Song Xinli, Zhou Bin, Baird Sarah, Lu Chunling, Ezzati Majid, Chen Li, Liu Jieyu, Zhang Yi, Wang Ruolin, Ma Qi, Jiang Jianuo, Qin Yang, Dong Ziqi, Yuan Wen, Guo Tongjun, Song Zhiying, Liu Yunfei, Dang Jiajia, Hu Peijin, Dong Yanhui, Song Yi, Ma Jun, Sawyer Susan M
Institute of Child and Adolescent Health & School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China.
School of Public Health, Imperial College London, London, UK.
Lancet Public Health. 2024 Dec;9(12):e1025-e1036. doi: 10.1016/S2468-2667(24)00211-1. Epub 2024 Oct 29.
There are little recent data in China regarding contemporary nutritional inequities among children and adolescents, particularly in relation to urban-rural residence and regional socioeconomic status (SES). We aim to assess inequalities in thinness and obesity in Chinese children and adolescents.
Weight and height measurements for 1 677 261 children and adolescents aged 7-18 years were obtained from seven cycles of the Chinese National Surveys on Students Constitution and Health (1985, 1995, 2000, 2005, 2010, 2014, and 2019). Sex-specific BMI-for-age Z scores were applied to define thinness (Z scores <-2SD) and obesity (Z scores >+2SD). Urban-rural classification came from the Statistical Urban and Rural Division Code, and gross domestic product (GDP) per capita in the province in which the school was situated was used as a proxy for SES. T1 represented the provinces with the most disadvantaged SES and T3 represented the provinces with the most advantaged SES. General linear regression models assessed correlations between prevalence and GDP per capita, with projections to 2030 derived from best-fitting models.
The mean prevalence of obesity rose from 0·10% (95% CI 0·09 to 0·11) in 1985 to 8·25% (8·13 to 8·37) in 2019, whereas thinness prevalence decreased from 8·49% (8·41 to 8·58) to 3·37% (3·29 to 3·45). High SES provinces exhibited a significant drop in obesity prevalence from 2014 (8·42% [8·19 to 8·65]) to 2019 (7·73% [7·52 to 7·95]). Nationally, the prevalence of obesity was consistently higher in urban areas than in rural areas for both sexes from 1985 to 2019; however, a greater prevalence of obesity was observed in rural than urban girls residing in T3 regions in 2019 (urban-rural gap: -0·37% [-0·07 to -0·80]). Rural boys had a higher prevalence of thinness than their urban counterparts across all survey waves, with the exceptions of 1985 and 1995. For girls, no significant urban-rural gap in thinness was observed in the most recent survey in 2019 (-0·10% [-0·24 to 0·04]). From 1985 to 2014, boys and girls from high SES regions had a higher risk of obesity and a lower risk of thinness than those from low SES regions. However, in 2019, a nationwide shift occurred, and the T3-T1 difference in obesity approached or went below zero for boys (-0·49% [-1·02 to 0·04]) and girls (-0·68% [-1·00 to -0·35]). T3-T1 differences in thinness also approached zero for boys (-0·46% [-0·77 to -0·14]) and girls (-0·14% [-0·43 to 0·15]). The projected estimates to 2030 for urban-rural obesity gaps (boys: -1·00% [-2·65 to 0·65]; girls: -2·88% [-6·91 to 1·15]) and T3-T1 obesity differences (boys: -8·88% [-13·76 to -4·01]; girls: -8·82% [-12·78 to -4·85]) were both negative, with forecasted estimates for urban-rural gaps and T3-T1 differences in thinness prevalence in 2030 close to zero for both boys and girls.
China's socioeconomic development continues to influence within-country inequities regarding the regional distribution of child and adolescent weight according to urban-rural location and regional SES. Contemporary Chinese children and adolescents in socioeconomically disadvantaged regions and rural areas constitute a vulnerable population facing nutritional risk, but from obesity rather than thinness. Disrupting projected inequities in obesity will require extensive preventive investments.
National Natural Science Foundation of China, Beijing Natural Science Foundation, Peking University Talent Introduction Program Project, and Clinical Medicine Plus X-Young Scholars Project of Peking University.
For the Chinese translation of the abstract see Supplementary Materials section.
中国近期关于儿童和青少年当代营养不平等的数据较少,尤其是与城乡居住情况和地区社会经济地位(SES)相关的数据。我们旨在评估中国儿童和青少年消瘦与肥胖方面的不平等情况。
从中国七轮全国学生体质与健康调研(1985年、1995年、2000年、2005年、2010年、2014年和2019年)中获取了1677261名7至18岁儿童和青少年的体重和身高测量数据。采用按年龄和性别的BMI-Z评分来定义消瘦(Z评分<-2SD)和肥胖(Z评分>+2SD)。城乡分类来自城乡划分统计代码,学校所在省份的人均国内生产总值(GDP)被用作社会经济地位的代理指标。T1代表社会经济地位最不利的省份,T3代表社会经济地位最有利的省份。通用线性回归模型评估患病率与人均GDP之间的相关性,并根据最佳拟合模型预测到2030年的情况。
肥胖的平均患病率从1985年的0.10%(95%CI 0.09至0.11)上升至2019年的8.25%(8.13至8.37),而消瘦患病率则从8.49%(8.41至8.58)降至3.37%(3.29至3.45)。社会经济地位高的省份肥胖患病率从2014年的8.42%(8.19至8.65)显著降至2019年的7.73%(7.52至7.95)。在全国范围内,1985年至2019年期间,无论男女,城市地区的肥胖患病率始终高于农村地区;然而,2019年居住在T3地区的农村女孩肥胖患病率高于城市女孩(城乡差距:-0.37%[-0.07至-0.80])。在所有调查年份中,除1985年和1995年外,农村男孩的消瘦患病率高于城市男孩。对于女孩,在2019年的最新调查中未观察到消瘦方面显著的城乡差距(-0.10%[-0.24至0.04])。从1985年到2014年,社会经济地位高的地区的男孩和女孩比社会经济地位低的地区的男孩和女孩肥胖风险更高,消瘦风险更低。然而,在2019年,全国范围内出现了转变,T3与T1地区男孩的肥胖差异接近或降至零(-0.49%[-1.02至0.04]),女孩的肥胖差异为-0.68%[-1.00至-0.35]。T3与T1地区男孩的消瘦差异也接近零(-0.46%[-0.77至-0.14]),女孩的消瘦差异为-0.14%[-0.43至0.15]。预计到2030年城乡肥胖差距(男孩:-1.00%[-2.65至0.65];女孩:-2.88%[-6.91至1.15])以及T3与T1地区肥胖差异(男孩:-8.88%[-13.76至-4.01];女孩:-8.82%[-12.78至-4.85])均为负值,预计到2030年男孩和女孩的消瘦患病率的城乡差距以及T3与T1地区差异均接近零。
中国的社会经济发展继续影响着国内儿童和青少年体重区域分布方面根据城乡位置和地区社会经济地位的不平等情况。社会经济地位不利地区和农村地区的当代中国儿童和青少年构成了面临营养风险的脆弱人群,但面临的是肥胖风险而非消瘦风险。消除预计的肥胖不平等现象需要大量的预防性投资。
中国国家自然科学基金、北京市自然科学基金、北京大学人才引进计划项目以及北京大学临床医学+X-青年学者项目。
摘要的中文翻译见补充材料部分。