Impact of maternal weight on pregnancy outcomes: a systematic review

Ayensu, Jessica; Annan, Reginald Adjetey; Edusei, Anthony Kwaku; Badu, Eric

doi:10.1108/nfs-11-2015-0146

Cited by 13 publications

(18 citation statements)

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“…Maternal obesity can substantially interfere the fetal development and determines the long term health of the offspring [30]. It is also a major risk factor for gestational diabetes, preeclampsia and pregnancy-induced hypertension in women [31,32]. Our study demonstrated a higher prevalence of hypertension in Gandaki province and the lower in Sudurpaschim province that is in line with national findings carried out in the general population [33].…”

Section: Characteristics Mean Number Clustering Of Ncd Risk Factors Asupporting

confidence: 90%

Prevalence and determinants of non-communicable diseases risk factors among reproductive aged women of Nepal: Results from Nepal Demographic Health Survey 2016

et al. 2020

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IntroductionNon-Communicable Diseases (NCDs) are the major killer diseases globally. They share the common risk factors such as smoking, harmful use of alcohol, physical inactivity, and low fruits/vegetable consumption. The clustering of these risk factors multiplies the risk of developing NCDs. NCDs affect women inequitably causing significant threats to the health of women and future generations. But, the distribution and clustering of NCDs risk factors among Nepalese women are not adequately explored yet. This study aimed to assess the clustering and socio-demographic distribution of major NCD risk factors in Nepalese women. MethodsWe used the data of 6,396 women age 15 to 49 years from the recent Nepal Demographic and Health Survey (NDHS). The survey applied a stratified multi-stage cluster sampling method to select the eligible women participants from across Nepal. We analyzed data using the multiple Poisson regression and reported the adjusted prevalence ratio (APR). ResultsA total of 8.9% of participants were current smokers, 22.2% were overweight and obesity and 11.5% of the participants were hypertensive. Around 6% of participants had co-occurrence of two NCDs risk factors. Smoking, overweight and obesity and hypertension were significantly associated with age, education, province, wealth index, and ethnicity. Risk factors were more likely to cluster in women of age40-49 years (ARR = 2.95, 95%CI: 2.58-3.38), widow/separated (ARR = 3.09; 95% CI:2.24-4.28) and among Dalit women (ARR = 1.34; 95% CI:1.17-1.55). ConclusionThis study found that NCDs risk factors were disproportionately distributed by age, education, socio-economic status and ethnicity and clustered in more vulnerable groups such as widow/separated women and the Dalit women. Data collectionBlood pressure. Trained enumerator measured blood pressure with UA-767F/FAC (A&D Medical, Tokyo, Japan) blood pressure machines. Enumerators took three readings of blood pressure at the interval of five minutes between each reading and averaged the last two readings to get more accurate blood pressure readings. Participants whose systolic blood pressure (SBP)at the level of 140 mmHg or higher and/or diastolic blood pressure (DBP) of�90 mmHg or higher or currently taking antihypertensive medicines at the time of data collection were considered hypertensive [17].Overweight and obesity. Weight and height were measured as described in the DHS standard protocol [18]. To calculate body mass index (BMI), weight in kilograms was divided by the height in meter-squared. Women having (BMI � 25kg/m 2 ) were categorized as 'overweight and obesity" and the remaining (BMI< 25kg/m 2 ) were categorized as "No overweight and obesity" [17].Current tobacco use. Current tobacco use includes either daily or occasional smoking or use of smokeless tobacco (snuff by mouth, snuff by the nose, chewing tobacco and betel quid with tobacco) [17]. Explanatory variablesInformation related to socio-demographic variables including the age of the participants, ethnicity, educational status, pl...

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Section: Characteristics Mean Number Clustering Of Ncd Risk Factors Asupporting

confidence: 90%

Prevalence and determinants of non-communicable diseases risk factors among reproductive aged women of Nepal: Results from Nepal Demographic Health Survey 2016

et al. 2020

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“…The construction of this variable was based on questions in IDHS 2012. The low birth weight of new born baby was considered those who were delivered with the weight less than 2500 gram [15]. If the infant was less than 2500 gram then coded as 1 for "low birth weight" while else coded as 0.…”

Section: Methodsmentioning

confidence: 99%

“…The multilevel logistic model was implemented to predict the probability of the occurrence of LBW by taking into account the effect of family wealth levels and the region effects. The region and family wealth level were considered as the multilevel parameterdue to different geographical regions of the Indonesia, while the family wealth level may be related to the purchasing power of mother and dietary patterns which results in pregnancy and weight of baby [15,16]. The hypothesis was considered statistically significant if p-values were less than 0.05.…”

Section: Methodsmentioning

confidence: 99%

Maternal Risk Factors Associated with Low Birth Weight in Indonesia

Siramaneerat¹,

Agushybana²,

Meebunmak³

2018

TOPHJ

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Background: Low birth weight (LBW) is a major risk factor for death and disease in the fetus and newborn infant. However, the study about LBW and maternal risk factors involved in Indonesia is still limited. Objective: The present study attempted to examine the association of maternal risk factors including mother’s age, mother and husband education, mother and husband occupation and wealth, ANC visit, desired pregnancy and obstetric complication toward the occurrence of low birth weight infant across region and family wealthy. Methods: This study employed the data from the national survey of Indonesia Demographic and Health Survey (IDHS). The latest births from married women who gave birth within 2 years (2011 and 2012) preceding the IDHS were considered as sample selection. It was approximately 15,126 respondents. The predicted risks of low birth weight were estimated using multilevel logistic analysis. Results: Data were collected on 15,126 pregnant women who reported 10.2% were with LBW infants. When using the multilevel logistic analysis, the factors associated with LBW were maternal delivery-baby age, mother’s education, antenatal care and pregnancy complication at significant levels of 0.01. Conclusion: The prevalence of preterm infants in this study was quite high. Factors affecting LBW were maternal age, maternal education, ANC visits and pregnancy complication. The ANC visit of pregnant women is a potential and feasible activity to reduce the incidence of LBW.

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“…Maternal underweight increases the risk of intra uterine growth restrictions. Over the past 10 years, trends in weight of women age 15 to 49 has changed towards overweight and obesity [12]. In 2014, the Ghana statistical service reported that 25% of women are overweight and 15% are obese [13].…”

Section: Introductionmentioning

confidence: 99%

Prevalence of anaemia and low intake of dietary nutrients in pregnant women living in rural and urban areas in the Ashanti region of Ghana

et al. 2020

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BackgroundAnaemia remains a major cause of morbidity and mortality among women and children worldwide. Because deficiencies in essential micronutrients such as iron, folate and vitamin B12 prior to and during gestation increase a woman's risk of being anaemic, adequate dietary intake of such nutrients is vital during this important phase in life. However, information on the dietary micronutrient intakes of pregnant women in Ghana, particularly of those resident in rural areas is scanty. Thus, this study aimed to assess anaemia prevalence and dietary micronutrient intakes in pregnant women in urban and rural areas in Ghana. MethodsA comparative cross sectional study design involving 379 pregnant women was used to assess the prevalence of anaemia and low intake of dietary nutrients in pregnant women living in rural and urban areas in the Ashanti region of Ghana. Anaemia status and mid upper arm circumference (MUAC) were used as proxy for maternal nutritional status. Haemoglobin measurements were used to determine anaemia prevalence and the dietary diversity of the women were determined with a 24-hour dietary recall and a food frequency questionnaire. ResultsOverall, anaemia was present in 56.5% of the study population. Anaemia prevalence was higher among rural residents than urban dwellers. Majority of the respondents had inadequate intakes of iron, zinc, folate, calcium and vitamin A. The mean dietary diversity score (DDS) of the study population from the first 24-hour recall was 3.81 ± 0.7. Of the 379 women, 28.8% met the minimum dietary diversity for women (MDD-W). The independent PLOS ONE | https://doi.) for researchers who meet the criteria for access to confidential data. predictors of haemoglobin concentration were, gestational age, maternal age and dietary diversity score. Such that respondents with low DDS were more likely to be anaemic than those with high DDS (OR = 1.795, p = 0.022, 95% CI: 1.086 to 2.967). ConclusionsA large percentage of pregnant women still have insufficient dietary intakes of essential nutrients required to support the nutritional demands during pregnancy. Particularly, pregnant women resident in rural areas require interventions such as nutrition education on the selection and preparation of diversified meals to mitigate the effects of undernutrition.Undernutrition prevalence and severity in Ghanaian pregnant women PLOS ONE | https://doi.

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Impact of maternal weight on pregnancy outcomes: a systematic review

Cited by 13 publications

References 45 publications

Prevalence and determinants of non-communicable diseases risk factors among reproductive aged women of Nepal: Results from Nepal Demographic Health Survey 2016

Prevalence and determinants of non-communicable diseases risk factors among reproductive aged women of Nepal: Results from Nepal Demographic Health Survey 2016

Maternal Risk Factors Associated with Low Birth Weight in Indonesia

Prevalence of anaemia and low intake of dietary nutrients in pregnant women living in rural and urban areas in the Ashanti region of Ghana

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