Skip to main content
SSM - Population Health logoLink to SSM - Population Health
. 2018 May 24;5:55–63. doi: 10.1016/j.ssmph.2018.05.003

The social complexities of disability: Discrimination, belonging and life satisfaction among Canadian youth

Angela Daley a,, Shelley Phipps b, Nyla R Branscombe c
PMCID: PMC5993176  PMID: 29892696

Abstract

Although disability has been on the psychological agenda for some time, there is limited empirical evidence on the life satisfaction of youth with a disability, especially the effect of discrimination and factors that might mitigate it. We address this critical gap by examining the complex social experiences of youth with a disability and the culminating effect on life satisfaction. We ask three questions: (1) Is having a disability associated with lower life satisfaction? (2) Do youth with a disability experience discrimination and, if so, how does this affect life satisfaction? (3) Can a sense of belonging mitigate the negative effect of discrimination? We address these questions using microdata from the Canadian Community Health Survey, which is nationally representative. Our sample consists of 11,997 adolescents, of whom 2193 have a disability. We find that life satisfaction is lower among youth with a disability. Moreover, many experience disability-related discrimination, which has a negative effect on life satisfaction. However, this is mitigated by a sense of belonging to the community. Specifically, youth with a disability do not report lower life satisfaction when high belonging is present, even if they experience discrimination. This is true for boys and girls. We conclude that belonging, even if it is not disability-related, is protective of well-being. This has important implications for policy whereby organizations that cultivate a sense of belonging may alleviate the harm sustained by youth who experience discrimination as a result of their disability.

Keywords: Disability, Life Satisfaction, Well-Being, Discrimination, Belonging, Youth

1. Introduction

The United Nations Convention on the Rights of the Child (1989) states that “a mentally or physically disabled child should enjoy a full and decent life, in conditions which ensure dignity, promote self-reliance and facilitate the child’s active participation in the community” (p. 7). Such international laws affirm the rights of people with a disability to full community participation.1 Yet, people with a disability are often objectified and excluded from many aspects of life, as well as stereotyped as dependent and incompetent (Dunn, 2015, Nario-Redmond, 2010). Social exclusion and other forms of negative treatment directed toward people with a disability have been documented even among young children (Huckstadt & Shutts, 2014). A meta-analysis of children’s attitudes toward their disabled peers indicates that such negative biases are widespread (Nowicki & Sandieson, 2002). Such exclusion is often perceived to be inevitable based on a person’s medical condition or physical limitations (Dunn and Brody, 2008, Yuker, 1994). Consequently, discrimination and ostracism toward people with a disability are frequently perceived as normal and justified, rather than intentional and harmful (Dovidio et al., 2011, Watermeyer and Gorgens, 2014).

Many studies have shown that discrimination negatively affects well-being among Blacks (Branscombe et al., 1999, Siddiqi et al., 2017), Indigenous peoples (Siddiqi et al., 2017), women (Schmitt, Branscombe, Kobrynowicz, & Owen, 2002), international students (Schmitt, Spears, & Branscombe, 2003) and the elderly (Garstka, Schmitt, Branscombe, & Hummert, 2004). For example, Siddiqi et al. (2017) find that discrimination is a predictor of chronic conditions and their risk factors among Blacks and Indigenous peoples in Canada. In this paper, we focus on discrimination experienced by Canadian youth with a disability. Like other forms of discrimination based on group membership, we anticipate negative consequences for well-being.

In conceptualizing disability, it is possible to focus on diagnosis and treatment of different medical conditions. This approach defines people based on their prognosis and does not allow for inclusive group membership across disability types (Smart, 2009). “Considering disability as a medical pathology creates the foundation for prejudice and discrimination … because disability is then difficult to disentangle from the individuals who live with them” (Dirth & Branscombe, 2017, p. 415). An alternative approach is to consider people with a disability as a vulnerable group with shared challenges that could be addressed by policy (Dirth & Branscombe, 2017; Scotch, 1988). For example, Foley et al. (2012) use focus groups to examine narratives about obstacles and coping among children with a disability. One of the most important themes to emerge is that they want to feel belonged. Indeed, many children reported that social exclusion is more troublesome than the physical restrictions associated with their disability. Perhaps this is not surprising given that psychologists have long postulated the need to belong as a fundamental social motive with negative consequences when it is threatened (Baumeister & Leary, 1995).

There is a large literature on the importance of social relationships to well-being among adults, although it is not specific to those with a disability (Helliwell et al., 2010, Jetten et al., 2009). The literature on child well-being is smaller (Casas et al., 2007, Huebner, 2004), but again suggests that social relationships, especially within families, are important for well-being (Burton and Phipps, 2008, Holder and Coleman, 2009, Nickerson and Nagle, 2004, Nickerson and Nagle, 2005). Little is known about the life satisfaction of youth with a disability, but some studies have found lower levels of well-being as measured by emotional health and quality of life (Boyce et al., 2009, Edwards et al., 2003, Snowdon, 2012). There is also evidence that children with a disability face stigma (Cooney, Jahoda, Gumley, & Knott, 2006), social exclusion (Lindsay & McPherson, 2012) and are more likely to be the target of bullying (Zhang, Osberg, & Phipps, 2014).

In this paper, we focus on the social complexities of disability. Specifically, we examine the importance of belonging for life satisfaction among Canadian youth with a disability, many of whom face discrimination. In doing so, we address three questions:

  • (1)

    Is having a disability associated with lower life satisfaction?

  • (2)

    Do youth with a disability experience discrimination? How does this affect life satisfaction?

  • (3)

    Can a sense of belonging mitigate the negative effect of discrimination on life satisfaction? That is, are the consequences of discrimination smaller if youth with a disability feel as if they belong to their community?

We expect that youth with a disability will have lower life satisfaction. And, to the extent they experience discrimination, the negative effect on life satisfaction may exceed that related to the disability itself. Moreover, we expect that a sense of belonging will help alleviate the negative effect of discrimination on life satisfaction for this vulnerable group.

2. Data

We address the above-questions using cross-sectional microdata from the Canadian Community Health Survey (CCHS), which is administered by Statistics Canada. We use Cycles 2.1 (2003) and 3.1 (2005).2 Both are representative of the population aged 12 and older. The CCHS excludes those in the military, institutions and very remote areas, as well as First Nations peoples living on reserve. However, these exclusions represent less than three percent of the Canadian population.

In each cycle, a sample of Canadian households was selected from an area frame (49 percent), list frame (50 percent) and random digit dialing (one percent). Almost three-quarters of those selected from the area frame were interviewed in person. All others were interviewed via telephone. First, a household representative provided basic demographic and socio-economic information. Then, one household member was chosen for a more in-depth interview wherein adolescents were oversampled (i.e. they had a larger selection probability). For those aged 12 to 15, parental consent was obtained prior to the interview. However, the interview was not carried out if privacy could not be guaranteed. For example, if a parent wanted to be present, the interviewer would read the question and the youth would respond directly on a computer.

Proxy interviews were used when respondents were unable to participate due to poor physical or mental health, however personal questions were not asked. We dropped 452 observations for this reason. This is relevant insofar that youth with the most severe disabilities were excluded from the sample. Nevertheless, our sample consists of 11,997 adolescents aged 12 to 17, of whom 2193 have a disability.

3. Key variables

3.1. Life satisfaction

In the CCHS, life satisfaction is based on the question: “How satisfied are you with your life in general: very satisfied; satisfied; neither satisfied nor dissatisfied; dissatisfied; or very dissatisfied?” The scale, which ranges from one (very dissatisfied) to five (very satisfied), is the dependent variable in our regression analysis. This question is asked early in the survey and not in the section on disability.

3.2. Belonging

Belonging is based on the question: “How would you describe your sense of belonging to your local community? Is it: very strong; somewhat strong; somewhat weak; or very weak?” This question is also asked early in the survey, just after the one about life satisfaction. It is not in the section on disability, and so does not necessarily relate to the community of others with the same disability (e.g. the Deaf community). It is left to the adolescent to define his/her community.

3.3. Disability

In the CCHS, we use questions about activity limitations to infer whether an individual has a disability.3 Specifically, respondents are asked whether they have: “difficulty hearing, seeing, communicating, walking, using stairs, bending or learning due to a long-term physical or mental health condition” where long-term is defined as six months or more. Individuals are first asked if they have difficulty with activities, and then whether they experience a reduction in the kind or amount of activities they can do: at home; at school; or elsewhere. They may answer often, sometimes or never to each of the four questions. We categorize an individual as often limited if he/she answers often to any of the questions and sometimes limited if he/she answers sometimes (but not often) to any of the questions. These two groups represent youth with a disability, while those who recurrently answer never are categorized as non-disabled youth. It is important to note that disability is self-reported and is not contingent on contact with the health care system.

Although we focus on disability as defined by activity limitations, we also consider participation restrictions. Specifically, respondents are asked: “Because of any physical condition, mental condition or health problem, do you have difficulty: dealing with strangers; making new friends or maintaining friendships; with personal care; or moving around the house?” We create dummy variables for each. This allows us to assess the relative importance of social (strangers, friends) versus physical (personal care, moving around) aspects of disability for life satisfaction.

3.4. Discrimination

In the CCHS, youth with a disability are asked: “Because of your condition or health problem, have you ever experienced discrimination or unfair treatment?” If so, they are asked: “In the past 12 months, how much discrimination did you experience: a lot; some; a little; or none at all?” We examine discrimination using dummy variables for never, none at all in the past 12 months, a little in the past 12 months, some or a lot in the past 12 months.

3.5. Discrimination/belonging categories

Since we are interested in whether a sense of belonging mitigates the negative effect of discrimination on life satisfaction, we create the following categories: (1) low discrimination and high belonging; (2) low discrimination and low belonging; (3) high discrimination and high belonging; (4) high discrimination and low belonging. The low discrimination category includes non-disabled youth, as well as those with a disability who said they: never experienced discrimination; experienced it previously but none at all in the past 12 months; or experienced only a little in the past 12 months. The high discrimination category includes youth with a disability who report some or a lot of discrimination. The high belonging category indicates a very strong or somewhat strong sense of belonging to the community. The low belonging category includes youth who report a somewhat weak or very weak sense of belonging.

4. Methods

Using Ordinary Least Squares, we estimate models of life satisfaction for all youth and just those with a disability.4 We use a pooled sample of boys and girls, as well as separate samples to examine gender differences. We use sampling weights in all regressions, normalized in each cycle assuming they are random draws on the same population.

4.1. All youth

In Model 1, we determine whether youth with a disability have lower life satisfaction than their non-disabled peers. Thus, we focus on dummy variables related to disability status (Disability) whereby we compare youth who are sometimes and often limited, respectively, to those who are never limited.

Life=αDisability+ηX+ε (1)

Life denotes life satisfaction. X contains a constant and predictors of life satisfaction as suggested by the literature. These include: gender (in the pooled sample of boys and girls) and age (Proctor, Linley, & Maltby, 2009); ethnicity (Huebner, Suldo, Valois, Drane, & Zullig, 2004); family structure (Zullig, Valois, Huebner, & Drane, 2005); socio-economic status as proxied by household income and parental education (Ash and Huebner, 2001, Burton and Phipps, 2008); presence of a chronic condition (Langeveld, Koot, & Passchier, 1999); and survey cycle. The latter controls for changes in life satisfaction across time (i.e. 2003 versus 2005). Income is adjusted for inflation and differences in need by household size.5 Throughout the paper, we use the log of real equivalent income to address skewness of the linear measure, and to reflect that well-being is more sensitive to differences at the bottom of the income distribution. α and η are parameters to be estimated. ε is the error term.

In Model 2, we add Discrimination via dummy variables for a little in the past 12 months, some or a lot in the past 12 months. The base is: never; none at all in the past 12 months; and non-disabled youth.6 β consists of parameters to be estimated.

Life=αDisability+βDiscrimination+ηX+ε (2)

In Model 3, we add Belonging with a dummy variable for very strong or somewhat strong, compared to somewhat weak or very weak. δ is a parameter to be estimated.

Life=αDisability+βDiscrimination+δBelonging+ηX+ε (3)

Model 3 includes disability status, discrimination and belonging as separate predictors of life satisfaction.7 For example, some or a lot of discrimination is assumed to have the same effect on all adolescents with a disability. However, we predict that the consequences of discrimination are smaller for those who have a stronger sense of belonging to their community. Thus, in Model 4, we assign adolescents to one of four categories: (1) low discrimination and high belonging; (2) low discrimination and low belonging (LowDLowB); (3) high discrimination and high belonging (HighDHighB); (4) high discrimination and low belonging (HighDLowB). The first category is our base and includes non-disabled youth.8 ρi for i = [1,3] are parameters to be estimated.

Life=αDisability+ρ1LowDLowB+ρ2HighDHighB+ρ3HighDLowB+ηX+ε (4)

4.2. Youth with a disability

We re-estimate Models 1 to 4 for youth with a disability to examine: how being often limited compares to being sometimes limited; how experiencing more discrimination compares to experiencing less; and how the effects of discrimination differ for those with a stronger sense of belonging to their community.

Moreover, to assess the relative importance of social versus physical aspects of disability for life satisfaction, we estimate a model in which disability status, discrimination and belonging are replaced with participation restrictions. Specifically, we include dummy variables to indicate whether the individual has difficulty with strangers (Strangers), making or maintaining friends (Friends). These variables reflect social restrictions, while difficulty with personal care (PersonalCare) and moving around the house (Moving) are more physical. γj for j = [1,4] are parameters to be estimated.

Life=γ1Strangers+γ2Friends+γ3PersonalCare+γ4Moving+ηX+ε (5)

5. Results

5.1. Descriptive statistics

Table 1 indicates that 12.4 percent of Canadian youth sometimes experience activity limitations, and another 5.3 percent are often limited. The difference in disability status between boys and girls is not statistically significant.

Table 1.

Disability status by gender.

Boys and Girls Boys Girls
Percent (Standard Error) Percent (Standard Error) Percent (Standard Error)
Never Limited 82.3 (0.5) 82.6 (0.7) 81.8 (0.7)
Sometimes Limited 12.4 (0.4) 12.0 (0.6) 13.0 (0.6)
Often Limited 5.3 (0.3) 5.4 (0.4) 5.2 (0.4)
Number of Observations 11997 6292 5705

In Table 2, we compare life satisfaction and belonging for adolescents with and without a disability. Youth with a disability have lower life satisfaction; only 35.1 percent are very satisfied with life, compared to 46.6 percent of non-disabled youth. Moreover, almost three times as many youth with a disability are dissatisfied or very dissatisfied with life (i.e. 1.9 percent compared to 0.7 percent of their non-disabled peers). In terms of gender differences, girls are less satisfied with life than boys, and this is particularly true among those with a disability. For example, non-disabled boys are 2.4 percentage points more likely to be very satisfied with life compared to girls. The difference is 5.4 percentage points between boys and girls with a disability.

Table 2.

Life satisfaction and sense of belonging by disability status and gender.

Never Limited Percent (Standard Error)
Sometimes or Often Limited Percent (Standard Error)
Boys and Girls Boys Girls Boys and Girls Boys Girls
Life Satisfaction
Very Satisfied 46.63 47.72 45.37 35.07 37.65 32.26
(0.70) (0.99) (1.04) (1.47) (2.12) (2.01)
Satisfied 49.37 48.49 50.38 56.01 55.84 56.20
(0.70) (1.00) (1.05) (1.52) (2.15) (2.13)
Neither Satisfied nor Dissatisfied 3.33 3.09 3.61 7.01 5.45 8.72
(0.30) (0.35) (0.39) (0.68) (0.78) (1.12)
Dissatisfied or Very Dissatisfied 0.70 0.70 0.64 1.90 1.06 2.82
(0.20) (0.20) (0.14) (0.41) (0.44) (0.70)
Sense of Belonging
Very Strong or Somewhat Strong 78.67 76.99 80.58 72.24 72.35 72.10
(0.86) (0.86) (0.86) (2.00) (2.00) (1.97)
Number of Observations 9804 5178 4626 2193 1114 1079

Table 2 also indicates that youth with a disability have a lower sense of belonging to their community; 72.2 percent have a very strong or somewhat strong sense of belonging compared to 78.7 percent of non-disabled youth. Moreover, we find that non-disabled girls are more likely to feel a strong sense of belonging compared to boys, while there is no gender difference among those with a disability.

Table 3 provides more information about youth with a disability. We find that 70.1 percent are sometimes limited, while 29.9 percent are often limited. Moreover, 12.1 percent have experienced discrimination related to their disability (5.1 percent experienced some or a lot in the past 12 months, 4.7 percent experienced a little in the past 12 months and 2.3 percent experienced none at all in the past 12 months but have previously).

Table 3.

Characteristics of youth with a disability.

Boys and Girls Boys Girls
Percent (Std. Error) Percent (Std. Error) Percent (Std. Error)
Disability Status
Sometimes Limited 70.1 (1.4) 68.8 (2.1) 71.6 (1.9)
Often Limited 29.9 (1.4) 31.2 (2.1) 28.4 (1.9)
Disability-Related Discrimination
None at All in the Past 12 Months 2.3 (0.4) 2.9 (0.7) 1.6 (0.5)
A Little in the Past 12 Months 4.7 (0.6) 4.4 (0.8) 5.0 (0.9)
Some or A Lot in the Past 12 Months 5.1 (0.6) 5.9 (0.9) 4.2 (0.7)
Discrimination/Belonging Categories
Low Discrimination and High Belonging 68.9 (1.4) 68.4 (2.0) 70.0 (2.0)
Low Discrimination and Low Belonging 26.0 (1.4) 25.7 (2.0) 26.2 (1.9)
High Discrimination and High Belonging 3.3 (0.1) 4.0 (0.7) 2.5 (0.6)
High Discrimination and Low Belonging 1.8 (0.3) 1.9 (0.5) 1.7 (0.5)
Participation Restrictions
Dealing with Strangers 6.7 (0.7) 6.0 (0.9) 7.6 (1.1)
Making or Maintaining Friends 4.6 (0.6) 3.7 (0.6) 5.6 (0.9)
Personal Care 1.3 (0.3) 1.4 (0.4) 1.3 (0.4)
Moving around the House 0.6 (0.2) 0.5 (0.2) 0.6 (0.3)
Number of Observations 2193 1114 1079

In considering the discrimination/belonging categories, Table 3 indicates that: 68.9 percent of youth with a disability report low discrimination and high belonging; 26.0 percent report low discrimination and low belonging; 3.3 percent report high discrimination and high belonging; and 1.8 percent report high discrimination and low belonging.

At the bottom of Table 3, we emphasize participation restrictions rather than activity limitations.9 The most common difficulty is with strangers (6.0 percent of boys and 7.6 percent of girls), followed by making or maintaining friends (3.7 percent of boys and 5.6 percent of girls). Few adolescents have difficulty with personal care or moving around the house. This suggests that social aspects of disability are more prevalent than physical restrictions.

In Table 4, we examine the predictors of life satisfaction by disability status. It is interesting to note that youth with a disability are slightly older. Moreover, parental education and household income are lower for youth with a disability compared to those without. This may be attributable to the costs of having an adolescent with a disability (Burton and Phipps, 2009, Burton et al., 2017, Corman et al., 2005, Gould, 2004, Powers, 2003).

Table 4.

Predictors by disability status.

Never Limited Sometimes Limited Often Limited
Percent (Std. Error) Percent (Std. Error) Percent (Std. Error)
Girl 46.5 (0.7) 48.9 (1.8) 45.5 (2.8)
Age 12 to 13 36.3 (0.7) 32.4 (1.7) 29.7 (2.6)
Age 14 to 15 34.6 (0.7) 37.1 (1.7) 37.1 (2.8)
Age 16 to 17 29.1 (0.7) 30.5 (1.7) 33.2 (2.7)
Non-White 16.9 (0.6) 12.7 (1.3) 17.8 (2.5)
Lone Parent Family 17.1 (0.6) 23.3 (1.5) 19.9 (1.9)
Log of Real Equivalent Income – Mean 10.38 (0.01) 10.32 (0.03) 10.27 (0.06)
Parent with < High School 4.3 (0.3) 5.1 (0.8) 5.3 (1.2)
Parent with High School 18.2 (0.6) 19.5 (1.4) 21.8 (2.5)
Parent with Post-Secondary 77.5 (0.6) 75.5 (1.5) 72.9 (2.6)
Chronic Condition 45.3 (0.7) 74.6 (1.5) 77.4 (2.6)
Cycle 2.1 (2003) 46.6 (0.7) 49.3 (1.8) 45.9 (2.8)
Cycle 3.1 (2005) 53.4 (0.7) 50.7 (1.8) 54.1 (2.8)
Number of Observations 9804 1561 632

5.2. Regression analysis for all youth

Table 5 contains Ordinary Least Squares estimates of life satisfaction for the full sample of youth. Like the descriptive statistics, Model 1 indicates that life satisfaction is lower among those with a disability. For example, compared to non-disabled youth, life satisfaction is 0.19 points lower, or 31 percent of a standard deviation, among those who are often limited. This is large compared to the other statistically significant predictors of life satisfaction (e.g. it is three times as large as being non-white or in a lone parent family).

Table 5.

Ordinary least squares estimates of life satisfaction for all youth.

Coefficient (Robust Std. Error) Unless Otherwise Indicated Boys and Girls
Boys Girls
Model 1 Model 2 Model 3 Model 4 Model 4 Model 4
Mean (Standard Deviation) of Life Satisfaction from 1 to 5 4.39 (0.62) 4.39 (0.62) 4.39 (0.62) 4.39 (0.62) 4.41 (0.60) 4.36 (0.63)
Disability Status
Base = Never Limited
Sometimes Limited -0.139*** (0.025) -0.118*** (0.025) -0.108*** (0.025) -0.119*** (0.025) -0.099*** (0.033) -0.138*** (0.035)
Often Limited -0.190*** (0.039) -0.142*** (0.039) -0.133*** (0.039) -0.143*** (0.039) -0.072 (0.049) -0.231*** (0.062)
Disability-Related Discrimination
Base = Never or None at All in the Past 12 Months; Non-Disabled Youth
A Little in the Past 12 Months -0.235** (0.094) -0.211** (0.091)
Some or A Lot in the Past 12 Months -0.365*** (0.115) -0.346*** (0.109)
Sense of Belonging
Base = Somewhat Weak or Very Weak
Very Strong or Somewhat Strong 0.220*** (0.020)
Discrimination/Belonging Categories
Base = Low Discrimination and High Belonging
Low Discrimination and Low Belonging -0.213*** (0.020) -0.197*** (0.027) -0.231*** (0.031)
High Discrimination and High Belonging -0.101 (0.076) -0.127 (0.101) -0.098 (0.108)
High Discrimination and Low Belonging -0.977*** (0.238) -0.997*** (0.353) -0.944*** (0.285)
Girl -0.044*** -0.045*** -0.052*** -0.051***
Base = Boy (0.016) (0.016) (0.016) (0.016)
Age 12 to 13 0.063*** 0.064*** 0.043** 0.042** 0.028 0.055**
Base = Age 14 to 15 (0.018) (0.018) (0.018) (0.018) (0.024) (0.026)
Age 16 to 17 -0.048** -0.048** -0.028 -0.028 -0.042 -0.015
Base = Age 14 to 15 (0.021) (0.021) (0.020) (0.020) (0.028) (0.030)
Non-White -0.061** -0.063*** -0.056** -0.056** -0.022 -0.097***
Base = White (0.044) (0.024) (0.023) (0.018) (0.031) (0.036)
Lone Parent Family -0.064*** -0.066*** -0.055*** -0.055*** -0.009 -0.102***
Base = Two Parents (0.021) (0.011) (0.021) (0.020) (0.027) (0.030)
Log of Real Equivalent Income 0.028*** 0.027** 0.027*** 0.027** 0.037** 0.015
(0.011) (0.011) (0.010) (0.010) (0.027) (0.014)
Parent with < High School -0.058 -0.057 -0.051 -0.052 -0.012 -0.098
Base = Parent with High School (0.042) (0.042) (0.042) (0.042) (0.061) (0.055)
Parent with Post-Secondary 0.012 0.011 0.008 0.009 -0.008 0.029
Base = Parent with High School (0.019) (0.019) (0.019) (0.019) (0.026) (0.029)
Chronic Condition -0.055*** -0.051*** -0.049*** -0.050*** -0.043** -0.054**
Base = None (0.016) (0.016) (0.016) (0.016) (0.022) (0.0228)
Cycle 3.1 (2005) 0.038** 0.038*** 0.036*** 0.033** 0.056*** 0.005
Base = Cycle 2.1 (2003) (0.016) (0.016) (0.016) (0.015) (0.021) (0.023)
R-Squared 0.0288 0.0328 0.0541 0.0550 0.0452 0.0711
F 14.06*** 12.87*** 18.72*** 18.88*** 8.34*** 13.09***
Number of Observations 11997 11997 11997 1199 6292 5705

** p < 0.05; *** p < 0.01

Model 2 indicates that adolescents who experience discrimination have lower life satisfaction, controlling for the extent of their disability. For example, experiencing some or a lot of discrimination is associated with a reduction in life satisfaction by 0.37 points, or 59 percent of a standard deviation.

In Model 3, we find that adolescents who have a stronger sense of belonging to their community are more satisfied with life, controlling for the extent of their disability and discrimination. Specifically, having a very strong or somewhat strong sense of belonging is associated with an improvement in life satisfaction by 0.22 points, or 35 percent of a standard deviation (i.e. compared to somewhat weak or very weak).

In Model 4, we replace discrimination and belonging with the four categories: low discrimination and high belonging (base); low discrimination and low belonging; high discrimination and high belonging; high discrimination and low belonging. We do this to test whether adolescents with a stronger sense of belonging to their community are, at least partially, protected from the negative consequences of discrimination. Our results indicate that having high discrimination and low belonging is associated with a reduction in life satisfaction by almost one point, which is more than 1.5 times the standard deviation. On the other hand, having high discrimination and high belonging does not have a statistically significant effect on life satisfaction. This suggests that a sense of belonging mitigates the negative effect of discrimination.

We find comparable results for boys and girls, although the size and statistical significance of some predictors vary. For example, an increase in household income is associated with higher life satisfaction for boys but not girls. Moreover, being non-white or in a lone parent family is negatively associated with life satisfaction for girls but not boys. Finally, it is important to note that the R-squared increases as we add discrimination, belonging and combinations thereof (i.e. from Models 1 to 4), and the F values indicate that our predictors are jointly significant.

5.3. Regression analysis for youth with a disability

In Table 6, we restrict the sample to youth with a disability. It is interesting to note that life satisfaction is comparable among those who are sometimes and often limited. In Models 2 and 3, discrimination continues to have a negative effect on life satisfaction, while belonging has a positive effect. Moreover, when we replace discrimination and belonging with combinations thereof, we again see that having high discrimination and low belonging has a large, negative effect on life satisfaction, while having high discrimination and high belonging does not.

Table 6.

Ordinary least squares estimates of life satisfaction for youth with a disability.

Coefficient (Robust Std. Error) Unless Otherwise Indicated Boys and Girls
Boys Girls
Model 1 Model 2 Model 3 Model 4 Model 4 Model 4
Mean (Standard Deviation) of Life Satisfaction from 1 to 5 4.24 (0.68) 4.24 (0.68) 4.24 (0.68) 4.24 (0.68) 4.30 (0.64) 4.18 (0.71)
Disability Status
Base = Sometimes Limited
Often Limited -0.056 (0.044) -0.026 (0.044) -0.026 (0.043) -0.025 (0.043) 0.019 (0.056) -0.086 (0.068)
Disability-Related Discrimination
Base = Never or None at All in the Past 12 Months
A Little in the Past 12 Months -0.235*** -0.214***
(0.096) (0.093)
Some or A Lot in the Past -0.378*** -0.359***
12 Months (0.113) (0.107)
Sense of Belonging
Base = Somewhat Weak or Very Weak
Very Strong or Somewhat Strong 0.214***
(0.048)
Discrimination/Belonging Categories
Base = Low Discrimination and High Belonging
Low Discrimination and Low Belonging -0.180*** (0.048) -0.162*** (0.063) -0.199*** (0.073)
High Discrimination and High Belonging -0.112 (0.076) -0.116 (0.101) -0.129 (0.111)
High Discrimination and Low Belonging -0.966*** (0.234) -0.998*** (0.339) -0.942*** (0.290)
Girl -0.106*** -0.111*** -0.114*** -0.112***
Base = Boy (0.040) (0.039) (0.047) (0.039)
Age 12 to 13 0.090 0.097** 0.066 0.064 0.016 0.113
Base = Age 14 to 15 (0.046) (0.045) (0.048) (0.046) (0.061) (0.068)
Age 16 to 17 -0.070 -0.068 -0.051 -0.050 -0.089 -0.019
Base = Age 14 to 15 (0.050) (0.049) (0.049) (0.048) (0.064) (0.073)
Non-White -0.034 -0.050 -0.063 -0.046 0.105 -0.250
Base = White (0.063) (0.063) (0.061) (0.061) (0.077) (0.092)
Lone Parent Family -0.075 -0.079 -0.064 -0.051 0.017 -0.125
Base = Two Parents (0.050) (0.050) (0.050) (0.050) (0.067) (0.075)
Log of Real Equivalent Income 0.061*** 0.055*** 0.051*** 0.058*** 0.073*** 0.041
(0.019) (0.019) (0.020) (0.019) (0.025) (0.030)
Parent with < High School -0.010 -0.007 0.012 0.002 -0.022 -0.006
Base = Parent with High School (0.098 (0.099) (0.097) (0.096) (0.169) (0.106)
Parent with Post-Secondary 0.038 0.032 0.032 0.037 -0.002 0.081
Base = Parent with High School (0.050) (0.050) (0.051) (0.051) (0.054) (0.086)
Cycle 3.1 (2005) 0.076 0.079** 0.073 0.061 0.090 0.028
Base = Cycle 2.1 (2003) (0.040) (0.040) (0.040) (0.039) (0.052) (0.057)
R-Squared 0.0344 0.0534 0.0722 0.0785 0.0808 0.0880
F 4.86*** 5.07*** 5.87*** 5.79*** 2.45*** 4.70***
Number of Observations 2193 2193 2193 2193 1114 1079

** p < 0.05; *** p < 0.01

Like before, the R-squared increases as we add discrimination, belonging and combinations thereof (i.e. from Models 1 to 4), and the F values indicate that our predictors are jointly significant. It is also interesting to note that the association between household income and life satisfaction is twice as large for boys with a disability compared to the full sample of boys (i.e. Table 5 versus Table 6).

In Table 7, we assess the relative importance of social versus physical aspects of disability for life satisfaction by focusing on participation restrictions (i.e. difficulty with strangers, making or maintaining friends, personal care and moving around the house). We find that social restrictions, not physical, have a negative effect on life satisfaction. For boys, dealing with strangers is most important. For girls, making or maintaining friends is most important.

Table 7.

Ordinary least squares estimates of life satisfaction for youth with a disability – participation restrictions.

Coefficient (Robust Std. Error) Unless Otherwise Indicated Boys and Girls Boys Girls
Mean (Standard Deviation) of Life Satisfaction from 1 to 5 4.24 (0.68) 4.30 (0.64) 4.18 (0.71)
Dealing with Strangers -0.217*** (0.084) -0.277*** (0.099) -0.117*** (0.133)
Making or Maintaining Friends -0.293*** (0.113) -0.171 (0.138) -0.465*** (0.166)
Personal Care -0.124 (0.249) -0.079 (0.132) -0.188 (0.512)
Moving around the House 0.110 (0.217) 0.335 (0.253) -0.027 (0.371)
Girl -0.097**
Base = Boy (0.039)
Age 12 to 13 0.088 0.033 0.150**
Base = Age 14 to 15 (0.046) (0.058) (0.069)
Age 16 to 17 -0.078 -0.108 -0.057
Base = Age 14 to 15 (0.049) (0.069) (0.071)
Non-White -0.046 0.099 -0.237**
Base = White (0.063) (0.080) (0.096)
Lone Parent Family -0.072 0.008 -0.158**
Base = Two Parents (0.049) (0.066) (0.073)
Log of Real Equivalent Income 0.057*** 0.075*** 0.042
(0.019) (0.025) (0.028)
Parent with < High School -0.012 -0.040 -0.024
Base = Parent with High School (0.097) (0.176) (0.101)
Parent with Post-Secondary 0.024 -0.014 0.052
Base = Parent with High School (0.049) (0.056) (0.081)
Cycle 3.1 (2005) 0.074 0.106 0.039
Base = Cycle 2.1 (2003) (0.040) (0.055) (0.057)
R-Squared 0.0560 0.0461 0.0768
F 5.48*** 3.07*** 3.90***
Number of Observations 2193 1114 1079

** p < 0.05; *** p < 0.01

6. Discussion

In this paper, we examine the social complexities of disability among Canadian youth. We find that a large proportion have a disability (i.e. 17.7 percent), and life satisfaction is lower among them. This is especially true for girls. We also find that 12.1 percent of youth experience discrimination related to their disability. Interestingly, discrimination has a larger, negative effect on life satisfaction than the disability itself, by up to three times the amount.10 However, a sense of belonging is positively associated with life satisfaction and mitigates the negative effect of discrimination for both boys and girls. Specifically, the combination of high discrimination and low belonging has a large, negative effect on life satisfaction. But, when high discrimination is coupled with high belonging, the effect is small and statistically insignificant. Thus, a sense of belonging is an antidote to discrimination among youth with a disability. This is consistent with findings for other stigmatized groups, such as adults with a disability (Schmitt et al., 2014, Nario-Redmond et al., 2013). Presumably, discrimination reduces an individual’s sense of control, which undermines mental health (McNamara, Stevenson, & Muldoon, 2013). Yet, group identification is associated with feeling in control of one’s life and satisfaction therein (Greenaway et al., 2015).

Our results also indicate that social, not physical, aspects of disability are important for life satisfaction. The most notable gender difference in our work is that boys are particularly vulnerable to dealing with strangers while, for girls, making or maintaining friends is most important. This is consistent with evidence that peer relationships are more important for life satisfaction among girls (Ma & Huebner, 2008). In terms of predictors, we find that being non-white or in a lone parent family is negatively associated with life satisfaction for girls, while income is positively associated with life satisfaction for boys, especially those with a disability. This is consistent with evidence on the economic costs of disability among Canadian children, regardless of gender (Burton & Phipps, 2009).

Although our estimates are not causal, they suggest that a sense of belonging is positively associated with well-being for all youth and may alleviate the negative consequences of discrimination for those with a disability. This has important implications for well-being (and inequality thereof) as the negative effect of discrimination outweighs that of the disability itself. Thus, there is a role for policy in potentially improving the life satisfaction of youth with a disability. Our findings suggest that organizations that cultivate a sense of belonging may be especially beneficial for youth with a disability (e.g. 4-H, interest groups related to arts, athletics and/or intellectual pursuits). These efforts do not necessarily have to be disability-related; recall that, in our work, it is left to the adolescent to define his/her community.

In support of such policy, future research should consider what contributes to a sense of belonging and how it can best be cultivated; more work is needed to better understand the sources and forms of belonging. Relationships with parents are important to the well-being of adolescents (Nickerson and Nagle, 2004, Nickerson and Nagle, 2005), and this may be especially true for those with a disability who spend more time with adults (Solish, Perry, & Minnes, 2010). Relationships with peers are also important, but they can be difficult. Simply attending a group activity does not necessarily mean that youth with a disability feel as if they belong. Indeed, those who are in mainstream educational settings report greater stigma and negative social consequences than those who are segregated. Thus, youth with a disability may prefer social groups comprised of peers who are more like themselves (Cooney et al., 2006, Diez, 2010). In other words, sticking together may help youth with a disability cope with discrimination as it does for other stigmatized groups (Branscombe et al., 1999, Garstka et al., 2004, Nario-Redmond et al., 2013, Schmitt et al., 2002).

A number of limitations should be noted in interpreting our results. First, estimates may be subject to social desirability bias whereby youth underreport negative experiences (i.e. disability, discrimination) and overreport positive ones (i.e. life satisfaction, sense of belonging). Moreover, our data are from the 2000s, despite the fact they are unique and appropriate for our research questions. It is possible that the well-being of Canadian youth with a disability has evolved over time due to changes in relevant polices and programs.11 Also related to our data, the CCHS is cross-sectional, so we can only examine correlations. Moreover, it excludes vulnerable youth such as those with the most severe disabilities and First Nations peoples living on reserve. Finally, our cycles of the CCHS contain information about the frequency of disability, but not its nature or severity. For example, two adolescents who are often limited with different conditions may have different experiences of discrimination. However, looking across prognoses, youth with a disability are a vulnerable group with shared challenges that could be addressed by efforts that encourage a sense of belonging.

7. Conclusion

There is a complex relationship between social experiences and well-being among youth with a disability. On average, they have lower life satisfaction than their non-disabled peers. They also experience discrimination, which negatively affects life satisfaction. However, those who feel a strong sense of belonging to their community do not have lower life satisfaction, even if they experience a lot of discrimination. Thus, belonging is protective of well-being for youth with a disability. This has important implications for policy whereby organizations that cultivate a sense of belonging can offset the negative consequences of discrimination for this vulnerable group.

Acknowledgements

Angela Daley recognizes support from the USDA National Institute of Food and Agriculture, Hatch project 1011974. Data were accessed at the Atlantic Research Data Centre. Thanks to Heather Hobson for vetting the output. We are grateful to the anonymous referees of this journal for valuable feedback.

Acknowledgments

Conflict of interest

We have no conflict of interest. This work was supported by the USDA National Institute of Food and Agriculture, Hatch project 1011974. It was not involved in the conduct of research.

Ethics approval

Ethics approval is not required. We use de-identified microdata from a Statistics Canada Research Data Centre. All output adheres to the disclosure requirements of the Centre.

Footnotes

1

There is also national legislation, such as the Americans with Disabilities Act of 1990, that protects against disability-related discrimination. In Canada, people with a disability are protected by the Canadian Charter of Rights and Freedoms, as well as the Canadian Human Rights Act.

2

These are the only cycles in which our key variables are available and consistently defined (i.e. life satisfaction, discrimination and belonging). For example, questions about disability-related discrimination are not asked in later cycles, although they contain information about discrimination due to gender, race, age or appearance. Moreover, other than a recent issue of the General Social Survey, which excludes adolescents younger than 15, no other Canadian survey contains the requisite variables. Thus, despite being from the 2000s, our data are unique and appropriate for our research questions. People with a disability continue to experience widespread discrimination. The Canadian Human Rights Commission (2015) reports that nearly half of all discrimination claims filed between 2009 and 2013 were disability-related. Moreover, 27 percent of people with a disability aged 15 and older reported being bullied between 2007 and 2012, while 35 percent felt avoided or excluded at school (Canadian Human Rights Commission, 2017). Thus, we argue that the process we are interested in is not time-dependent (i.e. factors that mitigate the negative effect of discrimination for youth with a disability).

3

Thus, we use activity limitations and disability interchangeably.

4

We have also estimated these models using ordered probit techniques. Results are qualitatively similar.

5

We divide by the square root of household size. For example, a family of four with an income of $80,000 would have the same standard of living as a single individual with an income of $40,000 (i.e. $80,000/2).

6

We also estimate this model for the sample of youth with a disability where the base is never and none at all in the past 12 months. Results are comparable.

7

Results are comparable when we replace the dummy variables for disability status, discrimination and belonging with continuous scores, which we constructed from the data.

8

We also estimate this model for the sample of youth with a disability where the base low discrimination and high belonging. Results are comparable.

9

Recall that, although we focus on disability as defined by activity limitations, we also consider participation restrictions (i.e. difficulty with strangers, making or maintaining friends, personal care and moving around the house). Not all youth with activity limitations have participation restrictions.

10

This is consistent with Sutin, Stephan, and Terracciano (2015), who find that stigma associated with being overweight has a larger, negative effect on life expectancy than the condition itself.

11

The most notable change is that Canada ratified the United Nations Convention on the Rights of People with Disabilities in 2010. Yet, as described above, people with a disability continue to experience widespread discrimination (Canadian Human Rights Foundation 2015; Canadian Human Rights Foundation 2017). Perhaps not surprisingly, they remain less likely to graduate from college, be employed and are three times more likely to live below the poverty line compared to their non-disabled peers (Erickson, Lee, & von Schrader, 2014).

Contributor Information

Angela Daley, Email: angela.daley@maine.edu.

Shelley Phipps, Email: shelley.phipps@dal.ca.

Nyla R. Branscombe, Email: nyla@ku.edu.

References

  1. Ash C., Huebner E.S. Environmental events and life satisfaction reports of adolescents: A test of cognitive mediation. School Psychology International. 2001;22:320–336. [Google Scholar]
  2. Baumeister R.F., Leary M.R. The need to belong: Desire for interpersonal attachments as a fundamental human motivation. Psychological Bulletin. 1995;117:497–529. [PubMed] [Google Scholar]
  3. Boyce W.F., Davies D., Raman S.R., Tynjala J., Valimass R., King M., Gallupe O., Kannas L. Emotional health of Canadian and Finnish students with disabilities or chronic conditions. International Journal of Rehabilitative Research. 2009;32:154–161. doi: 10.1097/MRR.0b013e32831e452e. [DOI] [PubMed] [Google Scholar]
  4. Branscombe N.R., Schmitt M.T., Harvey R.D. Perceiving pervasive discrimination among African-Americans: implications for group identification and well-being. Journal of Personality and Social Psychology. 1999;77:135–149. [Google Scholar]
  5. Burton P., Chen K., Lethbridge L., Phipps S. Child health and parental paid work. Review of Economics of the Household. 2017;15:597–620. [Google Scholar]
  6. Burton P., Phipps S. Economic resources, relative socioeconomic position and social relationships: correlates of the happiness of young Canadian teens. Child Indicators Research. 2008;1:350–371. [Google Scholar]
  7. Burton P., Phipps S. Economic costs of caring for children with disabilities in Canada. Canadian Public Policy. 2009;35:269–290. [Google Scholar]
  8. Canadian Human Rights Commission (2015). The Rights of Persons with Disabilities to Equality and Non-Discrimination: Monitoring the Implementation of the UN Convention on the Rights of Persons with Disabilities in Canada. Cat. HR4-29/2015E-PDF.
  9. Canadian Human Rights Commission (2017). Left Out: Challenges Faced by Persons with Disabilities in Canada’s Schools. Cat. HR4-41/2017E-PDF.
  10. Casas F., Figuer C., Gonzalez M., Malo S., Alsinet C., Subarroca S. The well-being of 12- to 16-year-old adolescents and their parents: Results from 1999 to 2003 samples. Social Indicators Research. 2007;83:87–115. [Google Scholar]
  11. Cooney G., Jahoda A., Gumley A., Knott F. Young people with intellectual disabilities attending mainstream and segregated schooling: Perceived stigma, social comparison and future aspirations. Journal of Intellectual Disability Research. 2006;50:433–444. doi: 10.1111/j.1365-2788.2006.00789.x. [DOI] [PubMed] [Google Scholar]
  12. Corman H., Noonan K., Reichman N.E. Mothers' labor supply in fragile families: The role of child health. Eastern Economic Journal. 2005;31:601–616. [Google Scholar]
  13. Diez A.M. School memories of young people with disabilities: An analysis of barriers and aids to inclusion. Disability and Society. 2010;25:163–175. [Google Scholar]
  14. Dirth T.P., Branscombe N.R. Disability models affect disability policy support through awareness of structural discrimination. Journal of Social Issues. 2017;73:413–442. [Google Scholar]
  15. Dovidio J.F., Pagotto L., Hebl M.R. Implicit attitudes and discrimination against people with disabilities. In: Weiner R.L., Willborn S.L., editors. Disability and Aging Discrimination: Perspectives in Law and Psychology. Springer; New York: 2011. pp. 157–184. [Google Scholar]
  16. Dunn D.S. Oxford University Press; New York: 2015. The social psychology of disability. [Google Scholar]
  17. Dunn D.S., Brody C. Defining the good life following acquired physical disability. Rehabilitation Psychology. 2008;53:413–425. [Google Scholar]
  18. Edwards T.C., Donald P.L., Topolski T.D. Quality of life of adolescents with perceived disabilities. Journal of Pediatric Psychology. 2003;4:233–241. doi: 10.1093/jpepsy/jsg011. [DOI] [PubMed] [Google Scholar]
  19. Erickson W., Lee C., von Schrader S. Institute on Employment and Disability Institute, Cornell University; New York: 2014. 2014 disability status report: United States. [Google Scholar]
  20. Foley K.R., Blackmore A.M., Girdler S., O’Donnell M., Glauert R., Lllewellyn G., Leonaard H. To feel belonged: The voices of children and youth with disabilities on the meaning of wellbeing. Child Indicators Research. 2012;5:375–391. [Google Scholar]
  21. Garstka T.A., Schmitt M.T., Branscombe N.R., Hummert M.L. How young and older adults differ in their responses to perceived age discrimination. Psychology and Aging. 2004;19:326–335. doi: 10.1037/0882-7974.19.2.326. [DOI] [PubMed] [Google Scholar]
  22. Gould E. Decomposing the effects of children’s health on mother’s labor supply: Is it time or money? Health Economics. 2004;13:525–541. doi: 10.1002/hec.891. [DOI] [PubMed] [Google Scholar]
  23. Greenaway K.H., Haslam S.A., Haslam T., Branscombe N.R., Ysseldyk R., Heldreth C. From “we” to “me”: Group identification enhances perceived personal control with consequences for health and well-being. Journal of Personality and Social Psychology. 2015;109:53–74. doi: 10.1037/pspi0000019. [DOI] [PubMed] [Google Scholar]
  24. Helliwell J.F., Barrington-Leigh C., Harris A., Huang H. International evidence on the social context of well-being. In: Diener E., Helliwell J.F., Kahneman D., editors. International Differences in Well-Being. Oxford University Press; Oxford, United Kingdom: 2010. pp. 291–327. [Google Scholar]
  25. Holder M.D., Coleman B. The contribution of social relationships to children’s happiness. Journal of Happiness Studies. 2009;10:329–349. [Google Scholar]
  26. Huckstadt L.K., Shutts K. How young children evaluate people with and without disabilities. Journal of Social Issues. 2014;70:99–114. doi: 10.1111/josi.12049. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Huebner E.S. Research on assessment of life satisfaction of children and adolescents. Social Indicators Research. 2004;66:3–33. [Google Scholar]
  28. Huebner E.S., Suldo S.M., Valois R.F., Drane J.W., Zullig K.J. Brief multidimensional students' life satisfaction scale: Sex, race, and grade effects in a high school sample. Psychological Reports. 2004;94:351–356. doi: 10.2466/pr0.94.1.351-356. [DOI] [PubMed] [Google Scholar]
  29. Jetten J., Haslam S.A., Haslam C., Branscombe N.R. The social cure. Scientific American Mind. 2009;20:26–33. [Google Scholar]
  30. Langeveld J.H., Koot H.M., Passchier J. Do experienced stress and trait negative affectivity moderate the relationship between headache and quality of life in adolescents? Journal of Pediatric Psychology. 1999;24:1–11. [Google Scholar]
  31. Lindsay S., McPherson A.C. Experiences of social exclusion and bullying at school among children and youth with cerebral palsy. Disability and Rehabilitation. 2012;34:101–109. doi: 10.3109/09638288.2011.587086. [DOI] [PubMed] [Google Scholar]
  32. Ma C.Q., Huebner E.S. Attachment relationships and adolescents' life satisfaction: Some relationships matter more to girls than boys. Psychology in the Schools. 2008;45:177–190. [Google Scholar]
  33. McNamara N., Stevenson C., Muldoon O.T. Community identity as resource and context: A mixed method investigation of coping and collective action in a disadvantaged community. European Journal of Social Psychology. 2013;43:393–403. [Google Scholar]
  34. Nario-Redmond M.R. Cultural stereotypes of disabled and non-disabled men and women: Consensus for global category representation in diagnostic domains. British Journal of Social Psychology. 2010;49:471–488. doi: 10.1348/014466609X468411. [DOI] [PubMed] [Google Scholar]
  35. Nario-Redmond M.R., Noel J.G., Fern E. Redefining disability, re-imagining the self: Disability identification predicts self-esteem and strategic responses to stigma. Self and Identity. 2013;12:468–488. [Google Scholar]
  36. Nickerson A.B., Nagle R.J. The influence of parent and peer attachments on life satisfaction in middle childhood and early adolescence. Social Indicators Research. 2004;66:35–60. [Google Scholar]
  37. Nickerson A.B., Nagle R.J. Parent and peer attachment in late childhood and early adolescence. Journal of Early Adolescence. 2005;25:223–249. [Google Scholar]
  38. Nowicki E.A., Sandieson R. A meta-analysis of school-age children’s attitudes towards persons with physical or intellectual disabilities. International Journal of Disability, Development, and Education. 2002;49:243–265. [Google Scholar]
  39. Powers E.T. Children’s health and maternal work activity: Estimates under alternative disability definitions. Journal of Human Resources. 2003;38:522–556. [Google Scholar]
  40. Proctor C.L., Linley P.A., Maltby J. Youth life satisfaction: A review of the literature. Journal of Happiness Studies. 2009;10:583–630. [Google Scholar]
  41. Schmitt M.T., Branscombe N.R., Kobrynowicz D., Owen S. Perceiving discrimination against one’s gender group has different implications for well-being in women and men. Personality and Social Psychology Bulletin. 2002;28:197–210. [Google Scholar]
  42. Schmitt M.T., Branscombe N.R., Postmes T., Garcia A. The consequences of perceived discrimination for psychological well-being: a meta-analytic review. Psychological Bulletin. 2014;140:921–948. doi: 10.1037/a0035754. [DOI] [PubMed] [Google Scholar]
  43. Schmitt M.T., Spears R., Branscombe N.R. Constructing a minority group identity out of shared rejection: the case of international students. European Journal of Social Psychology. 2003;33:1–12. [Google Scholar]
  44. Scotch R.K. Disability as the basis for a social movement: Advocacy and the politics of definition. Journal of Social Issues. 1988;44:159–172. [Google Scholar]
  45. Siddiqi A., Shahidi F.V., Ramraj C., Williams D.R. Associations between race, discrimination and risk for chronic disease in a population-based sample from Canada. Social Science Medicine. 2017;194:135–141. doi: 10.1016/j.socscimed.2017.10.009. [DOI] [PubMed] [Google Scholar]
  46. Smart J.F. The power of models of disability. Journal of Rehabilitation. 2009;75:3–11. [Google Scholar]
  47. Snowdon, A. (2012). Strengthening Communities for Canadian Children with Disabilities. The Sandbox Project’s In Proceedings of the 2nd Annual Conference. Discussion Document.
  48. Solish A., Perry A., Minnes P. Participation of children with and without disabilities in social, recreational and leisure activities. Journal of Applied Research in Intellectual Disabilities. 2010;23:226–236. [Google Scholar]
  49. Sutin A.R., Stephan Y., Terracciano A. Weight discrimination and risk of mortality. Psychological Science. 2015;26:1803–1811. doi: 10.1177/0956797615601103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. United Nations Convention on the Rights of the Child (1989). Article 23. Retrieved from: 〈http://www.ohchr.org/Documents/ProfessionalInterest/crc.pdf〉. (Accessed 31 January 2017).
  51. Watermeyer B., Gorgens T. Disability and internalized oppression. In: David E.J.R., editor. Internalized Oppression: The Psychology of Marginalized Groups. Springer; New York: 2014. pp. 253–280. [Google Scholar]
  52. Yuker H.E. Variables that influence attitudes toward people with disabilities: Conclusions from the data. Journal of Social Behavior and Personality. 1994;9:3–22. [Google Scholar]
  53. Zhang L., Osberg L., Phipps S. Is all bullying the same? Archives of Public Health. 2014;72:1–18. doi: 10.1186/2049-3258-72-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Zullig K.J., Valois R.F., Huebner E.S., Drane J.W. Associations among family structure, demographics, and adolescent perceived life satisfaction. Journal of Child and Family Studies. 2005;14:195–206. [Google Scholar]

Articles from SSM - Population Health are provided here courtesy of Elsevier

RESOURCES