The Associations of Breastfeeding Status at 6 Months with Anthropometry, Body Composition, and Cardiometabolic Markers at 5 Years in the Ethiopian Infant Anthropometry and Body Composition Birth Cohort

(1) Background: Breastfeeding (BF) has been shown to lower the risk of overweight and cardiometabolic disease later in life. However, evidence from low-income settings remains sparse. We examined the associations of BF status at 6 months with anthropometry, body composition (BC), and cardiometabolic markers at 5 years in Ethiopian children. (2) Methods: Mother–child pairs from the iABC birth cohort were categorised into four BF groups at 6 months: 1. “Exclusive”, 2. “Almost exclusive”, 3. “Predominantly” and 4. “Partial or none”. The associations of BF status with anthropometry, BC, and cardiometabolic markers at 5 years were examined using multiple linear regression analyses in three adjustment models. (3) Results: A total of 306 mother–child pairs were included. Compared with “Exclusive”, the nonexclusive BF practices were associated with a lower BMI, blood pressure, and HDL-cholesterol at 5 years. Compared with “Exclusive”, “Predominantly” and “Almost exclusive” had shorter stature of −1.7 cm (−3.3, −0.2) and −1.2 cm (−2.9, 0.5) and a lower fat-free mass index of −0.36 kg/m2 (−0.71, −0.005) and −0.38 kg/m2 (−0.76, 0.007), respectively, but a similar fat mass index. Compared with “Exclusive”, “Predominantly” had higher insulin of 53% (2.01, 130.49), “Almost exclusive” had lower total and LDL-cholesterol, and “Partial or none” had a lower fat mass index. (5) Conclusions: Our data suggest that children exclusively breastfed at 6 months of age are overall larger at 5 years, with greater stature, higher fat-free mass but similar fat mass, higher HDL-cholesterol and blood pressure, and lower insulin concentrations compared with predominantly breastfed children. Long-term studies of the associations between BF and metabolic health are needed to inform policies

Associations of fat mass and fat-free mass accretion in infancy with body composition and cardiometabolic risk markers at 5 years:The Ethiopian iABC birth cohort study

BackgroundAccelerated growth in early childhood is an established risk factor for later obesity and cardiometabolic disease, but the relative importance of fat mass (FM) and fat-free mass (FFM) accretion is not well understood. We aimed to study how FM and FFM at birth and their accretion during infancy were associated with body composition and cardiometabolic risk markers at 5 years.Methods and findingsHealthy children born at term were enrolled in the Infant Anthropometry and Body Composition (iABC) birth cohort between December 2008 and October 2012 at Jimma University Specialized Hospital in the city of Jimma, Ethiopia. FM and FFM were assessed using air displacement plethysmography a median of 6 times between birth and 6 months of age. In 507 children, we estimated individual FM and FFM at birth and their accretion over 0-3 and 3-6 months of age using linear-spline mixed-effects modelling. We analysed associations of FM and FFM at birth and their accretion in infancy with height, waist circumference, FM, FFM, and cardiometabolic risk markers at 5 years using multiple linear regression analysis. A total of 340 children were studied at the 5-year follow-up (mean age: 60.0 months; girls: 50.3%; mean wealth index: 45.5 out of 100; breastfeeding status at 4.5 to 6 months post-partum: 12.5% exclusive, 21.4% almost exclusive, 60.6% predominant, 5.5% partial/none). Higher FM accretion in infancy was associated with higher FM and waist circumference at 5 years. For instance, 100-g/month higher FM accretion in the periods 0-3 and 3-6 months was associated with 339 g (95% CI: 243-435 g, p ConclusionsFM accretion in early life was positively associated with markers of adiposity and lipid metabolism, but not with blood pressure and cardiometabolic markers related to glucose homeostasis. FFM accretion was primarily related to linear growth and FFM at 5 years

Higher weight and weight gain after 4 years of age rather than weight at birth are associated with adiposity, markers of glucose metabolism, and blood pressure in 5-year-old Ethiopian children

BACKGROUND: Fetal and early life growth is associated with adult risk of obesity and cardiometabolic disease. However, little is known about the relative importance of birth weight and successive periods of weight gain on markers of cardiometabolic risk in childhood in low-income populations. // OBJECTIVES: The objective was to study associations of birth weight and weight gain velocities in selected age intervals from birth to 60 mo with height, fat-free mass (FFM), and markers of adiposity and cardiometabolic risk at 60 mo. // METHODS: In a prospective cohort study of 375 Ethiopian children aged 60 mo, we estimated individual weight gain velocities in the periods between birth and 3, 6, 24, 48, and 60 mo using linear-spline mixed-effects modeling. Subsequently, we analyzed associations of birth weight, weight gain velocities, and current weight with height, FFM, and markers of adiposity and cardiometabolic risk. // RESULTS: Weight gain from 48 to 60 mo and weight at 60 mo rather than birth weight were the strongest correlates of insulin, C-peptide, HOMA-IR, blood pressure, height, FFM, waist circumference, and fat mass at 60 mo. For instance, 1 SD higher (1 SD = 50 g/mo) weight accretion from 48 to 60 mo was associated with a higher insulin of 23.3% (95% CI: 9.6%, 38.8%), C-peptide of 11.4% (2.7%, 20.8%), systolic blood pressure of 1.4 mm Hg (0.6, 2.3 mm Hg), fat mass of 0.72 kg (0.59, 0.85 kg), and FFM of 0.70 kg (0.56, 0.85 kg). Weight gain from 0 to 3 mo was positively associated with LDL cholesterol, systolic blood pressure, height, and the body composition indices, and weight gain from 24 to 48 mo was inversely associated with blood glucose. // CONCLUSIONS: In 60-mo-old Ethiopian urban children, weight gain and weight after 48 mo rather than weight at birth may represent a sensitive period for variations in markers of adiposity and glucose metabolism. The birth cohort is registered at https://www.isrctn.com/ as ISRCTN46718296

Associations of weight and body composition at birth with body composition and cardiometabolic markers in children aged 10 y: the Ethiopian infant anthropometry and body composition birth cohort study

Background: Although birth weight (BW) has been associated with later cardiovascular disease and type 2 diabetes, the role of birth fat mass (BFM) and birth fat-free mass (BFFM) on cardiometabolic health is unclear. // Objectives: To examine associations of BW, BFM, and BFFM with later anthropometry, body composition, abdominal fat, and cardiometabolic markers. // Methods: Birth cohort data on standardized exposure variables (BW, BFM, and BFFM) and follow-up information at age 10 y on anthropometry, body composition, abdominal fat, and cardiometabolic markers were included. A linear regression analysis was used to assess associations of exposures with outcome variables, adjusting for maternal and child characteristics at birth and current body size in separate models. // Results: Among 353 children, mean (SD) age was 9.8 (1.0) y, and 51.5% were boys. In the fully adjusted model, 1-SD higher BW and BFFM were associated with 0.81 cm (95% CI: 0.21, 1.41 cm) and 1.25 cm (95% CI: 0.64, 1.85 cm) greater height at 10 y, respectively. The 1-SD higher BW and BFM were associated with 0.32 kg/m2 (95% CI: 0.14, 0.51 kg/m2) and 0.42 kg/m2 (95% CI: 0.25, 0.59 kg/m2) greater fat mass index at 10 y, respectively. In addition, 1-SD higher BW and BFFM were associated with 0.22 kg/m2 (95% CI: 0.09, 0.34 kg/m2) greater FFM index, whereas a 1-SD greater BFM was associated with a 0.05 cm greater subcutaneous adipose tissue (95% CI: 0.01, 0.11 cm). Furthermore, 1-SD higher BW and BFFM were associated with 10.3% (95% CI: 1.4%, 20.0%) and 8.3% (95% CI: −0.5%, 17.9%) greater insulin, respectively. Similarly, 1-SD higher BW and BFFM were associated with 10.0% (95% CI: 0.9%, 20.0%) and 8.5% (95% CI: −0.6%, 18.5%) greater homeostasis model assessment of insulin resistance, respectively. // Conclusions: BW and BFFM rather than BFM are predictors of height and FFM index at 10 y. Children with higher BW and BFFM showed higher insulin concentrations and homeostasis model assessment of insulin resistance at 10 y of age. // This trial was registered at ISRCTN as ISRCTN46718296

Associations of weight and body composition at birth with body composition and cardiometabolic markers in children aged 10 y: the Ethiopian infant anthropometry and body composition birth cohort study.

BACKGROUND: Although birth weight (BW) has been associated with later cardiovascular disease and type 2 diabetes, the role of birth fat mass (BFM) and birth fat-free mass (BFFM) on cardiometabolic health is unclear. OBJECTIVES: To examine associations of BW, BFM, and BFFM with later anthropometry, body composition, abdominal fat, and cardiometabolic markers. METHODS: Birth cohort data on standardized exposure variables (BW, BFM, and BFFM) and follow-up information at age 10 y on anthropometry, body composition, abdominal fat, and cardiometabolic markers were included. A linear regression analysis was used to assess associations of exposures with outcome variables, adjusting for maternal and child characteristics at birth and current body size in separate models. RESULTS: Among 353 children, mean (SD) age was 9.8 (1.0) y, and 51.5% were boys. In the fully adjusted model, 1-SD higher BW and BFFM were associated with 0.81 cm (95% CI: 0.21, 1.41 cm) and 1.25 cm (95% CI: 0.64, 1.85 cm) greater height at 10 y, respectively. The 1-SD higher BW and BFM were associated with 0.32 kg/m2 (95% CI: 0.14, 0.51 kg/m2) and 0.42 kg/m2 (95% CI: 0.25, 0.59 kg/m2) greater fat mass index at 10 y, respectively. In addition, 1-SD higher BW and BFFM were associated with 0.22 kg/m2 (95% CI: 0.09, 0.34 kg/m2) greater FFM index, whereas a 1-SD greater BFM was associated with a 0.05 cm greater subcutaneous adipose tissue (95% CI: 0.01, 0.11 cm). Furthermore, 1-SD higher BW and BFFM were associated with 10.3% (95% CI: 1.4%, 20.0%) and 8.3% (95% CI: -0.5%, 17.9%) greater insulin, respectively. Similarly, 1-SD higher BW and BFFM were associated with 10.0% (95% CI: 0.9%, 20.0%) and 8.5% (95% CI: -0.6%, 18.5%) greater homeostasis model assessment of insulin resistance, respectively. CONCLUSIONS: BW and BFFM rather than BFM are predictors of height and FFM index at 10 y. Children with higher BW and BFFM showed higher insulin concentrations and homeostasis model assessment of insulin resistance at 10 y of age. This trial was registered at ISRCTN as ISRCTN46718296

Timing of First Antenatal Care Attendance and Associated Factors among Pregnant Women in Arba Minch Town and Arba Minch District, Gamo Gofa Zone, South Ethiopia

Objective. To assess the timing of first antenatal care attendance and associated factors among pregnant women in Arba Minch Town and Arba Minch District, south Ethiopia. Method. Facility based cross-sectional study employing both quantitative and qualitative methods was conducted from February to March, 2014, in Arba Minch Town and Arba Minch District. Data were collected from 409 pregnant women attending antenatal care clinics in nine public health facilities using systematic random sampling. Analysis was done using SPSS version 20. Descriptive statistics and binary and multiple logistic regression analysis were done. Results. The mean (SD±) age of the respondents was 26 ± 5.5 years. The mean gestational age at first antenatal care attendance was 5 ± 1.5 months. This study indicated that pregnant women with low monthly income (AOR = 4.9, CI: 1.71, 14.08), women who did not receive advise on when to start ANC (AOR = 3, CI: 1.48, 6.24), women with household food insecurity (AOR = 4.66, CI: 1.007, 21.59) and women with unplanned pregnancy (AOR = 4.49, CI: 2.16, 9.35) had higher odds of late antenatal care attendance compared with their counterparts. Conclusions. The study showed that majority of the pregnant women attended late for first antenatal care. Hence, providing health education on the timing of antenatal care is important

Predictors of Preterm Birth among Mothers Who Gave Birth in Silte Zone Public Hospitals, Southern Ethiopia

Background. A preterm birth is the leading cause of death in both neonatal and children under five years of age every year throughout the world, particularly in Sub-Saharan Africa. The causes of a preterm birth are complex and multifactorial; many risk factors that contribute it are not fully understood. The aim of this study was to identify predictors of a preterm birth among mothers who gave birth in Silte Zone Public Hospitals, Southern Ethiopia (2019/20). Methods and Materials. A hospital-based unmatched case-control study design was carried out from July 15th to October 30th, 2019, by assigning mothers who gave preterm births as cases and those with term births as controls. A total of 365 respondents (91 cases and 274 controls) were selected by a consecutive simple random sampling until the required sample size was achieved. For each case, three consecutive controls were included. Data were collected using a structured interview questionnaire complement with record reviewing. The data were entered into Epi Info 7 and exported into SPSS 25 for analysis. Descriptive analysis was computed to obtain summary values for cases and controls separately. All candidate variables in bivariate analysis were entered into the multivariable logistic regression model by using the backward likelihood ratio selection methods. Finally, variables with p value ≤ 0.05 were considered as potential determinants of a preterm birth and reported in the form of adjusted odds ratio with 95% confidence interval. Results. Among a total of 365 mothers who gave live birth, 91 (24.9%) were cases compared to 274 (75.1%) which were controls. The final multivariable logistic regression analysis results showed that having history of a previous preterm birth (AOR=3.51; 95%CI=1.40−8.81), having shorter interpregnancy interval (AOR=4.46; 95%CI=1.95−10.21), experiencing obstetric complication (AOR=3.82; 95%CI=1.62−9.00), and having infant born with low birth weight (AOR=5.58; 95%CI=2.39−13.03) were found to be independent predictors of a preterm birth. Conclusions. According to this finding, mothers having previous history of a preterm birth, experiencing obstetric complication, having shorter interpregnancy interval, and having infant born with low birth weight were reported as the independent predictors of a preterm birth. Improving the quality of antepartum and intrapartum, counseling on birth space, creating awareness on family planning, and early screening of preterm determinants are mandatory

Body Composition during Early Infancy and Mental Health Outcomes at 5 Years of Age:A Prospective Cohort Study of Ethiopian Children

OBJECTIVE: To examine the relationship between body composition—specifically fat mass (FM) and fat-free mass (FFM)—in early infancy, and mental health outcomes in early childhood. STUDY DESIGN: In the Infant Anthropometry and Body Composition birth cohort study from Ethiopia, body composition was measured at birth and 1.5, 2.5, 3.5, 4.5, and 6 months of age. Mental health was assessed at 5 years of age using the approved Amharic version of the Strengths and Difficulties Questionnaire (SDQ), a parent report scale covering 4 different domains providing a total difficulties score. The associations of FM or FFM at birth as well as during early infancy, with SDQ score at 5 years of age were examined using multiple linear regression analyses. RESULTS: At 5 years of age, the mean ± SD for SDQ score was 10.4 ± 5.8. FM at birth was positively and FFM negatively associated with SDQ score. For each kg increase in FM at birth, the SDQ score at 5 years was 5.7 points higher (β = 5.7; 95% CI, 1.4-10.0). In contrast, for each kilogram increase in FFM at birth, the SDQ score was 3.9 points lower (β = -3.9; 95% CI, -7.0 to -0.8). Neither FM nor FFM accretion rate during early infancy were associated with SDQ score at 5 years of age. CONCLUSIONS: Fetal rather than infant body composition was associated with SDQ score at 5 years of age. Greater FFM accretion during fetal life may have contributed to more optimal neurobehavioral development during early life. However, the potential mechanisms underlying the observed associations need further investigation