Table 3.
Participants' characteristics at baseline and associations between methionine intake with risk of MCI.
| All |
Cases |
Non-cases |
p-valuea | Model 1b |
Model 2c |
|||||
|---|---|---|---|---|---|---|---|---|---|---|
| (n = 106) | (n = 45) | (n = 61) | OR | 95%CI | p | OR | 95%CI | p | ||
| Age | 73.31 ± 0.55 | 74.36 ± 0.81 | 72.57 ± 0.72 | 0.059 | – | – | – | – | – | – |
| Sex, n (%) | 0.967 | – | – | – | – | – | – | |||
| Male | 45(42.5) | 19(42.2) | 26(42.6) | |||||||
| Female | 61(57.5) | 26(57.8) | 35(57.4) | |||||||
| Education, n (%) | 0.313 | – | – | – | – | – | – | |||
| No | 24(22.9) | 11(25.0) | 13(21.3) | |||||||
| Less than high school | 78(74.3) | 33(75.0) | 45(73.8) | |||||||
| High school or more | 3(2.9) | 0(0) | 3(4.9) | |||||||
| Family income (RMB/month), n (%) | 0.757 | – | – | – | – | – | – | |||
| <1000 | 53(50.0) | 21(46.7) | 32(52.5) | |||||||
| 1000-3000 | 37(34.9) | 16(35.6) | 21(34.4) | |||||||
| >3000 | 16(15.1) | 8(17.8) | 8(13.1) | |||||||
| Weight (kg) | 59.03 ± 1.23 | 58.37 ± 1.91 | 59.49 ± 1.62 | 0.723 | – | – | – | – | – | – |
| Height (cm) | 155.61 ± 0.84 | 155.52 ± 1.04 | 155.52 ± 1.23 | 0.883 | – | – | – | – | – | – |
| BMI | 24.28 ± 0.41 | 23.97 ± 0.67 | 24.50 ± 0.53 | 9.586 | – | – | – | – | – | – |
| No. of chronic diseases | 0.82 ± 0.08 | 0.80 ± 0.13 | 0.84 ± 0.10 | 0.693 | – | – | – | – | – | – |
| Diabetes, n (%) | 20(18.9) | 7(15.6) | 13(21.3) | 0.616 | – | – | – | – | – | – |
| Hypertensions, n (%) | 40(37.7) | 14(31.1) | 26(42.6) | 0.311 | – | – | – | – | – | – |
| Coronary heart disease, n (%) | 7(6.6) | 5(11.1) | 2(3.3) | 0.132 | – | – | – | – | – | – |
| Currently Smoking | 7(6.6) | 9(20.0) | 9(14.8) | 0.602 | – | – | – | – | – | – |
| Currently drinking | 18(17.0) | 11(24.4) | 7(11.5) | 0.115 | – | – | – | – | – | – |
| Energy (kcal/d) | 1648.76 ± 68.32 | 1774.50 ± 123.89 | 1560.75 ± 76.16 | 0.352 | – | – | – | – | – | – |
| Methionine (in mg/d) | 696.65 ± 56.03 | 889.04 ± 119.86 | 561.98 ± 37.45 | 0.050 | 0.087 | 0.047 | ||||
| Q1[54.43–365.31] | 259.36 ± 16.94 | 276.23 ± 19.80 | 247.00 ± 25.64 | 0.35 | 0.09–1.31 | 0.119 | 0.24 | 0.04–1.36 | 0.107 | |
| Q2[365.31–534.31] | 446.44 ± 10.16 | 451.03 ± 28.27 | 445.12 ± 10.73 | 0.15 | 0.03–0.65 | 0.011 | 0.08 | 0.01–0.47 | 0.005 | |
| Q3[534.31–841.96] | 706.00 ± 17.76 | 699.69 ± 28.09 | 711.04 ± 23.55 | 0.38 | 0.10–1.26 | 0.109 | 0.26 | 0.06–1.09 | 0.065 | |
| Q4[841.96–4007.88] | 1356.82 ± 147.61 | 1547.77 ± 228.08 | 1051.31 ± 42.24 | Ref | Ref | |||||
| Test for trend d | 0.051 | 0.035 | ||||||||
Data are represented as n (%) or mean ± SD. p-value <0.05 are in bold type. --, not applicable; Q1, Quartile 1; Q2, Quartile 2; Q3, Quartile 3; Q4, Quartile 4.
a
χ2 test was used for categorical variables, the Mann-WhitneyU test or Kruskal-Wallis one way ANOVA test was used for continuous variables.
b
Model 1: Adjusting for age, sex, education level, family income, smoking status and alcohol status.
c
Model 2: Adjusting for model 1 variables, BMI, daily energy intake and numbers of chronic diseases.
d
To estimate the trend in quartiles, methionine intake was fitted as pseudo-continuous using the median raw value.