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Self discipline and obesity in Bangkok school children

  • Chutima Sirikulchayanonta1Email author,
  • Wasoontara Ratanopas1,
  • Paradee Temcharoen1 and
  • Suwat Srisorrachatr1
Contributed equally
BMC Public Health201111:158

DOI: 10.1186/1471-2458-11-158

Received: 14 July 2010

Accepted: 10 March 2011

Published: 10 March 2011

Abstract

Background

Childhood obesity has become an important public health problem in Thailand. This study aimed to determine the relationship between self discipline and obesity in Bangkok school children.

Methods

A case control study was conducted. 140 cases (obese children) and 140 controls (normal weight children) were randomly chosen from grades 4-6 students in 4 Bangkok public schools. Questionnaire responses regarding general characteristics and child self-discipline were obtained from children and their parents.

Results

Self discipline in eating habits, money management and time management were reported at significantly lower levels among the obese group (p < 0.05). After controlling all other variables, it was revealed that the ranking of factors associated with obesity by adjusted odds ratio (OR) were low self-discipline in managing expenses (3.1), poor home environment (3.0,), moderate self-discipline in time management (2.9), television viewing time ≥2 hours/day (2.6), an obese father (2.2), and an obese mother (1.9).

Conclusions

It was recommended that parents and teachers participate in child self-discipline guidance, particularly with regard to eating habits, money management and time management in a supportive environment that both facilitates prevention of obesity and simultaneously develops a child's personal control.

Background

Childhood obesity is a global epidemic [1]. The prevalence of obese children aged 6-11 years has more than doubled since the 1960s. Results from the 1999-2002 National Health and Nutrition Examination Survey (NHANES), indicated that 15.3 percent of children aged 6-11 years were overweight [2]. In Thailand, a nutritional survey was conducted in Bangkok primary schools between 1992 and 1994 involving 2,885 student respondents. The results showed that obesity prevalence rates had increased from 25.9% to 31.5% in demonstration schools, 25.7% to 28.1% in private schools, 23.3% to 27.4% in government schools, and 11.2% to 14.6% in Bangkok Metropolitan schools[3]. In summary, childhood obesity had become an important public health problem in Thailand, especially in big cities such as Bangkok.

Other studies [4, 5] showed that childhood obesity also led to the risk of obesity in adulthood. Long-term health consequences of obesity include type 2 diabetes, cardiovascular disease, hypertension, hyperlipidemia, certain forms of cancer, as well as respiratory and skin problems [6, 7]. Obesity in school children was influenced by society, economic conditions, environmental changes, the family's eating habits and child rearing practices[8], leading to unhealthy eating behavior [7] and a sedentary life style characterized by increased television viewing and a lack of physical exercise [9]. It has been reported that poor self-control and low self-discipline are the most important for eating in response to external food stimuli [10, 11] leading to obesity.

"Self-discipline", is the ability of an individual to adhere to actions, thoughts, and behavior that result in personal improvement instead of instant gratification[12]. Our research question was, "Are there any differences in self-discipline among obese children compared to children of normal weight?" This research aimed to determine the relationship between self discipline with regard to eating habits, money management, time management and child obesity. It also aimed to analyze the relationship between child obesity and other related family factors (e.g., socioeconomic status, parental weight status, parental guidance in child self-discipline, home environment, television viewing time).

Methods

A case-control study was conducted in four public schools in Bangkok under the Office of the Basic Education Commission (OBEC), Ministry of Education (MOE), which voluntarily participated in the Bright and Healthy Thai Kid (BAHT) Project from May 2004 to January 2005. These schools were randomly selected from 38 schools of OBEC based on OBEC's zoning system. Two schools were selected from the inner zone, and one each from the middle and outer zones. All four schools were co-educational, and shared similar demographics with regard to gender, numbers of students (1,203, 1,008, 1,591 and 1,324 respectively), family socioeconomic status (low to middle class), parental support, and school environment. All respondents were subject to anthropometric measuring. Weight was measured in kilograms including one decimal point using an electronically calibrated scale (Seca, German) and height was measured in centimeters including one decimal point using a calibrated stadiometer (Microtoise) following a standard measurement [13]. Child weight status was assessed by criteria listed in the INMU Thai Growth program as weight for height (WFH) [14]. The standard criteria were that WFH from -2 SD to 2 SD = normal, WFH greater than 2 SD = obese, and WFH less than -2SD = underweight. This classified the children into 3 weight groups, obese, normal and underweight. A total of 2,585 students who were studying in grades 4-6 were included in the study. The sample size was determined by Schlesselman's formula [15].
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A total minimum sample of 135 cases was initially calculated and an additional 5 cases were later added.

Sample selection

Inclusion criteria
  1. 1.

    Students were studying in grades 4-6 aged 8 -12 years.

     
  2. 2.

    They were in the academic year 2004 in 4 selected primary schools.

     
  3. 3.

    They joined the study voluntarily.

     
  4. 4.

    They fit the obese and normal weight criteria of WFH.

     
Exclusion criteria
  1. 1.

    Students who were studying in grades 3 or below.

     
  2. 2.

    Students who were underweight.

     
Simple random sampling was used. First, 140 obese students from grades 4-6 at each school (based on student proportions at the 4 schools) were selected and labeled as a case. Then an equal number of randomly selected children of normal weight from the same classroom (similar demographics with regard to gender, family and socioeconomic status) were drawn and labeled as a control group (Figure 1). Informed consent was obtained from 100% of both the participants and their parents. All protocols for the study were reviewed and approved by the Institutional Review Board, of the Faculty of Public Health, Mahidol University, Proof No. 59/2004.
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Figure 1

Sample selection for case and control.

Data collection

Two sets of different self-administered questionnaires were used for the collection of data regarding self discipline and obesity. The first set was for the children and the second for their parents. These were in Thai language but have been translated into English in supplementary data (Additional file 1 and 2). The data collected was restricted to the two week period immediately preceding the filling of the questionnaire.

The validity of the questionnaire content was reviewed by experts (staff of the Faculty of Public Health with experience in related fields) with respect to appropriateness for the theme of the research and for the respondents. Then the questionnaires were pre-tested with 30 parents and students at the same schools. Reliability testing using Cronbach's alpha co-efficient method resulted in a reliability level of 0.70.
  1. 1.
    Child questionnaires consisted of 3 parts ( Figure 2) as follows:
    • Part I: General characteristics regarding gender, birth date and number of family members.

    • Part II: Television viewing and home environment was divided into 2 sections as follows:
      • Section I: Television viewing time (hours/day) (1 item)

      • Section II: The home environment questions consisted of 10 items including pertinent questions about accessibility to places of exercise and the availability of exercise equipment (3 items). There were also questions regarding accessibility and availability of various foods both at home and near the home (7 items). Scores of 1 (good environment) or 0 (poor environment) were assigned. From the highest total environmental score of 10 points, results were graded as good (highly supportive of health) at 8-10 points, fair at 6-7.9 points and poor at less than 6 points.

    • Part III: Questions regarding child self-discipline in 3 related areas (24 item in all) were as follows: Area 1 covered eating habits (8 items) including numbers of meals and snacks etc; Area 2 covered money management (6 items) including consideration before purchase, food choices and frugality; Area 3 covered time management (10 items) including a timetable for daily routines with such parameters as "on time" and "set times" for physical exercise and television viewing. Scores for positive health effects were 1 for never/rarely, 2 for sometimes (1-3 days/week), 3 for often (4-6 days/week) and 4 for always (7 days/week). Scores for negative child health effects (e.g., unhealthy eating habits) were scored in the reverse direction. Mean scores in each group were analyzed and were graded into 3 groups for self-discipline as high (3.01-4.00), moderate (2.01-3.00) and poor (1.00-2.00).

     
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Figure 2

Child questionnaires.

The questionnaires were answered by children at schools and if there were any questions they could ask a researcher.
  1. 2.
    Parent questionnaires consisted of 2 parts (Figure 3) as follows:
    • Part I: General questions regarding parent characteristics such as weight, height and socioeconomic status (10 items).

    • Part II: Questionnaire on parental guidance in child self-discipline covered 3 areas (24 items) as follows: Area 1 covered child eating habits (12 items), including preparation and provision of healthy meals and snacks. Area 2 covered money management (6 items), including consideration before purchase, food choices and frugality. Area 3 covered time management (6 items) including a timetable for daily routines with such parameters as "on time" and "set times" for physical exercise and television viewing. Scoring and grading was the same as used for Part III of the child questionnaires.

     
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Figure 3

Parents questionnaires.

Statistical analysis

SPSS for Windows, version 11.0 was used. Descriptive statistics were used to describe the general characteristics of children and their parents as numbers, percentages, means, and standard deviations. A Chi-square test was used to examine the relationship between independent variables and childhood obesity in bivariate analysis. A difference was considered statistically significant if the p-value was < 0.05. Multiple logistic regression was utilized to determine the association of independent variables and child obesity adjusting for potential confounding factors including gender, age, parental nutritional status, home environment, child eating habits, money management, time management and television viewing time. Adjusted odds ratios and 95% confidence intervals (CI) were reported.

Results

There were 140 students in the obese group and another 140 in the normal weight group. The proportions of age and gender (more males than females) were quite similar in both groups (Table 1). In addition, both groups had similar socioeconomic backgrounds (data not shown). There was a higher prevalence of parental obesity reported among parents of the obese group than among the parents of the normal weight group (Table 2). There was a significant relationship in weight status between father, mother and their children (OR = 2.2, 2.3; 95% CI = 1.1-3.3, 1.2-3.3). In other words, the risk of being obese was 2.2 and 2.3 times higher among children who had obese fathers and mothers. Regarding environmental factors, it was shown that the risk of becoming obese was 2.8 times higher among children who had a poorer home environment (OR = 2.8, 95% CI = 1.3-6.1). Furthermore, the risk of becoming obese was 2.7 times higher among children who watched television more than 2 hours per day.
Table 1

Number and percentage of children classified by gender and age

 

Weight status

Variables

Obese group (n = 140)

Normal weight group (n = 140)

 

Number

Percentage

Number

Percentage

Gender

    

   Male

76

54.3

71

50.7

   Female

64

45.7

69

49.3

Age

    

   8 - 9 years

83

59.3

86

61.4

   10-12 years

57

40.7

54

38.6

Table 2

Characteristics of obese and normal weight children

 

child's weight status

   

Variables

Obese(n = 140)

Normal wt (n = 140)

p-value (χ2-test)

OR

95%CI for OR

 

Percentage

Percentage

   

Parental nutritional status

     

Father

     

   Normal wt

22.9

40.0

<0.05

1.0

 

   Obese

77.1

60.0

 

2.2

1.1-3.3

Mother

     

   Normal wt

45.7

65.7

<0.05

1.0

 

   Obese

54.3

34.3

 

2.0

1.2-3.3

Home environment

     

   Good

8.6

18.6

0.03

1.0

 

   Moderate

42.9

44.3

 

2.1

1.0-4.5

   Poor

48.6

37.1

 

2.8

1.3-6.1

Television viewing time

     

   <2 hours/day

25.7

48.6

<0.05

1.0

 

   ≥2 hours/day

74.3

51.4

 

2.7

1.7-4.5

Eating habits

  

<0.05

  

   High

34.3

50.7

 

1.0

 

   Moderate

60.7

46.4

 

1.9

1.2-3.12

   Low

5.0

2.9

 

2.5

0.7-9.3

Managing expenses

  

<0.05

  

   High

17.1

27.1

 

1.0

 

   Moderate

65.0

64.3

 

1.6

0.9-2.9

   Low

17.9

8.6

 

3.3

1.4-7.8

Time management

  

<0.05

  

   High

8.6

42.9

 

1.0

 

   Moderate

65.0

47.1

 

3.8

2.2-6.6

   Low

17.9

10.0

 

1.8

0.8-4.7

Regarding child self-discipline, the risk of being obese was 1.9 times higher among children who had poor eating habits (OR = 1.9, 95% CI = 1.2-3.1). These included such things as eating more than 3 meals a day, frequently having high caloric food intake such as fried pork, fried eggs, French fries, cakes, snacks and soft drinks. In addition, the risk of becoming obese was 3.3 and 3.8 times higher among children who were poor at managing expenses and time (OR = 3.3 and 3.8; 95% CI = 1.4-7.8 and 2.2-6.6). After controlling all other variables using multiple logistic regression analysis, it was revealed (Table 3) that the first ranking adjusted odds ratio (AOR) for factors associated with childhood obesity was low level self-discipline in managing expenses (AOR 3.1, 95% CI = 1.1-8.2), followed by a poor home environment (AOR 3.0, 95% CI = 1.2-7.5), poor time management (AOR 2.9, 95% CI = 1.6-5.4), long television viewing time (AOR 2.6, 95% CI = 1.5-4.6), and father's and mother's obesity (AOR 2.2 and 1.9; 95% CI = 1.3-3.7 and 1.1-3.4), respectively (p value < 0.05).
Table 3

Adjusted Odds ratio (OR) for factors associated with childhood obesity

Variables

Unadjusted OR

95%CI for unadjusted OR

Adjusted OR#

95%CI for adjusted OR

Low self-discipline in managing expenses

3.3

1.4-7.8

3.1*

1.1-8.2

Poor home environment

2.8

1.3-6.1

3.0*

1.2-7.5

Moderate self-discipline in time management

3.8

2.2-6.6

2.9*

1.6-5.4

Television viewing time

2.7

1.7-4.5

2.6*

1.5-4.6

≥2 hours/day

    

Obese father

2.2

1.1-3.3

2.2*

1.3-3.7

Obese mother

2.0

1.2-3.3

1.9*

1.1-3.4

# After controlling for other variables including.

* Significant at p-value < 0.05

With regard to parental guidance in child self-discipline, it was found that there was no significant difference between the obese and the normal weight groups (data not shown).

Discussion

Our research findings showed that there were relationships between a child's weight status and low self discipline as regards money management, poor time management, a poor home environment and long television viewing time. A previous study reported that poor self-regulation in early childhood may predispose children to excessive weight gain through early adolescence[16]. This was supported by another study that comprehensive efforts to prevent youth risk for obesity should include target self-regulation and decision-making skills[17].

It is generally accepted that parents play an important role in childhood obesity due to their child rearing practices[18]. Various studies state that obese parents were more likely to have obese children compared to parents of normal weight [19],[20]. This might be explained by genetic transference, energy-dense dietary intake and low levels of physical activity for obese parents [21]. Home environmental factors such as availability and accessibility of food in the home or nearby food shops may also affect the food consumption behavior of children [8] and be positively related to their food choices. Our study also indicated that obese children showed poorer money management when compared to the normal weight group. They most frequently purchased food items that were energy-dense, including low-nutritive foods and beverages such as crispy snacks, fried chicken and sugar-sweetened beverages as reported in another study[22]. From our findings, this factor was associated with more risk of obesity than was parental obesity.

Regarding time management, the obese group spent 2.7 times longer watching television per day than did normal weight children. In other words, they did not manage their time well enough to allow for physical activity. In the home, television is an important source of news, entertainment and advertising, particularly for food. It can attract school children to spend more time watching television and less time exercising. In addition to a decrease in physical activity, there may be a simultaneous increase in energy intake due to the consumption of snacks while watching television. Such behavior causes obesity. Francis [23] reported for families where one or both parents were overweight that children who watched more television also snacked more frequently and consequently had higher intakes of fat from energy-dense snacks. In other words, excessive television viewing and snacking patterns are risk factors for the development of obesity[23]and hyperlipidemia[7] in children. To counter this, Timperio et al [24] reported that sibling engagement in physical activity within the home might be an important target for the prevention of weight gain during the transition from childhood to adolescence. Finnerty et al [25] also investigated the effects of peer influence on physical activity in school children and found that peers have a significant effect on physical activity levels. Familial support including encouragement to eat healthy foods like fruit and vegetables and to do physical exercise would help prevent obesity. Lindelof [26] did a qualitative study involving field observations and semi-structured interviews with 15 obese adolescents and their parents. The results showed that obese adolescents were aware of having unhealthy eating habits and that they wished they were able to attain to a healthier diet. They blamed not only themselves for being obese but also their parents for providing an unhealthy diet or little support for exercise. On the other hand, parents blamed their obese children of lacking will power to change eating and exercise habits. Therefore an obese individual's views including those about a healthier home diet must go together with a positive approach from parents if a lasting change in behavior is to be achieved.

Sirikulchayanonta, et al [27] conducted research on obesity prevention and control by promoting healthy diets and physical exercise in 4 primary schools in Bangkok. It was learned that Thai children were overindulged because of small family sizes. Parents also had positive feelings that overweight children were healthy and cute and that there was social value in eating out. In addition, they believed that teachers were respected by their children and that they would be better able to instruct children about these issues. On the other hand, the teachers believed that child eating behavior originated at home and that health issues were best handled by physicians or paramedics rather than schools. Participatory action research involving students, teachers and parents was carried out to determine whether these basic attitudes could be changed. After a 2-day training course, teachers integrated project concepts into their course curriculum. Seminars on weight management were given separately to parents and students. After 8 months, results showed that high caloric dietary intake significantly decreased, aerobic exercise activity increased (P < .001) and prevalence of obesity declined from 19.3% to 16.8%. Thus, a long-term, participatory effort to promote healthy diets and physical exercise could be effective with primary school students and may establish habits that last to later life.

Regarding sociological theory, a sound explanation why obese children lack self-discipline, watch much television and have poor ability to control their money and time was reviewed. Based on Bourdieu's theory of practice [28], habitus is the product of inculcation and appropriation necessary in order for the products of collective history, to succeed in reproducing themselves more or less complete, in the form of durable dispositions in the individuals lastingly of the same conditionings, and hence placed in the same material conditions of existence. Cited from Lindelof [26] Bourdieu develops habitus to explain the reason for behavioral similarities within different social classes. He proposed that behavior is mediated by habitus, which at a pre-conscious level organizes the individual's behavior in certain patterns reflecting the habitus. Habitus is formed in the individual's past by material, cultural and social conditions, and experiences. However, childhood and youth are of central importance to the formation of habitus. Thus, habitus cannot be grasped as it constantly changes with time and newly integrated experiences. In other words, habitus takes the past and directs it into the future as a specific way of acting in daily life. Therefore sociology treats as identical all the biological individuals who, being the product of the same objective conditions, support the same habitus. Attention must be paid to the underlying mechanism that generates unhealthy behaviour leading to obesity. To achieve a healthier lifestyle for obese individuals, a habitus is needed to stimulate and generate healthier habits.

Limitations of the present study include the self-reported parental weight status and height, that might introduce recall bias and affect the analysis. Some of the questionnaires on self discipline were subjective and some children might not have responded with their actual practices. Thus self-discipline is complex and highly individual and a qualitative exploration involving fieldwork and interviews should be explored in order to get the actual practices and to understand their socio-cultural context and habitus.

Conclusions

It is recommended that both parents and teachers participate in guidance of school children with regard to self- discipline in eating habits, money management and time management. A supportive environment conducive to healthy eating and physical activity both in the school and at home should be encouraged. A holistic approach should provide primary preventative measures against childhood obesity and future non-communicable diseases. Longitudinal studies for deeper investigations and qualitative approaches to a discussion of social, economic and cultural matters were suggested.

Notes

List of abbreviations

OBEC: 

Office of the Basic Education Commission

MOE: 

Ministry of Education

WFH: 

weight for height

SD: 

Standard deviation

OR: 

Odds ratios

AOR: 

Adjusted Odds ratios

INMU: 

Institute of Nutrition, Mahidol University

95% CI: 

95% Confidence Interval.

Declarations

Acknowledgements

This study was supported by a grant from the Thai Health Promotion Foundation No.47-00-0674 and was partially supported for publication by the China Medical Board of New York (CMB), and the Faculty of Public Health, Mahidol University. The authors would like to thank all school children and parents for their cooperation in the study. We would also like to thank W. Aekplakorn for invaluable suggestions and T.W. Flegel for assistance with editing the manuscript.

Authors’ Affiliations

(1)
Department of Nutrition, Faculty of Public Health, Mahidol University

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  29. Pre-publication history

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Copyright

© Sirikulchayanonta et al; licensee BioMed Central Ltd. 2011

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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