scholarly journals The effects of maternal age and parity on birth weight in a tribal community of Kinwat, Nanded, Maharashtra, India

2018 ◽  
Vol 7 (11) ◽  
pp. 4451
Author(s):  
Ramdas G. Narwade ◽  
Uttam B. More
Keyword(s):  
Nursing Home ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Maternal Age ◽  
Cross Sectional Study ◽  
Study Data ◽  
Tribal Community ◽  
Cross Sectional ◽  
Childhood Morbidity ◽  
Low Birth Weight Babies

Background: Low birth weight is an important determinant of childhood morbidity and mortality. Birth weight is a significant factor that determines vulnerability of risk of childhood illness and survival. Objective of the study was to correlate the maternal age and parity on birth weight in a tribal community.Methods: A cross-sectional study was carried out during April 2012 to June 2014 in More Nursing Home, Kinwat Dist. Nanded, Maharashtra. A total of 1611 patients from tribal area who delivered in the nursing home were enclosed for the study. Data was analyzed by using SSPS version-18.0.Results: In this study low birth weight babies were seen in 18.56% and 17.78% and 21.47% of female and male babies had low birth weight respectively, which was statistically significant.  Mean birth weight increased as parity of mother increased. Low birth weight babies were born to the mother of younger age which was statistically significant.Conclusions: Health care of young age tribal mothers is important factor in curbing low birth weight babies.

scholarly journals Determinan Kejadian Bayi Berat Badan Lahir Rendah (Bblr) di Gorontalo

2020 ◽  
Vol 11 (2) ◽  
pp. 37-42
Author(s):  
Firdausi Ramadhani ◽  
Yanti Hz. Hano
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Family Income ◽  
Sampling Technique ◽  
Cross Sectional Study ◽  
P Value ◽  
Sectional Study ◽  
Cross Sectional ◽  
Purposive Sampling ◽  
Low Birth Weight Babies

Penelitian ini bertujuan untuk mengetahui beberapa faktor yang berhubungan dengan kejadian bayi Bayi Berat Badan Lahir Rendah (BBLR) di Wilayah Kerja Puskesmas Limboto Kabupaten Gorontalo. Metode yang digunakan adalah  Observasional Analitik dengan pendekatan cross sectional study. Populasi adalah seluruh ibu yang melahirkan berjumlah 853 responden, dengan Sampel yaitu sebanyak 202 responden. Teknik pengambilan sampel menggunakan tekhnik Purposive Sampling. Analisis data menggunakan uji Chi Square. Hasil penelitian menunjukkan proporsi bayi Berat Badan Lahir Rendah (BBLR) 34 responden (16,8%) dan bayi Berat Badan Lahir Normal (BBLN) 168 responden (83,2%). Hasil bivariat didapatkan bahwa ada hubungan pengetahuan (p-value 0,044), pendapatan keluarga (p-value 0,029) dengan kejadian bayi Berat Badan Lahir Rendah (BBLR). Sedangkan, jumlah paritas (p value 0,523),  jarak kehamilan (p-value 0,659), dan Kekurangan Energi Kronik (KEK) (p-value 0,637) tidak memiliki hubungan yang bermakna secara statisti dengan kejadian bayi Berat Badan Lahir Rendah (BBLR).    This study aims to determine several factors associated with the incidence of low birth weight babies (LBW) in the Limboto Health Center, Gorontalo District. The method used is analytic observational with a cross sectional study approach. The population was all mothers who gave birth totaling 853 respondents, with a sample of 202 respondents. The sampling technique used purposive sampling technique. The results showed that the proportion of Low Birth Weight (LBW) babies was 34 respondents (16.8%) and Normal Birth Weight (BBLN) babies were 168 respondents (83.2%). The bivariate results showed that there was a relationship between knowledge (p value 0.044), family income (p value 0.029) with the incidence of low birth weight babies (LBW). Meanwhile, the parity (p value 0.523), pregnancy distance (p-value 0.659), and Chronic Energy Deficiency (P-value 0.637) did not have a statistically significant relationship with the incidence of Low Birth Weight (LBW).

scholarly journals LOW BIRTH WEIGHT BABIES;

2017 ◽  
Vol 24 (08) ◽  
pp. 1176-1180
Author(s):  
Brig® Khalid Mehmood ◽  
Ijaz Ali ◽  
Syed Hyder Raza
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Gestational Age ◽  
Sampling Technique ◽  
Cross Sectional Study ◽  
Data Collection Tool ◽  
Cross Sectional ◽  
Normal Birth ◽  
Low Birth Weight Babies ◽  
Study Setting

Objectives: To determine the proportion of LBW Babies among those deliveredat DHQ Hospital Mirpur. Study design: Descriptive cross sectional study. Setting: DHQ hospitalMirpur AJK. Duration of study: January 2013-May 2013. Sample size: 459 deliveries. Studypopulation: women reporting in Peads OPD of DHQ hospital Mirpur AJ&K with their babiesduring study period. Sampling technique: Convenience method. Data collection tool: Datacollection Performa. Data analysis: SPSS version 14.0.Results: Out of 459 deliveriesconducted at Divisional Head Quarter hospital Mirpur, 149 cases of low birth weight babies(<2500gms) whereas the rest 310 had normal birth weight. Frequency of Low Birth Weight inmale new born babies was high, i.e ratio of male babies were 55% (82) out of 149 individualswhile females were 45% (67). Less than 37 weeks of gestational age, 37% (55) were pretermbabies and 37 – 42 weeks of gestational age, 63% (94) were full term babies.

scholarly journals Faktor Risiko Bayi Berat Lahir Rendah di Rumah Sakit Umum Daerah Haji Makassar

2020 ◽  
Vol 1 (1) ◽  
pp. 16
Author(s):  
Hatijar Hatijar
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Nutritional Status ◽  
Pregnant Women ◽  
Maternal Age ◽  
Health Workers ◽  
Sampling Technique ◽  
P Value ◽  
Cross Sectional ◽  
Low Birth Weight Babies

Low birth weight babies are babies born with a weight less than 2500 grams. LBW (low birth weight) affects the high mortality rate in infants and is at risk of experiencing obstacles in growth and development. LBW is generally caused due to lack of nutrition and nutritional needs from mother to fetus while pregnant women aged less than 20 years and more than 35 years have the risk of giving birth to LBW. The purpose of this study is to determine the risk factors that cause LBW based on maternal age and nutritional status. The research method used was observational with a cross sectional study approach. The sampling technique was random sampling at the Regional Haji Makassar General Hospital in the January to July 2015 period with a total sample of 65 people. Analysis using the Chi Square Test. The results showed that there was a relationship between maternal age, nutritional status of LBW with a value (p value = 0.00 <α = 0.05). Maternal age and nutritional status are factors that influence low birth weight where the results of the study indicate that there is a relationship between maternal age and nutritional status on the incidence of low birth weight. To reduce the incidence of low birth weight, it is necessary to increase counseling about the causes of low birth weight babies by health workers, especially midwives to pregnant women to prevent the risk of low birth weight birth.

scholarly journals Anthropometric surrogates to identify low birth weight babies: hospital based cross-sectional study

2019 ◽  
Vol 6 (5) ◽  
pp. 2098
Author(s):  
Jyothi S. D. ◽  
Raghavendra Doddamani
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Cross Sectional Study ◽  
Anthropometric Measurements ◽  
Upper Arm ◽  
Thigh Circumference ◽  
Cross Sectional ◽  
Arm Circumference ◽  
Low Birth Weight Babies ◽  
Mid Upper Arm Circumference

Background: Birth weight acts as a crucial sensitive and reliable tool to prevent infant and child morbidity and mortality. There has been a considerable interest in recent years for using simple anthropometric measures as an alternative to birth weight. Objective of the study is to determine the cut off values of the anthropometric measurements and to assess the accuracy of the anthropometric surrogates to identify low birth weight babiesMethods: This is a cross sectional study conducted for a period of one year from 1st Dec 2011 to 31st Nov 2012 at Christian fellowship hospital, Oddanchatram, Dindigal, Tamilnadu. Study population included all the live newborns of term gestation at the hospital. A total of 500 newborns were included in the study during the period. Birth weight of the newborn was measured using spring scale to the nearest 25 grams. Head circumference, Chest circumference, Mid Upper Arm Circumference, Foot Length, Thigh circumference, Calf circumference, Crown-hell length were measured using proper guidelines to the nearest 0.1 cm.Results: In the present study, low birth weight was present in 262 (52.4%) of the newborns. Thigh circumference with cut off value of 15 cm had higher sensitivity and specificity of 97.5% and 80.9% respectively. It was followed by Mid upper arm circumference with cut off value of 10 cm, sensitivity of 81.5% and specificity of 93.9%. Thigh circumference and mid upper arm circumference had high area under curve of 0.949 and 0.855 respectively. All the anthropometric measurements were statistically significant at 5% level of significance.Conclusions: Thigh circumference with a cut off of 15 cm, followed by mid upper arm circumference of 10 cm were the better surrogate anthropometric measurements with better sensitivity, specificity to identify low birth weight babies.

scholarly journals Calf circumference to detect low birth weight babies: a comparative study

2019 ◽  
Vol 6 (6) ◽  
pp. 2302
Author(s):  
Pradheep Kumar Kokku ◽  
Himabindu Singh ◽  
Rakesh Kotha ◽  
Arjun Jadhavo ◽  
Alimelu Maddireddi ◽  
...  
Keyword(s):  
Developing Countries ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Head Circumference ◽  
Correlation Coefficients ◽  
Cross Sectional Study ◽  
Calf Circumference ◽  
Community Members ◽  
Cross Sectional ◽  
Low Birth Weight Babies

Background: In developing countries 15 per cent of infants weigh less than 2,500 grams at birth .It is not possible to provide expensive weighing scales to the community members and families due to logistic (carrying a heavy scale) and operational (inability of Trained Birth Attenders to read) problems. Therefore it is essential to find out an alternative method for the estimation of birth weight. Almost 60 per cent of newborns in developing countries are not weighed. Which can lead to an underestimation of the incidence of low birth weight. That’s why  we done  present study  to know the simple indicators to detect low birth weight babies. Aim of this study to compare calf circumference with other Low birth weight indicators as a reliable predictor of low birth weight babies.Methods: It is a cross-sectional study done during period 2018 January to 2018 October done at Niloufer Hospital Hyderabad. Statistical analysis is done using SPSS (version 17) statistical software. For comparison Pearson's Correlation coefficients used.Results: The best correlation was observed with both calf circumference (r=0.818) and head circumference (r=0.744) for identifying babies with birth weight <2 kg. For babies with birth weight <2.5 kg, calf circumference had the highest order of correlation (r = 0.986) followed closely by head circumference (r=0.886).Conclusion: In the absence of a weighing machine, simple measurements like calf circumference is the best indicator in identifying low birth weight babies (<2.5kg) at birth.

scholarly journals Correlation of Maternal Hemoglobin with Birth Weight: A Hospital Based Study

2021 ◽  
Vol 11 (01) ◽  
pp. 13-16
Author(s):  
Hamzullah Khan ◽  
Khalid Khan ◽  
Neelum Shehzadi ◽  
Huma Riaz
Keyword(s):  
Logistic Regression ◽  
Birth Weight ◽  
Standard Deviation ◽  
Low Birth Weight ◽  
Pearson Correlation ◽  
Hemoglobin Concentration ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Low Birth Weight Babies ◽  
The Mean

Objectives: To determine the correlation of maternal Hemoglobin concentration in labor with birth weight. Study design and setting: This was cross sectional study conducted in Qazi Hussain Ahmed Medical Complex, (QHAMC) Medical Teaching Institution Nowshera, from 20th April 2019 to 31st Jan 2020. Methodology: A total of 254 deliveries were assessed. All pregnant ladies in labor, presenting to labor room of QHAMC Nowshera, irrespective of age were included. The weight of babies was recorded at birth. Pearson correlation and logistic regression and relative risk analysis were used to show the relationship and probability of occurrence of low birth weight babies in anemic and non anemic patients. Results: The mean with standard deviation of hemoglobin in mothers was 10.76+1.63 g/dl. The mean with standard deviation of birth weight was 2.71+0.6 kg. The frequency of low birth weight babies was 68(26.77%) with weight less than 2500g at birth. A positive linear correlation of birth weight with level of hemoglobin of mother in labor was statistically significant (p=0.001, r=0.35). Using logistic regression analysis, it was observed that the probability of LBW in pregnant women with hemoglobin<11g/dl was 3.31 times higher (p= 0.001, OR=3.31). Conclusion: The frequency of LBW is 26.7% markedly higher and maternal anemia is

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.

Sign in / Sign up

Export Citation Format

Share Document