PURPOSE: The purpose of this study was to investigate the relationship between race/ethnicity and post-concussive mental health (i.e., depressive, post-traumatic stress disorder [PTSD]) and neurobehavioral symptoms among service members, and whether this association differed by education level. METHODS: The study sample consisted of 524 patients from a multidisciplinary US military outpatient treatment facility for post-concussive symptoms. Poisson regression with robust error variance was utilized to investigate outcome (i.e., clinically-elevated depressive [Patient Health Questionnaire-8 ≥15], PTSD [PTSD Checklist, DSM 5 ≥38] and neurobehavioral [Neurobehavioral Symptom Inventory >75th percentile] symptoms at admission and last follow-up in this cohort study. Modification by education level (low [no college degree] vs. high [associates degree or higher]) was additionally evaluated. RESULTS: The relationship between race/ethnicity and mental health/neurobehavioral symptoms varied by education level (p-interaction: depressive symptoms = 0.002, PTSD symptoms = 0.035, neurobehavioral symptoms = 0.040). Specifically, non-Whites were at a significantly higher prevalence for clinically-elevated depressive symptoms post-treatment than Whites, but only among those with higher education level (PR = 2.22, CI = 1.37-3.59). A similar trend was demonstrated for PTSD and neurobehavioral symptoms. CONCLUSION: Military healthcare may need to increase depression-focused treatment options that are acceptable for racial/ethnic minority patients, particularly those with higher education, while they are recovering from comorbid traumatic brain injury.

Primary care providers can play a crucial role in the clinical management of concussion. However, many providers lack up-to-date information about best practices for rest and return to activity after these injuries. Most research on this topic has been conducted in athletes, and so less is known about how to assist patients with returning to activity in other settings and populations. This article provides a review of best practices for management of progressive return to activity after concussion, with an emphasis on "lessons learned" from the Defense and Veterans Brain Injury Center (DVBIC) Progressive Return to Activity (PRA) study, a multi-site longitudinal research project conducted to evaluate concussion management practices and the effectiveness of provider training on DVBIC clinical recommendations (CRs). Provider clinical practices and patient outcomes were examined at three U.S. military treatment facilities before and after providers completed a standardized training on DVBIC PRA CRs. In summary, research findings provide additional support that concussion recovery can be influenced by patients' activity levels after injury. Patients with concussion may experience poorer outcomes if they return to pre-injury levels of activity too rapidly, but they may also be at risk for prolonged symptoms if they fail to increase activity levels over time after an initial period of rest. Additionally, training primary care providers in return to activity guidelines can result in more effective patient education and better clinical outcomes. This knowledge can be used to inform best practices for progressive return to activity in both civilian and military settings.

Objectives

To investigate whether walking mediates neighborhood built environment associations with weight status in middle- and older-aged women.

Methods

Participants (N=5085; mean age=64 ± 7.7; 75.4% White non-Hispanic) were from the Women's Health Initiative San Diego cohort baseline visits. Body mass index (BMI) and waist circumference were measured objectively. Walking was assessed via survey. The geographic information system (GIS)-based home neighborhood activity supportiveness index included residential density, street connectivity, land use mix, and number of parks.

Results

BMI was 0.22 units higher and the odds ratio for being obese (vs. normal or overweight) was 8% higher for every standard deviation decrease in neighborhood activity supportiveness. Walking partially mediated these associations (22-23% attenuation). Findings were less robust for waist circumference.

Conclusions

Findings suggest women who lived in activity-supportive neighborhoods had a lower BMI than their counterparts, in part because they walked more. Improving neighborhood activity supportiveness has population-level implications for improving weight status and health.

Background

Comorbid mental illness may negatively impact recovery from concussion. This study evaluated whether the level of symptom clusters at clinic intake contribute to poor mental health recovery in concussed patients during treatment, which may in turn serve as a target intervention.

Objective

The objective of this study is to examine the association between the level of initial symptoms and mental health symptoms among service members with concussion.

Methods

Data were obtained from 483 active duty service members treated in interdisciplinary treatment programs for traumatic brain injury, all of which were concussions. Pre-treatment symptom clusters included self-reported hyperarousal, dissociation/depression, cognitive dysfunction/headache and neurological symptoms. The outcomes, clinically-relevant decreases in depressive symptoms (assessed by the 8-item Patient Health Questionnaire, PHQ-8) and PTSD symptoms (assessed by the PTSD Checklist for DSM-5, PCL-5), were defined as a decrease in PHQ-8 > 5 and PCL-5 > 7, respectively. Poisson regression with robust error variance was used to evaluate the relationship between the level of each symptom cluster and clinically-relevant decrease in outcomes.

Results

Participants with higher (vs. lower) levels of pre-treatment hyperarousal and dissociation/depression symptom cluster were less likely to improve in depressive and PTSD symptoms during treatment. The level of cognitive/headache and neurological symptom clusters were not significantly associated with any symptom changes.

Conclusion

These findings support the need for individualized treatment for symptoms identified and treated after determining concussion history, with particular attention to high levels of hyperarousal and dissociation/depression prior to treatment.

Background

Abdominal aortic calcium (AAC) and coronary artery calcium (CAC) independently and similarly predict cardiovascular disease (CVD) events. The standard AAC and CAC score, the Agatston method, upweights for greater calcium density, thereby modeling higher calcium density as a CVD hazard.

Methods and results

Computed tomography scans were used to measure AAC and CAC volume and density in a multiethnic cohort of community-dwelling individuals, and Cox proportional hazard was used to determine their independent association with incident coronary heart disease (CHD, defined as myocardial infarction, resuscitated cardiac arrest, or CHD death), cardiovascular disease (CVD, defined as CHD plus stroke and stroke death), and all-cause mortality. In 997 participants with Agatston AAC and CAC scores >0, the mean age was 66±9 years, and 58% were men. During an average follow-up of 9 years, there were 77 CHD, 118 CVD, and 169 all-cause mortality events. In mutually adjusted models, additionally adjusted for CVD risk factors, an increase in ln(AAC volume) per standard deviation was significantly associated with increased all-cause mortality (hazard ratio=1.20; 95% confidence interval, 1.08-1.33; P<0.01) and an increased ln(CAC volume) per standard deviation was significantly associated with CHD (hazard ratio=1.17; 95% confidence interval, 1.04-1.59; P=0.02) and CVD (hazard ratio=1.20; 95% confidence interval, 1.05-1.36; P<0.01). In contrast, both AAC and CAC density were not significantly associated with CVD events.

Conclusions

The Agatston method of upweighting calcium scores for greater density may be inappropriate for CVD risk prediction in both the abdominal aorta and coronary arteries.

Background and aims

Abdominal aortic calcium (AAC) predicts future cardiovascular disease (CVD) events and all-cause mortality independent of CVD risk factors. The standard AAC score, the Agatston, up-weights for greater calcium density, and thus models higher calcium density as associated with increased CVD risk. We determined associations of CVD risk factors with AAC volume and density (separately).

Methods

In a multi-ethnic cohort of community living adults, we used abdominal computed tomography scans to measure AAC volume and density. Multivariable linear regression was used to determine the period cross-sectional independent associations of CVD risk factors with AAC volume and AAC density in participants with prevalent AAC.

Results

Among 1413 participants with non-zero AAC scores, the mean age was 65 ± 9 years, 52% were men, 44% were European-, 24% were Hispanic-, 18% were African-, and 14% were Chinese Americans (EA, HA, AA, and CA respectively). Median (interquartile range, IQR) for AAC volume was 628 mm³ (157-1939 mm³), and mean AAC density was 3.0 ± 0.6. Compared to EA, each of HA, AA, and CA had lower natural log (ln) AAC volume, but higher AAC density. After adjustments for AAC density, older age, ever smoking history, higher systolic blood pressure, elevated total cholesterol, reduced HDL cholesterol, statin and anti-hypertensive medication use, family history of myocardial infarction, and alcohol consumption were significantly associated with higher ln(AAC volume). In contrast, after adjustments for ln(AAC volume), older age, ever smoking history, higher BMI, and lower HDL cholesterol were significantly associated with lower AAC density.

Conclusions

Several CVD risk factors were associated with higher AAC volume, but lower AAC density. Future studies should investigate the impact of calcium density of aortic plaques in CVD.

Background and aims

This study investigated the associations of non-alcoholic fatty liver disease (NAFLD) and abdominal aortic calcification (AAC) volume and density, and whether these relationships vary by race/ethnicity and/or sex, information that are limited in current literature.

Methods

We studied 1004 adults from the Multi-Ethnic Study of Atherosclerosis to assess the relationship between NAFLD (liver-to-spleen ratio <1) and the following measures of AAC: presence (volume score >0, using Poisson regression); change in volume score (increasing vs. no change, using Poisson regression); and morphology (volume and density score, where volume score >0, using linear regression); and interaction by race/ethnicity and sex.

Results

Among Blacks, those with NAFLD had greater prevalence for AAC compared to Whites regardless of sex (Prevalence Ratio [PR] = 1.41, CI = 1.15-1.74, p-interaction = 0.02). Concurrent interaction by race/ethnicity and sex was found comparing Chinese and Blacks to Whites (p-interaction = 0.017 and 0.042, respectively) in the association between NAFLD and the prevalence of increasing AAC. Among women, this relationship was inverse among Chinese (PR = 0.59, CI = 0.28-1.27), and positive among Whites (PR = 1.34, CI = 1.02-1.76). This finding was reversed evaluating the men counterpart. Black men also had a positive association (PR = 1.86, CI = 1.29-2.70), which differed from the inverse relationship among White men, and was greater compared to Black women (PR = 1.45, CI = 1.09-1.94). NAFLD was unrelated to AAC morphology.

Conclusions

NAFLD was related to the presence of AAC, however, limited to Blacks. Significant concurrent interaction by race/ethnicity (Chinese and Blacks vs. Whites) and sex was found in the relationship between NAFLD and increasing AAC. These findings suggest disparities in the pathophysiologic pathways in which atherosclerosis develops.

Background

The cross-sectional area of total muscle mass has been reported to decrease by about 40% for those 20-60 years of age. Depressive symptoms may discourage motivation to engage in physical activity such as strength training shown to negate muscle loss. Inflammation related to depressive symptoms may also contribute to muscle atrophy. Physiological differences by sex and race/ethnicity may also modify the association between depression and muscle mass. Evidence on the relationship between depression (or depressive symptoms) and adiposity has been mounting; however, little is known about the depressive symptoms-muscle mass association. We sought to determine the association between elevated depressive symptoms (EDS) and lean muscle mass and whether this varies by sex and race/ethnicity.

Methods

Evaluating 1605 adults (45-84 years of age) from the Multi-ethnic Study of Atherosclerosis Abdominal Body Composition, Inflammation and Cardiovascular Disease Study, we examined the cross-sectional association between EDS (Center for Epidemiologic Studies for Depression Scale score≥16 and/or antidepressant use) and computed tomography-measured abdominal lean muscle mass using linear regression. Muscles were evaluated as a whole and by functionality (locomotion vs. stabilization/posture). Covariates included height, body mass index, sociodemographics, comorbidities, inflammatory markers and health behaviors (pack-years of smoking, alcohol locomotion compared to men, total intentional exercise, daily caloric intake). Sex and race/ethnicity were assessed as potential modifiers. Statistical significance was at a p<0.05 for main effects and <0.20 for interaction.

Results

Men with elevated depressive symptoms had 5.9 cm2 lower lean muscle mass for locomotion compared to men without EDS, fully-adjusted (CI=-10.5, -1.4, p=0.011). This was statistically significantly different from the null finding among women (interaction p=0.05). Chinese participants with EDS had 10.2 cm2 lower abdominal lean muscle mass for locomotion compared to those without EDS (fully-adjusted, CI=-18.3, -2.1, p=0.014), which was significantly different from the null relationship among White participants (interaction p=0.04). No association was observed between elevated depressive symptoms and muscle for stabilization/posture evaluating the whole population or stratified by sex or race/ethnicity.

Conclusions

In the presence of elevated depressive symptoms, men and Chinese participants may have lower muscle mass, particularly for locomotion.

Background

Although the bidirectional association between depressive symptoms and adiposity has been recognized, the contribution of neighborhood factors to this relationship has not been assessed.

Objective

This study evaluates whether physical and social neighborhood environments modify the bidirectional relationship between depressive symptoms and adiposity (measured by waist circumference and body mass index).

Methods

Using data on 5,122 men and women (ages 45 to 84 years) from the Multi-Ethnic Study of Atherosclerosis (MESA) we investigated whether neighborhood physical (i.e., walking environment and availability of healthy food) and social (i.e., safety, aesthetics, and social coherence) environments modified the association between the following: (1) baseline elevated depressive symptoms (Center for Epidemiologic Study Depression Scale score ≥ 16) and change in adiposity (as measured by waist circumference and body mass index) and (2) baseline overweight/obesity (waist circumference > 102 cm for men and >88 cm for women, or body mass index ≥ 25 kg/m(2)) and change in depressive symptoms using multilevel models. Neighborhood-level factors were obtained from the MESA Neighborhood Study.

Results

A greater increase in waist circumference in participants with vs without elevated depressive symptoms was observed in those living in poorly-rated physical environments but not in those living in better-rated environments (interaction p = 0.045). No associations were observed with body mass index. Baseline overweight/obesity was not associated with change in depressive symptoms and there was no modification by neighborhood-level factors.

Conclusions

Elevated depressive symptoms were associated with greater increase in waist circumference among individuals living in poorly-rated physical environments than in those in better-rated physical environments. No association was found between overweight/obesity and change in depressive symptoms.

Background

Prior studies have investigated the association of clinical depression and depressive symptoms with body weight (i.e. body mass index (BMI) and waist circumference), but few have examined the association between depressive symptoms and intra-abdominal fat. Of these a limited number assessed the relationship in a multi-racial/ethnic population.

Methods

Using data on 1017 men and women (45-84 years) from the Multi-Ethnic Study of Atherosclerosis (MESA) Body Composition, Inflammation and Cardiovascular Disease Study, we examined the cross-sectional association between elevated depressive symptoms (EDS) and CT-measured visceral fat mass at L2-L5 with multivariable linear regression models. EDS were defined as a Center for Epidemiological Studies Depression score ≥16 and/or anti-depressant use. Covariates included socio-demographics, inflammatory markers, health behaviors, comorbidities, and body mass index (BMI). Race/ethnicity (Whites [referent group], Chinese, Blacks and Hispanics) and sex were also assessed as potential modifiers.

Results

The association between depressive symptoms and visceral fat differed significantly by sex (p=0.007), but not by race/ethnicity. Among men, compared to participants without EDS, those with EDS had greater visceral adiposity adjusted for BMI and age (difference=122.5 cm2, 95% CI=34.3, 210.7, p=0.007). Estimates were attenuated but remained significant after further adjustment by socio-demographics, inflammatory markers, health behaviors and co-morbidities (difference=94.7 cm2, 95% CI=10.5, 178.9, p=0.028). Among women, EDS was not significantly related to visceral adiposity in the fully adjusted model.

Conclusions

Sex, but not race/ethnicity, was found to modify the relationship between EDS and visceral fat mass. Among men, a significant positive association was found between depressive symptoms and visceral adiposity. No significant relationship was found among women.