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Longitudinal associations between post-traumatic stress disorder and metabolic syndrome severity

Published online by Cambridge University Press:  18 April 2016

E. J. Wolf*
Affiliation:
National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
M. J. Bovin
Affiliation:
National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
J. D. Green
Affiliation:
Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA VA Boston Healthcare System, Research Service, Boston, MA, USA
K. S. Mitchell
Affiliation:
National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
T. B. Stoop
Affiliation:
Boston VA Research Institute, Boston, MA, USA
K. M. Barretto
Affiliation:
VA Boston Healthcare System, Research Service, Boston, MA, USA
C. E. Jackson
Affiliation:
Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA VA Boston Healthcare System, Geriatric Research, Education and Clinical Center, Boston, MA, USA VA Boston Healthcare System, Translational Research Center for TBI and Stress Disorders, Boston, MA, USA
L. O. Lee
Affiliation:
Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA VA Boston Healthcare System, Research Service, Boston, MA, USA
S. C. Fang
Affiliation:
New England Research Institutes, Watertown, MA, USA
F. Trachtenberg
Affiliation:
New England Research Institutes, Watertown, MA, USA
R. C. Rosen
Affiliation:
New England Research Institutes, Watertown, MA, USA
T. M. Keane
Affiliation:
National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
B. P. Marx*
Affiliation:
National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
*
*Address for correspondence: E. Wolf, PhD & Brian Marx, PhD, National Center for PTSD (116B-2), VA Boston Healthcare System, 150 South Huntington Ave., Boston, MA 02130, USA. (Email: erika.wolf@va.gov; brian.marx@va.gov)
*Address for correspondence: E. Wolf, PhD & Brian Marx, PhD, National Center for PTSD (116B-2), VA Boston Healthcare System, 150 South Huntington Ave., Boston, MA 02130, USA. (Email: erika.wolf@va.gov; brian.marx@va.gov)

Abstract

Background

Post-traumatic stress disorder (PTSD) is associated with elevated risk for metabolic syndrome (MetS). However, the direction of this association is not yet established, as most prior studies employed cross-sectional designs. The primary goal of this study was to evaluate bidirectional associations between PTSD and MetS using a longitudinal design.

Method

A total of 1355 male and female veterans of the conflicts in Iraq and Afghanistan underwent PTSD diagnostic assessments and their biometric profiles pertaining to MetS were extracted from the electronic medical record at two time points (spanning ~2.5 years, n = 971 at time 2).

Results

The prevalence of MetS among veterans with PTSD was just under 40% at both time points and was significantly greater than that for veterans without PTSD; the prevalence of MetS among those with PTSD was also elevated relative to age-matched population estimates. Cross-lagged panel models revealed that PTSD severity predicted subsequent increases in MetS severity (β = 0.08, p = 0.002), after controlling for initial MetS severity, but MetS did not predict later PTSD symptoms. Logistic regression results suggested that for every 10 PTSD symptoms endorsed at time 1, the odds of a subsequent MetS diagnosis increased by 56%.

Conclusions

Results highlight the substantial cardiometabolic concerns of young veterans with PTSD and raise the possibility that PTSD may predispose individuals to accelerated aging, in part, manifested clinically as MetS. This demonstrates the need to identify those with PTSD at greatest risk for MetS and to develop interventions that improve both conditions.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2016 

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References

Ahmadi, N, Hajsadeghi, F, Mirshkarlo, HB, Budoff, M, Yehuda, R, Ebrahimi, R (2011). Post-traumatic stress disorders, coronary atherosclerosis, and mortality. American Journal of Cardiology 208, 2933.Google Scholar
Alberti, KG, Zimmet, P, Shaw, J, IDF, Epidemiology Task Force Consensus Group (2005). The metabolic syndrome—a new world definition. Lancet 366, 10591062.Google Scholar
Atli, A, Bulut, M, Bez, Y, Kaplan, I, Özdemir, PG, Uysal, C, Selçuk, H, Sir, A (in press). Altered lipid peroxidation markers are related to post-traumatic stress disorder (PTSD) and not trauma itself in earthquake survivors. European Archives of Psychiatry and Clinical Neuroscience.Google Scholar
Bartoli, F, Carrà, G, Crocamo, C, Caretta, D, Clerici, M (2013). Metabolic syndrome in people suffering from posttraumatic stress disorder: a systematic review and meta-analysis. Metabolic Syndrome and Related Disorders 11, 301308.Google Scholar
Bartoli, F, Crocamo, C, Alamia, A, Amidani, F, Paggi, E, Pini, E, Clerici, M, Carrà, G (2015). Posttraumatic stress disorder and risk of obesity: systematic review and meta-analysis. Journal of Clinical Psychiatry 76, e1253e1261.Google Scholar
Belsky, DW, Caspi, A, Houts, R, Cohen, HJ, Corcoran, DL, Danese, A, Harrington, H, Israel, S, Levine, ME, Schaefer, JD, Sugden, K, Williams, B, Yashin, AI, Poulton, R, Moffitt, TE (2015). Quantification of biological aging in young adults. Proceedings of the National Academy of Sciences USA 112, E4104E4110.Google Scholar
Blake, DD, Weathers, FW, Nagy, LM, Kaloupek, DG, Gusman, FD, Charney, DS, Keane, TM (1995). The development of a clinician-administered PTSD scale. Journal of Traumatic Stress 8, 7590.Google Scholar
Bovin, MJ, Marx, BP, Weathers, FW, Gallagher, MW, Rodriguez, P, Schnurr, PP, Keane, TM (in press). Psychometric properties of the PTSD Checklist for DSM-5 (PCL-5) in Veterans. Psychological Assessment.Google Scholar
Bovin, MJ, Weathers, FW (2012). Assessing PTSD Symptoms. In The Oxford Handbook of Traumatic Stress Disorders (ed. Beck, J. G. and Sloan, D. M.), pp. 235249. Oxford University Press: New York.CrossRefGoogle Scholar
Brudey, C, Park, J, Wiaderkiewicz, J, Kobayashi, I, Mellman, T, Marvar, P (2015). Autonomic and inflammatory consequences of posttraumatic stress disorder and the link to cardiovascular disease. American Journal of Physiology: Regulatory, Integrative and Comparative Physiology 309, R315R321.Google Scholar
Dennis, PA, Watkins, LL, Calhoun, PS, Oddone, A, Sherwood, A, Dennis, MF, Rissling, MB, Beckham, JC (2014). Posttraumatic stress, heart rate variability, and the mediating role of behavioral health risks. Psychosomatic Medicine 76, 629637.Google Scholar
Epel, ES (2009). Psychological and metabolic stress: a recipe for accelerated cellular aging? Hormones (Athens) 8, 722.Google Scholar
Eraly, SA, Nievergelt, CM, Maihofer, AX, Barkauskas, DA, Biswas, N, Agorastos, A, O'Connor, DT, Baker, DG, Marine Resiliency Study Team (2014). Assessment of plasma C-reactive protein as a biomarker of posttraumatic stress disorder risk. JAMA Psychiatry 71, 423431.Google Scholar
Ervin, RB (2009). Prevalence of metabolic syndrome among adults 20 years of age and over, by sex, age, race and ethnicity, and body mass index: United States, 2003–2006. National Health Statistics Report 13, 17.Google Scholar
Esposito, K, Chiodini, P, Colao, A, Lenzi, A, Giugliano, D (2012). Metabolic syndrome and risk of cancer: a systematic review and meta-analysis. Diabetes Care 35, 24022411.Google Scholar
Farr, OM, Ko, BJ, Joung, KE, Zaichenko, L, Usher, N, Tsoukas, M, Thakkar, B, Davis, CR, Crowell, JA, Mantzoros, CS (2015). Posttraumatic stress disorder, alone or additively with early life adversity, is associated with obesity and cardiometabolic risk. Nutrition, Metabolism, and Cardiovascular Diseases 25, 479488.CrossRefGoogle ScholarPubMed
Francis, MM, Nikulina, V, Widom, CS (2015). A prospective examination of the mechanisms linking childhood physical abuse to body mass index in adulthood. Child Maltreatment 20, 203213.Google Scholar
First, M, Spitzer, R, Williams, J, Gibbon, M (2000). Structured clinical interview for DSM-IV Axis 1 disorders (SCID-I), pp. 4953. In Handbook of Psychiatric Measures. American Psychiatric Association: Washington, DC.Google Scholar
First, MB, Williams, JBW, Karg, RS, Spitzer, RL (2015). Structured Clinical Interview for DSM-5 – Research Version (SCID-5 for DSM-5, Research Version; SCID-5-RV). American Psychiatric Association: Arlington, VA.Google Scholar
Gautam, A, D'Arpa, P, Donohue, DE, Muhie, S, Chakraborty, N, Luke, BT, Grapov, D, Carroll, EE, Meyerhoff, JL, Hammamieh, R, Jett, M (2015). Acute and chronic plasma metabolomics and liver transcriptomic stress effects in a mouse model with features of post-traumatic stress disorder. PLoS ONE 10, e0117092.Google Scholar
Gavrieli, A, Farr, OM, Davis, CR, Crowell, JA, Mantzoros, CS (2015). Early life adversity and/or posttraumatic stress disorder severity are associated with poor diet quality, including consumption of trans fatty acids, and fewer hours of resting or sleeping in a US middle-aged population: a cross-sectional and prospective study. Metabolism 64, 15971610.Google Scholar
Georgiades, A, Sherwood, A, Gullette, EC, Babyak, MA, Hinderliter, A, Waugh, R, Tweedy, D, Craighead, L, Bloomer, R, Blumenthal, JA (2000). Effects of exercise and weight loss on mental stress-induced cardiovascular responses in individuals with high blood pressure. Hypertension 36, 171176.Google Scholar
Grattagliano, I, Palmieri, VO, Portincasa, P, Moschetta, A, Palasciano, G (2008). Oxidative stress-induced risk factors associated with metabolic syndrome: a unifying hypothesis. Journal of Nutritional Biochemistry 19, 491504.Google Scholar
Gray, MJ, Litz, BT, Hsu, JL, Lombardo, TW (2004). Psychometric Properties of the Life Events Checklist. Assessment 11, 330341.Google Scholar
Green, E, Fairchild, JK, Kinoshita, LM, Noda, A, Yesavage, J (2016). Effects of posttraumatic stress disorder and metabolic syndrome on cognitive aging in veterans. Gerontologist 56, 7281.Google Scholar
Grundy, SM, Cleeman, JI, Daniels, SR, Donato, KA, Eckel, RH, Franklin, BA, Gordon, DJ, Krauss, RM, Savage, PJ, Smith, SC Jr., Spertus, JA, Costa, F (2005). Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute scientific statement: executive summary. Critical Pathways in Cardiology 4, 198203.Google Scholar
Grundy, SM, Cleeman, JI, Daniels, SR, Donato, KA, Eckel, RH, Franklin, BA, Gordon, DJ, Krauss, RM, Savage, PJ, Smith, SC Jr., Spertus, JA, Costa, F (2006). Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute scientific statement. Current Opinion in Cardiology 21, 16.Google Scholar
Hall, KS, Hoerster, KD, Yancy, WS Jr. (2015). Post-traumatic stress disorder, physical activity, and eating behaviors. Epidemiologic Review 37, 103115.Google Scholar
Heppner, PS, Lohr, JB, Kash, TP, Jin, H, Wang, H, Baker, DG (2012). Metabolic syndrome: relative risk associated with post-traumatic stress disorder (PTSD) severity and antipsychotic medication use. Psychosomatics 53, 550558.Google Scholar
Hu, L, Bentler, PM (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling 6, 155.Google Scholar
Kibler, JL, Tursich, M, Ma, M, Malcolm, L, Greenbarg, R (2014). Metabolic, autonomic and immune markers for cardiovascular disease in posttraumatic stress disorder. World Journal of Cardiology 6, 455461.Google Scholar
Lakka, HM, Laaksonen, DE, Lakka, TA, Niskanen, LK, Kumpusalo, E, Tuomilehto, J, Salonen, JT (2002). The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men. Journal of the American Medical Association 288, 27092716.Google Scholar
Levine, AB, Levine, LM, Levine, TB (2014). Posttraumatic stress disorder and cardiometabolic disease. Cardiology 127, 119.CrossRefGoogle ScholarPubMed
Liu, P, Ma, F, Lou, H, Liu, Y (2013). The utility of fat mass index vs. body mass index and percentage of body fat in the screening of metabolic syndrome. BMC Public Health 13, 629.Google Scholar
Lohr, JB, Palmer, BW, Eidt, CA, Aailaboyina, S, Mausbach, BT, Wolkowitz, OM, Thorp, SR, Jeste, DV (2015). Is post-traumatic stress disorder associated with premature senescence? A review of the literature. American Journal of Geriatric Psychiatry 23, 709725.Google Scholar
Miller, MW, Fogler, JM, Wolf, EJ, Kaloupek, DG, Keane, TM (2008). The internalizing and externalizing structure of psychiatric comorbidity in combat veterans. Journal of Traumatic Stress 21, 5865.Google Scholar
Miller, MW, Sadeh, N (2014). Traumatic stress, oxidative stress and post-traumatic stress disorder: neurodegeneration and the accelerated-aging hypothesis. Molecular Psychiatry 19, 11561162.Google Scholar
Miller, MW, Wolf, EJ, Kilpatrick, D, Resnick, H, Marx, BP, Holowka, DW, Keane, TM, Rosen, RC, Friedman, MJ (2013). The prevalence and latent structure of proposed DSM-5 posttraumatic stress disorder symptoms in US national and veteran samples. Psychological Trauma 5, 501512.Google Scholar
Muthén, LK, Muthén, BO (2012). Mplus User's Guide. Muthén & Muthén: Los Angeles, CA.Google Scholar
NCEP (2001). Executive summary of the third report of the National Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III). Journal of the American Medical Association 285, 24862497.Google Scholar
O'Donovan, A, Cohen, BE, Seal, KH, Bertenthal, D, Margaretten, M, Nishimi, K, Neylan, TC (2015). Elevated risk for autoimmune disorders in Iraq and Afghanistan veterans with posttraumatic stress disorder. Biological Psychiatry 77, 365374.Google Scholar
Pietrzak, RH, Goldstein, RB, Southwick, SM, Grant, BF (2012). Psychiatric comorbidity of full and partial posttraumatic stress disorder among older adults in the United States: results from wave 2 of the National Epidemiologic Survey of Alcohol and Related Conditions. American Journal of Geriatric Psychiatry 20, 380390.Google Scholar
Pulkki-Råback, L, Elovainio, M, Kivimäki, M, Mattsson, N, Raitakari, OT, Puttonen, S, Marniemi, J, Viikari, JS, Keltikangas-Järvinen, L (2009). Depressive symptoms and the metabolic syndrome in childhood and adulthood: a prospective cohort study. Health Psychology 28, 108116.Google Scholar
Regier, DA, Narrow, WE, Clarke, DE, Kraemer, HC, Kuramoto, SJ, Kuhl, EA, Kupfer, DJ (2013). DSM-5 field trials in the United States and Canada, part II: test-retest reliability of selected categorical diagnoses. American Journal of Psychiatry 170, 5970.Google Scholar
Roberts, AL, Agnew-Blais, JC, Spiegelman, D, Kubzansky, LD, Mason, SM, Galea, S, Hu, FB, Rich-Edwards, JW, Koenen, KC (2015). Posttraumatic stress disorder and incidence of type 2 diabetes mellitus in a sample of women: a 22-year longitudinal study. JAMA Psychiatry 72, 203210.CrossRefGoogle Scholar
Rosen, RC, Marx, BP, Maserejian, NN, Holowka, DW, Gates, MA, Sleeper, LA, Vasterling, JJ, Kang, HK, Keane, TM (2012). Project VALOR: design and methods of a longitudinal registry of post-traumatic stress disorder (PTSD) in combat-exposed veterans in the Afghanistan and Iraqi military theaters of operations. International Journal of Methods in Psychiatric Research 21, 516.Google Scholar
Rosenbaum, S, Sherrington, C, Tiedemann, A (2015 a). Exercise augmentation compared with usual care for post-traumatic stress disorder: a randomized controlled trial. Acta Psychiatrica Scandinavica 131, 350359.Google Scholar
Rosenbaum, S, Stubbs, B, Ward, PB, Steel, Z, Lederman, O, Vancampfort, D (2015 b). The prevalence and risk of metabolic syndrome and its components among people with posttraumatic stress disorder: a systematic review and meta-analysis. Metabolism 64, 926933.Google Scholar
Rosenbaum, S, Vancampfort, D, Steel, Z, Newby, J, Ward, PB, Stubbs, B (2015 c). Physical activity in the treatment of post-traumatic stress disorder: a systematic review and meta-analysis. Psychiatry Research 230, 130136.Google Scholar
Rosenthal, R, Rosnow, RL (1991). Essentials of Behavioral Research: Methods and Data Analysis, 2nd edn. McGraw-Hill: Boston, MA.Google Scholar
Roy, SS, Foraker, RE, Girton, RA, Mansfield, AJ (2015). Posttraumatic stress disorder and incident heart failure among a community-based sample of US veterans. American Journal of Public Health 105, 757763.Google Scholar
Schnurr, PP, Spiro, A 3rd, Paris, AH (2000). Physician-diagnosed medical disorders in relations to PTSD symptoms in older male military veterans. Health Psychology 19, 9197.Google Scholar
Sullivan, PW, Ghushchyan, V, Wyatt, HR, Hill, JO (2007). The medical cost of cardiometabolic risk factor clusters in the United States. Obesity (Silver Spring) 15, 31503158.Google Scholar
Sumner, JA, Kubzansky, LD, Elkind, MS, Roberts, AL, Agnew-Blais, J, Chen, Q, Cerdá, M, Rexrode, KM, Rich-Edwards, JW, Spiegelman, D, Suglia, SF, Rimm, EB, Koenen, KC (2015). Trauma exposure and posttraumatic stress disorder symptoms predict onset of cardiovascular events in women. Circulation 132, 251259.Google Scholar
Talbot, LS, Rao, MN, Cohen, BE, Richards, A, Inslicht, SS, O'Donovan, A, Maguen, S, Metzler, TJ, Neylan, TC (2015). Metabolic risk factors and posttraumatic stress disorder: the role of sleep in young, healthy adults. Psychosomatic Medicine 77, 383391.Google Scholar
Tyrka, AR, Parade, SH, Price, LH, Kao, HT, Porton, B, Philip, NS, Welch, ES, Carpenter, LL (2016). Alterations of mitochondrial DNA copy number and telomere length with early adversity and psychopathology. Biological Psychiatry 79, 7886.Google Scholar
Vancampfort, D, Stubbs, B, Mitchell, AJ, De Hert, M, Wampers, M, Ward, PB, Rosenbaum, S, Correll, CU (2015). Risk of metabolic syndrome and its components in people with schizophrenia and related psychotic disorders, bipolar disorder and major depressive disorder: a systematic review and meta-analysis. World Psychiatry 14, 339347.CrossRefGoogle ScholarPubMed
Vitaliano, PP, Scanlan, JM, Zhang, J, Savage, MV, Hirsch, IB, Siegler, IC (2002). A path model of chronic stress, the metabolic syndrome, and coronary heart disease. Psychosomatic Medicine 64, 418435.Google Scholar
Wentworth, BA, Stein, MB, Redwine, LS, Xue, Y, Taub, PR, Clopton, P, Nayak, KR, Maisel, AS (2013). Post-traumatic stress disorder: a fast track to premature cardiovascular disease? Cardiology in Review 21, 1622.CrossRefGoogle ScholarPubMed
Wilson, PW, D'Agostino, RB, Parise, H, Sullivan, L, Meigs, JB (2005). Metabolic syndrome as a precursor of cardiovascular disease and type 2 diabetes mellitus. Circulation 112, 30663072.Google Scholar
Wolf, EJ, Logue, MW, Hayes, JP, Sadeh, N, Schichman, SA, Stone, A, Salat, DH, Milberg, W, McGlinchey, R, Miller, MW (2016). Accelerated DNA methylation age: associations with PTSD and neural integrity. Psychoneuroendocrinology 63, 155162.Google Scholar
Wolf, EJ, Sadeh, N, Leritz, EC, Logue, MW, Stoop, T, McGlinchey, R, Milberg, W, Miller, MW (in press). PTSD as a catalyst for the association between Metabolic Syndrome and reduced cortical thickness. Biological Psychiatry.Google Scholar
World Health Organization (2000). Obesity: Preventing and Managing the Global Epidemic; Report of a WHO Consultation (WHO Technical Report Series). World Health Organization: Geneva.Google Scholar
Yaffe, K, Kanaya, A, Lindquist, K, Simonsick, EM, Harris, T, Shorr, RI, Tylavsky, FA, Newman, AB (2004). The metabolic syndrome, inflammation, and risk of cognitive decline. Journal of the American Medical Association 292, 22372242.Google Scholar
Zandieh, A, Esteghamati, A, Morteza, A, Noshad, S, Khalilzadeh, O, Gouya, MM, Nakhiavani, M (2012). Appropriate BMI cut-off values for identification of metabolic risk factors: third national surveillance of risk factors of non-communicable diseases in Iran (SuRFNCD-2007). Annals of Human Biology 39, 484489.Google Scholar
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