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1.
S. Afr. j. child health (Online) ; 13(1): 27-35, 2019. ilus
Article in English | AIM (Africa) | ID: biblio-1270354

ABSTRACT

Background. Waist circumference (WC) is a useful predictor of cardiometabolic risk in children. Published data on WC percentiles of children from African countries are limited.Objectives. To describe age- and sex-specific Wpercentiles in black South African (SA) children from different study sites, and compare these percentiles with median WCpercentiles of African-American (AA) children.Methods. Secondary data on WC for 10 - 14-year-old black SA children (N=4 954; 2 406 boys and 2 548 girls) were extracted from the data sets of six studies. Smoothed WC percentile curves for boys and girls were constructed using the LMS method. The 50th percentile for age- and sex-specific WC measurements was compared across study sites and with AA counterparts.Results. Girls had higher WC values than boys from the 50th to 95th percentiles at all ages. The 50th WC percentiles of all groups of SA children combined were lower than those of AA children. When SA groups were considered separately, Western Cape children had median WC values similar to AA children, while rural Limpopo children had the lowest WC values. The 95th percentiles for Western Cape girls exceeded the adult cutoff point for metabolic syndrome (WC ≥80 cm) from age 11years.Conclusions. The differences in WC values for 10 - 14-year-old children across the six study sites highlight the need for nationally representative data to develop age-, sex- and ethnic-specific WC percentiles for black SA children. The results raise concerns about high WC among Western Cape girls


Subject(s)
Child , Genetic Heterogeneity , South Africa , Waist Circumference/physiology
2.
East Afr J Public Health ; 8(3): 226-31, 2011 Sep.
Article in English | MEDLINE | ID: mdl-23120962

ABSTRACT

OBJECTIVES: The practice of optimal breastfeeding including exclusive breastfeeding for the first six months of life is still rare among nursing mothers despite numerous benefits of breastfeeding. This study was aimed at identifying the factors influencing breastfeeding pattern among nursing mothers in Anambra State, Nigeria. METHODS: A cross sectional study was carried out in three comprehensive health centres of Nnamdi Azikiwe University Teaching Hospital (NAUTH) located at Neni, Ukpo and Nnewi communities of Anambra State. A semi structured questionnaire was interviewer administered on 228 nursing mothers consecutively selected by a systematic random sampling method as they visited the maternal and child welfare clinics. In addition, four sessions of focus group discussions (one in each centre) involving 8-10 nursing mothers were held. RESULTS: Most mothers 190 (83.3%) were aged between 20 and 34 years. About 152 (66.6%) had attended or completed secondary education and were mainly traders 86 (37.7%) and full time house wives 66 (29.0%). Majority 208 (91.2%) had at least good knowledge of breastfeeding. Their main source of breastfeeding education was government health facilities (80.85%). Only 85 (37.3%) breastfed exclusively. Exclusively breastfeeding was significantly associated with maternal older age, parity, delivery at government facility, positive family attitude towards exclusive breastfeeding and breastfeeding education from government health facility (p < 0.05). Focus group discussion showed that mothers believed that adequate nutrition, physical, financial and emotional support to them would increase exclusive breastfeeding practice. CONCLUSION: Exclusive breastfeeding rate was low among the mothers and the factors identified to influence its practice have important implications to breastfeeding intervention programmes. Activities to promote exclusive breastfeeding should be focused on the group of women and location in which it was poorly practiced. In addition, support to the mothers would be necessary.


Subject(s)
Breast Feeding , Health Knowledge, Attitudes, Practice , Mothers , Adolescent , Adult , Age Distribution , Breast Feeding/psychology , Breast Feeding/statistics & numerical data , Cross-Sectional Studies , Female , Focus Groups , Health Surveys , Hospitals, Teaching , Humans , Interviews as Topic , Mothers/education , Mothers/psychology , Nigeria , Parity , Pregnancy , Social Support , Socioeconomic Factors , Surveys and Questionnaires , Young Adult
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