scholarly journals Prevalence of low birth weight and its association with maternal body weight status in selected countries in Africa: a cross-sectional study

BMJ Open ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. e020410 ◽  
Author(s):  
Zhifei He ◽  
Ghose Bishwajit ◽  
Sanni Yaya ◽  
Zhaohui Cheng ◽  
Dongsheng Zou ◽  
...  
Keyword(s):  
Body Weight ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Burkina Faso ◽  
Weight Status ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Childbearing Age ◽  
Maternal Body ◽  
Cross Sectional

ObjectivesThe present study aimed to estimate the prevalence of low birth weight (LBW), and to investigate the association between maternal body weight measured in terms of body mass index (BMI) and birth weight in selected countries in Africa.SettingUrban and rural household in Burkina Faso, Ghana, Malawi, Senegal and Uganda.ParticipantsMothers (n=11 418) aged between 15 and 49 years with a history of childbirth in the last 5 years.ResultsThe prevalence of LBW in Burkina Faso, Ghana, Malawi, Senegal and Uganda was, respectively, 13.4%, 10.2%, 12.1%, 15.7% and 10%. Compared with women who are of normal weight, underweight mothers had a higher likelihood of giving birth to LBW babies in all countries except Ghana. However, the association between maternal BMI and birth weight was found to be statistically significant for Senegal only (OR=1.961 (95% CI 1.259 to 3.055)).ConclusionUnderweight mothers in Senegal share a greater risk of having LBW babies compared with their normal-weight counterparts. Programmes targeting to address infant mortality should focus on promoting nutritional status among women of childbearing age. Longitudinal studies are required to better elucidate the causal nature of the relationship between maternal underweight and LBW.

scholarly journals Sex, Conception Interval, Gestational Age, Apgar Score, and Anthropometric Surrogates in relation to Birth Weight of Bangladeshi Newborns: A Cross-Sectional Study

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Bably Sabina Azhar ◽  
Md. Monirujjaman ◽  
Kazi Saiful Islam ◽  
Sadia Afrin ◽  
Md. Sabir Hossain
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Gestational Age ◽  
Apgar Score ◽  
Rural Areas ◽  
Weight Status ◽  
Cross Sectional Study ◽  
Anthropometric Parameters ◽  
Cross Sectional ◽  
Infant Birth

In developing countries, where about 75% of births occur at home or in the community, logistic problems prevent the weighing of every newborn child. Baby born with a weight less than 2,500 g is considered low birth weight, since below this value birth-specific infant mortality begins to rise rapidly. In Bangladesh, the prevalence of low birth weight is unacceptably high. Infant's sex differences, birth to conception interval, gestational age, and Apgar score are associated with infant birth weight. To screen low-birth-weight babies, simple anthropometric parameters can be used in rural areas where 80–90% of deliveries take place. A sample of 343 newborn singletons, 186 male and 157 female babies, were studied in Southwest region of Bangladesh to examine the birth weight status of newborns and to identify the relationship between birth weight and other anthropometric parameters of newborns. The mean birth weight was 2754.81±465.57 g, and 28.6% were low-birth-weight (<2,500 g) babies. All key anthropometric parameters of the newborns significantly correlated with infant birth weight (P=0.05). Mid upper arm circumference and chest circumference were identified as the optimal surrogate indicators of LBW babies. In the community where weighing of newborns is difficult, these measurements can be used to identify the LBW babies.

scholarly journals Birth Weight Status of the New Born Babies Born at Dhaka Medical College Hospital

1970 ◽  
Vol 17 (2) ◽  
pp. 95-98
Author(s):  
AR Mahmood ◽  
GM Sharful Haque ◽  
Tahera Parvin ◽  
SR Karim ◽  
K Osman ◽  
...  
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Weight Status ◽  
Cross Sectional Study ◽  
Medical College Hospital ◽  
Antenatal Visit ◽  
College Hospital ◽  
Cross Sectional ◽  
New Born ◽  
Medical College

A cross-sectional study was carried out to determine the birth weight status of the newborn babies born at Dhaka Medical College Hospital as well as to find out the prevalence of low birth weight among them. All the new born babies (202) born at the labour room of Dhaka Medical College Hospital during the specified period were included in the study. Maximum newborn babies (78.71%) had birth weight 2.5Kg or more and 21.29% had low birth weight (<2.5 Kg). It was found that mean weight of newborn babies was 2.73 Kg and standard deviation was ± 0.52 Kg. Among them 93.56% were full term babies. In a developing country like ours, occurrence of low birth weight is still very alarming, although it is preventable. Emphasis on health education to inform all the women during antenatal visit about the consequences of low birth weight and significance of delivering the babies with normal birth weight is recommended.   doi: 10.3329/taj.v17i2.3454   TAJ 2004; 17(2): 95-98

scholarly journals Changing trends of birth weight with maternal age: a cross-sectional study in Xi'an city of Northwestern China

2020 ◽  
Author(s):  
Shanshan Wang ◽  
Liren Yang ◽  
Li Shang ◽  
Wenfang Yang ◽  
Cuifang Qi ◽  
...  
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Maternal Age ◽  
Additive Model ◽  
Cross Sectional Study ◽  
Birth Date ◽  
Childbearing Age ◽  
Birth Registry ◽  
Cross Sectional ◽  
Live Births

Abstract Background: Most studies have shown that maternal age is associated with birth weight. However, the specific relationship between each additional year of maternal age and birth weight remains unclear. The study aimed to analyze the specific association between maternal age and birth weight. Methods: Raw data for all live births from 2015 to 2018 were obtained from the Medical Birth Registry of Xi’an, China. A total of 490143 mother-child pairs with full-term singleton live births and the maternal age ranging from 20 to 40 years old were included in our study. Birth weight, gestational age, birth date of the newborns, maternal birth date, residence and ethnicity were collected. Generalized additive model and two-piece wise linear regression model were used to analyze the specific relationships between maternal age and birth weight, risk of low birth weight, and risk of macrosomia. Results: The relationships between maternal age and birth weight, risk of low birth weight, and risk of macrosomia were nonlinear. Birth weight increased 16.204 g per year when maternal age is less than 24 years old (95%CI: 14.323, 18.086), and increased 12.051g per year when maternal age ranged from 24 to 34 years old (95%CI: 11.609, 12.493), then decreased 0.824g per year (95% CI: -3.112, 1.464). The risk of low birth weight decreased with the increase of maternal age until 36 years old (OR= 0.917, 95%CI: 0.903, 0.932 when maternal age younger than 27 years old; OR= 0.965, 95%CI: 0.955, 0.976 when maternal age ranging from 27 to 36 years old), then increased when maternal age older than 36 years old (OR=1.133, 95%CI: 1.026, 1.250). The risk of macrosomia increased with the increase of maternal age (OR=1.102, 95%CI: 1.075, 1.129 when maternal age younger than 24 years old; OR=1.065, 95%CI: 1.060, 1.071 when maternal age ranged from 24 to 33 years old; OR=1.029, 95%CI: 1.012, 1.046 when maternal age older than 33 years old). Conclusions: For women of childbearing age (20-40 years old), the threshold of maternal age on low birth weight was 36 years old, and the risk of macrosomia increased with the increase of maternal age.

scholarly journals Changing trends of birth weight with maternal age: a cross-sectional study in Xi’an city of Northwestern China

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Shanshan Wang ◽  
Liren Yang ◽  
Li Shang ◽  
Wenfang Yang ◽  
Cuifang Qi ◽  
...  
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Maternal Age ◽  
Additive Model ◽  
Cross Sectional Study ◽  
Birth Date ◽  
Childbearing Age ◽  
Birth Registry ◽  
Cross Sectional ◽  
Live Births

Abstract Background Most studies have shown that maternal age is associated with birth weight. However, the specific relationship between each additional year of maternal age and birth weight remains unclear. The study aimed to analyze the specific association between maternal age and birth weight. Methods Raw data for all live births from 2015 to 2018 were obtained from the Medical Birth Registry of Xi’an, China. A total of 490,143 mother-child pairs with full-term singleton live births and the maternal age ranging from 20 to 40 years old were included in our study. Birth weight, gestational age, neonatal birth date, maternal birth date, residence and ethnicity were collected. Generalized additive model and two-piece wise linear regression model were used to analyze the specific relationships between maternal age and birth weight, risk of low birth weight, and risk of macrosomia. Results The relationships between maternal age and birth weight, risk of low birth weight, and risk of macrosomia were nonlinear. Birth weight increased 16.204 g per year when maternal age was less than 24 years old (95%CI: 14.323, 18.086), and increased 12.051 g per year when maternal age ranged from 24 to 34 years old (95%CI: 11.609, 12.493), then decreased 0.824 g per year (95% CI: -3.112, 1.464). The risk of low birth weight decreased with the increase of maternal age until 36 years old (OR = 0.917, 95%CI: 0.903, 0.932 when maternal age was younger than 27 years old; OR = 0.965, 95%CI: 0.955, 0.976 when maternal age ranged from 27 to 36 years old), then increased when maternal age was older than 36 years old (OR = 1.133, 95%CI: 1.026, 1.250). The risk of macrosomia increased with the increase of maternal age (OR = 1.102, 95%CI: 1.075, 1.129 when maternal age was younger than 24 years old; OR = 1.065, 95%CI: 1.060, 1.071 when maternal age ranged from 24 to 33 years old; OR = 1.029, 95%CI: 1.012, 1.046 when maternal age was older than 33 years old). Conclusions For women of childbearing age (20–40 years old), the threshold of maternal age on low birth weight was 36 years old, and the risk of macrosomia increased with the increase of maternal age.

scholarly journals Is there a further acceleration in the age at onset of menarche? A cross-sectional study in 1840 school children focusing on age and bodyweight at the onset of menarche

2009 ◽  
Vol 160 (1) ◽  
pp. 107-113 ◽  
Author(s):  
A M Bau ◽  
A Ernert ◽  
L Schenk ◽  
S Wiegand ◽  
P Martus ◽  
...  
Keyword(s):  
Body Weight ◽  
Weight Status ◽  
Age At Onset ◽  
Age Groups ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Age At Menarche ◽  
Obesity Prevalence ◽  
Sectional Study ◽  
Cross Sectional

ObjectiveMore than 30 years ago Frisch and Revelle proposed a body weight threshold for the onset of menarche. Based on this hypothesis, a further acceleration of age at menarche can be expected in times of childhood obesity.DesignA cross-sectional study of 1840 healthy school girls (Berlin school children's cohort, BSCOC) within the age groups 10–15 years was conducted in 2006–2007.MethodsMedian age of menarche was calculated by Kaplan–Meier survival analysis. Bi- and multivariate analyses were performed to analyze the associations between menarche age and weight status. A locally weighted regression was used to analyze the relationship respectively between height, weight, and body mass index (BMI)–SDS and age stratified by menarche status.ResultsNine hundred and thirty six (50.9%) girls had already experienced menarche at a median age of 12.8 years. Two hundred and thirty six of these girls reached their menarche recently. Obese/overweight girls reached menarche significantly earlier (12.5 years), than normal weight (12.9 years), and underweight girls (13.7 years). The mean total body weight was similar in all girls at menarche irrespective of age (mean 51.1 kg,s.d.8.1) and height. BMI–SDS remained the only significant factor for onset of menarche within a multiple regression model for early menarche (OR 2.1, 95% confidence interval 1.3–3.3,P=0.002).ConclusionsAge at onset of menarche did not accelerate even in a childhood population with more than 10% obesity prevalence. Nevertheless, a negative correlation of BMI–SDS with age at onset of menarche exists.

scholarly journals Changing trends of birth weight with maternal age: a cross-sectional study in Xi'an city of Northwestern China

2020 ◽  
Author(s):  
Shanshan Wang ◽  
Liren Yang ◽  
Li Shang ◽  
Wenfang Yang ◽  
Cuifang Qi ◽  
...  
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Maternal Age ◽  
Additive Model ◽  
Cross Sectional Study ◽  
Birth Date ◽  
Childbearing Age ◽  
Birth Registry ◽  
Cross Sectional ◽  
Specific Association

Abstract Background Most studies have shown that maternal age was associated with birth weight. However, specific relationships between each additional year of maternal age and birth weight remain unclear. The study aimed to analyze the specific association between maternal age at birth and birth weight. Methods Raw data for all live births from 2015 to 2018 was obtained from the Medical Birth Registry of Xi’an, China. 490143 mother-child pairs with full-term singleton live birth and the maternal age ranged from 20 to 40 years old were included in our study. Birth weight, gestational age, the birth date of the newborns, maternal birth date, residence, and ethnicity were collected. Generalized additive model and two-piece wise linear regression model were used to analyze the specific relationship between maternal age and birth weight, risk of low birth weight, and risk of macrosomia. Results The relationships between maternal age and birth weight, risk of low birth weight, and risk of macrosomia were nonlinear. Birth weight increased 16.204 g per year before age 24(95%CI: 14.323, 18.086), and increased 12.051g per year when maternal age ranged from 24 to 34(95%CI: 11.609, 12.493), then decreased 0.824g per year (95% CI: -3.112, 1.464). The risk of low birth weight decreased until age 36(OR= 0.917, 95%CI: 0.903, 0.932 for maternal age younger than 27; OR= 0.965, 95%CI: 0.955, 0.976 for maternal age ranged from 27 to 36), then increased (OR= 1.133, 95%CI: 1.026, 1.250). The risk of macrosomia increased with the increase of maternal age (OR=1.102, 95%CI: 1.075, 1.129 for maternal age younger than 24; OR=1.065, 95%CI: 1.060, 1.071 for maternal age ranged from 24 to 33; OR= 1.029, 95%CI: 1.012, 1.046 for maternal age older than 33). Conclusions For women of childbearing age (20-40 years old), the threshold maternal age for low birth weight was 36 years old, and the risk of macrosomia increased with the increase of maternal age.

scholarly journals Changing trends of birth weight with maternal age: a cross-sectional study in Xi'an city of Northwestern China

2020 ◽  
Author(s):  
Shanshan Wang ◽  
Liren Yang ◽  
Li Shang ◽  
Wenfang Yang ◽  
Cuifang Qi ◽  
...  
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Maternal Age ◽  
Additive Model ◽  
Cross Sectional Study ◽  
Birth Date ◽  
Childbearing Age ◽  
Birth Registry ◽  
Cross Sectional ◽  
Live Births

Abstract Background: Most studies have shown that maternal age is associated with birth weight. However, the specific relationship between each additional year of maternal age and birth weight remains unclear. The study aimed to analyze the specific association between maternal age and birth weight.Methods: Raw data for all live births from 2015 to 2018 were obtained from the Medical Birth Registry of Xi’an, China. A total of 490143 mother-child pairs with full-term singleton live births and the maternal age ranging from 20 to 40 years old were included in our study. Birth weight, gestational age, neonatal birth date, maternal birth date, residence and ethnicity were collected. Generalized additive model and two-piece wise linear regression model were used to analyze the specific relationships between maternal age and birth weight, risk of low birth weight, and risk of macrosomia.Results: The relationships between maternal age and birth weight, risk of low birth weight, and risk of macrosomia were nonlinear. Birth weight increased 16.204 g per year when maternal age was less than 24 years old (95%CI: 14.323, 18.086), and increased 12.051g per year when maternal age ranged from 24 to 34 years old (95%CI: 11.609, 12.493), then decreased 0.824g per year (95% CI: -3.112, 1.464). The risk of low birth weight decreased with the increase of maternal age until 36 years old (OR= 0.917, 95%CI: 0.903, 0.932 when maternal age was younger than 27 years old; OR= 0.965, 95%CI: 0.955, 0.976 when maternal age ranged from 27 to 36 years old), then increased when maternal age was older than 36 years old (OR=1.133, 95%CI: 1.026, 1.250). The risk of macrosomia increased with the increase of maternal age (OR=1.102, 95%CI: 1.075, 1.129 when maternal age was younger than 24 years old; OR=1.065, 95%CI: 1.060, 1.071 when maternal age ranged from 24 to 33 years old; OR=1.029, 95%CI: 1.012, 1.046 when maternal age was older than 33 years old).Conclusions: For women of childbearing age (20-40 years old), the threshold of maternal age on low birth weight was 36 years old, and the risk of macrosomia increased with the increase of maternal age.

scholarly journals Body weight perception by college going adolescents of North Karnataka, India- A cross sectional study

2015 ◽  
Vol 3 (2) ◽  
pp. 106-109 ◽  
Author(s):  
B Banjade ◽  
VA Naik ◽  
AB Narasannavar
Keyword(s):  
Body Weight ◽  
Weight Status ◽  
Weight Perception ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Sectional Study ◽  
Cross Sectional ◽  
College Going ◽  
Effective Role ◽  
Body Weight Perception

Background: Adolescence (10-19 year) is a period of transition from childhood to adulthood. The factor that determines how adolescents feel about themselves is ‘Body image’. The objective of study is to understand body weight perception of adolescents.Methods: This cross-sectional study was conducted in the two Pre- University colleges with a sample of 330 adolescents. Pre-designed and pre-tested questionnaire was used to elicit the required information.Results: 13 % of study participants underestimated their body weight and 11.2 % over estimated their body weight. 82.7% of study subjects perceived themselves as normal weight for their age and height, 7.6% perceived as underweight and 9.7% perceived as overweight/obese.Conclusion: Inappropriate perceptions about body weight leads to increase in the problems related to overweight/obesity. Lack of knowledge about and access to growth charts has probably made difficult for adolescents to evaluate their weight status objectively. So, college can play an effective role to help them to know actual body weightNepal Journal of Medical Sciences Vol.3(2) 2014: 106-109

scholarly journals Changing trends of birth weight with maternal age: a cross-sectional study in Xi'an city of Northwestern China

2020 ◽  
Author(s):  
Shanshan Wang ◽  
Liren Yang ◽  
Li Shang ◽  
Wenfang Yang ◽  
Cuifang Qi ◽  
...  
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Maternal Age ◽  
Additive Model ◽  
Cross Sectional Study ◽  
Birth Date ◽  
Childbearing Age ◽  
Birth Registry ◽  
Cross Sectional ◽  
Live Births

Abstract Background: Most studies have shown that maternal age is associated with birth weight. However, the specific relationship between each additional year of maternal age and birth weight remains unclear. The study aimed to analyze the specific association between maternal age and birth weight. Methods: Raw data for all live births from 2015 to 2018 were obtained from the Medical Birth Registry of Xi’an, China. A total of 490143 mother-child pairs with full-term singleton live births and the maternal age ranging from 20 to 40 years old were included in our study. Birth weight, gestational age, neonatal birth date, maternal birth date, residence and ethnicity were collected. Generalized additive model and two-piece wise linear regression model were used to analyze the specific relationships between maternal age and birth weight, risk of low birth weight, and risk of macrosomia. Results: The relationships between maternal age and birth weight, risk of low birth weight, and risk of macrosomia were nonlinear. Birth weight increased 16.204 g per year when maternal age was less than 24 years old (95%CI: 14.323, 18.086), and increased 12.051g per year when maternal age ranged from 24 to 34 years old (95%CI: 11.609, 12.493), then decreased 0.824g per year (95% CI: -3.112, 1.464). The risk of low birth weight decreased with the increase of maternal age until 36 years old (OR= 0.917, 95%CI: 0.903, 0.932 when maternal age was younger than 27 years old; OR= 0.965, 95%CI: 0.955, 0.976 when maternal age ranged from 27 to 36 years old), then increased when maternal age was older than 36 years old (OR=1.133, 95%CI: 1.026, 1.250). The risk of macrosomia increased with the increase of maternal age (OR=1.102, 95%CI: 1.075, 1.129 when maternal age was younger than 24 years old; OR=1.065, 95%CI: 1.060, 1.071 when maternal age ranged from 24 to 33 years old; OR=1.029, 95%CI: 1.012, 1.046 when maternal age was older than 33 years old). Conclusions: For women of childbearing age (20-40 years old), the threshold of maternal age on low birth weight was 36 years old, and the risk of macrosomia increased with the increase of maternal age.

scholarly journals The Prevalence of Necrotizing Enterocolitis and Associated Factors Among Enteral Fed Preterm and Low Birth Weight Neonates Admitted in Selected Public Hospitals in Addis Ababa, Ethiopia: A Cross-sectional Study

2021 ◽  
Vol 8 ◽  
pp. 2333794X2110196
Author(s):  
Sitotaw Molla Mekonnen ◽  
Daniel Mengistu Bekele ◽  
Fikrtemariam Abebe Fenta ◽  
Addisu Dabi Wake
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Necrotizing Enterocolitis ◽  
Gestational Age ◽  
Associated Factors ◽  
Addis Ababa ◽  
Cross Sectional Study ◽  
Public Hospitals ◽  
Sectional Study ◽  
Cross Sectional

Necrotizing enterocolitis (NEC) remains to be the most critical and frequent gastrointestinal disorder understood in neonatal intensive care units (NICU). The presented study was intended to assess the prevalence of NEC and associated factors among enteral Fed preterm and low birth weight neonates. Institution based retrospective cross-sectional study was conducted on 350 enteral Fed preterm and low birth weight neonates who were admitted at selected public hospitals of Addis Ababa from March 25/2020 to May 10/2020. The data were collected through neonates’ medical record chart review. A total of 350 participants were enrolled in to the study with the response rate of 99.43%. One hundred eighty-four (52.6%) of them were male. The majority 123 (35.1%) of them were (32 + 1 to 34) weeks gestational age. The prevalence of NEC was (25.4%) (n = 89, [95% CI; 21.1, 30.0]). Being ≤28 weeks gestational age (AOR = 3.94, 95% CI [2.67, 9.97]), being (28 + 1 to 32 weeks) gestational age (AOR = 3.65, 95% CI [2.21, 8.31]), birth weight of 1000 to 1499 g (AOR = 2.29, 95% CI [1.22, 4.33]), APGAR score ≤3 (AOR = 2.34, 95% CI [1.32, 4.16]), prolonged labor (AOR = 2.21, 95% CI [1.35, 6.38]), maternal chronic disease particularly hypertension (AOR = 3.2, 95% CI [1.70, 5.90]), chorioamnionitis (AOR = 4.8, 95% CI [3.9, 13]), failure to breath/resuscitated (AOR = 2.1, 95% CI [1.7, 4.4]), CPAP ventilation (AOR = 3.7, 95% CI [1.50, 12.70]), mixed milk (AOR = 3.58, 95% CI [2.16, 9.32]) were factors significantly associated with NEC. Finally, the prevalence of NEC in the study area was high. So that, initiating the programs that could minimize this problem is required to avoid the substantial morbidity and mortality associated with NEC.

Sign in / Sign up

Export Citation Format

Share Document