成果, 陶芳标. 青春期发育研究需建立全过程多指标评估和预测体系[J]. 中国学校卫生, 2022, 43(7): 961-964. doi: 10.16835/j.cnki.1000-9817.2022.07.001 引用本文: 成果, 陶芳标. 青春期发育研究需建立全过程多指标评估和预测体系[J]. 中国学校卫生, 2022, 43(7): 961-964. doi: 10.16835/j.cnki.1000-9817.2022.07.001 CHENG Guo, TAO Fangbiao. Research on the puberty needs to establish a multi-index evaluation and prediction system[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2022, 43(7): 961-964. doi: 10.16835/j.cnki.1000-9817.2022.07.001 Citation: CHENG Guo, TAO Fangbiao. Research on the puberty needs to establish a multi-index evaluation and prediction system[J]. CHINESE JOURNAL OF SCHOOL HEALTH , 2022, 43(7): 961-964. doi: 10.16835/j.cnki.1000-9817.2022.07.001 成果, 陶芳标. 青春期发育研究需建立全过程多指标评估和预测体系[J]. 中国学校卫生, 2022, 43(7): 961-964. doi: 10.16835/j.cnki.1000-9817.2022.07.001 引用本文: 成果, 陶芳标. 青春期发育研究需建立全过程多指标评估和预测体系[J]. 中国学校卫生, 2022, 43(7): 961-964. doi: 10.16835/j.cnki.1000-9817.2022.07.001 CHENG Guo, TAO Fangbiao. Research on the puberty needs to establish a multi-index evaluation and prediction system[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2022, 43(7): 961-964. doi: 10.16835/j.cnki.1000-9817.2022.07.001 Citation: CHENG Guo, TAO Fangbiao. Research on the puberty needs to establish a multi-index evaluation and prediction system[J]. CHINESE JOURNAL OF SCHOOL HEALTH , 2022, 43(7): 961-964. doi: 10.16835/j.cnki.1000-9817.2022.07.001 青春期的启动时间、发育速度和进程受遗传与环境交互影响, 并与终身健康相互关联。搭建适合评估中国儿童青春期启动和发育全过程的指标体系和建立多维度青春期发育轨迹预测模型, 是明晰中国儿童青春期发育全程特点及探索青春期发育对生命后期健康影响的基础。研究通过从青春期发育评估方法及预测体系两个方面对当前国内外青春期发育评估进行梳理和展望, 并对中国儿童青春期发育领域的重点研究方向提出建议。 青春期发育 /  研究 /  质量指标, 卫生保健 / Abstract: The onset and progression of puberty development is affected by interaction of genes and environments, and is linked to lifelong health. A comprehensive understanding of pubertal development in Chinese children and its influence on health outcomes becomes an important public health concern. Therefore, building an evaluation index system for Chinese children to assess the puberty onset and the temporal sequences throughout the puberty stage, and establishing a multi-dimensional predictive model for puberty trajectory lay down the foundation for this issue. This article reviews the currently available evidence referring to the assessment system and the prediction model for puberty timing, and outlines directions for future research in this area. Key words: Adolescent development /  Research /  Quality indicators, health care /  Child  李丹, 史慧静, 张越, 等. 青春期性发育自评方法的有效性和适用性研究. 中华预防医学会儿少卫生分会第九届学术交流会、中国教育学会体育与卫生分会第一届学校卫生学术交流会、中国健康促进与教育协会学校分会第三届学术交流会论文集. 厦门: 中华预防医学会, 2011: 111-116.

LI D, SHI H J, ZHANG Y, et al. The validity and applicability of self-assessment methods of adolescent sexual development. The ninth Academic Exchange Conference of the Child and Adolescent Health Section of Chinese Preventive Medicine Association, The first Academic Exchange Conference of Sports and Health Section of the Chinese Society of Education and the third Academic Exchange Conference of China Association of Health Promotion and Education. Fujian: Chinese Preventive Medicine Association, 2011: 111-116. CHAVARRO J E, WATKINS D J, AFEICHE M C, et al. Validity of self-assessed sexual maturation against physician assessments and hormone levels[J]. J Pediatr, 2017, 186(3): 172-178. DURDA-MASNY M, HANC T, CZAPLA Z, et al. BMI at menarche and timing of growth spurt and puberty in Polish girls-longitudinal study[J]. Anthropol Anz, 2019, 76(1): 37-47. doi: 10.1127/anthranz/2019/0920 BANIK S D, SALEHABADI S M, DICKINSON F. Preece-baines model 1 to estimate height and knee height growth in boys and girls from Merida, Mexico[J]. Food Nutr Bull, 2017, 38(2): 182-195. doi: 10.1177/0379572117700270 DEL PINO M, FANO V, ADAMO P. Growth in achondroplasia, from birth to adulthood, analysed by the JPA-2 model[J]. J Pediatr Endocr Met, 2020, 33(12): 1589-1595. doi: 10.1515/jpem-2020-0298 ZHANG W, CHEN Z, LIU A, et al. A weighted kernel machine regression approach to environmental pollutants and infertility[J]. Stat Med, 2019, 38(5): 809-827. doi: 10.1002/sim.8003 GOLDBERG M, CIESIELSKI JONES A J, MCGRATH J A, et al. Urinary and salivary endocrine measurements to complement tanner staging in studies of pubertal development[J]. PLoS One, 2021, 16(5): e0251598. doi: 10.1371/journal.pone.0251598 黄心依. 机器学习在数据挖掘中的应用研究[J]. 信息记录材料, 2021, 22(8): 121-123.

HUANG X Y. Research on the application of machine learning in data mining [J]. Inform Rec Mater, 2021, 22(8): 121-123. JANG W Y, AHN K S, OH S, et al. Difference between bone age at the hand and elbow at the onset of puberty[J]. Medicine (Baltimore), 2022, 101(1): e28516. doi: 10.1097/MD.0000000000028516 TANNER J M, GIBBONS R D. Automatic bone age measurement using computerized image analysis[J]. J Pediatr Endocrinol, 1994, 7(2): 141-145. SPAMPINATO C, PALAZZO S, GIORDANO D, et al. Deep learning for automated skeletal bone age assessment in X-ray images[J]. Med Image Anal, 2017, 36: 41-51. doi: 10.1016/j.media.2016.10.010 HAO P Y, CHOKUWA S, XIE X H, et al. Skeletal bone age assessments for young children based on regression convolutional neural networks[J]. Math Biosci Eng, 2019, 16(6): 6454-6466. doi: 10.3934/mbe.2019323 BUI T D, LEE J J, SHIN J. Incorporated region detection and classification using deep convolutional networks for bone age assessment[J]. Artif Intell Med, 2019, 97: 1-8. doi: 10.1016/j.artmed.2019.04.005 LIU Y, ZHANG C, CHENG J, et al. A multi-scale data fusion framework for bone age assessment with convolutional neural networks[J]. Comput Biol Med, 2019, 108: 161-173. doi: 10.1016/j.compbiomed.2019.03.015 PAN L, LIU G, MAO X, et al. Development of prediction models using machine learning algorithms for girls with suspected central precocious puberty: retrospective study[J]. JMIR Med Inform, 2019, 7(1): e11728. doi: 10.2196/11728 WANG F, GU X, CHEN S, et al. Artificial intelligence system can achieve comparable results to experts for bone age assessment of Chinese children with abnormal growth and development[J]. Peer J, 2020, 8: e8854. doi: 10.7717/peerj.8854 XU Y, LIU X, PAN L, et al. Explainable dynamic multimodal variational autoencoder for the prediction of patients with suspected central precocious puberty[J]. IEEE J Biomed Health Inform, 2022, 26(3): 1362-1373. doi: 10.1109/JBHI.2021.3103271