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Economic growth has brought improvements in many areas of child health, but its effects on anaemia among school‐aged children remain unknown. However, this is important because iron deficiency anaemia is common and is the main cause of disability‐adjusted life years for school‐aged children. In this study, we included 429,222 Chinese children aged 7–17 years from five consecutive national cross‐sectional surveys during 1995–2014. Using altitude‐adjusted haemoglobin concentration measured from capillary blood samples, we defined anaemia status according to World Health Organization's recommendation. We used logistic regressions weighted by provincial population to examine the association between provincial gross domestic product (GDP) per capita and anaemia, adjusting for sex, age, urban–rural location, regional socio‐economic status (SES), fixed effect of province, and clustering of schools. We used generalised additive mixed models to evaluate a potentially non‐linear relationship. For each 100% growth in GDP per capita, there was a 40% (odds ratio [OR] = 0.60; 95% confidence interval [CI; 0.56, 0.65]) reduction in anaemia. However, the association was weaker for girls and in cities with a lower SES. The association was weaker across 2005–2014 (OR = 0.75, 95% CI [0.62, 0.90]) compared with 1995–2005 (OR = 0.52; 95% CI [0.44, 0.61]), reflecting a weaker association when GDP per capita reaches around $2,000. The results were similar for moderate‐to‐severe anaemia. We concluded that economic growth has been associated with reductions in anaemia among school‐aged children in China but with fewer benefits for girls and those in poorer settings. Further economic development in China is unlikely to bring similar reductions in anaemia, suggesting that additional population level and targeted interventions will be needed. [ABSTRACT FROM AUTHOR]

The article offers the authors' insight on the article by Shaza Fadel and colleagues on mid-childhood mortality in middle-income countries including India, China, and Brazil. They say that the study reveal that main causes of deaths include communicable or nutritional disease, road traffic injuries and drowning, and non-communicable diseases. They also discuss limitations of the study, the need of multisectoral actions to reduce death rates, and collection of more accurate data on death causes.

Background: Brazil, Russia, India, China, and South Africa (BRICS) are emerging economies making up almost half the global population. We analyzed trends in cardiovascular disease (CVD) mortality across the BRICS and associations with age, period, and birth cohort.Methods: Mortality estimates were derived from the Global Burden of Disease Study 2017. We used age-period-cohort modeling to estimate cohort and period effects in CVD between 1992 and 2016. Period was defined as survey year, and period effects reflect population-wide exposure at a circumscribed point in time. Cohort effects are defined as differences in risks across birth cohort. Net drift (overall annual percentage change), local drift (annual percentage change in each age group), longitudinal age curves (expected longitudinal age-specific rate), and period (cohort) relative risks were calculated.Results: In 2016, there were 8.4 million CVD deaths across the BRICS. Between 1992 and 2016, the reduction in CVD age-standardized mortality rate in BRICS (-17%) was less than in North America (-39%). Eighty-eight percent of the increased number of all-cause deaths resulted from the increase in CVD deaths. The age-standardized mortality rate from stroke and hypertensive heart disease declined by approximately one-third across the BRICS, whereas ischemic heart disease increased slightly (2%). Brazil had the largest age-standardized mortality rate reductions across all CVD categories, with improvement both over time and in recent birth cohorts. South Africa was the only country where the CVD age-standardized mortality rate increased. Different age-related CVD mortality was seen in those ≥50 years of age in China, ≤40 years of age in Russia, 35 to 60 years of age in India, and ≥55 years of age in South Africa. Improving period and cohort risks for CVD mortality were generally found across countries, except for worsening period effects in India and greater risks for ischemic heart disease in Chinese cohorts born in the 1950s and 1960s.Conclusions: Except for Brazil, reductions of CVD mortality across the BRICS have been less than that in North America, such that China, India, and South Africa contribute an increasing proportion of global CVD deaths. Brazil's example suggests that prevention policies can both reduce the risks for younger birth cohorts and shift the risks for all age groups over time. [ABSTRACT FROM AUTHOR]

Background: China's rapid economic growth has brought opportunities for improved health and growth of children and adolescents. We sought to explore the long-term trends and urban-rural inequalities in physical growth (specifically height and BMI) among school-aged children and adolescents in China to identify policy priorities for a healthier generation., Methods: We used the 1985, 1995, 2005, 2014, and 2019 cycles of the Chinese National Survey on Students' Constitution and Health from primary and secondary schools in 30 mainland provinces, autonomous regions, and municipalities. We analysed height and BMI data for 7, 12, and 18 year old children and adolescents of Han ethnicity. Children and adolescents who had complete data on age, sex, location, weight, and height were included. All surveys used a multi-stage stratified random cluster sampling method and were nationally representative. A univariate kernel density estimation was used to plot the distribution of height and BMI. Quantile regression was used to examine associations between urban and rural locations and the primary outcomes of height and BMI at specific quantiles of distribution (5th, 25th, 50th, 75th, and 95th)., Findings: Across the five surveys (in 1985, 1995, 2005, 2014, and 2019), 313 973 children and adolescents were included. From 1985 to 2019, the height and BMI distribution curves shifted to the right for each age group and sex, with the BMI curve becoming more dispersed. Median height in adolescents aged 18 years increased by 3·8 cm (95% CI 3·4-4·1) in boys in urban areas and 5·7 cm (5·3-6·1) in boys in rural areas, and 2·7 cm (2·4-3·0) in girls in urban areas and 3·7 cm (3·4-4·0) in girls in rural areas. Children in urban areas were taller than those in rural areas at every quantile, but the magnitude of this disparity narrowed by 2019. In 2019, the median height of boys in urban areas were 1·4 cm (1·0-1·8) greater in those aged 7 years, 2·5 cm (1·9-3·1) greater in those aged 12 years, and 1·1 cm (0·6-1·5) greater in those aged 18 years than their rural counterparts, whereas the median height of girls in urban areas were 1·1 cm (0·7-1·4) greater in those aged 7 years, 1·6 cm (1·1-2·1) greater in those aged 12 years, and 1·1 cm (0·7-1·5) greater in those aged 18 years than rural girls. Over this period, urban-rural differences in BMI disappeared at the lowest quantile, but persisted at higher quantiles. In 2019, the urban-rural differences in BMI for boys aged 12 years were 0·6 kg/m 2 (95% CI 0·3-0·8) at the median, 1·0 kg/m 2 (0·6-1·4) at the 75th quantile, and 0·7 kg/m 2 (0·1-1·3) at the 95th quantile; for girls aged 12 years, 0·3 kg/m 2 (0·1-0·5) at the median, 0·5 kg/m 2 (0·2-0·8) at the 75th quantile, and 0·9 kg/m 2 (0·3-1·5) at the 95th quantile; for boys aged 18 years, 0·6 kg/m 2 (0·4-0·8) at the median, 0·8 kg/m 2 (0·5-1·2) at the 75th quantile, and 0.7 kg/m 2 (0·0-1·5) at the 95th quantile; and for girls aged 18 years, 0·2 kg/m 2 (0·1-0·4) at the median, 0·5 kg/m 2 (0·3-0·8) at the 75th quantile, and 1·0 kg/m 2 (0·5-1·5) at the 95th quantile., Interpretation: Across three decades, school-aged children and adolescents in China have increased in height and BMI, with less disparity between urban and rural locations. Investments are needed to improve the affordability of healthy foods to help children and adolescents in rural areas reach their potential maximum height. Meanwhile, these changes in BMI necessitate tailored strategies according to urban-rural settings to contain the increase in overweight and obesity and promote optimal growth for children and adolescents., Funding: Capital's Funds for Health Improvement and Research, and National Natural Science Foundation of China., Competing Interests: Declaration of interests GCP received a grant from Foundation Botnar to support the translational work of a Lancet series on Adolescent Nutrition, outside of the current study. All other authors declare no competing interests., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Purpose: To estimate the effects of school closures and associated lifestyle changes on myopia in Chinese children and adolescents during the coronavirus disease 2019 (COVID-19) pandemic., Methods: Two cross-sectional surveys recruited 14,296 Chinese students aged 7 to 18 years in November 2019 and June 2020 from which an open cohort study (nested queue design) was derived and used to assess myopia prevalence, incidence, and progression rates (defined as students with progression in myopia severity at the second survey wave among those with myopia at baseline). The severity of myopia was determined by measurements of visual acuity (<5.0) and noncycloplegic refraction (spherical equivalent <-0.50 diopters). Twenty-three myopia-influencing factors were divided into three categories: eye-use habits, lifestyle, and family and subjective factors. Responses to each of these 23 factors were labeled as either positive or negative options and then combined to generate a comprehensive score., Results: Boys and girls were equally represented (50%) and had the same average age (11.5 years) at each wave. The myopia prevalence increased from 48.2% to 60.0%, with 27.1% myopia incidence and 13.2% myopia progression rates for Chinese children and adolescents. Each of the 23 factors was associated with myopia prevalence but had no significant effect on myopia incidence or progression. However, these 23 factors had a cumulative effect on myopia risks; higher scores were associated with more positive factors and lower risk ratios of myopia and vice versa. Except for the progression rate, the myopia prevalence and incidence and risk ratios decreased with higher comprehensive scores., Conclusions: School closures during the COVID-19 pandemic increased the risk of myopia in Chinese children and adolescents due to the accumulation of poor eyesight habits, unhealthy lifestyles, and excessive screen time., Translational Relevance: Rather than focusing on single risk factors for myopia, future myopia prevention strategies should focus on integrating multiple comprehensive approaches across schools, families, and communities.

Importance: A rapid nutritional transition has caused greater childhood obesity prevalence in many countries, but the repertoire of effective preventive interventions remains limited., Objective: To determine the effectiveness of a novel multifaceted intervention for obesity prevention in primary school children., Design, Setting, and Participants: A cluster randomized clinical trial was conducted during a single school year (from September 11, 2018, to June 30, 2019) across 3 socioeconomically distinct regions in China according to a prespecified trial protocol. Twenty-four schools were randomly allocated (1:1) to the intervention or the control group, with 1392 eligible children aged 8 to 10 years participating. Data from the intent-to-treat population were analyzed from October 1 to December 31, 2019., Interventions: A multifaceted intervention targeted both children (promoting healthy diet and physical activity) and their environment (engaging schools and families to support children's behavioral changes). The intervention was novel in its strengthening of family involvement with the assistance of a smartphone app. The control schools engaged in their usual practices., Main Outcomes and Measures: The primary outcome was the change in body mass index (BMI; calculated as weight in kilograms divided by height in square meters) from baseline to the end of the trial. Secondary outcomes included changes in adiposity outcomes (eg, BMI z score, prevalence of obesity), blood pressure, physical activity and dietary behaviors, obesity-related knowledge, and physical fitness. Generalized linear mixed models were used in the analyses., Results: Among the 1392 participants (mean [SD] age, 9.6 [0.4] years; 717 boys [51.5%]; mean [SD] BMI, 18.6 [3.7]), 1362 (97.8%) with follow-up data were included in the analyses. From baseline to the end of the trial, the mean BMI decreased in the intervention group, whereas it increased in the control group; the mean between-group difference in BMI change was -0.46 (95% CI, -0.67 to -0.25; P < .001), which showed no evidence of difference across different regions, sexes, maternal education levels, and primary caregivers (parents vs nonparents). The prevalence of obesity decreased by 27.0% of the baseline figure (a relative decrease) in the intervention group, compared with 5.6% in the control group. The intervention also improved other adiposity outcomes, dietary, sedentary, and physical activity behaviors, and obesity-related knowledge, but it did not change moderate- to vigorous-intensity physical activity, physical fitness, or blood pressure. No adverse events were observed during the intervention., Conclusions and Relevance: The multifaceted intervention effectively reduced the mean BMI and obesity prevalence in primary school children across socioeconomically distinct regions in China, suggesting its potential for national scaling., Trial Registration: ClinicalTrials.gov Identifier: NCT03665857.

Background: Economic development has brought rapid shifts in the food environment of Chinese children and adolescents., Objectives: To assess the changes in childhood nutritional status across ethnic groups and economic status from 2005 to 2014., Methods: 664 094 Chinese Han and 224 151 ethnic minority children and adolescents aged 7 to 18 years were assessed in three national cross-sectional surveys (2005, 2010 and 2014). Gross domestic product (GDP) per capita of each ethnic group was categorized into four strata of socioeconomic status. To assess ethnic disparities at each time point, we used logistic regression to estimate the prevalence odds ratios (OR) for thinness, overweight and obesity in the 24 ethnic minority groups vs Han Chinese., Results: Children in the two upper economic strata (over about US$4000 GDP per capita) had a high prevalence of overweight and obesity, while those in the two lower economic strata (below US$4000 GDP per capita) had a high prevalence of thinness. From 2005 to 2014, the prevalence of thinness decreased from 18.6% to 13.1% in Han children, and from 20.4% to 17.1% in ethnic minority students. At the same time, the prevalence of overweight and obesity increased from 10.4% to 17.7% in Han children, and from 4.3% to 9.2% in ethnic minority students, respectively., Conclusions: A rapid nutritional transition has occurred from 2005 to 2014 with shifts from thinness to overweight and obesity in both Han and ethnic minority children and adolescents, reflecting local GDP per capita., (© 2020 World Obesity Federation.)

Purpose: The purpose of the study was to propose a health indicator system responsive to current Chinese adolescent health needs and identify data gaps in current information systems., Methods: We identified 186 keywords for adolescent health gathered from three sources: contributors to the burden of disease captured in the Global Burden of Diseases 2015, together with independent literature and expert desk reviews; major health-related policies released by the State Council of China; and global strategies issued by UN agencies over the past five years. All keywords were synthesized into indicators and ranked with core indicators identified through panel discussions and literature review. A further systematic review was conducted to identify data sources for each indicator., Results: We identified 100 indicators which we categorized into five dimensions: health outcomes including adolescent mortality and morbidity; health knowledge, skills and risk behaviors including smoking, physical activity; demographic and socioeconomic status including education or employment; responsiveness of the health service system including the provision of health education at school; and the physical and social environments including safe drinking water, secondhand smoke exposure, injuries, and bullying. In total, 72 indicators had nationally representative data, including 22 out of 24 core indicators (91.7%), 27 out of 33 potential core indicators (81.8%), and 23 out of 43 general indicators (53.5%). A large proportion of these indicators rely solely on data from school or household surveys., Conclusions: The proposed health indicator system has the potential to rapidly identify shifting priorities for adolescent health in China but will require greater investment in primary data collection in neglected areas., (Copyright © 2020 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.)

Purpose: This article explores differences between the current health status of adolescents and the targets set in Healthy China 2030 (HC2030)., Methods: Global and domestic policies and strategies relating to adolescent health were reviewed. Data from the Global Burden of Disease Study (1990-2016) and the Chinese National Survey on Students' Constitution and Health (1985-2014) were used to analyze time trends and geographical distributions of health indicators for adolescents aged 10-19 years in China., Results: The Chinese government has released many health policies over the past 3 decades. In this context, there has been a major decline in all-cause mortality and stunting. However, gaps between the current health status of adolescents and the targets set in HC2030 were numerous. The prevalence of obesity and poor vision increased rapidly, and few adolescents meet the physical activity and fitness targets set in HC2030. Urban/rural differences were marked for some indicators such as obesity, whereas for other indicators (e.g., stunting), there remained notable differences across provinces., Conclusions: Many long-standing health problems of adolescents have improved, but new problems related to noncommunicable disease risks have emerged and should be a prominent focus for policy action under HC2030., (Copyright © 2020 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.)

Purpose: We aimed to analyze the recent trends of mortality and rankings of causes of death in Chinese children and adolescents from 1953 to 2016., Methods: Data on mortality and causes of death in Chinese children and adolescents aged 5-19 years were extracted from the China Health Statistics Yearbook and the Global Burden of Disease Study from 1953 to 2016. Mortality variations were analyzed by year, age, sex, province, and causes of death., Results: The mortality of Chinese children and adolescents aged 5-19 years declined steadily from 1953 (366.03/100,000) to 2016 (27.21), with the largest reduction in adolescents aged 15-19 years and the smallest reduction in those aged 10-14 years. Large subnational disparities for all-cause mortality existed in national 31 provinces with higher mortality in western regions compared with eastern regions, but with narrowing disparities between 1981 and 2010. Injuries dominated the causes of death compared with noncommunicable diseases and communicable, maternal and neonatal, and nutritional diseases from 1990 (58.13/100,000 vs. 32.10 and 14.31) to 2016 (22.65 vs. 13.00 and 2.93). In 2016, the leading three causes of death were road injuries (8.30/100,000), drowning (7.25), and leukemia (2.60). Drowning was the leading cause of death for 5- to 14-year-olds, but road injuries have been the leading cause for 15- to 19-year-olds of both sexes since 2010., Conclusions: Although mortality in Chinese adolescents now stands at just 7% of rates in the 1950s, there is a need to address continuing inequalities across sex, economic status, and region., (Copyright © 2020. Published by Elsevier Inc.)

Background: Early marriage and fertility are major social determinants of health and wellbeing. Rapid shifts in the past three decades, including a rise in sexual activity in unmarried adolescents, a large population of young migrant workers, and a high proportion of males relative to females, have the potential to alter patterns of reproductive health in Chinese adolescents and young women. We aimed to establish long-term trends of marriage and fertility for girls and women aged 15-24 years in China., Methods: We did a longitudinal study in which we extracted aggregated data for marriage and childbearing status for Chinese girls and women aged 15-24 years from the Chinese National Population Census (in 1990, 2000, and 2010) and the Chinese 1% National Population Sample Survey (in 1995, 2005, and 2015). The census included all individuals with Chinese nationality who resided in China when the survey was done. For the 1% sample survey, communities or villages were randomly selected and all residents with Chinese nationality in the selected communities or villages were included. In all censuses and sample surveys, forms that included information on basic demographic characteristics, education, marriage, and fertility were completed and verified by the census enumerators at the household residence, based on responses provided by the householder or another adult in the household. We calculated the ever-married rate and age-specific fertility rate (ASFR) for all included individuals. We built multivariate random-effects generalised least squares regression models on panel data to test whether marriage or fertility rate was associated with education level, sex ratio, and the proportion of the population who are an ethnic minority in a province., Findings: The ever-married rate for those aged 15-19 years decreased from 4·7% in 1990 to 1·2% (95% CI 1·2-1·3) in 2000, but rebounded to 2·4% (2·4-2·5) in 2015. The ASFR for this age group decreased from 22·0 births per 1000 individuals in 1990 to 6·0 (5·9-6·0) births per 1000 in 2000, and rebounded to 9·2 (8·9-9·4) births per 1000 in 2015. The rebound was found in most provinces. In women aged 20-24 years, the ever-married rate generally declined from 58·6% in 1990 to 25·5% (95% CI 25·4-25·6) in 2015, and the ASFR decreased from 198·8 births per 1000 in 1990 to 55·0 (54·5-55·5) births per 1000 in 2015. In 2015, the ever-married rate and ASFR for girls and women in rural areas aged 15-19 years were three-times higher than those of their urban counterparts (3·8% [95% CI 3·7-3·9] vs 1·1% [1·1-1·1] for the ever-married rate and 15·4 [14·9-15·9] vs 4·1 [3·9-4·3] births per 1000 for the ASFR). There were large disparities in ever-married rate across individuals of different education levels, with increases in the ever-married rate of 15-19-year-olds not attending senior high school between 2000 and 2010. Those aged 15-19 years were more likely to be married or give birth in the western provinces. Education held a protective association against adolescent childbearing, whereas a high ratio of males to females and a high proportion of ethnic minorities were associated with greater risk., Interpretation: Although China's total fertility rate remains far less than replacement, after a period of steady decline, there has been a rebound in adolescent marriage and childbearing in the past decade. A range of adolescent-targeted strategies will be needed across provinces, including scaling up comprehensive sex education, ensuring that girls continue in school, and providing adequate reproductive health services, which specifically meet the needs for modern contraception in sexually active unmarried girls., Funding: Humanities and Social Sciences Planning Fund Project, Sports and Health Special Project of Education and Scientific Research, and China Scholarship Council., (Copyright © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.)

Background: Physical fitness is strongly associated with health. Despite the extent of the nutritional transition from food scarcity to diets high in fats and refined carbohydrates that has occurred in China, to our knowledge, trends in physical fitness have not been described. We aimed to assess trends in physical fitness and its association with the nutritional transition among Chinese children and adolescents., Methods: In this retrospective analysis, data from Chinese school students aged 7-18 years were extracted from six successive national surveys undertaken between 1985 and 2014. Six components of physical fitness (forced vital capacity, standing long jump, sit-and-reach, body muscle strength, 50 m dash, and endurance running) were measured repeatedly in each survey and aggregated as a summary physical fitness indicator (PFI). Growth and nutritional status (stunting, thinness, normal weight, overweight, and obesity) were defined by use of WHO definitions, and we combined stunting and thinness as undernutrition and overweight and obesity as overnutrition. Urbanisation levels were obtained from the statistical yearbook of the National and Provincial Bureau of Statistics of China. We used fractional polynomial regression and generalised additive models to assess associations between PFI and nutritional outcomes and between PFI and levels of urbanisation., Findings: Between 1985 and 2014, 1 513 435 students participated in the Chinese National Survey on Students' Constitution and Health, and 1 494 485 were included in our study. We observed a decline of the PFI during 1985-2014 (overall PFI change -0·8), albeit with an increase from 1985 to 1995 (PFI change 1·2), coinciding with a shift in the major nutritional problems from stunting and thinness to overweight and obesity. Both undernourished (PFI -2·44 for thin and -3·42 for stunting) and overnourished (-1·49 for overweight and -3·63 for obese) students had a lower PFI than that of those with normal weight (-0·41) in 2014. Boys had a larger decline in PFI than girls in 1985-2014, especially boys with obesity (PFI change -2·7). We observed the highest PFI in 1995 (1·17), when the proportion of students with normal weight was highest. Advancing urbanisation was accompanied by declines in physical fitness, which occurred in both students in rural settings and those in urban settings in these regions., Interpretation: Our study supports the continuation of policies to improve physical fitness that focus on undernutrition, including economic subsidies, in poorer rural regions. However, for most of China, taxation of unhealthy foods, promotion of physical activity, reduction in academic pressures, promotion of dietary diversity, reduction of sedentary time, and engagement in formal sporting activities should be elements of policies to promote healthy weight status and prevent obesity in school students, which will also support physical fitness., Funding: National Natural Science Foundation, Humanities and Social Sciences Planning Fund Project, China Scholarship Council, and Innovation Fund for Outstanding Doctoral Candidates of Peking University Health Science Center., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Background: Socioeconomic development is widely regarded as contributing to improved nutrition in children. We aimed to assess the association between socioeconomic indicators and child and adolescent nutritional status, and the differences in this association between urban and rural areas., Methods: We extracted data from the 1995, 2000, 2005, 2010, and 2014 cycles of the Chinese National Survey on Students' Constitution and Health. We analysed these data for three nutritional outcomes-stunting, thinness, and overweight and obesity-in children and adolescents aged between 7 and 18 years, as defined by WHO standards and classifications. We included three socioeconomic indicators-gross domestic product (GDP) per capita, Engel coefficient (the proportion of household income spent on food), and urbanisation ratio-at both national and subnational levels for each survey year. We used logistic regression models to estimate the association between socioeconomic indicators and child nutritional status, and used prevalence odds ratios (ORs) to assess the urban-rural disparity for nutritional status over time. We also used generalised additive models to evaluate differences in associations between socioeconomic and nutritional status between urban and rural areas., Findings: We included 1 054 602 participants (204 932 in 1995; 209 167 in 2000; 225 213 in 2005; 208 136 in 2010; 207 154 in 2014) with complete records on age, sex, nationality, height, and weight in the final analyses, and the final dataset contained 29 provinces (Hong Kong, Macau, Taiwan, Chongqing, and Tibet were excluded) with complete socioeconomic indicator information and student nutritional status information. From 1995 to 2014, the mean stunting prevalence in Chinese children and adolescents decreased from 8·1% (95% CI 8·0-8·2) to 2·4% (2·4-2·5), and the mean thinness prevalence declined from 7·5% (7·4-7·6) to 4·1% (4·0-4·2). Overweight and obesity mean prevalence increased from 5·3% (5·2-5·4) to 20·5% (20·4-20·7). We observed an inverse association between socioeconomic indicators and mean stunting and thinness prevalence, and found a positive association between socioeconomic indicators and overweight and obesity prevalence. The urban-rural disparity in nutritional status gradually diminished, with the prevalence ORs approaching equivalence over time. More rapid improvement of socioeconomic indicators was associated with changed nutritional status in children and adolescents, but with differences across urban and rural settings. The association between socioeconomic status and overweight and obesity was stronger in rural than in urban areas. Improvements (reductions) in the Engel coefficient were accompanied by a greater reduction of stunting and thinness in rural than in urban areas., Interpretation: Although socioeconomic development has been accompanied by continued improvements in stunting and thinness, a marked increase has occurred in overweight and obesity in Chinese children and adolescents, particularly in rural areas. There is a pressing need for policy actions to extend beyond an emphasis on economic growth alone, and to focus on promotion of healthy diets and physical activity., Funding: National Natural Science Foundation, The Research Special Fund for Public Welfare Industry of Health of the Ministry of Health of China, and China Scholarship Council., (Copyright © 2019 Elsevier Ltd. All rights reserved.)