Tobacco use is the leading preventable cause of death in the United States and is disproportionately higher among veterans than nonveterans. We examined the prevalence of nicotine dependence and its associated risk factors among veterans who used health services in the US Department of Veterans Affairs (VA) system.
Using a case-control design, we compared all VA health service users in fiscal year 2008-2009 (N = 5,031,381) who received a nicotine dependence diagnosis with those who did not. Independent risk and protective factors associated with receiving a nicotine dependence diagnosis were identified using logistic regression analysis. We conducted subgroup analyses on 2 groups of particular policy concern: homeless veterans and veterans who served in Iraq and Afghanistan.
Among all recent VA health service users, 15% (n = 749,353) received a diagnosis of nicotine dependence. Substance abuse, other mental health diagnoses, and homelessness were identified as major risk factors. Veterans who served in Iraq and Afghanistan were not found to be at increased risk compared to veterans from other war eras. Major risk and protective factors within the subgroups of homeless veterans and veterans who served in Iraq and Afghanistan were broadly similar to those in the general VA population.
Given that other studies have found higher rates of nicotine dependence among veterans, this risk behavior may be underdiagnosed in VA medical records. Veterans who are homeless or have mental health or substance abuse problems are at highest risk and should be targeted for smoking prevention and cessation interventions. These results support, in principle, efforts to integrate smoking cessation programs with mental health and homeless services.
Tobacco use is the leading preventable cause of illness, disability, and premature death in the United States (
A nicotine dependence diagnosis is given to people who use tobacco regularly and have become chronically dependent on nicotine. Epidemiological studies have found a 13% point prevalence (
Factors related to smoking cessation have been widely studied; preventing nicotine dependence and identifying predictors of it, less so. Tobacco use is more prevalent and intense among psychiatric populations than the overall population. Up to 41% of adults with mental illness smoke (
Research is inadequate on nicotine dependence in 2 groups of particular interest to the VA health system: homeless veterans and veterans who served in Iraq and Afghanistan in Operation Iraqi Freedom and Operation Enduring Freedom (OIF/OEF). Homelessness among veterans has been a national problem for more than 2 decades (
The objective of this study was to examine all recent users of VA health services, a group readily available for smoking prevention and cessation interventions, to identify the prevalence of nicotine dependence diagnoses and determine the risk factors associated with receiving such a diagnosis. A secondary objective was to examine risk factors for nicotine dependence among homeless veterans and OEF/OIF veterans.
Using a cross-sectional case-control study design, we analyzed VA administrative data for all veterans who used VA health services in fiscal year (FY) 2009 (October 1, 2008, to September 30, 2009) to retrospectively compare veterans who had a nicotine dependence diagnosis to those who did not. We compared groups of veterans on the basis of the following characteristics: sociodemographics, homeless status, OEF/OIF status, use of mental health services, urban/rural residence, income, disability status, and mental health diagnoses. We conducted secondary analyses on homeless veterans and OIF/OEF veterans to identify risk factors among these 2 groups. A nicotine dependence diagnosis, not nicotine dependence per se, was the outcome variable in analyses.
The total sample consisted of 5,031,381 veterans who used VA health services during FY 2009. We identified nicotine dependence if the veteran received an
We defined homeless veterans as veterans who received either specialized VA homeless services or an ICD-9-CM V60.0 diagnostic code (indicating lack of housing) during FY 2009. We identified OIF/OEF veterans through a file provided to the VA by the Department of Defense.
Sociodemographic characteristics included sex, age, race/ethnicity, annual household income, and urban/rural residence. We used the working clinical diagnoses of VA clinicians as recorded in the electronic medical record, and we clustered them together in our analysis as dementia, schizophrenia, major depression, bipolar disorder, posttraumatic stress disorder (PTSD), any anxiety disorder (excluding PTSD), alcohol and other drug use disorders, and any personality disorder. We classified veteran service–connected disability status into 3 groups: not service-connected, service-connected with less than 50% disability, and service-connected with 50% or greater disability. We documented urban/rural status using zip codes and the Rural-Urban Commuting Area Codes developed in 1998 at the University of Washington (
In bivariate comparisons of veterans with a nicotine dependence diagnosis and veterans without the diaganosis, we tested the significance of group differences using χ2 tests and calculated odds ratios with 95% confidence intervals. Subsequently, we used logistic regression to identify risk factors and protective factors independently associated with nicotine dependence. We dummy coded variables representing race/ethnicity, urban/rural residence, service-connected disability status, and annual income, with reference categories representing other race/ethnicity, urban location, non–service connected, and incomes less than $7,000, respectively. We conducted subgroup analyses on homeless veterans and OIF/OEF veterans. Again, we used logistic regression to identify risk factors and protective factors independently associated with nicotine dependence within each subgroup. We set the level of significance for all analyses at
Of all VA health service users in FY 2009, 749,353 (14.9%) received a nicotine dependence diagnosis (
The only protective factor among mental health diagnoses was having a diagnosis of dementia. Veterans who received any other mental health diagnoses (including schizophrenia, affective disorders, anxiety disorders, substance use disorders, and personality disorders) were significantly more likely to have a nicotine dependence diagnosis also. At greatest risk were veterans diagnosed with schizophrenia, an alcohol use disorder, a drug use disorder, or a personality disorder.
After controlling for other factors, veterans who were male, homeless, black, living in rural areas, using mental health services, and had an annual income of more than $7,000 were at increased risk for a nicotine dependence diagnosis independent of other factors (
We identified 120,234 (2.4%) homeless veterans. Among them, 47,252 (39.3%) received a diagnosis of nicotine dependence. Being male, living in a small or large rural area, having an income of $7,000 to $14,999, and being service-connected with less than 50% disability were significantly predictive of a nicotine dependence diagnosis (
Of the 200,300 (4.0%) veterans who served in OEF/OIF, 30,297 (15.1%) received a diagnosis of nicotine dependence. Among OEF/OIF veterans, being male, homeless, and younger, living in a rural area, having income of $7,000 to $24,999, and using mental health services were significantly predictive of a nicotine dependence diagnosis (
We found that 15% of all veterans who used VA health services in FY 2009 received a diagnosis of nicotine dependence. Because we analyzed administrative data, we likely underestimated how many veterans actually have nicotine dependence; recent estimates indicate that 26% to 27% of veterans smoke (
In identifying major risk factors, veterans who had mental health or substance use disorders were at significantly higher risk of receiving a nicotine dependence diagnosis than veterans who did not have such diagnoses. Among VA mental health service users, one-fourth had a nicotine dependence diagnosis. This result is consistent with previous findings of increased rates of nicotine use among adults with mental illness or substance use disorders in the general population (
Having an alcohol use disorder was the strongest independent predictor of a nicotine dependence diagnosis, followed closely by a drug use disorder. Veterans who had an alcohol use disorder were more than 3 times as likely and veterans with a drug use disorder were almost 2 times as likely to receive a nicotine dependence diagnosis compared to veterans without such disorders and controlling for other influential factors. VA clinicians may need to pay particular attention to smoking behaviors among veterans with mental illness or substance use disorders, especially because nicotine dependence disproportionately reduces the quality and length of life of people with these disorders in the general population (
Homeless veterans were also at increased risk for nicotine dependence diagnosis (39%), independent of their increased risk for addictive disorders. This finding is consistent with recent studies, which have found that 69% to 73% of homeless people in the general population smoke (
OEF/OIF status was protective against nicotine dependence diagnosis, in contrast to previous studies, which relied on self-report (
This study has several limitations. Administrative records are not always complete or reliable. VA clinicians may have neglected to document nicotine dependence in the face of presenting primary diagnoses, which only illustrates the importance for VA clinicians to conduct comprehensive assessments of patients that include questions about smoking behaviors. We focused on identifying risk factors of a clinical diagnosis of nicotine dependence, which may be different from factors related to actual nicotine dependence. There may also be other correlates of nicotine dependence that we did not address in our analyses, such as certain medical conditions and unmeasured individual characteristics. Given our large sample size, analyses were sensitive to statistical significance, so we focused on odds ratios to identify major risk factors. Although we identified some correlates for nicotine dependence among veterans, we could not examine the causal pathways through which these factors increase risk because our data were cross-sectional. Future research and development of assessment, documentation, and interventions in this area are needed.
Our results suggest veterans are underdiagnosed for nicotine dependence and that better assessment and documentation methods are needed in the VA health system. Veterans who are homeless, have a mental illness, or have a substance use disorder may be particularly vulnerable to dependence on nicotine, and targeted outreach and intervention for these groups may be needed. This study may contribute to improved targeting of smokng prevention and cessation efforts in the VA health care system.
This article is based on work supported by the Department of Veterans Affairs, Veterans Health Administration, Office of Research and Development. We thank Jennifer Cahill for assisting with data analysis.
The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.
Bivariate Analysis of Demographic Characteristics, Health Service Use, and Mental Health Diagnoses With Nicotine Dependence Among Veterans,
| All VA Service Users, n (%) (N = 5,031,381) | VA Service Users With Nicotine Dependence, n (%) (n = 749,353) | Likelihood of Being Diagnosed With Nicotine Dependence, OR (95% CI) | |
|---|---|---|---|
| Male | 4,745,729 (94.3) | 708,256 (14.9) | 1.0 (1.0-1.1) |
| Female | 285,652 (5.7) | 41,097 (14.4) | 1 [Reference] |
| OIF/OEF | 200,300 (4.0) | 30,297 (15.1) | 1.0 (1.0-1.0) |
| Other war eras | 4,831,081 (96.0) | 719,056 (14.9) | 1 [Reference] |
| Homeless | 120,234 (2.4) | 47,252 (39.3) | 3.9 (3.8-3.9) |
| Not homeless | 4,911,147 (97.6) | 702,101 (14.3) | 1 [Reference] |
| <40 | 548,827 (10.0) | 77,549 (14.1) | 0.9 (0.9-0.9) |
| Not <40 | 4,482,554 (89.1) | 671,804 (15.0) | 1 [Reference] |
| 40-49 | 474,444 (9.4) | 99,805 (21.0) | 1.6 (1.6-1.6) |
| Not 40-49 | 4,556,937 (90.6) | 649,548 (14.3) | 1 [Reference] |
| 50-64 | 1,855,142 (36.9) | 417,610 (22.5) | 2.5 (2.5-2.5) |
| Not 50-64 | 3,176,239 (63.1) | 331,743 (10.4) | 1 [Reference] |
| 65-74 | 931,971 (18.5) | 107,565 (11.5) | 0.7 (0.7-0.7) |
| Not 65-74 | 4,099,410 (81.6) | 641,788 (15.7) | 1 [Reference] |
| 75-85 | 975,536 (19.4) | 42,806 (4.4) | 0.2 (0.2-0.2) |
| Not 75-85 | 4,055,845 (80.6) | 706,547 (17.4) | 1 [Reference] |
| >85 | 245,461 (4.9) | 4018 (1.6) | 0.1 (0.1-0.1) |
| Not >85 | 4,785,920 (95.1) | 745,335 (15.6) | 1 [Reference] |
| White/unknown | 4,667,988 (92.8) | 683,919 (14.6) | 0.8 (0.8-0.8) |
| Not white/unknown | 363,393 (7.2) | 65,434 (18.0) | 1 [Reference] |
| Black | 269,618 (5.4) | 54,278 (20.1) | 1.5 (1.5-1.5) |
| Not black | 4,761,763 (94.6) | 695,075 (14.6) | 1 [Reference] |
| Hispanic | 101,633 (2.0) | 12,271 (12.1) | 0.8 (0.8-0.8) |
| Not Hispanic | 4,929,748 (98.0) | 737,082 (15.0) | 1 [Reference] |
| Urban | 3,403,266 (70.0) | 492,611 (14.5) | 0.7 (0.7-0.8) |
| Not urban | 1,456,514 (28.9) | 235,919 (16.2) | 1 [Reference] |
| Large rural | 596,785 (12.3) | 96,631 (16.2) | 1.3 (1.3-1.3) |
| Not large rural | 4,755,606 (94.5) | 631,899 (13.3) | 1 [Reference] |
| Small rural | 479,733 (9.9) | 77,951 (16.2 | 1.3 (1.2-1.3) |
| Not small rural | 4,872,658 (96.8) | 650,579 (13.4) | 1 [Reference] |
| Isolated rural | 379,996 (7.8) | 61,337 (16.1) | 1.2 (1.2-1.3) |
| Not isolated rural | 4,972,395 (98.8) | 667,193 (13.4) | 1 [Reference] |
| <7,000 | 1,684,080 (33.5) | 224,110 (13.3) | 0.8 (0.8-0.8) |
| Not <7,000 | 3,347,301 (66.5) | 525,243 (15.7) | 1 [Reference] |
| 7,000-14,999 | 863,429 (17.2) | 174,188 (20.2) | 1.6 (1.6-1.6) |
| Not 7,000-14,999 | 4,167,952 (82.8) | 575,165 (13.8) | 1 [Reference] |
| 15,000-24,999 | 620,426 (12.3) | 101,087 (16.3) | 1.1 (1.1-1.1) |
| Not 15,000-24,999 | 4,410,955 (87.7) | 648,266 (14.7) | 1 [Reference] |
| ≥25,000 | 1,863,446 (37.0) | 249,968 (13.4) | 0.8 (0.8-0.8) |
| Not ≥25,000 | 3,167,935 (63.0) | 499,385 (15.8) | 1 [Reference] |
| Not service-connected | 3,212,820 (63.8) | 479,899 (14.9) | 0.9 (0.9-0.9) |
| Service-connected | 1,818,561 (36.1) | 269,454 (14.8) | 1 [Reference] |
| Service-connected, <50% disabled | 943,456 (18.8) | 128,361 (13.6) | 1.0 (1.0-1.0) |
| Not service-connected, <50% disabled | 4,567,824 (90.8) | 620,992 (13.6) | 1 [Reference] |
| Service-connected, ≥50% disabled | 875,105 (17.4) | 141,093 (16.1) | 1.3 (1.3-1.3) |
| Not service-connected, ≥50% disabled | 4,636,175 (92.1) | 608,260 (13.1) | 1 [Reference] |
| Any | 1,102,846 (21.9) | 281,266 (25.5) | 2.5 (2.5-2.5) |
| None | 3,928,535 (78.1) | 468,087 (11.9) | 1 [Reference] |
| Dementia | 58,157 (1.2) | 3,226 (5.6) | 0.3 (0.3-0.3) |
| No dementia | 4,973,224 (98.8) | 746,127 (15.0) | 1 [Reference] |
| Schizophrenia | 91,228 (1.8) | 30,916 (33.4) | 3.0 (3.0-3.1) |
| No schizophrenia | 4,940,153 (98.2) | 718,437 (14.5) | 1 [Reference] |
| Bipolar disorder | 102,636 (2.0) | 32,608 (31.8) | 2.7 (2.7-2.8) |
| No bipolar disorder | 4,928,745 (98.0) | 716,745 (14.5) | 1 [Reference] |
| Major depression | 251,560 (5.0) | 64,732 (25.7) | 2.1 (2.1-2.1) |
| No major depression | 4,779,821 (95.0) | 684,621 (14.3) | 1 [Reference] |
| Anxiety disorder | 365,270 (7.3) | 87,406 (23.9) | 1.9 (1.9-1.9) |
| No anxiety disorder | 4,666,111 (92.7) | 661,947 (14.2) | 1 [Reference] |
| PTSD | 494,202 (9.8) | 118,495 (24.0) | 2.0 (1.9-2.0) |
| No PTSD | 4,537,179 | 630,858 (13.9) | 1 [Reference] |
| Alcohol use disorder | 301,214 (6.0) | 138,495 (46.0) | 5.7 (5.7-5.8) |
| No alcohol use disorder | 4,730,167 (94.0) | 610,858 (12.9) | 1 [Reference] |
| Drug use disorder | 196,268 (3.9) | 91,249 (46.5) | 5.5 (5.5-5.6) |
| No drug use disorder | 4,835,113 (96.1) | 658,104 (13.6) | 1 [Reference] |
| Personality disorder | 43,176 (0.9) | 14,869 (34.4) | 3.0 (3.0-3.1) |
| No personality disorder | 4,988,205 (99.1) | 734,484 (14.7) | 1 [Reference] |
Abbreviations: VA, Veterans Affairs; OR, odds ratio; CI, confidence interval; OEF/OIF, Operation Enduring Freedom/Operation Iraqi Freedom; PTSD, post-traumatic stress disorder.
Among veterans who used the US Department of Veterans Affairs health system.
OR for age represents odds with every increase of 10 years.
Excludes PTSD.
Association of Demographic Characteristics, Health Service Use, and Mental Health Diagnoses With Nicotine Dependence Among Veterans,
| Characteristic/Use/Diagnosis | Likelihood of Nicotine Dependence Diagnosis | |
|---|---|---|
| OR (95% CI) | ||
| Female | 1 [Reference] | NA |
| Male | 1.5 (1.5-1.5) | <.001 |
| Other war eras | 1 [Reference] | NA |
| OIF/OEF | 0.4 (0.4-0.5) | <.001 |
| Not homeless | 1 [Reference] | NA |
| Homeless | 1.2 (1.1-1.2) | <.001 |
| 0.8 (0.8-0.8) | <.001 | |
| Other | 1 [Reference] | NA |
| White/unknown | 1.1 (1.0-1.3) | .006 |
| Black | 1.3 (1.2-1.4) | <.001 |
| Hispanic | 0.8 (0.8-0.9) | <.001 |
| Urban | 1 [Reference] | NA |
| Large rural | 1.3 (1.3-1.3) | <.001 |
| Small rural | 1.3 (1.3-1.3) | <.001 |
| Isolated rural | 1.4 (1.3-1.4) | <.001 |
| <7,000 | 1 [Reference] | NA |
| 7,000-14,999 | 1.5 (1.5-1.6) | <.001 |
| 15,000-24,999 | 1.3 (1.3-1.3) | <.001 |
| ≥25,000 | 1.1 (1.1-1.1) | <.001 |
| Not service-connected | 1 [Reference] | NA |
| Service-connected, <50% disabled | 0.8 (0.8-0.8) | <.001 |
| Service-connected, ≥50% disabled | 0.8 (0.8-0.8) | <.001 |
| None | 1 [Reference] | NA |
| Any | 1.3 (1.3-1.3) | <.001 |
| Not having the diagnosis | 1 [Reference] | NA |
| Dementia | 0.5 (0.5-0.6) | <.001 |
| Schizophrenia | 1.8 (1.7-1.8) | <.001 |
| Bipolar disorder | 1.2 (1.2-1.2) | <.001 |
| Major depression | 1.1 (1.0-1.1) | <.001 |
| Anxiety disorder | 1.1 (1.1-1.1) | <.001 |
| PTSD | 1.2 (1.2-1.2) | <.001 |
| Alcohol use disorder | 3.2 (3.1-3.2) | <.001 |
| Drug use disorder | 1.8 (1.8-1.9) | <.001 |
| Personality disorder | 1.0 (1.0-1.0) | .03 |
Abbreviations: OR, odds ratio; CI, confidence interval; OEF/OIF, Operation Enduring Freedom/Operation Iraqi Freedom; NA, not applicable; PTSD, post-traumatic stress disorder.
Among veterans for whom nicotine dependence diagnosis was documented in administrative records of the US Department of Veterans Affairs (VA) health system.
Veterans with nicotine dependence represent 14.9% of all VA health system users (N = 5,031,381).
Calculated by using the χ2 test.
OR for age represents odds with every increase of 10 years.
Excludes PTSD.
Association of Demographic Characteristics, Health Service Use, and Mental Health Diagnoses With Nicotine Dependence Among Subpopulations of Veterans (n = 749,353),
| Characteristic/Use/Diagnosis | Likelihood of Nicotine Dependence Diagnosis | |||
|---|---|---|---|---|
| Homeless Veterans, OR (95% CI) (n = 47,252) | OEF/OIF Veterans, OR (95% CI) (n = 30,297) | |||
| Female | 1 [Reference] | NA | 1 [Reference] | NA |
| Male | 1.2 (1.1-1.2) | <.001 | 1.4 (1.3-1.4) | <.001 |
| Other war eras | 1 [Reference] | NA | 1 [Reference] | NA |
| OEF/OIF | 0.8 (0.7-0.8) | <.001 | NA | NC |
| Not homeless | NA | NC | 1 [Reference] | NA |
| Homeless | NA | NC | 1.3 (1.2-1.4) | <.001 |
| 1.0 (1.0-1.0) | .24 | 1.0 (1.0-1.0) | <.001 | |
| Other | 1 [Reference] | NA | 1 [Reference] | NA |
| White/unknown | 1.2 (0.9-1.7) | .22 | 0.6 (0.1-4.5) | .59 |
| Black | 1.2 (0.8-1.6) | .41 | 0.5 (0.1-4.3) | .57 |
| Hispanic | 0.9 (0.6-1.2) | .36 | 0.3 (0.0-2.3) | .25 |
| Urban | 1 [Reference] | NA | 1 [Reference] | NA |
| Large rural | 1.2 (1.1-1.2) | <.001 | 1.4 (1.4-1.5) | <.001 |
| Small rural | 1.2 (1.1-1.3) | <.001 | 1.5 (1.5-1.6) | <.001 |
| Isolated rural | 1.1 (1.0-1.2) | .01 | 1.5 (1.5-1.6) | <.001 |
| <7,000 | 1 [Reference] | NA | 1 [Reference] | NA |
| 7,000-14,999 | 1.1 (1.1-1.1) | <.001 | 1.1 (1.1-1.2) | <.001 |
| 15,000-24,999 | 1.0 (1.0-1.1) | .66 | 1.1 (1.0-1.1) | <.001 |
| ≥25,000 | 1.0 (0.9 (1.0) | .28 | 1.0 (1.0-1.0) | .99 |
| Not service-connected | 1 [Reference] | NA | 1 [Reference] | NA |
| Service-connected, <50% disabled | 0.9 (0.9-1.0) | .004 | 1.0 (0.9-1.0) | .004 |
| Service-connected, ≥50% disabled | 1.0 (0.9-1.0) | .12 | 0.9 (0.9-0.9) | <.001 |
| None | 1 [Reference] | NA | 1 [Reference] | NA |
| Any | 1.1 (1.0-1.1) | .01 | 1.3 (1.2-1.3) | <.001 |
| Not having the diagnosis | 1 [Reference] | NA | 1 [Reference] | NA |
| Dementia | 0.7 (0.5-0.8) | <.001 | 0.9 (0.4-1.9) | .77 |
| Schizophrenia | 1.3 (1.2-1.3) | <.001 | 1.2 (1.0-1.4) | .01 |
| Bipolar disorder | 1.1 (1.1-1.2) | <.001 | 1.3 (1.2-1.4) | <.001 |
| Major depression | 1.2 (1.1-1.2) | <.001 | 1.0 (1.0-1.1) | .06 |
| Anxiety disorder | 1.1 (1.1-1.2) | <.001 | 1.3 (1.2-1.3) | <.001 |
| PTSD | 1.2 (1.1-1.2) | <.001 | 1.3 (1.3-1.4) | <.001 |
| Alcohol use disorder | 2.1 (2.0-2.1) | <.001 | 2.3 (2.2-2.4) | <.001 |
| Drug use disorder | 1.9 (1.9-2.0) | <.001 | 2.0 (1.9-2.1) | <.001 |
| Personality disorder | 1.1 (1.0-1.1) | .02 | 1.1 (1.0-1.3) | .01 |
Abbreviations: OR, odds ratio; CI, confidence interval; OEF/OIF, Operation Enduring Freedom/Operation Iraqi Freedom; NA, not applicable; NC, not calculated; PTSD, post-traumatic stress disorder.
Among veterans for whom nicotine dependence diagnosis was documented in administrative records of the US Department of Veterans Affairs (VA) health system.
Represents 39.3% of all homeless VA health system users (n = 120,234).
Calculated by using the χ2 test.
Represents 15.1% of all OEF/OIF VA health system users (n = 200,300).
OR for age represents odds with every increase of 10 years.
Excludes PTSD.