Literature DB >> 26612264

Psychological and physiological correlates of childhood obesity in Taiwan.

Kuo-Hsuan Chung1,2,3, Hung-Yi Chiou4, Yi-Hua Chen4.   

Abstract

Evidence of associations between psychopathology and obesity in childhood remains inconsistent, and most studies have been conducted in Western countries. This study investigated psychological and physiological correlates of obesity in a community sample of children in Taiwan. In total, 302 children (157 overweight/obese and 145 healthy-weight children) were selected from first- and fourth-grade schoolchildren in eight elementary schools in 2009. These children participated in a comprehensive health examination, including a physical examination, blood sample analysis, and questionnaire administration. We found that regarding physiological characteristics, compared with the healthy-weight children, the overweight/obese children had significantly higher values for body fat estimated using the bioelectrical impedance method (p < 0.001), systolic blood pressure (p < 0.001), and diastolic blood pressure (p = 0.001); lower values for high-density lipoprotein (p < 0.001); and worse values for glutamic-pyruvic transaminase (p < 0.001), triglycerides (p < 0.001), and fasting blood glucose (p = 0.049). In logistic models adjusted for parental and child traits and physiological characteristics, children's overweight/obesity was significantly associated with lower self-concept (odds ratio [OR] = 0.96, 95% confidence interval [CI] = 0.93-0.99) and less disruptive behavior (OR = 0.96, 95% CI = 0.92-0.99). Less disruptive behavior and the lack of a higher prevalence of anxiety and depression in childhood obesity appear to be a unique pattern in Taiwan that warrants further investigation.

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Year:  2015        PMID: 26612264      PMCID: PMC4661724          DOI: 10.1038/srep17439

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Childhood obesity, similar to adulthood obesity, is a major global public health concern because of its wide geographic extent and high prevalence12. Obesity underlies a number of the most common illnesses seen in medical practice currently. Overweight and obese children are at a high risk of physiological abnormalities, including cardiovascular disease, metabolic syndrome3, nonalcoholic fatty liver disease, polycystic ovarian syndrome, and breathing abnormalities during sleep4. In addition to physical diseases, studies have shown that obese children and young people are prone to develop psychosocial distress, including depression, anxiety, and social withdrawal567 and tend to have a poor quality of life18 and behavioral problems91011. However, evidence of associations between psychopathology and obesity in childhood remains inconsistent, and psychological and physiological correlates of childhood obesity remain unclear11, with variations according to gender, age, and contextual factors (such as familial eating, activity and nutritional patterns, and parenting attitudes), as well as race and ethnicity12131415. There is a need of further research on psychological problems in obese children, as these problems may be exacerbated over time. A study showed that childhood obesity can be a precursor of adult depression16. Because obese children are much more likely to become obese adolescents and adults unless they maintain healthier patterns of exercise and eating17, a deeper understanding and early effective intervention should be emphasized in younger children. However, most studies have focused on the psychosocial aspects of childhood obesity in older children or adolescents318. Most research on psychological correlates of childhood obesity has been conducted in Western countries. Although a trend of a Westernized lifestyle has been noted in Asia during the past decades, impacts of cultural differences on psychological heterogeneity among obese young people should not be ignored. Consistent with studies in Western countries, recent studies in Asia have demonstrated that obese children exhibit body dissatisfaction and lower self-esteem; however, no relationship was observed between obesity and higher levels of depressive symptoms in children19. Furthermore, the risk of depressive symptoms has been associated with a subjective sense of negative body image and not with the degree of obesity14. A strong relationship between self-perception and behavior may not be observed in Taiwanese children because of the emphasis on the Confucian ideology of filial piety and obedience that pervades Taiwanese culture, in which children are expected to respect and obey their parents and elders instead of expressing their true selves20. This practice may affect the psychological impact of obesity on children. For example, under the pressure of authoritarian parenting, children may be discouraged to use assertive and externalizing behaviors as coping mechanisms20. Furthermore, little research has been conducted on childhood obesity regarding psychological and physiological correlates. In doing this further research, it would be useful to also include further consideration from both a physiological standpoint (e.g., blood pressure, plasma glucose and triglyceride levels, birthweight) and a psychosocial standpoint (e.g., parental smoking, gender)2122. Therefore, in this study, we investigated the differences in physiological and psychological dimensions among schoolchildren with healthy and overweight or obese weight statuses in metropolitan Taipei, Taiwan. We hypothesize that compared with healthy-weight children, Taiwanese obese children have poor physiological characteristics (e.g., higher values for systolic blood pressure (SBP), triglycerides (TGs), or fasting blood glucose) and greater psychosocial distress (e.g., lower self-concept and more anxiety or depression). Patterns of association among Taiwanese children may differ from those observed among Western children.

Methods

Participants

In early 2009, a baseline screening was conducted for approximately 3,500 first (aged 6–7 years) and fourth (aged 9–10 years) graders from eight urban elementary schools in metropolitan Taipei, Taiwan. These schools were selected on the basis of their willingness to participate in a health promotion program. Preliminary information on birth date, height, weight, and blood pressure were collected. According to the World Health Organization criteria23, children were classified as having a healthy, overweight, or obese weight status depending on their body mass index (BMI) by gender and age. During the baseline screening in the participating schools, all overweight and obese students were invited to take part in a more comprehensive health examination (a physical examination, blood sample analysis, and questionnaire administration) at a hospital. Some healthy-weight students also volunteered for this examination, with a weight status ratio of approximately 1:1. Finally, a total of 302 children (156 overweight or obese children and 145 healthy-weight children) completed the health examination undertaken at Taipei Medical University Hospital.

Measurement of physiological characteristics

At the hospital, the children underwent a physical examination including the measurement of height, weight, and blood pressure. Body height and weight were recorded without shoes to the nearest 0.5 cm and 0.1 kg using a combined wall-mounted stadiometer and metric balance scale (NAGATA K-100/P-100), respectively. BMI was calculated using the formula: body weight (kg) divided by height squared (m2). SBP and diastolic blood pressure (DBP) were measured in duplicate on the right arm by trained personnel using an automated sphygmomanometer (TERUMO ES-P2000) after the children had been seated quietly for 5 min prior to the assessments. Body fat was estimated using the bioelectrical impedance method (Omron Body Fat Analyzer HBF-306). Blood samples were also collected from these children after a 12-h overnight fast for measurements of lipid levels, lipoproteins, serum liver enzymes, and fasting blood glucose.

Measurement of psychological characteristics

The Beck Youth Inventories, second edition (BYI-II)24, was used to assess the children’s reported thoughts, feelings, and behaviors related to emotional and social dysfunction. Each inventory includes 20 questions that measure a child’s experiences in the five psychological domains of self-concept (assessing cognitions of competence, potency, and positive self-worth), anxiety (assessing worries about school performance, the future, negative reactions of others, and fears), depression (assessing negative thoughts about the self, life, and the future and feelings of sadness and guilt), anger (assessing thoughts of being treated unfairly by others and feelings of anger and hatred), and disruptive behavior (assessing thoughts and behaviors associated with conduct disorder and oppositional defiant behavior). Responses were scored using a 4-point Likert scale, with 0 indicating “never” and 3 indicating “always.” Total scores were summed for each inventory. The higher the scores were, the stronger the presentation of a particular psychological domain. In addition, the raw scores were converted (standardized) into T scores (with a mean of 50 and standard deviation of 10) to enable comparing a child’s score with that of other children of the same age. While high internal consistency was indicated as Cronbach’s α coefficients ranged from 0.86 to 0.96 for all age groups on all scales, good test-retest reliability was reported to range from 0.74 to 0.9325. Validity was supported by correlations with other instruments assessing similar characteristics25. Furthermore, both the reliability and validity were established for the Chinese version of the BYI-II26. All Cronbach’s α coefficients were clearly >0.9 for the five inventories. Specifically for first to fourth graders in their norm group, the Cronbach’s α coefficients ranged from 0.92 to 0.94 for the five inventories. Test-retest reliability ranged from 0.64 to 0.81. Criterion-related validity was also supported for all five inventories. Finally, parents filled out a questionnaire investigating risk factors for overweight and obesity in children. Questions included the parental BMI status, educational level, smoking status, and children’s birth history (i.e., maternal age when carrying the child, a low birthweight (birth weight < 2500 g), preterm birth, and cesarean delivery). This study is a part of an integrated project on child obesity, which was approved by the Ethics Committee of Taipei Medical University Hospital. The methods were conducted in accordance with the approved guidelines. Each child’s parents provided written consent before the children were included in the study. The children’s consent for participation was also obtained.

Data analysis

A Pearson’s χ2 test of significance was used to identify differences in the child, maternal, and paternal traits on the basis of the children’s weight status (healthy weight vs. overweight or obese). Psychological and physiological characteristics were separately examined on the basis of the children’s weight status. Specifically, regarding physiological characteristics, age, body fat, SBP, DBP, total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and urea were normally distributed and were analyzed using independent-sample t tests. Other parameters, namely aspartate transaminase (AST), alanine aminotransferase (ALT), TGs, and fasting blood glucose, were not normally distributed and were analyzed using a Mann–Whitney U-test. Finally, multivariable logistic regression analyses were performed to examine the associations between children’s weight status (response variable) and the parental and child characteristics. The selection of potential confounding variables entered into the regression models was based on the combined data of preliminary analysis and results of previous studies (e.g., parental BMI27, maternal smoking28, and preterm birth29). In model fitting, the child’s sociodemographics and parental traits were considered first, and the child’s physiological and psychological characteristics were added separately. All parental and child characteristics were then considered in the final model. The backward stepwise model selection procedure, appropriate for selecting an interpretable model with the most valuable factors30, was used for variable selection. Interaction terms between gender and grade and other physiological and psychological characteristics that did not reach statistical significance were removed from the final analyses. SPSS version 15.0 (SPSS, Chicago, IL, USA) was used for the analysis. All tests of significance were two tailed, with the level of significance set to p < 0.05.

Results

Table 1 shows a comparison of the healthy-weight students with the overweight or obese students in relation to child, maternal, and paternal traits. Ethnicity was not specifically assessed in our study, because the Taiwanese population is homogeneous and mainly dominated by the Han race (more than 90%). We found that compared with the healthy-weight children, the overweight or obese children were more likely to be male (p = 0.04). However, no significant differences were observed in the birth history, including maternal age when carrying the child, a low birthweight, preterm birth, and cesarean delivery, among children with different weight statuses (all p > 0.05). The overweight or obese children were more likely to have mothers who were overweight or obese (p < 0.01) and smoked (p < 0.01) as well as fathers who were overweight or obese (p < 0.01).
Table 1

Comparison of healthy-weight and overweight or obese children in relation to maternal, paternal, and child traits (n = 302).

 Healthy weight (n = 145)Overweight/obesity (n = 157)pvalue
Child traits
 Gender0.004a
  Male68 (46.9%)92 (58.6%) 
  Female77 (53.1%)65 (41.4%) 
 Grade0.66a
  First72 (49.7%)74 (47.1%) 
  Fourth73 (50.3%)83 (52.9%) 
 Age (years)8.8 (1.7)8.9 (1.4)0.63b
Birth history
 Maternal age when carrying the child  0.60a
  <35 years117 (81.8%)127 (84.1%) 
  ≥35 years26 (18.2%)24 (15.9%) 
 Low birthweight  0.82a
  Yes11 (7.9%)13 (8.6%) 
  No129 (92.1%)138 (91.4%) 
 Birthweight (g)3158 (500)3213 (509)0.35b
 Preterm birth  0.21a
  Yes9 (7.4%)16 (12.2%) 
  No112 (92.6%)115 (87.8%) 
 Cesarean delivery  0.19a
  Yes52 (36.1%)67 (43.5%) 
  No92 (63.9%)87 (56.5%) 
Maternal traits
 BMI status   < 0.001a
  Healthy weight111 (78.7%)85 (56.7%) 
  Overweight/obese30 (21.3%)65 (43.3%) 
 Educational level  0.13a
  Lower than high school6 (4.2%)10 (6.6%) 
  High school61 (43.0%)79 (52.0%) 
  College or higher75 (52.8%)63 (41.4%) 
 Smoking status  0.002a
  No138 (97.9%)133 (86.9%) 
  Quit smoking1 (0.7%)3 (2.0%) 
  Current smoker2 (1.4%)17 (11.1%) 
Paternal traits
 BMI status  0.002a
  Healthy weight60 (44.8%)40 (27.2%) 
  Overweight/obese74 (55.2%)107 (72.8%) 
 Educational level  0.06a
  Lower than high school6 (4.3%)17 (11.0%) 
  High school49 (35.3%)59 (38.3%) 
  College or higher84 (60.4%)78 (50.7%) 
 Smoking status  0.66a
  No70 (50.7%)71 (45.5%) 
  Quit smoking12 (8.7%)16 (10.3%) 
  Current smoker56 (40.6%)69 (44.2%) 

Data are n (%), except age and birthweight data that are mean (SD). Note that total counts may vary because

of missing data.

aResults were obtained using a χ2 test.

bResults were obtained using a t test.

Children’s psychological characteristics according to weight status

The overweight or obese children had significantly lower scores for self-concept and disruptive behaviors compared with the healthy-weight children (self-concept: 49.7 ± 7.3 vs. 51.5 ± 7.5; p = 0.03; disruptive behaviors: 45.9 ± 8.6 vs. 48.1 ± 8.4; p = 0.03) (Table 2). No significant difference was observed in the domains of anxiety, depression, and anger between the healthy-weight and overweight or obese children.
Table 2

Psychological and physiological characteristics of children according to weight status (n = 302).

 Healthy weight (n = 145)Overweight/obese (n = 157)p value
Age (years)8.8 (1.7)8.9 (1.4)0.63a
Psychological characteristics
 Self-concept51.5 (7.5)49.7 (7.3)0.03a
 Anxiety46.9 (8.4)47.4 (8.4)0.58a
 Depression45.5 (8.9)45.8 (9.3)0.75a
 Anger47.8 (8.8)46.4 (9.1)0.16a
 Disruptive behavior48.1 (8.4)45.9 (8.7)0.03a
Physiological characteristics
 Body fat18.3 (5.5)33.4 (6.5) < 0.001a
 SBP (mmHg)102.1 (9.7)108.3 (12.9) < 0.001a
 DBP (mmHg)60.2 (7.6)63.7 (10.4)0.001a
 T-Chol (mg/dL)174.4 (29.2)173.3 (31.4)0.74a
 HDL (mg/dL)62.6 (11.3)56.7 (12.2) < 0.001a
 LDL (mg/dL)98.1 (22.8)102.0 (27.6)0.18a
 Urea (mg/dL)12.0 (3.0)12.4 (2.6)0.25a
 AST (IU/L)15–45 (25)14–124 (23)0.12b
 ALT (IU/L)5–95 (13)5–271 (16) < 0.001b
 TGs (mg/dL)25–204 (54)26–356 (70) < 0.001b
 Fasting blood glucose (mg/dL)71–173 (86)69–363 (88)0.05b

Data are mean (SD) or range (median).

SBP, systolic blood pressure; DBP, diastolic blood pressure; T-Chol, total cholesterol; HDL, high-density lipoprotein; LDL, low-density lipoprotein; AST, aspartate transaminase; ALT, alanine aminotransferase; TGs, triglycerides.

aResults were obtained using a t test.

bResults were obtained using a Mann–Whitney U-test.

Children’s physiological characteristics according to weight status

Compared with the healthy-weight children, the overweight or obese children had significantly higher values for body fat (p < 0.001), SBP (p < 0.001), and DBP (p = 0.001) and significantly lower values for HDL (p < 0.001) (Table 2). The overweight or obese children also had worse ALT (p < 0.001), TG (p < 0.001), and fasting blood glucose (p < 0.05) values.

The relationship between child weight status and psychological/physiological characteristics

In logistic models including parental and child traits, children’s overweight/obese status was significantly associated with maternal overweight/obesity (odds ratio [OR] = 2.90) and paternal overweight/obesity (OR = 2.20) (Model I, Table 3). The relationship between children’s weight status and their physiological and psychological characteristics was investigated separately. After adjustment for parental and child traits, childhood overweight and obesity were associated with higher levels of body fat, SBP, and urea (Model II) and with lower self-concept and less disruptive behavior (Model III). When physiological and psychological characteristics were considered simultaneously, childhood overweight and obesity remained associated with lower self-concept (OR = 0.96) and less disruptive behavior (OR = 0.96) in logistic models adjusted for parental and child traits (Model IV).
Table 3

The relationship between child weight status and psychological/physiological characteristics.

VariableModel IaModel IIbModel IIIcModel IVd
Parental and child traits
 Gender
  Female1.001.001.001.00
  Male2.35** (1.29–4.31)1.10 (0.42–2.83)1.44 (0.90–2.30)1.61 (0.89–2.92)
 Grade
  First1.001.001.001.00
  Fourth0.88 (0.49–1.58)0.59 (0.22–1.56)1.19 (0.75–1.91)1.14 (0.63–2.06)
 Preterm birth    
  No1.00   
  Yes2.34 (0.86–6.35)   
 Maternal smoking
  No1.00   
  Yes16.18** (2.01–130.41)   
 Maternal weight
  Healthy1.00  1.0
  Overweight/obese2.90** (1.54–5.45)  3.14*** (1.70–5.79)
 Paternal weight
  Healthy1.00  1.0
  Overweight/obese2.20* (1.16–4.17)  2.44** (1.31–4.55)
 Child physiological characteristics
  Body fat1.60*** (1.42–1.81) 
  Systolic blood pressure1.04* (1.00–1.09) 
  Urea1.21* (1.00–1.45)1.01 (1.00–1.02)
  Low-density lipoprotein0.98 (0.96–1.00)1.02 (0.93–1.13)
 Child psychological characteristics
  Self-concept0.96** (0.93–0.99)0.96* (0.92–0.99)
  Disruptive behavior0.96** (0.94–0.99)0.96* (0.93–0.99)

Data are odds ratio of being overweight or obese and associated 95% confidence intervals.

*p < 0.05; **p < 0.01; ***p < 0.001.

aModel I includes parental and child characteristics, and the backward stepwise model selection procedure was used for variable selection.

bModel II includes parental and child characteristics and child physiological characteristics, and the backward stepwise model selection procedure was used for variable selection.

cModel III includes parental and child characteristics and child psychological characteristics, and the backward stepwise model selection procedure was used for variable selection.

dModel IV includes parental and child characteristics and child physiological and psychological characteristics, and the backward stepwise model selection procedure was used for variable selection.

Discussion

According to a review of relevant literature, this is the first study to investigate multiple psychological aspects, including self-concept, anxiety, depression, anger, and disruptive behavior, and obesity-related physiological correlates in school-age children in Taiwan. The major finding was that compared with a healthy-weight status, an overweight or obese status was associated with lower self-concept and less disruptive behavior in children, even after adjustment for parental and child traits. We found no evidence showing that they had more abnormalities in the psychological domains of anxiety, depression, and anger. The construct of self-concept includes the subdomains of self-competence and self-worth, and self-worth is likely correlated with self-esteem31. Similar to obese Western children, the obese Taiwanese children had lower self-concept, suggesting no racial differences in the association between low self-esteem and obesity. Previous studies have reported modest associations between obesity and global self-esteem in Chinese and other ethnic groups, and body dissatisfaction seems to be associated with lower self-competence13193233. The inclusion of body image, self-competence, self-satisfaction, and attitudes toward others in the scales of self-concept in our measurement26 might partially explain the effect of body dissatisfaction on self-concept. Although the direction of causality between body dissatisfaction and self-esteem remains obscure, obesity may increase the risk of body dissatisfaction, which in turn impairs self-esteem1934. In addition, the stigma attached to being obese may damage the self-concept of obese children owing to prejudices of healthy-weight children1101535, and negative parental opinions36. The relationship between obesity and psychological problems was suggested to emerge after children begin regular schooling, when they are at a higher risk of being exposed to attitudes of children and adults outside their families6. In our community sample in Taiwan, we found that childhood obesity was associated with less disruptive behavior. This seems to be a unique phenomenon that should be further investigated. Studies in Western countries have described an association between obesity and increased likelihood of externalizing behavior in children911; however, the magnitude of this association and the starting age of this connection still remain unclear9. In addition, evidence suggested that the impulsivity associated with disruptive behavior in childhood obesity could be related to dopamine dysfunction, poor inhibitory control, and reward sensitivity11. However, previous studies have indicated that, in Chinese culture, children are more likely to have an increased capacity to use somatization or internalization as a means of coping37. Confucian ideology strongly pervades Taiwanese culture, and its focus on obedience and respect strongly discourages the use of assertive and externalizing behaviors as coping mechanisms20. With the increasing trend of bullying in Taiwan38, obese children may encounter more discrimination owing to social stigmas; therefore, obese ethnic Chinese (i.e., Taiwanese) children may be prone to use somatization rather than present disruptive behaviors. By contrast, a recent study suggested that, in Taiwan, authoritarian parenting styles may affect parental child-feeding practices39. To distract children from their emotional or behavioral problems, Taiwanese parents may use food as a reward or may allow them to engage in sedentary pastimes such as watching television and playing videogames40. Such behavioral management strategies might result in childhood obesity. Therefore, cultural differences may account for the less disruptive behavior in our sample. To verify the association between childhood obesity and disruptive behavior, longitudinal follow-up or additional similar studies should be performed in Chinese and Taiwanese communities. Previous studies reported an association of obesity with anxiety and depression567. In our study, although the sample size may be a reason for finding no association between childhood obesity and depression or anxiety, the finding may partially be explained by cultural factors. Western research has revealed that “weight stigma” can emerge in a subtle or overt form, leading to prejudice, discrimination, victimization, and devalued social identity, which might mediate the relationship between depression and obesity15. Although stigmatization of childhood obesity appears to be a worldwide public health issue, Chinese culture has traditionally regarded plumpness, particularly in children, as relatively acceptable, healthy, or attractive1941. In accordance with our findings, studies from Korea have indicated no relationship between obesity and high levels of depressive symptoms in children1419, suggesting that Asian culture might at least protect children from depression. Regarding biological factors, it was proposed that depression and body fat regulation share genetic factors and have common monoamines and peptides (including serotonin, norepinephrine, dopamine, neuropeptide Y, and corticotropin-releasing hormone)11. However, the exact mechanisms underlying the associations between childhood obesity and mood dysregulation remain to be clarified. As expected and consistent with previous studies3, the overweight or obese children had more physiological abnormalities than did the healthy-weight children, such as abnormal lipids, impaired liver function, and higher blood pressure and fasting blood glucose. Obesity is regarded as a chronic, low-grade systemic inflammatory state1. Inflammatory or immune markers might be used in predicting the severity of obesity-related illness42 if future studies of the pathogenesis or pathophysiology of obesity-related inflammation confirm the association between these biomarkers and childhood obesity. Our study had several limitations. First, the study had a cross-sectional design. Longitudinal follow-up studies are required to clarify causal relationships between childhood obesity and psychological distress. Because our sample was a small subgroup of a much larger population, it is unclear whether the findings can be applied to the general population. Specifically, calculating the sample size in our study would yield statistical powers of 0.65 to 0.95, depending on various physiological and psychological characteristics used among children with healthy and overweight or obese weight statuses. Second, in our study, schools were selected on the basis of their willingness to participate in a health promotion program, and they are located in Taipei City, which is one of the five major cities with high health care accessibility in Taiwan. These schools might consider students’ health issues a higher priority, possibly diminishing the differences between the healthy-weight and overweight or obese children. Ethnicity was not specifically assessed in our study, because the Taiwanese population is homogeneous and mainly dominated by the Han race. In addition, because the students were sampled in an urban area, our sample is a limited representation of the entire Taiwanese population. Third, the rating scale used in this study was self-reported. Measurements of psychological characteristics may be incomplete because of problems with the completeness of reporting and may be subject to socially desirable effects and the participant’s interpretation. In addition, our findings on self-reported psychological characteristics, particularly by first graders, should be interpreted with caution, although researchers have suggested that first graders’ self-report of emotional disturbances, such as anxiety, might have clinical significance on the basis of their findings on the stability, caseness, prevalence, and prognostic value of self-reported measures4344; moreover, the reliability and validity were established for the Chinese version of the BYI-II26. A multi-informant approach may be considered in the future to provide a more accurate description of children’s problems in various contexts, with the simultaneous consideration of difficulties and discordance inherent in various reporters45. Finally, research on childhood obesity and comparison of data among countries may be problematic because of the lack of an internationally accepted measure of obesity3. Therefore, the results should be generalized to other populations with caution.

Conclusions

The key physiological finding of our study is that urban Taiwanese children in the first and fourth grades show signs of weight-related comorbidity even at this young age. Regarding psychological correlates, our findings indicate that childhood obesity is associated with lower self-concept. Less disruptive behavior and the lack of a higher prevalence of anxiety and depression in childhood obesity appear to be a unique pattern, which deserves further consideration. Although emotional and disruptive behaviors might not be a major issue in young overweight and obese children, careful attention should be paid to low self-esteem, consistently observed in our and Western studies, because of its adverse effects on mental health1567891011. With increasing trends of obese children in both Western and Eastern countries, it is critical to recognize unfavorable values of certain physiological and psychological characteristics among overweight and obese students as young as 6–7 years and 9–10 years (first and fourth graders, respectively) to promote the physical and mental well-being of children in the current obesogenic environment.

Additional Information

How to cite this article: Chung, K.-H. et al. Psychological and physiological correlates of childhood obesity in Taiwan. Sci. Rep. 5, 17439; doi: 10.1038/srep17439 (2015).
  37 in total

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Journal:  Int J Obes Relat Metab Disord       Date:  2001-02

5.  The significance of self-reported anxious symptoms in first-grade children.

Authors:  N Ialongo; G Edelsohn; L Werthamer-Larsson; L Crockett; S Kellam
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Authors:  Susan J Paxton; Dianne Neumark-Sztainer; Peter J Hannan; Marla E Eisenberg
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8.  Obesity, inflammation, and asthma severity in childhood: data from the National Health and Nutrition Examination Survey 2001-2004.

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2.  The Beneficial Effects of Moxibustion on Overweight Adolescent Girls.

Authors:  Yuan-Chieh Yeh; Chin-Chang Chen; Ching-Yi Cheng; Hsin-Ning Chang; Tse-Hung Huang
Journal:  Evid Based Complement Alternat Med       Date:  2021-05-10       Impact factor: 2.629

3.  Nutrient Intake and Depression Symptoms in Spanish Children: The ANIVA Study.

Authors:  Nuria Rubio-López; María Morales-Suárez-Varela; Yolanda Pico; Lorenzo Livianos-Aldana; Agustín Llopis-González
Journal:  Int J Environ Res Public Health       Date:  2016-03-22       Impact factor: 3.390

4.  The Methylation Capacity of Arsenic and Insulin Resistance are Associated with Psychological Characteristics in Children and Adolescents.

Authors:  Ying-Chin Lin; Chien-Tien Su; Horng-Sheng Shiue; Wei-Jen Chen; Yi-Hua Chen; Cheuk-Sing Choy; Hung-Yi Chiou; Bor-Cheng Han; Yu-Mei Hsueh
Journal:  Sci Rep       Date:  2017-06-08       Impact factor: 4.379

5.  Investigating the relationship between district-level socioeconomic status and individual obesity in Taiwanese adolescents: A large-scale cross-sectional analysis.

Authors:  Ying-Lien Ni; Jen-Ho Chang; Lung Hung Chen
Journal:  Sci Rep       Date:  2019-02-27       Impact factor: 4.379

6.  Psychological impact of overweight/obesity among pediatric age group before and during COVID-19 lockdown in Saudi Arabia.

Authors:  Maha Walid AlNowaiser; Amal Maher Harakati; Reem Medhat Bakraa; Malak Mohammed Alamoudi; Remaz Zuhair Nour; Reema Sulaiman Alhuthayli; Aisha Yaseen Banjer; Abdulmoein Eid AlAgha
Journal:  Ann Afr Med       Date:  2022 Jan-Mar

Review 7.  The Association between Obesity and Depression among Children and the Role of Family: A Systematic Review.

Authors:  Aikaterini Kanellopoulou; George Antonogeorgos; Konstantinos Douros; Demosthenes B Panagiotakos
Journal:  Children (Basel)       Date:  2022-08-18

8.  School-based intervention that integrates nutrition education and supportive healthy school food environment among Malaysian primary school children: a study protocol.

Authors:  Choon Huey Teo; Yit Siew Chin; Poh Ying Lim; Shahril Azian Haji Masrom; Zalilah Mohd Shariff
Journal:  BMC Public Health       Date:  2019-10-30       Impact factor: 3.295

9.  Impacts of a School-Based Intervention That Incorporates Nutrition Education and a Supportive Healthy School Canteen Environment among Primary School Children in Malaysia.

Authors:  Choon Huey Teo; Yit Siew Chin; Poh Ying Lim; Shahril Azian Haji Masrom; Zalilah Mohd Shariff
Journal:  Nutrients       Date:  2021-05-18       Impact factor: 5.717

  9 in total

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