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1.
BMC Pediatr ; 22(1): 73, 2022 02 01.
Article in English | MEDLINE | ID: mdl-35105325

ABSTRACT

BACKGROUND: Compared to their appropriate-for-gestational-age (AGA) peers, small-for-gestational-age (SGA) infants are prone to growth deficits. As the first 6 months of exclusive breastfeeding is generally recommended, it is essential to understand how this intervention might impact SGA infants' growth. This study aims to assess growth of exclusively breastfed SGA term infants in the first 6 months of life. METHODS: A prospective cohort study was conducted on term infants born in Dr. Sardjito General Hospital and two private hospitals in Yogyakarta, Indonesia. SGA was defined as birth weight less than the 10th percentile according to Fenton criteria. Weight, length, and head circumference (HC) were measured at birth and monthly until 6 months old. RESULTS: A total of 39 AGA and 17 SGA term infants who were exclusively breastfed in their first 6 months were included and followed. In SGA compared to AGA, birth weight, length, and HC (mean ± SD) were significantly lower (p < 0.001). During the first 6 months, the SGAs grew in weight and length in parallel with the AGAs. At sixth months of age, the weight and length (mean ± SD) of the SGAs were significantly lower compared to the AGAs (p < 0.001). However, HC (mean ± SD) of SGAs grew significantly faster than the AGAs (p < 0.005). At sixth months of age, there were no significant differences in HC between the two groups (p = 0.824). CONCLUSIONS: In the first 6 months, exclusively breastfed SGA term infants, in contrast to weight and length, only show catch up growth in HC, leading to HC comparable to their AGA peers at the age of 6 months.


Subject(s)
Breast Feeding , Infant, Small for Gestational Age , Birth Weight , Female , Gestational Age , Humans , Infant , Infant, Newborn , Prospective Studies
2.
J Hum Lact ; 39(4): 648-655, 2023 11.
Article in English | MEDLINE | ID: mdl-37712570

ABSTRACT

BACKGROUND: With improvement in a population's welfare, its food consumption patterns may change, including those of nursing mothers. This, in turn, could influence their human milk composition. RESEARCH AIM: To investigate the secular trend in macronutrient composition of mature human milk from mothers of healthy, full-term infants in urban populations in Indonesia from 1974 and 2019. METHOD: We compared the macronutrient composition of mature human milk of healthy full-term infants from 1974 and 2019. The data from 2019 used the Human Milk Analyzer MIRIS to quantify the milk's carbohydrate, fat, and protein content, while the historical data used methods available at that time, that is, methods described by Benedict, Gerber and Kjeldahl, respectively. RESULTS: There were no significant differences in carbohydrate, protein and fat content across categories of maternal nutritional status in the respective periods. However, the fat content of human milk from 2019 was significantly higher than that of 1974 (4.7 g/dl, SD = 1.7 g/dl vs. 3.3 g/dl, SD = 1.1 g/dl; p < 0.001), while its carbohydrate content was significantly lower (6.2 g/dl, SD = 2.1 g/dl vs. 7.1 g/dl, SD = 0.2 g/dl; p < 0.001). There was no difference in the protein content between the two periods (1.4 g/dl, SD = 0.5 g/dl vs. 1.6 g/dl, SD = 0.3 g/dl; p = 0.491). CONCLUSION: The mature human milk from 2019 has a higher fat and total energy content but lower carbohydrate content than those observed 4 decades ago. The protein content remained the same.


Subject(s)
Breast Feeding , Milk, Human , Infant , Female , Humans , Indonesia , Urban Population , Nutrients , Carbohydrates
3.
Front Pediatr ; 9: 680869, 2021.
Article in English | MEDLINE | ID: mdl-34113592

ABSTRACT

Background: Interactions between the genome and intrauterine environment can affect bone mineralization in newborns and even in adult life. Several studies show that intrauterine fetal bone mineralization or early postnatal bone condition influences the risk of osteoporosis in later life. Objectives: To determine whole body bone mineral content (WB BMC) and factors that influence neonatal WB BMC in Indonesian term newborns. Subjects/Methods: A cross-sectional study was conducted in Dr. Sardjito General Hospital, Yogyakarta, Indonesia. A total of 45 term, appropriate for gestational age (AGA) newborns were included in this study. BMC was assessed by dual-energy x-ray absorptiometry (DXA) in the first week of life. Weight (g), length (cm) and head circumference (cm) were measured at birth. Data on maternal characteristics were obtained from the maternal health records or reported by the mothers. Results: WB BMC measured in the present study (mean ± SD: 33.2 ± 9.3 g) was lower than WB BMC of similar populations in developed countries. Multiple linear regression showed that birth weight, birth length, and gestational age had a positive association with WB BMC (p = 0.048, 0.017, and <0.001, respectively), while maternal cigarette exposure had a negative association with WB BMC (p = 0.012). Male infants had significantly higher of WB BMC than female (p = 0.025). These determinants contribute to 55% variability of WB BMC. Conclusions: WB BMC in Indonesian term newborns is lower than populations in developed countries. Birth weight, length, gestational age, sex, and maternal cigarette exposure during pregnancy are significantly associated with WB BMC observed in Indonesian newborns.

4.
Int J Prev Med ; 11: 129, 2020.
Article in English | MEDLINE | ID: mdl-33088457

ABSTRACT

BACKGROUND: Body mass index (BMI) and skinfold thickness are widely used to evaluate body composition. Information on patterns of skinfold thickness may help to understand changes in body composition during growth. The objectives of this study were to observe patterns of BMI, percentage body fat (%BF), and skinfold thicknesses of Indonesian children and adolescents aged 7-18 years. METHODS: Weight, height, and four skinfold thicknesses were measured in 2104 school children (924 boys, 1,180 girls) aged 7-18 years from Yogyakarta between 2015 and 2018. BMI and ratios between central and peripheral skinfold thicknesses were determined. %BF was predicted using the equation of Slaughter et al. Data were analyzed using analysis variance (ANOVA), independent sample t-test, and partial correlation (SPSS version 20.0). RESULTS: At 7-18 years, boys and girls showed a comparable gain in BMI. The comparable gain in %BF between boys and girls only occurred till age 10 and total skinfolds till age 11 years. While, %BF and skinfold thicknesses were higher in girls at 12-17 years, central to peripheral skinfold ratio were higher in boys. Partial correlation analyses showed that all skinfold thickness parameters and %BF were significantly correlated with BMI (P < 0.001; r = 0.19-0.87). CONCLUSIONS: The gain in BMI and skinfold thickness between the ages of 7 and 18 years occurred in age- and sex-specific patterns. Instead of comparable BMI, girls showed higher means of total skinfold thickness from age 12 years, while boys had higher central to peripheral adiposity ratio.

5.
Ann Med Surg (Lond) ; 59: 176-179, 2020 Nov.
Article in English | MEDLINE | ID: mdl-33082946

ABSTRACT

BACKGROUND: The growth of children with Hirschsprung disease (HSCR) can be affected by many factors, including the environment, nutrient intake, and surgery. Our study compared the long-term (i.e., at least 3 years of follow-up) growth outcomes in HSCR children after transabdominal Soave and Duhamel and transanal endorectal pull-through (TEPT) surgeries. METHODS: A cross-sectional study was conducted in children <18 years of age diagnosed histopathologically with HSCR who underwent pull-through between January 1, 2012-December 31, 2015 in our institution. The postoperative anthropometric data were obtained prospectively through interviews during the outpatient clinic appointment or by telephone. RESULTS: We recruited 21 patients (Soave: 7 vs. Duhamel: 4 vs. TEPT: 10; p = 0.06). There were no significant differences between the three surgical methods in terms of preoperative and postoperative nutritional status categories (p = 0.52). Concerning the changes in nutritional status, after Soave surgery, it was improved, steady, and worsened in 28.6%, 57.1%, and 14.3% of the children, respectively. The nutritional status of the Duhamel group was worsened and steady in 25% and 75% of the children, respectively, while in the TEPT group, it was improved and steady in 40% and 60% of the children, respectively. However, these differences were not statistically significant (p = 0.42). CONCLUSIONS: While some HSCR children show an improvement in their nutritional status after Soave and TEPT procedures, the overall nutritional status is similar among different procedures. Further multicenter studies with a larger sample size are important to clarify our findings.

6.
Asia Pac J Clin Nutr ; 27(3): 592-598, 2018.
Article in English | MEDLINE | ID: mdl-29737806

ABSTRACT

BACKGROUND AND OBJECTIVES: Anthropometric equations are widely used to estimate body composition however, are only appropriate for use in populations in which they have been developed and validated. The present study developed anthropometric prediction equations for Indonesian adults and cross-validated them with selected equations used in this population. METHODS AND STUDY DESIGN: Six hundred Indonesian adults aged between 18- 65 years (292 males and 308 females) were divided equally into development and validation groups. Stature, body weight, skinfold thickness at eight sites, girth at five sites, and bone breadth at four sites were measured. Stepwise multiple regression analysis was used to propose percentage body fat (%BF) prediction equations using measured variables and %BF from the deuterium oxide dilution technique as the reference. The proposed prediction equations were then cross-validated using the validation group and %BF estimated from several existing equations. RESULTS: Proposed prediction equations showed r ranged from 0.82 to 0.86 and Standard Error of the Estimate (SEE) from 4.7 to 5.4%. Cross-validation analysis showed bias with the reference %BF between 0.2 and 3.3% and Pure Error (PE) between 2.8 and 4.0%. Among the existing equations, the Durnin and Womersley equation was applicable in females whilst the equation by Davidson et al. underestimated %BF by 6.3-6.6% and the equation by Gurrici et al overestimated by 2.0-3.4% in both genders (p<0.01). CONCLUSION: The proposed prediction equations provide better options for accurate prediction of %BF in Indonesian adults.


Subject(s)
Adiposity/physiology , Anthropometry/methods , Adolescent , Adult , Body Mass Index , Female , Humans , Indonesia , Male , Middle Aged , Skinfold Thickness , Young Adult
7.
Asia Pac J Clin Nutr ; 26(4): 650-656, 2017.
Article in English | MEDLINE | ID: mdl-28582815

ABSTRACT

BACKGROUND AND OBJECTIVES: Body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-stature ratio (WSR) have increasingly been used as screening tools for obesity. However, optimal cut-off values may be different between populations. The current study determined the optimum cut-off values for BMI, WC, WHR, and WSR for obesity screening in Indonesian adults using receiver-operating characteristic (ROC) analysis. METHODS AND STUDY DESIGN: Stature, body weight, waist and hip circumferences were measured on 600 Indonesians aged 18-65 years (males, n=292; females, n=308) and BMI, WHR, and WSR calculated. Percentage of body fat (%BF) was determined using the deuterium isotope (D2O) dilution technique. Some existing cut-off points for obesity determination were evaluated for sensitivity and specificity. RESULTS: The existing cutoff values showed low sensitivity in our sample (between 18.4 and 71.1%) and new proposed cut-offs increased the sensitivity to reach 66.7 to 88.5%. The new cut-offs for BMI, WC, WHR, and WSR for determination of obesity were 21.9 (kg/m2), 76.8 (cm), 0.86, and 0.48, respectively, for males and 23.6 (kg/m2), 71.7 (cm), 0.77, and 0.47, respectively, for females. CONCLUSIONS: WC and WSR are the most predictive both for males and females, and therefore are considered as better screening tools for obesity in this population.


Subject(s)
Obesity/diagnosis , Obesity/epidemiology , Adolescent , Adult , Aged , Animals , Area Under Curve , Humans , Indonesia/epidemiology , Middle Aged , Young Adult
8.
Asia Pac J Clin Nutr ; 22(4): 522-9, 2013.
Article in English | MEDLINE | ID: mdl-24231011

ABSTRACT

Body composition of 292 males aged between 18 and 65 years was measured using the deuterium oxide dilution technique. Participants were divided into development (n=146) and cross-validation (n=146) groups. Stature, body weight, skinfold thickness at eight sites, girth at five sites, and bone breadth at four sites were measured and body mass index (BMI), waist-to-hip ratio (WHR), and waist-to-stature ratio (WSR) calculated. Equations were developed using multiple regression analyses with skinfolds, breadth and girth measures, BMI, and other indices as independent variables and percentage body fat (%BF) determined from deuterium dilution technique as the reference. All equations were then tested in the cross-validation group. Results from the reference method were also compared with existing prediction equations by Durnin and Womersley (1974), Davidson et al (2011), and Gurrici et al (1998). The proposed prediction equations were valid in our cross-validation samples with r=0.77- 0.86, bias 0.2-0.5%, and pure error 2.8-3.6%. The strongest was generated from skinfolds with r=0.83, SEE 3.7%, and AIC 377.2. The Durnin and Womersley (1974) and Davidson et al (2011) equations significantly (p<0.001) underestimated %BF by 1.0 and 6.9% respectively, whereas the Gurrici et al (1998) equation significantly (p<0.001) overestimated %BF by 3.3% in our cross-validation samples compared to the reference. Results suggest that the proposed prediction equations are useful in the estimation of %BF in Indonesian men.


Subject(s)
Anthropometry/methods , Body Composition , Adipose Tissue , Adolescent , Adult , Aged , Body Height , Body Mass Index , Body Weight , Deuterium Oxide , Humans , Indicator Dilution Techniques , Indonesia , Male , Middle Aged , Skinfold Thickness , Waist Circumference , Waist-Hip Ratio
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