Abstract
Purpose
To investigate, through a spatio-temporal analysis, the association between the percentages of live births of adolescent mothers (LBAM) and the human development index (HDI), including the three components: income, education and longevity.
Methods
The percentage of LBAM was obtained from the Brazilian Live Births Information System for the state of Minas Gerais, Brazil in the period 2000–2015 and the HDI data and its components were obtained from United Nations Development Program’s (UNDP) Human Development Reports. A generalized additive model (GAM) was used to estimate the relative risk of LBAM in relation to the HDI and to identify spatial clusters of the geographical distribution of LBAM, the Moran global and local index was used.
Results
There is an association between the HDI and its components with LBAM. The high values of relative risk are spatially concentrated in the northern part of the state of Minas Gerais. The graphs indicated a nonlinear relationship between LBAM over the years.
Conclusions
There is a strong spatial dependence of LBAM in Minas Gerais, which suggests that a geographical location plays a fundamental role in understanding it. The regional disparity confirmed in this study is inherent in the process of human development, it is important for planning actions aimed at the development of these regions in order to minimize existing disparities.
Funding source: CAPES
Award Identifier / Grant number: 4576/2014-04
Funding source: CNPq
Award Identifier / Grant number: 305942/2012-3
Funding source: University of São Paulo
Award Identifier / Grant number: 2016.1.1154.17.3
Funding statement: The Brazilian Federal Agency for Post-graduate Education (CAPES, Funder: 10.13039/501100002322, Grant 4576/2014-04), National Council for Scientific and Technological Development (CNPq, Funder: 10.13039/501100003593, Grant 305942/2012-3) and University of São Paulo (Funder: 10.13039/501100005639, process number 2016.1.1154.17.3) funded this research.
Acknowledgments
The authors are very grateful to the reviewers for their helpful comments during the revision process of the manuscript.
References
[1] Kawakita T, Wilson K, Grantz KL, Landy HJ, Huang CC, Gomez-Lobo V. Adverse maternal and neonatal outcomes in adolescent pregnancy. J Pediatr Adoles Gynecol. 2016;29:130–6. DOI: 10.1016/j.jpag.2015.08.006.Search in Google Scholar PubMed PubMed Central
[2] Ghose S, John LB. Adolescent pregnancy: an overview. Int J Reprod Contracept Obstet Gynecol. 2017;6:4197–203. DOI: 10.18203/2320-1770.ijrcog20174393.Search in Google Scholar
[3] World Health Organization. Making pregnancy safer: adolescent pregnancy. 2011.Search in Google Scholar
[4] Vaz RF, Monteiro DL, Rodrigues NC. Trends of teenage pregnancy in Brazil, 2000-2011. Rev Assoc Med Bras. 2016;62(4):330–5. DOI: 10.1590/1806-9282.62.04.330.Search in Google Scholar PubMed
[5] Pinho-Pompeu M, Surita F, Pastore D, Paulino DS, Pinto e Silva JL. Anemia in pregnant adolescents: impact of treatment on perinatal outcomes. J Matern Fetal Neonatal Med. 2017;30:1158–62. DOI: 10.1080/14767058.2016.1205032.Search in Google Scholar PubMed
[6] Demirci O, Yılmaz E, Tosun Ö, Kumru P, Arınkan A, Mahmutoğlu D, et al. Effect of young maternal age on obstetric and perinatal outcomes: results from the Tertiary Center in Turkey. Balkan Med J. 2016;33:344–9. DOI: 10.5152/balkanmedj.2015.150364.Search in Google Scholar PubMed PubMed Central
[7] Nair A, Devi S. Obstetric outcome of teenage pregnancy in comparison with pregnant women of 20–29 years: a retrospective study. Int J Reprod Contracept Obstet Gynecol. 2017;4:1319–23. DOI: 10.18203/2320-1770.ijrcog20150703.Search in Google Scholar
[8] Gortzak-Uzan L, Hallak M, Press F, Katz M, Shoham-Vardi I. Teenage pregnancy: risk factors for adverse perinatal outcome. J Matern Fetal Neonatal Med. 2001;10:393–397. DOI: 10.1080/jmf.10.6.393.397.Search in Google Scholar
[9] Faisal-Cury A, Tabb KM, Niciunovas G, Cunningham C, Menezes PR, Huang H. Lower education among low-income Brazilian adolescent females is associated with planned pregnancies. Int J Women’s Health. 2017;9:43–8. DOI: 10.2147/IJWH.S118911.Search in Google Scholar PubMed PubMed Central
[10] Zanchi M, Mendoza-Sassi RA, Silva MR, Almeida SG, Teixeira LO, Gonçalves CV. Pregnancy recurrence in adolescents in Southern Brazil. Rev Assoc Med Bras.. 2017;63:628–35. DOI: 10.1590/1806-9282.63.07.628.Search in Google Scholar PubMed
[11] Chandra-Mouli V, Camacho AV, Michaud PA. WHO guidelines on preventing early pregnancy and poor reproductive outcomes among adolescents in developing countries. J Adolesc Health. 2013;52:517–22. DOI: 10.1016/j.jadohealth.2013.03.002.Search in Google Scholar PubMed
[12] Nagata JM. Global health priorities and the adolescent birth rate. J Adolesc Health. 2017;60:131–2. DOI: 10.1016/j.jadohealth.2016.11.009.Search in Google Scholar
[13] Pinto e Silva JL, Surita FG. Pregnancy in adolescence – a challenge beyond public health policies. Rev Bras Ginecol Obstet.. 2017;39:41–3. DOI: 10.1055/s-0037-1600899.Search in Google Scholar
[14] Nogueira MJ, Silva BF, Barcelos SM, Schall VT. Analysis of the spatial distribution of adolescent pregnancy in the city of Belo Horizonte. Rev Bras Epidemiol.. 2009;12:297–312. DOI: 10.1590/S1415-790X2009000300002.Search in Google Scholar
[15] Martins PC, Pontes ER, Ribeiro AA. Adolescent pregnancy: an ecological study in the health micro-regions of the State of Mato Grosso do Sul, Brazil-2008. Epidemiol Serv Saúde. 2014;23:91–100. DOI: 10.5123/S1679-49742014000100009.Search in Google Scholar
[16] Martinez EZ, Roza DL, Caccia-Bava MD, Achcar JA, Dal-Fabbro AL. Teenage pregnancy rates and socioeconomic characteristics of municipalities in São Paulo State, Southeast Brazil: a spatial analysis. Cad. Saúde Pública. 2011;27:855–67. DOI: 10.1590/S0102-311X2011000500004.Search in Google Scholar
[17] Roza DL, Martinez EZ. Spatial distribution of pregnancy in adolescence and associations with socioeconomic and social responsibility indicators: State of Minas Gerais, Southeast of Brazil. Rev Bras Ginecol Obstet.. 2015;37:366–73. DOI: 10.1590/SO100-720320150005420.Search in Google Scholar
[18] Romero DE, Cunha CB. Evaluation of quality of epidemiological and demographic variables in the Live Births Information System, 2002. Cad Saúde Pública. 2007;23:701–14. DOI: 10.1590/S0102-311X2007000300028.Search in Google Scholar
[19] Sagar AD, Najam A. The human development index: a critical review. Ecol Econom. 1998;25:249–64. DOI: 10.1016/S0921-8009(97)00168-7.Search in Google Scholar
[20] Moran PA. The interpretation of statistical maps. J R Stat Soc Series B Methodol. 1948;10:243–51.10.1111/j.2517-6161.1948.tb00012.xSearch in Google Scholar
[21] Buescher P. Problems with rates based on small numbers. Statistical Primer. 2008;12:1–6.Search in Google Scholar
[22] Bailey T, Gatrell A. Interactive spatial data analysis. vol. 413. Essex, UK: Longman Scientific & Technical, 1995.Search in Google Scholar
[23] Hastie T, Tibshirani R. Generalized additive models. Boca Raton: CRC press; 1990.Search in Google Scholar
[24] Wood S. Generalized additive models: an introduction with R. Boca Raton: CRC press; 2017.10.1201/9781315370279Search in Google Scholar
[25] Craven P, Wahba G. Smoothing noisy data with spline functions. Numer Math. 1978;31:377–403. DOI: 10.1007/BF01404567.Search in Google Scholar
[26] Wood SN. mgcv: GAMs and generalized ridge regression for R. R News. 2001;1:20–5.Search in Google Scholar
[27] Anselin L, Syabri I, Kho Y. GeoDa: an introduction to spatial data analysis. Geographical Analy. 2006;38:5–22. DOI: 10.1111/j.0016-7363.2005.00671.x.Search in Google Scholar
[28] Moreira TM, Viana DS, Queiroz MV, Bessa Jorge MS. Conflicts experienced by female adolescents with the discovery of pregnancy. Rev Esc Enferm USP. 2008;42:312–20. DOI: 10.1590/S0080-62342008000200015.Search in Google Scholar PubMed
[29] Yazlle ME, Mendes MC, Patta MC, Rocha JSY, Azevedo GD, Marcolin AC. The pregnant adolescent: some social indicators. Rev Bras Ginecol Obstet. 2002;24:609–14. DOI: 10.1590/S0100-72032002000900007.Search in Google Scholar
[30] Gama SG, Szwarcwald CL, Leal MC. Pregnancy in adolescence, associated factors, and perinatal results among low-income post-partum women. Cad Saúde Pública. 2002;18:153–61. DOI: 10.1590/S0102-311X2002000100016.Search in Google Scholar PubMed
[31] Cesar JA, Mendoza-Sassi RA, González-Chica DA, Mano PD, Goulart-Filha SD. Socio-demographic characteristics and prenatal and childbirth care in southern Brazil. Cad Saúde Pública. 2011;27:985–94. DOI: 10.1590/S0102-311X2011000500016.Search in Google Scholar PubMed
[32] Gama SG, Szwarcwald CL, Leal MD, Theme Filha MM. The pregnancy during adolescence as a risk factor for low birth weight, Brazil. Rev Saúde Públ. 2001;35:74–80. DOI: 10.1590/S0034-89102001000100011.Search in Google Scholar
[33] Singh S, Darroch JE. Adolescent pregnancy and childbearing: levels and trends in developed countries. Fam Plan Perspect. 2000;32:14–23. DOI: 10.2307/2648144.Search in Google Scholar
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