scholarly journals Stunting among children Indonesian urban areas: What is the risk factors?

2020 ◽  
Vol 8 (1) ◽  
pp. 1
Author(s):  
Tri Siswati ◽  
Trynke Hookstra ◽  
Hari Kusnanto
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Urban Areas ◽  
Multivariate Logistic Regression Analysis ◽  
Secondary Data ◽  
Cross Sectional ◽  
Factors Associated ◽  
Economic Level ◽  
Low Education

<p>ABSTRAK</p><p>Latar Belakang: Stunting adalah malnutrisi kronis yang dapat terjadi pada semua balita termasuk balita di daerah perkotaan. <br />Tujuan: Penelitian ini bertujuan untuk mengetahui faktor risiko stunting pada anak-anak 0-59 bulan di perkotaan di Indonesia.<br />Metode: Penelitian ini merupakan penelitian cross sectional dengan menggunakan data sekunder berdasarkan Riskesdas tahun 2013. Sampel berjumlah 13.248 anak usia 0-59 bulan dari 33 provinsi, yang tinggal di daerah perkotaan, lahir tunggal (37 minggu), usia ≥37 minggu kehamilan, skor TB/U -5,99 hingga TB/U 5,99 SD, dan data yang diobservasi lengkap. Variabel bebas adalah karakteristik anak (usia, jenis kelamin, berat dan panjang lahir); dan karakteristik rumah tangga (usia orang tua, tinggi badan orang tua, pendidikan, pekerjaan, tingkat ekonomi), sedangkan variabel terikat adalah stunting. Analisis dilakukan dengan regresi logistik multivariat menggunakan Stata13.<br />Hasil: Faktor yang berhubungan dengan terjadinya stunting balita di perkotaan adalah BBLR (AOR 1,2 CI 95% 1,09-1,32); dan bayi lahir pendek (AOR 1,16 CI95%: 1,99-1,23) dan karakteristik rumah tangga seperti ayah pendek (AOR 1,24, CI95% 1,18-1,31); ibu pendek (AOR 1,23, CI95% 1,17-1,29); ibu berpendidikan rendah (AOR 1,14, CI 95% 1,02-1,23); ayah berpendidikan rendah (AOR 1,13, CI95% 1,02-1,23), dan tingkat ekonomi menengah dan rendah (AOR 1,12, CI 95% 1,06-1,19; AOR 1,24, CI95% 1,15-1,33).<br /> Kesimpulan: Faktor yang berhubungan dengan stunting balita di perkotaan adalah BBLR dan tinggi badan orang tua.</p><p>KATA KUNCI: balita; determinan; Indonesia; perkotaan; stunting</p><p><br />ABSTRACT</p><p>Background:Childhood stunting is a form of chronic malnutrition, including among children in the urban area.<br />Objectives: This research was to determine the risk factors of 0-59 months stunting children in urban Indonesia.<br />Methods: This was a cross sectional study using secondary data based Indonesia’s Basic Health Research 2013. Samples were a total of 13,248 children aged 0-59 months from 33 provinces, urban residency, singleton, ≥37 weeks gestation, and HAZ score -5.99 to 5.99 SD. Independent variables were children characteristics (age, sex, size of birth); and household characteristics (parental age, high, education, employment, economic level), while the dependent variable was stunting. Multivariate logistic regression analysis was performed using Stata 13.<br />Results: Children characteristics such as low birth weight (AOR 1.2 CI 95% 1.09-1.32); and short newborn length (AOR 1.16 CI95%:1.99-1.23) and stature father (AOR 1.24, CI95% 1.18-1.31) and mother (AOR 1.23, CI95% 1.17-1.29); maternal low education (AOR 1.14, CI 95% 1.02-1.23); paternal low education(AOR 1.13, CI95% 1.02-1.23), low middle economic level (AOR 1.12, CI 95% 1.06-1.19; AOR 1.24, CI95% 1.15-1.33) were factors associated with urban stunting children.<br />Conclusion: Low birth weight and short stature were dominant factors associated with stunting children in Indonesian urban areas.</p><p>KEYWORDS: children, determinant, Indonesian, urban, stunting</p>

scholarly journals Factors associated with low birth weight in Afghanistan: a cross-sectional analysis of the demographic and health survey 2015

BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e025715 ◽  
Author(s):  
Rajat Das Gupta ◽  
Krystal Swasey ◽  
Vanessa Burrowes ◽  
Mohammad Rashidul Hashan ◽  
Gulam Muhammed Al Kibria
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Health Survey ◽  
Urban Areas ◽  
Maternal Education ◽  
Multivariable Analysis ◽  
Demographic And Health Survey ◽  
Secondary Outcome ◽  
Cross Sectional ◽  
Factors Associated

ObjectivesThis study aimed to investigate the factors associated with low birth weight (LBW) in Afghanistan.DesignCross-sectional study.SettingThis study used data collected from the Afghanistan Demographic and Health Survey 2015.ParticipantsFacility-based data from 2773 weighted live-born children enrolled by a two-stage sampling strategy were included in our analysis.Primary and secondary outcome measuresThe primary outcome was LBW, defined as birth weight <2.5kg.ResultsOut of 2773 newborns, 15.5% (n=431) had LBW. Most of these newborns were females (58.3%, n=251), had a mother with no formal schooling (70.5%, n=304), lived in urban areas (63.4%, n=274) or lived in the Central region of Afghanistan (59.7%, n=257). In multivariable analysis, residence in Central (adjusted OR (AOR): 3.4; 95% CI 1.7 to 6.7), Central Western (AOR: 3.0; 95% CI 1.5 to 5.8) and Southern Western (AOR: 4.0; 95% CI 1.7 to 9.1) regions had positive association with LBW. On the other hand, male children (AOR: 0.5; 95% CI 0.4 to 0.8), newborns with primary maternal education (AOR: 0.5; 95% CI 0.3 to 0.8), birth interval ≥48 months (AOR: 0.4; 95% CI 0.1 to 0.8), belonging to the richest wealth quintile (AOR: 0.2; 95% CI 0.1 to 0.6) and rural residence (AOR: 0.3; 95% CI 0.2 to 0.6) had decreased odds of LBW.ConclusionsMultiple factors had association with LBW in Afghanistan. Maternal, Neonatal and Child Health programmes should focus on enhancing maternal education and promoting birth spacing to prevent LBW. To reduce the overall burden of LBW, women of the poorest wealth quintiles, and residents of Central, Central Western and South Western regions should also be prioritised. Further exploration is needed to understand why urban areas are associated with higher likelihood of LBW. In addition, research using nationally representative samples are required.

scholarly journals Prevalence and risk factors associated with low birth weight babies-a cross sectional study

2021 ◽  
Vol 8 (7) ◽  
pp. 1168
Author(s):  
Gurunathan Gopal
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Gestational Age ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Maternal Risk ◽  
Factors Associated ◽  
The World

Background: Babies with a birth weight of less than 2500 grams, irrespective of the period of their gestation are termed as low birth weight (LBW) babies. Despite consistent efforts to improve the quality of maternal and child health, more than twenty million LBW babies are born every year throughout the world. The present study was to explore the effects of various maternal risk factors associated with low birth-weight of institutionally delivered newborns. Across the world, neonatal mortality is 20 times more likely for LBW babies compared to normal birth weight (NBW) babies (>2.5 kg).Methods: A cross sectional study was conducted in neonatal intensive care unit (NICU) of ACS Medical College and Hospital, Chennai from December 2019 to October 2020. Altogether 350 babies were taken who were delivered at ACS hospital.Results: The number of times of ANC attendance was also significantly associated with LBW, odds ratio (OR)=1.296, and p=0.001. The number of meals was not associated with LBW OR=0.946, and p=0.831. The gestational age assessed as completed weeks of pregnancy was significantly associated with LBW OR=3.302; p=0.00001.Conclusions: This study suggests that there are several factors interplaying which lead to LBW babies. Socio-demographic factors (maternal age and gestational age) and antenatal care are more important.

scholarly journals FACTORS ASSOCIATED WITH LOW BIRTH WEIGHT AMONG NEWBORNS IN ETHIOPIA

2020 ◽  
Vol 6 (1) ◽  
pp. 1-6
Author(s):  
Arif Hussen Jamie ◽  
Abduseme Mohammed Ahmed
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Gestational Age ◽  
Odds Ratio ◽  
Previous History ◽  
Multivariate Logistic Regression Analysis ◽  
Sampling Technique ◽  
Sub Saharan Africa ◽  
Cross Sectional ◽  
Factors Associated

Background: Worldwide more than 20 million low birth weights occur annually with the incidence of 15 to 20%, majority of this occur in low- and middle-income countries and 95.6% occur in developing nations. Its regional estimate was 28% in South Asia, 13% in sub-Saharan Africa and 13% in least developed countryObjective:  To assess factors associated with low birth weight among newborns in Jugal Hospital, Harari Regional State, Ethiopia.Methods: A cross-sectional study was conducted among newborns in Jugal hospital, Ethiopia from June 01 to July 10, 2019. Systematic random sampling technique was used to select the study subjects. Multivariate logistic regression analysis was used to identify factors associated with low birth weight among newbornsResults: The magnitude of low birth weight was 19.53%. Women who had previous history of low birth weight had 5.21 times higher odds ratio of delivered low birth weight baby than their counterparts [AOR = 5.21, 95% CI: (1.5-14.2)], and pregnant women who delivered before 37 weeks of gestational age had 4.8 times higher odds ratio of delivered low birth weight neonates than those delivered at term [AOR = 4.8, 95% CI: (1.3-10.4)]Conclusion: The prevalence of low birth weight in Harar, Jugal Hospital was 19.53%. Low birth weight in the previous pregnancy and gestational age 37 weeks, and showed significant association with birth weight neonates. Governmental and non-governmental organizations working on maternal and child health should focus on identified factors in order to tackle the problem of birth weight.

scholarly journals P2-445 Maternal risk factors associated with low birth weight in Wardha, India

2011 ◽  
Vol 65 (Suppl 1) ◽  
pp. A344-A344
Author(s):  
C. Maliye ◽  
M. Taywade ◽  
S. Gupta ◽  
P. Deshmukh ◽  
B. Garg
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Maternal Risk Factors ◽  
Maternal Risk ◽  
Factors Associated

scholarly journals A study on predictors of low birth weight

2021 ◽  
Vol 8 (4) ◽  
pp. 689
Author(s):  
Jillela Mahesh Reddy ◽  
Sasi Priya Aravalli
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Signs And Symptoms ◽  
Educational Status ◽  
Premature Delivery ◽  
Social Risk ◽  
Social Risk Factors ◽  
Maternal Weight ◽  
Cross Sectional

Background: purpose of this study was to determine prevalence of maternal and social risk factors of low birth weight. The purpose of this study is to prevalence of maternal and social risk factors of low birth weight.Methods: The cross-sectional and comparative study was carried out by reviewing medical records of newborn delivered for one year in 250 newborn. Birth weight was categorized into two as low birth weight (birth weight <2500 grams), considered as cases, and normal birth weight (birth weight ≥2500 grams), considered as controls or the reference birth weight.Results: In our study mother’s age, socioeconomic, educational status, occupation as significant variables to be associated with low birth weight. caesarean section increased significantly with decrease in gestational age and maternal weight, history of abortion, iron supplementation Hypertension, anemia, and DM are Predictors of maternal and obstetric with low birth weight.Conclusions: Prompt identification of causes and prevention of premature delivery, proper knowledge of signs and symptoms of pregnancy complications, and preventing any physical trauma or its potential causes are recommended during pregnancy to prevent low birth weight. 

scholarly journals Prevalence, mortality and risk factors associated with very low birth weight preterm infants: an analysis of 33 years

2020 ◽  
Vol 96 (3) ◽  
pp. 327-332
Author(s):  
Julia Damiani Victora ◽  
Mariangela Freitas Silveira ◽  
Cristian Tedesco Tonial ◽  
Cesar Gomes Victora ◽  
Fernando Celso Barros ◽  
...  
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Preterm Infants ◽  
Very Low Birth Weight ◽  
Factors Associated

scholarly journals Prevalence of Mild Cognitive Impairment in Rural Thai Older People, Associated Risk Factors and their Cognitive Characteristics

2020 ◽  
Vol 10 (1) ◽  
pp. 38-45 ◽  
Author(s):  
Jiranan Griffiths ◽  
Lakkana Thaikruea ◽  
Nahathai Wongpakaran ◽  
Peeraya Munkhetvit
Keyword(s):  
Risk Factors ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Older People ◽  
Significant Risk ◽  
Depression Scale ◽  
Cross Sectional ◽  
Factors Associated ◽  
Low Education ◽  
Rural Thailand

Introduction: Mild cognitive impairment (MCI) is a transitional stage between normal cognition and dementia. A review showed that 10–15% of those with MCI annually progressed to Alzheimer’s disease. Objective: This study aimed to investigate the prevalence and risk factors associated with MCI as well as the characteristics of cognitive deficits among older people in rural Thailand. Methods: A cross-sectional study in 482 people who were 60 years old and over was conducted in northern Thailand. The assessments were administered by trained occupational therapists using demographic and health characteristics, Mental Status Examination Thai 10, Activities of Daily Living – Thai Assessment Scale, 15-item Geriatric Depression Scale and the Montreal Cognitive Assessment-Basic (MoCA-B, Thai version). Results: The mean age of MCI was 68.3 ± 6.82 years, and most had an education ≤4 years. The prevalence of MCI in older people was 71.4% (344 out of 482), and it increased with age. Low education and diabetes mellitus (DM) were the significant risk factors associated with cognitive decline. Older people with MCI were more likely to have an education ≤4 years (RR 1.74, 95% CI 1.21–2.51) and DM (RR 1.19, 95% CI 1.04–1.36) than those who did not. The 3 most common cognitive impairments according to MoCA-B were executive function (86%), alternating attention (33.1%) and delayed recall (31.1%). Conclusion: The prevalence of MCI in older Thai people in a rural area is high compared with that in other countries. The explanation might be due to low education and underlying disease associated with MCI. A suitable program that can reduce the prospects of MCI in rural Thailand is needed.

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