Abstract
Epidemiological data show that men and women have similar probabilities of contracting COVID-19. However, men with COVID-19 tend to have more severe outcomes than women. We performed two studies to analyze the associations between gender, adherence to traditional masculinity ideology, perceived vulnerability to COVID-19, and the adoption of protective behaviors against COVID-19. In Study 1 (quota sample of the Italian adult population, N = 1,142), we found no differences between men and women in terms of the perceived probability of contracting COVID-19. However, compared to women, men perceived themselves to be less likely to suffer severe consequences if falling ill. In Study 2 (Italian community sample, N = 305), a moderated mediation model showed that adherence to traditional masculinity ideology moderated the association between being man and the perceived severity of the consequences of COVID-19, which, in turn, showed negative associations with three protective behaviors against COVID-19. The article ends with a discussion of the strengths and limitations of this research.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Introduction
As of July 2022, more than 500 million people worldwide have been infected with COVID-19 and more than 6 million have died due to the virus. Epidemiological data show men and women have similar probabilities of contracting COVID-19 (e.g., Chen et al., 2020; Zhao et al., 2020). However, compared to women, men with COVID-19 tend to have more severe outcomes (Peckham et al., 2020; Ueyama et al., 2020) and a higher mortality rate (Newman, 2021; Peckham et al., 2020). These results, which are consistent with those showing that women have longer life expectancies than men even in ‘normal times’ (Barford et al., 2006; Conti et al., 2003), are stable across contexts, recurring in France, Spain, Germany, Switzerland (Gebhard et al., 2020), China (Ahrenfeldt et al., 2021), Bangladesh (Al-Bari et al., 2021), and Canada (O’Brien et al., 2021), among other countries. The same pattern has been identified for Italy, where we conducted this research (Gebhardt et al., 2020).
Epidemiologists, virologists, and infectious disease specialists have attempted to explain these sex differences in the consequences of COVID-19 predominantly in terms of medical variables that differentiate men and women, such as differences in sex steroid hormones (Lipsa & Prabhu, 2021), levels of growth hormone (Lubrano et al., 2021), immune responses (Li & Li, 2021), genetic predispositions for contracting COVID-19 (Bartz et al., 2020), comorbidities (Salah & Mehta, 2020), and lifestyles (Abate et al., 2020). However, some researchers recommend employing a less reductionist approach to the topic, suggesting that the differences in consequences could depend on a complex interaction between biological, behavioral, environmental, and socioeconomic factors (Zarulli et al., 2018). For example, when ill, men are less predisposed toward help-seeking than women (Yousaf et al., 2015).
As Bridges and colleagues (2021) argued, cultural norms concerning gender have played a crucial role in the COVID-19 pandemic, both in terms of the macro level of analysis—because national decisions have been shaped by cultures of manhood—and on the micro level—how people perceive and experience the disease. Although scarce, preliminary research shows that such cultural norms also play a crucial role in the management of COVID-19. For instance, specifically in relation to protective behaviors against COVID-19, recent research has shown that stronger conformity to masculinity norms is associated with less positive attitudes toward protective equipment such as face masks (Mahalik et al., 2021; Palmer & Peterson, 2020).
Men, Masculinity, and Health
In the literature on the relationship between sociodemographic characteristics and health, the gender differences show some of the most consistent associations with health outcomes (e.g., Mahalik et al., 2007). Overall, men do not live as long as women (Barford et al., 2006; Baum et al., 2021) and have higher mortality and morbidity rates across most diseases (Bilsker et al., 2010; Ng et al., 2014; White et al., 2011). Despite the fact that a variety of factors influence health and longevity (for example, biological vulnerabilities, access to health care, and so on), numerous health experts argue that a better understanding of men’s health requires a focus on social-psychological variables and modifiable health practices (APA, 2018).
Research has demonstrated the detrimental effects of gender inequality on women and their health, as well as the link between the gendered nature of men’s identities and their illness (Courtenay, 2000). The way society views the male body—more powerful and efficient and less vulnerable to disease than the female body—is strongly impacted by social expectations of masculinity. Masculinity refers to the social roles, behaviors, and meanings prescribed to men in a society at any given time, and it is produced both within societal institutions and through daily interactions (Connel, 1995; Kimmel, 2000). According to the theory of precarious manhood, masculinity necessitates constant public confirmation, because it is hard to achieve it and, equally, easy to lose it (Vandello & Bosson, 2013). Specifically, health-related beliefs and behaviors constitute a crucial means of proving masculinity, with low interest in one’s health representing a key marker of masculinity (Courtenay, 2003). Furthermore, since risk-taking behaviors are essential for validating masculinity, compared to women, men tend to take fewer precautions and are more likely to underestimate the health risks of their actions (Courtenay, 2000; Levant et al., 2009).
Consistent with this difference, medical and psychological research has shown that men are more likely than women to be overweight due to having less healthy eating habits (Gallus et al., 2015; Imamura et al., 2015), as well as to engage in coronary-prone behavior (Watkins et al., 1991). Furthermore, compared to women, men tend to consume more tobacco, alcohol, and drugs and report more problems consequent to this consumption, such as driving under the influence of alcohol or drugs (Geisner et al., 2004; Sher & Rutledge, 2007). Indeed, the proportion of men compared to women losing their lives in road accidents in Europe was 76% versus 24% in 2017 (European Commission, 2018). Research has also demonstrated the reluctance of men to consult doctors (Chapple & Ziebland, 2002), generalized low levels of health-seeking behavior (O’Brien et al., 2005), a lack of health knowledge (Ganong & Markowitz, 1987), and hesitancy to engage in health-promotion activities (Addis & Mahalik, 2003; Byrnes et al., 1999; Courtenay, 2003; Mahalik et al., 2006, 2007).
The reluctance men show in terms of the adoption of protective and preventive behaviors is particularly relevant in the context of the COVID-19 pandemic. The effective management of the pandemic required a strong and continuous effort by citizens, who, in the first months of the outbreak, had to accept stay-at-home directives, curfews, social distancing, obligatory face masks, and systematic hand hygiene. After nearly one year of the pandemic, at the end of 2020, a growing number of COVID-19 vaccines were made available, and the citizens were asked to accept being vaccinated against COVID-19. Voluntary acceptance of these requests, which were essential to protect both individual and collective health, was needed, as it would have been difficult for governments to make the actions mandatory (Cardenas et al., 2021). Unsurprisingly, a minority of citizens did not comply with such requests, and the NoVax movement even spread across countries (Barello et al., 2021; Salali & Uysal, 2020). According to the growing literature on this topic, the voluntary adoption of protective behaviors is hindered by social disadvantage, low perceived vulnerability to COVID-19, low trust in institutions and even in the scientists, systematic exposure to the social media, where fake news about COVID-19 was often spread, and populist orientations (Allington et al., 2021; Cesarotti et al., 2021; Roccato & Russo, 2021; Salali & Uysal, 2020).
The Present Research
In the current study, we were interested in adopting a gendered perspective to examine the perceived vulnerability to COVID-19 and the adoption of protective behaviors against COVID-19. We conducted two studies. In Study 1, we examined the differences between men and women in terms of their perceived vulnerability to COVID-19. In Study 2, we tested a moderated mediation model with male gender as the exogenous variable, the adoption of protective behaviors against the virus as the outcome, perceived vulnerability to COVID-19 as the mediator, and adherence to traditional masculinity ideology as a moderator of the association between male gender and perceived vulnerability.
Study 1
Goals and Hypotheses
In this study, we analyzed the differences between men and women in terms of their perceived vulnerability to COVID-19, conceptualized as the perceived likelihood of COVID-19 infection and the perceived severity of COVID-19 consequences. We hypothesized that men would perceive lower infection likelihood (H1) and lower consequence severity (H2) than women.
Participants and Procedure
We tested our hypotheses via a secondary analysis of data collected within the Consequences of COVID-19 (COCO) project (Cavazza et al., 2021). The COCO dataset includes data from a large quota sample of the Italian adult population, surveyed via email and stratified by sex, age, and geographic area of residence, which has been surveyed regularly since spring 2019. Although the data were collected to study the political opinions and behaviors of Italians, they include valuable information to answer our research questions. Specifically, we used data collected in October 2020, the beginning of the second wave of the pandemic. A total of 1,142 individuals (50.7% women, Mage = 50.44, SD = 14.38) had valid responses to all of the variables we measured.
Measures
Gender and Controls
Gender was coded as 1 (man) and 0 (woman). In the analyses, we controlled for age, years of education, having previously contracted COVID-19 (1 = yes, 0 = no), and perceived economic situation. We assessed the latter variable via a four-category item asking respondents whether their current income allowed them to live comfortably (4) or whether they found this very difficult (1) (cf. Roccato et al., 2021).
Perceived Likelihood of COVID-19 Infection
The variable was measured on a scale from 1 ‘very unlikely’ to 4 ‘very likely’, using the following question: ‘How likely is it that you will contract COVID-19 in the next weeks?’.
Perceived Severity of Health Consequences of COVID-19
The variable was measured on a scale from 1 (‘not at all worried’) to 4 (‘extremely worried’), using the following question: ‘How worried are you for about the health consequences of COVID-19 for yourself?’.
Results
Table 1 shows the descriptive statistics for the variables we used and their bivariate correlations. Controlling for age, education, having previously contracted COVID-19, and perceived economic situation, we tested our hypotheses using two ordinary least squares (OLS) regression models designed to predict the perceived likelihood of COVID-19 infection and the perception of the severity of COVID-19 health consequences based on the respondents’ gender. In addition to a significant effect of age, indicating that older individuals perceived a lower likelihood of contracting COVID-19 but a greater severity of health consequences, the analyses showed a significant gender difference in perceptions of the severity of COVID-19 health consequences. Consistent with H2, compared to women, men reported lower levels of concern regarding the health consequences of the virus. However, contrary to H1, the association between gender and the perceived likelihood of COVID-19 infection was not significant (see Table 2).
Discussion
In this study, based on the literature on masculinity and health behaviors (Bridges et al., 2021; Courtenay, 2000), we examined the association between gender and both the perceived likelihood of COVID-19 infection and the severity of the health consequences of COVID-19. Consistent with epidemiological data showing that men and women have the same likelihood of contracting COVID-19 (Chen et al., 2020; Zhao et al., 2020), we found no differences in the perceived likelihood of developing COVID-19 between men and women. However, men perceived the severity of the consequences of infection to be lower compared to women. Indeed, admitting to being at risk of developing severe health consequences might threaten the perceived invulnerability of the male body more than admitting to only being at risk of contracting COVID-19. This is a particularly interesting finding because research has consistently shown that men are actually at a higher risk than women of suffering serious health consequences from COVID-19 infection (Newman, 2021; Peckham et al., 2020; Ueyama et al., 2020).
This study raises two new questions in this field. Indeed, research has shown that traditional masculinity ideology, defined as an individual’s internalization of cultural belief systems and attitudes toward masculinity (Levant, 1996), shapes expectations and beliefs about how men should think, feel, and behave in relation to aspects such as health issues. For example, men who adhere to traditional masculinity ideology consume more tobacco, alcohol, and illegal drugs (Courtenay et al., 2002; Pleck et al., 1994) and are also more likely to engage in risky sexual behavior, such as not using condoms (Courtenay, 1998). Therefore, the first question raised by the current findings pertains to whether the gender variability in the perceived risk of developing severe health consequences depends on the adherence to traditional masculinity ideology. Secondly, it would be beneficial to determine whether this perceived risk relates to the individual’s tendency to protect themselves (and, indirectly, their social network) from COVID-19. We address these open questions in Study 2.
Study 2
Goals and Hypotheses
Beyond replicating the results of Study 1 results with a new sample to check their robustness, in this study, we aimed to test a moderated mediation model linking gender, perceived vulnerability to COVID-19, adherence to traditional masculinity ideology, and the adoption of three protective behaviors against COVID-19. As in Study 1, we hypothesized that being a man would have a negative association with perceived health consequences of COVID-19 (H1). Additionally, based on the literature mentioned in the introduction section, we hypothesized that adherence to traditional masculinity ideology would moderate the relationship, expecting a significant relationship only among participants who adhere to such ideology (H2). Finally, we expected the perceived health consequences of COVID-19 to show a positive association with intention to get vaccinated against COVID-19 (H3a), social distancing (H3b), and hand hygiene (H3c).
Participants and Procedure
Between April 2021 and May 2021, we performed an online survey with a community sample (N = 305, 64.9% women, Mage = 25.54, SD = 9.78) using snowball sampling. Specifically, the third author asked individuals in his social network to complete an online questionnaire and to forward the link to other people belonging to their social network and ask them to complete the questionnaire. The data were collected anonymously using Limesurvey.
Measures
Gender, Perceived Severity of Health Consequences of COVID-19, and Controls
Gender was coded as 1 (man) and 0 (woman). Perceived vulnerability and control variables were assessed using the same measures as in Study 1.
Traditional Masculinity Ideology
To assess traditional masculinity ideology, we used the Male Role Norms Inventory–Short Form (MRNI-SF) by Levant and colleagues (2013), which consists of 21 items and scored on a scale ranging from 1 (‘strongly disagree’) to 7 (‘strongly agree’), Cronbach’s α = 0.92.
Intention to Get Vaccinated against COVID-19
We asked our participants if they had been vaccinated against COVID-19. The possible responses were ‘Yes (even just the first dose)’, ‘No, but I will do it as soon as possible’, and ‘No, and I have no intention to do so’. We created a measure of intention to vaccinate against COVID-19 by contrasting those who were either vaccinated or intended to be vaccinated (1) with those who had no intention to be vaccinated (0).
Social Distancing
We asked our participants how often they (a) distanced themselves from people outside the household (both strangers and friends and relatives), and (b) did not pay attention to social distancing on a scale from 1 (‘never’) to 7 (‘always’). Based on a correlation of r = .65, p < .001, between the two items, after recoding the second item we calculated a mean index of social distancing.
Hand Hygiene
On a scale from 1 (‘never’) to 7 (‘always’), participants were asked to indicate how often they engaged in six hand hygiene behaviors. Examples of the items include ‘Wash your hands with soap when you go home’ and ‘Carry a bottle of sanitizing gel’. We computed a mean index of hand hygiene, with Cronbach’s α = 0.83.
Results
Table 3 shows the descriptive statistics for the variables we used and their bivariate correlations. Consistent with H1, the preliminary analysis confirmed the negative association between being a man and perceived severity of the health consequences of COVID-19 identified in Study 1. Furthermore, consistent with Study 1, being a man was not associated with perceived probability of COVID-19 infection (see Table 4). In three moderated-mediated OLS regression models (performed using Process, Model 7), one for each behavioral outcome considered, we examined the associations between gender and the behavioral outcomes through the mediating variable of perceived severity of health consequences due to COVID-19. We also tested the moderating effect of traditional masculinity ideology (mean-centered) on the association between gender and perceived severity of COVID-19. The left-hand side of the model, which includes the moderated association between gender and perceived severity, is the same in all three models. In all the models, we controlled for age, years of education, having previously contracted COVID-19, and perceived economic situation.
Table 5 shows the results of these analyses. The direct relationship between gender and perceived severity of health consequences became non-significant when adherence to traditional masculinity ideology was included in the model, which demonstrates a significant relationship with it. In addition to the effect of age, which indicated that older people are more concerned about health outcomes than younger people, we found a significant interactive effect between gender and traditional masculinity ideology. A simple slope analysis revealed that, consistent with H2, men who endorsed traditional masculinity perceived the severity of health consequences to be lower than women (+ 1 SD, coeff. = − 0.45, SE = 0.14, p = .002, 95% CI − 0.73, −0.17), but this did not apply to men who rejected traditional masculinity (− 1 SD, coeff. = 0.07, SE = 0.14, p = .61, 95% CI − 0.21, 0.36). Figure 1 graphically depicts this interaction.
Consistent with H3a, H3b, and H3c, the perception of the severity of COVID-19 health consequences was positively and significantly associated with all the behavioral outcomes (although the significance of the association with vaccination intention was right at the conventional p < .05 threshold). The conditional indirect effects analysis indicated that being a man had significant negative indirect associations with social distancing- and hand hygiene-related behaviors via the mediating variable of perceived severity of COVID-19 health consequences. These indirect effects were significant for those with high levels of endorsement of traditional masculinity only (social distancing: coeff. = −0.19, 95% CI − 0.35, −0.05; hand hygiene: coeff: −0.11, 95% CIs − 0.22, −0.02). The indirect effect of gender on vaccination intention did not reach statistical significance (coeff: −0.30, 95% CIs − 0.98, 0.11).Footnote 1
Discussion
Study 2 confirmed and complemented the findings of Study 1, showing that it is not being a man per se, but rather the combination of being a man and endorsing a traditional view of masculinity that is negatively related to severity perceptions and prevention behaviors in relation to COVID-19. We found that conforming to traditional masculinity not only affects men’s beliefs—in terms of lower perceived severity of the health consequences of COVID-19—but also reduces men’s protective behaviors against COVID-19.
General Discussion
Research on gender differences has shown that health beliefs and behaviors are influenced by the endorsement of traditional notions of femininity and masculinity (Courtenay, 2000). Men, particularly those who conform to traditional masculine norms, are particularly at risk as they view concern for their health as a sign of weakness (Levant et al., 2009). From this sociocultural perspective, concern for one’s own health may be incompatible with the prescriptions of masculine toughness, pose an intolerable threat to a man’s virility, and, thus, make concern about illness a dangerous signal of weak masculinity. Advancing this area of inquiry in the specific context of the COVID-19 pandemic, our research consistently showed that men (Study 1) and those who endorse traditional masculinity ideology (Study 2) perceive themselves as less vulnerable to the negative health consequences of COVID-19. More importantly, we found that endorsing traditional masculinity is negatively associated with not only the perceived severity of COVID-19 consequences but also with the likelihood of taking crucial protective measures, such as in terms of hand hygiene, social distancing, and vaccination.
It is important to acknowledge some limitations of the studies. First, our measures for perceptions of the likelihood of COVID-19 infection and the severity of health consequences were single items. Nevertheless, the methodological literature shows that single items tend to perform similarly when a construct is easily imagined (Rossiter, 2002) and are even better than full scales for surveying general population samples, as they minimize inaccurate responses and response sets (Bergkvist & Rossiter, 2007). Second, we focused on certain protective behaviors (i.e., intention to vaccinate, social distancing, and hand hygiene) but lacked measures of other behavioral outcomes, such as the use of masks or avoidance of crowded places. Moreover, we used cross-sectional data, which are suboptimal for testing mediation models. However, the reverse causation order is highly unlikely in this model. Finally, the sample we used in Study 2 was not representative of the general population, since it was recruited using a snowball sampling procedure. However, this is not a serious issue, as we were interested in the relationships between variables and not in their univariate distribution. Additionally, the results from the preliminary analyses we performed in Study 2 were in line with those from Study 1, which was conducted using a quota sample of the general population.
Similar to other Western nations, Italian society is undergoing a transformation of traditional gender roles and masculinity due to the feminist movement, as well as societal transformations in terms of two-career families, gay and lesbian families, etc. (Ciccone, 2019; Tager & Good, 2005). Cross-cultural research on the acceptance of traditional masculinity has consistently demonstrated that Italians hold comparable levels of acceptance with individuals from other Western nations, such as the United States (Bosson et al. 2021; Tager & Good, 2005). However, future research could investigate cultural differences in how traditional views of masculinity affect COVID-19-related health management strategies. As Kimmel and colleagues highlighted (2005), men and masculinity are shaped by factors such as age, class, ethnicity, and racialization, among others, and only at the intersections of other social divisions and social differences does the gendering of men exist. Therefore, future replications of our research could examine how belonging to an ethnic or sexual minority may moderate the relationships we have examined (Jaspal, 2021).
Despite these limitations, our study also has certain strengths. Masculinity is a set of socially prescribed ideas relating to the meaning of being a man in a particular time and culture (Connel, 1995; Kimmel, 2000). In order to conform to societal expectations of masculinity, men frequently engage in behaviors that endanger their physical and mental health. By advancing the study of health and masculinity in the specific context of the COVID-19 pandemic, our research confirms that the male need to appear physically, mentally, and emotionally strong also has an impact on COVID-19 management. In addition, our study is one of the first to demonstrate how a social-psychological factor, specifically adherence to traditional masculinity ideology, can jeopardize efforts to combat COVID-19. Indeed, men’s poor health affects not only the quality of life of men but also that of women since, in heterosexual couples, the women usually take care of the unwell man. In addition to female partners, children are also affected by their parents’ illness, and, further to this, society as a whole bears the social and economic costs of men’s health problems. During a pandemic such as COVID-19, men’s health becomes even more important, and “men’s health matters for everyone” (Ragonese et al., 2019, p. 11). In order to contain the spread of the virus and limit the number of deaths, adherence to health and safety protocols is essential. In this context, our study is particularly relevant because it shows that cultural norms leading to traditional gender beliefs can be dangerous not only at an individual level but also at a collective level.
Data Availability (data transparency)
Electronic copies of the anonymized raw data, related coding information, and all materials used to collect data will be made available upon request.
Notes
Twenty-one parallel models, performed using the MRNI-SF single items instead of the whole scale, led to substantially analogous results, which are available from the corresponding author.
References
Abate, S. M., Ali, A., Mantfardo, S., B., & Basu, B. (2020). Rate of intensive care unit admission and outcomes among patients with coronavirus: A systematic review and meta-analysis. PloS One, 15, e0235653. doi: https://doi.org/10.1371/journal.pone.0235653
Addis, M. E., & Mahalik, J. R. (2003). Men, masculinity, and the contexts of help seeking. American Psychologist, 58, doi: https://doi.org/10.1037/0003-066X.58.1.5. 5
Ahrenfeldt, L. J., Otavova, M., Christensen, K., & Lindahl-Jacobsen, R. (2021). Sex and age differences in COVID-19 mortality in Europe. Wiener Klinische Wochenschrift, 133, 393–398. doi: https://doi.org/10.1007/s00508-020-01793-9
Al-Bari, M., Hossain, S., & Zahan, M. (2021). Exploration of sex-specific and age-dependent COVID-19 fatality rate in Bangladesh population. World Journal of Radiology, 13, 1–18. doi: https://doi.org/10.4329/wjr.v13.i1.1
American Psychological Association (2018). APA guidelines for psychological practice with boys and men. https://www.apa.org/about/policy/boys-men-practice-guidelines.pdf
Barford, A., Dorling, D., Smith, G. D., & Shaw, M. (2006). Life expectancy: Women now on top everywhere. British Medical Journal, 322, 808. doi: https://doi.org/10.1136/bmj.332.7545.808
Bartz, D., Chitnis, T., Kaiser, U. B., Rich-Edwards, J. W., Rexrode, K. M., Pennell, P. B. … Manson, J. E. (2020). Clinical advances in sex- and gender- informed medicine to improve the health of all: A review. JAMA Internal Medicine, 180. doi: https://doi.org/10.1001/jamainternmed.2019.7194
Baum, F., Musolino, C., Gesesew, H. A., & Popay, J. (2021). New perspective on why women live longer than men: An exploration of power, gender, social determinants, and capitals. International Journal of Environmental Research and Public Health, 18, 661–684. doi: https://doi.org/10.3390/ijerph18020661
Bergkvist, L. I., & Rossiter, J. (2007). The predictive validity of multiple-item versus single-item measures of the same constructs. Journal of Marketing Research, 44, 175–184. doi: https://doi.org/10.1509/jmkr.44.2.175
Bilsker, D., Goldenberg, L., & Davison, J. (2010). A roadmap to men’s health: Current status, research, policy & practice. Vancouver: Men’s Health Initiative of British Columbia
Bridges, T., Barber, K., Nelson, J. D., & Chatillon, A. (2021). Masculinity and COVID-19: Symposium introduction. Men and Masculinities, 24, 163–167. doi: https://doi.org/10.1177/1097184X211004325
Byrnes, J. P., Miller, D. C., & Schafer, W. D. (1999). Gender differences in risk taking: A meta-analysis. Psychological Bulletin, 125, 367. doi: https://doi.org/10.1037/0033-2909.125.3.367
Cavazza, N., Colloca, P., Roccato, M., & Russo, S. (2021). Political consequences of COVID-19. https://www.dippsicologia.unito.it/do/progetti.pl/Show?_id=9fxo
Chapple, A., & Ziebland, S. (2002). Prostate cancer: Embodied experience and perceptions of masculinity. Sociology of Health & Illness, 24, 820–841. doi: https://doi.org/10.1111/1467-9566.00320
Chen, H., Guo, J., Wang, C., Luo, F., Yu, X., Zhang, W. … Zhang, Y. (2020). Clinical characteristics and intrauterine vertical transmission potential of COVID-19 infection in nine pregnant women: A retrospective review of medical records. Lancet, 395, 809–815. doi: https://doi.org/10.1016/S0140-6736(20)30606-1
Connel, R. W. (1995). Masculinities. Cambridge, UK: Polity Press
Conti, S., Farchi, G., Masocco, M., Minelli, G., Toccaceli, V., & Vichi, M. (2003). Gender differentials in life expectancy in Italy. European Journal of Epidemiology, 18(2), 107–112
Courtenay, W. H. (1998). Better to die than cry? A longitudinal and constructionist study of masculinity and the health risk behavior of young American men. (Doctoral dissertation, University of California at Berkeley). Dissertation Abstracts International, 59 (08A), Publication No. 9902042
Courtenay, W. H. (2000). Constructions of masculinity and their influence on men’s well-being: a theory of gender and health. Social Science & Medicine, 50, 1385–1401. doi: https://doi.org/10.1016/s0277-9536(99)00390-1
Courtenay, W. H. (2003). Key determinants of the health and well-being of men and boys. International Journal of Men’s Health, 2, 1–30. doi: https://doi.org/10.3149/jmh.0201.1
Courtenay, W. H., McCreary, D. R., & Merighi, J. R. (2002). Gender and ethnic differences in health beliefs and behaviors. Journal of Health Psychology, 7, 219–231
Gallus, S., Lugo, A., Murisic, B., Bosetti, C., Boffetta, P., & La Vecchia, C. (2015). Overweight and obesity in 16 European countries. European Journal of Nutrition, 54, 679–689. doi: https://doi.org/10.1007/s00394-014-0746-4
Ganong, L. H., & Markovitz, J. (1987). Young men’s knowledge of testicular cancer and behavioral intentions toward testicular self-exam. Patient Education and Counseling, 9, 251–261. doi: https://doi.org/10.1016/0738-3991(87)90003-6
Gebhard, C., Regitz-Zagrosek, V., Neuhauser, H. K., Morgan, R., & Klein, S. L. (2020). Impact of sex and gender on COVID-19 outcomes in Europe. Biology of Sex Differences, 11, 1–13. doi: https://doi.org/10.1186/s13293-020-00304-9
Geisner, I. M., Larimer, M. E., & Neighbors, C. (2004). The relationship among alcohol use, related problems, and symptoms of psychological distress: Gender as a moderator in a college sample. Addictive Behaviors, 29, 843–848. doi: https://doi.org/10.1016/j.addbeh.2004.02.024
Imamura, F., Micha, R., Khatibzadeh, S., Fahimi, S., Shi, P., Powles, J., & Global Burden of Diseases Nutrition and Chronic Diseases Expert Group (NutriCoDE. (2015). Dietary quality among men and women in 187 countries in 1990 and 2010: A systematic assessment. The Lancet Global Health, 3, e132–e142. doi: https://doi.org/10.1016/S2214-109X(14)70381-
Jaspal, R. (2021). Identity threat and coping among British South Asian gay men during the COVID-19 lockdown. Sexuality and Culture, 25, 1428–1446. https://doi.org/10.1007/s12119-021-09817-w
Kimmel, M. (2000). The Gendered Society. New York: Oxford University Press
Levant, R. F., Hall, R. J., & Rankin, T. J. (2013). Male Role Norms Inventory–Short Form (MRNI-SF): Development, confirmatory factor analytic investigation of structure, and measurement invariance across gender. Journal of Counseling Psychology, 60, 228–238. doi: https://doi.org/10.1037/a0031545
Levant, R. F., Wimer, D. J., Williams, C. M., Smalley, K. B., & Noronha, D. (2009). The relationships between masculinity variables, health risk behaviors and attitudes toward seeking psychological help. International Journal of Men’s Health, 8, 3–21. doi: https://doi.org/10.3149/jmh.0801.3
Li, A. J., & Li, X. (2021). Sex-dependent immune response and lethality of COVID-19. Stem Cell Research, 50, 102116. doi: https://doi.org/10.1016/j.scr.2020.102116
Lipsa, A., & Prabhu, J. S. (2021). Gender disparity in COVID-19: Role of sex steroid hormones. Asian Pacific Journal of Tropical Medicine, 14, 5–9. doi: https://doi.org/10.4103/1995-7645.304293
Lubrano, C., Masi, D., Risi, R., Balena, A., Watanabe, M., Mariani, S., & Gnessi, L. (2021). Is growth hormone insufficiency the missing link between obesity, male gender, age, and COVID-19 severity? Obesity: A Research Journal. doi: https://doi.org/10.1002/oby.23000
Mahalik, J. R., Burns, S. M., & Syzdek, M. (2007). Masculinity and perceived normative health behaviors as predictors of men’s health behaviors. Social Science & Medicine, 64, 2201–2209. doi: https://doi.org/10.1016/j.socscimed.2007.02.035
Mahalik, J. R., Bianca, M. D., & Harris, M. P. (2021). Men’s attitudes toward mask-wearing during COVID-19: Understanding the complexities of mask-ulinity. Journal of Health Psychology. doi: https://doi.org/10.1177/1359105321990793
Newman, C. B. (2021). Mortality in COVID-19: Further evidence for a sex-based difference in the OpenSAFELY study. Journal of Women’s Health, 30, 61–63. doi: https://doi.org/10.1089/jwh.2020.8777
Ng, C. J., Teo, C. H., Ho, C. C., Tan, W. P., & Tan, H. M. (2014). The status of men’s health in Asia. Preventive Medicine, 67, 295–302. doi: https://doi.org/10.1016/j.ypmed.2014.08.007
O’Brien, R., Hunt, K., & Hart, G. (2005). ‘It’s caveman stuff, but that is to a certain extent how guys still operate’: Men’s accounts of masculinity and help seeking. Social Science & Medicine, 61, 503–516. doi: https://doi.org/10.1016/j.socscimed.2004.12.008
Palmer, C. L., & Peterson, R. D. (2020). Toxic Mask-ulinity: The link between masculine toughness and affective reactions to mask wearing in the COVID-19 era. Politics & Gender, 16, 1044–1051. doi: https://doi.org/10.1017/S1743923X20000422
Peckham, H., de Gruijter, N. M., Raine, C., Radziszewska, A., Ciurtin, C., Wedderburn, L. R. … Deakin, C. T. (2020). Male sex identified by global COVID-19 meta-analysis as a risk factor for death and ITU admission. Nature Communications, 11, 1–10. doi: https://doi.org/10.1038/s41467-020-19741-6
Pleck, J. H., Sonenstein, F. L., & Ku, L. C. (1994). Problem behaviors and masculinity ideology in adolescent males. In R. D. Ketterlinus, & M. E. Lamb (Eds.), Adolescent problem behaviors: Issues and research (pp. 165–186). Hillsdale, NJ: Lawrence Erlbaum
Ragonese, C., Shand, T., & Barker, G. (2019). Masculine norms and men’s health: Making the connections. Promundo-US
Roccato, M., Russo, S., Colloca, P., & Cavazza, N. (2021). The lasting effects of the COVID-19 pandemic on support for anti-democratic political systems: A 6-month longitudinal study. Social Science Quarterly. doi: https://doi.org/10.1111/ssqu.12958
Rossiter, J. R. (2002). The C-OAR-SE procedure for scale development in marketing. International Journal of Research in Marketing, 19, 305–335. doi: https://doi.org/10.1016/S0167-8116(02)00097-6
Salah, H. M., & Metha, J. L. (2020). Takotsubo cardiomyopathy and COVID-19 infection. European Heart Journal – Cardiovasculary Imaging, 21, 1299–1300. doi: https://doi.org/10.1093/ehjci/jeaa236
Sher, K. J., & Rutledge, P. C. (2007). Heavy drinking across the transition to college: Predicting first-semester heavy drinking from precollege variables. Addictive Behaviors, 32, 819–835. doi: https://doi.org/10.1016/j.addbeh.2006.06.024
Ueyama, H., Kuno, T., Takagi, H., Krishnamoorthy, P., Vengrenyuk, Y., Sharma, S. K. … Lerakis, S. (2020). Gender difference is associated with severity of coronavirus disease 2019 infection: An insight from a meta-analysis. Critical Care Explorations, 2, e0148. doi: https://doi.org/10.1097/CCE.0000000000000148
Watkins, P. L., Eisler, R. M., Carpenter, L., Schechtman, K. B., & Fisher, E. B. (1991). Psychosocial and physiological correlates of male gender role stress among employed adults. Behavioral Medicine, 17, 86–90. doi: https://doi.org/10.1080/08964289.1991.9935163
Vandello, J. A., & Bosson, J. K. (2013). Hard won and easily lost: A review and synthesis of theory and research on precarious manhood. Psychology of Men & Masculinity, 14, 101. doi: https://doi.org/10.1037/a0029826
White, A., De Sousa, B., De Visser, R., Hogston, R., Madsen, S. A., Makara, P., et al. (2011). Men’s health in Europe. Journal of Men’s Health, 8, 192–201. doi: https://doi.org/10.1016/j.jomh.2011.08.113
Yousaf, O., Popat, A., & Hunter, M. S. (2015). An investigation of masculinity attitudes, gender, and attitudes toward psychological help-seeking. Psychology of Men and masculinity, 16, 234–237. doi: https://doi.org/10.1037/a0036241
Zarulli, V., Jones, J. A. B., Oksuzyan, A., Lindahl-Jacobsen, R., Christensen, K., & Vaupel, J. W. (2018). Women live longer than men even during severe famines and epidemics. Proceedings of the National Academy of Sciences, 115, E832-E840. doi: https://doi.org/10.1073/pnas.1701535115
Funding
This work was not supported by any grant.
Open access funding provided by Università degli Studi di Torino within the CRUI-CARE Agreement.
Author information
Authors and Affiliations
Contributions
Michele Roccato: Conceptualization; Data curation; Methodology; Formal analysis; Writing – original draft & editing. Maria Giuseppina Pacilli: Conceptualization; Methodology; Writing – original draft & editing. Giovanni Orlando: Investigation. Silvia Russo: Conceptualization; Data curation; Methodology; Writing – original draft.
Corresponding author
Ethics declarations
Competing Interests
The authors have no relevant financial or non-financial interests to disclose.
Ethical Approval
All procedures performed in these studies were in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants included in the studies. The research protocol was approved by the University of Torino Ethic Committee (Protocol number: 181488).
Consent to Participate
Informed consent was obtained from all individual participants included in the studies.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Roccato, M., Pacilli, M.G., Orlando, G. et al. Masculinity, Perceived Vulnerability to COVID-19, and Adoption of Protective Behaviors. Sexuality & Culture 26, 2171–2186 (2022). https://doi.org/10.1007/s12119-022-09991-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12119-022-09991-5