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Objective: Race and gender inequities in the incidence of hypertension (HTN) are well documented; however, few empirical investigations looked into these associations, considering the synergies and heterogeneous experiences of intersectional gender and race/skin colour groups. This study investigated the association of intersectional identities defined by gender and race/skin colour with HTN incidence, and verified whether they are affected by educational level in adulthood., Design: We used the Longitudinal Study of Adult Health (ELSA-Brasil) data to estimate the incidence of HTN between visits 1 (2008-2010) and 2 (2012-2014), in 8528 participants without hypertension at visit 1. HTN was defined as systolic blood pressure ≥140 mmHg, or diastolic blood pressure ≥90 mmHg, or use of antihypertensive drugs. Generalized linear models with Poisson distribution and log link function were used to assess the associations., Results: The incidence of HTN was 43.4/1000 person-years, ranging from 30.5/1000 in White women to 59.4/1000 in Black men. After adjusting by age and family history of HTN, the incidence rate ratio (IRR) was higher in Black men (2.25; 95%CI: 1.65-3.08), Brown ( Pardo ) men (1.89; 95%CI: 1.59-2.25), Black women (1.85; 95%CI: 1.50-2.30), Brown ( Parda ) women (1.47; 95%CI: 1.31-1.67) and White men (1.76; 95%CI: 1.49-2.08), compared to White women. These associations were maintained even after considering socioeconomic, behavioural and health mediators in the model. No interaction was found between education level and intersectional identities in the IRRs observed., Conclusion: By using an intersectional approach, we showed the complex relations between race/skin colour and gender inequities in the incidence of HTN, pointing not only that Black men have the highest risk of developing HTN, but also that the risk of HTN is greater in Black women than in White men, when compared to White women.

Background: Smoking cessation is not an easy accomplishment. However, the benefits are several for those who do it, such as cardiovascular risk reduction 1 year after quitting smoking. This study aimed to verify the factors related to smoking cessation in civil servants of The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)., Methods: This study had a longitudinal design using data from a prospective cohort of civil servants (ELSA-Brasil). Our variable of interest was smoking cessation. The relationship between socio-demographic characteristics, job stress, health-related variables, legislation, and smoking cessation was analyzed by Cox proportional hazard models. The analyses were stratified by gender. Second-hand smoke exposure, age, education, excessive alcohol consumption, common mental disorder, and smoking control law were the variables considered in the final model., Results: Information of 2020 women and 2429 men was analyzed. Individuals without second-hand smoke exposure, with up to 49 years of age, with higher education, without excessive alcohol consumption, without common mental disorders, and who initiated smoking in 1989 or after the smoking control law had a higher risk of stopping smoking. The risks magnitudes were higher for women., Conclusions: Our study reinforces the necessity of alcohol consumption regulation, the relevance of Public Health Policies, and the need for more smoking cessation measures focused on men, on people with mental disorders, alcoholism, and older adults. Also, our results did not show significant risks regarding the psychosocial working environment., (© 2022. International Society of Behavioral Medicine.)

Objective: To investigate the mediation effect of socioeconomic position and racial discrimination in the association between race/color and incidence of hypertension in 4-years follow up., Methods: We included 8,370 participants of the Longitudinal Study of Adult Health (ELSA-Brasil). A latent variable was constructed to represent socioeconomic position (SEP). The perception of discrimination was measured through an adaptation of the Lifetime Major Events Scale; and hypertension was defined using standard criteria. We investigated Body Mass Index (BMI) due to its role in proximal risk for hypertension. To investigate the mediating role of SEP and racial discrimination, we used structural equation modeling., Results: SEP had a direct and negative effect on HT incidence (HT incidence increased in worse SEP categories), while the effect of BMI on HT was direct and positive. We did not find significant direct effects of race/color and racial discrimination on HT. As for indirect effects, we observed associations between race/color and HT only through SEP mediation., Conclusion: According to our results, race/color is indirectly related to HT incidence, mediated by SEP. Racial discrimination was not a mediator in the relationship between race/color and HT in the follow-up period.

Few studies have analyzed on-shift naps with regard to shift workers' health. The aim of this study was to examine the association between exposure to night work (intensity and length of exposure to night work) and blood pressure (BP), considering the impact of on-shift naps. A cross-sectional study was carried out at a hospital based on a questionnaire and measurement of BP. The outcomes were systolic blood pressure (SBP), diastolic blood pressure (DBP), and casual hypertension (HTN), i.e., SBP > 140 mmHg, or DBP > 90 mmHg, or reporting a prescription of antihypertensive medication. The sample comprised 449 fixed 12 h night workers who were (unofficially) allowed to nap during the night shift for up to 3 h. Approximately 42% of the sample reported napping. Among non-nappers (but not among nappers), those exposed to more work nights (≥5/fortnight) showed a DBP that was 3.66 mmHg higher than that of the reference group. The likelihood of casual HTN was more than three-fold greater among non-nappers working more nights/fortnight than among those working fewer nights/fortnight. A similar tendency was observed in a subsample of workers who did not take antihypertensive medication. The results were less consistent regarding length of exposure to night work (in years). A possible explanation is that workers who usually take on-shift naps could experience suppression of the BP increase derived from the many nights worked, while the non-nappers did not experience this suppression. The results may be explained by the relationship between napping, melatonin secretion, and attenuation of circadian misalignment. Napping likely contributes to creating a "physiologically nocturnal environment" that tends to favor the circadian system and, therefore, health. Possible negative effects related to sleep inertia deserve attention. The findings encourage new studies on this topic to improve the management of night work at hospitals in regard to workers' health.

The aim of this research project was to test the effects of lifetime night work exposure on type 2 diabetes (T2DM) risk. The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) is a prospective cohort study of chronic conditions, such as diabetes and cardiovascular disease. The participants (N = 15105) were recruited (2008-2010) at five public universities and one research institute in six cities in Brazil. Participants from the first wave (2008-2010) were followed up for a mean of 3.8 years. Current analyses comprise 4671 women and 3965 men. Hazard ratios (HR) were estimated using Cox regression models. Crude T2DM incidence rates were 2.26 and 1.44 per 100 person-years, respectively, for women and men who reported ≥ 10 years' working nights. In women, ≥ 10 years of night work was associated with a higher risk of T2DM (HR 1.46 [95% CI: 1.03; 2.08]), after adjusting for age, education, work hours, and BMI. The additional adjustment for physical activity attenuated the association (HR 1.36 [95% CI: 0.94; 1.96]). In men, the results were not statistically significant (HR = 0.65 [95% CI: 0.40; 1.07]). The findings indicate the effects of lifetime night work on T2DM incidence seem to be greater among women than men.

Purpose: This study examined gender differences in the association between work-family conflict and self-rated health and evaluated the effect of educational attainment., Method: We used baseline data from ELSA-Brasil, a cohort study of civil servants from six Brazilian state capitals. Our samples included 12,017 active workers aged 34-72 years. Work-family conflict was measured by four indicators measuring effects of work on family, effects of family in work and lack of time for leisure and personal care., Results: Women experienced more frequent work-family conflict, but in both genders, increased work-family conflict directly correlated with poorer self-rated health. Women's educational level interacted with three work-family conflict indicators. For time-based effects of work on family, highly educated women had higher odds of suboptimal self-rated health (OR = 1.54; 95 % CI = 1.19-1.99) than less educated women (OR = 1.14; 95 % CI = 0.92-1.42). For strain-based effects of work on family, women with higher and lower education levels had OR = 1.91 (95 % CI 1.48-2.47) and OR = 1.40 (95 % CI 1.12-1.75), respectively. For lack of time for leisure and personal care, women with higher and lower education levels had OR = 2.60 (95 % CI = 1.95-3.47) and OR = 1.11 (95 % CI = 0.90-1.38), respectively., Conclusion: Women's education level affects the relationship between work-family conflict and self-rated health. The results may contribute to prevention activities.

Data on the association between shift work and hypertension are controversial. Sleep restriction is hypothesized to be involved in this relationship. Since on-shift nap can partly compensate for sleep deprivation among night workers, this investigation is aimed at (i) comparing the prevalence of hypertension among workers considering both current and former night work, (ii) testing the association between on-shift naps and hypertension among night workers, and (iii) analyzing the influence of sleep complaints in the association between on-shift nap and hypertension. Nap was defined as a sleep episode with duration shorter than the average nighttime sleep. A cross-sectional study was performed at the 18 largest public hospitals in Rio de Janeiro, Brazil, in 2010-2011 (N = 2588 female registered nurses). Nurses were informally allowed to nap for up to three consecutive hours during working nights. Workers completed a multidimensional questionnaire including self-reported information on physician diagnosis of hypertension, napping, and sleep complaints (insomnia, diurnal sleepiness, and non-satisfactory sleep). Epidemiological and statistical treatment of data included binomial logistic regression and interaction tests. Higher chances of hypertension were observed for both current and former night workers compared with workers with no previous experience in night work, i.e. exclusive day workers (OR = 1.68; CI95% 1.22-2.33 and OR = 1.40; CI95% 1.01-1.96, respectively) after adjustment for age, race/ethnicity, physical activity, smoking, alcohol consumption, insomnia, weekly work hours, and BMI. Compared with exclusive day workers, both non-nappers and nappers were at a higher likelihood of reporting hypertension (OR = 1.93 CI95% 1.35-2.79 and OR = 1.41 CI95% 1.08-2.20, respectively). An interaction was observed between napping behavior and insomnia (p = 0.037). In the whole sample of night workers, the lower OR for nappers was confirmed when they were directly compared with non-nappers (OR = 0.76 CI95% 0.59-0.98). Analysis of night workers stratified by insomnia showed a significant reduction in OR for nappers (compared to non-nappers) only among insomniacs (OR = 0.58). Napping during night work may be a protective factor for hypertension, particularly among insomniacs. Factors related to melatonin secretion, blood pressure control, and blood pressure dipping patterns are likely to be involved in the relationship between on-shift napping and blood pressure.

Night work has been suggested as a risk factor for diabetes. Individuals with high triglyceride levels, high LDL cholesterol, low HDL cholesterol and obesity, especially abdominal obesity, have a greater chance of developing diabetes. The aim of this study was to analyze glycemic levels, total cholesterol, HDL-C, LDL-C, triglycerides and the anthropometric alterations that precede diabetes, considering their possible association with nigh work among a non-diabetic population. Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) comprises of 15,105 civil servants (35-74 years old) at baseline (2008-2010). The following parameters were analyzed: serum cholesterol (total cholesterol, HDL-C, LDL-C), triglycerides and glucose drawn from 12-hour fasting blood sample, glycated hemoglobin and 2-hour plasma glucose obtained after a 75 g oral glucose tolerance test, BMI, hip and waist measurements using standard equipment and techniques. Participants with diabetes, retired workers and day workers with previous experience of night work were excluded. Generalized linear models, a gamma regression model with an identity link function, were performed to test the association of night work with metabolic and anthropometric variables. The study sample consisted of 3918 men and 4935 women; 305 (7.8%) and 379 (7.7%) of the participants were men and women who worked at night, respectively. Among the men, the exposure to night work was associated with an increase in BMI (b-value = 0.542; p = 0.032) and waist circumference (b-value = 1.66; p = 0.014). For women, increased fasting plasma glucose (b-value = 2.278; p < 0.001), glycated hemoglobin (b-value = 0.099, p < 0.001) and 2 hour plasma glucose (b-value = 5.479, p = 0.001) were associated with night work after adjustments. No significant associations between night work and triglycerides, LDL-C, HDL-C, total cholesterol levels or waist-hip ratio were found. The influences of night work on metabolic and anthropometric factors suggest night work as a potential risk factor for type 2 diabetes. Further studies are needed to investigate the inconclusive data on gender differences in the associations.