Nutritional status of children aged 2-18 years old: a single-center study in China

DOI: https://doi.org/10.21203/rs.3.rs-155305/v1

Abstract

Background:

To assess the nutritional status and associated factors of abnormal nutritional status(malnutrition, overweight and obesity) among children aged 2 to 18 years old in Southwestern China.

Methods:

Children attending routine health checkups at the Children's Hospital of Chongqing Medical University between April 2017 and March 2020 were enrolled in this study. Nutritional status was defined based on BMI cut-off values, and statistically analyzed based on gender, region, and age. Multinomial logistic regression analysis was performed to identify the risk factors for abnormal nutritional status.

Results:

The overall prevalence of malnutrition, overweight and obesity was 5.87% ,9.81% and 10.50%, respectively. The prevalence of obesity and malnutrition in boys was higher than that in girls (P<0.01), while the prevalence of overweight is reversed (P<0.05). The prevalence of overweight among boys in urban regions was higher than in rural regions (P<0.05). Boys had the highest prevalence of obesity (P<0.01), girls had the lowest prevalence of malnutrition (P<0.05) in the 13-18 year-old group.The aOR for obesity and malnutrition in girls was 0.80 (95% CI: 0.73–0.87) and 0.80 (95% CI: 0.71–0.90), respectively. Compared to adolescents in the 13-18 year-old group,the aOR for obesity in children in the 2-6 year-old group, for malnutrition in children in the 7-12 year-old group was 0.55 (95% CI: 0.46–0.67)and 1.70 (95% CI: 1.25–2.33),respectively.

Conclusions:

The nutritional status of children and adolescents in Southwest China is comparable to that at the national level. The prevalence of obesity and malnutrition is shown to be associated with gender, and age.

Background

Nutrition has a profound effect on cognitive and social development in children and adolescents [1]. Being malnourished, overweight or obese during childhood or adolescence is associated with adverse health consequences [2]. Obesity and overweight contribute to a high burden of chronic diseases, such as hyperlipidemia, diabetes, cardiovascular diseases, nephritic diseases, hepatic diseases, and high levels of disability all of which increase the rate of premature mortality [3]. Besides, obesity and overweight cause serious health problems in children and adolescents including growth and developmental problems, psychological disorders and cognitive dysfunction [46]. In adolescents, obesity and overweight influence the timing of puberty. Malnutrition can trigger specific health problems in children [7], such as infectious diseases, protein-energy malnutrition, and anemia which can delay physical and brain development [8, 9]. It is estimated that 45% of deaths among children under the age of five years from low and middle-income countries are linked to malnutrition [1].Malnutrition also affects children’s economic, social, educational, and occupational performance. Various forms of nutritional status is a public health issue, whose global burden has increased over the years resulting in adverse effects on the physical and mental health of the affected [10, 11].Currently, there is no study reporting the prevalence and characteristics of the nutritional status of children in Southwestern China based on large sample size. Thus, we conducted this study to assess the nutritional status and explore the related factors of abnormal nutritional status (malnutrition, overweight, and obesity) among children aged 2 to 18 years old in Southwestern China.

Methods

Study population and research methods

A total of 22767 Children aged between 2-18 years old attending routine health checkups were enrolled in this study from April 2017 to March 2020 in the Children's Hospital of Chongqing Medical University in China. We excluded 158 children with various symptoms and chronic diseases (such as fever, diarrhea, congenital heart disease, liver or renal disease, thyroid disorder, and malignancy).

The study received approval from the Medical Ethics Committee of the Children’s Hospital of Chongqing Medical University and written informed consent was obtained from legal guardians of all children participants in accordance with the Helsinki Declaration of 1964, and revised in 2000.

In this study, participants were divided into 3 age groups; 2-6, 7-12, and 13–18 years, which is a common age range used in the Chinese educational system for kindergarten, primary school, middle- high school, respectively.

Weight (kg) and Height (cm) were measured using the same type of instruments (DST-500,Co., Ltd. Donghuayuan Medical Equipment, Beijing, China), and by trained personnel. Height was measured with the participants standing straight, barefooted, and the head in the horizontal plane. Weight was measured with the participants wearing lightweight clothing. The weight and height were measured to the nearest 0.1 kg and 0.1 cm, respectively, and the measuring instruments were calibrated before use. BMI (kg/m2) is a tool used to assess the nutritional status of individuals. It is defined as body weight (kg) divided by height (m) squared (kg/m2). Malnutrition was defined by BMI < 5th percentile, normal weight was defined by 5th ≤ BMI < 85th percentile, overweight was defined by 85th ≤ BMI <95th percentiles, and obesity was defined by BMI ≥ 95th percentile [12-16].

Data source

The participants’ basic information, including age, sex, height, weight, ethnicity, BMI, and the region was obtained.

Statistical analysis

Differences in the prevalence of obesity, overweight, and malnutrition among boys vs girls, urban vs rural region, age rang were compared using a χ2 test. Multinomial logistic regression was performed to examine the association between the three independent variables (gender, living region and age group) and the dependent variable (nutritional status). Adjusted odds ratios (aORs) with 95% confidence interval (CIs) were reported. A P <0.05 was set to determine the statistical significance. All analyses were conducted with SAS (version 9.4; SAS Institute, Cary, NC, USA).

Results

Basic information of participants

The mean age of the participants was 7.74 ± 3.19 years old. The mean weight and height of the participants was 28.10 ±13.40kg, 126.56 ±20.24cm, respectively. All participants were from Southwestern China and of Han ethnicity.

Nutritional status of participants

A total of 22609 children and adolescents were included in the final analysis. Of these, 12860 (56.88%) were boys and 9749 (43.12%) were girls. The overall prevalence of malnutrition, overweight and obesity for the participants was 5.87% ,9.81% and 10.50%, respectively. The prevalence of malnutrition, overweight and obesity in boys and girls was 6.35% vs 5.24%,9.45% vs 10.28%,and 11.39% vs 9.33%, respectively. The prevalence of malnutrition, overweight and obesity in urban and rural region was 5.86% vs 6.29%,9.87% vs 8.15%,and 10.51% vs 10.24%, respectively. The prevalence of malnutrition, overweight and obesity in the 2-6 ,7-12 and 13-18 year old group was 5.26% vs 6.69% vs 4.09%,9.13% vs 10.50% vs 9.84%,and 7.96% vs 12.79% vs 13.56%, respectively(Table 1).

The prevalence of obesity and malnutrition in boys was higher than that in girls (P<0.01),while the prevalence of overweight in boys was lower than that in girls (P<0.05). The prevalence of overweight in boys from the urban region was higher than in those from the rural region (P<0.05). There was no significant difference in the prevalence of obesity and malnutrition between boys or girls in urban and rural regions (P>0.05). Boys in the 13-18 year-old group had the highest prevalence of obesity among the three age groups (P<0.01), while girls in the 13-18 year-old group had the lowest prevalence of malnutrition (P<0.05) (Table 2).

Multinomial logistic regression model predicting obesity, overweight, and malnutrition

The results of multinomial logistic regression are shown in Table 3.

Compared with boys, the aOR for obesity and malnutrition in girls was 0.80 (95% CI: 0.73–0.87) and 0.80 (95% CI: 0.71–0.90), respectively.

The aOR for obesity in children in the 2-6 year-old group was 0.55 (95% CI: 0.46–0.67) compared with adolescents in the 13-18 year-old group. The aOR for malnutrition in children in the 7-12 year-old group was 1.70 (95% CI: 1.25–2.33) compared to adolescents in the 13-18 year-old group.

There was no significant difference in the prevalence of obesity, overweight and malnutritionin children who live in urban and rural region.

Discussion

Economic development has led to a transition from under-nutrition to a dual burden of under- and over-nutrition in children and adolescents. In this study, the overall prevalence of malnutrition, overweight, and obesity for the participants was 5.87%,9.81%, and 10.50%, respectively, which is comparable to the national level prevalence [26]. The prevalence of obesity and malnutrition in boys was higher compared with girls. These findings were consistent with the worldwide nutrition trends based on 2416 population-based measurement studies [2], and also in studies reported in European, American, African, and Asian countries. [17-26]. Although researchers have found gender differences in nutritional status in most countries, it remains unclear how gender affects the nutrition status of an individual. One of the possible explanations for this difference in Southwestern China might be the social and cultural roles played by boys and girls. For instance, parents may be more concerned about the weight and body size of girls than boys. Another possible reason may be that of the son-preference in China, where boys are allocated more resources including food [27,28].

In this study, there was no statistical difference in the prevalence of obesity, overweight, and malnutrition between children in the rural and urban regions, and this was inconsistent with results reported in other studies conducted in China [29-31].This may be attributed to the rapid economic development, reduction in urban-rural disparities over time, and improved standards of living among rural children in Southwestern China [32]. These factors have reduced the disparities in the prevalence of malnutrition, overweight, and obesity between urban-rural regions.

In this study, logistical analysis results showed that middle and high school students are more likely to be obese than kindergarten students, which differs from the research by Yishan Chen et al [33]. This may be associated with children's high academic pressure and limited exercise after school, poor and irregular diet structure in Southwest China. Therefore, more attention should be paid to the nutritional status of school-going children in higher grades.

This study showed the epidemiologic characteristics of obesity, overweight, and malnutrition in children aged 2 years and above in Southwestern China. The study presents the latest data with a large sample. It is important to understand the nutritional status of children and adopt targeted measures to prevent childhood obesity andmalnutrition. Our study also has several limitations. Firstly, it was a hospital-based study on children attending regular health check-ups, therefore, selection bias exists. Secondly, we did not have data on children’s lifestyle (such as outdoor activity time, dietary habits, etc.), which greatly affect the nutritional status of children. Therefore, a large multicenter randomized study is required to assess the nutritional status of children in Southwestern China and explore more risk factors.

Conclusion

The nutritional status of children and adolescents in Southwest China is comparable to that at the national level.The prevalence of obesity and malnutrition is shown to be associated with gender, and age.

Declarations

Ethical approval and consent to participate

The study was approved by the Medical Ethics Committee of the Children’s Hospital of Chongqing Medical University, and written informed consent was obtained from legal guardians of all children participants in agreement with the Helsinki Declaration of 1964, and revised in 2000.

Consent for publication

Not applicable.

Availability of data and materials

The datasets generated and analysed during the current study are not publicly available due to protect privacy of participants, but are available from the corresponding author on reasonable request.

Competing interests

The authors declare that they have no competing interests.

Funding

The study was supported by Child Health Management And Disease Prevention (grant number NCRCCHD-2019-HP-10).

Authors' contributions

 Jinwei Tu and Yuan Ding contributed to the study concept and design; Jinwei Tu, Yu Ruan and Zhendan contributed to the acquisition of the data; Jinwei Tu, Yu Ruan and Zhendan He performed the statistical analyses and drafted the manuscript; Jinwei Tu and Yuan Ding critically revised the manuscript and all authors read and approved the final manuscript.

Acknowledgements

The authors thank Juan Tan, Lan Yang, Jue Wang, Dan Zhou, Qian Wang and Li Tan for their help and assistance in the project. In particular, we thank all children and their parents who participated in the study.

Authors' information

1 Department of Health Management, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders

2 Chongqing Key Laboratory of Child Health and Nutrition

3 Chongqing Key Laboratory of Child Infection and Immunity

References

  1. BlackR.E, Victora CG, Walker SP, Bhutta ZA, Christian P, de Onis M, et al. Maternal and child undernutrition and overweight in low-income and middle-income countries. Lancet 2013;382:427-451.
  2. NCD Risk Factor Collaboration (NCD-RisC)*,Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in128.9 million children, adolescents, and adults. Lancet 2017;390:2627–2642.
  3. WHO.GlobalNutrition Policy Review 2016-2017. Available from: https://apps.who.int/iris/bitstream/handle/10665/275990/9789241514873-eng.pdf?ua=1 (accessed on 5 August 2019).
  4. VanderWal JS, Mitchell ER. Psychological complications of pediatric obesity.PediatrClin North Am 2011;58:1393–1401.
  5. Yu ZB, Han SP, Cao XG, Guo XR. Intelligence in relation to obesity: a systematic review and meta-analysis. Obes Rev 2010;11:656–670.
  6. Lee JM, Wasserman R, Kaciroti N, Gebremariam A, Steffes J, Dowshen S, et al. Timing of Puberty in Overweight Versus Obese Boys. Pediatrics 2016;137:1–10.
  7. Khanam R, Nghiem HS, Rahman MM. The impact of childhood malnutrition on schooling: evidence from Bangladesh. J BiosocSci 2011;43:437–451.
  8. Kant AK, Graubard BI. Family income and education were related with 30-year time trends in dietary and meal behaviors of American children and adolescents. J Nutr 2013;143:690–700.
  9. Ministry of Health of China. National Report on Nutritional Status of Children aged 0–6 Year (2012). Beijing: Ministry of Health of China; 2012.
  10. Hardy LL, Mihrshahi S, Gale J, Drayton BA, Bauman A, Mitchell J.30-year trends in overweight, obesity and waist-to-height ratio by socioeconomic status in Australian children, 1985 to 2015.Int J Obes (Lond) 2017;41(1):76-82.
  11. Sahoo K, Sahoo B, Choudhury AK, Sofi NY4, Kumar R, Bhadoria AS. Childhood obesity: causes and consequences. J Family Med Prim Care 2015;4:187-192.
  12. Xinnan Zong,Hui Li,Yaqin Zhang,Huahong Wu.Weight-for- length/height growth curves for children and adolescents in China in comparison with body mass index in prevalence estimates of malnutrition.Ann Hum Biol.2017;44(3):214-222.
  13. World Health Organization. Growth reference 5–19 years [WWW document]. 2007. Available from: http://www.who.int/growthref/who2007_bmi_for_age/en/.
  14. HOMulfieenter Growth Reference Study Group. WHO Child Growth Standards:Length/height-for-age,weight-for-age,weight-for-length,weight-for-height and body mass index-for-age: Methods and development. Geneva:WHO 2006:312.
  15. HuiLi,ChengyeJi,XinnanZong. Body mass index growth carves for Chinese children and adolescents aged 0 to 18 years. Chinese Journal of Pediatrics2009;47: 493-498.
  16. E Borghi, M de Onis, C Garza, J Van den Broeck, E A Frongillo, L Grummer-Strawn,et al. Construction of the World Health Organization child growth standards: selection of methods for attained growth curves. Stat Med 2006;25: 247–265.
  17. E Miqueleiz , L Lostao , P Ortega , J M Santos , P Astasio , E Regidor. Trends in the prevalence of childhood overweight and obesity according to socioeconomic status: Spain,1987–2007.Eur J ClinNutr 2014;68: 209–214.
  18. Lasarte-Velillas JJ, Hernández-Aguilar MT, Martínez-Boyero T, Soria-Cabeza G, Soria-Ruiz D, Bastarós-GarcíaJC,etal. Overweight and obesity prevalence estimates in a population from Zaragoza by using different growth references. AnPediatr (Barc) 2015;82:152-158. 
  19. Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of obesity and trends in body mass index among US children and adolescents, 1999-2010.JAMA 2012;307:483-490.
  20. Mekonen J,Addisu S,Mekonnen H. Prevalence and associated factors of chronic undernutrition among under five children in Adama town, Central Ethiopia: a cross-sectional study design. BMC Res Notes 2019 ;12:532. 
  21. El Taguri A, Betilmal I, Mahmud SM, Monem Ahmed A, Goulet O, Galan P,et al. Risk factors for stunting among under-fives in Libya. Public Health Nutr 2009 ;12:1141-1149.
  22. Zheng Zhu, Yan Tang, Jie Zhuang, Yang Liu, Xueping Wu, Yujun Cai,et al. Physical activity, screenviewing time, and overweight/obesity among Chinese children and adolescents: An update from the 2017physical activity and fitness in China—The youth study. BMC Public Health 2019; 19:197.
  23. Bahk J KhangYH. Trends in Measures of Childhood Obesity in Korea From 1998 to 2012. J Epidemiol 2016;26:199-207.
  24. Mansori K, Khateri S, Moradi Y, Khazaei Z, Mirzaei H, Hanis SM, et al. Prevalence of obesity and overweight in Iranian children aged less than 5 years: a systematic review and meta-analysis. Korean J Pediatr 2019;62:206-212.
  25. Rachmi CN, Agho KE, Li M, Baur LA.Stunting, Underweight and Overweight in Children Aged 2.0-4.9 Years in Indonesia: Prevalence Trends and Associated Risk Factors. PLoS One 2016;11:e0154756.
  26. Yanhui Dong, Catherine Jan, Yinghua Ma, Bin Dong, Zhiyong Zou, Yide Yang, Rongbin Xu,et al. Economic development and the nutritional status of Chinese school-aged children and adolescents from 1995 to 2014:an analysis of five successive national survey. Lancet Diabetes Endocrinol2019; 7:288–299.
  27. Arnold, F.; Liu, Z.X. Sex preference, fertility, and family planning in China. In The Population of Modern China; Springer: Boston, MA, USA, 1986; Volume 1, pp. 221–246.
  28. Ren WW, RammohanA, WuYR. Is there a gender gap in child nutritional outcomes in rural China? China EconRev2014;31:145–155.
  29. Ji CY, Chen TJ, Working Group on Obesity in China (WGOC). Empirical changes in the prevalence of overweight and obesity among Chinese students from 1985 to 2010 and corresponding preventive strategies. Biomed Environ Sci. 2013;26:1–12.
  30. Chen TJ, Modin B, Ji CY, Hjern A. Regional, socioeconomic and urbanrural disparities in child and adolescent obesity in China: a multilevel analysis. Acta Paediatr. 2011;100:1583–9.
  31. Lingling Zhai, Youdan Dong, Yinglong Bai, Wei Wei and Lihong Jia.Trends in obesity,overweight, and malnutrition among children and adolescents in Shenyang, China in 2010 and 2014: a multiple cross-sectional study.BMC Public Health.2017;17(1):151.
  32. Kipping RR, Jago R, LawlorDA. Obesity in children. Part 1: Epidemiology, measurement, risk factors, and screening. BMJ 2008 ;337:a1824.
  33. Yishan Chen,Yiming zhang,Zhenxing Kong,Jingjing Yu,Tingting Sun,Hanyue Zhang.The prevalence of overweight and obesity in children and adolescents in China. Chinese Journal of Disease Control & Prevention.2017,21(9):866-869,878.

Tables

Table 1. Basic information of study population

 

Malnutrition

Normal

Overweight

Obesity

Total

Gender

Boys

817

9364

1215

1464

12860

Girls

511

7326

1002

910

9749

Region

Urban

1274

16043

2147

2286

21750

Rural

54

647

70

88

859

Age(year)

2-6y

572

8451

993

866

10882

7-12y

712

7458

1118

1362

10650

13-18y

44

781

106

146

1077

Table 2. Prevalence of obesity, overweight, and malnutrition in study population

 

Age (Year)

Region

Total

 

2-6

7-12

13-18

Rural

Urban

 

Boys

 

 

 

 

 

 

Obesity

8.6**∆∆

13.6**∆

16.6**

11.0

11.4**

11.4**

Overweight

8.7

10.1

9.9

6.7

9.6&

9.4*

Malnutrition

5.3

7.6**∆

5.3*

6.7

6.3**

6.4**

Girls

 

 

 

 

 

 

Obesity

7.1

11.7

9.1

9.1

9.3

9.3

Overweight

9.6

11.0

9.8

10.3

10.3

10.3

Malnutrition

5.3∆∆

5.5

2.3

5.6

5.2

5.2

vs girls *P<0.05 **P < 0.01; vs rural &P < 0.05 &&P < 0.01; vs 13-18 age group P <0.05 ∆∆P <0.01

Table 3. Multinomial logistic regression model predicting obesity, overweight, and malnutrition

Variables

Obesity

ORa (95%CI)

Overweight

ORa (95%CI)

Malnutrition

ORa (95%CI)

Age group (year)

 

 

 

2-6

0.55 (0.46-0.67)

0.86 (0.70-1.07)

1.21 (0.88-1.67)

7-12

0.98 (0.81-1.18)

1.10 (0.89-1.36)

1.70 (1.25-2.33)

13-18 (reference)

 

 

 

Region

 

 

 

Urban (reference)

 

 

 

Rural

0.91 (0.73-1.15)

0.80 (0.62-1.03)

1.03 (0.78-1.37)

Gender

 

 

 

Boys (reference)

 

 

 

Girls

0.80 (0.73-0.87)

1.06 (0.97-1.15)

0.80 (0.71-0.90)

a Adjustment OR