Literature DB >> 27660318

25-year trends in gender disparity for obesity and overweight by using WHO and IOTF definitions among Chinese school-aged children: a multiple cross-sectional study.

Yi Song1, Hai-Jun Wang2, Bin Dong3, Jun Ma2, Zhiqiang Wang4, Anette Agardh5.   

Abstract

OBJECTIVES: We sought to explore 25-year trends of gender disparity in the prevalence of obesity and overweight both in urban and rural areas among Chinese children from 1985 to 2010.
METHODS: Data included 1 280 239 children aged 7-18 years enrolled in the Chinese National Survey on Students's Constitution and Health (CNSSCH), which is the largest nationally representative sample of school-aged children in China. Obesity and overweight were defined according to both WHO and the International Obesity Task Force (IOTF) definitions. Logistic regression was used to estimate the prevalence OR (POR) of gender for obesity and overweight prevalence in different surveys.
RESULTS: The prevalence of obesity increased (WHO definition: from 0.10% to 4.3%; IOTF definition: from 0.03% to 2.2%) over the past 25 years in urban and rural areas among Chinese children and it was much higher among boys than girls at each survey point (p<0.01). The increasing trend was significant in all age subgroups (p<0.01). Although the prevalence of obesity continuously increased in boys and girls, the changing pace was more rapid in boys than in girls. PORs of boys versus girls for obesity also increased over time, and the estimates of PORs were higher in urban areas than in rural areas at each survey point.
CONCLUSIONS: The gradually increasing gender disparity in urban and rural areas suggests that the prevalence of obesity and overweight in boys, and especially in urban boys, contributes to a large and growing proportion of obese and overweight children. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Entities:  

Keywords:  Children; China; gender disparity; obesity; overweight

Year:  2016        PMID: 27660318      PMCID: PMC5051387          DOI: 10.1136/bmjopen-2016-011904

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


The study population was derived from national surveys from 1985 to 2010, and a consistent stratified cluster sampling procedure and method of measurement contributed to the comparability of the data from different survey years. We provided the prevalence of obesity and overweight using both the WHO and International Obesity Task Force definitions at the national level, making international comparisons possible. This is one of the largest reports in Asian children on gender disparity related to the temporal change in obesity and overweight prevalence in urban and rural areas, thus providing new information about OR prevalence trends for obesity in boys versus girls. Some 15–18-year-old adolescents who could not attend senior high school were not investigated in the school-based national survey. Some risk factors that were not measured in this study, such as family income, parents' body mass index and number of siblings, may also contribute to the trends in obesity.

Introduction

Childhood obesity is becoming a topic of great concern due to the rising prevalence of this condition across the globe.1–3 A previous study predicted that by 2010, over 40% of children in the North American and Eastern Mediterranean WHO regions, 38% in the European region, 27% in the Western Pacific region and 22% in the South-East Asian region would be overweight/obese.4 China has now joined the world epidemic of obesity, in which the prevalence of childhood overweight has markedly increased from 1.11% in 1985 to 9.62% in 2010, while the prevalence of childhood obesity increased from 0.13% in 1985 to 4.95% in 2010.5 Worldwide, the combined prevalence of overweight and obesity rose by 47.1% for children between 1980 and 2013.6 Since 1980, the prevalence of overweight and obesity in developed countries has increased from 16.9% to 23.8% in boys and 16.2% to 22.6% in girls; similarly, the prevalence has also increased in developing countries from 8.1% to 12.9% in boys and from 8.4% to 13.4% in girls.6 Although the obesity prevalence in either boys or girls has markedly increased in different parts of the world, gender differences in prevalence have been observed. In contrast to the USA, UK and Cuba, in many countries or regions, such as Belgium, Canada, Greece, India, Japan, mainland China and East Asia, the prevalence of obesity in boys is higher than that in girls.6–7 Previous studies showed that gender differences in secular trends in obesity varied in different regions, ethnicities and populations,8–9 but few of them focused on how gender disparities in obesity change over time. In China, it has been reported that urban children were more susceptible to obesity than rural children,10–11 and the changing pace of obesity prevalence was faster in boys than in girls in urban Chinese children.11 However, the question still remains as to whether this trend exists in rural areas in China and how gender disparities in obesity and overweight change over time in urban and rural areas. This study may therefore have implications for health policymakers and researchers considering targeted intervention strategies for obesity prevention. This study used data from the recent Chinese National Survey on Students' Constitution and Health (CNSSCH, 2010),12 and earlier surveys (CNSSCH, 1985, 1995, 2000, 2005);13–16 these are a series of nationally representative surveys among school-aged children in China. The objectives of our study were to: (1) describe the secular trend in the prevalence of obesity and overweight over the past 25 years among Chinese school-aged children; (2) identify whether the gender disparity in the prevalence of obesity and overweight became larger or smaller, that is, whether the pace of increase was different between boys and girls; and (3) assess whether the gender disparity showed different trends in urban and rural areas.

Participants and methods

Participants

Data were obtained from the 1985, 1995, 2000, 2005 and 2010 cycles of the CNSSCH, a joint project of the Ministries of Education, Health, Science and Technology, the State Ethnic Affairs Commission, and the State Sports General Administration of People's Republic of China.12–16 The sampling procedure, as previously described in detail,5 11 17 was the same in all CNSSCH at each time point. The participants were primary and high school students aged 7–18 years, who were selected from the same areas in each province from 1985 to 2010. This study only included participants of Han ethnicity, who account for 92% of the total Chinese populations, from 26 mainland provinces and 4 municipalities of mainland China, excluding Tibet (where Han ethnicity is a minority). The sample sizes in CNSSCH in different years ranged from 12 193 to 25 678 in each gender-specific and age-specific subgroup, and the ratio of boy/girl or urban/rural was ∼1:1 in each survey. Thus, a total of 1 280 239 participants were included in the analyses, and all children had complete data on age, sex, areas, weight and height (see online supplementary table S1). The sample size in each subgroup was larger in 1985 than in the subsequent years, because the Chinese government consulted relevant experts after the 1985 survey and consequently revised the sample size that was deemed to be sufficient for statistical analyses. To ensure national representation, the surveys after 1985 proposed to select the same schools as in 1985, but fewer students in each school; thus, more than 85% of the schools sampled were identical in each survey. All participants were selected by stratified cluster sampling, in that sampling took place in classes randomly selected from each grade in the selected school; thus the sample size in sex-specific and age-specific subgroups varied slightly in each survey after 1985. All eligible participants had lived in the same area for at least 1 year and received a medical examination by physicians before measurement. Students were excluded from the survey if they had at least one of the following conditions: (1) serious organ diseases (heart, lung, liver and kidney); (2) abnormal physical development, for example, pygmyism and gigantism; (3) physical impairment or deformity, such as severe scoliosis, chicken breast, limp, obvious O leg and X leg; (4) acute diseases or high fever, diarrhoea and other acute diseases during the past month, and not yet recovered. Each province had an equal sample size from three socioeconomic classes (‘upper’, ‘moderate’ and ‘low’) at the regional level. Five aspects were taken into consideration in defining the socioeconomic status of the regional level: regional gross domestic product, total yearly income per capita, average food consumption per capita, natural growth rate of population and the regional social welfare index.5 11 17

Measures

Height (cm) and weight (kg) were measured, using the same types of instruments according to the standard procedures in all survey sites.12–16 Participants were required to wear only light clothing and stand straight, barefooted and at ease when being measured. Weight was measured to the nearest 0.1 kg with a standardised scale and height was measured to the nearest 0.1 cm with a portable stadiometer. Both the scales and stadiometers were calibrated before use. The measurements were generally carried out at the same time of the day during the survey. Body mass index (BMI) was calculated as body weight (kg) divided by height (m) squared (kg/m2). BMI-for-age Z-score is a quantitative measure of the deviation of a specific BMI value from the mean of that population, and was calculated with the WHO (WHO 2007) references.18 Obesity and overweight were defined using the growth references of BMI-for-age Z-score for 5–19 years developed by WHO: thinness: <−2SD; overweight: >+1SD; obesity: >+2SD.19 To enable comparisons with other studies, we also used definitions from the International Obesity Task Force (IOTF).20 Measurements at the survey site were conducted by a team of field professionals who had passed a training course in anthropometric measurements.

Statistical analyses

We present prevalence estimates for obesity and overweight in different survey years according to gender, urban–rural areas and age groups. To test for trend across years, we regressed survey years as an ordinal variable on the binary outcome of obesity. To assess gender differences at each time point, we used logistic regression to estimate the prevalence OR (POR) for obesity and overweight in boys versus girls, and estimated the PORs by age group with adjustment for urban–rural area and socioeconomic status in the models. The design effect of cluster sampling by school was also taken into account in the model. All analyses were conducted by using Stata V.12.1. A two-sided p value<0.05 was considered significant.

Results

Trends in the prevalence of obesity and overweight among Chinese children

The prevalence of obesity increased over the past 25 years in Chinese children according to both the WHO and IOTF definitions and was much higher among boys than girls at each survey point (p<0.01). When stratified by urban–rural area, the urban children showed higher prevalence of obesity than their rural peers; furthermore, the prevalence of obesity in either urban or rural boys contributed more to the growing proportion of obese children than did the prevalence of obesity in girls. The combined prevalence of obesity and overweight showed a similar pattern except for the 1985 CNSSCH (table 1).
Table 1

Obesity prevalence for all children 7–18 years of age by survey year

CategoryWHO definition, % (95% CI)
IOTF definition, % (95% CI)
TotalBoysGirlsTotalBoysGirls
Urban areas
Obesity
 19850.16 (0.14 to 0.18)0.24 (0.21 to 0.27)0.08 (0.06 to 0.10)0.05 (0.04 to 0.05)0.05 (0.04 to 0.07)0.04 (0.02 to 0.05)
 19951.5 (1.5 to 1.6)2.3 (2.2 to 2.5)0.75 (0.67 to 0.82)0.68 (0.63 to 0.73)0.95 (0.87 to 1.03)0.41 (0.36 to 0.47)
 20003.3 (3.2 to 3.4)5.1 (4.9 to 5.3)1.5 (1.4 to 1.6)1.6 (1.5 to 1.6)2.4 (2.2 to 2.5)0.78 (0.71 to 0.86)
 20054.7 (4.6 to 4.8)7.3 (7.1 to 7.5)2.0 (1.9 to 2.1)2.3 (2.2 to 2.4)3.4 (3.3 to 3.6)1.2 (1.1 to 1.2)
 20105.6 (5.5 to 5.7)9.0 (8.7 to 9.2)2.2 (2.1 to 2.4)2.8 (2.6 to 2.9)4.3 (4.1 to 4.5)1.3 (1.2 to 1.3)
p Trend test*<0.001<0.001<0.001<0.001<0.001<0.001
Overweight+obesity
 19851.5 (1.4 to 1.5)1.6 (1.6 to 1.7)1.3 (1.2 to 1.4)0.88 (0.84 to 0.92)0.89 (0.83 to 0.95)0.86 (0.81 to 0.92)
 19957.6 (7.4 to 7.8)9.7 (9.4 to 10.0)5.5 (5.3 to 5.7)5.3 (5.2 to 5.5)6.6 (6.3 to 6.8)4.1 (3.9 to 4.3)
 200013.0 (12.8 to 13.2)17.2 (16.9 to 17.5)8.8 (8.6 to 9.1)9.6 (9.4 to 9.8)12.4 (12.1 to 12.6)6.8 (6.6 to 7.0)
 200516.5 (16.3 to 16.7)22.0 (21.7 to 22.3)11.0 (10.8 to 11.3)12.6 (12.4 to 12.8)16.6 (16.3 to 16.9)8.5 (8.3 to 8.8)
 201019.0 (18.8 to 19.3)25.2 (24.9 to 25.6)12.9 (12.6 to 13.2)14.5 (14.3 to 14.8)19.2 (18.9 to 19.5)9.9 (9.6 to 101)
p Trend test*<0.001<0.001<0.001<0.001<0.001<0.001
Rural areas
Obesity
 19850.04 (0.03 to 0.05)0.05 (0.04 to 0.06)0.02 (0.01 to 0.03)0.01 (0.01 to 0.02)0.01 (0.01 to 0.02)0.01 (0.01 to 0.02)
 19950.40 (0.36 to 0.44)0.58 (0.51 to 0.65)0.21 (0.17 to 0.25)0.18 (0.16 to 0.21)0.24 (0.20 to 0.28)0.13 (0.10 to 0.16)
 20001.1 (1.1 to 1.2)1.7 (1.5 to 1.8)0.57 (0.51 to 0.63)0.56 (0.51 to 0.60)0.76 (0.68 to 0.83)0.36 (0.31 to 0.41)
 20052.0 (1.9 to 2.0)3.0 (2.8 to 3.1)0.95 (0.87 to 1.03)0.89 (0.84 to 0.95)1.2 (1.1 to 1.3)0.55 (0.49 to 0.61)
 20103.1 (3.0 to 3.2)4.8 (4.6 to 5.0)1.4 (1.3 to 1.5)1.5 (1.4 to 1.6)2.2 (2.1 to 2.4)0.80 (0.72 to 0.87)
p Trend test*<0.001<0.001<0.001<0.001<0.001<0.001
Overweight+obesity
 19850.75 (0.71 to 0.79)0.53 (0.48 to 0.57)0.98 (0.92 to 1.04)0.46 (0.43 to 0.49)0.25 (0.22 to 0.28)0.68 (0.63 to 0.73)
 19952.8 (2.7 to 2.9)3.0 (2.8 to 3.1)2.5 (2.4 to 2.7)1.8 (1.7 to 1.9)1.9 (1.8 to 2.0)1.7 (1.6 to 1.9)
 20005.3 (5.2 to 5.4)6.4 (6.2 to 6.6)4.2 (4.0 to 4.3)3.7 (3.6 to 3.8)4.3 (4.1 to 4.5)3.1 (2.9 to 3.2)
 20058.1 (8.0 to 8.3)10.2 (9.9 to 10.4)6.1 (5.9 to 6.3)5.8 (5.7 to 5.9)7.0 (6.8 to 7.2)4.5 (4.4 to 4.7)
 201011.8 (11.6 to 12.0)15.2 (14.9 to 15.5)8.5 (8.3 to 8.7)8.7 (8.6 to 8.9)10.9 (10.8 to 11.2)6.5 (6.3 to 6.7)
p Trend test*<0.001<0.001<0.001<0.001<0.001<0.001
All
Obesity
 19850.10 (0.10 to 0.11)0.14 (0.13 to 0.16)0.05 (0.04 to 0.06)0.03 (0.02 to 0.03)0.03 (0.03 to 0.04)0.03 (0.02 to 0.03)
 19950.98 (0.93 to 1.02)1.5 (1.4 to 1.5)0.48 (0.44 to 0.53)0.44 (0.41 to 0.46)0.60 (0.55 to 0.64)0.27 (0.24 to 0.31)
 20002.2 (2.1 to 2.3)3.4 (3.3 to 3.5)1.0 (1.0 to 1.1)1.1 (1.0 to 1.1)1.6 (1.6 to 1.6)0.57 (0.53 to 0.62)
 20053.3 (3.2 to 3.4)5.2 (5.0 to 5.3)1.5 (1.4 to 1.6)1.6 (1.6 to 1.7)2.3 (2.3 to 2.4)0.85 (0.80 to 0.91)
 20104.3 (4.3 to 4.4)6.9 (6.7 to 7.0)1.8 (1.8 to 1.9)2.2 (2.1 to 2.2)3.3 (3.2 to 3.4)1.0 (1.0 to 1.1)
p Trend test*<0.001<0.001<0.001<0.001<0.001<0.001
Overweight+obesity
 19851.1 (1.1 to 1.1)1.1 (1.0 to 1.1)1.1 (1.1 to 1.2)0.67 (0.64 to 0.69)0.57 (0.54 to 0.60)0.77 (0.73 to 0.81)
 19955.2 (5.1 to 5.3)6.3 (6.2 to 6.5)4.0 (3.9 to 4.2)3.6 (3.5 to 3.7)4.2 (4.1 to 4.4)2.9 (2.8 to 3.0)
 20009.2 (9.1 to 9.3)11.8 (11.7 to 12.0)6.5 (6.4 to 6.7)6.7 (6.5 to 6.8)8.4 (8.2 to 8.5)4.9 (4.8 to 5.1)
 200512.4 (12.2 to 12.5)16.1 (15.9 to 16.3)8.6 (8.4 to 8.7)9.2 (9.1 to 9.3)11.8 (11.7 to 12.0)6.5 (6.4 to 6.7)
 201015.4 (15.3 to 15.6)20.2 (20.0 to 20.4)10.7 (10.5 to 10.9)11.6 (11.5 to 11.8)15.1 (14.9 to 15.3)8.2 (8.0 to 8.4)
p Trend test*<0.001<0.001<0.001<0.001<0.001<0.001

*p Value represent test of linear trends across year.

Obesity prevalence for all children 7–18 years of age by survey year *p Value represent test of linear trends across year.

Trends in the prevalence of obesity and overweight by age group

Table 2 shows that highest prevalence of obesity was observed in the 7–9-year-old subgroup, and the highest combined prevalence of obesity and overweight was observed in the 10–12-year-old subgroup in boys. The prevalence of obesity in all age subgroups showed an increasing trend over time in boys as well as in girls (p<0.001). Both the increments per year and ratio increments of the prevalence of obesity between two adjacent surveys were higher in boys than in girls at each survey point, as was the prevalence of obesity and overweight combined (see online supplementary table S2).
Table 2

Overweight and obesity prevalence by age group for boys and girls separately, by survey year

WHO definition (%)
IOTF definition (%)
Obesity
Overweight+obesity
Obesity
Overweight+obesity
7–9 years10–12 years13–15 years16–18 years7–9 years10–12 years13–15 years16–18 years7–9 years10–12 years13–15 years16–18 years7–9 years10–12 years13–15 years16–18 years
Boys
 19850.330.160.070.021.41.50.960.450.080.020.020.010.670.630.540.43
 19952.12.01.20.56.78.96.43.30.750.580.660.403.85.24.83.1
 20005.04.62.51.413.816.110.57.02.01.71.51.18.510.08.26.8
 20057.97.23.61.920.122.113.98.53.22.72.11.413.214.711.18.3
 201010.59.94.82.224.828.017.910.14.54.02.81.716.919.314.39.9
p Trend test *<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001
Girls
 19850.120.050.020.020.840.891.41.40.060.020.010.010.530.490.911.2
 19950.660.690.410.193.74.84.63.00.380.310.250.162.53.23.42.7
 20001.51.40.770.467.67.96.14.50.820.600.510.375.35.54.84.1
 20052.22.01.20.5710.411.17.94.91.20.930.810.477.57.96.34.5
 20103.12.51.20.5313.514.19.55.51.71.10.850.4210.09.97.75.1
p Trend test *<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001

*p Value represent test of linear trends across year.

Overweight and obesity prevalence by age group for boys and girls separately, by survey year *p Value represent test of linear trends across year.

PORs of boys versus girls for obesity and overweight

Higher PORs of obesity were observed between 1985 and 2010 in urban and rural areas (figure 1 and see online supplementary table S3). The interaction between gender and time was statistically significant (p<0.01). We estimated the PORs for obesity in different years among various age subgroups with similar trends in PORs observed (data not shown). When PORs for obesity were assessed after stratification by urban–rural area, the POR estimates were higher in urban areas than those in rural areas at each survey point. However, the increase in PORs for obesity in rural areas was more rapid than the increase in urban areas over time (figure 1 and see online supplementary table S3). Although in the 1985 CNSSCH the gender differences for obesity and overweight showed inconsistent directions in urban and rural areas according to the WHO definition; the trends of PORs of boys versus girls showed a similar pattern (figure 1 and see online supplementary table S3). In the analyses stratified by socioeconomic class, the temporal trends of POR in three different regions (‘upper’, ‘moderate’ and ‘low’) were similar to the trends in the total sample (data not shown).
Figure 1

Prevalence ORs (POR) with 95% CI for obesity and overweight of boys compared with girls in different year of CNSSCH by urban—rural areas, adjusted for age, socioeconomic status, and school. (A) shows PORs for obesity of gender disparity by using WHO definition. (B) shows PORs for obesity of gender disparity by using IOTF definition; (C) shows PORs for obesity and overweight of gender disparity by using WHO definition; and (D) shows PORs for obesity and overweight of gender disparity by using IOTF definition. CNSSCH, Chinese National Survey on Students's Constitution and Health; IOTF, International Obesity Task Force.

Prevalence ORs (POR) with 95% CI for obesity and overweight of boys compared with girls in different year of CNSSCH by urban—rural areas, adjusted for age, socioeconomic status, and school. (A) shows PORs for obesity of gender disparity by using WHO definition. (B) shows PORs for obesity of gender disparity by using IOTF definition; (C) shows PORs for obesity and overweight of gender disparity by using WHO definition; and (D) shows PORs for obesity and overweight of gender disparity by using IOTF definition. CNSSCH, Chinese National Survey on Students's Constitution and Health; IOTF, International Obesity Task Force.

Discussion

This study indicated that the prevalence of obesity and overweight increased dramatically between 1985 and 2010. These findings were consistent with previous reports showing that the prevalence of general obesity and abdominal obesity increased significantly among Chinese children age 6–17 years from 1993 to 2009; general obesity (including overweight) rose from 6.1% to 13.1% and abdominal obesity from 4.9% to 11.7%.21 The trends of obesity and overweight were also in agreement with previous studies in other countries.6–8 However, this study is the first to report temporal changes in gender disparities concerning the prevalence of obesity and overweight in urban and rural areas of China. In the present study, we found that the gender differences in the prevalence of obesity and overweight became larger and larger. The year 1985 can be considered as the beginning of a childhood overweight and obesity epidemic in China,5 and at that time, the prevalence of obesity and overweight was very low. In the mid-1980s the Chinese government initiated a series of food policies for liberalising pricing and food procurement, which improved the food supply and made diverse foods available.5 22 In 1993, the government abolished grain rationing systems, and afterwards, the food supply has remained adequate and stable and has been more and more abundant.23 The abundant food supply may have provided a basis for the childhood obesity epidemic, and in the present study, we also found that there was a rapid increase in the prevalence of obesity and overweight from 1985 to 2010. Several studies have observed that there is a gender difference in obesity prevalence.1 5 6 11 In many Western countries the prevalence of childhood obesity was higher in girls, whereas, in Asian countries, especially in China, the prevalence of childhood obesity was higher in boys than in girls.6 11 In Taiwanese children aged 6–18 years, the percentage of overweight boys and obese students increased from 5.7% to 14.2% and from 7.9% to 17.4%, respectively, between 1991 and 2003. Meanwhile, the corresponding prevalence among girls increased from 11.1% to 13.4% and from 3.1% to 4.1%, respectively.24 Although the definition of obesity differed, our previous study which focused on Chinese urban children also found a significantly greater increasing trend of obesity prevalence in boys and girls, and the PORs associated with gender increased over time in all age subgroups.11 Based on the previous studies, we found that gender disparity in obesity and overweight prevalence had different characteristics among different populations, which suggests the need to develop context-specific public health strategies. As genetic drifts are unlikely to occur within 25 years, the variation of gender differences in obesity and overweight was most likely due to changes in other factors. Perception of obesity could partly contribute to the gender differences in obesity and overweight. According to Chinese cultural tradition, overweight or obesity is not regarded negatively, but, rather is viewed as good health, especially in boys. Elderly people prefer larger infants and regard overweight boys as stronger individuals.25 Many parents are unaware of their children's overweight or obese status, and some parents are more likely to underestimate the weight status of their sons compared with their daughters.25 26 Owing to such factors, Chinese boys may generally have a different self-concept of body image compared with Western boys,27 and overweight or obesity in boys is not recognised as detrimental or unbearable. On the other hand, Chinese girls prefer a slender shape,28 and they are more likely to control their weight compared with their male counterparts. Moreover, changes in lifestyle may contribute to the gender disparity in obesity and overweight as well. The China Health and Nutrition Surveys found that the prevalence of screen time ≥2 hours/day increased from 11.2% in 1997 to 44.3% in 2006 among urban boys aged 13–18 years, while it increased from 9.7% to 34.7% in the same period among urban girls.29 China has already developed some guidelines to control general childhood obesity, such as Guidelines on Snacks for Chinese Children and Adolescents (published in 2008)30 and the School-age Children and Teenagers Overweight and Obesity Prevention and Control Guidelines (issued in 2007).31 However, these guidelines did not consider gender differences. Gender specific preventive guidelines and public health policies for childhood obesity should be formulated in the future. Considering that less physical activity was also closely related to overweight and obesity among Chinese school-aged students,32 we suggest separating girls and boys for the physical education class, which despite its lack of popularity in many schools, would increase the boys' exercise33 and create supporting environments to encourage both boys and girls to take part in physical activities. Most developed countries reported that children residing in rural areas had a higher risk of overweight and obesity compared with children residing in urban areas,34 while developing countries reported the opposite.35 In the present study, we found that the prevalence of obesity and overweight was higher in urban than rural children, which was consistent with reports from India and Brazil.35 36 In line with previous studies, we found that the gender difference in obesity and overweight prevalence was larger among urban than rural children. This difference between urban and rural areas may be associated with differences in exposure to obesogenic environmental factors,37 such as access to high-energy-density foods and less physical activity, both of which are more common among urban children than their rural counterparts.38 However, with increasing urbanisation and the convergence of lifestyles between urban and rural areas, the pace of obesity prevalence has become more rapid in rural areas over time.22 This may contribute to diminishing gender disparities in PORs between urban and rural areas. Therefore, policymakers and experts should develop gender-specific interventions for obesity, and also consider the urban–rural disparities. Policymakers should not neglect the obesity epidemic in rural populations, although their obesity prevalence is still lower than that in urban populations. However, considering that absolute burden is still considerably higher in urban areas given the prevalence as well as the population distribution, obesity prevention and control should be advocated in urban areas of China. The current study uses data from the largest nationally representative survey of Chinese school-aged children to date. However, the study has several limitations. First, the CNSSCH data collection was carried out in schools and therefore, some 15–18-year-old adolescents who could not attend senior high school, mainly in rural areas, were excluded from our sample.39 However, similar patterns were observed among all five surveys, even after stratification by urban–rural area. Second, the absence of detailed information at the individual level, such as family income, parents' BMI and number of siblings, may have posed limitations. However, some studies reported that gender was an independent factor for childhood obesity when family income, parents' BMI and the number of siblings were adjusted for.11 40–42

Conclusion

In summary, this study observed a dramatic increase in the prevalence of childhood obesity and overweight in Chinese boys and girls, with the prevalence in boys making a larger contribution to the rapid increase than the prevalence in girls. Although urban boys should be the key target of obesity prevention, more attention should be paid to rural boys, since the pace of the obesity epidemic in rural areas was much faster.
  31 in total

1.  Obesity and related health behaviors among urban and rural children in the United States: data from the National Health And Nutrition Examination Survey 2003-2004 and 2005-2006.

Authors:  Ann McGrath Davis; Kevin J Bennett; Christie Befort; Nikki Nollen
Journal:  J Pediatr Psychol       Date:  2011-01-11

2.  Income disparities in obesity trends among California adolescents.

Authors:  Susan H Babey; Theresa A Hastert; Joelle Wolstein; Allison L Diamant
Journal:  Am J Public Health       Date:  2010-09-23       Impact factor: 9.308

3.  Secular trends of obesity prevalence in Chinese children from 1985 to 2010: Urban-rural disparity.

Authors:  Yi Song; Jun Ma; Hai-Jun Wang; Zhiqiang Wang; Peijin Hu; Bing Zhang; Anette Agard
Journal:  Obesity (Silver Spring)       Date:  2014-12-17       Impact factor: 5.002

Review 4.  Parental underestimates of child weight: a meta-analysis.

Authors:  Alyssa Lundahl; Katherine M Kidwell; Timothy D Nelson
Journal:  Pediatrics       Date:  2014-02-02       Impact factor: 7.124

Review 5.  Child and adolescent obesity: part of a bigger picture.

Authors:  Tim Lobstein; Rachel Jackson-Leach; Marjory L Moodie; Kevin D Hall; Steven L Gortmaker; Boyd A Swinburn; W Philip T James; Youfa Wang; Klim McPherson
Journal:  Lancet       Date:  2015-02-19       Impact factor: 79.321

6.  Development of a WHO growth reference for school-aged children and adolescents.

Authors:  Mercedes de Onis; Adelheid W Onyango; Elaine Borghi; Amani Siyam; Chizuru Nishida; Jonathan Siekmann
Journal:  Bull World Health Organ       Date:  2007-09       Impact factor: 9.408

7.  Prevalence and secular trends in overweight and obese Taiwanese children and adolescents in 1991-2003.

Authors:  Tsan-Hon Liou; Yi-Ching Huang; Pesus Chou
Journal:  Ann Hum Biol       Date:  2009 Mar-Apr       Impact factor: 1.533

8.  Establishing a standard definition for child overweight and obesity worldwide: international survey.

Authors:  T J Cole; M C Bellizzi; K M Flegal; W H Dietz
Journal:  BMJ       Date:  2000-05-06

9.  Secular trends in prevalence of overweight and obesity from 2006 to 2009 in urban asian Indian adolescents aged 14-17 years.

Authors:  Deepak Kumar Gupta; Priyali Shah; Anoop Misra; Swati Bharadwaj; Seema Gulati; Nidhi Gupta; Rekha Sharma; Ravindra M Pandey; Kashish Goel
Journal:  PLoS One       Date:  2011-02-23       Impact factor: 3.240

10.  Temporal trends and recent correlates in sedentary behaviours in Chinese children.

Authors:  Zhaohui Cui; Louise L Hardy; Michael J Dibley; Adrian Bauman
Journal:  Int J Behav Nutr Phys Act       Date:  2011-08-26       Impact factor: 6.457

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  22 in total

1.  Association of Visual Impairment With Economic Development Among Chinese Schoolchildren.

Authors:  Catherine Jan; Rongbin Xu; Dongmei Luo; Xiuqin Xiong; Yi Song; Jun Ma; Randall S Stafford
Journal:  JAMA Pediatr       Date:  2019-07-01       Impact factor: 16.193

2.  Genotype-by-sex-by-diet interactions for nutritional preference, dietary consumption, and lipid deposition in a field cricket.

Authors:  James Rapkin; Kim Jensen; Clarissa M House; Alastair J Wilson; John Hunt
Journal:  Heredity (Edinb)       Date:  2018-08-08       Impact factor: 3.821

3.  Prevalence and associated factors of overweight and obesity among primary school children: a cross-sectional study in Thanhhoa City, Vietnam.

Authors:  Giang Ba Le; Dai Xuan Dinh
Journal:  BMJ Open       Date:  2022-04-22       Impact factor: 3.006

4.  Growth and Weight Status in Chinese Children and Their Association with Family Environments.

Authors:  Xu Tian; Hui Wang
Journal:  Children (Basel)       Date:  2021-05-14

5.  Reference Equations for the Six-Minute Walk Distance in the Healthy Chinese Han Population, Aged 18-30 Years.

Authors:  He Zou; Jia Zhang; Xiaoshu Chen; Yi Wang; Wei Lin; Jianfeng Lin; Hao Chen; Jingye Pan
Journal:  BMC Pulm Med       Date:  2017-08-29       Impact factor: 3.317

6.  Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults.

Authors: 
Journal:  Lancet       Date:  2017-10-10       Impact factor: 79.321

7.  20-year trends in prevalence of overweight and obesity among children aged 0-6 in Harbin, China: A multiple cross-sectional study.

Authors:  Wei Liu; Qin Li; Hui Li; Jia Li; Hai-Jun Wang; Bin Li
Journal:  PLoS One       Date:  2018-06-04       Impact factor: 3.240

8.  Prevalence and stabilizing trends in overweight and obesity among children and adolescents in China, 2011-2015.

Authors:  Jiguo Zhang; Huijun Wang; Zhihong Wang; Wenwen Du; Chang Su; Ji Zhang; Hongru Jiang; Xiaofang Jia; Feifei Huang; Yifei Ouyang; Yun Wang; Bing Zhang
Journal:  BMC Public Health       Date:  2018-05-02       Impact factor: 3.295

9.  Improving Physical Fitness and Cognitive Functions in Middle School Students: Study Protocol for the Chinese Childhood Health, Activity and Motor Performance Study (Chinese CHAMPS).

Authors:  Zhixiong Zhou; Shanshan Dong; Jun Yin; Quan Fu; Hong Ren; Zenong Yin
Journal:  Int J Environ Res Public Health       Date:  2018-05-14       Impact factor: 3.390

10.  Prevalence and risk factors of elevated alanine aminotransferase among Korean adolescents: 2001-2014.

Authors:  Ju Whi Kim; Kyung Jae Lee; Hye Ran Yang; Ju Young Chang; Jin Soo Moon; Young-Ho Khang; Jae Sung Ko
Journal:  BMC Public Health       Date:  2018-05-11       Impact factor: 3.295

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