| Literature DB >> 31819449 |
Wei Li1,2, Lin Sun1,2, Ling Yue1,2, Guanjun Li1,2, Shifu Xiao1,2.
Abstract
BACKGROUND: Emerging evidence has suggested that green vegetables may prevent cognitive decline.Entities:
Keywords: Chinese; cognitive impairment; dietetic association; elderly; green vegetables
Year: 2019 PMID: 31819449 PMCID: PMC6875499 DOI: 10.2147/NDT.S221074
Source DB: PubMed Journal: Neuropsychiatr Dis Treat ISSN: 1176-6328 Impact factor: 2.570
Figure 1Research flow chart. This picture describes our research process, criteria for enrollment, and the subjects eventually included in the study.
Description Of The Study Sample Based On Cognitive Status
| Variable | MCI (n=101) | NC (n=406) | X2 OR t | p |
|---|---|---|---|---|
| Age, y | 72.72±9.901 | 65.74±9.661 | 6.458 | 0.000* |
| Education,y | 5.99±4.390 | 9.32±3.786 | −6.998 | 0.000* |
| Male, N (%) | 42(41.6) | 191(47.0) | 0.971 | 0.372 |
| Cigarette smokers, N (%) | 22(21.8) | 103(25.4) | 0.560 | 0.520 |
| Alcohol consumption, N (%) | 15(14.9) | 66(16.3) | 0.119 | 0.879 |
| Drinking tea, N(%) | 43(46.2) | 186(45.8) | 0.343 | 0.578 |
| Taking exercise, N(%) | 68(67.3) | 276(68.0) | 0.016 | 0.906 |
| Have hobby, N(%) | 89(88.1) | 306(75.4) | 7.639 | 0.005* |
| Surfing internet, N(%) | 6(5.9) | 72(17.7) | 8.641 | 0.002* |
| Sleep time per night (youth),h | 7.391±1.436 | 7.725±0.907 | −2.230 | 0.028* |
| Eating habits | ||||
| Vegetarian diet, N(%) | 37(36.6) | 92(22.7) | 12.647 | 0.002* |
| Meat diet, N(%) | 8(7.9) | 16(3.9) | ||
| Meat and vegetable collocation, N(%) | 56(55.4) | 298(73.4) | ||
| Long-term residence | ||||
| City, N(%) | 85(84.2) | 383(94.3) | 19.205 | 0.000* |
| Town, N(%) | 4(4.0) | 14(3.4) | ||
| Village, N(%) | 12(11.9) | 9(2.2) | ||
| Hypertension, N(%) | 62(61.4) | 38(9.4) | 4.613 | 0.125 |
| Diabetes, N(%) | 21(20.8) | 10(2.5) | 8.667 | 0.070 |
| Hyperlipidemia, N(%) | 26(25.7) | 15(3.7) | 8.102 | 0.088 |
| MMSE | 22.39±5.992 | 28.19±3.172 | −9.408 | 0.000* |
| MoCA | 16.82±6.027 | 27.03±4.266 | 16.052 | 0.000* |
| Green vegetables, N(%) | 79(78.2) | 381(93.8) | 23.475 | 0.000* |
| Red meat, N(%) | 14(13.9) | 95(23.4) | 5.385 | 0.068 |
| Bread | 5(5.0) | 50(12.3) | 5.129 | 0.077 |
| Bean curd | 2(1.98) | 48(11.8) | 9.194 | 0.010* |
| Ginger | 3(2.97) | 304(74.9) | 19.679 | <0.001* |
Note: *p<0.05.
Green Vegetables Consumption (As Categorical Variable) And Mild Cognitive Impairment
| Green Vegetables Consumption | B | S.E | Wald | df | p | OR | 95% CI | |
|---|---|---|---|---|---|---|---|---|
| Upper Limits | Lower Limits | |||||||
| Model a | −1.446 | 0.317 | 20.742 | 1 | 0.000 | 0.236 | 0.126 | 0.439 |
| Model b | −1.518 | 0.323 | 22.115 | 1 | 0.000 | 0.219 | 0.116 | 0.412 |
| Model c | −1.532 | 0.323 | 22.155 | 1 | 0.000 | 0.218 | 0.116 | 0.411 |
Notes: a, basic model, no adjustment. b, adjusted for age, gender, education, hobby, surfing Internet, sleep time per night (youth), eating habits, and long-term residents. c, adjusted for all variables in model 2 + the consumption of bean curd, and ginger.
Figure 2ROC curve of weekly consumption of green vegetables for predicting MCI. This figure explains the sensitivity and specificity of using the number of green vegetables eaten per week to predict MCI.