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Social determinants of health associated with psychological distress stratified by lifetime traumatic brain injury status and sex: Cross-sectional evidence from a population sample of adults in Ontario, Canada

  • Vincy Chan ,

    Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Supervision, Validation, Writing – original draft, Writing – review & editing

    vincy.chan@uhn.ca

    Affiliations KITE-Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada, Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada, Temerty Faculty of Medicine, Rehabilitation Sciences Institute, University of Toronto, Toronto, Ontario, Canada

  • Lauren Marcus,

    Roles Conceptualization, Formal analysis, Writing – review & editing

    Affiliation Temerty Faculty of Medicine, Department of Occupational Science & Occupational Therapy, University of Toronto, Toronto, Ontario, Canada

  • Danielle Burlie,

    Roles Conceptualization, Formal analysis, Writing – review & editing

    Affiliation Temerty Faculty of Medicine, Department of Occupational Science & Occupational Therapy, University of Toronto, Toronto, Ontario, Canada

  • Robert E. Mann †,

    † Deceased.

    Roles Data curation, Funding acquisition, Writing – review & editing

    Affiliations Centre for Addiction and Mental Health, Toronto, Ontario, Canada, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada

  • Danielle Toccalino,

    Roles Writing – review & editing

    Affiliation Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada

  • Michael D. Cusimano,

    Roles Data curation, Writing – review & editing

    Affiliations Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada, St. Michael’s Hospital, Unity Health Toronto, Toronto, Ontario, Canada, Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada

  • Gabriela Ilie,

    Roles Writing – review & editing

    Affiliation Department of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia

  • Angela Colantonio

    Roles Funding acquisition, Resources, Writing – review & editing

    Affiliations KITE-Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada, Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada, Temerty Faculty of Medicine, Rehabilitation Sciences Institute, University of Toronto, Toronto, Ontario, Canada, Temerty Faculty of Medicine, Department of Occupational Science & Occupational Therapy, University of Toronto, Toronto, Ontario, Canada, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada

Abstract

This study identified the social determinants of health (SDoH) associated with psychological distress in adults with and without a self-reported history of traumatic brain injury (TBI), stratified by sex. Data from the 2014–2017 cycles of the Centre for Addiction and Mental Health Monitor Survey, a representative survey of adults ≥18 years in Ontario, Canada, were analyzed (N = 7,214). The six-item version of the Kessler Psychological Distress Scale was used to determine moderate to severe psychological distress. Self-reported lifetime TBI was defined as a head injury resulting in a loss of consciousness for ≥5 minutes or at least one-night stay in the hospital (16.4%). Among individuals reporting a history of TBI, 30.2% of males and 40.1% of females reported psychological distress (p = 0.0109). Among individuals who did not report a history of TBI, 17.9% of males and 23.5% of females reported psychological distress (p<0.0001). Multivariable logistic regression analyses showed that the SDoH significantly associated with elevated psychological distress were similar between individuals with and without a history of TBI. This included unemployment, student, or ‘other’ employment status among both males and females; income below the provincial median and age 65+ among males; and rural residence among females. This study highlighted opportunities for targeted population-level interventions, namely accessible and affordable mental health supports for individuals with lower income. Notably, this study presented evidence suggesting adaptations to existing services to accommodate challenges associated with TBI should be explored, given the finite and competing demands for mental health care and resources.

Introduction

Traumatic brain injury (TBI) has been defined as “an alteration in brain function, or other evidence of brain pathology, caused by an external force” [1]. It is a global public health concern and it is estimated that 50% of the world’s population will experience a TBI in their lifetime [2]. Even a mild TBI (mTBI) can affect every domain of functioning, including an increased risk for adverse mental health [3,4]. In fact, mental health challenges are common among individuals with TBI [5,6]. For example, a recent prospective longitudinal study on patients with mTBI in the emergency department found that 21% of patients had a history of psychiatric disorders and almost 10% of patients experienced depression at 3- and 6-months post-mTBI [7]. Surveillance data on adults with a history of TBI with loss of consciousness (LOC) found that these individuals had higher odds of lifetime depression compared to adults without a lifetime history of TBI with LOC [8]. Furthermore, the presence of mental health disorders are associated with adverse health and health system-level outcomes. For example, research on individuals who received medical attention for a TBI found that those with comorbid mental health disorders were more likely to experience re-hospitalizations, delayed discharge, increased direct medical costs post-TBI, and reduced functional gain during inpatient rehabilitation [912].

Unfortunately, gaps in healthcare and supports across the continuum of care persist for individuals with TBI who also experience mental health challenges [13]. This is problematic because early intervention and access to mental health services and supports are critical to prevent poor mental health and adverse TBI-related outcomes post-injury [6]. In planning health services and supports, it is critical to consider the social determinants of health (SDoH) to promote comprehensive access to care and prevent health inequities [14]. SDoH are social and economic factors that can positively or negatively influence both individual and population health and are globally recognized as some of the most important factors impacting health [15]. For individuals with TBI, the consideration of SDoH in healthcare planning is particularly important because TBI is disproportionately prevalent among individuals with unfavourable SDoH such as unemployment, lower levels of education, and low socioeconomic status [16,17]. Furthermore, a recent report by the Public Health Agency of Canada identified individuals living with disability as one of the populations who experience significant health inequities (others included Indigenous people, sexual and racial minorities, immigrants, individuals with lower income and education level, and those who experience unemployment) [18]. Concurrently, it is well established that adverse SDoH are barriers to accessing mental health care [19,20]. SDoH associated with mental health challenges in population samples that capture individuals with milder TBIs who may not require medical attention must be identified to inform opportunities for targeted public health interventions, as targeted interventions along-side universal policies/interventions has been identified as an actionable practice to advance health equity in Canada [18]. Given the finite and competing demands for mental health care and resources, identifying similar SDoH between individuals with and without TBI may inform opportunities to adapt existing population-level services and supports for individuals with TBI.

The objectives of this study were to determine the prevalence of psychological distress and to identify the SDoH associated with psychological distress in a population sample of adults ≥18 years of age. This study stratified the sample by self-reported lifetime TBI status and sex to create four mutually exclusive subgroups–(1) males with a lifetime history of TBI, (2) females with a lifetime history of TBI, (3) males without a lifetime history of TBI, and (4) females without a lifetime history of TBI. The stratification of the sample by TBI status enabled us to determine similar and different SDoH associated with psychological distress to inform opportunities to adapt existing population-level mental health services and supports for individuals with TBI. The stratification of the sample by sex enabled us to account for the interaction of sex with SDoH and to identify SDoH associated with psychological distress specifically among males and females to inform sex-sensitive interventions. This stratification is particularly important because sex and gender differences in mental health [2123] and in outcomes post-TBI have been reported in both the general population and in specific sub-populations [1012,22,2427]. However, we also acknowledge research studies on TBI and mental health that have reported no sex and/or gender differences; for example, in one study, the reporting of mild depression did not differ between men and women at one year post-TBI [28]. Similarly, population-based studies that assessed the impact of pre-existing mental health disorders found that among both males and females, a history of mental health disorders significantly reduced functional outcome and increased direct medical cost post-injury [11,12]. Similarly, pre-injury mental health was significantly associated with excess mortality among both male and female patients who experienced a mild or severe TBI [29]. The current lack of research explicitly considering sex is a significant limitation that must be addressed, as it is a major barrier to targeted prevention and support for males and females with TBI and mental health challenges [3032].

Methods

This study was approved by the Research Ethics Boards (REB) of the Centre for Addiction and Mental Health (CAMH), University of Toronto, and York University. The reporting of this study followed the Strengthening of the Reporting of Observational Studies in Epidemiology [33] and Sex and Gender Equity in Research guidelines [32].

Sample

Data on participants in the 2014 to 2017 cycles of the CAMH Monitor Surveys were included. The CAMH Monitor is a telephone survey (landlines and cellphones) of Ontario adults ≥18 years of age administered by the Institute for Social Research at York University and is the longest ongoing (since 1977) population survey of mental health and addictions in Ontario, Canada [34]. A two-stage probability selection procedure (household, respondent) using random-digit-dialing methods and Computer Assisted Telephone Interviewing were employed [34]. The response rates were 45% in 2014, 41% in 2015, 38% in 2016, and 35% in 2017 [34]. Informed verbal consent was approved by REB and was obtained from study participants prior to administering the survey; this information was stored in a password-protected computer.

Variables

Lifetime TBI was self-reported based on a definition of a head injury resulting in a loss of consciousness (LOC) (“knocked out”) for at least 5 minutes or at least one night stay in the hospital. Specifically, participants were asked “How many times, if ever in your life, have you had a head injury like this?” [34]. Individuals who self-reported experiencing at least one head injury were determined to have experienced a TBI in their lifetime. This definition is consistent with operational definitions of TBI by Menon and colleagues: “an alteration in brain function (defined as any period of loss of, or decreased, consciousness; any loss of memory for events immediately before or after the injury; neurological deficits; or any alteration in mental state at the time of injury), or other evidence of brain pathology, caused by an external force” [1] and the Diagnostic and Statistical Manual of Mental Disorders Fifth Edition (DSM-V): “an impact to the head or other mechanisms of rapid movement or displacement of the brain within the skull, with one or more of the following: LOC; posttraumatic amnesia; disorientation and confusion; or neurological signs” [35].

The main variable of interest was moderate to severe psychological distress, measured using the six-item version of the Kessler Psychological Distress Scale [(K6); score of 5–12: moderate, score of 13+: serious]. The K6 is a reliable and valid tool to screen for mood and anxiety disorders [3638] across race/culture, gender, and other sub-populations [3946]. The Cronbach’s reliability-coefficient for the six items in this sample was 0.77.

Social, demographic, and economic variables in the CAMH Monitor were categorized into SDoH as listed by the Government of Canada: [15] (1) income and social status: household income [<$70,000 and ≥$70,000, determined based on the median provincial household income in Ontario ($74,287)]; [47] (2) employment and working conditions: employment status (employed, unemployed, retired, student, and other); (3) education and literacy: education (less than high school, completed high school, some post-secondary, technical/college/bachelor’s degree, and postgraduate/professional degree); (4) access to health services: rurality (rural and non-rural), as there is evidence of disparities in access to services across the rural-urban continuum; [48] (5) social supports and coping skills: marital status (married/living with partner, widowed, divorced/separated, and never married), as there is evidence that marital status influences level of perceived social support; [49] (6) biology & genetic endowment: age (18–29, 30–39, 40–49, 50–64, and 65+ years); (7) culture: race (white and racial minority), immigration status (born in Canada and born outside of Canada), and language spoken at home (English and non-English); and (8) sex: sex (male and female) and sexual orientation (heterosexual and non-heterosexual).

Statistical analyses

The sample was stratified by sex and self-reported lifetime TBI status to create four mutually exclusive subgroups–(1) males who reported experiencing a lifetime TBI (herein referred to as ‘males with TBI’, (2) females who reported experiencing a lifetime TBI (females with TBI), (3) males who did not report experiencing a lifetime TBI (males without TBI), and (4) females who did not report experiencing a lifetime TBI (females without TBI). To account for the complex survey data, analyses were conducted using the Taylor Series Linearization in SAS v9.4. The prevalence of moderate to severe psychological distress was determined for the four subgroups and second-order Rao-Scott adjusted chi-square tests were conducted to assess the prevalence of psychological distress between sexes and TBI status. Multivariable logistic regression analyses were conducted to identify SDoH associated with psychological distress for the four subgroups. The final analyses were based on a design with 6 strata (region) and 7,214 participants. All data presented in this study were based on valid responses; participants who responded “don’t know/refused to answer” or that had missing data were excluded from the analyses. Furthermore, the data reported are based on the weighted sample size and are therefore considered representative for the adult population of Ontario.

Results

Among 7,214 participants in the 2014 to 2017 cycles of the CAMH Monitor, 16.4% (95% Confidence Interval [CI]: 15.3%-17.5%) reported experiencing a TBI (N = 1,185). Within this group, 30.2% (95% CI: 25.3%-35.2%) of males and 40.1% (95% CI: 34.4%-46.0%) of females reported psychological distress (p = 0.0109). Among individuals who did not report experiencing a TBI (N = 6,029), 17.9% (95% CI: 15.8%-20.1%) of males and 23.5% (21.7%-25.3%) of females reported psychological distress (p<0.0001). The prevalence of psychological distress was significantly higher among individuals with TBI than those without TBI (males: p<0.0001, females: p<0.0001).

Among males with TBI, the SDoH significantly associated with psychological distress included (1) household income: <$70,000 vs. ≥$70,000 (OR = 2.896, 95% CI: 1.579–5.312); (2) employment status: unemployed (OR = 4.497, 95% CI: 1.372–14.742), student (OR = 5.464, 95% CI: 1.281–23.318), and other (OR = 13.894, 95% CI: 4.474–43.149) vs. employed; (3) marital status: divorced/separated vs. married/living with partner (OR = 2.332, 95% CI: 1.133–4.800); and (4) age ≥65 vs. 50–64 years (OR = 0.330, 95% CI: 0.162–0.674).

Among males without TBI, the SDoH significantly associated with psychological distress included (1) household income: <$70,000 vs. ≥$70,000 (OR = 1.449, 95% CI: 1.020–2.057); (2) employment status: unemployed (OR = 4.157, 95% CI: 2.022–8.548), student (OR = 2.236, 95% CI: 1.107–4.519), and other (OR = 4.443, 95% CI: 2.091–9.443) vs. employed; (3) education: post-graduate/professional degree vs. technical/college/bachelor’s degree (OR = 0.569, 95% CI: 0.338–0.956); (4) marital status: widowed vs. married/living with partner (OR = 1.721; 95% CI: 1.009–2.938); (5) age 30–39 vs. 50–64 years (OR = 1.990; 95% CI: 1.271–3.116); and (6) sexual orientation: non-heterosexual vs. heterosexual (OR = 2.189, 95% CI: 1.104–4.339).

Among females with TBI, the SDoH significantly associated with psychological distress included: (1) employment status: other vs. employed (OR = 5.765, 95% CI: 1.669–19.559); (2) education: <high school vs. technical/college/bachelor’s degree (OR = 2.829, 95% CI: 1.187–6.747), post-graduate/professional degree vs. technical/college/bachelor’s degree (OR = 0.414, 95% CI: 0.173–0.991); and (3) rurality: rural vs. non-rural (OR = 2.204, 95% CI: 1.116–4.354).

Among females without TBI, the SDoH significantly associated with psychological distress included: (1) household income: <$70,000 vs. ≥$70,000 (OR = 1.452: 1.132–1.863); (2) employment status: other vs. employed (OR = 2.699, 95% CI: 1.536–4.742); (3) rurality: rural vs. non-rural (OR = 0.602; 95% CI: 0.443–0.819); (4) age ≥65 vs. 50–64 years (OR = 0.620, 95% CI: 0.448–0.860); (5) sexual orientation: non-heterosexual vs. heterosexual (OR = 2.753; 95% CI: 1.567–4.838).

Table 1 presents a visual comparison of SDoH significantly associated with psychological distress among the four subgroups. Tables 2 and 3 present the prevalence of psychological distress and results from the multivariable logistic regressions of SDoH and psychological distress among males and females, respectively.

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Table 1. Visual comparison of the SDoH associated with psychological distress, by sex and TBI status, from multivariable logistic regression models.

https://doi.org/10.1371/journal.pone.0273072.t001

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Table 2. Prevalence of psychological distress and multivariable logistic regression analyses of SDoH and psychological distress among males with and without TBI.

https://doi.org/10.1371/journal.pone.0273072.t002

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Table 3. Prevalence of psychological distress and multivariable logistic regression analyses of SDoH and psychological distress among females with and without TBI.

https://doi.org/10.1371/journal.pone.0273072.t003

Discussion

This study identified SDoH associated with psychological distress among Ontarian adults, by sex and self-reported TBI status. Several key findings were identified from this study. First, psychological distress is prevalent among Ontarian adults, particularly among individuals with TBI. Second, SDoH significantly associated with psychological distress were similar between individuals with and without a self-reported lifetime history of TBI. Third, specifically among individuals who reported experiencing a TBI, the SDoH associated with psychological distress differed by sex.

In this population sample of Ontario adults, 30.2% of males and 40.1% of females with TBI, and 17.9% of males and 23.5% of females without TBI, reported experiencing moderate to serious psychological distress. The prevalence of psychological distress was significantly higher among individuals with TBI and, regardless of TBI status, the prevalence of psychological distress was higher among females compared to males. First, this sex difference in the reporting of psychological distress is not surprising, as it is well-documented that anxiety and depression are more common among females [2123]. We acknowledge that this study assessed self-reported psychological distress; as such, this finding may also reflect differences observed in the reporting of health challenges among males and females [50]. However, in this population sample representative of Ontario adults, an alarmingly high prevalence of psychological distress was reported among both males and females with TBI. This highlights the urgent need to screen for mental health challenges among individuals with TBI to prevent poor prognosis and enable post-injury care, including rehabilitation, and to consider the potential impact of psychological distress on treatment [6]. This current study did not include the provision of mental health or TBI resources to participants at the end of the survey (e.g., hotline or websites of mental health or brain injury supports services); future research, including phone surveys such as the CAMH Monitor, are encouraged to consider the feasibility of providing such resources at the end of the survey to maximize the availability of support for individuals with experiences of psychological distress and/or TBI. We also acknowledge that another variable captured in the SDoH of sex was sexual orientation, which was significantly associated with increased odds of reporting psychological distress only among individuals without TBI. However, this finding should be interpreted with caution given the smaller sample of individuals identifying as non-heterosexual.

Overall, the SDoH associated with psychological distress identified in this study suggests that accessible and affordable mental health supports for individuals with lower income must be available. Furthermore, findings from the multivariable logistic regression analyses of the four subgroups showed that the SDoH associated with psychological distress were similar among adults with and without TBI. This included employment (unemployed, student status, and other employment) among both males and females; income below the provincial median and age 65+ among males; and rural residence among females. This suggests that opportunities to adapt existing population-level mental health services and supports for individuals with TBI should be explored, particularly those that are already targeting individuals experiencing these adverse SDoH. This approach is consistent with a report from the Public Health Agency of Canada, which lists “deploy[ing] a combination of targeted interventions and universal policies/ interventions” as one of the key actions to advance health equity within the Canadian context [18]. For TBI, this may include accommodations at the level of acute care and rehabilitation care to address cognitive challenge experienced by individuals with TBI. These accommodations can address potential barriers associated with participation and attendance and may include reminder calls or alerts to attend appointments or sessions or using a ‘teach-back’ method to check for understanding [30,5153]. Furthermore, education on TBI for healthcare professionals within mental health settings should be explored to enable them to recognize clients with TBI so delays in treatments may be prevented [54] and existing services may be adapted to address unique challenges associated with TBI [30].

Specifically, among individuals who reported experiencing a lifetime TBI, the SDoH associated with psychological distress differed by sex. Income, marital status, and age were significant determinants among males only, while education and rural residence were significant among females only. First, this finding complements the growing literature on sex differences as predictors of and influencing factors in health and health outcomes among individuals with TBI [1012,21,22,2427] and reiterates the importance of integrating sex and gender considerations in TBI research [3033]. Second, while we stratified the data by sex, the influence of gender cannot be dismissed. For example, gender, income, employment, and education are inter-related; research has shown that women are significantly less likely to be engaged in full-time work and have significantly lower average pre-injury income [5557]. Concurrently, education is correlated with income and employment opportunities [58], while pay gaps between men and women as well as women-dominated vs. men-dominated occupations exist [59]. Finally, we acknowledge this study accounted for the interaction of sex with SDoH through sex-stratified analyses. Thus, this study identified the SDoH significantly associated with psychological distress by sex, and not sex differences in the magnitude of the associations. Research to determine the extent to which males and females with specified SDoH experience psychological distress differently should be conducted to further inform interventions that are sensitive to the unique needs of males and females. Overall, research must continue to consider the intersection of sex, gender, and SDoH in design, analysis, and interpretation to support best practices and science [3033].

Limitations and strengths

A key limitation is that individuals without access to a landline or cellphone [34] or who are institutionalized are excluded from this study. In addition, participants who consented to participate in the CAMH Monitor may represent a different population in terms of experiences of SDoH and psychological distress, compared to participants who did not provide consent to participate. We are unable to assess the impact of this non-response bias in our study. We also recognize that individuals with more severe TBI or cognitive deficits who may have difficulty following the questions of the survey or those experiencing unfavourable SDoH may also be under-represented in CAMH Monitor participants. However, among participants of this survey, there was no significant difference between individuals with and without TBI who reported the survey as difficult (7.4% and 6.9%, respectively, p = 0.8798). Second, individuals who cannot speak or understand English were excluded from participation as a translator/translated survey was not available; this may explain the small sample of individuals in the survey who reported speaking non-English language at home and the lack of statistically significant findings on the SDoH of culture. Third, the screening question used to detect self-reported TBI may miss individuals with mild TBIs who did not require a one-night stay in the hospital or experience a LOC for at least 5 minutes. As such, the sample of individuals with TBI is likely underestimated and the findings may not be applicable to the experiences of all individuals who experience a TBI across the continuum of severity. Importantly, the CAMH Monitor does not include information on the characteristics of the TBI, such as mechanism of injury or injury severity. This is a limitation, as outcomes after TBI often depends on both the quality of healthcare provided as well as injury characteristics, such as cause of injury and injury severity [2]. Finally, we also acknowledge that the CAMH Monitor does not capture all SDoH and none of the categories of SDoH identified in this study are comprehensively described. Risk of recall and non-response bias are also present, as only valid responses were included and data were self-reported. However, self-reported TBI is considered the gold standard to comprehensively identify lifetime TBI in research, [60] and the K6 is a valid and reliable tool to screen for psychological distress [3638]. Finally, we acknowledge that associations identified in this study may be bi-directional in nature and causal inferences cannot be made from cross-sectional surveys.

Despite these limitations, a key strength of this study is the large overall sample size and that the CAMH Monitor captures a geographically representative sample of Ontarian adults. The screening of TBI at the population level also captured individuals with TBI who may not seek medical attention for their TBI, as it has been noted that relying on medical records is insufficient to detect lifetime history of TBI [60,61]. As current estimates of TBI and psychological distress primarily rely on health system level data that only capture TBI and mental health seen in healthcare settings, this study is a valuable addition to the literature. Finally, this study stratified the sample by sex to account for the interaction of sex with SDoH and to identify the SDoH associated with psychological distress specifically among males and females to inform sex-sensitive interventions.

Conclusion

Psychological distress is prevalent among Ontarian adults, particularly among those with TBI; 30.2% of males and 40.1% of females with TBI and 17.9% of males and 23.5% of females without TBI reported experiencing moderate to severe psychological distress. This study highlights the need to identify and address psychological distress, particularly in those with TBI, so post-injury care can consider the potential impact of psychological distress on treatment choice, adherence, and outcomes. The SDoH associated with psychological distress among individuals with and without TBI were similar, suggesting that adaptations to existing population-level mental health services and supports may be opportunities to support individuals with TBI, given the finite and competing demands of mental health care resources. Finally, among individuals with TBI, the SDoH associated with psychological distress differed by sex, further highlighting the importance of considering the intersection of sex, gender, and SDoH in research design, analysis, and interpretation of findings to inform interventions that are sensitive to the unique needs of males and females.

References

  1. 1. Menon DK, Schwab K, Wright DW, Maas AI, Demographics, Clinical Assessment Working Group of the I, Interagency Initiative toward Common Data Elements for Research on Traumatic Brain I, Psychological H. Position statement: definition of traumatic brain injury. Arch Phys Med Rehabil. 2010;91(11):1637–40.
  2. 2. Maas AIR, Menon DK, Adelson PD, Andelic N, Bell MJ, Belli A, et al. Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research. Lancet Neurol. 2017;16(12):987–1048. pmid:29122524
  3. 3. Whiteneck GG, Cuthbert JP, Corrigan JD, Bogner JA. Risk of Negative Outcomes After Traumatic Brain Injury: A Statewide Population-Based Survey. J Head Trauma Rehabil. 2016;31(1):E43–E54. pmid:25931188
  4. 4. Whiteneck GG, Cuthbert JP, Corrigan JD, Bogner JA. Prevalence of Self-Reported Lifetime History of Traumatic Brain Injury and Associated Disability: A Statewide Population-Based Survey. J Head Trauma Rehabil. 2016;31(1):E55–E62. pmid:25931187
  5. 5. Schwarzbold M, Diaz A, Martins ET, Rufino A, Amante LN, Thais ME, et al. Psychiatric disorders and traumatic brain injury. Neuropsychiatric disease and treatment. 2008;4(4):797–816. pmid:19043523
  6. 6. Rees L, Janzen S, McCarthy D, Weiser M, Teasell R, Marshall S. 8. Mental Health Issues Post Acquired Brain Injury Toronto, ON [Available from: https://erabi.ca/modules/module-8/.
  7. 7. Stein MB, Jain S, Giacino JT, Levin H, Dikmen S, Nelson LD, et al. Risk of Posttraumatic Stress Disorder and Major Depression in Civilian Patients After Mild Traumatic Brain Injury: A TRACK-TBI Study. JAMA Psychiatry. 2019;76(3):249–58. pmid:30698636
  8. 8. Waltzman D, Daugherty J, Sarmiento K, Proescholdbell S. Lifetime History of Traumatic Brain Injury With Loss of Consciousness and the Likelihood for Lifetime Depression and Risk Behaviors: 2017 BRFSS North Carolina. The Journal of Head Trauma Rehabilitation. 2020;Publish Ahead of Print.
  9. 9. Kucukboyaci NE, Long C, Smith M, Rath JF, Bushnik T. Cluster Analysis of Vulnerable Groups in Acute Traumatic Brain Injury Rehabilitation. Arch Phys Med Rehabil. 2018;99(11):2365–9. pmid:29317223
  10. 10. Chan V, Mollayeva T, Ottenbacher KJ, Colantonio A. Sex-Specific Predictors of Inpatient Rehabilitation Outcomes After Traumatic Brain Injury. Arch Phys Med Rehabil 2016;97(5):772–80. pmid:26836952
  11. 11. Chan V, Sutton M, Mollayeva T, Escobar MD, Hurst M, Colantonio A. Data Mining to Understand How Health Status Preceding Traumatic Brain Injury Affects Functional Outcome: A Population-Based Sex-Stratified Study. Arch Phys Med Rehabil. 2020;101(9):1523–31. pmid:32544398
  12. 12. Chan V, Hurst M, Petersen T, Liu J, Mollayeva T, Colantonio A, et al. A population-based sex-stratified study to understand how health status preceding traumatic brain injury affects direct medical cost. PLOS ONE. 2020;15(10):e0240208. pmid:33048973
  13. 13. Munce SEP, Vander Laan R, Levy C, Parsons D, Jaglal SB. Systems analysis of community and health services for acquired brain injury in Ontario, Canada. Brain Inj. 2014;28(8):1042–51. pmid:24654624
  14. 14. Mollayeva T, Tran A, Chan V, Colantonio A, Escobar MD. Sex-specific analysis of traumatic brain injury events: applying computational and data visualization techniques to inform prevention and management. BMC Medical Research Methodology. 2022;22(1):30. pmid:35094688
  15. 15. Social determinants of health and health inequalities Ottawa: Governemnt of Canada; [Available from: https://www.canada.ca/en/public-health/services/health-promotion/population-health/what-determines-health.html.
  16. 16. Kisser J, Waldstein SR, Evans MK, Zonderman AB. Lifetime prevalence of traumatic brain injury in a demographically diverse community sample. Brain Inj. 2017;31(5):620–3. pmid:28326858
  17. 17. Hwang SW, Colantonio A, Chiu S, Tolomiczenko G, Kiss A, Cowan L, et al. The effect of traumatic brain injury on the health of homeless people. CMAJ. 2008;179(8):779–84. pmid:18838453
  18. 18. Key Health Inequalities in Canada: A National Portrait Ottawa, ON.: Public Health Agency of Canada; 2018.
  19. 19. Slaunwhite AK. The Role of Gender and Income in Predicting Barriers to Mental Health Care in Canada. Community Ment Health J. 2015;51(5):621–7. pmid:25563485
  20. 20. Steele L, Dewa C, Lee K. Socioeconomic status and self-reported barriers to mental health service use. Can J Psychiatry. 2007;52(3):201–6. pmid:17479529
  21. 21. Smith KLW, Matheson FI, Moineddin R, Dunn JR, Lu H, Cairney J, et al. Gender differences in mental health service utilization among respondents reporting depression in a national health survey. Health. 2013;5:1561–71.
  22. 22. Yue JK, Levin HS, Suen CG, Morrissey MR, Runyon SJ, Winkler EA, et al. Age and sex-mediated differences in six-month outcomes after mild traumatic brain injury in young adults: a TRACK-TBI study. Neurol Res. 2019;41(7):609–23. pmid:31007155
  23. 23. Green T, Flash S, Reiss AL. Sex differences in psychiatric disorders: what we can learn from sex chromosome aneuploidies. Neuropsychopharmacology. 2019;44(1):9–21. pmid:30127341
  24. 24. Farace E, Alves WM. Do women fare worse: a metaanalysis of gender differences in traumatic brain injury outcome. Journal of Neurosurgery. 2000;93(4):539. pmid:11014529
  25. 25. Bazarian JJ, Blyth B, Mookerjee S, He H, McDermott MP. Sex differences in outcome after mild traumatic brain injury. J Neurotrauma. 2010;27(3):527–39. pmid:19938945
  26. 26. Covassin T, Savage JL, Bretzin AC, Fox ME. Sex differences in sport-related concussion long-term outcomes. International journal of psychophysiology: official journal of the International Organization of Psychophysiology. 2018;132(Pt A):9–13. pmid:28927725
  27. 27. Levin HS, Temkin NR, Barber J, Nelson LD, Robertson C, Brennan J, et al. Association of Sex and Age With Mild Traumatic Brain Injury–Related Symptoms: A TRACK-TBI Study. JAMA Network Open. 2021;4(4):e213046–e. pmid:33822070
  28. 28. Lavoie S, Sechrist S, Quach N, Ehsanian R, Duong T, Gotlib IH, Isaac L. Depression in Men and Women One Year Following Traumatic Brain Injury (TBI): A TBI Model Systems Study. Frontiers in Psychology. 2017;8.
  29. 29. Mollayeva T, Hurst M, Chan V, Escobar M, Sutton M, Colantonio A. Pre-injury health status and excess mortality in persons with traumatic brain injury: A decade-long historical cohort study. Preventive medicine. 2020;139:106213. pmid:32693173
  30. 30. Chan V, Toccalino D, Omar S, Shah R, Colantonio A. A systematic review on integrated care for traumatic brain injury, mental health, and substance use. PLOS ONE. 2022;17(3):e0264116. pmid:35239715
  31. 31. Health Quality Ontario Indicator Library: Health Quality Ontario; [Available from: http://indicatorlibrary.hqontario.ca/Indicator/Search/EN.
  32. 32. Heidari S, Babor TF, De Castro P, Tort S, Curno M. Sex and Gender Equity in Research: rationale for the SAGER guidelines and recommended use. Research Integrity and Peer Review. 2016;1(1):2. pmid:29451543
  33. 33. von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Preventive medicine. 2007;45(4):247–51. pmid:17950122
  34. 34. Ialomiteanu AR, Adlaf EM, Mann RE. CAMH Monitor 2017: Metadata User’s eGuide. Toronto, Ontario: Centre for Addiction & Mental Health; 2018.
  35. 35. Diagnostic and statistical manual of mental disorders: American Psychiatric Association; 2013.
  36. 36. Kessler RC, Barker PR, Colpe LJ, Epstein JF, Gfroerer JC, Hiripi E, et al. Screening for serious mental illness in the general population. Arch Gen Psychiatry. 2003;60(2):184–9. pmid:12578436
  37. 37. Kessler RC, Green JG, Gruber MJ, Sampson NA, Bromet E, Cuitan M, et al. Screening for serious mental illness in the general population with the K6 screening scale: results from the WHO World Mental Health (WMH) survey initiative. Int J Methods Psychiatr Res. 2010;19 Suppl 1:4–22. pmid:20527002
  38. 38. Prochaska JJ, Sung HY, Max W, Shi Y, Ong M. Validity study of the K6 scale as a measure of moderate mental distress based on mental health treatment need and utilization. Int J Methods Psychiatr Res. 2012;21(2):88–97. pmid:22351472
  39. 39. Turner NE, McDonald AJ, Ialomiteanu AR, Mann RE, McCready J, Millstone D, et al. Moderate to severe gambling problems and traumatic brain injury: A population-based study. Psychiatry Res. 2019;272:692–7. pmid:30832188
  40. 40. Vissoci JRN, Vaca SD, El-Gabri D, de Oliveira LP, Mvungi M, Mmbaga BT, et al. Cross-cultural adaptation and psychometric properties of the Kessler Scale of Psychological Distress to a traumatic brain injury population in Swahili and the Tanzanian Setting. Health Qual Life Outcomes. 2018;16(1):147. pmid:30053816
  41. 41. Min JW, Lee SH. Validation of the K6/K10 Scales of Psychological Distress and Their Optimal Cutoff Scores for Older Koreans. Int J Aging Hum Dev. 2015;80(3):264–82. pmid:26195502
  42. 42. Furukawa TA, Kessler RC, Slade T, Andrews G. The performance of the K6 and K10 screening scales for psychological distress in the Australian National Survey of Mental Health and Well-Being. Psychol Med. 2003;33(2):357–62. pmid:12622315
  43. 43. Oakley Browne MA, Wells JE, Scott KM, McGee MA, New Zealand Mental Health Survey Research T. The Kessler Psychological Distress Scale in Te Rau Hinengaro: the New Zealand Mental Health Survey. Aust N Z J Psychiatry. 2010;44(4):314–22.
  44. 44. Sakurai K, Nishi A, Kondo K, Yanagida K, Kawakami N. Screening performance of K6/K10 and other screening instruments for mood and anxiety disorders in Japan. Psychiatry Clin Neurosci. 2011;65(5):434–41. pmid:21851452
  45. 45. Mitchell CM, Beals J. The utility of the Kessler Screening Scale for Psychological Distress (K6) in two American Indian communities. Psychol Assess. 2011;23(3):752–61. pmid:21534694
  46. 46. Drapeau A, Beaulieu-Prevost D, Marchand A, Boyer R, Preville M, Kairouz S. A life-course and time perspective on the construct validity of psychological distress in women and men. Measurement invariance of the K6 across gender. BMC Med Res Methodol. 2010;10:68. pmid:20663128
  47. 47. 2016 Census Highlights: Factsheet 7 Income: Ontario Ministry of Finance 2016 [Available from: https://www.fin.gov.on.ca/en/economy/demographics/census/cenhi16-7.html.
  48. 48. Sibley LM, Weiner JP. An evaluation of access to health care services along the rural-urban continuum in Canada. BMC Health Serv Res. 2011;11:20. pmid:21281470
  49. 49. Soulsby LK, Bennett KM. Marriage and psychological wellbeing: The role of social support Psychology. 2015(6):1349–59.
  50. 50. Thompson AE, Anisimowicz Y, Miedema B, Hogg W, Wodchis WP, Aubrey-Bassler K. The influence of gender and other patient characteristics on health care-seeking behaviour: a QUALICOPC study. BMC Family Practice. 2016;17(1):38. pmid:27036116
  51. 51. Gallagher M, McLeod HJ, McMillan TM. A systematic review of recommended modifications of CBT for people with cognitive impairments following brain injury. Neuropsychol Rehabil. 2019;29(1):1–21. pmid:27873549
  52. 52. Cole MA, Muir JJ, Gans JJ, Shin LM, D’Esposito M, Harel BT, et al. Simultaneous Treatment of Neurocognitive and Psychiatric Symptoms in Veterans with Post-Traumatic Stress Disorder and History of Mild Traumatic Brain Injury: A Pilot Study of Mindfulness-Based Stress Reduction. Mil Med. 2015;180(9):956–63. pmid:26327547
  53. 53. Wolf GK, Mauntel GJ, Kretzmer T, Crawford E, Thors C, Strom TQ, et al. Comorbid Posttraumatic Stress Disorder and Traumatic Brain Injury: Generalization of Prolonged-Exposure PTSD Treatment Outcomes to Postconcussive Symptoms, Cognition, and Self-Efficacy in Veterans and Active Duty Service Members. J Head Trauma Rehabil. 2018;33(2):E53–e63. pmid:28926486
  54. 54. Albrecht JS, O’Hara LM, Moser KA, Mullins CD, Rao V. Perception of Barriers to the Diagnosis and Receipt of Treatment for Neuropsychiatric Disturbances After Traumatic Brain Injury. Arch Phys Med Rehabil. 2017;98(12):2548–52. pmid:28688786
  55. 55. Haag HL, Caringal M, Sokoloff S, Kontos P, Yoshida K, Colantonio A. Being a Woman With Acquired Brain Injury: Challenges and Implications for Practice. Arch Phys Med Rehabil. 2016;97(2 Suppl):S64–70. pmid:25666783
  56. 56. Chang VC, Ruseckaite R, Collie A, Colantonio A. Examining the epidemiology of work-related traumatic brain injury through a sex/gender lens: analysis of workers’ compensation claims in Victoria, Australia. Occup Environ Med. 2014;71(10):695–703. pmid:25052083
  57. 57. Corrigan JD, Lineberry LA, Komaroff E, Langlois JA, Selassie AW, Wood KD. Employment After Traumatic Brain Injury: Differences Between Men and Women. Archives of Physical Medicine and Rehabilitation. 2007;88(11):1400–9. pmid:17964879
  58. 58. Does education pay? A comparison of earnings by level of education in Canada and its provinces and territories: Statistics Canada; 2017 [Available from: https://www12.statcan.gc.ca/census-recensement/2016/as-sa/98-200-x/2016024/98-200-x2016024-eng.cfm.
  59. 59. Table 14-10-0307-01 Employee wages by occupation, annual, inactive: Statistics Canada; [Available from: https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1410030701].
  60. 60. 2. Diagnosis and Assessment of Traumatic Brain Injury: National Academies of Sciences, Engineering, and Medicine; 2019.
  61. 61. James SL, Theadom A, Ellenbogen RG, Bannick MS, Montjoy-Venning W, Lucchesi LR, et al. Global, regional, and national burden of traumatic brain injury and spinal cord injury, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. The Lancet Neurology. 2019;18(1):56–87. pmid:30497965