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      Malnutrition Has No Effect on the Timing of Human Tooth Formation

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      1 , 2 , 3 , * , 1
      PLoS ONE
      Public Library of Science

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          Abstract

          The effect of nutrition on the timing of human tooth formation is poorly understood. Delays and advancements in dental maturation have all been reported as well as no effect. We investigated the effect of severe malnutrition on the timing of human tooth formation in a large representative sample of North Sudanese children. The sample (1102 males, 1013 females) consisted of stratified randomly selected healthy individuals in Khartoum, Sudan, aged 2-22 years using a cross-sectional design following the STROBE statement. Nutritional status was defined using WHO criteria of height and weight. Body mass index Z-scores and height for age Z-scores of ≤−2 (cut-off) were used to identify the malnourished group (N = 474) while the normal was defined by Z-scores of ≥0 (N = 799). Clinical and radiographic examination of individuals, with known ages of birth was performed including height and weight measurements. Mandibular left permanent teeth were assessed using eight crown and seven root established tooth formation stages. Mean age at entry and mean age within tooth stages were calculated for each available tooth stage in each group and compared using a t-test. Results show the mean age at entry and mean age within tooth stages were not significantly different between groups affected by severe malnutrition and normal children (p>0.05). This remarkable finding was evident across the span of dental development. We demonstrate that there is little measurable effect of sustained malnutrition on the average timing of tooth formation. This noteworthy finding supports the notion that teeth have substantial biological stability and are insulated from extreme nutritional conditions compared to other maturing body systems.

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          The genetic structure and history of Africans and African Americans.

          Africa is the source of all modern humans, but characterization of genetic variation and of relationships among populations across the continent has been enigmatic. We studied 121 African populations, four African American populations, and 60 non-African populations for patterns of variation at 1327 nuclear microsatellite and insertion/deletion markers. We identified 14 ancestral population clusters in Africa that correlate with self-described ethnicity and shared cultural and/or linguistic properties. We observed high levels of mixed ancestry in most populations, reflecting historical migration events across the continent. Our data also provide evidence for shared ancestry among geographically diverse hunter-gatherer populations (Khoesan speakers and Pygmies). The ancestry of African Americans is predominantly from Niger-Kordofanian (approximately 71%), European (approximately 13%), and other African (approximately 8%) populations, although admixture levels varied considerably among individuals. This study helps tease apart the complex evolutionary history of Africans and African Americans, aiding both anthropological and genetic epidemiologic studies.
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            A new system of dental age assessment.

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              A simplified general method for cluster-sample surveys of health in developing countries.

              General guidelines are presented for the use of cluster-sample surveys for health surveys in developing countries. The emphasis is on methods which can be used by practitioners with little statistical expertise and no background in sampling. A simple self-weighting design is used, based on that used by the World Health Organization's Expanded Programme on Immunization (EPI). Topics covered include sample design, methods of random selection of areas and households, sample-size calculation and the estimation of proportions, ratios and means with standard errors appropriate to the design. Extensions are discussed, including stratification and multiple stages of selection. Particular attention is paid to allowing for the structure of the survey in estimating sample size, using the design effect and the rate of homogeneity. Guidance is given on possible values for these parameters. A spreadsheet is included for the calculation of standard errors.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2013
                30 August 2013
                : 8
                : 8
                : e72274
                Affiliations
                [1 ]Queen Mary University of London, Institute of Dentistry, Bart’s and The London School of Medicine and Dentistry, London, United Kingdom
                [2 ]Khartoum Centre for Research and Medical Training, Qasr Street, Khartoum, Sudan
                [3 ]El Razi Dental School, Elazhari 2, Khartoum, Sudan
                Aga Khan University, Pakistan
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: FE HML. Performed the experiments: FE. Analyzed the data: FE. Contributed reagents/materials/analysis tools: FE. Wrote the paper: FE HML.

                Article
                PONE-D-13-23128
                10.1371/journal.pone.0072274
                3758289
                24023614
                2858b848-0eac-4d2f-b0ce-6514dbdca7ef
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 4 June 2013
                : 15 July 2013
                Page count
                Pages: 8
                Funding
                These authors have no support or funding to report.
                Categories
                Research Article
                Mathematics
                Statistics
                Medicine
                Clinical Research Design
                Survey Research
                Nutrition
                Malnutrition
                Oral Medicine
                Dentistry
                Pediatrics
                Child Development
                Growth Retardation
                Public Health
                Child Health

                Uncategorized
                Uncategorized

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