Health-related characteristics and dietary intakes of male veterans and non-veterans in the Multiethnic Cohort Study (US)

By Laurence N Kolonel , John F Potter , Kangmin Zhu and Song Yi Park In   Issue Volume 19 No. 2 .

Background: Nationwide surveys in the United States found that certain health-related factors, in particular cigarette smoking and obesity, were more prevalent in veterans than in non-veterans.
Purpose: The objective of this paper was to compare health-related characteristics and dietary intakes between veterans and non-veterans in the Multiethnic Cohort.
Materials and Methods: The cohort participants (aged 45-75 years), residing in Hawaii and California at baseline, completed a mailed questionnaire on diet, medical history, and lifestyle in 1993-1996. The current analyses included 20,939 men (14,975 veterans and 5,964 non-veterans) who returned a survey questionnaire on military service in 2007. Results: Compared to non-veterans, veterans were more likely to be overweight and obese (BMI≥25, 61% vs. 55%), former smokers (54% vs.47%), heavier consumers of red and processed meat, and lighter consumers of fruits and vegetables. Within the veteran group, enlisted men were more likely to be obese, to have a history of smoking, to consume more processed meat and to consume smaller amounts of dairy products and fruits than officers.
Conclusion: The findings imply that veterans as a group are at somewhat higher risk of developing lifestyle-related chronic diseases than are non-veterans. Comparisons of actual differences in disease incidence and mortality in the Multiethnic Cohort between veterans and non-veterans will require several more years of follow-up.

Military veterans constitute approximately 13% of the total population aged 18 or older in the United States (1). Although military populations may differ from the general population in certain disease risks due to service-related exposure to health hazards and intense and stressful environments (2), overall, active duty military populations are likely to be healthier than other populations because of physical screening prior to entry into military service and better access to health care (3). This is reflected in data showing that mortality among military populations was 10% to 25% lower than in the general population. However, this “healthy soldier” effect may be attenuated as they age. Indeed, in a national survey in the U.S., older veterans had a slightly higher mortality rate than their non-veteran counterparts (4).
Nationwide and statewide surveys in the U.S. found that certain health-related factors, in particular cigarette smoking and obesity, were more prevalent in veterans than in non-veterans (5-8). However, information on the dietary intakes of veterans, another important determinant of health status, is very limited. With data from the Multiethnic Cohort Study, which was initiated to investigate diet and cancer in Hawaii and California, we recently conducted a special survey to obtain information on the military backgrounds  of male participants. The objective of this paper is to compare health-related characteristics and dietary intakes between veterans (both officers and enlisted men) in the cohort.
Materials and methods
Study Population
The Multiethnic Cohort is comprised of more than 215,000 men and women living in Hawaii and California who completed a mailed baseline questionnaire on diet, medical history and lifestyle in 1993-1996 (9). Sampling for the study was based primarily on the drivers’ license files in both states and additionally on the voters’ registration file in Hawaii and the Health Care Financing Administration files in California, and these yielded a highly representative group for the study (9). The participants were mostly African Americans, native Hawaiians, Japanese Americans, Latinos and Whites, aged 45-75 years when they entered the cohort. Follow-up of the cohort includes active contact with the participants by annual newsletters and five-year follow-up questionnaires, as well as annual computer linkages of the cohort to population-based tumour registries and death certificate files in Hawaii and California and to the U.S. National Death Index. Out-migration from the study areas is low (3.7% after 7 years of follow-up). The study was approved by the review boards of the University of Hawaii, the University of Southern California, and the Uniformed Services University of the Health Sciences.
In 2007, a one-page survey was mailed to living male participants (n=77,258) in the Multiethnic Cohort. The survey included questions on military background, such as ever serving in the U.S. Military, the service branch, length of active duty, and job category. A total of 21,472 men (28%) returned the questionnaire. Compared to non-respondents, respondents were more likely to be younger (58.1 vs. 59.1 years), to be from Hawaii rather than California (65% vs. 47%), and to be more educated (college graduate and higher, 44% vs. 26%). For the current analyses, we excluded participants who reported implausible dietary intakes on the baseline questionnaire (n=533). Therefore, 20,939 male participants were included in the analyses.

Respondents were divided into veterans and non-veterans based on the answer (yes or no) to the question, “Have you ever served in the U.S. Military?” Veterans were also subdivided into enlisted men and officers according to their main or longest-held grade. Socio-demographic characteristics, health-related characteristics and dietary intake at baseline were compared between veterans and non-veterans and between enlisted men and officers. Body mass index (BMI, kg/m2) was calculated from self-reported height and weight on the baseline questionnaire. Smoking status, vitamin and mineral supplement use, and physical activity were also obtained. Heavy drinkers were defined as those who had consumed 2 drinks or more per day, based on the  criteria of the U.S. National Institute of Alcohol Abuse and Alcoholism (10). The baseline questionnaire included an extensive quantitative food frequency questionnaire (QFFQ) with over 180 items. The QFFQ was validated by a calibration study which showed satisfactory correlations between energy-adjusted daily nutrient intakes from the QFFQ and three 24-hour recalls (11). Energy, nutrient, and food group intakes were calculated from the QFFQ using the food composition table that has been developed and maintained at the Cancer Research Center of Hawaii for use in the Multiethnic Cohort Study.

Data Analysis
Descriptive statistics were used to compare selected socio-demographic characteristics between veterans and non-veterans, and between enlisted men and officers. Because the age and race/ethnicity distribution differed between veterans and non-veterans, comparisons for health-related characteristics and dietary intake were conducted using the general linear model procedure and least square means to control for age and race/ethnicity. Food group and nutrient intakes were adjusted for energy intake in addition to age and race/ethnicity. Other potential confounding variables, including education as a measure of socioeconomic status, were also considered. However, none of these variables had a substantial effect on the results, and thus were not included in the final models. Significant differences in proportions and means between comparison groups were determined using the chi-square and t-tests, respectively. A conservative significance level of p<0.0001 was selected as an indicator of statistically significant differences to compensate for the large sample size. All analyses were performed using SAS software, version 9.1 (SAS Institute, Cary, N. Carolina).

Out of 20,939 respondents, 14,975 (72%) were veterans and 5,964 (28%) were non-veterans. We performed a telephone survey of non-respondents using an ethnic-stratified random sample of 125 men. Since only 57% of them identified themselves as veterans, our study sample in the analysis is likely to over-represent veterans in the cohort. Table 1 summarizes age, race/ethnicity, marital status and education of veterans and non-veterans in the cohort. Veterans were likely to be older (mean age = 58.9 years) than were non-veterans (56.1 years) at baseline. The veteran group had higher proportions of African Americans and Japanese Americans, and fewer Latinos compared to the non-veteran group. Among veterans, the officer group included higher proportions of Whites, Hawaii residents, and college graduates than did the enlisted group. Several health-related characteristics of the participants are compared in Table 2. Compared to non-veterans, more veterans tended to be overweight (25≤BMI<30 kg/m2, 46% vs. 42%) or to be obese (BMI≥30 kg/m2, 15% vs. 14%) and to have  smoked at some stage (68% vs. 60%). Furthermore, veterans who  had a history of smoking  had a greater lifetime exposure (19.1 pack years) than did non-veterans (17.2 pack years). Veterans were also more likely to be heavy alcohol drinkers (18% vs. 16%), although the difference was only suggestive. There was no statistically significant difference in vitamin and mineral supplement use and in vigorous physical activity between the two groups. Among veterans, enlisted men were more likely to be obese (15% vs. 12%) and to have smoked at some time (70% vs. 57%) than were officers.
Comparing food group intakes, veterans consumed more red meat and processed meat, but fewer  fruits and vegetables than did non-veterans (Table 3). As expected from the food group patterns, veterans had lower intakes of vitamins and dietary fibre  and a higher intake of total fat  as a percentage of energy than did non-veterans. Within the veteran group, enlisted men consumed more processed meat and fewer quantities  of dairy products and fruit juice; they also had lower intakes of calcium and vitamins than did the officers.
In general, in the Multiethnic Cohort, health indicators were poorer in veterans than non-veterans, and among veterans, were poorer for enlisted men than for officers. Specifically, veteran men were somewhat more likely to be overweight/obese, former smokers, heavier consumers of red and processed meat, and lighter consumers of fruits and vegetables on average compared to non-veterans. Among veterans, a higher proportion of men who were enlisted when they served in the military tended to be obese, to be smokers, and to consume more processed meat and fewer  dairy products and fruits than those who were officers.  Several reports from the Behavioral Risk Factor Surveillance System (BRFSS), a cross-sectional telephone survey of the civilian, noninstitutionalised adult population over the age of 18 years, has  examined the prevalence of those considered overweight or obese  among U.S. veterans compared with the general U.S. population. In a report based on the year 2000 BRFSS survey, the authors found that veterans tended to be overweight (8) and male veterans particularly were somewhat more likely to be obese (12), which is consistent with the present study results. Similarly, based on the 2003 BRFSS, veterans who received care at the U.S. Department of Veterans Affairs (VA) facilities had higher rates of being overweight or obese  than the general population (5). In contrast, a report based on the 2004 BRFSS found a similar prevalence of these conditions among U.S. veterans and the general U.S. population (13). An analysis combining the 2003 and 2004 BRFSS showed that being overweight was more frequent in veterans than in non-veterans but obesity prevalence was similar between the two groups (14). Since our data were collected in the mid 1990’s, they may be more comparable to the earlier BRFSS surveys. The more recent increase in the prevalence of being overweight and of obesity in the U.S. population generally and/or the VA weight control campaign (15) may have obliterated differences between veterans and non-veterans. In the current study, only weight and height information was available, and thus, body fat distribution and muscle content could not be compared between veterans and non-veterans. However, the Multiethnic Cohort Study recently collected waist and hip circumferences in a follow-up survey, which should enable us to examine central adiposity as a risk factor for disease in the future. One limitation of the BMI as a measure of adiposity is its lack of specificity,  since greater muscle mass will also result in a higher BMI.  Several studies in the U.S. have reported that the prevalence of smoking is higher in veterans than in non-veterans (5, 6, 12, 13, 16, 17), as shown also in our study. Koepsell et al. (7) speculated that young men who are already smokers may be more likely to enter the military services, or that military life may initiate tobacco use. However, we did not have information on the starting age of  smoking, and thus cannot address this issue. The U.S. Department of Defense reported that the prevalence of cigarette smoking was higher in enlisted men than in officers in the Survey of Health Related Behaviors Among Active Duty Military Personnel (18) as well as in the more recent Millennium Cohort Study (19), which is consistent with our finding that the proportion of  smokers (at any time) was higher in enlisted men than in officers. Several factors may affect the smoking prevalence in the U.S. military, such as the lower cost of cigarettes and the stresses associated with military life that may increase smoking prevalence, and the anti-smoking policy of the U.S. Department of Defense for health promotion in the military  may decrease smoking prevalence. The suggestions of a higher proportion of heavy drinkers among veterans in this study, though not statistically significant, is also consistent with findings from a survey using nationally representative samples that reported more frequent daily or almost daily alcohol use in veterans than in non-veterans (20).
With regard to diet, we found that veterans consumed fewer  fruits and vegetables than non-veterans. The 2003 BRFSS (5) also reported that veterans were less likely to eat the recommended daily number of fruits and vegetables (≥5 servings/day). In the current study, total fat intake in both veterans (30%) and non-veterans (29%) groups was within the recommended range, 20 to 35% of total energy intake (21). The daily calcium intake of both groups was lower than the recommended intake for U.S. adult men (1,000 mg/day for 31-70 years) (22) probably because of their low consumption of milk and dairy products. Overall, our study showed fairly consistent results with previous studies on health-related behaviors of veterans and non-veterans, and provides additional information on their usual dietary intake. To our knowledge, this is the first study to compare usual nutrient intake between veterans and non-veterans, using a comprehensive validated food frequency questionnaire.
This study also had several limitations. The survey to identify military veterans in the Multiethnic Cohort was conducted in 2007, more than 10 years after cohort entry, which necessarily restricted participation to those who were alive at that time. Therefore, the population for this analysis may have been healthier than the full cohort at baseline, which was when the exposure variables were collected. Unfortunately, the overall response rate to the survey was not high (28%). When we contacted a random sample of non-respondents to the veterans’ survey, we found that 57% of the sample were veterans, whereas 72% of our respondents identified themselves as veterans. This indicates some selection bias in the survey, with over-representation of veterans. Although the study population was limited to residents living in Hawaii and California, the participants comprised a reasonably representative sample of the general population as evidenced by comparisons with U.S. census data (9). Nevertheless, the findings may not  apply  to the entire U.S. veteran population. In addition, all information, including weight and height, was based on self-report and was obtained only at one time, at cohort entry, and, though it seems unlikely, we cannot confirm  the reliability of the data  being similar for veterans and non-veterans. Although time since the end of military service  might affect health-related characteristics of veterans, no information on this was available. Because veterans in this study were defined as persons who had ever served in the U.S. military, they might be a rather heterogeneous group in terms of length of service, service branch, active duty/reserves, and so on, compared to a veterans group more strictly defined. The multiple comparisons in our analysis would have increased the probability of a type I error, though we used a conservative significance level of p<0.0001. Finally, because this special survey was only completed recently, comparisons of actual disease incidence and mortality between veterans and non-veterans will require several more years of follow-up. Indeed,  Zhu et al. (23) reported that cancer incidence patterns were different between the U.S. military and the general population, with incidence rates of some sites being higher and that of other sites lower in the  restricted  population (23). The authors speculated that these differences may be related to access to medical care and cancer screening services, in addition to lifestyle factors.
In summary, veteran men in the Multiethnic Cohort were more likely to be overweight or obese, to have smoked at some stage, they were heavier consumers of red and processed meat and lighter consumers of fruits and vegetables on average compared to non-veterans, and that these differences were more extreme for enlisted men than for  officers. Veterans’ health-related characteristics and dietary intakes indicate that as a group, they had a somewhat less healthy lifestyle than did non-veterans, especially among the enlisted men, and thus presumably are at higher risk of subsequently developing chronic diseases such as diabetes, hypertension, cardiovascular diseases and certain types of cancers. Further study is warranted to investigate how the less healthy lifestyle of veterans affects their disease incidence in later life.


Acknowledgement This study was sponsored by the U.S. Military Cancer Institute via the Uniformed Services University of the Health Sciences under the auspices of the Henry M. Jackson Foundation for the Advancement of Military Medicine (DAMD 17-94-T-4184), and was also supported in part by a National Cancer Institute grant,  number R37 CA54281. The information or content and conclusions do not reflect the official views of the Uniformed Services University of the Health Sciences, the Department of Defense, or of the U.S. Government


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