Introduction
Ageism was first coined by Robert Butler over 50 years ago (Butler, Reference Butler1969). Since then, it has received growing attention given its important public health impact (Levy et al., Reference Levy, Slade, Chang, Kannoth and Wang2020). Ageism is currently defined as discrimination, prejudice, and stereotypes based on age (Officer and de la Fuente-Núñez, Reference Officer and de la Fuente-Núñez2018). It can be either positive or negative and is directed towards people of various age groups. Ageism can occur at the institutional level as well as at the individual level (Officer and de la Fuente-Núñez, Reference Officer and de la Fuente-Núñez2018). Another important component concerning ageism is the fact that it can be directed towards oneself as well as towards others (Ayalon and Tesch-Römer, Reference Ayalon and Tesch-Römer2017).
Ageism is particularly prominent in the healthcare system (Ben-Harush et al., Reference Ben-Harush2017; Wyman et al., Reference Wyman, Shiovitz-Ezra, Bengel, Ayalon and Tesch-Römer2018), where the present study takes place. Specifically, there is ample research to show that multiple healthcare professionals are inclined to work with younger people rather than older people (Lester et al., Reference Lester, Dharmarajan and Weinstein2020). Moreover, multiple studies have shown that when health and social care professionals are presented with similar cases, apart from one’s age, they are likely to show a bias towards younger people. Specifically, physicians are less likely to treat older people for suicide risk (Uncapher and Areán, Reference Uncapher and Areán2000) and more likely to prescribe older people medication, rather than therapy for sexual dysfunction (Gewirtz-Meydan and Ayalon, Reference Gewirtz-Meydan and Ayalon2017). Moreover, social care professionals are less likely to identify intimate partner violence as abuse in the case of older people and are less likely to offer social interventions (Yechezkel and Ayalon, Reference Yechezkel and Ayalon2013). Healthcare professionals also are less likely to talk directly to older people, but rather address those who accompany them (Ben-Harush et al., Reference Ben-Harush2017). The impact of ageism does not end here as older people internalize negative stereotypes of old age throughout their lives and these become self-relevant in old age (Levy, Reference Levy2009). Past research has shown that negative self-perceptions of aging (SPA) are associated with a variety of negative health and mental health outcomes including increased mortality risk (Ayalon, Reference Ayalon2016; Levy et al., Reference Levy, Slade and Kasl2002a; Sargent-Cox et al., Reference Sargent-Cox, Anstey and Luszcz2014). Moreover, a recent systematic review encompassing 422 studies and over 7 million participants has concluded that the negative effects of ageism on older people’s health occur simultaneously at the individual (e.g. self-ageism) and structural levels (e.g. discriminatory practices) in different continents (Chang et al., Reference Chang, Kannoth, Levy, Wang, Lee and Levy2020b).
Ageism intersects with culture
Like many other social phenomena, the topic of ageism has been examined from cross-national and cross-cultural perspectives (Bergman et al., Reference Bergman, Bodner and Cohen-Fridel2013; Bodner, Reference Bodner and Nelson2017; North and Fiske, Reference North and Fiske2015; Vauclair et al., Reference Vauclair, Hanke, Huang and Abrams2017; Wilińska et al., Reference Wilińska, de Hontheim, Anbäcken, Ayalon and Tesch-Römer2018). These perspectives are important as they highlight the role of culture in determining people’s attitudes, feelings, and behaviors towards older adults. A recent meta-analysis has found that in contrast to expectations, ageism is more common in Eastern societies than in the Western world (North and Fiske, Reference North and Fiske2015). This has been attributed to several reasons (North and Fiske, Reference North and Fiske2015), including modernization processes that have taken place in the East and likely reduce East-West differences, the rapid aging of the population in the East, which might bring with it higher levels of ageism and the limited intergenerational contact found in some Eastern societies (Luo et al., Reference Luo, Zhou, Jin, Newman and Liang2013; Woo, Reference Woo2020). Nonetheless, there are arguments to the contrary that should be considered as well (North and Fiske, Reference North and Fiske2015). These may include the fact that Eastern societies are more likely to lean towards interdependence and to follow the tradition of filial piety (North and Fiske, Reference North and Fiske2015; Woo, Reference Woo2020).
While these studies concern the question of ageism in different societies or cultural contexts, a somewhat different question concerns the intersection of ageism with other cultural/national characteristics, which possibly put some groups at a greater or lesser risk for ageism (Marcus and Fritzsche, Reference Marcus and Fritzsche2014). This follows the rationale that age alone is not necessarily a criterion for the experience of ageism, but age in combination with other characteristics might expose people to heightened levels of ageism (Jones et al., Reference Jones, Sabat, King, Ahmad, McCausland and Chen2017). Specifically, the double jeopardy theory argues that possessing more than one devalued status puts people at a greater disadvantage due to the multiplied effect of disadvantages interaction. The theory would suggest that in addition to older age, various social characteristics including cultural origin or underrepresented (minority) affiliation would be the basis for intensified discrimination (Ferraro and Farmer, Reference Ferraro and Farmer1996). According to this theory, people are more likely to be discriminated against if they possess more than a single category that marginalizes them. Hence, being older and belonging to an underrepresented group would result in higher levels of ageism and discrimination (e.g. double jeopardy; Chatters et al., Reference Chatters, Taylor and Taylor2020).
Another intersection that has been characterized as double jeopardy is the intersection between older age and immigration status (Raijman and Semyonov, Reference Raijman and Semyonov1997). As older migrants are less likely to be welcomed in the host country due to their age, migration often is restricted to the younger generations, who leave the older generations behind. When migrants grow older, they may experience poorer health, fewer social ties and limited financial resources compared with non-migrants. Thus, their age intersects with their migration status to create a less desired aging trajectory compared with non-migrants (Dolberg et al., Reference Dolberg, Sigurðardóttir, Trummer, Ayalon and Tesch-Römer2018). Consistent with the double jeopardy theory, research has claimed that older women might experience a double disadvantage due to the intersection between old age and women gender, as both characteristics represent disadvantaged statuses (Krekula et al., Reference Krekula, Nikander, Wilińska, Ayalon and Tesch-Römer2018).
A different claim would argue for an intersectional escape or even a double advantage associated with selected combinations of sociodemographic characteristics (Marcus and Fritzsche, Reference Marcus and Fritzsche2014). Specifically, being an older person of an underrepresented group might result in an improved status, even though each of these categories alone (e.g. belonging to an underrepresented group or being an older person) would result in discrimination and a lower status. In support of this hypothesis, research has shown that older women are seen as less threatening and more likable than older men, even though both older people and women belong to lower status categories (Martin et al., Reference Martin, North and Phillips2018).
The present study
The present study aims to examine the manifestation of ageism in three different Israeli groups: Israeli Jews (e.g. the majority culture), Israeli Arabs, and Israelis who immigrated from the former Soviet Union. The latter two groups are considered underrepresented groups in Israeli society. The choice of these three groups stems from the fact that despite the large diversity within each group, they represent a broad division of the main groups in Israel (Brodsky et al., Reference Brodsky, Snor, Beer and Newil2018).
Israeli Jews represent 75% of the population, but over 90% of the population over the age of 65. At the ages of 65 and over, only 22% of Israeli Jews were born in Israel and the remaining were born abroad. Thus, we term this group veteran Israelis to indicate their extended length of time in the country which tends to be associated with multiple advantages, including improved socioeconomic status, health, and physical functioning (Spalter et al., Reference Spalter, Brodsky and Shnoor2014). Israeli Arabs represent the largest underrepresented group and constitute about 20% of the entire population, but 8% of those over the age of 65. It is important to note that the term Israeli Arabs represents a highly diverse group, including Muslims, Christians, Druze, and Bedouins. Each of these groups has its own unique features. The third group represents Israelis from the former Soviet Union. This group constitutes about 23% of the population over the age of 65. It is relatively more educated than the general population in Israel and has fewer children relative to veteran Israelis as well as relative to Israeli Arabs (Brodsky, Reference Brodsky, Snor, Beer and Newil2018). Despite the high diversity within each of these groups, past research, including large-scale surveys such as the Survey of Health Ageing and Retirement in Europe have employed similar categorization to reflect different groups in Israeli society.
Research on ageism in Israel has found that the rates of ageism are comparable to those reported in other countries. However, in contrast with the general trend which found higher levels of ageism, compared with racism and sexism in multiple European countries, in Israel, the public tends to report higher levels of racism, compared with ageism and sexism (Doron et al., Reference Doron, Ayalon, Shiovitz-Ezra, Bodner, Inbar, Koren, Golander, Hazan, Alon and Brodsky2011).
Research that has focused on the different groups within Israeli society has found variability in ageism across groups (Bergman et al., Reference Bergman, Bodner and Cohen-Fridel2013). Specifically, a study that examined ageism in Israeli Arabs and Jews among young adults has found that the latter group reports higher levels of ageism compared with Israeli Arabs. Israeli Arabs reported that their culture is more tolerant towards older people and less fearful of them. The study has concluded that older people in the Arab sector enjoy lower levels of ageism due to a more reverent approach towards old age, reflecting more traditional values (Bergman et al., Reference Bergman, Bodner and Cohen-Fridel2013). A different qualitative study, in contrast, was conducted with older Israeli Arabs and their family caregivers. Whereas older Israeli Arabs tended to report high levels of loneliness and a preference towards paid care, arguing that times are changing even in the Arab society, their younger family carers tended to stress the traditional characteristics of the Arab society and their respect and commitment to their elders. The study possibly points to modernization processes in the Arab community in Israel, which are more easily acknowledged by older adults, rather than by younger adults (Ayalon et al., Reference Ayalon, Karkabi, Bleichman, Fleischmann and Goldfracht2015).
To date, research has not examined ageism among Israelis from the former Soviet Union. Nonetheless, research has shown that the living arrangements of this group often consist of older people, living alongside younger people, like the Arab sector in Israel. In addition, both groups are more likely to experience discrimination based on their group membership compared with veteran Israelis (Ayalon, Reference Ayalon2019; Epel et al., Reference Epel, Kaplan and Moran2010; Golan-Agnon, Reference Golan-Agnon2006; Titzmann et al., Reference Titzmann, Silbereisen, Mesch and Schmitt-Rodermund2011).
Considering these contrasting findings, we examined differences across three Israeli groups to test the double jeopardy vs. the intersectional escape/double advantage hypotheses. Hence, we examined whether being older and belonging to an underrepresented group serve as a double burden, exposing older adults who belong to underrepresented groups to higher levels of perceived ageism or on the contrary, serve as protective factors. As research has been inconclusive and quite limited to date, no clear direction to the relationships examined under these research questions is stated.
Methods
Data and participants
The sampling frame was developed by a survey agency. Data are based on a national survey of adults aged 50 and above in Israel. Surveys were conducted in Hebrew, Arabic or Russian via the telephone by trained interviewers between April and July, 2020. The sample was composed of 1,570 participants and was representative of the population of adults aged 50 and above in Israel. An ethical approval was obtained by the PI’s university and all participants provided a verbal informed consent after learning about the purpose of the study.
Measures
Self-perceptions of aging
This measure was used as a proxy of reported of ageism towards oneself. Adults’ perceptions of their aging were assessed using the five-items “Attitudes toward aging” subscale of the “Philadelphia Geriatric Center Morale Scale” (Liang and Bollen, Reference Liang and Bollen1983). This scale assesses participants’ evaluation of their experiences of aging: “Things keep getting worse as I get older;” “I have the same energy level as I had last year;” “As I get older, I feel more useless;” “I am happy now as I was when I was younger;” “As I get older, things are better than I thought they’d be.” Each item has response options ranging from “Strongly disagree” (1) to “Strongly agree” (6) and a mean score was calculated. The scale had good internal reliability in the current sample (α = 0.75).
Perceived age-based discrimination
We measured experiences of discrimination based on age in the healthcare system (i.e. during visits to doctors, HMOs or hospitals). Respondents were asked how often they had four discriminatory experiences in the healthcare system because of their age in the past year (e.g.“being treated with less respect because of your age”). Three of these options were based on the leave-behind questionnaire of the Health and Retirement Survey (Willis et al., 2006). We added an additional variable of “Talking to your companion instead of directly to you,” based on previous research on ageism in the Israeli healthcare system (Ben-Harush et al., Reference Ben-Harush2017). We calculated a dummy variable that received 1 if participants reported having any such experience, and 0 if they reported no such experiences. The focus on the healthcare system was geared by the fact that this is one of the most important contexts in which ageism towards older people occurs (Ayalon and Tesch-Römer, Reference Ayalon and Tesch-Römer2018).
Group membership
Participants were classified into groups based on the language of their interview. Hebrew speakers were tagged as veteran Jews, Arabic speakers were Arab Israelis, and Russian speakers were classified as immigrants from the former Soviet Union. The same classification has been used by the Survey of Health Ageing and Retirement in Europe (http://igdc.huji.ac.il/englishsite/share/home.aspx) with most studies on group membership in Israel using a similar methodology.
Covariates
Background information was gathered using age (continuous), gender, and years of education. Participants were also asked to define the state of their health, with responses ranging from 1 (“bad”) to 5 (“excellent”). Financial status was assessed by asking about the household’s ability to make ends meet financially. We also divided participants into being partnered or not in a partnership. Depression was assessed using the two-item Patient Health Questionnaire (PHQ-2). This measure is comprised of the first two questions of the PHQ- 9, which reflect the core symptoms of depression in the previous 2 weeks (low mood, loss of interest/pleasure; Löwe et al., Reference Löwe, Kroenke and Gräfe2005). Response options for both items range from 1 “Not at all” to 4 “Almost every-day” and the depression score is based on their average. These covariates were selected given their past association with various measures of ageism (Ayalon, 2013; Reference Ayalon2018; Diehl et al., Reference Diehl, Wettstein, Spuling and Wurm2021).
Data analysis
We began our analyses with descriptive data of the study sample. We then conducted bivariate analyses of the study variables with the three groups. Chi-square tests measured the bivariate associations with dichotomous variables and ANOVAs with categorical variables. The main stage of analysis was a series of regression models that predicted the two dependent variables (SPA and perceived age-based discrimination) using the independent study variables and the covariates. Each model was run twice – once with the study variables and then with an interaction term of age and group membership. Age was centered at 65, so that the main effects of the group membership when the interaction is entered will be interpreted as representing the effects among adults aged 65 years old. The interaction between age and group membership was examined to see whether age indeed makes a difference regarding the research questions (e.g. double jeopardy vs. intersectional escape/double advantage). We used OLS regression models to predict SPA. Logistic regression models predicted perceived age-based discrimination, as it was a binary variable.
Results
Table 1 shows the sample characteristics. Twenty-eight percent of the sample reported any experience of discrimination in healthcare. Their self-perceptions of aging were somewhat positive (4 of 6). In terms of groups, most of the sample was composed of veteran Jews, almost one fifth were Israeli Arabs, and a minority were immigrants. The sample mean age was 64 and almost half were women. They were relatively well-educated with an average of 13 years of education. They rated their financial status and health as medium and over three quarters were partnered. They had a relatively low depression score.
Sample characteristics of the study
Note. SPA = Self-perceptions of aging.
Supplemental Table 1 shows the bivariate associations of the study variables with the group membership. Group differences were seen in relation to SPA – participants from both underrepresented groups reported worse SPA compared to participants from the majority group. In addition, participants from the underrepresented groups reported experiencing significantly more age-based discrimination in healthcare settings. Specifically, 54% of Arab Israelis and 47% of the immigrants reported such experiences, while only 20% of veteran Jews had such reports. Additional patterns of differences emerged between the groups. Immigrants were older and more educated, whereas veteran Jews reported the best financial status and rated their health as best. Interestingly, Arab Israelis reported the least depression. The groups did not differ in relation to gender and partnership status.
The main stage of the analysis was the regression models. Table 2 presents the regression model predicting SPA. Adults from both underrepresented groups reported worse SPA compared to the majority group. The interaction with age was found to be significant in a significance test comparing the nested models with main effects and with the addition of the interaction (F(2, 1,435) = 5.84, p = 0.003). The interaction terms were significant for both underrepresented groups, but in opposite directions. Among the Israeli Arabs, being older was related to better SPA, whereas among the immigrants being older was related to worse SPA. The interaction is presented graphically in Figure 1.
Linear regression models predicting self-perceptions of aging
Note.*p < .05, **p <.01, ***p < .001; SPA = Self-perceptions of aging.
1 Reference: Veteran Jews.
Self-perceptions of aging as a function of the interaction between population group membership and age.
Table 3 presents a logistic regression predicting perceived age-based discrimination. It shows that both underrepresented groups had a higher likelihood of experiencing age-based discrimination compared to the majority group. The interaction with age was found to be significant in a significance test comparing the nested models with main effects and with the addition of the interaction (χ 2(2, 1435) = 9.12, p = 0.01). The immigrants had an interaction with age, such that as they became older, they were more likely to report ageist experiences. Figure 2 presents the logistic regression curve which indicates the probability of experiencing age-based discrimination among the three groups of various ages. We note that the interaction terms added only one additional percent to the variance explained by the regression models. They serve, therefore, mainly to underscore the dynamics of the inter-relationship between age and group membership in relation to ageism.
Logistic regression models predicting perceived age-based discrimination
Note.*p < .05, **p <.01, ***p < .001.
1 Reference: Veteran Jews.
Perceived age-based discrimination as a function of the interaction between population group membership and age.
Discussion
Ageism does not take place in a vacuum. Instead, it occurs within a social context in which cultural beliefs and values likely play a role (Bodner, Reference Bodner and Nelson2017; Wilińska et al., Reference Wilińska, de Hontheim, Anbäcken, Ayalon and Tesch-Römer2018). Moreover, it is not age alone, which affects people’s experiences of discrimination, but instead age intersects with other characteristics (Marcus and Fritzsche, Reference Marcus and Fritzsche2014). The present study is set to examine research questions, which are not only theoretical in nature, but also of important practical implications. As ageism plays a major role in people’s life experiences and has major public health implications (Chang et al., Reference Chang, Kannoth, Levy, Wang, Lee and Levy2020a; Levy et al., Reference Levy, Slade, Chang, Kannoth and Wang2020), it is important to better understand the social contexts and personal characteristics that are of relevance to people’s experiences of ageism. Relying on the large diversity of Israeli society, we examined ageist beliefs as well as perceived ageist practices in three different groups: the majority group of veteran Israelis, Israeli Arabs, and Israelis from the former Soviet Union.
Our findings suggest that indeed, group membership plays a role in people’s reports of self-ageism. Specifically, for SPA, there was a significant interaction between group membership and age. For Arab Israelis, as age increased, SPA improved. For Israelis from the former Soviet Union, on the other hand, as age increased, SPA became increasingly worse. The question concerning the role of group membership in people’s SPA is not only theoretical. Past research has shown that SPA plays a major role in people’s health, well being, ability to cope with various health problems and even mortality (Ayalon, Reference Ayalon2016; Levy and Myers, Reference Levy and Myers2004; Levy et al., Reference Levy, Slade, Kunkel and Kasl2002b). Hence, the group differences identified in this study possibly allude to those groups that require further education and support concerning their aging process.
The Arab population has been portrayed in past research as a more traditional, filial society, which respects its elders (Bergman et al., Reference Bergman, Bodner and Cohen-Fridel2013). As such, it is possible that as people age, their self-perceptions of their own aging improve. Hence, they possibly experience advantageous aging as they reach old age. In contrast, Israelis from the former Soviet Union experienced migration in older age and often were forced to pursue employment paths for which they were over qualified (Getta, Reference Getta2020). In old age, it is possible that past experiences of migration play a role and result in lower SPA. This follows the cumulative disadvantages theory, which suggests that multiple negative experiences accumulate in old age (Ferraro et al., Reference Ferraro, Shippee, Schafer, Bengston, Gans, Pulney and Silverstein2009). Hence both the double jeopardy and the intersectional escape/double advantage hypotheses are supported here. When reviewing these findings, however, it is important to acknowledge the fact that SPA may reflect different experiences for middle-aged respondents, who view SPA as a future-oriented expectation, whereas older people, report their SPA based on their current aging experiences. Hence, even though the same measure is used to assess SPA across different age groups, the construct is interpreted differently in different age groups.
As for perceived age-based discrimination, our findings support the double jeopardy hypothesis by showing that both Arab Israelis and Israelis from the former Soviet Union report higher levels of discrimination in the health care system. Arab Israelis were five times more likely to report discrimination, compared to the veteran Jews, and immigrants from the former Soviet Union were three times more likely to experience discrimination. Moreover, Israelis from the former Soviet Union reported higher levels of perceived ageism in the healthcare system as their age increase, suggesting that the experience of perceived age discrimination intensifies with age. This was not the experience of Israeli Arabs who reported higher levels of discrimination regardless of their age. We note that the use of the age-based interaction term added only one additional percent to the variance explained by the regression. It serves, therefore, mainly to underscore the dynamics of the inter-relationship between age and group membership in relation to age-based discrimination.
Israelis from the former Soviet Union represent a unique group of migrants who are better qualified and educated than the majority culture yet migrated at a later stage in life and as a result were not adequately absorbed in the country. The fact that these individuals chose to be interviewed in Russian more than 20 years after the large immigration wave had ended further alludes to their limited integration in the country. This group is likely disadvantaged due to its migration status as well as old age (Dolberg et al., Reference Dolberg, Sigurðardóttir, Trummer, Ayalon and Tesch-Römer2018). Hence, as the age of members in this group increases, they likely report higher levels of perceived age-based discrimination. Similar to Israelis from the former Soviet Union (Titzmann et al., Reference Titzmann, Silbereisen, Mesch and Schmitt-Rodermund2011), Israeli Arabs also are exposed to high levels of discrimination in Israeli society (Golan-Agnon, Reference Golan-Agnon2006). Even more specifically, past research has shown that Israeli Arabs perceive high levels of discrimination in the context of elder care (Ayalon, Reference Ayalon2019). Whereas that study has found that they tended to assign the reasons for discrimination to their minority status, the present study adds by showing that sense of discrimination also is attributed to age, thus possibly stressing the relevance of the double jeopardy hypothesis.
In reviewing the study findings, it is important to consider its limitations. First, we did not evaluate other types of discrimination. Thus, we can talk about the double jeopardy hypothesis in relation to ageism, but not in relation to other prominent “isms” including sexism or racism. Second, as already noted, our selection of groups was based on their preferred language. The choice not to speak Hebrew, but rather Russian or Arabic points to a tendency to disassociate from the majority culture, which speaks Hebrew. Our findings might have been different had we included people of these population groups, regardless of their preferred language. This, however, is the common practice in other nationally representative studies conducted in Israel, such as the Survey of Health Ageing and Retirement in Europe (Litwin and Sapir, Reference Litwin and Sapir2008). Another fact that should be noted is the small effect size of the interaction effects identified in this study. This suggests that the interpretation of these interactions should be done with cautious, with the understanding that statistical significance is not equal to clinical significance.
Despite its limitations, the study has several strengths that should be noted. Relying on a large, representative sample of people over the age of 50, this study examined the phenomenon of ageism from different theoretical perspectives. Our findings show that older Israeli Arabs tend to report better SPA as they grow older, whereas older Israelis from the former Soviet Union are more likely to report worse SPA, as they grow older. Moreover, older migrants from the former Soviet Union are particularly likely to report high levels of perceived age-based discrimination, as they grow older, whereas Israeli Arabs are likely to report higher perceived age-based discrimination regardless of their age. The findings point to certain groups that require education about ageism and the aging processes and might require further protection from the experiences of self-ageism and ageism. The findings also point to the relevance of different theoretical paradigms that advocate for the consideration of culture and group membership in the understanding of the experiences of ageism. As the groups examined in this study are largely heterogenous in nature, future research will benefit from the more refined categorization of group membership to better understand this heterogeneity. In addition, qualitative research can provide important insights into the findings by exploring their meaning in more nuanced ways.
Conflict of interest
None.
Description of author(s)’ roles
LA: concept development, drafting of the manuscript, and critical revisions; ECS: concept development, data analysis, and critical revisions.
Acknowledgement
The study was funded by the Israel National Institute for Health Policy Research 2018/4r.
Supplementary material
To view supplementary material for this article, please visit https://doi.org/10.1017/S1041610221001241
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