Hallah Kassem
M. Anne Harris1- 1School of Occupational and Public Health, Toronto Metropolitan University, Toronto, ON, Canada
- 2Department of Chief and Council, Fort Albany First Nation, Fort Albany, ON, Canada
Introduction: We examined associations between traditional Indigenous activities and self-perceived general and mental health in adult Indigenous persons living off-reserve in Canada using the 2012 and 2017 Aboriginal Peoples Surveys (APS), the two most recent datasets. We utilized four traditional Indigenous activities including hunting, making clothes or footwear, making arts or crafts, and gathering wild plants to investigate these self-reported data.
Methods: Data from 9,430 and 12,598 respondents from the 2012 and 2017 APS, respectively, who responded to 15 questions concerning traditional activities were assessed using multivariable logistic regression to produce odds ratios (OR) and 95% confidence intervals (CI). Covariates included age, sex, education-level, income-level, Indigenous identity, residential school connection, ability to speak an Indigenous language, smoking status, and alcohol consumption frequency.
Results: Using the 2012 APS, clothes-making was associated with poor self-reported general (OR = 1.50, 95%CI: 1.12–1.99) and mental (OR = 1.59, 95%CI: 1.14–2.21) health. Hunting was associated with good mental health (OR = 0.71 95%CI: 0.56–0.93). Similarly, 2017 analyses found clothes-making associated with poor general health (OR = 1.25, 95%CI: 1.01–1.54), and hunting associated with good general (OR = 0.76, 95%CI: 0.64–0.89) and mental (OR = 0.69, 95%CI: 0.58–0.81) health. Artmaking was associated with poor general (OR = 1.37, 95%CI: 1.17–1.60) and mental (OR = 1.85, 95%CI: 1.58–2.17) health.
Conclusion: Hunting had protective relationships with mental and general health, which may reflect benefits of participation or engagement of healthier individuals in this activity. Clothes-making and artmaking were associated with poor general and poor mental health, possibly representing reverse causation as these activities are often undertaken therapeutically. These findings have implications for future research, programs and policies concerning Indigenous health.
1 Introduction
The health of Indigenous peoples in Canada has been significantly impacted by colonization. These impacts range from epidemics of the foreign diseases that accompanied the first arrivals of Europeans, to present day generational health inequities resulting from systemic discrimination and colonial policies like the Indian Act and the Residential Schools system (1, 2). In the 1830s, colonizers dispossessed Indigenous peoples by forcing them onto reserve land to make way for European settlers (3). In 1876, shortly after the creation of the Dominion of Canada, the Indian Act was passed with the ultimate goal of European assimilation of Indigenous peoples with clauses, since removed, restricting movement of Indigenous peoples outside of reserves and outlawing Indigenous ceremonies (4, 5). This act remains largely unchanged today and regulates taxation, governance, and rights to land, and recognizes and affirms the rights of First Nations peoples' as independent groups (4–6). The federally funded and church run Residential School System, largely modeled after Egerton Ryerson's study of native education, sought to erase Indigenous cultures by forcefully taking Indigenous children, preventing them from speaking their languages and practicing their culture, and inculcate Eurocentric practices. Horrifically, these facilities had high rates of physical and sexual abuse, disease, and death with mass graves of children still being rediscovered (7).
In 1876, the Indian Act prohibited anyone from living on reserve who was not “Status Indian” which was defined as males of Indian blood and their children and wives (3, 8). This lumped many nations into one category of First Nations and excluded many Indigenous groups including Inuit and Métis peoples, giving them no legal right to reserve land (3, 8). Today, three groups of Indigenous peoples are recognized in the Canadian Constitution: First Nations, Inuit and Métis. In 2016, 40% of Status First Nations people lived on a reserve with 60% living off-reserve, that is, with primary residence anywhere in Canada outside of the eight census subdivision types legally affiliated with First Nations or Indian bands (9). Although these groups are all native to the land now known as Canada, each of these groups have unique histories, cultures, and spiritual beliefs (9, 10). The term “Indigenous peoples” has prevailed over “Aboriginal” in recent years as it more aptly acknowledges that there are many unique groups of Indigenous individuals (9–11). The population of Indigenous peoples represents about 5% of Canada's population, though has grown at a much faster rate (1.77 times from 2016–2021) than that of non-Indigenous peoples (10, 12).
As an effect of colonial and discriminatory policies, Indigenous populations face numerous health inequities in Canada including higher rates of suicide (13), chronic disease (14), and mortality (15, 16). Compared to non-indigenous peoples, Indigenous communities face consistently higher suicide rates, with Inuit communities suffering 9 times greater rates of suicide than non-Indigenous peoples (13). Indigenous peoples also experience poorer overall health (17) and reduced life-expectancy. Indigenous men and women living off-reserve in Canada have a shorter life expectancy (72.1 years and 77.7 years, respectively) compared to non-Indigenous men (76 years) and women (81.5 years) (16). Indigenous peoples living off-reserve also face higher risks of obesity (18), cardiovascular diseases, respiratory diseases, cancers (15), heavy alcohol consumption (18–20), and twice the prevalence of diabetes (16).
In pre-contact times, that is, pre-European settlement, oral history suggests that Indigenous peoples enjoyed good holistic health due to active lifestyles and healthy traditional diets (2). There is extensive evidence of positive associations between health and time spent outdoors while, for example, hunting, gathering wild plants, or participating in programs designed to encourage on-the-land activity (21–23). Traditional activities of making clothes and artmaking have also been associated with positive mental and physical effects and are frequently used as therapeutic tools (24, 25). A 2021 study in Iiyiyiu Aschii found that though worries about pollution lead to Cree adults drinking tap water less, time spent outdoors and practicing traditional activities was unaffected (26). This further substantiates the importance of traditional activities within Indigenous communities.
Traditional Indigenous perceptions of health are often supported by teachings from the Medicine Wheel methodology of traditional healing that all things are related to and interact with everything else (27). Thus, health includes balance of self with external components like food, water, and land (28) as well as connections to heritage and cultural identity (28, 29). Traditional healing practices were repressed by colonial authorities, with attempts to eradication traditional healing practices explicitly described in some missionary writings (2). Colonization has impaired use of Indigenous languages and participation in traditional activities (30). These losses inhibit self-determination in Indigenous populations which is essential in building the traditional sense of balanced wellbeing (28).
This article presents a first step to addressing questions stemming from consultations with community members from Fort Albany First Nation who were interested in health impacts of traditional activities. The objective of our study was to assess associations between participation in specific traditional activities and self-perceived general and mental health in Indigenous adults living off-reserve using the 2012 and 2017 Aboriginal Peoples Surveys (APS), the two most recent APS.
2 Methods
2.1 Data source
Statistics Canada conducts APS in 5-year intervals with the specific aim to improve the wellbeing of Aboriginal Peoples in Canada (31, 32). Using a cross-sectional design, we analyzed the datasets of the 2012 and 2017 APS, the two most recent available datasets. The APS surveyed persons aged 6 years and older in the 2012 APS, and 15 years and older in the 2017 APS. Participants were individuals who identified as First Nations living off-reserve, Métis, or Inuit; “Status Indian” (Registered or Treaty Indian as defined by the Indian Act of Canada); and/or “member of a First Nation or Indian Band” (31, 33). A total of 38,150 individuals of more than 50,000 persons were eligible to participate in the 2012 APS resulting in a response rate of 76.3%; 32,330 individuals of more than 43,000 persons were eligible to participate in the 2017 APS resulting similarly in a response rate of 75.2% (31, 33). Survey questions asked participants about their traditional activity participation, education, geography, self-perceived health status, self-perceived mental health status, support access, housing, income, employment, language, mobility, identity, food security, education, alcohol and drug use, and healthcare utilization (34, 35). Reponses are linked with Canada's census and National Household Survey for additional variables. Survey questions were administered by telephone or in-person interviews in the language of the participants' choice, with proxy reporting used in rare cases requiring translation, or the participant was unable to answer directly (31).
This 2012 and 2017 APS Public Use Microdata File (PUMF) were produced by Statistics Canada and released to Canadian academic institutions in 2015 and 2020, respectively (33, 36). In the 2012 APS, proxy reporting was used for most children aged 6 to 14 years, and for nearly half of those ages 15 to 17 years. The 2017 APS included participants 15 and older and accepted proxy reporting by parents and guardians for participants ages 15 to 17. Both APS only accepted non-proxy responses for mental health status, so youth below the age of 18 were systematically excluded from reporting their mental health status. Indeed, approximately 36% of 2012 respondents ages 15 to 18 were not asked to report their mental health status. Further, the age categories of both APS included a category for between ages 15–18. Resultingly, the responses of mental health status in those 18 and younger are not representative. Thus, inclusion in this study was limited to respondents 19 and older with valid responses for included variables. This study was deemed not to require ethics approval as the data is publicly available and anonymized.
2.2 Primary outcomes
Health status was assessed by responses to “In general, would you say your health is...” for general health status and “In general, would you say your mental health is…[,]” for mental health; possible responses were “Excellent,” “Very Good,” “Good,” “Fair,” and “Poor.” These responses were dichotomized following a previously used and validated method (37–40). Responses were collapsed to Good (which included “Excellent,” “Very Good” and “Good”), and Poor (which included “Fair” and “Poor”) for comparison with common groupings in other APS studies (40–45). Self-perceived health status accounts for individually held values and relevant influences including age, sex, and socio-demographic characteristics (46). Self-perception also accounts for factors that are difficult to quantify, including disease severity and psychosocial effects, and is known to be an accurate and reliable tool in measuring health (46, 47).
2.3 Primary exposures
Four independent variables were used in analyzing individuals' participation (yes/no) in traditional activities: hunting, gathering wild plants, making arts and crafts, and making clothes and footwear. These categories were selected to align with the APS's description of traditional activities, described within the survey question asking participants whether or not they had done any traditional activities in the past year (31).
2.4 Covariates
2.4.1 Sociodemographic and health indicators
Based on a priori findings demonstrating associations to self-perceived general and mental health, covariates included age, sex, education, income, identity, residential school attendance, language spoken, smoking, and alcohol use (42, 44, 48). Sex was reported dichotomously (male and female) in the 2012 APS and was reported as “Male,” “Female,” “Valid Skip,” “Don't Know,” “Refusal,” and “Not Stated” in the 2017 APS. However, all 2017 responses were either “Male” or “Female” thus only responses of “Male” or “Female” were included in analyses. Education was trichotomized as “less than high school,” “high school or equivalent,” and “more than high school” to correspond with similar studies (42, 44, 49). The seven APS levels of income were collapsed to four: “ < $10,000,” “between $10,000–$30,000,” “between $30,000–$50,000,” and “$50,000 and more” in the previous year to align with Statistics Canada's 2011 Low-Income Cut-Offs (50).
Participants were asked if they smoked cigarettes “daily,” “occasionally,” or “not at all.” We dichotomized smoking to current and non-smokers, in accordance with Ryan et al. (44). In the 2012 APS, alcohol consumption was defined through query of: “How often in the past 12 months have you had five or more drinks on one occasion.” In the 2017 APS, the corresponding question asked: “How often in the past 12 months have you had [five/four] or more drinks on one occasion.” We combined responses with a previous query on any alcohol consumption to create a variable indicating frequency of drinking 5 or more drinks in a single occasion in past year: “no alcohol use,” “never 5 or more drinks,” “5 or more drinks less than once a month,” “5 or more drinks once or more times per month.”
2.4.2 Identity and culture
Participants identified as: First Nations (North American Indian), Inuk (Inuit) and/or Métis. Given the pervasive impacts of Canada's residential school system on health and culture of Aboriginal peoples (51), we included as a covariate respondents' experience with residential school, including federal industrial schools. Response options were: “Respondent attended,” “Only parents/grandparents attended,” “Only other family members attended,” “Only parents/grandparents/other family members attended,” “Neither respondent nor family attended.” As done previously (27), responses 2–4 were combined into “Only family members attended.” In the 2012 APS, Indigenous language denotes respondents' ability to speak a few words in an Indigenous language, and ability to speak or understand an indigenous language for the 2017 APS.
2.5 Statistical analyses
Descriptive statistics were presented as percentages for categorical variables. To account for the complexity of the sampling design, weights from the PUMF (33, 36) were used. Categorical bivariate associations with mental and general self-perception were examined within survey questions using p-values ascertained from chi square tests.
Associations were examined by modeling odds ratios (OR) using survey-weighted generalized linear models (SWGLM) with a logit link (logistic regression). A total of 95% confidence intervals (CI) were generated to assess error on point estimates. CIs not including 1 were considered “statistically significant” at alpha = 0.05. We constructed single, fully adjusted models for mental and general health, with participation in traditional activities as primary outcome variables, adjusted for age, sex, education, household income, alcohol use, smoking, residential school association, Indigenous language, and Indigenous identity for the 2012 and 2017 datasets separately. All analyses were conducted using R (v3.6.1) (52) and RStudio (v1.2.1335) (53). Where appropriate, p-values < 0.05 were regarded as statistically significant after Holms-Bonferroni adjustment.
2.6 Exclusions
Responses of “don't know,” “refusal,” “not stated,” or “valid skip” were excluded since these would prevent assessment of the factor. However, “valid skip” responses for level of alcohol consumption were included to ensure inclusion of respondents previously reporting not having had alcohol in the past year. Additionally, the APS only allowed non-proxy responses for mental health, therefore proxy responses were excluded.
3 Results
3.1 Descriptive results
The 2012 APS PUMF included 24,803 respondents, of whom 15,079 were 19 and older. Approximately 3% of participants refused queries on general health and 3.5% refused queries on mental health. In total, approximately 37.5% of adult respondents were excluded from the sample due to incomplete data, most (3,266) due to incomplete responses regarding residential school attendance. As demonstrated in Figure 1, the analytic subsample included 9,430 respondents.
Figure 1. Flow diagram of participants excluded due to non-response in the 2012 APS sub-sample, created using sankeymatic.com.
The 2017 APS PUMF contained data from 20,849 respondents, of whom 19,072 were 19 and older. Less than 0.2% of participants refused queries on general health and roughly 5% refused queries on mental health. Approximately 31.7% of respondents ages 19 and older were ineligible for selection in the sample due to incomplete data, again, most drastically due to residential school attendance responses (4,374). This analytic subsample included 12,598 respondents, demonstrated in Figure 2.
Figure 2. Flow diagram of participants excluded due to non-response in the 2017 APS sub-sample, created using sankeymatic.com.
Tables 1, 2 present demographics distributions and bivariate associations. Good general health was reported by 81.9% and 80.6% of 2012 and 2017 APS respondents, respectively, and 89.9% and 85.5% reported good mental health, respectively. Bivariate analyses of both 2012 and 2017 APS data indicated associations between clothes-making and poor general and mental health, and between artmaking and poor mental health. Protective associations were found between hunting and good general and mental health, in both surveys. Incongruently, gathering plants was associated with poor general health in only the 2012 APS; and artmaking was associated with poor general health in only the 2017 APS.
Table 1. Descriptive statistics and bivariate associations with general and mental health in 9,430 participants in the 2012 APS.
Table 2. Descriptive statistics and bivariate associations with general and mental health in 12,598 participants in the 2017 APS.
The characteristics of participants who participated in each traditional activity are presented in Tables 3, 4. In both surveys, participants who reported gathering wild plants or making clothes were older than those who participated in making art or hunting. Participants of any traditional activity were mostly female, except those of hunting for which 59% of participants were male. Similarly, though similar distributions of income were observed for participants in all other traditional activities, those who participated in hunting had higher average incomes. Additionally, 86.9% and 88.9% of respondents who participated in making clothes were female in the 2012 and 2017 APS, respectively. In the 2012 APS, 50% or more of those who participated in making art, gathering plants, or making clothes reported never having consumed alcohol in the past year or never having consumed 5 or more drinks in past year; in the 2017 APS this was only observed for participants who reported making clothes.
Table 3. Descriptive statistics and bivariate associations with participation in traditional activities in 9,430 participants in the 2012 APS.
Table 4. Descriptive statistics and bivariate associations with participation in traditional activities in 12,598 participants in the 2017 APS.
3.2 Analytic results
In both surveys, most demographic, health and Indigenous cultural factors were associated with general and mental health in bivariate analyses (Tables 1, 2). Poor general health was associated with older age, female sex, less education, lower income, less alcohol consumption, smoking, and experience with residential school. Poor mental health showed similar associations as general health with the exception of a null association with education and alcohol consumption in the 2012 APS, and age in the 2017 APS. Relationships with Indigenous language and identity were also observed but are complex to interpret given potential relationships to sociodemographic factors. Bivariate results must be interpreted with caution due to possible confounding.
In fully adjusted models, participating in traditional activities within the past year showed relationships with both mental and general health (Table 5). In both surveys, making clothes was associated with poor general health, and hunting was associated with good mental health. Making clothes was also associated with poor mental health in the 2012 APS. In the 2017 APS, artmaking was associated with poor general and poor mental health, and hunting was associated with good general health. Slight increases in odds of good general and mental health were found in the 2017 APS compared to the 2012 APS for participation in making clothes, gathering plants, and hunting. The association between making clothes and mental health was attenuated in the 2017 survey compared to the 2012 survey. The associations between making arts and crafts was strengthened in the 2017 compared to the 2012 survey.
Table 5. Results of multivariable logistic regression models of poor general health and poor mental health and associations with participation in traditional activities.
Sensitivity analyses with and without self-perceived mental health in modeled poor general health (and vice-versa) did not significantly alter the observed relationships with traditional activities. Since 13% and 21% of excluded adult responses in the 2012 and 2017 APS, respectively, were due to residential school responses, sensitivity analyses were conducted to assess the effect of this restriction. Unrestricted responses did not alter direction or significance of most results; however, inclusion of non-responses resulted in loss of significance of associations between making clothes with mental health [1.3 (0.97, 1.74)] in the 2012 APS and with general health [1.2 (0.96, 1.40)] in the 2017 APS. Further, in comparing the age, sex and income distributions between the non-response participants to those who responded, no significant differences were observed.
4 Discussion
4.1 Interpretation
Our findings require careful interpretation in the context of these cross-sectional analyses. Several of the covariate factors showed relationships to health in bivariate analyses. As in previous analyses of the APS (51), experiences with residential schools were associated with poorer general and mental health. Kaspar also reported the observation shown in our bivariate analyses of the inverse association between Inuit identity and poor health (51). These findings must not be misinterpreted as a comparison to the general Canadian population. Inuit populations in Canada face significant food insecurity (54), poor water quality (55, 56), and other health challenges (57).
Hunting is an important aspect of Indigenous culture with positive impacts on mental health (58). Though there lacks recent studies of hunting and health in Indigenous populations in Canada, hunting shows complex relationships to health in Indigenous peoples globally (28, 55). In Indigenous communities, consumption of “country food” has been linked with physical and psychological benefits (59), and increased physical activity from hunting-and-gathering lifestyles has been linked to cardiovascular health benefits (60). Interpretation of the benefits of hunting is complicated by the physical demands of hunting, which may bar those experiencing impaired general or mental health; this is analogous to the healthy worker effect. Although, anecdotally, many Indigenous persons perform on-the-land activities such as hunting and trapping to improve wellbeing (21). In fact, we have recently shown that on-reserve Indigenous activities are associated with improved biophysical responses such as increased omega-3 polyunsaturated fats (21).
A related phenomenon could explain associations of making clothes and artmaking with poor general and mental health. We expected these activities to offer health protection, as in prior assessments in other cultures. One study found associations between knitting and reduced mild cognitive impairment in the United States (61), and a Norwegian study found artistic cultural activities was associated with improved health and lower levels of depression and anxiety (62). A 2021 South African study found fashion could help women with disabilities manage low-self-esteem (63). Conversely, a similar study using the 2012 APS found traditional activity participation increased odds of anxiety by 46%, though researchers noted this may be due to some participation being a form of therapy (48). We, too, note potential reverse causation or confounding by indication (64): making clothes and artmaking are often used as therapy, thus participants of poor health may be more likely to participate. Further, the low demands of these activities may be favored by those unable to engage in physically demanding activities such as hunting. Anecdotally, our team member, Ruby Edwards-Wheesk, observed this within her own First Nations reserve community, especially among ages who find it difficult to hunt (2021, personal conversation). Residual confounding by age and income could also affect these unexpected relationships since the APS groupings are coarse and within-group variability cannot be measured; this is relevant if older adults or those of low-income are systematically more likely to make clothes and make art. It is complex to interpret differences in strengths of these associations between the 2012 and 2017 surveys; one possibility is underlying periodic trends in these cultural practices and which specific activities fall under these categorizations. We did note that self-reported overall participation in making clothes decreased between the 2012 and 2017 cycles, and participation in making arts and crafts increased. Additional community-based research to explore specific traditional activities, the populations engaged by these activities, and their relative impacts before and after participation, is needed.
4.2 Limitations
The key limitation of using the APS is its cross-sectional design which prevents causal determination. Also, since APS results are only made available 3 years after data collection, the results of analyses using the APS may not accurately represent current relationships. That being said, the data from the 2017 APS used herein is the most up-to-date data available. Additionally, since no universal scale of self-perceived health exists it is difficult to make accurate cross-cultural comparisons (46). Since the APS includes only those living off-reserve these results are not generalizable to those living on-reserve. The APS did not distinguish between social and non-social participation which could affect health outcomes, especially in older adults (65). In fact, loneliness has been shown to be associated with decreased cognitive function (65), vision loss (66), and heart disease and stroke (67).
One notable limitation of this study is the absence of data concerning the intensity of the primary exposure, i.e., engagement in traditional activities. While the APS provides an overview of whether respondents partake in traditional activities, it lacks granularity in terms of frequency, duration, and depth of engagement. This omission hampers our ability to draw nuanced conclusions about dose-response relationships between traditional activities and health outcomes.
The study also does not account for the possible variations in the understanding and interpretation of terms related to traditional activities across different Indigenous groups. Terms like “traditional activities,” “mental health,” or “wellbeing” may have culturally specific meanings that are not captured in a one-size-fits-all survey instrument like the APS. This limitation could affect the generalizability of our findings to all Indigenous communities.
Another significant limitation is the lack of geographic and specific Indigenous grouping data in the APS dataset, which restricts our ability to conduct subgroup analyses. This is a critical shortcoming as health outcomes and engagement in traditional activities may vary significantly across regions and among different Indigenous groups. Without this data, the study's findings may not be fully representative or generalizable.
5 Conclusion
Given the findings of this study, there are several recommendations for future programs, plans, and policies aimed at improving the general and mental health of adult Indigenous persons living off-reserve in Canada. Firstly, there is a need for culturally sensitive interventions that recognize the importance of traditional activities in the health and wellbeing of Indigenous communities. Policymakers should consult with Indigenous leaders and organizations to design and implement such interventions. Next, considering the changes in findings between the first and second survey waves, it would be prudent to investigate potential environmental, social, or policy changes that may have occurred during this period. These changes could contribute to the observed differences in health outcomes and engagement in traditional activities.
The APS serves as a valuable tool for understanding the lives of on-reserve Indigenous peoples in Canada, but it could benefit from several improvements. The inclusion of questions that capture the intensity of engagement in traditional activities, as well as geographic and Indigenous subgroup data, would enhance its utility for research and policy. Additionally, making the APS dataset more readily available to researchers and policymakers could facilitate more extensive and varied analyses, ultimately contributing to better-informed decisions for Indigenous communities.
An important step in reconciling health inequities facing Indigenous communities is determining associations between traditional activities and health. Our results provide evidence of complex associations between practicing traditional activities and self-perceived general and mental health. These findings have important implications for future research of traditional activities and for the development of programs, plans, and policies affecting Indigenous populations in Canada.
Data availability statement
The original contributions presented in the study are included in the article/supplementary material. The 2012 and 2017 APS data is accessible at Statistics Canada Research Data Centres (RDCs). The application to access the data is available at www.statcan.gc.ca/en/microdata/data-centres/access.
Ethics statement
The studies involving humans were approved by the Health Canada, Public Health Agency of Canada (PHAC), and Research Ethics Board (REB). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants' legal guardians/next of kin in accordance with the national legislation and institutional requirements.
Author contributions
HK: Conceptualization, Formal analysis, Investigation, Visualization, Writing—original draft, Writing—review & editing. MH: Methodology, Supervision, Writing—review & editing. RE-W: Conceptualization, Writing—review & editing. EL: Conceptualization, Resources, Supervision, Writing—review & editing.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. Funding was provided by a CIHR (FRN 181128) and Toronto Metropolitan University Faculty of Community Services publication grant.
Acknowledgments
We would like to thank the participants of the 2012 and 2017 Aboriginal Peoples Survey (APS), as well as the Statistics Canada staff who contributed to the development of the survey, data collection, and accessibility of the 2012 and 2017 APS.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Author disclaimer
The results and views expressed herein are those of the authors and are not those of Statistics Canada.
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Keywords: Indigenous health, mental health, public health, epidemiology, traditional Indigenous activities
Citation: Kassem H, Harris MA, Edwards-Wheesk R and Liberda EN (2024) Traditional activities and general and mental health of adult Indigenous peoples living off-reserve in Canada. Front. Public Health 11:1273955. doi: 10.3389/fpubh.2023.1273955
Received: 07 August 2023; Accepted: 18 December 2023;
Published: 24 January 2024.
Edited by:
Tamra Burns Loeb, University of California, Los Angeles, United StatesReviewed by:
Vanessa Hiratsuka, University of Alaska Anchorage, United StatesSandawana William Majoni, Royal Darwin Hospital, Australia
Copyright © 2024 Kassem, Harris, Edwards-Wheesk and Liberda. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Eric N. Liberda, eric.liberda@torontomu.ca