Aims: This study compares the WHO (2007) and the National Health Examination Survey (NHANES III) reference intervals and investigates the differences when applied on a Canadian cohort of older children and adolescents...Aims: This study compares the WHO (2007) and the National Health Examination Survey (NHANES III) reference intervals and investigates the differences when applied on a Canadian cohort of older children and adolescents. Methods: We calculated height, weight and BMI z-scores of 4375 consecutive patients (1993 female, 45.6%) aged 5 - 20 years attending outpatient clinics at a single tertiary care centre using reference data of the latest NHANES (III) survey and the WHO (2007) growth charts. To address age dependency, data was stratified into age groups. Results: Using the NHANES III reference intervals, medians of weight (+0.46), height (+0.29) and BMI z-scores (+0.46) were significantly non-zero. The WHO (2007) growth charts yielded medians of +2.05, +0.32, +0.53 for weight, height and BMI z-scores respectively, all significantly non-zero. When comparing both growth charts, Canadian children had significantly different weight and BMI z-scores (p 95th percentile) doubled from 8.6% to 16.0%. A significant age dependency was observed with higher WHO (2007) weight z-scores (>7 years) and higher BMI z-scores (7 to 13 years) and no significant difference was observed for height z-scores across all age groups. Gender differences were observed for weight z-scores (>9 years) and BMI (males: 9 - 11 years, p = 0.0118;11 - 13 years, p = 0.0069) whereas no significant difference was found in height z-scores across all age groups. Conclusion: Our results reveal substantial differences between both reference populations and thus interpretation needs be done with caution, especially when labelling results as abnormal.展开更多
目的:探究基于Kano模型下的护理干预对特发性矮小症(idiopathic short stature,ISS)患儿生长发育、骨代谢水平的影响。方法:选取于2022年1—7月九江市妇幼保健院收治的90例ISS患儿作为研究对象,并根据随机数字表法将其分为对照组与干预...目的:探究基于Kano模型下的护理干预对特发性矮小症(idiopathic short stature,ISS)患儿生长发育、骨代谢水平的影响。方法:选取于2022年1—7月九江市妇幼保健院收治的90例ISS患儿作为研究对象,并根据随机数字表法将其分为对照组与干预组,各45例。给予对照组患儿常规干预,给予干预组患儿常规干预+基于Kano模型下的护理干预。分别于干预前、干预6个月后,对比两组血清生长因子、骨代谢水平及体格发育情况。结果:干预后,两组胰岛素样生长因子结合蛋白-3(insulin-like growth factor binding protein-3,IGFBP-3)、胰岛素样生长因子Ⅰ(insulin-like growth factor-Ⅰ,IGF-Ⅰ)、25-羟维生素D_(3)水平均升高,且干预组上述指标水平均显著高于对照组(P<0.05)。干预后,两组身高、体重、骨龄(bone age,BA)及身高标准差积分(height standard deviation score,HtSDS)均升高,其中干预组身高、HtSDS均显著高于对照组(P<0.05),但两组体重、BA对比,差异均无统计学意义(P>0.05)。结论:基于Kano模型下的护理干预应用于ISS,有助于提高患儿IGFBP-3、IGF-Ⅰ及骨代谢水平,改善患儿生长发育相关指标。展开更多
文摘Aims: This study compares the WHO (2007) and the National Health Examination Survey (NHANES III) reference intervals and investigates the differences when applied on a Canadian cohort of older children and adolescents. Methods: We calculated height, weight and BMI z-scores of 4375 consecutive patients (1993 female, 45.6%) aged 5 - 20 years attending outpatient clinics at a single tertiary care centre using reference data of the latest NHANES (III) survey and the WHO (2007) growth charts. To address age dependency, data was stratified into age groups. Results: Using the NHANES III reference intervals, medians of weight (+0.46), height (+0.29) and BMI z-scores (+0.46) were significantly non-zero. The WHO (2007) growth charts yielded medians of +2.05, +0.32, +0.53 for weight, height and BMI z-scores respectively, all significantly non-zero. When comparing both growth charts, Canadian children had significantly different weight and BMI z-scores (p 95th percentile) doubled from 8.6% to 16.0%. A significant age dependency was observed with higher WHO (2007) weight z-scores (>7 years) and higher BMI z-scores (7 to 13 years) and no significant difference was observed for height z-scores across all age groups. Gender differences were observed for weight z-scores (>9 years) and BMI (males: 9 - 11 years, p = 0.0118;11 - 13 years, p = 0.0069) whereas no significant difference was found in height z-scores across all age groups. Conclusion: Our results reveal substantial differences between both reference populations and thus interpretation needs be done with caution, especially when labelling results as abnormal.
