Journal List > J Nutr Health > v.50(2) > 1081490

Lee, Choi, Park, Song, Lee, Hee, and Lim: Comparative analysis of dietary behavior and nutrient intake of elderly in urban and rural areas for development of “Village Lunch Table” program: Based on 2014 Korea National Health and Nutrition Examination Survey data

Abstract

Purpose

We conducted comparative analysis of dietary behavior and food and nutrient intakes of Korean elderly in urban and rural areas using the 2014 Korea National Health and Nutrition Examination Survey (KNHANES). Methods: This study was conducted on 1,239 participants (urban elderly: 867, rural elderly: 372) aged 65 years and over who participated in the health examination and nutrition survey in the 6th 2014 KNHANES. Dietary behaviors, including skipping meals, eating out frequencies, and food and nutrient intakes were analyzed using 24-hour recall data. Analysis of complex sample design data through SPSS 19.0 was used for the analysis. Results: The rate of skipping dinner was higher in urban (6.5%) than in rural elderly (3.6%) (p < 0.05), and the frequency of eating out per week of urban elderly (1.73) was higher than that of rural elderly (1.35) (p < 0.001). The rural elderly consumed a greater amount of grain compared to urban elderly, whereas consumption of water, seaweed food, and dairy products was lower in rural than in urban areas (p < 0.05). The rural elderly consumed significantly less highly unsaturated fatty acids, n-6 fatty acids, phosphorus, iron, vitamin A, carotene, niacin, and vitamin C in comparison with elderly in urban areas. Comparison of the percentages of Dietary Reference Intakes for Koreans (KDRIs) between the two groups showed that intakes of vitamin A and vitamin C were significantly lower in the rural elderly than in urban elderly. Conclusion: The elderly in rural areas showed unbalanced food and nutrient intakes compared to the elderly in urban areas. Therefore, customized nutrition education according to residential areas should be developed and provided to rural elderly to improve their health and nutritional status.

References

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Table 1.
General characteristics of urban and rural elderly
Variables Urban (n = 867) Rural (n = 372) Total (n = 1,239) p3)
Gender        
 Male 377 (41.7)1) 166 (44.1) 543 (42.3) 0.386
 Female 490 (58.3) 206 (55.9) 696 (57.7)
Age (yr)        
 65 ∼ 74 592 (65.3) 208 (54.5) 800 (62.5) < 0.001
 ≥ 75 275 (34.7) 164 (45.5) 439 (37.5)
Mean (yr) 72.6 ± 0.22) 73.8 ± 0.4 73.2 ± 0.2 0.005
Educational level        
 ≤ Elementary 503 (59.9) 263 (70.8) 766 (62.7)  
 Middle 119 (13.6) 50 (12.8) 169 (13.4) 0.025
 High 146 (16.1) 43 (11.9) 189 (15.0)
 ≥ College 99 (10.4) 16 (4.5) 115 (8.9)  
Household income        
 1 quartile 364 (43.4) 221 (59.9) 585 (47.7)  
 2 quartile 259 (29.0) 70 (19.1) 329 (26.4) 0.003
 3 quartile 131 (14.6) 53 (14.3) 184 (14.5)
 4 quartile 113 (13.0) 28 (6.7) 141 (11.4)  
Mean (10,000 won) 205.8 ± 13.52) 164.0 ± 27.0 184.9 ± 14.4 0.187
Single household        
 Yes 174 (18.6) 76 (20.0) 250 (19) 0.657
 No 693 (81.4) 296 (80.0) 989 (81)

1) Values are the n (%).

2) Values are the mean ± SE.

3) p-value by χ2-test or t-test

Table 2.
Dietary behavior of urban and rural elderly
Variables Urban (n = 867) Rural (n = 372) Total (n = 1,239) p3)
Skipping meals        
 Breakfast 50 (6.3)1) 10 (3.0) 60 (5.4) 0.075
 Lunch 66 (7.7) 16 (4.2) 82 (6.8) 0.059
 Dinner 54 (6.5) 12 (3.0) 66 (5.6) 0.030
Frequency of eating out (/week) 1.7 ± 0.12) 1.0 ± 0.1 1.4 ± 0.1 < 0.001
Participation in nutrition education 40 (4.8) 13 (3.8) 53 (4.6) 0.490

1) Values are the n (%).

2) Values are the mean ± SE.

3) p-value by χ2-test

Table 3.
Food group consumption of urban and rural elderly
Variables Crude1) Model 12) p1) p2) p3)
Urban (n = 867) Rural (n = 372) Urban (n = 867) Rural (n = 372)
Water (cup)4) 4.4 ± 0.1 3.9 ± 0.1 4.4 ± 0.1 4.0 ± 0.1 0.014 0.028 0.039
Cereals and grain products (g) 280.4 ± 6.0 310.8 ± 14.3 282.4 ± 0.6 315.7 ± 13.8 0.051 0.027 0.998
Potatoes and starches (g) 40.5 ± 4.8 37.8 ± 5.9 39.5 ± 4.5 39.9 ± 6.0 0.732 0.957 0.051
Sugars and sweets (g) 9.3 ± 0.9 6.9 ± 0.7 9.4 ± 1.0 7.0 ± 0.7 0.049 0.052 0.051
Legumes and their products (g) 41.9 ± 2.9 41.6 ± 5.0 42.5 ± 2.9 42.5 ± 4.9 0.966 0.996 0.950
Seeds and nuts (g) 9.0 ± 1.7 7.9 ± 2.0 9.1 ± 1.8 8.4 ± 2.1 0.154 0.792 0.634
Vegetables (g) 345.1 ± 11.5 321.1 ± 18.9 346.0 ± 11.3 331.2 ± 17.5 0.282 0.474 0.179
Mushrooms (g) 3.9 ± 1.4 2.8 ± 0.9 3.8 ± 1.4 3.1 ± 0.9 0.522 0.636 0.690
Fruits (g) 190.7 ± 9.5 143.3 ± 10.2 187.9 ± 9.2 149.9 ± 10.1 0.001 0.006 0.006
Seaweeds (g) 33.7 ± 5.0 16.7 ± 5.0 33.1 ± 4.8 18.7 ± 5.3 0.018 0.040 0.050
Beverages (g) 114.1 ± 9.0 101.0 ± 10.1 118.4 ± 9.2 107.7 ± 9.6 0.333 0.420 0.466
Seasonings (g) 28.5 ± 2.2 26.3 ± 1.5 29.1 ± 2.4 26.9 ± 1.5 0.412 0.486 0.365
Oils and fats (plant) (g) 5.0 ± 0.4 4.5 ± 0.5 5.1 ± 0.4 4.7 ± 0.5 0.400 0.542 0.380
Meats and their products (g) 52.5 ± 4.7 58.6 ± 10.1 53.9 ± 4.8 60.1 ± 9.6 0.586 0.562 0.589
Eggs (g) 13.5 ± 1.2 13.7 ± 2.2 13.6 ± 1.3 14.0 ± 2.2 0.957 0.876 0.468
Fishes and shellfishes (g) 104.2 ± 8.0 89.0 ± 14.3 104.1 ± 7.0 92.0 ± 14.0 0.357 0.452 0.408
Milk and dairy products (g) 60.0 ± 5.1 40.7 ± 6.6 59.2 ± 5.13 42.5 ± 6.5 0.023 0.045 0.083

Values are the mean ± SE. Complex sample general liner regression model (t-test) 1) Crude, not adjusted

2) Adjusted for sex, age, energy intake

3) Adjusted for sex, age, energy intake, education level, household income (quartile)

4) 1 cup = 200 ml

Table 4.
Nutrient intake of urban and rural elderly
Variables Crude1) Model 12)      
Urban (n = 867) Rural (n = 372) Urban (n = 867) Rural (n = 372) p1) p2) p3)
Energy (kcal) 1,686.6 ± 30.9 1,729.3 ± 61.9 1,703.2 ± 29.3 1,770.2 ± 53.8 0.542 0.278 0.154
Protein (g) 54.1 ± 1.3 54.1 ± 2.6 54.5 ± 0.71 53.3 ± 1.3 0.979 0.433 0.859
Fat (g) 26.1 ± 1.1 23.3 ± 2.0 26.2 ± 0.8 22.8 ± 1.8 0.242 0.086 0.197
Saturated fat acid (g) 7.2 ± 0.3 6.4 ± 0.5 7.2 ± 0.2 6.3 ± 0.5 0.21 0.075 0.184
Mono unsaturated fat acid (g) 7.6 ± 0.4 6.7 ± 0.8 7.6 ± 0.3 6.5 ± 0.7 0.332 0.132 0.271
Poly unsaturated fat acid (g) 7.4 ± 0.3 6.3 ± 0.5 7.4 ± 0.3 6.1 ± 0.4 0.066 0.025 0.073
n-3 fat acid (g) 1.3 ± 0.1 1.2 ± 0.1 1.3 ± 0.1 1.2 ± 0.1 0.551 0.380 0.778
n-6 fat acid (g) 6.1 ± 0.3 5.1 ± 0.4 6.1 ± 0.2 5.0 ± 0.4 0.049 0.023 0.059
Carbohydrate (g) 295.0 ± 5.2 310.0 ± 11.5 296 ± 2.5 304.1 ± 4.2 0.238 0.108 0.241
Fiber (g) 7.4 ± 0.2 7.5 ± 0.5 7.4 ± 0.2 7.5 ± 0.4 0.936 0.813 0.697
Calcium (mg) 428.9 ± 15.8 391.9 ± 21.9 430.0 ± 13.0 389.0 ± 17.6 0.176 0.070 0.117
Phosphorus (mg) 903.0 ± 21.1 868.6 ± 39.3 907.0 ± 11.5 861.1 ± 18.4 0.447 0.039 0.129
Iron (mg) 17.0 ± 0.8 15.5 ± 0.7 17.0 ± 0.6 15.4 ± 0.3 0.137 0.035 0.042
Sodium (mg) 3,075.3 ± 88.2 3,255.1 ± 164.7 3,099.2 ± 74.1 3,243.7 ± 138.0 0.348 0.368 0.402
Potassium (mg) 2,775.4 ± 71.1 2,652.3 ± 136.9 2,773.0 ± 49.4 2,631.2 ± 92.4 0.429 0.188 0.338
Vitamin A (μg/RE) 725.2 ± 45.3 566.1 ± 45.5 724.2 ± 45.6 559.3 ± 44.6 0.014 0.009 0.023
Carotene (μg) 3,942.5 ± 268.5 3,019.7 ± 268.8 3,930.4 ± 273.5 2,989.0 ± 255.0 0.016 0.013 0.025
Retinol (μg) 61.1 ± 6.6 52.3 ± 14.8 62.1 ± 6.5 51.13 ± 15.8 0.591 0.523 0.610
Vitamin B1 (mg) 1.7 ± 0.0 1.7 ± 0.1 1.7 ± 0.0 1.7 ± 0.0 0.798 0.217 0.305
Vitamin B2 (mg) 1.1 ± 0.0 1.0 ± 0.1 1.1 ± 0.0 1.0 ± 0.0 0.312 0.146 0.347
Niacin (mg) 13.0 ± 0.4 11.8 ± 0.5 13.1 ± 0.3 11.67 ± 0.3 0.071 < 0.001 0.003
Vitamin C (mg) 108.7 ± 5.7 82.7 ± 6.5 107.4 ± 5.1 83.0 ± 6.4 0.003 0.004 0.009

Values are the mean ± SE. Complex sample general liner regression model (t-test) Crude, not adjusted

2) Adjusted for sex, age, energy intakey

3) Adjusted for sex, age, energy intake. education level, household income (quartile)

Table 5.
Comparison of nutrient intake as a percentage of KDRIs of urban and rural elderly
Variables Urban (n = 867) Rural (n = 372) Total (n = 1,239) p
Energy1) 94.5 ± 1.7 96.2 ± 3.1 95.3 ± 1.8 0.651
Protein2) 108.8 ± 2.4 108.0 ± 4.9 108.4 ± 2.7 0.889
Vitamin A2) 117.9 ± 7.4 92.3 ± 7.5 105.1 ± 5.3 0.016
Vitamin C2) 108.7 ± 5.7 82.7 ± 6.5 95.7 ± 4.3 0.003
Vitamin B12) 148.1 ± 3.3 145.9 ± 6.1 147.0 ± 3.4 0.763
Vitamin B22) 78.4 ± 2.7 73.2 ± 4.4 75.8 ± 2.5 0.320
Niacin2) 86.9 ± 2.3 78.5 ± 3.5 82.7 ± 2.1 0.050
Calcium2) 57.6 ± 2.2 52.6 ± 3.0 55.1 ± 1.8 0.175
Potassium3) 130.0 ± 3.0 124.1 ± 5.6 126.5 ± 3.1 0.447
Sodium3) 247.3 ± 6.8 268.7 ± 13.2 258.0 ± 7.3 0.161
Phosphorus3) 79.3 ± 2.0 75.8 ± 3.9 77.5 ± 2.2 0.430
Iron2) 204.3 ± 9.5 188.1 ± 7.8 196.2 ± 6.1 0.192

Values are the mean ± SE. Complex sample general liner regression model (t-test) adjusted for sex, age 1) Estimated energy requirements (EER), 2015 KDRIs, 2015 dietary reference intakes for Koreans (2015 KDRIs)

2) Recommended nutrient intake (RNI)

3) Adequate intake (AI)

Table 6.
Food consumption frequency of urban and rural elderly
  Urban (n = 867)   Rural (n = 372)
Rank Menu Times / meal Rank Menu Times / meal
1 Cooked rice with multi-grain 0.36 1 Kimchi 0.41
1 Kimchi 0.36 2 Cooked rice with multi-grain 0.27
3 Cooked rice 0.13 3 Cooked rice 0.21
4 Coffee 0.08 4 Doenjang chigae 0.10
4 Doenjangchigae 0.08 5 Coffee 0.09
6 Apple 0.07 6 Yeolmukimchi (young leafy radish) 0.07
7 Stir-fried anchovies 0.06 7 Cooked rice with bean 0.06
8 Instant coffee mix 0.05 8 Stir-fried anchovies 0.05
8 Spinach 0.05 8 Instant coffee mix 0.05
8 Kkakduki (seasoned cubed radish roots) 0.05 10 Apple 0.04
11 SSamjang 0.04 10 Kkakduki (seasoned cubed radish roots) 0.04
11 Yeolmukimchi (young leafy radish) 0.04 10 Seasoned laver 0.04
11 Lettuce 0.04 10 Dongchimi (radish) 0.04
11 Seasoned eggplant 0.04 10 SSamjang 0.04
15 Kimchichigae 0.03 10 Yeolmumulkimchi (watery plain young leafy radish) 0.04
15 Bean sprouts 0.03 16 Lettuce 0.03
15 Roasted laver 0.03 16 Cooked brown rice 0.03
15 Milk 0.03 16 Cooked rice with barley 0.03
15 Mandarin orange 0.03 16 Spinach 0.03
15 Doenjang soup 0.03 16 Roasted laver 0.03
15 Seasoning 0.03 16 Doenjang soup 0.03
15 Yeolmumulkimchi (watery plain young leafy radish) 0.03 16 Soju 0.03
15 Seaweed soup 0.03 23 Seaweed soup 0.02
15 Soju 0.03 23 Mandarin orange 0.02
15 Gochujang 0.03 23 Nabkkimchi (sliced radish) 0.02
15 Cooked rice with barley 0.03 23 Bean sprouts 0.02
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