Gender roles and traits in stress and health
- Institut de Psychologie du Travail et des Organisations, Université de Neuchâtel, Neuchâtel, Switzerland
Women have a life-expectancy advantage over men, but a marked disadvantage with regards to morbidity. This is known as the female–male health-survival paradox in disciplines such as medicine, medical sociology, and epidemiology. Individual differences in physical and mental health are further notably explained by the degree of stress individuals endure, with women being more affected by stressors than men. Here, we briefly examine the literature on women’s disadvantage in health and stress. Beyond biological considerations, we follow with socio-cognitive explanations of gender differences in health and stress. We show that gender roles and traits (masculinity in particular) explain part of the gender differences in stress, notably cognitive appraisal and coping. Stress in turn degrades health. Implications are discussed. In conclusion, traditional socialization is advantageous for men in terms of health.
Women endure higher rates of physical and mental diseases than men at all ages and in all regions of the world (Macintyre et al., 1996; Austad, 2006; Seedat et al., 2009). They experience more days of health-related reduced activity and work cessation, higher rates of hospital stays, and have higher health care costs, even when excluding diseases of the reproductive system (Wingard et al., 1989; Green and Pope, 1999; Case and Paxson, 2005). Women’s higher healthcare use further reduces their economic resources (Green and Pope, 1999; Bertakis et al., 2000; McIntyre et al., 2006). It is therefore essential to better understand gender differences in health.
Here we propose socio-cognitive explanations of gender differences in health. As stress impacts health considerably, we also focus on gender differences in stress and their explanations. We will show in particular that social roles and gender traits explain part of the observed gender differences in health and stress. Below, we start by examining the magnitude of gender differences in health.
Magnitude of Gender Differences in Health
Among the 30 most common diagnostic groups in primary care, 90% are more common in women than in men (N = 2 mio, Stockholm; Wändell et al., 2013). The median of odds ratios (ORs) among the 30 groups of diagnoses is 1.43, i.e., the odds of a diagnostic group being applied to women are 143% that of men, or higher, for half of the 30 diagnostic groups. These 15 diagnostic groups represent 56% of individual diagnoses analyzed. Figure 1 presents the ORs and percentage of women and men affected. Note these results are not based on self-reports, but official statistics.
Most primary care diagnostics are related to acute conditions. Similar relationships are observed in chronic conditions: The total number of chronic conditions reported by individuals is at least 40% higher for women than for men (Canadian National Health Survey; see Quesnel-Vallée et al., 2008). Further, such gender differences exist throughout adulthood (US National Health Interview Survey; Verbrugge, 1986). Overall, ORs (women:men) are 1.25 for longstanding illness, 1.17 for limiting longstanding illness, and 1.92 for somatic symptoms (N = 17,300; controlling for age; Lahelma et al., 1999).
Potential Bias in Self-Report Data
Findings based on self-reports might be affected by the ability of individuals to report health information (e.g., over-reporting by women) and the impact of self-selection bias. Over-reporting is not empirically supported for the majority of diseases. Research shows that women and men are equally accurate at reporting health information, especially for chronic conditions (e.g., Cleary and Jette, 1984; Macintyre et al., 1999; Ritter et al., 2001). But a few diseases feature gender differences (in both directions) in the quality of reporting (Oksuzyan et al., 2009). Participation rates are slightly higher among hospitalized women compared to those who are not, whereas hospitalized men do not differ (N = 15,330; Oksuzyan et al., 2009). This excess in participation of sicker women could contribute marginally to gender differences. But in the elderly, participation rates are higher among men (N = 1,045; Jacomb et al., 2002). As health declines with age, gender differences in health might therefore be higher than those reported in overall estimates.
The Impact of the Environment
Individuals’ behavior, their social environment, and genetic factors can cause women’s health disadvantage (Oksuzyan et al., 2010). Yet, the genetic code interacts with the environment to produce changes between and within individuals that are relevant for health (e.g., Feinberg, 2007): the environment as well as environmental variations are known to affect respectively phenotypes (individual’s physical stable characteristics) and gene expression—the moment-by-moment translation of genes into RNA, proteins and hormones, allowing rapid adaptation to changing conditions (Dunn and Plomin, 1990; Jaenisch and Bird, 2003; DeWitt and Scheiner, 2004).
In the social sciences, research on intersectionality and health further discusses the caveats of focusing solely on sex when discussing health differences between women and men (see Hankivsky, 2012): sociodemographic factors also have to be considered. Gender differences in a number of physical and mental diseases, and functional health, disappear when controlling for socio-demographic and contextual factors (N = 1,641; Emslie et al., 1999; N = 3,522; Quesnel-Vallée et al., 2008), but not differences in the number of chronic conditions (Quesnel-Vallée et al., 2008).
Gender, Stress, and Health
The environment explains part of the gender differences in health, and this might be mediated by stress. Indeed, women and men differ in their exposure and reactions to stressors (Lazarus and Folkman, 1984; Kudielka et al., 2007): women experience more chronic stressors than men (McDonough and Walters, 2001; Matud, 2004) and consider stressors as more threatening (Lazarus and Folkman, 1984; Ptacek et al., 1992).
Stress activates the hypothalamic-pituitary-adrenocortical axis and the sympathetic-adrenal-medullary axis, leading to the release of stress hormones (e.g., cortisol and catecholamines) that trigger dysfunctions of the immune system related to various diseases (Frankenhaeuser, 1986; Ader and Cohen, 1993; Segerstrom and Miller, 2004; Glaser and Kiecolt-Glaser, 2005; Lundberg, 2005; Cohen et al., 2007). Here we describe part of this process in a nutshell. On the one hand, cortisol secretion decreases lymphocytes counts (notably natural killer cells), which results in increased vulnerability to diseases and infections (Gatti et al., 1987; Padgett and Glaser, 2003). On the other hand, catecholamines induce an elevation of pro-inflammatory cytokines (Johnson et al., 2005). Abnormally high concentrations of pro-inflammatory cytokines are related to several conditions and risks including cardiovascular risk factors and coronary heart disease, diabetes mellitus, inflammatory and autoimmune diseases, depression and schizophrenia (Lucey et al., 1996; Rabinovitch and Suarez-Pinzon, 1998; Blanco et al., 2008; Miller et al., 2009; Watanabe et al., 2010).
Indeed, psychological stress predicts a variety of somatic diseases and mental illnesses (Steptoe, 1991; Cohen et al., 2007). Stressed individuals are more at risk of developing depression and psychosis (Cohen et al., 2007; Stroud et al., 2008; van Winkel et al., 2008). Somatic complaints related to stress can range from minor or mild symptoms and diseases such as sore throat, headaches and influenza, to life threatening conditions such as heart attacks, cancer, and organ failure (Selye, 1976; DeLongis et al., 1988; Kiecolt-Glaser et al., 1992; Reiche et al., 2004; Cohen et al., 2007). Further, chronic diseases can be triggered by high levels of stress (Kendall-Tackett, 2010). In particular, the onset of autoimmune diseases is preceded by important stress episodes in 80% of cases (Herrmann et al., 2000; Stojanovich and Marisavljevich, 2008). Differentiated exposure to stressors explains part of the gender differences in health (McDonough and Walters, 2001).
Gender Roles, Illness, and Stress
Among the many social explanations for the differences between women and men regarding health, those related to socio-economic status and social roles have received most empirical support (Link and Phelan, 1995). Indeed, some if not most of the non-physiological differences between women and men are socially constructed rather than biologically determined. In the (psycho)sociological literature, the term “sex” refers to the genetic and physiological differences between women and men, whereas the term “gender” refers to the experience of being male or female and the traditionally differentiated social roles they accomplish (e.g., home makers vs. resource providers—hereafter gender roles; Deaux, 1985; Eagly et al., 2000). In their biosocial constructionist theory, Eagly and Wood (2013) describe how social expectations and biological processes (e.g., men not being able to give birth) interact to maintain such roles, but also allow for change. Differentiated social roles are important factors in the higher morbidity observed in women (Oksuzyan et al., 2010), primarily because of the differentiated stressors and stress reaction they induce (Lundberg, 2005). Below we present some of the empirical findings regarding the impact of social roles on health.
Women who work, compared to those who do not, face less physical and mental health problems (Natalson, 1980; Rosenfield, 1980; Kessler and McRae, 1982; Repetti et al., 1989): providing care, particularly to family members (the “caregiver health effect”; Schulz and Beach, 1999) negatively impact both physical and mental health (e.g., Kessler et al., 1985; Schulz et al., 1989). This is related to the higher number of stressors affecting caregivers, compared to non-caregivers (Son et al., 2007). Because women are more often caregivers than men, their risk of exposure to such strain is higher, and this impacts their health (Repetti et al., 1989; Eagly et al., 2000; Son et al., 2007).
As the participation of women in the workforce has increased, stress differences between women and men have decreased (Jick and Mitz, 1985). Women often also occupy clerical positions, whereas men occupy leadership positions more often than women (Eagly et al., 2000). High-status individuals have more control, which leads to less experienced stress, whereas lower-status individuals experience more stress and use less efficient coping strategies (Thoits, 1991; Bakker and Demerouti, 2007).
When working under similar conditions, women and men do not differ in their release of stress hormones, heart rate and experience of stress, whereas they do otherwise (Persson et al., 2009). Further, the excess of occupational stress of women compared to men disappears when age, education, and marital status are accounted for (N = 2,775; Galanakis et al., 2009). With the increased similarity in the gender roles over the years, women’s physiological responses become more similar to those of men (Frankenhaeuser, 1991).
Gender Traits (Masculinity/Femininity), Illness, and Stress
Throughout life, people are taught (explicitly, implicitly, and vicariously) which behaviors are desirable for men or women in society (Bem, 1981). Examples include experiencing that women usually take care of children while men work, the encouragement to participate in gender typical activities, or injunctions (for children: “boys don’t cry,” “girls don’t swear”). At a later age, such expectations often translate in the approval and disapproval of conduct (see Bussey and Bandura, 1999; Martin et al., 2002).
Behavioral expectations are integrated by individuals into their identity (gender traits), and the typicality of gender traits (masculinity and femininity) follows their desirability (Bem, 1981; Prentice and Carranza, 2002). Masculinity refers to the traditional behavioral expectations for men (Bem, 1981). Femininity refers to the traditional behavioral expectations for women. Masculinity, also referred to as instrumentality or agency; and femininity, also referred to as communion and emotionality (e.g., Colley et al., 2009), are usually measured using the Bem Sex Role Inventory (Bem, 1981) and the Personal Attributes Questionnaire (Spence et al., 1974). These are questionnaires where participants rate themselves on items such as dominant, aggressive, assertive and independent for masculinity; and caring, gentle, compassionate and emotional for femininity.
Research on the relationship between gender traits and health has shown that masculinity in particular is related to better physical and mental health (controlling for gender). Masculine individuals have better self-assessed general health, less physical symptoms and better mental health, and consult general practitioners less often (N = 886; Annandale and Hunt, 1990). Masculinity is positively related to physical health and health behaviors (N = 336; Shifren and Bauserman, 1996). Overall, the effect of masculinity on physical health is positive, except for coronary heart disease (explaining in part the higher mortality of men; Helgeson, 1994; Barrett-Connor, 1997). With regard to mental health, masculinity is negatively related to anxiety, tiredness, and depression, but to higher antisocial behavior and substance abuse (Emslie et al., 1999; Lengua and Stormshak, 2000). A meta-analysis of 26 studies (Bassoff and Glass, 1982) shows that masculinity is robustly associated with better mental health. Femininity is also positively related to health promoting behaviors (Shifren and Bauserman, 1996). But the research shows conflicting findings in the relationship between femininity and health. Femininity is related to higher risks of depression in women (Tinsley et al., 1984; Bromberger and Matthews, 1996), and to better and worse physical health outcomes depending on the studies (Shifren and Bauserman, 1996; Hunt et al., 2007).
Stressors can be appraised as a threats or challenges (cognitive appraisal). Threat appraisals occur when resources (e.g., knowledge, skills, money) are considered insufficient to face a stressor. Challenge appraisals occur when individuals perceive they might benefit from the encounter with the stressor and consider their resources sufficient. Cognitive appraisals mediate the relationship between stressors and outcomes such as wellbeing and health (Lazarus and Folkman, 1987). In particular, threat appraisals are negatively related to physical health and positively to psychological symptoms (Folkman et al., 1986b). Threat appraisals are related to physiological responses that promote exhaustion and disease, such as an excess in the liberation of catecholamines and cortisol, whereas challenge appraisals have less damaging outcomes and promote productivity and focus (Frankenhaeuser, 1986; Benschop et al., 1996).
An emerging body of research focuses on the relationships between gender traits and cognitive appraisals (e.g., Sarrasin et al., 2014). Highly assertive women exhibit the physiological responses of a challenge appraisal and perform better than less assertive women, who have patterns of physiological measures consistent with threat appraisal (Tomaka et al., 1999). Surveys feature similar results (Long et al., 1992; Sarrasin et al., 2014). A study with two different samples (for replication purposes; N1 = 322, N2 = 525; Sarrasin et al., 2014) shows that masculinity is robustly and positively related to challenge appraisal in both women and men. Masculinity is also negatively related to threat appraisal in men in both samples, and women in the second sample.
The relationship between femininity and cognitive appraisal is not so robust, in line with its impact on health outcomes. Gender might moderate the impact of femininity on cognitive appraisal. Femininity increases the threat appraisal of several health risks in men, but decreases threat appraisal in women (Kaplan and Marks, 1995). Sarrasin et al. (2014) report that femininity is positively related to challenge appraisal only in women of the second sample.1
Gender traits also predict coping mechanisms. There are two families of ways of coping: problem-focused (such as active coping, planful problem-solving) and emotion-focused (e.g., avoidance, disengagement; Folkman et al., 1986a). Problem-focused coping is related to better health outcomes (Folkman et al., 1986b). Masculine traits are positively related to active coping, and negatively to avoidance coping (Lengua and Stormshak, 2000). The role of femininity is less clear as it has been found to be positively and negatively related to active coping (Lengua and Stormshak, 2000; Gianakos, 2002). Masculinity and femininity are related to seeking social support and positive thinking (Gianakos, 2000, 2002). Masculinity is indirectly linked to distress in the face of stressors (negatively) through challenge appraisal and disengagement coping (Long et al., 1992).
Discussion and Conclusion
Even though men perform less health-related behaviors than women (Deeks et al., 2009), they are less at risk to contract a large majority of health conditions. Our socio-cognitive perspective on gender inequity in health contributes to the current debate (see Doyal, 2000). Gender differences in health and stress have been described. Socialization, particularly through gender roles and gender traits, has been related to the stress process, the experience of stress, and to the health of individuals. We have shown that gender traits have implications with regards to the way stressors are dealt with, and ultimately morbidity. In particular, we have shown that gender traits are related to the appraisals of stressors (as threats or challenges), which play an important role in health.
The literature reviewed here shows that masculinity is beneficial for health. Nevertheless, untempered masculinity comes with its own risks with regards to health and mortality (Helgeson, 1994; Barrett-Connor, 1997; Lozano et al., 2012). Masculinity encourages aggressive conduct and the misperception of its consequences (Eagly and Steffen, 1986). Around the world, 62% of the individuals who died in 2010 at ages 15–49 were men (Global Burden of Disease study; Lozano et al., 2012). Causes of death related to the behavior of self and others (mostly violence from others or from self) represent 38.3% of the deaths in men in this age range, against 23.5% of the deaths in women. Causes of death that involve physical diseases account for 76.6% of women’s deaths, against 61.6% of men’s deaths. Higher rates of behavior- and aggression-related causes of death in men are part of the explanation for the difference in mortality between women and men.
The socialization of women and men remains quite differentiated. Women are still expected to be more nurturing and emotional (feminine) than men, who are expected to be dominant and instrumental in their conduct (masculine; Prentice and Carranza, 2002). Yet, it is notable that changing gender roles, such as the increased participation of women in the professional arena, have already decreased the higher morbidity of women and their higher rate of stress manifestations compared to men (Kessler and McRae, 1982; Jick and Mitz, 1985; Repetti et al., 1989; Matud, 2004). Yet, the conditions required for masculinity to be beneficial still need to be more fully identified: recent research also shows that when women are “too masculine” in society (with regards to social expectations), the overall health of men and women diminishes (Backhans et al., 2007), meaning that the health benefits of equality might only be truly reached after social expectations are changed. Egalitarian legislations are not enough.
Taken together, the literature reviewed here supports the proposition that traditional socialization is advantageous for men not only in terms of power, including economic resources (see Eagly et al., 2000), but also in terms of health, including exposure and reactions to stressors (Emslie et al., 1999; Matud, 2004; Sarrasin et al., 2014). The reasons for the maintenance of gender-based status asymmetries and their consequences are discussed in the edited volume “Gender and social hierarchies” (Faniko et al., in press), among other sources.
Conflict of Interest Statement
The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
- ^ Differences between the two samples exemplify the need for replication studies and meta-analyses (see Cumming, 2008). In the social sciences, and psychology in particular, the rate of results reproducibility might be 50%, whereas some fields of the medical sciences feature reproducibility rates between 11 and 25% (see Open Science Collaboration, 2012).
Annandale, E., and Hunt, K. (1990). Masculinity, femininity and sex: an exploration of their relative contribution to explaining gender differences in health. Sociol. Health Illn. 12, 24–46. doi: 10.1111/1467-9566.ep10844865
Backhans, M. C., Lundberg, M., and Månsdotter, A. (2007). Does increased gender equality lead to a convergence of health outcomes for men and women? A study of Swedish municipalities. Soc. Sci. Med. 64, 1892–1903. doi: 10.1016/j.socscimed.2007.01.016
Benschop, R. J., Rodriguez-Feuerhan, M., and Schedlowski, M. (1996). Catecholamine-induced leukocytosis: early observations, current research and future directions. Brain Behav. Immun. 10, 77–91. doi: 10.1006/brbi.1996.0009
Bertakis, K., Azari, R., Helms, J. L., Callahan, E. J., and Robbins, J. A. (2000). Gender differences in the utilization of health care services. J. Fam. Pract. 49, 147–152. doi: 10.1186/1471-2458-6-155
Blanco, P., Palucka, A. K., Pascual, V., and Banchereau, J. (2008). Dendritic cells and cytokines in human inflammatory and autoimmune diseases. Cytokine Growth Factor Rev. 19, 41–52. doi: 10.1016/j.cytogfr.2007.10.004
Bromberger, J. T., and Matthews, K. A. (1996). A “feminine” model of vulnerability to depressive symptoms: a longitudinal investigation of middle-aged women. J. Pers. Soc. Psychol. 70, 591–598. doi: 10.1037//0022-35184.108.40.2061
Colley, A., Mulhern, G., Maltby, J., and Wood, A. M. (2009). The short form BSRI: instrumentality, expressiveness and gender associations among a United Kingdom sample. Pers. Indivd. Dif. 46, 384–387. doi: 10.1016/j.paid.2008.11.005
Cumming, G. (2008). Replication and p intervals: p values predict the future only vaguely, but confidence intervals do much better. Perspect. Psychol. Sci. 3, 286–300. doi: 10.1111/j.1745-6924.2008.00079.x
DeLongis, A., Folkman, S., and Lazarus, R. S. (1988). The impact of daily stress on health and mood: psychological and social resources as mediators. J. Pers. Soc. Psychol. 54, 486–495. doi: 10.1037/0022-35220.127.116.116
DeWitt, T. J., and Scheiner, S. M. (2004). “Phenotypic ariation from single genotypes,” in Phenotypic Plasticity: Functional and Conceptual Approaches, eds T. DeWitt and S. Scheiner (Oxford: Oxford University Press), 1–9.
Eagly, A. H., Wood, W., and Diekman, A. B. (2000). “Social role theory of sex differences and similarities: a current appraisal,” in The Developmental Social Psychology of Gender, eds T. Eckes and H. M. Trautner (Mahwah, NJ: Lawrence Erlbaum Associates Publishers), 123–174.
Emslie, C., Hunt, K., and Macintyre, S. (1999). Gender differences in minor morbidity among full time employees of a British university. J. Epidemiol. Community Health 53, 465–475. doi: 10.1136/jech.53.8.465
Folkman, S., Lazarus, R. S., Dunkel-Schetter, C., DeLongis, A., and Gruen, R. J. (1986a). Dynamics of a stressful encounter: cognitive appraisal, coping, and encounter outcomes. J. Pers. Soc. Psychol. 50, 992. doi: 10.1037//0022-3518.104.22.1682
Frankenhaeuser, M. (1986). “A psychobiological framework for research on human stress and coping,” in Dynamics of Stress, eds M. H. Appley and R. Trumbull (New York, NY: Plenum), 101–106. doi: 10.1007/978-1-4684-5122-1_6
Galanakis, M., Stalikas, A., Kallia, H., Karagianni, C., and Karela, C. (2009). Gender differences in experiencing occupational stress: the role of age, education and marital status. Stress Health 25, 397–404. doi: 10.1002/smi.1248
Gatti, G., Cavallo, R., Sartori, M. L., Del Ponte, D., Masera, R., Salvadori, A., et al. (1987). Inhibition by cortisol of human natural killer (NK) cell activity. J. Steroid Biochem. 26, 49–58. doi: 10.1016/0022-4731(87)90030-6
Hunt, K., Lewars, H., Emslie, C., and Batty, G. D. (2007). Decreased risk of death from coronary heart disease amongst men with higher ‘femininity’ scores: a general population cohort study. Int. J. Epidemiol. 36, 612–620. doi: 10.1093/ije/dym022
Jacomb, P. A., Jorm, A. F., Korten, A. E., Christensen, H., and Henderson, A. S. (2002). Predictors of refusal to participate: a longitudinal health survey of the elderly in Australia. BMC Public Health 2:4. doi: 10.1186/1471-2458-2-4
Johnson, J. D., Campisi, J., Sharkey, C. M., Kennedy, S. L., Nickerson, M., Greenwood, B. N., et al. (2005). Catecholamines mediate stress-induced increases in peripheral and central inflammatory cytokines. Neuroscience 135, 1295–1307. doi: 10.1016/j.neuroscience.2005.06.090
Kendall-Tackett, K. A. (ed.). (2010). The Psychoneuroimmunology of Chronic Disease: Exploring the Links Between Inflammation, Stress, and Illness. Washington, DC: American Psychological Association. doi: 10.1037/12065-000
Kessler, R. C., McLeod, J. D., and Wethington, E. (1985). “The costs of caring: a perspective on the relationship between sex and psychological distress,” in Social Support: Theory, Research and Applications, eds I. G. Sarason and B. R. Sarason (Hague: Springer), 491–506. doi: 10.1007/978-94-009-5115-0_25
Kiecolt-Glaser, J. K., McGuire, L., Robles, T. F., and Glaser, R. (1992). Emotions, morbidity and mortality: new perspectives from psychoneuroimmunology. Annu. Rev. Psychol. 53, 83–107. doi: 10.1146/annurev.psych.53.100901.135217
Kudielka, B. M., Hellhammer, D. H., and Kirschbaum, C. (2007). “Sex differences in human stress response,” in Encyclopedia of Stress, eds G. Fink, G. Chrousos, I. Craig, E. R. de Kloet, G. Feuerstein, B. S. McEwen, N. R. Rose, R. T. Rubin, and A. Steptoe (Oxford: Academic Press), 469–473. doi: 10.1016/b978-012373947-6.00343-3
Lahelma, E., Martikainen, P., Rahkonen, O., and Silventoinen, K. (1999). Gender differences in illhealth in Finland: patterns, magnitude and change. Soc. Sci. Med. 48, 7–19. doi: 10.1016/s0277-9536(98)00285-8
Lengua, L. J., and Stormshak, E. A. (2000). Gender, gender roles, and personality: gender differences in the prediction of coping and psychological symptoms. Sex Roles 43, 787–820. doi: 10.1023/A:1011096604861
Lozano, R., Naghavi, M., Foreman, K., Lim, S., Shibuya, K., Aboyans, V., et al. (2012). Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 380, 2095–2128. doi: 10.1016/s0140-6736(14)61682-2
Lucey, D. R., Clerici, M., and Shearer, G. M. (1996). Type 1 and type 2 cytokine dysregulation in human infectious, neoplastic, and inflammatory diseases. Clin. Microbiol. Rev. 9, 532–562. doi: 10.1159/000424555
Macintyre, S., Ford, G., and Hunt, K. (1999). Do women over-report morbidity? Men’s and women’s responses to structured prompting on a standard question on long standing illness. Soc. Sci. Med. 48, 89–98. doi: 10.1016/s0277-9536(98)00292-5
McIntyre, D., Thiede, M., Dahlgren, G., and Whitehead, M. (2006). What are the economic consequences for households of illness and of paying for health care in low-and middle-income country contexts? Soc Sci Med. 62, 858–865. doi: 10.1016/j.socscimed.2005.07.001
Miller, A. H., Maletic, V., and Raison, C. L. (2009). Inflammation and its discontents: the role of cytokines in the pathophysiology of major depression. Biol. Psychiatry 65, 732–741. doi: 10.1016/j.biopsych.2008.11.029
Oksuzyan, A., Petersen, I., Stovring, H., Bingley, P., Vaupel, J. W., and Christensen, K. (2009). The male–female health–survival paradox: a survey and register study of the impact of sex-specific selection and information bias. Ann. Epidemiol. 19, 504–511. doi: 10.1016/j.annepidem.2009.03.014
Open Science Collaboration. (2012). An open, large-scale, collaborative effort to estimate the reproducibility of psychological science. Perspect. Psychol. Sci. 7, 657–660. doi: 10.1177/1745691612462588
Persson, R., Hansen, A.-M., Ohlsson, K., Balogh, I., Nordander, C., and Orbaek, P. (2009). Physiological and psychological reactions to work in men and women with identical job tasks. Eur. J. Appl. Psychol. 105, 595–606. doi: 10.1007/s00421-008-0939-8
Prentice, D. A., and Carranza, E. (2002). What women and men should be, shouldn’t be, are allowed to be, and don’t have to be: the contents of prescriptive gender stereotypes. Psychol. Women Q. 26, 269–281. doi: 10.1111/1471-6402.t01-1-00066
Quesnel-Vallée, A., Luchenski, S., and Lynch, J. (2008). Differences between women’s and men’s socioeconomic inequalities in health: longitudinal analysis of the Canadian population 1994–2003. J. Epidemiol. Community Health 62, 1036–1044. doi: 10.1136/jech.2007.068908
Rabinovitch, A., and Suarez-Pinzon, W. L. (1998). Cytokines and their roles in pancreatic islet β-cell destruction and insulin-dependent diabetes mellitus. Biochem. Pharmacol. 55, 1139–1149. doi: 10.1016/s0006-2952(97)00492-9
Repetti, R. L., Matthews, K. A., and Waldron, I. (1989). Employment and women’s health. Effect of employment on women’s mental and physical health. Am. Psychol. 44, 1394–1401. doi: 10.1037/0003-066x.44.11.1394
Ritter, P. L., Stewart, A. L., Kaymaz, H., Sobel, D. S., Block, D. A., and Lorig, K. R. (2001). Self-reports of health care utilization compared to provider records. J. Clin. Epidemiol. 54, 136–141. doi: 10.1016/S0895-4356(00)00261-4
Seedat, S., Scott, K. M., Angermeyer, M. C., Berglund, P., Bromet, E. J., Brugha, T. S., et al. (2009). Cross-national associations between gender and mental disorders in the World Health Organization World Mental Health Surveys. Arch. Gen. Psychiatry 66, 785–795. doi: 10.1001/archgenpsychiatry.2009.36
Segerstrom, S. C., and Miller, G. E. (2004). Psychological stress and the human immune system: a meta-analytic study of 30 years of inquiry. Psychol. Bull. 130, 601–630. doi: 10.1037/0033-2909.130.4.601
Stroud, C. B., Davila, J., and Moyer, A. (2008). The relationship between stress and depression in first onsets versus recurrences: a meta-analysis. J. Abnorm. Psychol. 117, 206–213. doi: 10.1037/0021-843x.117.1.206
Tomaka, J., Palacios, R., Schneider, K. T., Colotla, M., Concha, J. B., and Herrald, M. M. (1999). Assertiveness predicts threat and challenge reactions to potential stress among women. J. Pers. Soc. Psychol. 76, 1008–1021. doi: 10.1037/0022-3522.214.171.1248
van Winkel, R., Stefanis, N. C., and Myin-Germeys, I. (2008). Psychosocial stress and psychosis. A review of the neurobiological mechanisms and the evidence for gene-stress interaction. Schizophr. Bull. 64, 1095–1105. doi: 10.1093/schbul/sbn101
Wändell, P., Carlsson, A. C., Wettermark, B., Lord, G., Cars, T., and Ljunggren, G. (2013). Most common diseases diagnosed in primary care in Stockholm, Sweden, in 2011. Fam. Pract. 30, 506–513. doi: 10.1093/fampra/cmt033
Watanabe, Y., Someya, T., and Nawa, H. (2010). Cytokine hypothesis of schizophrenia pathogenesis: evidence from human studies and animal models. Psychiatry Clin. Neurosci. 64, 217–230. doi: 10.1111/j.1440-1819.2010.02094.x
Wingard, D. L., Cohn, B. A., Kaplan, G. A., Cirillo, P. M., and Cohen, R. D. (1989). Sex differentials in morbidity and mortality risks examined by age and cause in the same cohort. Am. J. Epidemiol. 130, 601–610. doi: 10.1080/19485565.1976.9988243
Keywords: inequity in health, stress, cognitive appraisal, gender, masculinity, femininity
Citation: Mayor E (2015) Gender roles and traits in stress and health. Front. Psychol. 6:779. doi: 10.3389/fpsyg.2015.00779
Received: 27 January 2015; Accepted: 25 May 2015;
Published: 09 June 2015.
Edited by:Nicole M. Else-Quest, University of Maryland, Baltimore County, USA
Reviewed by:Sarah Whittle, The University of Melbourne, Australia
Nicholas A. Turiano, West Virginia University, USA
Copyright © 2015 Mayor. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Eric Mayor, Institut de Psychologie du Travail et des Organisations, Université de Neuchâtel, Rue Emile-Argand 11, 2000 Neuchâtel, Switzerland, email@example.com