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. 2025 Aug;9(8):530-543.
doi: 10.1016/S2352-4642(25)00140-3. Epub 2025 Jun 19.

Trends and predictions to 2030 in demographic structures and metabolic health for children and adolescents in China: analysis of national school health surveys from 2000 to 2019

Affiliations

Trends and predictions to 2030 in demographic structures and metabolic health for children and adolescents in China: analysis of national school health surveys from 2000 to 2019

Xinli Song et al. Lancet Child Adolesc Health. 2025 Aug.

Abstract

Background: Understanding the changing metabolic health burden among children and adolescents is crucial for current and future public health resource allocation in China, particularly given rapid population ageing. We aimed to estimate trends in the metabolic burden in children and adolescents aged 7-18 years from 2000 to 2030, using overweight, obesity, and hypertension as proxy indicators.

Methods: We extracted age, sex, height, weight, and blood pressure data for Han children and adolescents aged 7-18 years, as recorded in five cycles of the Chinese National Surveys on Students Constitution and Health in the years 2000, 2005, 2010, 2014, and 2019. We used demographic indicators reported by the Seventh National Population Census in 2020 to represent the demographic situation in 2019 and UN population estimates and projections for China to derive the national age structure from 2000 to 2030. We calculated the 2019 age-standardised prevalence rates of overweight and obesity, hypertension, comorbid overweight and obesity with hypertension, severe obesity, and severe hypertension. Direct standardisation was applied to adjust for the effect of changes in population structures and derive age-specific prevalence estimates from 2000 to 2030. A population development index that captures demographic trends while accounting for the influence of age structure was calculated from birth rate, death rate, and proportions of the population aged 0-14 years and older than 65 years. Correlation coefficients (r) and corresponding p values for the association between the population development index and metabolic burden were calculated with general linear regression models. Multinomial regressions were applied to model age-specific and sex-specific prevalence rates as a function of time. We used decomposition analysis to evaluate the individual contributions of age-specific prevalence, age distribution, and population growth to the net change in case numbers.

Findings: The final analysis of national survey data included 1 106 416 observations. In 2019, the age-standardised prevalence rates were 21·5% (95% CI 21·3-21·7) for overweight and obesity, 16·6% (16·4-16·8) for hypertension, 5·5% (5·4-5·6) for overweight and obesity with hypertension, 1·6% (1·5-1·6) for severe obesity, and 2·1% (2·0-2·2) for severe hypertension. China's population of children and adolescents aged 7-18 years is predicted to decrease from 276 million in 2000 to 181 million in 2030 (-34·4%). Between 2000 and 2030, we estimate increases of 39·0 million (180·6%) cases of overweight and obesity, 7·1 million (131·5%) cases of overweight and obesity with hypertension, 4·3 million (430·0%) cases of severe obesity, and 1·2 million (34·3%) cases of severe hypertension. Between 2000 and 2030, we estimate a slight decrease of 0·3 million (-0·8%) cases of hypertension. A significant negative association between population development index and metabolic burden was observed for 2019 (r=-0·485, p=0·0062) and projected for 2030 (r=-0·417, p=0·020). Decomposition analysis indicated that rising age-specific prevalence is the primary driver of increasing numbers of metabolic cases, partially offset by population decline.

Interpretation: In the context of China's declining youth populations, increases in the prevalence, clinical severity, and absolute case numbers of overweight and obesity with hypertension signal a worsening metabolic health burden. Beyond public health policies to shape healthier lifestyle patterns, enhanced efforts are needed to prepare China's primary health-care system and optimise the allocation of paediatric health-care resources.

Funding: National Key R&D Program of China, National Natural Science Foundation of China, Beijing Natural Science Foundation, Peking University Talent Introduction Program Project, Clinical Medicine Plus X-Young Scholars Project of Peking University, UK Medical Research Council, and the Abdul Latif Jameel Institute for Disease and Emergency Analytics at Imperial College London, funded by a donation from Community Jameel.

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Conflict of interest statement

Declaration of interests We declare no competing interests.

Figures

Figure 1
Figure 1. The number and age-standardized prevalence of OWOB, HTN, OWOB coexisting with HTN, severe OB, and severe HTN among Chinese children and adolescents aged 7-18 years, 2000-2030.
(a) Population numbers (millions) of children and adolescents aged 7-18 years old, stratified by sex, in 2000, 2019, and 2030. The number of cases (millions) of (b) OWOB, and severe OB, (c) HTN, and stage 2 HTN, and (d) OWOB coexisting with HTN among Chinese children and adolescents, stratified by sex, in 2000, 2019, and 2030. (e) Age-standardized prevalence rates of OWOB, HTN, OWOB coexisting with HTN, severe OB, and stage 2 HTN. Note: OWOB = overweight and obesity; HTN = hypertension; OB = obesity. The age- and sex-specific standardized coefficients were based on the CNSSCH data in 2019. Source data are provided in the Supplementary files.
Figure 2
Figure 2. Province-specific numbers of cases of children aged 7-18 years old with OWOB, HTN and OWOB coexisting with HTN in 2000, 2019 and 2030.
In Figure 2 (a), green, purple, light orange, and gray bars represent isolated HTN, isolated OWOB, OWOB coexisting with HTN, and populations without OWOB or HTN, respectively. Note: OWOB = overweight and obesity; HTN = hypertension. Source data are provided in the Supplementary files.
Figure 3
Figure 3. Provincial age-standardized rates (%) of OWOB, HTN, and OWOB with HTN among Chinese children and adolescents aged 7-18 in 2000, 2019, and 2030, categorized by PDI
Note: The high, middle, and low PDI group are categorized based on the tertiles. OWOB = overweight and obesity; HTN = hypertension; PDI = population development index. Source data are provided in the Supplementary files
Figure 4
Figure 4. Associations of pediatric metabolic risk with population development index in China, in 2000. 2019, and 2030.
Note: Pediatric metabolic risk was calculated by the sum of provincial age-standardized rates (%) of OWOB and HTN. OWOB = overweight and obesity; HTN = hypertension.
Figure 5
Figure 5. Decomposition of changes in (a) OWOB, (b) HBP and (c) OWOB with HTN cases attributable to population growth, age structure, and age-specific prevalence rates among Chinese children and adolescents aged 7 to 18, between 2000-2019 and 2000-2030
Note: OWOB = overweight and obesity; HTN = hypertension.

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