The Rural-Urban Difference in BMI and Anemia among Children and Adolescents
by
,
Yan Zou
,
Rong-Hua Zhang
,
Shi-Chang Xia
*,
Li-Chun Huang
,
Yue-Qiang Fang
,
Jia Meng
,
Jiang Chen
,
He-Xiang Zhang
,
Biao Zhou
and
Gang-Qiang Ding
Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou 310051, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2016, 13(10), 1020; https://doi.org/10.3390/ijerph13101020
Submission received: 26 August 2016
/
Revised: 27 September 2016
/
Accepted: 9 October 2016
/
Published: 18 October 2016
Abstract
:There is growing concern over the double burden of over- and under-nutrition in individuals, especially in children and adolescents, which could dwarf their growth and development. This study aims to explore the rural-urban difference in BMI and anemia among children and adolescents. A stratified cluster sampling technique was employed. Dietary data were collected through interviews, and anthropometric values were measured. There were 1534 children and adolescents who participated in this study, including 775 male and 759 female participants. The prevalence of obesity among children living in a city, township and rural area was 10.3%, 8.5% and 5.5%, and that among adolescents was 1.4%, 2.9% and 2.8%. The prevalence of anemia among children and living in a city, township and rural area was 4.3%, 2.5% and 4.5%, while that among adolescents was 6.1%, 3.7% and 11.3%, respectively, with significant difference (χ2 = 10.824, p = 0.004). The prevalence of being overweight, obesity and anemia was significant when comparing children with adolescents (χ2 = 37.861, p = 0.000; χ2 = 19.832, p = 0.000; χ2 = 8.611, p = 0.003). Findings of this study indicate the double burden of malnutrition in Zhejiang province, characterized by a high prevalence of being overweight, obesity and anemia among children and a high prevalence of anemia among adolescents living in townships.
1. Introduction
Obesity in adolescents and children has become a global public health problem. The worldwide prevalence of being overweight and obesity for children and adolescents has increased dramatically in these past decades, which led to associated health risks increasing and considerable health care costs increasing [1,2]. In 2004, according to IOTF criteria, it was estimated that 10% of children worldwide aged 5–17 years were overweight and that 2%–3% were obese [3]. In China, Zhang reported that the prevalence of combined overweight and obesity increased from 1.79% and 1.66% in 1985 to 31.12% and 20.11% in 2014 for boys and girls, respectively [4].
Despite the nutrition transition and improved nutritional status, wasting and anemia remain a major public health problem. Children are also the vulnerable group for iron and zinc deficiencies, and their nutritional status is a sensitive indicator of community health and nutrition. In China, more than 15% of the population was anemic in 2002 [5], while iron deficiency is the main cause of anemia in developing countries [6]. As the traditional Chinese diet is low in meat and milk and high in vegetable and other plant foods, the iron bioavailability is low [7].
Whether under-nutrition or over-nutrition is associated with increased risk of anemia remains controversial. For example, obesity may cause anemia in several ways, for example by low-grade inflammation and relative iron deficit [8]; while other literature reported that women with obesity were less likely to be anemic [9]. In addition, Conde reported that no association between anemia and any other child anthropometric indicator was detected [10], and Laillou demonstrated that micronutrient deficiencies are an issue across the weight spectrum among women in Vietnam, with only vitamin A status being better among overweight than underweight women [11].
There is growing concern over the double burden of over- and under-nutrition in individuals, especially in children and adolescents, which could dwarf their growth and development and result in susceptibility to chronic disease and reduced well-being. This paper aims to explore the rural-urban difference in BMI and anemia among children and adolescents and to compare the daily nutrient intake among children and adolescents with overweight, obesity or wasting, as well as to explore if it could be likely related with low or high daily nutrient intake among children and adolescents with or without malnutrition.
2. Materials and Methods
2.1. Participants
This survey is part of the Chinese national nutrition survey during 2010–2012. A stratified cluster sampling technique was employed in the present cross-sectional study. Based on socioeconomic characteristics, 2 cities, 2 townships and 2 residential villages were randomly selected as where the investigation was conducted. In every sampling unit, 450 households were selected by random a sampling method according to the household registration information. Then, every member of the sampled household was interviewed. Figure 1 presents the flow chart of the sampling process. Children (7–12 years old) and adolescents (13–17 years old) were the subjects of this study. The response rate for households was 95%, and the response rate of each family member in the response household was 100%.
A questionnaire was used to obtain general personal information, which covered the information of gender, age, residence and information of dietary intake. Energy and nutrient intake was calculated using three consecutive days of 24-h dietary recall in conjunction with the China Food Composition Table published in 2002 [12]. The questionnaire was administrated face to face by trained staff through door to door interviews. The dietary recall was collected from the parents on behalf of their children, while it was collected from adolescents themselves. The three consecutive days only cover the weekdays (from Wednesday–Friday).
2.2. Measurements and Definition
Height was measured without shoes to the nearest 0.2 cm using a portable SECA stadiometer, and weight was measured without shoes and overcoat to the nearest 0.1 kg on a calibrated beam scale. BMI was calculated by weight (kg)/height (m)2. Overweight and obesity were defined by the BMI cut-off points recommended in 2002 by Group of China Obesity Task Force (Group of China Obesity Task Force 2004). Additionally, wasting of children and adolescents was defined by the BMI cut-off points according to the screening standard for malnutrition (WS/T 456-2014).
Plasma Hb was determined by the cyanmethemoglobin determination method. Anemia was defined by the Hb cut-off points recommended in 2001 by WHO and UNICEF. The cut-off points (g/L) were 115, 120, 120 and 130 (g/L) for children aged 5–11, 12–14, older than 15 years (girls) and older than 15 years (boys).
2.3. Ethics
Research protocols were approved by Zhejiang Provincial Center for Disease Control and Prevention (Ethic approval code: T-043-R-2010). All subjects or their guardian provided written informed consent after the research protocols were carefully explained to them. Thus, informed consents from the parents/guardians of all participants under the age of 16 were also received.
2.4. Statistics
As continuous variables were not normally distributed, they were described as the median, 25th and 75th percentiles. The differences of quantitative data between the two groups were evaluated by the chi square test. The differences of dietary nutrient intake between children and adolescents with or without malnutrition were evaluated by the nonparametric test (Kruskal–Wallis test). Data processing and statistical analyses were performed using SAS9.2 software (SAS Institute, Cary, NC, USA). All tests were two-sided, and the level of significance was set at p < 0.05.
3. Results
There were 1534 children and adolescents who participated in this study, including 775 male and 759 female participants. The percent of participants from a city, township and rural area was 26.7%, 37.0% and 36.4%, respectively.
The prevalence of wasting among children living in a city, township and rural area was 5.2%, 8.6% and 9.7%, respectively, with no significant difference (χ2 = 3.749, p = 0.153), and that among adolescents was 9.5%, 9.1%, 10.9%, respectively, with no significant difference (χ2 = 0.472, p = 0.790). The prevalence of wasting among male children was 9.2%, higher than that of females (6.6%), with no significant difference (χ2 = 1.870, p = 0.171), while that among male adolescents was 13.0%, higher than that of female (6.6%), with a significant difference (χ2 = 7.293, p = 0.007). The prevalence of obesity among children living in a city, township and rural area was 10.3%, 8.5% and 5.5%, respectively, with no significant difference (χ2 = 4.544, p = 0.103), and that among adolescents was 1.4%, 2.9% and 2.8%, respectively, also with no significant difference (χ2 = 1.037, p = 0.595). The prevalence of obesity among male children was 10.7%, higher than that of females (5.2%), with a significant difference (χ2 = 8.519, p = 0.004), but there was no significance among male adolescents (3.3%) and female adolescents (1.6%) (χ2 = 1.819, p = 0.177). The prevalence of anemia among adolescents living in a city, township and rural area was 6.1%, 3.7% and 11.3%, respectively, with a significant difference (χ2 = 10.824, p = 0.004), but there was no significant difference among children living in a city, township and rural area (χ2 = 1.955, p = 0.376). The prevalence of anemia among male adolescents was 4.2%, lower than that of females (10.5%), with a significant difference (χ2 = 9.342, p = 0.002), but the prevalence of anemia among male children (4.0%) and female children (3.6%) was not significant (χ2 = 0.103, p = 0.748) (Table 1).
Figure 2 shows the percentages of population from wasting to obese. The prevalence of overweight, obesity and anemia was significant when comparing children with adolescents (χ2 = 37.861, p = 0.000; χ2 = 19.832, p = 0.000; χ2 = 8.611, p = 0.003), while that of wasting was not significant (χ2 = 1.801, p = 0.180) (Table 2 and Table 3).
The prevalence of anemia among children and adolescents with being overweight, obesity, wasting and a reasonable BMI (the BMI is in the range of critical value for wasting and being overweight) was 1.46%, 4.55%, 7.50% and 5.53%. There was no significant difference on the prevalence of anemia between children and adolescents with different BMI conditions (χ2 = 5.084, p = 0.166) (Table 4).
Daily Nutrient Intake among Children and Adolescents with Wasting, Reasonable BMI, Overweight and Obesity in Zhejiang Province
The median of the daily intake of protein among children and adolescent with wasting, reasonable BMI, overweight and obesity was 39.89 g, 48.31 g, 46.49 g, 29.09 g, respectively, with a significant difference (Z = 8.015, p = 0.046) (Table 5). The median of daily intake of fat from wasting to obese was 50.35 g, 52.59 g, 51 g, 38.52 g, respectively, with a significant difference (Z = 10.211, p = 0.017). In addition, the median of daily intake of riboflavin and phosphorus among children and adolescents from wasting to obese was 0.4 mg and 518.84 mg, 0.51 mg and 690.35 mg, 0.5 mg and 620.37 mg, 0.51 mg and 425.55 mg, respectively, with a significant difference (Z = 8.366, p = 0.039; Z = 7.886, p = 0.048).
4. Discussion
On the basis of this cross-sectional survey, this paper reports on the prevalence of wasting, overweight, obesity and anemia among children and adolescents living in a city, township and rural area and provides evidence linking specific dietary factors related to malnutrition in this population group. Since successful malnutrition prevention strategies should rely on evidence-based public health approaches, the results of this paper could represent suggestions for effective interventions and policies aiming at a target age group and region for curbing the epidemic of malnutrition in youth.
A study carried out in Zhejiang province in 2002 suggested that in urban areas of eastern China, a dual picture is emerging with the problems of excess (overweight and obesity) coexisting with underweight and anemia [13]. This study was carried out during 2010–2012, and suggested that obesity also coexists with wasting and anemia; however, the prevalence rates of obesity, overweight, wasting and anemia were lower than another study carried out in Huai’an and Nanjing [14], but the difference is there were significant differences of anemia prevalence between urban and rural areas other than the previously reported non-significant urban-rural difference. The potential causes of urban-rural differences may be related to the socioeconomic conditions. Children and adolescents living in urban areas often live with better socioeconomic conditions and less physical activity, as well as different dietary patterns, compared with those living in rural areas, which was consistent with our previous reported study among adults [15]. The findings of this study indicate the double burden of malnutrition in Zhejiang province, characterized by a high prevalence of overweight, obesity and anemia among children and a high prevalence of anemia among adolescents living in townships. Olaya reported that younger child and boys were more affected no matter which standard we used [16]. This decline may be due partly to the attenuation of the positive energy, balanced during puberty or a possible positive trend of increased weight across generations due to exposure to environmental factors earlier in life. In agreement with previous studies [17], we observed a greater prevalence of obesity in male children and adolescents than in female children and adolescents. Gender-specific differences may be explained by the greater lean mass associated with a muscular male body build and bone mass. Excess weight-for-height attributable to lean and bone tissue rather than body fat may, in part, account for the observed high prevalence of overweight men according to BMI criteria [18].
Obesity is the consequence of a long-term imbalance between energy intake and energy expenditure. However, with cross-sectional studies, it is not possible to measure such long-term discrepancies in energy balance. In this study, the distribution of the daily intake of proteins and fat was different among children and adolescent with wasting, reasonable BMI, overweight and obesity. The differentials between children and adolescents with or without malnutrition may be explained by differences in dietary patterns and food choices; this is consistent with previous studies that increased inappropriate eating behaviors significantly have effects on body composition [19,20]. In this study, the prevalence of anemia between children and adolescents being overweight, obesity, wasting and a reasonable BMI were similar with no significant difference. The causes of anemia are multi-factorial, and the nutritional factors include inadequate intake of iron-dense foods, consumption of staple foods that are poor iron sources or that contain iron absorption inhibitors [21] and vitamin deficiencies [22]. Sharif reported that ferritin concentrations were similar in both obese and non-obese Children [23]. Additionally, Cepeda-Lopez reported that sharply higher rates of iron deficiency in obese children are predicted by obesity-related inflammation rather than by differences in dietary iron intake [24]. Thus, children and adolescents with obesity were less likely or more likely to be anemic as compared to those without obesity. Key behavioral risk factors in the increase of obesity also include a low consumption of fruits and vegetables; while in this study, there were no significant difference on nutrient intake between children and adolescents, except protein, fat, phosphorus and riboflavin.
This study has several limitations. The present study is a cross-sectional design that disallows a sequence of temporality to be established for malnutrition and dietary patterns. Data on dietary intake were collected by three consecutive days with the 24-h dietary recall method, and recall bias may exist.
5. Conclusions
In conclusion, the prevalence of obesity among children living in a city, township and rural area was 10.3%, 8.5% and 5.5%, and that among adolescents was 1.4%, 2.9% and 2.8%. The prevalence of wasting among children living in a city, township and rural area was 5.2%, 8.6% and 9.7%, and that among adolescents was 9.5%, 9.1%, 10.9%. The prevalence of anemia among children and living in a city, township and rural area was 4.3%, 2.5% and 4.5%, while that among adolescents was 6.1%, 3.7% and 11.3%. Findings of this study indicate the double burden of malnutrition in Zhejiang province, characterized by a high prevalence of overweight, obesity and anemia among children and a high prevalence of anemia among adolescents living in townships.
Acknowledgments
We thank the staff of city level and county level Center for Disease Control and Prevention in Zhejiang province, who participated in the investigation and measurement. We particularly thank all of the participants for their contribution and support.
Author Contributions
Rong-Hua Zhang, Gang-Qiang Ding, Biao Zhou, Shi-Chang Xia and Yan Zou were responsible for the study design. Yan Zou was responsible for data collection and analysis, paper writing and revision. Li-Chun Huang, Yue-Qiang Fang, Jia Meng, Jiang Chen and He-Xiang Zhang took part in the field investigation and data collection. All authors contributed to the discussion and interpretation of the data and to the writing of the manuscript.
Conflicts of Interest
The authors declare no conflict of interest.
Ethical Approval
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed Consent
Informed consent was obtained from all individual participants included in the study.
References
- Weiss, R.; Dziura, J.; Burgert, T.S.; Tamborlane, W.V.; Taksali, S.E.; Yeckel, C.W.; Allen, K.; Lopes, M.; Savoye, M.; Morrison, J.; et al. Obesity and the metabolic syndrome in children and adolescents. N. Engl. J. Med. 2004, 350, 2362–2374. [Google Scholar] [CrossRef] [PubMed]
- Fu, J.F.; Liang, L.; Zou, C.C.; Hong, F.; Wang, C.L.; Wang, X.M.; Zhao, Z.Y. Prevalence of the metabolic syndrome in Zhejiang Chinese obese children and adolescents and the effect of metformin combined with lifestyle intervention. Int. J. Obes. 2007, 31, 15–22. [Google Scholar] [CrossRef] [PubMed]
- Lobstein, T.B.L.; Uauy, R. Obesity in children and young people: A crisis in public health. Obes. Rev. 2004, 5, 4–104. [Google Scholar] [CrossRef] [PubMed]
- Zhang, Y.X. Changes in the nutritional status of children and adolescents in Shandong, China. Public Health Nutr. 2016, 19, 2708–2711. [Google Scholar] [CrossRef] [PubMed]
- Li, L.M.; Rao, K.Q.; Kong, L.Z.; Yao, C.H.; Xiang, H.D.; Zhai, F.Y.; Ma, G.S.; Yang, X.G. Technical working group of China national nutrition and health survey: A description on the Chinese national nutrition and health survey in 2002. Chin. J. Epidemiol. 2005, 26, 474–484. [Google Scholar]
- Zimmermann, M.B.; Hurrell, R.F. Nutritional iron deficiency. Lancet 2007, 370, 511–520. [Google Scholar] [CrossRef]
- Hurrell, R.; Egli, I. Iron bioavailability and dietary reference values. Am. J. Clin. Nutr. 2010, 91, 1461S–1467S. [Google Scholar] [CrossRef] [PubMed]
- Winther, S.A.; Finer, N.; Sharma, A.M.; Torp-Pedersen, C.; Andersson, C. Association of anemia with the risk of cardiovascular adverse events in overweight/obese patients. Int. J. Obes. 2014, 38, 432–437. [Google Scholar] [CrossRef] [PubMed]
- Qin, Y.; Melse-Boonstra, A.; Pan, X.; Yuan, B.; Dai, Y.; Zhao, J.; Zimmermann, M.B.; Kok, F.J.; Zhou, M.; Shi, Z. Anemia in relation to body mass index and waist circumference among Chinese women. Nutr. J. 2013, 12. [Google Scholar] [CrossRef] [PubMed]
- Conde, W.L.; Monteiro, C.A. Nutrition transition and double burden of undernutrition and excess of weight in Brazil. Am. J. Clin. Nutr. 2014, 100, 1617S–1622S. [Google Scholar] [CrossRef] [PubMed]
- Laillou, A.; Yakes, E.; Le, T.H.; Wieringa, F.T.; Le, B.M.; Moench-Pfanner, R.; Berger, J. Intra-individual double burden of overweight and micronutrient deficiencies among Vietnamese women. PLoS ONE 2014, 9, e110499. [Google Scholar] [CrossRef] [PubMed]
- Yang, Y.; Wang, G.; Pan, X. China Food Composition Table 2002, 1st ed.; Beijing Medical University Publishing House: Beijing, China, 2002. [Google Scholar]
- Gao, G.; Zuo, P.; Sun, G.; Kai, H. Study on nutritional status of primary and middle school students in Huai’an and Nanjing. J. Hyg. Res. 2009, 38, 313–316. [Google Scholar]
- Hesketh, T.; Ding, Q.J.; Tomkins, A.M. Disparities in economic development in Eastern China: Impact on nutritional status of adolescents. Public Health Nutr. 2002, 5, 313–318. [Google Scholar] [CrossRef] [PubMed]
- Zou, Y.; Zhang, R.; Zhou, B.; Huang, L.; Chen, J.; Gu, F.; Zhang, H.; Fang, Y.; Ding, G. A comparison study on the prevalence of obesity and its associated factors among city, township and ruralarea adults in China. Br. Med. J. 2015, 5, e008417. [Google Scholar] [CrossRef]
- Olaya, B.; Moneta, M.V.; Pez, O.; Bitfoi, A.; Carta, M.G.; Eke, C.; Goelitz, D.; Keyes, K.M.; Kuijpers, R.; Lesinskiene, S.; et al. Country-level and individual correlates of overweight and obesity among primary school children: A cross-sectional study in seven European countries. BMC Public Health 2015, 15, 475. [Google Scholar] [CrossRef] [PubMed]
- Barbu, C.G.; Teleman, M.D.; Albu, A.I.; Sirbu, A.E.; Martin, S.C.; Bancescu, A.; Fica, S.V. Obesity and eating behaviors in school children and adolescents- data from a cross sectional study from Bucharest, Romania. Biol. Med. Cent. Public Health 2015, 15, 206. [Google Scholar] [CrossRef] [PubMed]
- Steinberger, J.; Jacobs, D.R.; Raatz, S.; Moran, A.; Hong, C.P.; Sinaiko, A.R. Comparison of body fatness measurements by BMI and skinfolds vs dual energy X-ray absorptiometry and their relation to cardiovascular risk factors in adolescents. Int. J. Obes. 2005, 29, 1346–1352. [Google Scholar] [CrossRef] [PubMed]
- Nasreddine, L.; Naja, F.; Akl, C.; Chamieh, M.C.; Karam, S.; Sibai, A.M.; Hwalla, N. Dietary, lifestyle and socio-economic correlates of overweight, obesity and central adiposity in Lebanese children and adolescents. Nutrients 2014, 6, 1038–1052. [Google Scholar] [CrossRef] [PubMed]
- Patrick, K.; Norman, G.J.; Calfas, K.J.; Sallis, J.F.; Zabinski, M.F.; Rupp, J.; Cella, J. Diet, physical activity, and sedentary behaviors as risk factors for overweight in adolescence. Arch. Pediatr. Adolesc. Med. 2004, 158, 385–390. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization. Iron Deficiency Anemia: Assessment, Prevention, and Control, 1st ed.; World Health Organization: Geneva, Switzerland, 2001. [Google Scholar]
- Fishman, S.M.; Christian, P.; West, K.P. The role of vitamins in the prevention and control of anemia. Public Health Nutr. 2000, 3, 125–150. [Google Scholar] [CrossRef] [PubMed]
- Sharif, M.; Madani, M.; Tabatabaie, F. Comparative evaluation of iron deficiency among obese and non-obese children. Iran. J. Ped. Hematol. Oncol. 2014, 4, 160–166. [Google Scholar] [PubMed]
- Cepeda-Lopez, A.C.; Osendarp, S.J.; Melse-Boonstra, A.; Aeberli, I.; Gonzalez-Salazar, F.; Feskens, E.; Villalpando, S.; Zimmermann, M.B. Sharply higher rates of iron deficiency in obese Mexican women and children are predicted by obesity-related inflammation rather than by differences in dietary iron intake. Am. J. Clin. Nutr. 2011, 93, 975–983. [Google Scholar] [CrossRef] [PubMed]
Figure 1.
Flow chart of the sampling process.
Figure 2.
The percentages of population from wasting to obese.
Table 1.
The percentages of wasting, obesity and anemia among children and adolescents living in city, township and residential village.
| Nutritional Status | Population | City | Township | Residential Village | χ2 | p |
|---|---|---|---|---|---|---|
| Wasting | Children | 5.2% | 8.6% | 9.7% | 3.749 | 0.153 |
| Adolescents | 9.5% | 9.1% | 10.9% | 0.472 | 0.790 | |
| Obesity | Children | 10.3% | 8.5% | 5.5% | 4.544 | 0.103 |
| Adolescents | 1.4% | 2.9% | 2.8% | 1.037 | 0.595 | |
| Anemia | Children | 4.3% | 2.5% | 4.5% | 1.955 | 0.376 |
| Adolescents | 6.1% | 3.7% | 11.3% | 10.824 | 0.024 |
Table 2.
The distribution of wasting, overweight and obesity in Zhejiang province stratified by age and gender.
| Age (Years) | Male | Female | Total | ||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Wasting | Overweight | Obesity | Wasting | Overweight | Obesity | Wasting | Overweight | Obesity | |||||||||||||
| N | Percentage | N | Percentage | N | Percentage | Total | N | Percentage | N | Percentage | N | Percentage | Total | N | Percentage | N | Percentage | N | Percentage | Total | |
| 7 | 4 | 4.82% | 17 | 20.48% | 9 | 10.84% | 83 | 4 | 4.12% | 16 | 16.49% | 7 | 7.22% | 97 | 8 | 4.44% | 33 | 18.33% | 16 | 8.89% | 180 |
| 8 | 4 | 5.13% | 26 | 33.33% | 16 | 20.51% | 78 | 2 | 2.78% | 17 | 23.61% | 6 | 8.33% | 72 | 6 | 4.00% | 43 | 28.67% | 22 | 14.67% | 150 |
| 9 | 6 | 9.84% | 14 | 22.95% | 8 | 13.11% | 61 | 2 | 2.90% | 12 | 17.39% | 5 | 7.25% | 69 | 8 | 6.15% | 26 | 20.00% | 13 | 10.00% | 130 |
| 10 | 3 | 3.95% | 16 | 21.05% | 7 | 9.21% | 76 | 2 | 2.63% | 8 | 10.53% | 1 | 1.32% | 76 | 5 | 3.29% | 24 | 15.79% | 8 | 5.26% | 152 |
| 11 | 5 | 6.94% | 13 | 18.06% | 2 | 2.78% | 72 | 2 | 2.74% | 7 | 9.59% | 3 | 4.11% | 73 | 7 | 4.83% | 20 | 13.79% | 5 | 3.45% | 145 |
| 12 | 2 | 2.74% | 12 | 16.44% | 6 | 8.22% | 73 | 4 | 5.97% | 8 | 11.94% | 2 | 2.99% | 67 | 6 | 4.29% | 20 | 14.29% | 8 | 5.71% | 140 |
| 13 | 4 | 5.56% | 6 | 8.33% | 2 | 2.78% | 72 | 7 | 12.28% | 3 | 5.26% | 1 | 1.75% | 57 | 11 | 8.53% | 9 | 6.98% | 3 | 2.33% | 129 |
| 14 | 7 | 10.77% | 5 | 7.69% | 1 | 1.54% | 65 | 3 | 4.84% | 0 | 0.00% | 0 | 0.00% | 62 | 10 | 7.87% | 5 | 3.94% | 1 | 0.79% | 127 |
| 15 | 3 | 4.62% | 8 | 12.31% | 2 | 3.08% | 65 | 4 | 5.56% | 7 | 9.72% | 2 | 2.78% | 72 | 7 | 5.11% | 15 | 10.95% | 4 | 2.92% | 137 |
| 16 | 4 | 5.97% | 6 | 8.96% | 3 | 4.48% | 67 | 2 | 2.86% | 3 | 4.29% | 1 | 1.43% | 70 | 6 | 4.38% | 9 | 6.57% | 4 | 2.92% | 137 |
| 17 | 3 | 5.08% | 9 | 15.25% | 3 | 5.08% | 59 | 3 | 6.25% | 4 | 8.33% | 1 | 2.08% | 48 | 6 | 5.61% | 13 | 12.15% | 4 | 3.74% | 107 |
| Total (7–12) | 24 | 5.42% | 98 | 22.12% | 48 | 10.84% | 443 | 16 | 3.52% | 68 | 14.98% | 24 | 5.29% | 454 | 40 | 4.46% | 166 | 18.51% | 72 | 8.03% | 897 |
| Total (13–17) | 21 | 6.40% | 34 | 10.36% | 11 | 3.35% | 328 | 19 | 6.15% | 17 | 5.50% | 5 | 6.15% | 309 | 40 | 6.28% | 51 | 8.00% | 16 | 2.51% | 637 |
Table 3.
The distribution of hemoglobin and anemia in Zhejiang province stratified by age and gender.
| Age (Years) | Male | Female | Total | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Hemoglobin (g/L) | SD | Anemia (N, %) | Hemoglobin (g/L) | SD | Anemia (N, %) | Hemoglobin (g/L) | SD | Anemia (N, %) | Total | ||||
| 7 | 132.33 | 10.06 | 4 | 4.80% | 133.33 | 13.16 | 4 | 4.10% | 132.86 | 11.78 | 8 | 4.40% | 180 |
| 8 | 135.92 | 13.00 | 4 | 5.10% | 134 | 13.02 | 5 | 6.90% | 134.95 | 13.00 | 9 | 6.00% | 150 |
| 9 | 135.97 | 10.33 | 2 | 3.30% | 135.62 | 11.15 | 1 | 1.40% | 135.78 | 10.74 | 3 | 2.30% | 130 |
| 10 | 138.56 | 9.54 | 0 | 0.00% | 138.25 | 10.07 | 1 | 1.30% | 138.32 | 9.79 | 1 | 0.70% | 152 |
| 11 | 136.55 | 11.04 | 2 | 2.80% | 139.6 | 10.11 | 0 | 0.00% | 138.06 | 10.66 | 2 | 1.40% | 145 |
| 12 | 139.81 | 12.14 | 6 | 8.20% | 140.4 | 11.54 | 5 | 7.50% | 138.81 | 11.83 | 11 | 7.90% | 140 |
| 13 | 143.84 | 14.47 | 4 | 5.60% | 137.16 | 10.28 | 3 | 5.30% | 140.91 | 13.18 | 7 | 5.40% | 129 |
| 14 | 143.25 | 16.22 | 5 | 7.70% | 135.43 | 10.96 | 4 | 6.50% | 139.61 | 14.49 | 9 | 7.10% | 127 |
| 15 | 154.56 | 18.45 | 4 | 6.20% | 137.89 | 28.18 | 10 | 13.90% | 145.59 | 25.49 | 14 | 10.22% | 137 |
| 16 | 153.71 | 10.33 | 0 | 0.00% | 135.58 | 14.77 | 10 | 15.20% | 144.06 | 15.72 | 10 | 7.29% | 137 |
| 17 | 151.64 | 14.00 | 1 | 1.70% | 133.37 | 13.85 | 5 | 10.40% | 143.35 | 16.60 | 6 | 5.60% | 107 |
| Total (7–12) | 135.78 | 11.17 | 18 | 3.98% | 136.19 | 11.98 | 16 | 3.55% | 136.00 | 11.59 | 34 | 3.79% | 897 |
| Total (13–17) | 149.18 | 15.59 | 14 | 4.21% | 136.07 | 17.61 | 32 | 10.49% | 142.77 | 17.84 | 46 | 7.22% | 637 |
| Anemia | Overweight | Obesity | Overweight | Obesity | χ2 | p | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| N | Percentage | N | Percentage | N | Percentage | N | Percentage | ||||
| Male | Yes | 2 | 4.44% | 28 | 4.74% | 0 | 0.00% | 2 | 3.39% | 4.091 | 0.252 |
| No | 43 | 95.56% | 563 | 95.26% | 80 | 100.00% | 57 | 96.61% | |||
| Female | Yes | 2 | 6.90% | 4 | 11.43% | 40 | 6.27% | 2 | 3.51% | 2.321 | 0.508 |
| No | 27 | 93.10% | 31 | 88.57% | 598 | 93.73% | 55 | 96.49% | |||
| Total | Yes | 6 | 7.50% | 68 | 5.53% | 2 | 1.46% | 4 | 4.55% | 5.084 | 0.166 |
| No | 74 | 92.50% | 1161 | 94.47% | 135 | 98.54% | 84 | 95.45% | |||
note: Chi-square tests.
Table 5.
Daily nutrient intake among children and adolescents with wasting, reasonable BMI, overweight and obesity in Zhejiang province.
| Nutrients/Day | Wasting (N = 80) | Reasonable BMI (N = 1149) | Overweight (N = 217) | Obesity (N = 88) | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Median | 25% | 75% | Median | 25% | 75% | Median | 25% | 75% | Median | 25% | 75% | H | p | |
| Energy (kcal) | 1307.83 | 1059.37 | 1408.04 | 1415.83 | 1144.24 | 1758.06 | 1415.3 | 1272.91 | 1758.06 | 848.86 | 396.47 | 1301.24 | 6.534 | 0.088 |
| Protein (g) | 39.89 | 28.21 | 46.21 | 48.31 | 35.47 | 62.31 | 46.49 | 40.4 | 49.29 | 29.09 | 11.03 | 47.15 | 8.015 | 0.046 |
| Fat (g) | 50.35 | 22.95 | 58.04 | 52.59 | 33.26 | 80.87 | 51 | 43.29 | 67.93 | 38.52 | 11.1 | 65.93 | 10.211 | 0.017 |
| Carbohydrate (g) | 160.89 | 134.47 | 198.62 | 182.42 | 149.09 | 234.11 | 179.07 | 155.69 | 234.53 | 93.43 | 53.79 | 133.06 | 1.241 | 0.743 |
| Cholesterol (mg) | 99.96 | 44.22 | 365.79 | 140.55 | 89.51 | 330.56 | 164.47 | 121.92 | 300.86 | 169.6 | 72.84 | 266.36 | 4.025 | 0.259 |
| Dietary fiber (g) | 4.76 | 4.4 | 6.28 | 5.46 | 3.91 | 9.97 | 10.05 | 8.02 | 11.74 | 2.48 | 1.54 | 3.42 | 6.574 | 0.087 |
| Vitamin A (μg RE) | 174.17 | 103.12 | 294.43 | 226.8 | 108.45 | 326.96 | 231.44 | 143.05 | 308.16 | 512.94 | 60.36 | 965.53 | 1.744 | 0.627 |
| Retinol (μg RE) | 34.89 | 20.04 | 139.91 | 50.25 | 23.75 | 108.6 | 59.36 | 33.14 | 181.36 | 457.56 | 25.11 | 890.01 | 5.907 | 0.116 |
| Thiamin (mg) | 0.46 | 0.34 | 0.53 | 0.58 | 0.43 | 0.73 | 0.53 | 0.45 | 0.55 | 0.37 | 0.16 | 0.58 | 5.859 | 0.119 |
| Riboflavin (mg) | 0.4 | 0.32 | 0.53 | 0.51 | 0.32 | 0.66 | 0.5 | 0.44 | 0.55 | 0.51 | 0.12 | 0.9 | 8.366 | 0.039 |
| Niacin (mg NE) | 9.39 | 7.43 | 11.67 | 9.53 | 7.91 | 13.51 | 9.08 | 8.23 | 10.67 | 9.11 | 3.15 | 15.07 | 3.861 | 0.277 |
| Vitamin C (mg) | 28.33 | 21.65 | 49.11 | 27.88 | 17.43 | 46.45 | 29.1 | 22.61 | 31.06 | 14.24 | 9.7 | 18.78 | 4.446 | 0.217 |
| Vitamin E (mg) | 8.55 | 7.85 | 19.38 | 15.37 | 9.42 | 23.56 | 16.39 | 12.44 | 18.19 | 6.31 | 2.5 | 10.11 | 6.435 | 0.092 |
| Ca (mg) | 218.89 | 156.18 | 288.5 | 240.45 | 148.53 | 346.04 | 214.69 | 170.31 | 242.63 | 101.69 | 58.63 | 144.75 | 3.559 | 0.313 |
| P (mg) | 518.84 | 388.44 | 639.16 | 690.35 | 466.93 | 874.84 | 620.37 | 572.42 | 626.39 | 425.55 | 154.27 | 696.83 | 7.886 | 0.048 |
| K (mg) | 814.06 | 642.08 | 1145.42 | 1135.84 | 678.08 | 1622.07 | 1221.53 | 1052.81 | 1363.47 | 619.26 | 289.41 | 949.11 | 3.58 | 0.311 |
| Na (mg) | 2623.96 | 1236.4 | 4179.63 | 3360.17 | 1972.54 | 4599.96 | 2990.45 | 2398 | 4960.4 | 2259.08 | 731.73 | 3786.43 | 1.84 | 0.606 |
| Mg (mg) | 156.16 | 125.04 | 175.45 | 179.94 | 134.16 | 240.09 | 163.08 | 143.08 | 208.88 | 100.48 | 47.51 | 153.45 | 2.941 | 0.401 |
| Fe (mg) | 12.95 | 11.49 | 14.9 | 13.72 | 10.81 | 17.3 | 13.08 | 11.07 | 14.68 | 12.13 | 3.3 | 20.97 | 2.297 | 0.513 |
| Zn (mg) | 6.73 | 5.08 | 7.6 | 7.89 | 6.18 | 9 | 7.24 | 6.1 | 7.75 | 4.62 | 1.68 | 7.55 | 3.97 | 0.265 |
| Se (μg) | 18.04 | 13.55 | 28.42 | 21.98 | 17.77 | 41.78 | 23.99 | 19.56 | 30.31 | 29.61 | 9.56 | 49.66 | 7.645 | 0.054 |
| Cu (mg) | 1.04 | 1 | 1.35 | 1.32 | 0.98 | 1.77 | 1.55 | 1.31 | 3.04 | 0.6 | 0.28 | 0.91 | 4.545 | 0.208 |
| Mn (mg) | 3.3 | 2.46 | 3.68 | 3.89 | 3.39 | 4.53 | 3.54 | 2.73 | 4.35 | 2.48 | 0.88 | 4.07 | 3.662 | 0.3 |
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Zou, Y.; Zhang, R.-H.; Xia, S.-C.; Huang, L.-C.; Fang, Y.-Q.; Meng, J.; Chen, J.; Zhang, H.-X.; Zhou, B.; Ding, G.-Q. The Rural-Urban Difference in BMI and Anemia among Children and Adolescents. Int. J. Environ. Res. Public Health 2016, 13, 1020. https://doi.org/10.3390/ijerph13101020
AMA Style
Zou Y, Zhang R-H, Xia S-C, Huang L-C, Fang Y-Q, Meng J, Chen J, Zhang H-X, Zhou B, Ding G-Q. The Rural-Urban Difference in BMI and Anemia among Children and Adolescents. International Journal of Environmental Research and Public Health. 2016; 13(10):1020. https://doi.org/10.3390/ijerph13101020
Chicago/Turabian StyleZou, Yan, Rong-Hua Zhang, Shi-Chang Xia, Li-Chun Huang, Yue-Qiang Fang, Jia Meng, Jiang Chen, He-Xiang Zhang, Biao Zhou, and Gang-Qiang Ding. 2016. "The Rural-Urban Difference in BMI and Anemia among Children and Adolescents" International Journal of Environmental Research and Public Health 13, no. 10: 1020. https://doi.org/10.3390/ijerph13101020
APA StyleZou, Y., Zhang, R. -H., Xia, S. -C., Huang, L. -C., Fang, Y. -Q., Meng, J., Chen, J., Zhang, H. -X., Zhou, B., & Ding, G. -Q. (2016). The Rural-Urban Difference in BMI and Anemia among Children and Adolescents. International Journal of Environmental Research and Public Health, 13(10), 1020. https://doi.org/10.3390/ijerph13101020
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