Genetic Obesity Disorders: Body Mass Index Trajectories and Age of Onset of Obesity Compared with Children with Obesity from the General Population

被引:7
|
作者
Abawi, Ozair [1 ,2 ]
Wahab, Rama J. [3 ,4 ]
Kleinendorst, Lotte [2 ,5 ]
Blankers, Lizette A. [1 ,2 ]
Brandsma, Ammelies E. [6 ]
van Rossum, Elisabeth F. C. [2 ,7 ]
van der Voorn, Bibian [1 ,2 ,7 ]
van Haelst, Mieke M. [5 ]
Gaillard, Romy [3 ,4 ]
van den Akker, Erica L. T. [1 ,2 ,8 ]
机构
[1] Erasmus MC, Dept Pediat, Div Endocrinol, Rotterdam, Netherlands
[2] Erasmus MC, Obes Ctr CGG, Rotterdam, Netherlands
[3] Erasmus MC, Generat R Study Grp, Rotterdam, Netherlands
[4] Univ Med Ctr Rotterdam, Dept Pediat, Erasmus MC Sophia, Rotterdam, Netherlands
[5] Univ Amsterdam, Amsterdam UMC locat, Dept Human Genet, Sect Clin Genet, Amsterdam, Netherlands
[6] Maasstad Ziekenhuis, Obes Ctr CGG, Rotterdam, Netherlands
[7] Univ Med Ctr Rotterdam, Erasmus MC, Dept Internal Med, Div Endocrinol, Rotterdam, Netherlands
[8] Sophia Childrens Univ Hosp, Erasmus MC, Dept Pediat, Div Endocrinol, POBox 2040, NL-3000 CA Rotterdam, Netherlands
来源
JOURNAL OF PEDIATRICS | 2023年 / 262卷
关键词
VARIANTS;
D O I
10.1016/j.jpeds.2023.113619
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
Objective We sought to assess body mass index trajectories of children with genetic obesity to identify optimal early age of onset of obesity (AoO) cut-offs for genetic screening. Study design This longitudinal, observational study included growth measurements from birth onward of children with nonsyndromic and syndromic genetic obesity and control children with obesity from a population-based cohort. Diagnostic performance of AoO was evaluated. Results We describe the body mass index trajectories of 62 children with genetic obesity (29 nonsyndromic, 33 syndromic) and 298 controls. Median AoO was 1.2 years in nonsyndromic genetic obesity (0.4 and 0.6 years in biallelic LEPR and MC4R; 1.7 in heterozygous MC4R); 2.0 years in syndromic genetic obesity (0.9, 2.3, 4.3, and 6.8 years in pseudohypoparathyroidism, Bardet-Biedl syndrome, 16p11.2del syndrome, and Temple syndrome, respectively); and 3.8 years in controls. The optimal AoO cut-off was <= 3.9 years (sensitivity, 0.83; specificity, 0.49; area under the curve, 0.79; P <.001) for nonsyndromic and <= 4.7 years (sensitivity, 0.82; specificity, 0.37; area under the curve, 0.68; P =.001) for syndromic genetic obesity. Conclusions Optimal AoO cut-off as single parameter to determine which children should undergo genetic testing was <= 3.9 years. In case of older AoO, additional features indicative of genetic obesity should be present to warrant genetic testing. Optimal cut-offs might differ across different races and ethnicities. (J Pediatr 2023;262:113619).
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Body Mass Index as a Predictor of Obesity in Elementary Age Children
    Graham, Ralph
    McMillan, Cathy
    Erdmann, Loran
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2010, 42 (05): : 552 - 552
  • [2] Body Mass Index Trajectories From Childhood to Adulthood and Age at Onset of Overweight and Obesity: The Influence of Parents' Weight Status
    Nielsen, Jannie
    Hulman, Adam
    Narayan, K. M. Venkat
    Cunningham, Solveig A.
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 2022, 191 (11) : 1877 - 1885
  • [3] Accuracy of body mass index in diagnosing obesity in the adult general population
    Romero-Corral, A.
    Somers, V. K.
    Sierra-Johnson, J.
    Thomas, R. J.
    Collazo-Clavell, M. L.
    Korinek, J.
    Allison, T. G.
    Batsis, J. A.
    Sert-Kuniyoshi, F. H.
    Lopez-Jimenez, F.
    INTERNATIONAL JOURNAL OF OBESITY, 2008, 32 (06) : 959 - 966
  • [4] Accuracy of body mass index in diagnosing obesity in the adult general population
    A Romero-Corral
    V K Somers
    J Sierra-Johnson
    R J Thomas
    M L Collazo-Clavell
    J Korinek
    T G Allison
    J A Batsis
    F H Sert-Kuniyoshi
    F Lopez-Jimenez
    International Journal of Obesity, 2008, 32 : 959 - 966
  • [5] Modelling future trajectories of obesity and body mass index in England
    Cobiac, Linda J.
    Scarborough, Peter
    PLOS ONE, 2021, 16 (06):
  • [6] Genetic propensity for obesity, socioeconomic position, and trajectories of body mass index in older adults
    Tommerup, Kristiane
    Ajnakina, Olesya
    Steptoe, Andrew
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [7] Genetic propensity for obesity, socioeconomic position, and trajectories of body mass index in older adults
    Kristiane Tommerup
    Olesya Ajnakina
    Andrew Steptoe
    Scientific Reports, 11
  • [8] Obesity and Mortality Risk: New Findings From Body Mass Index Trajectories
    Zheng, Hui
    Tumin, Dmitry
    Qian, Zhenchao
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 2013, 178 (11) : 1591 - 1599
  • [9] GENETIC DIVERSITY IN YAKUT POPULATION BY LOCI ASSOCIATED WITH BODY MASS INDEX AND OBESITY
    Popovich, A. A.
    Trifonova, E. A.
    Bocharova, A., V
    Vagaitseva, K. V.
    Maksimova, N. R.
    Stepanov, V. A.
    YAKUT MEDICAL JOURNAL, 2019, (03): : 23 - 26
  • [10] CORRELATES AND HEALTH CONSEQUENCES OF BODY MASS INDEX TRAJECTORIES IN CHILDREN AND ADOLESCENTS WITH OVERWEIGHT OR OBESITY
    St Fleur, Ruth G.
    Tanofsky-Kraff, Marian
    Yanovski, Jack A.
    Horton, Nicholas J.
    Field, Alison E.
    ANNALS OF BEHAVIORAL MEDICINE, 2023, 57 : S70 - S70