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1.
Eur J Clin Nutr ; 73(5): 733-742, 2019 05.
Artigo em Inglês | MEDLINE | ID: mdl-29934512

RESUMO

BACKGROUND/OBJECTIVES: To estimate the risks of term-small for gestational age (SGA), preterm-appropriate for gestational age (AGA), and preterm SGA associated with maternal height and body mass index (BMI) and to calculate the population attributable fractions (PAF) of term SGA, preterm AGA, and preterm SGA associated with maternal short stature. SUBJECTS/METHODS: A population-based cohort of 13,230 women with pre-pregnancy height and weight followed from 2012 to 2016 in Sylhet, Bangladesh. We analyzed data of 2655 singleton live born infants. The babies born <37 weeks of gestation were considered preterm and weight <10th percentile of Intergrowth sex-specific gestational age were considered SGA. Risk factors for term SGA, preterm AGA, and preterm SGA were examined using multinomial logistic regression that estimated relative risk ratios (RRR) and 95% confidence intervals (CI). RESULTS: Maternal short stature <145 cm was significantly associated with term SGA (RRR 1.88, 95% CI 1.37, 2.58; p < 0.001), preterm AGA (RRR 1.45, 95% CI 1.02, 2.05; p < 0.05), and preterm SGA (RRR 14.40, 95% CI 1.82, 113.85; p < 0.05). Maternal underweight status (BMI < 18.5 kg/m2) was significant predictor of term SGA (RRR 1.32, 95% CI 1.10, 1.59; p < 0.01), and preterm AGA (RRR 1.39, 95% CI 1.12, 1.71; p < 0.01). PAF for maternal short stature were 23.2, 7.3, and 73.9% for term SGA, preterm AGA, and preterm SGA, respectively. CONCLUSIONS: To address the problem of undernutrition, Bangladesh needs to strengthen implementation of its multi-sectoral nutrition program comprising nutrition specific and sensitive interventions. Implementation of the program with high coverage and quality would improve maternal nutrition and perinatal outcomes including preterm births and SGA.


Assuntos
Recém-Nascido Pequeno para a Idade Gestacional , Mães , Nascimento Prematuro/epidemiologia , Bangladesh/epidemiologia , Estatura , Estudos de Coortes , Feminino , Humanos , Gravidez , Nascimento Prematuro/etiologia , Cuidado Pré-Natal , Fatores de Risco , População Rural , Magreza
2.
Lancet ; 367(9507): 327-32, 2006 Jan 28.
Artigo em Inglês | MEDLINE | ID: mdl-16443040

RESUMO

BACKGROUND: Few studies have assessed whether the poorest people in developing countries benefit from giving birth at home rather than in a facility. We analysed whether socioeconomic status results in differences in the use of professional midwives at home and in a basic obstetric facility in a rural area of Bangladesh, where obstetric care was free of charge. METHODS: We routinely obtained data from Matlab, Bangladesh between 1987 and 2001. We compared the benefits of home-based and facility-based obstetric care using a multinomial logistic and binomial log link regression, controlling for multiple confounders. FINDINGS: Whether or not a midwife was used at home or in a facility differed significantly with wealth (adjusted odds ratio comparing the wealthiest and poorest quintiles 1.94 [95% CI 1.69-2.24] for home-based care, and 2.05 [1.72-2.43] for facility-based care). The gap between rich and poor widened after the introduction of facility-based care in 1996. The risk ratio (RR) between the wealthiest and poorest quintiles was 1.91 (adjusted RR 1.49 [95% CI 1.16-1.91] when most births with a midwife took place at home compared with 2.71 (1.66 [1.41-1.96]) at the peak of facility-based care. INTERPRETATION: In this area of Bangladesh, a shift from home-based to facility-based basic obstetric care is feasible but might lead to increased inequities in access to health care. However, there is also evidence of substantial inequities in home births. Before developing countries reinforce home-based births with a skilled attendant, research is needed to compare the feasibility, cost, effectiveness, acceptability, and implications for health-care equity in both approaches.


Assuntos
Parto Domiciliar/estatística & dados numéricos , Tocologia/estatística & dados numéricos , Classe Social , Adulto , Bangladesh , Feminino , Humanos , Modelos Logísticos , Serviços de Saúde Materna/organização & administração , Serviços de Saúde Materna/estatística & dados numéricos , Prontuários Médicos , Tocologia/educação , Pobreza , Gravidez , Cuidado Pré-Natal , População Rural
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