scholarly journals Anthropometry and body composition of south Indian babies at birth

2006 ◽  
Vol 9 (7) ◽  
pp. 896-903 ◽  
Author(s):  
S Muthayya ◽  
P Dwarkanath ◽  
T Thomas ◽  
M Vaz ◽  
A Mhaskar ◽  
...  

AbstractObjectivesTo assess the consequences on body composition of increasing birth weight in Indian babies in relation to reported values in Western babies, and to assess the relationship between maternal and neonatal anthropometry and body composition.DesignProspective observational study.SettingBangalore City, India.SubjectsA total of 712 women were recruited at 12.5±3.1 weeks of gestation (mean±standard deviation, SD) and followed up until delivery; 14.5% were lost to follow-up. Maternal body weight, height, mid upper-arm circumference and skinfold thicknesses were measured at recruitment. Weight and body composition of the baby (skinfold thicknesses, mid upper-arm circumference, derived arm fat index and arm muscle index; AFI and AMI, respectively) were measured at birth in hospital.ResultsThe mean±SD birth weight of all newborns was 2.80±0.44 kg. Birth weight was significantly related to the triceps and subscapular skinfold thickness of the baby. In a small number of babies with large birth weight for gestational age, there was a relatively higher normalised AFI relative to AMI than for babies with lower or appropriate birth weight for gestational age. Maternal height and fat-free mass were significantly associated with the baby's length at birth.ConclusionsSkinfold thicknesses in Indian babies were similar to those reported in a Western population with comparable birth weights, and the relationship of AFI to birth weight appeared to be steeper in Indian babies. Thus, measures to increase birth weight in Indian babies should take into account possible adverse consequences on body composition. There were no significant relationships between maternal anthropometry and body composition at birth on multivariate analysis, except for sum of the baby's skinfold thicknesses and maternal fat-free mass (P<0.02).

1998 ◽  
Vol 32 (2) ◽  
pp. 112-117 ◽  
Author(s):  
Anamaría E. Ricalde ◽  
Gustavo Velásquez-Meléndez ◽  
Ana Cristina d'A. Tanaka ◽  
Arnaldo A.F. de Siqueira

OBJECTIVE: In order to determine the relationship between some maternal anthropometric indicators and birth weight, crown-heel length and newborn's head circumference, 92 pregnant women were followed through at the prenatal service of hospital in S. Paulo, Brazil. MATERIAL AND METHOD: The following variables were established for the mother: weight, height, mid-upper arm circumference, pre-pregnancy weight, gestational weight gain and Quetelet's index. For the newborn the following variables were recorded: birth weight, crown-heel length, head circumference and gestational age by Dubowitz's method. RESULTS: Significant associations were noted between gestational age and newborn variables. In addition, maternal mid-arm circumference (MUAC) and pre-pregnancy weight were found to be positively correlated to birth weight (r=0.399; r=0.378, respectively). The multivariate linear regression shows that gestational age, mother's arm circumference and pre-pregnancy weight continue to be significant predictors of birth weight. On the other hand, only gestational age and mother's age was associated with crown-heel length. Similarly MUAC was significantly associated with crown-heel length (r= 0.306; P=0.0030). CONCLUSION: Maternal mid-upper arm circumference is a potential indicator of maternal nutritional status. It could be used in association with other anthropometric measurements, instead of pre-pregnancy weight, as an alternative indicator to assess women at risk of poor pregnancy outcome.


2021 ◽  
Author(s):  
Giridhara R. Babu ◽  
Aritra Das ◽  
Eunice Lobo ◽  
Deepa R. ◽  
Daisy A. John ◽  
...  

Abstract Background: Estimating fat deposition in public hospitals using gold-standard measurements such as high-resolution imaging is unaffordable and it is challenging to use skinfold thickness. We aimed to identify the appropriate substitute marker for skinfold thickness to estimate fat deposition in pregnant women and infants.Methods: The study is part of a prospective cohort study titled, MAASTHI in Bengaluru, from 2016-19. Anthropometric measurements such as body weight, head circumference, mid upper arm circumference (MUAC), and skinfold thickness were measured in pregnant women between 14 to 36 weeks of gestational age; while measurements such as birth weight, head, chest, waist, hip, mid upper arm circumference, and skinfold thickness were recorded for newborns. We calculated Kappa statistics to assess agreement between these anthropometric markers with skinfold thickness. Results: We found the highest amount of agreement between total skinfold thickness and MUAC (Kappa statistic, 0.42; 95% CI 0.38-0.46) in pregnant women. For newborns, the highest agreement with total skinfold thickness was with birth weight (0.57; 95% CI 0.52-0.60). Our results indicate that MUAC higher than 29.2 cm can serve as a suitable alternative to total skinfolds-based assessments for obesity screening in pregnancy in public facilities. Similarly, a birth weight cut-off of 3.45 kg can be considered for classifying obesity among the newborns. Conclusions: Mid upper arm circumference and birth weight can be used as markers of skinfold thickness, reflecting fat deposition in pregnant women and the infant, respectively. These two anthropometric measurements could substitute for skinfold thickness in low- and middle-income urban India settings.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Giridhara R. Babu ◽  
Aritra Das ◽  
Eunice Lobo ◽  
Deepa R ◽  
Daisy A. John ◽  
...  

Abstract Background Estimating total body fat in public hospitals using gold-standard measurements such as air displacement plethysmography (ADP), deuterium oxide dilution, or dual-energy X-ray absorptiometry (DXA) is unaffordable, and it is challenging to use skinfold thickness. We aimed to identify the appropriate substitute marker for skinfold thickness to estimate total body fat in pregnant women and infants. Methods The study is part of a prospective cohort study titled MAASTHI in Bengaluru, from 2016 to 19. Anthropometric measurements such as body weight, head circumference, mid-upper arm circumference (MUAC), and skinfold thickness were measured in pregnant women between 14 and 36 weeks of gestational age; while measurements such as birth weight, head, chest, waist, hip, mid-upper arm circumference, and skinfold thickness were recorded for newborns. We calculated Kappa statistics to assess agreement between these anthropometric markers with skinfold thickness. Results We found the highest amount of agreement between total skinfold thickness and MUAC (Kappa statistic, 0.42; 95 % CI 0.38–0.46) in pregnant women. For newborns, the highest agreement with total skinfold thickness was with birth weight (0.57; 95 % CI 0.52–0.60). Our results indicate that MUAC higher than 29.2 cm can serve as a suitable alternative to total skinfolds-based assessments for obesity screening in pregnancy in public facilities. Similarly, a birth weight cut-off of 3.45 kg can be considered for classifying obesity among newborns. Conclusion Mid-upper arm circumference and birth weight can be used as markers of skinfold thickness, reflecting total body fat in pregnant women and the infant, respectively. These two anthropometric measurements could substitute for skinfold thickness in low- and middle-income urban India settings.


2021 ◽  
pp. 1-12
Author(s):  
Aparna Roy ◽  
T. V. Sekher

Abstract Use of body mass index (BMI) to assess the nutritional status of adolescents requires many resources, especially for country-level assessment. This study aimed to determine the relationship between BMI and mid upper arm circumference (MUAC) among adolescent males and females in India and to examine whether MUAC effectively represents the nutritional status of adolescents. The study utilized anthropometric measurement data collected by India’s National Family Health Survey-4 (2015–16). The weighted sample for analysis included 91,315 female and 14,893 male adolescents. The BMI and MUAC measurements showed a positive correlation in both female and male adolescents. Using BMI-for-age Z-score classifications, 12.7% of the adolescents were undernourished. Using MUAC (in cm) as per NACS (Nutrition Assessment, Counselling, and Support) guidelines and Mramba et al. (2017) classified 22.9% and 3.7% of the adolescents as undernourished respectively. Finally, using the MUAC-for-age Z-score classification, 98.4% of adolescents were determined to be normal and 1.7% undernourished. Sensitivity and specificity tests of the MUAC cut-offs, in comparison with BMI cut-offs, showed that all three MUAC cut-off classifications had high specificity (NACS cut-off: 81.3%; Mramba et al. cut-off (cm): 97.7%; Mramba et al. cut-off (Z-score): 99.1%). The NACS cut-off had moderately high sensitivity (52.2%) but the Mramba et al. cut-offs had low sensitivity (13.3% for the centimetre cut-off and 6.6% for the Z-score cut-off). Sensitivity and specificity tests proved the relationship between BMI and MUAC, and that MUAC represents adolescent nutritional status with considerable efficiency. With further research, it may be established that MUAC is a better and promising measure of adolescent nutrition, having the advantage of needing fewer resources for data collection. The MUAC has the potential to offer a simple and low-resource alternative to BMI to assess nutritional status among adolescents in poor countries.


2021 ◽  
Vol 224 (2) ◽  
pp. S43
Author(s):  
Ashley A. Appiagyei ◽  
Bellington Vwalika ◽  
Anne West Honart ◽  
Andrew Kumwenda ◽  
Chileshe Mabula ◽  
...  

Author(s):  
Nunik Ike Yunia Sari ◽  
◽  
Estin Gita Maringga ◽  

ABSTRACT Background: Stunting can cause various developmental problems in children under five. Stunting can reduce a person productivity at a young age and increase the risks of developing non-communicable diseases when older. This study aimed to determine of maternal and hair zinc level on stunting and developmental disorders in under five aged children. Subjects and Method: This was a case study conducted at Gurah Public Health Center, Kediri Regency, East java, August 4-29, 2020. approach with a fixed disease sampling technique. A sample size of 100 subjects was selected by simple random sampling. The dependent variable was stunting and developmental disorders. The independent variables were pregnant women Mid-Upper Arm Circumference, exclusive breastfeeding, LBW, birth length, hair zinc level. The data were collected by questionnaire, measuring height and weight and checking hair zinc levels in the laboratory. The data were analyzed by path analysis. Results: Child development was influenced by Mid-Upper Arm Circumference (b= 0.12; SE= 0.36; p< 0.001), birth weight (b= 0.29; SE= 0.15; p= 0.042); birth length (b= 0.37; SE= 0.15; p= 0.011), breastfeeding (b= 0.08; SE= 0.04; p= 0.033), stunting (b= 0.39; SE= 0.10; p <0.001), hair zinc levels (b= 0.58; SE= 0.67; p <0.001). Hair zinc levels were affected by birth weight (b= 0.92; SE= 0.04; p <0.001). Stunting was affected by breastfeeding (b= 0.12; SE= 0.04; p <0.001); birth length (b= 0.73; SE= 0.06; p <0.001), zinc levels (b= 0.16; SE= 0.06; p= 0.006) Conclusion: Child development was influenced by Mid-Upper Arm Circumference, birth weight, birth length, breastfeeding, stunting, hair zinc levels. Hair zinc levels were affected by birth weight. Stunting was affected by breastfeeding, birth length, zinc levels. Keywords: maternal determinant factor, hair zinc level, predictor of stunting, developmental disorder Correspondence: Nunik Ike Yunia Sari. School of Health Sciences Karya Husada Kediri. Email: [email protected]. Mobile: +6282257969278. DOI: https://doi.org/10.26911/the7thicph.03.34


2018 ◽  
Vol 24 (8) ◽  
pp. 6203-6205
Author(s):  
Yoga Dwi Oktavianda ◽  
Syahru Ramadhan ◽  
Thalia Mufida ◽  
Ummul Mukminin ◽  
Rima Irwinda

Low birth weight is one of the determinants of infant mortality, morbidity, and disability, which can even have an impact on the future. Several studies have suggested that the condition of low birth weight (LBW) infants is influenced by the lack of maternal nutritional status in early pregnancy. Moreover, the prevalence of malnutrition in Indonesia is still high. Therefore, this study attempted to analyze the relationship of maternal nutritional status in early pregnancy as a predictor of LBW infants. Using a cross-sectional study design, this study involved 62 pregnant patients aged 20–35 years who had antenatal visits and a term delivery at Puskesmas Kecamatan Cakung. The measurements of body mass index (BMI) and mid-upper arm circumference (MUAC) in early pregnancy are used to determine the maternal nutritional status. Pregnant women with BMI <18.5 or MUAC <23.5 cm are considered to have less nutritional status. Meanwhile, LBW infants are defined as babies with birth weight <2500 grams. This study proves that the risk of birth of LBW infants is increased in pregnant women with BMI <18.5 (underweight) (OR 5.37) and less MUAC (OR 20.4).


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