Prevalence and socioeconomic determinants of development delay among children in Ceará, Brazil: A population-based study
Autoři:
Luciano Lima Correia aff001; Hermano Alexandre Lima Rocha aff002; Christopher Robert Sudfeld aff002; Sabrina Gabriele Maia Oliveira Rocha aff001; Álvaro Jorge Madeiro Leite aff003; Jocileide Sales Campos aff004; Anamaria Cavalcante e Silva aff004
Působiště autorů:
Department of Community Health, Federal University of Ceará, Fortaleza, CE, Brazil
aff001; Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, MA
aff002; Department of Maternal and Child Health, Federal University of Ceará, Fortaleza, CE, Brazil
aff003; ISEC, University Center Unichristus, Fortaleza, CE, Brazil
aff004
Vyšlo v časopise:
PLoS ONE 14(11)
Kategorie:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0215343
Souhrn
Objective
To assess the prevalence of child development delay and to identify socioeconomic determinants.
Study design
We conducted a population-based cross-sectional study of children 2 to 72 months of age residing in the state of Ceará, Brazil. In total, 3200 households were randomly selected for participation in the study and had child development assessed with the Ages and Stages Questionnaire (ASQ) version 3. Development delay was defined as a score of less than -2 standard deviations below the median of the Brazilian ASQ standard. We present population-level prevalence of delay in five development domains and assess socioeconomic determinants.
Results
A total of 3566 children completed the ASQ development assessment of which 9.2% (95% CI: 8.1–10.5) had at least one domain with development delay. The prevalence of delay increased with age in all domains and males were at higher risk for communication, gross motor and personal-social development delays as compared to females (p-values <0.05). We found robust associations of indicators of socioeconomic status with risk of development delay; increasing monthly income and higher social class were associated with reduced risk of delay across all domains (28,2% in the poorest and 21,2% in richest for any delay, p-values <0.05 for all domains). In addition, children in poor households that participated in conditional cash transfer (CCT) programs appeared to have reduced risk of delay as compared to children from households that were eligible, but did not participate, in CCT programs.
Conclusions
There is a relatively high population-level prevalence of development delay in at least one domain among children 0–6 years of age in Ceará, Brazil. Integrated child development, social support, and poverty reduction interventions may reduce the population-level prevalence of development delay in Ceará and similar settings.
Klíčová slova:
Brazil – Census – Child development – Children – Questionnaires – Social communication – Social stratification – Socioeconomic aspects of health
Zdroje
1. Grantham-McGregor S, Cheung YB, Cueto S, Glewwe P, Richter L, Strupp B. Developmental potential in the first 5 years for children in developing countries. The Lancet. 2007;369(9555):60–70. doi: 10.1016/S0140-6736(07)60032-4 17208643
2. Lu C, Black MM, Richter LM. Risk of poor development in young children in low-income and middle-income countries: an estimation and analysis at the global, regional, and country level. The Lancet Global health. 2016;4(12):e916–e22. Epub 2016/10/09. doi: 10.1016/S2214-109X(16)30266-2 27717632; PubMed Central PMCID: PMC5881401.
3. Smith JP. The impact of childhood health on adult labor market outcomes. The review of economics and statistics. 2009;91(3):478–89. doi: 10.1162/rest.91.3.478 23585697
4. Fink G, Peet E, Danaei G, Andrews K, McCoy DC, Sudfeld CR, et al. Schooling and wage income losses due to early-childhood growth faltering in developing countries: national, regional, and global estimates, 2. The American journal of clinical nutrition. 2016;104(1):104–12. doi: 10.3945/ajcn.115.123968 27357091
5. Valla L, Wentzel-Larsen T, Hofoss D, Slinning K. Prevalence of suspected developmental delays in early infancy: results from a regional population-based longitudinal study. BMC Pediatrics. 2015;15(1):215. doi: 10.1186/s12887-015-0528-z 26678149
6. Demirci A, Kartal M. The prevalence of developmental delay among children aged 3–60 months in Izmir, Turkey. Child: Care, Health and Development. 2016;42(2):213–9. doi: 10.1111/cch.12289 26493366
7. Sajedi F, Vameghi R, Kraskian Mujembari A. Prevalence of undetected developmental delays in Iranian children. Child: Care, Health and Development. 2014;40(3):379–88. doi: 10.1111/cch.12042 23461377
8. King TM, Rosenberg LA, Fuddy L, Mcfarlane E, Sia C, Duggan AK. Prevalence and Early Identification of Language Delays Among At-Risk Three Year Olds. Journal of Developmental & Behavioral Pediatrics. 2005;26(4):293–303. 00004703-200508000-00006.
9. Griggs D, Stafford-Smith M, Gaffney O, Rockström J, Öhman MC, Shyamsundar P, et al. Sustainable development goals for people and planet. Nature. 2013;495:305. doi: 10.1038/495305a https://www.nature.com/articles/495305a#supplementary-information. 23518546
10. Correia LL, Rocha HAL, Rocha SGMO, Nascimento LSd, Silva ACe, Campos JS, et al. Methodology of Maternal and Child Health Populational Surveys: A Statewide Cross-sectional Time Series Carried Out in Ceará, Brazil, from 1987 to 2017, with Pooled Data Analysis for Child Stunting. Annals of Global Health. 2019;85(1). http://doi.org/10.5334/aogh.2299.
11. Pathways to Citizen Accountability: Brazil’s Bolsa Família AU—Sugiyama, Natasha Borges. The Journal of Development Studies. 2016;52(8):1192–206. doi: 10.1080/00220388.2015.1134779
12. Social. SEdD. Bolsa família > o que é > acesso a educação e saúde 2019 [cited 2019 19/02/2019]. Available from: http://mds.gov.br/assuntos/bolsa-familia/o-que-e/acesso-a-educacao-e-saude.
13. Squires J, Bricker DD, Twombly E. Ages & stages questionnaires: Paul H. Brookes Baltimore, MD; 2009.
14. Filgueiras A, Landeira-Fernandez J. Adaptação transcultural e avaliação psicométrica do Ages and Stages Questionnaires (ASQ) em creches públicas da cidade do Rio de Janeiro. Psicologia, PUC—Rio Rio de Janeiro: PUC-Rio. 2011.
15. Fioravanti-Bastos ACM, Filgueiras A, Moura MLSd. Evaluation of the Ages and Stages Questionnaire-Brazil by Early Childhood professionals. Estudos de Psicologia (Campinas). 2016;33:293–301.
16. Kamakura W, Mazzon J. Critérios de estratificação e comparação de classificadores socioeconômicos no brasil2016. 55–70 p.
17. Corrêa A, Escarilha R, Sampaio M, Panigassi G, Maranha L, Bergamasio S. Acompanhamento e avaliação da segurança alimentar de famílias brasileiras: validação de metodologia e de instrumento de coleta de informação. Urbano/rural Relatório técnico: versão preliminar Brasília (DF): Ministério da Saúde: Organização Pan-Americana da Saúde. 2004.
18. Filgueiras A, Pires P, Maissonette S, Landeira-Fernandez J. Psychometric properties of the Brazilian-adapted version of the Ages and Stages Questionnaire in public child daycare centers. Early human development. 2013;89(8):561–76. doi: 10.1016/j.earlhumdev.2013.02.005 23507472
19. Janson H, Squires J. Parent‐completed developmental screening in a Norwegian population sample: a comparison with US normative data. Acta paediatrica. 2004;93(11):1525–9. doi: 10.1080/08035250410033051 15513584
20. Veldhuizen S, Clinton J, Rodriguez C, Wade TJ, Cairney J. Concurrent validity of the Ages and Stages Questionnaires and Bayley Developmental Scales in a general population sample. Academic pediatrics. 2015;15(2):231–7. doi: 10.1016/j.acap.2014.08.002 25224137
21. Caminha MdFC, Silva SLd, Lima MdC, Azevedo PTÁCCd, Figueira MCdS, Batista Filho M. Vigilância do desenvolvimento infantil: análise da situação brasileira. Revista Paulista de Pediatria. 2017;35:102–9. doi: 10.1590/1984-0462/;2017;35;1;00009 28977308
22. Halpern R, Barros AJ, Matijasevich A, Santos IS, Victora CG, Barros FC. Developmental status at age 12 months according to birth weight and family income: a comparison of two Brazilian birth cohorts. Cad Saude Publica. 2008;24 Suppl 3:S444–50. Epub 2008/09/18. doi: 10.1590/s0102-311x2008001500010 18797720.
23. Kramer JH, Delis DC, Kaplan E, O'Donnell L, Prifitera A. Developmental sex differences in verbal learning. Neuropsychology. 1997;11(4):577–84. doi: 10.1037/0894-4105.11.4.577 9345701
24. Berglund E, Eriksson M, Westerlund M. Communicative skills in relation to gender, birth order, childcare and socioeconomic status in 18-month-old children. Scandinavian journal of psychology. 2005;46(6):485–91. Epub 2005/11/10. doi: 10.1111/j.1467-9450.2005.00480.x 16277649.
25. Hyde JS, Linn MC. Gender differences in verbal ability: A meta-analysis. Psychological bulletin. 1988;104(1):53.
26. Westerlund M, Lagerberg D. Expressive vocabulary in 18-month-old children in relation to demographic factors, mother and child characteristics, communication style and shared reading. Child: Care, Health & Development. 2008;34(2):257–66. 105870383. Language: English. Entry Date: 20080328. Revision Date: 20150711. Publication Type: Journal Article.
27. Fenson L, Dale PS, Reznick JS, Bates E, Thal DJ, Pethick SJ, et al. Variability in Early Communicative Development. Monographs of the Society for Research in Child Development. 1994;59(5):i–185. doi: 10.2307/1166093
28. Flamant C, Müller J-B, Rozé J-C, Olivier M, Rouger V, Hanf M, et al. Relative contributions of prenatal complications, perinatal characteristics, neonatal morbidities and socio-economic conditions of preterm infants on the occurrence of developmental disorders up to 7 years of age. International Journal of Epidemiology. 2018;48(1):71–82. doi: 10.1093/ije/dyy240 30428050
29. Spessato BC, Gabbard C, Valentini N, Rudisill M. Gender differences in Brazilian children's fundamental movement skill performance. Early Child Development and Care. 2013;183(7):916–23. doi: 10.1080/03004430.2012.689761
30. Aber JL, Bennett NG, Conley DC, Li J. The Effects of Poverty on Child Health and Development. Annual Review of Public Health. 1997;18(1):463–83. doi: 10.1146/annurev.publhealth.18.1.463 9143727.
31. and RHB, Corwyn RF. Socioeconomic Status and Child Development. Annual Review of Psychology. 2002;53(1):371–99. doi: 10.1146/annurev.psych.53.100901.135233 11752490.
32. Blau DM. The effect of income on child development. Review of Economics and Statistics. 1999;81(2):261–76.
33. Brooks-Gunn J, Duncan GJ. The effects of poverty on children. The future of children. 1997:55–71. 9299837
34. McLoyd VC, Wilson L. Maternal behavior, social support, and economic conditions as predictors of distress in children. New Directions for Child and Adolescent Development. 1990;1990(46):49–69. doi: 10.1002/cd.23219904605
35. Duncan GJ, Brooks‐Gunn J. Family poverty, welfare reform, and child development. Child development. 2000;71(1):188–96. doi: 10.1111/1467-8624.00133 10836573
36. J. DG, Jeanne B-G. Family Poverty, Welfare Reform, and Child Development. Child Development. 2000;71(1):188–96. doi: 10.1111/1467-8624.00133 10836573
37. J. DG, Jeanne B-G, Kato KP. Economic Deprivation and Early Childhood Development. Child Development. 1994;65(2):296–318. doi: 10.1111/j.1467-8624.1994.tb00752.x
38. de Walque D, Fernald L, Gertler P, Hidrobo M. Cash Transfers and Child and Adolescent Development. Child and Adolescent Health and Development 3rd edition: The International Bank for Reconstruction and Development/The World Bank; 2017.
39. Pega F, Liu SY, Walter S, Pabayo R, Saith R, Lhachimi SK. Unconditional cash transfers for reducing poverty and vulnerabilities: effect on use of health services and health outcomes in low‐ and middle‐income countries. Cochrane Database of Systematic Reviews. 2017;(11). doi: 10.1002/14651858.CD011135.pub2 CD011135. 29139110
Článek vyšel v časopise
PLOS One
2019 Číslo 11
- Tisícileté topoly, mokří psi, stárnoucí kočky a ospalé octomilky – „jednohubky“ z výzkumu 2024/41
- Jaké jsou aktuální trendy v léčbě karcinomu slinivky?
- Může hubnutí souviset s vyšším rizikem nádorových onemocnění?
- Menstruační krev má značný diagnostický potenciál, mimo jiné u diabetu
- Metamizol jako analgetikum první volby: kdy, pro koho, jak a proč?
Nejčtenější v tomto čísle
- A daily diary study on maladaptive daydreaming, mind wandering, and sleep disturbances: Examining within-person and between-persons relations
- A 3’ UTR SNP rs885863, a cis-eQTL for the circadian gene VIPR2 and lincRNA 689, is associated with opioid addiction
- A substitution mutation in a conserved domain of mammalian acetate-dependent acetyl CoA synthetase 2 results in destabilized protein and impaired HIF-2 signaling
- Molecular validation of clinical Pantoea isolates identified by MALDI-TOF
Zvyšte si kvalifikaci online z pohodlí domova
Všechny kurzy