Growth pattern of schoolchildren in Sagamu, Nigeria using the CDC standards and 2007 WHO standards

Fetuga, MB; Ogunlesi, TA; Adekanmbi, AF; Alabi, Adekunle Durojaiye

doi:10.1007/s13312-011-0094-x

Cited by 27 publications

(41 citation statements)

References 7 publications

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“…The results of the present study indicated that 10% of the children are underweight in comparison to (WHO/NCHS) reference population [15], the percent of WAZ < −2SD for boys and girls less than 10 years was 11% and 5.1% respectively. Similarly, results of another study [18] reported the prevalence of underweight occurring more in boys than girls.…”

Section: Discussionmentioning

confidence: 67%

Nutritional Status and Dietary Habits of School Children in Beni-Suef Governorate, Egypt

Abdelaziz¹,

Youssef²,

Sedrak³

et al. 2015

FNS

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Objectives: Childhood malnutrition is a major concern in developing countries. Therefore, the present study aimed to determine the nutritional status and dietary habits of school children. Methods: This is a community based cross-sectional survey designed to evaluate nutritional status of students aged (5 -19 years) in Beni-Suef Governorate, Egypt, during September-December 2013. A two-stage sampling technique was done; 22 government schools were selected in the first stage. In the second stage, 1100 students were selected from the target population of the study. Weight, height, and age data were used to calculate z-scores of the three different nutritional indicators. Dietary habits were studied using a food frequency questionnaire. Results: Underweight (WAZ < −2) and stunting (HAZ < −2) occurred in 10% and 53.2%, respectively. WAZ and HAZ mean scores of the children were −0.22 (SD = 1.39) and −2.09 (SD = 2.03), respectively. The malnourished children were classified on the basis of (WHO/NCHS) reference population BMI z-scores as being: 2.8% underweight (<−2SD) and 34.4% obese (>+2SD). Boys were more underweight (3%) than girls (2.2%). Conversely, girls tend to be more stunted (65.3%) compared to boys (59.9%) in the age group 10 -14 years. Identified risk factors associated with malnutrition for those aged more than 10 years were: mother education (P-value = 0.03), father education (P-value = 0.04) and family size (P-value = 0.014). Conclusıon and Recommendatıons: Child's nutritional status is strongly associated with the literacy of both parents and family size. The prevalence of malnutrition can be reduced by implementation of school intervention programs for the socioeconomic development.

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Section: Discussionmentioning

confidence: 67%

Nutritional Status and Dietary Habits of School Children in Beni-Suef Governorate, Egypt

Abdelaziz¹,

Youssef²,

Sedrak³

et al. 2015

FNS

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“…Previous studies reported significant differences between international reference standards in various populations (Shields and Tremblay, 2010;Fetuga et al, 2011;Twells and Newhook, 2011;Mushtaq et al, 2012), and comparison of international reference standards with local reference standard also has found significant differences (Cerrillo et al, 2012).…”

Section: Discussionmentioning

confidence: 97%

Comparison of Different Internationally Accepted Reference Standards to Measure Childhood Adiposity Rates in Latvia

Kupča

Sīpols

Daugule

et al. 2014

Proceedings of the Latvian Academy of Sciences. Section B. Natural, Exact, and Applied Sciences.

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“…Most previous studies in Low and Middle Income Countries (LMIC) have used growth centiles to model growth, with an aim to monitor growth and detect timing of growth faltering due to malnutrition by comparing child growth to set growth reference charts (Fetuga et al, 2011; Johnson et al, 2012b; Maleta et al, 2003a; Mushtaq et al, 2012; Nguyen et al, 2012; Kalanda et al, 2005; Stein et al, 2010). Of the studies from LMIC that used growth models, none modelled growth beyond 2 years of age and none of them except for the study by Johnson et al (2012b) used mixed effects modelling to fit the growth models (Olusanya & Renner, 2011; Pagezy & Hauspie, 1985; Simondon et al, 1992).…”

Section: Discussionmentioning

confidence: 99%

“…There are several studies that have looked at child growth in low- and middle-income countries, but few have used longitudinal data, due to the limited number of longitudinal studies (Adair et al, 2009; Cameron et al, 1986; Fetuga et al, 2011; Guedes et al, 2010; Hauspie & Pagezy, 1989; Johnson et al, 2012b; Kalanda et al, 2005; Maleta et al, 2003b; Mushtaq et al, 2012; Olusanya & Renner, 2011; Pagezy & Hauspie, 1985; Simondon et al, 1992; Stein et al, 2010). …”

Section: Introductionmentioning

confidence: 99%

Multi-level modelling of longitudinal child growth data from the Birth-to-Twenty Cohort: a comparison of growth models

Chirwa

Griffiths

Maleta

et al. 2013

Annals of Human Biology

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BackgroundDifferent structural and non-structural models have been used to describe human growth patterns. However, few studies have compared the fitness of these models in an African transitioning population.AimTo find model(s) that best describe the growth pattern from birth to early childhood using mixed effect modelling.Subjects and methodsThe study compared the fitness of four structural (Berkey-Reed, Count, Jenss-Bayley and the adapted Jenss-Bayley) and two non-structural (2nd and 3rd order Polynomial) models. The models were fitted to physical growth data from an urban African setting from birth to 10 years using a multi-level modelling technique. The goodness-of-fit of the models was examined using median and maximum absolute residuals, Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC).ResultsThere were variations in how the different models fitted to the data at different measurement occasions. The Jenss-Bayley and the polynomial models did not fit well to growth measurements in the early years, with very high or very low percentage of positive residuals. The Berkey-Reed model fitted consistently well over the study period.ConclusionThe Berkey-Reed model, previously used and fitted well to infancy growth data, has been shown to also fit well beyond infancy into childhood.

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Growth pattern of schoolchildren in Sagamu, Nigeria using the CDC standards and 2007 WHO standards

Abstract: The WHO references would under-diagnose under-nutrition and over-diagnose overweight/obesity in the population studied.

Cited by 27 publications

References 7 publications

Nutritional Status and Dietary Habits of School Children in Beni-Suef Governorate, Egypt

Nutritional Status and Dietary Habits of School Children in Beni-Suef Governorate, Egypt

Comparison of Different Internationally Accepted Reference Standards to Measure Childhood Adiposity Rates in Latvia

Multi-level modelling of longitudinal child growth data from the Birth-to-Twenty Cohort: a comparison of growth models

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