Gender stereotypes in politics: what changes when a woman becomes the local political leader?

This study documents how the presence of a woman in an executive political role affects the gender stereotype of women in politics. We use Brazilian electoral data and restrict our focus to close mayoral races (using an RDD design) in which the top two candidates are of opposite sexes. Our most important result was a reduction in the number of candidates and votes for female mayoral candidates after a woman is elected, regardless of her eligibility status for reelection. This negative result is linked only to the position of mayor and not to other political positions (councilor, state or federal deputy). In addition, our results may be interpreted as evidence that voters do not use their update on women as local leaders to change their beliefs on women’s ability to run for other political positions. Finally, female mayors do not appear to have a role model effect on younger cohorts of women. We also note that our results are not influenced by differences in mayoral policies (generally and specifically for women), which could influence voters’ gender stereotypes.

The influence of lifestyle and gender on sickness absence in brazilian workers

Background: Despite an increasing body of knowledge concerning gender and lifestyle factors as determinants of sickness absence in well-developed countries, the relationship between these variables has not been elucidated in emerging economic power countries, where the burden of non-communicable diseases is particularly high. This study aimed to analyze the relationships among lifestyle-related factors and sick leave and to examine whether gender differences in sickness absence can be explained by differences in socio-demographic, work and lifestyle-related factors among Brazilian workers. Methods: In this longitudinal study with a one year follow-up among 2.150 employees of a Brazilian airline company, sick leave was the primary outcome of interest. Independent variables collected by interview at enrolment in the study were gender, age, educational level, type of work, stress, and lifestyle-related factors (body mass index, physical activity and smoking). In addition, the risk for coronary heart disease was determined based on measurement of blood pressure, total cholesterol and glucose levels. The total number of days on sick leave during 12 months follow-up was available from the company register. Logistic regression analysis was used to determine the influence of socio-demographic, type of work and lifestyle-related factors on sick leave. Results: Younger employees, those with lower educational level, those who worked as air crew members and those with higher levels of stress were more likely to have sick leave. Body mass index and level of physical activity were not associated with sick leave. After adjustment by socio-demographic variables, increased odds for 10 or more days of sick leave were found in smokers (OR = 1.51, CI = 1.05-2.17), and ex-smokers (OR = 1.45, CI = 1.01-2.10). Women were more likely to have 10 or more days of sick leave. Gender differences were reduced mainly when adjusted for type of work (15%) and educational level (7%). Conclusions: The higher occurrence of sick leave among women than among men was partly explained by type of work and educational level. Our results suggest that type of work, a stressful life, and smoking are important targets for health promotion in this study population