Low birth weight in offspring of women with depressive and anxiety symptoms during pregnancy: results from a population based study in Bangladesh
© Nasreen et al; licensee BioMed Central Ltd. 2010
Received: 31 March 2010
Accepted: 26 August 2010
Published: 26 August 2010
There is a high prevalence of antepartum depression and low birth weight (LBW) in Bangladesh. In high- and low-income countries, prior evidence linking maternal depressive and anxiety symptoms with infant LBW is conflicting. There is no research on the association between maternal mental disorders and LBW in Bangladesh. This study aims to investigate the independent effect of maternal antepartum depressive and anxiety symptoms on infant LBW among women in a rural district of Bangladesh.
A population-based sample of 720 pregnant women from two rural subdistricts was assessed for symptoms of antepartum depression, using the Edinburgh Postpartum Depression Scale (EPDS), and antepartum anxiety, using the State Trait Anxiety Inventory (STAI), and followed for 6-8 months postpartum. Infant birth weight of 583 (81%) singleton live babies born at term (≥37 weeks of pregnancy) was measured within 48 hours of delivery. Baseline data provided socioeconomic, anthropometric, reproductive, obstetric, and social support information. Trained female interviewers carried out structured interviews. Chi-square, Fisher's exact, and independent-sample t tests were done as descriptive statistics, and a multiple logistic regression model was used to identify predictors of LBW.
After adjusting for potential confounders, depressive (OR = 2.24; 95% CI 1.37-3.68) and anxiety (OR = 2.08; 95% CI 1.30-3.25) symptoms were significantly associated with LBW (≤2.5 kg). Poverty, maternal malnutrition, and support during pregnancy were also associated with LBW.
This study provides evidence that maternal depressive and anxiety symptoms during pregnancy predict the LBW of newborns and replicates results found in other South Asian countries. Policies aimed at the detection and effective management of depressive and anxiety symptoms during pregnancy may reduce the burden on mothers and also act as an important measure in the prevention of LBW among offspring in Bangladesh.
Birth weight is generally used as a yardstick of intrauterine growth and as an important determinant of child survival and development . Low birth weight (LBW) (<2500 g) remains a major problem in low-income countries affecting over 90% of the world's total infants . LBW is associated with increased risk of infant mortality and morbidity . In addition, there is an increased risk of neurodevelopmental outcome , cardiovascular disease , diabetes , emotional problems , and psychotic illness  in later life.
In past decades, there have been conjectures regarding the potential etiologic association of psychosocial factors, and particularly depressive symptoms, with LBW . Conceptual models linking exposure to antepartum psychological stress have hypothesized on possible direct and indirect effects on LBW. There is some evidence supporting the direct effects of the psychoneuroendocrine process on poor neonatal outcome, especially birth weight [9, 10]. Impaired mental health has also been associated with unhealthy maternal antenatal behavior including reduced attendance for antenatal care, increased substance use, and lower weight gain in pregnancy , which in turn has led to an increased likelihood of LBW . Despite these vulnerabilities, the evidence linking maternal depressive and anxiety symptoms with infant LBW is conflicting. Studies from India , Pakistan , and Brazil  found an association between antepartum mental disorders and LBW. Studies from the United States , Sweden , China , and Ethiopia  have shown no significant association between LBW and maternal depressive symptoms. In high-income countries, positive associations between antepartum mental disorder and LBW have been reported in studies of disadvantaged populations  where socioeconomic status acts as an effect modifier. The comparability of study results is complicated, however, by the diversity of definitions, the measurement of prenatal maternal depressive symptoms, and the time points of assessment. The research in South Asia did not address the association between anxiety during pregnancy and LBW, but the strong correlation between anxiety and depressive measures suggests anxiety and depression should be examined concurrently . In order to confirm the evidence from South Asia, the research needed to be replicated in other countries of South Asia, one of them being Bangladesh, where the estimated point prevalence of antepartum depression is as high as 33%  and LBW 36% .
Every year in Bangladesh, more than one million babies are born with LBW . This causes great concern because of the strong association between LBW and child mortality and morbidity . The neonatal mortality rate is 41-42 per thousand live births . The determinants of the high prevalence of LBW are poorly understood. Determinants identified thus far are related to poverty, maternal nutritional status, and obstetric factors . Despite substantial improvement in the poverty and health situation in Bangladesh, the state of LBW and neonatal mortality has remained static over the period. One explanation might be the recently reported high frequency of depressive symptoms in pregnant women. In this prospective community-based study, we addressed this shortcoming by examining the association between depressive and anxiety symptoms during the third trimester of pregnancy and LBW babies at term among rural women in Bangladesh.
This is part of a prospective longitudinal study of perinatal depressive and anxiety symptoms among women in two subdistricts of the Mymensingh district (120 km north of the capital city, Dhaka) of Bangladesh. As is typical of rural Bangladesh, the economy in the study area is agrarian, and approximately 50% of the population lives below the poverty level. The majority of women are involved in household work and childcare. A national nongovernment development organization, the Bangladesh Rural Advancement Committee (BRAC) provides a variety of services in the area for social and economic development. The BRAC health program provides preventive health and nutritional education, immunization, family planning, pregnancy and reproductive-health care, and basic curative services. BRAC community health volunteers identify pregnancies during the first trimester, estimate the gestational age (based on the last menstrual period reported by the women), confirm pregnancies at 4-5 months, and register them.
Study design and populations
The pregnancy registration system maintained by BRAC provided the sampling frame. The gestational age recorded in the register was verified by the interviewers during data collection. A cohort of 720 consecutive women was studied from the third trimester of pregnancy to 6-8 months postpartum. With an average population of 1250 persons per village in Bangladesh and a delivery rate of 3%, 37 women were expected to give birth in each village per year. Therefore, 154 villages were needed from 10 randomly selected unions to obtain the required sample. Assuming an estimated prevalence of depression of 20% in India  and Pakistan  (no prevalence figure was available for Bangladesh when the study was initiated), the study was designed with a precision of 0.05, power of 0.80, and an effect size of 0.40 to detect the difference between depressed and non-depressed women.
Data was collected from July 2008 to August 2009. Data at baseline (third trimester pregnancy) included socioeconomic conditions and the women's anthropometric status, reproductive health, social support, exposure to violence, anxiety, and depressive symptoms. Birth data were collected through structured interviews by trained female interviewers in the homes of the women upon their recovery from labor as a majority of deliveries (85%) occurred at home. The time periods varied between 2 to 48 hours following delivery. In hospital delivery cases, birth data were taken from the hospital records. A broad array of obstetric outcomes was assessed: length of pregnancy, mode and place of delivery, complications during labor, live or still birth, and birth weight, height, and head circumference of the newborn.
Assessment of antepartum depressive symptoms
The Edinburgh Postnatal Depressive Scale (EPDS)  was used to detect depressive symptoms during pregnancy. The EPDS is a 10-item questionnaire, scored from 0 to 3 (normal response 0 and severe response 3), that has been validated for the detection of depression in antepartum and postpartum samples in many countries . The instrument has been validated for Bangladesh, which showed a sensitivity of 89%, a specificity of 87%, a positive predictive value of 40%, and a negative predictive value of 99% . The cutoff score suggested by Gausia  was used to categorize depressed (score ≥10) and non-depressed (score <10) states. The scale shows good reliability in the present study with a Cronbach's alpha of 0.87 for the assessment of antepartum depressive symptoms.
Assessment of antepartum anxiety symptoms
From the State Trait Anxiety Inventory (STAI)  we used the trait-anxiety scale consisting of 20 items scored from 1 to 4. STAI assesses anxiety levels in general during pregnancy in feelings of pleasure, nervousness, restlessness, satisfaction, happiness, and so on. STAI is a reliable and valid measure that can be used in both clinical and general populations . The cutoff score of 46 (75th percentile) was used to categorize anxious (score ≥46) or non-anxious (score <46) states. STAI demonstrated good internal consistency in the present study with a Cronbach's alpha of 0.82 for antenatal assessment.
Assessment of socioeconomic, anthropometric, reproductive, obstetric, and social support status
The age of the mother was calculated in years. Socioeconomic status was indicated by parental education (years of completed schooling) and the economic status of the household. Two measures were used to assess household economy: landholding of the household and per capita daily household expenditure on food. Poor household economic status was assessed if the household owned <50 decimals of land or if the per capita daily household expenditure on food was less than the median in Bangladeshi taka of BDT 31.25 (USD 0.45). The anthropometric indicators of the pregnant women used in the study were mean weight (kg), mean maternal body mass index (BMI) [weight (kg)/height (m)2], and mean mid upper arm circumference (MUAC) (cm). The precise position of the arm measurement was at the midpoint between the tip of the acromion and the olecranon processes in the left upper arm to the nearest 0.1 cm. BMI was measured during pregnancy, however, so we must assume it to be over-reported; thus, MUAC was seen as a proxy indicator of the nutritional status of the women. Reproductive indicators included the number of children and antenatal consultations provided by health personnel. Social support was measured by family structure, such as living in a nuclear family or extended family, physical and psychological support (coming from family members, friends, or health professionals), and physical violence (being slapped/dragged/subjected to thrown objects) at any time in life or during pregnancy.
For the purposes of analysis, the explanatory variables were dichotomized. Maternal age was expressed as ≤20 years vs. 21 years or older; parental education as ≤5 years of education of each parent vs. >5 years of education; household economic status as poor vs. nonpoor; MUAC as <22 cm vs. ≥22 cm ; number of children as ≥4 children vs. <4 children (families with ≥4 children in low-income countries were assumed to cause financial crisis and overcrowding); antenatal consultation as having been provided at least one vs. none; family structure as living in a nuclear family vs. living in an extended family; physical and psychological support as support received vs. no support received during pregnancy; and physical violence experienced as yes vs. no.
Assessment of obstetric outcome
Obstetric outcome was measured during delivery in terms of complicated labor (if any complication arose during delivery) and mode of delivery (instrumental by cesarean section or normal vaginal delivery), birth weight (kg), and head circumference (mm) of the newborn. We did not consider smaller head circumferences (<2 standard deviation of mean) as a dependent variable as it was strongly correlated with LBW (r = 0.560, p = 0.000).
Assessment of birth weight
Infant birth weight was measured to the nearest 0.1 kg within 48 hours of birth by trained interviewers using a portable digital Salter bathroom scale (Japan). The mother was requested to hold the baby while being weighed, and the baby's weight was calculated by subtracting the mother's weight from the sum weight of mother and baby. The standard cutoff for LBW is 2500 grams or less , and this was termed the dependent variable.
We first compared depressed vs. non-depressed and anxious vs. non-anxious women by their socioeconomic, anthropometric, obstetric, and pregnancy outcome indicators using chi-square or Fisher's exact test. An independent samples t test was used to compare means between depressed vs. non-depressed and anxious vs. non-anxious groups. Univariate logistic regression analyses were carried out to identify possible predictors with a 95% confidence interval (p < 0.05) of being associated with LBW (≤2500 g). Adjusted odds ratios for all variables that were significantly associated with LBW were computed using a multiple logistic regression model for controlling the simultaneous confounding effects of possible predictors. Model I shows the role of antepartum depressive symptoms and Model II shows anxiety symptoms as predictors of LBW. Any violations of the assumptions were observed by examining the interaction between explanatory variables and outliers in the model.
The study was approved by the Bangladesh Medical Research Council (Ref. no. BMRC/Eth. C/2008/402) in Bangladesh and the Regional Ethical Review Board at Karolinska Institutet, Stockholm, Sweden (Ref. no. 2008/919-31). Detailed information about the study was provided verbally to the potential participants. The interviews were conducted after informed consent was obtained. Strict confidentiality was maintained about the identity of the respondents. If a woman scored more than16 on the EPDS during the study, we advised her to consult the psychiatric department of the nearby Mymensingh Medical College Hospital.
Description of the study sample by maternal antepartum depression and anxiety status (N = 583)
Depressed N = 107
Non-depressed N = 476
Anxious N = 149
Non-anxious N = 434
Mean age ± SD
26.7 ± 6.9
24.1 ± 5.7
25.4 ± 6.4
24.3 ± 5.9
Mean years of schooling ± SD
3.01 ± 3.3
3.9 ± 3.6
2.8 ± 3.2
4.0 ± 3.6
Land (<50 decimal) (%)
Per capita daily household expenditure on food (<median*) (%)
Weight ± SD (kg)
46.3 ± 5.6
48.3 ± 6.9
46.4 ± 5.7
48.5 ± 7.1
BMI ± SD
21.0 ± 2.1
21.4 ± 2.7
20.9 ± 2.0
21.4 ± 2.8
MUAC ± SD (cm)
23.1 ± 1.9
23.4 ± 2.4
22.9 ± 2.0
23.1 ± 2.4
Complicated labor (%)
Instrumental delivery (%)
EPDS mean score (± SD)
12.3 ± 2.8
5.0 ± 2.4
STAI mean score (± SD)
50.2 ± 4.6
37.8 ± 4.6
Birth outcome by maternal antepartum depressive and anxiety symptoms (N = 583)
Depressed N = 107
Non-depressed N = 476
Anxious N = 149
Non-anxious N = 434
LBW (≤2.5 kg) (%)
Infant birth weight (kg, mean ± SD)
2.8 ± 0.5
2.9 ± 0.4
2.8 ± 0.5
2.9 ± 0.4
Gestational age at delivery (weeks, mean ± SD)
40.1 ± 1.5
40.0 ± 1.3
40.1 ± 1.4
40.0 ± 1.3
Head circumference (mm, mean ± SD)
33.7 ± 1.5
34.1 ± 1.4
33.8 ± 1.5
34.1 ± 1.4
Association of newborn low birth weight with maternal antepartum depressive/anxiety symptoms and other factors (N = 583)
Normal birth weight n = 475 (%)
Low birth weight n = 108 (%)
Unadjusted OR (95% CI)
Antepartum depressive symptoms
Antepartum anxiety symptoms
Mother's age ≤20 years
Land (<50 decimal)
Per capita food expenditure (<Md BDT.31.25)
Maternal malnutrition (mother's MUAC <22 cm)
Four or more siblings
At least one antenatal consultation
Psychological support during pregnancy
Physical support during pregnancy
Living in a joint family
Physical violence: slapped, dragged, or subjected to thrown objects
Physical violence during pregnancy
Final logistic regression model of depressive and anxiety symptoms during pregnancy on LBW
Poor household economic status (land <50 decimal)
Maternal malnutrition (mother's MUAC <22 cm)
Emotional support during pregnancy
Depressive symptoms during pregnancy
Anxiety symptoms during pregnancy
This study revealed that women with depressive and anxiety symptoms in the third trimester of pregnancy exhibit an increased likelihood of giving birth to LBW infants in Bangladesh. This association is independent of the effects of poverty, maternal nutritional status, and support during pregnancy. This is consistent with previous research from other South Asian countries documenting that women who exhibit elevated depressive symptoms during pregnancy are at increased risk for delivering LBW infants [13, 14]. Evidence from high-income countries is mixed, with negative associations in Sweden , Norway , and the United States ; a positive association may be apparent only under circumstances of socioeconomic adversity in the United States . Negative association is also reported from sub-Saharan Africa  where the prevalence of LBW is as high as in the South Asian region. However, it is too early to determine whether there is an etiological heterogeneity across these settings because of the different cultures, health-care systems, and maternal and child health profiles. As none of the depressed women used any antidepressants in the third trimester, the antidepressants are unlikely to have any impact on LBW in this study.
The high prevalence of LBW (24%-36%) in Bangladesh [23, 34, 35] is one of the main causes of infant morbidity and mortality, and many studies have shown maternal nutrition to be an important predictor of LBW in low-income countries [1, 36, 37]. This study shows that maternal antepartum depression and anxiety are independent predictors of LBW irrespective of poor maternal nutritional status. Poor maternal nutritional status, the principal cause of LBW in low-income countries , is not necessarily a result of poverty but of maternal mental disorders such as antepartum depression and anxiety, even in the food-sufficient regions of rural Bangladesh. Similar situations have been observed in Pakistan , and the current study provides further evidence for the "Asian enigma" referred to in Rahman et al. .
Hoffman and Hatch  pointed out a possible association between antepartum depressive symptoms at 28 weeks of gestation and retardation of fetal growth among women of disadvantaged social groups, raising questions as to whether having a poorer socioeconomic status is a vulnerable factor per se. This study found that poverty, indicated here by economic status of household, is a potential explanatory variable of LBW. In impoverished communities, poverty is assumed to play the major role in determining LBW, associating low income with inadequate antenatal care and lower antenatal maternal weight .
Our finding of an independent and negative association between support during pregnancy (through joint family structure and psychological support) and the birth weight of the infant is a new result in a low-income South Asian country. It may be speculated that support during pregnancy alters the stress-induced hypothalamic-pituitary axis  that suppresses maternal cortisol levels, thereby restoring fetal automatic nervous system activities, reducing vascular constriction, and potentiating the uterine artery blood flow that carries oxygen and nutrients to the fetus. Previous studies by Lee et al.  and Hodnett and Frederick  on the impact of social support have shown conflicting results. Lee et al.  hypothesized that this kind of support helps the disadvantaged women by empowering them and improving their ability to be more engaged in self-care and antenatal care.
In South Asian countries, including Bangladesh, women are exposed to various socioeconomic, social, and family life stressors, which contribute significantly to maternal depressive and anxiety symptoms [22, 43]. A women's life-course perspective proposes that the life stressors are not only linked with mental health disorders , but also to poor birth outcome and particularly LBW. Infants are likely to continue the cycle by being stunted in adulthood through cumulative pathways. This cumulative mechanism posits that stressors accumulating at different stages in the life of a woman lead to intrauterine growth retardation and LBW in her newborn, which in turn may lead to impaired mental development in infanthood, reduced intellectual potentials in childhood, depression in adolescence, and mental disorders in adulthood and later life .
This study has a number of strengths, including a community-based population from a defined geographical rural area in Bangladesh, a prospective design with minimal loss to follow-up, the measurement of maternal depression using a locally validated EPDS, and an analysis restricted to babies born at term to distinguish the risk factors of intrauterine growth restriction from those of preterm births. This restriction of the final sample to full-term deliveries may have resulted in the lack of difference in gestational age between depressed/anxious women and non-depressed/non-anxious women. The study was conducted in two subdistricts of rural Bangladesh and does not represent the urban scenario. Although the findings cannot be generalized even to other rural areas of the country, the community-based sample is likely to be indicative of the situation among rural women. Limitations of the study include the inability to control for several important variables such as anemia, weight gain during pregnancy, physical ill-health (diabetes/hypertension), and smoking (although smoking was uncommon among the women of our study population).
This population-based study in rural Bangladesh found an independent association between maternal depressive and anxiety symptoms in the third trimester of pregnancy and infant LBW over and above the well-established risk factors of poverty and maternal malnutrition. The pattern of exposure associated with LBW in the final, adjusted model largely accords with that reported from the other South Asian countries. The reduction of LBW at term is an important indicator of the internationally agreed Millennium Development Goals for reducing child mortality and is a key indicator of progress. Our study indicates that, in order to achieve this goal, maternal depressive and anxiety symptoms during pregnancy need to be addressed. Policies aimed at the detection and effective management of depressive and anxiety symptoms during pregnancy cannot only reduce the burden on mothers but is an important preventive action for both LBW and the physical and mental health of offspring.
low birth weight
Bangladesh Rural Advancement Committee
Edinburgh Postnatal Depressive Scale
State Trait Anxiety Inventory
body mass index
mid upper arm circumference
The study was supported by grants from the Swedish Research Link (2007-25292-51983-33) and the European Commission (BD/ASIA-Link/ASIE/2006/144-465) to the Karolinska Institute and the School of Public Health at BRAC University. We appreciate the help of BRAC in Bangladesh in carrying out the study. We would also like to express our thanks to the women who participated in the study for generously giving their time and energy to complete the interviews.
- Valero de Bernabé J, Soriano T, Albaladejo R, Juarranz M, Calle ME, Martínez D, Domínguez-Rojas V: Risk factor for low birth weight: a review. Eur J Obstet Gynecol. 2004, 116: 3-15. 10.1016/j.ejogrb.2004.03.007.View ArticleGoogle Scholar
- UNICEF and WHO: Country, regional and global estimates. 2004, New York; UNICEFGoogle Scholar
- Leitner Y, Fattat-Valevski A, Geva R, Toledano-Alhadef H, Rotstein M, Bassan H, Radianu B, Bitchonsky O, Jaffa AJ, Harel S: Neurodevelopmental outcome of children with intrauterine growth retardation: a longitudinal, 10-year prospective study. J Child Neurol. 2007, 22 (5): 580-587. 10.1177/0883073807302605.View ArticlePubMedGoogle Scholar
- Alexander BT: Fetal programming of hypertension. Am J Physiol. 2006, 290 (1): R1-R10.Google Scholar
- Martin-Gronert MS, Ozanne SE: Experimental IUGR and later diabetes. J Int Med. 2007, 261 (5): 437-452. 10.1111/j.1365-2796.2007.01800.x.View ArticleGoogle Scholar
- Berle JØ, Mykletun A, Daltveit AK, Rasmussen S, Dahl AA: Outcomes in adulthood for children with fetal growth retardation: a linkage study from the Nord-Trondelag Health Study (HUNT) and the Medical Birth Registry of Norway. Acta Psychiatr Scand. 2006, 113 (6): 501-509. 10.1111/j.1600-0447.2005.00704.x.View ArticlePubMedGoogle Scholar
- Cannon M, Jones PB, Murray RM: Obstetric complications and schizophrenia: historical and meta-analytic review. Am J Psychiatry. 2002, 159 (7): 1080-1092. 10.1176/appi.ajp.159.7.1080.View ArticlePubMedGoogle Scholar
- Judith A, Fink N, Bitzer J, Hösli I, Holzgreve W: Depression and anxiety during pregnancy: a risk factor for obstetric, fetal and neonatal outcome? A critical review of the literature. J Maternal-Fetal Neonatal Med. 2007, 20 (3): 189-209. 10.1080/14767050701209560.View ArticleGoogle Scholar
- Field T, Diego M, Dieter J, Hernandez-Reif M, Schanberg S, Kuhn C, Gonzalez-Quintero VH: Prenatal depression effects on the fetus and the newborn. Infant Behav Dev. 2004, 27 (2): 216-229. 10.1016/j.infbeh.2003.09.010.View ArticleGoogle Scholar
- Oberlander TF, Warburton W, Misri S, Aghajanian J, Hertzman C: Neonatal outcomes after prenatal exposure to selective serotonin reuptake inhibitor anti-depressants and maternal depression using population based linked health data. Arch Gen Psychiatry. 2006, 63 (8): 898-906. 10.1001/archpsyc.63.8.898.View ArticlePubMedGoogle Scholar
- Dayan J, Creveuil C, Herlicoviez M, Herbel C, Baranger E, Savoye C, Thouin A: Role of anxiety and depression in the onset of spontaneous preterm labor. Am J Epidemiol. 2002, 155 (4): 293-301. 10.1093/aje/155.4.293.View ArticlePubMedGoogle Scholar
- Bonari L, Pinto N, Ahn E, Einarson A, Steiner M, Koren G: Perinatal risks of untreated depression during pregnancy. Can J Psychiatry. 2004, 49 (11): 726-735.PubMedGoogle Scholar
- Patel V, Prince M: Maternal psychological morbidity and low birth weight in India. Br J Psychiatry. 2006, 188: 284-285. 10.1192/bjp.bp.105.012096.View ArticlePubMedGoogle Scholar
- Rahman A, Bunn J, Lovel H, Creed F: Association between antenatal depression and low birthweight in a developing country. Acta Psychiatr Scand. 2007, 115: 481-486. 10.1111/j.1600-0447.2006.00950.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Ferri CP, Mitsuhiro SS, Barros MCM, Chalem E, Guinsburg R, Patel V, Prince M, Laranjeira R: The impact of maternal experience of violence and common mental disorders on neonatal outcomes: a survey of adolescent mothers in Sao Paulo, Brazil. BMC Publ Health. 2007, 7: 209-10.1186/1471-2458-7-209.View ArticleGoogle Scholar
- Suri R, Altshuler L, Hellemann G, Burt VK, Aquino A, Mintz J: Effect of antepratum depression and antidepressant treatment on gestational age at birth and risk of preterm birth. Am J Psychiatry. 2007, 164: 1206-1213. 10.1176/appi.ajp.2007.06071172.View ArticlePubMedGoogle Scholar
- Andersson L, Sundström-Poromaa I, Wulff M, Åström M, Bixo M: Neonatal outcome following maternal antepartum depression and anxiety: a population-based study. Am J Epidemiol. 2004, 159 (9): 872-881. 10.1093/aje/kwh122.View ArticlePubMedGoogle Scholar
- Chung KH, Lau K, Yip ASK, Chiu FK, Lee TS: Antepartum depressive symptomatology is associated with adverse obstetric and neonatal outcomes. Psychosom Med. 2001, 63 (5): 830-834.View ArticlePubMedGoogle Scholar
- Hanlon C, Medhin G, Alem A, Tesfaye F, Lakew Z, Worku B, Dewen M, Araya M, Abdulahi A, Hughes M, Tomlinson M, Patel V, Prince M: Impact of antenatal common mental disorders upon perinatal outcome in Ethiopia: the P-MaMiE population based cohort study. Tropical Med Int Health. 2009, 14 (2): 156-166. 10.1111/j.1365-3156.2008.02198.x.View ArticleGoogle Scholar
- Diego MA, Field T, Hernandez-Reif M, Schanberg S, Kuhn C, Gonzalez-Quintero VH: Prenatal depression restricts fetal growth. Early Hum Dev. 2008Google Scholar
- Watson D, Kendall PC: Understanding anxiety and depression: their relation to negative and positive affective states. Anxiety and depression: distinctive and overlapping features. Edited by: Kendall PC, Watson D. 1989, San Diego: Academic, 3-26.Google Scholar
- Gausia K, Fisher C, Ali M, Oosthuizen J: Antenatal depression and suicidal ideation among rural Bangladeshi women: a community-based study. Arch Women Ment Health. 2009, 12 (5): 351-358. 10.1007/s00737-009-0080-7.View ArticleGoogle Scholar
- Khatun S, Rahman M: Socioeconomic determinants of low birth weight in Bangladesh: a multivariate approach. Bangladesh Med Res Counc Bull. 2008, 34 (3): 81-86.PubMedGoogle Scholar
- Ahmed FU, Karim E, Bhuiyan SN: Mid-arm circumference at birth as predictor of low birth weight and neonatal mortality. J Biosoc Sci. 2000, 32 (4): 487-493. 10.1017/S0021932000004879.View ArticlePubMedGoogle Scholar
- NIPORT: Bangladesh Demographic and Health Survey 2004. 2005, National Institute of Population Research and Training. Dhaka: Mitra and AssociatesGoogle Scholar
- Patel V, DeSouza N, Rodrigues M: Postnatal depression and infant growth and development in low income countries: a cohort study from Goa, India. Arch Dis Child. 2003, 88 (1): 34-37. 10.1136/adc.88.1.34.View ArticlePubMedPubMed CentralGoogle Scholar
- Rahman A, Iqbal Z, Bunn J, Lovel H, Hurrington R: Impact of maternal depression on infant nutritional status and illness: a cohort study. Arch Gen Psychiatry. 2004, 61 (9): 946-952. 10.1001/archpsyc.61.9.946.View ArticlePubMedGoogle Scholar
- Blondel B, Kaminski M: Trends in the occurrence, determinants, and consequences of multiple births. Semin Perinatol. 2002, 26: 239-249. 10.1053/sper.2002.34775.View ArticlePubMedGoogle Scholar
- Cox JL, Holden JM, Sagovsky R: Detection of postnatal depression: development of the 10-item Edinburgh Postnatal Depression Scale. Br J Psychiatry. 1987, 150: 782-786. 10.1192/bjp.150.6.782.View ArticlePubMedGoogle Scholar
- Murray D, Cox JL: Screening for depression during pregnancy with the Edinburgh Postnatal Depression Scale (EPDS). J Reprod Infant Psychol. 1990, 8 (2): 99-107. 10.1080/02646839008403615.View ArticleGoogle Scholar
- Gausia K, Fisher C, Algin S, Oosthiuzen J: Validation of the Bangla version of the Edinburgh Postnatal Depression Scale for a Bangladeshi sample. J Reprod Infant Psychol. 2007, 25 (4): 308-315. 10.1080/02646830701644896.View ArticleGoogle Scholar
- Spielberg CD: Manual for the State-Trait anxiety inventory. 1983, Palo Alto, California: Consulting Psychologists PressGoogle Scholar
- World Health Organization Expert Committee: Physical status: the use and interpretation of anthropometry. 1995, WHO technical report series, 854, Geneva: World Health Organization, 121-160.Google Scholar
- Hosain GM, Chatterjee N, Begum A, Saha SC: Factors associated with low birth weight in rural Bangladesh. J Trop Pediatr. 2006, 52 (2): 87-91. 10.1093/tropej/fmi066.View ArticlePubMedGoogle Scholar
- Ahmed FU, Das AM: Beneficial effects: three ANC visits might be the divergent point in lowering low birth weight babies in Bangladesh. Integration. 1992, 33: 50-53.PubMedGoogle Scholar
- Sachar RK, Soni RK, Grewal JS, Sofat R: A simple approach for estimating birth weight in developing countries. Indian J Matern Child Health. 1994, 5 (2): 33-35.PubMedGoogle Scholar
- Bhutta ZA, Gupta I, Harendra de Silva, Manandhar D, Awasthi S, Hossain SMM, Salam MA: Maternal and child health: is South Asia ready for change?. BMJ. 2004, 328 (7443): 816-819. 10.1136/bmj.328.7443.816.View ArticlePubMedPubMed CentralGoogle Scholar
- Bale JR, Stoll BJ, Lucas AO: Reducing maternal mortality and morbidity. Improving birth outcomes: meeting the challenge in the developing world. 2003, Washington DC: National Academy Press, 205-235.Google Scholar
- Hoffman S, Hatch MC: Depressive symptomatology during pregnancy: evidence for an association with decreased fetal growth in pregnancies of lower social class women. Health Psychol. 2000, 19 (6): 535-543. 10.1037/0278-6126.96.36.1995.View ArticlePubMedGoogle Scholar
- Diego MA, Jones NA, Field T, Hernandez-Reif M, Schanberg S, Kuhn C, Gonzalez-Garcia A: Maternal psychological distress, prenatal cortisol, and fetal weight. Psychosom Med. 2006, 68 (5): 747-753. 10.1097/01.psy.0000238212.21598.7b.View ArticlePubMedGoogle Scholar
- Lee E, Michell-Herzfeld SD, Lowenfels AA, Greene R, Dorabawila V, DuMont KA: Reducing low birth weight through home visitation: a randomized controlled trial. Am J Prev Med. 2009, 36 (2): 154-160. 10.1016/j.amepre.2008.09.029.View ArticlePubMedGoogle Scholar
- Hodnett ED, Fredericks S: Support during pregnancy for women at increased risk of low birth weight babies. Cochrane data base of systemic reviews 2003. 2003, CD000198-3
- Karmaliani R, Asad N, Bann C, Moss N, Mcclure EM, Pasha O, Wright LL, Goldenberg RL: Prevalence of anxiety, depression and associated factors among pregnant women of Hyderabad, Pakistan. Int J Soc Psychiatry. 2009, 55 (5): 414-424. 10.1177/0020764008094645.View ArticlePubMedGoogle Scholar
- Rutter M: Pathways from childhood to adult life. J Child Psychol Psychiatry. 1989, 30 (1): 23-51. 10.1111/j.1469-7610.1989.tb00768.x.View ArticlePubMedGoogle Scholar
- Gale CR, Martyn CN: Birth weight and later risk of depression in a national birth cohort. Br J Psychiatry. 2004, 184 (1): 28-33. 10.1192/bjp.184.1.28.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/10/515/prepub
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