A Comparison between Dietary Consumption Status and Healthy Dietary Pattern among Adults Aged 55 and Older in China
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Population
2.2. Assessment of Food Consumption
2.3. Measurement of Sociodemographic Characteristics
2.4. Statistical Analysis
3. Results
3.1. Baseline Characteristics of the Study Population
3.2. Differences in Dietary Consumption Status between the Years 2018 and 2020
3.3. Sociodemographic Disparity in Dietary Consumption Status in 2020
3.4. Proportion of Subjects with Insufficient, Adequate, or Excessive Food Intake Compared to Chinese Dietary Guidelines Recommendations in 2020
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Foods | Consumption Amount (g/day) a | p-Value | Consumption Rate b | p-Value | ||
---|---|---|---|---|---|---|
2018 | 2020 | 2018 | 2020 | |||
Rice | 120.0 (42.9, 225.0) | 120.0 (28.6, 240.0) | 0.987 | 11,787 (96.9) | 10,672 (95.9) | <0.001 |
Wheat | 75.0 (21.4, 150.0) | 57.1 (14.3, 120.0) | <0.001 | 11,138 (91.5) | 9711 (87.3) | <0.001 |
Other cereals | 10.7 (1.0, 28.6) | 7.5 (0.0, 28.0) | <0.001 | 9386 (77.1) | 8076 (72.6) | <0.001 |
Tubers | 21.1 (6.7, 44.9) | 16.7 (4.2, 40.0) | <0.001 | 10,475 (86.1) | 9073 (81.5) | <0.001 |
Whole grains and mixed beans | 0.7 (0.0, 5.7) | 0.0 (0.0, 3.0) | <0.001 | 6888 (56.6) | 5087 (45.7) | <0.001 |
Vegetables | 169.9 (84.3, 298.0) | 168.5 (85.7, 294.5) | 0.854 | 12,058 (99.1) | 11,079 (99.6) | <0.001 |
Fruits | 42.2 (16.7, 87.4) | 33.2 (12.7, 72.0) | <0.001 | 11,523 (94.7) | 10,161 (91.3) | <0.001 |
Legumes | 8.4 (3.0, 17.5) | 6.5 (2.6, 15.5) | <0.001 | 10,963 (90.1) | 9774 (87.8) | <0.001 |
Livestock meat | 28.1 (10.5, 57.1) | 28.6 (12.9, 57.1) | 0.002 | 11,578 (95.2) | 10,499 (94.3) | 0.005 |
Poultry | 5.0 (1.1, 14.3) | 6.7 (1.7, 14.3) | <0.001 | 9893 (81.3) | 9224 (82.9) | 0.002 |
Organ and processed meat | 0.0 (0.0, 2.7) | 0.0 (0.0, 1.4) | <0.001 | 4682 (38.5) | 3778 (34.0) | <0.001 |
Fish and seafood | 7.2 (0.8, 28.6) | 6.7 (0.1, 21.4) | <0.001 | 9465 (77.8) | 8359 (75.1) | <0.001 |
Eggs | 25.8 (12.9, 57.1) | 30.0 (14.3, 51.7) | <0.001 | 11,247 (92.4) | 10,539 (94.7) | <0.001 |
Dairy products | 0.0 (0.0, 60.6) | 0.0 (0.0, 63.3) | 0.051 | 5029 (41.3) | 4338 (39.0) | <0.001 |
Nuts | 0.7 (0.0, 5.7) | 0.0 (0.0, 3.3) | <0.001 | 6888 (56.6) | 5180 (46.6) | <0.001 |
Snacks | 0.1 (0.0, 7.1) | 0.0 (0.0, 5.3) | <0.001 | 6119 (50.3) | 4831 (43.4) | <0.001 |
Water and beverage * | 813.3 (500.0, 1300.0) | 800.0 (480.0, 1220.0) | <0.001 | 11,700 (96.2) | 10,672 (95.9) | 0.295 |
Edible oil | 27.8 (17.5, 40.0) | 26.2 (16.7, 41.7) | <0.001 | 12,162 (100.0) | 11,067 (99.4) | <0.001 |
Salt | 5.5 (3.6, 7.5) | 6.7 (4.2, 10.8) | <0.001 | 12,157 (99.9) | 11,068 (99.5) | <0.001 |
Characteristics | Rice | Wheat | Other Cereals | Tubers | Vegetables | Fruits | Legumes | Livestock Meat | Poultry | Fish and Seafood | Eggs | Water and Beverage | Edible Oil | Salt |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Gender | ||||||||||||||
Male | 120.3 | 60.0 | 7.4 | 16.7 | 164.3 | 30.0 | 6.4 | 30.9 | 6.7 | 6.7 | 30.1 | 900.0 | 26.7 | 6.7 |
Female | 120.0 | 51.4 | 7.5 | 16.8 | 171.1 | 35.2 | 6.6 | 28.6 | 6.7 | 6.7 | 30.0 | 800.0 | 25.1 | 6.7 |
p-Value | 0.007 | <0.001 | 0.861 | 0.932 | 0.145 | <0.001 | 0.711 | <0.001 | 0.120 | 0.670 | 0.429 | <0.001 | 0.007 | 0.399 |
Age group (years) 2 | ||||||||||||||
55–64 | 140.0 a | 57.1 a | 7.1 | 17.0 | 171.4 a | 34.7 a | 6.6 | 31.3 a | 6.7 a | 6.7 a | 30.0 | 900.0 a | 26.7 a | 6.7 |
65–74 | 120.0 a | 57.1 | 8.0 | 17.1 | 174.6 a | 34.3 a | 6.7 a | 29.0 a | 6.7 b | 6.7 a | 30.2 | 800.0 b | 26.7 | 6.7 |
≥75 | 120.0 b | 51.4 b | 7.1 | 15.7 | 153.6 b | 28.6 b | 6.4 b | 27.3 b | 4.7 c | 5.6 b | 29.8 | 800.0 b | 25.0 b | 6.7 |
p-Value | 0.006 | 0.012 | 0.049 | 0.062 | <0.001 | <0.001 | 0.041 | <0.001 | <0.001 | <0.001 | 0.594 | <0.001 | 0.026 | 0.073 |
Residential area | ||||||||||||||
Rural | 100.0 | 75.0 | 8.2 | 14.8 | 166.9 | 30.1 | 6.4 | 30.0 | 5.7 | 4.0 | 29.7 | 800.0 | 26.7 | 6.8 |
Urban | 150.0 | 50.0 | 7.1 | 18.0 | 169.3 | 36.4 | 7.7 | 28.6 | 6.7 | 8.8 | 30.4 | 880.0 | 25.3 | 6.7 |
p-Value | <0.001 | <0.001 | 0.034 | <0.001 | 0.762 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | 0.038 | 0.124 | <0.001 | <0.001 |
Education level 2 | ||||||||||||||
Illiteracy | 100.0 a | 60.0 a | 7.6 bc | 16.0 a | 154.1 a | 26.8 a | 6.4 a | 23.1 a | 5.0 a | 3.3 a | 28.6 a | 720.3 a | 30.8 c | 7.2 c |
Primary school and below | 150.0 b | 50.0 b | 6.7 b | 15.3 a | 170.9 b | 30.7 b | 6.4 b | 29.1 b | 5.8 b | 6.7 b | 28.6 a | 800.0 b | 25.8 b | 6.7 b |
Middle school | 100.0 a | 71.4 a | 10.0 a | 18.0 b | 182.3 c | 39.8 c | 7.2 c | 30.2 bc | 6.7 b | 6.7 b | 34.3 b | 1000.0 c | 25.0 ab | 6.7 ab |
High school and above | 140.0 b | 57.1 b | 8.6 ac | 18.7 | 157.3 ab | 45.7 d | 8.8 d | 33.5 c | 7.1 c | 10.5 c | 42.9 c | 1000.0 c | 23.3 a | 6.5 a |
p-Value | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 |
Monthly household income per capital (RMB) 2 | ||||||||||||||
<1000 | 42.9 a | 100.0 a | 13.3 a | 18.0 a | 155.8 a | 26.7 a | 6.4 a | 21.4 a | 4.0 a | 1.6 a | 40.5 a | 800.0 | 30.0 a | 7.7 a |
1000~3999 | 142.9 b | 57.1 b | 6.7 b | 16.3 | 178.8 b | 34.3 b | 6.9 b | 30.7 b | 6.7 b | 6.7 b | 29.7 b | 810.0 | 25.0 b | 6.3 b |
≥4000 | 200.0 c | 34.3 c | 6.7 c | 17.0 b | 151.4 a | 36.8 b | 6.9 b | 30.7 b | 7.1 c | 14.3 c | 28.6 c | 807.1 | 25.0 c | 7.2 c |
p-Value | <0.001 | <0.001 | <0.001 | 0.073 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | 0.043 | <0.001 | <0.001 |
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Zhang, S.; Wang, L.; Jia, X.; Zhang, J.; Jiang, H.; Li, W.; Huang, F.; Wang, H.; Zhang, B.; Ding, G.; et al. A Comparison between Dietary Consumption Status and Healthy Dietary Pattern among Adults Aged 55 and Older in China. Nutrients 2022, 14, 2778. https://doi.org/10.3390/nu14132778
Zhang S, Wang L, Jia X, Zhang J, Jiang H, Li W, Huang F, Wang H, Zhang B, Ding G, et al. A Comparison between Dietary Consumption Status and Healthy Dietary Pattern among Adults Aged 55 and Older in China. Nutrients. 2022; 14(13):2778. https://doi.org/10.3390/nu14132778
Chicago/Turabian StyleZhang, Siting, Liusen Wang, Xiaofang Jia, Jiguo Zhang, Hongru Jiang, Weiyi Li, Feifei Huang, Huijun Wang, Bing Zhang, Gangqiang Ding, and et al. 2022. "A Comparison between Dietary Consumption Status and Healthy Dietary Pattern among Adults Aged 55 and Older in China" Nutrients 14, no. 13: 2778. https://doi.org/10.3390/nu14132778
APA StyleZhang, S., Wang, L., Jia, X., Zhang, J., Jiang, H., Li, W., Huang, F., Wang, H., Zhang, B., Ding, G., & Wang, Z. (2022). A Comparison between Dietary Consumption Status and Healthy Dietary Pattern among Adults Aged 55 and Older in China. Nutrients, 14(13), 2778. https://doi.org/10.3390/nu14132778