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. Author manuscript; available in PMC: 2019 May 1.
Published in final edited form as: Health Psychol. 2018 May;37(5):407–416. doi: 10.1037/hea0000593

Association between Posttraumatic Stress Disorder and lack of exercise, poor diet, obesity and co-occuring smoking: A Systematic Review and Meta-analysis

Carissa van den Berk-Clark 1, Scott Secrest 1, Jesse Walls 1, Ellen Hallberg 1, Patrick J Lustman 2,3, F David Schneider 1, Jeffrey F Scherrer 1
PMCID: PMC5922789  NIHMSID: NIHMS958646  PMID: 29698016

Abstract

Objectives

Research has shown that posttraumatic stress disorder (PTSD) increases the risk of development of cardiometabolic disease (CMD) including cardiovascular disease and diabetes. Whether PTSD is also associated with behavioral risk factors (e.g. diet, exercise, smoking and obesity) for CMD, is less clear.

Methods

PubMed, Web of Science and Scopus databases were searched to obtain papers published between 1980 – 2016. Studies were reviewed for quality using the Quality of Cohort (Q-Col) screen. Significance values, odds ratios (OR), 95% confidence intervals (CI) and tests of homogeneity of variance were calculated.

Principal Findings

A total of 1349 studies were identified from our search and 29 studies met all eligibility criteria. Individuals with PTSD were 5% less likely to have healthy diets (pooled adjusted OR=0.95; 95%CI: 0.92, 0.98), 9% less likely to engage in physical activity (pooled adjusted OR=0.91; 95%CI: 0.88, 0.93), 31% more likely to be obese (pooled adjusted OR=1.31; 95%CI:1.25, 1.38) and about 22% more likely to be current smokers (pooled adjusted OR=1.22; 95%CI: 1.19, 1.26), than individuals without PTSD.

Conclusions

Evidence shows PTSD is associated with reduced healthy eating and physical activity, and increased obesity and smoking. The well-established association between PTSD and metabolic and cardiovascular disease may be partly due to poor diet, sedentary lifestyle, high prevalence of obesity and co-occurring smoking in this population. The well-established association of PTSD with CMD is likely due in part to poor health behaviors in this patient population.

Keywords: PTSD, diet, exercise, smoking, cardiometabolic disease

INTRODUCTION

Patients with posttraumatic stress disorder (PTSD) are known to have a greater risk of cardiovascular and metabolic disease, compared to persons without PTSD (Coughlin, 2013). The mechanisms responsible for the increased risk of cardiometabolic disease (CMD) in PTSD are complex and multifactorial and include hypothalamic-pituitary-adrenal (HPA) axis dysregulation, increased inflammation, autonomic nervous system dysfunction (Cohen, Marmar, Ren, Bertenthal, & Seal, 2009; Scherrer et al., 2007; Schnurr, In Press), comorbid psychiatric disorders such as depression and alcohol abuse/dependence (Pietrzak, Goldstein, Southwick, & Grant, 2011; Whooley et al., 2008) and poor health behaviors such as increased caloric intake, sedentary lifestyle and smoking (Pietrzak, et al., 2011; Zen, Whooley, Zhao, & Cohen, 2012). Relative to the large literature on HPA axis dysregulation and psychiatric comorbidity, there is less research on PTSD and poor health behaviors. A better understanding of the strength of the prevalence of these poor health behaviors in PTSD and their contribution to the risk of CMD development is important as these behaviors are modifiable and improvement may prevent development or slow progression of CMD in persons with PTSD.

Several systematic reviews and meta-analysis of PTSD and comorbid psychiatric and substance use disorders exist (Atwoli, Stein, Koenen, & McLaughlin, 2015), as well as similar studies of PTSD and cardiovascular and metabolic disease. However, we are not aware of systematic reviews and meta-analysis of the association between PTSD and poor health behaviors that are typically associated with diabetes and cardiovascular disease. To fill this gap in the literature, we conducted a systematic review and meta-analysis of the literature on the association between PTSD and diet, exercise, obesity and co-occurring smoking.

METHODS

We conducted a systematic literature review to identify publications reporting on the association between PTSD and health behaviors. Health behaviors included diet, exercise, obesity and smoking.

We first searched for existing reviews of PTSD and metabolic or cardiovascular disease. We then searched for literature published between 1980 and 2016 in four databases (PubMed, Web of Science, PsycInfo and Scopus). We used the following search terms: “posttraumatic stress disorder,” “acute reaction to stress”, “combat” and “domestic violence.” We also filtered for “health behavior”, “self-care”, “physical fitness”, “exercise,” “nutrition, “fitness,” “diet,” “obesity,” “Body Mass Index (BMI),” “social determinants of health,” “abnormal ekg,” “cardiovascular” and “chronic disease.” For inclusion, studies needed to be from peer reviewed publications, include adult populations (18 or older), published between 1980 and 2016, involve human subjects (no animals) and be published in an English-language journal. Citations of review articles uncovered through the database search were also included in this review.

Five of the authors reviewed titles and abstracts to confirm eligibility criteria. Articles were excluded if they were guidelines, theoretical or review papers or did not include measures of PTSD and one of the health behaviors (i.e. diet, exercise, obesity and smoking). Articles that met eligibility criteria were then subjected to a full-text screening by four of the investigators (CVB-C, JW, SS, JFS). At the full-text screening, four investigators independently reviewed the full text of each article for inclusion and a subset of full text reviews were examined again by another reader to ensure consistency in rating content and quality. At this stage, we excluded papers that focused exclusively on PTSD and smoking due to several existing systematic reviews of this topic. Smoking was included in this analysis if it was included as a covariate in papers that reported on diet, exercise and obesity. We used the Quality of Cohort studies (Q-Col) screen of methodology quality to identify studies which could bias the meta-analysis (Jarde, Losilla, Vives, & Rodrigo, 2013). The Q-Col screen was specifically developed for observation studies and, unlike many other instruments, uses more rigorous procedures to assess methodological quality, including use of standard psychometric techniques. The Q-col has also shown to have moderate to good agreement among multiple raters. Q-Col scores range from 0 to 33. Examining the distribution of Q-Col scores and the quality of papers with low scores indicated a logical threshold for inclusion was a Q-Col >20.

Odds ratios and 95% confidence intervals (CI) were computed to estimate the association between PTSD and each health behavior. We constructed a forest plot to show the range of different odds ratios for each of the health behaviors in order by size of sample. We utilized recommendations of Chang & Hoaglin (2017) to determine heterogeneity using log ratios through Stata user-written code “METAN” which determined pooled odds ratios and heterogeneity (i2) using odds ratios combined with upper and lower 95% CI (Harris et al., 2010) from calculations provided in the Cochrane Collaboration handbook. Publication sampling bias was measured using Rosenthal’s (1979) “File Drawer” method, which calculates what number of hypothetical studies are needed to null results of published studies. The formula is as follows: Nfs=(N0/Z2c)(N0 2 – Z2c), where N0 is the number of studies, Zc is the critical value of z, and is the mean Z obtained for N0 studies.

RESULTS

We identified 1349 citations from all sources. As shown in Figure 1, after removing duplicates and articles that were clearly irrelevant (n=1145), we reviewed the full text of 204 articles. Of these, 175 were excluded at the full text screening stage, leaving a total of 29 articles. The majority of studies tested the relationship between PTSD and BMI or weight gain (22 studies) (Boscarino, 2008; Boscarino & Chang, 1999; Chwastiak, Rosenheck, & Kazis, 2011; Cohen, et al., 2009; S. S. Coughlin, 2011; Dedert et al., 2010; Farr et al., 2015; Godfrey, Lindamer, Mostoufi, & Afari, 2013; Goldberg et al., 2014; Hirth et al., 2011; Jin et al., 2009; Kozaric-Kovacic et al., 2009; Kubzansky et al., 2014; Leardmann et al., 2011; Littman, Jacobson, Boyko, Powell, & Smith, 2013; Maia et al., 2008; Mitchell et al., 2013; Pagoto et al., 2012; Scott et al., 2013; Smith, Tyzik, Neylan, & Cohen, 2015; Spitzer et al., 2009; Sumner et al., 2015; Talbot, Neylan, Metzler, & Cohen, 2014). The associations between PTSD and smoking were available in 13 studies (Boscarino, 2008; Boscarino & Chang, 1999; Chwastiak, et al., 2011; Cohen, et al., 2009; Farr, et al., 2015; Goldberg, et al., 2014; Kozaric-Kovacic, et al., 2009; Kubzansky, et al., 2014; Leardmann et al., 2011; Roberts et al., 2015; Spitzer, et al., 2009; Sumner, et al., 2015; Talbot, et al., 2014; Zen, et al., 2012), and associations with physical exercise in 13 studies,(Chwastiak, et al., 2011; de Assis et al., 2008; Farr, et al., 2015; Godfrey, et al., 2013; Goldberg, et al., 2014; Kozaric-Kovacic, et al., 2009; Leardmann et al., 2011; Maguen et al., 2016; Roberts, et al., 2015; Sumner, et al., 2015; Talbot, et al., 2014; Van Zelst, De Beurs, Beekman, Van Dyck, & Deeg, 2006; Zen, et al., 2012) and diet in four studies (Godfrey, et al., 2013; Hirth et al., 2011; Roberts, et al., 2015; Sumner, et al., 2015) (See Table 1). As shown in Table 1, ten studies utilized a longitudinal design and 18 studies had a sample size of 1000 or more. Fifteen studies had a quality score over 27 (meaning we determined that the study satisfied most of the Q-col screening measures), which had a mean sample size of 64,058 (See Supplementary Table 2 for more information about study quality).

Figure 1.

Figure 1

PRISMA Flow Diagram

Table 1.

Study Characteristics

Study Sample Size Sample Dates Average Age % Male Outcomes
Boscarino & Chang 4462 Vietnam era service members 1985–2000 37.9 100 BMI, cigarette pack years, drinks per month
Boscarino, 2008 18581 Vietnam era service members 1985–2000 37.9 100 BMI, cigarette pack years
Chwastiak et al., 2010 559985 VA enrollees 1999, 2008 64.1 95.9 all-cause mortality
Chwastiak et al., 2011 501161 VA enrollees 1999 64.1 95.9 Physical activity, BMI, smoking, alone and in combination
Cohen et al., 2009 2677311 OEF/OIF VA enrollees 2008 31.0 88.0 BMI, smoking
Coughlin et al., 2011 9970 Gulf VA enrollees 2003–2005 47.6 78.0 BMI
De Assis et al., 2008 50 Psychiatric Patients with PTSD 2008 40.1 32.0 Physical activity
Dedert et al., 2010 148 Community hospitals via flyer 2001–2005 39.9 0.0 BMI
Farr et al., 2015 158 Greater Boston area via flyer 2013 45.7 47.5 Physical activity, BMI, smoking, alcohol use
Godfrey et al., 2013 80 San Diego area via flyer 2012 40.0 55.0 Physical activity, unhealthy eating, BMI
Goldberg et al., 2014 5574 Vietnam era VA enrollees 2010–2012 61.0 100.0 Physical activity, BMI, smoking
Hirth et al., 2011 3181 Safety net health center 2010 20.8 0.0 BMI, diet
Jin et al., 2009 203 Psychiatric patients 2008 65.9 67.0 BMI
Kozaric et al., 2009 2031 Croatian war veterans with psychiatric diagnosis 2005–2008 41.4 100.0 Physical activity, BMI
Kubzansky et al., 2009 50504 US nurses 1989–2005 34.0 0.0 BMI, smoking status
Leardmann et al., 2001 38883 OI/OEF service members 2001–2006 40.0 77.0 BMI, physical activity, smoking status
Littman et al., 2013 38686 OI/OEF service members 2001–2006 37.9 75.0 Weight gain
Maguen et al., 2016 24899 VA enrollees 2008–2013 38.0 79.0 Involvement in exercise program
Maia et al., 2008 118 Police officers 2004 33.0 100.0 BMI, smoking
Mitchell et al., 2013 463 African Americans in Detroit 2008 56.7 37.0 BMI
Pagoto et al., 2012 20013 US General population 2001–2003 44.9 47.0 BMI
Roberts et al., 2014 49739 US nurses 1989–2005 34.0 0.0 Physical activity, healthy eating, smoking
Scott et al., 2008 12992 New Zealand general population 2003–2004 44.0 48.0 BMI
Smith et al., 2015 735 VA enrollees 2008–2010 24.0 42.0 BMI
Spitzer et al., 2009 3171 German medical centers (2) 1997–2001 47.0 49.0 BMI, smoking, heart failure
Sumner et al., 2015 49978 US nurses 1989–2005 34.0 0.0 Physical activity, healthy eating, BMI, smoking, CVD risk
Talbot et al., 2014 736 VA enrollees 2008–2010 58.0 94.0 Physical activity, BMI, smoking
Van Zelst et al., 2006 1721 Community based elderly 1998–1999 72.4 43.1 Physical activity
Zen et al., 2012 1022 Patients with CVD 200–2002 63.0 82.0 Physical activity, smoking

A total of 18 studies utilized survey data, 12 studies utilized either medical record or administrative data and two studies used secondary data from a clinical trial. The earliest studies used data from the late 1980s and the most recent used data from 2013. A total of 1,666,555 participants were included in these studies. Participants were mostly from community samples (9 studies) and veteran samples (10 studies). There were also four studies (Dedert, et al., 2010; Hirth et al., 2011; Spitzer, et al., 2009; Zen, et al., 2012) which used a primary care/health center sample, two studies (de Assis, et al., 2008; Jin, et al., 2009) which used clinical (inpatient psychiatric) samples and five studies (Boscarino, 2008; Boscarino & Chang, 1999; Leardmann et al., 2011; Littman, et al., 2013; Maia, et al., 2008) which used military service members or police officers. Mean age of participants in all studies was 44.43 (range 21 to 72) and about 82% of pooled participants were male. Of the 28 studies with racial information, 84% of the pooled sample was White. Twelve percent of participants were diagnosed with PTSD in the 23 pooled studies reporting the prevalence of PTSD diagnosis and 29% were obese in 8 pooled studies reporting overall rates of obesity.

Heterogeneity across studies was high, with i2 of 91.3% BMI, 97.1% physical activity, 96.0% for diet and 99.5% for smoking. However, it was lower within specific populations (See Supplemental Table 3). For example, when it came to physical activity, heterogeneity was lower when comparing studies of general population/community samples (i2=12.8%) and individuals at certain age groups (60s and over i2=65.0%). Studies measuring likelihood of obesity showed lower homogeneity among military populations and police (i2=0.0%), individuals at certain age groups (40s/50s i2=42.5%, 60s and over i2=0.0%) and samples that were mostly female (i2=0.0%). There was lower heterogeneity in studies of smokers in the general population/community (i2=75.9%), primary care/hospital (i2=1.8%), individuals over the age of 60 (i2=60.0%) and samples that were mostly female (i2=68.8%). Higher effect sizes were observed in studies with small sample sizes (See Tables 2 through 5), which may show an effect of missing studies. Nevertheless, fail safe Ns were 4.1, 39.0, 155.7 and 172.1 for unadjusted diet, physical activity, obesity and smoking, respectively. For adjusted, fail safe Ns were substantially low as adjusted exercise had only four studies (Fail Safe N=5.2) and adjusted obesity had only five studies (Fail Safe N=33.6).

Table 2.

The effect of PTSD on diet

graphic file with name nihms958646f2.jpg

Table 5.

The effect of PTSD on smoking

graphic file with name nihms958646f5.jpg

Diet and Exercise

A total of 14 studies assessed the association between PTSD and diet or exercise (Table 2). Diet was measured according to self-reports using the alternative healthy eating index in two studies, by the total self-reported consumption of fruits, vegetables, soda, caffeinated beverages per day in the third study, and by self-reported consumption of fast food in the fourth study (See Supplemental Table 4). Physical exercise was self-reported except for one study by Maguen et al. (2016) which used Veterans Affairs (VA) medical records. Physical activity either was tracked by the amount of physical activity in a week (9 studies) or month (1 study), or by presence of physical activity more generally (2 studies).

The association between PTSD and healthy diet was examined in four studies (Godfrey, et al., 2013; Hirth et al., 2011; Roberts, et al., 2015; Sumner, et al., 2015). All four studies showed significant differences between PTSD and non-PTSD groups in unadjusted models (pooled unadjusted OR=1.25; 95%CI: 1.20, 1.30) (See Table 2). A study by Hirth et al. (2011), which adjusted for demographics and BMI, however, showed that individuals with PTSD were less likely to avoid consumption of fast food (past week) (OR=0.95; 95%CI: 0.92, 0.98).

Of these 12 studies examining physical activity, six reported no significant association between PTSD and physical activity (See Table 3). Among studies reporting a significant association, one longitudinal study by Talbot et al. (2014) revealed a significant reduction in physical activity one year after a PTSD diagnosis (β=-.113, p<.05), compared to patients with no PTSD diagnosis. Three of the 12 studies adjusted for confounders such as age, gender, chronic disease, mental health factors and marital status. Chwastiak et al. (2011) reported PTSD was associated with lower odds of physical activity in unadjusted models (OR=0.62; 95%CI 0.59, 0.61). This association remained significant (OR=0.94; 95%CI: 0.89, 0.92) after adjusting for age, gender, education, race, service connection, medical comorbidity, alcohol and drug abuse or dependence, schizophrenia, bipolar and manic depression. Leardmann et al. (2011) showed similar results with a sample of veterans’ (adjusted OR=0.71 95%CI 0.60, 0.84). Maguen et al., (2016) (not in Table 3) measured use of the Veterans Health Administration (VHA) weight loss program called “Move!” among patients with PTSD and found lower odds of Move! utilization by veterans (average age 38) with PTSD vs. those without in unadjusted (Predicted Probability=4.20, 95%CI 3.8, 4.5) and adjusted models (Predicted Probability=3.5, 95%CI 3.2, 3.9).

Table 3.

The effect of PTSD on physical activity

graphic file with name nihms958646f3.jpg

Note:

*

Dependent variable of all adjusted studies is physical activity. Odds ratio is related to positive outcomes, which include higher physical activity and a healthy diet.

When diet and physical activity were examined within different populations (See Supplemental Table 5), we found that populations who were in their 40s and 50s were least likely to engage in healthy eating (OR=0.33; 95%CI: 0.09 – 0.58) (Godfrey et al., 2013), while female populations in their twenties and thirties were more likely to engage in healthy eating (pooled OR=1.25; 95%CI: 1.20, 1.30) (Hirth et al., 2011; Roberts et al., 2014; Sumner et al., 2015), and clinical populations (inpatient psychiatric populations) with PTSD were least likely to engage in physical activity (OR=0.26; 95%CI: 0.01 – 0.52) (de Assis et al, 2008).

BMI and Obesity

A total of 21 studies assessed whether PTSD was associated with obesity (Table 3) and five additional studies assessed differences in BMI (these were not included in the table) (Farr, et al., 2015; Kubzansky, et al., 2014; Maia, et al., 2008; Spitzer, et al., 2009; Sumner, et al., 2015). Odds ratios ranged from 0.83 to 3.70 in unadjusted studies (pooled OR=1.58; 95%CI: 1.49, 1.67). When PTSD was adjusted for demographics (i.e., age, gender, education, race, income), military status (rank, branch, number of deployments, etc.), mental health (diagnosis and use of psychotropic medication and antipsychotics), substance use/dependence and physical activity, odds ratios ranged from 1.10 to 1.72 with a pooled OR of 1.31; 95%CI:1.25, 1.38. Studies which compared differences in BMI, rather than likelihood of obesity, however, showed that BMI rates were slightly higher among those with PTSD, but were not significantly different between PTSD and non-PTSD subjects, except for Dedert et al. (2010) (β=0.98, SD=0.49, p<.01).

PTSD was most strongly associated with obesity in persons 20–30 years old (pooled OR=2.04; 95%CI:1.88, 2.21) (See Supplemental Table 5). However, over 60 year old individuals were more likely to be obese (OR=2.90, 95%CI: 1.28–2.22) if they had current PTSD and OR=2.46 (95%CI:1.21–4.99) if they had a history of PTSD, than their non-PTSD peers in the same age group (See Smith et al., 2015). In addition, a study by Littman et al. (2013) showed that individuals with PTSD (who on average were 40 years old), gained more weight than individuals who did not have PTSD (OR=1.20; 95%CI: 0.89–1.61). Obesity also seemed to be a more significant issue among male samples (pooled OR=1.59 95%CI: 1.50, 1.68), than female samples (pooled OR=1.15 95%CI:1.09, 1.20). Nevertheless, several adjusted studies revealed that gender did moderate the association between obesity and PTSD. Cohen et al., (2009), which studied OEF/OIF VA enrollees, found, after controlling for demographics, military status and health utilization, that men and women with PTSD had a similar likelihood of obesity (OR men = 2.71, 95%CI: 2.52 – 5.61 and OR women 2.54, 95%CI 2.06, 2.29). Even so, Pagato et al. (2012) found women with PTSD were more likely to be obese than women without PTSD (OR=1.40, 95%CI 1.11, 1.76), after adjusting for demographics, alcohol/drug use, smoking, psychotropic medication use, depression and binge eating. Furthermore, Mitchell et al., (2013), a study of an African American intercity population, which also controlled for lifetime trauma, showed that the odds of being obese for women with PTSD was four times that of women without PTSD (OR=4.4, 95%CI 1.30, 14.30). In both studies, there were no significant differences in likelihood of obesity among men with PTSD and men without PTSD.

Smoking

Twelve studies examined differences in smoking among participants with and without PTSD (See Table 5). About 22% of study participants were current smokers and participants with PTSD were much more likely to smoke than participants without PTSD (36.1% vs. 19.9%; OR range: between 0.71 to 10.62). Only two of the 12 studies found no significant association between PTSD and current smoking (Talbot, et al., 2014 and Maia et al., 2008). Results from studies of PTSD and pack years were mixed. Boscarino et al. (2008; Boscarino & Chang, 1999) found no differences between military personnel with and without PTSD and pack years, while Zen et al., (2012) found PTSD was associated with significantly higher levels of cigarette pack years (β=6.4 pack years, 95%CI 1.80, 10.90). Likelihood of current smoking among male subjects with PTSD was highest among individuals in their twenties and thirties (pooled OR=2.36, 95%CI 2.31, 2.40) and lowest among females (pooled OR=1.35, 95%CI 1.29, 1.41).

Results of Subsample of High Quality (Q-col>27) and large sample studies

We scored eleven studies as “high quality” because they had a Q-col over 27 and a sample size ≥1000. In this group of studies, PTSD increases the likelihood of a healthier diet (pooled OR=1.27, 95%CI 1.22, 1.31 (i2=0%)) (Roberts, et al., 2015; Sumner, et al., 2015) and decreases the likelihood of physical activity (pooled unadjusted OR=0.68, 95%CI 0.66, 0.69 (i2=98.5%), adjusted OR=0.92, 95%CI 0.89, 0.95) (i2=67.3%) (Chwastiak et al., 2010; Koraric-Kovacic et al., 2009; Roberts et al., 2014; Sumner et al., 2015). Individuals with PTSD were also less likely to be involved in exercise programs (adjusted Predicted Probability=3.5, 95%CI 3.2, 3.9) (Maguen et al., 2016). In addition, PTSD increased the likelihood of obesity (pooled unadjusted OR=1.36, 95%CI 1.32, 1.41 (i2=96.1%), adjusted OR=1.11, 95%CI 1.08, 1.14 (i2=67.0%)) (Boscarino & Chang, 1999; Boscarino, 2008; Chwastiak et al., 2010; Koraric-Kovacic et al., 2009; Kubzansky et al., 2014; Pugoto et al., 2012; Scott et al., 2008; Smith et al., 2015) and individuals had an increased likelihood of gaining more weight (adjusted OR=1.20; 95%CI: 0.89–1.61) than those without PTSD (Littman et al., 2013). Finally, PTSD was associated with increased likelihood of smoking (pooled unadjusted OR=1.50, 95%CI 1.42, 1.58 (i2=99.3%), adjusted OR=1.22, 95%CI 1.19, 1.25 (i2=0%) (Chwastiak et al., 2010; Kubzansky et al., 2014; Roberts et al., 2014; Sumner et al., 2015). However, two studies by Boscarino and colleagues (1999 Boscarino and colleagues (2008) showed no differences in cigarette pack years among individuals with PTSD compared to individuals without.

DISCUSSION

The association between PTSD and diabetes and cardiovascular disease is well established (Coughlin, 2013). This association may be partly explained by poor health behaviors. To our knowledge, there have been no systematic reviews that evaluated the association between PTSD and multiple health behaviors that can increase risk for diabetes and cardiovascular disease. In the present review of the association between PTSD and diet, physical activity, obesity and smoking, we found that existing evidence supports the conclusion that patients with PTSD are more likely to exercise less, be obese and be current smokers. However, less consistent results were found when it came to determining the likelihood of eating a healthy diet.

The association between PTSD and obesity may be due to less physical activity. This is supported by the evidence that PTSD is linked to less physical activity (Chwastiak, et al., 2011) in one-half of the studies we examined, and reduced engagement in the VA’s MOVE! weight loss program among veterans with PTSD (Maguen, et al., 2016). However, diet may not play a significant role in the development of cardiovascular disease (CVD) or diabetes among individuals with PTSD. Our review of the literature only retrieved four studies of PTSD and diet. Two of the three studies indicated that PTSD was associated with a healthier diet in female health professionals (Roberts, et al., 2015; Sumner, et al., 2015), and one small study using a community and veteran sample and a larger study of females in a safety net clinic found a negative relationship (Godfrey, et al., 2013). The larger study had a very small effect size.

It is also clear that individuals with PTSD were more likely to have all three of the most consistent conditions (i.e., lack of physical activity, obesity and smoking) (Chwastiak, et al., 2011). In this way, it would appear that many poor health behaviors could be grouped together as potentially impulsive decisions that occur as a result of PTSD, which serve to reduce symptomology or to temporary feel better. According to Shipherd et al. (2014), as PTSD symptoms start to diminish, individuals will engage in fewer negative health behaviors, (like smoking, eating candy or sweets, driving over the speed limit, etc.) and fewer positive health behaviors (like going for walks, eating breakfast, exercise, etc.). As this study illustrates, which includes only treatment seeking women with PTSD, it remains uncertain whether health behaviors improve with reduction in PTSD symptoms since individuals likely vary in the ways in which they cope with PTSD symptoms. In other words, some healthy behaviors may be used to cope with increasing hyperarousal occurring as a result of PTSD, like taking walks or eating regular meals (See Harte, Vuganovic, & Potter, 2015), and these may occur at the same time as negative behaviors, like increased smoking (Vuganovic et al, 2013). Patients with PTSD may also adopt sedentary lifestyles partly from fear of exposures to environmental cues that elicit PTSD symptoms.

Even though the study of decision making about health behaviors as a result of PTSD is still in its infancy, the relation between PTSD and physical health is fairly well understood. Shipherd et al. (2014) found that change in PTSD accounted for 34% of variance in changes in physical health complaints over time. These physical health complaints likely have a greater effect on an individual’s ability to engage in physical activity, which is associated with obesity. Comorbid physical complaints and chronic pain is common among individuals with PTSD, and may lead to reduced physical activity, but may have less of an effect on diet. Comorbid pain and pain-related impairment and physical conditions has also been suggested as reasons for low participation in weight loss programs among veterans with PTSD (Maguen, et al., 2016; Vujanovic, et al., 2013).

In addition, individuals with PTSD might be at increased risk for weight gain because of co-occurring psychiatric disorders and stress. Atypical anti-psychotics are often prescribed to patients with PTSD which can lead to rapid weight gain (Roerig, Steffen, & Mitchell, 2011). Likewise, HPA disruption occurs in PTSD and has been shown to contribute to weight gain (Kubzansky, et al., 2014; Littman, et al., 2013; Miller, Chen, & Zhou, 2007), as well as diabetes and cardiovascular disease (Coughlin, 2011). Future studies are warranted to determine the relative contributions of physiological changes following PTSD, diet and comorbid psychiatric conditions to metabolic and cardiovascular disease in this patient population.

Individuals with PTSD smoke more than individuals without PTSD (Feldner, Babson, & Zvolensky, 2007). They also have a lower threshold of toleration for distress related to withdrawal (Beckham et al., 1996), and are more sensitive to trauma cues during withdrawal. Our metanalysis shows that individuals with PTSD are not only more likely to smoke but also tended to smoke more cigarettes for longer periods of time. For example, in the Zen (2012) study of San Francisco hospital and outpatient clinic patients with CVD, patients with PTSD had a mean cigarette pack/year rate of 27.3±22.0 and patients without PTSD had a mean cigarette pack/year rate of 19.9±21.0. These findings coincide with the numerous systematic reviews on PTSD and smoking.

There are several limitations of available literature in our systematic review. The majority of studies focused on white populations and eleven of the 27 studies used military samples. Other problems included inconsistent measures of diet and physical activity and use of self-report measures. Many of these self-report measures have a reasonable level of validity and reliability (Ainsworth, et al., 1993), but with the advent of technologies to track real-time movement, food intake and smoking, more rigorous and consistent measures of health behavior will soon be available. Furthermore, outcomes were not adjusted for confounders because measures of diet, obesity and smoking were often modeled as covariates. As a result, there was significant heterogeneity across different studies. Finally, even though more than one million individuals were participants in these studies, the vast majority of these individuals lived in the United States, were male and were White.

Conclusions

PTSD is associated with many poor health behaviors that contribute to metabolic and cardiovascular disease. While substantial evidence supports an association between PTSD, sedentary lifestyle, smoking and obesity, additional research is needed to determine if PTSD is associated with adopting a poor diet.

Supplementary Material

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Table 4.

The effect of PTSD on obesity

graphic file with name nihms958646f4.jpg

Note: 1. Just females, 2. Just males, 3. Just elderly population (over 60)

Acknowledgments

Funding: NHLBI R01HL125424

This work was supported in part by the National Heart, Lung and Blood Institute of the National Institutes of Health under award number R01HL125424. The consent is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Footnotes

Prior Presentations: None

Conflict of Interest: None

References

  1. Ainsworth BE, Jacobs DR, Leon AS. Validity and reliability of self-reported physical activity and status: the Lipid Research Clinics questionaire. Medicine and Science in Sports and Exercise. 1993;25(1):92–98. doi: 10.1249/00005768-199301000-00013. [DOI] [PubMed] [Google Scholar]
  2. Atwoli L, Stein DJ, Koenen KC, McLaughlin KA. Epidemiology of posttraumatic stress disorder: prevalence, correlates and consequences. Curr Opin Psychiatry. 2015;28(4):307–311. doi: 10.1097/yco.0000000000000167. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Beckham JC, Lytle BL, Vrana SR, Hertzberg MA, Feldman ME, Shipley RH. Smoking withdrawal symptoms in response to a trauma-related stressor among Vietnam combat veterans with posttraumatic stress disorder. Addictive behaviors. 1996;21(1):93–101. doi: 10.1016/0306-4603(95)00038-0. [DOI] [PubMed] [Google Scholar]
  4. Boscarino JA. A prospective study of PTSD and early-age heart disease mortality among Vietnam veterans: implications for surveillance and prevention. Psychosom Med. 2008;70(6):668–676. doi: 10.1097/PSY.0b013e31817bccaf. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Boscarino JA, Chang J. Electrocardiogram abnormalities among men with stress-related psychiatric disorders: implications for coronary heart disease and clinical research. Ann Behav Med. 1999;21(3):227–234. doi: 10.1007/BF02884839. [DOI] [PubMed] [Google Scholar]
  6. Chang BH, Hoaglin DC. Meta-Analysis of Odds Ratios: Current Good Practices. Med Care. 2017;55(4):328–335. doi: 10.1097/mlr.0000000000000696. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Chwastiak LA, Rosenheck RA, Kazis LE. Association of psychiatric illness and obesity, physical inactivity, and smoking among a national sample of veterans. Psychosomatics. 2011;52(3):230–236. doi: 10.1016/j.psym.2010.12.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Cohen BE, Marmar C, Ren L, Bertenthal D, Seal KH. Association of cardiovascular risk factors with mental health diagnoses in Iraq and Afghanistan war veterans using VA health care. JAMA. 2009;302(5):489–492. doi: 10.1001/jama.2009.1084. [DOI] [PubMed] [Google Scholar]
  9. Coughlin SS. Post-traumatic Stress Disorder and Cardiovascular Disease. Open Cardiovasc Med J. 2011;5:164–170. doi: 10.2174/1874192401105010164. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Coughlin SS. Post-traumatic stress disorder and chronic health conditions. Washington D.C: American Public Health Association; 2013. [Google Scholar]
  11. de Assis MA, de Mello MF, Scorza FA, Cadrobbi MP, Schooedl AF, Gomes da Silva S, … Arida RM. Evaluation of physical activity habits in patients with posttraumatic stress disorder. Clinics (Sao Paulo) 2008;63(4):473–478. doi: 10.1590/S1807-59322008000400010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Dedert EA, Becker ME, Fuemmeler BF, Braxton LE, Calhoun PS, Beckham JC. The Roles of Posttraumatic Stress Disorder and Major Depressive Disorder in Childhood Traumatic Stress and Weight Problems among Women. Journal of Traumatic Stress. 2010;23(6):785–763. doi: 10.1002/jts.20584. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Farr OM, Ko BJ, Joung KE, Zaichenko L, Usher N, Tsoukas M, … Mantzoros CS. Posttraumatic stress disorder, alone or additively with early life adversity, is associated with obesity and cardiometabolic risk. Nutr Metab Cardiovasc Dis. 2015;25(5):479–488. doi: 10.1016/j.numecd.2015.01.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Feldner MT, Babson KA, Zvolensky MJ. Smoking, Traumatic Event Exposure, and Posttraumatic Stress: A Critical Review of the Empirical Literature. Clinical psychology review. 2007;27(1):14–45. doi: 10.1016/j.cpr.2006.08.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Godfrey KM, Lindamer LA, Mostoufi S, Afari N. Posttraumatic stress disorder and health: a preliminary study of group differences in health and health behaviors. Ann Gen Psychiatry. 2013;12(1):30. doi: 10.1186/1744-859x-12-30. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Goldberg J, Magruder KM, Forsberg CW, Kazis LE, Ustun T, Friedman MJ, … Smith NL. The association of PTSD with physical and mental health functioning and disability. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care & Rehabilitation. 2014;23(5):1579–1591. doi: 10.1007/s11136-013-0585-4. doi: http://dx.doi.org/10.1007/s11136-013-0585-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Harris R, Bradburn M, Deeks J, Harbord R, Altman D, Steichen T, Sterne J. METAN: Stata module for fixed and random effects meta-analysis. Statistical Software Components 2010 [Google Scholar]
  18. Harte CB, Vujanovic AA, Potter CM. Association between exercise and posttraumatic stress symptoms among trauma-exposed adults. Eval Health Prof. 2015;38(1):42–52. doi: 10.1177/0163278713494774. [DOI] [PubMed] [Google Scholar]
  19. Jarde A, Losilla JM, Vives J, Rodrigo MF. Q-Coh: a tool to screen the methodological quality of cohort studies in systematic reviews and meta-analyses. International Journal of Clinical and Health Psychology. 2013;13(2):138–146. [Google Scholar]
  20. Jin H, Lanouette NM, Mudaliar S, Henry R, Folsom DP, Khandrika S, … Jeste DV. Association of posttraumatic stress disorder with increased prevalence of metabolic syndrome. J Clin Psychopharmacol. 2009;29(3):210–215. doi: 10.1097/JCP.0b013e3181a45ed0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Kozaric-Kovacic D, Ilic MG, Romic Z, Vidovic A, Jendricko T, Pivac N. Body mass index in male Caucasian veterans with or without posttraumatic stress disorder. Prog Neuropsychopharmacol Biol Psychiatry. 2009;33(8):1447–1450. doi: 10.1016/j.pnpbp.2009.07.026. [DOI] [PubMed] [Google Scholar]
  22. Kubzansky LD, Bordelois P, Jun HJ, Roberts AL, Cerda M, Bluestone N, Koenen KC. The weight of traumatic stress: a prospective study of posttraumatic stress disorder symptoms and weight status in women. JAMA Psychiatry. 2014;71(1):44–51. doi: 10.1001/jamapsychiatry.2013.2798. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Littman AJ, Jacobson IG, Boyko EJ, Powell TM, Smith TC. Weight change following US military service. International Journal of Obesity. 2013;37(2):244–253. doi: 10.1038/ijo.2012.46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Maguen S, Hoerster KD, Littman AJ, Klingaman EA, Evans-Hudnall G, Holleman R, … Goodrich DE. Iraq and Afghanistan veterans with PTSD participate less in VA’s weight loss program than those without PTSD. Journal of Affective Disorders. 2016;193:289–294. doi: 10.1016/j.jad.2015.12.078. doi: http://dx.doi.org/10.1016/j.jad.2015.12.078. [DOI] [PubMed] [Google Scholar]
  25. Maia DB, Marmar CR, Mendlowicz MV, Metzler T, Nobrega A, Peres MC, … Figueira I. Abnormal serum lipid profile in Brazilian police officers with post-traumatic stress disorder. J Affect Disord. 2008;107(1–3):259–263. doi: 10.1016/j.jad.2007.08.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Miller GE, Chen E, Zhou ES. If it goes up, must it come down? Chronic stress and the hypothalamic-pituitary-adrenocortical axis in humans. Psychol Bull. 2007;133(1):25–45. doi: 10.1037/0033-2909.133.1.25. [DOI] [PubMed] [Google Scholar]
  27. Mitchell KS, Aiello AE, Galea S, Uddin M, Wildman D, Koenen KC. PTSD and obesity in the Detroit neighborhood health study. Gen Hosp Psychiatry. 2013;35(6):671–673. doi: 10.1016/j.genhosppsych.2013.07.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Pagoto SL, Schneider KL, Bodenlos JS, Appelhans BM, Whited MC, Ma Y, Lemon SC. Association of post-traumatic stress disorder and obesity in a nationally representative sample. Obesity (Silver Spring) 2012;20(1):200–205. doi: 10.1038/oby.2011.318. [DOI] [PubMed] [Google Scholar]
  29. Pietrzak RH, Goldstein RB, Southwick SM, Grant BF. Medical comorbidity of full and partial posttraumatic stress disorder in US adults: Results from Wave 2 of the national epidemiologic survey on alcohol related conditions. Psychosom Med. 2011 doi: 10.1097/PSY.0b013e3182303775. published ahead of print. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Roberts AL, Agnew-Blais JC, Spiegelman D, Kubzansky LD, Mason SM, Galea S, … Koenen KC. Posttraumatic stress disorder and incidence of type 2 diabetes mellitus in a sample of women: a 22-year longitudinal study. JAMA Psychiatry. 2015;72(3):203–210. doi: 10.1001/jamapsychiatry.2014.2632. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Roerig JL, Steffen KJ, Mitchell JE. Atypical antipsychotic-induced weight gain. CNS drugs. 2011;25(12):1035–1059. doi: 10.2165/11596300-000000000-00000. [DOI] [PubMed] [Google Scholar]
  32. Rosenthal R. The “File Drawer Problem” and Tolerance for Null results. Psychological Bullitin. 1979;86(3):638–641. [Google Scholar]
  33. Scherrer JF, Xian H, Kapp JMK, Waterman B, Shah KR, Volberg R, Eisen SA. Association between exposure to childhood and lifetime traumatic events and lifetime pathological gambling in a twin cohort. Journal of Nervous and Mental Disease. 2007;195:72–78. doi: 10.1097/01.nmd.0000252384.20382.e9. [DOI] [PubMed] [Google Scholar]
  34. Schnurr PP. Understanding Pathways from Traumatic Stress to Physical Health. Darmouth: National Center for PTSD and Geisel School of Medicine at Dartmouth; In Press. [Google Scholar]
  35. Scott KM, McGee MA, Wells JE, Oakley-Browne MA. Obesity and mental disorders in the adult general population. Journal of Psychosomatic Research. 2008;64(1):97–105. doi: 10.1016/j.jpsychores.2007.09.006. [DOI] [PubMed] [Google Scholar]
  36. Shipherd JC, Clum G, Suvak M, Resick PA. Treatment-related reductions in PTSD and changes in physical health symptoms in women. J Behav Med. 2014;37(3):423–433. doi: 10.1007/s10865-013-9500-2. [DOI] [PubMed] [Google Scholar]
  37. Smith BN, Tyzik AL, Neylan TC, Cohen BE. PTSD and obesity in younger and older veterans: Results from the mind your heart study. Psychiatry Research. 2015;229(3):895–900. doi: 10.1016/j.psychres.2015.07.044. doi: http://dx.doi.org/10.1016/j.psychres.2015.07.044. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Spitzer C, Barnow S, Volzke H, John U, Freyberger HJ, Grabe HJ. Trauma, posttraumatic stress disorder, and physical illness: findings from the general population. Psychosom Med. 2009;71(9):1012–1017. doi: 10.1097/PSY.0b013e3181bc76b5. [DOI] [PubMed] [Google Scholar]
  39. Sumner JA, Kubzansky LD, Elkind MS, Roberts AL, Agnew-Blais J, Chen Q, … Koenen KC. Trauma Exposure and Posttraumatic Stress Disorder Symptoms Predict Onset of Cardiovascular Events in Women. Circulation. 2015;132(4):251–259. doi: 10.1161/circulationaha.114.014492. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Talbot LS, Neylan TC, Metzler TJ, Cohen BE. The mediating effect of sleep quality on the relationship between PTSD and physical activity. J Clin Sleep Med. 2014;10(7):795–801. doi: 10.5664/jcsm.3878. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Van Zelst WH, De Beurs E, Beekman AT, Van Dyck R, Deeg DD. Well-being, physical functioning, and use of health services in the elderly with PTSD and subthreshold PTSD. International Journal of Geriatric Psychiatry. 2006;21(2):180–188. doi: 10.1002/gps.1448. doi: http://dx.doi.org/10.1002/gps.1448. [DOI] [PubMed] [Google Scholar]
  42. Vujanovic AA, Farris SG, Harte CB, Smits JA, Zvolensky MJ. Smoking status and exercise in relation to PTSD symptoms: A test among trauma-exposed adults. Mental Health and Physical Activity. 2013;6(2):132–138. doi: 10.1016/j.mhpa.2012.12.001. doi: http://dx.doi.org/10.1016/j.mhpa.2012.12.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Whooley MA, de Jonge P, Vittinghoff E, Otte C, Moos R, Carney RM, … Browner WS. Depressive symptoms, health behaviors, and risk of cardiovascular events in patients with coronary heart disease. JAMA. 2008;300(20):2379–2388. doi: 10.1001/jama.2008.711. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Zen AL, Whooley MA, Zhao S, Cohen BE. Post-traumatic stress disorder is associated with poor health behaviors: findings from the heart and soul study. Health Psychol. 2012;31(2):194–201. doi: 10.1037/a0025989. [DOI] [PMC free article] [PubMed] [Google Scholar]

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