Journal List > J Nutr Health > v.50(4) > 1081510

Son, Han, and Hyun: Changes in weight, waist circumference, prevalence of obesity, and dietary factors associated with weight gain over 8 years in Korean adults: Longitudinal data from the Korean Genome and Epidemiology Study∗

Abstract

Purpose

The purposes of this study were to describe changes in weight, waist circumference (WC), and prevalence of obesity over 8 years as well as investigate demographic and dietary factors associated with weight gain in Korean adults. Methods: The Korean Genome and Epidemiology Study is an ongoing community-based longitudinal study, which was started in 2001∼2002 and repeated every 2 years. Height, weight, and WC were measured, and demographic data and food intake information using the food frequency questionnaire were collected from 10,038 adults aged 40∼69 years at baseline. Among those individuals, 3,506 healthy individuals without chronic diseases completed the 4th follow-up survey in 2009∼2010. Results: Mean weight decreased by 0.35 kg and 0.65 kg in men and women, respectively, whereas mean WC increased by 1.71 cm and 1.85 cm during the 8-year period. Prevalence of obesity based on body mass index (BMI) decreased from 34.5% to 33.5% in men and from 38.0% to 36.7% in women, whereas abdominal obesity increased from 14.8% to 22.2% in men and from 28.8% to 35.4% in women. Weight change was associated with age and smoking status in men, and residence area, age, education, income, and alcohol drinking in women. Approximately 57.5% maintained their BMI over 8 years (< ±1 kg/m2, stable weight group), 19.5% showed a BMI increase of ≥ 1 kg/m2 (weight gain group), and 23.0% showed a BMI decrease of more than 1 kg/m2 (weight loss group). There was no significant difference in energy intake calculated as the percentage of estimated energy requirements among the three weight change groups. Intakes of coffee mix and milk were significantly higher in the weight gain group than in the weight loss group in men after controlling for confounding factors. Conclusion: Our results show that higher consumption of coffee mix and milk was associated with weight gain in Korean healthy men.

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Fig. 1.
Flow diagram of participant selection for analysis
jnh-50-336f1.tif
Fig. 2.
Changes in the percentages of obesity categories and abdominal obesity over 8 years
jnh-50-336f2.tif
Fig. 3.
Changes in mean weight, waist circumference and body mass index by age groups over 8 years
jnh-50-336f3.tif
Table 1.
Characteristics of the study population at baseline
Characteristics Total (n = 3,506) Men (n = 1,804) Women (n = 1,702) p-value2)
Residence area        
Urban (Ansan) 1,892 (54.0)1) 1022 (56.7) 870 (51.1) < 0.01
Rural (Ansung) 1,614 (46.0) 782 (43.3) 832 (48.9)  
Age (yrs)        
40 ∼ 49 1,993 (56.9) 1,030 (57.1) 963 (56.6) NS3)
50 ∼ 59 867 (24.7) 439 (24.3) 428 (25.1)  
60 ∼ 69 646 (18.4) 335 (18.6) 311 (18.3)  
Education        
≤ Middle school graduate 1,742 (46.7) 702 (38.9) 1,040 (61.1) < 0.001
High school graduate 1,236 (35.3) 696 (38.6) 540 (31.7)  
≥ College graduate 528 (15.1) 406 (22.5) 122 (7.2)  
Monthly income (10,000 won/mo)        
< 100 1,031 (29.4) 449 (24.9) 582 (34.2) < 0.001
100 ∼ 200 1,051 (30.0) 546 (30.3) 505 (29.7)  
200 ∼ 300 731 (20.9) 409 (22.7) 322 (18.9)  
≥ 300 693 (19.8) 400 (22.2) 293 (17.2)  
Job        
Farmer 928 (26.5) 574 (31.8) 354 (20.8) < 0.001
Housewife 897 (25.6) 0 (0.0) 897 (52.7)  
Self-employed 570 (16.3) 422 (23.4) 148 (8.7)  
Office clerk/Professional 338 (9.6) 283 (15.7) 55 (3.2)  
Sales/Manufacturing worker 264 (7.5) 144 (8.0) 120 (7.1)  
Other 509 (14.5) 381 (21.1) 128 (7.5)  
Alcohol        
No 1,727 (49.3) 511 (28.3) 1,216 (71.5) < 0.001
Yes 1,776 (50.7) 1,293 (71.7) 486 (28.6)  
Smoking        
No 2,601 (74.2) 943 (52.3) 1,658 (97.4) < 0.001
Yes 905 (25.8) 861 (47.7) 44 (2.6)  
Physical activity        
Rarely 1,635 (47.6) 844 (47.2) 809 (48.0) NS
< 30 min 469 (13.5) 241 (13.5) 228 (13.5)  
≥ 30 min 1,350 (38.9) 702 (39.3) 648 (38.5)  

1) N (%) 2) By χ2-test 3) Not significant

Table 2.
Anthropometric measurements and prevalence of obesity at baseline and at 8-year follow-up
  Men (n = 1,804) Women (n = 1,702)
  Baseline Follow-up p-value1) Baseline Follow-up p-value
Age (yrs) 50.4 ± 8.32) 58.2 ± 8.3 < 0.001 50.3 ± 8.3 58.2 ± 8.2 < 0.001
Height (cm) 166.9 ± 5.7 166.6 ± 5.8 NS3) 154.5 ± 5.4 154.1 ± 5.7 < 0.001
Weight (kg) 66.7 ± 9.4 66.4 ± 9.6 < 0.001 58.3 ± 8.1 57.6 ± 8.1 < 0.001
WC4) (cm) 82.3 ± 7.4 84.0 ± 8.1 < 0.001 79.9 ± 9.1 81.7 ± 9.5 < 0.001
BMI5) (kg/m2) 23.9 ± 2.8 23.9 ± 2.9 NS 24.4 ± 3.1 24.2 ± 3.0 < 0.001
BMI categories            
Underweight (<18.5 kg/m2) 47 (2.6)6) 77 (4.3) < 0.01 25 (1.5) 29 (1.7) NS
Normal (18.5 ∼ 22.9 kg/m2) 633 (35.1) 586 (32.5)   559 (32.8) 586 (34.4)  
Overweight (23 ∼ 24.9 kg/m2) 502 (27.8) 536 (29.7)   472 (27.7) 463 (27.2)  
Obese (≥ 25 kg/m2) 622 (34.5) 605 (33.5)   646 (38.0) 624 (36.7)  
WC categories            
Normal 1,537 (85.2) 1,403 (77.8) < 0.001 1,212 (71.2) 1,100 (64.6) < 0.001
Obese (≥ 90 cm for men/85 cm for women) 267 (14.8) 401 (22.2)   490 (28.8) 602 (35.4)  

1) By paired t-test or McNemar's test 2) Mean ± SD 3) Not significant 4) Waist circumference 5) Body mass index 6) N(%)

Table 3.
Changes in weight and waist circumference over 8 years by general characteristics at baseline
  Men (n = 1,804) Women (n = 1,702)
  N Weight (kg) WC1) (cm) N Weight (kg) WC (cm)
Total 1,804 –0.35 ± 3.802)   1.71 ± 5.30   1,702 –0.65 ± 3.51   1.85 ± 6.18  
Area                    
Urban (Ansan) 1,022 –0.34 ± 3.76 NS3) –0.02 ± 5.15 < 0.0014) 870 –0.46 ± 3.55 < 0.05 0.38 ± 6.49 < 0.001
Rural (Ansung) 782 –0.37 ± 3.85   3.97 ± 4.59   832 –0.84 ± 3.46   3.40 ± 5.43  
Age (yrs)                    
40 ∼ 49 1,030 0.07 ± 3.83 < 0.001 1.25 ± 5.09 < 0.001 963 –0.25 ± 3.57 < 0.001 1.65 ± 6.34 NS
50 ∼ 59 439 –0.79 ± 3.63   1.66 ± 5.62   428 –0.90 ± 3.37   2.23 ± 6.01  
60 ∼ 69 335 –1.07 ± 3.76   3.21 ± 5.24   311 –1.52 ± 3.33   1.96 ± 5.87  
Education                    
≤ Middle school graduate 702 –0.23 ± 3.69 NS 2.90 ± 5.21 < 0.001 1,040 –0.92 ± 3.56 < 0.001 2.28 ± 5.95 < 0.01
High school graduate 696 –0.34 ± 3.89   1.35 ± 5.15   540 –0.25 ± 3.45   1.18 ± 6.52  
≥ College graduate 406 –0.57 ± 3.83   0.27 ± 5.25   122 –0.08 ± 3.10   1.23 ± 6.28  
Monthly income (10,000 won)                    
< 100 449 –0.63 ± 3.84 NS 3.31 ± 5.04 < 0.001 582 –1.05 ± 3.58 < 0.01 2.62 ± 5.94 < 0.01
100 ∼ 200 546 –0.20 ± 3.86   2.15 ± 5.17   505 –0.61 ± 3.40   1.62 ± 6.09  
200 ∼ 300 409 –0.14 ± 3.86   1.02 ± 5.18   322 –0.39 ± 3.79   1.26 ± 6.87  
≥ 300 400 –0.45 ± 3.59   0.03 ± 5.28   293 –0.18 ± 3.15   1.37 ± 5.85  
Job                    
Farmer 574 –0.28 ± 3.66 NS 4.03 ± 4.52 < 0.001 354 –1.03 ± 3.47 NS 3.21 ± 5.46 < 0.001
Housewife 0         897 –0.61 ± 3.47   1.50 ± 6.29  
Self-employed 422 –0.46 ± 3.76   0.58 ± 5.55   148 –0.73 ± 3.70   1.15 ± 6.39  
Office clerk/Professional 283 –0.42 ± 3.76   0.50 ± 4.97   55 0.02 ± 3.18   –0.34 ± 7.48  
Sales/Manufacturing worker 144 0.18 ± 3.71   1.12 ± 4.95   120 –0.40 ± 3.59   3.36 ± 5.13  
Other 378 –0.48 ± 4.09   0.60 ± 5.35   128 –0.21 ± 3.66   0.96 ± 6.45  
Alcohol                    
No 511 –0.49 ± 3.56 NS 1.72 ± 5.24 NS 1,216 –0.77 ± 3.43 < 0.05 1.77 ± 6.15 NS
Yes 1,293 –0.29 ± 3.89   1.71 ± 5.32   486 –0.34 ± 3.70   2.05 ± 6.24  
Smoking                    
No 943 –0.73 ± 3.54 < 0.001 1.07 ± 5.22 < 0.001 1,658 –0.67 ± 3.49 NS 1.78 ± 6.17 < 0.01
Yes 861 0.06 ± 4.02   2.41 ± 5.30   44 0.15 ± 4.11   4.46 ± 6.06  
Smoking at follow-up                    
No 1214 –0.19 ± 3.84 < 0.05 1.73 ± 5.44 NS 1676 –0.63 ± 3.52 NS 1.84 ± 6.19 NS
Yes 590 –0.67 ± 3.69   1.67 ± 4.99   26 –1.45 ± 3.11   2.49 ± 5.31  
Physical activity                    
Rarely 844 –0.40 ± 3.80 NS 1.60 ± 5.25 NS 809 –0.76 ± 3.62 NS 1.99 ± 6.13 NS
< 30 min 241 –0.66 ± 3.85   1.58 ± 5.44   228 –0.85 ± 3.24   1.51 ± 5.56  
≥ 30 min 702 –0.19 ± 3.80   1.86 ± 5.31   648 –0.42 ± 3.47   1.77 ± 6.47  

1) Waist circumference 2) Mean ± SD 3) Not significant 4) p-value by t-test or ANOVA

Table 4.
Anthropomeric changes over 8 years in the three groups classified based on weight changes
    Men (n = 1,804) Women (n = 1,702)
    Weight loss Stable weight Weight gain p-value1) Weight loss Stable weight Weight gain p-value
    (n = 390) (n = 1,061) (n = 353) (n = 417) (n = 955) (n = 330)
Height (cm) Baseline 166.7 ± 5.7 166.8 ± 5.8 167.3 ± 5.7 NS 154.4 ± 5.3 154.6 ± 5.4 154.5 ± 5.5 NS
  Follow-up 166.5 ± 5.8 166.5 ± 5.8 167.1 ± 5.7 NS 154.1 ± 5.5 154.2 ± 5.7 153.9 ± 5.9 NS
  8-year change –0.2 ± 0.9 –0.2 ± 0.8 –0.2 ± 0.8 NS –0.3 ± 1.0a –0.4 ± 1.0a –0.5 ± 1.6b < 0.01
Weight (kg) Baseline 69.3 ± 10.4a 2) 66.2 ± 9.1b 65.5 ± 8.8b < 0.001 61.5 ± 8.3a 57.5 ± 7.7b 56.5 ± 7.8b < 0.001
  Follow-up 64.0 ± 10.2c 65.9 ± 9.1b 70.4 ± 9.2a < 0.001 56.5 ± 8.0b 57.2 ± 7.8b 60.4 ± 8.2a < 0.001
  8-year change –5.3 ± 2.4c –0.3 ± 1.6b 4.9 ± 2.3a < 0.001 –5.0 ± 2.4c –0.3 ± 1.5b 4.0 ± 2.1a < 0.001
WC3) (cm) Baseline 84.5 ± 7.9a 81.9 ± 7.2b 81.1 ± 7.0b < 0.001 82.9 ± 8.6a 79.3 ± 9.0b 77.6 ± 8.8b < 0.001
  Follow-up 81.8 ± 8.3c 83.6 ± 7.9b 87.6 ± 7.5a < 0.001 80.8 ± 9.1b 81.3 ± 9.5b 84.1 ± 9.4a < 0.001
  8-year change –2.7 ± 4.8c 1.7 ± 4.3b 6.5 ± 4.4a < 0.001 –2.1 ± 5.5c 2.0 ± 5.4b 6.4 ± 5.7a < 0.001
BMI4) (kg/m2) Baseline 24.9 ± 3.1a 23.7 ± 2.7b 23.4 ± 2.6b < 0.001 25.8 ± 3.1a 24.1 ± 2.9b 23.7 ± 3.0b < 0.001
  Follow-up 23.0 ± 3.1c 23.7 ± 2.7b 25.2 ± 2.7a < 0.001 23.8 ± 3.0b 24.0 ± 2.9b 25.5 ± 3.1a < 0.001
  8-year change –1.8 ± 0.8c –0.0 ± 0.6b 1.8 ± 0.8a < 0.001 –2.0 ± 1.0c –0.0 ± 0.6b 1.8 ± 0.8a < 0.001
Prevalence of Baseline 191 (49.0)6) 340 (32.5) 91 (25.8) < 0.001 231 (55.4) 315 (33.0) 100 (30.3) < 0.001
obesiy5) Follow-up 97 (24.9) 332 (31.3) 176 (49.9) < 0.001 138 (33.1) 311 (32.6) 175 (53.1) < 0.001
Prevalence of Baseline 95 (24.4) 134 (12.6) 38 (10.8) < 0.001 163 (39.1) 258 (27.0) 69 (20.9) < 0.001
abdominal obesity7) Follow-up 64 (16.4) 209 (19.7) 128 (36.3) < 0.001 131 (31.4) 325 (34.0) 146 (44.2) < 0.001

1) By ANOVA or χ2-test 2) Mean ± SD, Different letters within the same row are significantly different at 0.05 by Tukey's test. 3) Wais circumference 4) Body mass index 5) BMI ≥ 25 kg/m2) N (%) 7) WC ≥ 90 cm for men, ≥ 85 cm for women

Table 5.
Mean energy intake and nutrient adequacy ratio (NAR) of selected nutrients at baseline
Men (n = 1,804) Women (n = 1,702) p-value
  Weight loss Stable weight Weight gain p-value1) Weight loss Stable weight Weight gain
  (n = 390) (n = 1,061) (n = 353)   (n = 417) (n = 955) (n = 330)
Energy (kcal/day) 1,966 ± 5872) 2,026 ± 665 2,023 ± 641 NS3) 1,845 ± 683 1,949 ± 761 1,902 ± 667 < 0.05
  (86.8)4) (88.1) (87.7) NS (100.8) (105.9) (103.0) NS
Protein 0.89b5) 0.92a 0.92a < 0.01 0.92b 0.94ab 0.94a < 0.05
Vitamin A 0.59b 0.64a 0.65a < 0.01 0.66 0.67 0.67 NS
Thiamine 0.86b 0.89a 0.89a < 0.01 0.85 0.88 0.88 < 0.05
Riboflavin 0.63b 0.66a 0.67a < 0.05 0.72 0.74 0.75 NS
Vitamin C 0.80 0.84 0.83 < 0.05 0.83 0.85 0.84 NS
Calcium 0.54b 0.59a 0.58a < 0.01 0.59 0.61 0.62 NS
Iron 0.85b 0.88a 0.87a < 0.01 0.80 0.81 0.80 NS
MAR6) 0.74b 0.77a 0.77a < 0.01 0.77 0.79 0.79 NS

1) By ANOVA 2) Mean ± SD 3) Not significant 4) Percentage of estimated energy requirements 5) NAR, Different letters within the same row are significantly different at 0.05 by Tukey's test. 6) Mean adequacy ratio

Table 6.
Mean intake of selected sugar containing foods and beverages at baseline
  Men (n = 1,804) Women (n = 1,702)
  Weight loss Stable weight Weight gain p-value 1) p-value 2) Weight loss Stable weight Weight gain p-value p-value
  (n = 390) (n = 1,061) (n = 353)     (n = 417) (n = 955) (n = 330)    
Bread                    
Loaf bread 4.0 ± 9.73) 4.4 ± 12.1 4.8 ± 10.2 NS4) NS 4.4 ± 9.8 5.0 ± 11.1 5.5 ± 10.3 NS NS
Bread with red bean paste 3.5 ± 8.6 4.4 ± 16.2 3.5 ± 9.4 NS NS 3.5 ± 9.5 3.5 ± 8.8 3.9 ± 7.9 NS NS
Choco pie/cake 2.1 ± 6.8 2.8 ± 8.3 3.0 ± 16.7 NS NS 2.1 ± 8.7 2.4 ± 7.2 1.9 ± 5.0 NS NS
Other (bread with cream, castella) 4.2 ± 9.7 4.9 ± 13.9 4.6 ± 11.1 NS NS 4.0 ± 15.2 4.2 ± 10.1 4.4 ± 8.3 NS NS
Confectionery                    
Cookies 4.6 ± 9.0 5.4 ± 10.4 5.0 ± 9.5 NS NS 3.9 ± 8.6 5.5 ± 11.7 5.7 ± 10.6 < 0.05 NS
Candy/Chocolate 2.0 ± 5.6 1.7 ± 5.0 1.6 ± 5.0 NS NS 1.7 ± 5.1 1.8 ± 3.9 1.3 ± 3.3 NS NS
Ice cream 7.1 ± 15.8 9.1 ± 19.5 9.8 ± 26.3 NS NS 7.4 ± 19.7 9.5 ± 22.6 9.9 ± 19.2 NS NS
Beverages                    
Carbonated beverages 25.3 ± 44.3b5) 31.2 ± 54.8ab 38.1 ± 59.0a < 0.01 NS 19.9 ± 76.1 16.7 ± 38.4 16.8 ± 39.0 NS NS
Coffee (mix) 12.0 ± 13.1b 12.9 ± 13.0ab 14.5 ± 13.8a < 0.05 < 0.05 8.6 ± 9.8 7.9 ± 9.6 8.7 ± 9.6 NS NS
Green tea 38.1 ± 72.9 39.3 ± 74.2 40.2 ± 68.3 NS NS 40.1 ± 89.0 37.1 ± 73.3 35.6 ± 72.3 NS NS
Soy milk 10.3 ± 29.2 11.7 ± 36.7 10.0 ± 29.4 NS NS 6.5 ± 26.1 9.1 ± 42.5 8.6 ± 28.9 NS NS
Other beverages (Sikhye, Yuja-cha) 13.7 ± 31.0 17.5 ± 43.6 14.6 ± 33.0 NS NS 10.9 ± 27.6 11.3 ± 27.6 9.6 ± 22.0 NS NS
Dairy products                    
Milk 53.5 ± 95.7b 67.0 ± 104.7ab 72.0 ± 127.3a < 0.05 < 0.05 84.1 ± 132.5 82.3 ± 117.6 89.0 ± 117.3 NS NS
Yogurt 27.4 ± 52.1 28.6 ± 55.9 28.1 ± 57.8 NS NS 35.3 ± 67.2 33.6 ± 64.3 31.9 ± 59.3 NS NS
Total6) 116.0 ± 104.8b 134.6 ± 134.6a 137.6 ± 135.8a < 0.05 NS 108.2 ± 137.5 110.6 ± 121.7 108.1 ± 99.3 NS NS

1) By ANOVA 2) Adjusted for area, age, education, income, alcohol at baseline, and smoking at follow-up 3) Mean ± SD (g/day) 4) Not significant 5) Different letters within the same row are significantly different by Tukey's test. 6) Sum of the intakes of 12 items among 14 items except green tea and milk

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