827 resultados para Lifestyle Variables
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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The purpose was to determine intake of phytoestrogens in a sample of older Australian women, and to investigate associated lifestyle factors. Subjects were an age-stratified sample of 511 women aged 40-80 y, randomly selected from the electoral roll and participating in the Longitudinal Assessment of Ageing in Women at the Royal Brisbane and Women’s Hospital. A cross-sectional study was conducted to assess isoflavone and lignan intake over the past month from food and supplements using a 112-item phytoestrogen frequency questionnaire. Data were also collected on nutrient intakes, physical activity, smoking, alcohol, non-prescription supplements, hormone therapy, education and occupation. Logistic regression was used to evaluate associations between demographic and lifestyle variables and soy/linseed consumption while controlling for age. Isoflavone intakes were significantly higher in the younger compared to older age groups (p<0.001); there were no age-related differences in lignan intake. Forty-five percent of women consumed at least one serve of a soy and/or linseed item and were defined as a soy/linseed consumer. Median (range) intakes by consumers for isoflavones and lignans (3.9 (0-172) mg/d and 2.4 (0.1-33) mg/d) were higher than intakes by non-consumers (0.004 (0-2.6) mg/d and 1.57 (0.44-4.7) mg/d), respectively (p<0.001). Consumers had higher intakes of dietary fibre (p=0.003), energy (p=0.04) and polyunsaturated fat (p=0.004), and higher levels of physical activity (p=0.006), socio-economic position (p<0.001), education (p<0.001) and supplement use (p<0.001). Women who consumed soy or linseed foods differed in lifestyle and demographic characteristics suggesting these factors should be considered when investigating associations with chronic disease outcomes.
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Type 2 diabetes is an increasing, serious, and costly public health problem. The increase in the prevalence of the disease can mainly be attributed to changing lifestyles leading to physical inactivity, overweight, and obesity. These lifestyle-related risk factors offer also a possibility for preventive interventions. Until recently, proper evidence regarding the prevention of type 2 diabetes has been virtually missing. To be cost-effective, intensive interventions to prevent type 2 diabetes should be directed to people at an increased risk of the disease. The aim of this series of studies was to investigate whether type 2 diabetes can be prevented by lifestyle intervention in high-risk individuals, and to develop a practical method to identify individuals who are at high risk of type 2 diabetes and would benefit from such an intervention. To study the effect of lifestyle intervention on diabetes risk, we recruited 522 volunteer, middle-aged (aged 40 - 64 at baseline), overweight (body mass index > 25 kg/m2) men (n = 172) and women (n = 350) with impaired glucose tolerance to the Diabetes Prevention Study (DPS). The participants were randomly allocated either to the intensive lifestyle intervention group or the control group. The control group received general dietary and exercise advice at baseline, and had annual physician's examination. The participants in the intervention group received, in addition, individualised dietary counselling by a nutritionist. They were also offered circuit-type resistance training sessions and were advised to increase overall physical activity. The intervention goals were to reduce body weight (5% or more reduction from baseline weight), limit dietary fat (< 30% of total energy consumed) and saturated fat (< 10% of total energy consumed), and to increase dietary fibre intake (15 g / 1000 kcal or more) and physical activity (≥ 30 minutes/day). Diabetes status was assessed annually by a repeated 75 g oral glucose tolerance testing. First analysis on end-points was completed after a mean follow-up of 3.2 years, and the intervention phase was terminated after a mean duration of 3.9 years. After that, the study participants continued to visit the study clinics for the annual examinations, for a mean of 3 years. The intervention group showed significantly greater improvement in each intervention goal. After 1 and 3 years, mean weight reductions were 4.5 and 3.5 kg in the intervention group and 1.0 kg and 0.9 kg in the control group. Cardiovascular risk factors improved more in the intervention group. After a mean follow-up of 3.2 years, the risk of diabetes was reduced by 58% in the intervention group compared with the control group. The reduction in the incidence of diabetes was directly associated with achieved lifestyle goals. Furthermore, those who consumed moderate-fat, high-fibre diet achieved the largest weight reduction and, even after adjustment for weight reduction, the lowest diabetes risk during the intervention period. After discontinuation of the counselling, the differences in lifestyle variables between the groups still remained favourable for the intervention group. During the post-intervention follow-up period of 3 years, the risk of diabetes was still 36% lower among the former intervention group participants, compared with the former control group participants. To develop a simple screening tool to identify individuals who are at high risk of type 2 diabetes, follow-up data of two population-based cohorts of 35-64 year old men and women was used. The National FINRISK Study 1987 cohort (model development data) included 4435 subjects, with 182 new drug-treated cases of diabetes identified during ten years, and the FINRISK Study 1992 cohort (model validation data) included 4615 subjects, with 67 new cases of drug-treated diabetes during five years, ascertained using the Social Insurance Institution's Drug register. Baseline age, body mass index, waist circumference, history of antihypertensive drug treatment and high blood glucose, physical activity and daily consumption of fruits, berries or vegetables were selected into the risk score as categorical variables. In the 1987 cohort the optimal cut-off point of the risk score identified 78% of those who got diabetes during the follow-up (= sensitivity of the test) and 77% of those who remained free of diabetes (= specificity of the test). In the 1992 cohort the risk score performed equally well. The final Finnish Diabetes Risk Score (FINDRISC) form includes, in addition to the predictors of the model, a question about family history of diabetes and the age category of over 64 years. When applied to the DPS population, the baseline FINDRISC value was associated with diabetes risk among the control group participants only, indicating that the intensive lifestyle intervention given to the intervention group participants abolished the diabetes risk associated with baseline risk factors. In conclusion, the intensive lifestyle intervention produced long-term beneficial changes in diet, physical activity, body weight, and cardiovascular risk factors, and reduced diabetes risk. Furthermore, the effects of the intervention were sustained after the intervention was discontinued. The FINDRISC proved to be a simple, fast, inexpensive, non-invasive, and reliable tool to identify individuals at high risk of type 2 diabetes. The use of FINDRISC to identify high-risk subjects, followed by lifestyle intervention, provides a feasible scheme in preventing type 2 diabetes, which could be implemented in the primary health care system.
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Previous studies found students who both work and attend school undergo a partial sleep deprivation that accumulates across the week. The aim of the present study was to obtain information using a questionnaire on a number of variables (e.g., socio-demographics, lifestyle, work timing, and sleep-wake habits) considered to impact on sleep duration of working (n = 51) and non-working (n = 41) high-school students aged 14-21 yrs old attending evening classes (19:00-22:30h) at a public school in the city of Sao Paulo, Brazil. Data were collected for working days and days off. Multiple linear regression analyses were performed to assess the factors associated with sleep duration on weekdays and weekends. Work, sex, age, smoking, consumption of alcohol and caffeine, and physical activity were considered control variables. Significant predictors of sleep duration were: work (p < 0.01), daily work duration (8-10h/day; p < 0.01), sex (p = 0.04), age 18-21 yrs (0.01), smoking (p = 0.02) and drinking habits (p = 0.03), irregular physical exercise (p < 0.01), ease of falling asleep (p = 0.04), and the sleep-wake cycle variables of napping (p < 0.01), nocturnal awakenings (p < 0.01), and mid-sleep regularity (p < 0.01). The results confirm the hypotheses that young students who work and attend school showed a reduction in night-time sleep duration. Sleep deprivation across the week, particularly in students working 8-10h/day, is manifested through a sleep rebound (i.e., extended sleep duration) on Saturdays. However, the different roles played by socio-demographic and lifestyle variables have proven to be factors that intervene with nocturnal sleep duration. The variables related to the sleep-wake cyclenaps and night awakeningsproved to be associated with a slight reduction in night-time sleep, while regularity in sleep and wake-up schedules was shown to be associated with more extended sleep duration, with a distinct expression along the week and the weekend. Having to attend school and work, coupled with other socio-demographic and lifestyle factors, creates an unfavorable scenario for satisfactory sleep duration.
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La prévalence de l’excès de poids (EP) est en pleine croissance à travers le monde. Au Canada, elle serait de 59,1% dans la population générale, dont 23,1% d’obésité et 36,0% d’embonpoint. Ces pourcentages sont encore plus élevés dans la population autochtone, en plus d’une forte prévalence d’insécurité alimentaire (IA) et une alimentation en transition vers de moins en moins de nourritures traditionnelles, et de plus en plus de nourritures commerciales de faible densité nutritionnelle. L’Organisation mondiale de la santé (OMS) recommande des initiatives pour documenter le statut sanitaire de cette population afin d’orienter les actions pouvant prévenir les conséquences négatives sur la santé. Notre étude visait donc à décrire les phénomènes de l’EP et de l’IA chez les Premières Nations (PN) adultes de 19 ans et plus, vivant sur les réserves en Colombie-Britannique (CB). Cet échantillon est en effet le premier d’un projet de 10 ans dénommé « First Nations Food, Nutrition and Environment Study » ou (FNFNES), visant à documenter l’état nutritionnel et l’exposition à certains contaminants chez les PN vivant au sud du 60ème parallèle au Canada. Plus particulièrement, cette thèse cherche à associer trois dimensions de la santé, soit l’EP, la qualité de l’alimentation (QA) et l’IA. Nous avons voulu en effet vérifier dans le contexte des PN de la CB: 1) si une QA inadéquate serait associée à un risque plus élevé d’EP; 2) si l’IA des ménages serait associée à une qualité inadéquate de l’alimentation; et 3) si la QA et l’IA expliqueraient ensemble la présence d’EP. A l’issue des analyses (univariées, bivariées, MANOVA et régressions logistiques) de nos données transversales colligées en 2008/2009, les prévalences respectives chez les femmes (n = 493) et les hommes (n = 356) adultes étaient de 44,8% et 35,4% pour l’obésité, de 31,6% et 41,3% pour l’embonpoint, soit un total de 76,4% et 76,7% d’EP. Elles étaient de 39,3% et de 34,8% pour l’IA. Seuls 42,4% des femmes et 43,8% des hommes avaient un accès suffisant aux aliments traditionnels. Après ajustement pour les variables sociodémographiques et du mode de vie, les résultats des analyses multivariées ont montré ii que bien que les prévalences d’EP et d’IA soient assez similaires dans les deux sexes, les processus reliant l’EP, la QA et l’IA seraient différents. En effet, chez les femmes, l’EP serait expliqué par une QA compromise par des apports énergétiques relativement élevés (RC = 2,26; IC: 1,13 - 4,52), la consommation fréquente des boissons gazeuses (pour l’embonpoint, RC = 2,70; IC: 1,11 - 6,56 et pour l’obésité, RC = 2,53; IC: 1,05 - 6,09), en synergie avec l’inactivité physique (RC = 0,52; IC: 0,28 – 0,98 pour le groupe à activité modérée, et RC = 0,36; IC: 0,18 – 0,72 pour le groupe le plus actif), tandis que les produits céréaliers (RC = 0,35; IC: 0,16 - 0,75) et le lait et substituts (RC = 0,40; IC: 0,16 - 0,95) joueraient un rôle protecteur contre l’EP. D’autre part, l’IA des ménages influencerait la QA (à travers les gras saturés, p = 0,02) mais lorsque les trois variables sont étudiées ensemble, seules des dimensions de la QA apparaissent associées à l’EP. Par contre chez les hommes, le seul facteur alimentaire associé à l’EP est le pain blanc mais dans un rôle protecteur (pour l’embonpoint, RC = 0,38; IC: 0,18 - 0,76 et pour l’obésité, RC = 0,36; IC: 0,16 - 0,80); de même, lorsque les trois variables sont étudiées ensemble, l’IA joue un rôle protecteur de l’EP, dans un contexte de tabagisme relativement élevé et également protecteur, ce qui n’expliquerait pas la forte prévalence d’EP observée chez les hommes PN vivant sur les réserves de la CB. Des études plus approfondies et sur des échantillons plus grands seraient nécessaires pour mieux cerner la nature des relations mais d’ores et déjà, notre travail suggère que des effets positifs sur l’EP peuvent être attendus des politiques et programmes visant à réduire la consommation des boissons gazeuses et l’inactivité physique, et à encourager la consommation des produits céréaliers et de lait et substituts chez les femmes. Quant aux hommes, les conclusions de notre étude ne nous permettent pas encore de formuler des recommandations précises. Alors, les comportements santé recommandés aux femmes devraient être généralisés aux hommes en attendant les conclusions d’autres études.
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Objective To assess dietary quality and associated factors in adolescents. Study design We conducted a population-based cross-sectional study in a sample of 1584 adolescents living in areas of the state of Sao Paulo, Brazil. Dietary intake was measured with the 24-hour recall method, and dietary quality was assessed by means of the Health Eating Index (HEI), adapted to fit to the local requirements. Linear regression analyses were performed to assess the association between the HEI and demographic, socioeconomic, and lifestyle variables. Results A total of 97.1% of the adolescents studied had an inadequate diet or a diet that needed improvement. The mean overall HEI score was 59.7. Lower mean HEI scores were found for fruits, dairy products, and vegetables. Male adolescents who were physically active and lived in a house or apartment had higher HEI scores. The multiple regression analyses showed that the quality of the diet improved as age decreased. Adolescents who lived in houses or apartments had higher HEI scores than adolescents living in shacks or slums, regardless of age and energy intake. Conclusions Dietary quality is associated with income and age. A better understanding of the factors associated can provide input to the formulation of policies and development of nutritional actions. (J Pediatr 2010; 156:456-60).
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This descriptive study aimed to investigate the relationship between expression of immunological (TCD4 +) and virological (viral load) parameters, lipodystrophy syndrome and lifestyle variables of people living with HIV who underwent a program of physicalexercise. Initially, the sample was composed by 17 persons, recorded at the Department of Giselda Trigueiro Hospital Care (GTH), Natal-RN . With the passing of the stages of intervention (physical training program- PTP) the number of participants has changed (17, 9, 8 and 7) as the training phases (I, II, III and IV). Data collected were on total cholesterol, High Density Lipoprotein (HDL) and triglycerides. The % fat (% F), body mass index (BMI), waist-hip ratio (WHR), lean mass (LM), central fat (BF), total (TF) and peripheral (PF), weight and height were used to measure the morphological parameters. For control of variables (TCD4 +, viral load, Triglycerides, Cholesterol, HDL), the information contained in the blood tests every four months were investigated. After Phase I and II, it was used a structured interview. Then sampling was carried out considering the pre-and post-tests 1, 2, 3 and 4 (after 16, 32, 48 and 64 weeks of training, respectively). Daily, the intensity of the work was checked by the scale of perceived exertion for exercises adapted to resistance34. Procedures used were descriptive statistics (dispersion, absolute and relative frequencies, means, standard deviations and minimum and maximum values) as well as Spearman linear correlation adopting a significance level of p ≤ 0.05. Positive changes were observed for TCD4 + and viral load in all phases of the PTP. For the morphological components, the loss of central subcutaneous fat (CSF) and total subcutaneous fat (TSF) for both sexes and the decrease in % BF among women were the most dramatic results after the training phase I. For men, results were more significant to % F and LM in Phases I and II and peripheral subcutaneous fat (PSF) declined in all phases of the exercise. As for women, results were more expressive for % F and TM in the phases I and II and the PSF decreased in all phases of the exercise. Whereas for women, the waist/hip ratio (WCQ) and 0% F decreased and showed a positive association with triglycerides (WHR r * 0.82, p 0.042, r 0.88 TSF *, p 0.019 and r 1.00 ** CSF, p <0.001) and among men with limb subcutaneous fat (LSF)* r 0.65, p 0.029). The PTP provided improvement in the health, self-esteem and quality of life, proving to be a possible strategy to positively influence the expression of immunological parameters (TCD4 +) and virological (viral load) and morphological components of people living with HIV causing no deleterious effects in these parameters
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Este estudo transversal visou a identificar fatores de risco para doença cardiovascular em uma amostra, estratificada por conglomerados, de 557 escolares (6-19 anos) de Belém, Pará, Brasil. Os fatores de risco investigados foram obesidade, hipertensão arterial, dislipidemia, diabetes, tabagismo, sedentarismo e dieta aterogênica. Variáveis sociodemográficas e relacionadas ao estilo de vida foram testadas no modelo de regressão binária logística. Os fatores de risco prevalentes foram excesso de peso (20,4%), dislipidemia (48,1%) e sedentarismo (66,2%). Constatou-se que os escolares abaixo de dez anos e os provenientes das famílias de maior renda e com maior escolaridade materna apresentaram mais chances de desenvolverem excesso de peso; por sua vez, os escolares com excesso de peso foram os mais propensos a desenvolver hipercolesterolemia e hipertrigliceredemia. Diante desse quadro, faz-se necessária, ainda na primeira infância, a implantação de estratégias para controle de excesso de peso, por meio da alimentação balanceada e da prática física regular, para que se possa reduzir de forma efetiva a prevalência de fatores de risco em escolares nesta cidade.
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Pós-graduação em Saúde Coletiva - FMB
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To analyse the associations between high screen time and overweight, poor dietary habits and physical activity in adolescents according to sex. The study comprised 515 boys and 716 girls aged 14-17 years from Londrina, Brazil. Nutritional status (normal weight or overweight/obese) was assessed by calculating the body mass index. Eating habits and time spent in physical activity were reported using a questionnaire. The measurement of screen time considered the time spent watching television, using a computer and playing video games during a normal week. Associations between high screen time and dependent variables (nutritional status, eating habits and physical activity levels) were assessed by binary logistic regression, adjusted for sociodemographic and lifestyle variables. Most adolescents (93.8% of boys and 87.2% of girls) spent more than 2 hours per day in screen-time activities. After adjustments, an increasing trend in the prevalence of overweight and physical inactivity with increasing time spent on screen activities was observed for both sexes. Screen times of >4 hours/day compared with <2 hours/day were associated with physical inactivity, low consumption of vegetables and high consumption of sweets only in girls and the consumption of soft drinks in both sexes. The frequency of overweight and physical inactivity increased with increasing screen time in a trending manner and independently of the main confounders. The relationship between high screen time and poor eating habits was particularly relevant for adolescent girls.
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We investigated dietary intake patterns (DIP) in adolescents (14-18 year-olds) and the association with demographic and socioeconomic characteristics and lifestyle variables. This school-based survey was carried out among high school students from the city of Maringa in the state of Parana (PR), Brazil (2007). The sample included 991 students (54.5% girls) from high schools. DIPs were investigated by the frequency of weekly consumption of each food group: vegetables, fruit, rice, beans, fried food, sweet food, milk, soda, meat, eggs, alcoholic drinks. Independent variables were: demographic and socioeconomic characteristics and lifestyle variables. DIPS were identified using principal component analysis with orthogonal rotation (varimax). Three components were extracted. Component 1 (fried foods, sweets and soft drinks) was positively associated with not having breakfast for girls and dinner for boys. Moreover, component 2 (consumption of fruit and vegetables) was positively associated with having breakfast at home for boys and number of meals for girls. Component 3 (beans, eggs and meat) was positively associated with having lunch, employment and sedentary behavior level for girls. However, it was negatively associated with having lunch and dinner for boys. Adolescents who have healthier eating patterns also had other healthier behaviors regardless of gender. However, factors associated with dietary patterns differ between boys and girls. (C) 2012 Elsevier Ltd. All rights reserved.
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Background Guidelines for the prevention of coronary heart disease (CHD) recommend use of Framingham-based risk scores that were developed in white middle-aged populations. It remains unclear whether and how CHD risk prediction might be improved among older adults. We aimed to compare the prognostic performance of the Framingham risk score (FRS), directly and after recalibration, with refit functions derived from the present cohort, as well as to assess the utility of adding other routinely available risk parameters to FRS. Methods Among 2193 black and white older adults (mean age, 73.5 years) without pre-existing cardiovascular disease from the Health ABC cohort, we examined adjudicated CHD events, defined as incident myocardial infarction, CHD death, and hospitalization for angina or coronary revascularization. Results During 8-year follow-up, 351 participants experienced CHD events. The FRS poorly discriminated between persons who experienced CHD events vs. not (C-index: 0.577 in women; 0.583 in men) and underestimated absolute risk prediction by 51% in women and 8% in men. Recalibration of the FRS improved absolute risk prediction, particulary for women. For both genders, refitting these functions substantially improved absolute risk prediction, with similar discrimination to the FRS. Results did not differ between whites and blacks. The addition of lifestyle variables, waist circumference and creatinine did not improve risk prediction beyond risk factors of the FRS. Conclusions The FRS underestimates CHD risk in older adults, particularly in women, although traditional risk factors remain the best predictors of CHD. Re-estimated risk functions using these factors improve accurate estimation of absolute risk.
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BACKGROUND: Elevated plasma levels of interleukin (IL)-6, C-reactive protein (CRP), and D-dimer belong to the biological alterations of the "frailty syndrome," defining increased vulnerability for diseases and mortality with aging. We hypothesized that, compatible with premature frailty, chronic stress and age are related in predicting inflammation and coagulation activity in Alzheimer caregivers. METHODS: Plasma IL-6, CRP, and D-dimer levels were measured in 170 individuals (mean age 73 +/- 9 years; 116 caregivers, 54 noncaregiving controls). Demographic factors, diseases, drugs, and lifestyle variables potentially affecting inflammation and coagulation were obtained by history and adjusted for as covariates in statistical analyses. RESULTS: Caregivers had higher mean levels of IL-6 (1.38 +/- 1.42 vs 1.00 +/- 0.92 pg/mL, p =.032) and of D-dimer (723 +/- 530 vs 471 +/- 211 ng/mL, p <.001) than controls had. CRP levels were similar between groups (p =.44). The relationship between caregiver status and D-dimer was independent of covariates (p =.037) but affected by role overload. Age accounted for much of the relationship with IL-6. After controlling for covariates, the interaction between caregiver status and age was significant for D-dimer (beta =.20, p =.029) and of borderline significance for IL-6 (beta =.17, p =.090). Post hoc regression analyses indicated that, among caregivers, age was significantly correlated with both D-dimer (beta =.50, p <.001) and IL-6 (beta =.38, p =.001). Among controls, however, no significant relationship was observed between age and either D-dimer or IL-6. CONCLUSIONS: The interaction between caregiving status and age for D-dimer and IL-6 suggests the possibility that older caregivers could be at risk of a more rapid transition to the frailty syndrome and clinical manifestations of cardiovascular diseases.
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OBJECTIVE: Posttraumatic stress disorder (PTSD) has been associated with an increased cardiovascular risk, though the pathophysiologic mechanisms involved are elusive. A hypercoagulable state before occurrence of coronary thrombosis contributes to atherosclerosis development. We investigated whether PTSD would be associated with increased coagulation activity. METHODS: We measured resting plasma levels of clotting factor VII activity (FVII:C), FVIII:C, FXII:C, fibrinogen, and D-dimer in 14 otherwise healthy patients with PTSD and in 14 age- and gender-matched, trauma-exposed non-PTSD controls. Categorical and dimensional diagnoses of PTSD were made using the Clinician-Administered PTSD Scale (CAPS) interview. We also investigated to what extent the relationship between PTSD and coagulation measures would be confounded by demographics, cardiovascular risk factors, lifestyle variables, time since trauma, and mood. RESULTS: Coagulation factor levels did not significantly differ between patients with a categorical diagnosis of PTSD and controls while controlling for covariates. In all subjects, FVIII:C was predicted by hyperarousal severity (beta = 0.46, p = .014) independent of covariates and by overall PTSD symptom severity (beta = 0.38, p = .045); the latter association was of borderline significance when separately controlling for gender, smoking, exercise, and anxiety (p values <.07). In patients, fibrinogen was predicted by hyperarousal severity (beta = 0.70, p = .005) and by overall PTSD symptom severity (beta = 0.61, p = .020), with mood partially affecting these associations. FVII:C, fibrinogen, and D-dimer showed no independent association with PTSD symptoms. CONCLUSIONS: PTSD may elicit hypercoagulability, even at subthreshold levels, offering one psychobiological pathway by which posttraumatic stress might contribute to atherosclerosis progression and clinical cardiovascular disease.