Abstract
Objective
This study aimed to analyse the psychological conditions and behaviour of a group of Chinese children and adolescents with obesity, and to develop an intervention for these young patients.
Methods
A group of 72 patients aged from 4 to 15 years were recruited from an obesity clinic. Patients, or the parents of children younger than 12 years, filled out a series of self-report questionnaires, and the responses were recorded and analysed.
Results
The 72 children and adolescents with obesity had a mean age of 9.14 ± 2.18 years. The body mass index-z scores of children with obesity showed a significant positive correlation with the level of impulsive behaviour, motivational impulses, and cognitive instability (inattention). Children with obesity quickly responded with extreme emotions, and these responses were positively correlated with the degree of obesity (slight, intermediate, or severe obesity).
Conclusion
Children and adolescents being treated for obesity have many underlying psychological problems, including emotional instability and impulsivity, and are prone to extreme emotional-psychological problems. These difficulties are positively correlated with the degree of obesity. Therefore, clinical treatment of these problems requires not only use of medication, improved nutrition, and healthy exercise, but also addressing underlying psychologic problems.
Keywords: Body mass index, children, obesity, psychology, body composition, impulsive behaviour
Introduction
Over the past 30 years, obesity has become a worldwide epidemic. In China, rapid socioeconomic development, and high-calorie and high-fat foods have become increasingly popular in children’s diet. These factors have become a major source of obesity in children. As a result, the prevalence of overweight and obesity among children and adolescents in China has rapidly increased. In 2010, 8.1% of Chinese children and adolescents (aged 7–18 years) were obese and 11.1% were overweight.1
Childhood obesity is also a public health problem worldwide.2,3 In 2010, the World Health Organization (WHO) estimated that 43 million preschool-aged children (35 million in the developing world) were overweight or obese, and the worldwide prevalence has risen from 4.2% in 1990 to 6.7% in 2010.4 Studies have also revealed that obesity in children and adolescents may persist into adulthood, and it is closely related to morbidity and mortality of some chronic diseases in adulthood.5 This increases the prevalence of obese-related diseases, such as type 2 diabetes mellitus or heart disease, which in turn increases healthcare costs.6
However, while such physical conditions have been extensively studied, the mental wellbeing and psychiatric health of children and adolescents suffering from obesity have not been well studied. The results of clinical psychological studies have indicated that children and adolescents with obesity also often have psychological issues, such as impaired self-awareness, low self-esteem,7 low levels of happiness and satisfaction, inferiority, anxiety,8 and depression.9 Additionally, these young patients often present with behavioural problems, such as little ability to live independently, poor labour skills, limited exercise capacity, and poor body balance and autonomic function, along with a lack of social adaptability.10–15
We performed an observational study of 72 children and adolescents who visited our hospital’s Obesity Specialist Clinic. All of the participants had their body composition analysed and took psychological tests regarding psychological and behavioural characteristics. This study aimed to identify correlations between the degree of obesity and the occurrence of psychological problems. This study could help identify potential young patients with obesity who are inclined to develop psychological problems (e.g., inferiority complex).
Subjects and methods
Subjects
A total of 72 children aged 4 to 15 years who visited the Obesity Specialist Clinic at the Affiliated Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiaotong University, were recruited for the study between July 2013 and February 2014. All of the participants were required to meet the following inclusion criteria: aged 3 to 16 years and able to understand the questionnaire survey. Exclusion criteria included obesity of other causes. The questionnaire was filled out by patients aged 12 years or older or by the parents of patients younger than 12 years. This research was approved by the Shanghai Children’s Medical Center (Protocol #SCMCIRB-201131) and conducted according to the principles expressed in the Declaration of Helsinki. Written informed consent was obtained from legal guardians, and assent was obtained from patients older than 12 years old.
Body composition
The subjects’ body composition was measured with the Body Composition Analyzer Inbody 720 (InBody Co, Ltd., Seoul, Korea). Height was measured with the subjects in their bare feet (accuracy: 0.1 cm). Before measurement, the subjects were asked to avoid exercise and other activities, and had fasted for 2 h. Minimal clothing was worn, and defecation and urination were required before measurement. Metal accessories were not allowed. The subjects were advised to stand as still as possible during measurement. Body composition was measured with segmental multi-frequency bioelectrical impedance analysis using eight electrodes connected to the subjects’ arms and legs. The body composition measurement session lasted 90 seconds. We could acquire body water, muscle, fat content, basal metabolism, the waist-to-hip ratio (WHR), and the degree of obesity via body composition measurement. Additionally, the WHR is an indicator of centripetal obesity. The WHO recommends to define males whose WHR is greater than 0.90 and females whose WHR is greater than 0.85 as centripetal obesity. The Chinese domestic standard of centripetal obesity is males whose WHR is greater than 0.90 and females whose WHR is greater than 0.80.16
Questionnaire survey
Children 12 years and older filled out a questionnaire survey. Parents completed the survey for children younger than 12 years old. Medical and behavioural characteristics were evaluated mainly with the Self-Control Scale (SCS),17 the Behavioural Inhibition/Behavioural Activation Scales (BIS/BAS),18 the Positive and Negative Affect Scale (PANAS),19 and the Barratt Impulsiveness Scale (BIS).20
SCS
The SCS describes the ability to override or change one’s inner responses, interrupt undesired behavioural tendencies, and refrain from acting on them. This scale contains 36 items and is rated on a 5-point scale (1 = not at all; 5 = very much). The SCS has five dimensions of general capacity for self-discipline, deliberate/nonimpulsive action, healthy habits, work ethics, and reliability.
BIS/BAS
The BIS is a measure of regulating aversive motives, in which the goal is to move away from something unpleasant. The BAS is a measure of regulating appetitive motives, in which the goal is to move toward something desired.
Each item of this questionnaire is a statement that a person may either agree with or disagree with. For each item, the person indicates how much he/she agrees or disagrees with what the item says. Only one response to each statement should be chosen. Items are scored on a 4-point scale: 1 = very true for me, 2 = somewhat true for me, 3 = somewhat false for me, and 4 = very false for me. Items other than 2 and 22 are reverse-scored.
PANAS
The 20-item PANAS was developed with a sample of undergraduate students and validated with adult populations. The PANAS comprises two mood scales, with one measuring positive affect and the other measuring negative affect. Each item is rated on a 5-point scale ranging from 1 = very slightly or not at all to 5 = extremely to indicate the extent to which the respondent has felt this way in the indicated time frame. The authors have used this scale to measure affect at this moment, today, the past few days, the past week, the past few weeks, the past year, and generally (on average).
BIS
The BIS-11 is a questionnaire designed to assess the personality/behavioural construct of impulsiveness. This scale is the most widely cited instrument for assessment of impulsiveness. The BIS has been used to advance our understanding of this construct and its relationship with other clinical phenomena for 50 years. The current version of the BIS-11 is composed of 30 items describing common impulsive or non-impulsive (for reverse-scored items) behaviours and preferences. Items are scored on a 4-point scale as follows: rarely/never = 1, occasionally = 2, often = 3, almost always/always = 4.
Criteria
Criteria for body mass index
Body mass index (BMI) criteria were established as follows. The z-score of BMI distribution was calculated using the WHO’s Anthro version 3.2.2 software (WHO Anthro, Geneva, Switzerland) for children younger than 5 years old, or with WHO AnthroPlus version 1.0.4 software for children aged 6 years or older. Overweight was defined once the BMI-z score was > 1.0, and obesity was defined once the BMI-z score was > 2.0.21
Body weight
Based on height and body weight adjusted for age, the following categories were established: (1) weight that was 20% higher than standard body weight was defined as overweight; (2) weight that was 20%–30% above standard body weight was defined as mild obesity; (3) weight that was 30%–50% above standard body weight was defined as intermediate obesity; and (4) weight that was 50% above standard body weight was defined as severe obesity.22
Statistical analysis
Statistical analysis was performed with SPSS for Windows version 17.0 (IBM Corp, Armonk, NY, USA). Quantitative data are expressed as mean ± standard deviation (SD). Quantitative data with normal distribution were compared with the independent samples t-test and those with abnormal distribution were compared with non-parametric tests between two groups. Spearman’s correlation comparison was used to compare the correlation between two variables. A value of P < 0.05 was considered statistically significant.
Results
General characteristics
The 72 subjects included 55 boys and 17 girls. The mean age was 9.14 ± 2.18 years (range: 4–15 years) (Table 1). Centripetal obesity was found in 56 children (77.8%; 39 boys and 17 girls). Of the 72 children, overweight was observed in six children, mild obesity in five, intermediate obesity in 10, and severe obesity in 51 according to Chinese body mass standards. A total of 18 children were overweight and 54 were obese according to WHO suggestions.
Table 1.
General characteristics of the children with obesity.
| Characteristics | Mean ± SD or n | Characteristics | Mean ± SD or n |
|---|---|---|---|
| Mean age (y) | 9.14 ± 2.18 | Age range (y) | 4–16 |
| Sex(boy/girl) | 55/17 | Height (cm) | 144.30 ± 16.77 |
| Body weight(kg) | 54.38 ± 19.01 | BMI | 25.37 ± 5.20 |
| Skeletal muscle content (kg) | 18.71 ± 7.68 | BMI-z | 2.65 ± 1.19 |
| Waist-to-hip ratio | 0.90 ± 0.07 | ||
| Fat content (kg) | 20.27 ± 9.72 | Mean body fat (%) | 35.97 |
| Mean obesity, degree (%) | 136.31 | Basal metabolism (kcal) | 1092.03 ± 273.69 |
BMI: body mass index.
BMI-z score and psychological characteristics
Among the 72 children and adolescents, the mean BMI-z score was 2.65 ± 1.19. The BMI-z score was positively correlated with the BIS score and BIS/BAS score (P < 0.05) (Table 2).
Table 2.
Relationship of the BMI-z score with psychological characteristics in the subjects.
| Questionnaire | BIS | SCS | BIS/BAS | PANAS |
|---|---|---|---|---|
| Pearson’s correlation coefficient | 0.247 | 0.170 | 0.235 | −0.037 |
| P value | 0.037* | 0.153 | 0.047* | 0.762 |
P < 0.05.
The BMI-z score was positively correlated with cognitive instability, motivational impulsivity, and stability scores of the BIS (P < 0.05). The stability of motivational impulsivity increased with an increase in severity of obesity (P < 0.05) (Table 3). The BMI-z score showed no relationship with the second order factors of the BIS/BAS (Table 3).
Table 3.
Correlation of the BMI-z score with the BIS and BIS/BAS scores.
| BMI-z score |
BMI-z score |
||||
|---|---|---|---|---|---|
| Pearson’s correlation coefficient | P value | Pearson’s correlation coefficient | P value | ||
| BIS | BIS/BAS score | ||||
| Attention impulse | 0.160 | 0.179 | BAS Drive | 0.060 | 0.616 |
| Attention | − 0.019 | 0.873 | BAS Fun Seeking | 0.199 | 0.094 |
| Cognitive instability | 0.308 | 0.009** | BAS Reward Responsiveness | 0.222 | 0.061 |
| Motivational impulsivity | 0.240 | 0.042* | BIS | 0.157 | 0.188 |
| Motivation | 0.117 | 0.328 | |||
| Stability | 0.273 | 0.020* | |||
| Unplanned impulse | 0.116 | 0.331 | |||
| Self-control | 0.073 | 0.540 | |||
| Cognitive complexity | 0.100 | 0.402 | |||
BMI: body mass index; BIS: Barratt Impulsiveness Scale; BIS/BAS: Behavioural Inhibition/Behavioural Activation Scales. * P < 0.05; ** P < 0.01.
Degree of obesity and psychological characteristics
According to age-standardized height and body weight, the children and adolescents were divided into four groups: overweight, mild obesity, intermediate obesity, and severe obesity groups. The subjects’ psychological characteristics were then compared among the groups. Pairwise comparison using the independent t-test was performed for the psychological scale score between two different groups. The psychological characteristics were not significantly different among the four groups, except for a significant difference in the PANAS score between those in the mild obesity group and those in the intermediate obesity group (P = 0.026) (Table 4).
Table 4.
Correlations between the degree of obesity and BIS score, self-control score, activation of behavioural inhibition, and PANAS score.
| Mild obesity |
Intermediate obesity |
Severe obesity |
||||
|---|---|---|---|---|---|---|
| Mean | P value | Mean | P value | Mean | P value | |
| BIS score | ||||||
| Overweight | −3.433 | 0.478 | −3.133 | 0.448 | −3.422 | 0.322 |
| Mild obesity | – | – | 0.300 | 0.945 | 0.012 | 0.997 |
| Intermediate obesity | – | – | – | – | −0.288 | 0.917 |
| Self-control score | ||||||
| Overweight | 1.667 | 0.670 | −0.133 | 0.968 | 1.176 | 0.673 |
| Mild obesity | – | – | −1.800 | 0.611 | −0.490 | 0.871 |
| Intermediate obesity | – | – | – | – | 1.310 | 0.558 |
| Activation of behavioural inhibition | ||||||
| Overweight | −2.833 | 0.532 | −4.033 | 0.298 | −4.147 | 0.202 |
| Mild obesity | − | – | −1.200 | 0.770 | −1.314 | 0.708 |
| Intermediate obesity | – | – | – | – | −0.114 | 0.965 |
| PANAS score | ||||||
| Overweight | 9.900 | 0.075 | −1.400 | 0.765 | 4.357 | 0.269 |
| Mild obesity | – | – | −11.3000 | 0.026* | −5.543 | 0.196 |
| Intermediate obesity | – | – | – | – | 5.757 | 0.071 |
Note: The P values were obtained by independent t-tests. BIS: Barratt Impulsiveness Scale; PANAS: Positive and Negative Affect Scale; –: missing data. *P < 0.05.
Discussion
This study aimed to analyse the association between obesity and psychological behaviour by measuring body composition, calculating the degree of obesity, and investigating psychological behavioural problems through questionnaires. Our study enrolled 72 children who visited an obesity outpatient clinic, among whom the ratio of boys to girls was 55/17, which is consistent with the current condition of Chinese children with obesity. The incidence of obesity in children is increasing yearly. The prevalence of obesity in boys was higher than that in girls. This finding is consistent with a report on the prevalence of overweight and obesity in boys (23.4%) and girls (14.5%) aged 7–18 years in 2010.1 By measuring body composition in every child, we found that 77.8% of them had centripetal obesity. Previous studies have shown that centripetal obesity in children and adolescents is associated with hyperinsulinaemia, hyperleptinaemia, and insulin resistance.23 Body composition measurements can provide information on fat, muscle content, and basal metabolic rate, which can be used for weight loss programs and follow-ups.
Furthermore, we obtained SCS, BIS, BIS/BAS, and PANAS questionnaire results and compared them with the BMI-z score in children with obesity. Most previous studies14,24 compared children with obesity with healthy children and found that children with obesity had more serious psychological problems than healthy children. In recent years, children and teens with obesity have been found to have psychological complications. The most frequent complications include body dissatisfaction, depression, anxiety, uncontrolled eating, unhealthy and extreme weight control behaviours, and a sense of shame and/or inferiority.9–14 Results from several studies have shown that people with obesity are often severely stigmatized25 and are frequently stereotyped as ugly, stupid, mean, and lazy.26 One study showed that when children were presented with pictures of children with a range of physical characteristics, including disabilities, the picture representing the obese child was one of the least liked and least likely to be considered a potential playmate by the children in the study.27 If obesity is not addressed, the growth and development of these young people will be impaired, and physical and psychological diseases will result. Without intervention, these young patients may develop adverse emotions, such as anxiety, fear, and worry, and may retreat, and develop depression and apathy. Additionally, a sense of remorse and self-condemnation over time will lead to psychopathology.
Other studies exploring associations between obesity and psychosocial concerns among youth have found mixed results. In a study of 30,000 adolescents, Neumark-Sztainer et al.28 found strong positive associations between obesity and weight-specific concerns and behaviours (e.g., body dissatisfaction and unhealthy weight control behaviours). However, associations of obesity with global psychological concerns, such as emotional wellbeing, suicidal ideation, peer concerns, and future job concerns, were minimal.
In this study, we chose children with obesity as the research subjects, and we assessed the degree of obesity and psychological scaling using correlation analysis. We found that the BMI-z score was positively correlated with the BIS score. This finding suggested that the severity of obesity was positively associated with behavioural and psychological impulses. The BMI-z score was also positively associated with the BIS/BAS score. This finding indicated that children with obesity are susceptible to extreme emotions, such as anxiety, fear, excitation, and happiness, which are positively correlated with the severity of obesity.
We also evaluated the correlation of obesity with impulse and emotion. The BMI-z score was positively correlated with cognitive instability, motivational impulsivity, and stability scores of the BIS. This finding indicated that the degree of obesity was positively associated with attention instability and inattention and positively correlated with motivational impulsivity. Motivational impulsivity is the internal mental process or internal power that activates and maintains individual activities in the guidance of a specific goal. The stability of motivational impulsivity increased with an increase in severity of obesity.
The study has some limitations. Although the demographics of affected children and the medical history of their parents were collected in this study, the sample size was small, and subgroup analysis was not performed.
Notably, some parents and society still fail to recognize the importance of psychological problems in children. Clinicians should pay more attention to psychological counselling in these children during clinical guidance on body weight loss. Therefore, integrating professionals with a psychological counselling background into a child weight management team is important.
Taken together, our findings and previous studies suggest that obese children and adolescents have some psychological problems, such as impulsivity, inattention, and extreme emotions. These psychological problems are positively correlated with the severity of their obesity. Psychological counselling is necessary for these young patients and for their parents. Clinicians can actively guide and help alter the patients’ incorrect thoughts, reduce the relevant psychological complications, and improve compliance with efforts to control body weight. These steps will help these patients establish a healthy lifestyle. Therefore, integrating psychological consulting into body weight management programs for children and teens, with the cooperation of a multidisciplinary treatment team, is crucial.
Declaration of conflicting interest
The Authors declare that there is no conflict of interest.
Funding
This study was funded by a grant from Shanghai Shenkang Hospital Development Center (No: SHDC12014205).
References
- 1.Hongpeng Sun, Yana Ma, Di Han, et al. Prevalence and Trends in Obesity among China’s Children and Adolescents, 1985–2010. PLoS One 2014; 9(8): e105469–e105469. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.de Onis M, Blössner M, Borghi E, et al. Estimates of global prevalence of childhood underweight in 1990 and 2015. JAMA 2004; 291: 2600–2606. [DOI] [PubMed] [Google Scholar]
- 3.Kipping RR, Jago R, Lawlor DA. Obesity in children. Part 1: epidemiology, measurement, risk factors, and screening. BMJ 2008; 337: a1824–a1824. [DOI] [PubMed] [Google Scholar]
- 4.de Onis M, Blössner M, Borghi E. Global prevalence and trends of overweight and obesity among preschool children. Am J Clin Nutr 2010; 92: 1257–1264. [DOI] [PubMed] [Google Scholar]
- 5.Prentice AM. Obesity and its potential mechanistic basis. Br Med Bull 2001; 60: 51–67. [DOI] [PubMed] [Google Scholar]
- 6.Quek YH, Tam WWS, Zhang MWB, et al. Exploring the association between childhood and adolescent obesity and depression: a meta-analysis. Obes Rev 2017; 18: 742–754. doi: 10.1111/obr.12535. [DOI] [PubMed] [Google Scholar]
- 7.Viner RM, Haines MM, Taylor SJ, et al. Body mass, weight control behaviors, weight perception and emotional well-being in a multiethnic sample of early adolescents. Int J Obes (Lond) 2006; 30: 1514–1521. [DOI] [PubMed] [Google Scholar]
- 8.DeWalt DA, Gross HE, Gipson DS, et al. PROMIS(®) pediatric self report scales distinguish subgroups of children within and across six common pediatric chronic health conditions. Qual Life Res 2015; 24: 2195–2208. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Bjornelv S, Nordahl HM, Holmen TL. Psychological factors and weight problems in adolescents. The role of eating problems, emotional problems, and personality traits: the Young-HUNT study. Soc Psychiatry Psychiatr Epidemiol 2011; 46: 353–362. [DOI] [PubMed] [Google Scholar]
- 10.Friedman MA, Brownell KD. Psychological correlates of obesity: moving to the next research generation. Psychol Bull 1995; 117: 3–20. [DOI] [PubMed] [Google Scholar]
- 11.Hebebrand J, Herpertz-Dahlmann B. Psychological and psychiatric aspects of pediatric obesity. Child Adolesc Psychiatr Clin N Am 2008; 18: 49–65. [DOI] [PubMed] [Google Scholar]
- 12.Puder JJ, Munsch S. Psychological correlates of child obesity. Int J Obes (Lond) 2010; 34(Suppl 1): S37–S43. [DOI] [PubMed] [Google Scholar]
- 13.Puhl RM, Latner JD. Stigma, obesity, and the health of the nation’s children. Psychol Bull 2007; 133: 557–580. [DOI] [PubMed] [Google Scholar]
- 14.Wardle J, Cooke L. The impact of obesity on psychological well-being. Best Pract Res Clin Endocrinol Metab 2005; 19: 421–440. [DOI] [PubMed] [Google Scholar]
- 15.Daniels SR, Jacobson MS, McCrindle BW, et al. American heart association childhood obesity research summit report. Circulation 2009; 119: e489–e517. [DOI] [PubMed] [Google Scholar]
- 16.Yusuf S, Hawken S, Ounpuu S, et al. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet 2004; 364: 937–952. [DOI] [PubMed] [Google Scholar]
- 17.Tangney JP, Baumeister RF, Boone AL. High self-control predicts good adjustment, less pathology, better grades, and interpersonal success. J Pers 2004; 72: 271–324. [DOI] [PubMed] [Google Scholar]
- 18.Carver CS, White TL. Behavioral inhibition, behavioral activation and affective responses to impending reward and punishment: the BIS/BAS scales. J Pers Soc Psycho 1994; 67: 319–333. [Google Scholar]
- 19.Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol 1988; 54: 1063–1070. [DOI] [PubMed] [Google Scholar]
- 20.Stanford MS, Barratt ES. Factor structure of the Barratt impulsiveness scale. J. Clin Psychology 1995; 51: 768–774. [DOI] [PubMed] [Google Scholar]
- 21.Cole TJ, Bellizzi MC, Flegal KM, et al. Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ 2000; 320: 1240–1243. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Li H, Ji CY, Zong XN, et al. Height and weight standardized growth charts for Chinese children and adolescents aged 0 to 18 years. Zhonghua Er Ke Za Zhi 2009; 47: 487–492 [in Chinese, English Abstract]. [PubMed] [Google Scholar]
- 23.Manios Y, Karatzi K, Protogerou AD, et al. Prevalence of childhood hypertension and hypertension phenotypes by weight status and waist circumference: the healthy growth study. Eur J Nutr 2017. DOI 10.1007/s00394-017-1398-y. [DOI] [PubMed] [Google Scholar]
- 24.Franklin J, Denyer G, Steinbeck KS, et al. Obesity and risk of low self-esteem: a statewide survey of Australian children. Pediatrics 2006; 118: 2481–2487. [DOI] [PubMed] [Google Scholar]
- 25.Kaplan SP. Rehabilitation counseling students’ perceptions of obese male and female clients. Rehab Counsel Bull 1984; 27: 172–181. [Google Scholar]
- 26.Jasper CR, Klassen ML. Stereotypical beliefs about appearance: implications for retailing and consumer issues. Percept Mot Skills 1990; 71: 519–528. [DOI] [PubMed] [Google Scholar]
- 27.Richardson SA. Research report. Handicap, appearance and stigma. Soc Sci Med 1971; 5: 621–628. [DOI] [PubMed] [Google Scholar]
- 28.Neumark-Sztainer D, Story M, French SA, et al. Psychosocial concerns and health-compromising behaviors among overweight and nonoverweight adolescents. Obes Res 1997; 5: 237–249. [DOI] [PubMed] [Google Scholar]
