03226nas a2200457 4500000000100000008004100001260003400042653002100076653001700097653001900114100001500133700001600148700001700164700001100181700001400192700001600206700002200222700001300244700001400257700001100271700001600282700001300298700001500311700001600326700001100342700001500353700001500368700001300383700001600396700001200412700001500424700001400439700001700453700001300470245005300483856007500536300001200611490000700623520211300630022002502743 2021 d bOxford University Press (OUP)10aGeneral Medicine10aEpidemiology10aCohort Studies1 aBarreto ML1 aIchihara MY1 aPescarini JM1 aAli MS1 aBorges GL1 aFiaccone RL1 aRibeiro-Silva RDC1 aTeles CA1 aAlmeida D1 aSena S1 aCarreiro RP1 aCabral L1 aAlmeida BA1 aBarbosa GCG1 aPita R1 aBarreto ME1 aMendes AAF1 aRamos DO1 aBrickley EB1 aBispo N1 aMachado DB1 aPaixao ES1 aRodrigues LC1 aSmeeth L00aCohort Profile: The 100 Million Brazilian Cohort uhttps://academic.oup.com/ije/article-pdf/51/2/e27/43620267/dyab213.pdf ae27-e380 v513 a
Key Features
The creation of The 100 Million Brazilian Cohort was motivated by the availability of high quality but dispersed social and health databases in Brazil and the need to integrate data and evaluate the impact of policies aiming to improve the social determinants of health (e.g. social protection policies) on health outcomes, overall and in subgroups of interest in a dynamic cohort.
The baseline of The 100 Million Brazilian Cohort comprises 131 697 800 low-income individuals in 35 358 415 families from 2011 to 2018. The Cohort population is mostly composed of children and young adults, with a higher proportion of females than the general Brazilian population, who identify themselves as Brown and live in the urban area of the country.
Exposure to social protection and the follow-up of individuals are obtained through: (i) deterministic linkage using the Social Identification Number (NIS) to link the Cohort baseline to social protection programmes and to periodically renewed socioeconomic information in Cadatro Único datasets; and/or (ii) non-deterministic linkage using the CIDACS-RL non-deterministic linkage tool, to link the Cohort baseline to administrative health care datasets such as mortality (Mortality Information System, SIM), disease notification (Information System for Notifiable Diseases, SINAN), birth information (Live Birth Information System, SINASC) and nutrition status (Food and Nutrition Surveillance System, SISVAN).
So far, studies have used The 100 Million Brazilian Cohort to investigate the socioeconomic and demographic determinants of leprosy, leprosy treatment outcomes and low birthweight and to evaluate the impact of the Bolsa Familia Programme (BFP) on leprosy and child mortality. Other studies are now being conducted that are of utmost relevance to the health inequalities of Brazil and many low- and middle-income countries, and many research opportunities are being opened up with the linkage of a range of health outcomes.