Warning: mkdir(): Permission denied in /home/virtual/lib/view_data.php on line 81

Warning: fopen(upload/ip_log/ip_log_2024-11.txt): failed to open stream: No such file or directory in /home/virtual/lib/view_data.php on line 83

Warning: fwrite() expects parameter 1 to be resource, boolean given in /home/virtual/lib/view_data.php on line 84
Weight Control Behaviors, Health-related Quality of Life and Nutritional Status by Overestimation of Body Image among Young Korean Females: Data from the Fifth Korea National Health and Nutrition Examination Survey, 2010-2011
Skip Navigation
Skip to contents

Korean J Community Nutr : Korean Journal of Community Nutrition

OPEN ACCESS

Articles

Page Path
HOME > Korean J Community Nutr > Volume 20(5); 2015 > Article
Research Article
Korean Journal of Community Nutrition 2015;20(5):362-374.
DOI: https://doi.org/10.5720/kjcn.2015.20.5.362
Published online: January 20, 2015

1)Department of Food Science & Nutrition, Daejin University, Pochoeon, Keonggi, Korea

2)Department of Food and Nutrition, Chungbuk National University, Cheongju, Chungbuk, Korea

†Corresponding author Hongmie Lee Department of Food Science & Nutrition, Daejin University, 1007, Hoguk-ro, Pocheon-si, Gyeonggi 11159, Korea Tel: (031) 539-1862 Fax: (031) 539-1860 E-mail: hmlee@daejin.ac.kr
• Received: August 20, 2015   • Revised: September 22, 2015   • Accepted: October 13, 2015

Copyright © 2015 Journal of the Korean Society of Community Nutrition

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

  • 173 Views
  • 0 Download
  • 7 Crossref
prev next
  • Objectives
    This study was performed to investigate the effects of overestimation of their own body shape on weight control behaviors, mental condition, physical activity, dietary behavior, health-related quality of life, and nutritional status among young Korean females. Methods: A total of 1,514 women aged 20–39 years who are not pregnant and lactating among those who participated in the Fifth Korea National Health and Nutrition Examination Survey (2010∼2011), were analyzed and grouped into underestimation (n=120), normal estimation (NE, n=840), and overestimation (OE, n=554), based on their body perception compared to actual percent ideal body weights. Variables were compared between OE group and NE group. Results: The subjects in OE group were significantly younger (29.5 vs. 30.5 years, respectively p < 0.05) and had lower body mass index (20.9 vs. 22.2 respectively, p < 0.01), health-related quality of life measured by EQ-5D (EuroQol-5 Dimension)(0.97 vs. 0.98 respectively, p < 0.05), nutrition adequacy ratio (NAR) of protein (0.91 vs. 0.93 respectively, p < 0.05), phosphorous (0.93 vs. 0.96 respectively, p < 0.05), and iron (0.70 vs. 0.75 respectively, p<0.01), and index of nutrition quality (INQ) of iron (0.84 vs. 0.89 respectively, p < 0.05) compared to those in the NE group. The results of logistic regression showed that unmarried status (OR 1.32; 1.01∼1.72) and severely underweight/underweight status (OR 1.94; 1.01∼3.75)/(OR 1.81; 1.34∼2.45) were significantly related to the probability of overestimation by the subjects. Significantly more women in OE group practiced fasting, skipping meals, and taking prescribed pills to lose body weights and had skipped breakfast compared to those in the NE group. Conclusions: The results of this study suggested that the Korean young women's distorted perception of own body shape may be associated with undesirable weight control behavior, low quality of life, and lower nutritional status. Therefore, nutrition education for this group should include information on correct body shape perception and its importance.
Table 1.
The distribution of the study participants according to weight status and subjective weight perception
Subjective weight perception Weight status
Severe under weight Under weight Normal weight Over weight Obese Total
Very thin 24 (42.9)1)a2) 10 (4.5)c 34 (662.7)
Somewhat thin 27 (50.0)b 119 (42.6)a 21 (2.4)c 167 (611.9)
Normal 3 (7.1)b 164 (52.0)b) 450 (57.9)a 13 (8.2)c 3 (2.0)c 633 (641.2)
Somewhat fat 2 (0.9)b 315 (38.0)b 133 (71.9)a 73 (35.7)c 523 (632.7)
Very fat 13 (1.7)b 30 (19.9)b 114 (62.3)a 157 (611.5)
Total 54 (64.2) 295 (20.3) 799 (50.2) 176 (12.1) 190 (13.2) 1,514 (100.0)

1)N (%) 2) a: 840 (56.4%) of total 1,514 estimated own weight status normally, b: 554 (35.5%) of total 1,514 overestimated own weight, c: 120 (8.1%) of total 1,514 underestimated own weight, all of whom were not included for further analysis

Table 2.
The distribution of the study participants according to weight perception and weight status
Actual weight status Weight perception
Under estimation Normal estimation Over estimation Total
Severe underweight 24 (13.2) 30 (16.8) 54 (114.2)
Underweight 110 (11.3)1) 119 (15.3) 166 (30.3) 295 (120.3)
Normal weight 121 (14.8) 450 (51.5) 328 (56.1) 799 (150.2)
Overweight 113 (12.4) 133 (15.5) 30 (16.8) 176 (112.1)
Obese 176 (61.5) 114 (14.5) 190 (113.2)
Total 120 (18.1) 840 (56.4) 554 (35.5) 1,514 (100.0)

1)N (%)

Table 3.
General characteristics of the study participants by weight perception
Variables Weight perception P-value
Normal estimation Over estimation Total
(n=840) (n=554) (n=1,394)
Age (year) 130.5± 0.251) 129.5± 0.33 130.1± 0.21 < 0.019∗
Height (cm) 160.6± 0.22 161.0± 0.29 160.7± 0.18 < 0.252
Weight (kg) 157.3± 0.51 154.2± 0.35 156.1± 0.35 < 0.001∗∗∗
PIBW2) (%) 103.0± 0.87 196.9± 0.58 100.6± 0.59 < 0.001∗∗∗
BMI3) (kg/m2) 122.2± 0.19 120.9± 0.12 121.7± 0.13 < 0.001∗∗∗

1)Mean± SE 2) Percent ideal body weight 3) Body mass index ∗: p < 0.05, ∗∗∗: p < 0.001 by Student's t test.

Table 4.
Odds ratios for prevalence of overestimation according to general characteristics of the study participants
General characteristics N (%) OR (95% CI)1)
Age group 30∼39 355 (50.6) 1.00
20∼29 199 (49.4) 1.13 (0.88∼1.45)
Marital status Married 351 (52.6) 1.00
Unmarried 203 (47.4) 1.32 (1.01∼1.72)
Region Urban area 500 (91.0) 1.00
Rural area 54 (69.0) 1.48 (0.94∼2.32)
Income level Low 119 (35.6) 1.00
Mid-low 149 (26.2) 1.27 (0.88∼1.83)
Mid-high 139 (25.4) 1.14 (0.81∼1.59)
High 147 (22.8) 1.21 (0.83∼1.77)
Educational level Elementary school 2 (60.4) 1.00
Middle school 7 (62.1) 2.48 (0.32∼19.12)
High school 211 (39.1) 1.40 (0.24∼8.10)
College 334 (58.4) 1.73 (0.30∼9.90)
Body shape Normal weight 328 (56.1) 1.00
Severe underweight 30 (66.8) 1.94 (1.01∼3.75)
Underweight 166 (30.3) 1.81 (1.34∼2.45)
Overweight 30 (66.8) 0.40 (0.25∼0.66)
Occupation Unemployed 290 (48.1) 1.00
Administrator 110 (20.5) 0.98 (0.70∼1.39)
Office job 65 (13.1) 0.79 (0.53∼1.18)
Sales and service 65 (12.9) 0.99 (0.67∼1.49)
Labor 24 (65.4) 0.83 (0.42∼1.66)

1)Odds ratio (95% confidence interval)

Table 5.
Experience and methods of weight control by weight perception
Variables Weight perception P-value
Normal estimation Over estimation Total
(n=840) (n=554) (n=1,394)
Weight control to lose or maintain
Yes 557 (68.2)1) 386 (67.7) 963 (68.0) 0.859
No 263 (31.8) 168 (32.3) 431 (32.0)
Method used for weight control
Exercise
Yes 354 (61.9) 227 (56.7) 581 (59.9) 0.176
No 223 (38.1) 159 (43.3) 382 (40.1)
Fasting
Yes 5 (60.5) 12 (63.3) 17 (61.6) 0.001∗∗
No 572 (99.5) 374 (96.7) 946 (98.4)
Reducing food intakes
Yes 394 (67.8) 278 (68.5) 672 (68.1) 0.848
No 183 (32.2) 108 (31.5) 291 (31.9)
Skipping meals
Yes 70 (13.8) 67 (20.1) 137 (16.2) 0.048∗
No 507 (86.2) 319 (79.8) 826 (83.8)
Un-prescribed pills
Yes 2 (60.4) 6 (61.7) 8 (60.9) 0.099
No 575 (99.6) 380 (98.3) 955 (99.1)
Prescribed pills
Yes 29 (65.4) 33 (10.4) 62 (67.4) 0.039∗
No 548 (94.6) 353 (89.6) 901 (92.6)
Herbal medicine
Yes 19 (63.0) 18 (65.8) 37 (64.1) 0.066
No 558 (97.0) 368 (94.2) 926 (95.9)
Health functional food
Yes 31 (64.8) 31 (67.5) 62 (65.8) 0.142
No 546 (95.2) 355 (92.5) 901 (94.2)
One-food diet
Yes 14 (62.2) 8 (62.2) 22 (62.2) 0.961
No 563 (97.8) 378 (97.8) 941 (97.8)

1)N (%) ∗: p < 0.05, ∗∗: p < 0.01 by χ

2test

Table 6.
Mental condition and quality of life by weight perception
Variables Weight perception P-value
Normal estimation Over estimation Total
(n=840) (n=554) (n=1,394)
Feeling stress
Much 282 (36.7)1) 198 (40.1) 480 (38.0) 0.313
A little 558 (63.3) 356 (59.9) 914 (62.0)
Feel depressed
Yes 102 (14.5) 78 (15.1) 180 (14.7) 0.795
No 738 (85.6) 476 (84.9) 1,214 (85.3)
Thinking of suicide
Yes 113 (15.1) 96 (19.6) 209 (16.9) 0.115
No 727 (84.9) 458 (80.4) 1,185 (83.1)
Counseling at a mental clinic
Yes 2 (63.6) 12 (62.1) 34 (63.1) 0.206
No 818 (96.4) 542 (97.9) 1,360 (96.9)
EQ-5D2) 0.98± 0.003) 0.97± 0.00 0.97± 0.00 0.025∗
EQ-VAS4) 74.7± 0.55 73.5± 0.71 74.2± 0.43 0.177

1)N (%) 2) Euro Quality of Life – 5 Dimension 3) Mean± SE 4) Euro Quality – visual analog scale ∗: P < 0.05 by Student's t-test

Table 7.
Dietary habits by weight perception
Variables Weight perception P-value
Normal estimation Over estimation Total
(n=840) (n=554) (n=1,394)
Skip breakfast
Yes 279 (38.4)1) 222 (46.8) 501 (41.6) 0.008∗∗
No 561 (61.6) 332 (53.2) 893 (58.4)
Skip lunch
Yes 85 (12.5) 68 (14.1) 153 (13.1) 0.517
No 755 (87.5) 486 (85.9) 1,241 (86.9)
Skip dinner
Yes 71 (69.7) 45 (68.7) 116 (69.3) 0.566
No 769 (90.3) 509 (91.3) 1,278 (90.7)
Have breakfast with family
Yes 392 (52.7) 295 (60.9) 687 (55.9) 0.011∗
No 448 (47.3) 259 (39.1) 707 (44.1)
Have lunch with family
Yes 173 (20.4) 110 (18.9) 283 (19.8) 0.532
No 667 (79.6) 444 (81.1) 1,111 (80.2)
Have dinner with family
Yes 619 (67.9) 408 (67.0) 1,027 (67.6) 0.741
No 221 (32.1) 146 (33.0) 367 (32.4)
Know about nutrition labels
Yes 794 (93.8) 521 (93.1) 1,315 (93.5) 0.705
No 46 (66.2) 33 (66.9) 79 (66.5)
Use nutrition labels when food is consumed
Yes 407 (51.3) 283 (52.9) 690 (51.9) 0.626
No 386 (48.7) 238 (47.1) 624 (48.1)
Eating out (times/week) 3.53± 0.292) 3.44± 0.13 3.49± 0.10 0.574

1)N (%) 2) Mean± SE ∗: p < 0.05, ∗∗: p < 0.01 by χ

2test

Table 8.
Daily nutrients intakes and macronutrients energy ratio by weight perception
Variables Weight perception P-value
Normal estimation Over estimation Total
(n=840) (n=554) (n=1,394)
Energy (kcal) 1,813.02± 232.61)2 1,736.02± 240.1 1,722.02± 225.3 0.160
Protein (g) 68.72± 222.1 65.02± 222.1 64.82± 221.4 0.249
Fat (g) 44.82± 221.4 45.02± 221.6 42.52± 221.1 0.921
Carbohydrates (g) 280.02± 224.3 264.02± 225.8 267.02± 223.6 0.024∗
Dietary fiber (g) 6.12± 220.2 5.92± 220.3 6.02± 221.2 0.676
Calcium (mg) 449.02± 211.3 445.02± 214.9 446.02± 228.8 0.810
Phosphorous (mg) 1,054.02± 219.8 1,022.02± 227.7 1,020.02± 216.0 0.372
Iron (mg) 12.62± 220.3 11.82± 220.5 12.12± 220.3 0.170
Sodium (mg) 4,384.02± 114.0 4,289.02± 154.0 4,233.02± 295.3 0.634
Potassium (mg) 2,680.02± 253.7 2,589.02± 274.9 2,619.02± 244.6 0.342
Vitamin A (μgRE) 719.02± 225.6 688.02± 240.3 697.02± 223.7 0.513
Carotene (μg) 3,455.02± 132.0 3,407.02± 219.0 3,409.02± 130.0 0.842
Retinol (μg) 118.02± 227.3 108.02± 226.3 114.02± 225.3 0.283
Vitamin B1 (mg) 1.23± 220.03 1.20± 220.03 1.18± 220.03 0.867
Vitamin B2 (mg) 1.16± 220.03 1.14± 220.03 1.15± 220.02 0.149
Niacin (mg) 15.52± 220.4 15.62± 220.5 15.12± 220.3 0.949
Vitamin C (mg) 99.32± 223.9 98.62± 224.1 99.82± 223.2 0.900
Macronutrients energy ratio (%)
Carbohydrates 63.32± 220.5 62.12± 220.6 63.22± 220.4 0.172
Protein 15.12± 220.2 14.72± 220.2 14.92± 220.2 0.283
Fat 21.32± 220.4 22.42± 220.5 21.52± 220.3 0.061

1)Mean± SE adjusted for age, weight, BMI, marital status, and weight status ∗: P < 0.05 by Student's t-test

Table 9.
NAR and MAR by weight perception
Variables Weight perception P-value
Normal estimation Over- estimation Total
(n=840) (n=554) (n=1,394)
NAR1)
Protein 0.93± 0.012) 0.91± 0.01 0.92± 0.01 0.026∗
Calcium 0.63± 0.01 0.61± 0.02 0.61± 0.02 0.365
Phosphorous 0.96± 0.01 0.93± 0.01 0.95± 0.01 0.036∗
Iron 0.75± 0.01 0.70± 0.02 0.73± 0.01 0.007∗∗
Vitamin A 0.74± 0.02 0.71± 0.02 0.73± 0.01 0.181
Vitamin B1 0.85± 0.01 0.82± 0.01 0.84± 0.01 0.122
Vitamin B2 0.82± 0.01 0.78± 0.01 0.80± 0.01 0.608
Niacin 0.85± 0.01 0.83± 0.01 0.84± 0.01 0.102
Vitamin C 0.99± 0.04 0.99± 0.04 1.00± 0.03 0.900
MAR3) 0.84± 0.01 0.81± 0.01 0.83± 0.01 0.095

1)Nutrient adequacy ratio 2) Mean± SE adjusted for age, weight, BMI, marital status and weight status 3) Mean nutrient adequacy ratio ∗: p < 0.05, ∗∗: p < 0.01 by Student's t-test

Table 10.
Index of nutrition quality by weight perception
Variables Weight perception P-value
Normal perception Over perception Total
(n=840) (n=554) (n=1,394)
Protein 1.13± 0.011) 1.14± 0.02 1.14± 0.01 0.936
Calcium 0.73± 0.01 0.74± 0.02 0.74± 0.01 0.965
Phosphorous 1.18± 0.12 1.18± 0.12 1.18± 0.01 0.863
Iron 0.89± 0.02 0.84± 0.02 0.88± 0.01 0.014∗
Vitamin A 0.89± 0.02 0.87± 0.02 0.89± 0.02 0.544
Vitamin B1 1.01± 0.01 1.00± 0.02 1.00± 0.01 0.847
Vitamin B2 0.96± 0.02 0.95± 0.01 0.96± 0.01 0.469
Niacin 1.02± 0.03 1.01± 0.01 1.02± 0.01 0.609
Vitamin C 1.15± 0.04 1.14± 0.04 1.15± 0.03 0.926

1)Mean± SE adjusted for age, weight, body mass index, marital status, and weight status ∗: P < 0.05 by Student's t-test

  • 1. World Health Organization. Obesity: preventing and managing the global epidemic report of a WHO consultation (WHO Technical Report Series 894) [internet]. WHO; 1998. [cited 2015 Aug 13]. Available from:. http://www.who.int/nutrition/publications/obesity/WHO_TRS_894/en/.
  • 2. Korea Centers for Disease Control and Prevention·Ministry of Health and Welfare. Korea health statistics 2013: The Sixth Korea National Health and Nutrition Examination Survey (KNHANES VI-1) [internet].. 2014; [cited 2015 Aug 13]. Available from:. https://knhanes.cdc.go.kr/knhanes/index.do.
  • 3. Ryu HK. A survey of adolescents' concern and perception about body image. Korean J Community Nutr 1997; 2(2): 197-205.
  • 4. Hong MS, Pak HO, Sohn CY. A study on food behaviors and nutrient intakes according to body mass index and body image recognition in female university students from Incheon. Korean J Food Nutr 2011; 24(3): 386-395.Article
  • 5. Chang HS. A study on weight control behaviour, eating habits and health-related life habits according to obesity degree by body fat percentage among middle-aged women in Gunsan city. Korean J Community Nutr 2010; 15(2): 227-239.
  • 6. Lim YS, Park NR, Jeon SB, Jeong SY, Tserendejid Z, Park HR. Analysis of weight control behaviors by body image perception among Korean women in different age groups: Using the 2010 Korea national health and nutrition examination survey data. Korean J Community Nutr 2015; 20(2): 141-150.Article
  • 7. Kim HJ, Jang HS. Comparison between body perception, attitude on weight-control and self-esteem according to the weight group of high school students in Daegu. J Korean Home Econ Educ Assoc 2009; 21(2): 1-22.
  • 8. Cho JH, Han SN, Kim JH, Lee HM. Body image distortion in fifth and sixth grade students may lead to stress, depression, and undesirable dieting behavior. Nutr Res Pract 2012; 6(2): 175-181.PubMedPMC
  • 9. Kim MS, Lee HM. Overestimation of own body weights in female university students: associations with lifestyles, weight control behaviors and depression. Nutr Res Pract 2010; 4(6): 499-506.
  • 10. Cuypers K, Kvaloy K, Bratberg G, Midthjell K, Holmen J, Holmen TL. Being normal weight but feeling overweight in adolescence may affect weight development into young adulthood-an 11-year followup: The HUNT study, Norway. J Obes 2012; 601872: 1-8.
  • 11. Stice E, Bearman SK. Body-image and eating disturbances prospectively predict increases in depressive symptoms in adolescent girls: A growth curve analysis. Develop Psychol 2001; 37(5): 597-607.
  • 12. Oh JY, Park KH. The effect of overvaluation of shape and weight on binge eating. Korean J Health Psychol 2011; 16(4): 739-757.
  • 13. Cho HS, Choi MK. A study on body image and dietary habits by the body mass index of middle school students in Chungnam. Korean J Food Nutr 2010; 23(3): 368-375.
  • 14. Ehrenberg HM, Dierker L, Milluzzi C, Mercer BM. Low maternal weight, failure to thrive in pregnancy, and adverse pregnancy outcomes. Am J Obstet Gynecol 2003; 189(6): 1726-1730.PubMed
  • 15. Yu Z, Han S, Zhu J, Sun X, Ji C, Guo X. Prepregnancy body mass index in relation to infant birth weight and offspring overweight/obesity: a systematic review and metaanalysis. PLoS ONE 2013; 8(4): e61627.PubMedPMC
  • 16. Seo JS, Lee JH, Yoon JS, Cho SH, Choi YS. Nutritional Assessment. 1st ed.. Seoul: Powerbook; 2008. p. 150-153.
  • 17. Kim MH, Cho YS, Uhm WS, Kim S, Bae SC. Cross-cultural adaptation and validation of the Korean version of the EQ-5D in patients with rheumatic diseases. Qual Life Res 2005; 14(5): 1401-1406.PubMed
  • 18. The Korean Nutrition Society. Dietary reference intakes for Koreans. 1st revision. Seoul: The Korean Nutrition Society; 2010. p. 25-46.
  • 19. Park SK. A survey on weight control, mental condition, physical activity, dietary behavior, and nutritional status by body perception in Korean female [Master's thesis]. Daejin University;. 2014.
  • 20. Min JS. A study on physical condition, body image perception, eating disorder risk, and depression level according to diet experience of some female high school students in Seoul [Master's thesis]. Daejin University;. 2015.
  • 21. Klos LA, Sobal J. Marital status and body weight, weight perception, and weight management among US adults. Eat Behav 2013; 14(4): 500-507.
  • 22. Montani JP, Schutz Y, Dulloo AG. Dieting and weight cycling as risk factors for cardiometabolic diseases: who is really at risk? Obes Rev 2015; 16(Suppl 1): 7-18.PubMed
  • 23. Yoon SH, Han KT, Kim SJ, Sohn TY, Jeon B, Kim W, et al. Combined effect of body mass index and body size perception on metabolic syndrome in South Korea: results of the fifth Korea National Health and Nutrition Examination Surveys (2010–2012). BMC Public Health 2015; 15(1): 1-15.PubMedPMC
  • 24. Tang J, Yu Y, Du Y, Ma Y, Zhu H, Liu Z. Association between actual weight status, perceived weight and depressive, anxious symptoms in Chinese adolescents: a cross-sectional study. BMC Public Health 2010; 10(1): 1-8.PubMedPMC
  • 25. Jansen W, van de Looij-Jansen PM, de Wilde EJ, Brug J. Feeling fat rather than being fat may be associated with psychological wellbeing in young Dutch adolescents. J Adolesc Health 2008; 42(2): 128-136.
  • 26. Farhat T, Iannotti RJ, Summersett-Ringgold F. Weight, weight perceptions, and health-related quality of life among a national sample of US girls. J Dev Behav Pediatr 2015; 36(5): 313-323.
  • 27. Chung JY, Lee MY, Kim MJ. A study on the prevalence of chronic diseases, health-related habits and nutrients intakes according to the quality of life in Korean adults. Korean J Community Nutr 2010; 15(4): 445-459.
  • 28. Lee HS. The factors influencing health-related quality of life in the elderly – Focused on the general characteristics, health habits, mental health, chronic diseases, and nutrient intake status: data from the fifth Korea National Health and Nutrition Examination Survey (KNHANES V), 2010–2012. Korean J Community Nutr 2014; 19(5): 479-489.
  • 29. Kim KW, Shin EM. A study on nutrition knowledge, nutritional attitudes, dietary behavior and dietary intake by weight control attempt among middle school female students. Korean J Community Nutr 2002; 7(1): 23-31.
  • 30. Sung SJ, Kwon SJ. Effect of eating with family or alone on the self-rated mental or physical health: The elementary school children in Daejeon area. Korean J Community Nutr 2010; 15(2): 206-226.
  • 31. Cason KL. Family mealtimes: more than just eating together. J Am Diet Assoc 2006; 106(4): 532-533.

Figure & Data

REFERENCES

    Citations

    Citations to this article as recorded by  
    • Folate intake in Korean adults: analysis of the 2016–2018 Korea National Health and Nutrition Examination Survey with newly established folate database
      Eun-Ji Park, Inhwa Han, Kyoung Hye Yu, Sun Yung Ly
      Journal of Nutrition and Health.2024; 57(4): 418.     CrossRef
    • Understanding Body Image and Appearance Management Behaviors Among Adult Women in South Korea Within a Sociocultural Context: A Review
      Kathy L. Lin, Vaishali V. Raval
      International Perspectives in Psychology.2020; 9(2): 96.     CrossRef
    • Relationships between Obesity, Body Image Perception, and Weight Control in Adult Women
      Hyunju Chae
      Korean Journal of Women Health Nursing.2019; 25(2): 129.     CrossRef
    • Dietary Habits and Nutritional Status of Young Women according to Breakfast Frequency in Seoul
      Da-Mee Kim, Youl-Ri Kim, Kyung-Hee Kim
      Korean Journal of Community Nutrition.2018; 23(2): 102.     CrossRef
    • Factors Affecting Body Image Discordance Amongst Korean Adults Aged 19–39 Years
      Hye-Young Jang, Jung-Won Ahn, Mi-Kyeong Jeon
      Osong Public Health and Research Perspectives.2018; 9(4): 197.     CrossRef
    • The differences of dietary behaviors, dietary life consumer education related current situations · competencies and dietary lifestyles between baby-boom and echo generations
      Jong Ok Park
      Journal of Nutrition and Health.2018; 51(2): 153.     CrossRef
    • Relationship between Broca Index of Late School-Aged Children and Their Mothers' Eating, Cooking, and Exercise Habit
      Hyerim Lee, Kyoung-Eun Lee, Kwang Suk Ko, Eunah Hong
      Journal of the Korean Society of Food Science and Nutrition.2016; 45(10): 1488.     CrossRef

    • PubReader PubReader
    • Cite
      CITE
      export Copy Download
      Close
      Download Citation
      Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

      Format:
      • RIS — For EndNote, ProCite, RefWorks, and most other reference management software
      • BibTeX — For JabRef, BibDesk, and other BibTeX-specific software
      Include:
      • Citation for the content below
      Weight Control Behaviors, Health-related Quality of Life and Nutritional Status by Overestimation of Body Image among Young Korean Females: Data from the Fifth Korea National Health and Nutrition Examination Survey, 2010-2011
      Korean J Community Nutr. 2015;20(5):362-374.   Published online October 31, 2015
      Close
    • XML DownloadXML Download
    We recommend
    Related articles
    Weight Control Behaviors, Health-related Quality of Life and Nutritional Status by Overestimation of Body Image among Young Korean Females: Data from the Fifth Korea National Health and Nutrition Examination Survey, 2010-2011
    Weight Control Behaviors, Health-related Quality of Life and Nutritional Status by Overestimation of Body Image among Young Korean Females: Data from the Fifth Korea National Health and Nutrition Examination Survey, 2010-2011

    The distribution of the study participants according to weight status and subjective weight perception

    Subjective weight perception Weight status
    Severe under weight Under weight Normal weight Over weight Obese Total
    Very thin 24 (42.9)1)a2) 10 (4.5)c 34 (662.7)
    Somewhat thin 27 (50.0)b 119 (42.6)a 21 (2.4)c 167 (611.9)
    Normal 3 (7.1)b 164 (52.0)b) 450 (57.9)a 13 (8.2)c 3 (2.0)c 633 (641.2)
    Somewhat fat 2 (0.9)b 315 (38.0)b 133 (71.9)a 73 (35.7)c 523 (632.7)
    Very fat 13 (1.7)b 30 (19.9)b 114 (62.3)a 157 (611.5)
    Total 54 (64.2) 295 (20.3) 799 (50.2) 176 (12.1) 190 (13.2) 1,514 (100.0)

    1)N (%) 2) a: 840 (56.4%) of total 1,514 estimated own weight status normally, b: 554 (35.5%) of total 1,514 overestimated own weight, c: 120 (8.1%) of total 1,514 underestimated own weight, all of whom were not included for further analysis

    The distribution of the study participants according to weight perception and weight status

    Actual weight status Weight perception
    Under estimation Normal estimation Over estimation Total
    Severe underweight 24 (13.2) 30 (16.8) 54 (114.2)
    Underweight 110 (11.3)1) 119 (15.3) 166 (30.3) 295 (120.3)
    Normal weight 121 (14.8) 450 (51.5) 328 (56.1) 799 (150.2)
    Overweight 113 (12.4) 133 (15.5) 30 (16.8) 176 (112.1)
    Obese 176 (61.5) 114 (14.5) 190 (113.2)
    Total 120 (18.1) 840 (56.4) 554 (35.5) 1,514 (100.0)

    1)N (%)

    General characteristics of the study participants by weight perception

    Variables Weight perception P-value
    Normal estimation Over estimation Total
    (n=840) (n=554) (n=1,394)
    Age (year) 130.5± 0.251) 129.5± 0.33 130.1± 0.21 < 0.019∗
    Height (cm) 160.6± 0.22 161.0± 0.29 160.7± 0.18 < 0.252
    Weight (kg) 157.3± 0.51 154.2± 0.35 156.1± 0.35 < 0.001∗∗∗
    PIBW2) (%) 103.0± 0.87 196.9± 0.58 100.6± 0.59 < 0.001∗∗∗
    BMI3) (kg/m2) 122.2± 0.19 120.9± 0.12 121.7± 0.13 < 0.001∗∗∗

    1)Mean± SE 2) Percent ideal body weight 3) Body mass index ∗: p < 0.05, ∗∗∗: p < 0.001 by Student's t test.

    Odds ratios for prevalence of overestimation according to general characteristics of the study participants

    General characteristics N (%) OR (95% CI)1)
    Age group 30∼39 355 (50.6) 1.00
    20∼29 199 (49.4) 1.13 (0.88∼1.45)
    Marital status Married 351 (52.6) 1.00
    Unmarried 203 (47.4) 1.32 (1.01∼1.72)
    Region Urban area 500 (91.0) 1.00
    Rural area 54 (69.0) 1.48 (0.94∼2.32)
    Income level Low 119 (35.6) 1.00
    Mid-low 149 (26.2) 1.27 (0.88∼1.83)
    Mid-high 139 (25.4) 1.14 (0.81∼1.59)
    High 147 (22.8) 1.21 (0.83∼1.77)
    Educational level Elementary school 2 (60.4) 1.00
    Middle school 7 (62.1) 2.48 (0.32∼19.12)
    High school 211 (39.1) 1.40 (0.24∼8.10)
    College 334 (58.4) 1.73 (0.30∼9.90)
    Body shape Normal weight 328 (56.1) 1.00
    Severe underweight 30 (66.8) 1.94 (1.01∼3.75)
    Underweight 166 (30.3) 1.81 (1.34∼2.45)
    Overweight 30 (66.8) 0.40 (0.25∼0.66)
    Occupation Unemployed 290 (48.1) 1.00
    Administrator 110 (20.5) 0.98 (0.70∼1.39)
    Office job 65 (13.1) 0.79 (0.53∼1.18)
    Sales and service 65 (12.9) 0.99 (0.67∼1.49)
    Labor 24 (65.4) 0.83 (0.42∼1.66)

    1)Odds ratio (95% confidence interval)

    Experience and methods of weight control by weight perception

    Variables Weight perception P-value
    Normal estimation Over estimation Total
    (n=840) (n=554) (n=1,394)
    Weight control to lose or maintain
    Yes 557 (68.2)1) 386 (67.7) 963 (68.0) 0.859
    No 263 (31.8) 168 (32.3) 431 (32.0)
    Method used for weight control
    Exercise
    Yes 354 (61.9) 227 (56.7) 581 (59.9) 0.176
    No 223 (38.1) 159 (43.3) 382 (40.1)
    Fasting
    Yes 5 (60.5) 12 (63.3) 17 (61.6) 0.001∗∗
    No 572 (99.5) 374 (96.7) 946 (98.4)
    Reducing food intakes
    Yes 394 (67.8) 278 (68.5) 672 (68.1) 0.848
    No 183 (32.2) 108 (31.5) 291 (31.9)
    Skipping meals
    Yes 70 (13.8) 67 (20.1) 137 (16.2) 0.048∗
    No 507 (86.2) 319 (79.8) 826 (83.8)
    Un-prescribed pills
    Yes 2 (60.4) 6 (61.7) 8 (60.9) 0.099
    No 575 (99.6) 380 (98.3) 955 (99.1)
    Prescribed pills
    Yes 29 (65.4) 33 (10.4) 62 (67.4) 0.039∗
    No 548 (94.6) 353 (89.6) 901 (92.6)
    Herbal medicine
    Yes 19 (63.0) 18 (65.8) 37 (64.1) 0.066
    No 558 (97.0) 368 (94.2) 926 (95.9)
    Health functional food
    Yes 31 (64.8) 31 (67.5) 62 (65.8) 0.142
    No 546 (95.2) 355 (92.5) 901 (94.2)
    One-food diet
    Yes 14 (62.2) 8 (62.2) 22 (62.2) 0.961
    No 563 (97.8) 378 (97.8) 941 (97.8)

    1)N (%) ∗: p < 0.05, ∗∗: p < 0.01 by χ

    2test

    Mental condition and quality of life by weight perception

    Variables Weight perception P-value
    Normal estimation Over estimation Total
    (n=840) (n=554) (n=1,394)
    Feeling stress
    Much 282 (36.7)1) 198 (40.1) 480 (38.0) 0.313
    A little 558 (63.3) 356 (59.9) 914 (62.0)
    Feel depressed
    Yes 102 (14.5) 78 (15.1) 180 (14.7) 0.795
    No 738 (85.6) 476 (84.9) 1,214 (85.3)
    Thinking of suicide
    Yes 113 (15.1) 96 (19.6) 209 (16.9) 0.115
    No 727 (84.9) 458 (80.4) 1,185 (83.1)
    Counseling at a mental clinic
    Yes 2 (63.6) 12 (62.1) 34 (63.1) 0.206
    No 818 (96.4) 542 (97.9) 1,360 (96.9)
    EQ-5D2) 0.98± 0.003) 0.97± 0.00 0.97± 0.00 0.025∗
    EQ-VAS4) 74.7± 0.55 73.5± 0.71 74.2± 0.43 0.177

    1)N (%) 2) Euro Quality of Life – 5 Dimension 3) Mean± SE 4) Euro Quality – visual analog scale ∗: P < 0.05 by Student's t-test

    Dietary habits by weight perception

    Variables Weight perception P-value
    Normal estimation Over estimation Total
    (n=840) (n=554) (n=1,394)
    Skip breakfast
    Yes 279 (38.4)1) 222 (46.8) 501 (41.6) 0.008∗∗
    No 561 (61.6) 332 (53.2) 893 (58.4)
    Skip lunch
    Yes 85 (12.5) 68 (14.1) 153 (13.1) 0.517
    No 755 (87.5) 486 (85.9) 1,241 (86.9)
    Skip dinner
    Yes 71 (69.7) 45 (68.7) 116 (69.3) 0.566
    No 769 (90.3) 509 (91.3) 1,278 (90.7)
    Have breakfast with family
    Yes 392 (52.7) 295 (60.9) 687 (55.9) 0.011∗
    No 448 (47.3) 259 (39.1) 707 (44.1)
    Have lunch with family
    Yes 173 (20.4) 110 (18.9) 283 (19.8) 0.532
    No 667 (79.6) 444 (81.1) 1,111 (80.2)
    Have dinner with family
    Yes 619 (67.9) 408 (67.0) 1,027 (67.6) 0.741
    No 221 (32.1) 146 (33.0) 367 (32.4)
    Know about nutrition labels
    Yes 794 (93.8) 521 (93.1) 1,315 (93.5) 0.705
    No 46 (66.2) 33 (66.9) 79 (66.5)
    Use nutrition labels when food is consumed
    Yes 407 (51.3) 283 (52.9) 690 (51.9) 0.626
    No 386 (48.7) 238 (47.1) 624 (48.1)
    Eating out (times/week) 3.53± 0.292) 3.44± 0.13 3.49± 0.10 0.574

    1)N (%) 2) Mean± SE ∗: p < 0.05, ∗∗: p < 0.01 by χ

    2test

    Daily nutrients intakes and macronutrients energy ratio by weight perception

    Variables Weight perception P-value
    Normal estimation Over estimation Total
    (n=840) (n=554) (n=1,394)
    Energy (kcal) 1,813.02± 232.61)2 1,736.02± 240.1 1,722.02± 225.3 0.160
    Protein (g) 68.72± 222.1 65.02± 222.1 64.82± 221.4 0.249
    Fat (g) 44.82± 221.4 45.02± 221.6 42.52± 221.1 0.921
    Carbohydrates (g) 280.02± 224.3 264.02± 225.8 267.02± 223.6 0.024∗
    Dietary fiber (g) 6.12± 220.2 5.92± 220.3 6.02± 221.2 0.676
    Calcium (mg) 449.02± 211.3 445.02± 214.9 446.02± 228.8 0.810
    Phosphorous (mg) 1,054.02± 219.8 1,022.02± 227.7 1,020.02± 216.0 0.372
    Iron (mg) 12.62± 220.3 11.82± 220.5 12.12± 220.3 0.170
    Sodium (mg) 4,384.02± 114.0 4,289.02± 154.0 4,233.02± 295.3 0.634
    Potassium (mg) 2,680.02± 253.7 2,589.02± 274.9 2,619.02± 244.6 0.342
    Vitamin A (μgRE) 719.02± 225.6 688.02± 240.3 697.02± 223.7 0.513
    Carotene (μg) 3,455.02± 132.0 3,407.02± 219.0 3,409.02± 130.0 0.842
    Retinol (μg) 118.02± 227.3 108.02± 226.3 114.02± 225.3 0.283
    Vitamin B1 (mg) 1.23± 220.03 1.20± 220.03 1.18± 220.03 0.867
    Vitamin B2 (mg) 1.16± 220.03 1.14± 220.03 1.15± 220.02 0.149
    Niacin (mg) 15.52± 220.4 15.62± 220.5 15.12± 220.3 0.949
    Vitamin C (mg) 99.32± 223.9 98.62± 224.1 99.82± 223.2 0.900
    Macronutrients energy ratio (%)
    Carbohydrates 63.32± 220.5 62.12± 220.6 63.22± 220.4 0.172
    Protein 15.12± 220.2 14.72± 220.2 14.92± 220.2 0.283
    Fat 21.32± 220.4 22.42± 220.5 21.52± 220.3 0.061

    1)Mean± SE adjusted for age, weight, BMI, marital status, and weight status ∗: P < 0.05 by Student's t-test

    NAR and MAR by weight perception

    Variables Weight perception P-value
    Normal estimation Over- estimation Total
    (n=840) (n=554) (n=1,394)
    NAR1)
    Protein 0.93± 0.012) 0.91± 0.01 0.92± 0.01 0.026∗
    Calcium 0.63± 0.01 0.61± 0.02 0.61± 0.02 0.365
    Phosphorous 0.96± 0.01 0.93± 0.01 0.95± 0.01 0.036∗
    Iron 0.75± 0.01 0.70± 0.02 0.73± 0.01 0.007∗∗
    Vitamin A 0.74± 0.02 0.71± 0.02 0.73± 0.01 0.181
    Vitamin B1 0.85± 0.01 0.82± 0.01 0.84± 0.01 0.122
    Vitamin B2 0.82± 0.01 0.78± 0.01 0.80± 0.01 0.608
    Niacin 0.85± 0.01 0.83± 0.01 0.84± 0.01 0.102
    Vitamin C 0.99± 0.04 0.99± 0.04 1.00± 0.03 0.900
    MAR3) 0.84± 0.01 0.81± 0.01 0.83± 0.01 0.095

    1)Nutrient adequacy ratio 2) Mean± SE adjusted for age, weight, BMI, marital status and weight status 3) Mean nutrient adequacy ratio ∗: p < 0.05, ∗∗: p < 0.01 by Student's t-test

    Index of nutrition quality by weight perception

    Variables Weight perception P-value
    Normal perception Over perception Total
    (n=840) (n=554) (n=1,394)
    Protein 1.13± 0.011) 1.14± 0.02 1.14± 0.01 0.936
    Calcium 0.73± 0.01 0.74± 0.02 0.74± 0.01 0.965
    Phosphorous 1.18± 0.12 1.18± 0.12 1.18± 0.01 0.863
    Iron 0.89± 0.02 0.84± 0.02 0.88± 0.01 0.014∗
    Vitamin A 0.89± 0.02 0.87± 0.02 0.89± 0.02 0.544
    Vitamin B1 1.01± 0.01 1.00± 0.02 1.00± 0.01 0.847
    Vitamin B2 0.96± 0.02 0.95± 0.01 0.96± 0.01 0.469
    Niacin 1.02± 0.03 1.01± 0.01 1.02± 0.01 0.609
    Vitamin C 1.15± 0.04 1.14± 0.04 1.15± 0.03 0.926

    1)Mean± SE adjusted for age, weight, body mass index, marital status, and weight status ∗: P < 0.05 by Student's t-test

    Table 1. The distribution of the study participants according to weight status and subjective weight perception

    N (%) 2) a: 840 (56.4%) of total 1,514 estimated own weight status normally, b: 554 (35.5%) of total 1,514 overestimated own weight, c: 120 (8.1%) of total 1,514 underestimated own weight, all of whom were not included for further analysis

    Table 2. The distribution of the study participants according to weight perception and weight status

    N (%)

    Table 3. General characteristics of the study participants by weight perception

    Mean± SE 2) Percent ideal body weight 3) Body mass index ∗: p < 0.05, ∗∗∗: p < 0.001 by Student's t test.

    Table 4. Odds ratios for prevalence of overestimation according to general characteristics of the study participants

    Odds ratio (95% confidence interval)

    Table 5. Experience and methods of weight control by weight perception

    N (%) ∗: p < 0.05, ∗∗: p < 0.01 by χ

    test

    Table 6. Mental condition and quality of life by weight perception

    N (%) 2) Euro Quality of Life – 5 Dimension 3) Mean± SE 4) Euro Quality – visual analog scale ∗: P < 0.05 by Student's t-test

    Table 7. Dietary habits by weight perception

    N (%) 2) Mean± SE ∗: p < 0.05, ∗∗: p < 0.01 by χ

    test

    Table 8. Daily nutrients intakes and macronutrients energy ratio by weight perception

    Mean± SE adjusted for age, weight, BMI, marital status, and weight status ∗: P < 0.05 by Student's t-test

    Table 9. NAR and MAR by weight perception

    Nutrient adequacy ratio 2) Mean± SE adjusted for age, weight, BMI, marital status and weight status 3) Mean nutrient adequacy ratio ∗: p < 0.05, ∗∗: p < 0.01 by Student's t-test

    Table 10. Index of nutrition quality by weight perception

    Mean± SE adjusted for age, weight, body mass index, marital status, and weight status ∗: P < 0.05 by Student's t-test


    Korean J Community Nutr : Korean Journal of Community Nutrition
    Close layer
    TOP