Search

Ideal cardiovascular health (ICH) promotes primordial prevention of cardiovascular diseases. However, whether ICH is associated with arterial stiffness in the transition to adulthood and the mechanisms associated have yet to be shown. The aims of this investigation were to: 1) investigate whether there is a prospective association between ICH and pulse wave velocity (PWV) in the transition to adulthood; and 2) to stablish whether the association between ICH and PWV is mediated by inflammatory markers.Participants were part of the 1993 Pelotas Birth Cohort and follow-ups at 18- and 22-years were used in this study. At the age of 18 years, ICH was computed as the presence of ideal for the following metrics: physical activity, diet, smoking, blood cholesterol and glucose, blood pressure, and body mass index. At the age of 22 years, aortic PWV was obtained as well as interleukin-6 (IL-6) and C-reactive protein (CRP).A total of 3528 (1851 females) were included in the analysis. A significant linear effect was observed for ICH on PWV. After adjusting for socioeconomical status, skin colour, birth weight, and mother schooling male and female participants with better ICH profile had PWV of 0.70 m·sICH is inversely associated with PWV among male and female in the transition to adulthood with no mediating role of inflammation.

Early exposures such as maternal smoking can be associated mental disorders. We aimed to analyze the association between maternal smoking during pregnancy (MSDP), generalized anxiety disorder (GAD), and depression in the 1993 birth cohort (Pelotas, Brazil).Data on maternal smoking were collected in the perinatal study, while information on GAD and depression was collected at age 22 years using the Mini International Neuropsychiatric Interview (MINI). Information on maternal mental health, the mediator, was collected at the 11-year follow-up. Simple and multiple logistic regressions were used to assess the association between exposure, outcomes, and analysis of negative controls.3,781 participants presented complete data. The incidence of GAD was 10.4%, depression 2.9%, and smoking during pregnancy 32.6%. The children of mothers who smoked had a 45% higher chance of developing GAD at age 22 years (OR 1.45; 95%CI 1.18; 1.80) and 75% higher chance of depression (OR 1.75; 95%CI 1.18; 2.59). Also, the higher the number of cigarettes smoked. the higher was the chance for the development of GAD. Paternal smoking was not associated with the outcomes. The mother's mental health accounted for 18.2% of the association between maternal smoking and GAD, and for 13.4% for maternal smoking and depression.Data for smoking during pregnancy were collected through a self-report. Residual confusion due to important variables cannot be ruled out.MSDP was associated with the mental health of children in early adulthood. However, a small part of the effect found was mediated by the mother's mental health.

Maternal smoking during pregnancy causes several harmful effects, including deficits in the intelligence quotient (IQ), a measure associated with academic achievements and higher socioeconomic position. We aimed to measure the association between maternal smoking during pregnancy and offspring's IQ in two birth cohorts from Pelotas, Brazil. Data from the 1982 and 1993 birth cohorts were analyzed. Smoking during pregnancy was ascertained at the perinatal follow-up, and IQ was measured at 30 years (1982) and 18 years (1993). Simple and multiple linear regressions were used for crude and adjusted analysis. Mediation analysis was performed using birth weight and breastfeeding as possible mediators. Data analysis was conducted in 2020. There were 3611 and 4050 participants from the 1982 and 1993 cohorts, respectively. After adjustment for potential confounders, the inverse association between smoking during pregnancy and children's IQ remained significant in both cohorts. Offspring of mothers who smoked during pregnancy had an average of 1.32 less IQ points (95%CI: -2.23, -0.242) in the 1982 cohort, and an average of 1.66 less IQ points (95%CI: -2.42, -0.90) in the 1993 cohort. Neither cohort showed association with paternal smoking (negative controls) after adjustment. Breastfeeding's mediated effects accounted for 26.2% and 23.9% of the association in the 1982 and 1993 cohorts, respectively, while birth weight's accounted for 6.8% and 30.1%, respectively; indirect effects were not significant. The inverse association between maternal smoking and IQ and the lack of association with paternal smoking reinforces our findings of a negative association between exposure and outcome.

BACKGROUND: Understanding how gender norms affect health is an important entry point into designing programs and policies to change norms and improve gender equality and health. However, it is rare for global health datasets to include questions on gender norms, especially questions that go beyond measuring gender-related attitudes, thus limiting gender analysis. METHODS: We developed five case studies using health survey data from six countries to demonstrate approaches to defining and operationalising proxy measures and analytic approaches to investigating how gender norms can affect health. Key findings, strengths and limitations of our norms proxies and methodological choices are summarised. FINDINGS: Case studies revealed links between gender norms and multiple adolescent health outcomes. Proxys for norms were derived from data on attitudes, beliefs, and behaviours, as well as differences between attitudes and behaviours. Data were cross-sectional, longitudinal, census- and social network-based. Analytic methods were diverse. We found that gender norms affect: 1) Intimate partner violence in Nigeria; 2) Unhealthy weight control behaviours in Brazil and South Africa; 3) HIV status in Zambia; 4) Health and social mobility in the US; and 5) Childbirth in Honduras. INTERPRETATION: Researchers can use existing global health survey data to examine pathways through which gender norms affect health by generating proxies for gender norms. While direct measures of gender norms can greatly improve the understanding of how gender affects health, proxy measures for norms can be designed for the specific health-related outcome and normative context, for instance by either aggregating behaviours or attitudes or quantifying the difference (dissonance) between them. These norm proxies enable evaluations of the influence of gender norms on health and insights into possible reference groups and sanctions for non-compliers, thus informing programmes and policies to shape norms and improve health.