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Background: Women's health and well-being (WHW) have been receiving growing attention, but limited progress has been made on how to measure its different domains in low- and middle-income countries (LMICs). We used data from five long-term birth cohorts in Brazil, Guatemala, the Philippines and South Africa to explore different domains of adult WHW, and how these domains relate to early life exposures. Methods: Based upon an a priori conceptualisation of eight postulated WHW outcomes available in the data, we grouped them as follows: human capital (intelligence quotient, schooling, height, and teenage childbearing), metabolic health (body mass index and metabolic syndrome score), and psychological (happiness and Self-Reported Questionnaire (SRQ) scores). Correlation analyses confirmed the variables theoretically belonging to the same dimension of WHW were statistically related. We then applied principal component analysis to each group of variables separately and used the first principal component as a summary quantitative measure of the corresponding WHW dimension. Finally, we assessed the association of each domain with a range of early-life factors: wealth, maternal education, maternal height, water, and sanitation, birthweight, length at two years and development quotient in mid-childhood. Results: The three domains were largely uncorrelated. Early determinants were positively associated with human capital, while birth order was negatively associated. Fewer associations were found for the metabolic or psychological components. Birthweight and weight at age two years were inversely associated with metabolic health. Maternal education was associated with better psychological health. Conclusions: Our findings indicate that WHW is multidimensional, with most women in the cohorts being compromised in one or more domains while few women scored highly in all three domains. Our analyses are limited by lack of data on adolescent exposures and on other relevant WHW dimensions such as safety, agency, empowerment, and violence. Further research is needed in LMICs for identifying and measuring the multiple domains of WHW.

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Partnership between early childhood development interventions and primary health care services can help catalyse health care uptake by socially vulnerable families. This study aimed to assess the real-life effects of a large-scale home visiting programme [Primeira Infância Melhor (PIM)] in Brazil on the use of preventive (prenatal visits, well child visits, dentist visits and vaccination) and recovery (emergency room visits and hospitalization) health services. A quasi-experiment nested in a population-based birth cohort study was conducted. The intervention group was firstly defined as all children enrolled in PIM up to age 6 months, and afterwards stratified between those enrolled during pregnancy or after birth up to 6 months. Children receiving PIM were matched with controls on propensity scores based on 27 confounders to estimate effects on health service use from prenatal to age 2 years. Double adjustment was applied in outcome Quasi-Poisson regressions. No evidence was found for effects of PIM starting anytime up to 6 months (262 pairs), or for the children enrolled only after birth (133 pairs), on outcomes occurring after age 6 months. When the programme started during pregnancy (129 pairs), there was a 13% higher prevalence of adequate prenatal visits (prevalence ratio = 1.13; 95% confidence interval 1.01-1.27), but no effect on use of any other health service. Sensitivity analyses suggested longer participation in the programme with reduced visitor turnover might improve its impact on prenatal visits. Integration between PIM and primary health care was not adequate to affect overall patterns of contacts with health services. Nevertheless, prenatal home visits showed potential to increase health service contact during a sensitive period of development, indicating the need to start such programmes before birth, when there is more time for maternal care, and family engagement in a network of services is facilitated.

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PURPOSE: This study aimed to determine whether the factors underlying potential differences between two birth cohorts, born in 1982 and 1993, influence the changes in IQ over time. METHODS: Data from two Brazilian birth cohorts were used (1993 and 1982 Pelotas Birth Cohorts). The IQ scores were assessed using the WAIS-III test. RESULTS: Results showed that women born in 1993 had a higher average IQ score than those born in 1982, but no difference was found among men. The increase in IQ scores was only limited to participants from families with an income ranging from 1.1 to 3 times the minimum wage at the time of birth. The mean IQ score of participants born to mothers below the age of 20 remained stable over time, but increase for participants whose mothers were 20 years of age or older at the time of birth. CONCLUSIONS: This study emphasizes the importance of considering socio-economic and demographic factors when examining differences in IQ scores over time. Further research is needed to understand the underlying mechanisms of these findings.

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BACKGROUND: The scale-up of parenting programmes to support early childhood development (ECD) is poorly understood. Little is known about how and when early interventions are most effective. Sustainability of ECD programming requires a better understanding of the mechanisms of real-world interventions. We examined the effects on caregiving practices of Primeira Infância Melhor (PIM), a state-wide home-visiting programme in Brazil. METHODS: This propensity score matched, longitudinal, quasiexperimental study uses data from the 2015 Pelotas Birth Cohort. We matched children who received PIM at any age with other cohort children on 25 key covariates. Sensitivity, guidance and responsiveness were assessed using video-recorded play tasks. Coerciveness and the parent-child relationship were assessed using the Parenting and Family Adjustment Scales. All parenting outcomes were examined at age 4 years. Separate moderation analyses were conducted for each effect modifier: family income, child age and duration of participation. RESULTS: Out of 4275 children in the cohort, 797 were enrolled in PIM up to age 4 years. 3018 children (70.6%) were included in the analytic sample, of whom 587 received PIM and 2431 were potential controls. We found a positive effect of PIM on responsiveness (ß=0.08, 95% CIs 0.002 to 0.16) and sensitivity (ß=0.10, 95% CIs 0.02 to 0.19). No effect was found for any secondary outcomes. Moderation analyses revealed a stronger positive effect on sensitivity for low-income parents (ß=0.18, 95% CIs 0.03 to 0.34). CONCLUSION: A state-wide, home-visiting programme in Brazil improved aspects of responsive caregiving. Effects were more pronounced for low-income families, suggesting benefits of purposeful targeting.

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Maternal mental health during different stages of life can have a significant impact on a child's cognitive development. This study aimed to investigate the association between maternal CMD at two distinct stages of the offspring's life (at 3 months and 11 years) and their IQ scores at 6 and 18 years across two birth cohorts. The study utilized data from two Brazilian birth cohorts: the 1993 cohort (full sample: N = 3719, subsample: N = 436), and the 2004 Pelotas Birth Cohort (N = 3440). IQ assessments were conducted at ages 18 and 6, employing the Wechsler Adult Intelligence Scale, third version (WAIS-III), and Wechsler Intelligence Scale for Children, third version (WISC-III), respectively. The presence of maternal CMD at 3 months and 11 years of age was evaluated using the Brazilian version of the Self-Reporting Questionnaire (SRQ-20). After adjustment, participants whose mothers experienced CMD at 3 months had average IQ scores 1.74 (95 % CI: -2.83 to -0.67) and 2.79 (95 % CI: -5.54 to -0.04) points lower at ages 6 (2004 cohort) and 18 (1993 cohort subsample), respectively. Furthermore, in the 1993 cohort (both full and subsample), maternal CMD at 11 years was associated with lower IQ scores at age 18. Understanding the mechanisms underlying this association, emphasized by these findings, is crucial for promoting children's cognitive development, educational achievement, and overall well-being.

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BACKGROUND: Instrumental variables (IVs) can be used to provide evidence as to whether a treatment has a causal effect on an outcome . Even if the instrument satisfies the three core IV assumptions of relevance, independence, and exclusion restriction, further assumptions are required to identify the average causal effect (ACE) of on . Sufficient assumptions for this include homogeneity in the causal effect of on ; homogeneity in the association of with ; and no effect modification. METHODS: We describe the no simultaneous heterogeneity assumption, which requires the heterogeneity in the - causal effect to be mean independent of (i.e., uncorrelated with) both and heterogeneity in the - association. This happens, for example, if there are no common modifiers of the - effect and the - association, and the - effect is additive linear. We illustrate the assumption of no simultaneous heterogeneity using simulations and by re-examining selected published studies. RESULTS: Under no simultaneous heterogeneity, the Wald estimand equals the ACE even if both homogeneity assumptions and no effect modification (which we demonstrate to be special cases of-and therefore stronger than-no simultaneous heterogeneity) are violated. CONCLUSIONS: The assumption of no simultaneous heterogeneity is sufficient for identifying the ACE using IVs. Since this assumption is weaker than existing assumptions for ACE identification, doing so may be more plausible than previously anticipated.

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BACKGROUND: The composite coverage index (CCI) provides an integrated perspective towards universal health coverage in the context of reproductive, maternal, newborn and child health. Given the sample design of most household surveys does not provide coverage estimates below the first administrative level, approaches for achieving more granular estimates are needed. We used a model-based geostatistical approach to estimate the CCI at multiple resolutions in Peru. METHODS: We generated estimates for the eight indicators on which the CCI is based for the departments, provinces, and areas of 5 × 5 km of Peru using data from two national household surveys carried out in 2018 and 2019 plus geospatial covariates. Bayesian geostatistical models were fit using the INLA-SPDE approach. We assessed model fit using cross-validation at the survey cluster level and by comparing modelled and direct survey estimates at the department-level. RESULTS: CCI coverage in the provinces along the coast was consistently higher than in the remainder of the country. Jungle areas in the north and east presented the lowest coverage levels and the largest gaps between and within provinces. The greatest inequalities were found, unsurprisingly, in the largest provinces where populations are scattered in jungle territory and are difficult to reach. CONCLUSIONS: Our study highlighted provinces with high levels of inequality in CCI coverage indicating areas, mostly low-populated jungle areas, where more attention is needed. We also uncovered other areas, such as the border with Bolivia, where coverage is lower than the coastal provinces and should receive increased efforts. More generally, our results make the case for high-resolution estimates to unveil geographic inequities otherwise hidden by the usual levels of survey representativeness.

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By March 3, 2022, the COVID-19 pandemic has caused more than 399 million infections and claimed the lives of more than five million people worldwide. To reduce infection rates, a series of prevention measures indicated by the World Health Organization (WHO) were adopted by countries, including the use of masks. This study aims to describe mask use in Brazil via data analysis from the EPICOVID19-BR, a population-based study conducted in 133 cities in the country in four phases between March and August 2020. The proportion of individuals who reported wearing a mask when they left their homes was 97.9% (95%CI: 97.8-98.0). The interviewer did not see interviewees' mask in 50% (95%CI: 49.9-51.1) of the cases at the time of the interview. However, between phase one and four of the survey, we observed a 4.4% decrease in the proportion of interviewees who failed to wear masks at the time of the interview. Mask non-visualization was more prominent in women, participants aged 10-19 and 20-29 years of indigenous, black, and brown skin color, and those with elementary and high school education and in the Central-West Region. The use of cloth masks showed a 91.4% predominance (95%CI: 91.2-1.5) with a 4.9% increase between phases 1 and 4. The results of the study bring important information to reinforce COVID-19 control policies in Brazil. The high percentage of people who failed to wear masks at the time of the interview suggests that it is still important to reinforce prevention and self-care, rather than relating mask wear to a mandatory measure.

A pandemia de COVID-19 já causou mais de 399 milhões de infecções e custou a vida de mais de cinco milhões de pessoas no mundo, até 3 de março de 2022. Para reduzir a taxa de infecção, uma série de medidas de prevenção indicadas pela Organização Mundial da Saúde (OMS) foram adotadas pelos países, entre elas, o uso de máscara. O objetivo deste estudo é descrever a utilização de máscara na população brasileira, através da análise de dados do EPICOVID19-BR, um estudo de base populacional realizado em 133 cidades do país, em quatro fases entre março e agosto de 2020. A proporção de indivíduos que preferiram usar máscara quando saíam de casa foi de 97,9% (IC95%: 97,8-98,0). O entrevistador não visualizou a máscara do entrevistado em 50% (IC95%: 49,9-51,1) dos casos no momento da entrevista, no entanto, entre a fase uma e quatro da pesquisa, observou-se uma diminuição de 4,4 pontos percentuais na proporção de entrevistados que não usaram máscara no momento da entrevista. A não visualização da máscara foi mais observada em mulheres, participantes com idade entre 10-19 e 20-29 anos, de cor de pele indígena, preta, e parda, entre as pessoas com Ensinos Fundamental e Médio e na Região Centro-oeste. O uso de máscara de tecido foi predominante 91,4% (IC95%: 91,2-91,5) com um aumento de 4,9 pontos percentuais entre as fases 1 e 4. Os resultados do estudo trazem informações importantes para reforçar as políticas de controle de COVID-19 no Brasil. O alto percentual de pessoas sem máscara na hora da entrevista sugere que ainda é importante reforçar o aspecto preventivo e de autocuidado, não fazendo do uso da máscara algo apenas ligado à obrigatoriedade.

La pandemia del COVID-19 ha provocado más de 399 millones de infecciones y se ha cobrado la vida de más de cinco millones de personas en todo el mundo hasta el 3 de Marzo de 2022. Para reducir la tasa de contagios, los países adoptaron una serie de medidas de prevención indicadas por la Organización Mundial de la Salud (OMS), entre ellas el uso de mascarillas. El objetivo de este estudio es describir el uso de mascarillas en la población brasileña, utilizando el análisis de datos de EPICOVID19-BR, un estudio de base poblacional realizado en 133 ciudades del país, en cuatro fases entre marzo y agosto de 2020. La proporción de personas que informaron usar mascarillas al salir de casa fue del 97,9% (IC95%: 97,8-98,0). El entrevistador no vio la mascarilla del entrevistado en el 50% (IC95%: 49,9-51,1) de los casos al momento de la entrevista, sin embargo entre las fases uno y cuatro de la investigación se observó una disminución de 4,4 puntos porcentuales en la proporción de los encuestados que no llevaban mascarilla durante la entrevista. Se observó una mayor visualización de falta de uso de mascarillas en las mujeres, en participantes con edades entre 10-19 y 20-29 años, de color de piel indígena, negra y parda, entre personas con educación primaria y secundaria y en la Región Centro-oeste. Hubo un mayor predominio de uso de mascarillas de tela en el 91,4% (IC95%: 91,2-91,5) con un aumento de 4,9 puntos porcentuales entre las fases 1 y 4. Los resultados muestran la importancia de fortalecer las políticas de prevención del COVID-19 en Brasil. El alto porcentaje de personas sin mascarilla al momento de la entrevista sugiere que es importante reforzar la prevención y el autocuidado en general no solo relacionado a la obligatoriedad en el uso de mascarillas.

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BACKGROUND: Interpreting instrumental variable results often requires further assumptions in addition to the core assumptions of relevance, independence, and the exclusion restriction. METHODS: We assess whether instrument-exposure additive homogeneity renders the Wald estimand equal to the average derivative effect (ADE) in the case of a binary instrument and a continuous exposure. RESULTS: Instrument-exposure additive homogeneity is insufficient for ADE identification when the instrument is binary, the exposure is continuous, and the effect of the exposure on the outcome is nonlinear on the additive scale. For a binary exposure, the exposure-outcome effect is necessarily additive linear, so the homogeneity condition is sufficient. CONCLUSIONS: For binary instruments, instrument-exposure additive homogeneity identifies the ADE if the exposure is also binary. Otherwise, additional assumptions (such as additive linearity of the exposure-outcome effect) are required.