Trends and inequalities in maternal and child health in a Brazilian city: methodology and sociodemographic description of four population-based birth cohort studies, 1982-2015
Carregando...
Citações na Scopus
34
Tipo de produção
article
Data de publicação
2019
Título da Revista
ISSN da Revista
Título do Volume
Editora
OXFORD UNIV PRESS
Autores
BERTOLDI, Andrea Damaso
BARROS, Fernando C.
HALLAL, Pedro R. C.
MIELKE, Gregore I.
OLIVEIRA, Paula D.
MAIA, Maria Fatima S.
HORTA, Bernardo L.
GONCALVES, Helen
BARROS, Aluisio J. D.
TOVO-RODRIGUES, Luciana
Citação
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, v.48, suppl.1, p.i4-i15, 2019
Resumo
Background Few low-middle-income countries have data from comparable birth cohort studies spanning over time. We report on the methods used by the Pelotas cohorts (1982, 1993, 2004 and 2015) and describe time trends in sociodemographic characteristics of the participant families. Methods During the four study years, all maternity hospitals in the city were visited daily, and all urban women giving birth were enrolled. Data on socioeconomic and demographic characteristics were collected using standardized questionnaires, including data on maternal and paternal skin colour, age and schooling, maternal marital status, family income and household characteristics. The analyses included comparisons of time trends and of socioeconomic and ethnic group inequalities. Results Despite a near 50% increase in the city's population between 1982 and 2015, the total number of births declined from 6011 to 4387. The proportion of mothers aged 35years increased from 9.9% to 14.8%, and average maternal schooling from 6.5 [standard deviation (SD) 4.2] to 10.1 (SD 4.0) years. Treated water was available in 95.3% of households in 1982 and 99.3% in 2015. Three-quarters of the families had a refrigerator in 1982, compared with 98.3% in 2015. Absolute income-related inequalities in maternal schooling, household crowding, household appliances and access to treated water were markedly reduced between 1982 and 2015. Maternal skin colour was associated with inequalities in age at childbearing and schooling, as well as with household characteristics. Conclusions During the 33-year period, there were positive changes in social and environmental determinants of health, including income, education, fertility and characteristics of the home environment. Socioeconomic inequality was also reduced.
Palavras-chave
Maternal health, child health, socioeconomic factors, cohort studies, health surveys
Referências
- Angelo C., 2017, NATURE
- Averbug A, 2002, WORLD ECON, V25, P925, DOI 10.1111/1467-9701.00472
- Barros AJD, 2008, CAD SAUDE PUBLICA, V24, pS371, DOI 10.1590/S0102-311X2008001500002
- Barros AJD, 2006, REV SAUDE PUBL, V40, P402, DOI 10.1590/s0034-89102006000300007
- Barros AJD, 2013, PLOS MED, V10, DOI 10.1371/journal.pmed.1001390
- Barros F C, 1990, Paediatr Perinat Epidemiol, V4, P205, DOI 10.1111/j.1365-3016.1990.tb00639.x
- Barros FC, 2008, REV SAUDE PUBL, V42, P7, DOI 10.1590/s0034-89102008000900003
- Batty GD, 2007, BRAZ J MED BIOL RES, V40, P1277, DOI 10.1590/S0100-879X2007000900015
- Ben-Shlomo Y, 2014, HDB EPIDEMIOLOGY
- Brion MJ, 2010, PEDIATRICS, V126, pE57, DOI 10.1542/peds.2009-2754
- Burkart KM, 2018, AM J RESP CRIT CARE, V198, P208, DOI 10.1164/rccm.201707-1493OC
- Christian P, 2013, INT J EPIDEMIOL, V42, P1340, DOI 10.1093/ije/dyt109
- Goncalves H, 2019, INT J EPIDEMIOL, V48, pi80, DOI 10.1093/ije/dyy233
- Goncalves H, 2014, INT J EPIDEMIOL, V43, P1082, DOI 10.1093/ije/dyu077
- Hallal PC, 2018, INT J EPIDEMIOL, V47, P1048, DOI 10.1093/ije/dyx219
- Harper S, 2010, MILBANK Q, V88, P4, DOI 10.1111/j.1468-0009.2010.00587.x
- Hartwig FP, 2017, BIORXIV, DOI [10.1101/184234, DOI 10.1101/184234]
- Horta BL, 2015, INT J EPIDEMIOL, V44, P441, DOI 10.1093/ije/dyv017
- Howe LD, 2016, STAT METHODS MED RES, V25, P1854, DOI 10.1177/0962280213503925
- IBGE, 2018, SIST IBGE REC AUT SI
- Instituto de Pesquisa Economica Aplicada (IPEA), 2018, IPEA DAT
- Kuh D, 2003, J EPIDEMIOL COMMUN H, V57, P778, DOI 10.1136/jech.57.10.778
- Lima-Costa MF, 2015, SCI REP-UK, V5, DOI 10.1038/srep09812
- Loner BA, 2012, HIST CIENC SAUDE-MAN, V19, P133, DOI 10.1590/S0104-59702012000500008
- Medina-Gomez C, 2018, AM J HUM GENET, V102, P88, DOI 10.1016/j.ajhg.2017.12.005
- Miranda-Ribeiro A, 2015, REV LATINOAM POBL, V13, P91
- Paim J, 2011, LANCET, V377, P1778, DOI 10.1016/S0140-6736(11)60054-8
- Petrucelli JL, 2013, CARACTERISTICAS ETNI
- Restrepo-Mendez MC, 2015, PUBLIC HEALTH NUTR, V18, P2097, DOI 10.1017/S1368980014002924
- Richmond RC, 2014, EARLY HUM DEV, V90, P769, DOI 10.1016/j.earlhumdev.2014.08.023
- Santos IS, 2014, INT J EPIDEMIOL, V43, P1437, DOI 10.1093/ije/dyu144
- Santos IS, 2011, INT J EPIDEMIOL, V40, P1461, DOI 10.1093/ije/dyq130
- Silveira MF, 2019, INT J EPIDEMIOL, V48, pi46, DOI 10.1093/ije/dyy106
- StataCorp, 2017, STAT STAT SOFTW REL
- Sung YJ, 2018, AM J HUM GENET, V102, P375, DOI 10.1016/j.ajhg.2018.01.015
- Victora CG, 2008, INT J EPIDEMIOL, V37, P704, DOI 10.1093/ije/dym177
- Victora Cesar G., 2003, Cad. Saúde Pública, V19, P1241, DOI 10.1590/S0102-311X2003000500003
- Victora CG, 2011, LANCET, V377, P2042, DOI 10.1016/S0140-6736(11)60055-X
- Victora CG, 2011, LANCET, V377, P1863, DOI 10.1016/S0140-6736(11)60138-4
- Victora CG, 2006, INT J EPIDEMIOL, V35, P237, DOI 10.1093/ije/dyi290
- Victora CG, 2006, REV SAUDE PUBL, V40, P39, DOI 10.1590/S0034-89102006000100008
- Victora CG, 1988, EPIDEMIOLOGY INEQUAL