Reference growth curves for Greek infants and preschool children, aged 0–6.7 years

Smpokos, Emmanouil; Linardakis, Manolis; Taliouri, Eirini; Kafatos, Anthony

doi:10.1007/s10389-018-0934-4

Cited by 3 publications

(11 citation statements)

References 31 publications

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“…Of the eighty-six studies included, seventy-five had cross-sectional design (1,2,11–17,19,22,24–28,30–44,44,45,47,48,50–57,57–60,63–70,72–76,78–87,89–93,95,97) . Only eight studies had longitudinal design (29,46,49,61,71,77,88,96) and three had mixed longitudinal design (20,62,94) (Table 1).…”

Section: Resultsmentioning

confidence: 99%

“…Twenty-nine studies took into account BM for age to elaborate reference growth curves for underweight, overweight and obesity in children and adolescents (1,2,11,20,25,30–33,38,42,46,51,58,63,64,68,69,71,72,77,77,79,80,85,86,88,88,91,94,96) . Twenty-five studies took into account height for age to elaborate reference growth curves for underweight, overweight and obesity in children and adolescents (1,2,2,11,20,20,30–33,38,42,51,63,64,68,69,72,77,79,80,85,86,88,91,94,96) .…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

“…Three studies used HP (16,58,75) and two studies used arm perimeter (17,31) . Three studies used head perimeter (42,92,94) , and two studies used neck perimeter (61,67) (Supplementary File 1). The percentiles identified in studies on reference growth curves for underweight, overweight and obesity varied, and percentiles are presented in Supplementary File 2.…”

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

confidence: 99%

“…Although optimal growth should be strongly encouraged, not all countries have ideal living conditions for the population to provide optimal growth (6,9) . Reference growth curves developed from anthropometric measurements have been used in several countries to assess the weight status and problems associated with physical https://doi.org/10.1017/S0007114522003786 Published online by Cambridge University Press Accepted manuscript 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 United Kingdom, one in Switzerland, ten in Turkey and one in Ukraine (1,12,13,15,16,26,28,32,34,38,45,49,50,55,61,65,67,68,70,71,73,74,77,78,80,84,(88)(89)(90)(91)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: Introductionmentioning

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: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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

confidence: 99%

Section: Introductionmentioning

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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Smoking, high body weight and physical inactivity assessment in samples of Cretan (Greek) adults over a period of 30 years: 1985-2015

Smpokos,

Linardakis,

Chronakis

et al. 2024

J Public Health (Berl.)

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Multiple Behavioral Risk Factors As Assets for Chronic Disease Prevention: Observations From Urban Primary Care Settings in Crete, Greece

Symvoulakis,

Stachteas,

Smyrnakis

et al. 2024

Cureus

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Aim: This study aimed to assess the health profile of patient-attendees visiting primary healthcare (PHC) practice settings in the midst of the COVID-19 pandemic and to explore the relationships between multiple behavioral risk factors (MBRFs) and consultation-driven health information. Multiple behavioral risk factors involve a variety of unhealthy behaviors that are associated with an increased prevalence of non-communicable diseases (NCDs). Subjects and methods: The study design was based on a dataset analysis, afterward exploring the feasibility and diagnostic capacity of respiratory morbidity aspects from a study previously conducted. The study dataset contained information regarding socio-demographic characteristics, health habits, clinical information, and reported comorbidities from 183 primary care patient-attendees. A categorical regression analysis was performed, using as a numeric variable the multiple MBRFs (clustering of 0 to four factors) in order to examine relationships with the basic and clinical characteristics of the patient-attendees. Results: Based on this secondary analysis, it was found that the prevalence of MBRFs is quite common among patient-attendees visiting urban PHC facilities. The prevalence of current smoking, sleep deprivation, increased body weight, and medium/high perceived stress levels were 33.9%, 52.5%, 83.1%, and 35.0%, respectively. An increased occurrence of MBRFs might be significantly predicted by the lower age of patient-attendees (b = -0.221, p = 0.05), by the absence of gray hair at an early age (b = -0.144, p = 0.042), by the physical discomfort during activities (b = 0.191, p = 0.017), or by the lower oxygen saturation (b = -0.184, p = 0.004). Diabetes mellitus (25.1%) was the most prevalent condition, followed by bronchial asthma (18.6%) and depression (15.8%). Conclusions: Lower age, absence of premature hair whitening, physical discomfort during activities, and lower oxygen saturation are linked with an increased occurrence of MBRFs, leading to a neglected way of living. Those factors could be used to alert researchers, policymakers, and PHC professionals to act accordingly in order to prevent or early diagnose NCDs.

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Reference growth curves for Greek infants and preschool children, aged 0–6.7 years

Cited by 3 publications

References 31 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

Smoking, high body weight and physical inactivity assessment in samples of Cretan (Greek) adults over a period of 30 years: 1985-2015

Multiple Behavioral Risk Factors As Assets for Chronic Disease Prevention: Observations From Urban Primary Care Settings in Crete, Greece

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