Your browser doesn't support javascript.
loading
Geographical distribution of fertility rates in 70 low-income, lower-middle-income, and upper-middle-income countries, 2010-16: a subnational analysis of cross-sectional surveys.
Pezzulo, Carla; Nilsen, Kristine; Carioli, Alessandra; Tejedor-Garavito, Natalia; Hanspal, Sophie E; Hilber, Theodor; James, William H M; Ruktanonchai, Corrine W; Alegana, Victor; Sorichetta, Alessandro; Wigley, Adelle S; Hornby, Graeme M; Matthews, Zoe; Tatem, Andrew J.
Afiliação
  • Pezzulo C; WorldPop, Geography and Environmental Science, University of Southampton, Southampton, UK. Electronic address: c.pezzulo@soton.ac.uk.
  • Nilsen K; WorldPop, Geography and Environmental Science, University of Southampton, Southampton, UK.
  • Carioli A; WorldPop, Geography and Environmental Science, University of Southampton, Southampton, UK.
  • Tejedor-Garavito N; WorldPop, Geography and Environmental Science, University of Southampton, Southampton, UK.
  • Hanspal SE; WorldPop, Geography and Environmental Science, University of Southampton, Southampton, UK.
  • Hilber T; Department of Earth Sciences Centre for Development Research, Freie Universität Berlin, Germany.
  • James WHM; WorldPop, Geography and Environmental Science, University of Southampton, Southampton, UK; School of Geography, and Leeds Institute for Data Analytics, University of Leeds, Leeds, UK.
  • Ruktanonchai CW; WorldPop, Geography and Environmental Science, University of Southampton, Southampton, UK; Department of Population Health Sciences, Virginia Tech, Blacksburg, VA, USA.
  • Alegana V; Population Health Unit, Kenya Medical Research Institute, Wellcome Trust Research Programme, Nairobi, Kenya; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK.
  • Sorichetta A; WorldPop, Geography and Environmental Science, University of Southampton, Southampton, UK.
  • Wigley AS; WorldPop, Geography and Environmental Science, University of Southampton, Southampton, UK.
  • Hornby GM; WorldPop, Geography and Environmental Science, University of Southampton, Southampton, UK; GeoData, University of Southampton, Southampton, UK.
  • Matthews Z; Division of Social Statistics, and Demography and Centre for Global Health, Population, Poverty and Policy, University of Southampton, Southampton, UK.
  • Tatem AJ; WorldPop, Geography and Environmental Science, University of Southampton, Southampton, UK.
Lancet Glob Health ; 9(6): e802-e812, 2021 06.
Article em En | MEDLINE | ID: mdl-34019836
ABSTRACT

BACKGROUND:

Understanding subnational variation in age-specific fertility rates (ASFRs) and total fertility rates (TFRs), and geographical clustering of high fertility and its determinants in low-income and middle-income countries, is increasingly needed for geographical targeting and prioritising of policy. We aimed to identify variation in fertility rates, to describe patterns of key selected fertility determinants in areas of high fertility.

METHODS:

We did a subnational analysis of ASFRs and TFRs from the most recent publicly available and nationally representative cross-sectional Demographic and Health Surveys and Multiple Indicator Cluster Surveys collected between 2010 and 2016 for 70 low-income, lower-middle-income, and upper-middle-income countries, across 932 administrative units. We assessed the degree of global spatial autocorrelation by using Moran's I statistic and did a spatial cluster analysis using the Getis-Ord Gi* local statistic to examine the geographical clustering of fertility and key selected fertility determinants. Descriptive analysis was used to investigate the distribution of ASFRs and of selected determinants in each cluster.

FINDINGS:

TFR varied from below replacement (2·1 children per women) in 36 of the 932 subnational regions (mainly located in India, Myanmar, Colombia, and Armenia), to rates of 8 and higher in 14 subnational regions, located in sub-Saharan Africa and Afghanistan. Areas with high-fertility clusters were mostly associated with areas of low prevalence of women with secondary or higher education, low use of contraception, and high unmet needs for family planning, although exceptions existed.

INTERPRETATION:

Substantial within-country variation in the distribution of fertility rates highlights the need for tailored programmes and strategies in high-fertility cluster areas to increase the use of contraception and access to secondary education, and to reduce unmet need for family planning.

FUNDING:

Wellcome Trust, the UK Foreign, Commonwealth and Development Office, and the Bill & Melinda Gates Foundation.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Países Desenvolvidos / Coeficiente de Natalidade / Países em Desenvolvimento Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Lancet Glob Health Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Países Desenvolvidos / Coeficiente de Natalidade / Países em Desenvolvimento Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Lancet Glob Health Ano de publicação: 2021 Tipo de documento: Article