Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Maternal experience of intimate partner violence and low birth weight of children: A hospital-based study in Bangladesh

  • Jannatul Ferdos,

    Roles Conceptualization, Data curation, Formal analysis, Writing – original draft

    Affiliation Department of Population Science and Human Resource Development, University of Rajshahi, Rajshahi, Bangladesh

  • Md. Mosfequr Rahman

    Roles Conceptualization, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing

    mosfeque@ru.ac.bd

    Affiliation Department of Population Science and Human Resource Development, University of Rajshahi, Rajshahi, Bangladesh

Abstract

Objective

Intimate partner violence (IPV) is the most prevalent form of gender-based violence worldwide. IPV either before or during pregnancy has been documented as a risk factor for the health of the mother and her unborn child. The aim of this study was to examine the relationship between maternal experience of IPV and low birth weight (LBW).

Study design

A hospital-based survey was conducted among women in the postnatal wards of a large public hospital at Rajshahi, Bangladesh. Data on socio-economic characteristics, reproductive health characteristics, intimate partner violence, and antenatal, delivery and newborn care were collected from 400 women between July 2015 and April 2016.

Results

Results of this study indicated that 43% of women reported experiencing any physical IPV in their lifetime, 35.5% of them experienced sexual IPV, and 32.5% experienced both physical and sexual IPV. Approximately one in every three (29.2%) infants was born with LBW. Physical IPV was associated with an increased risk of having a child with low birth weight (adjusted odds ratio [AOR]: 3.01, 95% CI: 2.35–5.81). The risk of infants born with LBW increased with women’s lifetime experience of sexual IPV (AOR: 1.98; 95% CI: 1.23–4.15) and both physical and sexual IPV (AOR: 4.05; 95% CI: 2.79–7.33).

Conclusion

Maternal lifetime experience of IPV is positively associated with LBW children. Preventing women from the experience of IPV may help improve neonatal and child mortality in Bangladesh.

Introduction

Low birth weight (LBW), defined by the World Health Organization (WHO) as birth weight of less than 2500 grams (5.5 pounds), is considered the most common risk factor for neonatal mortality [1]. A range of both short- and long-term consequences are associated with LBW. For instance, infants born with LBW are particularly more susceptible to frequent infections, malnutrition, poor cognitive development [2,3], higher risk of stunting by 2 years of age [4], leading to irreversible outcomes after age 3 years, including short height in adulthood, lowered immune function [5], an increased risk of chronic disease and reproductive complications in later life [6], as well as lower productivity in a range of educational and economic activities [6]. Moreover, using the developmental origins of health and disease (DOHaD) hypothesis, many studies have already shown that longer-term health risks associated with LBW include type 2 diabetes, hypertension, cardiovascular disease and obesity [79]. It is estimated that more than 20 million infants around the world, representing 16% of all births, are born with LBW [10]. Although the great majority of LBW births occur in low- and middle-income countries, and especially in the most vulnerable populations [11], it is now a global concern as some high-income countries are also faced with high rates for their context [12]. A recent regional estimate showed that the prevalence of LBW include 28% in South Asia, 13% in sub-Saharan Africa and 9% in Latin America. However, in Bangladesh the LBW prevalence is 22% [13].

Risk factors and causes of LBW are multifactorial, complicated, and vary among countries or regions. The main causes of low birth weight are pre-term delivery or intrauterine growth retardation (IUGR) or both [14]. Data from different regions of developing and developed countries show that in developing countries most LBWs are due to IUGR, whereas in developed and in African countries they are due to prematurity [15]. A recent estimate of the prevalence and number of LBW infants born who have either IUGR or are preterm in developing countries including Bangladesh found that more than two-thirds of LBW infants are due to IUGR and the remaining one-third is preterm [16]. Besides IUGR and preterm birth, some other factors are reported to be associated with LBW, such as maternal poor nutritional status, maternal anthropometric measures, anemia, birth spacing, socio-economic status, intimate partner violence and antenatal care in developing countries, especially in South Asia [14,17,18]. Understanding the factors affecting newborn’s health is crucial for developing effective public health programs and interventions to reduce neonatal and child mortality.

Intimate partner violence (IPV) is a serious, preventable public health problem that has a wide range of adverse consequences for women and the new born babies. In a multi-country study by Garcia-Moreno et. al. [19] reported that 15% to 71% ever-partnered women experienced physical or sexual IPV, or both, at some point in their lives. High rates of lifetime physical (42%-51%) and sexual (37%-50%) IPV against women in Bangladesh have been documented in several population-based studies [19,20]. The relationship between IPV and LBW has been documented in the earlier literature [2126]. Some health-facility based studies in developing countries show noteworthy association between IPV and LBW but these studies considered physical/sexual IPV during pregnancy only and ignored lifetime experience of IPV [17,2325]. A longitudinal cohort study in Bangladesh found that LBW was higher among women who reported different forms of family violence (by partner or other family members) [22]. However, this study was conducted only on rural women. The association between the experience of IPV and LBW infants was confirmed in several meta-analyses as well [27,28]. No association was also reported in some other studies. For example, in a case-control study, Grimstad et al. [29] found no association between physical IPV and LBW after adjusting for potential confounders. They suggested that stress could be a more powerful predictor of LBW than IPV. Their finding was supported by another study conducted in the U.S.A. [30], in which women who experienced IPV-related stress had odds of LBW twice as high, with mean birth weight 236 grams lower than women with no stress. Although among Afro-American low-income women, physical abuse was positively associated with LBW while sexual or emotional violence was not [31]. Research on the relationship between women’s experience of IPV and LBW, therefore, has been inconclusive which underscores the need for further investigation.

Several mechanisms, how the experience of IPV might lead to LBW, have been reported in previous studies. For example, experience of IPV involving abdominal trauma can lead to placental damage, preterm labor, rupture of the membranes, ruptured uterus, and placental abruption, all of which lead to preterm birth/LBW [17,3234]. Women who experience IPV either during pregnancy or outside of pregnancy are found to be at higher risks of mood or anxiety disorder, depression, and posttraumatic stress disorder [3537]. These factors have been linked to LBW [30,38,39]. Moreover, experience of IPV might lead to behavioral changes such as seeking less prenatal care/late entry into prenatal care, inadequate weight gain, smoking, drinking, and substance use during pregnancy, and these behavioral changes might result in LBW [17,34].

Studies on the relationship between IPV and low birth weight are limited in Bangladesh. Despite substantial progress in reducing child mortality, LBW remains one of the main causes of child mortality and morbidity [40]. The Sustainable Development Goals 3 (SDGs) aim to reduce neonatal mortality to at least as low as 12 per 1,000 live births, and under-5 mortality to at least as low as 25 per 1,000 live births by 2030 [41]. Bangladesh, therefore, needs to focus on all the factors that cause high neonatal and child mortality. In this study, we hypothesize that maternal lifetime experience of IPV increases the risks of LBW. We seek to investigate the association between maternal experience of IPV and LBW of the newborn using hospital-based data in Bangladesh.

Methods

Data

A hospital-based survey was conducted among women in the postnatal wards of Rajshahi Medical College Hospital, Rajshahi, Bangladesh. The rationale of choosing Rajshahi Medical College Hospital was that it is the largest public hospital in Rajshahi area, which provides primary to tertiary treatment to people of all socioeconomic strata. The survey was conducted from July 2015 to April 2016. With a 95% confidence interval and the prevalence (p) of IPV 58% [42], considering the precision 10% of the prevalence (p) and 10% of non-response rate, using the formula , the minimum required sample size was 309. But during the study period we enrolled 443 women in total. However, twenty-five women refused participating in this study; 11 women were not in a physical state to participate; interview of 7 women was not possible due to lack of confidentiality as their relatives refused to go away. Finally, data on background and socio-economic characteristics, reproductive health characteristics, intimate partner violence, and antenatal, delivery and newborn care were collected from 400 women (S3 File).

After obtaining permission from the authority of the hospital, the interviewer team proceeded to collect data. Participants were all recently delivered women (within three days post-delivery) irrespective of whether the delivery was normal vaginal or caesarean section. Since the main variable of interest of this study was LBW therefore decision was made to collect information after delivery. Moreover, data collection after delivery reduces the chance of missing cases. Women who were admitted for an abortion or with pregnancy complications and later discharged undelivered were excluded. Beds of the postnatal wards were numbered consecutively and women from those occupying beds were selected randomly. After obtaining written consent, the selected women were administered a pretested structured questionnaire by trained female interviewer. During this process, no relatives of the women were allowed to remain present and interviews were conducted confidentially in an empty room. This study was approved by the institutional review board of Rajshahi Medical College.

Outcome

Birth weight of the newborn was our primary outcome of interest. A newborn whose birth weight was less than 2500 grams, regardless of their gestational age, was identified as low birth weight (LBW) child. Although clinically it is important to differentiate among low birth weight, premature, and small for gestational age (SGA); in resource-poor settings gestational age measurement is prone to inaccuracy as successful and quality routine ultrasound is rarely available [43]. Therefore, the current measurement of LBW continues to be a convenient surrogate for preterm and SGA births and a strong predictor of early mortality in resource-poor settings [44]. Exact gestational age was not possible to calculate since majority of the participants of this study had no early ultrasound records. Newborns were categorized according to their weight at birth: low birth weight (1: <2500g) or normal birth weight (0: ≥2500g).

Predictor variables

Maternal lifetime experiences of different forms of IPV were the main predictor variables in this study. To measure lifetime IPV, data were collected from ever-married women on whether they had ever experienced one or more acts of physical or sexual violence, or both, by a current or former husband at any point of their lives. Perpetration of physical and sexual IPV was assessed via several questions. Prevalence and severity were measured by a modified Conflict Tactics Scale [45] that has been used extensively to measure spousal violence. Women who reported that their husbands engaged in any of the following behaviors at any time in their married life were classified as lifetime experience of physical IPV: (i) pushing, shaking, or throwing an object; (ii) slapping; (iii) pulling hair or twisting an arm; (iv) punching or hitting with a fist or something harmful; (v) kicking or dragging; (vi) choking or burning; or (vii) threatening or attacking with a knife or a gun. A positive answer to any of these questions indicated physical perpetration. The Chronbach’s α for this measure was 0.73. Perpetration of sexual IPV was indicated by a woman’s positive response to an item asking whether she had been physically forced to have sexual intercourse even when she did not want to. Three exposure variables were defined for this analysis: physical IPV versus no physical IPV, sexual IPV versus no sexual IPV, and physical and sexual IPV versus no physical and sexual IPV. However, women’s experience of physical or sexual IPV defined in this study was mutually non-exclusive.

Confounding variables

Based upon the current literature on low birth weight and intimate partner violence we chose an a priori confounder set for analytic purpose of this study which include age, age at marriage, education, place of residence, working status, pregnancy intention, antenatal checkup, household decision-making autonomy, maternal BMI, and maternal height. These factors have all been associated with low birth weight [4654] and experience of IPV [5564] in previous research. Participant’s age was categorized as: <20 years, 20 to 24 years and 25–35 years (since none of the women in the sample was aged over 35 years). Age at marriage was categorized as married before 18 years of age and married at the age of 18 years or more. Educational level of respondents was defined in terms of the formal educational system of Bangladesh: primary education (1 to 5 years), secondary (6 years to 10 years) and higher (11 years or more). Participant’s place of residence was classified as urban or rural areas. Working status was classified as housewives, service or others (agricultural worker; poultry raising, cattle raising; home-based manufacturing etc.). Maternal pregnancy intendedness was determined by asking women to recall their feelings at the time of conception for the current birth. Women were asked whether the pregnancy had been wanted at that time, mistimed (i.e., it occurred earlier than desired) or unwanted (i.e., it occurred when no children, or no more children, were desired). Antenatal checkups were categorized as: less than 4 checkups and 4 or more checkups. Women’s household decision-making autonomy was based on responses to individual questions regarding who makes decisions in the respondent’s household about obtaining health care, large household purchases, visits to family or relatives, and child healthcare. The response options were as follows: (a) respondent alone, (b) husband alone (c) respondent and husband, (d) other person. For each question, a value of 1 was assigned if the response was (a) or (c), and 0 for (b) or (d). The values were then added, resulting in a score from 0 to 4 (Cronbach α = 0.89). Maternal BMI was classified as underweight (<18.5 kg/m2), normal (18.5–24.99 kg/m2) or overweight/obese (≥25.0 kg/m2). Height was a dichotomous variable indicating whether a woman was at least 145 cm tall or shorter than 145 cm. The cutoff point of below 145 cm is considered as short stature because most studies in developing countries have used this cutoff for screening high-risk women [64,65].

Statistical analysis

Chi-square tests were used to investigate associations between birth weight and predictor and confounding variables. Association between maternal lifetime experience of IPV and low birth weight were estimated using logistic regression procedures. Logistic regression models were fitted to the data to model the crude associations between different forms of IPV and LBW. Confounding variables were then added into the models. This was done to observe how the addition of other confounding variables affected the relationship between different forms of IPV and LBW. Three fully multivariate logistic regression models were created to analyze the occurrence of LBW among women, with each model containing a different IPV predictor. All the confounding variables were entered into the multiple regression models simultaneously. Odds ratios (ORs) were estimated to assess the strength of the associations, and 95% confidence intervals (CIs) were used for significance testing. The multicollinearity of the variables was checked by examining the variance inflation factors (VIF), which was <2.0, indicating that multicollinearity was low. All statistical analyses were performed using Stata version 13.1/MP (StataCorp, LP, College Station, Texas, USA).

Results

Our data indicate that a large number of women (58.7%) had secondary education, and 25.5% of women were engaged in some income generating works at the time of interview. One-fifth of the most recent births (20.5%) were unwanted and 10% were mistimed. Results also indicate that about one-third (29.2%) of the newborns’ weight at birth was less than 2500 grams. Forty-three percent women ever experienced physical IPV, 35.5% experienced sexual IPV, and 32.5% of women ever experienced both physical and sexual IPV from their husbands in their lifetime (Table 1). Table 1 also presents association of the selected variables with birth weight. Increasing maternal age, higher age at marriage, higher maternal education, higher number of children ever born, and higher participation in household decision makings was negatively associated with giving birth to a LBW infant. The rate of LBW children increased with decrease in women’s age. Women aged below 20 years were more likely to have a child with low birth weight than their older counterparts (aged 25 and over) (56.8% vs. 14.7%). Women who married before age 18 years experienced a high rate of LBW children than women who married at or over age 18 years (39.8% vs. 24.0%). Rate of LBW children was higher among women whose pregnancies were unwanted or mistimed than women whose pregnancies were wanted. Participation in household decision makings of women reduces the rate of experiencing LBW children than non-participation in household decision makings. Results also show that experience of IPV was positively associated with LBW. The proportions of low birth weight were higher among women who ever experienced physical IPV (56.4% vs. 8.8%), sexual IPV (64.8% vs. 9.7%), and both physical and sexual IPV (69.2% vs. 10.0%). Interestingly, the association between birth weight and some theoretically important variables such as education, children ever born, and maternal BMI showed no association between them (Table 1). This may be due to small sample size of this study.

thumbnail
Table 1. Association of selected variables with birth weighta.

https://doi.org/10.1371/journal.pone.0187138.t001

Table 2 presents the unadjusted and adjusted associations between maternal lifetime experience of different forms of IPV and low birth weight. There was a positive relationship between low birth weight and all forms of IPV. In unadjusted analyses, women who ever experienced different forms of IPV were more likely to have a LBW child. In adjusted analyses, results also indicated that women experiencing physical IPV (AOR: 3.01, 95% CI: 2.35–5.81) or sexual IPV (AOR: 1.98; 95% CI: 1.23–4.15) were at increased risk of having a LBW child. Women experiencing both physical and sexual IPV were more likely to report to have a LBW child (AOR: 4.05; 95% CI: 2.79–7.33) than women who did not experience both physical and sexual IPV.

thumbnail
Table 2. Logistic regression analysis to predict the association between maternal lifetime experience of IPV and low birth weight (n = 400).

https://doi.org/10.1371/journal.pone.0187138.t002

Discussion

This study findings support our hypothesis that maternal lifetime experience of IPV increases the probability of giving birth to a child with low birth weight. In this study, we found that nearly one-third of babies were born with low weight and the lifetime experience of IPV among women was also high. Moreover, proportion of LBW children was high among women who experienced different forms of IPV in their lifetime. This high lifetime prevalence rate confirms that IPV is alarmingly commonplace in this impoverished South Asian nation, potentially affecting the health of both mothers and their unborn children. The study results show that women who ever experienced physical IPV were three times more likely to have children with low birth weight than women who were not physically abused. However, the risk of producing a low birth child was even higher when a woman experienced both physical and sexual IPV (4 times more likely than a woman who did not experience physical and sexual IPV). Therefore, this study urges to the government or policy makers to formulate appropriate policies and to implement them properly to prevent women from being abused by their husbands, which might ensure good health for women as well as their children.

Our findings are consistent with the findings of previous studies [21,23,27] indicating that women with a history of physical violence by their partners are at greater risk of having low birth weight infants. Maternal experience of physical IPV might have direct or indirect consequences on the fetus resulting in low birth weight babies. The experience of physical IPV may have direct adverse consequences, such as abdominal trauma and placental damage, premature rupture of membranes [66], or release of prostaglandin which is associated with preterm labor and LBW [67]. Maternal experience of physical IPV may affect birth weight indirectly in several ways. Stress could be a mediating factor of the relationship between IPV and LBW by activating neuroendocrine axis, causing the release of catecholamines, betaendorphic and cortisol which can lead to vasoconstriction, fetal hypoxia, and fetal growth restriction [68]. Moreover, women exposed to IPV experience depressive symptoms, suicidal ideation, anxiety, and high levels of stress [22], attend fewer prenatal care visits, make poor food choices, and isolate themselves [69] which in turn might produce a low birth weight infant. Another explanation for the relationship of LBW to IPV is that these births could be unintended [63] which lead women to lower use of antenatal care [70] and lower weight at birth [54]. However, physically abused women are at greater risk for poor obstetric history and short interpregnancy interval, poor prenatal weight gain, anemia, first- or second-trimester bleeding, and infections [71]. These factors could be the potential reasons of the relationship between IPV and low birth weight.

Our findings also indicate that women who were sexually abused were almost two times more likely to give birth to low birth weight babies than non-abused women. These findings are in contrast with earlier studies [31,72] which found no associations between sexual violence and low birth weight in the adjusted analysis. The lack of a validated instrument for measuring the exposure, lower disclosure rate, lack of information on the context and frequency of the violence or information regarding the perpetrator could be possible explanations for lack of associations found in those studies. Studies that have investigated the impact of lifetime experience of sexual violence on low birth weight specifically are limited. However, results from a new meta-analysis published in the recent WHO report [73] have demonstrated a positive association between lifetime experience of physical and/or sexual violence and low birth weight. Our study reaffirmed that LBW may also stem from the fact that women exposed to sexual IPV experience immediate complications such as bleeding and rupture of membranes [62], which can lead to a preterm birth and LBW infant as well. Moreover, women might develop psychological disorders such as depressive symptoms, post-traumatic stress disorder or anxiety due to the experience of sexual violence from their husbands at any point of their lives [35,36], which in turn result in LBW children [38,39].

The results of our study should be interpreted in the light of several limitations. This study was carried out in one hospital only, and therefore, we cannot generalize the results to the whole country. Women were asked to self-report the experience of violence from their husbands; therefore, there could be a possibility of under reporting of IPV. Underreporting of IPV might also be due to the sensitive nature of the topic, societal acceptance, social stigma, and participants’ privacy and safely concerns. Another limitation is that the definition of LBW used in this study fails to distinguish between LBW infants who are premature and those who are merely small for their gestational age. IUGR, the predominant cause of LBW in Bangladesh, was not assessed in this study. Another important limitation of this study was that data was collected after delivery which may reduce the number of missing cases but it might introduce a recall and selection bias. Given the retrospective nature of the data, there is a possibility that women are biased towards recalling their experience of lifetime IPV. Moreover, it is evident that memory for events, even violent ones, fades over time [74], and therefore retrospective instrument used in this study is subject to substantial recall biases. Additionally the potential for selection bias in this study is that the study focuses on only women who delivered in a hospital whereas majority of the deliveries (62%) take place in home in Bangladesh [75]. Finally, since inferring causation is difficult due to the observational nature of the data, this study provides evidence of statistical association between the items of interest and the experience of IPV. Future in depth longitudinal research is needed to determine the magnitude of the relationship between IPV and LBW infants, and the mechanisms through which IPV leads to LBW.

Despite these limitations, the study findings have important policy implications and far-reaching consequences for child healthcare in Bangladesh. Since maternal experience of IPV is associated with LBW, therefore, we suggest policy makers to address the maternal experience of IPV while formulating policies towards reducing infant and child mortality and morbidity. The results of this study may also be relevant to other resource-poor countries where infant and child mortality rates are high, and to clinicians who assess newborns with health problems. We recommend additional efforts are needed from both the governmental and nongovernmental organizations to prevent IPV and promote reproductive health programs for them. Proper screening of IPV is needed to provide counseling and other social support to women in crisis. In this regard, gynecological and obstetric services may be key intervention points to screen IPV.

Conclusions

To our knowledge, this study is the first hospital-based study in Bangladesh to document that maternal experience of IPV is positively associated with producing a low birth weight child. These findings emphasize the importance of screening all women of reproductive age. Bangladesh is striving towards SDGs 3 of reducing global neonatal and under five mortality. Therefore this study makes an important contribution by documenting that maternal experience of IPV could be a substantial impediment in achieving the SDG. IPV related child morbidity and mortality is a critically important health issue, particularly in South Asia, where neonatal mortality is relatively high. Therefore, global concerted initiatives should be taken and properly implemented to protect women from spousal violence and reduce child morbidity and mortality.

Supporting information

S1 File. Interview questionnaire in Bangla.

https://doi.org/10.1371/journal.pone.0187138.s001

(DOC)

S2 File. Interview questionnaire in English.

https://doi.org/10.1371/journal.pone.0187138.s002

(DOC)

S4 File. Label for variables in the dataset.

https://doi.org/10.1371/journal.pone.0187138.s004

(XLSX)

Acknowledgments

The authors would like to acknowledge authority of Rajshahi Medical College Hospital for providing permission to conduct this study and some technical support. We would like to thank the data collectors and the study participants. Our heartfelt thanks goes to Syeda S. Jesmin, PhD, Associate Professor, Department of Sociology, University of North Texas at Dallas, US, for reviewing the manuscript prior to submission. Finally, yet importantly, our thanks go to those individuals who directly or indirectly contributed their skills and knowledge toward the accomplishment of this study.

References

  1. 1. Gururaj M, Siddapa A, Kulkarni A, Rekha K.Sociodemographic Determinants of Low Birth Weight: A Hospital Based Prospective Case Control Study in Rural South India. International Journal of Tropical Medicine and Public Health. 2015; 5: 13–16.
  2. 2. Grantham-McGregor S, Cheung YB, Cueto S, Glewwe P, Richter L, Strupp B, et al.Developmental potential in the first 5 years for children in developing countries. The lancet. 2007; 369: 60–70.
  3. 3. Emond AM, Lira PI, Lima MC, Grantham‐Mcgregor SM, Ashworth A.Development and behaviour of low‐birthweight term infants at 8 years in northeast Brazil: a longitudinal study. Acta Paediatrica. 2006; 95: 1249–1257. pmid:16982498
  4. 4. Martorell R, Ramakrishnan U, Schroeder DG, Melgar P, Neufeld L.Intrauterine growth retardation, body size, body composition and physical performance in adolescence. European Journal of Clinical Nutrition. 1998; 52: S43–52; discussion S52-43. pmid:9511019
  5. 5. Pitcher JB, Henderson-Smart DJ, Robinson JS (2006) Prenatal programming of human motor function. Early life origins of health and disease: Springer. pp. 41–57.
  6. 6. Victora CG, Adair L, Fall C, Hallal PC, Martorell R, Richter L, et al.Maternal and child undernutrition: consequences for adult health and human capital. The lancet. 2008; 371: 340–357.
  7. 7. Eriksson JG, Forsen T, Tuomilehto J, Osmond C, Barker DJ.Early growth and coronary heart disease in later life: longitudinal study. Bmj. 2001; 322: 949–953. pmid:11312225
  8. 8. Barker DJP (1998) Mothers, babies and health in later life: Elsevier Health Sciences.
  9. 9. Barker DJ, Eriksson JG, Forsén T, Osmond C.Fetal origins of adult disease: strength of effects and biological basis. International journal of epidemiology. 2002; 31: 1235–1239. pmid:12540728
  10. 10. Demelash H, Motbainor A, Nigatu D, Gashaw K, Melese A.Risk factors for low birth weight in Bale zone hospitals, South-East Ethiopia: a case–control study. BMC pregnancy and childbirth. 2015; 15: 1.
  11. 11. Muglia LJ, Katz M.The enigma of spontaneous preterm birth. New England Journal of Medicine. 2010; 362: 529–535. pmid:20147718
  12. 12. World Health Organization.Global Nutrition Targets 2025: Low birth weight policy brief. 2014.
  13. 13. United Nations Children's Fund (2015) The state of the world's children. New York: UNICEF.
  14. 14. Hosain GM, Chatterjee N, Begum A, Saha SC.Factors associated with low birthweight in rural Bangladesh. Journal of tropical pediatrics. 2006; 52: 87–91. pmid:16014761
  15. 15. Villar J, Belizán J.The relative contribution of prematurity and fetal growth retardation to low birth weight in developing and developed societies. American journal of obstetrics and gynecology. 1982; 143: 793–798. pmid:7102746
  16. 16. Black RE, Allen LH, Bhutta ZA, Caulfield LE, De Onis M, Ezzati M, et al.Maternal and child undernutrition: global and regional exposures and health consequences. The lancet. 2008; 371: 243–260.
  17. 17. Sigalla GN, Mushi D, Meyrowitsch DW, Manongi R, Rogathi JJ, Gammeltoft T, et al.Intimate partner violence during pregnancy and its association with preterm birth and low birth weight in Tanzania: A prospective cohort study. PLoS one. 2017; 12: e0172540. pmid:28235031
  18. 18. De Bernabé JV, Soriano T, Albaladejo R, Juarranz M, Calle ME, Martinez D, et al.Risk factors for low birth weight: a review. European Journal of Obstetrics & Gynecology and Reproductive Biology. 2004; 116: 3–15.
  19. 19. Garcia-Moreno C, Jansen HA, Ellsberg M, Heise L, Watts CH.Prevalence of intimate partner violence: findings from the WHO multi-country study on women's health and domestic violence. The Lancet. 2006; 368: 1260–1269.
  20. 20. Koenig MA, Ahmed S, Hossain MB, Mozumder ABKA.Women’s status and domestic violence in rural Bangladesh: individual-and community-level effects. Demography. 2003; 40: 269–288. pmid:12846132
  21. 21. Abdollahi F, Abhari FR, Delavar MA, Charati JY.Physical violence against pregnant women by an intimate partner, and adverse pregnancy outcomes in Mazandaran Province, Iran. Journal of family & community medicine. 2015; 22: 13.
  22. 22. Åsling-Monemi K, Naved RT, Persson LÅ.Violence against women and the risk of fetal and early childhood growth impairment: a cohort study in rural Bangladesh. Archives of disease in childhood. 2009; 94: 775–779. pmid:19224891
  23. 23. Kaye DK, Mirembe FM, Bantebya G, Johansson A, Ekstrom AM.Domestic violence during pregnancy and risk of low birthweight and maternal complications: a prospective cohort study at Mulago Hospital, Uganda. Tropical Medicine & International Health. 2006; 11: 1576–1584.
  24. 24. Mezzvilla RdS, Hasselmann MH.Physical intimate partner violence and low birth weight in newborns from primary health care units of the city of Rio de Janeiro. Revista de Nutrição. 2016; 29: 357–366.
  25. 25. Rosen D, Seng JS, Tolman RM, Mallinger G.Intimate partner violence, depression, and posttraumatic stress disorder as additional predictors of low birth weight infants among low-income mothers. Journal of Interpersonal Violence. 2007; 22: 1305–1314. pmid:17766728
  26. 26. Valladares E, Ellsberg M, Peña R, Högberg U, Persson LÅ.Physical partner abuse during pregnancy: a risk factor for low birth weight in Nicaragua. Obstetrics & Gynecology. 2002; 100: 700–705.
  27. 27. Murphy CC, Schei B, Myhr TL, Du Mont J.Abuse: a risk factor for low birth weight? A systematic review and meta-analysis. Canadian Medical Association Journal. 2001; 164: 1567–1572. pmid:11402794
  28. 28. Shah PS, Shah J.Maternal exposure to domestic violence and pregnancy and birth outcomes: a systematic review and meta-analyses. Journal of women's health. 2010; 19: 2017–2031. pmid:20919921
  29. 29. Grimstad H, Schei B, Backe B, Jacobsen G.Physical abuse and low birthweight: a case‐control study. BJOG: An International Journal of Obstetrics & Gynaecology. 1997; 104: 1281–1287.
  30. 30. Altarac M, Strobino D.Abuse during pregnancy and stress because of abuse during pregnancy and birthweight. Journal of the American Medical Women's Association (1972). 2001; 57: 208–214.
  31. 31. Neggers Y, Goldenberg R, Cliver S, Hauth J.Effects of domestic violence on preterm birth and low birth weight. Acta obstetricia et gynecologica Scandinavica. 2004; 83: 455–460. pmid:15059158
  32. 32. Shah AJ, Kilcline BA.Trauma in pregnancy. Emergency medicine clinics of North America. 2003; 21: 615–629. pmid:12962349
  33. 33. Campbell J, Torres S, Ryan J, King C, Campbell DW, Stallings RY, et al.Physical and nonphysical partner abuse and other risk factors for low birth weight among full term and preterm babies a multiethnic case-control study. American Journal of Epidemiology. 1999; 150: 714–726. pmid:10512425
  34. 34. Bailey BA.Partner violence during pregnancy: prevalence, effects, screening, and management. Int J Womens Health. 2010; 2: 183–197. pmid:21072311
  35. 35. Dillon G, Hussain R, Loxton D, Rahman S.Mental and physical health and intimate partner violence against women: A review of the literature. International journal of family medicine. 2013; 2013.
  36. 36. Pico-Alfonso MA, Garcia-Linares MI, Celda-Navarro N, Blasco-Ros C, Echeburúa E, Martinez M.The impact of physical, psychological, and sexual intimate male partner violence on women's mental health: depressive symptoms, posttraumatic stress disorder, state anxiety, and suicide. Journal of women's health. 2006; 15: 599–611. pmid:16796487
  37. 37. Taylor CA, Guterman NB, Lee SJ, Rathouz PJ.Intimate partner violence, maternal stress, nativity, and risk for maternal maltreatment of young children. American journal of public health. 2009; 99: 175–183. pmid:19008518
  38. 38. Nasreen HE, Kabir ZN, Forsell Y, Edhborg M.Low birth weight in offspring of women with depressive and anxiety symptoms during pregnancy: results from a population based study in Bangladesh. BMC public health. 2010; 10: 515. pmid:20796269
  39. 39. Gennaro S, Hennessy MD.Psychological and physiological stress: impact on preterm birth. Journal of Obstetric, Gynecologic, & Neonatal Nursing. 2003; 32: 668–675.
  40. 40. Ahmed FU, Karim E, Bhuiyan SN.Mid-arm circumference at birth as predictor of low birth weight and neonatal mortality. Journal of Biosocial Science. 2000; 32: 487–493. pmid:11075641
  41. 41. United Nations (2015) Sustainable Development Goals: 17 Goals to Transform Our World.
  42. 42. National Institute of Population Research and Training (NIPORT), Mitra and Associates, Macro International (2009) Bangladesh Demographic and Health Survey 2007. Dhaka, Bangladesh and Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Mcro International.
  43. 43. Moore KA, Simpson JA, Thomas KH, Rijken MJ, White LJ, Dwell SLM, et al.Estimating gestational age in late presenters to antenatal care in a resource-limited setting on the Thai-Myanmar border. PloS one. 2015; 10: e0131025. pmid:26114295
  44. 44. Hughes MM, Black RE, Katz J.2500-g Low Birth Weight Cutoff: History and Implications for Future Research and Policy. Maternal and Child Health Journal. 2016: 1–7.
  45. 45. Straus MA (1990) Measuring intrafamily conflict and violence. The conflict tactic scales. In: Straus MA, Gelles aRJ, editors. Physical violence in American families: Risk factors and adaptations to violence in 8145 families. New Brunswick, New Jersey: Transaction Publishers. pp. 29–47.
  46. 46. Alkushi AG, El Sawy NA.Maternal Anthropometric Study of Low Birth Weight Newborns in Saudi Arabia: A Hospital-Based Case-Control Study. Advances in Reproductive Sciences. 2016; 4: 101.
  47. 47. Chakraborty P, Anderson AK.Maternal autonomy and low birth weight in India. Journal of Women's Health. 2011; 20: 1373–1382. pmid:21767141
  48. 48. Demelash H, Motbainor A, Nigatu D, Gashaw K, Melese A.Risk factors for low birth weight in Bale zone hospitals, South-East Ethiopia: a case–control study. BMC pregnancy and childbirth. 2015; 15: 264. pmid:26463177
  49. 49. Han Z, Lutsiv O, Mulla S, McDonald SD.Maternal height and the risk of preterm birth and low birth weight: a systematic review and meta-analyses. Journal of Obstetrics and Gynaecology Canada. 2012; 34: 721–746. pmid:22947405
  50. 50. Mahmoodi Z, Karimlou M, Sajjadi H, Dejman M, Vameghi M, Dolatian M, et al.Association of maternal working condition with low birth weight: The social determinants of health approach. Annals of medical and health sciences research. 2015; 5: 385–391. pmid:27057375
  51. 51. Ota E, Haruna M, Suzuki M, Anh DD, Tho LH, Tam NTT, et al.Maternal body mass index and gestational weight gain and their association with perinatal outcomes in Viet Nam. Bulletin of the World Health Organization. 2011; 89: 127–136. pmid:21346924
  52. 52. Pinzón-Rondón ÁM, Gutiérrez-Pinzon V, Madriñan-Navia H, Amin J, Aguilera-Otalvaro P, Hoyos-Martinez A.Low birth weight and prenatal care in Colombia: a cross-sectional study. BMC pregnancy and childbirth. 2015; 15: 118. pmid:25989797
  53. 53. Shah PS.Parity and low birth weight and preterm birth: a systematic review and meta‐analyses. Acta obstetricia et gynecologica Scandinavica. 2010; 89: 862–875. pmid:20583931
  54. 54. Shah PS, Balkhair T, Ohlsson A, Beyene J, Scott F, Frick C.Intention to become pregnant and low birth weight and preterm birth: a systematic review. Maternal and child health journal. 2011; 15: 205–216. pmid:20012348
  55. 55. Bazargan-Hejazi S, Medeiros S, Mohammadi R, Lin J, Dalal K.Patterns of intimate partner violence: a study of female victims in Malawi. Journal of Injury and Violence Research. 2013; 5: 38. pmid:22289886
  56. 56. Gee RE, Mitra N, Wan F, Chavkin DE, Long JA.Power over parity: intimate partner violence and issues of fertility control. American journal of obstetrics and gynecology. 2009; 201: 148. e141-148. e147. pmid:19564020
  57. 57. Muthengi E, Gitau T, Austrian K.Correction: Is working risky or protective for married adolescent girls in urban slums in Kenya? Understanding the association between working status, savings and intimate-partner violence. PLoS one. 2016; 11: e0158250. pmid:27332720
  58. 58. Peterman A, Bleck J, Palermo T.Age and intimate partner violence: an analysis of global trends among women experiencing victimization in 30 developing countries. Journal of Adolescent Health. 2015; 57: 624–630. pmid:26592331
  59. 59. Rahman M, Hoque MA, Makinoda S.Intimate partner violence against women: Is women empowerment a reducing factor? A study from a national Bangladeshi sample. Journal of Family Violence. 2011; 26: 411–420.
  60. 60. Rahman M, Hoque MA, Mostofa MG, Makinoda S.Association between adolescent marriage and intimate partner violence: a study of young adult women in Bangladesh. Asia Pacific Journal of Public Health. 2014; 26: 160–168. pmid:21980145
  61. 61. Rahman M, Nakamura K, Seino K, Kizuki M.Intimate partner violence and use of reproductive health services among married women: evidence from a national Bangladeshi sample. BMC public health. 2012; 12: 913. pmid:23102051
  62. 62. Rahman M, Nakamura K, Seino K, Kizuki M.Are survivors of intimate partner violence more likely to experience complications around delivery? Evidence from a national Bangladeshi sample. The European Journal of Contraception & Reproductive Health Care. 2013; 18: 49–60.
  63. 63. Rahman M, Sasagawa T, Fujii R, Tomizawa H, Makinoda S.Intimate partner violence and unintended pregnancy among Bangladeshi women. Journal of interpersonal violence. 2012; 27: 2999–3015. pmid:22550152
  64. 64. Subramanian S, Ackerson LK, Smith GD, John NA.Association of maternal height with child mortality, anthropometric failure, and anemia in India. Jama. 2009; 301: 1691–1701. pmid:19383960
  65. 65. Christian P.Maternal height and risk of child mortality and undernutrition. Jama. 2010; 303: 1539–1540. pmid:20407066
  66. 66. Dejin-Karlsson E, Hanson BS, Ostergren P-O, Sjöberg N-O, Marsal K.Does passive smoking in early pregnancy increase the risk of small-for-gestational-age infants? American Journal of Public Health. 1998; 88: 1523–1527. pmid:9772856
  67. 67. Austin MP, Leader L.Maternal stress and obstetric and infant outcomes: epidemiological findings and neuroendocrine mechanisms. Australian and New Zealand journal of obstetrics and gynaecology. 2000; 40: 331–337. pmid:11065043
  68. 68. McFarlane J, Parker B, Soeken K, Bullock L.Assessing for abuse during pregnancy: Severity and frequency of injuries and associated entry into prenatal care. JAMA. 1992; 267: 3176–3178. pmid:1593739
  69. 69. Fried LE, Cabral H, Amaro H, Aschengrau A.Lifetime and during pregnancy experience of violence and the risk of low birth weight and preterm birth. Journal of midwifery & women’s health. 2008; 53: 522–528.
  70. 70. Rahman MM, Rahman MM, Tareque MI, Ferdos J, Jesmin SS.Maternal Pregnancy Intention and Professional Antenatal Care Utilization in Bangladesh: A Nationwide Population-Based Survey. PloS one. 2016; 11: e0157760. pmid:27309727
  71. 71. Parker B, McFarlane J, Soeken K.Abuse during pregnancy: effects on maternal complications and birth weight in adult and teenage women. Obstetrics & Gynecology. 1994; 84: 323–328.
  72. 72. Henriksen L, Schei B, Vangen S, Lukasse M.Sexual violence and neonatal outcomes: a Norwegian population-based cohort study. BMJ open. 2014; 4: e005935. pmid:25763796
  73. 73. García-Moreno C (2013) Global and regional estimates of violence against women: prevalence and health effects of intimate partner violence and non-partner sexual violence: World Health Organization.
  74. 74. Elliott SW, Anderson JR.Effect of memory decay on predictions from changing categories. Journal of Experimental Psychology: Learning, Memory, and Cognition. 1995; 21: 815. pmid:7673869
  75. 75. National Institute of Population Research and Training (NIPORT), Mitra and Associates, ICF International (2016) Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International.