Linking the GAD-7 and PHQ-9 to the TBI-QOL Anxiety and Depression Item Banks

The Impact of Non-Pain Factors on Pain Interference Among U.S. Service Members and Veterans with Symptoms of Mild Traumatic Brain Injury

U.S. Service members and Veterans (SM/V) experience elevated rates of traumatic brain injury (TBI), chronic pain, and other non-pain symptoms. However, the role of non-pain factors on pain interference levels remains unclear among SM/Vs, particularly those with a history of TBI. The primary objective of this study was to identify factors that differentiate high/low pain interference, given equivalent pain intensity among U.S. SM/V participating in the ongoing Long-term Impact of Military-relevant Brain Injury Consortium-Chronic Effects of Neurotrauma Consortium (LIMBIC-CENC) national multi-center prospective longitudinal observational study. An explainable machine learning was used to identify key predictors of pain interference conditioned on equivalent pain intensity. The final sample consisted of n = 1,577 SM/Vs who were predominantly male (87%), and 83.6% had a history of mild TBI(s) (mTBI), while 16.4% were TBI negative controls. The sample was categorized according to pain interference level (Low: 19.9%, Moderate: 52.5%, and High: 27.6%). Both pain intensity scores and pain interference scores increased with the number of mTBIs (p < 0.001), and there was evidence of a dose response between the number of injuries and pain scores. Machine learning models identified fatigue and anxiety as the most important predictors of pain interference, whereas emotional control was protective. Partial dependence plots identified that marginal effects of fatigue and anxiety were associated with pain interference (p < 0.001), but the marginal effect of mTBI was not significant in models considering all variables (p > 0.05). Non-pain factors are associated with functional limitations and disability experience among SM/V with an mTBI history. The functional effects of pain may be mediated through multiple other factors. Pain is a multi-dimensional experience that may benefit most from holistic treatment approaches that target comorbidities and build supports that promote recovery.

Dementia and Depression Among Older Adults Following Traumatic Brain Injury

Traumatic brain injuries are increasingly common in older adults and represent a substantial source of morbidity and mortality for this population. In addition to the impact from the primary insult, TBI can lead to a variety of chronic neurocognitive conditions including dementia, depression, and sleep disturbances. When caused by TBI, these conditions differ importantly from their non-TBI-related counterparts. Much about how TBI relates to the development of these conditions is unknown, and more research is needed to further elucidate optimal treatment strategies.

Anxiety and Depression during the Second Wave of the COVID-19 Pandemic: The Role of Coping Strategies

BACKGROUND

Evidence suggests increased anxious-depressive symptoms in the general population during the COVID-19 pandemic, also in its second wave. High symptom variability across individuals suggests that risk and protective factors, including coping strategies, can play a mediating role.

METHODS

General Anxiety Disorder-7, Patient Health Questionnaire-9, and Brief-COPE questionnaires were administered to people attending a COVID-19 point-of-care. Univariate and multivariate methods were used to test the association of symptoms with risk and protective factors.

RESULTS

A total of 3509 participants (27.5% with moderate-severe anxiety; 12% with depressive symptoms) were recruited. Sociodemographic and lifestyle factors, including age, sex, sleep, physical activity, psychiatric treatments, parenthood, employment, and religiosity were associated with affective symptoms. Avoidant (self-distraction, venting, behavioral disengagement) and approach (emotional support, self-blame but not positive reframing and acceptance) coping strategies predicted greater anxiety. Avoidant strategies, including venting, denial, behavioral disengagement, substance use, and self-blame, and the humor strategy were associated with more severe depressive symptoms, while the planning predicted the opposite.

CONCLUSIONS

Coping strategies, in addition to socio-demographic and life-habit factors, could have contributed to modulating anxious and depressive symptoms during the second-wave of the COVID-19 pandemic, thus advocating for interventions aimed at promoting positive coping strategies to reduce the psychosocial toll of the pandemic.

Equating the PHQ-9 and GAD-7 to the HADS depression and anxiety subscales in patients with major depressive disorder

OBJECTIVE

The present study aimed to equate the 9-item Patient Health Questionnaire (PHQ-9) and 7-item Generalized Anxiety Disorder Scale (GAD-7) to the Hospital Anxiety and Depression Scale (HADS) depression and anxiety subscales (HADS-D,HADS-A) respectively in patients with major depressive disorder (MDD) and generate crosswalks of raw scores.

METHODS

As it is a single group design that adopts common-person equating method, a total of 460 patients with MDD completed the PHQ-9, GAD-7 and HADS at the same time. Rasch analysis was used to filter out invalid participants, investigate the psychometric properties of test items and participants, link the PHQ-9 and HADS-D as well as GAD-7 and HADS-A, and produce conversion tables respectively. The differences between original scores and converted scores were analyzed to validate the crosswalks.

RESULT

401 samples of depression part and 396 samples of anxiety part were left for final samples. Both the PHQ-9 / HADS-D and GAD-7 / HADS-A combined analysis adequately fit the unidimensional Rasch model, demonstrated acceptable reliability and item-person targeting and showed no disordering category. Slight differential item functioning across gender was found in item PHQ9 and item GAD6. The crosswalks were generated and verified to be validity.

LIMITATIONS

The results might be restricted to patients with MDD recruited in a single mental health center.

CONCLUSION

The PHQ-9, GAD-7 and HADS depression and anxiety subscales were successfully linked, producing conversion tables that could be used for directly converting raw score from one instrument to the other.

Predicting Concussion Recovery with PHQ-9 and GAD-7

OBJECTIVE

To determine whether scores obtained from Patient Health Questionnaire-9 (PHQ-9) or the General Anxiety Disorder-7 (GAD-7) instruments administered following a concussion can be used to predict recovery time.

METHOD

Retrospective cohort study in a university-based specialty concussion center of 502 concussed participants. Participants completed a PHQ-9 and GAD-7 during their initial visit and subsequent visits during the recovery period (ie, at 14, 28, 56, and 84 days).

RESULTS

The median recovery time from a concussion was 21 days from the initial clinical evaluation; however, individuals with a PHQ-9 score ≤ 6 (n = 262) had a median recovery time of 17 (95% confidence interval [CI] 15-19) days, whereas those with PHQ-9 scores >6 (n = 240) had a median recovery time of 33 (95% CI 28-37) days and a hazard ratio of 0.525 (95% CI 0.438-0.629, P < 0.0001). For individuals with a GAD-7 score ≤ 4 (n = 259), the median recovery was 19 (95% CI 17-21), days whereas for those with a GAD-7 score > 4 (n = 243), the median recovery was 32 (95% CI 28-36) days with a hazard ratio of 0.554 (95% CI 0.462-0.664, P < 0.00).

CONCLUSIONS

Scores obtained from PHQ-9 and GAD-7 screening tools appear to be predictive of an individual's recovery and may help identify those subjects who may benefit from early psychological interventions.