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Burden and risk factors for antenatal depression and its effect on preterm birth in South Asia: A population-based cohort study.
Khanam, Rasheda; Applegate, Jennifer; Nisar, Imran; Dutta, Arup; Rahman, Sayedur; Nizar, Ambreen; Ali, Said Mohammed; Chowdhury, Nabidul Haque; Begum, Farzana; Dhingra, Usha; Tofail, Fahmida; Mehmood, Usma; Deb, Saikat; Ahmed, Salahuddin; Muhammad, Sajid; Das, Sayan; Ahmed, Saifuddin; Mittal, Harshita; Minckas, Nicole; Yoshida, Sachiyo; Bahl, Rajiv; Jehan, Fyezah; Sazawal, Sunil; Baqui, Abdullah H.
Afiliación
  • Khanam R; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
  • Applegate J; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
  • Nisar I; Aga Khan University, Department of Paediatrics and Child Health, Karachi, Sindh, Pakistan.
  • Dutta A; Center for Public Health Kinetics, Global Division, New Delhi, India.
  • Rahman S; Projahnmo Research Foundation, Abanti, Banani, Dhaka, Bangladesh.
  • Nizar A; Aga Khan University, Department of Paediatrics and Child Health, Karachi, Sindh, Pakistan.
  • Ali SM; Public Health Laboratory-IDC, Chake Chake, Pemba, Tanzania.
  • Chowdhury NH; Projahnmo Research Foundation, Abanti, Banani, Dhaka, Bangladesh.
  • Begum F; Aga Khan University, Department of Paediatrics and Child Health, Karachi, Sindh, Pakistan.
  • Dhingra U; Center for Public Health Kinetics, Global Division, New Delhi, India.
  • Tofail F; International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
  • Mehmood U; Aga Khan University, Department of Paediatrics and Child Health, Karachi, Sindh, Pakistan.
  • Deb S; Center for Public Health Kinetics, Global Division, New Delhi, India.
  • Ahmed S; Public Health Laboratory-IDC, Chake Chake, Pemba, Tanzania.
  • Muhammad S; Projahnmo Research Foundation, Abanti, Banani, Dhaka, Bangladesh.
  • Das S; Aga Khan University, Department of Paediatrics and Child Health, Karachi, Sindh, Pakistan.
  • Ahmed S; Center for Public Health Kinetics, Global Division, New Delhi, India.
  • Mittal H; Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
  • Minckas N; Center for Public Health Kinetics, Global Division, New Delhi, India.
  • Yoshida S; World Health Organization (MCA/MRD), Geneva, Switzerland.
  • Bahl R; World Health Organization (MCA/MRD), Geneva, Switzerland.
  • Jehan F; World Health Organization (MCA/MRD), Geneva, Switzerland.
  • Sazawal S; Aga Khan University, Department of Paediatrics and Child Health, Karachi, Sindh, Pakistan.
  • Baqui AH; Center for Public Health Kinetics, Global Division, New Delhi, India.
PLoS One ; 17(2): e0263091, 2022.
Article en En | MEDLINE | ID: mdl-35130270
ABSTRACT

INTRODUCTION:

Women experience high rates of depression, particularly during pregnancy and the postpartum periods. Using population-based data from Bangladesh and Pakistan, we estimated the burden of antenatal depression, its risk factors, and its effect on preterm birth.

METHODS:

The study uses the following data maternal depression measured between 24 and 28 weeks of gestation using the 9-question Patient Health Questionnaire (PHQ-9); data on pregnancy including an ultrasound before 19 weeks of gestation; data on pregnancy outcomes; and data on woman's age, education, parity, weight, height, history of previous illness, prior miscarriage, stillbirth, husband's education, and household socioeconomic data collected during early pregnancy. Using PHQ-9 cutoff score of ≥12, women were categorized into none to mild depression or moderate to moderately severe depression. Using ultrasound data, preterm birth was defined as babies born <37 weeks of gestation. To identify risk ratios (RR) for antenatal depression, unadjusted and adjusted RR and 95% confidence intervals (CI) were calculated using log- binomial model. Log-binomial models were also used for determining the effect of antenatal depression on preterm birth adjusting for potential confounders. Data were analyzed using Stata version 16 (StataCorp LP).

RESULTS:

About 6% of the women reported moderate to moderately severe depressive symptoms during the antenatal period. A parity of ≥2 and the highest household wealth status were associated with an increased risk of depression. The overall incidence of preterm birth was 13.4%. Maternal antenatal depression was significantly associated with the risk of preterm birth (ARR, 95% CI 1.34, 1.02-1.74).

CONCLUSION:

The increased risk of preterm birth in women with antenatal depression in conjunction with other significant risk factors suggests that depression likely occurs within a constellation of other risk factors. Thus, to effectively address the burden of preterm birth, programs require developing and providing integrated care addressing multiple risk factors.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Resultado del Embarazo / Nacimiento Prematuro / Depresión Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Newborn / Pregnancy País/Región como asunto: Asia Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Resultado del Embarazo / Nacimiento Prematuro / Depresión Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Newborn / Pregnancy País/Región como asunto: Asia Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos