The second report from Turkey: waist percentiles for 6–11-year-old children in Elazig Province, Eastern Anatolia

Pi̇ri̇nçci̇, Edibe; Çiçek, Betül; Açik, Yasemin; Öztürk, Ahmet; Durmuş, Birsen

doi:10.1515/jpem-2012-0142

Cited by 2 publications

(5 citation statements)

References 29 publications

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“…Of the eighty-six studies, thirty-nine (45 %) presented information about the study population (1,2,12,13,15,16,19,25,31–36,41–43,50,54,56–58,63–65,68,69,71,74,77,78,85,86,88,91–93,96,97) . The sample size of the studies ranged from 279 (71) to 232 140 participants (47) .…”

Section: Resultsmentioning

confidence: 99%

“…Thirty-two studies were carried out in Europe in the following countries: five in Germany, one in Bulgaria, one in Cyprus, one in Denmark, two in Spain, one in Great Britain, one in Greece, two in Italy, one in Norway, two in Poland, two in Portugal, one in the UK, one in Switzerland, ten in Turkey and one in Ukraine (1,12,13,15,16,25,29,34,35,43,48,51,52,54,(78)(79)(80)(81)(82)(83)(84)(85)(86)(87)(88)(89)(90)(91)(92)(93)(94) . Turkey has its territory in two continents, Asia and Europe, and for this reason it was included in the accounting of both continents.…”

Section: General Characteristics Of the Included Studiesmentioning

confidence: 99%

“…Four studies used waist-to-height ratio to elaborate reference growth curves for underweight, overweight and obesity mainly the central (16,41,50,53) . Two studies used BM for height (BM/height) to (30) Lebanon NR/ 2•547 (♂: 1•131; ♀: 1•416) 11-18 years old Cross-sectional LMS Chacar; Salameh (2011) (31) Lebanon NR/ 12•299 (♂:5•529 ; ♀: 6•770) 10-18 years old Cross-sectional LMS Chaves et al, (2015) (80) Portugal NR/ 3•094 (♂: (22) Brazil NR/ 26 (32) Saudi Arabia (33) Saudi Arabia (36) Saudi Arabia (37) Iran NR/ 2•107 (♂: (38) Iran NR/ 14 (39) Kuwait NR/ 9•593 (♂: 4•843; ♀: 4•750) 5-18 years old Cross-sectional LMS Jaworski et al, (2012) (82) Poland NR/ 17 (40) China NR/ 96•104 (♂: 48•790; ♀: 47•314) 2-18 years old Cross-sectional LMS Katzmarzyk, (2004) (70) Canada NR/ 3•064 (♂: (46) Taiwan 24•200/ 18•466 0-5 years old Longitudinal LMS Luciano et al, (1997) (83) Italy NR/ 41 (84) Great Britain NR/ 8 (77) South Africa (53) India NR/ 1•225 (♂: 684; ♀: 541) 14-18 years old Cross-sectional LMS Pirincci et al, (2012) (54) Turkey 31 (96) New Zealand (58) Saudi Arabia (60) China NR/ 14•842 (♂: 7•432; ♀: 7•370) 6-18 years old Cross-sectional LMS Virani, (2010) (61) India NR/ 7•401 (♀: (75) Venezuela NR/ 1•787 (♀: 884; ♀: 903) 2-18 years old Cross-sectional LMS ♂, male; ♀, female; NR, not reported.…”

Section: Characteristics Of Studies In Relation To Anthropometric Ind...mentioning

confidence: 99%

“…Regarding body perimeters, thirty-three studies used waist circumference to elaborate reference growth curves for underweight, overweight and obesity mainly abdominal, in children and adolescents (2,16,19,26,34,35,39,41,45,49,50,(53)(54)(55)60,61,63,65,67,70,73,75,77,78,80,81,84,87,(90)(91)(92)(93)95) . Three studies used head perimeter (16,41,77) and two studies used arm perimeter (17,28) .…”

Section: Characteristics Of Studies In Relation To Anthropometric Ind...mentioning

confidence: 99%

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Reference growth curves to identify weight status (underweight, overweight or obesity) in children and adolescents: systematic review

et al. 2023

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The identification of somatic growth, through reference curves, can be used to create strategies and public policies to reduce public health problems such as malnutrition and obesity and to identify underweight, overweight and obesity, taking into account the variability of physical and of human development characterized by intra and interpopulation heterogeneity. The purpose of this systematic review was to identify studies providing reference growth curves for weight status (underweight, overweight or obesity) in children and adolescents. A systematic search was conducted in CINAHL; LILACS; PubMed ScienceDirect; Scopus; SPORTDiscus; SciELO; Web of Science. Manual searches were also carried out in gray literature (Google scholar) in order to find possible studies that were not retrieved by the search strategy. Data were extracted by two independent reviewers, and consensus was verified between them. To assess the risk of bias/methodological quality of studies, the National Institutes of Health (NIH) Quality Assessment Tool for Observational Cohort and Cross-sectional Studies (NHLBI) was used. Overall, 86 studies that met the inclusion criteria were included (cross-sectional and longitudinal). Through the values of reference growth curves for the identification of underweight, overweight and obesity, it was possible to verify that there is great variability among percentiles for the identification of underweight, overweight and obesity. The most prevalent percentiles for underweight were P3 and P5; for overweight, the most prevalent was P85 and the most prevalent percentiles for obesity were P95 and P97. The most prevalent anthropometric indicators were Body Mass Index (BMI), Waist Circumference (WC), Body Mass (BM) for age and height for age. Conclusion: The optimal growth must be reached, through the standard growth curves, but that the reference curves demonstrate a cut of the population growth, raising possible variables that can influence the optimal growth, such as an increase in the practice of physical activities and an awareness of proper nutrition.

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Section: Resultsmentioning

confidence: 99%

Section: General Characteristics Of the Included Studiesmentioning

confidence: 99%

Section: Characteristics Of Studies In Relation To Anthropometric Ind...mentioning

confidence: 99%

Section: Characteristics Of Studies In Relation To Anthropometric Ind...mentioning

confidence: 99%

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Reference growth curves to identify weight status (underweight, overweight or obesity) in children and adolescents: systematic review

et al. 2023

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“…WC percentile references have been developed for children and adolescents living in different parts of world, such as Canada [25], the USA [26], Australia [27], the Netherlands [28], the United Kingdom [29], Germany [30], Turkey [31], Greece [32], Iran [33], Singapore [34], Brazil [4], and China [35]. Growth percentile charts of abdominal circumference and hip circumference have already been constructed in the Czech Republic.…”

Section: Discussionmentioning

confidence: 99%

Reference Curves of Selected Circumferential Parameters for Czech Children Aged 6 to 11 Years

2021

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(1) Background/objective: the globally discussed current issue is the increasing body weight of the population. This trend is observed in all age categories. Pediatricians and anthropologists use BMI percentile curves to determine the optimal body weight of children, based on which the child is categorized in the category of underweight, normal weight, overweight, or obese. Medical or anthropological examinations also use some methods to determine the amount of body fat. In addition to evaluating amounts of body fat, it is important to assess its distribution. The distribution of fat in the body, especially in terms of disproportionate distribution, is a risk factor for health complications, especially in terms of metabolic and health risk. Part of monitoring children’s growth is also measuring and evaluating circumferential parameters, such as abdominal circumference, gluteal circumference, and waist circumference. This study aimed to define age- and gender-specific reference curves for waist circumference (WC), abdominal circumference (AbC), and gluteal circumference (GC) in Czech children. (2) Methods: data on children’s circumferential parameters were collected via anthropometric measurements. The research sample consisted of 2093 children aged 6–11 years (boys, n = 1008; girls, n = 1085). Only children with parental informed consent were included. The statistical analysis was performed separately by age and gender using SPSS v. 22. Anthropometric data were summarized by mean and standard deviation. The percentile curves of WC, AbC, and GC were calculated (P3, P10, P25, P50, P75, P90, P97) in R 3.4.2 software (R Foundation for Statistical Computing, Vienna, Austria) using the gamlss package. (3) Results and conclusions: the study developed age- and gender-specific percentile curves of WC, AbC, and GC for Czech children aged 6–11 years. All parameters increased with age in both boys and girls. Generally, the boys had higher WC and AbC than did girls, but girls had higher GC than did boys. Female and male median WC percentiles (M) increased from the age of 6. Both girls’ and boys’ median percentiles showed a continuous increase. We found similar trends in the median GC and AbC percentile curves. All percentile curves showed similar trends in both sexes, but the 90th and 97th WC percentiles in boys were exceptions: from the age of 10, they exceeded the values of girls, reaching their peak at the age of 11 followed by a decrease in the case of the 97th percentile and a plateau in the case of the 90th percentile. This study serves as a reference to enrich the methods of evaluation of somatic and medical status in Czech children. Up–to–date percentile curves would be a practical addition to the BMI percentiles for the screening and evaluation of overweight and obese conditions and the related risks of abdominal obesity in the pediatric population.

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The second report from Turkey: waist percentiles for 6–11-year-old children in Elazig Province, Eastern Anatolia

Abstract: The large differences in the values obtained worldwide emphasize the necessity of providing population-specific WC reference curves from different populations, which in turn may result in an international reference standard similar to that provided for body mass index.

Cited by 2 publications

References 29 publications

Reference growth curves to identify weight status (underweight, overweight or obesity) in children and adolescents: systematic review

Reference growth curves to identify weight status (underweight, overweight or obesity) in children and adolescents: systematic review

Reference Curves of Selected Circumferential Parameters for Czech Children Aged 6 to 11 Years

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