Huiqi Pan
UCL Institute of Child Health
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Huiqi Pan.
Archives of Disease in Childhood | 2014
T. J. Cole; Yevgeniy Statnikov; Shalini Santhakumaran; Huiqi Pan; Neena Modi
Objective To describe birth weight and postnatal weight gain in a contemporaneous population of babies born <32 weeks’ gestation, using routinely captured electronic clinical data. Design Anonymised longitudinal weight data from 2006 to 2011. Setting National Health Service neonatal units in England. Methods Birth weight centiles were constructed using the LMS method, and longitudinal weight gain was summarised as mean growth curves for each week of gestation until discharge, using SITAR (Superimposition by Translation and Rotation) growth curve analysis. Results Data on 103 194 weights of 5009 babies born from 22–31 weeks’ gestation were received from 40 neonatal units. At birth, girls weighed 6.6% (SE 0.4%) less than boys (p<0.0001). For babies born at 31 weeks’ gestation, weight fell after birth by an average of 258 g, with the nadir on the 8th postnatal day. The rate of weight gain then increased to a maximum of 28.4 g/d or 16.0 g/kg/d after 3 weeks. Conversely for babies of 22 to 28 weeks’ gestation, there was on average no weight loss after birth. At all gestations, babies tended to cross weight centiles downwards for at least 2 weeks. Conclusions In very preterm infants, mean weight crosses centiles downwards by at least two centile channel widths. Postnatal weight loss is generally absent in those born before 29 weeks, but marked in those born later. Assigning an infants target centile at birth is potentially harmful as it requires rapid weight gain and should only be done once weight gain has stabilised. The use of electronic data reflects contemporary medical management.
Annals of Human Biology | 2009
Huiqi Pan; Yifang Jiang; Xinming Jing; Sulin Fu; Yan Jiang; Zhongfang Lin; Zhihua Sheng; T. J. Cole
Background: The rising trends in child obesity worldwide are poorly documented in China. Aim: The present study compared the distribution of body mass index (BMI) by age in children from four cities in East China with Western references. Subjects and methods: 94 370 boys and 90 048 girls aged 0–19 years from Shanghai, Jinan, Xuzhou and Hefei were measured in 1999–2004 for length/height and weight. The LMS method was used to construct BMI centiles for each city. Shanghai children aged 0–6 years in 1986 and US and UK BMI references were used for comparison. Results: The median BMI curves for the four cities differed in shape from those for the USA and UK. Chinese boys were fatter than US boys in early to mid-childhood but less so in adolescence, and US boys were fatter at age 18. Within China the adiposity rebound was earlier in boys than girls. Shanghai children were appreciably fatter in 2000 than in 1986, and boys more so than girls. Conclusions: The roots of child obesity lie in early life, particularly in boys, and are linked to economic development, which has important implications for both the aetiology of child obesity and the health of current and future Chinese children.
Annals of Human Biology | 2012
Simonete Silva; José Maia; Albrecth L. Claessens; Gaston Beunen; Huiqi Pan
Aim: To construct reference values for height, body mass and BMI of children and adolescents from the Cariri region, Brazil; to compare the growth of Cariri children with those from CDC (Centers for Disease Control and Prevention) and with references from other Brazilian regions; to verify the associations between socioeconomic status and height, body mass and BMI in children and youth from both sexes. Subjects and methods: The sample comprised 3311 girls and 3280 boys aged 7–17 years, participating in the study ‘Healthy Growth in Cariri’. Socioeconomic status was defined according to school attendance: private and public. Centile curves for height, body mass and BMI were constructed using the LMS method. Results: Significant differences between children and adolescents from Cariri and those from other Brazilian regions and the CDC references were found for height and body mass. In girls from private schools, average differences in height compared to the CDC references ranged from 0.79–5.9 cm and in boys from 2.9–8.6 cm. Conclusion: Children from Cariri show a growth pattern in height, body mass and BMI that closely resembles the patterns observed in developed countries, but the absolute values in height and body mass are markedly lower than CDC references and growth references for other regions in Brazil.
Annals of Human Biology | 2014
T. J. Cole; Huiqi Pan; G. E. Butler
Abstract Aim: To estimate and compare pubertal growth timing and intensity in height, Tanner stage markers and testis volume. Subjects and methods: Data on height, genital stage, breast stage and pubic hair stage, testis volume and menarche in 103 boys and 74 girls from the Edinburgh Longitudinal Growth Study were analysed. The SITAR model for height and a novel mixed effects logistic model for Tanner stage and testis volume provided estimates of peak velocity (PV, intensity) and age at peak velocity (APV, timing), both overall (from fixed effects) and for individuals (random effects). Results: Based on the six markers, mean APV was 13.0–14.0 years in boys and 12.0–13.1 years in girls, with between-subject standard deviations of ∼1 year. PV for height was 8–9 cm/year by sex and for testis volume 6 ml/year, while Tanner stage increased by 1.2–1.8 stages per year at its peak. The correlations across markers for APV were 0.6–0.8 for boys and 0.8–0.92 for girls, very significantly higher for girls (p = 0.005). Correlations for PV were lower, −0.2–0.6. Conclusions: The mixed effects models perform well in estimating timing and intensity in individuals across several puberty markers. Age at peak velocity correlates highly across markers, but peak velocity less so.
Archives of Disease in Childhood | 2011
T. J. Cole; Yevgeniy Statnikov; Shalini Santhakumaran; Huiqi Pan; Neena Modi
Introduction Growth monitoring is a cardinal precept of paediatric practice. The UK 1990 reference curves for preterm infants, based on cross sectional birth data from live and stillborn infants at different gestational ages, have been incorporated into the UK-WHO growth charts. These and related charts cannot be considered a standard as the optimum pattern of growth after preterm birth is unknown. Aims We aimed to construct birthweight centiles and illustrate the range of contemporaneous preterm postnatal growth to provide a population-based benchmark and a baseline for future examination of temporal trends. Methods With National Research Ethics Service approval, we constructed descriptive growth curves for babies born <32 weeks gestation using electronic data on longitudinal weight measurements entered from 40 neonatal units in England. After extensive cleaning, data were analysed for each week of gestation separately, using the SITAR method. This provides a summary cubic spline growth curve per gestation group, and a set of three random effect parameters per infant to transform the summary curve to match their own data. The birth data were also analysed to construct birthweight centiles using the LMS method. Results The birthweight centiles, based on 3172 infants, were similar to but slightly lower than UK-WHO. The gestation-specific growth curves were based on 57 746 weights from 2577 infants, with 96–514 infants and 2446–8107 weights per week of gestation (with 22/23 weeks combined). The figure 1 shows the fitted gestation-specific growth curves plotted against postmenstrual age. Weight consistently fell after birth with a greater fall for later gestations. Weight velocity stabilised after 3 weeks. Growth curves then tracked parallel to and between the second and ninth UK-WHO birthweight centiles, at a higher level in more mature infants. Abstract P7 Figure 1 Pattern of postnatal weight gain by week of gestation. Conclusion The pattern of postnatal growth in very preterm infants is complex, dependent on gestation, and quite different from that represented by the birthweight chart. Longitudinal monitoring based on birthweight charts is likely to lead to inappropriate treatment decisions. A new form of chart is urgently needed to provide a basis for longitudinal monitoring of preterm growth.
International Journal of Environmental Research and Public Health | 2015
Alcibíades Bustamante; Duarte L. Freitas; Huiqi Pan; Peter T. Katzmarzyk; José Maia
This study aimed to provide height, body mass, BMI and waist circumference (WC) growth centile charts for school-children, aged 4–17 years, from central Peru, and to compare Peruvian data with North-American and Argentinean references. The sample consisted of 8753 children and adolescents (4130 boys and 4623 girls) aged 4 to 17 years, from four Peruvian cities: Barranco, La Merced, San Ramón and Junín. Height, body mass and WC were measured according to standardized techniques. Centile curves for height, body mass, BMI and WC were obtained separately for boys and girls using the LMS method. Student t-tests were used to compare mean values. Overall boys have higher median heights than girls, and the 50th percentile for body mass increases curvilinearly from 4 years of age onwards. In boys, the BMI and WC 50th percentiles increase linearly and in girls, the increase presents a curvilinear pattern. Peruvian children are shorter, lighter and have higher BMI than their counterparts in the U.S. and Argentina; in contrast, age and sex-specific WC values are lower. Height, body mass and WC of Peruvian children increased with age and variability was higher at older ages. The growth patterns for height, body mass, BMI and WC among Peruvian children were similar to those observed in North-American and Argentinean peers.
American Journal of Respiratory and Critical Care Medicine | 2008
Sanja Stanojevic; Angie Wade; Janet Stocks; John L. Hankinson; Allan L. Coates; Huiqi Pan; Mark Rosenthal; Mary Corey; Patrick Lebecque; T. J. Cole
Statistics in Medicine | 2006
Elaine Borghi; M. de Onis; C. Garza; J. Van den Broeck; Edward A. Frongillo; Laurence M. Grummer-Strawn; S. van Buuren; Huiqi Pan; L. Molinari; Reynaldo Martorell; Adelheid W. Onyango; Jose Martines
Statistics in Medicine | 2004
Huiqi Pan; T. J. Cole
Stata Journal | 2013
Suzanna Vidmar; T. J. Cole; Huiqi Pan