Editorial

Relocating gender and morbidity: examining men's and women's health in contemporary Western societies. Introduction to Special Issue on Gender and Health

Combining work and family roles can have beneficial consequences on health but could also result in chronic stress and adverse health outcomes at older ages. This study aimed to examine combined employment, parenthood, and partnership histories of men and women during the childbearing period (ages 15-49), and to investigate the links of these work and family roles with physical functioning later in life. We used data from the Survey of Health, Ageing and Retirement in Europe (SHARE) with retrospective information on employment, parenthood, and partnership histories for 18,057 men and 20,072 women (n = 38,129) living in 28 different countries belonging to six European welfare clusters. We applied multichannel sequence analysis (MCSQA) and hierarchical clustering to group work-family trajectories into 12 clusters for men and 15 clusters for women. We assessed the association between work-family life courses and grip strength by estimating multivariable linear regression models. Delayed work and family transitions, unstable employment, and the absence of combinations of work and family roles between age 15 and 49 were associated with weaker grip strength in later life for both men and women. Results differed by gender and were framed by the welfare context in which gendered work and family responsibilities unfold across individual life courses. The findings make an important contribution to the domain of gender and health in later life and stress the need to engage more with issues related to the mechanisms linking work and family trajectories to poor health in later life.

Our study aimed to describe the temporal changes in self-rated health status (SRH) from 1997 to 2012 in adults aged 25 to 84 residing in Switzerland, with a view to identifying groups at risk for declining health.

Secondary analysis of population-based cross-sectional health surveys.

Data were collected from the cross-sectional, population-based, five-year Swiss Health Survey, from 1997, 2002, 2007 and 2012. A total of 63,861 individuals' data were included. Multilevel mixed-effect logistic regression analysis was employed to estimate the probability of very good and good health within the framework of a hierarchical cross-classified age-period-cohort model (HAPC), adjusting for education level, gender, civil status, smoking status and body mass index.

Individuals with higher education were substantially more likely than those with primary education to report good SRH (OR = 2.12; 95% CI = 1.93–2.33 for secondary education and OR = 3.79; 95% CI = 3.39–4.23 for tertiary education). The education effect depended on birth cohort and age: higher proportions of good SRH were reported by secondary (8%–17%) and tertiary (10%–22%) compared with primary educated individuals from the 1940 birth cohort onward; the proportion of secondary/tertiary (compared to primary) educated people reporting good SRH increased with age (by 10/11% at 45–50 years and 25/36% at 80–84 years). Gender health equality was achieved by the 1955 (primary educated) and 1960 (secondary educated) birth cohorts, while these women overtook men in reporting good SRH from the 1975 birth cohort onward. Tertiary educated younger women were significantly less likely to report good SRH than men but parity was achieved at around pension age. Similarly, gender inequality in those with primary and secondary education reduced in the younger ages to not be significant at around age 55, with women overtaking men from age 65.

Younger birth cohorts with lower education levels appear most vulnerable in terms of their SRH. The education effect cumulatively increases when attaining incrementally higher education levels. While women report lower health than men, gender inequality in SRH has declined and even reversed over time and is substantially linked to differences in educational status. Swiss public health strategies should particularly target the younger adults with only primary school education of both genders; for women, to combat health burdens in their early life, and men, to mitigate issues in their later life.

The role of social norms in accounting for the different attitudes of men and women with respect to health is still an open issue. In this research, we investigate the role of social norms associated with specific gender environments in the workplace in accounting for differences in health-reporting behaviours across men and women. Using the 2010 European Working Conditions Survey, we build a database containing 30,124 observations. We first replicate the standard result that women report worse health than men, whatever the health outcome we consider. We then proxy social norms by the gender structure of the workplace environment and study how the latter affects self-reported health for men and women separately. Our findings indicate that individuals in workplaces where women are a majority tend to report worse health than individuals employed in male-dominated work environments, be they men or women. These results are robust to controlling for a large array of working condition indicators, which allows us to rule out that the poorer health status reported by individuals working in female-dominated environments could be due to worse job quality. This evidence suggests that social norms associated with specific gender environments play an important role in explaining differences in health-reporting behaviours across gender, at least in the workplace.

Multiple studies have found that women report being in worse health despite living longer. Gender gaps vary cross-nationally, but relatively little is known about the causes of comparative differences. Existing literature is inconclusive as to whether gender gaps in health are smaller in more gender equal societies. We analyze gender gaps in self-rated health (SRH) and limiting longstanding illness (LLI) with five waves of European Social Survey data for 191,104 respondents from 28 countries. We use means, odds ratios, logistic regressions, and multilevel random slopes logistic regressions. Gender gaps in subjective health vary visibly across Europe. In many countries (especially in Eastern and Southern Europe), women report distinctly worse health, while in others (such as Estonia, Finland, and Great Britain) there are small or no differences. Logistic regressions ran separately for each country revealed that individual-level socioeconomic and demographic variables explain a majority of these gaps in some countries, but contribute little to their understanding in most countries. In yet other countries, men had worse health when these variables were controlled for. Cross-national variation in the gender gaps exists after accounting for individual-level factors. Against expectations, the remaining gaps are not systematically related to societal-level gender inequality in the multilevel analyses. Our findings stress persistent cross-national variability in gender gaps in health and call for further analysis.

This paper contributes to research on women’s health by challenging the ‘common belief’ that pregnant employees are prone to take sick leave. Conversely, it shows how some pregnant employees are so determined to appear ‘well’ that they remain at work when they are ill. The paper coins the phrase ‘pregnant presenteeism’ to describe pregnant employees who resist taking sick leave. The paper first acknowledges previous studies which show how employers associate pregnancy with incompetence and sickness absence. It then examines why (in contrast to employers’ assumptions), some pregnant employees remain at work when they are ill. It does this through a qualitative study of 15 employed mothers in the UK, each of whom was working in a managerial/professional role at the time of her interview. Of these 15 women, three remained at work during pregnancy despite serious health problems. In order to understand the experiences of these ‘pregnant presentees’, the paper draws upon Annandale and Clark’s (1996) concept of a ‘binary opposition’ which articulates the tendency within medicine to polarize women’s and men’s health as if at opposite ends of a scale, with women’s health classified as ‘poor’ and men’s health as ‘good’. The paper argues that the conceptual principles of ‘binary opposition’ spill over into workplace contexts especially in relation to pregnancy. It then proposes that some employed pregnant women deny their own ill health due to fear of being identified with the female, ‘poor health’ end of the binary opposition scale. It articulates such denial as a potentially serious health issue for pregnant workers. The paper develops new and more explicit links between ‘socio-cultural’ feminist studies on the employed maternal body, and health research.

To investigate the hypothesis that gender difference in the socioeconomic gradient of self-reported diabetes might be partially determined by a detection bias: among low SEP men, but not women, a less frequent use of medical care would result in lower diabetes detection and awareness.

We conducted a cross-sectional analysis of 2387 (57.1% women) Brazilian university non-faculty civil servants. We quantified the association between educational attainment (a marker of socioeconomic position) and self-reported diabetes through gender-specific logistic regression models adjusting for age. Health insurance coverage (a marker of potential health care access) and never having had serum cholesterol tested (a marker of actual care access) were analyzed to investigate the role of detection bias.

Compared to participants with college education or higher, the adjusted odds ratio (OR) and 95% confidence interval for diabetes for those with less than high school was 2.5 (1.0–6.5) in men and 5.0 (2.1–11.7) in women. Only among men we observed an increment in this OR after an additional adjustment for markers of care access [men 3.5 (1.3–9.1); women 4.9 (1.9–12.1)].

Our findings suggest that health service access may explain some of the gender difference in the socioeconomic gradient of self-reported diabetes.