Table 4.
Associations between adherence to nutrient patterns and skeletal muscle mass index.
| Nutrient Patterns | Tertiles of Nutrient Patterns | 1-SD increase of NP score | ||||||
|---|---|---|---|---|---|---|---|---|
| Bottom | Middle | Upper | ||||||
| β (95% CI) | P | β (95% CI) | P | β (95% CI) | P | β (95% CI) | P | |
| Animal Protein – Vitamins | ||||||||
| n (NP score) | 92 (−2.46 to −0.46) | 92 (−0.45 to 0.26) | 91 (0.27 to 4.94) | |||||
| Model 1a | Ref. |
0.027 (−0.109; 0.162) |
0.705 |
0.158 (0.022; 0.293) |
0.023 |
0.144 (0.026; 0.262) |
0.016 | |
| Model 2b | Ref. |
0.059 (−0.044; 0.162) |
0.257 |
0.129 (0.024; 0.234) |
0.016 |
0.132 (0.039; 0.225) |
0.005 | |
| Model 3c | Ref. |
0.051 (−0.050; 0.152) |
0.302 |
0.123 (0.019; 0.227) |
0.020 |
0.122 (0.030; 0.215) |
0.009 | |
| Fiber-Plant Protein-Minerals | ||||||||
| n (NP score) | 92 (−2.20 to −0.45) | 92 (−0.43 to 0.34) | 91 (0.34 to 3.87) | |||||
| Model 1a | Ref. |
−0.060 (−0.197; 0.077) |
0.387 |
−0.057 (−0.194; 0.080) |
0.410 |
−0.062 (−0.007; 0.244) |
0.298 | |
| Model 2b | Ref. |
−0.054 (−0.158; 0.049) |
0.304 |
−0.039 (−0.146; 0.067) |
0.463 |
−0.044 (−0.137; 0.050) |
0.359 | |
| Model 3c | Ref. |
−0.044 (−0.148; 0.060) |
0.410 |
−0.070 (−0.177; 0.037) |
0.195 |
−0.065 (−0.159; 0.028) |
0.170 | |
| Fats | ||||||||
| n (NP score) | 91 (−2.44 to −0.48) | 93 (−0.47 to 0.35) | 91 (0.37 to 3.25) | |||||
| Model 1a | Ref. |
0.127 (−0.009; 0.264) |
0.067 |
0.006 (−0.130; 0.143) |
0.929 |
0.058 (−0.060; 0.177) |
0.337 | |
| Model 2b | Ref. |
0.068 (−0.038; 0.173) |
0.207 |
−0.005 (−0.110; 0.100) |
0.924 |
0.042 (−0.049; 0.133) |
0.362 | |
| Model 3c | Ref. |
0.070 (−0.034; 0.174) |
0.188 |
−0.001 (−0.104; 0.102) |
0.988 |
0.051 (−0.038; 0.141) |
0.261 | |
Note: Results from linear regression analyses are presented as β coefficient and 95% confidence interval (95% CI). NP, Nutrient pattern; SD, standard deviation. aModel 1 was crude; bModel 2 was adjusted for age (years), energy intake (kcal/d) and total body fat mass (%); cModel 3 was adjusted for age (years), energy intake (kcal/d) and total body fat mass (%), economic status (low/medium/high) and place of residence (village, a city with a population less than 50 thousand citizens, a city with a population of 50–100 thousand citizens or city with a population of more than 100 thousand citizens).