소아청소년의 과체중과 비만의 유병률 및 관련요인 -2005년...

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188 서 론 (World Health Organization; WHO) [1]. , , , , , , , , [2]. . [3]. 25 45 5 6 2.9 , 1.5 [4]. 38.3%, 61.7%, 7.4%, 0.38% 78.7% [5]. 30 60% [6-7]. 80% 1/3 . [8-10]. 20 (National Hospital Discharge Survey) 6 17 ( , , , ) 1979 1981 3 1997 1999 3 3 [11]. . , . [12]. , . . WHO 소아청소년의 과체중과 비만의 유병률 및 관련요인 -2005년 국민건강영양조사를 대상으로- 강신관 김순덕 이제숙 고려대학교 보건대학원 고려대학교 의과대학 예방의학교실 고려대학교 대학원 보건학협동과정 원 저

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Page 1: 소아청소년의 과체중과 비만의 유병률 및 관련요인 -2005년 …e-epih.org/upload/pdf/kje-30-2-188.pdf · 190 (Table 2)., , , , 1. 2.41 (Table 3). 0.38 Variables

188

서 론

(World Health Organization; WHO)

[1].

,

, , , , , ,

,

[2].

.

[3].

25 45

5 6 2.9 ,

1.5 [4].

38.3%,

61.7%, 7.4%, 0.38%

78.7%

[5].

30 60%

[6-7].

80%

1/3

.

[8-10].

20 (National Hospital

Discharge Survey) 6 17

( , ,

, ) 1979 1981

3 1997 1999 3

3 [11].

.

,

.

[12].

,

.

.

WHO

소아청소년의 과체중과 비만의 유병률 및 관련요인-2005년 국민건강영양조사를 대상으로-

강신관 김순덕 이제숙

고려대학교 보건대학원 고려대학교 의과대학 예방의학교실 고려대학교 대학원 보건학협동과정

원 저

Page 2: 소아청소년의 과체중과 비만의 유병률 및 관련요인 -2005년 …e-epih.org/upload/pdf/kje-30-2-188.pdf · 190 (Table 2)., , , , 1. 2.41 (Table 3). 0.38 Variables

189

.

.

,

[3, 13-15].

,

.

,

.

연구대상 및 방법

1. 연구 대상

2005

[16]. 2005

, . 2005

11,350 12 18

3,316 ,

669 (20.2%)

.

2. 연구 방법

(kg)

(m2) (BMI)

.

2007 .

85

, 85 95

, 95 .

( , ,

), ( , 1

, ,

, , 1 ,

), ( ,

(LDL ) .

3. 분석 방법

, ,

.

,

100

. ,

,

Fisher exact test .

. SUDAAN(Ver 9.1)

.

연구성적

2 . 2007

85

11.7% , 95

8.1% (Table 1).

, ,

.

20.0%, 12.2%

10.2%, 3.8%

9.0%, 10.1%

.

, , , 1

No (%)

Normal 537 (80.3)

Overweight 78 (11.7)

Obesity 54 ( 8.1)

Table Table Table Table 1. 1. 1. 1. Prevalence rates of overweight and obesity in children and adolescents

Page 3: 소아청소년의 과체중과 비만의 유병률 및 관련요인 -2005년 …e-epih.org/upload/pdf/kje-30-2-188.pdf · 190 (Table 2)., , , , 1. 2.41 (Table 3). 0.38 Variables

190

(Table 2).

, , , , 1

.

2.41 (Table 3).

0.38

Variables Nomal Overweight Obesity P-value

Region 0.002

Seoul 78 (67.8) 23 (20.0) 14 (12.2)

Metropolitan 136 (86.0) 18 (10.2) 7 (3.8)

Rural 323 (80.9) 37 (9.0) 33 (10.1)

Gender 0.895

Male 284 (79.4) 44 (11.5) 32 (9.1)

Female 253 (80.9) 34 (11.1) 22 (8.0)

Age 0.533

Children 286 (78.4) 41 (11.9) 29 (9.7)

Adolescents 251 (82.1) 37 (10.6) 25 (7.3)

Sleeping time 0.222

6 174 (79.8) 26 (10.6) 21 (9.6)

7-8 286 (78.3) 47 (12.9) 28 (8.8)

9 56 (89.3) 3 (5.4) 3 (5.3)

Weekly computer game using time for weekend 0.136

Never, 30 169 (77.1) 26 (11.8) 22 (11.1)

2-5 320 (83.3) 40 (10.4) 24 (6.3)

6 27 ( 63.2) 10 (21.4) 6 (15.4)

Table Table Table Table 2. 2. 2. 2. General characteristics and health consciousness behavior of subjects

Variables β SE P-value OR (95% CI)

Region

Seoul 0.879 0.326 0.007 2.41 (1.27-4.56)

Metropolitan 0.032 0.327 0.921 1.03 (0.54-1.96)

Gender

Male -0.042 0.272 0.877 0.96 (0.56-1.64)

Age

Children 0.208 0.263 0.430 1.23 (0.73-2.06)

Sleeping time

6 1.973 0.671 0.148 2.64 (0.71-9.87)

7-8 1.998 0.645 0.123 2.71 (0.76-9.62)

Weekly computer game using time for weekend

2-5 -0.215 0.293 0.464 0.81 (0.45-1.43)

6 -0.762 0.480 0.113 2.14 (0.83-5.50)

Reference variables: region=rural, gender=female, age=adolescence, sleeping time= 9.

computer game using time per day in week=never & <30 minute.

Table Table Table Table 3. 3. 3. 3. Result of logistic regression analysis between normal and overweight group

Page 4: 소아청소년의 과체중과 비만의 유병률 및 관련요인 -2005년 …e-epih.org/upload/pdf/kje-30-2-188.pdf · 190 (Table 2)., , , , 1. 2.41 (Table 3). 0.38 Variables

191

(Table 4).

,

1

. 26.9

%, 71.9% 2.3%, 97.7%

. 1 52.6%,

40.8% 61.2%, 33%

.

, , ,

, , 1

, 1 ,

(Table 5).

고 찰

2007

12 18 11.7%,

8.1% .

, 1998

, 14.2%, 9.1% .

(Hellenic National Statistics

Service; HNSS) 6 -17

17.3%, 3.6% ,

16.9%, 17.6%,

3.8%, 3.3% [17].

43.1%, 12.1%

[18]. 18.6%,

8.1% [19]. 2006

25.1% [15],

10.6%,

6.3%, 6.7% [20].

23.3%, 13.8%

[21].

CASPIAN(Childhood & Adolescence Surveillance

and Prevention of Adult Non-communicable disease)

,

,

[22]. Shang ,

20.6%, 20.0% [23].

.

Variables β SE P-value OR (95% CI)

Region

Seoul 0.346 0.407 0.395 1.41 (0.64-3.14)

Metropolitan -0.977 0.479 0.042 0.38 (0.15-0.96)

Gender

Male 0.263 0.331 0.426 1.30 (0.68-2.49)

Age

Children 0.600 0.394 0.128 1.82 (0.84-3.94)

Sleeping time

6 1.122 0.675 0.097 3.07 (0.82-11.55)

7-8 0.647 0.643 0.314 1.91 (0.54-6.75)

Weekly computer game using time for weekend

2-5 -0.513 0.356 0.149 1.60 (0.30-1.20)

6 0.598 0.586 0.309 1.82 (0.57-5.75)

Reference variables: region=rural, gender=female, age=adolescence, sleeping time= 9.

computer game using time per day in week=never & <30 minute.

Table Table Table Table 4. 4. 4. 4. Result of logistic regression analysis between normal and obese group

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192

20.0%, 12.2%

10.2%, 3.8%

9.0%,

10.1% . .

Variables Normal Overweight Obesity P-value

Sleeping sufficiency 0.088

enough 263 (51.0) 37 (50.9) 18 (32.3)

not enough 253 (49.0) 39 (49.1) 34 (67.7)

Subjective recognition of health condition 0.198

good 330 (63.7) 45 (58.4) 32 (61.5)

normal 165 (31.9) 29 (39.3) 13 (25.0)

bad 21 ( 4.4) 2 ( 2.3) 7 (13.5)

Subjective recognition of physique 0.001

thin 154 (29.8) 1 ( 1.2) 0 ( 0.0)

normal 291 (56.4) 18 (26.9) 1 ( 2.3)

obese 71 (13.8) 57 (71.9) 51 (97.7)

Weight control or not in one year 0.001

lose 126 (24.2) 40 (52.6) 34 (61.2)

fatten up 70 (13.9) 1 ( 1.3) 0 ( 0.0)

sustain present 61 (12.0) 4 ( 5.3) 3 ( 5.8)

not try 259 (49.9) 31 (40.8) 15 (33.0)

The reason of weight control 0.407

health problem 7 ( 3.5) 3 ( 5.8) 2 ( 5.4)

health improvement 43 (22.0) 16 (38.9) 11 (29.7)

good appearence 136 (73.8) 25 (55.3) 24 (64.9)

Total cholesterol 0.501

normal 502 (96.9) 73 (93.8) 50 (94.3)

high cholesterol 16 ( 3.1) 4 ( 6.2) 3 ( 5.7)

LDL-Cholesterol 0.137

normal 361 (70.7) 43 (61.6) 26 (58.9)

high normal 123 (25.8) 24 (27.9) 20 (32.9)

danger very danger 19 ( 3.5) 6 (10.6) 3 ( 8.2)

Weekly weights exercise 0.101

never 267 (50.8) 43 (56.6) 27 (56.0)

1-2 143 (29.3) 14 (18.4) 13 (23.3)

3 106 (19.9) 19 (25.0) 12 (23.7)

Weekly softness exercise 0.722

never 201 (38.7) 28 (39.7) 16 (34.5)

1-2 172 (32.7) 26 (28.9) 22 (41.7)

3 143 (28.6) 22 (31.4) 14 (23.8)

Stress 0.603

high 452 (87.4) 64 (82.2) 43 (86.3)

little or hardly ever 64 (12.6) 12 (17.8) 9 (13.7)

Table Table Table Table 5. 5. 5. 5. Health consciousness behavior of subjects

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193

.

[24],

TV , ,

, , ,

[25]

[26]

.

1997

25.0%, 38.9%, 42.8%

43.8% [20]. 1998

16-19 50.7%

( 1998),

64.9%

[27]. 2006 ,

93%

56% 61.9%

[28].

,

,

‘ ’

29.8%, ‘ ’

13.8% 26.9% ‘ ’

71.9% ‘ ’

2.3% ‘ ’

97.7% ‘ ’

.

1

24.2%, 13.9%

52.6%, 40.2%

. 61.2%,

33% .

2006

. ,

, , ,

, 1 , 1

,

.

(Body mass index:

BMI) ,

(Body fat percentage)

.

.

[15].

2006

. ,

[29]. 40

.

. , ,

.

2005

, 2007

. 2007

, 95

,

25kg/m2

[30].

85 95

. 2007

2005

,

. 2000

WHO (WHO Growth

Reference) , 85

[31,32].

Komiya 100,587 (6 -17 )

(cutoff values) International

Obesity Task Forece(IOTF) , BMI

93%

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194

[32].

.

. 2005

.

,

.

1995 1998

2007

.

,

.

.

.

결 론

2005

.

12-18 11.7

% , 8.1% .

, ,

20.0%,

12.2% 10.2%,

3.8% 9.0%,

10.1% . , ,

, 1

.

2.41

0.38

.

,

1

. ,

, , ,

, 1 , 1

,

.

.

,

.

참고문헌

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Obwsity Epidemic. WHO Technical Report Series

916; 1997 June 3-5; Geneva. Switzerland: World

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413-418.

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in children and adolescents. Eur J Pediatt 2000;159

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.

2002;19:87-105.

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.

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;1995.

10. . .

1997;18:906-916.

11. Wang G, Dietz WH. Economic budern of obesity

in youths aged 6-17 years:1997-1999. Pediatrics

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2005.

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. 1997;30(7):832

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.

2004;47:247-57.

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.

. 2006;39(5):371-378.

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3 (2005). 2006. 7

17. Georgiadis G, Nassis GP. Prevalence of overweight

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Greek children and adolescents. Eur J Clin Nutr

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18. Johnson CA, Xie B, Liu C, Reynolds KD, Chou

CP, Koprowski C, Gallaher P, Spruitj-Metz D, Guo

Q, Sun P, Gong J, Palmer P. Socio-demographic

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Wang YF. Prevalence of overweight and obesity

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.

1997;6(1):41-49.

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.

2007;16(2):76-85.

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Delavari A, Motaghian M, Barekati H, Mahmoud-

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W, Weiland SK. Inverse association of overweight

and breast feeding in 9 to 10-year old children in

germany. Int J Obes Relat Metab Disord 2001;25

(11):1466-1650.

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.

. 2008;51(2):134-140.

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. 2006;15(1):37-43.

29. Wright CM, Booth IW, Buckler JM, Cameron N,

Cole TH, Healy MJ, Husle JA, Preece MA, Reily

JJ, Williams AF. Growth reference charts for use

in the United Kingdom. Arch Dis Child 2002;

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Y, Kim YS, Bassett J. The Asia-pacific perspective:

redefining obesity and its treatment. The Intern-

ational Diabetes Institute 2000. URL//http://www.

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diabetes.com.au/pdf/obesity_report.pdf.

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197

Purpose: To investigate the prevalence rates of overweight and obesty, and their associations in children and

adolescents(12-18years) who were defined as normal weight, overweight , and obese.

Methods: Korean National Health and Nutrition Examination Survey 2005 raw data was utilized. The data on the

669 subjects aged 12-18 consisted of variables from the health interview survey, health examination and nutrition

survey, and health consciousness behavior survey. Overweight and obesity was evaluated by established body mass

index criteria. Chi-squire and Fisher exact test were performed to analyze differences among normal, overweight and

obese groups according to basic characteristics and health consciousness behavior. Logistic regression was used to

analyze risk factors for the overweight and obese groups.

Results: Overweight and obesity prevalence rates were 11.7% and 8.1%, respectively. Of the subjects from urban

regions, 20% were overweight and 12.2% were obese. Of those from semi-urban regions, 10.2% were overweight and

3.8% were obese. Of those from rural regions, 9.0% were overweight and 10.1% were obese. The obesity rate in

semi-urban regions were 0.38% times lower than the rural rate.

Conclusions: Geographical location constitutes a risk factor for overweight and obesity, which may influence

preventative and education programs aimed at schools and the general community.

: Child and adolescent obesity, overweight, BMI

Prevalence Rates and Risk Factors of Overweight and

Obesity in Children and Adolescents

-Using Korean National Health and Nutrition Examination Survey 2005 Data-

Shinkwan Kang1), Soonduck Kim

2), Jesuk Lee

3)