Commentary : Disentangling the contributions of childhood and adult weight to cardiovascular disease risk

Non peer reviewe

Early life diarrhoea and later blood pressure in a developing country: the 1982 Pelotas (Brazil) birth cohort study

Background: It has recently been hypothesised that acute dehydration in early childhood may "programme'' increased blood pressure via salt retention. We examined whether there was an association between episodes of diarrhoea (a proxy for acute dehydration) and later measured blood pressure.Methods: In the 1982 Pelotas birth cohort study (Brazil), parents/carers reported hospital admissions for diarrhoea in the first 12 and 20 months of study members' lives. Blood pressure was subsequently measured directly in adolescence (aged 15, 18, 19 years) and early adulthood (aged 23 years).Results: We found no evidence of an association between diarrhoea in the first 12 months of life and blood pressure measured at any point in adolescence or early adulthood. These findings were unchanged after adjustment for a range of covariates. Equally null results were apparent when diarrhoea admissions in the first 20 months of life, access to home sanitation and use of piped water were the exposures of interest.Conclusions: Early life proxies for dehydration and diarrhoea were unrelated to later blood pressure in this examination, the most comprehensive to date, of the potential association

Vitamin A supplementation in Tanzania: the impact of a change in programmatic delivery strategy on coverage.

BACKGROUND\ud \ud Efficient delivery strategies for health interventions are essential for high and sustainable coverage. We report impact of a change in programmatic delivery strategy from routine delivery through the Expanded Programme on Immunization (EPI+) approach to twice-yearly mass distribution campaigns on coverage of vitamin A supplementation in Tanzania\ud \ud METHODS\ud \ud We investigated disparities in age, sex, socio-economic status, nutritional status and maternal education within vitamin A coverage in children between 1 and 2 years of age from two independent household level child health surveys conducted (1) during a continuous universal targeting scheme based on routine EPI contacts for children aged 9, 15 and 21 months (1999); and (2) three years later after the introduction of twice-yearly vitamin A supplementation campaigns for children aged 6 months to 5 years, a 6-monthly universal targeting scheme (2002). A representative cluster sample of approximately 2,400 rural households was obtained from Rufiji, Morogoro Rural, Kilombero and Ulanga districts. A modular questionnaire about the health of all children under the age of five was administered to consenting heads of households and caretakers of children. Information on the use of child health interventions including vitamin A was asked.\ud \ud RESULTS\ud \ud Coverage of vitamin A supplementation among 1-2 year old children increased from 13% [95% CI 10-18%] in 1999 to 76% [95%CI 72-81%] in 2002. In 2002 knowledge of two or more child health danger signs was negatively associated with vitamin A supplementation coverage (80% versus 70%) (p = 0.04). Nevertheless, we did not find any disparities in coverage of vitamin A by district, gender, socio-economic status and DPT vaccinations.\ud \ud CONCLUSION\ud \ud Change in programmatic delivery of vitamin A supplementation was associated with a major improvement in coverage in Tanzania that was been sustained by repeated campaigns for at least three years. There is a need to monitor the effect of such campaigns on the routine health system and on equity of coverage. Documentation of vitamin A supplementation campaign contacts on routine maternal and child health cards would be a simple step to facilitate this monitoring

Indicador econômico para o Brasil baseado no censo demográfico de 2000

OBJECTIVE: To propose an asset based indicator of wealth for Brazil using variables present in the demographic census. METHODS: The indicator, named IEN (Indicador Econômico Nacional/ National Wealth Score), was developed using 12 assets and the schooling of the household head, through principal component analysis. Data from the 2000 Brazilian Demographic sample was used for deriving the score and for the calculation of decile cut-off points. RESULTS: The indicator, first component obtained from the analysis with the 13 variables, retained 38% of the total variability, and presented a Spearman correlation of 0,74 with total family income and of 0,67with per capita income. The necessary scores to calculate the indicator are presented, as well as reference distributions for the 27 states and their capitals, the five major regions as for the whole country. An example of use of indicator is presented. CONCLUSIONS: Differently from other economic indicators, the Indicador Econômico Nacional has local reference distributions available, along with the national distribution. It is therefore possible to compare a study sample to the municipal, state or country distribution. The small number of variables allow investigators to calculate the Indicador Econômico Nacional in research studies where economic classification is of interest.OBJETIVO: Propor um indicador econômico para o Brasil baseado em bens de consumo usando variáveis presentes no censo demográfico de 2000. MÉTODOS: O indicador, denominado Indicador Econômico Nacional (IEN), foi desenvolvido a partir de 12 bens e a escolaridade do chefe de família, por meio de análise de componentes principais. Dados da amostra do Censo Demográfico Brasileiro de 2000, realizado pelo Instituto Brasileiro de Geografia e Estatística, foram usados para gerar o indicador e para o cálculo dos pontos de corte dos decis de referência. RESULTADOS: O indicador, primeiro componente obtido da análise, reteve 38% da variabilidade total e apresentou correlação de Spearman de 0,74 com a renda total do domicílio e de 0,67 com a renda per capita. Os coeficientes necessários para calcular o indicador são apresentados, assim como as distribuições de referência para 27 capitais e Estados, as cinco regiões e o País. Apresenta-se um exemplo de como se usa o indicador. CONCLUSÕES: Diferentemente de outros indicadores econômicos disponíveis, o IEN tem as distribuições de referência publicadas, para capitais, Estados, Regiões, bem como a distribuição nacional. Torna-se possível, portanto, comparar a amostra estudada à distribuição municipal, estadual ou nacional. O número reduzido de variáveis torna fácil o cálculo do Indicador Econômico Nacional para investigadores envolvidos em pesquisas onde é importante a classificação econômica

Monitoring T cell-dendritic cell interactions in vivo by intercellular enzymatic labelling

Interactions between different cell types are essential for multiple biological processes, including immunity, embryonic development and neuronal signalling. Although the dynamics of cell-cell interactions can be monitored in vivo by intravital microscopy, this approach does not provide any information on the receptors and ligands involved or enable the isolation of interacting cells for downstream analysis. Here we describe a complementary approach that uses bacterial sortase A-mediated cell labelling across synapses of immune cells to identify receptor-ligand interactions between cells in living mice, by generating a signal that can subsequently be detected ex vivo by flow cytometry. We call this approach for the labelling of 'kiss-and-run' interactions between immune cells 'Labelling Immune Partnerships by SorTagging Intercellular Contacts' (LIPSTIC). Using LIPSTIC, we show that interactions between dendritic cells and CD4+ T cells during T-cell priming in vivo occur in two distinct modalities: an early, cognate stage, during which CD40-CD40L interactions occur specifically between T cells and antigen-loaded dendritic cells; and a later, non-cognate stage during which these interactions no longer require prior engagement of the T-cell receptor. Therefore, LIPSTIC enables the direct measurement of dynamic cell-cell interactions both in vitro and in vivo. Given its flexibility for use with different receptor-ligand pairs and a range of detectable labels, we expect that this approach will be of use to any field of biology requiring quantification of intercellular communication

Germinal Center Selection and Affinity Maturation Require Dynamic Regulation of mTORC1 Kinase

During antibody affinity maturation, germinal center (GC) B cells cycle between affinity-driven selection in the light zone (LZ) and proliferation and somatic hypermutation in the dark zone (DZ). Although selection of GC B cells is triggered by antigen-dependent signals delivered in the LZ, DZ proliferation occurs in the absence of such signals. We show that positive selection triggered by T cell help activates the mechanistic target of rapamycin complex 1 (mTORC1), which promotes the anabolic program that supports DZ proliferation. Blocking mTORC1 prior to growth prevented clonal expansion, whereas blockade after cells reached peak size had little to no effect. Conversely, constitutively active mTORC1 led to DZ enrichment but loss of competitiveness and impaired affinity maturation. Thus, mTORC1 activation is required for fueling B cells prior to DZ proliferation rather than for allowing cell-cycle progression itself and must be regulated dynamically during cyclic re-entry to ensure efficient affinity-based selection

Mortalidade neonatal: descrição e efeito do hospital de nascimento após ajuste de risco

OBJETIVO: Avaliar o efeito de hospital de nascimento na ocorrência de mortalidade neonatal. MÉTODOS: Uma coorte de nascimentos foi iniciada em Pelotas, em 2004. Todos os nascimentos hospitalares foram estudados em visitas diárias às maternidades da cidade, incluindo-se 4.558 recém-nascidos. As mães foram entrevistadas sobre fatores de risco em potencial e as mortes, monitoradas com visitas regulares aos hospitais, cemitérios e cartórios. Dois pediatras classificaram a causa básica da morte, de forma independente, a partir de informações obtidas no prontuário hospitalar e em entrevista com a família. Usou-se regressão logística para estimar o efeito do hospital de nascimento, controlando para variáveis de confusão relacionadas a características maternas e do recém-nascido. RESULTADOS: A taxa de mortalidade neonatal foi de 12,7. O risco esteve fortemente influenciado pelo peso ao nascer, idade gestacional e variáveis socioeconômicas. Imaturidade foi responsável por 65% das mortes neonatais, seguida por anomalias congênitas, infecções e asfixia intraparto. Ajustando para características maternas, foi observado um risco relativo igual a três para hospitais de mesmo nível de complexidade. O risco relativo diminuiu, mas persistiu, após controle para características do recém-nascido. CONCLUSÕES: A mortalidade neonatal variou entre hospitais e foi alta, principalmente relacionada à imaturidade. Para entender a fonte de variação da mortalidade neonatal e reduzir sua ocorrência é necessária uma avaliação aprofundada e comparativas com as práticas de cuidado entre hospitais.OBJECTIVE: To assess the effect of hospital of birth on neonatal mortality. METHODS: A birth cohort study was carried out in Pelotas, Southern Brazil, in 2004. All hospital births were assessed by daily visits to all maternity hospitals and 4558 deliveries were included in the study. Mothers were interviewed regarding potential risk factors. Deaths were monitored through regular visits to hospitals, cemeteries and register offices. Two independent pediatricians established the underlying cause of death based on information obtained from medical records and home visits to parents. Logistic regression was used to estimate the effect of hospital of birth, controlling for confounders related to maternal and newborn characteristics, according to a conceptual model. RESULTS: Neonatal mortality rate was 12.7 and it was highly influenced by birthweight, gestational age, and socioeconomic variables. Immaturity was responsible for 65% of neonatal deaths, followed by congenital anomalies, infections and intrapartum asphyxia. Adjusting for maternal characteristics, a three-fold increase in neonatal mortality was seen between similar complexity hospitals. The effect of hospital remained, though lower, after controlling for newborn characteristics. CONCLUSIONS: Neonatal mortality was high, mainly related to immaturity, and varied significantly across maternity hospitals. Further investigations comparing delivery care practices across hospitals are needed to better understand NMR variation and to develop strategies for neonatal mortality reduction

The SWPER index for women’s empowerment in Africa: development and validation of an index based on survey data

Background The Sustainable Development Goals strongly focus on equity. Goal 5 explicitly aims to empower all women and girls, reinforcing the need to have a reliable indicator to track progress. Our objective was to develop a novel women's empowerment indicator from widely available data sources, broadening opportunities for monitoring and research on women's empowerment. Methods We used Demographic and Health Survey data from 34 African countries, targeting currently partnered women. We identified items related to women's empowerment present in most surveys, and used principal component analysis to extract the components. We carried out a convergent validation process using coverage of three health interventions as outcomes; and an external validation process by analysing correlations with the Gender Development Index. Findings 15 items related to women's empowerment were selected. We retained three components (50% of total variation) which, after rotation, were identified as three dimensions of empowerment: attitude to violence, social independence, and decision making. All dimensions had moderate to high correlation with the Gender Development Index. Social independence was associated with higher coverage of maternal and child interventions; attitude to violence and decision making were more consistently associated with the use of modern contraception. Interpretation The index, named Survey-based Women's emPowERment index (SWPER), has potential to widen the research on women's empowerment and to give a better estimate of its effect on health interventions and outcomes. It allows within-country and between-country comparison, as well as time trend analysis, which no other survey-based index provides

Could we find any signal of the stratosphere-ionosphere coupling in Antarctica?

An investigation searching for a possible coupling between the lower ionosphere and the middle atmosphere in Antarctica is here performed on the basis of stratospheric vertical temperature profiles and ionospheric absorption data observed at the Antarctic Italian Base of Terra Nova Bay (74.69S, 164.12E) during local summer time. The result obtained by applying a multi-regression analysis and a Superimposed Epoch Analysis (SEA) shows a statistically significant ionosphere-stratosphere interaction. In particular, by selecting stratospheric temperature maxima occurring at different heights as the referring epoch for the SEA approach, the ionospheric absorption is found to show a positive and/or negative trend (several days) around it. The tendency for an increasing/decreasing absorption is obtained for temperature maxima occurring below/above the stratospheric level of about 17-19 km, respectively

The contribution of poor and rural populations to national trends in reproductive, maternal, newborn, and child health coverage: analyses of cross-sectional surveys from 64 countries

Background Coverage levels for essential interventions aimed at reducing deaths of mothers and children are increasing steadily in most low-income and middle-income countries. We assessed how much poor and rural populations in these countries are benefiting from national-level progress. Methods We analysed trends in a composite coverage indicator (CCI) based on eight reproductive, maternal, newborn, and child health interventions in 209 national surveys in 64 countries, from Jan 1, 1994, to Dec 31, 2014. Trends by wealth quintile and urban or rural residence were fitted with multilevel modelling. We used an approach akin to the calculation of population attributable risk to quantify the contribution of poor and rural populations to national trends. Findings From 1994 to 2014, the CCI increased by 0·82 percent points a year across all countries; households in the two poorest quintiles had an increase of 0·99 percent points a year, which was faster than that for the three wealthiest quintiles (0·68 percent points). Gains among poor populations were faster in lower-middle-income and uppermiddle- income countries than in low-income countries. Globally, national level increases in CCI were 17·5% faster than they would have been without the contribution of the two poorest quintiles. Coverage increased more rapidly annually in rural (0·93 percent points) than urban (0·52 percent points) areas. Interpretation National coverage gains were accelerated by important increases among poor and rural mothers and children. Despite progress, important inequalities persist, and need to be addressed to achieve the Sustainable Development Goals