58) 1.95 (1.22, 3.11) 1.56 (0.61, 4.02) 1.46 (0.69, 3.07)
 Separated 1.76 (1.25, 2.47) 3.84 (1.85, 7.99) 3.52 (1.56, 7.93) 2.68 (0.93, 7.75)
 Single/never married 1.56 (1.24, 1.97) 3.36 (2.27, 4.97) 2.60 (1.29, 5.25) 2.57 (1.33, 4.94)
Age (years) 0.99 (0.99, 0.99) 0.97 (0.96, 0.97) 0.99 (0.96, 1.01) 0.99 (0.97, 1.00)
Gender
 Female Reference Reference Reference Reference
 Male 1.34 (1.19, 1.50) 1.10 (0.89, 1.36) 1.65 (0.96, 2.82) 1.46 (0.93, 2.30)
Education
 >High School Reference Reference Reference Reference
 ≤High School 1.28 (1.13, 1.45) 3.87 (3.03, 4.95) 2.12 (1.18, 3.78) 3.15 (1.85, 5.37)

DISCUSSION

This is the first U.S. national study to examine the association between detailed marital status and current cigarette smoking by race and ethnicity. A particularly noteworthy observation is that among non-Hispanic Whites and non-Hispanic Blacks, cohabitors have higher prevalence of current cigarette smoking compared to their married counterparts, despite that these two marital statuses were combined into a single group in previous research. Cohabitors are more likely than marrieds to report difficulty in resolving conflict within the relationship, insecurity about how their partners feel about them, and disagreement with their partners’ value system.14 These may in turn generate psychological distress, which is often a precursor and trigger to cigarette smoking as a coping mechanism.15 We preliminarily tested this hypothesis using the sum score of the four measures of psychological distress in HINTS.11 This exploratory analysis showed that cohabitors had higher levels of psychological distress than marrieds (mean psychological distress scores were 2.9 and 1.7, respectively).

Psychological distress may also explain, in part, the potential heterogeneity in the association between marital status and current cigarette smoking by race/ethnicity. Among cohabitors, non-Hispanic Black adults had higher levels of psychological distress than their Hispanic and non-Hispanic White counterparts (mean psychological distress scores were 3.5, 3.0, and 2.7, respectively). A potential reason for this relationship is that cohabitors tend to be of lower socioeconomic status than marrieds and, therefore, are more likely to experience increased depression, stress and anxiety due to financial strain.14 Poverty has been found to play an essential role in the decision to marry across races and ethnicities.16 Uniquely, non-Hispanic Black men are more likely to engage in cohabitation with no intention to marry their partner to increase resources and reportedly lack self-efficacy to provide financially for their families.17 Furthermore, non-Hispanic Black women may view many non-Hispanic Black men as poor prospects for long-term, committed relationships because of their low earning potential.17 Additional sources of psychological distress that are experienced more by non-Hispanic Black adults than those from other racial and ethnic groups include discrimination and individual/institutional racism – all of which have an adverse impact on health and personal relationships.18

Interestingly, among non-Hispanic Black and Hispanic adults, we found the prevalence of cigarette smoking did not differ between those who were married and widowed. Similarly, among non-Hispanic White adults, the prevalence of cigarette smoking among widowed adults was comparable to that of those who were married. Furthermore, widowed adults in our study also had the most comparable levels of psychological distress to those who were married (mean psychological distress scores were 2.1 and 1.7, respectively). One potential explanation for these findings is that widowed and married adults have been found to have similar exposure and emotional reactivity to stressors when excluding spousal arguments.19

Across all three racial and ethnic groups, the prevalence of cigarette smoking among those who were widowed were lower than those who were divorced or separated. Yet, prior research often combined widowed with divorced and separated.2 A divorce or marital separation can cause a substantial amount of psychological distress,6 which often results in cigarette smoking as a mode of coping.15 Widowed adults in our study appear to cope with stressors differently than divorced and separated adults, as they reported lower levels of psychological distress (mean psychological distress scores were 2.1, 2.5, and 3.1, respectively). These findings indicate a need to separate widowed adults from those who are divorced or separated in future research. Furthermore, the prevalence of cigarette smoking among separated non-Hispanic White and non-Hispanic Black adults is higher than that of those who were divorced and of the same racial/ethnic group. Moreover, among separated adults, non-Hispanic Whites reported substantially lower psychological distress than non-Hispanic Blacks (mean psychological distress scores were 2.3 and 3.7, respectively). This finding suggests that cigarette smoking among separated non-Hispanic White adults may not be in response to distress, which warrants further investigation in future research.

Single/never married adults had the highest prevalence of cigarette smoking among Hispanics and the second highest prevalence among non-Hispanic Whites. Research suggests that singlehood is associated with loneliness and dissatisfaction with one’s relationships.6 Moreover, single/never married adults in our study had higher levels of psychological distress than those who were divorced (mean psychological distress scores were 2.7 and 2.5, respectively). Thus, it appears that the single non-Hispanic White and Hispanic adults in our study may have smoked cigarettes to cope with negative feelings associated with social isolation or disconnection, which has been identified as a major risk factor for detrimental health behaviors.4,15

Limitations

This study is not without limitations. First, the sample sizes for cohabitors and separated adults were small in comparison to the married reference group, resulting in limited statistical power. Second, other racial/ethnic populations were not included given the numbers of cohabitors and separated adults in each group were too small for statistical analysis. We did not combine the other racial/ethnic populations (e.g., non-Hispanic Asian, non-Hispanic American Indian or Alaska Native, Pacific Islander, non-Hispanic Native Hawaiian or other Pacific Islander) into one “other” group since they are heterogeneous groups with potentially varying characteristics of cigarette smoking behavior. While increased overall sample size in surveillance studies could be a solution, this may be very costly and infeasibly. Thus, future studies that oversample cohabitors and separated adults and minority populations are needed to further examine the prevalence of health risk behaviors across detailed martial statuses and races/ethnicities. Third, adults aged 18 years to 29 years were excluded due to the sample’s small number of current smokers in some marital status categories, which limits the generalizability of our findings to this age group. Other tobacco products (e.g., hookah, electronic cigarettes, cigars, etc.) were excluded from the study for the same reason. Fourth, we were not able to test gender specific effects of marital status due to the small sample size. Fifth, we did not include income in the model because of its correlation with education, which was included in the analysis. Finally, due to the current study’s cross-sectional nature, no causal inferences can be drawn.

CONCLUSIONS

Our study adds to a growing literature suggesting that there are distinct differences in the form and function between the nuanced marital statuses. We found that heterogeneity in prevalence of cigarette smoking by detailed marital status and race/ethnicity. These findings may inform an alternate method for future surveillance aimed at capturing at-risk adults in these groups. Ensuring the equitable implementation of a comprehensive best-practice tobacco prevention and control program that includes prevention and treatment is important to reduce the burden of cigarette smoking in these populations.20 Furthermore, cohabiting, divorced, and separated adults may benefit from receiving preventive services aimed at providing healthy coping strategies for stress related to marriage and romantic relationships.

Acknowledgements

The comments and opinions expressed in this article are the authors’ own and do not necessarily reflect those of the U.S. Government, Department of Health and Human Services, National Institutes of Health, or National Institute on Minority Health and Health Disparities.

Funding: This work was supported by the National Institute on Minority Health and Health Disparities, Division of Intramural Research.

Footnotes

Conflict of Interest: The authors declare that there are no conflicts of interest.

References

  • 1.Umberson D, Crosnoe R, Reczek C. Social relationships and health behavior across health life course. Annu Rev Sociol. 2011;36:139–157. doi: 10.1146/annurev-soc-070308-120011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Phillips E, Wang TW, Husten CG, et al. Tobacco product use among adults-United States, 2015, MMWR. Morb Mortal Wkly Rep. 2017;66:1209–1215. doi: 10.15585/mmwr.mm6644a2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Liu H, Reczek C. Cohabitation and U.S. adult mortality: An examination by gender and race. J Marriage Fam. 2012;74(4):794–811. doi: 10.1111/j.1741-3737.2012.00983.x. [DOI] [Google Scholar]
  • 4.Cornwell E, Waite LJ. Social disconnectedness, perceived isolation, and health among older adults. J Health Soc Behav. 2009;50(1):31–48. doi: 10.1177/002214650905000103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Musick K, Bumpass L. Reexamining the case for marriage: Union formation and changes in well-being. J Marriage Fam. 2012;74(1):1–18. doi: 10.1111/j.1741-3737.2011.00873.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Carr D, Springer KW. Advances in families and health research in the 21st century. J Marriage Fam. 2010;72:743–761. doi: 10.1111/j.0022-2445.2004.00088.x. [DOI] [Google Scholar]
  • 7.Engberg E, Alen M, Kukkonen-Harjula K, Peltonen JE, Tikkanen HO, Pekkarinen H. Life events and change in leisure time physical activity: a systematic review. Sports Med. 2012;42(5):433–437. doi: 10.2165/11597610-000000000-00000. [DOI] [PubMed] [Google Scholar]
  • 8.Jamal A, Phillips E, Gentzke AS, et al. Current cigarette smoking among adults — United States, 2016. MMWR Morb Mortal Wkly Rep. 2018;67:53–59. doi: 10.15585/mmwr.mm6702a1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.U.S. Department of Health and Human Services. The health consequences of smoking: 50 years of progress A report of the Surgeon General. Atlanta, GA: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health, 2014. [Google Scholar]
  • 10.Trinidad DR, Pérez-Stable EJ, Emery SL, White MM Grana RA, Messer KS. Intermittent and light daily smoking across racial/ethnic groups in the United States. Nicotine Tob Res. 2009;11(2):203–210. doi: 10.1093/ntr/ntn018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.National Cancer Institute. Health Information National Trends Survey (HINTS). 2018. Available at https://hints.cancer.gov/instrument.aspx. Accessed February 20, 2018.
  • 12.Nelson DE, Kreps GL, Hesse BW, et al. The health information national trends survey (HINTS): development, design, and dissemination. J Health Commun. 2004;9(5):443–460. doi: 10.1080/10810730490504233. [DOI] [PubMed] [Google Scholar]
  • 13.Greenberg A How-to HINTS: A multiple cycle example from Healthy People 2020. Presented at the How-To HINTS Workshop; May 4, 2016; Retrieved from https://hints.cancer.gov/meetings-trainings/how-to-hints-webinar.aspx. [Google Scholar]
  • 14.Hsueh AC, Morrison KR, Doss BD. Qualitative reports of problems in cohabiting relationships: Comparisons to married and dating relationships. J Fam Psychol. 2009;23(2):236–246. doi: 10.1037/a0015364. [DOI] [PubMed] [Google Scholar]
  • 15.Clancy N, Zwar N, Richmond R. Depression, smoking and smoking cessation: A qualitative study. Fam Pract. 2013;30(5):587–592. doi: 10.1093/fampra/cmt032. [DOI] [PubMed] [Google Scholar]
  • 16.Umberson D, Montez JK. Social relationships and health: A flashpoint for health policy. J Health Soc Behav. 2010;51 Suppl:S54–S66. doi: 10.1177/0022146510383501. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Chambers AL, Kravitz A. Understanding the disproportionately low marriage rate among African Americans: An amalgam of sociological and psychological constraints. Fam Rel. 2011;60:648–660. doi: 10.1111/j.1741-3729.2011.00673.x. [DOI] [Google Scholar]
  • 18.Williams DR, Sternthal M. Understanding racial-ethnic disparities in health: Sociological contributions. J Health Soc Behav. 2010;51(1):S15–S27. doi: 10.1177/0022146510383838. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Hahn EA, Cichy KE, Small BJ, Almeida DM. Daily emotional and physical reactivity to stressors among widowed and married older adults, J Gerontol B, 2013;69(1):19–28. doi: 10.1093/geronb/gbt035. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Centers for Disease Control and Prevention. Best Practices for Comprehensive Tobacco Control Programs -- 2014. Atlanta: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health, 2014. [Google Scholar]

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