percentile curve

百分位曲线
  • 文章类型: Journal Article
    这项研究的首要目的是使用从5岁以下健康儿童中常规收集的数据来评估挪威的生长监测指南。我们分析了生长状态(年龄大小)和变化(百分位数交叉)的标准。
    纵向数据来自Bergen生长研究1(BGS1)中2130名儿童的健康婴儿诊所的电子健康记录(EHR)。长度测量,体重,长度的重量,将体重指数(BMI)和头围转换为z评分,并与世界卫生组织(WHO)的生长标准和国家生长参考进行比较.
    使用世界卫生组织的增长标准,在出生时的所有特征和所有年龄段的长度方面,超过2SD的儿童比例通常高于预期的2.3%。跨越百分位数通道在生命的头两年很常见,特别是长度/高度。到了五岁,37.9%的儿童被确定为关于长度/身高的随访,头围为33%,身长/BMI高的为13.6%。
    超出图表正常限制的儿童比例高于预期,并且发现了惊人的大量儿童有关头围长度或生长的规则。这表明有必要修订挪威目前的增长监测准则。
    UNASSIGNED: The overarching aim of this study was to evaluate the Norwegian guidelines for growth monitoring using routinely collected data from healthy children up to five years of age. We analysed criteria for both status (size for age) and change (centile crossing) in growth.
    UNASSIGNED: Longitudinal data were obtained from the electronic health record (EHR) at the well-baby clinic for 2130 children included in the Bergen growth study 1 (BGS1). Measurements of length, weight, weight-for-length, body mass index (BMI) and head circumference were converted to z-scores and compared with the World Health Organization (WHO) growth standards and the national growth reference.
    UNASSIGNED: Using the WHO growth standard, the proportion of children above +2SD was generally higher than the expected 2.3% for all traits at birth and for length at all ages. Crossing percentile channels was common during the first two years of life, particularly for length/height. By the age of five years, 37.9% of the children had been identified for follow-up regarding length/height, 33% for head circumference and 13.6% for high weight-for-length/BMI.
    UNASSIGNED: The proportion of children beyond the normal limits of the charts is higher than expected, and a surprisingly large number of children were identified for rules concerning length or growth in head circumference. This suggests the need for a revision of the current guidelines for growth monitoring in Norway.
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  • 文章类型: Journal Article
    我国现行的国家学龄前儿童生长发育标准是2003年制定的,存在许多不足。有必要构建更科学的百分位曲线和增长参考标准,中国儿童的发展和健康状况。
    基于2010年和2014年测量的中国31个省份的物理和健康数据,采用GAMLSS模型构建了增长参考标准和相关曲线。
    我们获得了身高年龄百分位数曲线和Z分数曲线的生长参考标准,坐姿的年龄,年龄体重,中国学龄前儿童的胸围。所有指标的C50百分位数在3.0~6.5岁之间呈明显的上升趋势。如,男孩和女孩的身高分别增加了21.1厘米和20.3厘米,男孩和女孩的坐姿分别增加了10.3厘米和10.1厘米,男孩和女孩的体重分别增加了7.1公斤和6.3公斤,男孩和女孩的胸围分别增加了6cm和5.2cm。
    本研究提供的儿童生长发育图表为学龄前儿童的生长发育评估提供了有效的监测和个性化评估工具,以及减少营养不良,预防和控制儿童肥胖。建议在某些领域使用,如儿童健康,医疗和公共卫生。
    UNASSIGNED: The current national growth and development standard of preschool children in China was formulated in 2003, which has many deficiencies. It is necessary to construct more scientific percentile curve and growth reference standards in order to evaluate more effectively the growth, development and health status of Chinese children.
    UNASSIGNED: Based on the physical and health data of 31 provinces in China measured in 2010 and 2014, the GAMLSS model was used to construct the growth reference standard and correlation curve.
    UNASSIGNED: We obtained growth reference standards for percentile curve and Z-score curve of height-for-age, sitting height-for-age, Weight-for-age, Chest circumference-for-age of Chinese preschool children. The C50 percentile of all indicators showed an obvious increasing trend with aged 3.0 to 6.5. Such as, the height of boys and girls increased by 21.1cm and 20.3cm respectively, the sitting height boys and girls increased by 10.3cm and 10.1cm respectively, the weight of boys and girls increased by 7.1 kg and 6.3 kg respectively, the Chest circumference of boys and girls increased by 6cm and 5.2 cm respectively.
    UNASSIGNED: The children\'s growth and development charts provided in this study provide effective monitoring and personalized evaluation tools for the growth and development assessment of preschool children, as well as for the reduction of malnutrition, prevention and control of childhood obesity. It is recommended to be used in some areas such as child health, medical treatment and public health.
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  • 文章类型: Journal Article
    OBJECTIVE: Coronary artery calcification (CAC) measured on cardiac computed tomography (CT) is an important risk marker for cardiovascular disease (CVD) and has been included in the prevention guidelines. The aim of this study was to describe CAC score reference values in the middle-aged and elderly population and to develop a freely available CAC calculator.
    RESULTS: All participants from two population-based cardiac CT screening cohorts (DanRisk and DANCAVAS) were included. The CAC score was measured as a part of a screening session. Positive CAC scores were log-transformed and non-parametrically regressed on age for each gender, and percentile curves were transposed according to proportions of zero CAC scores. Men had higher CAC scores than women, and the prevalence and extend of CAC increased steadily with age. An online CAC calculator was developed, http://flscripts.dk/cacscore. After entering sex, age, and CAC score, the CAC score percentile and the coronary age are depicted including a figure with the specific CAC score and 25%, 50%, 75%, and 90% percentiles. The specific CAC score can be compared to the entire background population or only those without prior CVD.
    CONCLUSIONS: This study provides modern population-based reference values of CAC scores in men and woman and a freely accessible online CAC calculator. Physicians and patients are very familiar with blood pressure and lipids, but unfamiliar with CAC scores. Using the calculator makes it easy to see if a CAC value is low, moderate, or high, when a physician in the future communicate and discusses a CAC score with a patient.
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  • 文章类型: Journal Article
    暂无摘要。
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  • 文章类型: Comparative Study
    BACKGROUND: One of the mostly used and preferred method in following the growth of children is to plot weight and height values of the children on standard percentile charts. It is essential for each country to use its own populations\' updated percentile curves. However, data on the growth of children living in different regions are also needed for comparison with the national standards.
    METHODS: This study was conducted in Kayseri with a trained team in order to obtain anthropometrical measurements in children and adolescents. Weight and height measurements from 5727 (2785 boys, 2942 girls) healthy school children (aged between 6 to 18 years) from all socioeconomic levels were randomly selected. Smoothed percentile curves were produced by LMS method.
    RESULTS: Smoothed percentile curves including the percentile values for 3rd, 5th, 10th, 25th, 50th, 75th, 85th, 90th, 95th and 97th and standard deviation scores were calculated for boys and girls. The 3rd, 50th and 97th centiles of weight and height of these children were compared with the respective values of the established national standards obtained from Istanbul children.
    CONCLUSIONS: This study presents data and smoothed percentile curves for weight and height measurement of healthy central Anatolia children aged 6 to 18 years. Nationwide studies are needed to bring out the regional differences in our country.
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